Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis by Yuanzhao Wang, Nana Chen, Bangqiu Zhang, Pingping Zhuang, Bingtao Tan, Changlong Cai, Niancai He, Hao Nie, Songtao Xiang, Chiwei Chen

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An evaluation of Kd-Trees vs Bounding Volume Hierarchy (BVH) acceleration structures in modern CPU architectures by Ernesto Rivera-Alvarado, Julio Zamora-Madrigal

“…Another well-known technique is Kd-Trees that uses binary space partitioning to adaptively subdivide space with planes. In this research, we made an up-to-date evaluation of both acceleration structures, using state-of-the-art BVH and Kd-Trees algorithms implemented in C, and found out that the Kd-Trees acceleration structure provided better performance in all defined scenarios on a modern x86 CPU architecture. …”
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Metabolomics and lipidomics of plasma biomarkers for tuberculosis diagnostics using UHPLC-HRMS by Gaofeng Sun, Quan Wang, Xinjie Shan, Maierheba Kuerbanjiang, Ruiying Ma, Wensi Zhou, Lin Sun, Qifeng Li

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Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning by Daniel Paluba, Bertrand Le Saux, Francesco Sarti, Přemysl Štych

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Theoretical Model, Model Innovation, and Important Implications of DeepSeek Empowering Library Knowledge Services by ZHANG Xingwang, LI Jie, LI Sifan, WANG Xiaopei

“…This study aims to provide some reference and inspiration for the research of related issues. [Results/Conclusions] The library is currently in a critical period of development for the "15th Five-Year Plan". …”
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A novel multiscale feature enhancement network using learnable density map for red clustered pepper yield estimation by Chenming Cheng, Chenming Cheng, Jin Lei, Jin Lei, Zicui Zhu, Lijian Lu, Lijian Lu, Zhi Wang, Zhi Wang, Jiali Tao, Jiali Tao, Xinyan Qin, Xinyan Qin

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Extraction of typical oyster pile columns in the Maowei Sea, Beibu Gulf, based on unmanned aerial vehicle laser point cloud orthophotos by Jinze Du, Jinze Du, Meiqin Huang, Zhenjun Kang, Zhenjun Kang, Zhenjun Kang, Yichao Tian, Yichao Tian, Yichao Tian, Jin Tao, Jin Tao, Qiang Zhang, Qiang Zhang, Yutong Xie, Yutong Xie, Yutong Xie, Jinying Mo, Jinying Mo, LiYan Huang, LiYan Huang, Yusheng Feng, Yusheng Feng

“…This study focuses on Shajing Town, Qinzhou City, Guangxi Zhuang Autonomous Region, China, as its research area. It utilizes multi-spectral image data from unmanned aerial vehicles (UAVs), light detection and ranging (LiDAR) point cloud technology, and deep learning algorithms to extract representative oyster pile columns in Maowei Sea within Beibu Gulf. …”
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Drug discovery and mechanism prediction with explainable graph neural networks by Conghao Wang, Gaurav Asok Kumar, Jagath C. Rajapakse

“…The unprecedented development of machine learning and deep learning algorithms has expedited the drug response prediction research. …”
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A Scoping Study on Lightweight Cryptography Reviews in IoT by Ikenna Rene Chiadighikaobi, Nurliza Katuk

“…Many scholarly studies in literature report the enhancement of conventional cryptographic algorithms and the development of new algorithms. This significant number of studies resulted in the rise of many review studies on LWC in IoT. …”
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A trigonometric function-based big data model for network information security control mechanisms by Bohan Zhang, Ruoyu Tan

“…At present, traditional encryption algorithms mainly deal with information data through the use of cryptographic theory, but with the progress of the times, there are higher requirements for the security of data for transmission. …”
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Analyzing the adverse events of NK-1 receptor antagonists: a pharmacovigilance study from the FAERS database by Hong Pan, Xiang Shi, Yiguo Jiang, Jiaqiang Wu, Li Shen

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A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…This paper proposes a framework that integrates Digital Twin (DT) systems with Artificial Intelligence (AI) algorithms for intelligent building energy consumption assessment by developing real-time virtual twin representations. …”
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Different faces of the stethoscope: history, usefulness, evolution, contamination, and disinfection practices by Dorota Ochońska, Monika Brzychczy-Włoch, Katarzyna Talaga-Ćwiertnia

“…A stethoscope is a tool mainly used by physicians of various specialties in their daily work. …”
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The Influence of Network Structural Preference on Link Prediction by Yongcheng Wang, Yu Wang, Xinye Lin, Wei Wang

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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

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Scoping review to identify and map non-pharmacological, non-surgical treatments for dysphagia following moderate-to-severe acquired brain injury by Signe Janum Eskildsen, Daniela Jakobsen, Christian Gunge Riberholt, Ingrid Poulsen, Derek John Curtis

“…Dysphagia rehabilitation is transforming from mainly compensatory strategies to the retraining of swallowing function using principles from neuroscience. …”
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Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals by Behnam Javanmardi, Rebekah L. Waikel, Tinatin Tkemaladze, Shahida Moosa, Alexander Küsshauer, Jean Tori Pantel, Minu Fardipour, Peter Krawitz, Benjamin D. Solomon, Klaus Mohnike

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Machine learning approaches for grain seed quality assessment: a comparative study of maize seed samples in Malawi by Wisdom Richard Mgomezulu, Moses M. N. Chitete, Beston B. Maonga, Mthakati A. R. Phiri

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Social media use to enhance children’s diets: the case of Lebanese mothers by Carla Tenkerian, Rita Sayah

“…Using quantitative and qualitative research methodologies, this study relies on findings obtained from conducting a survey and a semi-structured one-on-one interview. …”
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Comparative analysis of the effectiveness of three immunization strategies in controlling disease outbreaks in realistic social networks. by Zhijing Xu, Zhenghu Zu, Tao Zheng, Wendou Zhang, Qing Xu, Jinjie Liu

“…The high incidence of emerging infectious diseases has highlighted the importance of effective immunization strategies, especially the stochastic algorithms based on local available network information. …”
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