Conditional selection with CNN augmented transformer for multimodal affective analysis

Attention mechanism has been a successful method for multimodal affective analysis in recent years. Despite the advances, several significant challenges remain in fusing language and its nonverbal context information. One is to generate sparse attention coefficients associated with acoustic and visual modalities, which helps locate critical emotional se-mantics. The other is fusing complementary cross‐modal representation to construct optimal salient feature combinations of multiple modalities. A Conditional Transformer Fusion Network is proposed to handle these problems. Firstly, the authors equip the transformer module with CNN layers to enhance the detection of subtle signal patterns in nonverbal sequences. Secondly, sentiment words are utilised as context conditions to guide the computation of cross‐modal attention. As a result, the located nonverbal fea-tures are not only salient but also complementary to sentiment words directly. Experi-mental results show that the authors’ method achieves state‐of‐the‐art performance on several multimodal affective analysis datasets.

Better understanding of c-reactive protein and leukocytes in psychiatric inpatients with affective disorders:A biopsychosocial approach

BACKGROUND Affective disorders(AD)have been linked to inflammatory processes,although the underlying mechanisms of this relationship are still not fully elucidated.It is hypothesized that demographic,somatic,lifestyle,and personality variables predict inflammatory parameters in AD.AIM To identify biopsychosocial factors contributing to inflammation in AD measured with two parameters,C-reactive protein(CRP)and leukocytes.METHODS This observational study investigated 186 hospital inpatients diagnosed with AD using demographic parameters,serum inflammatory markers,somatic variables,psychological questionnaires,and lifestyle parameters.Hierarchical regression analyses were used to predict inflammatory markers from demographic,somatic,lifestyle,and personality variables.RESULTS Analyses showed that 33.8%of the variance of CRP was explained by body mass index and other somatic medication(e.g.anti-diabetics),age and education,and age of affective disorder diagnosis.For leukocytes,20.1%of the variance was explained by smoking,diet,metabolic syndrome(MetS),and anti-inflammatory medication(e.g.non-steroidal anti-inflammatory drugs).Other psychiatric or behavioural variables did not reach significance.CONCLUSION Metabolic components seem important,with mounting evidence for a metabolic affective disorder subtype.Lifestyle modifications and psychoeducation should be employed to prevent or treat MetS in AD.

Validation of the Chinese Version of the Affective Exercise Experiences Questionnaire (AFFEXX-C)

Despite the well-established benefits of regular physical activity(PA)on health,a large proportion of the world population does not achieve the recommended level of regular PA.Although affective experiences toward PA may play a key role to foster a sustained engagement in PA,they have been largely overlooked and crudely measured in the existing studies.To address this shortcoming,the Affective Exercise Experiences(AFFEXX)questionnaire has been developed to measure such experiences.Specifically,this questionnaire was developped to assess the following three domains:antecedent appraisals(e.g.,liking vs.disliking exercise in groups),core affective exercise experiences(i.e.,pleasure vs.displeasure,energy vs.tiredness,and calmness vs.tension),and exercise motivation(i.e.,attraction vs.antipathy toward exercise).The current study aimed to validate a Chinese version of the AFFEXX questionnaire(AFFEXX-C).In study 1,722 Chinese college students provided data for analyses of factorial,convergent,discriminant,criterion validity,and test-retest reliability of the AFFEXX-C.In addition,1,300 college students were recruited in study 2 to further validate its structural model.Results showed that the AFFEXX-C demonstrates a goodfit and reliability.Additionally,results further supported the hypothesized model based on previous research:antecedent appraisals predicted core affective exercise experiences,which in turn predicted attraction-antipathy toward physical exercise.The AFFEXX-C was found to be a reliable and valid measure of affective exercise experiences in a population of Chinese college students.

A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior.However,concerning the Affective Exercise Experiences(AFFEXX)questionnaire,it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity(refers to any bodily movement produced by skeletal muscles that requires energy expenditure).Furthermore,there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity(PA).In order to adress these gaps in the literature,we conducted two studies among Chinese collge students that aimed(i)to investigated whether the total score of the three AFFEXX-C constructs(antecedent appraisals,core affective exercise experiences,and attraction-antipathy towards exercise)is a relaible indicator that can be utilized in research and pratical settings and(ii)to evalute the specific psychological mechanisms that can explain the relationship between affective exercise experience and PA.In Study 1,we recruited 801 voluntary Chinese college students for bifactor and correlational analyses.In Study 2,875 Chinese college students were enrolled to verify our findings from Study 1 and to explore the aforementioned mechanism.Results from the bifactor analyses supported our hypothesis that the total scores of the three AFFEXX-C constructs can be used among Chinese college students to establish a link with PA.Additionally,our results suggested that core affective exercise experiences and attraction-antipathy mediated the relationship between antecedent appraisals and the level of moderate-to-vigorous intensity PA.Therefore,measuring affective exercise experiences using the AFFEXX-C,specifically the total scores of each individual construct may be a useful approach to predict future PA levels.

An Affective-Motivational Interface for a Pedagogical Agent

This research is framed within the affective computing, which explains the importance of emotions in human cognition (decision making, perception, interaction and human intelligence). Applying this approach to a pedagogical agent is an essential part to enhance the effectiveness of the teaching-learning process of an intelligent learning system. This work focuses on the design of the inference engine that will give life to the interface, where the latter is represented by a pedagogical agent. The inference engine is based on an affective-motivational model. This model is implemented by using artificial intelligence technique called fuzzy cognitive maps.

Affective Factors in English Teaching

Affective factors and cognitive factors are two important parts of English learning, However, English teaching in recent years have taken into special consideration the necessity of knowledge and intelligence and comparatively ignored the development of affection. It may greatly reduce students＇ English learning capacity and limit the whole development of students. This paper will discuss the definition and the importance of affection and some main affective factors, and illustrate some implications of how to implement practical affective activities.

Adjustment to affective factors in English learning by using Internet English Curriculum Resource

The new curriculum standard points out that affection is one of the most important goals of fundamental education. The non-target language environment is easier to cause the affective change of middle school students who are changeable in their affective state. Based on the affective filter hypothesis, this paper deals with the adjustment to affective factors in English learning by using Internet English Curriculum Resource, such as attitude and motivation, anxiety and inhibition, self-esteem and self-confidence. At last, some suggestions are offered to judge Internet English Curriculum Resource.

Affective Factors in Vocational College Students'English Learning

This paper focuses on the vocational college students' experiences in English learning, classroom activities, attitudes to their English learning and achievements. It aims to find out how to make use of their positive personal factors to improve their English achievement so that both vocational college teachers and students may gain some enlightenment from the study.

On Affective Strategies use in College Students' Autonomous English Learning

Autonomous study emphasizes the learner's initiative,enthusiasm and creativity.In all fields of education,there is growing emphasis on "learner-centered" teaching methods and the ability of learner autonomy.Many experts and scholars have found that learning strategies plays an important role in English language learning,but the importance of affective strategy use in English learning is often ignored by people.Therefore,this paper focuses on the frequencies of affective strategies use in English learning and their relationships so as to enable college students to use positive affective strategies effectively to improve their autonomous learning ability.

Affective Factors——Key Factors Influencing College Learners'Classroom

Foreign language teaching has shifted from teacher-centered teaching method to student-centered in recent years.Affective factors should be paid enough attention in teacher-learner interaction in.This paper aims to make an exploration into the effects of affective factors in college learners'classroom.

The Influences of Affective Variables on and Implications for English Teaching and Learning

Admittedly cognitive variables such as intelligence and aptitude exert great impact on English learning. Affective variables, however, are of intense importance in determining English learning as well, because affect is a starting machine that sets the learning mechanism in motion and learning will run into difficulty if affect does not work properly. Besides, there is mounting interest in exploring the affective domain. Therefore, this paper focuses upon the analyses of four affective variables(attitude, motivation, self-esteem and anxiety) that have bearings on English learning and sets forth Implications for English teaching.

Overcoming Affective Barriers in College English Learning

Nowadays,the development of economy as well as the progress of society requires better English competence of college students.As a result,a large number of college students are obsessedby affective barriers in their English learning,especially when they have to cope with CET 4 or CET 6,which is more and more difficult.This paper focuses on how to help college students overcome their affective barriers more effectively to improve their English learning.

Attaching Importance to the Learner's Affective Factors in English Teaching

Traditional English teaching lacks the consciousness of the importance of learner's affective factors and has trouble in training the qualified English speakers that the society needs.This paper talks about the importance of learner's motivation,attitude and personality.It is proposed that teachers should adopt the eclectic method accompanying with student-centered class.Teachers are asked to pay more attention to their different roles and the ways to create a positive climate for learning in class.

The Application of Affective Factors in College English Listening Teaching

The paper mainly discusses the importance of affective factors in college English listening teaching and gives some sug gestions on how to cultivate students'positive affective factors.

Contrastive Analysis of Impact by Affective Factors on Adult Foreign Language Learning and Child Language Development

Affective factors are the meaning of"decisive essence "in foreign language learning. Adult foreign language learning is much influenced by affective factors than children language development in the process of language development. In this paper, on the basis of a Krashen's"Affective Filter Hypothesis", the writer analyses the reasons, and analyses adult foreign language learning and child language development affect differently from four main affective factors: motivation, self-confidence,anxiety and empathy.

Glutamate transporters, EAAT1 and EAAT2, are potentially important in the pathophysiology and treatment of schizophrenia and affective disorders

Glutamate is the predominant excitatory neurotransmitter in the human brain and it has been shown that prolonged activation of the glutamatergic system leads to nerve damage and cell death. Following release from the pre-synaptic neuron and synaptic transmission, glutamate is either taken up into the presynaptic neuron or neighbouring glia by transmembrane glutamate transporters. Excitatory amino acid transporter(EAAT) 1 and EAAT2 are Na+-dependant glutamate transporters expressed predominantly in glia cells of the central nervous system. As the most abundant glutamate transporters, their primary role is to modulate levels of glutamatergic excitability and prevent spill over of glutamate beyond the synapse. This role is facilitated through the binding and transportation of glutamate into astrocytes and microglia. The function of EAAT1 and EAAT2 is heavily regulated at the levels of gene expression, post-transcriptional splicing, glycosylation states and cell-surface trafficking of the protein. Both glutamatergic dysfunction and glial dysfunction have been proposed to be involved in psychiatric disorder. This review will present an overview of the roles that EAAT1 and EAAT2 play in modulating glutamatergic activity in the human brain, and mount an argument that these two transporters could be involved in the aetiologies of schizophrenia and affective disorders as well as represent potential drug targets for novel therapies for those disorders.

Krashen's Input Hypothesis and Affective Filter Hypothesis and Their Enlightenment to English Teaching in China

"The Input Hypothesis"and"The Affective Filter Hypothesis"are the most important branches of the"Monitor The ory"declared by the famous American linguist Krashen in 1980s.This thesis is based on Krashen's Input Hypothesis and Affec tive Filter Hypothesis,aiming to provide an applicable guide for foreign language teachers and learners in China.

Amygdala-Inspired Affective Computing: to Realize Personalized Intracranial Emotions with Accurately Observed External Emotions

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.

Effect of Tongxinluo Capsule on Patients with Syndrome X and Affective Disorder

Background: To explore the therapeutic effect of Tongxinluo capsule (Tongxinluo) on patients with Syndrome X and Affective Disorder. Methods: Fifty-six patients with Syndrome X and Affective Disorder were randomly divided into a Tongxinluo capsule group and a placebo control group. The duration of treatment was 12 weeks. A 6-minute walking test, exercise load electrocardiogram and clinical symptom assessment were performed before and after treatment. After 12 weeks of treatment, the scores of the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were repeated. The levels of serum endothelin-1 (ET-1) and nitric oxide (NO) were measured before and after treatment. Results: Compared with the placebo control group, the Tongxinluo group SAS and SDS scores were lower than those before treatment (all P < 0.01), and the 6-minute walking distance increased significantly (P < 0.01). Clinical symptoms were significantly improved. The exercise test results suggested that, while improved, there was no significant difference (P > 0.05) when compared to before treatment. In the Tongxinluo treatment group, the levels of plasma endothelin-1 decreased significantly (P < 0.01) and nitric oxide levels were significantly increased (P < 0.01), with a significant difference when compared to the control group (P Conclusions: The Tongxinluo capsule can improve the Affective Disorder of Syndrome X, reduce the degree of anxiety and depression, increase exercise tolerance, reduce clinical symptoms, and improve vascular endothelial function.

An Improved Method for Web Text Affective Cognition Computing Based on Knowledge Graph

The goal of research on the topics such as sentiment analysis and cognition is to analyze the opinions,emotions,evaluations and attitudes that people hold about the entities and their attributes from the text.The word level affective cognition becomes an important topic in sentiment analysis.Extracting the(attribute,opinion word)binary relationship by word segmentation and dependency parsing,and labeling those by existing emotional dictionary combined with webpage information and manual annotation,this paper constitutes a binary relationship knowledge base.By using knowledge embedding method,embedding each element in(attribute,opinion,opinion word)as a word vector into the Knowledge Graph by TransG,and defining an algorithm to distinguish the opinion between the attribute word vector and the opinion word vector.Compared with traditional method,this engine has the advantages of high processing speed and low occupancy,which makes up the time-costing and high calculating complexity in the former methods.