Experience in Using Low-Dose Computed Tomography in Children and Adolescents with Pulmonary Tuberculosis by I. Yu. Petrakova, S. G. Mikhaylov, I. Е. Tyurin, M. F. Gubkina, M. Yu. Izmaylov

“…The design of the study, which included patients aged 2–17 years with active pulmonary TB and post-TB changes treated in Central Tuberculosis Research Institute in 2021–2023, consisted of two parts as follows: part 1 (a prospective selective study) – independent assessment of LDCT vs standard-dose CT (SDCT) diagnostic accuracy by two radiologists in 44 patients with TB process stabilization; part 2 – cohort one-time assessment of LDCT image quality in 144 patients at different phases of TB treatment. LDCT was performed on the Somatom Emotion 16 CT scanner (Siemens, Germany) by filtered backprojection algorithm; SDCT was conducted on the Somatom go.Up CT scanner by iterative reconstruction algorithm. …”
Get full text

AzSLD: Azerbaijani sign language dataset for fingerspelling, word, and sentence translation with baseline softwareZenodo by Nigar Alishzade, Jamaladdin Hasanov

“…This approach enables robust training and evaluation of gesture recognition algorithms. The dataset comprises 30,000 meticulously annotated videos, each labeled with precise gesture identifiers and corresponding linguistic translations. …”
Get full text

Tree Slicing in Clone Detection: Syntactic Analysis Made (Semi)-Semantic by Marat Akhin, Vladimir Itsykson

“…We propose to reinforce traditional tree-based clone detection algorithms by using additional information about variable slices. …”
Get full text

Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…The current review systematically examines RL-based control strategies applied in BEMS frameworks integrating RES technologies between 2015 and 2025, classifying them by algorithmic approach and evaluating the role of multi-agent and hybrid methods in improving real-time adaptability and occupant comfort. …”
Get full text

Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…This study’s summarization algorithm was tested using the CNN, XSum and BBC Summarization datasets, which aggregate documents from different areas. …”
Get full text

Computational approaches for structural analysis of wood specimens by Chakkour Tarik

“…The proposed approach is evaluated qualitatively and quantitatively using different two-dimensional/three-dimensional wood image types. …”
Get full text

Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…To retain the original network’s performance as much as possible, we combine population evolution and ant colony algorithms for dynamic search processes to automatically find efficient sparse sub-networks. …”
Get full text

Monitoring the Landscape Changes Applying Gradient Analysis Case Study (County Behbehan) by Mir Mehrdad Mirsanjari, Fatemeh Mohammadyari

“…In order to evaluate the socioeconomic and ecological functions of a city, it is essential to quantify the pattern of the land. …”
Get full text

Psoas muscle CT radiomics-based machine learning models to predict response to infliximab in patients with Crohn’s disease by Zhuoyan Chen, Weimin Cai, Yuanhang He, Tianhao Mei, Yuxuan Zhang, Shiyu Li, Yiwen Hong, Yuhao Chen, Huiya Ying, Yuan Zeng, Fujun Yu

“…Z score standardization and independent sample t test were applied to identify optimal predictive features, which were then utilized in seven ML algorithms for training and validation. Model performance was assessed through receiver-operating characteristic curves, precision–recall curves, and calibration curve analyses, evaluating accuracy and clinical applicability. …”
Get full text

Explorative Binary Gray Wolf Optimizer with Quadratic Interpolation for Feature Selection by Yijie Zhang, Yuhang Cai

“…Finally, a novel transfer function processes feature information differently at various stages, enabling the algorithm to search and optimize effectively in the binary space, thereby selecting the optimal feature subset. …”
Get full text

Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data by Guocheng Qin, Yin Zhou, Kaixin Hu, Daguang Han, Chunli Ying

“…Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. …”
Get full text

Single-Cell Analysis Reveals Aspirin Restores Intervertebral Disc Integrity via Ferroptosis Regulation by Niu H, Qi H, Zhang P, Meng H, Liu N, Zhang D

“…Subtype identification, differential expression analysis, enrichment analysis, and cell proportion analysis were conducted to explore functional alterations in various nucleus pulposus cell (NPC) subpopulations. …”
Get full text

Fake News Detection Using Machine Learning Ensemble Methods by Iftikhar Ahmad, Muhammad Yousaf, Suhail Yousaf, Muhammad Ovais Ahmad

“…By using those properties, we train a combination of different machine learning algorithms using various ensemble methods and evaluate their performance on 4 real world datasets. …”
Get full text

Finding White Dwarfs’ Hidden Companions Using an Unsupervised Machine Learning Technique by Xabier Pérez-Couto, Minia Manteiga, Eva Villaver

“…White dwarfs (WD) with main-sequence (MS) companions are crucial probes of stellar evolution. However, due to the significant difference in their luminosities, the WD is often outshined by the MS star. …”
Get full text

Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. by Roland F Schwarz, Charlotte K Y Ng, Susanna L Cooke, Scott Newman, Jillian Temple, Anna M Piskorz, Davina Gale, Karen Sayal, Muhammed Murtaza, Peter J Baldwin, Nitzan Rosenfeld, Helena M Earl, Evis Sala, Mercedes Jimenez-Linan, Christine A Parkinson, Florian Markowetz, James D Brenton

“…The objective of this study was to determine whether intra-tumour genetic heterogeneity resulting from clonal evolution and the emergence of subclonal tumour populations in HGSOC was associated with the development of resistant disease.…”
Get full text

Application of the LDA model to identify topics in telemedicine conversations on the X social network by Mario Sierra Martín, Fang-Wei Chen, Pilar Alarcón Urbistondo

“…Abstract The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is the case for the health sector. …”
Get full text

Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing by Beatriz A. Rivera-Aguilar, Erik Cuevas, Alberto Luque-Chang, Jesús López, Marco Pérez-Cisneros

“…The effectiveness and high performance of the proposed method are evaluated by a variety of experiments conducted on different image datasets using different quality indexes. …”
Get full text

Controller Design for Temperature Regulation in a Nonlinear Industrial Heat Exchanger System by Reddy Vakiti Srilatha, Subhadra Harivardhagini, Prananvanand S., Juliet A. Vimala, Ramesh Gopisetty

“…MATLAB is used to implement the control algorithm, allowing real-time monitoring of the system’s input and output for different setpoints. …”
Get full text

Wavenumber Processing Techniques to Determine Structural Intensity and Its Divergence from Optical Measurements without Leakage Effects by Jean-Claude Pascal, Jing-Fang Li, Xavier Carniel

“…In this paper, a new algorithm -- mirror processing, is developed. By the use of vibrating velocity measured from the technique of laser scanning vibrometry, the structural intensity, its divergence and the force distribution are evaluated by different techniques of wavenumber processing. …”
Get full text

Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. by Daniel U Campos-Delgado, Omar Gutierrez-Navarro, Ricardo Salinas-Martinez, Elvis Duran, Aldo R Mejia-Rodriguez, Miguel J Velazquez-Duran, Javier A Jo

“…The deconvolution process is a key step for quantitative evaluation of fluorescence lifetime imaging microscopy (FLIM) samples. …”
Get full text