Social–Emotional Competence for Children with Identified Developmental Concerns: The Impact of Parenting and Executive Function by Courtney Boise, Lisa L. Knoche

“…Unfortunately, young children with the dual risk of low-income status and identified developmental concerns are more likely to have lower social–emotional learning. This study examines (a) bidirectional associations between dyadic parenting behaviors, executive function, and social–emotional competence; and (b) executive function as an explanatory mechanism for the predictive relationship between specific parenting behaviors and children’s social–emotional competence. …”
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Potential Source Density Function: A New Tool for Identifying Air Pollution Sources by In Sun Kim, Yong Pyo Kim, Daehyun Wee

“…Abstract Potential source density function (PSDF) is developed to identify, that is, locate and quantify, source areas of ambient trace species based on Gaussian process regression (GPR), a machine-learning technique. …”
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DIDACTIC POTENTIAL OF MOBILE APPLICATIONS FOR LEARNING ENGLISH AS A FOREIGN LANGUAGE by Blynova Neliia, Kyrylova Oksana, Dolzhenko Maryna

“…Both individual and group work is provided in the applications. The function of group English learning can be easily used during classroom classes. …”
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Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

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Neurogranin in Alzheimer's Disease: Roles in synaptic function, pathology, and potential as a diagnostic biomarker by Rajkumar Bavaharini, Chaitanya Sree Somala, Konda Mani Saravanan, Thirunavukarasou Anand

“…Thus, proteins involved in synaptic function, such as Ng, are of great interest in studying the disease. …”
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The impact of the COVID-19 pandemic on family functioning and assessment of psycho-social support needs by Despotović Vera, Tanasijević Jelena

“…The newly created circumstances in that contact, which included quarantine, lockdown, the closing of schools, transition to a distance learning model, and working from home, adversely affected both the family as a system, i.e., family functioning, and parenting itself. …”
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Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Diffractive neural networks (DNNs) are emerging as a novel optical computing architecture that combines wave optics with deep-learning methods for high-speed parallel information processing. …”
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Improving healthy food recommender systems through heterogeneous hypergraph learning by Jing Wang, Jincheng Zhou, Muammer Aksoy, Nidhi Sharma, Md Arafatur Rahman, Jasni Mohamad Zain, Mohammed J.F. Alenazi, Aliyeh Aminzadeh

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The relationship between social participation and cognitive function early after surgery of glioma patients. by Yinglian Xiao, Jing Tan, Guo Cheng, Yanhong Deng

“…<h4>Methods</h4>This study included 179 postoperative patients with gliomas within 6 months of surgery. Cognitive functioning was measured by the Montreal Cognitive Assessment (MoCA) including orientation, attention, learning and memory, executive functioning and verbal fluency. …”
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Fractional Calculus for Neutrosophic-Valued Functions and Its Application in an Inventory Lot-Sizing Problem by Rakibul Haque, Mostafijur Rahaman, Adel Fahad Alrasheedi, Dimplekumar Chalishajar, Sankar Prasad Mondal

“…Past experiences and memory significantly contribute to self-learning and improved decision-making. These can assist decision-makers in refining their strategies for better outcomes. …”
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Pedotransfer function for determining saturated hydraulic conductivity using Artificial Neural Network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan, Jan Kołodziej

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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). EOF expansions can provide very strong signals. …”
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Memory function in patients with opioid dependence treated with buprenorphine and methadone in comparison with healthy persons by Sara Kamali Ardakani, Sara Mahmoudi, Khaled Rahmani, Narges Shamsalizadeh

“…Abstract Methadone and buprenorphine are commonly used for drug abuse treatment but may impair cognitive function. This study assessed memory performance in patients receiving these treatments compared to healthy controls. …”
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A comprehensive review of the functionality and applications of unmanned aerial vehicles (UAVs) in the realm of agriculture by Bharath Kumar Komatineni, Swetha Makam, Sanwal Singh Meena

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Cross temporal scale pig face recognition based on deep learning by Tao Luo, Cheng Wang, Dong Wang, Zihao Zhao, Hao Huang, Shuhong Zhao, Xinggang Wang, Xuewen Xu

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Is sharing just a function of viewing? The sharing of political and non-political news on Facebook by Damian Trilling, Juhi Kulshrestha, Claes de Vreese, Denis Halagiera, Jakub Jakubowski, Judith Möller, Cornelius Puschmann, Agnieszka Stępińska, Sebastian Stier, Cristian Vaccari

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The CPEB protein Orb2 has multiple functions during spermatogenesis in Drosophila melanogaster. by Shuwa Xu, Nathaniel Hafer, Blessing Agunwamba, Paul Schedl

“…Drosophila has a single CPEB gene, orb and orb2, from each subfamily. orb expression is only detected at high levels in the germline and has critical functions in oogenesis but not spermatogenesis. By contrast, orb2 is broadly expressed in the soma; and previous studies have revealed important functions in asymmetric cell division, viability, motor function, learning, and memory. …”
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SEDFMNet: A Simple and Efficient Unsupervised Functional Map for Shape Correspondence Based on Deconstruction by Haojun Xu, Qinsong Li, Ling Hu, Shengjun Liu, Haibo Wang, Xinru Liu

“…In recent years, deep functional maps (DFM) have emerged as a leading learning-based framework for non-rigid shape-matching problems, offering diverse network architectures for this domain. …”
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Referenceless 4D flow cardiovascular magnetic resonance with deep learning by Chiara Trenti, Erik Ylipää, Tino Ebbers, Carl-Johan Carlhäll, Jan Engvall, Petter Dyverfeldt

“…Methods: A U-Net was trained with adversarial learning (U-NetADV) and with a velocity frequency-weighted loss function (U-NetVEL) to predict the reference encoding from the three motion encodings obtained with a non-symmetric velocity-encoding scheme. …”
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Functional Decoupling of Emotion Coping Network Subsides Automatic Emotion Regulation by Implementation Intention by Shengdong Chen, Nanxiang Ding, Fushun Wang, Zhihao Li, Shaozheng Qin, Bharat B. Biswal, Jiajin Yuan

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