Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…ObjectivePedestrian detection is a crucial task in computer vision, especially in applications like autonomous driving, robot navigation, and intelligent surveillance. …”
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Exploring shared therapeutic targets for Alzheimer’s disease and glioblastoma using network pharmacology and protein-protein interaction approach by Sushma Pradeep, Sushma Pradeep, M. R. Sai Chakith, S. R. Sindhushree, Pruthvish Reddy, Esther Sushmitha, Madhusudan N. Purohit, Divya Suresh, Nanjunda Swamy Shivananju, Ekaterina Silina, Natalia Manturova, Victor Stupin, Shiva Prasad Kollur, Chandan Shivamallu, Raghu Ram Achar

“…Pharmacokinetic and toxicity evaluations, conducted using SwissADME and pkCSM, highlighted luteolin’s favorable drug-like properties, including good bioavailability and low toxicity. …”
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THE ROLE OF MAGNETIC RESONANCE RESEARCH IN THE TREATMENT OF DYSFUNCTION OF THE TEMPOROMANDIBULAR JOINT by V.M. Novikov, M.A. Korostashova, V.I. Dodatko, O.S. Svyryda, Ya.O. Yushchenko

“… The main criterion for diagnosis of dysfunctional conditions of the temporomandibular joint is the visualization of the intra-articular cartilaginous disc. …”
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Development and Validation of an Interpretable Machine Learning Model for Prediction of the Risk of Clinically Ineffective Reperfusion in Patients Following Thrombectomy for Ischem... by Hu X, Qi D, Li S, Ye S, Chen Y, Cao W, Du M, Zheng T, Li P, Fang Y

“…Model performance was evaluated using receiver operating characteristic (ROC) curves and heatmap visualization. The SHAP method rank the feature importance and provided interpretability for the final model.Results: Among the four machine learning models, the RF model showed the best performance, with an area under the curve (AUC) of 0.96 (95% CI: 0.91– 1.0), accuracy of 0.93, and specificity of 0.97 on the test dataset. …”
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Jahn-Teller distortion-engineered self-propelled nanorobots for mitochondrial targeting and bioenergetic disruption in tumor therapy by Tianying Luo, Mingyi Zhang, Jia Xu, Dechao Yuan, Beibei Yin, Yuzhou Zhu, Shuang Yan, Meng Pan, Dong Mo, Xicheng Li, Xuyue Liang, Zhaojuan Qin, Hongxin Deng, Zhiyong Qian

“…In vivo, 3D NIR-II PA imaging enables noninvasive visualization of nanorobot biodistribution and real-time mapping of catalytic oxygen generation within tumor tissues. …”
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Percutaneous Lapidus Procedure for the Management of Primary Hallux Valgus Deformity – A Retrospective Cohort Analysis by Alasdair John Henry Barrie MBChB MSc FRCS, James Ryeburn BSc, Alastair S.E. Younger MB ChB, ChM, FRCSC, Andrea Veljkovic MD, MPH, BComm, FRCSC, Kevin Wing MD, FRCSC, Murray J. Penner MD, FRCSC, Oliver Gagne MD, FRCSC

“…When conservative treatments fail, surgical interventions like osteotomies or fusions are considered. The Lapidus procedure offers significant correction but traditionally involves open incisions. …”
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In silico study of biological activity of 2-[5-(furan-2-yl)-4-phenyl-4n-1,2,4-triazol-3-ylthio]-1-(4-chlorophenylethanone) by N. M. Borysenko, I. V. Bushuyeva, V. V. Parchenko, O. P. Shmatenko, А. М. Solomennyi, O. K. Yerenko, O. P. Kileyeva

“…Each of these characteristics has its own physicochemical range, which is visualized as a pink zone on the radar plot. For a molecule to be considered drug-like, its radar profile must be entirely within this zone. …”
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Utility of photoacoustic patterns in intra-operative margin assessment of breast cancer post neoadjuvant chemotherapy by Yonggeng Goh, Ghayathri Balasundaram, Hui Min Tan, Thomas Choudary Putti, Renzhe Bi, Mikael Hartman, Shaik Ahmad Buhari, Celene Wei Qi Ng, Su Ann Lui, Serene Si Ning Goh, Wei Qi Leong, Eric Fang, Swee Tian Quek, Malini Olivo

“…US-PA imaging was performed using the MSOT inVision 512-ECHO system, capturing chromophores like lipids, collagen, and hemoglobin up to a 5 mm depth. …”
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A bibliometric study on Sordariales fungi covering genetic diversity, ecological interactions and biotechnological applications by N.F. Wulandari, A.R. Syam, L. Alhamd, B. Gunadi, Yosmaniar , E. Widjaja, B.N. Utomo, S. Wahyuwardani, R. Widiastuti, T. Kadarini, D. Safar

“…The kingdom fungi, with its vast diversity and applications, is crucial in maintaining ecosystem balance and supporting industries like food production and environmental protection. …”
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Network and systems biology approaches help investigate gene regulatory interactions between Salmonella disease and host in chickens: Model‐based in silico evidence combined with g... by Reza Tohidi, Hoda Javaheri Bargourooshi, Arash Javanmard

“…Natural resistance‐associated macrophage protein 1 (NRAMP1), Toll‐like receptor 4 (TLR4), interferon‐γ (IFNγ), immunoglobulin Y (IgY) and interleukin 8 (IL8) were among the five genes whose expression levels in liver, spleen, and cecum were evaluated at 1107 SE after 48 h of inoculation. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…Six machine learning models-Multilayer Perceptron (MLP), Cascade Forward Neural Network (CFNN), Layer Recurrent Neural Network (LRNN), Transformer-like Network (TRF), Decision Tree (DT), and Support Vector Regression (SVR)–were evaluated in the first stage of the study. …”
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"Declaration of Immortality" – Inspirations Derived from Creative Documentaries by Wojciech Wiszniewski by Urszula Tes

“…Th e main character in the fi lm, Piotr Korc zak, reminds of the monument-like heroes from Wiszniewski’s fi lms, like protagonist from Wanda Gościmińska. …”
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The Greenhouse Effect: Using Student-Generated Agricultural Data to Warm Up Students for Data-Based Decision Making by Shonda Kuiper, Abhishek Chakraborty, Tyler George, Lisa W. Kay, Lawrence M. Lesser, Ginger Rowell, Dennis Pearl, Scott Crawford, Anna Olsen

“…While student and instructor responses indicated they liked the activity in both formats, the PreTest and PostTest results showed evidence of a higher gain in knowledge with the website version. …”
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Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

“…A desirable outcome of this monitoring is identifying when the device will likely require maintenance. In this study, we present the use of Ordinal Patterns, a symbolic transformation of time series, which allows for the visual assessment of the type of operation. …”
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MOLYNEUX'S QUESTION AS ONE OF THE PROBLEMS OF THEORY OF PERCEPTION by A. I. Ponomarev

“…Reid, like Locke and Berkeley, gives a negative answer because he thinks that through experience we become aware not only of visual and tactile properties of things but also about relation of different properties. …”
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Separate brainstem circuits for fast steering and slow exploratory turns by Lulu Xu, Bing Zhu, Zhiqiang Zhu, Xingyu Tao, Tianrui Zhang, Abdeljabbar El Manira, Jianren Song

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A companion to the preclinical common data elements for phenotyping seizures and epilepsy in rodent models. A report of the TASK3‐WG1C: Phenotyping working group of the ILAE/AES jo... by Melissa Barker‐Haliski, Julika Pitsch, Aristea S. Galanopoulou, Rüdiger Köhling

“…These phenotyping CDEs and accompanying CRF can be used in parallel with video‐electroencephalography (EEG) studies or as a first visual screen to determine whether a model manifests seizure‐like behaviors before utilizing more specialized diagnostic tests, like video‐EEG. …”
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Atypical carpal tunnel syndrome: A case of first lumbrical anomaly by Mary Rose Gonzales, Keiichi Muramatsu, Daniela Kristina Carolino, Masaya Ueda

“…Introduction: Carpal tunnel syndrome (CTS) is the most common compressive neuropathy encountered in orthopedics and is likely caused by thickening of the transverse carpal ligament (TCL). …”
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ENHANCING EXPLAINABILITY IN DEEPFAKE DETECTION WITH GRAPH ATTENTION NETWORKS by Aleksandr S. Pikul, Ilya Yu. Popov

“…Many current methods, like Shapley additive explanations (SHAP) and Gradient-weighted Class Activation Mapping (Grad-CAM), help explain these decisions, but they often aren't detailed enough for tasks involving complex data like human faces. …”
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A Systematic Review of CNN Architectures, Databases, Performance Metrics, and Applications in Face Recognition by Andisani Nemavhola, Colin Chibaya, Serestina Viriri

“…The study also examines CNN architectures, including FaceNet and Visual Geometry Group 16 (VGG16), which show strong performance on large datasets like Labeled Faces in the Wild (LFW) and VGGFace, achieving accuracy rates above 98%. …”
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