Storage and Processing Working Memory Functions in Alzheimer-Type Dementia by T. Vecchi, V. Saveriano, L. Paciaroni

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AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples by Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Lee Sael, Sun Kim, Sungroh Yoon, Daehyun Baek

“…A deep learning model named AIVariant, trained on this extended dataset, outperforms previously reported methods when tested under various tumor purities and sequencing depths, especially low tumor purity and sequencing depth.…”
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Game, set and message by Charl Durand Charl Durand

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Non-Foster Matching Circuit Design via Tunable Inductor for VLF Receive Loop Antennas by Yalong Yan, Chao Liu, Huaning Wu, Yinghui Dong

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Investigation of Nonlinear Vibrational Analysis of Circular Sector Oscillator by Using Cascade Learning by Naveed Ahmad Khan, Muhammad Sulaiman, Jamel Seidu, Fahad Sameer Alshammari

“…The BLM algorithm further interprets the dataset with log-sigmoid as an activation function for the solutions’ validation, testing, and training. …”
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The Development and Validation of the Adolescent Problematic Gaming Scale (PGS-Adolescent) by Zhanni Luo, Jiayan Xie

“…Following established scientific protocols, we developed an initial version of the PGS-Adolescent scale and validated it using data from 448 valid survey responses collected from adolescents in China. The dataset was split into two parts: 225 responses were allocated for exploratory factor analysis (EFA), and 223 for confirmatory factor analysis (CFA). …”
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A Heterogeneous Branching Process with Immigration Modeling for COVID-19 Spreading in Local Communities in China by Lin Zhang, Haochen Wang, Zhongyang Liu, Xiao Fan Liu, Xin Feng, Ye Wu

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TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images by Igor Stępień

“…TIQA-MRI supports the development, testing, and evaluation of MR-IQA techniques through a collection of objective IQA methods and a curated dataset of MR images with subjective scores, facilitating comprehensive quality assessment. …”
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Learning Spatial-Temporal Features of Ride-Hailing Services with Fusion Convolutional Networks by Dapeng Zhang, Feng Xiao, Gang Kou, Jian Luo, Fan Yang

“…We evaluate the proposed model on a real dataset from a ride-hailing service platform (DiDi Chuxing) and observe significant improvements compared with a bunch of baseline models. …”
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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…The study preprocessed the Pima Indians Diabetes (PID) dataset, and the models were trained on it before being assessed using four assessment criteria. …”
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Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. by Nouman Butt, Muhammad Munwar Iqbal, Shabana Ramzan, Ali Raza, Laith Abualigah, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Experimental results on a citrus leaves dataset show an impressive 99.6% classification accuracy. …”
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Dilated SE-DenseNet for brain tumor MRI classification by Yuannong Mao, Jiwook Kim, Lena Podina, Mohammad Kohandel

“…Our model, trained and evaluated on a comprehensive Kaggle brain tumor dataset, demonstrated superior performance over established convolution-based and transformer-based models: ResNet-101, VGG-19, original DenseNet-121, MobileNet-V2, ViT-L/16, and Swin-B across key metrics: F1-score, accuracy, precision, and recall. …”
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A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images by Varun Srivastava, Ravindra Kumar Purwar

“…The proposed algorithm has been found better up to 3.3%, 12.75%, and 13.75% on average over the first, second, and third algorithm, respectively, using KNN and up to 6.22%, 13.9%, and 14.1% on average using ANN. The dataset used for comparison consisted of CT Scan images of lungs and MR images of heart as obtained from different sources.…”
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Development of a novel physics-informed machine learning model for advanced thermochemical waste conversion by Surika van Wyk

“…A physics-informed machine learning (ML) model, which incorporates the conservation of carbon mass, was developed to predict the product gas yield and composition for indirect gasification of waste in a fluidized bed. A dataset was compiled from experimental data of an in-house reactor, encompassing a wide range of feedstocks characteristics (biomass to plastics) and process conditions, which served as input for the model. …”
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Study of Suspension Parameters Matching to Enhance Vehicle Ride Comfort on Bump Road by Jin Gao, Xiaoping Qi

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Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

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Simulation of duplicate tooling consumption at aircraft manufacturing enterprises by V. A. Vdovin, O. A. Afanasieva

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Towards the Development of a Cloud Computing Intrusion Detection Framework Using an Ensemble Hybrid Feature Selection Approach by Noah Oghenefego Ogwara, Krassie Petrova, Mee Loong Yang

“…Experiments were carried out using the NSL KDD dataset. The binary model achieved a classification accuracy of 99.55% with a very low false alarm rate of 0.45%. …”
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THE IMPACT OF BOARD STRUCTURE ON FINANCIAL LEVERAGE OF VIETNAMESE LISTED FIRMS by Hoàng Mai Phương, Nguyễn Thanh Hồng Ân

“…This study examines the impact of board structure on financial leverage decisions, as measured by the ratio of total debt to total assets, of nonfinancial firms listed on the Ho Chi Minh City Stock Exchange. Based on a dataset of 1,592 observations collected from 199 firms for the period from 2012 to 2019, the analysis shows a correlation between board characteristics and a firm’s financial leverage. …”
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Impaired Visual Motor Coordination in Obese Adults by David Gaul, Arimin Mat, Donal O’Shea, Johann Issartel

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