Results 191 to 200 of about 11,089 (266)

Secondary imperfectivisation is reverbalisation. [PDF]

Morphology (Dordr)
Arsenijević B, Milosavljević S, Simonović M.   +2 more
europepmc   +1 more source

The Export and Financial Effects of Immigrant Team Composition in International New Ventures

Thunderbird International Business Review, EarlyView.
ABSTRACT Immigrant‐owned international new ventures (INVs) often partner with non‐immigrant entrepreneurs as co‐owners. Their mixed immigrant‐nonimmigrant teams could engender varied perspectives. But it is unclear whether such cognitive diversity improves their international strategy and performance.
Horatio M. Morgan, Sui Sui
wiley   +1 more source

Language, silence, and logic: Zen, Nishida, and fthe Sapir-Whorf hypothesis in cognitive and cultural perspectives. [PDF]

Front Psychol
Kuang X, He C, Chen Q, Song Y, Song T.
europepmc   +1 more source

Cellular Mechanism and Key Insights in Allergen Immunotherapy for Allergic Rhinitis

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Allergic rhinitis (AR) arises from immune responses mediated by immunoglobulin E (IgE) to inhaled allergens, representing one of the most prevalent chronic conditions worldwide. Although AR may not be a serious ailment, it holds clinical relevance as it underpins numerous complications, serves as a major risk factor for suboptimal asthma ...
Zhe Wang, Teng‐Fei Li, Tian‐Yu Wang, Huan‐Hai Liu   +3 more
wiley   +1 more source

Development trend of Artificial Intelligence (AI) in dentistry: exploring FDA-cleared dental devices. [PDF]

BMC Oral Health
Naved N, Adnan S, Umer F.
europepmc   +1 more source

Understanding and Mitigating Bias From Artificial Intelligence in Otolaryngology: A State‐of‐the‐Art Review

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objective To provide an overview of potential biases resulting from the utilization of artificial intelligence (AI) in otolaryngology and techniques to mitigate them. Data Sources Literature review and expert opinion. Conclusions AI promises to fundamentally transform medicine.
Matthew T. Ryan, David A. Gudis
wiley   +1 more source

Golem: a flexible and efficient solver for constrained Horn clauses. [PDF]

Form Methods Syst Des
Blicha M, Britikov K, Sharygina N.
europepmc   +1 more source

monarchr: an R package for querying biomedical knowledge graphs. [PDF]

Bioinformatics
O'Neil ST, Schilder BM, Schaper K, Cox C, Korn D, Gehrke S, Mungall CJ, Haendel MA.   +7 more
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Dependency Grammar Approach to the Syntactic Complexity in the Discourse of Alzheimer Patients. [PDF]

Behav Sci (Basel)
Lian Z, Wang Z.
europepmc   +1 more source