Developmental psychopathology has successfully advanced an understanding of risk and protective factors in multivariate models. However, many areas have relied on top-down approaches that define psychological constructs based largely or solely on their physical form. In this paper, we first describe how top-down approaches have significantly hindered progress by generating generic risk and protective models that yield little more than the conclusion that axiomatically positive and negative factors respectively beget an interchangeable array of positive and negative child sequelae. To advance precision and novelty as central priorities, we describe behavioral systems frameworks rooted in evolutionary theory that infuse both form (i.e., what it looks like) and function (what it is designed to do) into psychological constructs. We further address how this paradigm has generated new growing points for developmental models of interparental relationships and parenting. In the final section, we provide recommendations for expanding this approach to other areas of developmental psychopathology. Throughout the paper, we document how the focus on functional patterns of behavior in well-defined developmental contexts advance precision and novelty in understanding children's response processes to threats, opportunities, and challenges in associations between their developmental histories and their psychological sequelae.
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http://dx.doi.org/10.1017/S0954579424000221 | DOI Listing |
Data Brief
February 2025
Tashkent institute of textile and light industry, 5, Shoxdjaxon str., Tashkent city 100100, Uzbekistan.
In this study, the authors presented a dataset for named entity recognition in the Uzbek language. The dataset consists of 2000 sentences and 25,865 words, and the sources were legal documents and hand-crafted sentences annotated using the BIOES scheme. The study is complemented by the fact that the authors demonstrated the applications of the created dataset by training a language model using the CNN + LSTM architecture, which achieves high accuracy in NER tasks, with an F1 score of 90.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea.
Our naturalistic experiences are organized into memories through multiple processes, including novelty encoding, memory formation, and retrieval. However, the neural mechanisms coordinating these processes remain elusive. Using fMRI data acquired during movie viewing and subsequent narrative recall, we examine hippocampal neural subspaces associated with distinct memory processes and characterized their relationships.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Theoretical Physics Section, Bhabha Atomic Research Centre, Mumbai-400085, India.
Extensive research on ultrashort laser-induced melting of noble metals like Au, Ag and Cu is available. However, studies on laser energy deposition and thermal damage of their alloys, which are currently attracting interest for energy harvesting and storage devices, are limited. This study investigates the melting damage threshold (DT) of three intermetallic alloys of Au and Cu (AuCu, AuCu and AuCu) subjected to single-pulse femtosecond laser irradiation, comparing them with their constituent metals.
View Article and Find Full Text PDFAnal Chim Acta
February 2025
School of Agricultural Engineering and Food Science, Shandong University of Technology, Zibo, 255000, China. Electronic address:
Background: Food safety has attracted increasing attention in recent years. Harmful gases often produced during food storage have devastating effects on human health and ecosystems, and identifying and detecting them is essential. To date, many traditional methods have been used to monitor the freshness of food products.
View Article and Find Full Text PDFSci Rep
January 2025
Department of EEE, JCT College of Engineering and Technology, Coimbatore, Tamil Nadu, 641105, India.
This manuscript proposes the Jellyfish Search Optimization (JSO) algorithm-based Fractional Order Proportional-Integral-Derivative (FOPID) controller tuning for a paper machine headbox. The novelty of this method lies in integrating the JSO technique for optimizing the parameters of the FOPID controller to monitor and control headbox pressure and stock level efficiently and effectively. The JSO algorithm ensures optimal tuning of controller parameters by minimizing error indices such as Integral of Squared Error (ISE), Integral of Time Absolute Error (ITAE), and Integral of Absolute Error (IAE).
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