The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…Statistical tests indicated a highly significant difference in slope (p < 0.01) and a significant difference in tree distance and aspect (p < 0.05) between sett quadrats and random point quadrats. …”
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Hyperspectral imaging combined with residual-attention-net for spectral-spatial feature fusion in liver disease diagnosis by Yunze Li, Jingjing Wang, Miaoqing Zhao, Jinlin Deng, Chongxuan Tian, Qize Lv, Yifei Liu, Kun Ru, Wei Li

“…Distinguishing well-differentiated hepatocellular carcinoma (HCC) from cirrhosis is critical for effective treatment. …”
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Multiparametric ultrasound liver examination in cardiological overweight patients: determining the cause of fibrosis and severity of steatosis by D. Yu. Shestakova, A. V. Borsukov, A. I. Skutar, A. R. Akhmedova

“…Aim. To evaluate the feasibility of using multiparametric liver ultrasound to determine the pathophysiological causes of increased stiffness in patients with cardio-metabolic risks.Material and methods. …”
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Investigation of the content of unsaturated hydrocarbons in transformer oils using IR spectroscopy by M. Sh. Garifullin, Y. N. Slobodina, A. R. Bikzinurov, R. A. Giniatullin, V. A. Chernyshov

“…It  is  shown  that  adsorption  purification has a low efficiency with respect to unsaturated compounds. An algorithm for differentiation of fresh mineral transformer oils produced by hydrocracking technology from the regenerated oils is  proposed. …”
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Prognostic Risk Signature and Comprehensive Analyses of Endoplasmic Reticulum Stress-Related Genes in Lung Adenocarcinoma by CaiZhen Yang, YuHui Wei, WenTao Li, JinMei Wei, GuoXing Chen, MingPeng Xu, GuangNan Liu

“…A total of 1034 samples from TCGA and GEO were used to screen differentially expressed genes. Further, Random Forest algorithm was utilized to screen characteristic genes related to prognosis. …”
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Intratumoral Heterogeneity Scores as Predictors of Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules: Insights from Explainable Machine Learning-Based Ter... by Wang Peng BS, Wanyin Qi BS, Yunhua Li BS, Sanhong Zhang BS, Juan Long BS

“…Introduction Preoperative differentiation of adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) using computed tomography (CT) is crucial for clinical management. …”
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COMPARATIVE CHARACTERISTICS OF BIOMATERIALS FOR THE REPLACEMENT OF JAW BONE DEFECTS AND THEIR ROLE IN THE PREVENTION OF INFLAMMATORY COMPLICATIONS by V.M. Havryliev, A.V. Kopchak, N.B. Kuzniak, D.V. Steblovski, O.A. Toropov, P.I. Yatsenko

“…The functional characteristics of osteoconductive scaffolds, their microand nanostructural properties, and biomimetic features were evaluated. Based on the obtained data, we developed an algorithm for the selection and application of biomaterials in oral surgery: precise selection of the type of bone substitute based on the anatomical and functional characteristics of the defect; individualized implant preparation, including surface modification; and the use of bioactive matrices containing growth factors and structural analogues of the extracellular matrix. …”
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Comprehensive bioinformatics analysis uncover molecular pathways shared between osteoarthritis and atherosclerosis by Yingchao Jin, Hua Zhang

“…In addition, the immune infiltration of OA and AS was analyzed and compared based on the ssGSEA algorithm, and the correlation between hub genes and infiltrating immune cells was evaluated in OA and AS, respectively. …”
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Software Effort Estimation Using Multi Expression Programming by Najla Al-Saati, Taghreed Alreffaee

“…As for to the test data, benchmark known datasets are employed taken from previous projects, the results are evaluated by comparing them with the results of Genetic Programming (GP) using different fitness functions. …”
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Integrative analysis identifies IL-6/JUN/MMP-9 pathway destroyed blood-brain-barrier in autism mice via machine learning and bioinformatic analysis by Cong Hu, Heli Li, Jinru Cui, Yunjie Li, Feiyan Zhang, Hao Li, Xiaoping Luo, Yan Hao

“…This study aimed to identify critical genes linking BBB function and neuroinflammatory activation, with the ultimate goal of evaluating potential therapeutic targets. Through integrative analysis combining differential gene expression profiling with three machine learning algorithms - Least Absolute Shrinkage and Selection Operator (LASSO) regression, Support Vector Machine Recursive Feature Elimination (SVM-RFE), and RandomForest combined with eXtreme Gradient Boosting (XGBoost) - we identified four hub genes, with JUN emerging as a core regulator. …”
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Comprehensive Analysis of the Influence of Technical and Biological Variations on De Novo Assembly of RNA-Seq Datasets by Gonzalez Sergio Alberto, Rivarola Maximo, Ribone Andres, Lew Sergio, Paniego Norma

“…In addition, the accuracy of quality metrics used to evaluate assemblies remains unclear. In this study, we investigate and discuss how different variables accounting for the complexity of RNA-Seq data influence assembly results independently of the software used. …”
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Multiobjective Design Optimization of Grillage Systems according to LRFD-AISC by Tugrul Talaslioglu

“…Hence, while the computational performances of these four optimization algorithms are compared using different combinations of optimizer-related parameters, the various strengths of grid members are also evaluated. …”
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Non-invasive urinary proteomic biomarkers for prognostic assessment in sepsis by Qingbo Zeng, Nianqing Zhang, Junjie Zeng, Lincui Zhong, Qingwei Lin, Longping He, Xiaomin Song, Jingchun Song

“…Feature variables were selected from the differentially expressed proteins using the Least Absolute Shrinkage and Selection Operator (LASSO) and the random forest algorithms and by determining whether their proteins had an area under the curve (AUC) greater than 0.8. …”
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Identification of a Prognosis-Related Risk Signature for Bladder Cancer to Predict Survival and Immune Landscapes by Linhui Wang, Yutao Wang, Jianfeng Wang, Luanfeng Li, Jianbin Bi

“…The Kaplan–Meier survival curves and receiver operating characteristics were used to evaluate the model’s effectiveness. The potential biological functions of the selected genes were analyzed using CIBERSORT and ESTIMATE algorithms. …”
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Integrated network toxicology and bioinformatics reveal PFAS-driven prognostic biomarkers and molecular mechanisms in breast cancer: insights from transcriptome analysis and molecu... by Yingqiang Fu, Yiyang Liu, Ziqi Sui

“…Enrichment analysis, network construction, and survival analysis were performed to elucidate the biological mechanisms and prognostic value. The CIBERSORT algorithm assessed immune cell infiltration, and molecular docking evaluated interactions between PFAS compounds and key genes. …”
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The most common errors in automatic ECG interpretation by Krzysztof Kraik, Krzysztof Kraik, Irena Anna Dykiert, Irena Anna Dykiert, Joanna Niewiadomska, Joanna Niewiadomska, Marta Ziemer-Szymańska, Karolina Mikołajczak, Karolina Mikołajczak, Mikołaj Kreń, Mikołaj Kreń, Piotr Kukiełka, Piotr Kukiełka, Adrian Martuszewski, Adrian Martuszewski, Tomasz Harych, Rafał Poręba, Paweł Gać, Małgorzata Poręba

“…Medical personnel worldwide routinely use the automatic analysis and interpretation of ECGs to support their medical evaluation of patients’ electrocardiograms.MethodsIn the current study, we performed a precise analysis of electrocardiograms from 526 different patients and compared it to the automatic interpretations to determine the frequency of false-positive (overinterpretation) and false-negative (underinterpretation) incorrect interpretations.ResultsIt was found that about 39% of ECGs were interpreted incorrectly and amongst the misinterpreted 193 ECG cases, 58% were false-negative, while 57% were false-positive. …”
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SIMULATION TRAINING IN MEDICAL STUDENT PREPARATION by Oleg V. Zinchenko, Alla A. Muravyeva, Oksana V. Vladimirova

“…This article outlines new methods of three-stage preparation of students using simulation technics and involving the students in the role of a simulator for modeling different clinical situation cases. The developed method of preparation and improvement of professional skills of medical students allows to study algorithms of first aid in critical cases more deeply, to learn emergency medical manipulations, to be able to evaluate the results of performed manipulations. …”
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Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography by Jiao Wu, YongXin Li, Wanqing Gong, Qian Li, Xue Han, Tingting Zhang

“…Abstract Objective To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules. …”
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Bioinformatics&amp;#x2011;Based Analysis Reveals Diagnostic Biomarkers and Immune Landscape in Atopic Dermatitis by Yang M, Zhang X, Zhou C, Du Y, Zhou M, Zhang W

“…Least Absolute Shrinkage and Selection Operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were used to screen hub genes. Immune cell infiltration was evaluated using CIBERSORT. …”
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MSSUTop-: Determining the Minimum Scan Scope for UTop- Query over Uncertain Data by Zhibin Zhao, Lan Yao, Ge Yu, Yubin Bao, Zhengbing Ma

“…In this direction, several optimized algorithms have been developed. However, uncertain databases are different in data distributions under different scoring functions, which has significant influence on the performance of the existing optimizing algorithms. …”
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