Results 191 to 200 of about 73,321 (293)

Longitudinal Associations Between Materialism and Problematic Smartphone Use in Adolescence: Within- and Between-Person Effects. [PDF]

Behav Sci (Basel)
Dai X, Wang H, Lai X, Huang S, Zhao X, Wang Y.   +5 more
europepmc   +1 more source

Artificial intelligence for personalized multiple micronutrient supplementation in maternal health

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long‐term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small‐for‐gestational‐age births, and ...
Gabriel Davis Jones, Aris T. Papageorghiou, Hassan Shehata, Hema Divakar, Eline M. Van der Beek, Vyta Senikas, Justin C. Konje, Anne‐Beatrice Kihara, Moshe Hod, on behalf of the FIGO Committee on Women's Health and Technology   +9 more
wiley   +1 more source

Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method

IET Networks, Accepted Article., 2022
This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley   +1 more source

Co‐production with young people with developmental language disorder: Developing adapted materials for cognitive behavioral therapy

JCPP Advances, EarlyView.
Abstract Background Young people with Developmental Language Disorder (DLD) are at increased risk of mental health difficulties but often face barriers to accessing traditional talking therapies such as Cognitive Behavioral Therapy (CBT). Co‐production offers a way to create more accessible interventions by involving those with lived experience as well
Isabella Metcalfe, Courtenay Norbury, The DLD Young Person and Professionals Advisory Group, Sarah Griffiths, Rachel Beaumont, Siouxsie Webster, Rachel Hardy, Daniel Hardy, Jo Saul, Freddie Saul, Ben Lightfoot, Izumi Kershaw, Isaiah Efe, Katie DeBonis   +13 more
wiley   +1 more source

Usability of a gamified antibiotic resistance awareness mobile application: A qualitative evaluation

IET Networks, EarlyView., 2022
The purpose of this study is to reveal the findings from the usability evaluation of an antibiotic resistance awareness app (SEDAR) app and present the necessary critical revisions made to improve the usability further. This study adopted guerrilla testing, observation, and retrospective probing methods to evaluate the usability of the SEDAR app ...
Ummul Hanan Mohamad, Intan Nadiah Abdul Hakim, Mahdi Ali‐Akbari   +2 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

Evaluating the impact of audit and feedback using a novel text and web‐based platform with unblinded peer comparison

Journal of Hospital Medicine, EarlyView.
Abstract Hospitalists vary in their ordering practices related to labs, imaging, and discharge order times, which can lead to inefficient care, excess utilization of diagnostic tests, and prolonged length of stay. Peer comparison can be an effective way to influence physician practices. We implemented an automated, text‐based, unblinded peer comparison
Victor Cotton, Robert E. Burke, Jennifer Myers, Eugene Gitelman, Joyce Kim, Natasha Hagemeyer, Stephanie Trees, Andrew Trees, Ian Delorey, S. Ryan Greysen   +9 more
wiley   +1 more source

A Guide to Key Decision Criteria for Likert‐Scale Use in Survey Research

Global Business and Organizational Excellence, EarlyView.
ABSTRACT Although widely used in survey research, the application of the Likert scale often lacks rigorous justification in relation to key methodological decisions. Furthermore, inconsistencies in terminology persist, for example, the common reference made to the “5‐point Likert scale,” even though debate is ongoing about the optimal number of ...
Khan Md Raziuddin Taufique, Md. Mahiuddin Sabbir, Fazlul K. Rabbanee   +2 more
wiley   +1 more source

Technology Development Outsourcing: When to Join Forces With a Rival?

Journal of Operations Management, EarlyView.
ABSTRACT Knowing the challenges of collaborating with a competitor in developing new technologies, firms sometimes still choose a competitor instead of a noncompeting technology provider. To explore why, this study adopts an inter‐organizational trust view to explain the formation of a technology development outsourcing relationship.
Tingting Yan, Hubert Pun, Dina Ribbink
wiley   +1 more source

Decision aid reduces caregivers' preference for acid‐suppressive medication in infants with symptoms suggestive of reflux

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Caregivers of infants with symptoms suggestive of gastroesophageal reflux (GER), such as regurgitation and excessive crying, often feel uncertain and seek treatment, though it is usually unnecessary. This study evaluated the effect of a decision aid on reducing caregivers’ preference for acid suppressive medication for infants ...
Anna de Geus, Marinde van Lennep, Quirine M. van Dellen, Andrieke C. Knottnerus, Sarah T. A. Teklenburg‐Roord, Marc A. Benninga, Merit M. Tabbers   +6 more
wiley   +1 more source