The Prognostic Value of Serum HBV-RNA during Hepatitis B Virus Infection is Related to Acute-on-Chronic Liver Failure by Keli Qian, Ying Xue, Hang Sun, Ting Lu, Yixuan Wang, Xiaofeng Shi

“…Serum HBV-RNA levels can predict antiviral response in chronic hepatitis B (CHB) patients; however, its role in HBV-related ACLF (HBV-ACLF) remains unclear. …”
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Comprehensive bioinformatics analysis uncover molecular pathways shared between osteoarthritis and atherosclerosis by Yingchao Jin, Hua Zhang

“…Abstract Background There is growing evidence of an association between osteoarthritis (OA) and atherosclerosis (AS). …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…Timing framework associated with catastrophes is one of the most important issues in crisis management. …”
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Spatial and temporal variation of malaria incidence in children under 10 years in a pyrethroid-resistant vector area in southern Benin by Edouard Dangbenon, Mintodê Nicodème Atchadé, Martin C. Akogbéto, Mahouton N. Hounkonnou, Landry Assongba, Hilaire Akpovi, Manisha A. Kulkarni, Natacha Protopopoff, Jackie Cook, Manfred Accrombessi

“…Conclusion This study uses innovative technologies such as remote sensing and geographic information systems (GIS) to analyse the environmental, meteorological and geographical factors influencing malaria transmission, thereby identifying high-risk areas and associated factors. It demonstrates that these tools improve the accuracy of control strategies, while highlighting the crucial role of the environment and human behaviour, paving the way for more targeted interventions against malaria and other vector-borne diseases.…”
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Strobing of Radar Marks for Trajectory Filtration in a Body-Fixed Frame by Konstantin K. Vasiliev, Alexey V. Mattis, Oleg V. Saverkin

“…This has also required an enhanced role for strobe algorithms and the need to increase the effectiveness of strobe radar marks.Aim. …”
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A machine vision approach for classification and dimensional design of furniture panels using GMM-SVM by Yuan Tian, Li Zhao, Haoxin Li

“…Meanwhile, in the comparative experiments with Bayesian classification algorithm (BC) and artificial neural network algorithm (ANN), the suggested GMM-SVM combination algorithm provides the greatest recognition effect, with the maximum accuracy rate of 0.948. …”
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Analysis of complications after living-related kidney transplantation: a single-center experience by F. A. Khadjibaev, V. Kh. Sharipova, P. K. Sultanov

“…The original authors' algorithm developed for the diagnosis and treatment of complications after kidney transplantation covers all postoperative complications that lead to renal transplant dysfunction. …”
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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

“…These genes were analyzed using univariate COX and machine learning algorithms to develop a prognostic scoring algorithm. …”
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Maternal epigenetic index links early neglect to later neglectful care and other psychopathological, cognitive, and bonding effects by Inmaculada León, Daylín Góngora, María José Rodrigo, Silvia Herrero-Roldán, Maykel López Rodríguez, Colter Mitchell, Jonah Fisher, Yasser Iturria-Medina

“…We performed an epigenome-wide association study to investigate the role of DNA methylation levels in mothers with neglectful care, who were exposed to childhood maltreatment and neglect, and their current negative effects. …”
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Bioinformatics Analysis of Oxidative Stress-Related Genes and Immune Infiltration Patterns in Vitiligo by Yang M, Wang H, Zhang R

“…Significant differences in immune infiltration patterns were observed between vitiligo patients and normal controls. Machine learning algorithms identified oxidative stress-related key genes associated with vitiligo, notably the DCT gene, whose expression was strongly linked to the activity of specific immune cell subsets and melanin biosynthetic pathways.Conclusion: Oxidative stress-related DEGs, ribosomal proteins, immune infiltration, and hub genes related to melanin biosynthesis, particularly DCT, are closely associated with the pathogenesis of vitiligo. …”
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SIGNIFICANCE OF INFLAMMATION MARKERS DETERMINED IN PREGNANT WOMEN WITH ANEMIC SYNDROME AND OBESITY by Т. S. Prokhorenko, A. P. Zima, T. V. Saprina, N. N. Musina, N. S. Shakhmanova, O. A. Vasilyeva, V. V. Novitsky

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Identification and validation of the diagnostic biomarker MFAP5 for CAVD with type 2 diabetes by bioinformatics analysis by Qiang Shen, Lin Fan, Chen Jiang, Dingyi Yao, Xingyu Qian, Fuqiang Tong, Zhengfeng Fan, Zongtao Liu, Nianguo Dong, Chao Zhang, Jiawei Shi

“…Machine learning (ML) algorithms were employed to screen potential biomarkers. …”
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Analysis of Temperature Changes, Vegetation, Evapotranspiration, and Drought Based on Modeling of Landsat 5 and 8 Satellite Imagery and Meteorological Indicators by Mitra Sadat Fathifard, Abbas Rahdan, Mahsa Tohidfar

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Structural and population-based evaluations of TBC1D1 p.Arg125Trp. by Tom G Richardson, Elaine C Thomas, Richard B Sessions, Debbie A Lawlor, Jeremy M Tavaré, Ian N M Day

“…Structural prediction involved the use of three separate algorithms; Robetta, HHpred/MODELLER and I-TASSER. We used the transmission disequilibrium test (TDT) to investigate familial association in the ALSPAC study cohort (N = 2,292 mother-offspring pairs). …”
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Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan

“…The digitization of electrical diagrams plays a crucial role in modern construction industries, enabling efficient reuse, seamless distribution, and accurate archiving. …”
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Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder by Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu

“…By comparing the enrichment results across the five datasets, we found that the cell-killing signaling pathway was consistently present in the enriched signaling pathways of all datasets, suggesting that this pathway may play a crucial role in the pathogenesis of MDD. The random forest algorithm (AUC = 0.788) was selected as the optimal algorithm from 113 machine learning algorithms, leading to the development of a robust and predictive MDD algorithm, highlighting the important role of NPL in MDD. …”
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Host and bacterial urine proteomics might predict treatment outcomes for immunotherapy in advanced non-small cell lung cancer patients by David Dora, Peter Revisnyei, Peter Revisnyei, Alija Pasic, Gabriella Galffy, Edit Dulka, Anna Mihucz, Brigitta Roskó, Sara Szincsak, Anton Iliuk, Glen J. Weiss, Zoltan Lohinai, Zoltan Lohinai

“…Internal validation was performed using the Random Forest (RF) machine learning (ML) algorithm. RF was validated with a non-linear Bayesian ML model. …”
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Сlinical features of changes in the microcirculation system among children with allergic rhinitis, depending on the severity of dysfunction of the autonomic nervous system by N. S. Tataurschikova, P. V. Berezhansky

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Disease activity and damage in patients with primary Sjogren's syndrome: Prognostic value of salivary gland ultrasonography. by Vera Milic, Jelena Colic, Andja Cirkovic, Svetlana Stanojlovic, Nemanja Damjanov

“…We investigated the potential prognostic role of sUS as a tool in the assessment of disease activity.…”
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Analyzing cropland fragmentation evolution and driving mechanisms in Shandong through MSPA and landscape metrics integration by Tianwei Zhang, Wei Li, Zengfeng Zhao, Meizhen Bi, Yi Zheng

“…Abstract As the foundational and core resource for agricultural development, arable land plays a critical role in optimizing regional agricultural resource allocation and ensuring food security. …”
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