Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model by Fatema A. Albalooshi, M. R. Qader, Yasser Ismail, Wael Elmedany, Hesham Al-Ammal, Muttukrishnan Rajarajan, Vijayan K. Asari

“…The performance of the proposed method is evaluated on the CamVid dataset, which contains images with a wide range of object variations due to factors such as illumination changes, shadow presence, occlusion, scale differences, and cluttered backgrounds. …”
Get full text

Evidence of compensatory neural hyperactivity in a subgroup of breast cancer survivors treated with chemotherapy and its association with brain aging by Michele M. Mulholland, Alexa Stuifbergen, Alexa De La Torre Schutz, Oscar Y. Franco Rocha, Douglas W. Blayney, Shelli R. Kesler

“…We also calculated the brain age gap by applying a previously validated algorithm to anatomic MRI.ResultsWe found that neural activity differed across the three CRCI biotypes and controls (F = 13.5, p < 0.001), with Biotype 2 demonstrating significant hyperactivity compared to the other groups (p < 0.004, corrected), primarily in prefrontal regions. …”
Get full text

Breast Tumor-Like-Masses Segmentation From Scattering Images Obtained With an Ultrahigh-Sensitivity Talbot-Lau Interferometer Using Convolutional Neural Networks by Ionut-Cristian Ciobanu, Nicoleta Safca, Elena Anghel, Dan Popescu

“…Performance was evaluated based on accuracy, precision, specificity, recall, and F1-score. …”
Get full text

Towards a computer-assisted assessment of imitation in children with autism spectrum disorder based on a fine-grained analysis by Rujing Zhang, Jingying Chen, Xiaodi Liu, Yanling Gan, Guangshuai Wang

“…Then, three classic machine-learning algorithms were employed to explore whether the indicators could efficiently classify children with imitation difficulties. …”
Get full text

Metabolomic profiling and biomarker identification for early detection and therapeutic targeting of doxorubicin-induced cardiotoxicity by Jingjing Ding, Jingjing Ding, Xianzhen Feng, Zhongqing Xu, Hong Xu

“…Key metabolites were assessed using a random forest algorithm, and ROC curves evaluated diagnostic value. …”
Get full text

Iron status among blood donors deferred due to low haemoglobin level by Kovač Mirjana, Erić Bojana, Stojneva-Istatkov Jelena, Lukić Vojislav, Milić Ana, Vukićević Dragana, Orlić Dušan, Tomić Branko

“…Based on our results, the determination of the algorithm in the iron deficiency detection is necessary, while the capillary method (HemoCue) represents a more convenient method for Hb testing prior to blood donation.…”
Get full text

Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

“…Future research will address the development of scientific and practical proposals for improving the noise immunity of quadrature multi-position signals, including an algorithm and block diagram for compensating phase shifts introduced in communication channels; processing of the amplitude values of the signal, which assumes the difference in the paths in terms of frequency-polarization and determines the accuracy of eliminating phase distortions.…”
Get full text

Identifying characteristics of patients requiring proactive pharmaceutical interventions in the recovery period and assessing the effect of rehabilitation and drugs: a retrospectiv... by Megumi Yahara-Hotta, Tomoyuki Ogino, Kisako Higa, Moka Yamakawa, Toshiyuki Shikata, Yoshihiro Kanata, Kenji Ikeda, Atsushi Kinoshita

“…Decision tree analysis was performed using the four identified groups as objective variables and yielded eight nodes. The algorithm included length of hospital stay, sex, age, units of rehabilitation performed, and the MRCI-J score. …”
Get full text

On the Control of the Technical Condition of Elevator Ropes Based on Artificial Intelligence and Computer Vision Technology by A. V. Panfilov, A. R. Yusupov, A. A. Korotkiy, B. F. Ivanov

“…The malfunctions of the elevator mechanical equipment related to the defective indices of the ropes are listed. There is a difference in the documentary fixation of defective indices and rejection rates of ropes of lifting structures.   …”
Get full text

Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction by Katherine E. Kurgansky, Rachel Parker, Luc Djousse, David R. Gagnon, Jacob Joseph

“…We evaluated the effect of spironolactone use on all‐cause death and number of days hospitalized per year for heart failure or for any cause by fitting generalized estimating equation–based Poisson and negative binomial models. …”
Get full text

OPEN DUCTUS ARTERIOSUS IN PREMATURE INFANTS WITH EXTREMELY LOW AND VERY LOW BODY WEIGHT by Людмила Николаевна Игишева, Жанна Анатольевна Звягина, Елена Глебовна Цой, Андрей Владимирович Шабалдин, Тамара Михайловна Вакулова

“…The aim of the research – to identify significant factors affecting the postnatal functioning of PDA in premature infants with extremely low and very low body weight and to evaluate them from a manageability perspective. Materials and methods. …”
Get full text

Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…Advances in computation, algorithms, and data availability have popularized the use of machine learning to predict patient outcomes. …”
Get full text

Comparison of cardiovascular risk assessment protocols and achievement of risk factor targets in patients with type 2 diabetes by Hui Guo, Hui Guo, Hui Guo, Huizhen Wu, Huizhen Wu

“…ObjectiveCompare the differences in the 10-year cardiovascular risk assessment results for patients with type 2 diabetes among various guidelines, as well as the attainment of target levels for primary cardiovascular risk factors.MethodThis study is a retrospective, real-world study that included patients with type 2 diabetes who were hospitalized at the Second Affiliated Hospital of Hebei North University from August 2023 until October 2023.This study evaluated the 10-year cardiovascular risk in patients with type 2 diabetes, as well as the attainment of target levels for blood pressure, blood glucose, and lipid levels.ResultThis study included a total of 200 hospitalized patients with type 2 diabetes, with a median age of 62.5 (57, 67), among which 97 (48.5%)were male. …”
Get full text

Method for Determining Igneous Rock Mineral Content Using Element Logging Data Based on Variational AutoEncoder by JIA Ruilong, PAN Baozhi, WANG Qinghui, LI Yan, GUAN Yao, WANG Xinru

“…Igneous rocks exhibit significant variations in mineral content due to differences in magma types and the environment in which they solidify, and the skeleton parameters of different lithology are obviously different. …”
Get full text

Hybrid deep learning model for density and growth rate estimation on weed image dataset by Anand Muni Mishra, Mukund Pratap Singh, Prabhishek Singh, Manoj Diwakar, Indrajeet Gupta, Anchit Bijalwan

“…According to the experimental results, our proposed algorithms achieved the best accuracy of 98.95%. The evaluation of financial misfortunes and impact due to weeds in farming is a critical perspective of considering which makes a difference in formulating suitable management methodologies against weeds.…”
Get full text

A Comparative Study of Rhythmic Complexity Measures in Music Performance by Cihan Yaygın, Ozan Baysal, Yavuz Buruk, Barış Bozkurt

“…The results demonstrated varying degrees of alignment between different scales and expert predictions under different conditions. …”
Get full text

Prediction of volcanic fractures based on prestack azimuthal anisotropy: A case study of LFS area in southern Songliao Basin by LI Ning,MIAO He,CAO Kaifang

Get full text

Radiomic Feature Extraction Based on Computed Tomography for Stroke Patients by Alamgir Hossain, Jolly Sultana, Shahed Hossain, Hafizur Rahman

“…To improve diagnosis, classification, and prediction for the best possible patient outcomes, this study investigates how radiomics might improve computed tomography (CT)-based stroke evaluation. Methodology: The research included 65 stroke patients from our two institutions from 2023 to 2024. …”
Get full text

Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

“…This study examines the impact of various partitioning techniques on crime forecasting performance, comparing the traditional static division of the city into police districts with machine learning approaches, specifically density clustering algorithms, for detecting crime hotspots. The experimental evaluation, conducted on two real-world case studies, i.e. …”
Get full text

Probing the Pitfalls: Understanding SVD’s Shortcomings in Language Model Compression by Сергей Александрович Плетенев

“…Then, we applied low-rank factorization to its transformer layers using various singular value decomposition algorithms at different compression rates. After that, we used probing tasks to analyze the changes in the internal representations and linguistic knowledge of the compressed models. …”
Get full text