Finite element modeling method of centrifugal rotary processing by A. N. Soloviev, M. A. Tamarkin, Nguyen Van Tho

“…In modern production, when performing finishing operations, centrifugal rotary processing in the medium of abrasive plays an important role. High productivity, low costs and extensive technological capabilities are the main advantages of these cleaning and finishing operations. …”
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Prenatal treatment for serious neurological sequelae of congenital toxoplasmosis: an observational prospective cohort study. by Mario Cortina-Borja, Hooi Kuan Tan, Martine Wallon, Malgorzata Paul, Andrea Prusa, Wilma Buffolano, Gunilla Malm, Alison Salt, Katherine Freeman, Eskild Petersen, Ruth E Gilbert, European Multicentre Study on Congenital Toxoplasmosis (EMSCOT)

“…<h4>Conclusion</h4>The finding that prenatal treatment reduced the risk of SNSD in infected fetuses should be interpreted with caution because of the low number of SNSD cases and uncertainty about the timing of maternal seroconversion. …”
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Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation by Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer Antani

“…Background: Large vision models (LVM) pretrained by large datasets have demonstrated their enormous capacity to understand visual patterns and capture semantic information from images. …”
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Exploring the interplay of sensory hypersensitivity and autistic traits in children by Shima keshavarz, Khalil Esmaeilpour

“…Additionally, Spearman’s rank-order correlations were used alongside parametric tests to explore the relationships between sensory hypersensitivity subgroups (Tactile Sensitivity, Taste/Smell Sensitivity, Movement Sensitivity, Seeks Sensation, Auditory Filtering, Low Energy, and Visual/Auditory Sensitivity) and AQ scores. …”
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Research of thermoelectric null-thermostat by O. V. Evdulov, D. A. Magomedov, R. M. Magomedov, K. A. Shikhabidov

“…To study heat transfer processes, visual observation of the movement of the ice-water interface in the null-thermostat chamber was carried out. …”
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Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“…Based on testing, the best performance was obtained on the Decision Tree model with a hamming loss of 0.014, which indicates a very low prediction error rate per individual label.  …”
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Detection of alpha-rod protein repeats using a neural network and application to huntingtin. by Gareth A Palidwor, Sergey Shcherbinin, Matthew R Huska, Tamas Rasko, Ulrich Stelzl, Anup Arumughan, Raphaele Foulle, Pablo Porras, Luis Sanchez-Pulido, Erich E Wanker, Miguel A Andrade-Navarro

“…This can be further visualized using BiasViz, a graphic tool for representation of multiple sequence alignments.…”
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Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

“…During the reconstruction phase, a low-frequency information recovery network generates a preliminary image, whereas a high-frequency feature aggregation network refines the image further. …”
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Pathology of bone epiphyses and frequency of various damage degree cases in patients with rheumatoid arthritis complicated by knee joint frontal deformities by V. V. Hryhorovskyi, Ye. M. Avtomieienko

“…Results of study showed that degree of both clinical and morphometric indices of tibia and femur condyles condition in patients with rheumatoid arthritis and knee joint frontal deformities has no constant, unambiguous tendencies, and occurrence frequencies of cases with high and low degrees vary in wide limits.…”
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Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low throughput. Recent advances in machine learning (ML) have revolutionized the field of microplastic research by automating and enhancing detection processes. …”
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A Clinical Trial Shows Improvement in Skin Collagen, Hydration, Elasticity, Wrinkles, Scalp, and Hair Condition following 12-Week Oral Intake of a Supplement Containing Hydrolysed... by David M. Reilly, Liane Kynaston, Salma Naseem, Eva Proudman, Darcy Laceby

“…Hydration, elasticity, wrinkles, and clinical trichoscopy were measured in parallel to expert visual grading. Efficacy measures were recorded at baseline, week 6, and week 12. …”
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Therapeutic Plasma Exchange in the Management of Postpartum HELLP Syndrome: A Case Report by Parul Jaiswal, Prashant Suryarao, Dipak Kolate

“…Haemolysis, Elevated Liver enzymes and Low Platelet count (HELLP) syndrome is a serious obstetric complication occurring during pregnancy or postpartum. …”
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Optimization of a Navigation System for Autonomous Charging of Intelligent Vehicles Based on the Bidirectional A* Algorithm and YOLOv11n Model by Shengkun Liao, Lei Zhang, Yunli He, Junhui Zhang, Jinxu Sun

“…Aiming to enable intelligent vehicles to achieve autonomous charging under low-battery conditions, this paper presents a navigation system for autonomous charging that integrates an improved bidirectional A* algorithm for path planning and an optimized YOLOv11n model for visual recognition. …”
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Quantum dot nanotechnology: Advancing target drug delivery in Oncology by Pratiksha S. Hanmante, Radheshyam T. Lohiya, Aaditi G. Wankhede, Diksha S. Undirwade, Swati N. Lade, Sushil S. Burle, Milind J. Umekar

“…Conventional cancer treatments still have several serious drawbacks, including low targeted specificity, systemic toxicity, and insufficient therapy monitoring, even with tremendous advancements in oncology. …”
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Rdfinet: reference-guided directional diverse face inpainting network by Qingyang Chen, Zhengping Qiang, Yue Zhao, Hong Lin, Libo He, Fei Dai

“…The network will learn the distribution of face images from different domains in a low-dimensional manifold space. To validate our method, we conducted extensive experiments on the CelebAMask-HQ dataset. …”
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Advancements in artificial intelligence and machine learning for poultry farming: Applications, challenges, and future prospects by Muhammad Halim Natsir, Wayan Firdaus Mahmudy, Mochamad Tono, Yuli Frita Nuningtyas

“…The findings reveal that Convolutional Neural Networks (CNN), especially YOLOv8, offer superior performance in visual-based poultry health detection, achieving over 90 % accuracy for conditions like bumblefoot and woody breast. …”
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A Few-Shot Steel Surface Defect Generation Method Based on Diffusion Models by Hongjie Li, Yang Liu, Chuni Liu, Hongxuan Pang, Ke Xu

“…Few-shot steel surface defect generation remains challenging due to the limited availability of training samples and the complex visual characteristics of industrial defects. Traditional data augmentation techniques often fail to capture the diverse manifestations of defects, resulting in suboptimal detection performance. …”
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A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitchMendeley Data. by Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

“…., statements, questions, and exclamations), which is crucial in tonal and low resource languages such as Kurdish, where intonation holds significant semantic information. …”
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Effectiveness of oral health promotion in children and adolescents through behaviour change interventions: A scoping review. by Fathima Peerbhay, Robert Mash, Saadika Khan

“…But all studies indicated a low risk of bias in attrition and Reporting bias. …”
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Augmented reality live demonstrations during traditional lectures improve understanding of computed tomography data sets by medical students by Alice M. Jacob, Alexander M. C. Böhner, Lucia D. Beissel, Lukas Oelmeier, Mark Born, Anna-Maria Odenthal, Christoph Endler, Andreas Henkel, Matthäus Reinert, Sebastian Nowak, Narine Mesropyan, Alexander Isaak, Claus C. Pieper, Julian A. Luetkens, Daniel Kuetting

“…Using mobile device-based AR proved viable, contributing to democratization of AR, in a low-cost manner and with no need for extended expertise.…”
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