Magnetoelectric nanoparticle technology for mitigating motor deficits in Parkinsonian mice by David Dominguez-Paredes, Yasin Temel, Aleksandra Milojkovic, Daniëlle Mulder-Jongen, Prachi Kumari, Mario Ries, Kristen Kozielski, Ali Jahanshahi

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Iron Deposition and Functional Connectivity Differences in Females With Migraine Without Aura: A Comparative Study of Headache Sides by Yan Zhang, Mingxian Bai, Zhenliang Xiong, Qin Zhang, Lihui Wang, Xianchun Zeng

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Integral Sliding Mode and Integral Supertwisting Sliding Mode Control for Ship Course-Keeping by Muhammad Munir Butt, Azhar Iqbal Kashif Butt, Iftikhar Ahmad

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Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers by Natenaile Asmamaw Shiferaw, Zefree Lazarus Mayaluri, Prabodh Kumar Sahoo, Ganapati Panda, Prince Jain, Adyasha Rath, Md. Shabiul Islam, Mohammad Tariqul Islam

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Feature extraction using sparse component decomposition for face classification by Hamid Reza Shahdoosti

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Dimensionality Reduction Algorithms in Machine Learning: A Theoretical and Experimental Comparison by Ashish Kumar Rastogi, Swapnesh Taterh, Billakurthi Suresh Kumar

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EEG-based characterization of auditory attention and meditation: an ERP and machine learning approach by Eyad Talal Attar

“…The integration of EEG biomarkers with machine learning methods emerges as a potential pathway for real-time cognitive and emotional state monitoring which enables tailored interventions through neurofeedback systems and brain–computer interfaces to boost cognitive function and emotional health across clinical settings and everyday life.…”
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FPGA-oriented lightweight multi-modal free-space detection network by Feiyi Fang, Junzhu Mao, Wei Yu, Jianfeng Lu

“…However, multi-modal CNNs have high data throughput and contain a large number of computationally intensive convolution calculations, limiting their feasibility for real-time applications. …”
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Design and screening of novel 1,2,4-Triazole-3-thione derivatives as DCN1 inhibitors for anticardiac fibrosis based on 3D-QSAR modeling and molecular dynamics by Wengong Bian, Yaxin Guo

“…The findings provide an effective computational platform for the design of DCN1 inhibitors and lay a solid foundation for the development of drugs targeting anticardiac fibrosis.…”
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The model for the end-stage liver disease and Child-Pugh score in predicting prognosis in patients with liver cirrhosis and esophageal variceal bleeding by Benedeto-Stojanov Daniela, Nagorni Aleksandar, Bjelaković Goran, Stojanov Dragan, Mladenović Bojan, Đenić Nebojša

“…Methods. We retrospectively evaluated the survival rate of a group of 100 cirrhotic patients of a median age of 57 years. …”
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Gender-based violence and associated factors among women in Ethiopia: a systematic review and meta-analysis by Berhanu Wale Yirdaw, Bimrew Bayuh Yimer

“…Inspection of the Funnel plot and Egger’s test were used to evaluate the evidence of publication bias. The heterogeneity of the included studies was evaluated using Cochrane Q and I2 test. …”
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In vitro assessment of the accuracy of two intra-oral scanners for post space scanning in a fully digital workflow by Mennatallah Wahba, Reham Said ElBasty

“…Accordingly, this study aimed to evaluate the accuracy (trueness and precision) of two intra-oral scanners when different post space diameters were employed. …”
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Primary Fixation Feature Design Does Not Influence Total Ankle Tibial Component Stability When Implanted with Press-Fit in High Density Bone by Joshua E. Johnson PhD, Gabriel A. Clarke MS, Cesar de Cesar Netto MD, PhD, Donald D. Anderson PhD

“…The goal of this project was to computationally evaluate1 how bone density influences implant-bone interface micromotions in three TAR tibial component designs: resurfacing, stemmed, and modular-stem. …”
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DreamOn: a data augmentation strategy to narrow the robustness gap between expert radiologists and deep learning classifiers by Luc Lerch, Luc Lerch, Lukas S. Huber, Lukas S. Huber, Amith Kamath, Alexander Pöllinger, Aurélie Pahud de Mortanges, Verena C. Obmann, Florian Dammann, Walter Senn, Walter Senn, Mauricio Reyes, Mauricio Reyes, Mauricio Reyes

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Application of Plant Growth Regulators During Early Fruit Development Stage Increased Perceived Sweetness of Mango Fruit by Li Li, Xiaowei Ma, Songbiao Wang, Chi Xu, Hongxia Wu, Yanke Wu, Yingzi He, Bin Zheng, Qingzhi Liang, Wentian Xu, Weiming Li

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Explainable Artificial Intelligence for Crowd Forecasting Using Global Ensemble Echo State Networks by Chamod Samarajeewa, Daswin De Silva, Milos Manic, Nishan Mills, Prabod Rathnayaka, Andrew Jennings

“…This approach was empirically evaluated in a multicampus, mixed-use tertiary education setting. …”
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Improved Power Transfer Efficiency Using a Dual Transmitter Receiver Design With Integrated Decoupling Coils for IPT EV Charging by Bilal Alam, Saad Mekhilef, Marizan Mubin, Kok Soon Tey, Addy Wahyudie

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In-context learning enables multimodal large language models to classify cancer pathology images by Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather

“…However, this process is computationally and technically demanding. In language processing, in-context learning provides an alternative, where models learn from within prompts, bypassing the need for parameter updates. …”
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Model for assessing the maturity level of digital transformation in higher education institutions: a theoretical-methodological approach by Jessie Bravo-Jaico, Roger Alarcón, Carlos Valdivia, Nilton Germán, Janet Aquino, Oscar Serquén, Laurita Guevara, Armando Moreno Heredia

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RSM-based optimization of recycled aggregate concrete with pozzolanic materials under high temperatures by Muhammad Saqib Khan, Aman Ulhaq, Deema Mohammed Alsekait, Muhammad Faisal Javed, Mohammed Jameel, Hisham Alabduljabbar, Diaa Salama Abdelminaam

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