Results 101 to 110 of about 304 (166)

ÐÑенка ÑинанÑовой ÑÑÑойÑивоÑÑи пÑедпÑиÑÑиÑ(на пÑимеÑе ÐÐР«ÐÑиÑÑокÑÐ°Ñ 2»)

, 2017
Лолита Смайлиева
openalex   +1 more source

Mediated Electrochemical Probing and Machine Learning for Cysteine and Reduced Monoclonal Antibody Quantification

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Biopharmaceutical manufacturing requires robust analytics and process controls throughout production to insure high yield of quality products. New methodologies for rapidly accessing and integrating data‐rich information from complex dynamic biological environments are of great interest.
Kayla Chun, Varun Kochar, Evelyn Jaskowiak, Chen‐Yu Chen, Divya Muthusamy, Dana Motabar, Eunkyoung Kim, Gregory F. Payne, William E. Bentley   +8 more
wiley   +1 more source

ÐизнаÑÐµÐ½Ð½Ñ Ð¾ÑганÑÐ·Ð¾Ð²Ð°Ð½Ð¾Ñ Ð·Ð»Ð¾ÑинноÑÑÑ Ñ Ð±Ð¾ÑоÑÑба з Ð½ÐµÑ Ð·Ð° кÑимÑналÑним законодавÑÑвом РеÑпÑблÑки ÐолÑÑа

, 2016
Аneta; Університет Марії Кюрі-Склодовської Michalska-Warias
openalex   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

СбаланÑиÑÐ¾Ð²Ð°Ð½Ð½Ð°Ñ ÑиÑÑема показаÑелей как инÑÑÑÑÐ¼ÐµÐ½Ñ ÑпÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ ÑÑоимоÑÑÑÑ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸

, 2018
Илья Гуркун
openalex   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

ÐÑÑÑÐ°Ñ Ð¼Ð°ÑемаÑика. ÐиÑÑеÑенÑиалÑнÑе ÑÑавнениÑ

, 2017
Ксения Валерьевна Галунова, Виктор Владимирович Краснощеков   +1 more
openalex   +1 more source

Multifunctional Phosphorus Doping: Integrating Enhanced Ionic/Electronic Transport and Interface Optimization for Silicon Oxycarbide Anodes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Phosphorus doping introduced additional electrons into silicon oxycarbide (SiOC) materials, facilitating fast ion/electron transport. It also induced the formation of more stable and Li‐ion conductive interfaces, contributing to the improvement of electrochemical performance.
Yingying Shen, Yun Zheng, Jiangmin Jiang, Yike Huang, Yinan Liu, Rong Chen, Pingshan Jia, Lifen Long, Congcong Zhang, Huaiyu Shao   +9 more
wiley   +1 more source

ФоÑмÑÐ²Ð°Ð½Ð½Ñ ÑиклÑÑÐ½Ð¸Ñ Ð°Ð»Ð³Ð¾ÑиÑмÑв багаÑопаÑамеÑÑиÑного аналÑÐ·Ñ Ð¿ÑоÑеÑÑв ÑÑнкÑÑонÑÐ²Ð°Ð½Ð½Ñ Ð¼ÐµÑежÑ

, 2010
Н. Ю.; Национальный авиационный университет Шевченко
openalex   +1 more source

Molten Salt Electrolyte for Enhanced Low‐Temperature Sodium Liquid Metal Batteries

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study introduces the application of a low‐temperature, high‐conductivity, solvent‐free Na/KFSI molten salt electrolyte in sodium liquid metal batteries. Additionally, this electrolyte facilitates the formation of a stable and NaF‐rich cathode electrolyte interphase (CEI) on the alloy cathode, enabling stable cycling at an unprecedentedly low ...
Jingya Dong, Yewei Guo, Fuhao Zhang, Shuo Ye, Qiao Cu, Erbing Shi, Qingqing Dai, Kai Jiang, Qingfu Zhu, Haomiao Li, Kangli Wang   +10 more
wiley   +1 more source