Results 71 to 80 of about 166,800 (267)

Undergraduate Students’Evaluation Criteria When Using Web Resources for Class Papers [PDF]

Jiàoyù zīliào yǔ túshūguǎn xué, 2004
The growth in popularity of the World Wide Web has dramatically changed the way undergraduate students conduct information searches. The purpose of this study is to investigate what core quality criteria undergraduate students use to evaluate Web ...
Tsai-Youn Hung
doaj  

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

Agribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak, Claudia Bazzani, Andreas C. Drichoutis   +2 more
wiley   +1 more source

Anti-obesity potential of Eurycoma longifolia: molecular docking and experimental validation in diet-induced obese rats

Acta Biochimica Indonesiana
Background: Obesity is associated with hyperlipidemia and enhanced adipogenesis mediated by HMGR and GPDH enzymes. Eurycoma longifolia represents a potential natural therapeutic alternative to statins for obesity management. Objective: To investigate
Dimas Ikhsan Airlangga, Hanifa Rizky Rahmawati, Triawanti, Muhammad Alrizal Rahman   +3 more
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Catalyst Hide‐and‐Seek Beneath Porous Support Surfaces: Pinpointing Active Site Distribution Through Resonance Energy Transfer

Angewandte Chemie, EarlyView.
Like a shark playing hide‐and‐seek in a coral reef, energy transfer (ET) finds hidden “fish” catalysts in the porous support “reef.” ET allows catalytic species to be precisely mapped, revealing whether they reside near the surface, deep in the pores, or are uniformly distributed. This approach ensures controlled catalyst distribution, highlighting how
Buddhima K. P. Maldeni Kankanamalage, William J. Thompson, Danielle N. Smith, Grace C. Thaggard, Namodhi Wijerathne, Isabella Incognito, Jeffery A. Byers, Jia Niu, Natalia B. Shustova   +8 more
wiley   +2 more sources

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

The Extent of Perceived Stress among Undergraduate and Postgraduate Students of Selected State Agricultural Universities (SAUs) of Northern India

International Journal of Bio-Resource and Stress Management, 2022
The present study was conducted during 2016 in three colleges selected purposely, namely College of Agriculture, College of Home Science and College of Agriculture Engineering of selected four State Agricultural Universities (SAUs) namely Govind Ballabh
Anjali Negi, Kanwaljit Kaur
doaj  

Awareness of Undergraduate Nursing Students regarding Disaster Management at the British University in Egypt [PDF]

Helwan International Journal for Nursing Research and Practice
Background: Disasters occur more frequently with greater force than in the past and have a detrimental effect on society on many levels. Nursing students as future nurses should be prepared for disaster management.
Manal Bottros
doaj   +1 more source