Results 41 to 50 of about 324,915 (231)

Integrating Business Analytics in Educational Decision-Making: A Multifaceted Approach to Enhance Learning Outcomes in EFL Contexts

Mathematics
This study introduces a framework that integrates business analytics into educational decision-making to improve learner engagement and performance in Massive Open Online Courses (MOOCs), focusing on learning environments in English as a Foreign Language
Minsu Cho, Jiyeon Kim, Juhyeon Kim, Kyudong Park   +3 more
doaj   +1 more source

Sequential Bayesian updating for Big Data [PDF]

, 2016
The velocity, volume, and variety of big data present both challenges and opportunities for cognitive science. We introduce sequential Bayesian updat-ing as a tool to mine these three core properties.
Huentelman, Matt, Oravecz, Zita, Vandekerckhove, Joachim   +2 more
core   +2 more sources

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Water Resources Planning Under Deep Uncertainty and Multiple Criteria–An Example in the Senegal River Basin

Water Resources Research
Water resources planning must take into account a range of interconnected and uncertain factors, including climate, technology, economic conditions, environmental concerns, and political systems.
Hamidreza Rezazadeh, Laurent Bruckmann, Guilherme Fernandes Marques, Amaury Tilmant   +3 more
doaj   +1 more source

Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Globally, enterprises are undergoing significant transformation in line with developments based on industrial revolution by leveraging extensive computing resources, data capture technologies, information processing systems, and advanced data science ...
Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan   +4 more
doaj   +1 more source

Dietary Protein Intake and Peritoneal Protein Losses in Peritoneal Dialysis Patients

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) patients lose protein in their waste dialysate, potentially increasing their risk for malnutrition. We wished to determine whether there was any association between losses and dietary protein intake (DPI). Methods DPI was assessed from 24‐h dietary recall using Nutrics software.
Haalah Shaaker, Andrew Davenport
wiley   +1 more source

TXtreme: transformer-based extreme value prediction framework for time series forecasting

Discover Applied Sciences
Time Series Forecasting (TSF) is crucial in various real-world applications such as climate forecasting and electricity demand prediction. Unlike traditional datasets, time series data points are influenced by their past values, necessitating specialized
Hemant Yadav, Amit Thakkar
doaj   +1 more source

A Reinforcement Learning and Unsupervised Clustering-Based Method for Automated Driving Cycle Construction for Fuel Cell Light-Duty Trucks

World Electric Vehicle Journal
Addressing the lack of high-fidelity test cycles for fuel cell light-duty trucks, this paper proposes an automated driving cycle construction method that integrates unsupervised clustering and reinforcement learning.
Jinbiao Shi, Weibo Zheng, Ran Huo, Po Hong, Bing Li, Pingwen Ming   +5 more
doaj   +1 more source

Sequential joint signal detection and signal-to-noise ratio estimation

, 2017
The sequential analysis of the problem of joint signal detection and signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model is considered.
Fauß, M., Nagananda, K. G., Poor, H. V., Zoubir, A. M.   +3 more
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source