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The Gravitational Waves Reflection In The Solar System

(Analytical Study) (Revised)

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Abstract

Paper question

How Is Planet Velocity Defined?

Paper Hypothesis No. (1)

The solar system is one energy moves in space and reflects 3 times - the points of the reflection are the planets- as a result- the planets are created depending one each other by this energy reflection.

The Explanation Of The Hypothesis No. (1)

I- Preface

Why do we need to define Planet velocity here? Because

Planet velocity definition disproves The Solar System Classical Description. 

II- The hypothesis Explanation in details

The Energy Reflection Definition

The Energy Reflection Proves

The Energy Reflection Result

The Energy Reflection Objective

Saturn Creation Depends On Uranus And The Earth

Let's explain the previous items in following

I- Preface

Why do we need to define Planet velocity before any other discussion in this paper? Because Planet velocity disproves The Solar System Classical Description. 

The classical description refutation is a great event because the theories depend on it and – that means- more than 12 theories are wrong in the modern physics book

Shortly- more than the half of the modern physics book provides imaginary ideas and wrong theories because the solar system classical description is wrong.

Let's see examples to explain that clearly

Example No. (1)

No Planet Moves By The Sun Gravity- Newton is wrong- I have proved this fact since long time- and I explained that- Planet moves by the force caused its creation- means- the planet creation and motion is done by one force only otherwise this planet would be broken- simply – if two forces have effects on the same planet it would be broken- means- the planet moves with its creation force- again No planet moves by the sun gravity-

The example shows a gap between the physics book and the solar system facts – Newton imaginary idea is believed by everyone since 400 years! 

But- the example doesn't show how great the gap is- in fact the shock is coming from The Sun Nuclear Fusion Theory- let's see the next example

Example No. (2)

The Sun Is Created By The Planets Motions Energies–The Sun Is A Phenomenon

Here we can see the gap clearly

The solar planets were found in their orbits before the sun creation and the planets were revolving around a point in space (this point has no light)

The planet motion produces energy (1/2 mv^2) and this energy is stored in the space in waves form- the planets were revolving around this point for long periods till the stored motion energy in the space be massive energy-

From this massive motion energy the light beam is created (the sun rays is created)

The sun rays is created from this energy- that tells why the sun corona temperature is 5 millions Kelvin but the sun surface is 5800 Kelvin- simply- because The Sun Is Not Doing Nuclear Fusion To Produce Its Rays, the rays is created by the planets motions energies– The Sun Rays Show The Great Gap Between The Physics Book And The Facts  

The wrong description is the reason behind the imaginary ideas and wrong theories in the physics book- one more example- the scientists won Nobel prize in physics for their discovery for the gravitational waves- these scientists told us – the gravitational waves are produced by the sun gravitational field which is NOT FACT– the gravitational waves are produced by Planet motion energy- where the planet moves and produces energy (1/2 mv^2) and the planet can't store its motion energy inside its body otherwise its temperature would be raised for that the planet motion energy is stored in the space In Waves Form- the scientists discovered these waves and they called them gravitational waves!! Let's provide one more example

Example No. (3)

The big bang theory tells us the planet creation is done by random process- in details- the theory tells–some planets are suffered from collisions and these collisions changed their diameters and masses- by that we can't know their original diameters and masses by that the current values of these diameters and masses are found by chance and without any geometrical reasons and should be considered random data-

For example- Jupiter diameter now is 142984 km but what's this diameter value in the first creation of Jupiter?

The big bang theory and all random creation ideas are wrong and nonsense- shortly- I have my planet diameter equation which proves Planet diameter is created based on a geometrical rule- means- for example- Jupiter diameter is created at first as 142984 km and never changed since its creation- if any planet had collision and changed its diameter this collision results would be recorded in this planet motion features- as happened with Mars- Mars original orbit was between Mercury and Venus and Mars had migrated to its current orbit- and Mars had collided with Venus and The Earth in its migration motion- but Mars diameter equation refers frequently to its original orbit features and data- that tells the planet motion provides a record for its history because all data is required for planet motion- by that – all data depends on geometrical rules and no random process is used in it –

let's introduce my planet diameter equation in following….

Planet Diameter Equation (v1/v2)= (s/r)= I

v = Planet Velocity                                                and  r = Planet Diameter

s= Planet Rotation Periods Number In Its Orbital Period

I= Planet Orbital Inclination        (example, 1.8 degrees be produced as a rate 1.8)

v2, s, r and I are belonged to one planet and v1 is belonged to another planet

The planet (v1) is defined by test the minimum error 

Earth Equation uses Neptune velocity

Mars Equation uses Pluto velocity

Jupiter Equation uses the Earth moon velocity

Saturn Equation uses Mars velocity

Uranus Equation uses Neptune velocity (As Earth)

Neptune Equation uses Saturn velocity

Pluto Equation uses the Earth moon velocity (As Jupiter)

(The Equation works from The Earth To Pluto) (the discussion explains the reason)

Example

Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8         

89143                            = Neptune rotation periods number in Neptune orbital period

49528 km                 = Neptune diameter

9.7 km/s                   = Saturn velocity

5.4 km/s                   = Neptune velocity

59800 days              = Neptune orbital period (and Neptune rotation period =16.1 hours)

1.8 degrees               = Neptune Orbital Inclination

The equation tells planet diameter is created based on its velocity –means- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s

The Equation Concept

Planet diameter should be a function in its orbital distance –otherwise- this planet would be broken by its motion- the fact is that – The necessary requirement for planet safe motion is to create a function between this planet diameter and its orbital distance

BUT- the designer can't create a function has only 2 variables (Planet diameter and its orbital distance)- the function in this case can't be useful because – If this planet changes its orbital distance its diameter would be broken also because the diameter is a direct function in the orbital distance without any other variables -As A Result  

The designer created the planet diameter as a function in this planet rotation period and the planet rotation period is created as a function in this planet velocity and the planet velocity is created as a function in this planet orbital distance- by that- the function between the planet diameter and its orbital distance is created but the function contains also more variables (rotation period, orbital period and velocity)- by that- if the planet changes its orbital distance- this planet diameter will not be changed but its rotation period, orbital period, and velocity will be changed and the diameter will be saved-

NOTICE-Mars is the example for this theory because Mars original orbit was between Mercury and Venus and Mars had migrated from its original orbit to its current one- after Migration Mars changed its motion data but the diameter is saved

NOTICE- Planet diameter equation is very useful to analyze the energy reflection in the solar system because the equation shows the changes in data resulting from the energy reflection- for example- the equation produces the planet orbital inclination-but in Saturn equation- the equation produces the value (0.4) while we know Saturn orbital inclination is 2.5 degrees- the value (0.4) is produced because the energy is reflected in Saturn and that caused effect on the data by that the value (2.5) become (1/2.5) = 0.4- that's why I refer to my planet diameter equation in this discussion because the equation can work as a tool of anatomy which can see clearly what's happening for the energy in each planet-

Matter Definition

My planet diameter equation provides a new definition for the matter – this definition is found to answer the question- (How Can Planet Velocity And Motion Be Defined Before This Planet Creation?)

What's The Matter And How Is Created?

The matter and space are created from the same one energy and both move with the motion of this energy from which they are created- but- the matter creates for itself a distinguish form and moves by different velocity from the space motion (notice the gravitational waves prove the space has motion and not static).

This is similar to the sea of water- the space is similar to the sea of water and the matter is similar to a whirlpool (vortex) found on the sea page-

The whirlpool (vortex) is created by the sea water and it's carried by the sea water motion- spite of that- the whirlpool is different in its form from the sea waves – also the whirlpool moves by different velocity from the sea waves motion velocity- this example gives explanation for the matter definition- the matter is similar perfectly to the whirlpool on the sea page- it's created by the sea water motion but it has a distinguish form and different velocity from the sea waves-

Also

The whirlpool dimensions depend on the sea water motion features- for example – we have a whirlpool its diameter is 2 meters, this diameter is formed by the sea water motion features (the water velocity- amount-pressure -……etc) that tells the whirlpool is found later after the sea creation- and the water motion is found before the whirlpool creation- this meaning is a fact for the matter creation and dimensions- the matter dimensions are created based on this matter motion- means- the motion is defined before the matter creation- this is proved strongly by my planet diameter equation- the equation tells (for example) Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s- the whirlpool idea explains how the planet matter data is defined based on its motion- because

The original energy was found in motion at first and the planet matter is created from this moving original energy and the planet matter dimensions are defined by this original energy motion features- after the planet creation, the planet moves with this original energy motion means the planet moves this same motion based on which the planet data is created that's why the planet data is in full harmony with the planet motion features.

Also the idea shows the planet motion reason- as I proved before- no planet moves by the sun gravity- Newton is wrong- because the planet creation and motion are done by one force only otherwise this planet would be broken if two forces have effects on it

Here we see the planet motion reason- the planet moves with the original energy from which this planet is created-     

What's the original energy?

The original energy is one light beam energy- because – the solar planets and their distances are created from one energy and this energy is provided by one light beam –means – the planets are geometrical points found on the same one light beam and the planets move with this light beam motion-

By that the planets are similar to carriages in one train and the light beam is this train engine- the light motion causes all planets motions

NOTICE - this definition of the matter and planet is very important for our discussion because the paper hypothesis no. (1) tells – the solar system is one energy moves in the space and reflected on some points and these points are the planets- the reflection of energy discussion will show how each planet data and motion depend on the other planet motion by the energy reflection effect- shortly- (The Planet Is A Geometrical Point) this idea is the best one can explain the energy reflection data- by that we can understand how the energy motion and reflection can effect on the planet creation and motion- the energy reflection discussion is found in the paper first hypothesis explanation. 

Planet Velocity Definition

Again let's ask ……Why Do We Need To Define The Planet Velocity? ……….

Because – the planet velocity definition refutes the solar system classical description- the definition proves the planet is a geometrical point on the moving energy (and refute the classical definition tells – planet is a solid body created independently from the space and other planets) – in fact the planets are created depending on each other – The 9 planets are as 9 knots or snarls on the same one rope or cable – No planet is created independently– also all of them are created by the same one motion and the same one reason- (imagine you have a ladder or stairs is consisted of 9 units- all units are similar and found for the same reason)- the data proves this fact also

Planet velocity definition provides a powerful proof against Newton theory of the sun gravity-No Planet Motion Depends On Its Mass- Newton is wrong- the velocity Definition Doesn't Refer To Planet Mass- Also planet velocity definition provides a direct strong proof for the energy reflection in the solar system- also – the velocity definition explains the complex machine behind the planet motion which refutes again the naïve idea of Newton about this motion- 

The planet velocity definition shows the general design of the solar system where all planets data is defined based on its velocity- means- the planet velocity is defined at first (after the orbit definition) and all other data is defined based on this velocity as we have seen the planet diameter is defined by the rate (v1/v2) by my planet diameter equation and planet orbital distance is defined by the rate (v1/v2)^2 and planet orbital period is defined by the rate (v1/v2)^3- shortly- the motion is the planet life

SHORTLY

I refute the solar system classical description and I wanted to put a piece of strong proof in the first pages of my paper to show that the refutation doesn't depend on ideas or logical analysis- but the refutation depends on the contradiction between the physics theories and the planets creation & motion data- If the contradiction is proved that tells the description is wrong because the planets data can NOT be wrong

Let's start our discussion

How is planet velocity defined?

Kelper stated, planet orbit defines its velocity, this rule is proved by the equation (v1/v2)^2=(d2/d1) where (d= planet orbital distance) and (v= planet velocity)

BUT

How Is The Planet Velocity Defined? And By What Rules?

Planet velocity is defined by Three Rules let's see them in following

(i) First Rule  

v1v2 = constant= 322  (my 5th equation)

47.4 km/s (Mercury velocity)    x 6.8 km/s (Mercury velocity)             =322

35 km/s (Venus velocity)          x 4.7 km/s (Pluto velocity) x 2            =322

29.8 km/s (The Earth velocity) x 5.4 km/s (Neptune velocity) x 2       =322

24.1 km/s (Mars velocity)         x 13.1 km/s (Jupiter velocity)             =322

(Max error 2%)

The rule (v1v2=322) tells the velocities are defined in pairs and not individually, each planet velocity has its own complementary- the rule tells the velocities are reflected on one another- the reflection of energy and data will be studied in details in planet velocity discussion-

In this rule we interest for the constant (322)- let's ask- why the constant = 322? 

The constant 322 depends on the speed 1.16 million km per second because

(1160000 seconds = 322 hours) - Means

Mercury (47.4 km/s) moves in 6.8 hours a distance = 1.16 million km and

Uranus (6.8 km/s) moves in 47.4 hours a distance   = 1.16 million km

Shortly -we realize that the constant 322 is produced based on the speed 1.16 million km per second- means- the planets velocities are complementary each other because they are defined as functions in this same speed 1.16 million km per second

(This is similar to electron and positron are produced from Gamma ray, The two particles depend on Gamma energy in their masses)

Based On This Data

I concluded there's a light beam its speed 1.16 million km per second and from this light beam energy the solar system is created- and the planets velocities are defined as functions in this speed 1.16 million km per second and that causes the velocities to be complementary each other-

(Please note the speed 1.16 million km per second is proved strongly by other data in my paper specially because the light created the space at first before any planet creation by that all distances in the solar system are created by the energy of this light beam and its speed 1.16 million km per second is registered in the data)

(ii) Second Rule  

v1v2 = 1

The velocity here uses the solar day (86400 seconds) – let's prove that-

Mercury moves per solar day              = 4.095 million km

Venus moves per solar day                 = 3.024 million km

The Earth moves per solar day            = 2.574 million km

The Moon moves per solar day           = 2.4 million km

Mars moves per solar day                   = 2.082 million km

Jupiter moves per solar day                = 1.1318 million km

Saturn moves per solar day                 = 0.838 million km

Uranus moves per solar day                = 0.5875 million km

Neptune moves per solar day              = 0.4665 million km

Pluto moves per solar day                   = 0.406 million km

AND

0.406 (Pluto velocity)               x 2.4 (the moon velocity)             = 1   (error 2.5%)

0.4665 (Neptune velocity)         x 2.082 (Mars velocity)                 = 1 (error 2.5%)

0.5875 (Uranus velocity)          x 3.024 (Venus velocity)/1.772   = 1   (error 2.5%)

0.838 (Saturn velocity)             x 1.1318 (Jupiter velocity)           = 1  (error 5%)

(1.772 = π^1/2)

The second rule tells very similar meaning (v1v2= constant= 1)

The data uses the velocities per solar day for that the constant is changed from 322 into 1 but the rule is the same- (v1v2= Constant)

I want to say- the rule (v1v2 = Constant) tells a clear idea that (The Velocities Are Reflected On Each Other) this conclusion is simple one (A x 1/A= constant=1)  

The rule proves the energy is reflected in the solar system and this reflection has effect on the planets data and for that the planets velocities are defined by this energy  reflection and the velocities are produced complementary each other as a result.

Notice

The second rule causes confusion because the complementary player is changed- for example Pluto is complementary with Venus (in the first rule 35 x 4.7 x 2 = 322) but Pluto is complementary with the Earth moon in the second rule (0.406 x 2.4 = 1) that tells the players are changed which is illogical idea- how can we solve this problem?

The third rule solves it – let's see this rule in following 

(iii) Third Rule  

v1/v2 = 0.8 (based on the planets order)

47.4 km/s (Mercury velocity)    x 0.8   = 38 (35 km/s = Venus velocity error 7.25%)

35 km/s (Venus velocity)          x 0.8   = 27.78 (The moon velocity)

29.8 km/s (The Earth velocity) x 0.8   = 24.1 (Mars velocity)                  (error 1%)

24.1 km/s (Mars velocity)         x 0.8   = 2 x 9.7 (Saturn velocity)

13.1 km/s (Jupiter velocity)       x 0.8   = 2 x 5.4 (Neptune velocity) (error 3%)

6.8 km/s (Uranus velocity)        x 0.8   = 5.4 (Neptune velocity)

5.4 km/s (Neptune velocity)      x 0.8   = 4.3 (Pluto velocity 4.7 the error 7.25%)

Please note

The error 7.25 is found by the rate 1.0725 – that means

47.4 km/s (Mercury velocity) x 0.8 = 38 = 1.0725 x 35 km/s (Venus velocity)

5.4 km/s (Neptune velocity) x 0.8 = 4.3= 4.7 km/s (Pluto velocity) / 1.0725

29.8 km/s (Earth velocity) = 27.78 km/s (The moon velocity) x 1.0725

We know the rate 1.0725 is found by Lorentz length contraction effect- and we know this rate has effect on around 40% of all planets data – that's why we see this rate has effect on the planets velocities definition-

Let's remember the question-

In the rule (v1v2=322) we found that Pluto is complementary with Venus because

4.7 km/s (Pluto velocity) x 35 km/s (Venus velocity) x 2 = 322

But in the rule (v1v2 =1) we found Pluto is complementary with the moon because

0.406 mkm (Pluto Velocity Daily) x 2.4 mkm (The Moon Velocity Daily) = 1

The question asked – if the planets velocities are defined in pairs complementary each other and not individually how can the players be changed? 

The answer tells – the planets velocities are rated by (0.8) based on the planets order means – the moon velocity daily 2.4 mkm = Venus velocity daily 3.024 mkm x 0.8

The rate (0.8) defines all planets velocities depend on each other by order-

Now let's see Planet velocity final definition – because- the definition uses three planets velocities together and not only two – let's put that clearly in following-

(iv) The Planet Velocity Final Definition

 (A)

47.4 km/s (Mercury velocity) x 0.8 = 38 km/s (Venus velocity 35 km/s)

Venus moves per solar day 3.024 million km -But

1/3.024 = 0.3307 million km = Uranus moves per solar day 0.5875 million km /1.77

(note 1.77 = π^1/2) and (38 = 35 x 1.0725)

For that

47.4 km/s (Mercury velocity) x 6.8 km/s (Uranus velocity) = 322

(B)

35 km/s (Venus velocity) x 0.8 = 27.78 km/s (The Moon velocity)

The moon moves per solar day 2.4 million km -But

1/2.4 = 0.406 million km = Pluto moves per solar day 0.406 million km

For that

35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2 = 322

(C)

29.8 km/s (The Earth velocity) x 0.8 = 24.1 km/s (Mars velocity)

Mars moves per solar day 2.082 million km -But

1/2.082 = 0.4665 million km = Neptune moves per solar day 0.4665 million km

For that

29.8 km/s (The Earth velocity) x 5.4 km/s (Neptune velocity) x 2 = 322

(D)

13.1 km/s (Jupiter velocity) x 0.8= 2 x 5.24km/s (Neptune velocity 5.4 km/s error 3%)

Neptune moves per solar day 0.4665 million km - But

1/0.4665 = 2.082 million km = Mars moves per solar day 2.082 million km

For that

13.1 km/s (Jupiter velocity) x 24.1 km/s (Mars velocity) = 322

Shortly

Three planets velocities are defined in each equation- that tells the planet velocity definition is a process more complex than the simple equation (v1v2= constant)

Notice

The 9 planets velocities total is 176 km/s – if we add the Earth moon velocity (29.8 km/s) the total will be 205.8 km/s

The planets velocities are complementary also for this velocity 205.8 km/s – let's see

205.8 km/s = Mercury velocity (47.4 km/s) x Pluto velocity (4.7 km/s) / 1.0725

205.8 km/s = Venus velocity (35 km/s) x Neptune velocity (5.4 km/s) x 1.0725

205.8 km/s = Earth velocity (29.8 km/s) x Uranus velocity (6.8 km/s)

205.8 km/s = Jupiter velocity (13.1 km/s) x Neptune velocity (5.4 km/s) x 3

Mercury velocity = 2 Mars velocity by that Pluto will be used for Mars also

Max error (3%)

Please Note- Saturn is exceptional because

205.8 km/s = 9.7 km/s (Saturn velocity) x 21.4

Where 21.4 hours = 2 x 10.7 hours (Saturn rotation period)

Means- the distance is passed by all planets motions in one hour equal the distance is passed by Saturn in 2 rotation periods (21.4 hours) that tells more analysis is required for Saturn velocity- as we should do later.

(v)

A Question (Why Is The Rate (0.8) Used To Define Each Planet Velocity Based On Its neighbor?)

Kepler stated (Planet orbit defines its velocity) and

My planet orbital distance equation proves each planet orbit is defined based on its neighbor – means- my equation uses only 2 neighbor planets orbital distances

Here also-Planet velocity is defined based on its neighbor – means- this connection enabled Kepler to conclude his statement (Planet orbit defines its velocity)

But Why The Rate (0.8)??

The rate (0.8) is found by the energy reflection effect on Planets velocities definition, for that we need to analyze the energy reflection process deeply to see how the planet velocity is defined by it - The energy reflection process is discussed deeply in the first hypothesis explanation- let's start its discussion in following…

II- The Hypothesis Explanation In Details

Let's remember the paper first hypothesis

The solar system is one energy moves in space and reflects 3 times - the points of the reflection are the planets- as a result- the planets are created depending on each other by this energy reflection.

In following we discuss the energy reflection process in details because the planet velocity definition proves the planets data is reflected on each other and we here try to see as deep as possible how this reflection process is done – the discussion is divided into 5 items which are

Item No. 1 The Energy Reflection Definition

Item No. 2 The Energy Reflection Proves

Item No. 3 The Energy Reflection Result

Item No. 4 The Energy Reflection Objective

Item No. 5 Saturn Creation Depends On Uranus And The Earth

Let's start our discussion in following

Item No. 1 The Energy Reflection Definition

Here we define the reflection of energy – let's do that in following

The solar system is one energy- this energy moves through the space- we can imagine this energy as a light beam or electromagnetic wave- and- the data tells this energy is reflected- let's suppose this energy is reflected from the point (A) to the point (B)- now- these points (A and B) are planets in the solar system-

That tells, the planet is a point in space on which the energy is reflected- it's difficult to accept such strange idea- BUT

The planets data is more strong than our evaluation- we will see that- the planets data is created by the reflection of energy- this fact is proved strongly and doubtless-

For that I analyze the reflection of energy process in details because by this process the planets are created and the energy cycle is completed- for that – we examine the reflection of energy deeply - Now- let's define the energy reflection in following

(i)

The energy is reflected three times in the solar system- from Pluto to Neptune (1st reflection) and from Uranus to Jupiter (2nd reflection) and from Venus to Mars (3rd reflection)

The first and second reflections are unified and work together as one reflection only (later will explain why) - by that – the solar system has 2 basic reflections- the reflection in the outer planets and the reflection from Venus and Mars

(ii)

The reflection of energy is proved strongly because the planets data are changed as a result- let's write these changes in following

What's used as (A) before the reflection will be used as (1/A) after the reflection.

What's used as (a distance) before the reflection will be used as (a period of time) after the reflection

The velocities be squared –the rate (v1/v2) before reflection will be (v1/v2)^2 after the reflection.

The energy direction is changed by the reflection usually

The players of the rates of time are reflected also –

These changes are found in all reflections of energy- that's why the proof is powerful and can't be refuted because the planets data shows the reflection process details

(iii)

Let's see the changes in the planets data generally

(Venus reflection)  

By this reflection of energy Venus orbital circumference 680 million km will be used as Mars orbital period 687 days and it defines Jupiter orbital period (4331 days = 2π x 687 days) and also Saturn orbital period (10747 days = 4π x 687 days x (1/0.8)) where Uranus orbital inclination (0.8 degrees) creates effect on Saturn data

AND

Venus Orbital Period 224.7 days be used as 227.9 million km (Mars orbital distance)

AND

Also the reflection defines the planets diameters by that

Venus circumference 38025 km = Mars Circumference 21346.6 km x 1.772

(π=3.14159= 1.772^2) (more data about this reflection is discussed later)

(The Outer Planets Reflection)  

The reflection is done by Jupiter to Uranus, by that, Jupiter orbital circumference 4900 million km will be used as Uranus orbital period 30589 days where (30589 days = 4900 days x 2π and Neptune orbital period 59800 days = 4900 days x 4π and Pluto orbital period 90560 days = 4900 days x 6π

Notice-  the reflection in the outer planets depends basically on Saturn and it's more complex than this simple data but I put similar data for comparison and later we will discuss the details

  ALSO

The energy reflection at Venus passes above the Earth to Mars- where the Earth moon suffers from the length contraction effect and its motion distance daily is 2.4 mkm = 2.574 mkm (The Earth motion distance daily) / 1.0725

Similar to that 

The energy reflection at Jupiter passes above Saturn to Uranus – Where

Saturn suffers from the length contraction effect because

1433 million km (Saturn orbital distance) x 1.0725 = 2 x 778.6 million km (Jupiter orbital distance) - And- the Earth moon daily displacement is 88000 km and during 10747 days the total be 940 million km=The Earth orbital circumference (where 10747 days = Saturn orbital period)

The previous data shows the reflection energy effect generally- it's important because it compares the data in two different groups and proves the data behaviors are similar- that proves these behaviors are caused by the same one cause- 

But we will analyze each reflection in more details to see how each data is created  

Item No. 2 The Energy Reflection Proves

(a)

Venus reflection of energy is discussed in item no. (4), But - Here We Analyze The Energy Reflections In The Outer Planets- There are two reflections in the outer planets (from Neptune to Saturn) and (from Uranus to Jupiter)- let's explain the energy trajectory

The energy is sent firstly from Pluto to Neptune and then The energy is reflected from Neptune to Saturn–means- it's one reflection is started by Pluto and finished by Saturn- later the energy is reflected one more time from Uranus to Jupiter- but we have to ask- if the energy was in Saturn orbit why this energy is returned again to Uranus? The reason is–Saturn is created as a result for an interaction between Uranus and the Earth- means- Uranus is Saturn Father- and the energy is got by Saturn sent automatically to Uranus and Uranus reflects this energy to Jupiter- we will discuss the process in details later. 

AND    

I put Saturn and Uranus relationship analysis in point No. (5) to prove that Saturn is Created by Uranus effect-

(b)

Also there's story I have to summarize before the data discussion-

Pluto energy is reflected to Neptune – this is the first reflection- means- Neptune should send this same energy to Uranus and then to Saturn and the other planets-BUT – Neptune didn't send the energy to Uranus but kept the energy in Neptune orbit – Uranus could not release the energy from Neptune orbit- for that- Uranus created the interaction with the Earth to create Saturn – Saturn is the warrior created to release the energy from Neptune orbit- by that Saturn released the energy from Neptune orbit and sent it immediately to Uranus and Uranus reflected this energy one more time toward Jupiter- this story is told in details in the paper discussion – but I need its summary here to know that- the reflection between Neptune and Saturn is older than the reflection between Uranus and Jupiter and also this story tells us the final energy is found in Jupiter- means- the energy is sent from Pluto and reaches finally to Jupiter before to send to the inner planets-    

The energy reflection trajectory is very important to explain how the planets data created for that we need to follow this trajectory- let's review is shortly-

The energy is sent from Pluto to Neptune and Saturn forced Neptune to release this energy- by that the first reflection is from (Neptune to Saturn) –the second reflection is from (Uranus to Jupiter) and we understand that Saturn creation depends on Uranus for that the energy is sent (without reflection from Saturn to Uranus)-

The idea is understandable and clear

(c)

The Basic Rule In The Reflection Of Energy

Please pay attention for this rule because this is the major rule in the energy reflection

If the energy is reflected between two planets– that necessitates to have two equal distances are passed by them.

Example

0.4666 mkm (Neptune motion distance per solar day) = Jupiter motion distance in its rotation period

These are 2 equal distances– and this equality is necessary for the energy reflection process because if the two distances are not equal the energy can't be reflected-

This is similar to the radio sending process – the sender and receiver waves should be equivalent otherwise the radio broadcasting can't be got by the receiver-

The two planets should move two equal distances – this is the major requirement to enable the energy reflection process –otherwise the energy can't be reflected – means- the energy can't be sent in the direction defined by the reflection

Shortly- the reflection process defines the energy new direction but the energy is not sending in this direction unless the receiver planet and the sender planet move equal distances- by this method the energy can be sent into the direction defined by the reflection and that enable the energy reflection process to be done - The planets data analysis will explain this rule clearly – Let's start our analysis for the planets data

DATA

DATA NO. 1

1.1318 mkm (Jupiter motion distance per solar day) x 0.8 = 2 x 1.0725 x 0.421 mkm

0.838 mkm (Saturn motion distance per solar day)    x 0.8= 2 x 1.0725 x 0.3129 mkm

0.5875 mkm (Uranus motion distance per solar day)  x 0.8 = 0.4666 mkm

0.4666 mkm (Neptune motion distance per solar day) x 0.8 =  0.3736 mkm

0.406 mkm (Pluto motion distance per solar day)       x 0.8 = 0.3248 mkm

Where

0.4666 mkm = Jupiter Motion Distance In Its Rotation Period

0.3736 mkm = Saturn Motion Distance In Its Rotation Period

0.421 mkm = Uranus Motion Distance In Its Rotation Period

0.3129 mkm = Neptune Motion Distance In Its Rotation Period

DATA NO. 2

(1/0.838 mkm) = 1.17 mkm = 2 x 0.5875 mkm = π x 0.373 mkm

(1/1.1318 mkm) = 0.8835 mkm = 2 x 0.441 mkm

0.4666 mkm = Neptune Motion Distance Per solar day (with 0.441 mkm error 5%)

Notice 9.7 = 5.4 x 1.8 and 13.1 = 6.8 x 1.92 but 1.92 = 1.8 x 1.0725

13.1 km/s = Jupiter velocity                         9.7 km/s = Saturn velocity

6.8 km/s = Uranus velocity                          5.4 km/s = Neptune velocity

DATA NO. 3

Jupiter Motion Distance In Its Rotation Period = 0.4666 mkm = Neptune Motion Distance Per Solar Day – And – Saturn Motion Distance In Its Rotation Period 0.3736 mkm x π = 2 x 0.5875 mkm Uranus motion distance per solar day

DATA NO. 4

Saturn Motion Distance Per Solar Day 0.838 mkm = 2 x 0.421 mkm Uranus motion distance in its rotation period

Saturn Motion Distance Per Solar Day 1.1318 mkm = 1.8 x 2 x 0.3129 mkm Neptune motion distance in its rotation period

(3.1 deg (Jupiter axial tilt) – 1.3 deg (Jupiter orbital inclination)= 1.8 deg)

1.8 degrees = Neptune orbital inclination- and

(Saturn velocity = Neptune velocity x 1.8)

Notice

(0.3129 x2 /0.4666) = (13.1/9.7) = (47.4/35) = (0.421 /0.3129) = (0.5/0.373)= (24/32.4) = (21.4/16.1) 

DATA NO. 5

0.3736 mkm x 3 = 1.1318 mkm

0.3129 mkm x 3 x (2/π)= 0.5875 mkm

DATA NO. 6

0.3736 mkm x π = 1.17 mkm = 1/0.838 mkm= 2 x 0.5875 mkm And

0.4666 mkm x π = 1.46 but (1/1.46 mkm) = 0.685 mkm = 2 x 0.3424 mkm

DATA NO. 7

(a)

0.4666 mkm + 0.3736 mkm + 0.5875 mkm +0.3129 mkm = 1.7406 mkm

1.7406 mkm = (π x 0.5875 mkm)/1.0725               (error 1%)

(b)

9.9 h + 10.7 h + 17.2 h + 16.1 h = 53.9 hours = π x 17.2 hours 

(c)

13.1 km/s + 9.7 km/s + 6.8 km/s +5.4 km/s = 35 km/s = 4 x 8.75 km/s

But 8.75 x (17.2/24) = 6.27 km/s = 6.8 km/s /1.0725

(d)

0.4666 mkm + 0.3736 mkm +0.421 mkm +0.3129 mkm = 1.574 mkm = 0.5 mkm x π

DATA NO. 8

(90560/224.7) x 0.406 = 163.6            = (59800/365.25)

(59800/224.7) x 0.4666 x2 = 248        = (90560/365.25)

Notice (0.816)^2 = 2/3 (error 2%)

DISCUSSION

I have an idea can explain this data, let's write it here 

Preface

The solar system is one energy moves through the space and this energy is reflected on different points in the space – these points are the planets – For example–The energy is reflected from one point in space to another- the first point is called (Neptune) and the second point is called (Saturn) by that the two planets data is defined based on each other by the energy reflection effect.

Also

The same one energy is reflected one more time between two other points- the first point is called (Uranus) and the second point is called (Jupiter)- by that the two planets data is defined based on each other by the energy reflection effect.

Means

The solar system is one energy moves in space and this energy is reflected on different points in the space- in details the energy is reflected between two points (Neptune and Saturn) and then the same energy is reflected one more time between two other points (Uranus and Jupiter) by that these 4 planets data is created based on each other by the reflection–here we analyze the 4 planets data to prove this idea

DATA NO. 1 (ANALYSIS)

1.1318 mkm (Jupiter motion distance per solar day) x 0.8 = 2 x 1.0725 x 0.421 mkm

0.838 mkm (Saturn motion distance per solar day)    x 0.8= 2 x 1.0725 x 0.3129 mkm

0.5875 mkm (Uranus motion distance per solar day)  x 0.8 = 0.4666 mkm

0.4666 mkm (Neptune motion distance per solar day) x 0.8 =  0.3736 mkm

0.406 mkm (Pluto motion distance per solar day)       x 0.8 = 0.3248 mkm Where

0.4666 mkm = Jupiter Motion Distance In Its Rotation Period

0.3736 mkm = Saturn Motion Distance In Its Rotation Period

0.421 mkm = Uranus Motion Distance In Its Rotation Period

0.3129 mkm = Neptune Motion Distance In Its Rotation Period

Why is the rate (1.0725) found in the data? because the wave (the energy) moves by speed of light (300000 km/s) in Saturn orbit- means- the wave velocity was 205.8 km/s through Pluto, Neptune and Uranus orbits and this wave velocity is accelerated in Saturn orbit and its velocity be = speed of light =300000 km/s, for that reason the rate (1.0725) is created because this is (Lorentz length contraction effect rate) and it can be produced only by motion with speed = (99% speed of light =297000 km/s)- shortly- the wave velocity be equal=speed of light = 300000 km/s in Saturn orbit, for that the rate (1.0725) is used for Saturn and Jupiter data-

The previous data can be explained simply by my idea- the rate (0.8) is produced by the energy reflection for that the distances be equal based on this rate- the equal distances are found by the reflection of energy (as we cause a light beam to be reflected on some mirror we will find that the original light beam energy equal the reflected one and by that both have equal distances- that's why the distances are equal) –

In details- the data shows clearly we have 2 different reflections- first reflection from Neptune to Saturn and the second reflection from Uranus to Jupiter- for that the distances are equal- Jupiter motion distance per solar day defines Uranus motion distance in its rotation period and vice versa- Uranus motion distance per solar day defines Jupiter motion distance in its rotation period- and also- Saturn motion distance per solar day defines Neptune motion distance in its rotation period and vice versa- Neptune motion distance per solar day defines Saturn motion distance in its rotation period-

Please note

(a)

The reflection of energy causes the distances to be equal and by that the planets do their motions for these equal distances that explains how planet data is created – I want to say- the used method here is the equal distances be produced by the reflection of energy- for example- Saturn motion distance per solar day (0.838 mkm) defines Neptune motion distance in its rotation period ( 0.3129 mkm) that means the distance 0.3129 mkm is defined before Neptune rotation period be defined- and Neptune created its rotation period as 16.1 hours to move this distance which is defined by the energy reflection- that explains how Neptune rotation period be =16.1 hours

(b)

The designer uses the planets rotation periods as comparable with the solar day- means- the equal distances should be passed by the planets – let’s use example – the equal distances are 0.421 mkm for Jupiter and Uranus– known that Jupiter velocity is greater than Uranus velocity- equal distances can be passed only if (one planet uses the solar day while the other planet uses its rotation period- by this method the planet rotation period is defined)  

Means- planet rotation period is created comparable to the solar day period by the energy reflection process- the idea is simple and understandable (CONT)

Gerges Francis Tawdrous +201022532292

Physics Department-  Physics & Mathematics  Faculty 

Peoples' Friendship university of Russia – Moscow   (2010-2013)

Curriculum Vitae         https://www.academia.edu/s/b88b0ecb7c

E-mail                     mrwaheid@gmail.com, mrwaheid1@yahoo.com

                                gergesgerges@yandex.ru                

ORCID                    https://orcid.org/0000-0002-1041-7147

Facebook                 https://www.facebook.com/gergis.tawadrous

VK                          https://vk.com/id696655587

Tumblr                    https://www.tumblr.com/blog/itsgerges 

Researcherid            https://publons.com/researcher/3510834/gerges-tawadrous/

Livejournal              https://gerges2022.livejournal.com/profile

Pocket                                                     https://getpocket.com/@646g8dZ0p3aX5Ad1bsTr4d9THjA5p6a5b2fX99zd54g221E4bs76eBdtf6aJw5d0?src=navbar

PUBLICATIONS

box  https://app.box.com/s/47fwd0gshir636xt0i3wpso8lvvl8vnv

Academia https://rudn.academia.edu/GergesTawadrous

List of publications  http://vixra.org/author/gerges_francis_tawdrous

Slideshare https://www.slideshare.net/Gergesfrancis

[lindahall]

Ernest T. S. Walton – Scientist of the Day

Ernest Walton, an Irish physicist, was born Oct. 6, 1903.  

read more...

[jcmarchi]

AI inference in edge computing: Benefits and use cases

New Post has been published on https://thedigitalinsider.com/ai-inference-in-edge-computing-benefits-and-use-cases/

AI inference in edge computing: Benefits and use cases

As artificial intelligence (AI) continues to evolve, its deployment has expanded beyond cloud computing into edge devices, bringing transformative advantages to various industries.

AI inference at the edge computing refers to the process of running trained AI models directly on local hardware, such as smartphones, sensors, and IoT devices, rather than relying on remote cloud servers for data processing.

This rapid evolution of the technology landscape with the convergence of artificial intelligence (AI) and edge computing represents a transformative shift in how data is processed and utilized.

This shift is revolutionizing how real-time data is analyzed, offering unprecedented benefits in terms of speed, privacy, and efficiency. This synergy brings AI capabilities closer to the source of data generation, unlocking new potential for real-time decision-making, enhanced security, and efficiency.

This article delves into the benefits of AI inference in edge computing and explores various use cases across different industries.

Fig 1. Benefits of AI Inference in edge computing

Real-time processing

One of the most significant advantages of AI inference at the edge is the ability to process data in real-time. Traditional cloud computing often involves sending data to centralized servers for analysis, which can introduce latency due to the distance and network congestion.

Edge computing mitigates this by processing data locally on edge devices or near the data source. This low-latency processing is crucial for applications requiring immediate responses, such as autonomous vehicles, industrial automation, and healthcare monitoring.

Privacy and security

Transmitting sensitive data to cloud servers for processing poses potential security risks. Edge computing addresses this concern by keeping data close to its source, reducing the need for extensive data transmission over potentially vulnerable networks.

This localized processing enhances data privacy and security, making edge AI particularly valuable in sectors handling sensitive information, such as finance, healthcare, and defense.

Bandwidth efficiency

By processing data locally, edge computing significantly reduces the volume of data that needs to be transmitted to remote cloud servers. This reduction in data transmission requirements has several important implications; it results in reduced network congestion, as the local processing at the edge minimizes the burden on network infrastructure.

Secondly, the diminished need for extensive data transmission leads to lower bandwidth costs for organizations and end-users, as transmitting less data over the Internet or cellular networks can translate into substantial savings.

This benefit is particularly relevant in environments with limited or expensive connectivity, such as remote locations. In essence, edge computing optimizes the utilization of available bandwidth, enhancing the overall efficiency and performance of the system.

Scalability

AI systems at edge can be scaled efficiently by deploying additional edge devices as needed, without overburdening central infrastructure. This decentralized approach also enhances system resilience. In the event of network disruptions or server outages, edge devices can continue to operate and make decisions independently, ensuring uninterrupted service.

Energy efficiency

Edge devices are often designed to be energy-efficient, making them suitable for environments where power consumption is a critical concern. By performing AI inference locally, these devices minimize the need for energy-intensive data transmission to distant servers, contributing to overall energy savings.

Hardware accelerator

AI accelerators, such as NPUs, GPUs, TPUs, and custom ASICs, play a critical role in enabling efficient AI inference at the edge. These specialized processors are designed to handle the intensive computational tasks required by AI models, delivering high performance while optimizing power consumption.

By integrating accelerators into edge devices, it becomes possible to run complex deep learning models in real time with minimal latency, even on resource-constrained hardware. This is one of the best enablers of AI, allowing larger and more powerful models to be deployed at the edge. 

Offline operation

Offline operation through Edge AI in IoT is a critical asset, particularly in scenarios where constant internet connectivity is uncertain. In remote or inaccessible environments where network access is unreliable, Edge AI systems ensure uninterrupted functionality.

This resilience extends to mission-critical applications, enhancing response times and reducing latency, such as in autonomous vehicles or security systems. Edge AI devices can locally store and log data when connectivity is lost, safeguarding data integrity.

Furthermore, they serve as an integral part of redundancy and fail-safe strategies, providing continuity and decision-making capabilities, even when primary systems are compromised. This capability augments the adaptability and dependability of IoT applications across a wide spectrum of operational settings.

Customization and personalization

AI inference at the edge enables a high degree of customization and personalization by processing data locally, allowing systems to deploy customized models for individual user needs and specific environmental contexts in real-time. 

AI systems can quickly respond to changes in user behavior, preferences, or surroundings, offering highly tailored services. The ability to customize AI inference services at the edge without relying on continuous cloud communication ensures faster, more relevant responses, enhancing user satisfaction and overall system efficiency.

The traditional paradigm of centralized computation, wherein these models reside and operate exclusively within data centers, has its limitations, particularly in scenarios where real-time processing, low latency, privacy preservation, and network bandwidth conservation are critical.

This demand for AI models to process data in real time while ensuring privacy and efficiency has given rise to a paradigm shift for AI inference at the edge. AI researchers have developed various optimization techniques to improve the efficiency of AI models, enabling AI model deployment and efficient inference at the edge.

In the next section we will explore some of the use cases of AI inference using edge computing across various industries. 

The rapid advancements in artificial intelligence (AI) have transformed numerous sectors, including healthcare, finance, and manufacturing. AI models, especially deep learning models, have proven highly effective in tasks such as image classification, natural language understanding, and reinforcement learning.

Performing data analysis directly on edge devices is becoming increasingly crucial in scenarios like augmented reality, video conferencing, streaming, gaming, Content Delivery Networks (CDNs), autonomous driving, the Industrial Internet of Things (IoT), intelligent power grids, remote surgery, and security-focused applications, where localized processing is essential.

In this section, we will discuss use cases across different fields for AI inference at the edge, as shown in Fig 2.

Fig 1. Applications of AI Inference at the Edge across different fields

Internet of Things (IoT)

The expansion of the Internet of Things (IoT) is significantly driven by the capabilities of smart sensors. These sensors act as the primary data collectors for IoT, producing large volumes of information.

However, centralizing this data for processing can result in delays and privacy issues. This is where edge AI inference becomes crucial. By integrating intelligence directly into the smart sensors, AI models facilitate immediate analysis and decision-making right at the source.

This localized processing reduces latency and the necessity to send large data quantities to central servers. As a result, smart sensors evolve from mere data collectors to real-time analysts, becoming essential in the progress of IoT.

Industrial applications

In industrial sectors, especially manufacturing, predictive maintenance plays a crucial role in identifying potential faults and anomalies in processes before they occur. Traditionally, heartbeat signals, which reflect the health of sensors and machinery, are collected and sent to centralized cloud systems for AI analysis to predict faults.

However, the current trend is shifting. By leveraging AI models for data processing at the edge, we can enhance the system’s performance and efficiency, delivering timely insights at a significantly reduced cost.

Mobile / Augmented reality (AR)

In the field of mobile and augmented reality, the processing requirements are significant due to the need to handle large volumes of data from various sources such as cameras, Lidar, and multiple video and audio inputs.

To deliver a seamless augmented reality experience, this data must be processed within a stringent latency range of about 15 to 20 milliseconds. AI models are effectively utilized through specialized processors and cutting-edge communication technologies.

The integration of edge AI with mobile and augmented reality results in a practical combination that enhances real-time analysis and operational autonomy at the edge. This integration not only reduces latency but also aids in energy efficiency, which is crucial for these rapidly evolving technologies.

Security systems

In security systems, the combination of video cameras with edge AI-powered video analytics is transforming threat detection. Traditionally, video data from multiple cameras is transmitted to cloud servers for AI analysis, which can introduce delays.

With AI processing at the edge, video analytics can be conducted directly within the cameras. This allows for immediate threat detection, and depending on the analysis’s urgency, the camera can quickly notify authorities, reducing the chance of threats going unnoticed. This move to AI-integrated security cameras improves response efficiency and strengthens security at crucial locations such as airports.

Robotic surgery

In critical medical situations, remote robotic surgery involves conducting surgical procedures with the guidance of a surgeon from a remote location. AI-driven models enhance these robotic systems, allowing them to perform precise surgical tasks while maintaining continuous communication and direction from a distant medical professional.

This capability is crucial in the healthcare sector, where real-time processing and responsiveness are essential for smooth operations under high-stress conditions. For such applications, it is vital to deploy AI inference at the edge to ensure safety, reliability, and fail-safe operation in critical scenarios.

Computer vision meets robotics: the future of surgery

Max Allan, Senior Computer Vision Engineer at Intuitive, describes groundbreaking robotics innovations in surgery and the healthcare industry.

Autonomous driving

Autonomous driving is a pinnacle of technological progress, with AI inference at edge taking a central role. AI accelerators in the car empower vehicles with onboard models for rapid real-time decision-making.

This immediate analysis enables autonomous vehicles to navigate complex scenarios with minimal latency, bolstering safety and operational efficiency. By integrating AI at the edge, self-driving cars adapt to dynamic environments, ensuring safer roads and reduced reliance on external networks.

This fusion represents a transformative shift, where vehicles become intelligent entities capable of swift, localized decision-making, ushering in a new era of transportation innovation.

The integration of AI inference in edge computing is revolutionizing various industries by facilitating real-time decision-making, enhancing security, and optimizing bandwidth usage, scalability, and energy efficiency.

As AI technology progresses, its applications will broaden, fostering innovation and increasing efficiency across diverse sectors. The advantages of edge AI are evident in fields such as the Internet of Things (IoT), healthcare, autonomous vehicles, and mobile/augmented reality devices.

These technologies benefit from the localized processing that edge AI enables, promising a future where intelligent, on-the-spot analytics become the standard. Despite the promising advancements, there are ongoing challenges related to the accuracy and performance of AI models deployed at the edge.

Ensuring that these systems operate reliably and effectively remains a critical area of research and development. The widespread adoption of edge AI across different fields highlights the urgent need to address these challenges, making robust and efficient edge AI deployment a new norm.

As research continues and technology evolves, the potential for edge AI to drive significant improvements in various domains will only grow, shaping the future of intelligent, decentralized computing.

Want to know more about how generative companies are using AI?

Get your copy of our Gen AI report below!

Generative AI 2024 report

Unlock the secrets to faster workflows with the Generative AI 2024 Report. Learn how 56.4% of companies leverage AI to boost efficiency and stay competitive.

[slack-wise]

Control Room of the JINR’s legendary accelerator Synchrophasotron (1957-2002) in Dubna, Russia.

[digitalcreationsllc]

AMD Instinct MI300 AI accelerator takes aim at Nvidia GPUs | TechTarget

Both Advanced Micro Devices and Google released AI accelerators today: AMD the Instinct MI300 and Google TPU v5e. Both are data center-grade processors that speed AI tasks, such as training large language models. AMD is playing catch-up to Nvidia, which has parleyed its gaming tech expertise into an AI processing superpower. AI typically runs on chips adjacent to CPUs; AMD’s accelerator is a…

[sophiasrant]

hc that no one on the JL (or any of the teams) will let bats do the heavy lifting, ever

Like one day they need to carry an unconscious Flash after a battle and someone else (who has a broken arm) is like “who is well enough that they can carry him” and Batman, ceo of ignoring his injuries™️, is like “I got this” but his mouth starts leaking blood while he’s carrying flash. Superman (who was holding up a building) x-rays him & is like “YOU HAVE THREE BROKEN RIBS AND INTERNAL BLEEDING. WHY ARE YOU CARRYING FLASH?” “…I am well enough to carry flash”

anyway this applies to all bats. Someone asks if someone else can volunteer to help them lift something and, no matter what, Kon puts his hand over Tim’s mouth bc of the broken leg incident™️. Tim will never even be allowed a chance to make a case or attempt to answer the call.

Someone asks if Robin can help to carry something and Jon immediately replies “no he can’t. I’ll do it tho.” bc Damian once tried to conduct cleanup (lifting pieces of broken buildings and concrete) post alien-invasion with a stab wound (it was multiple stab wounds but only Jon figured that out)

Someone asks nightwing if he can carry stuff to the car and all of a sudden you have eight people shouting “NO” bc he once offered to carry someone’s old 60 pound box TV to storage while he had a gunshot wound. They only learned about the gunshot wound after he fainted & the tv fell on top of him.

Jason leaves before anyone can ask him to help with anything

Edit:

Steph and Cass fight over who carries the thing for the other person, but usually neither of them volunteer. They're gone the second the battle is over. Babs never has to carry shit even if it's a loaf of bread because she goes "wow, really? have the wheelchair bound girl carry shit for you, sure" so the person stammers and she gets away with it every single time.

Duke is allowed to carry things. (Other teams have yet to find out about his injuries.) In fact, they compliment him on being responsible enough to not over-exert himself. He smiles back. (He's trying not to laugh.)

[chiragreportprime]

Electron Beam Linear Accelerators Market Size, Type, segmentation, growth and forecast 2023-2030

Electron Beam Linear Accelerators Market

The Electron Beam Linear Accelerators Market is expected to grow from USD 1.30 Billion in 2022 to USD 2.40 Billion by 2030, at a CAGR of 7.30% during the forecast period.

Get the Sample Report: https://www.reportprime.com/enquiry/sample-report/10080

Electron Beam Linear Accelerators Market Size

The Electron Beam Linear Accelerators market research report analyses the market segment based on type, application, region, and market players such as Varian Medical Systems, IntraOp Medical, and S.I.T. Sordina IORT Technologies. Electron Beam Linear Accelerators are medical devices used to destroy cancerous cells with high-energy X-rays. The two types of machines are low-energy and high-energy. The majority of these devices are used in hospitals, clinics, and academic/research centers. The report also evaluates the regulatory and legal factors specific to market conditions for the industry. This includes the approval process for medical devices, government policies, and guidelines for medical device manufacturers. The regional market analysis includes North America, Asia Pacific, Middle East, Africa, Australia, and Europe. The report covers market trends, growth opportunities, and challenges in the electron beam linear accelerators market.

Electron Beam Linear Accelerators Market Key Player

Varian Medical Systems, Inc.

IntraOp Medical, Inc.

S.I.T. Sordina IORT Technologies S.p.A.

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Electron Beam Linear Accelerators Market Segment Analysis

The Electron Beam Linear Accelerators (EBLAs) target market primarily includes research institutions, hospitals, and industrial companies. The need for high-quality radiation therapy and the rising incidence of cancer are major factors driving the revenue growth of the EBLA market. EBLAs are crucial in the field of radiation therapy, as they emit high-energy electron beams that can selectively destroy cancer cells with minimal damage to healthy cells.

Moreover, the increasing demand for non-invasive treatments is also propelling the growth of the EBLA market. EBLAs are widely used in various cancer treatments, including stereotactic radiosurgery, and are becoming increasingly popular due to their precision in delivering radiation to the target area. The increasing number of cancer patients worldwide is creating a significant demand for these devices.

The latest trend in the EBLA market is the advancements in treatment planning software. The use of artificial intelligence and machine learning algorithms has significantly enhanced the accuracy of treatment planning, thereby improving treatment outcomes. Additionally, the integration of imaging technologies, such as MRI and CT scans, with EBLAs is a burgeoning trend in the market.

Despite the market's growth, the major challenge faced by the EBLA market is the high cost of these devices. Due to their complex design and sophisticated technology, EBLAs are expensive and can be unaffordable for smaller healthcare institutions. Moreover, the availability of alternative cancer treatment methods, such as chemotherapy and proton therapy, is also limiting the market's growth.

The report's main findings suggest that the EBLA market is expected to exhibit robust growth in the coming years due to the rising incidence of cancer and the increasing demand for non-invasive treatments. The increasing investments in research and development activities by key market players will further augment the market growth. The report recommends that market players should focus on the development of cost-effective EBLA devices to cater to the demand from smaller healthcare institutions and emerging economies. Additionally, the collaboration between EBLA manufacturers and imaging technology companies can further enhance the accuracy and efficiency of cancer treatment.

This report covers impact on COVID-19 and Russia-Ukraine wars in detail.

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Market Segmentation (by Application):

Hospital

Clinics

Academic & Research Centers

Information is sourced from www.reportprime.com

[demandblue]

Here is an interesting piece that talks about how seasoned Salesforce Consultancy Partners will propel your digital transformation efforts. Allow DemandBlue to accelerate your digital transformation journey.

[unbothered]

Haters and also lawyers warned us to stop selling spontaneously combusting dumpster fires. We will not stand down.

[futureelectronic1071]

NXP - MCX Announcement

https://www.futureelectronics.com/m/nxp. The NXP MCX N Series are high-performance, low-power microcontrollers with smart peripherals and accelerators providing the ultimate balance of performance and power consumption. https://youtu.be/-bIDXCx_V_0

[itsgerges]

Best Regards The Gravitational Waves Reflection In The Solar System (Analytical Study) (Revised) https://app.box.com/s/yx3tx5lsvwy4025p4j3mwfeliwhtka07 or https://app.box.com/s/9wywdejkxqh7x4g791ntf3p3p01kkm8f or https://www.tumblr.com/itsgerges/759715471336570880/the-gravitational-waves-reflection-in-the-solar?source=share or https://gerges2022.livejournal.com/236389.html

Abstract Paper question How Is Planet Velocity Defined? Paper Hypothesis No. (1) The solar system is one energy moves in space and reflects 3 times - the points of the reflection are the planets- as a result- the planets are created depending one each other by this energy reflection. The Explanation Of The Hypothesis No. (1) I- Preface Why do we need to define Planet velocity here? Because Planet velocity definition disproves The Solar System Classical Description. II- The hypothesis Explanation in details 1 The Energy Reflection Definition 2 The Energy Reflection Proves 3 The Energy Reflection Result 4 The Energy Reflection Objective 5 Saturn Creation Depends On Uranus And The Earth Let's explain the previous items in following I- Preface

Why do we need to define Planet velocity before any other discussion in this paper? Because Planet velocity disproves The Solar System Classical Description. The classical description refutation is a great event because the theories depend on it and – that means- more than 12 theories are wrong in the modern physics book Shortly- more than the half of the modern physics book provides imaginary ideas and wrong theories because the solar system classical description is wrong. Let's see examples to explain that clearly Example No. (1) No Planet Moves By The Sun Gravity- Newton is wrong- I have proved this fact since long time- and I explained that- Planet moves by the force caused its creation- means- the planet creation and motion is done by one force only otherwise this planet would be broken- simply – if two forces have effects on the same planet it would be broken- means- the planet moves with its creation force- again No planet moves by the sun gravity- The example shows a gap between the physics book and the solar system facts – Newton imaginary idea is believed by everyone since 400 years! But- the example doesn't show how great the gap is- in fact the shock is coming from The Sun Nuclear Fusion Theory- let's see the next example Example No. (2) The Sun Is Created By The Planets Motions Energies–The Sun Is A Phenomenon Here we can see the gap clearly The solar planets were found in their orbits before the sun creation and the planets were revolving around a point in space (this point has no light) The planet motion produces energy (1/2 mv^2) and this energy is stored in the space in waves form- the planets were revolving around this point for long periods till the stored motion energy in the space be massive energy-

From this massive motion energy the light beam is created (the sun rays is created) The sun rays is created from this energy- that tells why the sun corona temperature is 5 millions Kelvin but the sun surface is 5800 Kelvin- simply- because The Sun Is Not Doing Nuclear Fusion To Produce Its Rays, the rays is created by the planets motions energies– The Sun Rays Show The Great Gap Between The Physics Book And The Facts The wrong description is the reason behind the imaginary ideas and wrong theories in the physics book- one more example- the scientists won Nobel prize in physics for their discovery for the gravitational waves- these scientists told us – the gravitational waves are produced by the sun gravitational field which is NOT FACT– the gravitational waves are produced by Planet motion energy- where the planet moves and produces energy (1/2 mv^2) and the planet can't store its motion energy inside its body otherwise its temperature would be raised for that the planet motion energy is stored in the space In Waves Form- the scientists discovered these waves and they called them gravitational waves!! Let's provide one more example

Example No. (3) The big bang theory tells us the planet creation is done by random process- in details- the theory tells–some planets are suffered from collisions and these collisions changed their diameters and masses- by that we can't know their original diameters and masses by that the current values of these diameters and masses are found by chance and without any geometrical reasons and should be considered random data- For example- Jupiter diameter now is 142984 km but what's this diameter value in the first creation of Jupiter? The big bang theory and all random creation ideas are wrong and nonsense- shortly- I have my planet diameter equation which proves Planet diameter is created based on a geometrical rule- means- for example- Jupiter diameter is created at first as 142984 km and never changed since its creation- if any planet had collision and changed its diameter this collision results would be recorded in this planet motion features- as happened with Mars- Mars original orbit was between Mercury and Venus and Mars had migrated to its current orbit- and Mars had collided with Venus and The Earth in its migration motion- but Mars diameter equation refers frequently to its original orbit features and data- that tells the planet motion provides a record for its history because all data is required for planet motion- by that – all data depends on geometrical rules and no random process is used in it – let's introduce my planet diameter equation in following…. Planet Diameter Equation (v1/v2)= (s/r)= I v = Planet Velocity and r = Planet Diameter s= Planet Rotation Periods Number In Its Orbital Period I= Planet Orbital Inclination (example, 1.8 degrees be produced as a rate 1.8) v2, s, r and I are belonged to one planet and v1 is belonged to another planet The planet (v1) is defined by test the minimum error

Earth Equation uses Neptune velocity

Mars Equation uses Pluto velocity

Jupiter Equation uses the Earth moon velocity

Saturn Equation uses Mars velocity

Uranus Equation uses Neptune velocity (As Earth)

Neptune Equation uses Saturn velocity

Pluto Equation uses the Earth moon velocity (As Jupiter) (The Equation works from The Earth To Pluto) (the discussion explains the reason) Example Neptune Equation (89143 /49528) = 9.7/ 5.4 =1.8 89143 = Neptune rotation periods number in Neptune orbital period 49528 km = Neptune diameter 9.7 km/s = Saturn velocity 5.4 km/s = Neptune velocity 59800 days = Neptune orbital period (and Neptune rotation period =16.1 hours) 1.8 degrees = Neptune Orbital Inclination The equation tells planet diameter is created based on its velocity –means- Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s The Equation Concept Planet diameter should be a function in its orbital distance –otherwise- this planet would be broken by its motion- the fact is that – The necessary requirement for planet safe motion is to create a function between this planet diameter and its orbital distance BUT- the designer can't create a function has only 2 variables (Planet diameter and its orbital distance)- the function in this case can't be useful because – If this planet changes its orbital distance its diameter would be broken also because the diameter is a direct function in the orbital distance without any other variables -As A Result The designer created the planet diameter as a function in this planet rotation period and the planet rotation period is created as a function in this planet velocity and the planet velocity is created as a function in this planet orbital distance- by that- the function between the planet diameter and its orbital distance is created but the function contains also more variables (rotation period, orbital period and velocity)- by that- if the planet changes its orbital distance- this planet diameter will not be changed but its rotation period, orbital period, and velocity will be changed and the diameter will be saved- NOTICE-Mars is the example for this theory because Mars original orbit was between Mercury and Venus and Mars had migrated from its original orbit to its current one- after Migration Mars changed its motion data but the diameter is saved

NOTICE- Planet diameter equation is very useful to analyze the energy reflection in the solar system because the equation shows the changes in data resulting from the energy reflection- for example- the equation produces the planet orbital inclination-but in Saturn equation- the equation produces the value (0.4) while we know Saturn orbital inclination is 2.5 degrees- the value (0.4) is produced because the energy is reflected in Saturn and that caused effect on the data by that the value (2.5) become (1/2.5) = 0.4- that's why I refer to my planet diameter equation in this discussion because the equation can work as a tool of anatomy which can see clearly what's happening for the energy in each planet- Matter Definition My planet diameter equation provides a new definition for the matter – this definition is found to answer the question- (How Can Planet Velocity And Motion Be Defined Before This Planet Creation?)

What's The Matter And How Is Created? The matter and space are created from the same one energy and both move with the motion of this energy from which they are created- but- the matter creates for itself a distinguish form and moves by different velocity from the space motion (notice the gravitational waves prove the space has motion and not static). This is similar to the sea of water- the space is similar to the sea of water and the matter is similar to a whirlpool (vortex) found on the sea page- The whirlpool (vortex) is created by the sea water and it's carried by the sea water motion- spite of that- the whirlpool is different in its form from the sea waves – also the whirlpool moves by different velocity from the sea waves motion velocity- this example gives explanation for the matter definition- the matter is similar perfectly to the whirlpool on the sea page- it's created by the sea water motion but it has a distinguish form and different velocity from the sea waves- Also The whirlpool dimensions depend on the sea water motion features- for example – we have a whirlpool its diameter is 2 meters, this diameter is formed by the sea water motion features (the water velocity- amount-pressure -……etc) that tells the whirlpool is found later after the sea creation- and the water motion is found before the whirlpool creation- this meaning is a fact for the matter creation and dimensions- the matter dimensions are created based on this matter motion- means- the motion is defined before the matter creation- this is proved strongly by my planet diameter equation- the equation tells (for example) Neptune diameter is 49528 km because Neptune velocity is 5.4 km/s- the whirlpool idea explains how the planet matter data is defined based on its motion- because The original energy was found in motion at first and the planet matter is created from this moving original energy and the planet matter dimensions are defined by this original energy motion features- after the planet creation, the planet moves with this original energy motion means the planet moves this same motion based on which the planet data is created that's why the planet data is in full harmony with the planet motion features. Also the idea shows the planet motion reason- as I proved before- no planet moves by the sun gravity- Newton is wrong- because the planet creation and motion are done by one force only otherwise this planet would be broken if two forces have effects on it Here we see the planet motion reason- the planet moves with the original energy from which this planet is created- What's the original energy? The original energy is one light beam energy- because – the solar planets and their distances are created from one energy and this energy is provided by one light beam –means – the planets are geometrical points found on the same one light beam and the planets move with this light beam motion- By that the planets are similar to carriages in one train and the light beam is this train engine- the light motion causes all planets motions NOTICE - this definition of the matter and planet is very important for our discussion because the paper hypothesis no. (1) tells – the solar system is one energy moves in the space and reflected on some points and these points are the planets- the reflection of energy discussion will show how each planet data and motion depend on the other planet motion by the energy reflection effect- shortly- (The Planet Is A Geometrical Point) this idea is the best one can explain the energy reflection data- by that we can understand how the energy motion and reflection can effect on the planet creation and motion- the energy reflection discussion is found in the paper first hypothesis explanation.

Planet Velocity Definition

Again let's ask ……Why Do We Need To Define The Planet Velocity? ………. Because – the planet velocity definition refutes the solar system classical description- the definition proves the planet is a geometrical point on the moving energy (and refute the classical definition tells – planet is a solid body created independently from the space and other planets) – in fact the planets are created depending on each other – The 9 planets are as 9 knots or snarls on the same one rope or cable – No planet is created independently– also all of them are created by the same one motion and the same one reason- (imagine you have a ladder or stairs is consisted of 9 units- all units are similar and found for the same reason)- the data proves this fact also Planet velocity definition provides a powerful proof against Newton theory of the sun gravity-No Planet Motion Depends On Its Mass- Newton is wrong- the velocity Definition Doesn't Refer To Planet Mass- Also planet velocity definition provides a direct strong proof for the energy reflection in the solar system- also – the velocity definition explains the complex machine behind the planet motion which refutes again the naïve idea of Newton about this motion- The planet velocity definition shows the general design of the solar system where all planets data is defined based on its velocity- means- the planet velocity is defined at first (after the orbit definition) and all other data is defined based on this velocity as we have seen the planet diameter is defined by the rate (v1/v2) by my planet diameter equation and planet orbital distance is defined by the rate (v1/v2)^2 and planet orbital period is defined by the rate (v1/v2)^3- shortly- the motion is the planet life

SHORTLY I refute the solar system classical description and I wanted to put a piece of strong proof in the first pages of my paper to show that the refutation doesn't depend on ideas or logical analysis- but the refutation depends on the contradiction between the physics theories and the planets creation & motion data- If the contradiction is proved that tells the description is wrong because the planets data can NOT be wrong Let's start our discussion How is planet velocity defined? Kelper stated, planet orbit defines its velocity, this rule is proved by the equation (v1/v2)^2=(d2/d1) where (d= planet orbital distance) and (v= planet velocity) BUT How Is The Planet Velocity Defined? And By What Rules? Planet velocity is defined by Three Rules let's see them in following (i) First Rule v1v2 = constant= 322 (my 5th equation)

47.4 km/s (Mercury velocity) x 6.8 km/s (Mercury velocity) =322 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2 =322 29.8 km/s (The Earth velocity) x 5.4 km/s (Neptune velocity) x 2 =322 24.1 km/s (Mars velocity) x 13.1 km/s (Jupiter velocity) =322 (Max error 2%) The rule (v1v2=322) tells the velocities are defined in pairs and not individually, each planet velocity has its own complementary- the rule tells the velocities are reflected on one another- the reflection of energy and data will be studied in details in planet velocity discussion- In this rule we interest for the constant (322)- let's ask- why the constant = 322?

The constant 322 depends on the speed 1.16 million km per second because (1160000 seconds = 322 hours) - Means Mercury (47.4 km/s) moves in 6.8 hours a distance = 1.16 million km and Uranus (6.8 km/s) moves in 47.4 hours a distance = 1.16 million km Shortly -we realize that the constant 322 is produced based on the speed 1.16 million km per second- means- the planets velocities are complementary each other because they are defined as functions in this same speed 1.16 million km per second (This is similar to electron and positron are produced from Gamma ray, The two particles depend on Gamma energy in their masses) Based On This Data I concluded there's a light beam its speed 1.16 million km per second and from this light beam energy the solar system is created- and the planets velocities are defined as functions in this speed 1.16 million km per second and that causes the velocities to be complementary each other- (Please note the speed 1.16 million km per second is proved strongly by other data in my paper specially because the light created the space at first before any planet creation by that all distances in the solar system are created by the energy of this light beam and its speed 1.16 million km per second is registered in the data)

(ii) Second Rule v1v2 = 1 The velocity here uses the solar day (86400 seconds) – let's prove that-

Mercury moves per solar day = 4.095 million km Venus moves per solar day = 3.024 million km The Earth moves per solar day = 2.574 million km The Moon moves per solar day = 2.4 million km Mars moves per solar day = 2.082 million km Jupiter moves per solar day = 1.1318 million km Saturn moves per solar day = 0.838 million km Uranus moves per solar day = 0.5875 million km Neptune moves per solar day = 0.4665 million km Pluto moves per solar day = 0.406 million km AND 0.406 (Pluto velocity) x 2.4 (the moon velocity) = 1 (error 2.5%) 0.4665 (Neptune velocity) x 2.082 (Mars velocity) = 1 (error 2.5%) 0.5875 (Uranus velocity) x 3.024 (Venus velocity)/1.772 = 1 (error 2.5%) 0.838 (Saturn velocity) x 1.1318 (Jupiter velocity) = 1 (error 5%) (1.772 = π^1/2) The second rule tells very similar meaning (v1v2= constant= 1) The data uses the velocities per solar day for that the constant is changed from 322 into 1 but the rule is the same- (v1v2= Constant) I want to say- the rule (v1v2 = Constant) tells a clear idea that (The Velocities Are Reflected On Each Other) this conclusion is simple one (A x 1/A= constant=1) The rule proves the energy is reflected in the solar system and this reflection has effect on the planets data and for that the planets velocities are defined by this energy reflection and the velocities are produced complementary each other as a result. Notice The second rule causes confusion because the complementary player is changed- for example Pluto is complementary with Venus (in the first rule 35 x 4.7 x 2 = 322) but Pluto is complementary with the Earth moon in the second rule (0.406 x 2.4 = 1) that tells the players are changed which is illogical idea- how can we solve this problem? The third rule solves it – let's see this rule in following (iii) Third Rule v1/v2 = 0.8 (based on the planets order) 47.4 km/s (Mercury velocity) x 0.8 = 38 (35 km/s = Venus velocity error 7.25%) 35 km/s (Venus velocity) x 0.8 = 27.78 (The moon velocity) 29.8 km/s (The Earth velocity) x 0.8 = 24.1 (Mars velocity) (error 1%) 24.1 km/s (Mars velocity) x 0.8 = 2 x 9.7 (Saturn velocity) 13.1 km/s (Jupiter velocity) x 0.8 = 2 x 5.4 (Neptune velocity) (error 3%) 6.8 km/s (Uranus velocity) x 0.8 = 5.4 (Neptune velocity) 5.4 km/s (Neptune velocity) x 0.8 = 4.3 (Pluto velocity 4.7 the error 7.25%) Please note The error 7.25 is found by the rate 1.0725 – that means 47.4 km/s (Mercury velocity) x 0.8 = 38 = 1.0725 x 35 km/s (Venus velocity) 5.4 km/s (Neptune velocity) x 0.8 = 4.3= 4.7 km/s (Pluto velocity) / 1.0725 29.8 km/s (Earth velocity) = 27.78 km/s (The moon velocity) x 1.0725 We know the rate 1.0725 is found by Lorentz length contraction effect- and we know this rate has effect on around 40% of all planets data – that's why we see this rate has effect on the planets velocities definition-

Let's remember the question- In the rule (v1v2=322) we found that Pluto is complementary with Venus because 4.7 km/s (Pluto velocity) x 35 km/s (Venus velocity) x 2 = 322 But in the rule (v1v2 =1) we found Pluto is complementary with the moon because 0.406 mkm (Pluto Velocity Daily) x 2.4 mkm (The Moon Velocity Daily) = 1 The question asked – if the planets velocities are defined in pairs complementary each other and not individually how can the players be changed? The answer tells – the planets velocities are rated by (0.8) based on the planets order means – the moon velocity daily 2.4 mkm = Venus velocity daily 3.024 mkm x 0.8 The rate (0.8) defines all planets velocities depend on each other by order-

Now let's see Planet velocity final definition – because- the definition uses three planets velocities together and not only two – let's put that clearly in following- (iv) The Planet Velocity Final Definition (A) 47.4 km/s (Mercury velocity) x 0.8 = 38 km/s (Venus velocity 35 km/s) Venus moves per solar day 3.024 million km -But 1/3.024 = 0.3307 million km = Uranus moves per solar day 0.5875 million km /1.77 (note 1.77 = π^1/2) and (38 = 35 x 1.0725) For that 47.4 km/s (Mercury velocity) x 6.8 km/s (Uranus velocity) = 322 (B) 35 km/s (Venus velocity) x 0.8 = 27.78 km/s (The Moon velocity) The moon moves per solar day 2.4 million km -But 1/2.4 = 0.406 million km = Pluto moves per solar day 0.406 million km For that 35 km/s (Venus velocity) x 4.7 km/s (Pluto velocity) x 2 = 322 (C) 29.8 km/s (The Earth velocity) x 0.8 = 24.1 km/s (Mars velocity) Mars moves per solar day 2.082 million km -But 1/2.082 = 0.4665 million km = Neptune moves per solar day 0.4665 million km For that 29.8 km/s (The Earth velocity) x 5.4 km/s (Neptune velocity) x 2 = 322 (D) 13.1 km/s (Jupiter velocity) x 0.8= 2 x 5.24km/s (Neptune velocity 5.4 km/s error 3%) Neptune moves per solar day 0.4665 million km - But 1/0.4665 = 2.082 million km = Mars moves per solar day 2.082 million km For that 13.1 km/s (Jupiter velocity) x 24.1 km/s (Mars velocity) = 322 Shortly Three planets velocities are defined in each equation- that tells the planet velocity definition is a process more complex than the simple equation (v1v2= constant) Notice The 9 planets velocities total is 176 km/s – if we add the Earth moon velocity (29.8 km/s) the total will be 205.8 km/s The planets velocities are complementary also for this velocity 205.8 km/s – let's see 205.8 km/s = Mercury velocity (47.4 km/s) x Pluto velocity (4.7 km/s) / 1.0725 205.8 km/s = Venus velocity (35 km/s) x Neptune velocity (5.4 km/s) x 1.0725 205.8 km/s = Earth velocity (29.8 km/s) x Uranus velocity (6.8 km/s) 205.8 km/s = Jupiter velocity (13.1 km/s) x Neptune velocity (5.4 km/s) x 3 Mercury velocity = 2 Mars velocity by that Pluto will be used for Mars also Max error (3%) Please Note- Saturn is exceptional because 205.8 km/s = 9.7 km/s (Saturn velocity) x 21.4 Where 21.4 hours = 2 x 10.7 hours (Saturn rotation period) Means- the distance is passed by all planets motions in one hour equal the distance is passed by Saturn in 2 rotation periods (21.4 hours) that tells more analysis is required for Saturn velocity- as we should do later. (v) A Question (Why Is The Rate (0.8) Used To Define Each Planet Velocity Based On Its neighbor?) Kepler stated (Planet orbit defines its velocity) and My planet orbital distance equation proves each planet orbit is defined based on its neighbor – means- my equation uses only 2 neighbor planets orbital distances Here also-Planet velocity is defined based on its neighbor – means- this connection enabled Kepler to conclude his statement (Planet orbit defines its velocity)

But Why The Rate (0.8)?? The rate (0.8) is found by the energy reflection effect on Planets velocities definition, for that we need to analyze the energy reflection process deeply to see how the planet velocity is defined by it - The energy reflection process is discussed deeply in the first hypothesis explanation- let's start its discussion in following…

II- The Hypothesis Explanation In Details Let's remember the paper first hypothesis The solar system is one energy moves in space and reflects 3 times - the points of the reflection are the planets- as a result- the planets are created depending on each other by this energy reflection.

In following we discuss the energy reflection process in details because the planet velocity definition proves the planets data is reflected on each other and we here try to see as deep as possible how this reflection process is done – the discussion is divided into 5 items which are Item No. 1 The Energy Reflection Definition Item No. 2 The Energy Reflection Proves Item No. 3 The Energy Reflection Result Item No. 4 The Energy Reflection Objective Item No. 5 Saturn Creation Depends On Uranus And The Earth Let's start our discussion in following Item No. 1 The Energy Reflection Definition Here we define the reflection of energy – let's do that in following The solar system is one energy- this energy moves through the space- we can imagine this energy as a light beam or electromagnetic wave- and- the data tells this energy is reflected- let's suppose this energy is reflected from the point (A) to the point (B)- now- these points (A and B) are planets in the solar system- That tells, the planet is a point in space on which the energy is reflected- it's difficult to accept such strange idea- BUT The planets data is more strong than our evaluation- we will see that- the planets data is created by the reflection of energy- this fact is proved strongly and doubtless- For that I analyze the reflection of energy process in details because by this process the planets are created and the energy cycle is completed- for that – we examine the reflection of energy deeply - Now- let's define the energy reflection in following (i) The energy is reflected three times in the solar system- from Pluto to Neptune (1st reflection) and from Uranus to Jupiter (2nd reflection) and from Venus to Mars (3rd reflection) The first and second reflections are unified and work together as one reflection only (later will explain why) - by that – the solar system has 2 basic reflections- the reflection in the outer planets and the reflection from Venus and Mars (ii) The reflection of energy is proved strongly because the planets data are changed as a result- let's write these changes in following v What's used as (A) before the reflection will be used as (1/A) after the reflection. v What's used as (a distance) before the reflection will be used as (a period of time) after the reflection v The velocities be squared –the rate (v1/v2) before reflection will be (v1/v2)^2 after the reflection. v The energy direction is changed by the reflection usually v The players of the rates of time are reflected also – These changes are found in all reflections of energy- that's why the proof is powerful and can't be refuted because the planets data shows the reflection process details (iii) Let's see the changes in the planets data generally

(Venus reflection) By this reflection of energy Venus orbital circumference 680 million km will be used as Mars orbital period 687 days and it defines Jupiter orbital period (4331 days = 2π x 687 days) and also Saturn orbital period (10747 days = 4π x 687 days x (1/0.8)) where Uranus orbital inclination (0.8 degrees) creates effect on Saturn data AND Venus Orbital Period 224.7 days be used as 227.9 million km (Mars orbital distance) AND Also the reflection defines the planets diameters by that Venus circumference 38025 km = Mars Circumference 21346.6 km x 1.772 (π=3.14159= 1.772^2) (more data about this reflection is discussed later) (The Outer Planets Reflection) The reflection is done by Jupiter to Uranus, by that, Jupiter orbital circumference 4900 million km will be used as Uranus orbital period 30589 days where (30589 days = 4900 days x 2π and Neptune orbital period 59800 days = 4900 days x 4π and Pluto orbital period 90560 days = 4900 days x 6π Notice- the reflection in the outer planets depends basically on Saturn and it's more complex than this simple data but I put similar data for comparison and later we will discuss the details ALSO The energy reflection at Venus passes above the Earth to Mars- where the Earth moon suffers from the length contraction effect and its motion distance daily is 2.4 mkm = 2.574 mkm (The Earth motion distance daily) / 1.0725 Similar to that The energy reflection at Jupiter passes above Saturn to Uranus – Where Saturn suffers from the length contraction effect because 1433 million km (Saturn orbital distance) x 1.0725 = 2 x 778.6 million km (Jupiter orbital distance) - And- the Earth moon daily displacement is 88000 km and during 10747 days the total be 940 million km=The Earth orbital circumference (where 10747 days = Saturn orbital period) The previous data shows the reflection energy effect generally- it's important because it compares the data in two different groups and proves the data behaviors are similar- that proves these behaviors are caused by the same one cause- But we will analyze each reflection in more details to see how each data is created Item No. 2 The Energy Reflection Proves (a) Venus reflection of energy is discussed in item no. (4), But - Here We Analyze The Energy Reflections In The Outer Planets- There are two reflections in the outer planets (from Neptune to Saturn) and (from Uranus to Jupiter)- let's explain the energy trajectory The energy is sent firstly from Pluto to Neptune and then The energy is reflected from Neptune to Saturn–means- it's one reflection is started by Pluto and finished by Saturn- later the energy is reflected one more time from Uranus to Jupiter- but we have to ask- if the energy was in Saturn orbit why this energy is returned again to Uranus? The reason is–Saturn is created as a result for an interaction between Uranus and the Earth- means- Uranus is Saturn Father- and the energy is got by Saturn sent automatically to Uranus and Uranus reflects this energy to Jupiter- we will discuss the process in details later. AND I put Saturn and Uranus relationship analysis in point No. (5) to prove that Saturn is Created by Uranus effect- (b) Also there's story I have to summarize before the data discussion- Pluto energy is reflected to Neptune – this is the first reflection- means- Neptune should send this same energy to Uranus and then to Saturn and the other planets-BUT – Neptune didn't send the energy to Uranus but kept the energy in Neptune orbit – Uranus could not release the energy from Neptune orbit- (CONT) Gerges Francis Tawdrous +201022532292 Physics Department- Physics & Mathematics Faculty Peoples' Friendship university of Russia – Moscow E-mail mrwaheid1@yahoo.com gergesgerges@yandex.ru ORCID https://orcid.org/0000-0002-1041-7147 Tumblr https://www.tumblr.com/blog/itsgerges Livejournal https://gerges2022.livejournal.com/profile Pocket https://getpocket.com/@646g8dZ0p3aX5Ad1bsTr4d9THjA5p6a5b2fX99zd54g221E4bs76eBdtf6aJw5d0?src=navbar

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Why the AI Autocrats Must Be Challenged to Do Better

New Post has been published on https://thedigitalinsider.com/why-the-ai-autocrats-must-be-challenged-to-do-better/

Why the AI Autocrats Must Be Challenged to Do Better

If we’ve learned anything from the Age of AI, it’s that the industry is grappling with significant power challenges. These challenges are both literal—as in finding ways to meet the voracious energy demands that AI data centers require—and figurative—as in the concentration of AI wealth in a few hands based on narrow commercial interests rather than broader societal benefits.

The AI Power Paradox: High Costs, Concentrated Control

For AI to be successful and benefit humanity, it must become ubiquitous. To become ubiquitous, it must be both economically and environmentally sustainable. That’s not the path we’re headed down now. The obsessive battle for bigger and faster AI is driven more by short-term performance gains and market dominance than by what’s best for sustainable and affordable AI.

The race to build ever-more-powerful AI systems is accelerating, but it comes at a steep environmental cost. Cutting-edge AI chips, like Nvidia’s H100 (up to 700 watts), already consume significant amounts of energy. This trend is expected to continue, with industry insiders predicting that Nvidia’s next-generation Blackwell architecture could push power consumption per chip well into the kilowatt range, potentially exceeding 1,200 watts. With industry leaders anticipating millions of these chips being deployed in data centers worldwide, the energy demands of AI are poised to skyrocket.

The Environmental Cost of the AI Arms Race

Let’s put that in an everyday context. The electricity powering your entire house could run all your appliances at full blast simultaneously – not that anyone would do that. Now imagine just one 120kw Nvidia rack demanding that same amount of power – especially when there might be hundreds or thousands in large data centers! Now,1,200 watts equal 1.2 kw. So really, we’re talking about a medium-sized neighborhood. A single 120kW Nvidia rack – essentially 100 of those power-hungry chips – needs enough electricity to power roughly 100 homes.

This trajectory is concerning, given the energy constraints many communities face. Data center experts predict that the United States will need 18 to 30 gigawatts of new capacity over the next five to seven years, which has companies scrambling to find ways to handle that surge. Meanwhile, my industry just keeps creating more power-hungry generative AI applications that consume energy far beyond what’s theoretically necessary for the application or what’s feasible for most businesses, let alone desirable for the planet.

Balancing Security and Accessibility: Hybrid Data Center Solutions

This AI autocracy and “arms race,” obsessed with raw speed and power, ignores the practical needs of real-world data centers – namely, the kind of affordable solutions that decrease market barriers to the 75 percent of U.S. organizations that have not adopted AI. And let’s face it, as more AI regulation rolls out around privacy, security and environmental protection, more organizations will demand a hybrid data center approach, safeguarding their most precious, private and sensitive data safe in highly protected on-site areas away from the AI and cyberattacks of late. Whether it’s healthcare records, financial data, national defense secrets, or election integrity, the future of enterprise AI demands a balance between on-site security and cloud agility.

This is a significant systemic challenge and one that requires hyper-collaboration over hyper-competition. With an overwhelming focus on GPUs and other AI accelerator chips with raw capability, speed and performance metrics, we are missing sufficient consideration for the affordable and sustainable infrastructure required for governments and businesses to adopt AI capabilities. It’s like building a spaceship with nowhere to launch or putting a Lamborghini on a country road.

Democratizing AI: Industry Collaboration

While it’s heartening that governments are starting to consider regulation – ensuring that AI benefits everyone, not just the elite – our industry needs more than government rules.

For example, the UK is leveraging AI to enhance law enforcement capabilities by enhancing data sharing between law enforcement agencies to improve AI-driven crime prediction and prevention. They focus on transparency, accountability, and fairness in using AI for policing, ensuring public trust and adherence to human rights – with tools like facial recognition and predictive policing to aid in crime detection and management.

In highly regulated industries like biotech and healthcare, notable collaborations include Johnson & Johnson MedTech and Nvidia working together to enhance AI for surgical procedures. Their collaboration aims to develop real-time, AI-driven analysis and decision-making capabilities in the operating room. This partnership leverages NVIDIA’s AI platforms to enable scalable, secure, and efficient deployment of AI applications in healthcare settings​.

Meanwhile, in Germany, Merck has formed strategic alliances with Exscientia and BenevolentAI to advance AI-driven drug discovery. They are harnessing AI to accelerate the development of new drug candidates, particularly in oncology, neurology, and immunology. The goal is to improve the success rate and speed of drug development through AI’s powerful design and discovery capabilities​.

The first step is to reduce the costs of deploying AI for businesses beyond BigPharma and Big Tech, particularly in the AI inference phase—when businesses install and run a trained AI model like Chat GPT, Llama 3 or Claude in a real data center every day. Recent estimates suggest that the cost to develop the largest of these next-generation systems could be around $1 billion, with inference costs potentially 8-10 times higher.

The soaring cost of implementing AI in daily production keeps many companies from fully adopting AI—the “have-nots.” A recent survey found that only one in four companies have successfully launched AI initiatives in the past 12 months and that 42% of companies have yet to see a significant benefit from generative AI initiatives.

To truly democratize AI and make it ubiquitous — meaning, widespread business adoption — our AI industry must shift focus. Instead of a race for the biggest and fastest models and AI chips, we need more collaborative efforts to improve affordability, reduce power consumption, and open the AI market to share its full and positive potential more broadly. A systemic change would raise all boats by making AI more profitable for all with tremendous consumer benefit.

There are promising signs that slashing the costs of AI is feasible – lowering the financial barrier to bolster large-scale national and global AI initiatives. My company, NeuReality, is collaborating with Qualcomm to achieve up to 90% cost reduction and 15 times better energy efficiency for various AI applications across text, language, sound and images – the basic building blocks of AI.  You know those AI models under industry buzzwords like computer vision, conversational AI, speech recognition, natural language processing, generative AI and large language models. By collaborating with more software and service providers, we can keep customizing AI in practice to bring performance up and costs down.

In fact, we’ve managed to decrease the cost and power per AI query compared to traditional CPU-centric infrastructure upon which all AI accelerator chips, including Nvidia GPUs, rely today. Our NR1-S AI Inference Appliance began shipping over the summer with Qualcomm Cloud AI 100 Ultra accelerators paired with NR1 NAPUs. The result is an alternative NeuReality architecture that replaces the traditional CPU in AI data centers – the biggest bottleneck in AI data processing today. That evolutionary change is profound and highly necessary.

Beyond Hype: Building an Economically and Sustainable AI Future

Let’s move beyond the AI hype and get serious about addressing our systemic challenges. The hard work lies ahead at the system level, requiring our entire AI industry to work with—not against—each other. By focusing on affordability, sustainability and accessibility, we can create an AI industry and broader customer base that benefits society in bigger ways. That means offering sustainable infrastructure choices without AI wealth concentrated in the hands of a few, known as the Big 7.

The future of AI depends on our collective efforts today. By prioritizing energy efficiency and accessibility, we can avert a future dominated by power-hungry AI infrastructure and an AI oligarchy focused on raw performance at the expense of widespread benefit. Simultaneously, we must address the unsustainable energy consumption that hinders AI’s potential to revolutionize public safety, healthcare, and customer service.

In doing so, we create a powerful AI investment and profitability cycle fueled by widespread innovation.

Who’s with us?

[cubbihue]

Wait, hang on. So is the reason why Timmy is a Pixie right now is because he's not a full fledged fairy yet? How long does it take before he makes that transition?

Nobody's quite sure!! It's been so long since the last taken child, so long since the last successful taken child, that not even the Fairy Council is sure when Timmy can become a fairy. They can't put a specific number on it.

He's a full fledged Pixie though. So, that's something! They suspect he can become a Fairy once his body can handle the same level of magic that a Fairy has.

Or at least until Timmy's completely shed of everything that made him Human. For now, though, he's feeling magic growth pains, and he has two teen gremlins raiding his kitchen.

Bitties Series: [Start] > [Previous] > [Next]

[renardsruses]

Out of breath / one step closer to death

[alabasterpickles]

So, listen I’ve had this drawing in my files since I saw Mutant Mayhem in theaters and I love it but I never got the chance to finish anything up due to starting school back up this semester

So

Here you go