Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2024-02-19 Cooperative journals: 《中国全科医学》
Abstract： Background Hepatocellular carcinoma（HCC）is the most common malignant liver tumor，with an increasing incidence rate. Since alpha-fetoprotein（AFP），the traditional serum marker for HCC，has a low sensitivity，there is a critical need for novel molecular biomarkers to enable early detection of HCC. Objective To detect the protein expression level of serum polyadenosine diphosphate ribose polymerase 2（PARP2）in HCC patients in the blood of HCC patients and investigate its potential as a diagnostic marker for HCC. Methods PARP2 mRNA levels of 50 healthy individuals and 371 HCC patients were analyzed in the TCGA database，and the diagnostic efficacy was analyzed by plotting the receiver operating characteristic（ROC）curve of subjects diagnosed with HCC by PARP2 expression. The levels of PARP2 mRNA and protein expression were assessed in both HCC cells and normal hepatocytes. Serum samples from 38 newly diagnosed HCC patients and 38 healthy individuals undergoing physical examinations at the First Affiliated Hospital of Xinjiang Medical University from March 2021 to July 2022 were collected to measure serum PARP2 protein levels by using the enzyme-linked immunosorbent assay（ELISA）method，and their correlation with HCC clinical characteristics was analyzed. Additionally，the characteristics of serum PARP2 expression levels in diagnosing HCC，particularly in alpha-fetoprotein（AFP）-negative HCC（AFP<20 ng/mL）was analyzed，and the efficacy of the combination of serum PARP2 and AFP for the diagnosis of HCC in patients with HCC and healthy individuals was evaluated. Results TCGA data showed that PARP2 mRNA expression is higher in malignant tissues compared to paracancerous tissues based on the big data analysis of TCGA（P<0.001）. PARP2 mRNA and protein expression levels were higher in HCC cells HepG2 compared to normal hepatocytes WRL68（P<0.05）. HCC patients had higher serum PARP2 protein expression levels compared to healthy individuals（P<0.001）. Comparison of serum PARP2 expression levels in those with different lymphatic metastases and tumor counts showed statistically significant differences（P<0.05）. The area under the ROC curve（AUC）of serum PARP2 expression level plotted for the diagnosis of HCC was 0.92，with a sensitivity of 76.32%，a specificity of 97.37% and a cut-off value of 19.45 ng/mL. Upon serum AFP testing，21 of the 38 HCC patients were AFP-negative HCC. The AUC of serum PARP2 protein level for diagnosing AFP-negative HCC was 0.95（95%CI=0.88-1.00）， with a sensitivity of 85.71%，a specificity of 97.37%，and a cutoff value of 19.59 ng/mL. The diagnostic efficacy of PARP2 in combination with AFP was further evaluated using a “parallel” co-diagnostic approach，the results showed that the diagnostic efficacy of the combined diagnosis of HCC was 92.11%，the specificity was 94.74%，and the AUC was 0.934. For AFP-negative HCC patients，the sensitivity of the combined diagnosis was 85.71%，the specificity was 94.74%，and the AUC was 0.902 3. Conclusion PARP2 is highly expressed in HCC and can be used as a biological marker for HCC screening，especially in AFP negative HCC.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： As a style with Chinese cultural characteristics, paternalistic leadership has significant influences on multi-level creativity. Based on the previous empirical research, the paper not only examines direct relationships between paternalistic leadership, its dimensions and multi-level creativity, but also expounds their interactive effects, moderating effects and internal mechanisms. The paper develops a model of “mechanisms of paternalistic leadership’s effects on both employee and team creativity”, and proposes that the effect of paternalistic leadership on employee creativity is moderated by workplace situational and individual difference, also mediated by psychological cognition and social relationships, while its influence on team creativity is mediated by team cognition and team interaction. Future research should strive to expand the levels of research, enrich research methods, and further explore the mechanisms of paternalistic leadership on multi-level creativity from a cross-cultural perspective.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Antisocial Personality Disorder (ASPD) is a personality disorder with pervasive disregard for and violation of the rights of others accompanied with high crime propensity. The formation of ASPD is affected by genetic and environmental factors, manifested in abnormalities in neurotransmitter and hormonal system, autonomic nervous system and brain structure and function. To a certain degree, these neurobiological characteristics may cause ASPD to exhibit poor inhibitory control, emotional dysfunction, disregard of punishment and reward dominance. Neurobiological evidence provides judicial implications, such as treatment, risk assessment, conviction and sentencing of ASPD offenders. More research is needed on the diagnostic classification criteria, evidence based practice and influencing factors of ASPD from the perspective of neurobiology.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Fairness norm enforcement refers to the willingness to incur personal costs to punish violations of fairness norms, which was thought to be a hallmark of human society and play a key role in cooperative interactions. Group identity refers to some knowledge of one’s group membership together with the value and emotional significance attached to that membership, which directly influences people’s fairness norm enforcement during inter-group context. Using a variety of asset allocation game, researchers found group bias exerted a critical effect on fairness norm enforcement, while existing in two opposite patterns. Sometimes, people were more likely to accept unfair offer from in-groups, reflecting the pattern of in-group favoritism, but sometimes people were also more likely to punish norm violations from in-group members, revealing the form of the so-called black sheep effect. Currently, norms focused theory and mere preferences theory have usually been used to explain the above contradictory phenomena. Based on this review, future research directions should explore the boundary conditions of this bias, compare the difference of this parochial altruism induced by variable group identity, emphasize the integration of different theories, and enhance the exploration of its underlying neural mechanisms.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Aggression is the act of intentionally causing direct harm to others, and can be divided into reactive aggression and proactive aggression. The occurrence of aggression has neurobiological basis. As a key brain area of emotion processing and learning, the amygdala is closely associated with aggression. The fight-flight mechanism model, the violence inhibition mechanism model and the fear dysfunction hypothesis emphasize the importance of the amygdala for aggression. Groups exhibiting aggressive or violent behaviors have structural deficits and dysfunctions in the amygdala, in which dysfunction manifests itself with two opposite abnormalities. In high-risk groups with reactive aggression, the amygdala has an enhanced response to threatening stimuli ('hot' response); whereas groups with proactive aggression, such as psychopathic individuals with callous-unemotional traits, exhibit diminished amygdala responses to threatening stimuli and others’ distress cues, as well as in sufficient activation of the amygdala during fear conditioning learning and moral decision-making ('cold' response). These dysfunctions impair the individuals’ normal levels of threat response, empathy, punishment avoidance and moral decision-making. Future research needs to focus on both population research and process research, pay more attention to the functions of the substructures of the amygdala, explore the neural network foundations of aggression, and explore effective means of violence prevention and intervention.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Aggression can make individuals produce positive emotions, that is, aggression has a pleasant effect. This is not only directly reflected in the individual’s emotional experience of aggressive behavior, but also reflected in the association between some personality traits and aggression. In addition, it is also supported by neuroimaging studies about aggression. The opponent-process theory and the reinforcement model of aggression explain the psychological causes of this effect from two different perspectives: individual’s change and group’s evolution. This effect can consolidate the pattern of individual’s aggressive behavior, which further enriches the meta-theoretical framework of aggressive behavior. The above analysis indicates that cathartic therapy should be used carefully in the intervention of people with high aggressive tendency, and suggests that there may be similarities in the psychological causes of aggressive behavior and addictive behavior. In the future, emotional measurement tools should be improved to clarify the dynamic changes of emotions during aggression. It is also necessary to further explore the influencing factors of aggression’s pleasant effect and improve the ecological validity of the research.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： To improve the fairness perception and norm enforcement of children and adolescents in inter-group interactions, it is an essential issue in the field of educational psychology about how to reveal the interactive mechanism of group norms and fairness values during individuals' psychological development. Although in-group favoritism during fairness norm enforcement is an important topic in psychology, three main limitations need to be addressed. First, most studies use questionnaires, which are easily affected by social participation. Second, most of the research uses scenario experiments with an emphasis on the final behavioral output of social interaction while failing to effectively grasp the dynamic process of social decision-making. Finally, electroencephalogram (EEG) studies with the high temporal resolution are still lacking to reveal the dynamic process of the brain. This project aims to clarify these issues by employing a cognitive neuroscience method. Specifically, multilevel techniques, including self-reported, cognitive-behavioral, eye-tracking, and electrophysiological techniques, were used to examine the mechanism behind in-group favoritism of fairness norm enforcement from childhood to adolescence. We intend to explore the developmental process, reveal the key role of cognitive control, mentalizing, and describe their psychological development trajectory. Findings will support moral education in primary and secondary schools, and cultivate students' sense of justice and behavior.
submitted time 2023-03-20 Cooperative journals: 《心理科学进展》
Abstract： Aggression can make individuals produce positive emotions, that is, aggression has a pleasant effect. This is not only directly reflected in the individual’s emotional experience of aggressive behavior, but also reflected in the association between some personality traits and aggression. In addition, it is also supported by neuroimaging studies about aggression. The opponent-process theory and the reinforcement model of aggression explain the psychological causes of this effect from two different perspectives: individual’s change and group’s evolution. This effect can consolidate the pattern of individual’s aggressive behavior, which further enriches the meta-theoretical framework of aggressive behavior. The above analysis indicates that cathartic therapy should be used carefully in the intervention of people with high aggressive tendency, and suggests that there may be similarities in the psychological causes of aggressive behavior and addictive behavior. In the future, emotional measurement tools should be improved to clarify the dynamic changes of emotions during aggression. It is also necessary to further explore the influencing factors of aggression’s pleasant effect and improve the ecological validity of the research.
submitted time 2023-03-20 Cooperative journals: 《心理科学进展》
Abstract： Aggression is the act of intentionally causing direct harm to others, and can be divided into reactive aggression and proactive aggression. The occurrence of aggression has neurobiological basis. As a key brain area of emotion processing and learning, the amygdala is closely associated with aggression. The fight-flight mechanism model, the violence inhibition mechanism model and the fear dysfunction hypothesis emphasize the importance of the amygdala for aggression. Groups exhibiting aggressive or violent behaviors have structural deficits and dysfunctions in the amygdala, in which dysfunction manifests itself with two opposite abnormalities. In high-risk groups with reactive aggression, the amygdala has an enhanced response to threatening stimuli ('hot' response); whereas groups with proactive aggression, such as psychopathic individuals with callous-unemotional traits, exhibit diminished amygdala responses to threatening stimuli and others’ distress cues, as well as in sufficient activation of the amygdala during fear conditioning learning and moral decision-making ('cold' response). These dysfunctions impair the individuals’ normal levels of threat response, empathy, punishment avoidance and moral decision-making. Future research needs to focus on both population research and process research, pay more attention to the functions of the substructures of the amygdala, explore the neural network foundations of aggression, and explore effective means of violence prevention and intervention.
Subjects: Psychology >> Social Psychology submitted time 2022-12-04
Abstract：
Aggression can make individuals produce positive emotions, that is, aggression has a pleasant effect. This is not only directly reflected in the individual’s emotional experience of aggressive behavior, but also reflected in the association between some personality traits and aggression. In addition, it is also supported by neuroimaging studies about aggression. The opponent-process theory and the reinforcement model of aggression explain the psychological causes of this effect from two different perspectives: individual’s change and group’s evolution. This effect can consolidate the pattern of individual’s aggressive behavior, which further enriches the meta-theoretical framework of aggressive behavior. The above analysis indicates that cathartic therapy should be used carefully in the intervention of people with high aggressive tendency, and suggests that there may be similarities in the psychological causes of aggressive behavior and addictive behavior. In the future, emotional measurement tools should be improved to clarify the dynamic changes of emotions during aggression. It is also necessary to further explore the influencing factors of aggression’s pleasant effect and improve the ecological validity of the research.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Developmental Psychology submitted time 2021-08-07
Abstract： To improve the fairness perception and norm enforcement of children and adolescents in inter-group interactions, it is an essential issue in the field of educational psychology about how to reveal the interactive mechanism of group norms and fairness values during individuals’ psychological development. Although in-group favoritism during fairness norm enforcement is an important topic in psychology, three main limitations need to be addressed. First, most studies use questionnaires, which are easily affected by social participation. Second, most of the research uses scenario experiments with an emphasis on the final behavioral output of social interaction while failing to effectively grasp the dynamic process of social decision-making. Finally, electroencephalogram (EEG) studies with the high temporal resolution are still lacking to reveal the dynamic process of the brain. This project aims to clarify these issues by employing a cognitive neuroscience method. Specifically, multilevel techniques, including self-reported, cognitive-behavioral, eye-tracking, and electrophysiological techniques, were used to examine the mechanism behind in-group favoritism of fairness norm enforcement from childhood to adolescence. We intend to explore the developmental process, reveal the key role of cognitive control, mentalizing, and describe their psychological development trajectory. Findings will support moral education in primary and secondary schools, and cultivate students' sense of justice and behavior. " "
Peer Review Status:Awaiting Review
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》
Abstract： This paper investigated the resource allocation problem of the synchronous wireless information and power transfer (SWIPT) two-way communication networks based on orthogonal frequency division multiplexing. This paper proposes a joint subcarrier and power allocation (JSPA) algorithm, which is neither dependent upon the power splitting nor the time switching schemes and simplifies the design of SWIPT principles, transfers information and energy using different subcarriers. Considering the saturation characteristic of actual energy harvesting circuit, the joint design algorithm, which is developed by using Lagrange dual and subgradient methods and thus is based on the nonlinear energy harvesting model, is formulated to minimize the energy consumption of networks under condition that the required rate of the destination is satisfied. The numerical simulation results validate both the JSPA’s effectiveness in the joint allocation of network resources and its high energy efficiency.
Subjects: Psychology >> Social Psychology submitted time 2019-09-14
Abstract： Fairness norm enforcement refers to the willingness to incur personal costs to punish violations of fairness norms, which was thought to be a hallmark of human society and play a key role in cooperative interactions. Group identity refers to some knowledge of one’s group membership together with the value and emotional significance attached to that membership, which directly influences people’s fairness norm enforcement during inter-group context. Using a variety of asset allocation game, researchers found group bias exerted a critical effect on fairness norm enforcement, while existing in two opposite patterns. Sometimes, people were more likely to accept unfair offer from in-groups, reflecting the pattern of in-group favoritism, but sometimes people were also more likely to punish norm violations from in-group members, revealing the form of the so-called black sheep effect. Currently, norms focused theory and mere preferences theory have usually been used to explain the above contradictory phenomena. Based on this review, future research directions should explore the boundary conditions of this bias, compare the difference of this parochial altruism induced by variable group identity, emphasize the integration of different theories, and enhance the exploration of its underlying neural mechanisms. "
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-11-29 Cooperative journals: 《计算机应用研究》
Abstract： Collaborative filtering plays an important role in recommendation system and is the most successful and widely used technology in information filtering and information system. However, collaborative filtering has a sparse problem in data processing, which affects the accuracy of the proposed algorithm. This paper proposed a recommendation algorithm combining collaborative filtering and XGBoost to explore the potential relationship between the project and the user based on the user's evaluation of the project and its own characteristics. It improved the recommendation accuracy of the algorithm. The results of experiments on the book-crossings data set using the baidu deep learning framework paddlepaddlepaddles show that, Compared with the two algorithms in the literature, the accuracy of the proposed algorithm is significantly improved.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-24 Cooperative journals: 《计算机应用研究》
Abstract： The selection of feature items and the calculation of feature weights are two crucial links in the process of text classification and play a key role in the results of text classification. In order to overcome the traditional CHI statistical method, there is a negative correlation between the frequency of feature items and the category, and a probability problem that a feature item exists in a text, The traditional CHI statistical method is improved by introducing some important factors such as negative correlation judgment and frequency, and the TF-IDF algorithm is optimized by combining the calculation method of semantic similarity. The K-nearest neighbor (KNN) classifier and support vector machine (SVM) classifier are respectively used in WEKA software to classify the Weibo emotional corpus The experimental results show that the new method has obvious improvement on the accuracy of text classification.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-19 Cooperative journals: 《计算机应用研究》
Abstract： This paper proposed a linear regression algorithm to integrate collaborative filtering based on the data sparse influence of the traditional collaborative filtering algorithm. Firstly, it built a similarity matrix between the user and the project based on the user's rating of the project, as well as the user and the project's own characteristics. Secondly, based on the similarity matrix, it selected the user and project nearest neighbor set. It predicted the score that the users had graded respectively by the way of collaborative filtering algorithms based on the user and the project. And it would take the difference between predicted scores and the real scores as features to generate new training data, and regard the new training data as the input of the linear regression model. Finally, according to the training model, it could predict the unknown score , and used the Top-N algorithm to generate the recommended list. It conducted the experiment on the MovieLens data set. The experimental result shows that the proposed accuracy of the new algorithm improves compared with the traditional collaborative filtering algorithm.
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