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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

A novel hybrid model for brain tumor analysis with CNN and Moth Flame Optimization by Mohit Prakram, Kirti Rawal, Arun Singh, Ankur Goyal, Shiv Kant, Shakeel Ahmed, Saiprasad Potharaju

“…Early and accurate detection of brain tumors is vital for improving patient outcomes and treatment decisions. …”
Get full text

Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

Get full text

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. …”
Get full text

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.…”
Get full text

AI-Driven Framework for Enhanced and Automated Behavioral Analysis in Morris Water Maze Studies by István Lakatos, Gergő Bogacsovics, Attila Tiba, Dániel Priksz, Béla Juhász, Rita Erdélyi, Zsuzsa Berényi, Ildikó Bácskay, Dóra Ujvárosy, Balázs Harangi

“…In this study, we present a novel AI-based automated framework to process and evaluate MWM test videos, aiming to enhance behavioral analysis through machine learning. Our pipeline involves video preprocessing, animal detection using convolutional neural networks (CNNs), trajectory tracking, and postprocessing to derive detailed behavioral features. …”
Get full text

In Silico Genomic Analysis of Avian Influenza Viruses Isolated From Marine Seal Colonies by Klaudia Chrzastek, Darrell R. Kapczynski

Get full text

A Sensor Data Prediction and Early-Warning Method for Coal Mining Faces Based on the MTGNN-Bayesian-IF-DBSCAN Algorithm by Mingyang Liu, Xiaodong Wang, Wei Qiao, Hongbo Shang, Zhenguo Yan, Zhixin Qin

“…By integrating original concentration data and residual features, gas anomalies are effectively identified by the proposed method, with the detection rate reaching a range of 93–96% and the false alarm rate controlled below 5%. …”
Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

Fault Diagnosis of Industrial Process Based on FDKICA-PCA by ZHANG Jing, ZHU Fei-fei, LIU Jia-xing, WANG Jiang-tao

“…Because the dynamic characteristics of autocorrelation and lag correlation in production process are neglected in fault diagnosis,Kernel Independent Component AnalysisPrincipal Component Analysis (KICAPCA) is very poor in detecting small and gradual faults because of lacking available variable contribution analysis.In this paper, a dynamic kernel independent component analysis (KICAPCA) fault diagnosis method based on wavelet packet filtering is proposed.This method integrates wavelet packet filtering theory and AR model prediction data characteristics into KICAPCA to extract the feature information of process variable autocorrelation and lagrelated .In this paper, KICAPCA algorithm is used to extract the independent components and principal components of process variables to determine the control limits of three monitoring indicators T2, SPE,I2.Nonlinear contribution graph is used for fault diagnosis, and the advantage of FDKICAPCA method is verified by simulation results of Tennessee process.…”
Get full text

Terahertz Frequency-Modulated Continuous-Wave Inspection of an Ancient Enamel Plate by Frédéric Fauquet, Francesca Galluzzi, Rémy Chapoulie, Aurélie Mounier, Ayed Ben Amara, Patrick Mounaix

Get full text

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.…”
Get full text

Substation Modelling and Network Security Monitoring Based on Scene Replication Technology by Xiaohu WANG, Guangxin Guo, Jiahan DONG, Lei WANG, Can CAO

Get full text

Inverse Gravimetric Problem Solving via Prolate Ellipsoidal Parameterization and Particle Swarm Optimization by Ruben Escudero González, Zulima Fernández Muñiz, Antonio Bernardo Sánchez, Juan Luis Fernández Martínez

Get full text