High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing by Antonio García-Garví, Antonio-José Sánchez-Salmerón

“…We evaluate two main approaches: traditional machine learning models based on behavioral features extracted from the worm’s skeleton using Tierpsy Tracker, and deep neural networks that directly analyse video sequences. …”
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ECOLOGICAL THERAPY AS CORRECTIONAL AND PEDAGOGICAL ELEMENT OF INTEGRATED APPROACH IN THE TREATMENT OF LOGONEUROSIS AMONG PRESCHOOL CHILDREN by I. V. Kalashnikova, N. V. Saltan, O. B. Gontar, V. K. Zhirov

“…The aims of the publication are: to analyse domestic experience of education and training of preschool children with logoneurosis; to designate the causes and displays of this disease; to define the problems arising through organization of correctional work in preschool institution taking into account modern requirements of the Russian legislation and climatic features of regions; to present a possible version of the solution of these problems.Methods. …”
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A systematic scoping review of mentoring support on professional identity formation by Lalit Kumar Radha Krishna, Hannah Yi Fang Kwok, Nila Ravindran, Xuan Yu Tan, Jasper Soh, Darius Wei Jun Wan, Varsha Rajalingam, Jun Kiat Lua, Elizabeth Yong Mei Leong, Tiat Yan Low, Aiden Wei-Jun Chan, Chong Jin Nicholas Lim, Yen Kit Ng, Arthena Anushka Thenpandiyan, Adele Yi Dawn Lim, Leia Ning Tse, Sriram PL, Sri Priyanka Rajanala, Jun Rey Leong, Elaine Li Ying Quah, Victoria Jia En Fam, Ranitha Govindasamy, Nur Amira Binte Abdul Hamid, Crystal Lim, Dorsett Shin Wei Sim, Eng Koon Ong, Stephen Mason, Nagavalli Somasundaram, Simon Yew Kuang Ong

“…Methods Adopting PRISMA-ScR guidelines, this SSR was guided by the Systematic Evidence-Based Approach (SEBA). Independent searches were carried out on publications featured between 1st January 2000 and 30th June 2023 in PubMed, Embase, ERIC and Scopus databases. …”
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Integrating Palliative Care and Heart Failure: the PalliatHeartSynthesis realist synthesis by Tracey McConnell, Carolyn Blair, Geoff Wong, Claire Duddy, Clare Howie, Loreena Hill, Joanne Reid

“…These included shared education and experiential learning within and between disciplines across all care settings (CMOc 2.1), communication skills training (CMOc 2.8), public health approach/messaging (CMOc 2.9), evidence-based examples of good practice (CMOc 3) and guidelines embedded in undergraduate (UG) and postgraduate education (CMOc 6). …”
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Explainable, federated deep learning model predicts disease progression risk of cutaneous squamous cell carcinoma by Juan I. Pisula, Doris Helbig, Lucas Sancéré, Oana-Diana Persa, Corinna Bürger, Anne Fröhlich, Carina Lorenz, Sandra Bingmann, Dennis Niebel, Konstantin Drexler, Jennifer Landsberg, Roman Thomas, Katarzyna Bozek, Johannes Brägelmann

“…To further increase generalizability and reduce potential privacy concerns, we trained the model in a federated manner across three clinical centers, reaching AUROC = 0.82 across all cohorts, with image-based risk scores achieving hazard ratios up to 7.42 (p < 0.01) in multivariable analyses. …”
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Constrained Heat Kernel Graph Diffusion Convolution: A High-Dimensional Statistical Approximation via Information Theory by Zhuo-Chen He

“…Among these networks, diffusion-based approaches, such as generalized graph diffusion convolution, have extended conventional immediate neighborhood aggregation function to a diffusion process based on Newton&#x2019;s law of cooling. …”
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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

“…Materials and Methods: We've designed a new deep learning model based on transformers for processing fMRI data. The model includes two blocks, the first block receives fMRI data as input and transforms the input data to a set of features called fMRI space. …”
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Sweet pepper foliar diseases quantification and identification using an image analysis tool by Vijayanandh Rajamanickam, Adesh Ramsubhag, Jayaraj Jayaraman

“…Gray-Level Co-occurrence Matrix (GLCM) extracted the texture features from the diseased area of leaves. These features are trained and classified by various machine learning classifiers including trees, rule-based and Bayes models. …”
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Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques by Arnar Evgení Gunnarsson, Simona Correra, Carol Teixidó Sánchez, Marco Recenti, Halldór Jónsson, Paolo Gargiulo

“…These features were used to train ML models for two tasks: binary classification of healthy vs. pathological tissue and prognostic grading of sarcomas based on the French FNCLCC system. …”
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Social Media Suicide Watch by Katherine Prothro

“…Otherwise, it could be offered in moments of acute crisis, delivering evidence-based support at the time it is most needed. It may also be beneficial to have an opt-in feature that allows apps to share information with trusted health professionals or guardians. …”
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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

“…Complex coastal environments with dynamic features make manual digitisation and threshold-based segmentation inefficient and inaccurate. …”
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ENHANCED COASTLINE EXTRACTION AND EROSION ANALYSIS USING UNET AND DEXINED MODELS by Yan Wang, Adisorn Sirikham, Jessada Konpang, Chunguang Li

“…Complex coastal environments with dynamic features make manual digitisation and threshold-based segmentation inefficient and inaccurate. …”
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El patrimoni educatiu, element d'una pedagògia cultural i ciutadana Educational Heritage: Culture and Citizenship in Education El patrimonio educativo, elemento de una pedagogía cu... by Isabel Carrillo, Eulàlia Collelldemont Pujadas, Pedro Luís Moreno

“…In addition, emphasis is placed on the fact that teaching museums are recasting their activities based on ethical approaches to education that give a central role to citizenship projects. …”
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Multi-view adversarial attack defending method for host intrusion detection by WANG Fei, QIAN Kehan, LYU Mingqi, ZHU Tiantian, CHEN Honglong

“…Host-based intrusion detection (HID) aims to identify attack behaviors through the analysis of host logs. …”
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THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT by Yuliya I. Demyanchuk.

“…Thus, the semantic dominance of the highly specialized terminology in NATO’s official business documents is confirmed by a large sampling based on features identified as a result of monitoring of their extralingual indicators. …”
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Monitoring paddy rice cultivation adjustments in Northeast China through time series remote sensing and deep learning by Shihao Wang, Chong Huang, Lingxiao Huang, Xinliang Xu, Huading Shi, Qingbao Gu, Qiang Xue, Shiai Liu, Chenchen Zhang

“…To these, in this study, we developed a paddy rice mapping framework that integrates automatically generated training samples, time series features from key cultivation stages, and a deep learning model to improve paddy rice identification accuracy in Northeast China, which is a typical rice-wetland coexisting area. …”
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Serbian Early Printed Books from Venice: A Quantitative Approach to Orthographic Variations by Vladimir Polomac, Achim Rabus

“…The research was conducted based on automatically obtained transcripts using a previously trained model for automatic text recognition in the Transkribus software platform. …”
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Wearable Internet-of-Things platform for human activity recognition and health care by Asif Iqbal, Farman Ullah, Hafeez Anwar, Ata Ur Rehman, Kiran Shah, Ayesha Baig, Sajid Ali, Sangjo Yoo, Kyung Sup Kwak

“…These measurements and their statistical are then represented in features vectors that used to train and test supervised machine learning algorithms (classifiers) for activity recognition. …”
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Fútbol para personas con amputaciones: Revisión sistemática exploratoria (Football for people with amputations: Exploratory systematic review) by José Martín Gamonales Puerto, Maykel Durán-Vaca, Luisa Gámez-Calvo, Víctor Hernández-Beltrán, Jesús Muñoz-Jiménez, Kiko León

“…The exploratory systematic review featured ten football related documents for amputees. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 3; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Background Darwin assumed that the peacock’s long train was maladaptive and was the indirect effect of selection by female mate choice based on the train’s beauty. …”
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