Global Semantic Localization from Abstract Ellipse-Ellipsoid Model and Object-Level Instance Topology by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…In indoor environments, changes in illumination and object occlusion can have a significant impact on visual localization. In this paper, we propose a visual localization method based on an ellipse-ellipsoid model, combined with object-level instance topology and alignment. …”
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Serum vitamin C levels and risk of osteoporosis: results from a cross-sectional study and Mendelian randomization analysis by Zhiwen Liu, Zijing Peng, Yelin Zhong, Jianjun Wu, Sicheng Xiong, Wei Zhong, Jiehua Luo, Zhihai Zhang, Hongxing Huang

“…Mendelian randomization, employing methods such as IVW, reinforced the absence of a significant causal relationship between serum vitamin C levels and osteoporosis risk (IVW OR = 1.000, 95% CI: 0.999–1.001, P = 0.601).Subgroup analyses, visualized through forest plots and restricted cubic spline (RCS) curves, supported the primary findings, showing no significant effects or interactions between vitamin C levels and osteoporosis risk across different demographic and lifestyle subgroups. …”
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Current Evidence Does Support the Use of KT to Treat Chronic Knee Pain in Short Term: A Systematic Review and Meta-Analysis by Wen-hao Luo, Ye Li

“…In studies in which visual analogue scale was measured, a positive effect was observed for KT combined with exercise program training (−3.27 (95% CI: −3.69–2.85, I2 = 0%, P<0.05)). …”
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Sounds and Sights of Motivation: Using Digital Encouragement and Dissociation Strategies during Cardiopulmonary Exercise Testing To Improve Patient Engagement and Diagnostic Qualit... by Sascha Ketelhut, Ralf Brand, Anna Lisa Martin-Niedecken, Daniel Hug

“…Adaptive audio-visual methods could improve test reliability, validity, and workflows while enhancing participant enjoyment. …”
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Efficacy of educational programm for patients with rheumatoid arthritis by E V Bolshakova, A S Iljicheva, N I Korshunov

“…The quality of life correlates with the method of training according to all assessment techniques. …”
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Effectiveness and Safety Analysis of Plasma Beam in the Treatment of Facial Depressed Scars by Juan Li, Xia Zhang

“…The study aimed to analyze the effectiveness and safety of microplasma beam in the treatment of facial depression scars. Methods. 106 patients with facial depression scars treated in the hospital between January 2017 and September 2021 were selected as the observation subjects. …”
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A morpho-density approach to estimating neural connectivity. by Michael P McAssey, Fetsje Bijma, Bernadetta Tarigan, Jaap van Pelt, Arjen van Ooyen, Mathisca de Gunst

“…Current computational methods for estimating connectivity typically rely on the juxtaposition of experimentally available neurons and applying mathematical techniques to compute estimates of neural connectivity. …”
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Patient’s intellectual and memory impairments before and after resection of brain glioma by V. Yu. Cherebillo, M. Yu. Kurnukhina

“…Improvement of verbal and logical memory, visual and associative memory after surgical treatment was found. …”
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IRFNet: Cognitive-Inspired Iterative Refinement Fusion Network for Camouflaged Object Detection by Guohan Li, Jingxin Wang, Jianming Wei, Zhengyi Xu

“…Despite recent advances, extreme object–background similarity causes existing methods struggle with accurately capturing discriminative features and effectively modeling multiscale patterns while preserving fine details. …”
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Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation by V. N. Yur’ev, D. M. Dybok

“…To analyze the sample rates and to divide regions to the clusters we’ve used a fully integrated line of analytic solutions Statistica [2], for analyzing, visualizing and forecasting. As a result of a statistical analysis and Statistica use regions were divided into clusters according to the three methods: hierarchical classification, Kaverage method and two-input distribution. …”
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Efficacy of highly selective M-cholineblocker hyoscine butylbromide at patients with chronic pancreatitis by V. B. Grinevich, Ye. I. Sas, N. N. Scherbina, F. A. Karyev

“…Besides traditional methods of investigation electrogastrointestinography, transendoscopic topical express pH-metry with positioning of potential electrodes in the esophagus, body, antral region of the stomach and duodenum were carried out. …”
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An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention by Chengbin Zeng, Liang Zhang

“…Experimental results on public benchmark datasets show that our proposed framework achieves comparable results to current mainstream image compression methods. In addition, our proposed algorithm effectively mitigates distortions in facial and textual regions while preserving the structural integrity and visual fidelity. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…While traditional methods such as visual inspection and endoscopy are used to observe tool conditions, they cannot be performed in real-time during welding operations. …”
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Evaluating the Educational Impact of Video Tutorials on Coproparasitological Diagnostic Techniques in Veterinary Parasitology: A Cross-Sectional Study by Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo

“…This study aimed to evaluate the impact of instructional videos on students’ understanding and perceptions of coproparasitological methods. (2) Methods: A cross-sectional study was conducted with 110 veterinary students who viewed instructional videos covering 11 coproparasitological techniques. …”
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Entropy-Based Ensemble of Convolutional Neural Networks for Clothes Texture Pattern Recognition by Reham Al-Majed, Muhammad Hussain

“…Moreover, images of clothes patterns may be taken in an unconstrained illumination environment. Machine learning methods proposed for this problem mostly rely on handcrafted features and traditional classification methods. …”
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Tech-Enhanced Vocabulary Acquisition: Exploring the Use of Student-Created Video Learning Materials in the Tertiary-Level EFL (English as a Foreign Language) Flipped Classroom by Jelena Bobkina, Svetlana Baluyan, Elena Dominguez Romero

“…Quantitative analysis revealed that students who created and utilized videos (Group 1) showed the highest improvement in vocabulary scores, followed by those who only used the videos (Group 2), with the control group relying on traditional teacher-led methods showing the least improvement. Qualitative feedback highlighted that video creators experienced deeper engagement and better vocabulary retention, while users appreciated the videos’ visual and auditory elements but faced challenges with vocabulary overload. …”
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THE PROBLEM OF USING GADGETS AS A MEANS OF FALSIFICATION OF RESULTS CHECK LEVEL OF STUDENTS KNOWLEDGE by Vyacheslav A. Lipatov, Dmitrij A. Severinov, Nina M. Abdel Jawad

“…The aim of the present research is studying of the range, technical characteristics, and also price categories of micro earphones, the devices intended for simplification by the pupil of examination and distorting the level of knowledge on control activities.Methods. The formalized interview is used as the main method of the research, i.e. a conversation on detailed developed program including a consistent design of seventeen closed and open questions, and also versions of possible answers.Results. …”
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Detecting significant expression patterns in single-cell and spatial transcriptomics with a flexible computational approach by Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, Zohar Yakhini

“…However, data analysis methods for single cell sequencing mostly focus on finding cell clusters or the principal progression line of the data. …”
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A Review of Embodied Grasping by Jianghao Sun, Pengjun Mao, Lingju Kong, Jun Wang

“…First, we summarize the embodied foundations, including cutting-edge embodied robots, simulation platforms, publicly available datasets, and data acquisition methods, to fully understand the research focus. Then, the embodied algorithms are introduced, starting from pre-trained models, with three main research goals: (1) embodied perception, using data captured by visual sensors to perform point cloud extraction or 3D reconstruction, combined with pre-trained models, to understand the target object and external environment and directly predict the execution of actions; (2) embodied strategy: In imitation learning, the pre-trained model is used to enhance data or as a feature extractor to enhance the generalization ability of the model. …”
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Face super-resolution via iterative collaboration between multi-attention mechanism and landmark estimation by Chang-Teng Shi, Meng-Jun Li, Zhi Yong An

“…Specifically, in the 8 $$\times $$ × super-resolution experiment, the PSNR/SSIM/LPIPS on CelebA dataset is 27.68dB/ 0.8112/0.0866, outperforming existing state-of-the-art methods in terms of both accuracy and visual quality.…”
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