Enhancing Elementary School Students' Soft Skills Through the Parent Teaching Program: Leveraging Local Resources for Optimization by M. Ferry Irawan, Noptario Noptario, Faisal Abdullah, Aida Imtihana, Nurlaila Nurlaila, Nadya Syafira Putri

“…This study employed an explanatory sequential design to investigate the implementation of the parent teaching program and its impact at an elementary school in Yogyakarta, Indonesia. …”
Get full text

The Role of Parents from Various Backgrounds Toward Online Learning In Elementary School Due to The Covid-19 Pandemic At Sidoarjo by Zuhrotunisa Eviana Indah Kumala, Ahmad Misbahul Munir, Bakhrul Huda

“…The purpose of this research was to identify how the implementation model of online learning is conducted by children aged 8-10 years in Sidoarjo and how the role of their parents with different backgrounds in online learning. …”
Get full text

Formulation of multicriteria problem of routing and scheduling of manned and unmanned aircraft in a dynamic environment and approach to its solution using genetic algorithms by G. N. Lebedev, V. B. Malygin, D. A. Mikhaylin, T. Byo

“…This task is especially important under the conditions of joint management (CDM), where aeronautical data can be considered as additional criteria.…”
Get full text

Deep Convolutional Neural Networks to Automatically Classify Human Heart Diseases by Yo-Ping Huang, Richard Mushi, Frode Eika Sandnes, Hsiao-Feng Hu, Jing-Huei Lee

“…This study therefore presents a highly accurate automatic heart rate classification system using deep convolutional neural networks (DCNNs) conveniently implemented as a smartphone application that provide users with timely heart disease warnings. …”
Get full text

A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework by Washington Enyinna Mbonu, Carsten Maple, Gregory Epiphaniou, Christo Panchev

“…Specifically, we design a zero-trust dual-server architectural framework instead of a traditional single-server scheme based on trust. We exploit additive secret sharing to eliminate the single point of exposure of the training data and implement a weight selection and filtering strategy to enhance robustness to poisoning attacks while supporting the verification of aggregated results from the servers. …”
Get full text

Non-linear dose-response relationship between uterine artery pulsatility index and risk of preeclampsia in early pregnancy: A secondary analysis based on a nested cohort study. by Shaou Wang, Hao Dong

“…A weighted multivariate logistic regression model was used to analyze the association between UtA-PI and PE. Additionally, the non-linear relationship between UtA-PI and the incidence of PE was examined using smooth curve fitting and a generalized additive model.…”
Get full text

Asymmetrically Reconstructed Optical OFDM for Visible Light Communications by Jindan Xu, Wei Xu, Hua Zhang, Xiaohu You

“…By specifically exploiting the asymmetric structure of OOFDM such as PAM-DMT and ACO-OFDM, we present a new framework for implementing OOFDM with enhanced performance in terms of both bit error rate (BER) and peak-to-average power ratio (PAPR). …”
Get full text

Um modelo de otimização para priorização em planejamento de Sistemas de Informação An optimization model to prioritize Information Systems planning by Adiel Teixeira de Almeida Filho, Ana Paula Cabral Seixas da Costa

“…To evaluate these aspects, an additive value function taken from another published model is used, which is subsequently adapted to take into account different situations that may occur during the choice process. …”
Get full text

SHAP-based convolutional neural network modeling for intersection crash severity on Thailand's highways by Jirapon Sunkpho, Chamroeun Se, Warit Wipulanusat, Vatanavongs Ratanavaraha

“…This study develops customized Convolutional Neural Network (CNN) models to classify the severity of intersection crashes and utilizes SHapley Additive exPlanations (SHAP) to interpret the models. …”
Get full text

Optimizing turning parameters of duralumin nano Cr₂C₃–MoS₂ using ANN and MOORA: A multi-objective approach by Ramesh Vellaichamy, Pugazhenthi Rajagopal, Ajith Arul Daniel Selsam Chandradoss, A. Geetha Selvarani

“…The composite material was synthesized via liquid metallurgy stir casting methodology, incorporating 5 wt% nano-Cr₂C₃ as the primary reinforcement phase and 2 wt% MoS₂ as a solid lubricant additive to enhance tribological characteristics and machinability. …”
Get full text

Explainable Deep Learning for COVID-19 Vaccine Sentiment in Arabic Tweets Using Multi-Self-Attention BiLSTM with XLNet by Asmaa Hashem Sweidan, Nashwa El-Bendary, Shereen A. Taie, Amira M. Idrees, Esraa Elhariri

“…Obtained experimental results indicate that the combined XLNet with BiLSTM model outperforms other implemented state-of-the-art methods, achieving an accuracy of 93.2% and an F-measure of 92% for average sentiment classification. …”
Get full text

The impact of laboratory staff training workshops on coagulation specimen rejection rates. by Marcel du Toit, Zivanai C Chapanduka, Annalise E Zemlin

“…A revised standard operating procedure delineating coagulation specimen rejection criteria was implemented and a repeat three-month audit was conducted.…”
Get full text

Effects of temperature and environmental covariates on the dynamic transmission of hand, foot, and mouth disease in Zhejiang, China. by Wanqi Wen, Ziping Miao, Dashan Zheng, Feng Ling, Zhengmin Min Qian, Benjamin de Foy, Steven W Howard, Jimin Sun, Hualiang Lin

“…., townships). General additive model was further employed to analyze the effects of temperature and other driving factors on the transmissibility of HFMD. …”
Get full text

Interpretable Machine Learning Framework for Corporate Financialization Prediction: A SHAP-Based Analysis of High-Dimensional Data by Yanhe Wang, Wei Wei, Zhuodong Liu, Jiahe Liu, Yinzhen Lv, Xiangyu Li

“…This study proposes an innovative Shapley Additive Explanations (SHAP)-enhanced machine learning framework that integrates SHAP with advanced ensemble methods for interpretable financialization prediction. …”
Get full text

Trend analysis and spatiotemporal distribution of leishmaniasis disease incidence in Sri Lanka: A detailed review from 2009 to 2023. by Nayana Gunathilaka, Deshaka Jayakody, Rajitha Wickremasinghe

“…The IR was modeled using a Generalized Additive Model for Location, Scale, and Shape (GAMLSS). …”
Get full text

StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. by Amanda Bleichrodt, Amelia Phan, Ruiyan Luo, Alexander Kirpich, Gerardo Chowell

“…<h4>Background</h4>Many disciplines, such as public health, rely on statistical time series models for real-time and retrospective forecasting efforts; however, effectively implementing related methods often requires extensive programming knowledge. …”
Get full text

THE INTERNATIONAL EXPERIENCE AND THE CURRENT RUSSIAN LEGISLATION REGARDING SUPERVISION OF MARGINAL CREDITING by E. S. Emelyanova

“…The article analyzes the international Supervisory experience of the European Union in terms of monitoring the implementation of short sales. The analysis was carried out in order to determine further key directions of development of the Russian market of margin lending. …”
Get full text

Russian Language in the Field of Civil Service: Problems of Development and Using Borrowed Vocabulary by G. P. Semenova

“…The relevance of this topic is explained by the special speech responsibility of representatives of socially significant professions who use Russian as the state language, as well problems arising in the implementation as of the provisions of the Federal Law “On the State Language of the Russian Federation” as amended on February 28, 2023. …”
Get full text

Sochi State University as a Driver of Event Volunteering in the Region by Aleksandr A. Ryabtsev, Tatyana A. Yudina, Sergey V. Сheremshanov, Georgy S. Papazyan

“…Today, many universities create on their basis volunteer centers (EC), which are one of the best mechanisms for attracting young people to solving urgent problems of the development of society, an additional pedagogical and personal-developing resource. …”
Get full text

Understanding barriers of BIM-based knowledge management system: A case study of Indonesian state-owned construction enterprises by Utama Singgih Fitra, Negara Kartika Puspa, Wijatmiko Indradi

“…This study highlights the barriers of knowledge management and BIM implementation in Indonesia construction industry. Identifying barriers to the knowledge management process and assessing the characteristics and advantages of BIM are potential areas for research. …”
Get full text