Results 151 to 160 of about 186,758 (303)
Doreen Anna Mloka,1 Francis Sakita,2 Irene Kida Minja,3 Haruna Dika,4 Edith AM Tarimo,5 Nathanael Sirili,6 Lillian Teddy Mselle,7 Rodrick Richard Kisenge,8 Philip Sasi,9 Livuka Nsemwa,10 Delfina R Msanga,11 Einoti Yohana Matayan,12 Nicholaus Bartholomeo ...
Mloka DA +17 more
doaj
The (dis-)advantages of telehealth consultation for allied health services: a scoping review. [PDF]
Senyel D +8 more
europepmc +1 more source
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
Allied health care in the early stages of the COVID-19 pandemic: A qualitative study on the perceptions of non-hospitalized patients and allied health professionals. [PDF]
Agasi-Idenburg C +6 more
europepmc +1 more source
BACKGROUND:Although experienced and expert practitioners are valuable resources for the continuing professional development of other healthcare staff, there is not always a desire to take on this role.
Cooper-Thomas, Helena D +2 more
core
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin +8 more
wiley +1 more source
A Transdisciplinary Allied Health "Flying Squad" to Overcome Non-Medical Barriers to Discharge From Hospital: A Feasibility Study. [PDF]
D'Souza AN +6 more
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Towards a Sustainable Future: Embedding Planetary Health in Allied Health Professional Education Through the Lens of Indigenous Knowledges. [PDF]
McPherson K +4 more
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source

