Results 121 to 130 of about 59,364 (297)

Measures implemented to reduce Blood Culture Contamination in Intensive Care Units at a Veteran’s Administration Hospital

Antimicrobial Stewardship & Healthcare Epidemiology
Background: Blood Culture Contamination (BCC) is a significant safety and quality indicator for intensive care units (ICU) at the Veteran Affairs North Texas Healthcare System. In February 2023, the combined ICU BCC rate was 4.7%.
Aderonke Badejogbin, Sherry R. Reid, Ikwo Oboho, Denisse Silva, Tanaya Lindstrom, Mary Ramirez, Cinemol Varghese, Moses Njeri, Emily Mogeni, Patricia Shahim   +9 more
doaj   +1 more source

Influence of Bottom Electrodes on the Ferroelectric Stability of AlScN Film at High Temperatures

Advanced Electronic Materials, EarlyView.
The thermal stability of AlScN depends on the bottom electrode. When the bottom electrode possesses compressive stress, tensile strain develops in the AlScN upon thermal annealing, reducing the switching barrier. When the bottom electrode forms a coherent interface with AlScN, significant tensile strain and defects are generated in the AlScN layer ...
Kyung Do Kim, Seung Kyu Ryoo, Min Kyu Yeom, Dong Jae Kim, Cheol Seong Hwang   +4 more
wiley   +1 more source

Do black women’s lives matter? A study of the hidden impact of the barriers to access maternal healthcare for migrant women in South Africa

Frontiers in Sociology
BackgroundStudies on the barriers migrant women face when trying to access healthcare services in South Africa have emphasized economic factors, fear of deportation, lack of documentation, language barriers, xenophobia, and discrimination in society and ...
Abha Jaiswal, Lorena Núñez Carrasco, Jairo Arrow   +2 more
doaj   +1 more source

The forecast data for 2m temperature [K] from GPC_Beijing (BCC).

This forecast data is made by GPC_Beijing (BCC) using an operational seasonal prediction system. This resource contains the monthly mean 2m temperature [K] for 3-month. The format of resource is GRIB2.

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Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang, Luca Weckelmann, Baolin Wu, Chih‐Long Tsai, Luc Raijmakers, Rüdiger‐A. Eichel, Anna Windmüller   +6 more
wiley   +1 more source

The hindcast data for 2m temperature [K] from GPC_Beijing (BCC).

This hindcast data is made by GPC_Beijing (BCC) using an operational seasonal prediction system. This resource contains the monthly mean 2m temperature [K] for 3-month. The format of resource is GRIB2.

core  

Atomistic Insights Into Lithium Alloying and Crystallization at Metal Interlayers in Zero‐Excess Lithium Batteries

Advanced Energy Materials, EarlyView.
Molecular dynamics simulations with machine learning potentials, combined with experiments, reveal how interlayer metals govern Li alloying and crystallization in zero‐excess lithium batteries. Mg and Zn promote solid‐solution alloy‐mediated pathways that influence Li diffusion and structural uniformity, while Bi forms ordered intermetallics with more ...
Neubi F. Xavier Jr., Nicolas Rospars, Mohammed Srout, Matthew K. Sharpe, Pablo Hernández‐Martín, Callum D. McAleese, Satheesh Krishnamurthy, Tao Chen, Celia Polop, Andrea Ingenito, Qiong Cai   +10 more
wiley   +1 more source

A new selective culture medium for isolation of Burkholderia cepacia complex in pharmaceutical industry

Frontiers in Microbiology
ObjectivesBurkholderia cepacia complex (Bcc) are typical objectionable microorganisms of concern for water-based pharmaceuticals. In order to achieve quick and effective detection of Bcc to prevent final product contamination, a new selective medium ...
Meng Yu, Sijin Wang, Yao Zhong, Li Yuan, Likang An, Danyang Feng, Zhen Liu, Shihong Ma   +7 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

The forecast data for sea surface temperature [K] from GPC_Beijing (BCC).

This forecast data is made by GPC_Beijing (BCC) using an operational seasonal prediction system. This resource contains the monthly mean sea surface temperature [K] for 3-month. The format of resource is GRIB2.

core