Identification of microsatellite loci according to BAC sequencing data and their physical mapping to the bread wheat 5B chromosome by M. A. Nesterov, D. A. Afonnikov, E. M. Sergeeva, L. A. Miroshnichenko, M. K. Bragina, A. O. Bragin, G. V. Vasiliev, E. A. Salina

“…A comparative analysis of the distribution of trinucleotide microsatellites over wheat chromosome 5B and in different cereal species suggests that the (AAG)n repeat has proliferated and has been maintained during the evolution of cereals.…”
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios by Siqi Li, Weidong Li, Wanbo Zheng, Yunni Xia, Kunyin Guo, Qinglan Peng, Xu Li, Jiaxin Ren

“…To evaluate the effectiveness of the proposed method, we compare it with five baseline algorithms: the improved grey wolf optimizer metaheuristic algorithm, the traditional genetic algorithm, the binary offloading decision mechanism, the partial non-cooperative mechanism, and the fully local execution mechanism. …”
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Machine learning anomaly detection of lost and unaccounted for gas in natural gas networks by Omar Fayez Mohamed ElMahdy, Mohamed Ezz Hassan, Sayed M. Metwalli

“…The outcome from the algorithm’s application in various scenarios was evaluated using four performance metrics, namely, Precision, Recall, F1score, and Accuracy. …”
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Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology by Shasha Wu, Shasha Wu, Qing Jiang, Jinhui Wang, Jinhui Wang, Daming Wu, Yan Ren

“…The Lasso algorithm confirmed 4 hub genes as potential biomarkers for MDD. …”
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A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients by Meng Wang, Wei Li, Fang Zhou, Zheng Wang, Xiaoteng Jia, Xingpeng Han

“…Next, the MCP-counter, TIMER and ESTIMATE algorithms were utilized to comprehensively assess the immune microenvironmental profile of LUAD patients in different risk groups. …”
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Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing by Bushra Kanwal, Arooj Iman, Shamsa Kanwal, Amal K. Alkhalifa

“…We used our estimated sharp Hankel determinants to develop a novel algorithm for image enhancement. The performance of the algorithm is evaluated on different image datasets of varying dimensions, with key quality metrics such as PSNR, SSIM, PCC, and MAE. …”
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Investigation of the Effect of Slope and Road Surface Conditions on Traffic Accidents Occurring in Winter Months: Spatial and Machine Learning Approaches by Emre Kuşkapan, Muhammed Yasin Çodur, Mohammad Ali Sahraei

“…As a result of the analysis, it was found that the J48 algorithm gave more accurate results. J48 processes both continuous and categorical attributes and is a decision tree algorithm that can effectively manage missing data. …”
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Optimization of Bayesian Neural Networks using hybrid PSO and fuzzy logic approach for time series forecasting by Farideh Sobhanifard

“…Providing flexible frameworks for the Neural Network training algorithm is one of the topics that has focused on many issues of the real world. …”
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Back pain: from pathophysiological mechanisms and clinical features to modern approaches to therapy by N. V. Titova, Yu. N. Bezdolny, A. A. Slipko

“…When inflammatory pain patterns are present in the sacroiliac joints region, it is mandatory to rule out sacroiliitis within the spectrum of seronegative spondyloarthritis (including ankylosing spondylitis and others) using a specialized diagnostic algorithm. Muscle-tonic syndrome requires differentiation from myofascial pain syndrome, another common form of musculoskeletal pain, as they have fundamental differences in pathogenesis, clinical presentation and treatment approaches. …”
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An integrated machine learning framework for developing and validating a prognostic risk model of gastric cancer based on endoplasmic reticulum stress-associated genes by Gang Wei, Yan Wang, Ru Liu, Lei Liu

“…The presence of immune and stromal cells within the tumor microenvironment was assessed with the aid of the ESTIMATE algorithm. Sensitivity variations to prevalent anticancer drugs between the risk groups were evaluated using the Genomics of Drug Sensitivity in Cancer(GDSC) database, and prospective therapeutic agents were confirmed through molecular docking techniques. …”
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Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China by Xiaodong Zhang, Mingjie Yang, Rui Guo, Yaolong Li, Fanglei Zhong

“…This study evaluates the spatial–temporal evolution of land use intensity and regional development under five shared socioeconomic pathways (SSPs) through prefecture-level projections in China (2020–2050). …”
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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

“…ATR-FTIR technology combined with the BP-ANN algorithm could effectively evaluate the CP, NDF, ADF, and starch contents of WPCS.…”
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StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification by Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, Abdulaziz A. Albesher, Shuihua Wang, Imran Ashraf

“…To mitigate this problem, we took advantage of two metaheuristic algorithms– Enhanced Crow Search and Differential Evolution. …”
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Transient Ischemic Attack: Clinical Features and Outcome by Desislava Drenska, Dimitar Maslarov

“…All subjects were studied using a clinical evaluation of pathogenetic mechanisms and an ABCD (2) algorithm. …”
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Research of the state of the stress-realizing systems in pregnant women with miscarriage by V. A. Plotnik

“…The results of this work helps to develop algorithm for evaluation and prediction of the risk of miscarriage…”
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A validated multivariable machine learning model to predict cardio-kidney risk in diabetic kidney disease by James L. Jr. Januzzi, Naveed Sattar, Muthiah Vaduganathan, Craig A. Magaret, Rhonda F. Rhyne, Yuxi Liu, Serge Masson, Javed Butler, Michael K. Hansen

“…Using machine learning techniques, a parsimonious risk algorithm was developed. Results The final model included age, body-mass index, systolic blood pressure, and concentrations of N-terminal pro-B type natriuretic peptide, high sensitivity cardiac troponin T, insulin-like growth factor binding protein-7 and growth differentiation factor-15. …”
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Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels by Eunjeong L. Park, Sungzoon Cho, Pilsung Kang

“…Paragraph Vector is one of such algorithms, which extends the word2vec algorithm by considering the paragraph as an additional word. …”
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Comparison between Logistic Regression and K-Nearest Neighbour Techniques with Application on Thalassemia Patients in Mosul by Mohammed Al jbory, Hutheyfa Taha

“…The study showed that the type of distance used in the K-nearest neighbor algorithm, whether "Manhattan" or "Chebyshev", has a significant impact on the accuracy of predictions, with the highest accuracy reaching 95% when K = 4. …”
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Estimating the Significance of Computer Model Factors Based on a Simple Neural Network by Volodymyr Pepelyaev, Nataliia Oriekhova, Ihor Lukyanov

“…Since the initial weights of the neural network are chosen randomly, the results of different runs on the same set of data are slightly different. …”
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Advanced QT interval analysis in long-term electrocardiography using shape-based clustering and template matching: A novel approach for Holter monitoring by Kaoru Hatano, Tomohiro Takata, Mineki Takechi, Akane Wada, Hirohisa Taniguchi, Yuichi Tamura

“…For all waves, the mean and standard deviation of the difference between the algorithm and the expert analysis was 0.5 (±16), and that of the difference between the DSC5500 and the expert analysis was −16.4 (±42.8). …”
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