Effect of Dry Aging on Beef Muscle Proteins by Galina V. Gurinovich, Irina S. Patrakova, Vladislav A. Khrenov, Marina V. Patshina, Antonina I. Shevchenko

“…Long-term dry aging is a promising method that presupposes conditions that limit the growth of microorganisms. …”
Get full text

Heat and Mass Transfer of Boundary Layer Jeffrey Ternary Hybrid Nanofluid Flow Over Porous Wedge With Surface-Catalysed Chemical Reactions: An ANFIS Model by M. Shanmugapriya, A. S. Ashwinth Jeffrey, R. Sundareswaran

“…Initially, the mathematically modelled partial differential equations (PDEs) are solved numerically by the help of the shooting method. The suitable nondimensional similarity transformations are implied to convert the dimensional PDEs to nondimensional ordinary differential equations (ODEs). …”
Get full text

MBFE-UNet: A Multi-Branch Feature Extraction UNet with Temporal Cross Attention for Radar Echo Extrapolation by Huantong Geng, Han Zhao, Zhanpeng Shi, Fangli Wu, Liangchao Geng, Kefei Ma

“…However, traditional echo extrapolation methods fail to fully utilize historical radar echo data, resulting in limited accuracy for future radar echo prediction. …”
Get full text

Studying the thermal condition of an automated 6 (10) Kv electric power fiscal metering location by E. E. Gotovkina, A. A. Yablokov, N. N. Smirnov, A. V. Panashatenko, V. D. Lebedev, O. A. Dobryagina

Get full text

EyeGPT for Patient Inquiries and Medical Education: Development and Validation of an Ophthalmology Large Language Model by Xiaolan Chen, Ziwei Zhao, Weiyi Zhang, Pusheng Xu, Yue Wu, Mingpu Xu, Le Gao, Yinwen Li, Xianwen Shang, Danli Shi, Mingguang He

“…ObjectiveThis study aims to enhance ophthalmic knowledge by refining a general LLM into an ophthalmology-specialized assistant for patient inquiries and medical education. MethodsWe transformed Llama2 into an ophthalmology-specialized LLM, termed EyeGPT, through the following 3 strategies: prompt engineering for role-playing, fine-tuning with publicly available data sets filtered for eye-specific terminology (83,919 samples), and retrieval-augmented generation leveraging a medical database and 14 ophthalmology textbooks. …”
Get full text

Enhancing e-learning through AI: advanced techniques for optimizing student performance by Rund Mahafdah, Seifeddine Bouallegue, Ridha Bouallegue

“…The integration of Artificial Intelligence (AI) into e-learning has transformed conventional educational approaches, improving the learning process and maximizing student achievement. …”
Get full text

Assessing the Impact of Healthcare 4.0 Technologies on Healthcare Supply Chain Management: A Multi-Criteria Evaluation Framework by Ayoninuoluwa Oluwadare, Busola Dorcas Akintayo, Olubayo Moses Babatunde, Oludolapo Akanni Olanrewaju

“…<i>Methods</i>: This study introduces a multi-criteria framework that synergically combines the techno-economic implications of Healthcare 4.0 technologies to improve healthcare supply chain management. …”
Get full text

Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning by Zhaozhi Luo, Janne Heiskanen, Xinyu Wang, Yanfei Zhong, Petri Pellikka

“…However, the existing supervised learning based denoising methods often show poor generalizability on data with complex degradation, due to the discrepancy between synthetic training data and real data. …”
Get full text

Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

“…Deep learning algorithms, such as convolutional neural networks (CNNs), are primarily used for AI-powered insect pest identification by categorizing insects based on their visual features through image-based classification methodology. These methods have revolutionized insect identification by analyzing large databases of insect images and identifying distinct patterns and features linked to different species. …”
Get full text

Investigating the Key Trends in Applying Artificial Intelligence to Health Technologies: A Scoping Review. by Tawil Samah, Merhi Samar

“…<h4>Methods</h4>The review included 68 academic studies retracted from different databases (WOS, Scopus and Pubmed) from January 2020 and April 2024. …”
Get full text

Research on the Causes of the Concave Shapes of Traditional Chinese Building Roofs from the Construction Perspective by Xiang Chen, Chenyuan Wang, Jie Sun, Weijie Xia

“…Through a systematic review of historical literature (especially Yingzao fashi (Treatise on Architectural Methods)); the empirical investigation and analysis of typical architectural examples; detailed research on the structural practices, material properties (especially the creep behavior of timber), and construction techniques of key timber components such as flying rafters, hip rafters, and rafters; and mechanical principles and computational simulation, this study found that the concave curved forms of different parts of the roof, such as the eaves (flying rafters), corners (corner upturn), and main body (Ju zhe), are not purely esthetic choices but are, to a large extent, technical responses or inevitable results stemming from objective construction constraints of the time, including limitations on timber length, component connection methods, structural load distribution, and long-term deformation. …”
Get full text

An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning by Tao Wang, Bo Shen

“…Additionally, many existing methods derive edge representations through random initialization or linear transformations, which do not adequately reflect relational semantics and adjacent node information, resulting in ineffective edge representations.To address these limitations, we propose the Edge Enhancement GNN model with Node Discrimination (NDEE-GNN). …”
Get full text

Power Plants Based on a Steam Drive with a Working Body Closed Circulation by V. A. Mayorov, V. F. Shcherbakov

“…It was proved that these calculation methods and characteristics determined the structural and energy parameters of the developed power plants based on a steam engine.…”
Get full text

DAM-Net: Domain Adaptation Network With Microlabeled Fine-Tuning for Change Detection by Hongjia Chen, Xin Xu, Fangling Pu

“…While deep learning approaches have significantly advanced CD performance, current methods suffer from poor domain adaptability, requiring extensive labeled data for retraining when applied to new scenarios. …”
Get full text

Sociotechnical Adaptation of Telerehabilitation in Rehabilitation Practice: Survey Among Rehabilitation Professionals by Tuija Partanen, Riitta Seppänen-Järvelä, Sinikka Hiekkala, Jari Lindh

“… Abstract BackgroundBoth rehabilitation practice and rehabilitation professionals’ work have been transformed by the adoption of different technological solutions. …”
Get full text

INFLUENCE OF NON-STEROIDAL ANTI-INFLAMMATORY EYE DROPS ON THE EPITHELIUM CELLS OF THE CORNEA AND CONJUNCTIVA IN VITRO by O. I. Aleksandrova, I. N. Okolov, Yu. I. Khorolskaya, I. E. Panovа, M. I. Blinova

“…Materials and methods. The object of the study was four of the drug Broxinac®, Acular LS®, Diclo-F ®, Indocollyre®. …”
Get full text

Evaluation of psychological indicators of pedagogical conservatism of university teachers by I.B. Avakyan

“…</strong> The set of psychological indicators positively correlates with the level of pedagogical conservatism of university teachers. <strong>Methods and materials. </strong>The study involved 1754 university teachers in the humanities, socio-economic and technical fields (M = 42,3; SD = 8,7). …”
Get full text

LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…However, in the presence of targets with high aspect ratios and significant scale variations in remotely sensed images, existing methods prefer CNN or transformer architectures but suffer from the limitations of overly fixed receptive fields or excessive computational complexity. …”
Get full text

Feature Enhanced Spatial–Temporal Trajectory Similarity Computation by Silin Zhou, Chengrui Huang, Yuntao Wen, Lisi Chen

“…In this paper, we study trajectory similarity computation on the road network. However, existing methods have been designed primarily for road network trajectories with spatial information, while ignoring the important temporal information in the real world. …”
Get full text

Innovative machine learning approaches for complexity in economic forecasting and SME growth: A comprehensive review by Mustafa I. Al-Karkhi, Grzegorz Rza̧dkowski

“…Specifically, the findings highlight that the integration of ensemble methods and deep learning models has achieved significant improvements in prediction accuracy, while interpretability tools such as SHAP and LIME enhance transparency and user trust. …”
Get full text