Results 51 to 60 of about 23,791 (218)
ABSTRACT The critical role of small and medium‐sized enterprises (SMEs) in driving economic growth through employment generation and innovation cannot go unseen, especially the efforts of small firms in promoting sustainable entrepreneurship. With more market and consumer focus on sustainability and the shift toward eco‐friendly products, SMEs can ...
Nasser Hadi Alajmi
wiley +1 more source
ABSTRACT Implementing digital technologies is touted as the next big step for the firms aiming to improve sustainability in their supply chains. These technologies are often credited with the potential to improve transparency and achieve sustainability.
Amna Farrukh, Aqeel Ahmed, Sadaat Yawar
wiley +1 more source
Effects of Nicotine on the Neurophysiological and Behavioral Effects of Ketamine in Humans
Background: N-methyl-D-aspartate (NMDA) receptor hypofunction has been implicated in the pathophysiology of schizophrenia and its associated neurocognitive impairments.
Daniel H Mathalon +18 more
doaj +1 more source
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
Electroencephalography (EEG) and Event‐Related Potentials (ERPs) with Human Participants [PDF]
AbstractUnderstanding the basic neural processes that underlie complex higher‐order cognitive operations and functional domains is a fundamental goal of cognitive neuroscience. Electroencephalography (EEG) is a non‐invasive and relatively inexpensive method for assessing neurophysiological function that can be used to achieve this goal.
Gregory A, Light +7 more
openaire +2 more sources
AI‐based localization of the epileptogenic zone using intracranial EEG
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 +5 more
wiley +1 more source
Semantic priming in children: an event-related potential (ERP) study
Event-related potential (ERP) analysis associated with semantic priming is traditionally based on the comparison between experimental conditions of the mean amplitude values, which are within the range of the N400 component latency. In this study, we used a complete ERP dataset to examine whether middle- and long-latency components are modulated by ...
Paula López-Alanís +7 more
openaire +2 more sources
Two Problems for the Political Inclusion of Animals
ABSTRACT In recent years, the field of animal ethics has taken a political turn, with scholars arguing that sentient nonhuman animals should be included in the political sphere. This article explores two key challenges arising from this turn towards the political inclusion of animals: the Conflict Problem and the Numbers Problem.
David Paaske, Angela K. Martin
wiley +1 more source
The temporal dynamics of perceiving other’s painful actions
The present study investigates the temporal dynamics of the brain activity predicting the sensory outcomes of observed hand-object interactions of others from a third-person perspective.
Fang Cui +3 more
doaj +1 more source
ABSTRACT Objectives Intolerance of uncertainty (IU) is a cognitive vulnerability factor that plays a role in obsessive compulsive disorder (OCD). Most research has looked at IU at an omnibus level. This paper aimed to investigate the two dimensions of IU, prospective and inhibitory IU, and their relation to overall OCD symptom severity, as well as the ...
Judith M. Laposa, Christina Puccinelli
wiley +1 more source

