Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

“…By analyzing crowd density, flow patterns, and bottleneck situations, the simulator enables users to identify potential hazards, evaluate evacuation strategies, and develop proactive crowd management measures. …”
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The New Paradigm of Deepfake Detection at the Text Level by Cosmina-Mihaela Rosca, Adrian Stancu, Emilian Marian Iovanovici

“…These features are used to develop a custom-made written-style machine learning model named the custom deepfake text model. …”
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EMOTIVE SPEECH ACTS IN CROSS-CULTURAL COMMUNICATION: A COMPREHENSIVE ANALYSIS AND EXPERIMENTAL STUDY by Kenul E. Abdurehmanova

“…Through comprehensive analysis of acoustic features, facial expressions, and lexical patterns, the research demonstrates that emotional expression follows dual patterns: universal elements remain consistent across languages while others undergo significant cultural adaptation. …”
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Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research by Jaehyuk Lee, Kimyung Kim, Youngchae Cho, Hyeongdong Kim

“…Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“… The climacteric has some unique features, especially related to body function, where women experience changes of several orders in this period of life, then, it is important to study the quality of life of nursing professionals. …”
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Design system for normalization by Using Normal Forms by Elham hassan Aziz

“… Electronic learning is the use of modern technology of different  types for information delivery in order to reduce both time and effort for maintaining a wide range of benefit through many patterns or programs like simulation which help the learner to facilitate his opportunities for  learning and ensuring  leaner a attention and follow up . …”
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Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles by Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra

“…This technology exploits hydrodynamic instabilities at the free surface of a fluid layer, thus enabling the fabrication of centimeter‐scale robots featuring diverse structural properties. These features show a wide range of deformation modes in response to magnetic fields, including folding, bending, and expanding. …”
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Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditar... by Alfonso de Gorostegui, Massimiliano Zanin, Juan-Andrés Martín-Gonzalo, Javier López-López, David Gómez-Andrés, Damien Kiernan, Estrella Rausell

“…Existing methods often isolate the analysis of gait variables, overlooking the whole complexity of biomechanical patterns and variations in motor control strategies. …”
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Emily Brontë’s Wuthering Heights in EFL Classroom: Writing Skills Focus by Rukaiya Akter Mukta, Md. Shahjahan Kabir, Farhana Yeasmin

“…This is because a literary text encompasses various features related to language and linguistics. The exploration and utilization of these features in a language classroom can significantly advance students’ language skills, as literature leaves a lasting impact on their minds. …”
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Laser‐Induced Structuring of Biocompatible Polymers for the Controlled Orientation of Multinucleated Myotubes by Clarissa Murru, Lucas Duvert, Daniel Ferry, Ahmed Al‐Kattan, Frederique Magdinier, Anne‐Patricia Alloncle, Stefano Testa, Adrien Casanova

“…These findings emphasize the potential of laser‐patterned polymer surfaces to guide muscle cell orientation and differentiation, providing a promising approach for developing functional surfaces in skeletal muscle tissue engineering.…”
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Understanding the Impact of Street Environments on Traffic Crash Risk from the Perspective of Aging People: An Interpretable Machine Learning Approach by Ketong Shen, Jian Liu, Xintao Liu

“…Moreover, the contribution of street features differs significantly between age groups, not only in overall trends but also in the spatial patterns of their impact. …”
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Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

“…This system leverages state-of-the-art computer vision techniques with spatial analysis characteristics to analyze wildlife bird behavior through optical cameras and extract features for each bird. Coupled with data derived from thermal imagery as a crucial factor, it can perform a comprehensive risk assessment by correlating thermal patterns with behavioral insights, utilizing the Analytic Hierarchy Process (AHP) method. …”
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Assessment of Digital Activity of the Population in the Context of the Theory of Generations by M. V. Bikeeva

“…Each generation has its own patterns of behavior. Comparative characteristics of the features of the use of the digital environment led to the conclusion that for all generations the priority goals of using the Internet are communications and personal interaction. …”
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Locomotion Joint Angle and Moment Estimation With Soft Wearable Sensors for Personalized Exosuit Control by Luying Feng, Lianghong Gui, Wenzhu Xu, Xiang Wang, Canjun Yang, Yaochu Jin, Wei Yang

“…To improve the model’s accuracy and generalization, gait data from eight participants with varying walking patterns were collected. Calibrated data were used as static features and trained alongside dynamic features. …”
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Simultaneous double primary malignant tumors of MSS/pMMR ascending colon cancer and MSI-H/dMMR duodenal cancer with nearly 2 years of recurrence-free survival after MDT-guided comp... by Weimin Wang, Quan Yang, Yifan He, Xuefeng Cha, Chaoxian Xiong, Xiaoxia Li, Jie Li, Pin Gao, Kun Yu

“…The exceedingly rare clinical presentation of synchronous ascending colon carcinoma with duodenal adenocarcinoma demonstrating discordant mismatch repair protein expression patterns forms the cornerstone of this investigation. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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Biology and Ecology of <i>Lygus pratensis</i> (Linn, 1758) (Heteroptera: Miridae): Towards the Practical Management of Cropping Landscapes in China by Pengfei Li, Changqing Gou, Hongzu Feng

“…This paper primarily reviews multiple aspects, including its life history and habits, host plants, pheromones, diapause characteristics, migratory dispersal, the relationship between <i>L. pratensis</i> occurrences and environmental factors, chemical control and resistance, sampling surveys and prevention indicators, ecological control, molecular genetic control, and the ecological effects of farmland landscape patterns on <i>L. pratensis</i>. We focus on the outlook for the conservation effectiveness of farmland landscape patterns on the diversity of natural enemies and the developmental direction of the ecological regulation of <i>L. pratensis</i>. …”
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Myo‐Guide: A Machine Learning‐Based Web Application for Neuromuscular Disease Diagnosis With MRI by Jose Verdu‐Diaz, Carla Bolano‐Díaz, Alejandro Gonzalez‐Chamorro, Sam Fitzsimmons, Jodi Warman‐Chardon, Goknur Selen Kocak, Debora Mucida‐Alvim, Ian C. Smith, John Vissing, Nanna Scharff Poulsen, Sushan Luo, Cristina Domínguez‐González, Laura Bermejo‐Guerrero, David Gomez‐Andres, Javier Sotoca, Anna Pichiecchio, Silvia Nicolosi, Mauro Monforte, Claudia Brogna, Eugenio Mercuri, Jorge Alfredo Bevilacqua, Jorge Díaz‐Jara, Benjamín Pizarro‐Galleguillos, Peter Krkoska, Jorge Alonso‐Pérez, Montse Olivé, Erik H. Niks, Hermien E. Kan, James Lilleker, Mark Roberts, Bianca Buchignani, Jinhong Shin, Florence Esselin, Emmanuelle Le Bars, Anne Marie Childs, Edoardo Malfatti, Anna Sarkozy, Luke Perry, Sniya Sudhakar, Edmar Zanoteli, Filipe Tupinamba Di Pace, Emma Matthews, Shahram Attarian, David Bendahan, Matteo Garibaldi, Laura Fionda, Alicia Alonso‐Jiménez, Robert Carlier, Ali Asghar Okhovat, Shahriar Nafissi, Atchayaram Nalini, Seena Vengalil, Kieren Hollingsworth, Chiara Marini‐Bettolo, Volker Straub, Giorgio Tasca, Jaume Bacardit, Jordi Díaz‐Manera, the Myo‐Guide Consortium

“…This study presents a novel multi‐study harmonization pipeline for muscle MRI and an AI‐driven diagnostic tool to assist clinicians in identifying disease‐specific muscle involvement patterns. Methods We developed a preprocessing pipeline to standardize MRI fat content across datasets, minimizing source bias. …”
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Comprehensive multi-omics analysis of histone acetylation modulators identifies ASH1L as a novel aggressive marker for osteosarcoma by Chenlie Ni, Qiwen Sun, Haibo Yin

“…Results Two distinct histone acetylation modification patterns were identified, showing significant differences in survival, clinical features, and immune landscape. …”
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Integration of chromosome conformation and gene expression networks reveals regulatory mechanisms in triple negative breast cancer by Helena Reyes-Gopar, Helena Reyes-Gopar, Helena Reyes-Gopar, Keila Adonai Pérez-Fuentes, Matthew L. Bendall, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…This model addresses limitations in Hi-C data analysis without relying on predefined features like TADs and compartments. We applied this model to Hi-C and RNA-seq data from TNBC patients, representing the data as multilayer networks to identify genome-wide properties of the TNBC 3D genome.ResultsOur network-based analysis revealed distinct chromatin interaction patterns in TNBC compared to healthy contralateral controls. …”
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