Implementation of Method of Minimizing the Side Lobe Level of Autocorrelation Functions of Signals With Nonlinear Frequency Modulation by O. O. Kostyria, A. A. Hryzo, I. A. Khizhnyak, A. V. Fedorov, A. A. Lukianchykov

“… An important problem that is solved during the creation of new and modernization of existing radar equipment is to ensure the maximum range of detection of air targets, which requires increasing the radiated power while maintaining the required range resolution. …”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…A flood optimization algorithm (FLA) is used to establish a hyperparameter collaborative optimization framework. …”
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Low Complexity Optimized AOR Method for Massive MIMO Signal Detection by Muhammad Nauman Irshad, Muhamamd Muzamil Aslam, Rardchawadee Silapunt

“…Our proposed method improves signal detection accuracy while decreasing computational complexity from <inline-formula> <tex-math notation="LaTeX">$O(K^{3})$ </tex-math></inline-formula> to <inline-formula> <tex-math notation="LaTeX">$O(K^{2})$ </tex-math></inline-formula>. …”
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Evaluation of Peroxide Value and Free Fatty Acid Content in Coconut Oil and Palm Oil under Different Heating Temperature Treatments using Reflectance–Fluorescence-based computer vi... by Luluk Oktaviana, Wahyunanto Agung Nugroho, Dimas Firmanda Al Riza Al Riza

“…The CNN model was able to classify coconut oil quality with accuracies of 57.07% and 57.41%, while for palm oil, the model achieved accuracies of 85.77% and 94.22%. …”
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Optimized Two-Stage Anomaly Detection and Recovery in Smart Grid Data Using Enhanced DeBERTa-v3 Verification System by Xiao Liao, Wei Cui, Min Zhang, Aiwu Zhang, Pan Hu

“…The increasing sophistication of cyberattacks on smart grid infrastructure demands advanced anomaly detection and recovery systems that balance high recall rates with acceptable precision while providing reliable data restoration capabilities. …”
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Nonspecificity of adaptogenic effects of Ukrainian phytocompositions “Balm Truskavets’” and tea ATINE® by Igor Bombushkar, Anatoliy Gozhenko, Oksana Fihura, Ivan Savytskyi, Walery Zukow, Igor Popovych

“…The day after the completion of the treating course in all rats assessed the state of the neuro-endocrine-immune complex and metabolism according to the algorithm of the Truskavetsian Scientific School of Balneology and Phytotherapy. …”
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AI-powered topic modeling: comparing LDA and BERTopic in analyzing opioid-related cardiovascular risks in women by Li Ma, Li Ma, Ru Chen, Weigong Ge, Paul Rogers, Beverly Lyn-Cook, Huixiao Hong, Weida Tong, Ningning Wu, Wen Zou

“…In addition, BERTopic has the connection port for ChatGPT-4-Turbo or other large language models in its algorithm for automatic interpretation, while with LDA interpretation must be manually, and needs special procedures for data pre-processing and stop words exclusion. …”
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Analyzing electronic medical records to extract prepregnancy morbidities and pregnancy complications: Toward a learning health system by Yitayeh Belsti, Lisa Moran, Aya Mousa, Rebecca Goldstein, Daniel Lorber Rolnik, Mahnaz Bahri Khomami, Mihiretu M. Kebede, Helena Teede, Joanne Enticott

“…The k‐means clustering algorithm identified clusters of comorbid conditions associated with GDM. …”
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AI-Powered Identification of Osteoporosis in Dental Panoramic Radiographs: Addressing Methodological Flaws in Current Research by Robert Gaudin, Shankeeth Vinayahalingam, Niels van Nistelrooij, Iman Ghanad, Wolfus Otto, Stephan Kewenig, Carsten Rendenbach, Vasilios Alevizakos, Pascal Grün, Florian Kofler, Max Heiland, Constantin von See

“…<b>Background:</b> Osteoporosis, a systemic skeletal disorder, is expected to affect 60% of women over 50. While dual-energy X-ray absorptiometry (DXA) scans are the current gold standard for diagnosis, they are typically used only after fractures occur, highlighting the need for early detection tools. …”
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MYOFASCIAL SYMPTOMS IN CLINIC COMPRESSION OF DISLOCATION OF THE TEMPOROMANDIBULAR JOINT DYSFUNCTION by V.M. Novikov, P.I. Yatsenko, O.V. Rybalov

“…The issue here is that the algorithm of diagnostic measures with paresis of mimetic muscles does not include the research of TMJ components´ correlation between each other. …”
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Shoreline Change Detection Using DSAS: Case Study in PT IWIP Mining Industrial Area, North Maluku Province, Indonesia by Nurhalis Wahidin, Adi Noman Susanto, Irham, Zulhan Arifin Harahap, Salnuddin, Muhammad Aris

“… • The abrasion rate in this study area was categorized as moderate, while the accretion rate was categorized as very high due to construction activities.     …”
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Associations of absolute risk of osteoporotic fractures (FRAX®) and total cardiovascular risk (SCORE) in urban population of the Russian Federation by M. A. Myagkova, I. A. Skripnikova, O. V. Kosmatova, S. A. Shalnova, V. A. Vygodin

“…The risk of fracture, determined using the FRAX® algorithm, is positively associated with cumulative CVR (SCORE) in both men and women. …”
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A novel approach for downscaling land surface temperature from 30 m to 10 m using land features multi-interaction by Alfred Homère Ngandam Mfondoum, Sofia Hakdaoui, Ali Mihi, Ibrahima Diba, Mesmin Tchindjang, Luc Beni Moutila, Frederic Chamberlain Lounang Tchatchouang

“…Finally, the machine learning algorithm of random forest based on different seeds achieved overall accuracy between [0.92–1]. …”
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Identification of sweetpotato virus disease-infected leaves from field images using deep learning by Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue, Xuejun Yue

“…DS-1 is used for training, validation, and testing the model, while DS-2 is exclusively employed to validate the model’s reliability. …”
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Early behavioral indicators of aberrant feces in newly-weaned piglets by Vivian L. Witjes, Fleur Veldkamp, Francisca C. Velkers, Ingrid C. de Jong, Ellen Meijer, Johanna M. J. Rebel, Jan A. Stegeman, Tijs J. Tobias

“…Behavioral changes indicating impaired health may be detectable before the onset of signs and could be useful to detect the development of PWD early, enabling targeted and timely interventions. Current algorithms enable automated behavioral classification on the group level, while PWD may not affect all piglets in one pen and individual level analysis may be required. …”
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An Assessment of the Seasonal Uncertainty of Microwave L-Band Satellite Soil Moisture Products in Jiangsu Province, China by Chuanxiang Yi, Xiaojun Li, Zanpin Xing, Xiaozhou Xin, Yifang Ren, Hongwei Zhou, Wenjun Zhou, Pei Zhang, Tong Wu, Jean-Pierre Wigneron

“…These findings are expected to offer valuable insights for the appropriate selection of products and the enhancement of SM retrieval algorithms.…”
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A Camera-Embedded Self-Adaptable Finger With Multi-Modal Sensing Capabilities for Robotic Manipulation by Muhammad Usman Khalid, Hafiz Muizz Ahmed Sethi, Nirmal Kumar Ravikumar, Halar Haleem, Alessandro Seitone, Mattia Frascio, Perla Maiolino, Matteo Zoppi

“…The slip detection algorithm uses a dual-threshold approach that combines the Median Absolute Deviation (MAD) and standard deviation. …”
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Comprehensive analyses of telomerase component DKC1 and its association with clinical, molecular and immune landscapes in uterine corpus endometrial carcinoma by Chenxi Sun, Xu Liu, Tiantian Liu, Chenliu Fan, Yang Jiang, Binggen Li, Huiyang Yuan, Chengyun Zheng, Dawei Xu

“…Estrogen treatment of UCEC cells upregulated DKC1 expression while medroxyprogesterone inhibited its expression. …”
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Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks by Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara

“…The main advantage of the proposed algorithm is achieving high numbers of true positives while simultaneously achieving relatively small number of false positives. …”
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Quantum-Enhanced Predictive Degradation Pathway Optimization for PV Storage Systems: A Hybrid Quantum–Classical Approach for Maximizing Longevity and Efficiency by Dawei Wang, Shuang Zeng, Liyong Wang, Baoqun Zhang, Cheng Gong, Zhengguo Piao, Fuming Zheng

“…The framework integrates a quantum-inspired predictive maintenance algorithm, which utilizes probabilistic modeling to forecast degradation states and dynamically adjust charge–discharge cycles in storage systems. …”
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