Optimization of a 12.5 GHz Microstrip Antenna Array Using Taguchi's Method by M. Spasos, R. Nilavalan, K. Tsiakmakis, N. Charalampidis, S. W. Cheung

Get full text

Assessing Reliability for Quantifying Social Interactions among Crayfish by Lee Ann Smith, Jeremy Nadolski, Grace Jacobs, Jodi M. Ogle, Madhusudan P. Srinivasan, Hannah N. Tanner, Elizabeth R. Steele, Nicole T. Marguerite, Sonya Bierbower, Slane Steen, Isaac Easterling, Abigail Greenhalgh, Cecilia Pankau, Shelby McCubbin, Brad Behymer, Robin L. Cooper

Get full text

Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN by Savitri Kulkarni, P. Deepa Shenoy, K.R. Venugopal

Get full text

Fecal microbiome analysis in patients with metabolic syndrome and type 2 diabetes by Laura Isabel Sinisterra Loaiza, Diego Fernández-Edreira, Jose Liñares-Blanco, Alberto Cepeda, Alejandra Cardelle-Cobas, Carlos Fernandez-Lozano

Get full text

RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5 by Pan Li, Jitao Zhou, Huihui Sun, Jian Zeng

“…The model is trained and evaluated utilizing a comprehensive dataset of 5930 field-collected and augmented sample images comprising four prevalent rice leaf diseases: bacterial blight, leaf blast, brown spot, and tungro. …”
Get full text

Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

“…Data extraction targeted the methodological, epidemiological, and computational characteristics of ABMs used for TB transmission. …”
Get full text

Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…Recent advances in large language models (LLMs) provide an opportunity to generate synthetic data with reduced reliance on domain expertise, computational resources, and pre-training.ObjectiveThis study aims to assess the feasibility of generating realistic tabular clinical data with OpenAI’s GPT-4o using zero-shot prompting, and evaluate the fidelity of LLM-generated data by comparing its statistical properties to the Vital Signs DataBase (VitalDB), a real-world open-source perioperative dataset.MethodsIn Phase 1, GPT-4o was prompted to generate a dataset with qualitative descriptions of 13 clinical parameters. …”
Get full text

AUV path planning method based on improved sparrow search algorithm by Lijun TANG, Yunxia FAN, Xingyu ZHOU, Qian SUN

“…First, a vector analysis method is developed to evaluate interval responses, allowing the algorithm to effectively handle uncertainties in ocean currents. …”
Get full text

Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…Integrating rumen microbiome composition (RMC) data may improve genomic prediction accuracy, yet the high dimensionality of RMC data presents computational challenges. This study aimed to (1) evaluate the effectiveness of principal component analysis (PCA) for reducing RMC data dimensionality while retaining essential information, and (2) assess whether incorporating PCA-reduced RMC data as intermediate traits in a Neural Network Genomic Best Linear Unbiased Prediction (NN-GBLUP) model improves genomic prediction accuracy for methane emissions and feed efficiency traits in sheep. …”
Get full text

Methodology for Determining the Probability of Damage to UAV as a Result of Exposure to Atmospheric Environmental Factors by D. G. Belonozhko, I. D. Korolev, Yu. O. Chernyshev, N. N. Ventsov

“…It takes into account possible atmospheric forcing and enables to determine the probability of damage to the UAV under various atmospheric influences. The computational complexity of the algorithm implementing the technique depends significantly on the number of qualitative assessments of atmospheric impacts on UAV.Results. …”
Get full text

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study by Meshari F Alwashmi, Mustafa Alghali, AlAnoud AlMogbel, Abdullah Abdulaziz Alwabel, Abdulaziz S Alhomod, Ibrahim Almaghlouth, Mohamad-Hani Temsah, Amr Jamal

“…All collected data, including thermal images and questionnaire responses, were stored on a password-protected computer to ensure confidentiality and data integrity. …”
Get full text

Machine Learning in Cyber-Physical Systems and Manufacturing Singularity – it Does Not Mean Total Automation, Human Is Still in the Centre: Part I – Manufacturing Singularity and a... by Goran D. PUTNIK, Vaibhav SHAH, Zlata PUTNIK, Luis FERREIRA

“…The methodology to support this argument is inductive, similarly to the methodology applied in a number of texts found in literature, and based on computational requirements of inductive inference based machine learning. …”
Get full text

Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…ObjectiveThree-dimensional (3D) slope reliability analysis encounters two primary challenges: (1) the stochastic modeling of soil properties involves intricate spatial variability, necessitating extensive data processing and imposing prohibitive computational burdens; and (2) brute-force trial-and-error methods for locating critical failure surfaces are computationally inefficient, impeding real-world implementation despite the imperative for precise stability evaluations in civil infrastructure. …”
Get full text

Progression and prognostic significance of electrocardiographic findings in patients with cardiac amyloidosis by Alessia Argirò, Mattia Zampieri, Carlotta Mazzoni, Carlo Fumagalli, Michela Baccini, Alessandra Mattei, Alberto Cipriani, Laura De Michieli, Aldostefano Porcari, Gianfranco Sinagra, Marco Merlo, Giacomo Tini, Beatrice Musumeci, Domitilla Russo, Pier Filippo Vianello, Marco Canepa, Roberto Licordari, Gianluca diBella, Claudio Rapezzi, Federico Perfetto, Francesco Cappelli

Get full text

Improvements in upper extremity isometric muscle strength, dexterity, and self-care independence during the sub-acute phase of stroke recovery: an observational study on the effect... by Řasová K., Řasová K., Martinková P., Vařejková M., Miznerova B., Miznerova B., Hlinovská J., Hlinovský D., Iskendri D., Lebdušková L., Vojíková R., Zakouřilová J., Běhounek J., Musil V., Philipp T.

Get full text

Influence of palm oil ash and palm oil clinker on the properties of lightweight concrete by Bayagoob Khaled H., Zeyad Abdullah M., Amin Mohamed, Agwa Ibrahim Saad, Abd-Elrahman Mahmoud H.

Get full text

A Hierarchical ViT With Dynamic Window Shift Unit and Curriculum Learning for Remote Sensing Image Scene Classification by Yi Liu, Xiang Wu, Jihuan Ren, Jiacun Wang, Yuming Bo, Yuanhao Wang

Get full text

Capacity Enhancement in Free-Space Optics Networks via Optimized Optical Code Division Multiple Access Image Transmission by Somia A. Abd El-Mottaleb, Mehtab Singh, Hassan Yousif Ahmed, Median Zeghid, Maisara Mohyeldin Gasim Mohamed

Get full text

UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English by Muhammad Ahmad, Humaira Farid, Iqra Ameer, Fida Ullah, Muhammad Muzamil, Muhammad Jalal, Ameer Hamza, Ildar Batyrshin, Grigori Sidorov

Get full text

Spermatozoa from male mice with infertility due to Odf4 deficiency can fertilize oocytes by in vitro fertilization by Chizuru Ito, Tohru Mutoh, Kiyotaka Toshimori

“…A sperm movement test was performed using a computer‐assisted sperm motility analysis system (SMAS). …”
Get full text