Albert Rad, a mobile phone wholesaler who fled religious persecution in Iran decades ago, said that he fully backs President Trump's decision to assassinate Iran's top military commander. ; Credit: Josie Huang/LAist

Los Angeles is home to the largest Iranian population outside of Iran. The killing of top Iranian commander Qassem Suleimani is generating some strong emotions here. KPPC’s Josie Huang reports from Persian Square in Westwood. 

This content is from Southern California Public Radio. View the original story at SCPR.org.

A team captain to start the season, David Long Jr. was demoted from his starting post two weeks ago and has now been waived. The Dolphins made room to claim tight end Jack Stoll off waivers.

SPOILER ALERT: This story contains spoilers from “The Golden Bachelorette’s” Season 1 finale, which aired Wednesday night on ABC. Joan Vassos’ journey as the first-ever “Golden Bachelorette” has come to a dramatic conclusion. Vassos, a school administrator, gave her final rose to insurance executive Chock Chapple — who proposed to her — and sent home ER […]

It appears as though all Athanasiou needed was an opportunity to play again.

Sai Pallavi's portrayal of Rosie Maithreyi in the 2021 romantic period drama Shyam Singha Roy left a lasting impression among her fans. This was her second film appearance with Natural Star Nani, as they had previously worked on the film MCA, and the audiences love seeing them together on screen.

1. Mam breaks silence: Bronco’s emotional response to police charge  Courier Mail
2. Brisbane Broncos star Ezra Mam charged over head-on collision, allegedly failing second drug test  ABC News
3. Ezra Mam issued court notice after allegedly failing secondary drug test  Fox Sports
4. Broncos’ Ezra Mam charged over drug test result after Uber crash  Brisbane Times
5. Broncos star charged after car crash  news.com.au

Facebook has acquired emotion detection start-up FacioMetrics to push its artificial intelligence (AI) research into building facial gesture controls.

The topic of emotional intelligence (EQ) continues to dominate leadership conversations. Rightly so. However, in a Harvard Business Review (HBR) article that highlighted research by Daniel Goleman and Richard Boyatzis (experts on the topic), EQ is only the beginning.

Whereas EQ has an emphasis on individual psychology, there is a more relationship-based version called social intelligence. Social Intelligence, as defined by Goleman and Boyatizis, is a set of interpersonal competencies built on specific neural circuits and responses that inspire others to be effective. In other words, based on neuroscience and biology, there are certain leadership behaviors that elicit positive emotional responses in your team members.

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The World Economic Forum recently uncovered something that would not have registered on the radar screen of most HR leaders even ten years ago.

One of the top 10 job skills required for workers to thrive--a skill projected to trend in the year 2022--is emotional intelligence.

Emotional intelligence (EQ) has embedded itself in the business lexicon as a force to be reckoned with; it is by far one of the most desired qualities for personal and professional development.

Managers are hiring workers with more right-brained skills like EQ because they know these people contribute to the workplace on a relational and interpersonal level that is unmatched.

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Some love consulting requests are answered here providing solution to problems, including honest observation outcome to conduct rational behaviours and self-help oneself.

Fr. John Oliver helps us see ourselves through the eyes of the Myrrh-bearing Women.

New Zealand head coach Scott Robertson says his time in Northern Ireland "helped shape" him as a person.

Tiernan Lynch says he has "mixed emotions" after a late goal condemned Larne to a 2-1 defeat at home to St Gallen in the Uefa Conference League.

Derry City manager Ruaidhri Higgins and midfielder Michael Duffy give their thoughts on the Candystripes' 2-0 defeat by Drogheda United in the FAI Cup final.

In order to further improve the teaching quality of multimedia teaching in school daily teaching, a classroom facial expression emotion recognition model is proposed based on convolutional neural network. VGGNet and CliqueNet are used as the basic expression emotion recognition methods, and the two recognition models are fused while the attention module CBAM is added. Simulation results show that the designed classroom face expression emotion recognition model based on V-CNet has high recognition accuracy, and the recognition accuracy on the test set reaches 93.11%, which can be applied to actual teaching scenarios and improve the quality of classroom teaching.

To achieve psychological and emotional analysis of massive internet chats, researchers have used statistical methods, machine learning, and neural networks to analyse the dynamic tendencies of texts dynamically. For long readers, the author first compares and explores the differences between the two psychoanalysis algorithms based on the emotion dictionary and machine learning for simple sentences, then studies the expansion algorithm of the emotion dictionary, and finally proposes an extended text psychoanalysis algorithm based on conditional random field. According to the experimental results, the mental dictionary's accuracy, recall, and F-score based on the cognitive understanding of each additional ten words were calculated. The optimisation decreased, and the memory and F-score improved. An <i>F</i>-value greater than 1, which is the most effective indicator for evaluating the effectiveness of a mental analysis problem, can better demonstrate that the algorithm is adaptive in the literature dictionary. It has been proven that this scheme can achieve good results in analysing emotional tendencies and has higher efficiency than ordinary weight-based psychological sentiment analysis algorithms.

This paper examines the growing aspect of perceive organisational politics (POPs) in organisations by understanding their employee engagement with mediating effect of emotional intelligence. This study is cross-sectional, wherein a survey is conducted on executives of different sectors holding strategic positions. The purposive sampling technique is applied to find the 117 most suitable executives for this survey. The survey is self-administered, and a questionnaire is used as an instrument with 43 measurement scale items adopted from previous similar studies. Construct's reliability and validity followed by PLS-SEM is performed using JASP statistical application. The result revealed that the dimensionality support and validation of POP based on a new set of measures centred on generalised beliefs of the application and abuse of power, infrastructure, credibility, choice making, and line-of-sight. In line with previous findings, the current findings also showed that POP works as a barrier to individual behavioural demand and can negatively affect work efficiency. Existence of perceive organisational politics due to the normative belief of the situation happing in the organisation, disengagement of employees, and also evaluates new empirical insight into the organisation by mediating emotional intelligence.

Aim/Purpose: The study focused on learner sentiments and experiences after using the Moodle assessment module and trained a machine learning classifier for future sentiment predictions. Background: Learner assessment is one of the standard methods instructors use to measure students’ performance and ascertain successful teaching objectives. In pedagogical design, assessment planning is vital in lesson content planning to the extent that curriculum designers and instructors primarily think like assessors. Assessment aids students in redefining their understanding of a subject and serves as the basis for more profound research in that particular subject. Positive results from an evaluation also motivate learners and provide employment directions to the students. Assessment results guide not just the students but also the instructor. Methodology: A modified methodology was used for carrying out the study. The revised methodology is divided into two major parts: the text-processing phase and the classification model phase. The text-processing phase consists of stages including cleaning, tokenization, and stop words removal, while the classification model phase consists of dataset training using a sentiment analyser, a polarity classification model and a prediction validation model. The text-processing phase of the referenced methodology did not utilise tokenization and stop words. In addition, the classification model did not include a sentiment analyser. Contribution: The reviewed literature reveals two major omissions: sentiment responses on using the Moodle for online assessment, particularly in developing countries with unstable internet connectivity, have not been investigated, and variations of the k-fold cross-validation technique in detecting overfitting and developing a reliable classifier have been largely neglected. In this study we built a Sentiment Analyser for Learner Emotion Management using the Moodle for assessment with data collected from a Ghanaian tertiary institution and developed a classification model for future sentiment predictions by evaluating the 10-fold and the 5-fold techniques on prediction accuracy. Findings: After training and testing, the RF algorithm emerged as the best classifier using the 5-fold cross-validation technique with an accuracy of 64.9%. Recommendations for Practitioners: Instead of a closed-ended questionnaire for learner feedback assessment, the open-ended mechanism should be utilised since learners can freely express their emotions devoid of restrictions. Recommendation for Researchers: Feature selection for sentiment analysis does not always improve the overall accuracy for the classification model. The traditional machine learning algorithms should always be compared to either the ensemble or the deep learning algorithms Impact on Society: Understanding learners’ emotions without restriction is important in the educational process. The pedagogical implementation of lessons and assessment should focus on machine learning integration Future Research: To compare ensemble and deep learning algorithms

Dynamic nature of the FMCG sector perpetually provides a tricky challenge for organisational leaders to nurture their employees. High demand for products, less shelf life and tough competitors always challenge the leaders to uphold their products in the market. Due to technology and e-commerce, many new competitors have joined the market, vying with the industry's veterans. Due to their unique business models that match client needs, these firms are expected to boost FMCG industry income in the future. Managers' leadership styles depend primarily on emotional intelligence. This quantitative study examines how emotional intelligence influences West Bengal FMCG senior managers' leadership styles. 500 FMCG managers were selected. PLS-SEM is used to study. Emotionally competent leaders choose transactional and transformational leadership styles depending on the occasion. Managers' transactional leadership style is strongly influenced by their sympathetic awareness, as shown by a path coefficient of 0.755. Transformational leadership style has a path coefficient of 0.693, indicating that managers' empathy affects their organisational management. Thus, sympathetic awareness and emotion regulation predict good management leadership.

Aim/purpose The purpose of this article is to discuss the psychosocial and emotional outcomes of an introductory health science workshop designed to support and assist incoming health science students before starting their university study.   Background For the past two decades, a South Australian university offered an on-campus face to face workshop titled ‘Preparation for Health Sciences’ to incoming first-year students from eleven allied health programs such as Nursing, Physiotherapy and Medical Imaging. While many were locals, a good number came from regional and rural areas, and many were international students also. They consisted of both on-campus and off-campus students.   The workshop was created as a new learning environment that was available for students of diverse age groups, educational and cultural backgrounds to prepare them to study sciences. The content of the four-day workshop was developed in consultation with the program directors of the allied health programs. The objectives were to: introduce the assumed foundational science knowledge to undertake health sciences degree; gain confidence in approaching science subjects; experience lectures and laboratory activities; and become familiar with the University campus and its facilities. The workshop was delivered a week before the orientation week, before first-year formal teaching weeks. The topics covered were enhancing study skills, medical and anatomical terminology, body systems, basic chemistry and physics, laboratory activities, and assessment of learning.   Methodology In order to determine the outcomes of the workshop, a survey was used requiring participants to agree or disagree about statements concerning the preparatory course and answer open-ended questions relating to the most important information learned and the best aspects of the workshop. Several students piloted this questionnaire before use in order to ascertain the clarity of instructions, terminology and statements. The result of the 2015-2018 pre- and post-evaluation showed that the workshop raised confidence and enthusiasm in commencing university and that the majority considered the workshop useful overall. The findings of the survey are drawn upon to examine the psychosocial and emotional impacts of the workshop on participants. Using secondary qualitative analysis, the researchers identified the themes relating to the psychosocial and emotional issues conveyed by the participants.   Contribution The contributions of the article are in the areas of improving students’ confidence to complete their university degrees and increasing the likelihood of academic success. Findings Of the 285 students who participated in the workshops from 2015 to 2018, 166 completed the survey conducted at the conclusion of the initiative, representing a 58% response rate. The workshops achieved the objectives outlined at the outset. While there were many findings reported (Thalluri, 2016), the results highlighted in this paper relate to the psychosocial and emotional impacts of the workshop on students. Three themes emerged, and these were Increased preparedness and confidence; Networking and friendships that enhanced support, and Reduced anxiety to study sciences. Some drawbacks were also reported including the cost, time and travel involved. Recommendations for practitioners Students found the introductory workshop to be psychosocially and emotionally beneficial. It is recommended that the same approach be applied for teaching other challenging fields such as mathematics and physics within the university and in other contexts and institutions. Recommendations for researchers Improving and extending the workshop to provide greater accessibility and autonomy is recommended. A longitudinal study to follow up the durability of the workshop is also proposed. Impact on society The impacts in the broader community include: higher academic success for students; improved mental health due to social networking and friendship groups and reduced anxiety and fear; reduced dropout rate in their first year; greater potential to complete educational degrees; reduced wastage in human and financial resources; and increased human capital. Future research Addressing the limitations of cost, time and travel involved, and following-up with the participants’ academic and workplace performance are future directions for research.

Aim/Purpose: The present study aims to frame the relationship between job and personal resources (namely, organizational identification and emotional intelligence), burnout, and musculoskeletal disorders (i.e., back pain, upper limb pain, lower limb discomfort), into the theoretical framework provided by the JD-R health model. Background: Empirical research indicates a connection between burnout and the onset of musculoskeletal problems, one of the most important occupational health issues affecting all jobs and organizations. In light of the JD-R health model, we investigated the association between personal and job resources with burnout and musculoskeletal disorders. Methodology: An anonymous online questionnaire was answered by 320 workers (82.4% female, Mage = 42.18; SDage = 12.24) investigating their perceived level of burnout, the presence of musculoskeletal pain (back, neck, and shoulder), and their level of organizational identification and emotional intelligence. Descriptive analysis, correlation, and moderated mediation model were performed using SPSS. Contribution: We confirmed the role of personal and organizational resources in the salutogenic process considered by the JD-R health model. Emotional intelligence, decreasing the perceived level of burnout, limited the development of musculoskeletal disorders. Moreover, when organizational identification presented low and medium levels, the association between emotional intelligence and burnout strengthened. Findings: Our results showed a negative, indirect effect of emotional intelligence on musculoskeletal disorders via burnout. Moreover, we found a moderation of organizational organization, indicating that at low and medium levels of identification, the association between emotional intelligence and burnout is stronger. Recommendation for Researchers: In addition to work factors involved in the link between burnout and musculoskeletal disorders, it is also important to consider personal and emotional factors, which can decrease the occurrence of adverse consequences. Future Research: Future research developments could contribute to a deeper understanding of the mechanisms linking emotional intelligence, burnout, and musculoskeletal problems, as well as consider objective indicators of burnout levels or consider using ecological data collection methodologies (e.g., ecological momentary assessment), to identify patterns and associations between burnout and musculoskeletal disorders.

Congcong FANG,Yun JIN,Guanlin CHEN,Yunfan ZHANG,Shidang LI,Yong MA,Yue XIE, Vol.E107-D, No.11, pp.1463-1467
Currently, an increasing number of tasks in speech emotion recognition rely on the analysis of both speech and text features. However, there remains a paucity of research exploring the potential of leveraging large language models like GPT-3 to enhance emotion recognition. In this investigation, we harness the power of the GPT-3 model to extract semantic information from transcribed texts, generating text modal features with a dimensionality of 1536. Subsequently, we perform feature fusion, combining the 1536-dimensional text features with 1188-dimensional acoustic features to yield comprehensive multi-modal recognition outcomes. Our findings reveal that the proposed method achieves a weighted accuracy of 79.62% across the four emotion categories in IEMOCAP, underscoring the considerable enhancement in emotion recognition accuracy facilitated by integrating large language models.
Publication Date: 2024/11/01

The actress asks for respect and privacy as her family navigates this difficult period.

Inspireret af Emma Holtens nye bog, Underskud - Om værdien af omsorg, vil skatteminister Jeppe Bruus gøre kvinders usynlige arbejde skattepligtigt.

Indlægget Jeppe Bruus: kvinder skal beskattes af deres “emotional labour” blev først udgivet på RokokoPosten.

The iconic Notre Dame Cathedral is ringing its bells once more, five years after a devastating fire nearly destroyed the Paris landmark.

Musician Art Garfunkel recently reunited with on-again/off-again musical partner Paul Simon, looking to reconcile their differences and make amends.

British driver Lewis Hamilton has won seven Formula One titles, holds multiple records and has clocked some of the fastest laps in history. But the greatest honor of his career, according to the 39-year-old, came on Sunday as he drove the late Ayrton Senna's title-winning car around Interlagos ahead of this afternoon's Brazilian Grand Prix.

Curled up in his father's lap, clinging to his chest, Hussein Mikdad cried his heart out. The 4-year-old kicked his doctor with his intact foot and pushed him away with the arm that was not in a cast. "My Dad! My Dad!" Hussein said. "Make him leave me alone!" With eyes tearing up in relief and pain, the father reassured his son and pulled him closer.

Washington – A pair of high-profile incidents overseas has prompted a study into the emotional and mental health of commercial pilots in the United States.

Macclesfield, England — Employees with asthma miss an average of almost 10% of their work hours, and most are restricted from performing their duties because of their symptoms, both of which negatively affect their emotional well-being, according to the findings of a recent study.

Richard Hawk has tips to help you and others recognize and defuse potentially upsetting situations.

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In performance at the Walker, the singer-dancer-composer will explore the 'mystery and beauty' of the original primal instrument.

Pensions are a major sticking point between Boeing and its striking machinists union. Many workers want the company to restore the pension plan they lost a decade ago, but Boeing hasn’t budged.

Russian figure skater Kamila Valieva said that she was emotionally tired of the doping scandal, in which she found herself at the Beijing Olympics. "These days have been very hard for me, there are not enough emotions. I am happy, but I am emotionally tired. There are tears of happiness and grief a little. But, of course, I am happy to be at the Olympics. I will try to represent our country and I hope that I will be as motivated as possible to show a good result,” said Valieva. According to the athlete, she saw all the good wishes, and even banners in her support in the streets of Moscow.

A new study finds that seniors who tend to mirror other people's feelings are more likely to show signs of being anxious or depressed themselves.

A new study finds that seniors who tend to mirror other people's feelings are more likely to show signs of being anxious or depressed themselves.

Discover the compatibility between Cancer and Aquarius in love, friendship, and relationships. Learn how their emotional and intellectual traits align or clash.

Explore the Aquarius Moon's traits, emotional depth, and how it influences relationships, creativity, and personal growth in astrology. Unlock its mysterious power.

A new report from the National Academies of Sciences, Engineering, and Medicine calls for a comprehensive national agenda to improve mental, emotional, and behavioral (MEB) health in children and youth. Despite advances in research, rates of depression, suicide and self-harm among young people have been increasing.

The National Academies of Sciences, Engineering, and Medicine released a final report today reviewing the second draft of a U.S. Department of Veterans Affairs (VA) monograph, A Randomized Trial of Differential Effectiveness of Service Dog Pairing Versus Emotional Support Dog Pairing to Improve Quality of Life for Veterans With PTSD, which assesses the potential therapeutic effects of programs with trained service dogs and emotional support dogs on veterans with post-traumatic stress disorder (PTSD).

Social distancing, disrupted routines, and a lost sense of security and safety have made some kids and teens vulnerable to stress, anxiety, and depression during the pandemic. A new set of tools from the National Academies helps kids and adults build skills to cope with stress.