Results 51 to 60 of about 78,610 (184)
Crystal Engineering of Reticular Materials for Gas‐ and Liquid‐Phase Hydrocarbon Separation
Advanced Materials, Volume 38, Issue 16, 17 March 2026.Crystal engineering enables systematic study of structure/function relationships as exemplified by pore engineering of reticular sorbents, including porous coordination networks and covalent organic frameworks. This review assesses such studies applied across the full scope of industrially relevant hydrocarbon separations to provide insight into how ...
Xia Li +2 more
wiley +1 more source
Imitating Driver Behavior with Generative Adversarial Networks
, 2017 The ability to accurately predict and simulate human driving behavior is critical for the development of intelligent transportation systems. Traditional modeling methods have employed simple parametric models and behavioral cloning.
Kochenderfer, Mykel +3 more
core +1 more source
Journal of the Association for Information Science and Technology, Volume 77, Issue 3, Page 503-520, March 2026.Abstract This ethnographic study explores vehicle residents' information practices in the United States (US). Vehicle residents are people whose primary means of housing is a vehicle. This work builds on previous research encompassing transitions and fractured (information) landscapes. Using fractured information landscapes as the theoretical framework,
Kaitlin E. Montague
wiley +1 more source
Mesoporous Materials for Electrochemical Biosensors: From Broad Structure to Silica Film
Small, Volume 22, Issue 13, 3 March 2026.This review showcases how mesoporous materials advance biosensing, spanning from material classes and fabrication strategies to the unique role of silica films as functional sensing platforms. With tunable porosity, high surface area, and versatile chemistry, these materials enhance selectivity and signal amplification in biosensors.
Vinh Khanh Ho +3 more
wiley +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 2, Page 339-356, February 2026.Abstract Collection of large behavioural data‐sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, has unlocked a new frontier of fine‐scale markerless measurements.
Michael Chimento +3 more
wiley +1 more source
Zanco Journal of Humanity SciencesThe current of reserach aims to identify: the effectiveness of a training program based on mobile learning technology in developing the skills to deal with autistic children behavior n in the center of Sulaymaniyah Governorate.
Araz Hakem Radha , Renas Babakr Khdir
doaj +1 more source
The Post‐Marketing Real‐World Outpatient Clinical Validation of Electronic Blood Pressure Monitors
The Journal of Clinical Hypertension, Volume 28, Issue 2, February 2026.ABSTRACT This study evaluated the accuracy of a variety of home upper‐arm oscillometric blood pressure monitors (BPMs) from 448 participants against the FDA‐certified XYZ110 auscultatory device using simultaneous measurements. Descriptive statistics were used to summarize the key findings of the study.
Zhiping Zhang +12 more
wiley +1 more source
Comparison of drone and ground surveys for the detection of a rare plant in a fragile ecosystem
Ecological Solutions and Evidence, Volume 7, Issue 1, January–March 2026.We compared the accuracy, time, and financial costs of drone and ground surveys for the detection of wood lilies (Lilium philadelphicum) in an endangered alvar ecosystem. We found that the drone surveys detected 73%–78% of the plants found in the ground surveys, but that this type of survey was more expensive and time consuming than the ground survey ...
Ana Hernández Martínez de la Riva +3 more
wiley +1 more source
Kan brugen af mobiletelefoner i undervisningen styrke elev-centrerede læreprocesser?
Læring og Medier, 2010 Mobil læring er et emne på vej frem. Det er ikke kun det konstant tiltagende antal af konferencer om m-læing, der understøter dette faktum (Traxler 2007).
Judith Seipold
doaj +3 more sources
Deep Learning and Econometric Time Series Analysis: An Assessment of Daily Return Forecasts
Journal of Forecasting, Volume 45, Issue 1, Page 377-390, January 2026.ABSTRACT We provide an in‐depth assessment of univariate financial time series analysis via machine learning followed by a thorough discussion beyond the discussion on daily return predictability. We simulate economic time series and present an in‐depth assessment of relevant hyperparameter tuning and study the ability of competing deep learning ...
Theo Berger
wiley +1 more source