https://www.europesays.com/ro/341643/ Marius Șumudică, exploziv: ”Nu se poate! Iar mie nu prea îmi place să fiu luat de prost, așa…” #antrenor #CFRCluj #MariusSumudica #program #RO #Română #Romania #Romanian #Sport #Sports #superliga
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99 results for “marius_”
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https://www.europesays.com/ro/339926/ Marius Șumudică știe deja care e componența play-off-ului Superligii #EchipePlayOff #MariusSumudica #MariusSumudicaCfrCluj #PlayOffSuperliga #RO #Română #Romania #Romanian #Sport #Sports
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Giving an AI a Job: The Workbook: Choose the first job to give an AI system, and make it safe enough to leave alone by Marius Andronie is the featured course 🎓 on Leanpub!
Your team uses AI every day and nobody's workload has dropped. This workbook shows how to pick the first job worth giving an AI system, write it on one screen, and make it safe enough to leave alone.
Link: https://leanpub.com/courses/leanpub/giving-an-ai-a-job
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Vine apocalipsa AI? Prof. univ. dr. Marius Leordeanu: „AI-ul nu are voința proprie de a trăi și nici potențialul de a ne distruge din proprie inițiativă”.
„Conștiința reală necesită un trup fizic și instinct de supraviețuire”.
Există, totuși, un pericol (Frontier Defense). -
Fiul afaceristului #Ovidiu Tender l-a împrumutat pe #GeorgeSimion cu 800.000 💶#RON în campania din 2025.
Contractul a fost semnat de Marius Lulea.
#Simion sugerează că banii ar fi venit pe filiera Lulea, cu care a intrat recent în conflict: ”Nu am nici cea mai mică idee ce s-a întâmplat cu banii”.
Cine e Tender. -
DATE: October 23, 2026 at 02:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: College-educated people aren’t Big Tech’s biggest fans. They’re its most conflicted, study suggests
Public opinion toward major technology corporations does not fall neatly along a simple spectrum from support to opposition, according to new research published in Research and Politics. Analyzing survey data from six countries, researchers found that higher levels of education are linked to mixed, conflicted views rather than outright enthusiasm for large tech firms. The study also indicates that political ideology is linked to these attitudes in distinct ways, with left-leaning individuals more likely to be skeptical and highly educated right-leaning individuals increasingly likely to hold ambivalent views.
Big Tech refers to the largest and most dominant companies in the information technology industry, specifically global corporations such as Google, Apple, Meta, Amazon, and Microsoft. Beyond selling consumer products and digital services, these firms control the core infrastructure of modern communication, commerce, and emerging tools like artificial intelligence. Because their platforms influence how citizens find information, participate in public debates, and interact with democratic institutions, governments face growing questions about whether to regulate these companies more strictly or support their continued growth.
Political scientists have spent considerable effort examining how technological shifts affect workers and voters, though less attention has gone toward how the public evaluates the specific corporations driving those changes. For example, a 2022 review noted that workplace automation and digitalization tend to divide the workforce into economic winners who favor the political status quo and routine workers who face job risks and gravitate toward populist politics. Similarly, a study covered by PsyPost in 2022 found that workers facing higher exposure to job automation were more likely to support radical-right parties and report lower satisfaction with democracy.
When turning from workplace technology to the specific corporations behind it, Tobias Tober and colleagues at the University of Konstanz expected education and political ideology to guide public attitudes. In modern knowledge economies, which rely heavily on information and technical expertise rather than manual labor, university-educated individuals usually enjoy stronger job prospects and greater familiarity with digital tools. Prior work, including a 2024 cross-country survey, conducted in part by two of the same researchers, linked how much job risk people perceive from digitalization to how they want governments to respond. Based on these patterns, the authors initially expected highly educated people to view Big Tech companies positively.
Ideology was also expected to play a central role, though in different ways across the political spectrum. Individuals on the political left generally distrust corporate monopolies, wealth inequality, and unchecked private power, which suggests they would view tech giants critically. On the political right, expectations are more complicated because traditional pro-business values favor large corporations, whereas right-wing populist movements often distrust the cultural and social shifts tied to digital capitalism.
To test how these factors work in practice, the researchers commissioned the survey firm Kantar Public to collect data in June and July 2022 across six countries: Germany, Japan, Poland, Spain, Sweden, and the United States. The sample included 3,300 adults aged 18 to 64 in each country, totaling 19,800 respondents. The researchers used quota sampling for age, gender, and education so that the participants reflected the broader national populations of their respective countries.
Participants rated their agreement on a five-point scale with six statements about the societal role of global technology companies like Amazon, Apple, Google, Facebook, and Microsoft. Three statements reflected positive contributions: providing useful services to the public, promoting innovation and economic development, and aiding democracy by offering a digital space for open debate. The other three statements captured negative impacts: undermining the national welfare state by avoiding taxes, weakening labor standards, and becoming so powerful that they threaten democracy.
The researchers then used exploratory factor analysis, a statistical technique that groups related survey answers together to uncover underlying patterns in how people think. Rather than finding a single scale where positive views sit at one end and negative views sit at the other, the analysis pointed to two separate dimensions that barely correlated with each other. Agreeing with positive statements about Big Tech had almost no bearing on whether a person disagreed with negative statements.
Next, the authors applied a grouping method called k-means cluster analysis to see how respondents combined these positive and negative evaluations. The researchers sorted the 19,800 participants into five profiles. The largest group was the neutral cluster (8,140 respondents), consisting of people who neither agreed nor disagreed with most statements, followed by the ambivalent cluster (5,114 respondents), who agreed with both positive and negative statements at the same time.
The remaining participants fell into three smaller categories. Big Tech supporters (3,739 respondents) agreed with the positive statements and rejected the negative ones, while skeptics (2,123 respondents) endorsed the negative statements and rejected the positive ones. Finally, a small dismissive group (685 respondents) disagreed with both positive and negative characterizations of the industry.
To see how education and ideology predicted membership in these five groups, the team ran statistical models that accounted for income and differences between countries, and the results held when they also accounted for technology use at home and at work. Education was divided into three levels based on international standards, ranging from lower secondary schooling up to university degrees. Political ideology was measured on an 11-point scale where respondents placed themselves from far left to far right.
Contrary to the researchers’ initial expectations, higher education was not linked to a large jump in outright support for Big Tech. Moving from the lowest to the highest education level increased the predicted probability of being a supporter by only about 3 percentage points, and the probability of being a skeptic by about 2 percentage points. Instead, the probability of belonging to the ambivalent group rose from 22 percent among less educated respondents to 33 percent among university-educated respondents, while the likelihood of being neutral dropped from 43 percent to 30 percent.
Political ideology also separated respondents in distinct ways, with people in the political center most likely to belong to the neutral group. Moving from the center to the far left increased the predicted probability of being a skeptic by about 10 percentage points. Moving from the center to the far right increased the probability of skepticism by about 6 percentage points, while raising the probability of belonging to the ambivalent group by roughly 10 percentage points. These patterns were broadly similar across the six countries, though with some differences.
When the researchers looked at how education and ideology interacted, they found that ideological divisions were sharpest among university-educated citizens, with declining neutrality on the left translating mainly into higher skepticism. On the right, the pattern ran counter to the researchers’ expectations: there was some evidence that support declined toward the far right among the highly educated, while the probability of holding ambivalent views rose by about 16 percentage points from the political center to the far right. The authors suggest this may reflect a conflict between pro-market beliefs and conservative concerns over how tech platforms influence culture and speech.
The authors also examined whether these five attitude groups aligned with policy preferences regarding government regulation and state financial or political backing for tech firms. Across the full sample, 38 percent of respondents favored stronger regulation of Big Tech, 20 percent opposed it, and 42 percent were undecided. Similarly, 32 percent favored giving the companies more economic and political support, 19 percent opposed doing so, and 49 percent remained undecided.
Breaking these numbers down by group showed that attitude profiles closely tracked policy demands. Skeptics overwhelmingly backed stricter regulation at 82 percent and opposed government support for the industry at 65 percent, while supporters showed little appetite for regulation (23 percent in favor) and leaned toward government backing (40 percent in favor). Ambivalent respondents tended to want both interventions simultaneously, with 72 percent favoring more regulation and 46 percent favoring more government support.
These patterns align with research covered by PsyPost earlier this year, which examined public beliefs regarding the economic and labor impacts of artificial intelligence rather than evaluations of Big Tech companies, and similarly found that political ideology structures technology-related attitudes and regulatory preferences. The heightened skepticism on the left is also broadly in line with a 2023 study covered by PsyPost, which analyzed sentiment in news coverage of artificial intelligence rather than public survey attitudes toward major tech corporations and found that liberal-leaning media outlets expressed more negative sentiment toward artificial intelligence than conservative outlets.
To explain why higher education is linked to ambivalence rather than simple support, the authors propose an explanation drawn from a classic theory of how people form political opinions. In this view, education serves as a rough indicator of political awareness, so highly educated people may encounter more competing arguments about both the benefits and dangers of digital platforms. Rather than settling on a one-sided view, they may absorb both sets of arguments, or experience a clash between their economic preferences and cultural values, though the authors note their account remains incomplete.
As with all research, there are some caveats to consider. Because the study relies on survey responses collected at a single point in time in 2022, it cannot establish cause-and-effect relationships or track how attitudes might have shifted following recent breakthroughs in generative artificial intelligence. The survey also included only adults aged 18 to 64 and used quota sampling rather than random sampling, so the results may not fully represent older adults or each country’s population as a whole. In addition, educational attainment overlaps with several other characteristics, such as income and digital literacy, making it difficult to isolate the exact reason why university graduates express more mixed views.
The researchers also note that their analysis treats political messages as broadly similar across the six surveyed nations. In reality, political parties and news media frame technology debates differently across the United States, Japan, and Europe, which could create local variations that broad cross-national models only partly capture. Future studies could track how these public attitudes evolve over time in response to shifting political rhetoric and new regulatory laws.
The study, “Big Tech, big risk? How education and ideology shape public attitudes toward Big Tech companies,” was authored by Tobias Tober, Marius R. Busemeyer, and Sebastian Koos.
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #BigTech #Technology #TechCompanies #PublicOpinion #HigherEducation #PoliticalIdeology #TechRegulation #DigitalSociety #TechnologyPolicy #SocialScience
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DATE: October 21, 2026 at 10:00AM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Extraversion is linked to faster relief from depressive symptoms
URL: https://www.psypost.org/how-personality-traits-shape-the-speed-of-depression-recovery/
As patients receive inpatient treatment for depression, their personality traits often shift in tandem with their recovering mood, pointing to a deeply intertwined relationship between character and mental health. Individuals with higher average levels of neuroticism experience a slower recovery across a wide range of depressive symptoms, while those who lean toward extraversion or agreeableness tend to bounce back faster. These findings were recently published in the Journal of Affective Disorders.
Mental health professionals classify human personality into five broad domains, often called the Big Five. Neuroticism involves a tendency to experience negative emotions like sadness and worry. Extraversion reflects how outgoing, enthusiastic, and socially engaged a person is. Openness describes a willingness to try new things and embrace novel ideas.
Agreeableness involves being cooperative, empathetic, and trusting. Finally, conscientiousness is characterized by being organized, reliable, and goal-oriented. Together, these traits shape how individuals perceive the world and interact with others.
Depression is a highly varied condition. Two people diagnosed with major depressive disorder might experience entirely different challenges. One might sleep too much and feel constantly guilty, while another might suffer from insomnia and a total loss of appetite. Standard therapies help many people, but about one third of patients do not see their symptoms improve.
Researchers want to know why some people respond well to therapy while others do not. Personality is a prime suspect in this investigation. Prior studies have established a strong link between personality dimensions and psychiatric conditions. Neuroticism is generally viewed as a risk factor for mental health struggles, whereas extraversion and conscientiousness are often seen as protective traits.
Mara Carlotta Berg and Maike Richter, along with senior authors Mitja Back and Nils Opel, led the new investigation. The team includes researchers from the University of Münster and Charité Universitätsmedizin Berlin in Germany. They wanted to understand how personality and depression evolve together over time. They also wanted to look beyond total depression scores to see how specific symptoms respond to treatment in people with different personality profiles.
The research team recruited 334 psychiatric patients receiving care at a German university hospital. The participants had been diagnosed with affective or psychotic disorders, such as major depressive disorder or bipolar disorder. To be included in the analysis, patients needed to stay in the hospital for at least four weeks. This minimum duration allowed the research team to track their progress over a meaningful timeframe.
Patients completed digital questionnaires upon admission and then again roughly every two weeks. The final assessment took place shortly before they were discharged from the hospital. One questionnaire measured the severity of 21 different depressive symptoms experienced over the previous two weeks. This assessment included questions about mood, suicidal thoughts, and physical complaints.
A second questionnaire assessed the Big Five personality traits. The researchers opted for a very brief, 15-item version of a standard personality test. This shortened format reduced the burden on patients who were already dealing with severe mental health challenges. The research team then used statistical models to track how these scores shifted and interacted from admission to discharge.
The overall severity of depression dropped substantially across the study population as patients received inpatient care. Alongside this clinical improvement, the researchers observed coordinated shifts in how patients described their own personalities. Neuroticism scores went down over the course of the hospital stay. At the same time, scores for conscientiousness and extraversion went up.
The statistical models revealed a synchronized relationship between personality and mood. Patients who reported the steepest drops in neuroticism also experienced the largest reductions in their overall depression scores. The reverse was true for agreeableness, conscientiousness, and extraversion. For those three traits, greater increases over the course of treatment were tied to larger mood improvements.
The researchers then broke the depression data down to the level of individual symptoms. They wanted to see if a patient’s average personality profile during their stay influenced the speed of their recovery for specific issues. They found that higher average neuroticism was associated with slower improvement across 14 distinct symptoms.
These lingering issues spanned emotional problems like sadness, irritability, and suicidal thoughts, to physical complaints like insomnia, appetite loss, and somatic worries. The broad impact of neuroticism aligns with its reputation as a general vulnerability factor in mental health. Patients with high neuroticism often experience heightened emotional reactivity and persistent rumination, which might make these symptoms harder to shake.
Other personality traits were linked to faster recovery in specific areas. Patients with higher average extraversion saw quicker relief from seven symptoms, including work difficulty, indecisiveness, and pessimism. Higher average agreeableness mapped onto faster improvements in self-blame, guilt, and body image concerns. Openness was associated with a quicker return of sexual interest and a faster reduction in feelings of guilt.
Conscientiousness was the only trait that did not show these item-by-item associations with recovery speed. While conscientiousness increased overall as patients felt better, it did not seem to dictate the pace at which individual depressive symptoms faded. The researchers suspect that the benefits of conscientiousness might operate through broader behavioral habits that are not captured by specific symptom questions.
The study relies on observational data gathered during naturalistic treatment. Because patients received different types of therapy for varying lengths of time, the results cannot establish that personality directly caused the symptoms to change. The researchers note that the brief personality questionnaire used in the study has limited precision. The short test may have reduced the reliability of the measurements, particularly for the extraversion trait.
It is also difficult to separate true personality changes from a recovering mood. When people are deeply depressed, they often view themselves through a negative lens. The observed changes in personality traits might reflect enduring psychological growth. Alternatively, they might simply represent a return to the patient’s normal baseline as their depression lifts.
Future studies could track patients for months or years after discharge to see if the personality changes stick. Researchers could also use more comprehensive personality tests to confirm the symptom-specific findings. Understanding these patterns could eventually help mental health professionals design more personalized treatments.
Psychiatry is gradually moving toward precision medicine, where care is tailored to the individual rather than the diagnosis alone. If a clinician knows a patient has high neuroticism, they might anticipate a slower recovery and deploy targeted interventions earlier. These targeted interventions could focus specifically on emotion regulation or persistent rumination. Conversely, highly extraverted patients might benefit most from socially engaging group therapies.
The study, “Big Five personality dimensions and their association with depressive symptom severity over the treatment course,” was authored by Mara Carlotta Berg, Maike Richter, Marius Gruber, Janik Goltermann, Luise Victoria Claaß, Julian Herpertz, Ramona Leenings, Lara Gutfleisch, Jonathan Mathias Fasshauer, Michael Storck, Rogério Blitz, Udo Dannlowski, Mitja Back, and Nils Opel.
URL: https://www.psypost.org/how-personality-traits-shape-the-speed-of-depression-recovery/
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #Extraversion #Neuroticism #DepressionRecovery #BigFive #PersonalityTraits #MentalHealth #DepressiveSymptoms #InpatientTreatment #Psychiatry #TreatmentPersonalization
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Before an AI system gets a job, write the job on one screen: trigger, input, source of truth, output, destination, never, exception owner. If a heading stays empty, it is still an idea, not a job.
That is module 2 of my workbook Giving an AI a Job, featured on Leanpub's home page since 22 October.
Worked example: https://devaland.com/blog/ai-system-job-description-7-headings
The workbook: https://devaland.com/giving-an-ai-a-job -
Marcus Junius Brutus, who died OTD in 42 BC, took a leading role in the assassination of Julius Caesar in 44 BC https://toilet-guru.com/roman-republic/?s=mb #travel #history
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"Markus Söder fordert AfD-Spitze auf, Rechtsextreme auszuschließen"
🤣 Sorry.
Gar nicht lustig ist, dass er damit den Weg öffnen will, mit der dann "normalen" Partei zu regieren.😣
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Markus-setä : Suomen ensimmäinen radiopersoona
Mikrofoni on aina merkinnyt minulle lämmintä ja läheistä kosketusta ihmiseen, ei massaan. Tänä vuonna sata vuotta täyttävä Yle julkaisi vuonna 2015 Markus Rautiosta (1891–1973) eli Markus-sedästä elämäkerran, jossa korostetaan hänen rooliaan maan ensimmäisenä radiopersoonana radion alusta aina 1950-luvun puoliväliin. Markus-setä oli instituutio jo eläessään. Rautio oli legendaarinen Yleisradion toimittaja ja kuuluttaja, myöhemmin myös kuunnelma- ja selostusosaston […]https://www.kirjavinkit.fi/arvostelut/markus-seta-suomen-ensimmainen-radiopersoona/
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Marcus Stokes’ 5 TDs lift Memphis past East Carolina in OT https://www.rawchili.com/nfl/1034711/ #CollegeFootball #EastCarolinaPirates #Football #MemphisTigers #NCAA #NCAAFootball
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Marcus Stokes’ 5 TDs lift Memphis past East Carolina in OT https://www.rawchili.com/5131297/ #CollegeFootball #EastCarolinaPirates #Football #MemphisTigers #ncaa #NcaaFootball #NCAAF
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Marcus and I are doing a reading of his book, *Black Day: The Monster Rock Band* at my nephew’s preschool. I’m thrilled little LEW wants to share this with his friends. And Tomorrow Marcus and I start a road trip adventure together. You know, I have the song from our book, “We are the band (Black Day!) running through my mind. It hold up. 🙂
If you have kids who’d like a catchy, dancy, rock and roll, Halloween song, check it out: https://youtu.be/MCUPOn3wzaU?si=meo8JdmXXMUhPYMx
#3goodthings -
Marcus Stock signs One-Year Extension with London Broncos
London Broncos are delighted to announce that Marcus Stock has signed a one-year extension, keeping him at the…
#EuropeSays #Britain #Europe #EU #London
https://www.europesays.com/britain/149059/ -
Marcus Rashford could make his 50th Champions League appearance as Man Utd face Como for the first time. Team news, stats and win probability.
#Football #ucl #ManchesterUnited #ChampionsLeague #footballnews2026 #comomanunited #championsleague2026 #cescfabregas #michaelcarrick #MarcusRashford
https://www.mondiaries.com/2026/10/champions-league-preview-como-vs.html
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Gary Marcus segnala attacchi ai sistemi bancari USA attribuiti ad agenti IA e altri episodi globali. Questo dimostra che anche gli strumenti già disponibili possono facilitare phishing, deepfake, jailbreak, prompt injection e codice insicuro.
#Cybersecurity #AIAgents #BankingSecurity @sicurezza
https://garymarcus.substack.com/p/breaking-news-us-banks-are-taking -
Länderfinanzausgleich: Markus Söders Vorschlag zur »Extremismusklausel« findet wenig Anklang
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It's obvious that Marcus Freeman isn't the guy for #NotreDame. #FireEverybody
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Diese Woche - „Berghütten mit Marcus Fahn“: Folge über Berggasthof Moritzberg im Bayerischen Fernsehen
Ende Juli besuchte der BR1-Moderator Marcus Fahn den Moritzberg. Der Grund: Dreharbeiten für seine Serie „Berghütten mit Marcus Fahn“ im Bayerischen Fernsehen. In dieser Woche wird sie ausgestrahlt.
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2021 hatte Markus Söder noch diese Meinung:
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George Furbank on life at Harlequins and Marcus Smith partnership
In the 10 years he spent in the Franklin’s Gardens dressing rooms, George Furbank sang the line plenty…
#NewsBeep #News #Headlines #UK #UnitedKingdom
https://www.newsbeep.com/781770/ -
"Extremismusklausel": Söder stößt auf Widerspruch
Markus Söders Vorstoß löst Streit aus: Der CSU-Chef will den Länderfinanzausgleich an politische Bedingungen knüpfen. Während einige Regierungschefs Zustimmung signalisieren, kommt aus der Bundesregierung Widerspruch.
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#NotreDame will have to fire Marcus Freeman and rebuild the program from scratch if they don't beat #Miami.
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Cooper Bai heals rift with father Marcus while edging closer to PNG Chiefs signing
Marcus Bai has explained how he and son Cooper moved past the rift that fractured their family, as…
#NewsBeep #News #Sports #AU #Australia #CooperBai #GoldCoastTitans #MarcusBai #MelbourneStorm #nrl #pngchiefs #rugbyleague #sports
https://www.newsbeep.com/au/936415/ -
Kommentar: Die Trennung von Eintracht Frankfurt und Markus Krösche war nötig https://www.sportschau.de/regional/hr/hr-kommentar-zum-bosse-beben-bei-eintracht-frankfurt-kroesche-trennung-war-noetig-100.html
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#sail #sailing #meteo #weather Canada marine warning (in red) / Avertissements marins pour le Canada (en rouge) https://weather.gc.ca/marine/index_e.html
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Die Tiroler FPÖ geht wenig überraschend mit Landesparteiobmann Markus Abwerzger als Spitzenkandidat in die Landtagswahl im Herbst 2027. Der Landesparteivorstand stimmte Freitagabend einstimmig für den 51-Jährigen, hieß es gegenüber der APA. https://tirol.orf.at/stories/3376650/
