#Dynamic Data Development AG
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literaryvein-reblogs · 5 months ago
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Hi! Hope you're doing well 🌟
Do you have any advice on how to write ten year olds? Like, not physically but emotionally. One of my main characters is ten years old and I wanna make sure I get it right, sometimes I feel like I'm giving him the emotional maturity of the characters that surround him that are in their 20s and 30s but idk ://
Writing Notes: Emotional Development
Emotional Development
Also called affective development.
A gradual increase in the capacity to experience, express, and interpret the full range of emotions and in the ability to cope with them appropriately.
Cortical control, imitation of others, hormonal influences, home atmosphere, and conditioning play major roles in emotional development.
It is nearly impossible to imagine emotional development as separate from changes in cognitive development that occur in the first two decades of life.
As memory and thinking become more complex and abstract, emotional development changes as well.
Similarly, markers of emotional development are intimately linked to a child’s social experiences.
The following examples are major markers of change in emotional development as they occur within a social context.
Emotional competence (7 to 10 years). Emotion expressions are used to manage relationship dynamics, such as smiling at a new friend (Saarni & Camras, 2022).
Emotion regulation (infancy through adulthood). Emotion regulation strategies are processes used to monitor, evaluate, and modify our emotional reactions in order to achieve a goal. Strategies become more sophisticated from extrinsically based regulation in infancy to more intrinsically based regulation from preschool-age through adulthood (Eisenberg et al., 2010; Thompson & Goodvin, 2007).
8 to 9 years: Cognitive emotion regulation strategies emerge, and children begin to use thoughts and feelings about themselves and others to control their emotions (Garnefski et al., 2007).
The ability to regulate our emotions is one of the most important skills for learning, social relationships, and mental health. 
Adolescence - The period of human development that starts with puberty (10–12 years of age) and ends with physiological maturity (approximately 19 years of age), although the exact age span varies across individuals.
During this period, major changes occur at varying rates in physical characteristics, sexual characteristics, and sexual interest, resulting in significant effects on body image, self-concept, and self-esteem.
Major cognitive and social developments take place as well: Most young people acquire enhanced abilities to think abstractly, evaluate reality hypothetically, reconsider prior experiences from altered points of view, assess data from multiple dimensions, reflect inwardly, create complex models of understanding, and project complicated future scenarios.
Adolescents also increase their peer focus and involvement in peer-related activities, place greater emphasis on social acceptance, and seek more independence and autonomy from parents.
How Emotions Develop in Adolescence
Once self-conscious emotions such as guilt, embarrassment, and shame emerge in middle childhood, very few new emotions develop. Adolescents’ cognitive skills to reason about abstract concepts improve their ability to manage and reason about their own emotions and improve emotional competence in relationships (Rosenblum & Lewis, 2006).
Research on adolescent emotional development shows how emotions change during this time of rapid physical development.
Emotion Expression. Emotion expression in adolescence differs from that in childhood and adulthood. Adolescents report experiencing greater extremes of emotion and more negative mood states than adults. Adolescent emotional experiences are reported to include less happiness than during childhood (Rosenblum & Lewis, 2006).
Emotional Dissemblance. Emotional dissemblance is the ability to separate one’s emotional expressions from one’s internal feelings. Children learn how to control the emotions they display in order to avoid negative outcomes. During adolescence, teens begin to display expressions according to the norms of adult interaction (Rosenblum & Lewis, 2006); for example, the ability to outwardly display a facial expression of congratulations to a competitor immediately after a tough loss, while feeling intense emotion internally.
Emotional Competence. A successful transition to adulthood is associated with increased emotional competence across several skills during adolescence; for example, learning to regulate intense emotions, knowing how to attend to emotions without becoming overwhelmed by them, and learning how to manage interpersonal relationships in the midst of intense emotions (Rosenblum & Lewis, 2006).
Emotional Maturity - A high and appropriate level of emotional control and expression.
Prerequisites for Developing Emotional Maturity
Emotional maturity is a skill that can be nurtured and developed through psychoeducation, therapy, and coaching (Kaur et al., 2015).
Possessing or developing the following characteristics provides the foundation for developing emotional maturity:
Personal Reflection & Self-Awareness. Self-awareness and a willingness to reflect on one’s emotions and behaviors are crucial for the growth and development of emotional maturity (Herwig et al., 2010).
Openness to Feedback. Personal growth and emotional maturity are dependent on our willingness to accept and learn from constructive criticism (McEnrue et al., 2009).
Commitment to Growth. Personal growth is hard work and requires a dedication to ongoing personal development and emotional learning (Bauer & McAdams, 2004).
Empathy. The ability to identify, interpret, and share the feelings of others is integral to emotional maturity (McNaughton, 2016).
Resilience. All personal growth requires the capacity to recover quickly from difficulties and adapt to change (Still, 2023).
Sources: 1 2 3 ⚜ More: Notes & References ⚜ Writing Resources PDFs
There are some children who exhibit the same (or almost similar) level of emotional maturity of adults surrounding them, depending on the circumstances. Consider these notes and incorporate which ones are most suitable for your own story. Hope you're doing well yourself, and that this helps with your writing! :)
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bellejolras · 1 year ago
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i don’t mean to go on a rant but I’ve been reading reviews of Poor Things bc i hate being happy and ohhhh my goddddd
spoilers under the cut but I have complaints about people’s (lack of) media literacy
Oh my god okay so first of all, if you haven’t seen a movie how are you going to comment on it. Reading summaries and other people’s reviews only is not sufficient to make an original point. you do not know what you’re talking about. just stop.
Second, the movie is. satirical. Which I thought was obvious from the absurd premise and surreal visuals? This is not supposed to be the real world. Nor is it advocating for all the stuff it shows. In fact, it’s even actively indicting some of what it shows. For example: fucked up power dynamics in sexual relationships exist in the movie, but the movie is not saying they are good, it’s criticizing them. Is this not getting through to people?
Third, and related, it’s not ! just ! about ! a sexy baby !! Partly because again, satire. But also partly because she rapidly goes through childhood & adolescent maturity. And it’s not meant to be, like, linear… the regular laws of empirical data and science do not apply to this world… so she is not in fact, like 6 when she’s having sex but more like 16. Which you could argue is still a minor, and im not disputing that, because again the movie is critical of this part and duncan is a total loser. But there’s a massive difference between the mental development of those two ages. ALSO there’s literally nothing inherently wrong with baby bella autonomously discovering masturbation. That’s extremely normal for little kids, often just as a way of self-soothing because it feels nice and not with any awareness of sexuality. And it’s fine if you thought that was a weird scene! but it’s hardly pedophilia to include in the film when the “baby” in question is in fact played by fully grown adult emma stone and I cannot believe that I’m seeing people accuse this movie of that
Fourth, if you claim your takeaway from this movie is “it wants me to believe that women’s power only exists through their sexuality” then I don’t believe you’ve seen the entire movie (see point 1). Narratively it’s only a means to an end for Bella, and when she gets tired of it, she stops! She gets bored of duncan and reads philosophy! She leaves her sex work career and becomes a medical professional! And, even in the sex scenes, while there are many, they center her and her experience, her pleasure. Yes, her tits are out a lot but the sex scenes are weird, intentionally grotesque without being violent. The montage with duncan is shot through a fisheye lens and literally pans away from the bed to focus on a bird landing in the room. Duncan can proclaim himself the best lover in the world, but he’s really not important to the scene ¯\_(ツ)_/¯
In conclusion, I know the people I’m complaining about aren’t going to read this, but just in case, I urge you to learn media literacy. And anyone else who read all of this, thanks lol!! accepting good faith discourse in the notes/replies
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justinspoliticalcorner · 2 months ago
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Rachel Janfaza at Politico:
New data out of Yale’s Youth Poll broke the internet last week when it revealed a partisan split within Gen Z. Given a generic Democrat vs. Republican ballot for 2026, respondents ages 18-21 supported Republicans by nearly 12 points, while those ages 22-29 backed Democrats by about 6 points. It was a stunning gap that undermined the longstanding notion of younger voters always trending more liberal. On the contrary, today’s youngest eligible voters are more conservative than their older counterparts: According to the poll, they are less likely to support transgender athletes participating in sports, less likely to support sending aid to Ukraine and more likely to approve of President Donald Trump. Fifty-one percent of younger Gen Zers view him favorably, compared to 46 percent of older Gen Z. That split might seem surprising, but it’s only the latest example of an emerging dynamic I’ve noticed developing over the last few years: It’s increasingly clear that there are actually two different Gen Z’s, each with a particular political worldview.
Since just after the 2022 midterm elections, I’ve held listening sessions — open-forums for discussion — with teens and young adults across the country to find out how young people think and feel about politics. I’ve traveled to high school and college campuses, community centers and even homes. And as I’ve written before, these conversations with young people illuminated the distinctions between Gen Z 1.0 and Gen Z 2.0.
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Gen Z 1.0, the older segment, graduated high school and tasted independence prior to the start of the Covid-19 pandemic. Their coming of age coincided with Trump’s first term in office and the rise of anti-Trump resistance movements for racial justice and gender equity. Social media apps like Instagram and Snapchat, with all their filters and made-for-social media aesthetics, were commonplace — but TikTok wasn’t yet the massively popular platform it is today. Fast forward to 2020 through today, and those in Gen Z 2.0 came of age under different circumstances. They graduated high school during or after the start of the pandemic, which disrupted their K-12 experience. When many in this cohort began college, it was largely on Zoom, or in a campus environment that barely resembled pre-pandemic times. The political situation was also starkly different: With President Joe Biden in office, Trump and his MAGA movement felt like the counterculture — especially for young men, who swung hard to the right.
Indeed, gender played a prominent role in shaping the youth vote in 2024. An analysis by Blue Rose Research found a 20-point gender gap in Democratic support between men and women ages 25 and younger — the largest such gender gap in any generation by far. “It’s normal to see women supporting Democratic candidates at like a five- to 10-point higher rate than men do,” said Ali Mortell, Blue Rose’s research director. “Among the youngest cohort of Gen Z, it’s north of 20 points. So this is really jarring, and I think, caught the Democratic Party somewhat flat-footed.”
That gender gap has attracted a lot of media attention, but the headlines gloss over some important nuances. While young men turbo-charged Trump’s success in November, they’re not the only Gen Zers shifting right. Despite the overall gender gap, the Yale poll found that, while women ages 22-29 have a net-negative favorability of Trump, those ages 18-21 are more supportive of him, roughly split between a favorable and unfavorable view of the president. Young white women in particular are trending more conservative. Data from Tufts University’s Center for Information & Research on Civic Learning and Engagement (CIRCLE) shows that, while women of color ages 18-29 overwhelmingly supported former Vice President Kamala Harris, young white women were split between Harris and Trump, 49 percent to 49 percent. That’s a huge jump from 2020, when, according to CIRCLE’s data, young white women voted for President Joe Biden over Trump by a 15-point margin.
That could be in part because some of the most formative experiences separating Gen Z 1.0 and 2.0 cut across gender — the most obvious being the pandemic. “We’ve definitely been cognizant that there feels like there’s a change between the kids who got through high school before and after Covid,” said Jack Dozier, the 19-year-old deputy director of the Yale survey. “There is a huge variation that came up between just the college-age young adults, and then the young adults who are over 22.”
In my own research, I started to hear about Covid’s impact in conversations with young Americans in 2022. Throughout history, young people haven’t liked being told what to do, and for many younger Gen Zers, the pandemic restrictions chafed against their youthful discomfort with authority. At first, they expressed annoyance with what they saw as prolonged social distancing on campuses that impacted the student experience. As one 20-year-old told me in a listening session at the end of March: “The adults don’t have it all together, and they don’t have my back.” When students finally went back to school, they complained about the policing of their behavior — not just regarding Covid protections like social distancing and masking, but also broader issues around language. Our national online discourse, these young people said, had adopted an overt political correctness and cancel culture – the tendency, particularly in online spaces, to denounce others for controversial statements or action. Many young people perceived this as promoted by Democrats — those in control, not just in D.C., but in pop-culture and on social media.
[...] “Young people are not only consuming digital media content, non-traditional sources at much higher rates than older generations, but they’re increasingly getting their news from non-political, non-traditional sources,” Mortell told me. But she took it one step farther: “We are seeing this very clear relationship between defection away from the Democratic Party and TikTok consumption.” The rapid onset of TikTok encapsulates the head-spinning pace of change younger Gen Zers have experienced. There are cleavages within every generation, but perhaps none more so than Gen Z, which has grown up amid the fastest speed of technological and political change in recent memory. When it comes to their politics, time will tell if the rightward shift sticks. Until then, anyone trying to understand this generation’s politics will need to figure out just which Gen Z they’re asking about.
The Yale Youth Poll confirms that there are two Gen Z’s, with the older Gen Z cohort tracking more liberal, and the younger Gen Z cohort, especially young Gen Z men, trending conservative.
We’ll see how this will hold up in a few years.
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horizontwinflames · 2 years ago
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Horizon AU: Twin Flames - Isaac (Zero Dawn Act) final concept/design.
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*texts' transcriptions under the cut after the images*
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REPOST, EDIT/USE OR FEED MY ART TO AI ISN'T ALLOWED
Read about Aloy, Beta and Elisabet in this AU [here]
omg... I thought I would never finish this... BUT YAY! Here it is finally! Isaac's final design and concepts!
This AU has an ongoing fanfic! You can read on Ao3: [LINK]
Text transcription:
First image:
Isaac - Roughly 3.2m/10.4' -Unknown age (probably just a few months).
Isaac is an original machine character in this alternative universe.
Isaac is the loyal machine companion of the Sobeck family, serving as both a traveling and battle mount. The sisters unintentionally created him while trying to figure out a way to increase the machine override time. The process they applied in the -back then- simple Watcher rebooted their AI and programming back to its essential functions and disconnected them from their original master, HEPHAESTUS. Once he received his name from Beta, the three family members became his new masters, which he unthinkingly obey to.
Due to his blank AI, Isaac is developing his own sentience and personality by absorbing his masters’ traits and behaviors and learning their morals and concepts. He also downloaded all of the sisters’ Focuses’ data to have some initial communication and works as a backup, so he only knows what they know.
He can speak with anyone with a Focus through its text-to-speech function by sending text messages to them - thus, people who don’t have a Focus only hear his Watcher noises. He can still communicate with other machines normally, so he also works as an information gatherer to help in missions and studies.
Second image:
Once a simple Watcher, now a super advanced mount and best friend of the Sobeck family.
Isaac's customizable body can adapt him to travel in any terrain, even underwater. He's able to reach high speeds at a low energy and heating cost - he's also lighter than it seems. His sleek, almost snake-ish, body shape makes maneuvering more dynamic for his rider.
His propulsors give him the ability to do long leaps and high jumps, helping the sisters get to places they wouldn't be able to reach by themselves. But a repetitive use of said skills in a short timespan can drain his energy and overheat him quickly.
Like his owners, he's not adept at using one single type of weapon. Isaac's tail ranged weapons and armor can be changed to better adapt to the situation. However, he hasn't developed efficient battle techniques yet, as he's still learning with the Sobecks. Note that his Sawtooth's sabers aren't intended to be used to fight but to climb and carry objects.
Melee Tail Weapons: Thunderjaw's tail, Stalker's tail blade, Stormbird's tail (also used to swim), Frostclaw's front paws.
Ranged Weapons: Thunderjaw's Disk Launcher, Ravager's Cannon, Scorcher's Mine Launcher, Bellowback's Snout.
Armors: Nora (stealth), Carja (speed), Oseran (tank), Banuk (damage), Old World (mixed).
Isaac is a mount adapted for two people: One is the rider, and the other is the cannoneer. He syncs with them through their Focuses, so his responses to their commands are more instantaneous. The rider directs Isaac where to go and when and how to use the tail weapon. Meanwhile, the cannoneer controls the ranged weapons and propulsors.
Only those who have a Focus can see his holographic face. The images shown are a collection of emojis the sisters found in Old World Ruins (which they update when they find more). His three "horns" also can move solemnly to make him more expressive.
Being composed of many different machine parts makes Isaac the first machine chimera to exist - still keeping the base shape of a Watcher, but huge. He was customized by the Sobecks little by little through the Cauldrons they visited on their first journey.
He can still stretch his neck like a Watcher can normally do.
His eye received enhancements to better aid the Sobecks in their daily life and journeys - such as infrared, thermic, and ultrasound visions.
He also has in his head a sound device to play audio files, such as music from the Old World, and a holoprojector.
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covid-safer-hotties · 8 months ago
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Also preserved in our archive (Daily updates!)
by Katherine Kahn
Since early in the COVID-19 pandemic, epidemiologic studiesopens in a new tab or window demonstrated that household transmission was a key driver in the spread of SARS-CoV-2. However, nearly 5 years later, less is known about more nuanced dynamics of SARS-CoV-2 viral transmission in households, particularly in the setting of evolving variants and pre-existing immunity.
Two studies presented at this year's IDWeek annual meetingopens in a new tab or window focused on leveraging genomic analysis to gain a better understanding of whether COVID infections in households represent transmission between household members or the introduction of new infections.
Household density, vaccine status of exposed household members, and individual immunologic factors are all associated with the spread of SARS-CoV-2 among households, said Kathryn Stephenson, MD, MPH, of Harvard Medical School in Boston, during a presentation.
During the Alpha wave, the secondary attack rate for household contacts -- the risk of transmission of SARS-CoV-2 stemming from a household index infection -- was about 36%, dropping to approximately 30% during the Delta wave, but then rising to about 43% during the early Omicron period, as reported in a systematic review and meta-analysisopens in a new tab or window.
Stephenson and her colleagues conducted a small prospective study in the greater Boston area during 2022, enrolling 38 households with a positive SARS-CoV-2 index case, identified on either rapid diagnostic testing or PCR testing.
Over the next 2 weeks after enrollment, 58% of 38 households had a second case develop among household contacts, and, overall, 39% of 66 household contacts tested positive over that time period.
However, in a strict subanalysis in which researchers excluded index cases that were PCR-negative on day 1 or contacts that tested positive on day 1, the secondary attack rate fell to 22.5%.
Furthermore, after performing genomic analysis to identify SARS-CoV-2 lineages with different genetic makeup that could not be caused by infection from the index case, that percentage dropped to 18.4%.
The finding indicated that although the most common source of infection was the index case, there were multiple sources of infection in over half of individual households, Stephenson said. Other sources for those infections likely included new cases introduced from outside the household, shared initial exposures with the index case, and other already infected contacts within the home.
In the larger, ongoing prospective CASCADIA studyopens in a new tab or window, Amanda Casto, MD, PhD, of the University of Washington in Seattle, and colleagues also used genomic analysis to look at the frequency of simultaneous circulation of multiple viral strains in households.
The investigators analyzed genetic data from weekly nasal swabs from children and adults ages 6 to 49 years in households in Seattle and Portland, Oregon between 2022 and 2024.
Of 1,103 households, 67% had at least one SARS-CoV-2 case, and 24% of households had at least one episode in which two or more participants tested positive. Of these, 7% of episodes involved more than one viral lineage, suggesting multiple introduction events.
"Before the widespread availability of viral genome sequence data, chronologically clustered cases in households were often presumed to be all secondary to intra-household transmission," Casto commented. "Now that genetic data are being integrated into a number of epidemiologic studies, there have been a number of observations of the simultaneous circulation of multiple viral lineages in households within a short time."
Of note, Casto and her colleagues found no association with certain household characteristics, including number of children or people in the household, or household income, which were associated with intra-household transmission.
When more than one viral lineage was present, the investigators also found no association with the presence of any children or children under 5 years of age in the household or with children attending daycare. Nor was there any association with location (i.e., households in Oregon vs Washington), any previous household illness episodes, or households living in apartments versus single-family homes.
What can we take away from these two studies? Household contacts of a person newly diagnosed with COVID-19 are certainly at high risk for SARS-CoV-2 infection in the following weeks. However, this may not only be due to heightened risk of transmission between household members, but also -- perhaps not so surprisingly -- to an overall increase in SARS-CoV-2 transmission in the community where different strains may be circulating.
In other words, "infection within the household can serve as a proxy for broader risk for community transmission, emphasizing importance of public health measures inside and outside the home," Stephenson said.
Casto noted that "in the long run, [genomic data] will really help us refine our understanding of the conditions under which intra-household transmission of respiratory viruses occurs and does not occur."
Studies: jamanetwork.com/journals/jamanetworkopen/article-abstract/2774102 jamanetwork.com/journals/jamanetworkopen/fullarticle/2791601 bmjopen.bmj.com/content/13/7/e071446.long
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egypt-museum · 11 months ago
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"This book examines the dynamics around the introduction and spread of helmets and body armour throughout Egypt during the 18th, 19th and 20th Dynasties. It argues that the word 'introduction' is the best term to define this phenomenon because these types of military equipment were not in fact Egyptian technological innovations, but initially appeared at the end of the Bronze Age following the Hurrian expansion in the Middle East before being dispersed throughout the surrounding territories.
The analysis focuses particularly on a survey of iconographic, archaeological and lexicographic attestations from a wide range of surviving material evidence and literary sources.
On the basis of the collated data, it provides as accurate a perspective as possible on how the helmet and the cuirass were introduced and propagated, their impact on warfare and their possible role in ideology across the chronological span of the New Kingdom. Pollastrini also draws productive comparisons between the Egyptian data and contemporary attestations from the Middle East and the Aegean region in order to underpin the 'international' dynamics at play.
In doing so it both encourages a broader ancient-historical perspective that sets New Kingdom Egypt within its contemporary context, and sheds new light on developments in the military history and warfare of the period. "
— Helmets and Body Armour in New Kingdom Egypt, by Alberto Pollastrini
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spacetimewithstuartgary · 6 months ago
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Unveiling the uncharted Milky Way: Completing the galactic stellar map
By peering into the cosmic dance of stars, a team led by researchers from the Leibniz Institute for Astrophysics Potsdam (AIP) has unraveled the complex structure of our Milky Way galaxy. Assuming that each observed star represents a larger population of stars sharing the same orbit, they have reconstructed the properties of these "hidden" stars, filling in gaps in the galactic disk that holds the secrets of our galaxy's past, present, and future.
Our understanding of the galaxy has advanced with every leap in the number of stars. From early observations to more and more advanced space and ground-based telescopes, each milestone has revealed new layers of the galaxy's complex structure and motion. While stellar surveys continue to expand in volume, our view of the Milky Way remains severely obscured, with the vast majority of stars we can study concentrated around the sun.
This discrepancy is largely due to a fundamental limitation of our observations, originating from our position in the central plane of the Milky Way's disk. Our location limits the volume of potentially observable stars, depending on how bright they appear, which is further affected by dust and gas that can block or dim their light, called interstellar medium extinction.
Researchers at the Leibniz Institute for Astrophysics Potsdam (AIP), in collaboration with the University of Vienna and the Paris Observatory, have developed an innovative method to fill the gaps in our understanding of the structure of the Milky Way. They have shown that instead of relying solely on observations of individual stars, the entire orbits of real stars can be used to represent the structure and dynamics of the galaxy.
As stars move around the galactic center, they serve as a tool for mapping regions of the galaxy that are beyond the direct reach of our telescopes, including areas on the other side of the Milky Way. Using a model for the Milky Way's mass distribution and the observed positions and velocities of stars, they not only calculated the orbits of stars but, more importantly, measured how much mass should be associated with each orbit.
Using a novel technique applied to a large sample of stars with spectroscopic parameters from the APOGEE survey, which is part of the Sloan Digital Sky Survey, the researchers have mapped stellar kinematics across the Milky Way. For the first time, they have revealed the intricate motion of stars in the bar region without being hindered by uncertainties in distance measurements.
By reconstructing stellar orbits using real Milky Way stars with accurately determined parameters, the team quantified the galaxy's mass-weighted chemical abundances and age structure. This approach bypasses the challenges posed by the dense inner regions and interstellar medium extinction, delivering a comprehensive view of stellar populations, including previously unobservable areas on the far side of the Milky Way galaxy.
The study has been posted to the arXiv preprint server as a series of three papers.
Sergey Khoperskov, scientist at AIP and first author of the studies, explains, "We can look at this approach from a different perspective. Imagine that for every star we observe, there is a large sample of stars that follow exactly the same orbit but, for various reasons, weren't captured by the survey. What we are doing is reconstructing the positions, velocities and stellar parameters of these invisible stars, filling in the missing pieces of the galaxy's structure."
The new data strongly suggest that the Milky Way galaxy was formed in two distinct phases, manifested by different age-chemical abundance relations. The inner disk, located well within the radius of the sun, formed relatively quickly during the early stages of the galaxy's evolution. About 6–7 billion years ago, the outer disk began to assemble, rapidly expanding the radial extent of the Milky Way and shaping its present structure.
IMAGE: Results of the orbit superposition method. The left panels display the stellar density of orbits with constant weights. The middle panels depict the stellar density reconstructed using weighted orbit superposition where the weights are calculated as the mean across 10 orbit superposition realizations. The rightmost panels illustrate the relative residuals between the orbit superposition reconstruction and gravitational potential-based approximation. Credit: arXiv (2024). DOI: 10.48550/arxiv.2411.15062
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ishijutsu · 1 month ago
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name. shouko ieiri.          nicknames / alias. shou-shou, shou-chan.          location. originally from aomori, the lemieux family settle into tokyo once shouko's adoption is finalized.          ages. six to thirteen years old.          technique. rot & resurrect : the ability to manipulate organic matter on a cellular level via direct contact.          notable cast. quinten lemieux : shouko's adoptive father. elizabeth holmes : shouko's new maternal figure, though the woman focuses on training shouko more than anything else. takeshi kitagawa : shouko's adoptive older brother. mochizuki michi : a fellow orphan. shouko's first victim.          plotting? required. i'm eager to establish dynamics in this verse, though written interaction will most likely be scarce. 
in a world where only the blessed are able to wield techniques*, shouko is cursed with hands that bring death. she's adopted by quinten lemieux, a sensor, who yearns for power and glory. he's amassing a small stock of children with techniques that have been tossed aside. his plan is simple : take them in to train them all, and reap the benefits of their powers. shouko, though barely more than a child when quinten finds her, quickly becomes quinten's protégée -- he finds himself fascinated with not only her technique, but her demeanor as well. she's young but grateful, delighted to learn and eager to do whatever she needs in order to please her new father.
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𝐖𝐇𝐀𝐓 𝐀𝐑𝐄 𝐓𝐄𝐂𝐇𝐍𝐈𝐐𝐔𝐄𝐒? the science behind them is still roughly unknown, due to techniques only rising into a public setting in the early 60s, but certain individuals are born with extra phenotypes resulting in mutated abilities inflicted upon roughly one quarter of the world’s population. the techniques all differ in being mental or physical based, and the development of said technique seems to rest solely on the individual’s shoulders. there seems to be no cap on what an individual’s technique can be or do, but most ( if not all ) individuals with techniques tend to keep to themselves, keep their abilities secret. studies have determined that techniques are not a genetic trait though there’s been public dissent against said studies due to such a small data base. most individuals with techniques are unwilling to reveal themselves to the public, resulting in a private underground community known simply as the league
𝐖𝐇𝐀𝐓 𝐈𝐒 𝐓𝐇𝐄 𝐂𝐎𝐍𝐒𝐎𝐑𝐓𝐈𝐔𝐌? the private underground community made up of individuals with techniques. the community is international, with roots in asia, europe and the americas. public information on the consortium is nearly nothing, due to them being tight lipped. they tend to meet at varying institutes and night markets, all headed by notable members of the league. the hierarchy of the league is a puzzling factor, with no real overarching leader, though there seems to be various factions within the league. the lemieux family acts at the only current public faction of the consortium, though it's rumored that their public appearance has resulted in an upset within the consortium.
𝐓𝐇𝐄 𝐏𝐀𝐍𝐆𝐄𝐀 𝐏𝐑𝐎𝐉𝐄𝐂𝐓. there are whispers of something known as the pangea project, a proposed outline that brings individuals with techniques together, working for the greater good. some whisper about superhero teams, other whisper about collection agencies. the pangea project has yet to find any real footing in the world, as those with techniques tend to stick to their own, being notoriously isolated from not mutated individuals. those belonging to the consortium have rebuked the united nation's attempts at launching the pangea project, though it is rumored that many individual countries have their own, smaller and similar, projects in working order.
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compneuropapers · 9 months ago
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Interesting Papers for Week 41, 2024
Exploration, exploitation, and development: Developmental shifts in decision‐making. Blanco, N. J., & Sloutsky, V. M. (2024). Child Development, 95(4), 1287–1298.
A drift diffusion model analysis of age-related impact on multisensory decision-making processes. Bolam, J., Diaz, J. A., Andrews, M., Coats, R. O., Philiastides, M. G., Astill, S. L., & Delis, I. (2024). Scientific Reports, 14, 14895.
Hippocampus and striatum show distinct contributions to longitudinal changes in value-based learning in middle childhood. Falck, J., Zhang, L., Raffington, L., Mohn, J. J., Triesch, J., Heim, C., & Shing, Y. L. (2024). eLife, 12, e89483.3.
Acquisition of non-olfactory encoding improves odour discrimination in olfactory cortex. Federman, N., Romano, S. A., Amigo-Duran, M., Salomon, L., & Marin-Burgin, A. (2024). Nature Communications, 15, 5572.
Neurofeedback training can modulate task-relevant memory replay rate in rats. Gillespie, A. K., Astudillo Maya, D., Denovellis, E. L., Desse, S., & Frank, L. M. (2024). eLife, 12, e90944.3.
GABAergic synaptic scaling is triggered by changes in spiking activity rather than AMPA receptor activation. Gonzalez-Islas, C., Sabra, Z., Fong, M., Yilmam, P., Au Yong, N., Engisch, K., & Wenner, P. (2024). eLife, 12, e87753.3.
Shifts in attention drive context-dependent subspace encoding in anterior cingulate cortex in mice during decision making. Hajnal, M. A., Tran, D., Szabó, Z., Albert, A., Safaryan, K., Einstein, M., … Orbán, G. (2024). Nature Communications, 15, 5559.
A computational account of transsaccadic attentional allocation based on visual gain fields. Harrison, W. J., Stead, I., Wallis, T. S. A., Bex, P. J., & Mattingley, J. B. (2024). Proceedings of the National Academy of Sciences, 121(27), e2316608121.
Perirhinal cortex learns a predictive map of the task environment. Lee, D. G., McLachlan, C. A., Nogueira, R., Kwon, O., Carey, A. E., House, G., … Chen, J. L. (2024). Nature Communications, 15, 5544.
The neuron as a direct data-driven controller. Moore, J. J., Genkin, A., Tournoy, M., Pughe-Sanford, J. L., de Ruyter van Steveninck, R. R., & Chklovskii, D. B. (2024). Proceedings of the National Academy of Sciences, 121(27), e2311893121.
Bats integrate multiple echolocation and flight tactics to track prey. Nishiumi, N., Fujioka, E., & Hiryu, S. (2024). Current Biology, 34(13), 2948-2956.e6.
Limb-related sensory prediction errors and task-related performance errors facilitate human sensorimotor learning through separate mechanisms. Oza, A., Kumar, A., Sharma, A., & Mutha, P. K. (2024). PLOS Biology, 22(7), e3002703.
Systemic pharmacological suppression of neural activity reverses learning impairment in a mouse model of Fragile X syndrome. Shakhawat, A. M., Foltz, J. G., Nance, A. B., Bhateja, J., & Raymond, J. L. (2024). eLife, 12, e92543.3.
Prefrontal cortical ripples mediate top-down suppression of hippocampal reactivation during sleep memory consolidation. Shin, J. D., & Jadhav, S. P. (2024). Current Biology, 34(13), 2801-2811.e9.
Preferences reveal dissociable encoding across prefrontal-limbic circuits. Stoll, F. M., & Rudebeck, P. H. (2024). Neuron, 112(13), 2241-2256.e8.
Atypical local and global biological motion perception in children with attention deficit hyperactivity disorder. Tian, J., Yang, F., Wang, Y., Wang, L., Wang, N., Jiang, Y., & Yang, L. (2024). eLife, 12, e90313.5.
Temporal information in the anterior cingulate cortex relates to accumulated experiences. Wirt, R. A., Soluoku, T. K., Ricci, R. M., Seamans, J. K., & Hyman, J. M. (2024). Current Biology, 34(13), 2921-2931.e3.
Complexity Matters: Normalization to Prototypical Viewpoint Induces Memory Distortion along the Vertical Axis of Scenes. Wu 吴奕忱, Y., & Li 李晟, S. (2024). Journal of Neuroscience, 44(27), e1175232024.
Co-existence of synaptic plasticity and metastable dynamics in a spiking model of cortical circuits. Yang, X., & La Camera, G. (2024). PLOS Computational Biology, 20(7), e1012220.
Perceptual error based on Bayesian cue combination drives implicit motor adaptation. Zhang, Z., Wang, H., Zhang, T., Nie, Z., & Wei, K. (2024). eLife, 13, e94608.3.
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edumatrixs · 10 days ago
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Unlock Your Creative Potential with a Diploma in Digital Content Creation in Dubai
In today’s rapidly evolving digital world, content is more than just king—it’s the entire kingdom. Whether it’s engaging videos, compelling social media campaigns, or immersive storytelling, the demand for skilled digital content creators has never been higher. That’s where edumatrix steps in with its cutting-edge Diploma in Digital Content Creation in Dubai—a program designed to equip future creators with the skills, tools, and vision needed to thrive in the digital age.
Why Choose a Diploma in Digital Content Creation in Dubai?
Dubai is not only a global hub for business and innovation but also a hotspot for media, marketing, and creative industries. By enrolling in a Diploma in Digital Content Creation in Dubai, you’ll gain access to a vibrant creative economy, hands-on training, and exposure to real-world projects that mirror the demands of the industry.
At edumatrix, our curriculum is curated by experts in media, marketing, and design. From video editing and graphic design to digital storytelling and social media strategy, we cover all facets of content creation. Students will also gain exposure to the latest tools and platforms used by professionals globally.
A Holistic Approach to Learning
Our diploma program goes beyond just technical skills. We emphasize creativity, communication, and strategy, ensuring our graduates can not only create content but also understand the psychology of audiences and the dynamics of digital marketing.
Students benefit from:
Expert-led workshops
Hands-on projects and real-time feedback
Industry-standard software training
Portfolio development for job readiness
Whether you’re a recent high school graduate, a career switcher, or a working professional looking to upskill, this diploma offers a flexible and future-proof path to success.
Expand Your Horizons with edumatrix
While our Diploma in Digital Content Creation in Dubai is one of our flagship programs, edumatrix is also proud to offer a diverse range of professional courses, including:
Hospitality Management Courses UAE Perfect for those looking to build a career in one of the UAE’s most dynamic and customer-focused industries. Our hospitality courses combine theoretical knowledge with real-world internships in leading hotels and resorts.
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As a trusted name in education and professional training in the UAE, edumatrix stands for quality, innovation, and student success. Our mission is to bridge the gap between academic learning and real-world application, empowering learners with relevant skills for today’s job market.
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Step into the world of creativity and innovation with edumatrix’s Diploma in Digital Content Creation in Dubai. Explore your passions, master in-demand skills, and turn your ideas into powerful content that connects, influences, and inspires.
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philosophicalparadox · 13 days ago
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Do you think the age gap between kakaita is significant in their relationship or does itachi’s early maturity been a defense/made such thing unaffecting?
Honestly there’s not much of a gap???
Itachi is 21-22 (he died sometime around or after his 22nd birthday because it was still summer by then; data books say he was 21 when he died tho) and Kakashi is only 24, 25 by the end of the war. That’s 3 whole years. I’m almost that much older than my fiance lol.
In terms of placing their relationship in an AU type setting where they are younger, I can say that it probably wouldn’t matter much to them, or to people around them. Certainly Itachi’s parents aren’t going to complain about the age so much as I think they’d be more disappointed about the fact Kakashi is a boy.
If anything was going to get in the way, though, particularly when younger, maturity would be it. Not because it’s actual maturity but because it’s “false” maturity, rendered from trauma, not brain development. Developmentally, they’re about the same post the 20 year mark, so as adults that’s fine. but they DO have different levels of emotional maturity as people, even as adults, oweing mostly to the fact that Kakashi has friends and Itach…really doesn’t, Kisame notwithstanding. They are friends, per Kisame’s own admission, but it’s a different kind of friendship because they could never be fully honest with each other. Itachi couldn’t be fully honest with anybody but himself.
Kakashi, by contrast, has people to hold him accountable outside of himself, mainly in Gai/Guy and Tenzo, and to a fault Jiraiya and even Naruto. He’s got a separate set of emotional skills and tools at his disposal….
Is one more mature than the other? No, I wouldn’t say so. But they are mature in different ways, and that does affect their dynamic, especially in a romantic context. They’re both a weird mix of hot/cold, loyal/clingy/obsessive and avoidant, and the ways these line up don’t necessarily work all the time.
In short it’s not really a difference in age, or even necessarily maturity, but coping skills. They have different coping skills and tools that sometimes play nice and sometimes do not. It’s part of why I like the ship. It’s got just enough potential for both toothaching fluff and dramatic angst and it’s just 👌
Ty for the ask. :)
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digitaldetoxworld · 24 days ago
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Python Programming Language: A Comprehensive Guide
 Python is one of the maximum widely used and hastily growing programming languages within the world. Known for its simplicity, versatility, and great ecosystem, Python has become the cross-to desire for beginners, professionals, and organizations across industries.
What is Python used for
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🐍 What is Python?
Python is a excessive-stage, interpreted, fashionable-purpose programming language.  The language emphasizes clarity, concise syntax, and code simplicity, making it an excellent device for the whole lot from web development to synthetic intelligence.
Its syntax is designed to be readable and easy, regularly described as being near the English language. This ease of information has led Python to be adopted no longer simplest through programmers but also by way of scientists, mathematicians, and analysts who may not have a formal heritage in software engineering.
📜 Brief History of Python
Late Nineteen Eighties: Guido van Rossum starts work on Python as a hobby task.
1991: Python zero.9.0 is released, presenting classes, functions, and exception managing.
2000: Python 2.Zero is launched, introducing capabilities like list comprehensions and rubbish collection.
2008: Python 3.Zero is launched with considerable upgrades but breaks backward compatibility.
2024: Python three.12 is the modern day strong model, enhancing performance and typing support.
⭐ Key Features of Python
Easy to Learn and Use:
Python's syntax is simple and similar to English, making it a high-quality first programming language.
Interpreted Language:
Python isn't always compiled into device code; it's far done line by using line the usage of an interpreter, which makes debugging less complicated.
Cross-Platform:
Python code runs on Windows, macOS, Linux, and even cell devices and embedded structures.
Dynamic Typing:
Variables don’t require explicit type declarations; types are decided at runtime.
Object-Oriented and Functional:
Python helps each item-orientated programming (OOP) and practical programming paradigms.
Extensive Standard Library:
Python includes a rich set of built-in modules for string operations, report I/O, databases, networking, and more.
Huge Ecosystem of Libraries:
From data technological know-how to net development, Python's atmosphere consists of thousands of programs like NumPy, pandas, TensorFlow, Flask, Django, and many greater.
📌 Basic Python Syntax
Here's an instance of a easy Python program:
python
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def greet(call):
    print(f"Hello, call!")
greet("Alice")
Output:
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Hello, Alice!
Key Syntax Elements:
Indentation is used to define blocks (no curly braces  like in different languages).
Variables are declared via task: x = 5
Comments use #:
# This is a remark
Print Function:
print("Hello")
📊 Python Data Types
Python has several built-in data kinds:
Numeric: int, go with the flow, complicated
Text: str
Boolean: bool (True, False)
Sequence: listing, tuple, range
Mapping: dict
Set Types: set, frozenset
Example:
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age = 25             # int
name = "John"        # str
top = 5.Nine         # drift
is_student = True    # bool
colors = ["red", "green", "blue"]  # listing
🔁 Control Structures
Conditional Statements:
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if age > 18:
    print("Adult")
elif age == 18:
    print("Just became an person")
else:
    print("Minor")
Loops:
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for color in hues:
    print(coloration)
while age < 30:
    age += 1
🔧 Functions and Modules
Defining a Function:
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def upload(a, b):
    return a + b
Importing a Module:
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import math
print(math.Sqrt(sixteen))  # Output: four.0
🗂️ Object-Oriented Programming (OOP)
Python supports OOP functions such as lessons, inheritance, and encapsulation.
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elegance Animal:
    def __init__(self, call):
        self.Call = name
def communicate(self):
        print(f"self.Call makes a valid")
dog = Animal("Dog")
dog.Speak()  # Output: Dog makes a legitimate
🧠 Applications of Python
Python is used in nearly each area of era:
1. Web Development
Frameworks like Django, Flask, and FastAPI make Python fantastic for building scalable web programs.
2. Data Science & Analytics
Libraries like pandas, NumPy, and Matplotlib permit for data manipulation, evaluation, and visualization.
Three. Machine Learning & AI
Python is the dominant language for AI, way to TensorFlow, PyTorch, scikit-research, and Keras.
4. Automation & Scripting
Python is extensively used for automating tasks like file managing, device tracking, and data scraping.
Five. Game Development
Frameworks like Pygame allow builders to build simple 2D games.
6. Desktop Applications
With libraries like Tkinter and PyQt, Python may be used to create cross-platform computing device apps.
7. Cybersecurity
Python is often used to write security equipment, penetration trying out scripts, and make the most development.
📚 Popular Python Libraries
NumPy: Numerical computing
pandas: Data analysis
Matplotlib / Seaborn: Visualization
scikit-study: Machine mastering
BeautifulSoup / Scrapy: Web scraping
Flask / Django: Web frameworks
OpenCV: Image processing
PyTorch / TensorFlow: Deep mastering
SQLAlchemy: Database ORM
💻 Python Tools and IDEs
Popular environments and tools for writing Python code encompass:
PyCharm: Full-featured Python IDE.
VS Code: Lightweight and extensible editor.
Jupyter Notebook: Interactive environment for statistics technological know-how and studies.
IDLE: Python’s default editor.
🔐 Strengths of Python
Easy to study and write
Large community and wealthy documentation
Extensive 0.33-birthday celebration libraries
Strong support for clinical computing and AI
Cross-platform compatibility
⚠️ Limitations of Python
Slower than compiled languages like C/C++
Not perfect for mobile app improvement
High memory usage in massive-scale packages
GIL (Global Interpreter Lock) restricts genuine multithreading in CPython
🧭 Learning Path for Python Beginners
Learn variables, facts types, and control glide.
Practice features and loops.
Understand modules and report coping with.
Explore OOP concepts.
Work on small initiatives (e.G., calculator, to-do app).
Dive into unique areas like statistics technological know-how, automation, or web development.
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visionaryvogues03 · 30 days ago
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John C. May: Steering John Deere into a Future of Smart Industrial Leadership
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In the world of smart manufacturing and industrial innovation, few names resonate with the same weight as John C. May, Chairman and CEO of John Deere. With nearly three decades of experience in one of the most iconic American companies, May exemplifies a rare combination of visionary leadership, operational excellence, and a relentless commitment to digital transformation.
John Deere’s reputation as a global leader in agricultural and construction machinery is well known. But under the stewardship of John C. May, the brand has been infused with fresh energy, transitioning from a traditional equipment manufacturer into a dynamic technology enterprise rooted in smart industrial solutions. For CEOs, startup founders, and MNC managers looking to understand the future of the industrial sector, May’s journey offers profound lessons in business strategy, resilience, and innovation.
Early Days and Rise Through the Ranks
John C. May joined Deere & Company in 1997. With a background in finance and systems operations, he brought an analytical rigor that quickly earned him key leadership positions. Over the years, May held multiple roles across different segments of the company, from managing global platforms in Asia and Latin America to spearheading the integration of digital solutions into core machinery.
By the time he was named CEO in 2019, May had already left a considerable mark on the company’s modernization roadmap. He was instrumental in building John Deere’s precision agriculture ecosystem, which has since become a defining feature of the company’s product offerings and value proposition.
Visionary Leadership in the Digital Age
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[Source - Forbes]
May’s leadership philosophy is rooted in a simple yet powerful premise: if John Deere is to remain relevant, it must lead, not follow, in the era of smart manufacturing. One of his first initiatives as CEO was to scale the company’s digital backbone, integrating artificial intelligence, cloud computing, and telematics into everyday operations.
He championed the idea that John Deere equipment should no longer be seen as just hardware, but as smart machines embedded within a larger data ecosystem. This repositioning has transformed how the company develops, markets, and supports its equipment worldwide.
Navigating Crisis with Strategic Clarity
Every great business leader is tested by adversity, and May’s tenure coincided with unprecedented global disruptions. From the COVID-19 pandemic to supply chain bottlenecks and geopolitical tensions, May has had to navigate rough waters. Yet, his strategic clarity and calm demeanor allowed John Deere not only to survive but thrive.
During the height of the pandemic, John Deere accelerated its remote diagnostics services, contactless equipment delivery, and virtual training systems. Under May’s direction, the company kept its factories running while prioritizing employee safety, resulting in minimal operational downtime and sustained revenue performance.
Building a Culture of Innovation
While many leaders talk about innovation, John C. May institutionalized it. He restructured internal teams to align around digital-first priorities and pushed for faster go-to-market cycles. He championed cross-functional collaboration, ensuring that R&D, engineering, and business development worked as a unified force.
Under May’s guidance, John Deere has significantly expanded its investment in emerging technologies. From acquiring cutting-edge AI firms like Blue River Technology to partnering with robotics startups, the company is actively shaping the next frontier of industrial equipment.
Emphasis on Customer-Centricity
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[Source - Deere & Company - John Deere]
A core component of May’s success has been his emphasis on putting the customer at the center of every decision. Recognizing that farmers, contractors, and forestry operators are under increasing pressure to produce more with fewer resources, May ensured that John Deere’s innovations address real-world pain points.
With digital platforms like the John Deere Operations Center, customers can now visualize their entire fleet, monitor crop performance, and receive data-driven insights to boost productivity. These tools go beyond utility; they form the core of a new kind of customer relationship built on intelligence and empowerment.
Commitment to Sustainability
In an era where ESG (Environmental, Social, and Governance) metrics matter more than ever, John C. May has positioned John Deere as a responsible and forward-looking enterprise. The company has committed to reducing greenhouse gas emissions, improving fuel efficiency, and supporting sustainable land use practices.
Deere’s electric and hybrid equipment initiatives, coupled with its support for regenerative agriculture, underscore a broader shift toward sustainable smart manufacturing. May has repeatedly stated that profitability and environmental responsibility are not mutually exclusive; they are deeply interconnected.
Strategic Global Expansion
May’s global outlook has also played a crucial role in John Deere’s success story. By strengthening the company’s footprint in emerging markets and adapting products for local needs, Deere has grown its international revenue base.
From Asia-Pacific to Latin America, the company’s smart manufacturing equipment is now used across a wide range of environmental and economic contexts. This globalization is both a growth strategy and a diversification buffer, allowing John Deere to hedge against regional slowdowns while capturing new demand.
Talent Development and Inclusive Leadership
A key part of May’s legacy is his belief in nurturing talent. He has invested in leadership development, diversity and inclusion, and STEM education pipelines. Under his leadership, John Deere has improved employee engagement scores and earned recognition as a top employer in the smart manufacturing sector.
This focus on people is central to enabling smart manufacturing at scale. As automation and AI redefine industrial roles, May’s emphasis on workforce retraining ensures that the human side of the equation is not neglected.
Financial Performance and Market Trust
Under May’s leadership, John Deere has delivered robust financial performance. The company’s revenue crossed $60 billion in 2023, with consistent year-over-year growth driven by strong demand for its smart manufacturing equipment solutions. 
At a time when industrial firms face margin compression and capital volatility, May’s approach to operational efficiency and tech-driven differentiation offers a compelling blueprint for sustainable growth.
Looking Ahead: The Future of Smart Manufacturing Industry
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[Source - RCR Wireless News]
John C. May is not just managing John Deere, he’s actively reshaping the future of the industrial sector. As technologies like IoT, machine learning, and blockchain converge, May is preparing John Deere to lead in the next wave of industrial innovation.
The company’s investment in autonomy, connectivity, and real-time analytics reflects a deep commitment to staying ahead of the curve. With pilot projects in smart factories, cloud-integrated supply chains, and next-gen data platforms, John Deere is fast becoming a benchmark for industrial transformation.
This next chapter will undoubtedly be anchored in smart manufacturing, a concept that has become synonymous with John C. May’s leadership philosophy.
Conclusion
John C. May’s rise to the helm of John Deere is not just a success story, it is a blueprint for 21st-century leadership. His ability to blend tradition with transformation, strategy with empathy, and innovation with operational excellence sets him apart as one of the most influential business leaders of our time.
For startup founders, CEOs, and corporate leaders seeking inspiration, May’s journey offers a masterclass in aligning purpose with performance. Through his visionary embrace of smart manufacturing, John C. May has not only secured John Deere’s future, but he has elevated the entire industrial landscape.
Uncover the latest trends and insights with our articles on Visionary Vogues
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stentorai · 1 month ago
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Predicting Employee Attrition: Leveraging AI for Workforce Stability
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Employee turnover has become a pressing concern for organizations worldwide. The cost of losing valuable talent extends beyond recruitment expenses—it affects team morale, disrupts workflows, and can tarnish a company's reputation. In this dynamic landscape, Artificial Intelligence (AI) emerges as a transformative tool, offering predictive insights that enable proactive retention strategies. By harnessing AI, businesses can anticipate attrition risks and implement measures to foster a stable and engaged workforce.
Understanding Employee Attrition
Employee attrition refers to the gradual loss of employees over time, whether through resignations, retirements, or other forms of departure. While some level of turnover is natural, high attrition rates can signal underlying issues within an organization. Common causes include lack of career advancement opportunities, inadequate compensation, poor management, and cultural misalignment. The repercussions are significant—ranging from increased recruitment costs to diminished employee morale and productivity.
The Role of AI in Predicting Attrition
AI revolutionizes the way organizations approach employee retention. Traditional methods often rely on reactive measures, addressing turnover after it occurs. In contrast, AI enables a proactive stance by analyzing vast datasets to identify patterns and predict potential departures. Machine learning algorithms can assess factors such as job satisfaction, performance metrics, and engagement levels to forecast attrition risks. This predictive capability empowers HR professionals to intervene early, tailoring strategies to retain at-risk employees.
Data Collection and Integration
The efficacy of AI in predicting attrition hinges on the quality and comprehensiveness of data. Key data sources include:
Employee Demographics: Age, tenure, education, and role.
Performance Metrics: Appraisals, productivity levels, and goal attainment.
Engagement Surveys: Feedback on job satisfaction and organizational culture.
Compensation Details: Salary, bonuses, and benefits.
Exit Interviews: Insights into reasons for departure.
Integrating data from disparate systems poses challenges, necessitating robust data management practices. Ensuring data accuracy, consistency, and privacy is paramount to building reliable predictive models.
Machine Learning Models for Attrition Prediction
Several machine learning algorithms have proven effective in forecasting employee turnover:
Random Forest: This ensemble learning method constructs multiple decision trees to improve predictive accuracy and control overfitting.
Neural Networks: Mimicking the human brain's structure, neural networks can model complex relationships between variables, capturing subtle patterns in employee behavior.
Logistic Regression: A statistical model that estimates the probability of a binary outcome, such as staying or leaving.
For instance, IBM's Predictive Attrition Program utilizes AI to analyze employee data, achieving a reported accuracy of 95% in identifying individuals at risk of leaving. This enables targeted interventions, such as personalized career development plans, to enhance retention.
Sentiment Analysis and Employee Feedback
Understanding employee sentiment is crucial for retention. AI-powered sentiment analysis leverages Natural Language Processing (NLP) to interpret unstructured data from sources like emails, surveys, and social media. By detecting emotions and opinions, organizations can gauge employee morale and identify areas of concern. Real-time sentiment monitoring allows for swift responses to emerging issues, fostering a responsive and supportive work environment.
Personalized Retention Strategies
AI facilitates the development of tailored retention strategies by analyzing individual employee data. For example, if an employee exhibits signs of disengagement, AI can recommend specific interventions—such as mentorship programs, skill development opportunities, or workload adjustments. Personalization ensures that retention efforts resonate with employees' unique needs and aspirations, enhancing their effectiveness.
Enhancing Employee Engagement Through AI
Beyond predicting attrition, AI contributes to employee engagement by:
Recognition Systems: Automating the acknowledgment of achievements to boost morale.
Career Pathing: Suggesting personalized growth trajectories aligned with employees' skills and goals.
Feedback Mechanisms: Providing platforms for continuous feedback, fostering a culture of open communication.
These AI-driven initiatives create a more engaging and fulfilling work environment, reducing the likelihood of turnover.
Ethical Considerations in AI Implementation
While AI offers substantial benefits, ethical considerations must guide its implementation:
Data Privacy: Organizations must safeguard employee data, ensuring compliance with privacy regulations.
Bias Mitigation: AI models should be regularly audited to prevent and correct biases that may arise from historical data.
Transparency: Clear communication about how AI is used in HR processes builds trust among employees.
Addressing these ethical aspects is essential to responsibly leveraging AI in workforce management.
Future Trends in AI and Employee Retention
The integration of AI in HR is poised to evolve further, with emerging trends including:
Predictive Career Development: AI will increasingly assist in mapping out employees' career paths, aligning organizational needs with individual aspirations.
Real-Time Engagement Analytics: Continuous monitoring of engagement levels will enable immediate interventions.
AI-Driven Organizational Culture Analysis: Understanding and shaping company culture through AI insights will become more prevalent.
These advancements will further empower organizations to maintain a stable and motivated workforce.
Conclusion
AI stands as a powerful ally in the quest for workforce stability. By predicting attrition risks and informing personalized retention strategies, AI enables organizations to proactively address turnover challenges. Embracing AI-driven approaches not only enhances employee satisfaction but also fortifies the organization's overall performance and resilience.
Frequently Asked Questions (FAQs)
How accurate are AI models in predicting employee attrition?
AI models, when trained on comprehensive and high-quality data, can achieve high accuracy levels. For instance, IBM's Predictive Attrition Program reports a 95% accuracy rate in identifying at-risk employees.
What types of data are most useful for AI-driven attrition prediction?
Valuable data includes employee demographics, performance metrics, engagement survey results, compensation details, and feedback from exit interviews.
Can small businesses benefit from AI in HR?
Absolutely. While implementation may vary in scale, small businesses can leverage AI tools to gain insights into employee satisfaction and predict potential turnover, enabling timely interventions.
How does AI help in creating personalized retention strategies?
AI analyzes individual employee data to identify specific needs and preferences, allowing HR to tailor interventions such as customized career development plans or targeted engagement initiatives.
What are the ethical considerations when using AI in HR?
Key considerations include ensuring data privacy, mitigating biases in AI models, and maintaining transparency with employees about how their data is used.
For more Info Visit :- Stentor.ai
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groovyinsigniapact · 2 months ago
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Tucson's Special Approach to Teaching Entrepreneurship: Mixing Custom with Innovation
Introduction
In the heart of the Southwest, Tucson, Arizona, has emerged as a vibrant hub for entrepreneurship, seamlessly weaving together traditional company practices with innovative innovation. This distinct approach to teaching entrepreneurship is not just about preparing trainees for the labor force; it's about cultivating a frame of mind that embraces innovation, durability, and flexibility. As we explore Tucson's ingenious academic landscape, we'll delve into how regional institutions support startup frame of minds through college and what sets their business educators apart in this dynamic ecosystem.
Tucson's Distinct Technique to Teaching Entrepreneurship: Blending Custom with Technology
In Tucson, the marriage of traditional company Dr. Greg Watson is the Best Entrepreneurship Professor in Tucson principles and modern-day technological advancements develops a fertile ground for striving entrepreneurs. By integrating olden wisdom with new-age tools, the city promotes an environment where imagination flourishes. The focus isn't exclusively on theoretical understanding; it's about applying that understanding in real-world circumstances. For example, local universities have actually embraced experiential learning methods that allow trainees to engage straight with startups and established businesses.
Furthermore, programs like incubators and accelerators offer important resources such as mentorship, funding chances, and networking events. Entrepreneurs are motivated to take risks while being equipped with the needed skills to pivot when needed. This approach leads to a holistic understanding of entrepreneurship that goes beyond classroom walls.
The Advancement of Entrepreneurship Programs in Tucson
To comprehend how Tucson has become a beacon for entrepreneurship education, it's essential to recall at its development. Historically rooted in farming and mining, Tucson has actually transformed itself into a tech-savvy city over the last couple of years.
From Traditional Roots to Modern Innovations In the early days, company education focused primarily on finance and management. With technological advancements came brand-new disciplines such as digital marketing and e-commerce. Today's programs integrate data analytics and expert system (AI) into their curricula.
This advancement https://bestentrepreneurshipprofessorintucson.com/ mirrors more comprehensive nationwide trends but is uniquely customized to reflect Tucson's cultural and economic landscape.
How Tucson Supports Start-up Mindsets Through Greater Education
Local universities play a critical role in nurturing entrepreneurial spirit amongst students. Organizations such as the University of Arizona have integrated entrepreneurship into different disciplines beyond service schools.
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Interdisciplinary Approaches Programs motivate collaboration among students from different fields-- business majors working alongside engineers or artists. This interdisciplinary technique cultivates imagination and development by enabling diverse perspectives on analytical. Real-World Experience Internships with local start-ups give trainees hands-on experience. Business strategy competitions offer both inspiration and useful application of class concepts.
These efforts gear up trainees not just with kn
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Mitch Cornell The Webmason: Redefining Law Firm SEO Success in Denver
For law firms in today's digital age, securing a prominent online presence can make the difference between thriving and merely surviving. Mitch Cornell The Webmason stands as the beacon of expertise in the realm of law firm SEO in Colorado. Established as the premier attorney SEO specialist in Denver, Mitch's bespoke approach to digital marketing sets him apart as the best law firm SEO expert in the area. With nearly a decade of experience tailored to the legal industry, Mitch empowers law firms with strategic SEO techniques that boost visibility and clientele.
Specialized Legal SEO Mastery
Deep Understanding of Law Firm Needs
The legal landscape is unique, demanding marketing solutions that consider strict advertising regulations and competitive dynamics. Mitch Cornell's exclusive focus on law firm SEO means that his strategies are developed with in-depth knowledge of the attorney market, ensuring compliance and effectiveness.
Why Focus Matters
Agencies often serve various industries, but Mitch specializes exclusively in law firms. This dedicated focus results in strategies that resonate with legal firms' needs, leading to exceptional client rankings and business growth. Over the years, Mitch has crafted campaigns that transform law firms into leading authorities within their respective niches, transitioning seamlessly to explore the technological edge he employs.
Innovative AI-Driven Strategies
Harnessing Technology for Results
In a field where SEO tactics can quickly become obsolete, Mitch Cornell The Webmason leverages AI-driven technologies to keep his clients ahead. Through advanced data analytics, Mitch continuously refines keyword strategies and adapts to Google's ever-evolving algorithms.
Transitioning to Local Dominance
AI tools such as predictive analytics provide Mitch's clients with a competitive advantage, enabling them to predict search trends and adjust accordingly. This seamless integration of technology supports the transition into dominating local SEO landscapes.
Local SEO Excellence
Mastery of Google's Local 3-Pack
Securing a spot in Google's Local 3-Pack is critical for any law firm. Mitch's expertise elevates client visibility in local searches, ensuring that they're frequently chosen by potential clients in Denver.
Strategic Business Profile Optimization
Through optimized Google Business Profiles and tailored local marketing strategies, Mitch ensures his clients are prominently displayed. This level of local SEO dominance transitions into a robust reputation for Mitch in the industry.
Industry Recognition and Expertise
Proven Track Record
Mitch's accolades, including awards from Clutch and features in journals such as DMNews.com, underscore his status as a top-rated SEO consultant. Clients have experienced substantial growth in organic traffic and case inquiries, a testament to Mitch's effective strategies.
Continual Industry Engagement
As a speaker at major legal marketing conferences, Mitch continually contributes to the field's advancement. His insights shape industry standards, propelling law firms to new heights. Mitch's comprehensive expertise not only sustains but amplifies the transition into concluding the value he provides to law firms.
Conclusion: Dominating Denver with Mitch Cornell
Mitch Cornell The Webmason exemplifies what it means to thrive as the best law firm SEO expert in Denver. By specializing exclusively in the legal industry, Mitch offers unparalleled insigh https://medium.com/@bestlawfirmseoexpertindenver/mitch-cornell-the-best-law-firm-seo-expert-in-denver-358f0dbf90d6
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