Design and Improvement of Routing Protocol for Field Observation Instrument Networking Based on LEACH Protocol by Jiuyuan Huo, Xingyue Deng, Hamzah Murad Mohammed Al-Neshmi

“…The results showed that the improved algorithm FOI-LEACH balances the network energy consumption and alleviates the “hot spot” problem, to extend the lifetime of network nodes.…”
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Orthopairian fuzzy similarity based on below, above and centre fuzzy sets with applications to pattern recognition and identification of best ISP by Zahid Hussain, Yasmeen Bano, Sahar Abbas, Rashid Hussain, Muhammad Alam

“…Finally, we construct an algorithm for Orthopairian Portuguese interactive and multicriteria decision making (O-TODIM) based on our proposed similarity measure between q-ROFSs, to handle complex multicriteria decision making problems related to daily life. …”
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Disruption of tumor-intrinsic PGAM5 increases anti-PD-1 efficacy through the CCL2 signaling pathway by Yan Li, Hong Wang, Xiaoyang Li, Yuan He, Huiquan Liu, Dong Han, Ting Mei, Yixuan Li, Zilong Xu, Xiaoying Wei, Jianguo Wang, Peijie Zhou, Yuwen Wang, Ziye Li, Junhao Ning, Anlin Wang, Jingjing Cheng, Dong Qian

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Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study by Wivica Kauppi, Henrik Imberg, Johan Herlitz, Oskar Molin, Christer Axelsson, Carl Magnusson

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Differential Diagnostic Indicators for the Appointment of Non-Steroidal Anti-Inflammatory Therapy in the Treatment of Red Eye Syndrome at the Stage of Primary Outpatient Admission.... by V. N. Trubilin, E. G. Poluninа, A. A. Kozhukhov, V. V. Kurenkov, N. V. Moreva, A. V. Trubilin, K. V. Chinenova

“…The above algorithm will be presented in the second part of this article.…”
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Association between Alzheimer's disease pathologic products and age and a pathologic product-based diagnostic model for Alzheimer's disease by Weizhe Zhen, Yu Wang, Hongjun Zhen, Weihe Zhang, Wen Shao, Yu Sun, Yanan Qiao, Shuhong Jia, Zhi Zhou, Yuye Wang, Leian Chen, Jiali Zhang, Dantao Peng, Dantao Peng

“…BackgroundAlzheimer's disease (AD) has a major negative impact on people's quality of life, life, and health. More research is needed to determine the relationship between age and the pathologic products associated with AD. …”
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Early Detection of Slight Bruises in Yellow Peaches (<i>Amygdalus persica</i>) Using Multispectral Structured-Illumination Reflectance Imaging and an Improved Ostu Method by Jian Wu, Chenlin Liu, Aiguo Ouyang, Bin Li, Nan Chen, Jing Wang, Yande Liu

“…The ratio image (RT) between the AC image and the DC image significantly enhances bruise features. An improved Otsu algorithm is proposed to improve the robustness and accuracy of the Otsu algorithm against dark spot noise in AC and RT images. …”
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Methods and approaches of determining the boundaries of agglomerations (basic case Kharkiv region) by Kateryna Kravchenko, Kostiantyn Niemets, Kateryna Sehida, Lyudmyla Niemets, Olha Suptelo

“…The proposed algorithm was tested on the materials of Kharkiv region. …”
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Sustainability index for eco-friendly cattle farming in dry climate regions by T. Simamora, M.N. Rofiq, L. Hutahaean, S. Sio, R. Hutapea, D. Irawan, Suryani ., R. Diastuti, U.N. Thiyas, B.A. Correia, L.T. Correia

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Transformer-Driven Affective State Recognition from Wearable Physiological Data in Everyday Contexts by Fang Li, Dan Zhang

“…The rapid advancement in wearable physiological measurement technology in recent years has brought affective computing closer to everyday life scenarios. Recognizing affective states in daily contexts holds significant potential for applications in human–computer interaction and psychiatry. …”
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Young scientists of the Russian Federation – participants of the all-russian forum of young inventors by M. V. Osipova, V. V. Timofeev

“…In the article, the authors consider the issues of participation of young scientists in the events of the Festival of the All-Russian Society of Inventors and Innovators (hereinafter - VOIR) "Science and Inventions for Life", which took place in 2023 in various regions of the Russian Federation. …”
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A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…We create a dataset that emulates real-life scenarios of diverse operating conditions with distributed generation. …”
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Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks. by Johannes Stegmaier, Jens C Otte, Andrei Kobitski, Andreas Bartschat, Ariel Garcia, G Ulrich Nienhaus, Uwe Strähle, Ralf Mikut

“…Automated analysis of multi-dimensional microscopy images has become an integral part of modern research in life science. Most available algorithms that provide sufficient segmentation quality, however, are infeasible for a large amount of data due to their high complexity. …”
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Parkinson’s Disease Detection Based on Transfer Learning by Mohammad Talal Ghazal

“…It is a neurological disease whose symptoms develop slowly, so the process of its diagnosis is very important in order to preserve the patient's life. One of the most important symptoms is muscle stiffness as well as slow movement. …”
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Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning by Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha

“…This study aims to early detect anomalies that occur in the boiler and to predict the remaining useful life (RUL) after anomalies are detected. The proposed method utilizes machine learning techniques through support vector machine (SVM) and random forest algorithm (RFA) for anomaly detection and similarity-based method of dynamic time warping (DTW) for RUL prediction. …”
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Inference for Dependent Competing Risks with Partially Observed Causes from Bivariate Inverted Exponentiated Pareto Distribution Under Generalized Progressive Hybrid Censoring by Rani Kumari, Yogesh Mani Tripathi, Rajesh Kumar Sinha, Liang Wang

“…Moreover, a real-life example is also presented to illustrate the practical applications of our inferential procedures.…”
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Numerical Simulation of Flooding Process on Downstream Structure by Three-dimensional Dam-break Wave by YU Ruixing, LIN Qin, HE Shiming, ZHENG Yipeng, ZHENG Kaiyuan

“…The accelerated computing is achieved by the parallel algorithm, the free surface is captured by the volume of fluid method, and the fluid-structure interaction is dealt with by the immersed boundary method. …”
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Mobile Robot Obstacle Avoidance Based on Neural Network with a Standardization Technique by Karoline Kamil A. Farag, Hussein Hamdy Shehata, Hesham M. El-Batsh

“…Reactive algorithm in an unknown environment is very useful to deal with dynamic obstacles that may change unexpectantly and quickly because the workspace is dynamic in real-life applications, and this work is focusing on the dynamic and unknown environment by online updating data in each step toward a specific goal; sensing and avoiding the obstacles coming across its way toward the target by training to take the corrective action for every possible offset is one of the most challenging problems in the field of robotics. …”
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Adequate managment of patients with dystrophinopathies (muscular dystrophy Duchenne/Becker): objective scales and additional diagnostic methods by A. S. Nosko, A. L. Kurenkov, S. S. Nikitin, V. P. Zykov

“…It leads to decrease of quality of life and, what is more important, lifespan of patients. …”
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Modelling fatigue induced change in hyperelastic response of SBR/NR blends by Adtihya Nambiar, P. Mythravaruni

“…Finally, a relation for model parameters as a function of life factor is obtained.…”
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