QUALITY OF PRE-SERVICE TEACHERS’ TRAINING FOR RESEARCH WORK IN THE FIELD OF UNIVERSITY LECTURERS EVALUATION by T. A. Strokova, L. M. Volosnikova

“…Obligatory presence of research competence among graduates of pedagogical specialties of higher education institutions is declared in federal state educational standards of the higher school.The aim of the article is to direct attention of high school educators to the topical problem of pre-service teachers’ creativity development and the need to strengthen their methodological training.Methodology and research methods. Based on understanding of education quality as the ensemble of its essential characteristics (properties according to A. …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

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Adapted Swin Transformer-based real-time plasma shape detection and control in HL-3 by Qianyun Dong, Zhengwei Chen, Rongpeng Li, Zongyu Yang, Feng Gao, Yihang Chen, Fan Xia, Wulyu Zhong, Zhifeng Zhao

“…In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through equilibrium reconstruction or matrix mapping method. …”
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A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation by Feng Hu, Mengyun Zhang, Bo Chen

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Development and validation of MRI-derived deep learning score for non-invasive prediction of PD-L1 expression and prognostic stratification in head and neck squamous cell carcinoma by Cong Ding, Yue Kang, Fan Bai, Genji Bai, Junfang Xian

“…We developed deep learning models based on the ResNet-101 convolutional neural network to analyze three MRI sequences (T1WI, T2WI, and contrast-enhanced T1WI). …”
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Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magn... by Zhe Min, Fernando J. Bianco, Qianye Yang, Wen Yan, Ziyi Shen, David Cohen, Rachael Rodell, Dean C. Barratt, Yipeng Hu

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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space by Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai, Jinyuan Liu, Yanfei Wang, Hiroaki Shigemasu

“…In the future, it is necessary to explore methods for easier manipulating of depth cue signals in stereoscopic images and adopting deep learning-related methods to construct models and predict depths, to meet the increasing demand of human–computer interaction in complex 3D scenarios.…”
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IL-6-Inducing Peptide Prediction Based on 3D Structure and Graph Neural Network by Ruifen Cao, Qiangsheng Li, Pijing Wei, Yun Ding, Yannan Bin, Chunhou Zheng

“…IL-6-inducing peptides are critical for the development of immunotherapy and diagnostic biomarkers for some diseases. Most existing methods for predicting IL-6-induced peptides use traditional machine learning methods, whose feature selection is based on prior knowledge. …”
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Associations between all-cause and ischemic heart disease mortality and long-term ambient ultrafine particles exposure: a comparison of statistical and machine learning exposure mo... by Julien Vachon, Audrey Smargiassi, Keith Van Ryswyk, Éric Lavigne, Elhadji Anassour Laouan Sidi, Claudia Blais, Stéphane Buteau

“…Annual mean UFPs exposure at participants postal code were estimated from different statistical and machine learning methods previously developed based on a one-year mobile monitoring campaign. …”
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network by Xinyue Du, Ke Cheng, Jin Zhang, Yuanyu Wang, Fan Yang, Wei Zhou, Yu Lin

“…Infrared weak and small target detection technology has attracted much attention in recent years and is crucial in the application fields of early warning, monitoring, medical diagnostics, and anti-UAV detection.With the advancement of deep learning, CNN-based methods have achieved promising results in general-purpose target detection due to their powerful modeling capabilities; however, CNN-based methods cannot be directly applied to infrared small targets due to the disappearance of deep targets caused by multiple downsampling operations. …”
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Breast Cancer Classification Using Fine-Tuned SWIN Transformer Model on Mammographic Images by Oluwatosin Tanimola, Olamilekan Shobayo, Olusogo Popoola, Obinna Okoyeigbo

“…Mammography procedures are often used to detect early-stage cancer cells. This traditional method of mammography while valuable has limitations in its potential for false positives and negatives, patient discomfort, and radiation exposure. …”
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Underwater Sound Speed Profile Inversion Based on Res-SACNN from Different Spatiotemporal Dimensions by Jiru Wang, Fangze Xu, Yuyao Liu, Yu Chen, Shu Liu

“…It combines the spatiotemporal characteristics of sea level anomaly (SLA) and sea surface temperature anomaly (SSTA) data and establishes a nonlinear relationship between satellite remote sensing data and sound speed field by deep learning. The single empirical orthogonal function regression (sEOF-r) method is used in a comparative experiment to confirm the model’s performance in both the time domain and the region. …”
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A novel machine learning-assisted clinical diagnosis support model for early identification of pancreatic injuries in patients with blunt abdominal trauma: a cross-national study by Sai Huang, Xuan Zhang, Bo Yang, Yue Teng, Li Mao, Lili Wang, Jing Wang, Xuan Zhou, Li Chen, Yuan Yao, Cong Feng

“…Conclusion. A novel machine learning-based model was developed to support clinical diagnosis to detect pancreatic injuries in patients with blunt abdominal trauma at an early stage.…”
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Overview on Intrusion Detection Systems for Computers Networking Security by Lorenzo Diana, Pierpaolo Dini, Davide Paolini

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FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems by Ruoxin Zhang, Angela An, Mingcan Cen, Chong Zhang, Aimee Huangfu, Sunny Vinnakota, Shuxiang Song

“…Additionally, it employs a dynamic learning rate and iterative control algorithm, which adaptively adjusts learning rates and training epochs based on loss monitoring to prevent suboptimal convergence. …”
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Bayesian adaptive trials for social policy by Sally Cripps, Anna Lopatnikova, Hadi Mohasel Afshar, Ben Gales, Roman Marchant, Gilad Francis, Catarina Moreira, Alex Fischer

“…Recognizing the crucial need for evidence-based approaches in public policy, the proposed approach aims to lower barriers to the adoption of evidence-based methods and to align evaluation processes more closely with the dynamic nature of policy cycles. …”
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Promoting Resilience in Youth through Mindfulness mEditation (PRYME): Study protocol for a randomized controlled trial investigating the effects of mindfulness training as add-on t... by Maud Schepers, Paul Lagerweij, Dirk Geurts, Florian Krause, Hanneke den Ouden, Roshan Cools, Anne Speckens, Guusje Collin

“…The investigational treatment, the Learning to Offset Stress program, is an adaptation of existing mindfulness-based programs. …”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…Therefore, in this study, we introduced a collision-free path planning method for a 6-DoF orchard harvesting manipulator using an RGB-D camera and the Bi-RRT algorithm. …”
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Health Care Professionals and Data Scientists’ Perspectives on a Machine Learning System to Anticipate and Manage the Risk of Decompensation From Patients With Heart Failure: Quali... by Joana Seringa, Anna Hirata, Ana Rita Pedro, Rui Santana, Teresa Magalhães

“…Incorporation of this study’s findings into practice is expected to contribute to developing and implementing ML-based predictive models that positively impact HF management.…”
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A multi-centred pilot randomised controlled trial of learning through play plus culturally adapted cognitive behaviour therapy for treating postnatal depression in Nigerian women by Dung Ezekiel Jidong, Dung Ezekiel Jidong, Tarela Juliet Ike, Maigari Yusuf Taru, Juliet Yop Pwajok, Charles Nnaemeka Nwoga, John Ezekiel Jidong, Christopher Francis, Shadrack Bitrus Mwankon, Karick Haruna, Zubairu Dagona, Nusrat Husain, Nusrat Husain

“…In Nigeria, there is limited access to evidence-based culturally appropriate care for mothers affected by postnatal depression.MethodsThis study was a multi-centre, two-arm, parallel-group, single-blind, individually randomised controlled trial design adopted to test the feasibility, cultural appropriateness and acceptability of Learning Through Play plus Culturally adapted Cognitive Behaviour Therapy (LTP+CaCBT). …”
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