Blockchain and NFT-Based Solution for Genomic Data Management, Sharing, and Monetization by Ahmad Musamih, Khaled Salah, Raja Jayaraman, Samer Ellaham, Mohammed Omar, Ibrar Yaqoob

“…We present various diagrams and algorithms to illustrate the functionality of our solution. …”
Get full text

Analysis of follow-up data in large biobank cohorts: a review of methodology by Anastassia Kolde, Anastassia Kolde, Merli Koitmäe, Merli Koitmäe, Meelis Käärik, Märt Möls, Krista Fischer, Krista Fischer

“…We address four primary issues: left-truncation of the data, computational inefficiency of standard model-fitting algorithms, relatedness among individuals, and model misspecification. …”
Get full text

Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment by Heru Agus Santoso, Nur Setiawati Dewi, Susilo, Arga Dwi Pambudi, Hanif Pandu Suhito, Iman Dehzangi

“…However, invasive methods, while accurate, are often painful and impractical for routine use. …”
Get full text

A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

“…Effective predictive methods assist learners in targeted studying based on forecast results, while effective analytical methods help educators design appropriate educational content. …”
Get full text

Diagnostic Utility of ¹⁸F-FDG PET/CT in Infective Endocarditis by Corina-Ioana Anton, Alice-Elena Munteanu, Mihaela Raluca Mititelu, Militaru Alexandru Ștefan, Cosmin-Alexandru Buzilă, Adrian Streinu-Cercel

“…Its integration into diagnostic algorithms may improve clinical management and outcomes in complex IE cases.…”
Get full text

Long-term planning optimisation of sustainable energy systems: A systematic review and meta-analysis of trends, drivers, barriers, and prospects by Soheil Mohseni, Alan C. Brent

“…These integrated resource planning endeavours primarily aim to minimise total discounted system costs while adhering to a network of interconnected technical constraints, encompassing considerations of reliability, resilience, and the integration of renewable energy sources. …”
Get full text

Selection and Validation of Stable Reference Genes for RT-qPCR in <i>Scotogramma trifolii</i> (Lepidoptera: Noctuidae) by Anpei Yang, Hang Zhang, Weiwei Bai, Ruifeng Ding, Weipeng Li, Guangkuo Li

“…To address the lack of validated reference genes in <i>S. trifolii</i>, we evaluated six candidate genes (<i>β-actin</i>, <i>RPL9</i>, <i>GAPDH</i>, <i>RPL10</i>, <i>EF1-α</i>, and <i>TUB</i>) across four developmental stages (egg, larva, pupa, and adult) and six adult tissues (head, thorax, abdomen, wings, legs, and antennae) using geNorm, NormFinder, BestKeeper, and RefFinder algorithms. Stability analysis identified <i>β-actin</i>, <i>RPL9</i>, and <i>GAPDH</i> as the most reliable reference genes for developmental stage normalization, while <i>RPL10</i>, <i>GAPDH</i>, and <i>TUB</i> were validated for adult tissues. …”
Get full text

Dynamic time-varying transfer function for cancer gene expression data feature selection problem by Hao-Ming Song, Yu-Cai Wang, Jie-Sheng Wang, Yu-Wei Song, Shi Li, Yu-Liang Qi, Jia-Ning Hou

“…Subsequently, to assess the generalizability of our proposed approach across 12 cancer gene expression datasets for testing purposes five algorithms (AOA, COA, PSO, WOA and ZOA) are employed. …”
Get full text

Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations by Da-Chun Qiang, Jie Zheng, Zhi-Qiang You, Sheng Yang

“…The Chow test results reveal that while some repeaters and nonrepeaters share similar empirical relationships, the overall distinctions between the two groups remain significant, reinforcing the classification of FRBs into repeaters and nonrepeaters. …”
Get full text

Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…TR prediction was more challenging while RF showed promising results in LOGOCV (nRMSE = 22.1 %), all ML models were outperformed by the NullModel in the more realistic LOYOCV scenario. …”
Get full text

“Image-Spectral” fusion monitoring of peanut leaf spot disease level based on deep learning by Yongda Lin, Jiangtao Tan, Hong Li, Xi Li, Jianguo Wang, Tingting Chen, Lei Zhang

“…RGB images offer high-resolution macroscopic indicators such as color, shape, and texture, while hyperspectral reflectance captures early-stage physiological and biochemical changes invisible to the naked eye. …”
Get full text

Accurate and rapid single nucleotide variation detection in PCSK9 gene using nanopore sequencing by Ilaria Massaiu, Vincenza Valerio, Valentina Rusconi, Valentina Rusconi, Francesca Bertolini, Donato De Giorgi, Veronika A. Myasoedova, Paolo Poggio, Paolo Poggio

“…MinION flow cell reached a perfect F1-score of 100%, while the more cost-effective Flongle flow cell remained a viable alternative (mean F1-score: 98.2% ± 4.2). …”
Get full text

Lossy DICOM conversion may affect AI performance by Robin Sebastian Mayer, Fabian Fliedner, Ingvild Frøberg Mathisen, Anna Laib, Julia Bein, Marco Eichelberg, Peter J. Wild, Nadine Flinner

“…So, if DICOM images are intended for a diagnostic use, all processes and algorithms must be (re-)evaluated with the converted files, as images are not identical. …”
Get full text

Computer Vision-Based Monitoring of Bridge Structural Vibration During Incremental Launching Construction by Hong Shi, Min Zhang, Tao Jin, Xiufeng Shi, Jian Zhang, Yixiang Xu, Xinyi Guo, Xiaoye Cai, Weibing Peng

“…The largest amplitude errors measured by the two methods were 5.59% and 14.39%, respectively, while the frequency errors were 1.82% and 1.02%, respectively. …”
Get full text

Adult Hope Scale: validation in older adults by Kate Labrosciano, Jillian Dorrian, Braam Lowies, Roslyn Russell, Kurt Lushington

“…Dimensionality was tested by (i) bifactor modelling (one-factor, two-factor and a bifactor model with a general factor, Hope, and two specific factors, Agency and Pathways) and (ii) exploratory graph analysis (which uses community detection algorithms to cluster variables into factors). Cross-gender invariance was also tested. …”
Get full text

Gut and respiratory microbiota landscapes in IgA nephropathy: a cross-sectional study by Xiaoli Yuan, Jianbo Qing, Wenqiang Zhi, Feng Wu, Yan Yan, Yafeng Li

“…We applied 16SrRNA sequencing to identify differential microbial populations. ML algorithms were then used to classify IgAN based on these microbial differences. …”
Get full text

Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG by Subhodwip Saha, Barun Haldar, Hillol Joardar, Santanu Das, Subrata Mondal, Srinivas Tadepalli

“…A total of 80% of the collected dataset was used for training the models, while the remaining 20% was reserved for testing their performance. …”
Get full text

Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…Our analysis reveals an evolving landscape of methodological approaches, with different techniques showing distinct capabilities in capturing complex degradation patterns in EV batteries. While recent years have seen increased adoption of DL methods, the effectiveness of different approaches varies significantly based on application context and data characteristics. …”
Get full text

Detecting Emerging DGA Malware in Federated Environments via Variational Autoencoder-Based Clustering and Resource-Aware Client Selection by Ma Viet Duc, Pham Minh Dang, Tran Thu Phuong, Truong Duc Truong, Vu Hai, Nguyen Huu Thanh

“…Domain Generation Algorithms (DGAs) remain a persistent technique used by modern malware to establish stealthy command-and-control (C&C) channels, thereby evading traditional blacklist-based defenses. …”
Get full text

Enhancing student reflections with natural language processing based scaffolding: A quasi-experimental study in a large lecture course by Muhsin Menekse, Alfa Satya Putra, Jiwon Kim, Ahmed Ashraf Butt, Mark A. McDaniel, Ido Davidesco, Michelle Cadieux, Joe Kim, Diane Litman

“…Students in the scaffolded condition were provided an app version with the scaffolding feature, while students in the non-scaffolded condition were provided a different version of the app without scaffolding. …”
Get full text