词汇核心义下“统”“绪”词义辨析

核心义对词义引申系统具有统摄作用,本义相同的同义词在词义引申运动中往往发展出不同的义位,受到不同核心义的制约可能是其原因。文章试以“统”“绪”为例,对二者进行词义分析,发现“统”“绪”在本义均为“丝头”的情况下,因分别受到“总系于端首”“由端头而续”两个不同核心义的制约,而发展出截然不同的意义系统,仅在少数义位上偶然重合。

内观认知疗法对医学生焦虑水平、自我效能感和应对方式的干预及机制

目的:探究内观认知疗法对医学生焦虑水平、自我效能感和应对方式的影响,并考察医学生内观认知疗法干预、自我效能感、应对方式和焦虑水平间的关系,以期为医学生心理健康教育工作和NCT疗法的作用机制研究提供理论支持。方法:采用随机数字表法将70名符合筛选标准的研究对象随机分配到内观认知疗法组和心理健康教育组,每组35人。内观认知疗法组接受为期7天的内观认知疗法干预,心理健康教育组接受相同时间的常规心理健康教育,最终共68人完成试验(内观认知疗法组34人,心理健康教育组34人)。干预前后使用SAS、GSES、SCSQ量表对两组研究对象进行测评。结果:①干预前,内观认知疗法组与心理健康教育组在焦虑,自我效能感,积极和消极应对方式得分上均不存在显著差异。②干预后,内观认知疗法组焦虑得分显著降低(t=5.835;P<0.01),自我效能感和积极应对方式得分均显著升高(t=2.289,4.668;P<0.05),消极应对方式得分不存在显著差异,干预前后心理健康教育组在上述所有量表得分中均不存在显著差异。③干预后,内观认知疗法组自我效能感和积极应对方式得分显著高于心理健康教育组(t=2.653,3.122;P<0.01),焦虑得分显著低于心理健康组(t=2.562;P<0.05)。④中介效应检验方面,内观认知疗法既可以直接影响医学生焦虑水平(β=-0.293,95%CI=-3.755~0.008),也可以通过自我效能感的中介作用(β=-0.307,95%CI=-0.612~-0.028)、积极应对方式的中介作用(β=0.140,95%CI=-0.293~-0.004)及自我效能感和积极应对方式的链式中介作用(β=0.222,95%CI=-0.553~-0.022)间接影响医学生焦虑水平。结论:内观认知疗法是一种能够有效降低医学生焦虑水平的干预手段,既能直接缓解焦虑,也能通过提高医学生自我效能感水平,改善积极应对方式间接降低医学生焦虑水平。

跑步对情绪调节机制的探讨

情绪调节对于人类的身心健康至关重要。近年来,越来越多的研究表明,跑步作为一种有氧运动,对情绪调节具有显著的积极影响。该文旨在通过综述现有的相关研究成果,探讨跑步对情绪调节机制的影响及其潜在的神经生物学基础。首先,将回顾跑步对情绪调节的直接效应。其次,将探讨跑步对情绪调节的中介效应,包括身体活动、社会交流和自我效能感等因素的影响。最后,将讨论跑步对情绪调节的神经生物学基础,包括调节神经递质释放,神经可塑性改变,调节神经内分泌系统。通过对跑步对情绪调节机制的深入探讨,可以更好地理解跑步对情绪健康的积极影响,并提供相关的指导和建议。

Cascaded projection of Gaussian mixture model for emotion recognition in speech and ECG signals

A cascaded projection of the Gaussian mixture model algorithm is proposed.First,the marginal distribution of the Gaussian mixture model is computed for different feature dimensions, and a number of sub-classifiers are generated using the marginal distribution model.Each sub-classifier is based on different feature sets.The cascaded structure is adopted to fuse the sub-classifiers dynamically to achieve sample adaptation ability.Secondly,the effectiveness of the proposed algorithm is verified on electrocardiogram emotional signal and speech emotional signal.Emotional data including fidgetiness,happiness and sadness is collected by induction experiments.Finally,the emotion feature extraction method is discussed,including heart rate variability, the chaotic electrocardiogram feature and utterance level static feature.The emotional feature reduction methods are studied, including principle component analysis,sequential forward selection, the Fisher discriminant ratio and maximal information coefficient.The experimental results show that the proposed classification algorithm can effectively improve recognition accuracy in two different scenarios.

Effects of Neonatal Tactile Stimulation and Maternal Separation on the Anxiety and the Emotional Memory in Adult Female Rats

We investigated the long-lasting effects of early postnatal tactile stimulation （TS） and maternal separation （MS） on the emotional behaviors of adult female rats. A split-litter design was introduced to remove confusing factors such as maternal disturbance. Pups of the non-tactile stimulation （NTS） group did not receive any handling. Pups subjected to the TS treatment were handled and marked for approximately 30 s daily from postnatal days （PND） 2 - 9 or from PND 10 - 17. Pups subjected to the MS treatment were handled and marked in the same way as the TS pups and then individually placed in a cup with familiar nest bedding for 1 h daily. At the age of 3 months, female rats with different neonatal experiences were employed in the light/dark box test and the one-trial passive avoidance response. Both PND 2 - 9 TS and PND 10 - 17 TS groups exhibited more time spent in the illuminated chamber of the light/dark box, and longer step-through latencies in the passive avoidance response when compared to the NTS group, indicating that early life TS treatment reduced novelty-induced anxious emotion and facilitated the retention of emotional memory in adult female rats. No significant effects were found on any behavioral measures between the MS groups and the TS groups, suggesting that neonatal short-time MS treatment was not intensive enough to alter the emotional behaviors, at least in female rats. Infantile age was not an effective factor for these measures. This result supports the hypothesis that neonatal tactile stimulation and maternal separation lead to different effects on the neural development of postnatal pups.

Analysis of adversity quotient of nursing students in Macao:A crosssection and correlation study

Objectives: To investigate the adversity quotient (AQ) of Macao undergraduate nursing students and analyse its influencing factors.Methods:A cross-section design was used,and a convenience sample of nursing students(n=158 valid)was selected from a tertiary institute in Macao.In addition to demographic questions,the Chinese versions of the Adversity Quotient Scale,the Emotional Intelligence(EI)Scale,the Simplified Coping Style Questionnaire and the Parenting Styles Scale were used to assess the students'characteristics.Results:The average AQ score of the students was 116.72±11.39.AQ scores were negatively correlated with coping-negative,and maternal style(excessive interference,excessive protection)(r=-0.332,P<0.001;r=-0.167,P=0.036).Coping-negative entered the regression equation(F=19.154,P<0.001).The female nursing students had higher scores in ownership dimension of AQ than their male counterparts(31.98±3.26 vs.29.21±3.08,t=-4.442,P<0.001).Conclusions:The average AQ scores of Macao undergraduate nursing students were moderate.The female nursing students are more likely to attribute the cause of adversity to themselves,and specific psychosocial and cultural issues may be at play.There is a necessity for Macao nursing students to improve their ability to overcome setbacks.Special attention should be paid to the cultivation of students'positive coping styles.

Single-trial EEG-based emotion recognition using temporally regularized common spatial pattern

This study addresses the problem of classifying emotional words based on recorded electroencephalogram （EEG） signals by the single-trial EEG classification technique. Emotional two-character Chinese words are used as experimental materials. Positive words versus neutral words and negative words versus neutral words are classified, respectively, using the induced EEG signals. The method of temporally regularized common spatial patterns （TRCSP） is chosen to extract features from the EEG trials, and then single-trial EEG classification is achieved by linear discriminant analysis. Classification accuracies are between 55% and 65%. The statistical significance of the classification accuracies is confirmed by permutation tests, which shows the successful identification of emotional words and neutral ones, and also the ability to identify emotional words. In addition, 10 out of 15 subjects obtain significant classification accuracy for negative words versus neutral words while only 4 are significant for positive words versus neutral words, which demonstrate that negative emotions are more easily identified.

Emotional State Transition Model Based on Stimulus and Personality Characteristics

In order to use mathematical methods to study how cognitive reappraisal strategies affect the output state of emotions,Gross's cognitive reappraisal strategy is transformed into a quantitative parameter which is proposed to describe the general perception of emotional events on the basis of the emotion regulation.According to Gross's emotional regulation model,the Finite State Machine(FSM) model is used for describing the process of emotional state transition and the Likert 5 grading scale is introduced to study the level of an individual's reappraisal according to the participant's self-evaluation.The experimental results verify that the algorithm can effectively describe the relationship between the reappraisal strategy,emotional events and an emotiongenerative process.There are multiple dimensions of a human's emotional state.Thus,in the field of human-computer interaction,further research requires the development of a specific algorithm which can be implemented by a computer for the emotion regulation process.

Self-perceptions and social–emotional classroom engagement following structured physical activity among preschoolers: A feasibility study

Background: The well-rounded development of the child, including physical, cognitive, emotional, and social health, may be the most efficient route to well-being and academic success. The primary goal was to investigate the feasibility of implementing a 12-week structured program of physical activity(PA) incorporating cognitive, social, and emotional elements in preschool. Additionally, this study, using a within-subject design,examined the acute effects of a PA session on classroom engagement and changes on perceived competence and peer acceptance from the first to the last week of the program.Methods: Twenty-seven preschoolers(mean age = 4.2 years) completed the Pictorial Scale of Perceived Competence and Social Acceptance for Young Children before and after a twice-weekly PA program. Unobtrusive classroom observations were conducted for verbal, social, and affective engagement during the first and last week of the program, both following a structured PA session(experimental day) and on a day without PA(control day). Treatment fidelity was monitored to ensure that the intervention was delivered as designed.Results: The children exhibited longer periods of verbal and social engagement during classroom periods that followed PA sessions than on non-PA days. Children also expressed more positive affect following PA sessions during the last week of the PA program. Despite high baseline scores,perceptions of general competence increased meaningfully(η2= 0.15, p = 0.05), driven by increase in perceptions of cognitive competence(η2= 0.15,p = 0.06).Conclusion: This study demonstrates the feasibility of providing structured PA program to preschoolers. Moreover, these initial findings suggest that purposely designed, structured PA may help advance the social–emotional engagement and perceived competence of preschool children.

Application of rational emotive behavior therapy in patients with colorectal cancer undergoing adjuvant chemotherapy

Objective:This study aimed to explore the effects of our rational emotive behavior therapy(REBT)program on symptoms,anxiety,depression,and sleep state in patients with colorectal cancer(CRC)undergoing chemotherapy.Methods:From October 2020 to May 2021,fifty-six patients with CRC in a hospital in the Hunan Province were randomly divided into an intervention group(n=28)and a control group(n=28).The patients in the intervention group completed a 6-week REBT program based on routine nursing care,including four courses:1)establish a relationship and formulate health files;2)group communications and study symptom management;3)continuously provide health knowledge and strengthen healthy behavior;and 4)review the treatment and summary.The control group maintained routine nursing care.The simplified Chinese version of the Memorial Symptom Assessment Scale Short Form(MSASeSFeSC),the Hospital Anxiety and Depression Scale(HADS),and the Pittsburgh Sleep Quality Index(PSQI)scale were used to investigate and compare the intervention effects of the two groups at baseline(T1,before the intervention),four weeks(T2),and six weeks(T3)after the intervention.Results:The intervention group was significantly improved in symptoms,anxiety,depression,and sleep state,compared with the control group.At T2,MSASeSFeSC(24.43±4.26 vs.28.07±3.91),symptom distress(17.29±4.04 vs.19.39±3.59),symptom frequency(7.14±1.51 vs.8.68±1.42),HADS(13.68±3.38 vs.15.86±3.79),anxiety(3.89±1.85 vs.5.18±2.18),and depression(9.79±2.06 vs.10.68±2.23),showed that the difference between the two groups was statistically significant(P<0.05).At T3,MSASeSFeSC(23.89±3.54 vs.30.14±3.94),symptom distress(17.61±3.52 vs.21.32±3.57),symptom frequency(6.29±1.49 vs.8.82±1.47),HADS(11.82±2.57 vs.16.29±3.13),anxiety(3.21±1.64 vs.5.61±1.77),and depression(8.61±1.52 vs.10.68±1.81),showed that the difference between the two groups was statistically significant(P<0.05).The sleep state of the intervention group was better than the control group at T3,with decreased score of PSQI[4.00(3.00,8.00)vs.9.00(7.00,12.50),Z=-3.706,P<0.001].Conclusion:The 6-week REBT program can effectively improve the symptom,anxiety,depression,and sleep state of patients with CRC undergoing chemotherapy,which could as a care plan for patients with CRC who are repeatedly admitted to the hospital for chemotherapy.

Effects of mindfulness-based psychological care on mood and sleep of leukemia patients in chemotherapy

Purpose:The aim of this research was to explore the benefits of mindfulness-based psychological care(MBPC)and assess whether the intervention would be beneficial in reducing insomnia and emotional symptoms of leukemia patients receiving chemotherapy.Methods:A randomized control design study was applied in two hematology departments in a hospital in Zhengzhou.Patients in the experimental group received mindfulness-based psychological care(MBPC),and those in the control group received conventional care.Anxiety,depression,and sleeping problems were measured using the Self-Rating Anxiety Scale,Self-Rating Depression Scale,and the Pittsburgh Sleep Quality Index.Results:Statistically significant differences were observed among anxiety,depression,and sleeping problems between the two groups in the post-test(P<0.05).A significant decrease in anxiety and depression and an improvement in sleep were observed between pre-and post-interventions(P<0.05)in the experimental group.Conclusions:MBPC significantly improved sleep quality and mood of the experimental group.It is an effective complementary therapy for leukemia treatment that is inexpensive,noninvasive,and associated with relaxation and pain reduction.

SPEECH EMOTION RECOGNITION USING MODIFIED QUADRATIC DISCRIMINATION FUNCTION

Quadratic Discrimination Function （QDF） is commonly used in speech emotion recognition, which proceeds on the premise that the input data is normal distribution. In this paper, we propose a transformation to normalize the emotional features, emotion recognition. Features based on prosody then derivate a Modified QDF （MQDF） to speech and voice quality are extracted and Principal Component Analysis Neural Network （PCANN） is used to reduce dimension of the feature vectors. The results show that voice quality features are effective supplement for recognition, and the method in this paper could improve the recognition ratio effectively.

Tracking facial features with occlusions

Facial expression recognition consists of determining what kind of emotional content is presented in a human face. The problem presents a complex area for exploration, since it encompasses face acquisition, facial feature tracking, facial ex- pression classification. Facial feature tracking is of the most interest. Active Appearance Model (AAM) enables accurate tracking of facial features in real-time, but lacks occlusions and self-occlusions. In this paper we propose a solution to improve the accuracy of fitting technique. The idea is to include occluded images into AAM training data. We demonstrate the results by running ex- periments using gradient descent algorithm for fitting the AAM. Our experiments show that using fitting algorithm with occluded training data improves the fitting quality of the algorithm.

Artificial emotional model based on finite state machine

According to the basic emotional theory, the artificial emotional model based on the finite state machine（FSM） was presented. In finite state machine model of emotion, the emotional space included the basic emotional space and the multiple emotional spaces. The emotion-switching diagram was defined and transition fimction was developed using Markov chain and linear interpolation algorithm. The simulation model was built using Stateflow toolbox and Simulink toolbox based on the Matlab platform. And the model included three subsystems： the input one, the emotion one and the behavior one. In the emotional subsystem, the responses of different personalities to the external stimuli were described by defining personal space. This model takes states from an emotional space and updates its state depending on its current state and a state of its input （also a state-emotion）. The simulation model realizes the process of switching the emotion from the neutral state to other basic emotions. The simulation result is proved to correspond to emotion-switching law of human beings.

Effects of mindfulness meditation on trait mindfulness,perceived stress,emotion regulation,and quality of life in hemodialysis patients:A randomized controlled trial

Objective:This study aimed to examine the effects of mindfulness meditation on trait mindfulness,perceived stress,emotion regulation,and quality of life in end-stage renal disease patients undergoing hemodialysis.Methods:An experimental study with repeated measures design was conducted among a sample of 74 end-stage renal disease patients undergoing hemodialysis between January and May 2021 in the dialysis center at Jahra hospital,Kuwait.The patients were randomly assigned to the experimental(n?37)and control groups(n?37).The experimental group participated in 30-min mindfulness meditation sessions(three sessions a week for five weeks)held during their hemodialysis sessions;the participants in the control group were instructed to sit with their eyes closed and relaxed for 30 min three times a week for five weeks during hemodialysis sessions.The dependent variables of both groups were measured at baseline(T0),middle of intervention(T1),and end of intervention(T2)using the Mindful Attention Awareness Scale(MAAS),Perceived Stress Scale(PSS),Emotion Regulation Questionnaire(ERQ),and Kidney Disease Quality of Life(KDQOL-36)questionnaire.The study was registered in the ClinicalTrial.gov(Identifier:NCT05176730).Results:The repeated measures ANOVA(within-subject)results for the experimental group showed that mindfulness meditation had significantly decreased perceived stress by the end of the intervention.Also,mindfulness meditation improved mindfulness,emotion regulation,and kidney disease-related quality of life in the experimental group,and this improvement occurred significantly at both T1 and T2.The repeated measures ANOVA(within and between-subject)results showed that the experimental group,as compared to the control group,had lower perceived stress,higher trait mindfulness,higher emotional regulation,and higher kidney disease-related quality of life over time.Conclusions:The positive findings of this study offer health policy-makers and hospital administrators a promising tool to use with patients undergoing hemodialysis as a way to manage stress and improve quality of life.However,this study should be replicated in multiple settings with follow-up assessments.

Variation of Alkaline Phosphatase Activity in Sediments of Shrimp Culture Ponds and Its Relationship with the Contents of C,N and P

Nine enclosures (5 m x 5 m) were built in a Fenneropenaeus chinensis culture pond of Rushan Gulf in April, 2001. The probiotics and BIO ENERGIZER solution were applied for disparate treatments. Variations of alkaline phosphatase ac- tivity (APA) and its relationship with the contents of C, N and P in sediments were studied. Results show that APA of sedi- ments increases from 3.096 nmolg-1min-1 to 5.407 nmol g-1min-1 in culture period; the bacteria biomass is not the only factor to determine APA; the contents of total P and total organic carbon have a significant positive correlation with APA, while that of total nitrogen has a negative correlation. In addition, the contents of inorganic P and organic P are not regular with APA. By comparison, TOC shows a more significant coherence with APA, meaning that organic pollution in sediments af- fects APA remarkably.

Emotional Vector Distance Based Sentiment Analysis of Wakamono Kotoba

In this paper,we propose a method for estimating emotion in Wakamono Kotoba that were not registered in the system,by using Wakamono Kotoba example sentences as features.The proposed method applies Earth Mover's Distance(EMD) to vector of words.As a result of the evaluation experiment using 14 440 sentences,higher estimation accuracy is obtained by considering emotional distance between words-an approach that had not been used in the conventional research-than by using only word importance value.

Sense of courage:The mediating role of courage between emotional reflexivity and work-life integration among nurses in Indian hospitals

Objectives:This study aimed to determine the relationship between emotional reflexivity and work-life integration through the mechanism of moral courage and enhance our understanding of the importance of these nursing concepts to enable the nurses to develop better coping strategies for work-life integration.Methods:A cross-sectional survey was performed with 249 nurses,including staff nurses,ICU and critical care nurses,operation theatre nurses,pediatric nurses from 17 hospitals.Emotional Reflexivity,work-life integration,and courage were measured using a demographic information questionnaire,Life Project Reflexivity Scale(LPRS),Nurse’s Moral Courage Scale(NMCS),andWork-Life Boundary Enactment(WLBE)scale.A series of multiple regressions analyzed the mediating effect.Results:Emotional Reflexivity was positively correlated with work-life integration(b=0.66,P<0.01).There was a positive correlation between emotional reflexivity and moral courage.But the path did not get the necessary support in the structural equation modeling(SEM)(b=0.13,P=0.40).When controlling for courage(b=0.42,P<0.01),the association was significant between emotional reflexivity and work-life integration with partial mediation.Conclusion:The study reported a positive correlation between reflexivity and work-life integration.Thus,nurses’work-life integration becomes better by reinforcing their emotional reflexivity and moral courage.

Sentiment classification model for bullet screen based on self-attention mechanism

With the development of short video industry,video and bullet screen have become important ways to spread public opinions.Public attitudes can be timely obtained through emotional analysis on bullet screen,which can also reduce difficulties in management of online public opinions.A convolutional neural network model based on multi-head attention is proposed to solve the problem of how to effectively model relations among words and identify key words in emotion classification tasks with short text contents and lack of complete context information.Firstly,encode word positions so that order information of input sequences can be used by the model.Secondly,use a multi-head attention mechanism to obtain semantic expressions in different subspaces,effectively capture internal relevance and enhance dependent relationships among words,as well as highlight emotional weights of key emotional words.Then a dilated convolution is used to increase the receptive field and extract more features.On this basis,the above multi-attention mechanism is combined with a convolutional neural network to model and analyze the seven emotional categories of bullet screens.Testing from perspectives of model and dataset,experimental results can validate effectiveness of our approach.Finally,emotions of bullet screens are visualized to provide data supports for hot event controls and other fields.

ANALYSIS OF AFFECTIVE ECG SIGNALS TOWARD EMOTION RECOGNITION

Recently,as recognizing emotion has been one of the hallmarks of affective computing,more attention has been paid to physiological signals for emotion recognition.This paper presented an approach to emotion recognition using ElectroCardioGraphy(ECG) signals from multiple subjects.To collect reliable affective ECG data,we applied an arousal method by movie clips to make subjects experience specific emotions without external interference.Through precise location of P-QRS-T wave by continuous wavelet transform,an amount of ECG features was extracted sufficiently.Since feature selection is a combination optimization problem,Improved Binary Particle Swarm Optimization(IBPSO) based on neighborhood search was applied to search out effective features to improve classification results of emotion states with the help of fisher or K-Nearest Neighbor(KNN) classifier.In the experiment,it is shown that the approach is successful and the effective features got from ECG signals can express emotion states excellently.