Bioinformatics analysis of the Microsporidia sp. MB genome: a malaria transmission-blocking symbiont of the Anopheles arabiensis mosquito by Lilian Mbaisi Ang’ang’o, Jeremy Keith Herren, Özlem Tastan Bishop

“…Importantly, meiosis-related genes (MRG) were detected, indicating potential for sexual reproduction in this organism. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…This study addresses the key issue of extracting traffic parameters suitable for signal timing optimization from sampled trajectory data by proposing a comprehensive method for traffic parameter extraction and analysis based on vehicle trajectory data. The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. …”
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Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

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Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis by Benqiao Wang, Bohao Jiang, Dan Liu, Ruixia Zhu

“… BackgroundHemorrhagic transformation (HT) is commonly detected in acute ischemic stroke (AIS) and often leads to poor outcomes. …”
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Artificial Intelligence Performance in Cardiac Magnetic Resonance Strain Analysis for Aortic Stenosis: Validation with Echocardiography and Healthy Controls by Žygimantas Abramikas, Ieva Jasiukevičiūtė, Giedrė Balčiūnaitė, Sigita Glaveckaitė, Darius Palionis, Nomeda Valevičienė

“…However, AI-based strain analysis had an overall error rate of 6%, which was significantly higher in AS patients (18.6%) compared to healthy controls (2.44%) (<i>p</i> = 0.0088). …”
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Risk Factor Analysis and Molecular Epidemiological Investigation of Carbapenem-Resistant Enterobacteriaceae (CRE) Infection in Patients with Acute Pancreatitis by Yang F, Liu F, Zhao X, Chen Q

“…Therefore, this study conducted a retrospective analysis of the clinical characteristics, risk factors, and molecular epidemiological features associated with CRE infection in patients with AP.Methods: A total of 240 patients with AP were admitted to our hospital from 2011 to 2021 as the research objects, and were divided into a CRE group of 60 cases and a non-CRE group of 180 cases based on whether they were co-infected with CRE or not. …”
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Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis by Zhendong Sha, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore, Ting Hu

“…The XOR model exhibits enhanced sensitivity to epistatic interactions between the network communities found in the Cartesian epistatic network, facilitating the identification of novel trait-related biological functions via community-based enrichment analysis. Additionally, the XOR network features triangle network motifs, indicative of higher-order epistatic interactions. …”
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Identification, characterization and full-length sequence analysis of a novel endornavirus in common sunflower (Helianthus annuus L.) by Wen-wen LIU, Min XIN, Meng-ji CAO, Meng QIN, Hui LIU, Shou-qi ZHAO, Xi-feng WANG

“…To identify the possible quarantine viruses in seven common sunflower varieties imported from the United States of America and the Netherlands, we tested total RNAs extracted from the leaf tissues using next-generation sequencing of small RNAs. After analysis of small RNA sequencing data, no any quarantine virus was found, but a double-stranded RNA (dsRNA) molecule showing typical genomic features of endornavirus was detected in two varieties, X3939 and SH1108. …”
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Comparative Analysis of Phenolic Contents, Antioxidant Activity and Anthocyanin Characteristics in the Pericarps of Three Small Berries in Northern China by ZHU Lei, LIU Yunting, WANG Yuanyuan, HU Xixi, WANG Mingjie, ZHANG Chao, JIANG Zeyu

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Atypical hierarchical brain connectivity in autism: Insights from stepwise causal analysis using Liang information flow by Shan Sun, Fei Wang, Fen Xu, Yufeng Deng, Jiwang Ma, Kai Chen, Sheng Guo, X. San Liang, Tao Zhang

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Genome-wide analysis of Epstein-Barr virus identifies variants and genes associated with gastric carcinoma and population structure by Youyuan Yao, Miao Xu, Liming Liang, Haojiong Zhang, Ruihua Xu, Qisheng Feng, Lin Feng, Bing Luo, Yi-Xin Zeng

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Incidence and risk factors for recurrent membranous nephropathy after kidney transplantation: a systematic review and meta-analysis by Jiang Bai, Zhifang Zheng, Jiajing Cao, Linghui Ji, Junchi Zhang, Yanan Yang, Qiang Guo

“…The protocol was registered on PROSPERO (CRD42022315448). A meta-analysis was carried out to examine the risk factors for recurrent MN, and statistical analysis was performed using Stata 12.0.Results This meta-analysis included a total of eight case–control studies with 108 patients with recurrent MN and 298 without recurrence. …”
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Variably protease-sensitive prionopathy: mass spectrometry analysis of the pathogenic prion protein provides a new perspective by S.K. Nemani, X. Xiao, S. Notari, I. Cali, K. Lundberg, L. Cracco, B.S. Appleby, W.K. Surewicz, V.L. Sim, P. Gambetti

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Diagnostic performance of CT for extrarenal fat invasion in renal cell carcinoma: a meta-analysis and systematic review by Junchao Ma, Enyu Yuan, Shijian Feng, Jin Yao, Chunlei He, Yuntian Chen, Bin Song

“…Heterogeneity was analyzed through meta-regression analysis. Results Fifteen studies were included in this meta-analysis. …”
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A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis by Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Mohammed Saleh Ali Muthanna, Ammar Muthanna, Ahmed Aziz

“…This paper introduces a novel deep learning (DL) architecture designed to enhance the processing, feature extraction, and analysis of ECG signals. The proposed model utilizes a hybrid framework that combines standard and dilated convolutional networks, advanced attention mechanisms, and temporal sequence learning to address the complexities of ECG data. …”
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Identification of Pyroptosis-Relevant Signature in Tumor Immune Microenvironment and Prognosis in Skin Cutaneous Melanoma Using Network Analysis by Yun Zhu, Dan Han, Hongjue Duan, Qi Rao, Yike Qian, Qiaoyun Chen, Xiao Du, Huanyu Ni, Siliang Wang

“…In addition, a prognostic pyroptosis-related signature (PPRS) model was constructed by performing Cox regression, weighted gene coexpression network analysis (WGCNA), and least absolute shrinkage and selection operator (LASSO) analysis to score SKCM patients. …”
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Diagnostic accuracy of transthoracic echocardiography for acute type A aortic syndrome: A systematic review and meta-analysis by Hsin-Tzu Yeh, Sz-Wei Lu, Tzu-Heng Cheng, Jian-Xun Lu, Chien-Han Hsiao, Chieh-Ching Yen

“…Indirect TTE sign indicates high-risk features of AAAS, such as aortic root dilatation, pericardial effusion, and aortic regurgitation. …”
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Comparing contract cheating papers and L2 university student papers using lexical complexity analysis: An exploratory study by Kathleen Bailey, Eniko Csomay

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Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

“…Experimental results demonstrate a 91% accuracy rate, outperforming traditional deepfake detection models. Additionally, feature importance analysis using Grad-CAM highlights how different architectures focus on distinct facial regions, enhancing overall model interpretability. …”
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Hierarchical RUL Prediction for Turbofan Engines Based on Health Stage Classification and Change Point-Guided Data Augmentation by Kiymet Ensarioglu

“…To better reflect real-world degradation, this assumption is refined using change point detection to assign engine-specific initial RUL values, offering a more realistic problem formulation. …”
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