Results 81 to 90 of about 67,005 (291)

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Analysing Catastrophic OOP Health Expenditure in India : Concepts, Determinants and Policy Implications [PDF]

The present paper attempts to modify definition of catastrophic out-of-pocket health expenditure by characterising it based on consumption of necessities.
Rama Pal
core   +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

Has the Janani Suraksha Yojana (a conditional maternity benefit transfer scheme) succeeded in reducing the economic burden of maternity in rural India? Evidence from the Varanasi district of Uttar Pradesh

Journal of Public Health Research, 2018
Background. One of the constraints in the utilisation of maternal healthcare in India is the out-of-pocket expenditure. To improve the utilisation and to reduce the out-of-pocket expenditure, India launched a cash incentive scheme, Janani Suraksha Yojana
Saradiya Mukherjee, Aditya Singh
doaj   +1 more source

Analyzing the effects of insuring health risks : on the trade-off between short run insurance benefits vs. long run incentive costs [PDF]

, 2012
This paper constructs a dynamic model of health insurance to evaluate the short- and long run effects of policies that prevent firms from conditioning wages on health conditions of their workers, and that prevent health insurance companies from charging ...
Cole, Harold Linh, Kim, Soojin, Krueger, Dirk   +2 more
core   +2 more sources

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Determinants of catastrophic health expenditure in iran.

Iranian journal of public health, 2013
This study will provide detailed specification of those variables and determinants of unpredictable health expenditure in Iran, and the requirements to reduce extensive effects of the factors affecting households' payments for health and other goods and services inappropriately.This study aims to identify measures of fair financing of health services ...
M Abolhallaje, Sa Hasani, P Bastani, M Ramezanian, M Kazemian   +4 more
openaire   +3 more sources

Catastrophic Health Expenditures And Impoverishment In Kenya

European Scientific Journal, ESJ, 2016
Background: Out-of-pocket health expenditures leave households exposed to the risk of financial catastrophe and poverty whenever they entail significant dissaving or the sale of key household assets. Even relatively small expenditures on health can be financially disastrous for poor households and similarly, large health care expenditures can lead to ...
Diana N. Kimani, Mercy G. Mugo, Urbanus M. Kioko   +2 more
openaire   +2 more sources

Incidence, socio-economic inequalities and determinants of catastrophic health expenditure and impoverishment for diabetes care in South Africa: a study at two public hospitals in Tshwane

International Journal for Equity in Health, 2019
Background Direct out of pocket (OOP) payments for healthcare may cause financial hardship. For diabetic patients who require frequent visits to health centres, this is of concern as OOP payments may limit access to healthcare.
Chipo Mutyambizi, Milena Pavlova, Charles Hongoro, Frederik Booysen, Wim Groot   +4 more
doaj   +1 more source