A formal notation of legal rules applicable in the local space by Anna M. Barańska, Konrad Eckes

“…Objects removed from the set (as they are occupied) may randomly return, so for the purposes of effective searching, this process is presented as repeatable – as a whole or locally (cascading search). …”
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Method of Entry Layout under Synergistic Effects of Abutment Stress and Dynamic Stress by Wenlong Shen, Guocang Shi, Meng Wang, Tenglong Rong, Yungang Wang, Ruifeng Zhang, Xiangyu Wang, Jianbiao Bai

“…The analysis procedure can be repeatable and necessary since the rock and coal materials may be different in geological and engineering conditions.…”
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Dehydrotanshinone II A alleviates osteoarthritis via activating PPARγ to inhibit ferroptosis in chondrocytes by Wenli Guan, Fahu Yuan, Xin Wang

“…This study reveals that DHT IIA, the active ingredient of Simiao Powder, may alleviate OA by inhibiting ferroptosis through the activation of PPARγ. …”
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Integrative analyses of 16S rDNA sequencing and serum metabolomics demonstrate significant roles for the oral microbiota and serum metabolites in post-kidney transplant diabetes me... by Chao Liu, Sheng Chao, Lei Jia, Qizhen Yang, Qian Chen, Yulin Niu

“…Based on the random forest machine learning algorithm, genera such as UCG−005 (AUC = 0.9355), Succinivibrio (AUC = 0.8108); Akkermansia (AUC = 0.7742), Anaerovibrio (AUC = 0.2667), and Schwartzia (AUC = 0.2667), and serum metabolites such as LPI 18:0 (AUC: 0.8086), methylglyoxal (AUC: 0.7946), Vulgarin (AUC: 0.7828), 2-mercaptobenzothiazole (AUC: 0.7591), and PI(18:0/20:3(5Z,8Z,11Z)) (AUC: 0.7419) showed high diagnostic potential and may serve as clinical biomarkers. …”
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Proposing a New Classification for Managing Prostaglandin-Induced Enophthalmos in Glaucoma Patients by Ferraro V, Gaeta A, Barone G, Confalonieri F, Tredici C, Vinciguerra P, Di Maria A

“…The proposed therapeutic algorithm stratifies treatment: mild cases benefit from conservative management or fillers, moderate cases from calcium hydroxyapatite (CAHY) injections, and severe cases from combined CAHY and autologous fat grafting.Conclusion: A lack of a standardized grading system hinders consensus on management of PAPS. …”
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Phase-dependent closed-loop deep brain stimulation of the fornix provides bidirectional manipulation of hippocampal theta oscillations by Isaac Grennan, Brook Perry, Anna Verghese, Melissa Jones, Oliver Härmson, Colin G. McNamara, Andrew Sharott

“…In movement disorders, high-frequency DBS is thought to act as a virtual lesion, disrupting pathophysiological activity. In AD, it may be more advantageous to use stimulation to reinforce or rebuild oscillatory activities that are disrupted by the disease process. …”
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The dynamics of lowland river sections of Danube and Tisza in the Carpathian basin by Imre M. Jánosi, Imre M. Jánosi, István Zsuffa, István Zsuffa, Tibor Bíró, Boglárka O. Lakatos, Boglárka O. Lakatos, András Szöllősi-Nagy, Zsolt Hetesi, Zsolt Hetesi

“…Extracted periods by the Lomb-Scargle algorithm (suitable for unevenly sampled time series) and the long-time means indicate the expected annual seasonality. …”
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Dermatoscopic Criteria of Non-pigmented Basal Cell Carcinoma by Kiladze N., Shulaia T., Bulinska A., Abrahamovych L.

“…In this context, dermoscopic features may be of primary importance. The main dermatoscopic criteria for the diagnosis of non-pigmented BCC is the pattern of blood vessels according to the existing literature. …”
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An Integrative Analysis of Transcriptome Combined with Machine Learning and Single-Cell RNA-Seq for the Common Biomarkers in Crohn’s Disease and Kidney Stone Disease by Zhu J, Du Y, Gao L, Wang J, Mei Q

“…We constructed a protein-protein interaction (PPI) network and employed machine learning algorithms to pinpoint potential hub genes (HGs) for diagnosing CD with KSD. …”
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Theta–Beta/Gamma Coupling Identifies Bothersome Tinnitus Induced by Thalamocortical Dysrhythmia by Ying Wang, Jiajia Zhang, Xuan Huang, Shujian Huang, Yanmei Feng, Haibo Shi, Hui Wang, Richard Salvi, Shankai Yin

“…By integrating theta–beta/gamma PAC into a machine learning algorithm, up to 92% of BT patients were accurately identified. …”
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Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate by Shiyang Lv, Xiangying Ran, Mengsheng Xia, Yehong Zhang, Ting Pang, Xuezhi Zhou, Zongya Zhao, Yi Yu, Zhixian Gao

“…Among classification models, the KNN algorithm achieved the highest accuracy of 75.00%, outperforming LDA and SVM. …”
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The Short-Term Impacts of the 2017 Portuguese Wildfires on Human Health and Visibility: A Case Study by Diogo Lopes, Isilda Cunha Menezes, Johnny Reis, Sílvia Coelho, Miguel Almeida, Domingos Xavier Viegas, Carlos Borrego, Ana Isabel Miranda

“…The Weather Research and Forecasting Model was combined with a semi-empirical fire spread algorithm (WRF-SFIRE) to simulate particulate matter smoke dispersion and assess its impacts based on up-to-date numerical approaches. …”
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Detection of Undiagnosed Liver Cirrhosis via Artificial Intelligence-Enabled Electrocardiogram (DULCE): Rationale and design of a pragmatic cluster randomized clinical trial by Amy Olofson, Ryan Lennon, Blake Kassmeyer, Kan Liu, Zacchi I. Attia, David Rushlow, Puru Rattan, Joseph C. Ahn, Paul A. Friedman, Alina Allen, Patrick S. Kamath, Vijay H. Shah, Peter A. Noseworthy, Douglas A. Simonetto

“…A novel electrocardiogram (ECG)-enabled deep learning model trained for detection of advanced chronic liver disease (CLD) has demonstrated promising results and it may be used for screening of advanced CLD in primary care. …”
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Refining source-specific lung cancer risk assessment from PM2.5-bound PAHs: Integrating component-based potency factors and machine learning in Ningbo, China by Lord Famiyeh, Ke Chen, Fiseha Berhanu Tesema, Celeb Kelly, Dongsheng Ji, Hang Xiao, Lei Tong, Zongshuang Wang, Jun He

“…ERT emerged as the most robust algorithm, identifying industrial emissions, coal combustion, and gasoline engine exhaust as the primary contributors to elevated LECR in Ningbo. …”
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Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention by Anna Rita E. Moukarzel, Justin Fitzgerald, Marcus Battraw, Clifford Pereira, Andrew Li, Paul Marasco, Wilsaan M. Joiner, Jonathon Schofield

“…This shift in TMR’s motivation has influenced surgical approaches, in ways that may challenge conventional electromyography (EMG)-based prosthetic control. …”
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Research on Non-Random Vibration Analysis of Concrete Pump Truck Boom Based on Dynamic Excitation by Weixin Zhou, Wubin Xu, Bing Li, Yuanbin Xiao, Xianyu Liu, Hanwen Zhang, Bo Xu

“…The experimental findings demonstrate that the suggested approach may accurately capture the upper and lower bounds of the boom dynamic response, offering a trustworthy way to assess the dynamic behavior while pumping. …”
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Intermittent hypoxemia during hemodialysis: AI-based identification of arterial oxygen saturation saw-tooth pattern by Hanjie Zhang, Andrea Nandorine Ban, Peter Kotanko

“…Conclusion Our 1D-CNN algorithm accurately classifies SaO2 saw-tooth pattern. …”
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Predicting 24-hour intraocular pressure peaks and averages with machine learning by Ranran Chen, Jinming Lei, Yujie Liao, Yiping Jin, Xue Wang, Xiaomei Li, Danping Wu, Hong Li, Yanlong Bi, Haohao Zhu

“…Specific time point combinations and the RFR algorithm were identified, which improved the accuracy of predicting 24-hour peak and average intraocular pressure. …”
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GEM-CRAP: a fusion architecture for focal seizure detection by Jianwei Shi, Yuanyuan Zhang, Ziang Song, Hang Xu, Yanfeng Yang, Lei Jin, Hengxin Dong, Zhaoying Li, Penghu Wei, Yongzhi Shan, Guoguang Zhao

“…Beyond improving seizure interval detection, it excels in identifying and analyzing specific epileptic waveforms, such as high-frequency oscillations. This advancement may pave the way for more precise epilepsy diagnostics and provide a suitable artificial intelligence algorithm for closed-loop neurostimulation.…”
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Intelligent Data Processing Methods for the Atypical Values Correction of Stock Quotes by T. V. Zolotova, D. A. Volkova

“…For the initial data used in the work, the best result was shown by the implementation of the multiple imputation algorithm based on the detected outliers by the support vector method.Conclusion. …”
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