Radiation diagnostics of the state of ventilation and pulmonary circulation in patients with COPD by O. S. Sementsov, S. V. Stepanenko

“…Also a promising area is the use of functional CT (inspiratory-expiratory CT) - which should improve the assessment of respiratory function, including early detection of patients with COPD, which will promote the in time start of specific treatment, reduce episodes of exacerbations during the disease, assess the dynamics of the pathological process and the effectiveness of treatment, as well as improving the prognosis of work and life expectancy of patients. …”
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The burden of intracerebral hemorrhage attributable to ambient particulate matter pollution in five Asian countries: a 32-year comparative analysis by Rui Yang, Xingke Wang, Panpan Hao

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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…Thanks to its invariance in space and time, a generalized gamma function is used to model the normalized distribution, and its parameters have been determined through a fit over approximately 70 % of the events. …”
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Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

“…These evolving strategies underscore the growing potential of ML to improve the detection of early OA, individualized risk stratification, and personalized interventions in OA clinical care.…”
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Intra action review of the cholera outbreak response in Kadoma city, Zimbabwe, 2024 by Clayton Munemo, Chido Zibanayi, Hamilton Gomba, Precious Banda, Sarah Tengawarima, Sikhanyisiwe Moyo, Daniel Chirundu

“…The working groups covered eight response pillars aligned to the five core functions of the Incident Management System (IMS). …”
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LeafDPN: An Improved DPN Model for the Identification of Bacterial Blight in Soybean in Natural Environments by Rui Cong, Ying Xu, Hao Su, Jiaying Zhou, Yuxi Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu, Shuang Song

“…<i>glycinea</i>, is one of the most devastating diseases in soybean with significant yield losses ranging from 4% to 40%. The timely detection of BBS is the foundation for disease control. …”
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Assessing chronic obstructive pulmonary disease risk based on exhalation and cough sounds by Geyi Wen, Chenshuo Wang, Wei Zhao, Jinliang Meng, Yanyan Xu, Ruiqi Wang, Zijing Zeng

“…Following this, each individual completed pulmonary function tests and participated in questionnaire surveys. …”
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Leveraging Blockchain Technology With Enhanced MDSVA for Robust Meteorological Sensor Data Validation by Md Abdullah Al Mamun, Mei Li, Bijon Kumar Pramanik, Faisal Hussain, A. Z. M. Shakilur Rahman

“…Our enhanced MDSVA introduces a sophisticated five-component validation function that simultaneously addresses drift and noise compensation, environmental adaptation, periodic variations, dynamic thresholds, and transient adjustments. …”
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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol by Mohammad A. Al Khaldy, Ahmad Nabot, Ahmad al-Qerem, Issam Jebreen, Abdulbasit A. Darem, Asma A. Alhashmi, Mohammad Alauthman, Amjad Aldweesh

“…The RL-based mechanism continuously adapts decision-making by learning from system states, prioritizing transactions, and dynamically resolving conflicts using a reward function that accounts for key performance parameters, including the number of conflicting transactions, cost of aborting transactions, temporal validity constraints, and system resource utilization. …”
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An Efficient In Vitro Regeneration Protocol and the Feature of Root Induction with Phloroglucinol in <i>Paeonia ostii</i> by Keyuan Zheng, Luming Yao, Yumei Xie, Shuiyan Yu, Yonghong Hu, Mulan Zhu

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Near-infrared spectroscopy of the cerebellum in motor activation tasks by Yew Long Lo, Gerald Teck Heng Chia, Yan Teng Celeste Chen, Eng King Tan

“…Protocol 1 consisted of 5 optodes (4 sources and 1 detector, 4 recording channels) spaced 3 cm apart and comprising single-tipped LED light sources in conjunction with single-tipped fiber-optic detectors. …”
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New Rotation Periods from the Kepler Bonus Background Light Curves by Zachary R. Claytor, Jamie Tayar

“…However, due to Kepler’s large 4″ pixels, many of its light curves are at high risk of contamination from background sources. The new Kepler Bonus Background light curves are deblended using a point-spread function algorithm, providing light curves of over 400,000 new background sources in addition to over 200,000 reanalyzed Kepler prime targets. …”
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Integrated assessment of soil quality and contaminant risks in salinized farmland adjacent to an oil-exploitation zone: insights from the Yellow River Delta by Xiaofan Xie, Jijin Cai, Xiaosong Yang, Hui Qiu, Yuexian Liu, Yuanxun Zhang

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Evaluating LiDAR‐Derived Structural Metrics for Predicting Bee Assemblages in Managed Forests by Marissa H. Chase, Alexandra Harmon‐Threatt, Samuel F. Stickley, Brian Charles, Jennifer M. Fraterrigo

“…We investigated whether structural metrics derived from light detection and ranging (LiDAR) data could predict bee diversity and abundance, as well as bee functional trait composition within managed and unmanaged forests in the central hardwood region in southern Illinois, United States of America. …”
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Effect of PM2.5 exposure on susceptibility to allergic asthma in elderly rats treated with allergens by Lianlian Zhao, Xiaolin Ding, Li Zhou, Chenchen Song, Taisheng Kang, Yanfeng Xu, Yunpeng Liu, Yunlin Han, Wenjie Zhao, Boxiang Zhang, Dan Xu, Jianguo Guo

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Assessing the impact of a rare synonymous variant in the <i>KNG1</i> gene on the development of hereditary angioedema by N. A. Pechnikova, Yu. V. Ostankova, M. A. Saitgalina, A. M. Bebyakov, A. A. Totolian

“…The material was a whole blood sample obtained from a woman with clinical manifestations of hereditary angioedema without a decrease in the levels and function of the C1 inhibitor. The research methods included whole exome sequencing, bioinformatic analysis of the KNG1 gene mutation using a number of databases and web resources. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

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Advances in Wearable Biosensors for Wound Healing and Infection Monitoring by Dang-Khoa Vo, Kieu The Loan Trinh

“…Wound healing is a complicated biological process that is important for restoring tissue integrity and function after injury. Infection, usually due to bacterial colonization, significantly complicates this process by hindering the course of healing and enhancing the chances of systemic complications. …”
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