Results 41 to 50 of about 641 (217)
Depicting handshapes for animate referents in Swedish Sign Language
In this article, we explore the distribution of handshapes used in depicting constructions (also known as classifier predicates) representing animate referents in Swedish Sign Language (STS).
Simper-Allen Pia, Börstell Carl
doaj +1 more source
A Multiepitope‐Based Lateral Flow Assay for Leprosy Antibodies
An innovative lateral flow assay for leprosy diagnosis is based on gold nanoparticles and synthetic Mycobacterium leprae epitopes conjugated to keyhole limpet hemocyanin protein to enhance antibody detection. This strategy provides a rapid, accurate, and low‐cost approach for resource‐limited settings, enabling the early detection of infection. Leprosy
Cristiane Zocatelli‐Ribeiro +7 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Simultaneous classifier predicates in Sign Language of the Netherlands (NGT). A structural analysis
Contains fulltext : 293842.pdf (Author’s version preprint ) (Open Access)
Zwitserlood, I.E.P., Crasborn, O.A.
openaire +1 more source
Body donor programs in Australia and New Zealand: Current status and future opportunities
Abstract Body donation is critical to anatomy study in Australia and New Zealand. Annually, more than 10,000 students, anatomists, researchers, and clinicians access tissue donated by local consented donors through university‐based body donation programs. However, little research has been published about their operations.
Rebekah A. Jenkin, Kevin A. Keay
wiley +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
This Perspective explores the emerging landscape of cell membrane‐coated nanoparticles (CM‐NPs) as intelligent, immune‐compatible platforms for cancer therapy. Highlighting design strategies, translational challenges, and competitive positioning, it outlines how integrating biomimetic targeting with advanced analytical and manufacturing tools could ...
A. K. M. M. Alam +4 more
wiley +1 more source
ABSTRACT Drawing on comparative institutional theory, we study the nature and magnitude of the effects of national environmental policies on corporate green innovation in developed versus emerging markets. Using a sample of 1831 listed firms in 34 countries from 2002 to 2020, we find that national environmental policies increase corporate green ...
Ivan Miroshnychenko +2 more
wiley +1 more source
ABSTRACT Despite accelerating interest in green human resource management (GHRM) and its connection to organisational citizenship behaviour for the environment (OCBE), the field remains theoretically fragmented. This scoping review synthesises 12 empirical studies anchored in the ability–motivation–opportunity (AMO) framework.
Mamdoh M. Algethami, Nadine Campbell
wiley +1 more source
TBMOR Customer Churn Predication using XGBoost Classifier
This comprehensive study delves into the efficacy of cutting-edge machine learning models in predicting customer churn, a critical challenge faced by businesses across various sectors including Telecom, Banking, Medical, and Online Retail. By conducting a detailed comparative analysis of several predictive models, the research highlights the ...
openaire +1 more source

