Evaluation Of Impulsivity Symptoms And Family Functioning In Adolescents Diagnosed With Obsessive Compulsive Disorder And Their Mothers by Gonca Ozyurt

Get full text

Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

“…By using and analyzing the Indian Diabetes PIMA dataset, this study seeks to discover the extent to which different parameters, especially the optimal value of K and distance metrics, affect the performance of the classifier. …”
Get full text

A Time-Aware CNN-Based Personalized Recommender System by Dan Yang, Jing Zhang, Sifeng Wang, XueDong Zhang

“…The experimental results on the MovieLens-1m real dataset show that the proposed TC-PR can effectively solve the cold-start problem and greatly improve the speed of data processing and the accuracy of recommendation.…”
Get full text

A metal-trap tests and refines blueprints to engineer cellular protein metalation with different elements by Sophie E. Clough, Tessa R. Young, Emma Tarrant, Andrew J. P. Scott, Peter T. Chivers, Arthur Glasfeld, Nigel J. Robinson

Get full text

Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases by Jie Zheng, George Davey Smith, Tom R Gaunt, Maria K Sobczyk

Get full text

Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

Get full text

DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer by Mohamed Touati, Rabeb Touati, Laurent Nana, Faouzi Benzarti, Sadok Ben Yahia

“…On a newly evaluated dataset, the model attained precision and recall scores of 96.93% and 98.89%, respectively, indicating a well-balanced handling of false positives and false negatives. …”
Get full text

A Follow-Up Risk Identification Model Based on Multi-Source Information Fusion by Shuwei Guo, Yunyu Bo, Jie Chen, Yanan Liu, Jiajia Chen, Huimin Ge

“…Using the SHRP2 natural driving dataset, this paper constructs a car-following risk identification model in two stages. …”
Get full text

Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

“…Results prove that our model can efficiently compress the answer space of open-ended tasks, improve the answer accuracy, and provide new state-of-the-art performance on the VQA-RAD dataset.…”
Get full text

Research on temperature detection method of liquor distilling pot feeding operation based on a compressed algorithm by Xiaolian LIU, Shaopeng Gong, Xiangxu Hua, Taotao Chen, Chunjiang Zhao

“…At the same time, in order to effectively reduce the occupancy of the computational resources and improve the deployment performance, this study established infrared image dataset of fermented grains surface, and fused the YOLO v5n and the knowledge distillation and the model pruning algorithms, and an lightweight method YOLO v5ns-DP was proposed as as a model for detecting temperature changes in the surface layer of fermented grains during the process of feeding the distilling. …”
Get full text

Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics by Abdul Razzaq, Touqeer Abbas, Sarfraz Hashim, Salman Qadri, Imran Mumtaz, Najia Saher, Muzammil Ul-Rehman, Faisal Shahzad, Syed Ali Nawaz

“…In this study, the Quarantine Life dataset of thousand tweets is based on #Quarantine, #Quarantine Days, #Quarantine Life, #My Pandemic Plan, and #Quarantine and Chill from January to September 2020 has been collected from Twitter. …”
Get full text

Accelerated failure model with empirical analysis and application to colon cancer data: Testing and validation by John Abonongo, Anuwoje Ida L. Abonongo, Abdussalam Aljadani, Mahmoud M. Mansour, Haitham M. Yousof

“…This new AFT model contributes to the repertoire of tools/models for analyzing survival datasets and offers an advantageous hazard-based regression approach.…”
Get full text

A New Class of Heavy-Tailed Distributions: Modeling and Simulating Actuarial Measures by Jin Zhao, Zubair Ahmad, Eisa Mahmoudi, E. H. Hafez, Marwa M. Mohie El-Din

“…Finally, an application to the insurance loss dataset is analyzed, which revealed that the proposed distribution is a superior model among the competitors and could potentially be very adequate in describing and modeling actuarial and financial data.…”
Get full text

Unexpected events trigger task-independent signaling in VIP and excitatory neurons of mouse visual cortex by Farzaneh Najafi, Simone Russo, Jérôme Lecoq

“…To test this hypothesis, we analyzed the Allen Institute Visual Behavior dataset, in which mice viewed repeated familiar images and unexpected omissions of these images, while two-photon calcium imaging was performed from distinct cell types across primary and higher-order visual areas. …”
Get full text

Sparse Representation-Based LDCT Image Quality Assessment Using the JND Model by Mo Shen, Rongrong Sun, Wen Ye

Get full text

Cost Savings and Reduced Health Care Utilization Associated with Participation in a Digital Diabetes Prevention Program in an Adult Workforce Population by Cynthia Castro Sweet, Carolyn Bradner Jasik, Amy Diebold, Ashley DuPuis, Bryan Jendretzke

Get full text

Information Processing Biases and Attachment Styles in Adolescents with Dissociative Disorders by Ritwika Nag, Nishant Goyal, Madhumita Bhattacharyya

Get full text

SEC-MX: an approach to systematically study the interplay between protein assembly states and phosphorylation by Ella Doron-Mandel, Benjamin J. Bokor, Yanzhe Ma, Lena A. Street, Lauren C. Tang, Ahmed A. Abdou, Neel H. Shah, George Rosenberger, Marko Jovanovic

“…Conducting SEC-MX on HEK293 and HCT116 cells, we generate a proof-of-concept dataset, mapping thousands of phosphopeptides and their assembly states. …”
Get full text

Assessment of Early Cognitive Impairment in Patients with Clinically Isolated Syndromes and Multiple Sclerosis by Leyla Baysal Kıraç, Özgül Ekmekçi, Nur Yüceyar, Ayşe Sağduyu Kocaman

Get full text

The real-world safety of Ofatumumab: a pharmacovigilance analysis based on the FDA adverse event reporting system by Yue Zhou, Yutong Wu, Xiao Zhao, Lingxu Xu, Mingguang Sun, Zhaoyou Meng

“…With the escalating clinical application of Ofatumumab, comprehending its safety profile within actual healthcare environments is of considerable importance.MethodsThis study compiled a dataset derived from the FAERS database, which included real-world safety data on Ofatumumab from Q4 2009 to Q2 2024. …”
Get full text