#origins of boolean algebra

[donpasquella]

Frankly Blank

A lust for learning in my high school years triggered in me a desire to know what lay outside the boundaries of my math classes.

Along came an irresistible temptation in the form of a course on Boolean algebra offered by a correspondence school which, they assured me, I could do at my own pace.

The material arrived, wrapped as tight as a mummy. When I opened Lesson One, my naive young self soon realized that I had dramatically over-estimated by math ability by quite a bit.

It was true that my math grades were light years better than Wanda’s, the girl who sat behind me in her one school dress not even bothering to take notes in our geometry class taught by the school's wrestling coach.

But man oh man, Boolean algebra was not of this world. I never even made it through the First Lesson. To this day, I have no idea what it is or what it’s used for.

Nor do I have any idea whatever happened to Miss Wanda.

I am frankly blank on both subjects.

[gamepadcc]

When I was a kid I loved drawing, writing, and making comics. My curiosity led me to take all my toys apart so my stepdad stopped buying new ones, and as a black kid with ADHD, the old ones were taken away and often never returned. Art was the one thing no one could take from me because all I needed was the pen and paper I was entitled to as a student.

As I got older and school got harder, my relationship with pen and paper became strained. The squeezing of story into MLA format damaged my relationship with the written word, and doodling soon followed as a result.

When I got to college I tried to reclaim my lost love by making it my career. I have been a professional filmmaker, journalist, and illustrator, and though I thought this exposure would heal my connection to art, in time, it only pushed me further away.

I found refuge in the last place expected, logic, mathematics, and computer science, oh my. Something about the formalization of abstract ideas into discrete objects just worked well with my brain, and provided an alternative to the pressure of the blank page. I could set clear boundaries, fill them, and know with confidence when I was done, which fit more neatly into the routine of my mid twenties.

Then I discovered Boolean algebra, semiotics, and computational linguistics, and an idea began to form in my mind. If I could harmonize the formality of computation with the accessibility of traditional writing tools, maybe I could find my way back to my original passions.

I’ve dedicated the last decade to developing a journal that makes sense to my mind, and designated this as one of a few spaces to experiment with and develop it and a companion pen powered programming language.

Allow me to introduce the GAMEPAD.

[pokemoncenterofficial]

boolean algebra: what do you believe to always be true

Hello, Rotomblr user Blackthorn Legion! I believe that being kind will always be the best choice - at the Mauville Game Corner, I learned to make sure my machine's user would appear to win before they lost. If they must lose (as my original owner said), I might as well make them happy first, correct?

Hmm, I have not been around very long. I will go get Theo - he has been functioning for 4 times as long as I have.

hi huh whats happening

oh this is an ask ok uhhhhh

i guess i think everything can be fixed. it might take a while, it might be kinda hard, but every problem has a solution, right?

[wordscapesreveal]

The Best Puzzle Game

Puzzle game is among the pastime sports that many people think is extremely simple to play. However, it takes a lot critical believing that individuals who've performed it may make sure it genuinely entails lots of logical skills for just one so that you can effectively listen to it. Aside from only the fun that players can get from playing, there's a lot more that certain stands to understand.

For example, it provides various advantages to players wordscapes level 253, most education experts have thus suggested these to children as an origin of better mental exercise. Actually, presently, most education systems have adapted it as being way of mental exercise within their curriculum. However, it doesn't mean that it's only intended for children, adults too are encouraged to get familiar with playing it. Farmville is among the surest methods for boosting work efficiency in grown-ups.

A puzzle game has a lot related to problem-solving, which is among the finest options that come with mathematics. The issue solving take into account this pastime sport is transported out through four fundamental operations which are all connected to mathematics, for example subtraction, addition, multiplication as well as division.

For anybody so that you can effectively play any form of farmville, she or he will need a couple of fundamental mathematical skills. Playing the sport requires innovative solutions for each movement. Players should realize that in playing puzzles, there aren't any pre-recorded or profound solutions and everybody must invent their very own methods for making moves.

It calls for a lot of arithmetic and straightforward calculus. Learning it is extremely easy and doesn't require a lot effort aside from just critical thinking. In arithmetic puzzle, that is among the famous forms, the answer is wholly determined by the correct utilization of optimal methods. However, obtaining the optimal methods is a the duties that lies in front of the players and also the foundation of playing. There's also algebraic types that need algebraic playing methods and theorems for that players so that you can develop solutions. For excellent fun in playing the types, modern algebra and Boolean algebra can also be incorporated.

Playing a puzzle game is among the sports that individuals may use in sharpening their arithmetic skills. Today, the puzzle game has been made so accessible as it is available even online where individuals interested can play in their convenience.

[formswitch63-blog]

Programmable Logic Controllers By Dag H. Hanssen (ebook)

Programmable Logic Controllers By Dag H. Hanssen (ebook)

Widely used across industrial and manufacturing automation, Programmable Logic Controllers (PLCs) perform a broad range of electromechanical tasks with multiple input and output arrangements, designed specifically to cope in severe environmental conditions such as automotive and chemical plants. Programmable Logic Controllers: A Practical Approach using CoDeSys is a hands-on guide to rapidly gain proficiency in the development and operation of PLCs based on the IEC 61131-3 standard. CoDeSys, which is widely used in industrial design automation projects, the author takes a highly practical approach to PLC design using real-world examples. The design tool, CoDeSys, also features a built in simulator/soft PLC enabling the reader to undertake exercises and test the examples.

Introduces to programming techniques using IEC 61131-3 guidelines in the five PLC-recognised programming languages. Focuses on a methodical approach to programming, based on Boolean algebra, flowcharts, sequence diagrams and state-diagrams. Contains a useful methodology to solve problems, develop a structured code and document the programming code. Covers I/O like typical sensors, signals, signal formats, noise and cabling. Features Power Point slides covering all topics, example programs and solutions to end-of-chapter exercises via companion website. No prior knowledge of programming PLCs is assumed making this text ideally suited to electronics engineering students pursuing a career in electronic design automation. Experienced PLC users in all fields of manufacturing will discover new possibilities and gain useful tips for more efficient and structured programming.

These conventional panels are built up depending on the logic to be implemented after the mill builder provides the overall operational method which is elaborated further by the electrical supplier as per the actual implementation. While the functionality of the mill interlock panel is similar in the PLC panels, the concept defining the number of inputs and outputs came into the use with the implementation with PLC-s. As compared to the central relay and interlock panels or mill interlock panels , the modern day PLC based interlock panels are able to handle much more of functionalities as explained under III . Since the PLC-s themselves are micro- processor or controller based they have the same working architecture like the standard computer architecture with the following elements.

The inputs and the outputs form the bulk of the hardware depending on the plant requirement and capacity. While the PLC CPU, instruction sets, software, memory, communication and other capabilities . Apart from the functionalities , the PLC type is primarily decided based on the number and the type of inputs and outputs. The defining of the inputs and the outputs got into the use with the use of PLC-s for the control and interlock functions. This is because in the PLC panels the status of the inputs or outputs ( called input and output images ) or intermediate flags can be used any number of times as these are soft signals when implementing the logic.

The advantage of this method is that even at the beginning of a project ( even during the cost estimation stage ) one can estimate the number of inputs and outputs and decide the type of the PLC. https://instrumentationtools.com/ need not even be fully clear about the logic or the total functionalities to estimate the PLC-s. An example for selecting the number of inputs and outputs is given in one of the following sections . The types of industrial inputs and outputs are discussed first . They are the commonly used input devices They have basically two parts - operating buttons (actuators) and the contact units.

Normally 2 N/O and / or 2 N/C contact blocks are common when used with the conventional relay based control panels. With PLC based system, the input block need only be 1 N/O or 1 N/C. This input along with their complement can be used any number of times in the PLC ladder diagrams . The operator buttons are of different types; i. The buttons are normally with different colours, like the indication lamps to be described under the outputs. Green is normally used for ‘on’ functions and ‘Red’ is used for ‘off’ function; other colors like yellow, black etc are used for other functions like start, stop, jog, thread etc. functions.

Sometimes the mushroom headed red coloured off (emergency) PB actuators get mechanically latched when pressed; They need to be turned in one direction to release the same. They are selected for certain locking type control functions like enable / disable or forward / reverse selection type respectively. Some times the PB actuator unit has a transparent head(with appropriate coloured lens) with in built indication lamp, apart from the contact blocks. These are normally used to sense the reaching of the required physical limit by a machinery or a motion control system. The limit switch operates on physical contact and closes a switch provided with N/O and N/C contacts.

Here the rotary limit switch arrangement is coupled to the motor or the actual load shaft driving an operation. The coupling is through an appropriate gear box so that for number of revolution on the equipment shaft side, the limit switch shaft rotates once. On the limit switch shaft are number of cams and the cam actuation positions are set at the required appropriate angles. These cam settings are adjustable programmable. With this arrangement the individual cams operate the associated limit switches. The operation of these limit switches can be associated with the reaching of appropriate limits in a linear travel; eg.

Position vi. Stop ; top position for tipping the material into furnace. However they require external power supplies. 1. They also function as limit switches but without physical contact. 2. There are two types - called inductive proximity switches or capacitive proximity switches which operate due to changes in the magnetic field or the capacitance value under the proximity of the part or item being sensed. These switches also require external power supply and the outputs are normally open collector transistor type to which an external relay can be connected or can be a direct input to PLC input card.

3. These proximity sensors can also be used to measure the speed of a motor or drive by non-contact method. Of the above mentioned inputs, many of them are on/off type (either potential free contacts or open collector type) and are called as digital inputs and some of them are providing analog inputs for continuous controls. There are also other soft inputs like the keyboard inputs etc. but they do not form hard wired inputs. The above mentioned devices are input devices for a relay and PLC control system. There are also number of output devices which get connected to a relay or PLC based control system. The functioning of contactors are similar to relays; Additionally contactors have 3 or 4 power N/O contacts (normally) which is used to switch on the power.

The contactor coils are energized through PLC output or another relays contact and through the coil power supply (110VAC, 220VAC, 415VAC etc). DC supplied coils are also present some times. The contactors are normally used to switch 3 phase AC power to say a motor or a power modulator or such an application and they are extensively used. Contactors are normally available in various sizes (size 0 to size 16 - corresponding to 16 A to 630 A and more). Most of the contactors are for AC power switching. There are also DC power switching contactors available. They require special arc- chutes for lengthening the arc.

Hence these DC contactors are more expensive and need to be carefully selected. All contactors have auxiliary contacts for inter locking and relaying functions. 2 N/C contacts are provided for these auxiliary functions. Apart from the selection of contactors to match with output load current and voltage, they need to be selected, also considering the numbers of operating cycles per hour. Like a relay and contactor, the solenoid is an electro-mechanical device. In this the electrical energy is used to magnetically cause a mechanical movement. The solenoid; like the contactor has a frame, plunger and the coil. The coil is energized by AC or DC voltage.

Upon the application of the voltage to the coil, the corresponding plunger is pulled back through a spring in case the coil voltage is interrupted. The AC solenoid draws a large in-rush current on energizing, when the plunger is fully out. The current drops to minimum value when the plunger is fully in. Due to this, it is important to ensure that the solenoid is fully energized i.e. the plunger is fully in. Otherwise the solenoid coil will take more than rated current continuously resulting in the burn-out of the coil. As against this, DC solenoid takes a constant coil current; but AC solenoid has superior initial pull.

For many industrial applications, 24V DC solenoids are normally preferred. While the contactor as output devices are selected based on the load current and voltage requirement, the solenoids are normally selected to handle appropriate pressure, force or weigh to be lifted etc. Accordingly the solenoid size varies. 1. Single solenoid (with one motion) with one coil. When it is energized it moves against the spring and when de-energized comes back to original position. 2. Single solenoid (with one motion) but with two coils. This is similar to above but with latching feature. One coil is for switching on and another is for switching off.

3. Double solenoid (with two motions, say up / down) and with two coils. When one coil is energized, the motion is upwards and downwards when the other coil is energized. It goes to neutral position when both the coils are not energized. 4. As it can be understood the number of coils to be energized decide the number of outputs per solenoid to be considered by the PLC. Normally the above solenoids are on/off devices; some times it is required to provide a motion which is proportional to the supply current amplitude. There are also continuously adjustable devices - e.g screw down in a rolling mill, measuring gauge adjustment for a cut length etc which are controlled through a proportional control system based on electrical motors or hydraulic valves .

[yesthatsatumbler]

In that one I definitely want an "I learned about the guy before I learned the word" option

(it was a silly onomatopoeic joke about bool-boolean algebras where 1+1=1) (but the relevant terminology works slightly differently in the original Russian so I feel like it doesn't count and I definitely didn't find out about the programming term [which was probably the one you meant] until much later)

[foxandco94]

Airflow Clickhouse

Aspect calc. Aspect ratio calculator to get aspect ratio for your images or videos (4:3, 16:9, etc.).

Airflow Clickhouse Example

Airflow-clickhouse-plugin 0.6.0 Mar 13, 2021 airflow-clickhouse-plugin - Airflow plugin to execute ClickHouse commands and queries. Baluchon 0.0.1 Dec 19, 2020 A tool for managing migrations in Clickhouse. Domination 1.2 Sep 21, 2020 Real-time application in order to dominate Humans. Intelecy-pandahouse 0.3.2 Aug 25, 2020 Pandas interface for. I investigate how fast ClickHouse 18.16.1 can query 1.1 billion taxi journeys on a 3-node, 108-core AWS EC2 cluster. Convert CSVs to ORC Faster I compare the ORC file construction times of Spark 2.4.0, Hive 2.3.4 and Presto 0.214. Rev transcription career. We and third parties use cookies or similar technologies ('Cookies') as described below to collect and process personal data, such as your IP address or browser information. The world's first data engineering coding bootcamp in Berlin. Learn sustainable data craftsmanship beyond the AI-hype. Join our school and learn how to build and maintain infrastructure that powers data products, data analytics tools, data science models, business intelligence and machine learning s.

Airflow Clickhouse Connection

Package Name AccessSummary Updated jupyterlabpublic An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. 2021-04-22httpcorepublic The next generation HTTP client. 2021-04-22jsondiffpublic Diff JSON and JSON-like structures in Python 2021-04-22jupyter_kernel_gatewaypublic Jupyter Kernel Gateway 2021-04-22reportlabpublic Open-source engine for creating complex, data-driven PDF documents and custom vector graphics 2021-04-21pytest-asynciopublic Pytest support for asyncio 2021-04-21enamlpublic Declarative DSL for building rich user interfaces in Python 2021-04-21onigurumapublic A regular expression library. 2021-04-21cfn-lintpublic CloudFormation Linter 2021-04-21aws-c-commonpublic Core c99 package for AWS SDK for C. Includes cross-platform primitives, configuration, data structures, and error handling. 2021-04-21nginxpublic Nginx is an HTTP and reverse proxy server 2021-04-21libgcryptpublic a general purpose cryptographic library originally based on code from GnuPG. 2021-04-21google-authpublic Google authentication library for Python 2021-04-21sqlalchemy-utilspublic Various utility functions for SQLAlchemy 2021-04-21flask-apschedulerpublic Flask-APScheduler is a Flask extension which adds support for the APScheduler 2021-04-21datadogpublic The Datadog Python library 2021-04-21cattrspublic Complex custom class converters for attrs. 2021-04-21argcompletepublic Bash tab completion for argparse 2021-04-21luarockspublic LuaRocks is the package manager for Lua modulesLuaRocks is the package manager for Lua module 2021-04-21srslypublic Modern high-performance serialization utilities for Python 2021-04-19pytest-benchmarkpublic A py.test fixture for benchmarking code 2021-04-19fastavropublic Fast read/write of AVRO files 2021-04-19cataloguepublic Super lightweight function registries for your library 2021-04-19zarrpublic An implementation of chunked, compressed, N-dimensional arrays for Python. 2021-04-19python-engineiopublic Engine.IO server 2021-04-19nuitkapublic Python compiler with full language support and CPython compatibility 2021-04-19hypothesispublic A library for property based testing 2021-04-19flask-adminpublic Simple and extensible admin interface framework for Flask 2021-04-19hyperframepublic Pure-Python HTTP/2 framing 2021-04-19pythonpublic General purpose programming language 2021-04-17python-regr-testsuitepublic General purpose programming language 2021-04-17pyamgpublic Algebraic Multigrid Solvers in Python 2021-04-17luigipublic Workflow mgmgt + task scheduling + dependency resolution. 2021-04-17libpython-staticpublic General purpose programming language 2021-04-17dropboxpublic Official Dropbox API Client 2021-04-17s3fspublic Convenient Filesystem interface over S3 2021-04-17furlpublic URL manipulation made simple. 2021-04-17sympypublic Python library for symbolic mathematics 2021-04-15spyderpublic The Scientific Python Development Environment 2021-04-15sqlalchemypublic Database Abstraction Library. 2021-04-15rtreepublic R-Tree spatial index for Python GIS 2021-04-15pandaspublic High-performance, easy-to-use data structures and data analysis tools. 2021-04-15poetrypublic Python dependency management and packaging made easy 2021-04-15freetdspublic FreeTDS is a free implementation of Sybase's DB-Library, CT-Library, and ODBC libraries 2021-04-15ninjapublic A small build system with a focus on speed 2021-04-15cythonpublic The Cython compiler for writing C extensions for the Python language 2021-04-15conda-package-handlingpublic Create and extract conda packages of various formats 2021-04-15condapublic OS-agnostic, system-level binary package and environment manager. 2021-04-15colorlogpublic Log formatting with colors! 2021-04-15bitarraypublic efficient arrays of booleans -- C extension 2021-04-15

Reverse Dependencies of apache-airflow

Clickhouse Icon

Digital recorder that transcribes to text. The following projects have a declared dependency on apache-airflow:

Clickhouse Download

acryl-datahub — A CLI to work with DataHub metadata

AGLOW — AGLOW: Automated Grid-enabled LOFAR Workflows

aiflow — AI Flow, an extend operators library for airflow, which helps AI engineer to write less, reuse more, integrate easily.

aircan — no summary

airflow-add-ons — Airflow extensible opertators and sensors

airflow-aws-cost-explorer — Apache Airflow Operator exporting AWS Cost Explorer data to local file or S3

airflow-bigquerylogger — BigQuery logger handler for Airflow

airflow-bio-utils — Airflow utilities for biological sequences

airflow-cdk — Custom cdk constructs for apache airflow

airflow-clickhouse-plugin — airflow-clickhouse-plugin - Airflow plugin to execute ClickHouse commands and queries

airflow-code-editor — Apache Airflow code editor and file manager

airflow-cyberark-secrets-backend — An Airflow custom secrets backend for CyberArk CCP

airflow-dbt — Apache Airflow integration for dbt

airflow-declarative — Airflow DAGs done declaratively

airflow-diagrams — Auto-generated Diagrams from Airflow DAGs.

airflow-ditto — An airflow DAG transformation framework

airflow-django — A kit for using Django features, like its ORM, in Airflow DAGs.

airflow-docker — An opinionated implementation of exclusively using airflow DockerOperators for all Operators

airflow-dvc — DVC operator for Airflow

airflow-ecr-plugin — Airflow ECR plugin

airflow-exporter — Airflow plugin to export dag and task based metrics to Prometheus.

airflow-extended-metrics — Package to expand Airflow for custom metrics.

airflow-fs — Composable filesystem hooks and operators for Airflow.

airflow-gitlab-webhook — Apache Airflow Gitlab Webhook integration

airflow-hdinsight — HDInsight provider for Airflow

airflow-imaging-plugins — Airflow plugins to support Neuroimaging tasks.

airflow-indexima — Indexima Airflow integration

airflow-notebook — Jupyter Notebook operator for Apache Airflow.

airflow-plugin-config-storage — Inject connections into the airflow database from configuration

airflow-plugin-glue-presto-apas — An Airflow Plugin to Add a Partition As Select(APAS) on Presto that uses Glue Data Catalog as a Hive metastore.

airflow-prometheus — Modern Prometheus exporter for Airflow (based on robinhood/airflow-prometheus-exporter)

airflow-prometheus-exporter — Prometheus Exporter for Airflow Metrics

airflow-provider-fivetran — A Fivetran provider for Apache Airflow

airflow-provider-great-expectations — An Apache Airflow provider for Great Expectations

airflow-provider-hightouch — Hightouch Provider for Airflow

airflow-queue-stats — An airflow plugin for viewing queue statistics.

airflow-spark-k8s — Airflow integration for Spark On K8s

airflow-spell — Apache Airflow integration for spell.run

airflow-tm1 — A package to simplify connecting to the TM1 REST API from Apache Airflow

airflow-util-dv — no summary

airflow-waterdrop-plugin — A FastAPI Middleware of Apollo(Config Server By CtripCorp) to get server config in every request.

airflow-windmill — Drag'N'Drop Web Frontend for Building and Managing Airflow DAGs

airflowdaggenerator — Dynamically generates and validates Python Airflow DAG file based on a Jinja2 Template and a YAML configuration file to encourage code re-usability

airkupofrod — Takes a deployment in your kubernetes cluster and turns its pod template into a KubernetesPodOperator object.

airtunnel — airtunnel – tame your Airflow!

apache-airflow-backport-providers-amazon — Backport provider package apache-airflow-backport-providers-amazon for Apache Airflow

apache-airflow-backport-providers-apache-beam — Backport provider package apache-airflow-backport-providers-apache-beam for Apache Airflow

apache-airflow-backport-providers-apache-cassandra — Backport provider package apache-airflow-backport-providers-apache-cassandra for Apache Airflow

apache-airflow-backport-providers-apache-druid — Backport provider package apache-airflow-backport-providers-apache-druid for Apache Airflow

apache-airflow-backport-providers-apache-hdfs — Backport provider package apache-airflow-backport-providers-apache-hdfs for Apache Airflow

apache-airflow-backport-providers-apache-hive — Backport provider package apache-airflow-backport-providers-apache-hive for Apache Airflow

apache-airflow-backport-providers-apache-kylin — Backport provider package apache-airflow-backport-providers-apache-kylin for Apache Airflow

apache-airflow-backport-providers-apache-livy — Backport provider package apache-airflow-backport-providers-apache-livy for Apache Airflow

apache-airflow-backport-providers-apache-pig — Backport provider package apache-airflow-backport-providers-apache-pig for Apache Airflow

apache-airflow-backport-providers-apache-pinot — Backport provider package apache-airflow-backport-providers-apache-pinot for Apache Airflow

apache-airflow-backport-providers-apache-spark — Backport provider package apache-airflow-backport-providers-apache-spark for Apache Airflow

apache-airflow-backport-providers-apache-sqoop — Backport provider package apache-airflow-backport-providers-apache-sqoop for Apache Airflow

apache-airflow-backport-providers-celery — Backport provider package apache-airflow-backport-providers-celery for Apache Airflow

apache-airflow-backport-providers-cloudant — Backport provider package apache-airflow-backport-providers-cloudant for Apache Airflow

apache-airflow-backport-providers-cncf-kubernetes — Backport provider package apache-airflow-backport-providers-cncf-kubernetes for Apache Airflow

apache-airflow-backport-providers-databricks — Backport provider package apache-airflow-backport-providers-databricks for Apache Airflow

apache-airflow-backport-providers-datadog — Backport provider package apache-airflow-backport-providers-datadog for Apache Airflow

apache-airflow-backport-providers-dingding — Backport provider package apache-airflow-backport-providers-dingding for Apache Airflow

apache-airflow-backport-providers-discord — Backport provider package apache-airflow-backport-providers-discord for Apache Airflow

apache-airflow-backport-providers-docker — Backport provider package apache-airflow-backport-providers-docker for Apache Airflow

apache-airflow-backport-providers-elasticsearch — Backport provider package apache-airflow-backport-providers-elasticsearch for Apache Airflow

apache-airflow-backport-providers-email — Back-ported airflow.providers.email.* package for Airflow 1.10.*

apache-airflow-backport-providers-exasol — Backport provider package apache-airflow-backport-providers-exasol for Apache Airflow

apache-airflow-backport-providers-facebook — Backport provider package apache-airflow-backport-providers-facebook for Apache Airflow

apache-airflow-backport-providers-google — Backport provider package apache-airflow-backport-providers-google for Apache Airflow

apache-airflow-backport-providers-grpc — Backport provider package apache-airflow-backport-providers-grpc for Apache Airflow

apache-airflow-backport-providers-hashicorp — Backport provider package apache-airflow-backport-providers-hashicorp for Apache Airflow

apache-airflow-backport-providers-jdbc — Backport provider package apache-airflow-backport-providers-jdbc for Apache Airflow

apache-airflow-backport-providers-jenkins — Backport provider package apache-airflow-backport-providers-jenkins for Apache Airflow

apache-airflow-backport-providers-jira — Backport provider package apache-airflow-backport-providers-jira for Apache Airflow

apache-airflow-backport-providers-microsoft-azure — Backport provider package apache-airflow-backport-providers-microsoft-azure for Apache Airflow

apache-airflow-backport-providers-microsoft-mssql — Backport provider package apache-airflow-backport-providers-microsoft-mssql for Apache Airflow

apache-airflow-backport-providers-microsoft-winrm — Backport provider package apache-airflow-backport-providers-microsoft-winrm for Apache Airflow

apache-airflow-backport-providers-mongo — Backport provider package apache-airflow-backport-providers-mongo for Apache Airflow

apache-airflow-backport-providers-mysql — Backport provider package apache-airflow-backport-providers-mysql for Apache Airflow

apache-airflow-backport-providers-neo4j — Backport provider package apache-airflow-backport-providers-neo4j for Apache Airflow

apache-airflow-backport-providers-odbc — Backport provider package apache-airflow-backport-providers-odbc for Apache Airflow

apache-airflow-backport-providers-openfaas — Backport provider package apache-airflow-backport-providers-openfaas for Apache Airflow

apache-airflow-backport-providers-opsgenie — Backport provider package apache-airflow-backport-providers-opsgenie for Apache Airflow

apache-airflow-backport-providers-oracle — Backport provider package apache-airflow-backport-providers-oracle for Apache Airflow

apache-airflow-backport-providers-pagerduty — Backport provider package apache-airflow-backport-providers-pagerduty for Apache Airflow

apache-airflow-backport-providers-papermill — Backport provider package apache-airflow-backport-providers-papermill for Apache Airflow

apache-airflow-backport-providers-plexus — Backport provider package apache-airflow-backport-providers-plexus for Apache Airflow

apache-airflow-backport-providers-postgres — Backport provider package apache-airflow-backport-providers-postgres for Apache Airflow

apache-airflow-backport-providers-presto — Backport provider package apache-airflow-backport-providers-presto for Apache Airflow

apache-airflow-backport-providers-qubole — Backport provider package apache-airflow-backport-providers-qubole for Apache Airflow

apache-airflow-backport-providers-redis — Backport provider package apache-airflow-backport-providers-redis for Apache Airflow

apache-airflow-backport-providers-salesforce — Backport provider package apache-airflow-backport-providers-salesforce for Apache Airflow

apache-airflow-backport-providers-samba — Backport provider package apache-airflow-backport-providers-samba for Apache Airflow

apache-airflow-backport-providers-segment — Backport provider package apache-airflow-backport-providers-segment for Apache Airflow

apache-airflow-backport-providers-sendgrid — Backport provider package apache-airflow-backport-providers-sendgrid for Apache Airflow

apache-airflow-backport-providers-sftp — Backport provider package apache-airflow-backport-providers-sftp for Apache Airflow

apache-airflow-backport-providers-singularity — Backport provider package apache-airflow-backport-providers-singularity for Apache Airflow

apache-airflow-backport-providers-slack — Backport provider package apache-airflow-backport-providers-slack for Apache Airflow

apache-airflow-backport-providers-snowflake — Backport provider package apache-airflow-backport-providers-snowflake for Apache Airflow

[kata4a]

while this is technically correct, I'm docking points for the use of bimbophobic combinators like iff in your texts, as well as relying on a specific interpretation of "opposite day" that is not strictly compatible with the original framing of the problem (although I believe it is equivalent)

a more parsimonious solution along with a discussion of different interpretations of "opposite day" under the cut

solution

first text (to A): "if I asked you if B was my frenemy, would you say yes?"

if she texts back "yes," then C is not your frenemy, otherwise B is not your frenemy

the next two texts are two whoever you now know for sure isn't your frenemy

second text (to C if A texts back "yes," otherwise to B): "if I asked you if you were my bestie, would you say yes?"

if they respond "yes," they are your bestie, if they respond "no," they are your worstie

third text (to same number as second text): "if I asked you if A was my frenemy, would you say yes?"

if they respond "yes," then A is your frenemy, if they respond "no," then the other girl (B if you're texting C, or C if you're texting B) is your frenemy

the girl's number can be identified by process of elimination

explanation

the key insight here is that, for any proposition Q, asking a bestie or worstie "if I asked you Q, would you say yes?" will always get the reply "yes" if Q is true and "no" if Q is false

this can be shown with some fairly simple boolean algebra. first, consider that a girl's response to Q can be formalized as

Q ⇔ Girl ⇔ Day

where

Girl is true if the girl is your bestie, and false if she is your worstie; and

Day is true if today is a normal day, and false if it's opposite day; and

⇔ is the logical biconditional operator, aka iff

from this we can fairly straightforwardly see that a girls response to "if I ask you Q, will you respond yes?" is

(Q ⇔ Girl ⇔ Day) ⇔ Girl ⇔ Day

and, relying on some algebraic properties of ⇔ (namely that it forms a commutative group with the set {true, false} where true is the identity and both elements are their own invervse) see that this reduces to just

Q

then, the first text we send rules out one of the girls as a frenemy: either the girl you send the text to is your frenemy, in which case her answer is meaningless but it doesn't matter because either other girl is definitely not your frenemy; or she isn't, in which case her answer can be used to reliably rule out one of the other girls as your frenemy

and once you've done that, it's straightforward enough to use this construction and the known-predictable girl to get enough information to match everyone with their numbers

opposite day

the original problem says: "on opposite day, your bestie and worstie consistently behave opposite how they normally would"

the intent here is that, one opposite day, your bestie is so wrong and your worstie is so right; this is very slightly different from boole's puzzle, which does not change the characters behaviors, instead simply saying that you don't know which word means 'yes' and which means 'no'

on other words, there are two interpretations of "opposite day" here:

1. on opposite day, your bestie lies and your worstie is honest

2. on opposite day, the words "yes" and "no" swap their meanings

the solution I've provided is agnostic to which interpretation it uses (as it doesn't rely on the meanings of the girls' responses, nor whether they are actually lying - the questions only ever ask about the literal content of their answerd)

however, I think it can be fairly easily shown that the two interpretations are "equivalent" in the sense that any question which relies on one interpretation can be mechanically transformed into a question with same answers in the other interpretation

your bestie is always so true. your worstie is always so false. unfortunately, you just got a new phone and don't yet have their numbers saved. what one text can you send,

[secureshark6441-blog]

02 | Claude Shannon

Claude Shannon was an American mathematician and electrical engineer who laid the theoretical foundations for digital circuits and information theory.  His master’s thesis “A Symbolic Analysis of Relay and Switching Circuits” (1940) used Boolean algebra to establish the theoretical basis of digital circuits. This is significant as digital circuits are fundamental to the operation of modern computers and telecommunication equipment. 

After joining the Bell Laboratories in 1942, he formulated the information theory that explains the communication of information and worked on the problem of most efficiently transmitting information. Shannon realised that communication signals must be treated in isolation from the meaning of the message and that the amount of information converted by a signal is not directly related to the size of the message. In 1948, he published his paper, “A Mathematical Theory of Communication” containing his findings. This paper helped defined a mathematical notion in which information could be quantified and demonstrated that information could be delivered reliably over imperfect communication channels like phone lines or wireless connections.

“So wide were its repercussions that the theory was described as one of humanity’s proudest and rarest creations, a general scientific theory that could profoundly and rapidly alter humanity’s view of the world.” - Ioan James

Information Theory 

The information theory is a mathematical representation of the conditions and parameters affecting the transmission and processing of information. It suggests that information can be treated like a measurable physical quantity, such as density or mass. 

The basic elements of any general communications system include:

A source of information which is a transmitting device that transforms the information or “message” into a form suitable for transmission by a particular means. 

The means or channel over which the message is transmitted.

A receiving device which decodes the message back into some approximation of its original form.

The destination or intended recipient of the message.

A source of noise (i.e., interference or distortion) which changes the message in unpredictable ways during transmission.

A mathematical characterisation of a generalised communication system yields a number of important quantities such as:

The rate at which information is produced at the source.

The capacity of the channel for handling information.

The average amount of information in a message of any particular type.

References

Wikipedia: Claude Shannon

IEEE: Claude E. Shannon

NYU: Claude Shannon

Britannica: Claude Shannon

[blogchaindeveloper]

Generative AI: An Introduction

In recent years, Generative Artificial Intelligence (AI) has swiftly transcended from a mere industry buzzword to a tangible reality, reshaping various sectors with its innovative capabilities. This article aims to provide a comprehensive overview of Generative AI, shedding light on its evolution, applications, and ethical considerations while offering insights into its promising future.

Tracing the Evolution of AI

To comprehend the essence of Generative AI, it's crucial to traverse through the archives of AI's evolutionary history. The origins of AI can be traced back to the musings of ancient philosophers and mathematicians, who harboured aspirations of mechanizing human reasoning. However, it was in the 19th and 20th centuries that the groundwork for modern AI was meticulously laid, primarily with George Boole's pioneering work in Boolean algebra and Alan Turing's groundbreaking concept of thinking machines.

The pivotal year of 1943 witnessed the advent of neural networks with the introduction of the first artificial neuron by Warren McCullouch and Walter Pitts, marking a significant leap in AI's journey. Subsequently, Alan Turing's seminal paper in 1950, "Computing Machinery and Intelligence," proposed the iconic Turing test as a benchmark for evaluating machine intelligence. The term "artificial intelligence" itself was coined during the Dartmouth Summer Research Project on AI in 1956, signifying the onset of dedicated AI research endeavours.

Despite the initial surge of optimism in the 1960s, fueled by ambitious predictions of achieving human-level intelligence, AI encountered formidable challenges, leading to periods of stagnation termed the "AI winter." It wasn't until the 1990s and 2000s that the resurgence of AI was propelled by the advent of machine learning (ML), which harnessed the power of data to discern patterns directly, thereby enabling a plethora of applications ranging from email spam filters to recommendation systems.

However, the true turning point arrived in 2012 with the emergence of deep learning, a subset of ML empowered by enhanced computational capabilities and advancements in neural network algorithms. This breakthrough heralded a new era of AI research, characterized by unprecedented investments, innovations, and applications. Today, AI permeates various facets of life, with Generative AI emerging as a promising frontier, poised to redefine human-machine interactions.

Understanding Generative AI

Generative AI represents a paradigm shift within the realm of ML, leveraging neural networks to generate novel content across diverse domains such as images, videos, audio, and text. Unlike traditional AI models focused on classification and prediction, Generative AI imbues machines with the ability to create content autonomously, akin to human creativity.

At the core of Generative AI lies the principle of learning intricate patterns from vast datasets, enabling models to produce outputs that exhibit remarkable fidelity to human-crafted content. Whether it's generating lifelike images, composing captivating narratives, or crafting melodious tunes, Generative AI models exemplify the convergence of artistry and technology.

Mechanisms Underlying Generative AI

The mechanism of Generative AI entails an intricate interplay of neural networks, vast datasets, and complex algorithms. Through a process of iterative training, these models learn to discern subtle nuances and correlations within the data, thereby honing their ability to generate authentic-seeming outputs.

While the underlying mechanisms are inherently complex, the overarching principle remains consistent: Generative AI models learn from data to create content that transcends mere mimicry, exhibiting a semblance of creativity and originality.

Dispelling Misconceptions Surrounding Generative AI

Despite the awe-inspiring capabilities of Generative AI, it is often shrouded in misconceptions and misinterpretations.

One prevalent misconception is the notion of self-awareness attributed to Generative AI models. Contrary to popular belief, these models lack consciousness and exhibit no intrinsic understanding of their generated content or the surrounding environment. They operate within the confines of predefined algorithms and training data, devoid of cognitive faculties akin to human consciousness.

Similarly, the notion of unbiasedness attributed to Generative AI models requires scrutiny. These models are trained on vast datasets sourced from the internet, which inherently reflect the biases and idiosyncrasies prevalent within society. Consequently, Generative AI outputs may inadvertently perpetuate and amplify existing biases, necessitating vigilance and proactive measures to mitigate potential disparities.

Furthermore, while Generative AI models exhibit remarkable accuracy in generating content, they are not infallible and may occasionally produce erroneous or misleading outputs. It is important to exercise caution and critical scrutiny when interpreting Generative AI-generated content, corroborating information from reliable sources to ensure veracity and authenticity.

Ethical Considerations in Generative AI

Cybersecurity: Generative AI models pose potential threats by circumventing security measures such as CAPTCHAs and creating sophisticated deep fakes, thereby exacerbating the risks of cyberattacks and misinformation campaigns.

Bias and discrimination: Generative AI models inadvertently perpetuate and amplify societal biases present within their training data. Left unchecked, this phenomenon may engender unfair or discriminatory outcomes, necessitating concerted efforts to mitigate bias and foster inclusivity within AI systems.

Misinformation and fake news: Generative AI exacerbates the proliferation of synthetic media that may be indistinguishable from authentic content. This raises concerns regarding the manipulation of public opinion, electoral integrity, and societal cohesion, necessitating robust strategies to combat misinformation and promote media literacy.

Privacy preservation: Generative AI models potentially infringe upon individuals' privacy rights by leveraging sensitive or personal data to generate content. Striking a balance between innovation and privacy protection is imperative to uphold ethical standards and safeguard individuals' rights in the digital landscape.

Intellectual property right: Generative AI blurs the boundaries of authorship and ownership in content creation. As AI-generated content proliferates across digital platforms, questions regarding attribution, licensing, and fair compensation warrant careful deliberation to ensure equitable outcomes for content creators and stakeholders.

Applications Across Industries

The transformative potential of Generative AI extends across a myriad of industries, catalyzing innovation and redefining established paradigms.

Technology sector: Generative AI facilitates code generation, automated testing, and cybersecurity applications, streamlining software development workflows and bolstering digital resilience against emerging threats.

Finance industry: Generative AI enables automated financial analysis, risk mitigation, and content generation, empowering organizations to make informed decisions and optimize operational efficiencies in a data-rich environment.

Healthcare: Generative AI contributes to medical imaging analysis, drug discovery, and patient care, leveraging predictive analytics and personalized medicine to improve diagnostic accuracy and treatment outcomes.

Entertainment industry: Generative AI revolutionizes content creation, enabling the synthesis of music, movies, and video games with unprecedented realism and creativity while raising ethical considerations regarding attribution and authenticity.

Envisioning the Future of Generative AI

As Generative AI continues to evolve, the future unfolds with tantalizing prospects and unprecedented challenges. Advancements in quality, accessibility, interactivity, and real-time content generation herald a paradigm shift in human-machine interactions, fostering personalized experiences and immersive environments across diverse domains.

The democratization of Generative AI, driven by advancements in hardware and algorithmic sophistication, promises to democratize access to creative tools and empower individuals to unleash their creative potential.

Interactivity emerges as a hallmark of future Generative AI applications, with models adapting to user feedback, preferences, and interactions to deliver personalized experiences tailored to individual needs and preferences.

Moreover, the convergence of Generative AI with emerging technologies such as augmented reality (AR) and virtual reality (VR) unlocks new frontiers in immersive storytelling, gaming, and experiential marketing, blurring the boundaries between the physical and digital realms.

Learn Artificial Intelligence on Blockchain Council!

As the demand for skilled professionals in AI burgeons, individuals aspiring to embark on a career trajectory as an artificial intelligence developer must equip themselves with the requisite expertise and credentials. Pursuing an artificial intelligence certification serves as a pivotal stepping stone towards acquiring specialized knowledge and competencies in this dynamic domain. AI developer certifications not only validate proficiency in cutting-edge AI technologies but also demonstrate a commitment to staying abreast of industry trends and best practices. Moreover, enrolling in prompt engineering courses facilitates hands-on learning experiences and fosters a deeper understanding of the intricate mechanisms underlying Generative AI.

Blockchain Council is an authoritative platform spearheading the advancement of artificial intelligence with its prompt engineer course. As a group of subject experts and enthusiasts, the Blockchain Council is dedicated to evangelizing blockchain research, development, and applications, recognizing the transformative potential of emerging technologies for a better world. Through its prompt engineer certification, the Blockchain Council offers aspiring professionals the opportunity to acquire specialized expertise in generative AI, bridging the gap between theory and practical application in this dynamic field.

Conclusion

In conclusion, Generative AI stands as a testament to humanity's ingenuity and technological prowess, offering a glimpse into a future brimming with possibilities and challenges. While its ascent heralds transformative changes across industries, it is important to navigate ethically and responsibly, mindful of the profound implications and societal ramifications.

By fostering a nuanced understanding of Generative AI's capabilities, limitations, and ethical considerations, we can harness its potential to foster innovation, creativity, and inclusive progress in the digital age. Ultimately, obtaining a generative AI certification from the Blockchain Council empowers individuals to navigate the complex landscape of AI with confidence and competence, thereby unlocking myriad opportunities for professional growth and innovation.

[ourelissaus-blog]

MTH 221 ENTIRE COURSE | University Of Phoenix

MTH 221 ENTIRE COURSE

Get MTH 221 entire course at University of Phoenix. Here is the best resources for homework help with MTH 221: Discrete Math at University of phoenix.

Get MTH 221 assignment help, homework solutions, study guides, notes etc.

MTH 221 Week 1 Individual Assignment Selected Textbook Exercises Complete 10 questions below. Please review the rubric posted in week 1 for math problems. Submit to your assignment tab. Submit a certificate of originality for this assignment. Ch. 1 of Discrete and Combinatorial Mathematics Supplementary Exercises 1, 2a Ch. 2 of Discrete and Combinatorial Mathematics Exercise 2.1, problem 2 Exercise 2.2, problem 2 Exercise 2.3, problem 4 Exercise 2.4, problem 1 Exercise 2.5, problem 1 Ch. 3 of Discrete and Combinatorial Mathematics Exercise 3.1, problem 1 Exercise 3.2, problem 3a Exercise 3.3, problem 1 MTH 221 Week 1 DQS DQ 1 Consider the problem of how to arrange a group of n people so each person can shake hands with every other person. How might you organize this process? How many times will each person shake hands with someone else? How many handshakes will occur? How must your method vary according to whether or not n is even or odd? DQ 2 There is an old joke that goes something like this: “If God is love, love is blind, and Ray Charles is blind, then Ray Charles is God.” Explain, in the terms of first-order logic and predicate calculus, why this reasoning is incorrect DQ 3 There is an old joke, commonly attributed to Groucho Marx, which goes something like this: “I don’t want to belong to any club that will accept people like me as a member.” Does this statement fall under the purview of Russell’s paradox, or is there an easy semantic way out? Look up the term fuzzy set theory in a search engine of your choice or the University Library, and see if this theory can offer any insights into this statement DQ 4 After reading Chapter 1 in our ebook, what is the difference between combinations and permutations? What are some practical applications of combinations? Permutations? MTH 221 Week 2 Individual Assignment Selected Textbook Exercises  Complete 10 questions below. Please review the rubric posted in week 1 for math problems. Submit to your assignment tab. Submit a certificate of originality for this assignment. Ch. 4 of Discrete and Combinatorial Mathematics Exercise 4.1, problem 5a Exercise 4.2, problem 18a Ch. 4 of Discrete and Combinatorial Mathematics Exercise 4.3, problem 4 Exercise 4.4, problem 1a Ch. 5 of Discrete and Combinatorial Mathematics Exercise 5.1, problem 4 Exercise 5.2, problem 4 Exercise 5.3, problem 1a Exercise 5.4, problem 13a Ch. 5 of Discrete and Combinatorial Mathematics Exercise 5.7, problem 1a Exercise 5.8, problem 5a MTH 221 Week 2 Team Selected Textbook Exercises Complete 3 questions below. Please review the rubric posted in week 1 for math problems. Have one team member submit to their assignment tab. Submit a certificate of originality for this assignment. Ch. 4 of Discrete and Combinatorial Mathematics Exercise 4.3, problems 12a, & 15 Ch. 5 of Discrete and Combinatorial Mathematics Exercise 5.1, problem 8 MTH 221 Week 2 DQS DQ 1 · Describe a situation in your professional or personal life when recursion, or at least the principle of recursion, played a role in accomplishing a task, such as a large chore that could be decomposed into smaller chunks that were easier to handle separately, but still had the semblance of the overall task. Did you track the completion of this task in any way to ensure that no pieces were left undone, much like an algorithm keeps placeholders to trace a way back from a recursive trajectory? If so, how did you do it? If not, why did you not? DQ 2 · Describe a favorite recreational activity in terms of its iterative components, such as solving a crossword or Sudoku puzzle or playing a game of chess or backgammon. Also, mention any recursive elements that occur. DQ 3 · Using a search engine of your choice, look up the term one-way function. This concept arises in cryptography. Explain this concept in your own words, using the terms learned in Ch. 5 regarding functions and their inverses. DQ 4 · A common result in the analysis of sorting algorithms is that for n elements, the best average-case behavior of any sort algorithm—based solely on comparisons—is O(n log n). How might a sort algorithm beat this average-case behavior based on additional prior knowledge of the data elements? What sort of speed-up might you anticipate for such an algorithm? In other words, does it suddenly become O(n), O(n log n) or something similar? MTH 221 Week 3 Individual Assignment Selected Textbook Exercises Complete 10 questions below. Please review the rubric posted in week 1 for math problems. Submit to your assignment tab. Submit a certificate of originality for this assignment. Ch. 7 Exercise 7.1, problems 5a, 6 Exercise 7.2, problem 2 Exercise 7.3, problems 1, 6a Ch. 7 Exercise 7.4, problems 1a, 2a Ch. 8 Exercise 8.1, problems 4, 12 Exercise 8.2, problem 4 MTH 221 Week 3 Team Selected Textbook Exercises Complete 3 questions below. Please review the rubric posted in week 1 for math problems. Have one team member submit to their assignment tab. Submit a certificate of originality for this assignment. Ch. 7 Exercise 7.4, problems 12a, & 13 Ch. 8 Exercise 8.1, problem 20 MTH 221 Week 3 DQS DQ 1 · What sort of relation is friendship, using the human or sociological meaning of the word? Is it necessarily reflexive, symmetric, antisymmetric, or transitive? Explain why or why not. Can the friendship relation among a finite group of people induce a partial order, such as a set inclusion? Explain why or why not. DQ 2 · Look up the term axiom of choice using the Internet. How does the axiom of choice—whichever form you prefer—overlay the definitions of equivalence relations and partitions you learned in Ch. 7? DQ 3 · How is the principle of inclusion and exclusion related to the rules for manipulation and simplification of logic predicates you learned in Ch. 2? DQ 4 · In Example 7.36, the author provides an example using PERT. MS Project is a software program for project management. How do you think the programmers of MS Project apply the learning in Chapter 7 to their algorithms? MTH 221 Week 4 Individual Assignment Selected Textbook Exercises Complete 10 questions below. Please review the rubric posted in week 1 for math problems. Submit to your assignment tab. Submit a certificate of originality for this assignment. Ch. 11 of Discrete and Combinatorial Mathematics Exercise 11.1, problems 3, 11 Ch. 11 of Discrete and Combinatorial Mathematics Exercise 11.2, problem 4 Exercise 11.3, problem 5a Exercise 11.4, problem 3a Exercise 11.5, problem 2 Ch. 12 of Discrete and Combinatorial Mathematics Exercise 12.1, problem 2 Exercise 12.2, problem 6 Exercise 12.3, problem 2 Exercise 12.5, problem 1 MTH 221 Week 4 Team Selected Textbook Exercises Complete 4 questions below. Please review the rubric posted in week 1 for math problems. Have one team member submit to their assignment tab. Submit a certificate of originality for this assignment. Ch. 11 of Discrete and Combinatorial Mathematics Exercise 11.1, problems 6, & 16a Ch. 12 of Discrete and Combinatorial Mathematics Exercise 12.1, problems, 7, & 11                                         

MTH 221 Week 4 DQS DQ 1 · Random graphs are a fascinating subject of applied and theoretical research. These can be generated with a fixed vertex set V and edges added to the edge set E based on some probability model, such as a coin flip. Speculate on how many connected components a random graph might have if the likelihood of an edge (v1,v2) being in the set E is 50%. Do you think the number of components would depend on the size of the vertex set V? Explain why or why not. DQ 2 · You are an electrical engineer designing a new integrated circuit involving potentially millions of components. How would you use graph theory to organize how many layers your chip must have to handle all of the interconnections, for example? Which properties of graphs come into play in such a circumstance? DQ 3 · Trees occur in various venues in computer science: decision trees in algorithms, search trees, and so on. In linguistics, one encounters trees as well, typically as parse trees, which are essentially sentence diagrams, such as those you might have had to do in primary school, breaking a natural-language sentence into its components—clauses, subclauses, nouns, verbs, adverbs, adjectives, prepositions, and so on. What might be the significance of the depth and breadth of a parse tree relative to the sentence it represents? If you need to, look up parse tree and natural language processing on the Internet to see some examples. DQ 4 · In Section 12.4 we learn about the Merge Sort algorithm; it is more efficient that the Bubble sort we learned about in Chapter 10. Doing some research on the Internet can you find a sorting algorithm more efficient than the Merge Sort? If you find one please describe it and list your reference. MTH 221 Week 5 Individual Assignment Selected Textbook Exercises Complete 5 questions below. Please review the rubric posted in week 1 for math problems. Submit to your assignment tab. Submit a certificate of originality for this assignment. Ch. 15 of Discrete and Combinatorial Mathematics Exercise 15.1, problems 1a, 2a,4a, 9, & 12 MTH 221 Week 5 Learning Team Research Presentation Submit the final Research Presentation. Please review the rubric posted in week 1 for the team project Have one team member submit to their assignment tab Submit a certificate of originality for this assignment MTH 221 Week 5 DQS DQ 1 · How does Boolean algebra capture the essential properties of logic operations and set operations? DQ 2 · How does the reduction of Boolean expressions to simpler forms resemble the traversal of a tree, from the Week Four material? What sort of Boolean expression would you end up with at the root of the tree? DQ 3 · The introduction of Chapter 15 in your book introduces you to two founders of Boolean algebra and its applications (Boole and Shannon). After performing some research, share with the class some practical applications of Boolean algebra. Please cite your source. DQ 4 · In review of the material you have learned over the past 5 weeks which element has made the biggest impression on you? What element do you think you can use in future work or school applications?

Get MTH 221 entire course :

https://www.justquestionanswer.com/homework-solution-details/58380/mth-221-entire-course-university-of-phoenix

[aneddoticamagazinestuff]

Universal Language of Symbols and Terms Aided by Computer

New Post has been published on https://www.aneddoticamagazine.com/universal-language-of-symbols-and-terms-aided-by-computer/

Universal Language of Symbols and Terms Aided by Computer

ANNOUNCEMENT OF ULSTAC

(Universal Language of Symbols and Terms Aided by Computer)

Dear Readers, we are plesed to announce we have under consideration ULSTAC, a constructed written and spoken language that could become universal because of its facility in learning and its precision in writing and spelling.

ULSTAC is a formal logic language with rules for good reasoning, writing, and speaking.

This work is intended to formulate a set of logic rules for good reasoning and easiest sentence construction in writing and speaking; it uses diacritics symbols ( mathematical and logic), and scientific and common terms.

With such symbols we can construct a universal formal language using any lexicon, terms natural (English, Chinese, Spanish, etc.), or constructed. Such a formal language is intended for being the easiest and most reliable we can imagine.

Every element of speech is enclosed into a diacritic (distinctive, functional) symbol such as ( ) for action, etc., which indicates its function in the speech that computers will translate into understandable sounds. No exception, and no duplications such as in natural languages. Therefore ULSTAC will be extremely easy in learning, writing, and speaking.

This set of rules is not intended for literary purposes, but for an easier communicative language. Literature, such as expressions of feelings is more pertinent to natural languages and their grammar and syntax.

The rules stated in this language are essentially related to logic, mathematics and science reasoning, aided by computer.

How do languages originate?

As natural languages originated by the human power of controlling sounds, so ULSTAC originates by the computer power of controlling, understanding, and translating symbols.

ULSTAC‘s phonetics shall be expressed as per the International Phonetic Alphabet (IPA), and all terms used shall sound like in their original language.

EXAMPLES OF EXISTING UNIVERSAL LANGUAGES

Music

Painting

Sculpture

Mathematics

Logic

Semantics

Mimicry

Any further medium for communicating human thought intelligible with no further intermediation.

  FORMAL LOGIC RULES

Logics used in ULSTAC clauses, sentences, and statements, following its appropriate semantics, or function shall be:

Formal logic, i.e. valid inference, vs. Informal logic, i.e. natural language

Symbolic logic (propositional/predicate)

Mathematical logic (Model theory, Set theory, Recursion, etc.)

First Order Logic

Second Order Logic

Many sorted logic

Infinitary logic

CLASSICAL LOGIC

Syllogism

Boolean

Frege’s logic

NON-CLASSICAL LOGIC

Fuzzy – Many-valued logic

Intuitionistic

Temporal

Linear

Modal (Doxastic; Dinamic; Interpretability; Provability; Regular)

Para-consistent

Relevance

Linear

Non-monotic

Computability

Descriptional/Propositional/Hybrid

Interior/Algebraic

Kripte’s Semantic.

LEXICON

Diacritic symbols of mathematics, science, and logic, pluscommon terms, aided by computer.

ULSTAC’s Lexicon will do a large use of terms coming from Greek ad Latin, because they are intelligible in most languages such as French, Italian, Spanish, Portuguese, English, and German too. Further, many English terms will be of current use, because nowadays they are to be considered as proper terms of most languages.

RULES

Rules of LUSTAC refer to good reasoning, the elements of a sentence, and the easiest and best sentence construction. Examples are given for each element of a sentence and best practices for constructing good reasoning.

A constructed language, contrary to any natural language, shall be based on the following criteria:

Simplicity

Extreme Precision

Absence of duplications

Correct use of logic

No redundancy

No exception to rules.

OPEN COLLABORATION

Everybody, since now, is welcomed to collaborate with us.

Responsible for this program is Enrico Furia. Please address to him any your suggestion, comment, action.

Thanks in advance.

10th March 2016

Enrico Furia

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[craigbrownphd]

If you did not already know

Agglomerative Info-Clustering An agglomerative clustering of random variables is proposed, where clusters of random variables sharing the maximum amount of multivariate mutual information are merged successively to form larger clusters. Compared to the previous info-clustering algorithms, the agglomerative approach allows the computation to stop earlier when clusters of desired size and accuracy are obtained. An efficient algorithm is also derived based on the submodularity of entropy and the duality between the principal sequence of partitions and the principal sequence for submodular functions. … TensOrMachine Boolean tensor decomposition approximates data of multi-way binary relationships as product of interpretable low-rank binary factors, following the rules of Boolean algebra. Here, we present its first probabilistic treatment. We facilitate scalable sampling-based posterior inference by exploitation of the combinatorial structure of the factor conditionals. Maximum a posteriori decompositions feature higher accuracies than existing techniques throughout a wide range of simulated conditions. Moreover, the probabilistic approach facilitates the treatment of missing data and enables model selection with much greater accuracy. We investigate three real-world data-sets. First, temporal interaction networks in a hospital ward and behavioural data of university students demonstrate the inference of instructive latent patterns. Next, we decompose a tensor with more than 10 billion data points, indicating relations of gene expression in cancer patients. Not only does this demonstrate scalability, it also provides an entirely novel perspective on relational properties of continuous data and, in the present example, on the molecular heterogeneity of cancer. Our implementation is available on GitHub: https://…/LogicalFactorisationMachines. … HARVEST Algorithm Feature selection with high-dimensional data and a very small proportion of relevant features poses a severe challenge to standard statistical methods. We have developed a new approach (HARVEST) that is straightforward to apply, albeit somewhat computer-intensive. This algorithm can be used to pre-screen a large number of features to identify those that are potentially useful. The basic idea is to evaluate each feature in the context of many random subsets of other features. HARVEST is predicated on the assumption that an irrelevant feature can add no real predictive value, regardless of which other features are included in the subset. Motivated by this idea, we have derived a simple statistical test for feature relevance. Empirical analyses and simulations produced so far indicate that the HARVEST algorithm is highly effective in predictive analytics, both in science and business. … Affinity In the field of social networking services, finding similar users based on profile data is common practice. Smartphones harbor sensor and personal context data that can be used for user profiling. Yet, one vast source of personal data, that is text messaging data, has hardly been studied for user profiling. We see three reasons for this: First, private text messaging data is not shared due to their intimate character. Second, the definition of an appropriate privacy-preserving similarity measure is non-trivial. Third, assessing the quality of a similarity measure on text messaging data representing a potentially infinite set of topics is non-trivial. In order to overcome these obstacles we propose affinity, a system that assesses the similarity between text messaging histories of users reliably and efficiently in a privacy-preserving manner. Private texting data stays on user devices and data for comparison is compared in a latent format that neither allows to reconstruct the comparison words nor any original private plain text. We evaluate our approach by calculating similarities between Twitter histories of 60 US senators. The resulting similarity network reaches an average 85.0% accuracy on a political party classification task. … https://bit.ly/3l1XVSK

[generalstrangereagle-blog]

class 9 operators chapter in java

CLASS 9 Chapter 4 : Operators in Java

We use Operators to perform operations on variables and values. Operators are represented by symbols. The variables and values on which operators perform operation are called operands. Let’s look at this code snippet:

int x = a + 10;

Here, plus sign is the operator, the variable a and the literal value 10 are operands.

Forms of Operators

Depending on the number of operands an operator operates upon, we classify them into 3 forms:

1.     Unary

Binary

Ternary

Unary Operators work on a single operand, binary on 2 operands and ternary on 3 operands. Most of the operators in Java are binary, a few are unary. There is only one ternary operator in Java.

Types of Operators

Based on the type of operation performed by the operator, we can group them into the following types:

1.     Arithmetic

Relational

Logical

Assignment

Bitwise

We will look at Arithmetic, Relational, Logical and Assignment type of operators. As Bitwise operators are not included in ICSE syllabus, so they are out of scope for this course.

Basic Arithmetic Operators

We use Arithmetic operators to perform common mathematical operations. Operands of Arithmetic operators must be of numeric type. This implies that Arithmetic operators can operate on byte, short, int, long, float, double and char. But they cannot operate on boolean.

This table lists all the different Arithmetic operators in Java:

Operator

Name

Description

Example

Unary +

Unary Plus

Returns value of the operand

+x

Unary -

Unary minus

Returns negated value of the  operand

-x

+

Addition

Adds together two values

x + y

-

Subtraction

Subtract one value from  another

x - y

*

Multiplication

Multiplies two values

x * y

/

Division

Divides one value from  another

x / y

%

Modulus

Returns the division  remainder

x % y

++

Increment

Increases the value of a  variable by 1

++x or x++

--

Decrement

Decreases the value of a  variable by 1

--x or x--

The first six - Unary Plus, Unary Minus, Addition, Subtraction, Multiplication and Division are the same as in algebra.

Let’s look at a BlueJ program to see these operators in action:

public class BasicArithmeticOperators

{

   public  static void main(String args[]) {

       /*

        * Addition operator adds both

        * of its operands 10 and 10

        * to give the result as 20

        */

       int a = 10 + 10;        

       /*

        * Multiplication operator

        * multiplies its first

        * operand which in this

        * case is the variable a

        * with its second operand

        * which is the integer

        * literal 3 to give the

        * result as 60

        */

        int b = a * 3;

        /*

        * Division operator divides

        * its first operand with

        * second so b which has a

        * value of 60 is divided by  

        * 4 to give the result as 15

        */

       int c = b / 4;

       /*

        * Subtraction operator subtracts

        * the second operand from the

        * first so a is subtracted from

        * c to give the result as -5

        */

       int d = c - a;        

       /*

        * Unary Minus operator negates  

        * the value of its operand.

        * d has the value of -5.

        * On negation it becomes 5

        * and gets assigned to e

        */

       int e = -d;        

       System.out.println("a = " + a);

       System.out.println("b = " + b);

       System.out.println("c = " + c);

       System.out.println("d = " + d);

       System.out.println("e = " + e);

   }

}

Please run the program and see the output.

The modulus operator computes the remainder of a division operation. Let’s look at a BlueJ program to understand its usage:

public class ModulusOperator

{    public static  void main (String args[]) {        

       /** Modulus operator computes

        * the remainder of a

        * division operation.

        */        

       int a = 59;

       double b = 59.75;        

       System.out.println("a % 10 = " + a % 10);

       System.out.println("b % 10 = " + b % 10);

   }}

Increment and Decrement Operators

Increment and decrement operators are unary operators, they operate on only one operand.The increment operator ++ adds 1 to the value of its operand and the decrement operator -- subtracts 1 from the value of its operand. The statement

a = a + 1;

can be rewritten using increment operator like this:

a++;

Similarly, this statement:

a = a - 1;

can be rewritten using decrement operator like this:

a--;

The increment and decrement operators have a special property unique to them. We can use them in postfix form where they follow the operand. We used this form in the example above. We can also use them in prefix form where they precede the operand.

Prefix and Postfix Increment and Decrement Operators

Let’s look at the below BlueJ program to understand the Prefix form of these operators:

public class PrefixIncrement

{    public static void main(String args[]) {

       int a = 99;

       /*

        * With Prefix increment

        * first a is incremented

        * to 100. After that

        * a is assigned to b

        */

       int b = ++a;

       System.out.println("a = " + a);

       System.out.println("b = " + b);

   }

}

Prefix form follows the CHANGE-THEN-USE rule. The prefix increment operator which we applied to a, will first increment the value of a by 1, making its value 100. After the increment, the incremented value of a gets assigned to b. Once the two statements finish executing, both a and b will have the value of 100.

Now let’s look at the postfix form:

public class PostfixIncrement

{    public static  void main(String args[]) {

       int a = 99;

       /*

        * With Postfix increment

        * first a is assigned to

        * b. After that a is

        * incremented

        */

       int b = a++;

       System.out.println("a = " + a);

       System.out.println("b = " + b);

   }

}

Postfix form follows the USE-THEN-CHANGE rule. In the postfix case, first the original value of a which is 99 gets assigned to b. After the assignment, the postfix increment operator increments the value of a to 100. Once the two statements finish executing, a will have the value of 100 and b will have the value of 99.

Prefix and Postfix Decrement operators work in a similar way to their Increment counterparts. Instead of increasing the value, they decrease the value by 1.

Assignment and Shorthand Operators We use Assignment operators to assign values to variables.

int x = 10;

In the above statement, we use the assignment operator ( = ) to assign the value 10 to x.

Shorthand Operators

Statements like this:

a = a + 10;

are used a lot in programs. Java provides shorthand operators to combine the arithmetic and assignment operator into a single operator and write the above statement like this:

a += 10;

Both these statements are equivalent. They add 10 to a and assign the value back to a. The second statement uses the shorthand operator and is a little simple and saves a bit of typing.

There are shorthand operators for all arithmetic binary operators. The table below lists some of the shorthand operators in Java:

Operator

Example

Same As

+=

x += 5

x = x + 5

-=

x -= 5

x = x - 5

*=

x *= 5

x = x * 5

/=

x /= 5

x = x / 5

%=

x %= 5

x = x % 5

Let’s look at a BlueJ program to see some examples of Shorthand operator’s usage:

public class ShorthandOp

{

   Public static void main(String args[]) {        

       int x = 10, y = 20, z = 30;        

       x += 20;    //Same as x = x + 20

       y *= 3;     //Same as y = y * 3

       z -= 15;    //Same as z = z - 15                                                                                

       z += x * y; //Same as z = z + (x * y)

       z %= 7;     //Same as z = z % 7        

       System.out.println("x = " + x);

       System.out.println("y = " + y);

       System.out.println("z = " + z);

   }

}

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