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. Furth...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.展开更多
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 re...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展开更多
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...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.展开更多
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, ...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.展开更多
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 gr...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.展开更多
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 ...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.展开更多
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 st...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.展开更多
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 disti...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.展开更多
The aim of this population study was to identify personality traits among older (>65 years) male and female owners of cats and dogs and to compare their general health status in relation to their personality. Furth...The aim of this population study was to identify personality traits among older (>65 years) male and female owners of cats and dogs and to compare their general health status in relation to their personality. Further, the aim was to examine whether current cat and dog ownership could be predicted by the owners’ personality and health. Data were collected from the North-Trøndelag Health Study (HUNT) in Norway. Included were a total of 1897 cat or dog owners between the ages of 65 years and 101 years. The results showed that there were a higher proportion of introverted male cat owners than extraverted ones. Moreover, a majority of women with cats reported that their health was not good. Furthermore, female cat owners who displayed higher scores on neurotic traits experienced significantly poorer health compared to those female cat owners that experienced good health. The same was true for female cat owners who considered themselves to be introverted. Neither personality nor health could predict pet-ownership, but it was more likely for older individuals (80-101 years) to own a cat than a dog. This study has shown that human personality is associated with cat and dog ownership, but there are other factors connected with pet ownership as well.展开更多
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 ...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.展开更多
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 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%.展开更多
Moisture-enabled electricity(ME)is a method of converting the potential energy of water in the external environment into electrical energy through the interaction of functional materials with water molecules and can b...Moisture-enabled electricity(ME)is a method of converting the potential energy of water in the external environment into electrical energy through the interaction of functional materials with water molecules and can be directly applied to energy harvesting and signal expression.However,ME can be unreliable in numerous applications due to its sluggish response to moisture,thus sacrificing the value of fast energy harvesting and highly accurate information representation.Here,by constructing a moisture-electric-moisture-sensitive(ME-MS)heterostructure,we develop an efficient ME generator with ultra-fast electric response to moisture achieved by triggering Grotthuss protons hopping in the sensitized ZnO,which modulates the heterostructure built-in interfacial potential,enables quick response(0.435 s),an unprecedented ultra-fast response rate of 972.4 mV s^(−1),and a durable electrical signal output for 8 h without any attenuation.Our research provides an efficient way to generate electricity and important insight for a deeper understanding of the mechanisms of moisture-generated carrier migration in ME generator,which has a more comprehensive working scene and can serve as a typical model for human health monitoring and smart medical electronics design.展开更多
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, f...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.展开更多
Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide.Therapeutic failure in lung cancer(LUAD)is heavily influenced by drug resistance.This challenge stems from the diverse...Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide.Therapeutic failure in lung cancer(LUAD)is heavily influenced by drug resistance.This challenge stems from the diverse cell populations within the tumor,each having unique genetic,epigenetic,and phenotypic profiles.Such variations lead to varied therapeutic responses,thereby contributing to tumor relapse and disease progression.Methods:The Genomics of Drug Sensitivity in Cancer(GDSC)database was used in this investigation to obtain the mRNA expression dataset,genomic mutation profile,and drug sensitivity information of NSCLS.Machine Learning(ML)methods,including Random Forest(RF),Artificial Neurol Network(ANN),and Support Vector Machine(SVM),were used to predict the response status of each compound based on the mRNA and mutation characteristics determined using statistical methods.The most suitable method for each drug was proposed by comparing the prediction accuracy of different ML methods,and the selected mRNA and mutation characteristics were identified as molecular features for the drug-responsive cancer subtype.Finally,the prognostic influence of molecular features on the mutational subtype of LUAD in publicly available datasets.Results:Our analyses yielded 1,564 gene features and 45 mutational features for 46 drugs.Applying the ML approach to predict the drug response for each medication revealed an upstanding performance for SVM in predicting Afuresertib drug response(area under the curve[AUC]0.875)using CIT,GAS2L3,STAG3L3,ATP2B4-mut,and IL15RA-mut as molecular features.Furthermore,the ANN algorithm using 9 mRNA characteristics demonstrated the highest prediction performance(AUC 0.780)in Gefitinib with CCL23-mut.Conclusion:This work extensively investigated the mRNA and mutation signatures associated with drug response in LUAD using a machine-learning approach and proposed a priority algorithm to predict drug response for different drugs.展开更多
In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular ca...In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular carcinoma(HCC),which is characterized by high incidence and mortality rates,remains a major global health challenge primarily due to the critical issue of postoperative recurrence.Early recurrence,defined as recurrence that occurs within 2 years posttreatment,is linked to the hidden spread of the primary tumor and significantly impacts patient survival.Traditional predictive factors,including both patient-and treatment-related factors,have limited predictive ability with respect to HCC recurrence.The integration of machine learning algorithms is fueled by the exponential growth of computational power and has revolutionized HCC research.The study by Zhang et al demonstrated the use of a groundbreaking preoperative prediction model for early postoperative HCC recurrence.Challenges persist,including sample size constraints,issues with handling data,and the need for further validation and interpretability.This study emphasizes the need for collaborative efforts,multicenter studies and comparative analyses to validate and refine the model.Overcoming these challenges and exploring innovative approaches,such as multi-omics integration,will enhance personalized oncology care.This study marks a significant stride toward precise,efficient,and personalized oncology practices,thus offering hope for improved patient outcomes in the field of HCC treatment.展开更多
Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-...Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.展开更多
Medical Internet of Things(IoT)devices are becoming more and more common in healthcare.This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of mu...Medical Internet of Things(IoT)devices are becoming more and more common in healthcare.This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized way.Existing methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT devices.MAIPFE is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease detection.By using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be transformed.The Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature Selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing methods.Comprehensive metrics show the model’s superiority in real-time health analysis.The proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay reduction.Disease prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable recommendations.The research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.展开更多
This research paper explores the intersection of existential philosophy and psychological disorders in William Shakespeare’s Hamlet,with a focus on Narcissistic Personality Disorder(NPD)as viewed through the existent...This research paper explores the intersection of existential philosophy and psychological disorders in William Shakespeare’s Hamlet,with a focus on Narcissistic Personality Disorder(NPD)as viewed through the existentialist lens of Simone de Beauvoir.Drawing upon Beauvoir’s existentialist framework,the study delves into the complexities of identity,agency,and societal expectations as portrayed in the characters of Gertrude and Ophelia.Through an interdisciplinary approach,the paper examines how existential crises intertwine with narcissistic behaviors,shedding light on the psychological intricacies of Shakespeare’s iconic figures.By synthesizing literary analysis with psychological insights,the study offers valuable contributions to our understanding of human psychology,societal dynamics,and the timeless themes of existential authenticity portrayed in literature.展开更多
Introduction: The severity of Sars-Cov-2 infection is associated with the development of acute respiratory distress syndrome (ARDS). The progression to ARDS appears to be driven by a major inflammatory mechanism poten...Introduction: The severity of Sars-Cov-2 infection is associated with the development of acute respiratory distress syndrome (ARDS). The progression to ARDS appears to be driven by a major inflammatory mechanism potentially sensitive to corticosteroids. Observation: This article describes the case of an elderly patient was admitted to emergency departments for intense asthenia, accompanied by motor diarrhoea, dyspnoea with desaturation in ambient air, in a context of strong suspicion of infection linked to COVID-19. The article also reviews the existing literature on the diagnosis and treatment of this severe form of the disease. Conclusion: Corticosteroids, and in particular dexamethasone, have been shown to be effective in the management of patients with COVID-19, an oxygen-releasing disease.展开更多
文摘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.
文摘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
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.
文摘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.
文摘The aim of this population study was to identify personality traits among older (>65 years) male and female owners of cats and dogs and to compare their general health status in relation to their personality. Further, the aim was to examine whether current cat and dog ownership could be predicted by the owners’ personality and health. Data were collected from the North-Trøndelag Health Study (HUNT) in Norway. Included were a total of 1897 cat or dog owners between the ages of 65 years and 101 years. The results showed that there were a higher proportion of introverted male cat owners than extraverted ones. Moreover, a majority of women with cats reported that their health was not good. Furthermore, female cat owners who displayed higher scores on neurotic traits experienced significantly poorer health compared to those female cat owners that experienced good health. The same was true for female cat owners who considered themselves to be introverted. Neither personality nor health could predict pet-ownership, but it was more likely for older individuals (80-101 years) to own a cat than a dog. This study has shown that human personality is associated with cat and dog ownership, but there are other factors connected with pet ownership as well.
基金provided by the National Natural Science Foundation of China (Grant 32071491, 31772465, 31672299, 31572271, and 32260128)the Natural Sciences Foundation of the Tibetan (XZ202101ZR0051G)。
文摘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.
基金supported in part by the Natural Science Foundation of Xinjiang Uygur Autonomous Region(Grant No.2022D01B186 and No.2022D01B05)。
文摘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%.
基金the Natural Science Foundation of Beijing Municipality(2222075)National Natural Science Foundation of China(22279010,21671020,51673026)Analysis&Testing Center,Beijing Institute of Technology.
文摘Moisture-enabled electricity(ME)is a method of converting the potential energy of water in the external environment into electrical energy through the interaction of functional materials with water molecules and can be directly applied to energy harvesting and signal expression.However,ME can be unreliable in numerous applications due to its sluggish response to moisture,thus sacrificing the value of fast energy harvesting and highly accurate information representation.Here,by constructing a moisture-electric-moisture-sensitive(ME-MS)heterostructure,we develop an efficient ME generator with ultra-fast electric response to moisture achieved by triggering Grotthuss protons hopping in the sensitized ZnO,which modulates the heterostructure built-in interfacial potential,enables quick response(0.435 s),an unprecedented ultra-fast response rate of 972.4 mV s^(−1),and a durable electrical signal output for 8 h without any attenuation.Our research provides an efficient way to generate electricity and important insight for a deeper understanding of the mechanisms of moisture-generated carrier migration in ME generator,which has a more comprehensive working scene and can serve as a typical model for human health monitoring and smart medical electronics design.
基金the Competitive Research Fund of the University of Aizu,Japan.
文摘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.
文摘Lung cancer is the most prevalent cancer diagnosis and the leading cause of cancer death worldwide.Therapeutic failure in lung cancer(LUAD)is heavily influenced by drug resistance.This challenge stems from the diverse cell populations within the tumor,each having unique genetic,epigenetic,and phenotypic profiles.Such variations lead to varied therapeutic responses,thereby contributing to tumor relapse and disease progression.Methods:The Genomics of Drug Sensitivity in Cancer(GDSC)database was used in this investigation to obtain the mRNA expression dataset,genomic mutation profile,and drug sensitivity information of NSCLS.Machine Learning(ML)methods,including Random Forest(RF),Artificial Neurol Network(ANN),and Support Vector Machine(SVM),were used to predict the response status of each compound based on the mRNA and mutation characteristics determined using statistical methods.The most suitable method for each drug was proposed by comparing the prediction accuracy of different ML methods,and the selected mRNA and mutation characteristics were identified as molecular features for the drug-responsive cancer subtype.Finally,the prognostic influence of molecular features on the mutational subtype of LUAD in publicly available datasets.Results:Our analyses yielded 1,564 gene features and 45 mutational features for 46 drugs.Applying the ML approach to predict the drug response for each medication revealed an upstanding performance for SVM in predicting Afuresertib drug response(area under the curve[AUC]0.875)using CIT,GAS2L3,STAG3L3,ATP2B4-mut,and IL15RA-mut as molecular features.Furthermore,the ANN algorithm using 9 mRNA characteristics demonstrated the highest prediction performance(AUC 0.780)in Gefitinib with CCL23-mut.Conclusion:This work extensively investigated the mRNA and mutation signatures associated with drug response in LUAD using a machine-learning approach and proposed a priority algorithm to predict drug response for different drugs.
文摘In this editorial,we comment on the article by Zhang et al entitled Development of a machine learning-based model for predicting the risk of early postoperative recurrence of hepatocellular carcinoma.Hepatocellular carcinoma(HCC),which is characterized by high incidence and mortality rates,remains a major global health challenge primarily due to the critical issue of postoperative recurrence.Early recurrence,defined as recurrence that occurs within 2 years posttreatment,is linked to the hidden spread of the primary tumor and significantly impacts patient survival.Traditional predictive factors,including both patient-and treatment-related factors,have limited predictive ability with respect to HCC recurrence.The integration of machine learning algorithms is fueled by the exponential growth of computational power and has revolutionized HCC research.The study by Zhang et al demonstrated the use of a groundbreaking preoperative prediction model for early postoperative HCC recurrence.Challenges persist,including sample size constraints,issues with handling data,and the need for further validation and interpretability.This study emphasizes the need for collaborative efforts,multicenter studies and comparative analyses to validate and refine the model.Overcoming these challenges and exploring innovative approaches,such as multi-omics integration,will enhance personalized oncology care.This study marks a significant stride toward precise,efficient,and personalized oncology practices,thus offering hope for improved patient outcomes in the field of HCC treatment.
基金This work has been partially supported by FEDER and the State Research Agency(AEI)of the Spanish Ministry of Economy and Competition under Grant SAFER:PID2019-104735RB-C42(AEI/FEDER,UE)the General Subdirection for Gambling Regulation of the Spanish ConsumptionMinistry under the Grant Detec-EMO:SUBV23/00010the Project PLEC2021-007681 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.
文摘Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making them appropriate for the development of user-centric applications.
文摘Medical Internet of Things(IoT)devices are becoming more and more common in healthcare.This has created a huge need for advanced predictive health modeling strategies that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized way.Existing methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical IoT devices.MAIPFE is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable AI for real-time health monitoring and disease detection.By using AI for early disease detection,personalized health recommendations,and transparency,healthcare will be transformed.The Multimodal Approach Integrating Pre-emptive Analysis,Personalized Feature Selection,and Explainable AI(MAIPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable AI,improves disease detection precision over existing methods.Comprehensive metrics show the model’s superiority in real-time health analysis.The proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay reduction.Disease prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAIPFE can revolutionize healthcare with preemptive analysis,personalized health insights,and actionable recommendations.The research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.
文摘This research paper explores the intersection of existential philosophy and psychological disorders in William Shakespeare’s Hamlet,with a focus on Narcissistic Personality Disorder(NPD)as viewed through the existentialist lens of Simone de Beauvoir.Drawing upon Beauvoir’s existentialist framework,the study delves into the complexities of identity,agency,and societal expectations as portrayed in the characters of Gertrude and Ophelia.Through an interdisciplinary approach,the paper examines how existential crises intertwine with narcissistic behaviors,shedding light on the psychological intricacies of Shakespeare’s iconic figures.By synthesizing literary analysis with psychological insights,the study offers valuable contributions to our understanding of human psychology,societal dynamics,and the timeless themes of existential authenticity portrayed in literature.
文摘Introduction: The severity of Sars-Cov-2 infection is associated with the development of acute respiratory distress syndrome (ARDS). The progression to ARDS appears to be driven by a major inflammatory mechanism potentially sensitive to corticosteroids. Observation: This article describes the case of an elderly patient was admitted to emergency departments for intense asthenia, accompanied by motor diarrhoea, dyspnoea with desaturation in ambient air, in a context of strong suspicion of infection linked to COVID-19. The article also reviews the existing literature on the diagnosis and treatment of this severe form of the disease. Conclusion: Corticosteroids, and in particular dexamethasone, have been shown to be effective in the management of patients with COVID-19, an oxygen-releasing disease.
