Innovación en sueño by Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

“…However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. …”
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Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study by Matthew Scaramozza, Aurélie Ruet, Patrizia A Chiesa, Laïtissia Ahamada, Emmanuel Bartholomé, Loïc Carment, Julie Charre-Morin, Gautier Cosne, Léa Diouf, Christine C Guo, Adrien Juraver, Christoph M Kanzler, Angelos Karatsidis, Claudia Mazzà, Joaquin Penalver-Andres, Marta Ruiz, Aurore Saubusse, Gabrielle Simoneau, Alf Scotland, Zhaonan Sun, Minao Tang, Johan van Beek, Lauren Zajac, Shibeshih Belachew, Bruno Brochet, Nolan Campbell

“…The assessment provided high-quality recordings from cognitive, manual dexterity, and mobility tests, from which 47 SDMs, based on established literature, were extracted using previously developed and publicly available algorithms. These SDMs were first separately and then jointly screened for bias and normality by 2 expert assessors. …”
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Interleukin-4 and specific IgE to oranges levels study in persons with allergic anamnesis by A. S. Prilutskiy, N. B. Abylgazinova, K. Y. Tkachenko

“…The data obtained from the study might be useful both in public health and in further research in order to improve diagnostic and treatment algorithms in orange sensitized patients.…”
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Remote Sensing in the 15 µm CO₂ Band: Key Concepts and Implications for the Heat Balance of Mesosphere and Thermosphere by Alexander Kutepov, Artem Feofilov, Ladislav Rezac, Konstantinos S. Kalogerakis

“…We investigated the algorithms and physical models currently applied to remote sensing of the mesosphere and lower thermosphere (MLT) using space-based observations of the CO₂ 15 µm emission. …”
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Curve interpolation using algebraic hyperbolic Pythagorean Hodograph curves of order four(四阶代数双曲毕达哥拉斯速端曲线插值方法) by 刘昊明(LIU Haoming), 徐帝纳(XU Dina), 方林聪(FANG Lincong), 李毓君(LI Yujun)

“…We validate the effectiveness of the proposed algorithms with several numerical examples. Finally, by connecting AHPH curve segments, we construct several AHPH splines interpolating given planar point sets.研究了四阶代数双曲毕达哥拉斯速端（algebraic hyperbolic Pythagorean Hodograph，AHPH）曲线的几何插值方法，包括G1 Hermite插值、C1 Hermite插值以及平面三点插值。…”
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Metabolism-associated marker gene-based predictive model for prognosis, targeted therapy, and immune landscape in ovarian cancer: an integrative analysis of single-cell and bulk RN... by Lele Ling, Bingrong Li, Boliang Ke, Yinjie Hu, Kaiyong Zhang, Siwen Li, Te Liu, Peng Liu, Bimeng Zhang

“…CIBERSORT and ESTIMATE algorithms were utilized for assessing the immune microenvironment of TCGA-ovarian serous cystadenocarcinoma (OV) samples. …”
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A gut instinct for childhood leukemia prevention: microbiome-targeting recommendations aimed at parents and caregivers by Ersen Kameri, Ersen Kameri, Ersen Kameri, Vera Helena Jepsen, Pawel Stachura, Pawel Stachura, Nadine Rüchel, Rigveda Bhave, Leticia Benitez, Fatima Crispi, Eduard Gratacos, Nico Dragano, Stefan Janssen, Arndt Borkhardt, Arndt Borkhardt, Aleksandra Pandyra, Aleksandra Pandyra, Aleksandra Pandyra, Gesine Kögler, Gesine Kögler, Ute Fischer, Ute Fischer, Ute Fischer

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Machine learning for epithelial ovarian cancer platinum resistance recurrence identification using routine clinical data by Li-Rong Yang, Mei Yang, Liu-Lin Chen, Yong-Lin Shen, Yuan He, Zong-Ting Meng, Wan-Qi Wang, Feng Li, Zhi-Jin Liu, Lin-Hui Li, Yu-Feng Wang, Xin-Lei Luo

“…Following this screening process, five machine learning algorithms were employed to develop predictive models based on the selected variables. …”
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Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…Additional research could explore advancements in sensor technology and control algorithms to further enhance the performance of automatic feeder control systems.AcknowledgmentThe authors would like to express their gratitude to the Managing Director of Farabi Agro-Industrial Company and its staff, as well as the technical staff of Poya Sazan Sabz Avane Company, who cooperated in the preparation and evaluation stages of the system. …”
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Immune training enhances anti-viral responses and improves outcomes in Pax5 −/+ mice susceptible to chronic infection by Zhe Lu, Olivia Stencel, Wei Liu, Eleni Vasileiou, Haifeng C Xu, Piyush Pandey, Paweł Stachura, Abdelrahman Elwy, Anastassia Tsombal, Ann-Sophie Mai, Franziska Auer, Mina N F Morcos, Maximilian Seidl, Sarah Koziel, Peter-Martin Bruch, Sascha Dietrich, Sarah Elitzur, Gunther Hartmann, Karl S Lang, Stefan Janssen, Ute Fischer, Sanil Bhatia, Philipp A Lang, Arndt Borkhardt, Julia Hauer, Aleksandra A Pandyra

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Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning by Tiantian Yu, Tiantian Yu, Tiantian Yu, Guiying Wang, Guiying Wang, Guiying Wang, Xia Xu, Xia Xu, Xia Xu, Jianying Yan, Jianying Yan, Jianying Yan

“…This involved integrating WGCNA, GO and KEGG pathway analyses, constructing PPI networks, applying machine learning algorithms, performing gene GSEA, and conducting immune infiltration analysis to identify the key hub genes related to oxidative stress. …”
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Aplicación del análisis de rango reescalado R/S para la predicción de genes en el genoma vegetal Rescaled range R/S analysis application for genes prediction in the plant genome by Martha Isabel Almanza Pinzón, Karina López López, Carlos Eduardo Téllez Villa

“…Python programming language algorithms were developed with the purpose of extract, screen and modeling more than 80% of the registered gene sequences for these genomes in the NCBI Gene Bank data base. …”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The Driving Training Based Optimization (DTBO) method has been used to achieve the goals, and its performance has been compared to that of other optimization algorithms that have been reported in recent ORPD studies. …”
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High prevalence of resistance to macrolides and fluoroquinolones in Mycoplasma genitalium isolated from patients in two Russian megalopolises – Moscow and St. Petersburg in 2021– 2... by Edelstein I.A., Gushchin A.E., Gladin D.P., Romanov A.V., Negasheva E.S., Frigo N.V., Kozlov R.S., Potekaev N.N., Kozlova N.S., Borukhovich D.G.

“…The introduction of adapted diagnostic and therapeutic algorithms will reduce the duration of drug administration, increase the effectiveness of therapy and reduce the burden on the health care system. …”
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Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

“…This study develops a comprehensive, data-driven framework for predicting satellite imagery prices using four state-of-the-art ensemble learning algorithms: XGBoost, LightGBM, AdaBoost, and CatBoost. …”
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Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review by Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

“…ObjectiveWe aimed to provide a comprehensive evaluation of AI-based algorithms for TB detection across various data modalities. …”
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A human visual cognitive mechanism based network for surface defect detection(基于人类视觉认知机制的表面缺陷检测) by 崔丽莎(CUI Lisha), 代润鹏(DAI Runpeng), 姜晓恒(JIANG Xiaoheng), 李飞蝶(LI Feidie), 陈恩庆(CHEN Enqing), 徐明亮(XU Mingliang)

“…HVCM-Net achieves superior detection performance on defect datasets GB-DET, NEU-DET, and DAGM2007 compared to other algorithms, demonstrating the effectiveness of the proposed method.…”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Future research should focus on utilizing high-resolution spatiotemporal data, refining algorithms, and developing mechanisms to translate research findings into practical urban planning and ecological management policies.…”
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Revisión de artrodesis subtalar por no unión: a propósito de un caso by Gregorio Verschae, MD, Valentín Val, MD, Vicente Alba, MD, Andrés Cáceres, MD, Sebastián Pavez, MD, Nicolás Cid, MD

“…Finally, the implementation of well-structured diagnostic and therapeutic algorithms is crucial to improve functional outcomes and ensure successful bone fusion.…”
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Features of Lipid Spectrum and Insulin Resistance Parameters in Patients with Type 2 Diabetes Mellitus and Cardiac Autonomic Neuropathy and Appropriateness of Simvastatin and Omega... by Azhmi S., Serhiyenko V.

“…Although it is a common complication, the significance of CAN has not been fully appreciated and there are no unified treatment algorithms for today. It is obvious that the foreground should be the therapy aimed at lifestyle modification, reducing insulin resistance (IR), correction of hyperglycemia, dyslipoproteinemia (DLP), symptomatic treatment of concomitant diseases and syndromes. …”
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