Machine Learning-Based Prediction Model for Multidrug-Resistant Organisms Infections: Performance Evaluation and Interpretability Analysis by Zhao W, Sun P, Li W, Shang L

“…This study evaluated an interpretable machine learning model incorporating SHapley Additive exPlanations (SHAP) to predict MDRO infections in ICU patients.Methods: A retrospective cohort study was conducted on 888 ICU patients (2020– 2022) from a tertiary hospital in China. …”
Get full text

Bibliometric Analysis of microRNA: A Comprehensive Evaluation of Its Contribution to Acute Coronary Syndromes by Gao Y, Li T, Mu X, Ren X, Wang J, Fan J, Zhu H, Wang X

“…By analyzing global publications, we aim to highlight hotspots and translational directions for advancing miRNA applications in ACS diagnosis and therapy.Materials and Methods: Articles on miRNA and ACS published between 2007 and 2023 were retrieved from the Web of Science Core Collection. …”
Get full text

Numerical and experimental study of high-temperature multi-cycle fatigue strength of single-crystal gas turbine blades by Yevhen Nemanezhyn

“…The research methods used are: method of computer modelling, which was used to create a 3D model of a cooled high-pressure turbine blade; finite element method, which was used to determine the stress-strain state of the blade according to the selected form of resonant vibrations; strain and resonance methods, which were used to determine the fatigue strength characteristics of single-crystal turbine blades under high-temperature loading. …”
Get full text

DWT-SVD Based Watermarking for High-Resolution Medical Holographic Images by Fahrettin Horasan, Muhammed Ali Pala, Ali Durdu, Akif Akgül, Ömer Faruk Akmeşe, Mustafa Zahid Yıldız

“…Finding the optimal location to hide the watermarking is one of the most challenging tasks in these methods and affects the method’s performance. In this article, sample identification information is processed with the method of watermaking on the hiding environment created by using a chaos-based random number generator on biomedical data to provide solutions to problems such as visual attack, identity theft, and information confusion. …”
Get full text

Techniczny, epistemologiczny i kulturowy wymiar metod kształcenia. Casus metody Montessori by Jarosław Jendza, Ewa Zalewska, Piotr Zamojski

“…We perceive them as equally important in the process of (re)creating and using any educational method. …”
Get full text

Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection by Ryosuke Matsuo, Shinya Yasuda, Hiroshi Yoshida

Get full text

Data structures for deductive simulation of HDL conditional operators by Yevhenii Shovkovyi, Olena Grinyova, Serhii Udovenko, Larysa Chala

“…The subject of research is methods of automated sign language translation using intelligent technologies. …”
Get full text

Medical Image Classification Algorithm Based on Weight Initialization-Sliding Window Fusion Convolutional Neural Network by Feng-Ping An

“…Therefore, this paper starts from the perspective of network optimization and improves the nonlinear modeling ability of the network through optimization methods. A new network weight initialization method is proposed, which alleviates the problem that existing deep learning model initialization is limited by the type of the nonlinear unit adopted and increases the potential of the neural network to handle different visual tasks. …”
Get full text

A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
Get full text

Smart grid stability prediction using Adaptive Aquila Optimizer and ensemble stacked BiLSTM by Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, Mohammed Gamal Ragab, Alawi Alqushaibi, Ebrahim Hamid Sumiea

“…It is utilized for feature selection by identifying and excluding irrelevant and redundant features and methodically evaluates seven key hyperparameters to fine-tune the model's performance. …”
Get full text

Development and Validation of Machine Learning Models for Outcome Prediction in Patients with Poor-Grade Aneurysmal Subarachnoid Hemorrhage Following Endovascular Treatment by Du S, Wu Y, Tao J, Shu L, Yan T, Xiao B, Lv S, Ye M, Gong Y, Zhu X, Hu P, Wu M

“…We further use Shapley Additive Explanations (SHAP) methods for the distribution of feature visualization based on the optimal models.Results: A total of 226 eligible patients with poor-grade aSAH undergoing EVT were enrolled, while 89 (39.4%) has a poor 12-month outcome. …”
Get full text

Joint User-Centric Clustering and Pilot Allocation for Scalable Cell-Free Massive MIMO System by Irma Zakia, Muhammad Brata

“…Furthermore, when the number of APs equals UEs, the complexity of the scalable method is linear in the number of UEs, as opposed to the polynomial complexity of the graph-coloring method.…”
Get full text

A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data by Haichao Wang, Paulius D. Mennea, Yu Kiu Elkie Chan, Zhao Cheng, Maria C. Neofytou, Arif Anwer Surani, Aadhitthya Vijayaraghavan, Emma-Jane Ditter, Richard Bowers, Matthew D. Eldridge, Dmitry S. Shcherbo, Christopher G. Smith, Florian Markowetz, Wendy N. Cooper, Tommy Kaplan, Nitzan Rosenfeld, Hui Zhao

“…Our results clarify the variations from library preparation and feature quantification methods. We design the Trim Align Pipeline and cfDNAPro R package as unified interfaces for data pre-processing, feature extraction, and visualization to standardize multi-modal feature engineering and integration for machine learning.…”
Get full text

Optimized dual NURBS curve interpolation for high-accuracy five-axis CNC path planning by Yi Xu, Mohd Hairi Mohd Zaman, Feng Zhou

“…The results indicate that the maximum chord error of the dual NURBS method on the Spiral Surface is only 0.0006 mm, with an average error of 0.0004 mm, significantly lower than traditional OC methods (0.01876 mm) and equal chord length interpolation (0.01532 mm). …”
Get full text

Bacterial Keratitis. Part 2. Topical Aspects of Treatment by O. V. Shilovskikh, V. O. Ponomarev, V. N. Kazaykin, K. A. Tkachenko

“…Autoconjunctival keratoplasty is the oldest method of treatment of progressive corneal ulcers and this method should be considered rather as temporary or preparatory before through keratoplasty, due to the lack of visual functions. …”
Get full text

Enhancing Adversarial Defense via Brain Activity Integration Without Adversarial Examples by Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama

“…These methods also lead to a trade-off between robustness to adversarial examples and accuracy for clean images. …”
Get full text

In Vivo Reflectance Confocal Microscopy Applied to Acral Melanocytic Lesions: A Systematic Review of the Literature by Camilla Chello, Simone Cappilli, Luca Pellegrino, Simone Michelini, Gerardo Palmisano, Giuseppe Gemma, Marisa Salvi, Carmen Cantisani, Alessandro Di Stefani, Ketty Peris, Giovanni Pellacani

“…The aim of this review is to explore the applicability of RCM for the diagnosis of nevi and melanoma on the acral sites. <b>Methods</b>: Study selection was conducted based on the application of RCM for acral melanocytic lesions. …”
Get full text

Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…In image processing, particularly in medical imaging like MRI, noise reduction is vital for improving visual quality and accurate analysis. While existing methods offer noise reduction, they often suffer from limitations like edge and texture loss, poor smoothness, and the need for manual parameter tuning.MethodsThis study introduces a novel adaptive wavelet thresholding technique for noise reduction in brain MRI. …”
Get full text

WEGAN: a web-based community ecology platform by Gina P. Sykes, Gina P. Sykes, Louisa Normington, Jenna Poelzer, Shiyang Zhao, Dana Allen, Samuel Stuart, Eponine Oler, Komal Jot, Vasuk Gautam, Xin Zhao, Jianguo Xia, Glen C. Jickling, David S. Wishart, David S. Wishart, David S. Wishart, David S. Wishart

“…Specifically, WEGAN provides a wide range of community ecology methods to support the analysis and visualization of trends in dispersal, diversity, and taxonomy as well as univariate and multivariate statistics for clustering, classification, correlation, and ordination analysis. …”
Get full text

Comparative Antimicrobial Activity of Silver Nanoparticles Synthesized by Corynebacterium glutamicum and Plant Extracts by Mohammad et al.

“…As a result, in the present study Ag NPs were synthesized by two methods biosynthetic technique using supernatant of Corynebacterium glutamicum that isolated from soil and green synthesis method by using plant extracts of fresh green plants.Ag NPs which synthesized by two methods were investigated visually by monitoring the color shift of reaction mixture from pale yellow to brown color, UV-Visible spectrophotometer was used to measure maximum absorbance of synthesized Ag NPs. …”
Get full text