Results 121 to 130 of about 93,507 (297)

Multivariate Hermite interpolation of manifold-valued data [PDF]

, 2022
Ralf Zimmermann, Ronny Bergmann
openalex   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Proposal of Early Drain Exchange After Pancreatoduodenectomy From the View of Reducing Postoperative Pancreatic Fistula

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background To mitigate the progression of postoperative pancreatic fistula (POPF) after pancreatoduodenectomy (PD), appropriate drain management is required, and exchanging drainage tubes is commonly performed. However, the optimal timing of the first drain exchange has not yet been determined.
Taihei Soma, Mihoko Yamada, Ryo Ashida, Katsuhisa Ohgi, Shimpei Otsuka, Yoshiyasu Kato, Teiichi Sugiura, Katsuhiko Uesaka   +7 more
wiley   +1 more source

Impact of Prophylactic Cefepime on Surgical Site Infection and Severe Morbidity in Patients Who Underwent Pancreaticoduodenectomy With Preoperative Biliary Drainage

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Although prophylactic broad‐spectrum antibiotics can reduce postoperative complications after pancreaticoduodenectomy (PD), the optimal regimen remains uncertain. This study evaluated the impact of prophylactic cefepime (CFPM) on surgical site infection (SSI) and severe morbidity after PD with preoperative biliary drainage.
Genki Watanabe, Akihiro Murata, Yu Kasamatsu, Atsushi Ishihara, Daisuke Nagashima, Tetsuzo Tashima, Shintaro Kodai, Akishige Kanazawa, Sadatoshi Shimizu   +8 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Gut microbiota–derived short‐chain fatty acids regulate group 3 innate lymphoid cells in HCC

Hepatology, EarlyView., 2022
Abstract Background and Aims Type 3 innate lymphoid cells (ILC3s) are essential for host defense against infection and tissue homeostasis. However, their role in the development of HCC has not been adequately confirmed. In this study, we investigated the immunomodulatory role of short‐chain fatty acids (SCFAs) derived from intestinal microbiota in ILC3
Chupeng Hu, Bingqing Xu, Xiaodong Wang, Wen‐Hua Wan, Jinying Lu, Deyuan Kong, Yu Jin, Wenhua You, Hua Sun, Xiaoxin Mu, Dongju Feng, Yun Chen   +11 more
wiley   +1 more source

Approximate approximations on nonuniform grids

Le Matematiche, 2007
We present an extension of approximate quasi-interpolation on uniformly distributed nodes, to functions given on a set of nodes close to an uniform, not necessarily cubic, grid.
Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt   +2 more
doaj  

Geostatistical Approach for Spatial Interpolation of Meteorological Data

Anais da Academia Brasileira de Ciências
Meteorological data are used in many studies, especially in planning, disaster management, water resources management, hydrology, agriculture and environment.
DERYA OZTURK, FATMAGUL KILIC
doaj   +1 more source

A New Fast Iterative Method for Interpolation of Multivariate Scattered Data [PDF]

, 2005
A.V. Masjukov, Vladimir I. Masjukov
openalex   +1 more source