Development of a Model for Soil Salinity Segmentation Based on Remote Sensing Data and Climate Parameters by Gulzira Abdikerimova, Dana Khamitova, Akmaral Kassymova, Assyl Bissengaliyeva, Gulsara Nurova, Murat Aitimov, Yerlan Alimzhanovich Shynbergenov, Moldir Yessenova, Roza Bekbayeva

“…The final model is trained on an extended feature space and demonstrates improved results compared to traditional approaches. …”
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Features of legal regulation of labor relation of aviation personnel by A. V. Zhyla, A. O. Hordeiuk

“…The author emphasizes the dominant mission of aviation personnel in providing flight safety and the need for their training and retraining even in difficult situations, which is important for the resumption of the effective functioning of civil aviation in peacetime. …”
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Physical impact of volleyball matches on adolescent athletes: Insights into fatigue and recovery by Atri Widowati, Grafitte Decheline, Fitri Diana, Sugih Suhartini, Yonifia Anjanika

“…Conclusion: Volleyball matches impose significant physiological and physical demands, with BLC normalising within three hours but sprint and CMJ requiring extended recovery. Tailored recovery strategies and high-moderate intensity training modifications are vital for optimising performance and managing fatigue. …”
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An open-source family of large encoder-decoder foundation models for chemistry by Eduardo Soares, Emilio Vital Brazil, Victor Shirasuna, Dmitry Zubarev, Renato Cerqueira, Kristin Schmidt

“…This structure appears to result from the decoder-based reconstruction objective used during pre-training. These findings suggest that the proposed models can serve as general-purpose tools for molecular analysis and reasoning with minimal supervision.…”
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WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales by Montgomery L. Flora, Corey Potvin

“…Most AI‐NWP models, however, have been trained on global ECMWF Reanalysis version 5 data, which does not resolve storm‐scale evolution. …”
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A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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Evaluation of the Knowledge and Awareness Level of the Pediatric Residents About the Diagnosis, Treatment and Follow-up of Urinary Tract Infection in Children by Fatma Devrim, Dorukhan Besin, Aslı Kantar Özşahin, Betül Pehlivan Zorlu, Özlem Dur, Ebru Yılmaz, Nida Dincel

“… Objective: In this study, we sought to assess pediatric residents’ level of knowledge about the diagnosis, treatment, and follow-up of urinary tract infection in children. …”
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Lower-Limb Flexibility Profile in 142 Competitive Female Football Players: A Cross-Sectional Study by Antonio Cejudo, Riccardo Izzo, Francisco Javier Robles-Palazón, María Teresa Martínez-Romero, Pilar Sainz de Baranda

“…Background/Objectives: The ROM-SPORT is a test battery for assessing flexibility that measures the range of motion (ROM) in the sport. …”
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Sacral neuromodulation update in 2024: Insights from the ICS workshop 2023 by Emre Huri, Hashim Hashim, Jacqueline Zillioux, Marcio Augusto Averbeck, Sarah McAchran, Howard Goldman

“…Conclusions:: Hands-on training workshops on sacral neuromodulation is efficient training modules to ensure learning objectives for participants. …”
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An infrared dataset for partially occluded person detection in complex environment for search and rescue by Zhuoyuan Song, Yili Yan, Yixin Cao, Shengzhi Jin, Fugui Qi, Zhao Li, Tao Lei, Lei Chen, Yu Jing, Juanjuan Xia, Xiangyang Liang, Guohua Lu

“…We expected POP would extend present methodologies for the search of human objects under complex occluded circumstances.…”
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Fish Detection Using Deep Learning by Suxia Cui, Yu Zhou, Yonghui Wang, Lujun Zhai

“…Experimental results showed that the proposed model is promising, and has the potential to be extended to other underwear objects.…”
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Domain Adaptive Urban Garbage Detection Based on Attention and Confidence Fusion by Tianlong Yuan, Jietao Lin, Keyong Hu, Wenqian Chen, Yifan Hu

“…To overcome the challenges posed by limited garbage datasets and the laborious nature of data labeling in urban garbage object detection, we propose an innovative unsupervised domain adaptation approach to detecting garbage objects in urban aerial images. …”
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A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis by Spencer A Arbuckle, Anna Sophie Knill, Michelle H Chan-Cortés, Gabriela Rozanski, Anastasia Elena Ford, Louis T Derungs, John W Krakauer, Naveed Ejaz, David Putrino, Jenna Tosto-Mancuso, Meret Branscheidt

“…The approach shows that training time can be successfully decoupled from therapist-presence without compromising adherence, outcomes, or patient satisfaction over an extended program period. …”
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Impact of work schedules of senior resident physicians on patient and resident physician safety: nationwide, prospective cohort study by Christopher P Landrigan, Salim Qadri, Jason P Sullivan, Charles A Czeisler, Laura K Barger, Matthew D Weaver

“…These data suggest that regulatory bodies in the US and elsewhere should consider lowering weekly work hour limits, as the European Union has done, and eliminating shifts of extended duration to protect the more than 150 000 physicians training in the US and their patients.…”
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NEW WAY OF DETERMINING HORIZONTAL DISPLACEMENT IN COMPETITIVE TRAMPOLINING by Katja Ferger, Michel Hackbarth

“… The assessment criteria for competitive trampolining, which is primarily both a technical and a compositional form of sport, have been extended by the addition of some objectively measurable parameters in recent years. …”
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Virtual Reality as a Tool for Upper Limb Rehabilitation in Rett Syndrome: Reducing Stereotypies and Improving Motor Skills by Rosa Angela Fabio, Martina Semino, Michela Perina, Matteo Martini, Emanuela Riccio, Giulia Pili, Danilo Pani, Manuela Chessa

“…Future research should explore the customization of VR environments to maximize the generalization of skills and sustain motivation over extended training periods.…”
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FeatureForest: the power of foundation models, the usability of random forests by Mehdi Seifi, Damian Dalle Nogare, Juan Manuel Battagliotti, Vera Galinova, Ananya Kedige Rao, Pierre-Henri Jouneau, Anwai Archit, AI4Life Horizon Europe Programme Consortium, Constantin Pape, Johan Decelle, Florian Jug, Joran Deschamps

“…Abstract Analysis of biological images relies heavily on segmenting the biological objects of interest in the image before performing quantitative analysis. …”
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New design paradigm for federated edge learning towards 6G:task-oriented resource management strategies by Zhiqin WANG, Jiamo JIANG, Peixi LIU, Xiaowen CAO, Yang LI, Kaifeng HAN, Ying DU, Guangxu ZHU

“…Objectives: To make full use of the abundant data distributed at the edge of the network to serve the training of artificial intelligence models, edge intelligence technology represented by federated edge learning emerges as the times require. …”
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Left ventricular global longitudinal strain in patients treated with immune checkpoint inhibitors by Ece Celebi Coskun, Alper Coskun, Ahmet Bilgehan Sahin, Fatih Levent, Eyup Coban, Fatih Koca, Seda Sali, Omer Furkan Demir, Adem Deligonul, Erhan Tenekecioglu, Erdem Cubukcu, Turkkan Evrensel, Fahriye Vatansever Agca

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Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing by Na-Young Lim, Tae-Hyoung Park

“…Second, we introduce a 2D Bird’s Eye View (BEV)-based clustering approach, which is faster and more robust than traditional 3D Euclidean clustering, to generate object candidates efficiently. Additionally, a machine learning classifier trained on long-range vehicle features is incorporated to enhance detection accuracy at extended distances. …”
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