Advanced analysis of retrotransposon variation in the human genome with nanopore sequencing using RetroInspector by Javier Cuenca-Guardiola, Belén de la Morena-Barrio, Javier Corral, Jesualdo Tomás Fernández-Breis

“…Abstract Transposable elements (TEs) make up 45% of the human genome, are a source of genetic variability difficult to detect, and involved in processes related to gene regulation and disease. …”
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Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis by Helen Coupland, Neil Scheidwasser, Alexandros Katsiferis, Megan Davies, Seth Flaxman, Naja Hulvej Rod, Swapnil Mishra, Samir Bhatt, H. Juliette T. Unwin

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Linguistic biomarkers of dementia in Italian patients living in Lombardy: insights from NLP analysis by Maria Letizia Piccini Bianchessi, Gloria Gagliardi

“…A multidimensional parameter analysis was performed on the corpus obtained taking into consideration a set of 151 linguistic features. …”
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Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli by Dmitry Yu Isaev, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, Guillermo Sapiro

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Goalie: Defending Against Correlated Value and Sign Encoding Attacks by Rongfei Zhuang, Ximing Fu, Chuanyi Liu, Peiyi Han, Shaoming Duan

“…According to the analysis, Goalie extracts features from the parameters in the early training epochs of the models and uses these features to detect malicious models. …”
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Infrared thermography for spatiotemporal analysis of high-temperature oxidation dynamics in AISI 1045 steel by Antony Morales-Cervantes, Gerardo Marx Chávez-Campos, Héctor Javier Vergara-Hernández, Jorge Sergio Téllez-Martínez, Maritza Fabiola León-Bejarano

“…This approach offers a high-resolution, non-invasive framework to characterize oxidation kinetics with spatial–temporal detail, supporting real-time monitoring and predictive failure analysis in high-temperature materials. This methodology shows potential for real-time industrial process monitoring and early failure detection in thermal management systems.…”
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Retrospective multidisciplinary analysis of human alveolar echinococcosis in Hungary using spatial epidemiology approaches by Eszter Csulak, Ágnes Csivincsik, Tamás Sréter, Norbert Solymosi, József Danka, Zsolt Káposztás, Gábor Nagy, Balázs Dezsényi

“…Among the 40 known cases in the country, 25 were detected in the last five years. Our study aimed to reveal the geographically underlying risk factors associated potentially with these cases. …”
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In Silico Genomic Analysis of Avian Influenza Viruses Isolated From Marine Seal Colonies by Klaudia Chrzastek, Darrell R. Kapczynski

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The Role of Machine Learning in Cognitive Impairment in Parkinson Disease: Systematic Review and Meta-Analysis by Yanyun Wu, Yangfan Cheng, Yi Xiao, Huifang Shang, Ruwei Ou

“…Predictors commonly used in ML models included clinical features, neuroimaging features, and other variables. …”
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Automated capillary electrophoresis analyses of dried blood samples after patient-centric volumetric absorptive microsampling by Richard Maršala, Miloš Dvořák, Pavel Kubáň

“…A single commercial capillary electrophoresis (CE) instrument (with no need for hardware or software modifications) was employed for the expeditious analyses of the dried material using several integral and novel features. These included the use of external pressure for sub-minute sample preparation from Mitra® VAMS polymeric tips, the use of the sampling tips as inherent micro-agitators for instant eluate homogenization, preparation/sampling at the CE outlet for more convenient capillary length adjustment, and short-end injection for sub-minute CE separation and quantification of lactate as a model analyte.The operational parameters for the sample preparation and analysis were comprehensively evaluated resulting in a baseline separation of lactate from all endogenous matrix compounds. …”
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A Review on Language-Independent Search on Speech and its Applications by Sushil Venkatesh Kulkarni, Sukomal Pal

“…A thorough analysis of language-independent search methods and models for speech detection, a crucial task in retrieving audio file from large archives based on spoken queries was presented in this study. …”
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Development and characterization of a pseudovirus system for human Aichi virus: in vitro and in vivo analysis by Ruojun Wu, Jingli Tian, Shunchang Fan, Minyi Liang, Yucheng Li, Ying Deng, Binbin Tang, Minyi Zhang, Qing Chen

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Clinical characterization and genetic analysis of transient abnormal myelopoiesis without the down syndrome phenotype by Junpeng Cai, Xiaomin Zhou, Yu Zhou, Guanghuan Pi

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A novel robust network construction and analysis workflow for mining infant microbiota relationships by Wei Jiang, Yue Zhai, Dongbo Chen, Qinghua Yu

“…In conclusion, the PBCDM-based networks reflect known features of infant microbiota and offer a promising approach for investigating microbial relationships. …”
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Dynamic Synergy Network Analysis Reveals Stage-Specific Regional Dysfunction in Alzheimer’s Disease by Xiaoyan Zhang, Chao Han, Jingbo Xia, Lingli Deng, Jiyang Dong

“…<b>Result:</b> The key finding are as follows: (1) synergy metrics exhibited lower intra-group coefficient of variation than mutual information metrics, indicating higher computational stability; (2) single-sample reconstruction significantly enhanced the statistical power in intergroup difference detection; (3) synergy metrics captured brain network features that are undetectable by traditional mutual information methods, with more pronounced differences between networks; (4) key node analysis demonstrated spatiotemporal degradation patterns progressing from initial dysfunction in orbitofrontal–striatal–temporoparietal pathways accompanied by multi-regional impairments during prodromal stages, through moderate-phase decline located in the right middle frontal and postcentral gyri, to advanced-stage degeneration of the right supramarginal gyrus and left inferior parietal lobule. …”
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Quand les questions en disent plus que les réponses : classification automatique des intentions dans les questions by Angèle Barbedette, Iris Eshkol-Taravella

“…We suggest a typology of these intents based on existing work and the corpus analysis. We implement a supervised automatic classification model based on annotated data and selected linguistic features, whose results and performance are evaluated and interpreted.…”
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Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

“…Using least absolute shrinkage and selection operator (LASSO) and the random forest method (RF) method, 15 key routine blood features were ultimtely selected from an initial set of 23 features for model training. …”
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Predictors of Complications in Radiofrequency Ablation for Hepatocellular Carcinoma: A Comprehensive Analysis of 1000 Cases by Mohamed H. Farag, Mohamed H. Shaaban, Hamdy Abdelkader, Adel Al Fatease, Sara O. Elgendy, Hussein H. Okasha

“…Clinician experience enhances early complication detection, thereby allowing for effective treatments.…”
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Microbial characteristics of bile in gallstone patients: a comprehensive analysis of 9,939 cases by Xin Zheng, Yunjun Yan, Xin Li, Mimin Liu, Xiaoyue Zhao, Jing He, Xuewei Zhuang, Xuewei Zhuang

“…The primary aim of this study is to investigate the differences in microbial communities cultured from bile specimens of patients with gallstones.MethodsWe collected the clinical characteristics and bile microbial status of 9,939 gallstone patients. Statistical analysis was employed to assess the relationship between microbes and clinical features, and a random forest model was utilized to predict recurrence.ResultsResults showed a higher proportion of females among patients, with the age group of 60-74 years being the most prevalent. …”
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GEAAD: generating evasive adversarial attacks against android malware defense by Naveed Ahmad, Amjad Saleem Rana, Hassan Jalil Hadi, Faisal Bashir Hussain, Prasun Chakrabarti, Mohammed Ali Alshara, Tulika Chakrabarti

“…The Android Opcode Modification GAN enhances malware detection by intelligently modifying opcode distribution features using the Opcode Frequency Optimal Adjustment algorithm. …”
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