Results 71 to 80 of about 64,942 (286)

The future of pediatric enhanced recovery after surgery is bright!

Journal of Pediatric Surgery Open
There is an abundance of data for the use of enhanced recovery after surgery protocols (ERPs) in the adult literature. These ERPs are not used only to expedite discharge after surgery, but to optimize patients before surgery, standardize their care ...
Michael R. Phillips, Jennifer Y. Lam, Mary E. Brindle   +2 more
doaj   +1 more source

Attention effects on the processing of task-relevant and task-irrelevant speech sounds and letters

Frontiers in Neuroscience, 2013
We used event-related brain potentials (ERPs) to study effects of selective attention on the processing of attended and unattended spoken syllables and letters.
Maria eMittag, Karina eInauri, Tatu eHuovilainen, Miika eLeminen, Miika eLeminen, Emma eSalo, Teemu eRinne, Teija eKujala, Teija eKujala, Kimmo eAlho, Kimmo eAlho   +10 more
doaj   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

The Balanced Scorecard Approach to Assess the Influence of ERPS and SCM Usage with Strategic Alignment as a Moderator

Binus Business Review, 2018
The purpose of this research was to examine whether the Enterprise Resource Planning System (ERPS) usage by Indonesian companies affected the firm performance based on the balanced scorecard approach directly or moderated by strategic alignment.
Weli Weli
doaj   +1 more source

The Impact of Self‐Checkout Technology on Shopping Behavior in B2B Retail: Evidence From Point‐Of‐Sale Transaction Data

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines the impact of self‐checkout technology implementation on B2B customer shopping behavior using a novel methodological approach that combines propensity score matching with difference‐in‐differences analysis on actual point‐of‐sale transaction data.
Jindřich Špička, Michaela Dvořáková   +1 more
wiley   +1 more source

Individual and Organizational Impact of Enterprises Resources Planning System in Healthcare Sector [PDF]

Mehran University Research Journal of Engineering and Technology, 2016
Use of ERPS (Enterprise Resource Planning System) in healthcare sector has positive impacts. The purpose of this research is to find out the individual and organizational impact in healthcare sector.
ASAD ILYAS, MUHAMMAD FIAZ, ASMA TAYYABA
doaj  

No evidence of associations between ADHD and event-related brain potentials from a continuous performance task in a population-based sample of adolescent twins.

PLoS ONE, 2019
We investigated key event-related brain potential markers (ERPs) derived from a flanked continuous performance task (CPT) and whether these would show phenotypic associations with ADHD (attention-deficit/hyperactivity disorder) in a population-based ...
Alex Lau-Zhu, Charlotte Tye, Frühling Rijsdijk, Grainne McLoughlin   +3 more
doaj   +1 more source

Ecological Reference Points for Atlantic Menhaden Established Using an Ecosystem Model of Intermediate Complexity

Frontiers in Marine Science, 2020
Atlantic menhaden (Brevoortia tyrannus) are an important forage fish for many predators, and they also support the largest commercial fishery by weight on the U.S. East Coast. Menhaden management has been working toward ecological reference points (ERPs)
David Chagaris, Katie Drew, Amy Schueller, Matt Cieri, Joana Brito, Joana Brito, Andre Buchheister   +6 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Driving Ability in Alzheimer Disease Spectrum: Neural Basis, Assessment, and Potential Use of Optic Flow Event-Related Potentials

Frontiers in Neurology, 2018
Driving requires multiple cognitive functions including visuospatial perception and recruits widespread brain networks. Recently, traffic accidents in dementia, particularly in Alzheimer disease spectrum (ADS), have increased and become an urgent social ...
Takao Yamasaki, Takao Yamasaki, Shozo Tobimatsu   +2 more
doaj   +1 more source