Article
Engineering, Environmental
Hongjun Joo, Myungjin Lee, Jongsung Kim, Jaewon Jung, Jaewon Kwak, Hung Soo Kim
Summary: This study presents a grouping method for stream gauging stations using community detection based on complex networks, which was found to be more effective than cluster analysis in terms of hydrologic similarity, persistence, and connectivity.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Letter
Parasitology
Ming Li, Tianfei Yu
Summary: This study compared different detection methods for identifying different life stages of Plasmodium vivax and found issues with the consistency of the current gold standard method. It is recommended to use more appropriate statistical methods to support scientific conclusions in future research.
PARASITES & VECTORS
(2022)
Article
Physics, Multidisciplinary
Zejun Sun, Yanan Sun, Xinfeng Chang, Feifei Wang, Zhongqiang Pan, Guan Wang, Jianfen Liu
Summary: This study proposes a framework and Matthew effect model for community detection in dynamic networks, and develops a dynamic community detection algorithm called DCDME, which offers high-quality community detection, parameter-free operation, and good scalability.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
Summary: SPARCODE is a new method for sparsity-aware robust community detection that finds the correct number of communities by optimizing sparsity level and outperforms existing methods in terms of performance, robustness, and modularity score.
Article
Computer Science, Information Systems
Shiwei Che, Wu Yang, Wei Wang
Summary: This study introduces an improved artificial bee colony algorithm (IABC-BN) for detecting communities in bipartite graphs, optimizing the algorithm through population initialization, employed bee search, and onlooker bees steps. Experimental results demonstrate that the proposed algorithm performs excellently in cluster discovery in bipartite graphs with two-mode vertices.
Article
Microbiology
Oluwaseun Bunmi Awosolu, Zary Shariman Yahaya, Meor Termizi Farah Haziqah, Titus Adeniyi Olusi
Summary: This study evaluated the performance of different methods for detecting falciparum malaria in Akure, Nigeria. The results showed that rapid diagnostic tests and microscopy are still sensitive and accurate methods for diagnosing falciparum malaria in the study area.
Letter
Computer Science, Interdisciplinary Applications
Ming Li, Qian Gao, Tianfei Yu
Summary: The study evaluated the h(fa)-index, which takes into account the relative contribution of each author, using data from senior hospital physicians. The authors used Cohen's kappa statistic to assess the agreement between the h-index and the h(fa)-index. The results of the two metrics were found to be disputed, suggesting the need for the use of an appropriate statistical approach, such as the weighted Cohen's kappa statistic, in this study.
Article
Education & Educational Research
Tianfei Yu, Lei Yang, Xinjie Jiang, Shuli Shao, Wei Sha, Ming Li
Summary: The article discusses the statistical methods used in Richelle's article for agreement analysis. The authors investigated the attitudes of medical students towards substance use during pregnancy and identified influencing factors. It was found that the agreement measurement using Cohen's kappa was questionable and it is recommended to use weighted kappa instead when dealing with three categories.
BMC MEDICAL EDUCATION
(2023)
Article
Computer Science, Hardware & Architecture
Chonghua Wang, Hao Zhou, Zhiqiang Hao, Shu Hu, Jun Li, Xueying Zhang, Bo Jiang, Xuehong Chen
Summary: In this paper, we propose a progressive exploration framework for collective anomaly detection on network traffic based on a clustering method called CCAD. Extensive experiments have shown its high detection rate.
Article
Health Care Sciences & Services
Haydar Demirhan, Ayfer Ezgi Yilmaz
Summary: In this study, a framework is developed to detect grey zones in inter-rater agreement tables. The framework shows high sensitivity and specificity under different agreement levels and sample sizes. It provides practitioners with an accurate way to identify and report the grey zones in their studies.
BMC MEDICAL RESEARCH METHODOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Javier F. Troncoso
Summary: ClasSOMfier is a software package designed to classify atoms into disconnected groups and detect lattice defects using an unsupervised learning Kohonen network. It accelerates the application of machine learning for cluster analysis with efficient code and a user-friendly interface.
COMPUTATIONAL MATERIALS SCIENCE
(2021)
Article
Mathematics
Attila Mester, Andrei Pop, Bogdan-Eduard-Madalin Mursa, Horea Grebla, Laura Diosan, Camelia Chira
Summary: Evaluation of important nodes in a network can be done through different centrality measures and community detection algorithms, providing overlapping results and complementary information on important nodes.
Article
Chemistry, Multidisciplinary
Stefan Markulik, Jozef Petrik, Marek Solc, Peter Blasko, Pavol Palfy, Lenka Girmanova
Summary: This article discusses the corrective measures needed in the measurement system, and proposes two possible solutions. One is to identify the optimal pair of metrological appraisers, and the other is to improve the work with the measuring instrument. By implementing the corresponding corrective measures, the value of the capability indices increases and the number of shafts out of tolerance decreases.
APPLIED SCIENCES-BASEL
(2022)
Article
Nutrition & Dietetics
Alessandra da Silva Pereira, Ana C. F. da Silva, Flavia F. Bezerra, Marta Citelli, Jose F. Nogueira Neto, Ines R. R. de Castro
Summary: The study assessed the reproducibility and validity of dried blood spot (DBS) method for diagnosing Vitamin A deficiency (VAD) and anemia in preschool children. The results indicate that DBS is suitable for diagnosing VAD in children, but not for anemia.
JOURNAL OF NUTRITION
(2021)
Article
Computer Science, Artificial Intelligence
Hongtao Liu, Jiahao Wei, Tianyi Xu
Summary: In this paper, a new community detection method called CPGC is proposed, which combines the community perspective and graph convolution network to address the challenges of overlapping communities in attributed networks. CPGC achieves state-of-the-art results in nonoverlapping or overlapping communities, as demonstrated by experiments on various real-world networks.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Family Studies
Emma Armstrong-Carter, Emily S. Bibby, Melissa Burroughs, Jessica E. Flannery, Benjamin W. Nelson, Natasha Duell, Mitch J. Prinstein, Eva H. Telzer
Summary: This study explored the relationship between adolescents' risk-taking behaviors and prosocial behaviors on a daily basis, with a focus on how this connection varies depending on adolescents' levels of social craving. The findings suggest that when adolescents are highly motivated to connect with others, their risk-taking and prosocial tendencies tend to co-occur in daily life, independent of individual differences in sensation seeking.
JOURNAL OF RESEARCH ON ADOLESCENCE
(2022)
Article
Developmental Biology
Jason Jose Bendezu, Casey D. Calhoun, Meghan Vinograd, Megan W. Patterson, Karen D. Rudolph, Matteo Giletta, Paul Hastings, Matthew K. Nock, George M. Slavich, Mitchell J. Prinstein
Summary: This study demonstrates the potential value of exploring profiles of joint HPA-inflammatory stress responsivity in distinguishing well-regulated from dysregulated HPA axis function in adolescents. It also highlights the importance of considering pubertal development and peer stress exposure when interpreting cortisol stress response patterns.
DEVELOPMENTAL PSYCHOBIOLOGY
(2022)
Article
Family Studies
Marjolein E. A. Barendse, Jessica Flannery, Caitlin Cavanagh, Melissa Aristizabal, Stephen P. Becker, Estelle Berger, Rosanna Breaux, Nicole Campione-Barr, Jessica A. Church, Eveline A. Crone, Ronald E. Dahl, Tracy A. Dennis-Tiwary, Melissa R. Dvorsky, Sarah L. Dziura, Suzanne van de Groep, Tiffany C. Ho, Sarah E. Killoren, Joshua M. Langberg, Tyler L. Larguinho, Lucia Magis-Weinberg, Kalina J. Michalska, Jordan L. Mullins, Hanna Nadel, Blaire M. Porter, Mitchell J. Prinstein, Elizabeth Redcay, Amanda J. Rose, Wendy M. Rote, Amy K. Roy, Sophie W. Sweijen, Eva H. Telzer, Giana I. Teresi, April Gile Thomas, Jennifer H. Pfeifer
Summary: This study aimed to examine the changes in depression and anxiety symptoms among a sample of 1,339 adolescents from three countries during the first 6 months of the COVID-19 pandemic. The results showed a significant increase in depression symptoms, while anxiety symptoms did not change significantly. Multiethnic adolescents and those under lockdown restrictions reported the most negative impacts on mental health.
JOURNAL OF RESEARCH ON ADOLESCENCE
(2023)
Article
Neurosciences
Olivia H. Pollak, Seh-Joo Kwon, Nathan A. Jorgensen, Kristen A. Lindquist, Eva H. Telzer, Mitchell J. Prinstein
Summary: Rates of nonsuicidal self-injury (NSSI) increase dramatically in adolescence. This study found that greater amygdala reactivity to social punishment predicted greater NSSI engagement 1 year later among adolescents with high peer rejection.
BIOLOGICAL PSYCHIATRY
(2023)
Article
Neurosciences
Andrea Pelletier-Baldelli, Margaret A. Sheridan, Sarah Glier, Anais Rodriguez-Thompson, Kathleen M. Gates, Sophia Martin, Gabriel S. Dichter, Kinjal K. Patel, Adrienne S. Bonar, Matteo Giletta, Paul D. Hastings, Matthew K. Nock, George M. Slavich, Karen D. Rudolph, Mitchell J. Prinstein, Adam Bryant Miller
Summary: The motivation to socially connect with peers increases during adolescence, and these changes in social motivation can impact risk for psychopathology. To understand the specific motivational presentations that confer greater psychopathology risk, a study was conducted on a sample of girls aged 9-15. The findings showed that greater psychopathology was associated with heightened social goals and denser connections among brain regions involved in social-affective and cognitive control.
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2023)
Article
Neurosciences
Nathan A. Jorgensen, Keely A. Muscatell, Ethan M. McCormick, Mitchell J. Prinstein, Kristen A. Lindquist, Eva H. Telzer
Summary: This study examined how neighborhood disadvantage and racial/ethnic background intersect in relation to neural sensitivity to social cues. The findings suggest that different racial/ethnic groups of adolescents may show differential neural responses to social threats and rewards based on the level of neighborhood disadvantage.
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
(2023)
Article
Psychology, Developmental
Emma Armstrong-Carter, Kathy T. Do, Natasha Duell, Seh-Joo Kwon, Kristen A. Lindquist, Mitch J. Prinstein, Eva H. Telzer
Summary: There is a link between prosocial tendencies and social risk perceptions in adolescents. This link changes significantly across adolescence, with younger adolescents showing a negative association between prosocial tendencies and social risk tolerance, while relatively older adolescents show a marginal positive association. Individual differences also emerge, with empathy being a significant factor.
SOCIAL DEVELOPMENT
(2023)
Article
Pediatrics
Maria T. Maza, Kara A. Fox, Seh-Joo Kwon, Jessica E. Flannery, Kristen A. Lindquist, Mitchell J. Prinstein, Eva H. Telzer
Summary: This study examines the association between frequency of social media checking behaviors and changes in brain development among adolescents. The findings suggest that habitual social media use is associated with decreased sensitivity to social feedback in the brain. Further research is needed to understand the long-term effects of social media use on adolescent neural development and psychological adjustment.
Article
Psychology, Developmental
Emma Armstrong-Carter, Shedrick L. Garrett, Elizabeth A. Nick, Mitchell J. Prinstein, Eva H. Telzer
Summary: This longitudinal study investigated the relationship between adolescents' use of social media for peer interaction and their experiences of social connectedness, social craving, and sensation seeking. The study also examined whether these associations differ for adolescents who are more susceptible to social influences. The findings revealed that highly susceptible adolescents, when using social media to interact with peers, felt less socially connected and had stronger cravings for social connections and novel sensations. This suggests that youth who are highly sensitive to social input from peers may experience decreased social connectedness and increased longing for social connections and exciting experiences within an hour of using social media to interact with peers.
DEVELOPMENTAL PSYCHOLOGY
(2023)
Editorial Material
Psychology, Clinical
Andres de los Reyes, Catherine C. Epkins, Gordon J. G. Asmundson, Tara M. Augenstein, Kimberly D. Becker, Stephen P. Becker, F. Tony Bonadio, Jessica L. Borelli, Rhonda C. Boyd, Catherine P. Bradshaw, G. Leonard Burns, Gino Casale, Jose M. Causadias, Christine B. Cha, Bruce F. Chorpita, Joseph R. Cohen, Jonathan S. Comer, Sheila E. Crowell, Melanie Ann Dirks, Deborah A. G. Drabick, George J. DuPaul, Katherine B. Ehrlich, Spencer C. Evans, Steven W. Evans, Julia W. Felton, Paula J. Fite, Kenneth D. Gadow, Chardee A. Galan, S. Andrew Garbacz, Noni Gaylord-Harden, Kathryn L. Humphreys, Alan H. Gerber, Aaron Hogue, Masha Y. Ivanova, Matthew A. Jarrett, Amanda Jensen-Doss, Erin Kang, Philip C. Kendall, Robert D. Laird, Joshua M. Langberg, David A. Langer, Steve S. Lee, Matthew D. Lerner, Melissa A. Lippold, Aaron M. Luebbe, Bridget A. Makol, Bryce D. McLeod, Robert J. McMahon, Meghan Miller, Christine M. Ohannessian, Thomas H. Ollendick, Armando Pina, Mitchell J. Prinstein, Jill Rabinowitz, Elizabeth K. Reynolds, Randall T. Salekin, Jessica L. Schleider, Judith C. Scott, Jennifer L. Tackett, Elizabeth Talbott, Wendy K. Silverman, Angela Page Spears, Nathaniel von der Embse, Lauren S. Wakschlag, Mo Wang, Ashley L. Watts, John R. Weisz, Bradley A. White, Susan W. White, Eric A. Youngstrom
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY
(2023)
Article
Psychology, Educational
Nathan H. Field, Mitchell J. Prinstein
Summary: The study examined the associations between parental, friend, and peer injunctive norms and the onset and frequency of substance use among a diverse sample of 868 seventh- and eighth-grade adolescents. The results showed that adolescents' substance use norms were more lenient than their perceptions of parents' and stricter than their perceptions of friends'. Stricter perceptions of parent and friend norms were associated with a later onset of substance use.
Article
Psychology, Developmental
Benjamin W. Nelson, Olivia H. Pollak, Matthew G. Clayton, Eva H. Telzer, Mitchell J. Prinstein
Summary: Recent theoretical models suggest that failures in biological stress regulation in contexts of social stress may be related to increases in self-injurious thoughts and behaviors (SITBs) during adolescence. This study used a longitudinal design to examine the interaction between social conflict and cardiac arousal in predicting adolescents' engagement in SITBs over a 1-year follow-up. The results showed that greater peer conflict combined with higher resting heart rate predicted significant increases in nonsuicidal self-injury (NSSI) among adolescents. Social conflict did not interact with cardiac arousal to predict future suicidal ideation (SI). These findings highlight the importance of peer-related interpersonal stress and physiological vulnerabilities in understanding risk for self-injury in adolescents.
DEVELOPMENT AND PSYCHOPATHOLOGY
(2023)
Article
Psychology, Clinical
Andrea Wiglesworth, Bonnie Klimes-Dougan, Mitchell J. Prinstein
Summary: This study examines the reporting patterns of suicide ideation and attempts among Native American adolescents compared to other ethnoracial backgrounds. The findings show that Native American youth are more likely to report suicide attempts after reporting ideation, while White youth are less likely to report ideation without attempts.
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY
(2023)
Article
Psychology, Clinical
Matthew G. Clayton, Benjamin W. Nelson, Matteo Giletta, Paul D. Hastings, Matthew K. Nock, Karen D. Rudolph, George M. Slavich, Mitchell J. Prinstein
Summary: Adolescents' suicidal behavior may be influenced by interpersonal stress, but individual differences in stress-related inflammatory reactivity may also play a role. This study examined how inflammatory reactivity moderated the association between interpersonal stress and suicidal behavior in at-risk adolescent females. The results showed that blunted cytokine reactivity intensified the effect of high interpersonal stress exposure on risk for suicidal behaviors over a 9-month period. More research is needed to further understand the role of inflammation reactivity in adolescents.
RESEARCH ON CHILD AND ADOLESCENT PSYCHOPATHOLOGY
(2023)
Article
Psychology, Educational
Nathan H. Field, Sophia Choukas-Bradley, Matteo Giletta, Eva H. Telzer, Geoffrey L. Cohen, Mitchell J. Prinstein
Summary: This study found that conformity to high-status e-confederates was associated with increased identification with popular peers and subsequent increases in self-esteem, particularly for boys.
