Pub Date : 2021-04-20DOI: 10.36548/JSCP.2021.1.004
P. Karuppusamy
In the recent years, there has been a high surge in the use of convolutional neural networks (CNNs) because of the state-of-the art performance in a number of areas like text, audio and video processing. The field of remote sensing applications is however a field that has not fully incorporated the use of CNN. To address this issue, we introduced a novel CNN that can be used to increase the performance of detectors built that use Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG). Moreover, in this paper, we have also increased the accuracy of the CNN using two improvements. The first improvement involves feature vector transformation with Euler methodology and combining normalized and raw features. Based on the results observed, we have also performed a comparative study using similar methods and it has been identified that the proposed CNN proves to be an improvement over the others.
{"title":"Building Detection using Two-Layered Novel Convolutional Neural Networks","authors":"P. Karuppusamy","doi":"10.36548/JSCP.2021.1.004","DOIUrl":"https://doi.org/10.36548/JSCP.2021.1.004","url":null,"abstract":"In the recent years, there has been a high surge in the use of convolutional neural networks (CNNs) because of the state-of-the art performance in a number of areas like text, audio and video processing. The field of remote sensing applications is however a field that has not fully incorporated the use of CNN. To address this issue, we introduced a novel CNN that can be used to increase the performance of detectors built that use Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG). Moreover, in this paper, we have also increased the accuracy of the CNN using two improvements. The first improvement involves feature vector transformation with Euler methodology and combining normalized and raw features. Based on the results observed, we have also performed a comparative study using similar methods and it has been identified that the proposed CNN proves to be an improvement over the others.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"3 1","pages":"29-37"},"PeriodicalIF":1.7,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46993462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-19DOI: 10.36548/JSCP.2021.1.003
W. Haoxiang, S. Smys
The advancement and introduction of computing technologies has proven to be highly effective and has resulted in the production of large amount of data that is to be analyzed. However, there is much concern on the privacy protection of the gathered data which suffers from the possibility of being exploited or exposed to the public. Hence, there are many methods of preserving this information they are not completely scalable or efficient and also have issues with privacy or data utility. Hence this proposed work provides a solution for such issues with an effective perturbation algorithm that uses big data by means of optimal geometric transformation. The proposed work has been examined and tested for accuracy, attack resistance, scalability and efficiency with the help of 5 classification algorithms and 9 datasets. Experimental analysis indicates that the proposed work is more successful in terms of attack resistance, scalability, execution speed and accuracy when compared with other algorithms that are used for privacy preservation.
{"title":"Big Data Analysis and Perturbation using Data Mining Algorithm","authors":"W. Haoxiang, S. Smys","doi":"10.36548/JSCP.2021.1.003","DOIUrl":"https://doi.org/10.36548/JSCP.2021.1.003","url":null,"abstract":"The advancement and introduction of computing technologies has proven to be highly effective and has resulted in the production of large amount of data that is to be analyzed. However, there is much concern on the privacy protection of the gathered data which suffers from the possibility of being exploited or exposed to the public. Hence, there are many methods of preserving this information they are not completely scalable or efficient and also have issues with privacy or data utility. Hence this proposed work provides a solution for such issues with an effective perturbation algorithm that uses big data by means of optimal geometric transformation. The proposed work has been examined and tested for accuracy, attack resistance, scalability and efficiency with the help of 5 classification algorithms and 9 datasets. Experimental analysis indicates that the proposed work is more successful in terms of attack resistance, scalability, execution speed and accuracy when compared with other algorithms that are used for privacy preservation.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"3 1","pages":"19-28"},"PeriodicalIF":1.7,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46927857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-15DOI: 10.36548/JSCP.2021.1.002
Akey Sungheetha, R RajeshSharma
Biological and social issues rise with faults that occur in waste water treatment plant (WWTP). Nature as well as humans are negatively impacted by the dangerous effects of poorly treated wastewater. This paper combines the fuzzy logic, chaos theory, whale optimization algorithm (WOA) and BAT algorithm (FCW-BAT) to create a novel model for parameter estimation. The WWTP applications are exposed to FCW-BAT algorithm for identifying nonwell-structured domain, validating decision rules, cost reduction and estimation of several relevant attributes from the complete dataset. The significant data is retained while reducing the complete feature set using FCW-BAT prior to the classification process. Estimation of data uncertainty and fuzzification is performed with the cost function fast fuzzy c-means. The WOA parameters are estimated and tuned with the help of several chaos sequence maps. Complex real-time datasets consisting of missing values and several uncertainty features are tested and experimented. Shorter execution time, higher convergence speed, lower error and improved performance are obtained with the sine chaos map embedded in the proposed algorithm. Additionally, the WWTP sensor process faults may also be detected by the proposed model with great levels of accuracy enabling the system operators to make appropriate control decisions. Journal of Soft Computing Paradigm (JSCP) (2021) Vol.03/ No.01 Pages: 10-18 http://irojournals.com/jscp/ DOI: https://doi.org/10.36548/jscp.2021.1.002 11 ISSN: 2582-2640 (online) Submitted:10.02.2021 Revised: 05.03.2021 Accepted: 28.03.2021 Published: 15.04.2021
{"title":"Fuzzy Chaos Whale Optimization and BAT Integrated Algorithm for Parameter Estimation in Sewage Treatment","authors":"Akey Sungheetha, R RajeshSharma","doi":"10.36548/JSCP.2021.1.002","DOIUrl":"https://doi.org/10.36548/JSCP.2021.1.002","url":null,"abstract":"Biological and social issues rise with faults that occur in waste water treatment plant (WWTP). Nature as well as humans are negatively impacted by the dangerous effects of poorly treated wastewater. This paper combines the fuzzy logic, chaos theory, whale optimization algorithm (WOA) and BAT algorithm (FCW-BAT) to create a novel model for parameter estimation. The WWTP applications are exposed to FCW-BAT algorithm for identifying nonwell-structured domain, validating decision rules, cost reduction and estimation of several relevant attributes from the complete dataset. The significant data is retained while reducing the complete feature set using FCW-BAT prior to the classification process. Estimation of data uncertainty and fuzzification is performed with the cost function fast fuzzy c-means. The WOA parameters are estimated and tuned with the help of several chaos sequence maps. Complex real-time datasets consisting of missing values and several uncertainty features are tested and experimented. Shorter execution time, higher convergence speed, lower error and improved performance are obtained with the sine chaos map embedded in the proposed algorithm. Additionally, the WWTP sensor process faults may also be detected by the proposed model with great levels of accuracy enabling the system operators to make appropriate control decisions. Journal of Soft Computing Paradigm (JSCP) (2021) Vol.03/ No.01 Pages: 10-18 http://irojournals.com/jscp/ DOI: https://doi.org/10.36548/jscp.2021.1.002 11 ISSN: 2582-2640 (online) Submitted:10.02.2021 Revised: 05.03.2021 Accepted: 28.03.2021 Published: 15.04.2021","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"38 1","pages":"10-18"},"PeriodicalIF":1.7,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69625492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-03DOI: 10.36548/JSCP.2021.1.001
J SamuelManoharan
In regions of visual inference, optimized performance is demonstrated by capsule networks on structured data. Classification of hierarchical multi-label text is performed with a simple capsule network algorithm in this paper. It is further compared to support vector machine (SVM), Long Short Term Memory (LSTM), artificial neural network (ANN), convolutional Neural Network (CNN) and other neural and non-neural network architectures to demonstrate its superior performance. The Blurb Genre Collection (BGC) and Web of Science (WOS) datasets are used for experimental purpose. The encoded latent data is combined with the algorithm while handling structurally diverse categories and rare events in hierarchical multi-label text applications.
在视觉推理领域，胶囊网络在结构化数据上展示了优化的性能。本文采用一种简单的胶囊网络算法对分层多标签文本进行分类。进一步将其与支持向量机（SVM）、长短期记忆（LSTM）、人工神经网络（ANN）、卷积神经网络（CNN）等神经网络和非神经网络架构进行比较，以证明其优越的性能。Blurb Genre Collection（BGC）和Web of Science（WOS）数据集用于实验目的。编码的潜在数据与算法相结合，同时在分层多标签文本应用程序中处理结构多样的类别和罕见事件。
{"title":"Capsule Network Algorithm for Performance Optimization of Text Classification","authors":"J SamuelManoharan","doi":"10.36548/JSCP.2021.1.001","DOIUrl":"https://doi.org/10.36548/JSCP.2021.1.001","url":null,"abstract":"In regions of visual inference, optimized performance is demonstrated by capsule networks on structured data. Classification of hierarchical multi-label text is performed with a simple capsule network algorithm in this paper. It is further compared to support vector machine (SVM), Long Short Term Memory (LSTM), artificial neural network (ANN), convolutional Neural Network (CNN) and other neural and non-neural network architectures to demonstrate its superior performance. The Blurb Genre Collection (BGC) and Web of Science (WOS) datasets are used for experimental purpose. The encoded latent data is combined with the algorithm while handling structurally diverse categories and rare events in hierarchical multi-label text applications.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"3 1","pages":"1-9"},"PeriodicalIF":1.7,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45635092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1521/jscp.2021.40.2.97
Irena Kesselring, Haley E Yaremych, Samantha Pegg, Lindsay Dickey, Autumn Kujawa
Introduction: Depression is associated with increased negative affect (NA) and low positive affect (PA), as well as interpersonal difficulties. Although most studies examine symptoms and affect at only one time point, ecological momentary assessment (EMA) captures data on affect and activity in real time and across contexts. The present study used EMA to explore the links between in-person and virtual social interactions, depressive symptoms, and momentary affect.
Methods: Emerging adults (N=86) completed a self-report measure of both general depression and dysphoria symptoms, followed by EMA surveys 8 times daily for one week, reporting momentary affect (PA and NA) and social context (in-person and virtual interactions with friends).
Results: In-person, but not virtual, presence of friends was associated with increased PA overall. Depressive symptoms were linked to less time with in-person friends and elevated NA. There was also a significant interaction between in-person presence of friends and dysphoria in predicting NA, such that presence of in-person friends was associated with lower NA only for those low in dysphoria.
Discussion: Findings suggest that time with in-person friends is associated with increased PA overall and decreased NA only for those lower in depressive symptoms, but these effects do not generalize to virtual interactions. Those with greater depressive symptoms may be less responsive to positive stimuli and experience less of an effect of friends' presence on affect. Alternatively, maladaptive social behaviors characteristic of depression may influence the effect of social interactions on affect.
简介抑郁症与消极情绪（NA）增加和积极情绪（PA）降低以及人际交往困难有关。虽然大多数研究仅在一个时间点上对症状和情绪进行研究，但生态瞬间评估（EMA）可实时捕捉不同情境下的情绪和活动数据。本研究使用 EMA 来探讨人际和虚拟社交互动、抑郁症状和瞬间情绪之间的联系：方法：新近成年者（86 人）完成了一项关于一般抑郁症状和焦虑症状的自我报告测量，随后进行了为期一周、每天 8 次的 EMA 调查，报告瞬间情感（PA 和 NA）和社会环境（与朋友的亲身互动和虚拟互动）：结果：朋友的亲身参与（而非虚拟参与）与总体 PA 的增加有关。抑郁症状与与亲朋好友相处时间减少和不愉快程度增加有关。在预测 NA 方面，朋友的亲身参与与焦虑症之间也存在明显的交互作用，因此只有焦虑症程度较低的人，朋友的亲身参与才与较低的 NA 有关：讨论：研究结果表明，与亲朋好友在一起的时间与总体活动量的增加有关，而只有抑郁症状较轻的人的活动量才会减少，但这些影响并不普遍适用于虚拟互动。抑郁症状较重的人可能对积极刺激的反应较弱，朋友的存在对情感的影响较小。另外，抑郁症所特有的不适应性社交行为也可能会影响社交互动对情感的影响。
{"title":"Zoom or In-Person: An Ecological Momentary Assessment Study of Time with Friends and Depressive Symptoms on Affect in Emerging Adults.","authors":"Irena Kesselring, Haley E Yaremych, Samantha Pegg, Lindsay Dickey, Autumn Kujawa","doi":"10.1521/jscp.2021.40.2.97","DOIUrl":"10.1521/jscp.2021.40.2.97","url":null,"abstract":"<p><strong>Introduction: </strong>Depression is associated with increased negative affect (NA) and low positive affect (PA), as well as interpersonal difficulties. Although most studies examine symptoms and affect at only one time point, ecological momentary assessment (EMA) captures data on affect and activity in real time and across contexts. The present study used EMA to explore the links between in-person and virtual social interactions, depressive symptoms, and momentary affect.</p><p><strong>Methods: </strong>Emerging adults (<i>N</i>=86) completed a self-report measure of both general depression and dysphoria symptoms, followed by EMA surveys 8 times daily for one week, reporting momentary affect (PA and NA) and social context (in-person and virtual interactions with friends).</p><p><strong>Results: </strong>In-person, but not virtual, presence of friends was associated with increased PA overall. Depressive symptoms were linked to less time with in-person friends and elevated NA. There was also a significant interaction between in-person presence of friends and dysphoria in predicting NA, such that presence of in-person friends was associated with lower NA only for those low in dysphoria.</p><p><strong>Discussion: </strong>Findings suggest that time with in-person friends is associated with increased PA overall and decreased NA only for those lower in depressive symptoms, but these effects do not generalize to virtual interactions. Those with greater depressive symptoms may be less responsive to positive stimuli and experience less of an effect of friends' presence on affect. Alternatively, maladaptive social behaviors characteristic of depression may influence the effect of social interactions on affect.</p>","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"40 2","pages":"97-120"},"PeriodicalIF":1.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8320809/pdf/nihms-1673081.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39264540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1521/JSCP.2021.40.2.153
Johnrev Guilaran, Ian de Terte, K. Kaniasty, C. Stephens
Introduction: Emergency responders are at risk of post-traumatic stress symptoms (PTSS). This study investigates the relationship between the different components of received social support (RSS) and PTSS in these occupations. Method: This cross-sectional study involved emergency responders from New Zealand and the Philippines (n=223). Participants answered an online questionnaire measuring social support and PTSS. Results: High amount of total received support was significantly associated with lower levels of PTSS. Analyses of RSS components revealed that co-worker, emotional, and tangible support exhibited salutary main effects on PTSS. Furthermore, high amounts of RSS from supervisors were found to be associated with low levels of PTSS only among participants who reported low trauma exposure. Discussion: Findings were congruent with the main effects model of RSS. Results also underscored the importance of investigating varied manifestations of social support as they may differentially influence the strength of effects of receiving social support by emergency responders.
{"title":"Received Social Support and Post-Traumatic Stress Symptoms in New Zealand and Philippine Emergency Responders","authors":"Johnrev Guilaran, Ian de Terte, K. Kaniasty, C. Stephens","doi":"10.1521/JSCP.2021.40.2.153","DOIUrl":"https://doi.org/10.1521/JSCP.2021.40.2.153","url":null,"abstract":"Introduction: Emergency responders are at risk of post-traumatic stress symptoms (PTSS). This study investigates the relationship between the different components of received social support (RSS) and PTSS in these occupations. Method: This cross-sectional study involved emergency responders from New Zealand and the Philippines (n=223). Participants answered an online questionnaire measuring social support and PTSS. Results: High amount of total received support was significantly associated with lower levels of PTSS. Analyses of RSS components revealed that co-worker, emotional, and tangible support exhibited salutary main effects on PTSS. Furthermore, high amounts of RSS from supervisors were found to be associated with low levels of PTSS only among participants who reported low trauma exposure. Discussion: Findings were congruent with the main effects model of RSS. Results also underscored the importance of investigating varied manifestations of social support as they may differentially influence the strength of effects of receiving social support by emergency responders.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"40 1","pages":"153-174"},"PeriodicalIF":1.7,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47444835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1521/JSCP.2021.40.2.145
Rachel E. Dubke, P. Corrigan
Introduction: This study sought to examine self-stigma at the intersection of two identities: mental illness and gender. Methods: Using an MTurk panel, 100 self-identified men and women with and without mental illness (total N = 400) completed the Difference and Disdain Self-Stigma Scale. Results: Significant effects were found for mental illness (participants with mental illness reported greater perceptions of being different from the population and disdain themselves because of that) but not for gender or the interaction. Discussion: Failure to find intersectionality may reflect classic findings from social psychological research that suggests people do not necessarily diminish self-esteem because of socio-demographic identity (I am a woman or African American). Future studies need to test for an intersection effect for public stigma.
{"title":"Intersectionality, Gender, and the Self-Stigma of Mental Illness","authors":"Rachel E. Dubke, P. Corrigan","doi":"10.1521/JSCP.2021.40.2.145","DOIUrl":"https://doi.org/10.1521/JSCP.2021.40.2.145","url":null,"abstract":"Introduction: This study sought to examine self-stigma at the intersection of two identities: mental illness and gender. Methods: Using an MTurk panel, 100 self-identified men and women with and without mental illness (total N = 400) completed the Difference and Disdain Self-Stigma Scale. Results: Significant effects were found for mental illness (participants with mental illness reported greater perceptions of being different from the population and disdain themselves because of that) but not for gender or the interaction. Discussion: Failure to find intersectionality may reflect classic findings from social psychological research that suggests people do not necessarily diminish self-esteem because of socio-demographic identity (I am a woman or African American). Future studies need to test for an intersection effect for public stigma.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"40 1","pages":"145-152"},"PeriodicalIF":1.7,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45415546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1521/JSCP.2021.40.2.121
C. M. Crawford, Julianne M. Griffith, B. Hankin, Jami F. Young
Introduction: Individual differences in beliefs about the controllability of emotions are associated with a range of psychosocial outcomes, including depressive symptoms. Less is known, however, about factors contributing to individual differences in these beliefs. The current study examined prospective associations between negative emotionality (NE) and implicit beliefs about emotions, as well as the indirect effect of NE on depressive symptoms through implicit beliefs about emotions. Methods: In a sample of children and adolescents, NE was assessed at baseline, implicit beliefs about emotions were assessed 18 months later, and depressive symptoms were assessed at baseline and 36 months later. Results: NE was associated with implicit beliefs about emotions, and an indirect effect of NE on depressive symptoms through implicit beliefs about emotions was observed. Discussion: NE represents a salient dispositional vulnerability factor contributing to individual differences in implicit beliefs about emotions, with implications for the development of depressive symptoms in youth.
{"title":"Implicit Beliefs About Emotions in Youth: Associations With Temperamental Negative Emotionality and Depression","authors":"C. M. Crawford, Julianne M. Griffith, B. Hankin, Jami F. Young","doi":"10.1521/JSCP.2021.40.2.121","DOIUrl":"https://doi.org/10.1521/JSCP.2021.40.2.121","url":null,"abstract":"Introduction: Individual differences in beliefs about the controllability of emotions are associated with a range of psychosocial outcomes, including depressive symptoms. Less is known, however, about factors contributing to individual differences in these beliefs. The current study examined prospective associations between negative emotionality (NE) and implicit beliefs about emotions, as well as the indirect effect of NE on depressive symptoms through implicit beliefs about emotions. Methods: In a sample of children and adolescents, NE was assessed at baseline, implicit beliefs about emotions were assessed 18 months later, and depressive symptoms were assessed at baseline and 36 months later. Results: NE was associated with implicit beliefs about emotions, and an indirect effect of NE on depressive symptoms through implicit beliefs about emotions was observed. Discussion: NE represents a salient dispositional vulnerability factor contributing to individual differences in implicit beliefs about emotions, with implications for the development of depressive symptoms in youth.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"40 1","pages":"121-144"},"PeriodicalIF":1.7,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46994806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.1521/JSCP.2021.40.1.1
J. C. Beerten-Duijkers, C. Vissers, M. Rinck, J. Egger
Introduction: Self-regulatory actions direct the achievement of life goals. Awareness of one's state is needed to adequately self-regulate one's life. Methods: The self-regulatory actions of (cognitive/emotional) self-awareness and (error-)monitoring were assessed in patients with Dual Diagnosis and healthy controls. A multi-method approach was applied. Results: Patients with Dual Diagnosis reported lower capacity to identify, verbalize and interpret emotions in a cognitive manner. Both groups reported experiencing arousal of emotions, but patients showed less cognitive elaboration on them and they reported more negatively labeled emotions. Patients with Dual Diagnosis signaled errors less adequately, but did not differ in the number of errors. Discussion: The abundance of negative emotions may overwhelm patients and trigger substance use to handle this negativity. Especially because they do in fact experience the arousal of emotions, but they find it harder to timely identify, interpret and verbalize these emotions. Training self-awareness and emotion regulation may be beneficial.
{"title":"Self-Regulation in Dual Diagnosis: A Multi-Method Approach of Self-Awareness, Error-Monitoring and Emotional Distress","authors":"J. C. Beerten-Duijkers, C. Vissers, M. Rinck, J. Egger","doi":"10.1521/JSCP.2021.40.1.1","DOIUrl":"https://doi.org/10.1521/JSCP.2021.40.1.1","url":null,"abstract":"Introduction: Self-regulatory actions direct the achievement of life goals. Awareness of one's state is needed to adequately self-regulate one's life. Methods: The self-regulatory actions of (cognitive/emotional) self-awareness and (error-)monitoring were assessed in patients with Dual Diagnosis and healthy controls. A multi-method approach was applied. Results: Patients with Dual Diagnosis reported lower capacity to identify, verbalize and interpret emotions in a cognitive manner. Both groups reported experiencing arousal of emotions, but patients showed less cognitive elaboration on them and they reported more negatively labeled emotions. Patients with Dual Diagnosis signaled errors less adequately, but did not differ in the number of errors. Discussion: The abundance of negative emotions may overwhelm patients and trigger substance use to handle this negativity. Especially because they do in fact experience the arousal of emotions, but they find it harder to timely identify, interpret and verbalize these emotions. Training self-awareness and emotion regulation may be beneficial.","PeriodicalId":48202,"journal":{"name":"Journal of Social and Clinical Psychology","volume":"40 1","pages":"1-26"},"PeriodicalIF":1.7,"publicationDate":"2021-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41520263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-01DOI: 10.1521/JSCP.2021.40.1.69
Rachel Wesley, J. Booker
Introduction: We were interested in building on previous studies showing the promotive and buffering roles of social support for emerging adults We tested the associations of multiple domains of social support (i e , family, friends) with measures of adjustment and adversity Methods: Across four studies, U S college adults reported on domains of social support (family, friends, significant other), psychological adjustment (i e , life satisfaction, flourishing), and psychological adversity (i e , recent stress, depressive symptoms) Studies 1 and 4 were cross-sectional, whereas Studies 2 and 3 involved two, monthly survey reports Study 4 was completed against the backdrop of early COVID-19 disruptions for college adults in the Spring of 2020 Results: In each study, each domain of social support was positively correlated with measures of adjustment and negatively correlated with measures of adversity Partial correlations indicated that support from friends was incrementally associated with nearly every outcome, whereas support from family was incrementally associated with a majority of outcomes Multiphase studies supported unidirectional, but not bidirectional, effects from earlier adjustment onto later social support Discussion: Overall, findings reinforce the importance of social support for young adults and highlight the distinct importance of family and friends Findings also suggest that a lack of perceived social support may contribute to risks fitting views such as the stress generation theory among emerging adults [ABSTRACT FROM AUTHOR] Copyright of Journal of Social & Clinical Psychology is the property of Guilford Publications Inc and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )
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