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| 1 | Personality traits and emotional patterns in irritable bowel syndrome显示文摘The review focuses on those personality traits(neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness), constructs(alexithymia and distressed- Type D personality) and emotional patterns(negative and positive) that are of particular concern in health psychology, with the aim to highlight their potential role on the pathogenesis, onset, symptom clusters, clinical course, and outcome of irritable bowel syndrome(IBS). Personality traits and emotional patterns play key roles in affecting autonomic, immune, inflammatory, and endocrine functions, thus contributing not only to IBS clinical expression and symptomatic burden, but also to disease physiopathology. In this sense, psychological treatments should address those personality traits and emotional features that are constitutive of, and integral to IBS. The biopsychosocial model of illness applied to IBS acknowledges the interaction between biological, psychological, environmental, and social factors in relation to pain and functional disability. A holistic approach to IBS should take into account the heterogeneous nature of the disorder, and differentiate treatments for different types of IBS, also considering the marked individual differences in prevalent personality traits and emotional patterns. Beyond medications, and lifestyle/dietary interventions, psychological and educational treatments may provide the optimal chance of addressing clinical symptoms, comorbid conditions, and quality of life in IBS patients. | Maria Rosaria A Muscatello Antonio Bruno Carmela Mento Gianluca Pandolfo Rocco A Zoccali | 2016 | World Journal of Gastroenterology2016，22，28： | 7 |
| 2 | Emotional expectations influence neural sensitivity to fearful faces in humans:An event-related potential study显示文摘The present study tested whether neural sensitivity to salient emotional facial expressions was influenced by emotional expectations induced by a cue that validly predicted the expression of a subsequently presented target face. Event-related potentials (ERPs) elicited by fearful and neutral faces were recorded while participants performed a gender discrimination task under cued (‘expected’) and uncued (‘unexpected’) conditions. The behavioral results revealed that accuracy was lower for fearful compared with neutral faces in the unexpected condition, while accuracy was similar for fearful and neutral faces in the expected condition. ERP data revealed increased amplitudes in the P2 component and 200–250 ms interval for unexpected fearful versus neutral faces. By contrast, ERP responses were similar for fearful and neutral faces in the expected condition. These findings indicate that human neural sensitivity to fearful faces is modulated by emotional expectations. Although the neural system is sensitive to unpredictable emotionally salient stimuli, sensitivity to salient stimuli is reduced when these stimuli are predictable. | YANG JieMin1,2, YUAN JiaJin1,2 & LI Hong1,2 1Key Laboratory of Cognition and Personality (SWU), Ministry of Education of China, Chongqing 400715, China 2School of Psychology, Southwest University, Chongqin 400715, China | 2010 | Science China(Life Sciences)2010，53，11： | 6 |
| 3 | Building a Plutchik's Wheel Inspired Affective Model for Social Robots显示文摘As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied in different areas,such as entertainment and education,and can be easily understood and operated by robot designers.To meet these requirements,we propose an affective model including emotions,moods and personality traits for social robots to mimic the affect changes of human beings.Inspired by the Plutchik's Wheel of Emotions,we first construct an affective space which can simultaneously represent the affective concepts.According to the affective space,the model can be visualized vividly and easily understood.We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably.By tuning the parameters of the model,it can be flexibly applied in different areas.We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective. | Xianyu Qi Wei Wang Lei Guo Mingbo Li Xiaoyu Zhang Ran Wei | 2019 | Journal of Bionic Engineering2019，16，2： | 3 |
| 4 | Application of five-element music therapy in pain coping skills training in patients with knee osteoarthritis显示文摘Objective:The objective of this study is to assess the application effect of five elements music therapy introduced in the pain coping skills training of knee osteoarthritis(KOA).Materials and Methods:Totally,80 patients with KOA were selected and randomly divided into the experimental group(39 cases)and the control group(41 cases).The control group was only given routine nursing measures,and the experimental group was additionally treated with five-element music therapy on the basis of the control group,twice a day,28 days in total.The Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)was used to evaluate the functional status of the knee joint of the two groups.The clinical efficacy of the two groups was evaluated by Guiding Principles for Clinical Research of New Chinese Medicine in the Treatment of Osteoarthritis.Results:WOMAC score statistically significantly decreased in the experimental group(35.92±9.48 vs.16.17±5.43,P<0.01)and the control group(36.73±6.42 vs.22.53±7.51,P<0.01)after 28 days of intervention when compared with that before intervention;WOMAC score in the experimental group was lower than that of the control group after 28 days of intervention(16.17±5.43 vs.22.53±7.51,P<0.01).The total effective rate of the experimental group was statistically higher than that of the control group(82.0%vs.51.2%,χ2=11.97,P=0.003).Conclusion:The combination of five-element music therapy and routine nursing measures has better effect in relieving pain and bad emotions of patients with KOA when compared with routine nursing measures alone. | Suqian LI Jingjin XU Ling TANG Ye LI Huaxin WANG Lixue ZHAO Jianshuang YAO Shuying WANG Nan LI | 2021 | Journal of Integrative Nursing2021，3，4： | 2 |
| 5 | Mediating effect of interpersonal relations on negative emotions and dysmenorrhea in female adolescents显示文摘Background Good interpersonal relationships can improve the negative mood and, to a certain extent, may help relieve dysmenorrhea symptoms. However, there has been no study examining the role of interpersonal relationships in dysmenorrhea and how they may interact with negative emotions. Aims To investigate the connection between negative affect and dysmenorrhea, and the role of interpersonal relationships plays in this relationship. Methods The Cox Menstrual Symptom Scale (CMSS), short-form of Depression Anxiety Stress Scale, Interpersonal Comprehensive Diagnostic Scale and UCLA (University of California at Los Angeles) Loneliness Scale were applied to 855 adolescent nursing students to collect information on severity and frequency of dysmenorrheal symptoms, negative emotions (including depression, anxiety and stress), interpersonal problems and subjective experience of loneliness among them, and the relationship among these variables was examined. Results (1) Both the severity and frequency of dysmenorrhea were positively correlated with negative emotions, loneliness experience and interpersonal problems, while negatively correlated with age at menarche.(2) The negative emotions, romantic relationship and menarche age, but not loneliness and interpersonal problems, significantly contributed to both the severity and frequency of dysmenorrhea.(3) Mediation analysis revealed that the effects of loneliness and interpersonal problems on dysmenorrhea were totally mediated by negative emotions. Conclusions This investigation indicates that the relationship between interpersonal relationships and dysmenorrhea is mediated by negative emotions. | Lingli Mou Wei Lei Jing Chen Rong Zhang Kezhi Liu Xuemei Liang | 2019 | General Psychiatry2019，32，1： | 2 |
| 6 | Psycho-emotional content of illness narrative master plots for people with chronic illness:Implications for assessment显示文摘Illness narratives are stories of illness told by patients with chronic illness. One way of studying illness narratives is by considering illness narrative master plots.An examination of illness narrative master plots has revealed the importance of psycho-emotional information contained within the story that is told. There is a need for research to capture this information in order to better understand how common stories and experiences of illness can be understood and used to aid the mental well-being of individuals with chronic illness. The current editorial provides a suggestion of how this is possible. This editorial identifies that stories can be 'mapped' graphically by combining emotional responses to the illness experience with psychological responses of the illness experience relating to hope and psychological adaptation. Clinicians and researchers should consider the evidence presented within this editorial as:(1) A possible solution for documenting the mental wellbeing of individuals with chronic illness; and(2) As a tool that can be used to consider changes in mental well-being following an intervention. Further research using this tool will likely provide insights into how illness narrative master plots are associated together and change across the course of a chronic illness. This is particularly important for illness narrative master plots that are difficult to tell or that are illustrative of a decline in mental well-being. | Andy Soundy | 2018 | World Journal of Psychiatry2018，8，3： | 1 |
| 7 | Human Being Emotion in Cognitive Intelligent Robotic Control Pt I: Quantum/Soft Computing Approach显示文摘The article consists of two parts.Part I shows the possibility of quantum/soft computing optimizers of knowledge bases(QSCOptKB™)as the toolkit of quantum deep machine learning technology implementation in the solution’s search of intelligent cognitive control tasks applied the cognitive helmet as neurointerface.In particular case,the aim of this part is to demonstrate the possibility of classifying the mental states of a human being operator in on line with knowledge extraction from electroencephalograms based on SCOptKB™and QCOptKB™sophisticated toolkit.Application of soft computing technologies to identify objective indicators of the psychophysiological state of an examined person described.The role and necessity of applying intelligent information technologies development based on computational intelligence toolkits in the task of objective estimation of a general psychophysical state of a human being operator shown.Developed information technology examined with special(difficult in diagnostic practice)examples emotion state estimation of autism children(ASD)and dementia and background of the knowledge bases design for intelligent robot of service use is it.Application of cognitive intelligent control in navigation of autonomous robot for avoidance of obstacles demonstrated. | Alla A.Mamaeva Andrey V.Shevchenko Sergey V.Ulyanov | 2020 | Artificial Intelligence Advances2020，2，1： | 0 |
| 8 | Believing processes during the COVID-19 pandemic in individuals with bipolar disorder:An exploratory study显示文摘BACKGROUND Believing or“credition”refers to psychological processes that integrate the cognitions and emotions that influence our behavior.In the credition model by Angel and Seitz,four parameters are postulated:proposition,certainty,emotion and mightiness.It is assumed that believing processes are influenced by both the individual as well as socio-cultural factors and external circumstances.External or environmental circumstances can include threatening situations such as the ongoing pandemic.It has been hypothesized that believing processes related to the pandemic differ between individuals with bipolar disorder(BD)and healthy controls(HC).AIM To investigate credition in individuals with BD during the coronavirus disease 2019(COVID-19)pandemic.METHODS Psychiatrically stable individuals with BD(n=52)and age-and sex matched HC(n=52)participated in an online survey during the first lockdown of the COVID-19 pandemic.The survey took place between April 9^(th) and June 4^(th),2020,in Austria.Participants completed the Brief Symptom Inventory-18,the Beck Depression Inventory-Ⅱ,the Altman Self-Rating Mania Scale,the Pittsburgh Sleep Quality Index and a dedicated Believing Questionnaire assessing four parameters of credition(proposition,certainty,emotion and mightiness).The MAXQDA software was used to analyze the qualitative data.Statistical analyses included analyses of variance,a multivariate analysis of variance and a multivariate analysis of co-variance.RESULTS Individuals with BD reported significantly more negative propositions[F(1,102)=8.89,P=0.004,η2 p=0.08]and negative emotions[Welch´s F(1,82.46)=18.23,P<0.001,η2 p=0.18],while HC showed significantly more positive propositions[F(1,102)=7.78,P=0.006,η2 p=0.07]and emotions[F(1,102)=14.31,P<0.001,η2 p=0.12].In addition,individuals with BD showed a higher incongruence between their propositions and their emotions[F(1,102)=9.42,P=0.003,η2 p=0.08]and showed strong correlations between the parameters of the Believing Questionnaire and their psychiatric symptoms(r=0.51-0.77,all P<0.001).Positive as well as negative emotions and propositions were associated with scores measuring symptoms of depression,anxiety and sleep quality.CONCLUSION Believing parameters were associated with psychiatric symptoms in BD during the pandemic.Findings broaden knowledge about the susceptibility of believing processes for ambient challenges in individuals with BD. | Sophie Tietz Jolana Wagner-Skacel Hans-Ferdinand Angel Michaela Ratzenhofer Frederike T Fellendorf Eva Fleischmann Christof Körner Eva Z Reininghaus Rüdiger J Seitz Nina Dalkner | 2022 | World Journal of Psychiatry2022，12，7： | 0 |
| 9 | Personality Detection Using Context Based Emotions in Cognitive Agents显示文摘Detection of personality using emotions is a research domain in artificial intelligence.At present,some agents can keep the human’s profile for interaction and adapts themselves according to their preferences.However,the effective method for interaction is to detect the person’s personality by understanding the emotions and context of the subject.The idea behind adding personality in cognitive agents begins an attempt to maximize adaptability on the basis of behavior.In our daily life,humans socially interact with each other by analyzing the emotions and context of interaction from audio or visual input.This paper presents a conceptual personality model in cognitive agents that can determine personality and behavior based on some text input,using the context subjectivity of the given data and emotions obtained from a particular situation/context.The proposed work consists of Jumbo Chatbot,which can chat with humans.In this social interaction,the chatbot predicts human personality by understanding the emotions and context of interactive humans.Currently,the Jumbo chatbot is using the BFI technique to interact with a human.The accuracy of proposed work varies and improve through getting more experiences of interaction. | Nouh Sabri Elmitwally Asma Kanwal Sagheer Abbas Muhammad A.Khan Muhammad Adnan Khan Munir Ahmad Saad Alanazi | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 10 | The importance of managing emotions and mental health in this lockdown period显示文摘With hundreds of millions of people grappling with isolation and heightened anxiety,the Novel Coronavirus pandemic is likely to have a serious universal impact on mental health worldwide,especially the elderly.Before the spread of coronavirus pneumonia all over the world,Chinese data have shown that the elderly is the most vulnerable faced with such diseases.We should pay more attention to those older people and help them manage their emotions to reduce the negative effects of social and emotional distance. | Ana João Sepúlveda | 2020 | Life Research2020，3，3： | 0 |
| 11 | Retailers,You Can Get Omni-Shopper’s Satisfaction!显示文摘This paper evaluates the influence that information processing routes have on omni-shopping behavior,as well as analyzing the consequences of this behavior for retailers through a cognitive-affective approach.A sample of 705 mobile phone users was used for this purpose.The results obtained using the binomial logit model in a first phase and later with an application of structural equations,reflect that omni-shoppers have a more planned purchasing behavior than those who develop a one-stop shopping behavior.They search for information in a rational and deep way,spending time and effort.As for the consequences that the omni-channel behavior has for retailers,it has been found that those omni-shoppers who experience negative emotions with the retailer,have a low perceived value of the company and their satisfaction will also be negative. | Nuria Viejo-Fernández Sneha Saha | 2020 | Journal of Business Administration Research2020，3，4： | 0 |
| 12 | Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers显示文摘An important factor in the course of daily medical diagnosis and treatment is understanding patients’ emotional states by the caregiver physicians. However, patients usually avoid speaking out their emotions when expressing their somatic symptoms and complaints to their non-psychiatrist doctor. On the other hand, clinicians usually lack the required expertise(or time) and have a deficit in mining various verbal and non-verbal emotional signals of the patients. As a result, in many cases, there is an emotion recognition barrier between the clinician and the patients making all patients seem the same except for their different somatic symptoms. In particular, we aim to identify and combine three major disciplines(psychology, linguistics, and data science) approaches for detecting emotions from verbal communication and propose an integrated solution for emotion recognition support. Such a platform may give emotional guides and indices to the clinician based on verbal communication at the consultation time. | Peyman Adibi Simindokht Kalani Sayed Jalal Zahabi Homa Asadi Mohsen Bakhtiar Mohammad Reza Heidarpour Hamidreza Roohafza Hassan Shahoon Mohammad Amouzadeh | 2023 | World Journal of Psychiatry2023，13，1： | 0 |
| 13 | An Analysis of Colour Metaphors of Emotions in Jimmy’s Picture Book-Turn Lift,Turn Right显示文摘The analysis in this paper aims to find colour metaphors in the artist Jimmy Liao’s picture book Turn Lift,Turn right,and to use the pictures in this book to establish the relations between colour and emotions.This paper selects seven pictures of indoor scenes from this picture book,and brings forth an illustration by observing that different colours can be used as metaphor to convey different emotions.The results clearly indicate that the author Jimmy choose a large number of warm colour(such as yellow,red and orange)to present the positive emotions(like energy,passion and strength),while the cool colour(like blue and gray)to give out negative feelings(such as fear of loss,sorrow,heartbreaking). | Xiaoyang Qi | 2021 | Review of Educational Theory2021，4，3： | 0 |
| 14 | Amygdala-Inspired Affective Computing: to Realize Personalized Intracranial Emotions with Accurately Observed External Emotions显示文摘Artificial intelligence technology has revolutionized every industry and trade in recent years. However, its own development is encountering bottlenecks that it is unable to implement empathy with human emotions. So affective computing is getting more attention from researchers. In this paper, we propose an amygdala-inspired affective computing framework to realize the recognition of all kinds of human personalized emotions. Similar to the amygdala, the instantaneous emergency emotion is first computed more quickly in a low-redundancy convolutional neural network compressed by pruning and weight sharing with hashing trick. Then, the real-time process emotion is identified more accurately by the memory level neural networks, which is good at handling time-related signals. Finally, the intracranial emotion is recognized in personalized hidden Markov models. We demonstrate on Facial Expression of Emotion Dataset and the recognition accuracy of external emotions(including the emergency emotion and the process emotion) reached 85.72%. And the experimental results proved that the personalized affective model can generate desired intracranial emotions as expected. | Chao Gong Fuhong Lin Xianwei Zhou Xing Lü | 2019 | China Communications2019，16，8： | 0 |
| 15 | Effect of Detail Nursing Intervention on Headache and Negative Emotion in Patients with Subarachnoid Hemorrhage显示文摘objective: to explore the effect of detail nursing intervention on headache and negative emotion in patients with subarachnoid hemorrhage. Methods: the clinical data of 100 cases of subarachnoid hemorrhage from January 2015 to January 2017 of neurosurgery in our hospital were randomly divided into the control group and the experimental group, Detail nursing intervention in experimental group, Comparison of two groups of clinical nursing effects. Results the duration of hospitalization and headache in the experimental group were shorter than those in the control group. Fewer headaches than control group (P<0.05) Less headache than control group (p<0.05). Results: the results of SAS and SDS scores were significantly lower than those in the control group (p<0.05) after nursing in the experimental group. Conclusion: the patients with subarachnoid hemorrhage receive detailed nursing intervention;contribute to the alleviation of their headache symptoms, Relieves the patient of negative emotional problems. | Yangyang Zhao Jingyi Yang Zhenyao Wang Yingru Chen | 2018 | Journal of Advances in Medicine Science2018，1，3： | 0 |
| 16 | The Effects of Emotions between Teachers and Students显示文摘'Effects of emotions between teachers and students'is the core problem in the essay.According to the core problem,concerned books are used to supply with theory base.At the second stage,practice is applied.Then a conclusion is drawn that teachers'emotions have strong effects on students,on their emotions and study.Therefore,finding ways for teachers to influence students with positive emotions is necessary. | 王秀娟 | 2012 | 海外英语2012，，1X： | 0 |
| 17 | Perceptual lateralization of vocal stimuli in goats显示文摘Functional asymmetries, for example, the preferential involvement of 1 brain hemisphere to process stimuli, may increase brain efficiency and the capacity to carry out tasks simultaneously. We investigated which hemisphere was primarily invoIved in processing acoustic stimuli in goats using a headorienting paradigm. Three playbacks using goat vocalizations recorded in different contexts: food anticipation (positive), isolation (negative), food frustration (negative), as well as 1 playback involving dog barks (negative) were presented on the left and right sides of the test subjects simultaneously. The head-orienting response (left or right) and latency to resume feeding were recorded. The direction of the head-orienting response did not differ between the various playbacks. However, when the head-orienting response was tested against chanee level, goats showed a right bias regardless of the stimuli presented. Goats responded more to dog barks than to food frustration calls, whereas responses to food anticipation and isolation calls were intermediate. In addition, the latency to resume feeding, an indicator of fear reaction, was not affected by the kind of vocalization presented. These results provide evidence for asymmetries in goat vocal perceptio n of emotional-li nked con specific and heterospecific calls. They also suggest involvement of the left brain hemisphere for processing acoustic stimuli, which might have been perceived as familiar and non -threate ning. | Luigi Baciadonna Christian Nawroth Elodie F. Briefer Alan G. McELLiGOTT | 2019 | Current Zoology2019，65，1： | 0 |
| 18 | The neural bases of vitality forms显示文摘Unlike emotions,which are short-lasting events accompanied by viscero-motor responses,vitality forms are continuous internal states that modulate the motor behaviors of individuals and are devoid of the autonomic modifications that characterize real emotions.Despite the importance of vitality forms in social life,only recently have neurophysiological studies been devoted to this issue.The first part of this review describes f MRI experiments,showing that the dorso-central insula is activated during the execution,the perception and the imagination of arm actions endowed with different vitality forms as well as during the hearing and the production of speech conveying vitality forms.In the second part,we address the means by which the dorso-central insula modulates the networks for controlling action execution and how the sensory and interoceptive information is conveyed to this insular sector.Finally,we present behavioral data showing the importance of vitality forms in social interactions. | Giuseppe Di Cesare Marzio Gerbella Giacomo Rizzolatti | 2020 | National Science Review2020，7，1： | 0 |
| 19 | Emotion Based Signal Enhancement Through Multisensory Integration Using Machine Learning显示文摘Progress in understanding multisensory integration in human have suggested researchers that the integration may result into the enhancement or depression of incoming signals.It is evident based on different psychological and behavioral experiments that stimuli coming from different perceptual modalities at the same time or from the same place,the signal having more strength under the influence of emotions effects the response accordingly.Current research inmultisensory integration has not studied the effect of emotions despite its significance and natural influence in multisensory enhancement or depression.Therefore,there is a need to integrate the emotional state of the agent with incoming stimuli for signal enhancement or depression.In this study,two different neural network-based learning algorithms have been employed to learn the impact of emotions on signal enhancement or depression.It was observed that the performance of a proposed system for multisensory integration increases when emotion features were present during enhancement or depression of multisensory signals. | Muhammad Adnan Khan Sagheer Abbas Ali Raza Faheem Khan T.Whangbo | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 20 | The Laws of the Chemical Psychology显示文摘As a result of the research, new knowledge about the chemical mechanisms of mental processes in the brain was obtained,which allowed us to identify new patterns in chemical psychology. We proposed the laws of conservation of the quantity and energy of emotions. | Aibassov Yerkin Yemelyanova Valentina Savizky Ruben Askarova Gauhar | 2018 | Journal of Chemistry and Chemical Engineering2018，12，3： | 0 |
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