Prognostic Significance of the Comprehensive Biomarker Analysis in Colorectal Cancer by Vera Potievskaya, Elizaveta Tyukanova, Marina Sekacheva, Zaki Fashafsha, Anastasia Fatyanova, Mikhail Potievskiy, Elena Kononova, Anna Kholstinina, Ekatherina Polishchuk, Peter Shegai, Andrey Kaprin

“…The development of new non-invasive diagnostic methods based on biomaterial analysis, alongside standard diagnostic techniques such as colonoscopy with biopsy, computed tomography scanning, and magnetic resonance imaging, can address multiple objectives: improving screening accuracy, providing a comprehensive assessment of minimal residual disease, identifying patients at a high risk of colorectal cancer, and evaluating the effectiveness of ongoing treatments. …”
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BONE TURNOVER MARKERS IN MALE PATIENTS WITH CORONARY ARTERY DISEASE by Anna V. Voronkina, Tatiana A. Raskina, Elena B. Malyuta, Marina V. Letaeva, Oksana N. Hryachkova, Alexandr N. Kokov, Olga L. Barbarash

“…Coronary artery calcification was evaluated by Agatston score. Results: We found a significant increase in serum levels of BAP and cathepsin K in patients with CAD compared to the healthy controls, indicating a high rate of bone metabolism. …”
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Conductometric Studies of Thermodynamics of 1,10-Didecyl-1,10-diaza-18-crown-6 Complexes with , , , , , , and Ions in Acetonitrile, Methanol, and Ethanol Solutions by Mehdi Taghdiri, Mahmood Payehghadr, Reza Behjatmanesh-Ardakani, Sirous Movahhedi, Farzaneh Nourifard

“…The enthalpy and entropy changes of the complexation reactions were evaluated from the temperature dependence of formation constants. …”
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Practices and Considerations in Wind Data Processing for Accurate and Efficient Wind Farm Energy Calculation by Angel Gaspar Gonzalez-Rodriguez, Jose Manuel Riega-Medina, Ildefonso Ruano-Ruano, Jose Vicente Muñoz-Diez

“…Then, the error introduced by wind speed discretization is evaluated showing that the traditional binning of 1 m/s is not always the best choice. …”
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Hydatid Cyst of Thyroid Gland: A Case Report by Prashant Ghimire, Sagar Rana Magar, Bishal Panthi, Prem Bahadur Maharjan, Intjar Khan, Neeraj Thapa, Sujan Paudel, Siddhartha Karn, Prajjwol Luitel

“…Further tests confirmed positive serology for Echinococcus, and computed tomography (CT) scan showed no such cysts in other organs. …”
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Expert consensus on a multidisciplinary approach for the management of multiple myeloma-related bone disease by Yutong Wang, Qiming Xu, Yuan Li, Yongbin Su, Ling Wang, Xiaoquan Wang, Jian Ge, Hongmei Jing, Yuxing Guo, Yalin Chen, Xianan Li, Jun-ling Zhuang, Jing Tan, Xiaobo Wang, Liye Zhong, Jun Luo, Peng Zhao, Shengjin Fan, Jinhai Ren, Haiping Yang, Heng Mei, Chunyan Sun, Chunrui Li, Xuemei Sun, Xuechun Lu, Guangxun Gao, Zeping Zhou, Yaozhu Pan, Ying Sun, Zhang Hong, Zhiqiang Liu, Yanping Ma, Yi Wang, Wei Sun, Jian Hou, Jianqing Mi, Wenming Chen, Xiaobing Huang, Bingzong Li, Rong Fu, Jumei Shi, Xuehong Ran, Fuling Zhou, Aili He, Min Mao, Zhen Cai, Nan Li, Meng Xu, Xiaojing Yan, Wei Yang, Gang An, Lihua Gong, Lichao Sun, Zhihong Li, Tang Liu, Yanjuan He, Junqiang Yin, Yao Liu, Weifeng Liu, Li Bao

“…Supportive care measures, including pain management, rehabilitation, nutritional support, and dental evaluations, play a crucial role in enhancing patient outcomes and preserving quality of life. …”
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Monitoring osseointegration and degradation of Mg-alloy implants through plasma biomarkers of inflammation and bone regeneration by Eduarda Mota-Silva, Diana C. Martinez, Giuseppina Basta, Serena Babboni, Serena del Turco, Davide Fragnito, Stefano Salvadori, Claudia Kusmic, Leon Riehakainen, Daniele Panetta, Beatrice Campanella, Massimo Onor, Tomasz Plocinski, Wojciech Swieszkowski, Luca Menichetti

“…Mg-alloy, Ti-alloy, and Sham (noncritical bone defect) groups were followed with computed tomography, histological, and SEM-EDX analysis. …”
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LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis by Rafael Muñoz-Salinas, Jianheng Liu, Francisco J. Romero-Ramirez, Manuel J. Marín-Jiménez, Fu Zhang

“…By detecting and matching keypoints between these synthetic images and the live camera feed, we establish reliable 3D–2D correspondences for accurate pose estimation. We evaluate two distinct strategies: an Online Rendering and Tracking method that renders views on the fly, and an Offline Keypoint-Map Tracking method that precomputes a keypoint map for known trajectories, optimizing for computational efficiency. …”
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Ensuring uniform brightness of the afterglow surface of the hardened cement paste with photoluminescent pigment by Suleymanova Lyudmila, Maslennikova Alina, Kravchenko Darya, Martyushev Nikita, Vatin Nikolai Ivanovich, Karlina Antonina

“…Utilizing a method of computer image analysis, the study scrutinized samples with diverse compositions containing varying proportions of photoluminescent pigments. …”
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Multimodality Imaging in the Assessment of Thoraco-Omphalopagus Conjoined Twin: Lessons to Learn by Kanaga Kumari Chelliah, M. Z. Faizah, A. A. Dayang, A. A. Bilkis, I. Shareena, M. Mazli

“…An echocardiogram showed four heart chambers with atrioventricular septal defect. To further evaluate the heart chambers, the twin was planned for gated cardiac magnetic resonance imaging. …”
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MODELLING OF CRACK PROPAGATION: COMPARISON OF DISCRETE LATTICE SYSTEM AND COHESIVE ZONE MODEL by Karel Mikeš, Franz Bormann, Ondřej Rokoš, Ron H.J. Peerlings

“…Due to the excessive number of discrete interactions, however, such models are often computationally expensive or even intractable for realistic problem dimensions. …”
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Hypoglycemic effects and chemical changes of mulberry fruits of different ripeness: In vitro and silico studies by Yong Yu, Yu Di, Qingzhu Nie, Xiaolong Chen, Aiyuan Wang, Kaiming Ren

“…This study aimed to evaluate the in vitro hypoglycemic effects of MF at various maturation stages and to identify potentially active hypoglycemic compounds. …”
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A Preliminary Experimental and Numerical Analysis of a Novel Solar Dryer by Pio Francesco Muciaccia, Alessandra Nigro, Alessia Aquilanti, Sebastiano Tomassetti, Matteo Muccioli, Giovanni Di Nicola

“…Finally, a Computational Fluid Dynamics (CFD) model was developed to predict the performance of the proposed solar dryer. …”
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Optimization Design of Lazy-Wave Dynamic Cable Configuration Based on Machine Learning by Xudong Zhao, Qingfen Ma, Jingru Li, Zhongye Wu, Hui Lu, Yang Xiong

“…Three optimization algorithms—Particle Swarm Optimization (PSO), Ivy Optimization (IVY), and Tornado Optimization (TOC)—were evaluated for their effectiveness in optimizing the arrangement of buoyancy and weight blocks. …”
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Interval Forecasting Using GEV Regression With Stochastic Search Variable Selection: A Simulation Study and Its Application to Forecast Imported Meat Price Range by Dedy Dwi Prastyo, Ike Yuniarti, Setiawan, Santi Puteri Rahayu

“…Numerous covariates, including lags of response variables, increase computational complexity and multicollinearity issues, requiring variable selection to identify the most impactful covariates. …”
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The Impact of Rain on Image Quality From Sensors on Connected and Autonomous Vehicles by Tim Brophy, Darragh Mullins, Robert Cormican, Enda Ward, Martin Glavin, Edward Jones, Brian Deegan

“…In addition, overall image quality was evaluated using a range of full-reference image quality metrics. …”
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A complex clinical case of intracardiac leiomyomatosis by Yuanzhi Li, Yidan Li, Min Liang, Lanlan Sun, Weiwei Zhu, Liqun Wei, Xueyan Ding, Dichen Guo, Xiuzhang Lv

“…CT and MRI are essential in identifying the location and extent of the tumor, as well as in evaluating prognosis.…”
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Lightweight deep learning method for end-to-end point cloud registration by Linjun Jiang, Yue Liu, Zhiyuan Dong, Yinghao Li, Yusong Lin

“…Point cloud registration, a fundamental task in computer science and artificial intelligence, involves rigidly transforming point clouds from different perspectives into a common coordinate system. …”
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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

“…This dataset offers a robust foundation for research on the evolution of public discourse surrounding AI, including sentiment analysis, topic modeling, social engagement dynamics, and policy-relevant evaluations. It is openly available through established repositories and adheres to the FAIR principles, facilitating transparency, reproducibility, and interdisciplinary applications in computational social science, natural language processing, and AI governance research.…”
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Deep Learning-Based Response-to-Name Detection: Empirical Study on Early Screening of Autism Spectrum Disorder in Children by Ji Wang, Zhaoqing Liu, Yujie Liu, Lin Li, Lingyu Shao, Xiao Zhang, Shuyan Li, Boming Song

“…Early screening and intervention for children with autism spectrum disorder (ASD) is crucial for their long-term outcomes and quality of life, and response-to-name (RTN) tests have shown promise in aiding early detection. Leveraging computer vision (CV) and deep learning techniques, this study explores an automatic recognition algorithm for RTN tests based on Residual Network 18 (ResNet18) and Bidirectional Long Short-Term Memory (Bi-LSTM) for enhanced early screening of ASD in children. …”
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