Research progress on shale gas productivity evaluation: concepts, methods and future directions by ZHU Suyang, PENG Zhen, DI Yunting, PENG Xiaolong, LIU Dongchen, GUAN Wenjie

“…In addition, further work is needed to incorporate mechanism-informed constraints into machine learning algorithms, enhance model transparency through causal inference, and improve interpretability. …”
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Carbon Stars from Gaia Data Release 3 and the Space Density of Dwarf Carbon Stars by Benjamin R. Roulston, Naunet Leonhardes-Barboza, Paul J. Green, Evan Portnoi

“…We combined these indices with the XP spectral coefficients as inputs to supervised machine learning algorithms trained on a vetted sample of known C stars from LAMOST. …”
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Design and Characterization of the Modified Purdue Subcritical Pile for Nuclear Research Applications by Matthew Niichel, Vasileios Theos, Riley Madden, Hannah Pike, True Miller, Brian Jowers, Stylianos Chatzidakis

“…This work establishes that the modified Purdue subcritical pile can provide fair neutron and gamma fluxes within a large volume to enable the radiation testing of integral electronic components and can be a versatile research instrument with the potential to support material testing and limited isotope activation, while generating valuable training data sets for machine learning algorithms in nuclear applications.…”
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Exploring the capabilities of hyperspectral remote sensing for soil texture evaluation by Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Fereydoon Sarmadian, Hassan Ghasemi-Mobtaker, Reza Alimardani, Pouya Bohlol

“…Additionally, we compared the performance of random forest (RF) algorithms with partial least squares regression (PLSR), multiple linear regression (MLR), support vector machine regression (SVR), decision trees (DTs), and multilayer perceptron (MLP) neural networks, addressing the effects of feature selection and irregular soil data on the modeling procedure. …”
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Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty by Lijuan Wang, Ping Yue, Yang Yang, Sha Sha, Die Hu, Xueyuan Ren, Xiaoping Wang, Hui Han, Xiaoyu Jiang

“…These findings deepen the understanding of LSE characteristics and provide a scientific basis for refining LST/LSE separation algorithms in thermal infrared remote sensing and for optimizing LSE parameterization schemes in land surface process models for climate and hydrological simulations.…”
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Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records by Ioannis Koutroulis, Tom Velez, Tony Wang, Seife Yohannes, Jessica E. Galarraga, Joseph A. Morales, Robert J. Freishtat, James M. Chamberlain

“…Using feature sets used in related clustering studies, LCA and K‐means algorithms were used to derive 4 distinct phenotypic pediatric sepsis segmentations. …”
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Advanced Hydroponic Nutrient Management Systems for Vertical Farming Efficiency with IoT and Model Predictive Control to Enhance Sustainable Crop Growth by Almusawi Muntather, Hussein Abbas Hameed Abdul, Raju V. Siva Prasada

“…The study shows that it is possible to hugely enhance the efficiency and productivity of vertical farming systems by utilizing advanced control algorithms and exact monitoring of vertical channels. …”
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THE RESULTS OF MYOCARDIAL REVASCULARIZATION IN NON-ST-ELEVATION ACUTE CORONARY SYNDROME PATIENTS AND MULTIVESSEL DISEASE by R. S. Tarasov, Yu. N. Neverova, V. I. Ganyukov, S. V. Ivanov, O. A. Nagirnyak, O. L. Barbarash, L. S. Barbarash

“…The development needed, of algorithms of optimal strategy of revascularization in NSTEACS, with MD, based upon objective criteria, and meaning the higher rate of CBG approach fulfilling the most complete revascularization.…”
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Exploring the effect of the triglyceride-glucose index on bone metabolism in prepubertal children, a retrospective study: insights from traditional methods and machine-learning-bas... by Shunshun Cao, Aolei Chen, Botian Song, Yangyang Hu

“…Methods In this retrospective study of 332 prepubertal children (163 boys and 169 girls), we used multivariate linear regression and five machine learning (ML) algorithms to explore the association between the TyG index and BTMs, including β-C-terminal telopeptide of type 1 collagen (β-CTx), total procollagen type 1 N-terminal propeptide (T-P1NP), and N-terminal mid-fragment of osteocalcin (N-MID). …”
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Classification of intracranial tumors based on optical-spectral analysis by I. D. Romanishkin, T. A. Savelieva, A. Ospanov, K. G. Linkov, S. V. Shugai, S. A. Goryajnov, G. V. Pavlova, I. N. Pronin, V. B. Loschenov

“…In case the number of parameters exceeds a couple of dozens, it is necessary to use machine learning algorithms  to build a intraoperative decision support system for the surgeon. …”
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Strategy for Optimizing Vitamin B12 Production in <i>Pseudomonas putida</i> KT2440 Using Metabolic Modeling by Thomaz Satuye Prieto-de Lima, Keilor Rojas-Jimenez, Christopher Vaglio

“…<b>Methods</b>: We curated and modified a genome-scale metabolic model of <i>Pseudomonas putida</i> KT2440 and evaluated different strategies to optimize vitamin B₁₂ production using the knockin and OptGene algorithms from the COBRA Toolbox. Furthermore, we examined the presence of riboswitches as cis-regulatory elements and calculated theoretical biomass growth yields and vitamin B₁₂ production using a flux balance analysis (FBA). …”
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Monitoring and optimization of POCT devices in a multi-specialty hospital in Poland: usage trends, quality assurance, and clinical impact (2017–2024) by Agnieszka Woźniak-Kosek, Lucyna Drążek

“…Oxygenation status and acid-base balance are determined on arterial blood gasometry and are vital components of modern treatment algorithms for critically ill patients, similar to capillary blood glucose level measurement. …”
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Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding by Xiaomei Hu, Fanqi Liang, Man Zheng, Juying Xie, Shanxi Wang

“…The relationship between KCTD10 expression and immune processes was examined using CIBERSORT and ESTIMATE algorithms to assess tumor microenvironment characteristics, suggesting increased immune cell infiltration associated with higher KCTD10 expression. …”
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Efficient evidence selection for systematic reviews in traditional Chinese medicine by Yizhen Li, Zhe Huang, Zhongzhi Luan, Shujing Xu, Yunan Zhang, Lin Wu, Darong Wu, Dongran Han, Yixing Liu

“…Methods We integrated an established deep learning model (Evi-BERT combined rule-based method) with Boolean logic algorithms and an expanded retrieval strategy to automatically and accurately select potential evidence with minimal human intervention. …”
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Economic burden of the novel coronavirus infection: a systematic review by V. M. Timiryanova, I. A. Lakman, N. Sh. Zagidullin, D. F. Gareeva

“…Predominantly, the estimates involve the calculation of quality-adjusted life years lost (QALY) (66.3%), 37.6% of the studies are based on the results of constructing scenario models, 28.8% consume algorithms of epidemiological SIR (susceptible, infected, or recovered) models, and 66.3% provide for cost assessment. …”
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THE RESULTS OF SURGICAL TREATMENT OF PATIENTS WITH MULTIPLE PRIMARY LUNG CANCERS ACCORDING TO ORENBURG REGIONAL ONCOLOGICAL CLINIC DATA by E. A. Kalinin, M. A. Senchukova, M. N. Vasukov, P. V. Samoilov, S. O. Mitryakov, S. V. Pinchuk

“…Low rates of patients’ 5‑year survival are connected with problems of primary diagnostics and low efficiency of existing algorithms of regular medical checkup of patients with this pathology. …”
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Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline by HongYi Li, Jun-Fen Fu, Andre Python

“…With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitable algorithms to support their work. ObjectiveWe aimed to provide clinicians and other health care practitioners with systematic guidance in selecting an LLM that is relevant and appropriate to their needs and facilitate the integration process of LLMs in health care. …”
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Fuzzy Controlled MPPT to Grid Connected PV Systems by Sukumar G. Durga, Prasad R. Ramanjan, Vardhan R. Harsha, Pakkiraiah B., Krishna Ch. Leela

“…Leveraging fuzzy logic algorithms, this technique allows for dynamic power management, precise voltage regulation, and enhanced frequency stability, effectively mitigating the issues inherent to intermittent solar power. …”
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The large, viscous thrombus is aspirated by using the cyclic suction technique by Lin Shenqi, Yu Ling, Hong Ruiting, Dong Runcheng, Liu Bohao, Ruan Wencong, Sun Tao, Zhou Dongqing, Zhou Yixuan, Chen Shi

“…Pressure sensor data is then used to develop algorithms and control programs, enabling precise control of the opening and closing actions of the positive and negative pressure solenoid valves at specified intervals. …”
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Application of Solenoid Valves for Tram Hydraulic Braking Force Control by ZHANG Yanwei, MAO Jinglu, WANG Cong, WANG Zhongxiang, HAO Xinxin

“…A test bench for the tram hydraulic braking force control is set up, and pressure following tests with 0.5 Hz and 1.0 Hz sinusoidal waves are carried out on the two types of valves respectively by using closed-loop control algorithms. The following situations of the actual pressure curves and the target pressure curves are compared. …”
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