Accuracy of predicting the genetic risk of disease using a genome-wide approach. by Hans D Daetwyler, Beatriz Villanueva, John A Woolliams

“…<h4>Background</h4>The prediction of the genetic disease risk of an individual is a powerful public health tool. While predicting risk has been successful in diseases which follow simple Mendelian inheritance, it has proven challenging in complex diseases for which a large number of loci contribute to the genetic variance. …”
Get full text

Classification of Fritillaria thunbergii appearance quality based on machine vision and machine learning technology by DONG Chengye, LI Dongfang, FENG Huaiqu, LONG Sifang, XI Te, ZHOU Qin’an, WANG Jun

“…In order to classify the appearance quality level of Fritillaria thunbergii, the F. thunbergii dataset was constructed with the DigiEye system followed by an image annotation tool. Several statistical learning and object detection algorithms were selected to train and test the F. thunbergii dataset. …”
Get full text

Development of a Model Supporting the Analysis of Costs Related to Equipment Relocation in a Manufacturing Facility by Ostowska Weronika, Stryhunivska Olena

“…The objective of the study is to develop and validate a practical tool that enables accurate cost estimation and supports planning decisions in various industrial contexts. …”
Get full text

ANALYTICAL MODEL OF A DIFFERENTIAL METHOD FOR RECEIVING AND PROCESSING SIGNALS OF THE INFRARED RANGE OF WAVELENGTHS by N. S. Akinshin, Yu. I. Mamon, E. A. Staroguk

“…The temporal boundaries are used for the decision making about the type and parameters of the movable object in complexional device of object classification.The principle of operation of ikso, which is to record signals with diversity of pyrocatechol into the appropriate memory registers and output detection of the differential signal envelope. …”
Get full text

Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…This automated method significantly reduces the time and effort compared to manual segmentation and offers higher repeatability, making it a valuable tool for preclinical and potentially clinical MRI applications.…”
Get full text

Genetic Programming-Based Prediction Model for Microseismic Data by Man Wang, Hongwei Zhou, Dongming Zhang, Yingwei Wang, Weihang Du, Beichen Yu

“…Microseismic monitoring is a rock breakdown monitoring technology, and it has become a major technical tool for underground disaster warning and prevention. …”
Get full text

Structure function in photoplethysmographic signal dynamics for physiological assessment by Javier de Pedro-Carracedo, David Fuentes-Jimenez, María Fernanda Cabrera-Umpiérrez, Ana Pilar González-Marcos

“…A structure function serves as an essential tool for uncovering long-term correlations that highlight self-organizing behavior. …”
Get full text

Development and evaluation of accurate 3D human models using scan data: a comparison with SMPL and CLO models by Gyungin Jung, Minjoo Kang, Sungmin Kim

“…These results validate the effectiveness of the proposed system as a robust tool for human-centered applications requiring high-fidelity modeling and optimized fit in mass-customized product development environments.…”
Get full text

Research on Personalized Motion Difficulty Dynamic Adjustment Algorithm for VR Rehabilitation Sports Based on Reinforcement Learning by Dong Yujie, Tong Zhou, Xiang Xu

“…Virtual Reality (VR) rehabilitation has rapidly gained recognition as a transformative and effective tool in modern therapeutic practices, offering immersive, interactive environments that significantly enhance patient participation, motivation, and recovery outcomes. …”
Get full text

Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

“…The proposed ML framework provides a first powerful tool for the rational design of FTS catalysts and operating conditions to maximize jet fuel productivity.…”
Get full text

Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database. by Yang Xu, Chunxiao Song, Wenping Wei, Runfeng Miao

“…These results offer a robust, clinically applicable tool for early AKI prediction, enabling proactive interventions to improve outcomes in cardiac surgery patients.…”
Get full text

THE OPTIMIZATION METHOD OF FUZZY AUTOMATIC CLASSIFICATION IN THE PROBLEM OF COMBINING THE ASSESSMENTS OF TRAJECTOR MEASUREMENTS IN THE RADAR SYSTEM by A. V. Khizhniak

“…By a radiolocation system the author mean an automated hierarchical technical complex that combines, using communication tools, a set of asynchronously functioning radiolocation tools, as well as central and intermediate points that collect, process and issue trajectory radiolocation information. …”
Get full text

MESH CONVERGENCE TEST BY USING FINITE ELEMENT ANALYSIS (FEA) IN SHAFT LOADING OF 2 KW INDUCTION MOTOR by Lambert Hotma, Nur Cholis Majid, Marsalyna, Jekki Hendrawan, Nirma Afrisanti Kinasih, Dwi Jaya Febriansyah, Bayu Novariawan, Muhammad Reza Alfin, Intan Satwika Putri, Muhammad Thowil Afif, Budi Noviyantoro Fadjrin, Endra Dwi Purnomo

“…Finite Element Analysis (FEA) is a calculation tool to find out a determined solution for a complex structure subjected to some certain static load. …”
Get full text

Superior growth performance in carp fry achieved with chitosan-alginate encapsulated A-ghrelin versus free peptide: Evidence from physiological, molecular, and morphological analys... by Mohammad Matinfar, Behrooz Heidari, AbdolMajid Valipour, Tahereh Rahdari, Sorour Ramezanpour, Mahvash Hadavi, S Mohsen Asghari

“…These findings highlight the potential of ghrelin, particularly when delivered through alginate-chitosan nanocapsules, as a promising tool to promote growth and physiological health in juvenile fish. …”
Get full text

Improving national-scale breeding bird surveys with integrated distance sampling by Jean Nabias, Romain Lorrillière, Jérémy Dupuy, Laurent Couzi, Luc Barbaro

“…Integrated models represent a promising tool for ecological science, permitting the joint use of large unstructured datasets with scale-restricted structured surveys.…”
Get full text

Time discretization sensitivity analysis for a rod ejection transient scenario in a generic SMR concept using Serpent/SUBCHANFLOW by Huaccho Gianfranco, Sánchez-Espinoza Victor Hugo, Mercatali Luigi

“…This paper analyses a control rod ejection transient scenario in a generic SMR concept using the multi-physics coupling tool which includes the Monte Carlo Serpent code (developed at VTT, Finland) and the subchannel thermal-hydraulic code SUBCHANFLOW (developed at KIT, Germany). …”
Get full text

Online Outlier Detection for Time-varying Time Series on Improved ARHMM in Geological Mineral Grade Analysis Process by Jianjun Zhao, Junwu Zhoub, Weixing Su, Fang Liu

“…The algorithm utilizes AR model to fit the time series obtained from “Online x - ray Fluorescent Mineral Analyzer” and makes use of HMM as a basic detection tool, which can avoid the deficiency of presetting the threshold in traditional detection methods. …”
Get full text

Investigating the hydrogen renaissance in the global energy transition with AI integration by Abderrahim Lakhouit

“…Artificial intelligence (AI) emerges as a transformative tool to accelerate the hydrogen renaissance within the energy transition by addressing these barriers. …”
Get full text

A new nuclear marker for quantitative analysis of wild boar and domestic pig meat in game meat products using PLAG1 zinc finger gene by Bukola M. Adenuga, Anita Spychaj, Magdalena Montowska

“…The developed method can serve as a valuable tool for ensuring label compliance, preventing food fraud, and upholding halal specifications in the game meat industry.…”
Get full text

A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

“…The initial dataset comprised over 100 parameters per patient, which was reduced to 48 clinically accessible features to ensure applicability in routine outpatient settings. …”
Get full text