Characteristic Changes Defined via Comparison of the Big-Five Personalities in Japanese University Freshmen from Years 2000 to 2016

Introduction: With the arrival of the 21st century, drastic worldwide changes to natural, economic and social events have occurred. These include the Great East Japan Earthquake, and the global financial crisis. Furthermore, Japan experienced the introduction of a specific education system. In this study, we traced and compared the psychological characters of university freshmen for 16 years (years 2000-2016) using Big-Five personalities inventory (Japanese version). Methods: A total of 1189 physically and mentally healthy university freshmen participated in this study. They were divided into four groups according to the year they entered university. They completed a self-filled questionnaire, Big-Five personalities inventory, which consists of Extraversion, Agreeableness, Neuroticism, Conscientiousness and Openness. Result and Discussion: Compared with the year 2008, Extraversion nominally increased in 2012, however, it statistically significantly decreased in 2016. Agreeableness notably decreased from 2000 to 2008, then showed an increase in 2012. Compared to 2000, Neuroticism was statistically significantly lower in 2008 and 2016. Such statistically significant differences were not observed in the other two personalities. The personalities of university freshmen have changed in the last 16 years, which may be been caused by drastic changes. However, further research (e.g., larger-scale studies or studies including other university students) is required to support the current findings.

Predicting Big-Five Personality for Micro-blog Based on Robust Multi-task Learning

Personality prediction on social network has become a hot topic.At present,most studies are using single-task classification/regression machine learning.However,this method ignores the potential association between multiple tasks.Also an ideal prediction result is difficult to achieve based on the small scale training data,since it is not easy to get a lot of social network data with personality label samples.In this paper,a robust multi-task learning method(RMTL)is proposed to predict Big-Five personality on Micro-blog.We aim to learn five tasks simultaneously by extracting and utilizing appropriate shared information among multiple tasks as well as identifying irrelevant tasks.For a set of Sina Micro-blog users’information and personality labeled data retrieved by questionnaire,we validate the RMTL method by comparing it with 4 single-task learning methods and the mere multi-task learning.Our experiment demonstrates that the proposed RMTL can improve the precision rate,recall rate of the prediction and F value.

Big-Five人格维度对顶岗实习满意度影响实证研究

现有的顶岗实习满意度研究文献忽视了实习生的人格差异可能带来的各种影响,学生被视作无形的、无个性的、不假思索地从事实习活动的行为者,其人格特质与其实习满意度之间的联系仍是一个尚未研究的领域。采用因子分析和回归分析方法实证检验了学生的Big-Five人格维度对其实习满意度的影响,研究结果表明Big-Five人格维度是顶岗实习满意度的重要预测因素,高"情绪稳定性"、"宜人性"和"想象力"的学生具有更高水平的实习满意度。

多主体协同开发社区教育课程的PERSONAL模式探索——基于“我爱我家”的个案研究

通过对“我爱我家”这一社区自发课程的跟踪调查,发现社区自发课程开发实质上是一个组织学习过程,经过个体直觉、知识解释、知识整合等环节实现组织的制度化学习,在推动学习型无边界组织生成的同时,生成社区教育课程。在这一过程中,政策(policies)支持、专家(expert)指导、区域需求和区域特征(regional)、社区系统(system)、组织化(organization)等多要素叠加发挥作用,通过不断拓展新鲜(new)领域的积极行动(action)整合所有资源,并推动跨越边界的学习(learning)贯穿始终。因此,多主体协同的社区自发课程可以不完全地概括为PERSONAL模式。要以PERSONAL模式发展社区自发课程,需要以学习者为中心,注重发展人际互动,营造有利于跨组织交互学习的教育生态系统。

Analysis of the Positive Personalities of Scarlett in Gone with the Wind

Gone with the Wind,the masterpiece of the Margaret,M who has spent about ten years on writing this novel and it takes over half a year of her to verify the specific time and place of the involved historical event.Once the masterpiece is published on June 30,1936,it soon broke several records in sales of American publishing;later,it won the prize of Pulitzer and Association of American publishers.While the leading lady of this novel,Scarlett,become an object of admiration among thousands of people.What attract the readerséyes deeply is her unique origin,outstanding features and noble actions.In the meantime,the charming personality of Margaret's Scarlett has conquered us.She is strong to the difficulties;she is persistent to her love;and she is witty to her family.She is the strongest among the people who has endured the hardship as her no matter she has suffered from the war,the poor and leaving her family.What makes her be responsible to the Taylor Manor is her braveness.At the end of the story,she still tells us:tomorrow is another day! We admire her positive attitude to life,and this is why the female character can be everlasting.

Covariation between personalities and individual differences in coping with stress:Converging evidence and hypotheses

In the past decade there has been a profusion of studies highlighting covariation between individual differences in stress physiology and behavioural profiles, here called personalities. Such individual differences in ways of coping with stress are relevant both in biomedicine, since different personalities may experience a different stress and disease vulnerability, and in behavioural ecology, since their adaptive value and evolutionary maintenance are the subject of debate. However, the precise way in which individual stress differences and personalities are linked is unclear. Here we provide an updated overview of this covariation across different species and taxa, consider its functional significance and present working hypotheses for how behavioural and physiological responses to stress might be causally linked, affecting life-history traits such as dispersal and life-span [Current Zoology 56 （6）： 728-740, 2010].

Human-Related Emotional Stimuli Can Cause a Hippocampal and Thalamic Over-Response in People with Unstable Personalities

Hippocampus is crucial for the formation of emotional memory. We found the relationship between hippocampal responses to emotional stimuli and the mental stabilities of people in our preliminary study. In this study, we have also evaluated how the emotional stimuli would affect amygdala and thalamus in the brain, and how the personality stabilities could relate to the responses in the brain using functional magnetic resonance imaging (fMRI). We evaluated the subjects’ personality features with the Yatabe-Guilford Personality Test (Y-G test) and psychosomatic symptoms with the Cornell Medical Index (CMI). The subjects were categorized into the mentally stable group and the mentally unstable group according to the total scores of the Y-G test and the CMI. The brain functional responses under emotional stimuli were measured using fMRI. The region of interest (ROI) analysis was performed to abstract significant changes in order to compare responses among the different emotional stimuli. We conducted the regression analysis to abstract the relationship between the mean % signal change from fMRI and the personality stability. The fMRI results showed that the hippocampus, thalamus, and right amygdala activities under the human relationship stimuli increased with ascending value of mental instability. Our findings suggest that the memory process in the hippocampus and the threat alarm system in the thalamus under the human-related stimuli crucially influence the emotional reaction of mentally unstable people. These processes in the brain would affect the event that stresses on human relationships that often cause people to suffer from mental disorders.

Personal Thermal Management by Radiative Cooling and Heating

Maintaining thermal comfort within the human body is crucial for optimal health and overall well-being.By merely broadening the setpoint of indoor temperatures,we could significantly slash energy usage in building heating,ventilation,and air-conditioning systems.In recent years,there has been a surge in advancements in personal thermal management(PTM),aiming to regulate heat and moisture transfer within our immediate surroundings,clothing,and skin.The advent of PTM is driven by the rapid development in nano/micro-materials and energy science and engineering.An emerging research area in PTM is personal radiative thermal management(PRTM),which demonstrates immense potential with its high radiative heat transfer efficiency and ease of regulation.However,it is less taken into account in traditional textiles,and there currently lies a gap in our knowledge and understanding of PRTM.In this review,we aim to present a thorough analysis of advanced textile materials and technologies for PRTM.Specifically,we will introduce and discuss the underlying radiation heat transfer mechanisms,fabrication methods of textiles,and various indoor/outdoor applications in light of their different regulation functionalities,including radiative cooling,radiative heating,and dual-mode thermoregulation.Furthermore,we will shine a light on the current hurdles,propose potential strategies,and delve into future technology trends for PRTM with an emphasis on functionalities and applications.

MXene/Cellulose Composite Cloth for Integrated Functions(if‑Cloth)in Personal Heating and Steam Generation

Given the abundant solar light available on our planet,it is promising to develop an advanced fabric capable of simultaneously providing personal thermal management and facilitating clean water production in an energy-efficient manner.In this study,we present the fabrication of a photothermally active,biodegradable composite cloth composed of titanium carbide MXene and cellulose,achieved through an electrospinning method.This composite cloth exhibits favorable attributes,including chemical stability,mechanical performance,structural flexibility,and wettability.Notably,our 0.1-mm-thick composite cloth(RC/MXene IV)raises the temperature of simulated skin by 5.6℃when compared to a commercially available cotton cloth,which is five times thicker under identical ambient conditions.Remarkably,the composite cloth(RC/MXene V)demonstrates heightened solar light capture efficiency(87.7%)when in a wet state instead of a dry state.Consequently,this cloth functions exceptionally well as a high-performance steam generator,boasting a superior water evaporation rate of 1.34 kg m^(-2)h^(-1)under one-sun irradiation(equivalent to 1000 W m^(-2)).Moreover,it maintains its performance excellence in solar desali-nation processes.The multifunctionality of these cloths opens doors to a diverse array of outdoor applications,including solar-driven water evaporation and personal heating,thereby enriching the scope of integrated functionalities for textiles.

Dynamic Hand Gesture-Based Person Identification Using Leap Motion and Machine Learning Approaches

Person identification is one of the most vital tasks for network security. People are more concerned about theirsecurity due to traditional passwords becoming weaker or leaking in various attacks. In recent decades, fingerprintsand faces have been widely used for person identification, which has the risk of information leakage as a resultof reproducing fingers or faces by taking a snapshot. Recently, people have focused on creating an identifiablepattern, which will not be reproducible falsely by capturing psychological and behavioral information of a personusing vision and sensor-based techniques. In existing studies, most of the researchers used very complex patternsin this direction, which need special training and attention to remember the patterns and failed to capturethe psychological and behavioral information of a person properly. To overcome these problems, this researchdevised a novel dynamic hand gesture-based person identification system using a Leap Motion sensor. Thisstudy developed two hand gesture-based pattern datasets for performing the experiments, which contained morethan 500 samples, collected from 25 subjects. Various static and dynamic features were extracted from the handgeometry. Randomforest was used to measure feature importance using the Gini Index. Finally, the support vectormachinewas implemented for person identification and evaluate its performance using identification accuracy. Theexperimental results showed that the proposed system produced an identification accuracy of 99.8% for arbitraryhand gesture-based patterns and 99.6% for the same dynamic hand gesture-based patterns. This result indicatedthat the proposed system can be used for person identification in the field of security.

Differences of Confucianism and Individualism on the Development of Chinese and American Personalities

Different personalities are shaped by different cultures.Chinese Confucianism and American Individualism took totally different developing routes.Understanding and contemplating their differences in personality can greatly enhance inter-cultural communication between these two countries.Based on the present researches and studies,this paper discusses the differences and current situation of Chinese and American personalities.Relevant suggestions are initiated aiming at learning from each other’s strong points and bridging the gap as to enhance the development of healthy personality and harmonious world.

An Analysis of the Heroine's Personalities in A Tale of Two Cities

Lucie was full of love in that period in which The French Revolution was happening. In that cold-blooded era which was lack of positive energy, Lucie used her own warm heart to influence others, to let other people strongly feel that there were love, kindness and humanity still existing in their society. Lucie was such a kind and loving person. Her relationship with three important characters and many things happening among them were vividly presented in A Tale of Two Cities. To a large extent, as the main female character, Lucie was different from Madame Defarge. Madame Defarge was full of hatred and revenge. She was just aware of the harm that others had had taken to her relatives and kept it in mind firmly, rather than melt it into haze. By contrast, Lucie would transform her hatred into love.

Differences in the Personalities of Two Miser-type Characters-Shylock and Jia Ren

For centuries, various miserly figures have been portrayed both in Chinese and alien literature. Shylock and Jia Ren are such characters in two famous plays. This thesis explores and analyses the differences in their personalities in order to bring a deepened understanding of miser-type characters as the outcome of their societies.

An Analysis of Personalities in The Rocking-Horse Winner from the Perspective of Cooperative Principle

Language serves for the expression of mind.By analyzing the conversations in the short story The Rocking-Horse Winner from the perspective of Grice’s cooperative principle,the paper draws a conclusion about the distinct personalities of the protago nists in the novel.According to the findings,the conversational implicature of the protagonists actually reflects their different char acters which are or aren’t the results of the industrial background,hypocritical or pure,greedy or diligent.In this way,the study hopes to provide readers an access to a deep understanding of the story and drive them to care more about the ever important yet complex parents-child,especially mother-child relation.

Different handsets,different personalities

iPhone owners are vainer(虚荣)and spend more on clothes and grooming(仪容)than those who have BlackBerrys and Android phones,new research claims.BlackBerry owners earn the most and are more likely to have long-term relationships,while people with Android handsets are most creative and the best cooks.The study,carried out by TalkTalk Mobile,surveyed2,000 owners of the three major smartphone brands to determine whether the choice of handset was an

Framework for Personalized Chronic Pain Management:Harnessing AI and Personality Insights for Effective Care

This paper introduces a cutting-edge framework for personalized chronic pain management,leveraging the power of artificial intelligence(AI)and personality insights.It explores the intricate relationship between personality traits and pain perception,expression,and management,identifying key correlations that influence an individual’s experience of pain.By integrating personality psychology with AI-driven personality assessment,this framework offers a novel approach to tailoring chronic pain management strategies for each patient’s unique personality profile.It highlights the relevance of well-established personality theories such as the Big Five and the Myers-Briggs Type Indicator(MBTI)in shaping personalized pain management plans.Additionally,the paper introduces multimodal AI-driven personality assessment,emphasizing the ethical considerations and data collection processes necessary for its implementation.Through illustrative case studies,the paper exemplifies how this framework can lead to more effective and patient-centered pain relief,ultimately enhancing overall well-being.In conclusion,the paper positions the need of an“AI-Powered Holistic Pain Management Initiative”which has the potential to transform chronic pain management by providing personalized,data-driven solutions and create a multifaceted research impact influencing clinical practice,patient outcomes,healthcare policy,and the broader scientific community’s understanding of personalized medicine and AI-driven interventions.

Personalized Perioperative Care for a Patient with a 10-Year-Old Postpartum Old Thrombus after Neoadjuvant Therapy for Breast Cancer

Breast cancer is one of the most common malignant tumors in women, and has become the main cause threatening women’s health. A case of breast cancer with neoadjuvant chemotherapy was discharged after active treatment and nursing.

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species.

Self-supervised recalibration network for person re-identification

The attention mechanism can extract salient features in images,which has been proved to be effective in improving the performance of person re-identification(Re-ID).However,most of the existing attention modules have the following two shortcomings:On the one hand,they mostly use global average pooling to generate context descriptors,without highlighting the guiding role of salient information on descriptor generation,resulting in insufficient ability of the final generated attention mask representation;On the other hand,the design of most attention modules is complicated,which greatly increases the computational cost of the model.To solve these problems,this paper proposes an attention module called self-supervised recalibration(SR)block,which introduces both global and local information through adaptive weighted fusion to generate a more refined attention mask.In particular,a special"Squeeze-Excitation"(SE)unit is designed in the SR block to further process the generated intermediate masks,both for nonlinearizations of the features and for constraint of the resulting computation by controlling the number of channels.Furthermore,we combine the most commonly used Res Net-50 to construct the instantiation model of the SR block,and verify its effectiveness on multiple Re-ID datasets,especially the mean Average Precision(m AP)on the Occluded-Duke dataset exceeds the state-of-the-art(SOTA)algorithm by 4.49%.

Asymmetric Janus Fibers with Bistable Thermochromic and Efficient Solar-Thermal Properties for Personal Thermal Management

The compelling combination of thermochromism and multifunctional wearable heaters in smart textiles has received increas-ing attention given the significant synergistic effect of green solar heat supply and energy storage.However,due to color incompatibility and poor knittability,developing fabrics with bistable thermochromic properties to achieve efficient solar-thermal management remains a challenging endeavor.Here,by combining bistable thermochromic,photochromic,and efficient solar-thermal properties,we constructed an asymmetric Janus(Janus A/B)fiber(BTCSJF)that can simultaneously display two colors and help with energy reserve while harvesting solar power.Benefiting greatly from donor-acceptor elec-tron transfer,dynamic hydrogen bonding,and supercooling properties,BTCSJF displays a quick switch in color,excellent bistability,and enhanced performance in storing phase-change energy.In addition,BTCSJF can be self-heated by 35.6℃higher than conventional fibers because it can capture and store solar energy.This research outlines a method to fabricate braided fibers with two theoretically incompatible properties that have promising implications for self-powered integrated bistable color-changing and personal thermal management applications.