Results 181 to 190 of about 4,770,233 (308)

Enabling High‐Voltage Polymer‐Based Solid‐State Batteries Through Reinforcements with LiAlO2 Fillers

Advanced Energy Materials, EarlyView.
Polymer‐ceramic solid composite electrolytes with passive LiAlO2 fillers show remarkable improvements in Li‐ion conductivity in polycarbonates as compared to both non‐conductive Al2O3 and conductive Li7La3Zr2O12 counterparts. The exceptionally high transference numbers contribute to reversible and stable electrochemistry with Li‐metal electrodes and to
Kenza Elbouazzaoui, Andrii Mahun, Valeriia Shabikova, Laurent Rubatat, Kristina Edström, Jonas Mindemark, Daniel Brandell   +6 more
wiley   +1 more source

Exponential family measurement error models for single-cell CRISPR screens. [PDF]

Biostatistics
Barry T, Roeder K, Katsevich E.
europepmc   +1 more source

INTERPRETATION OF THE QUASI-LIKELIHOOD VIA THE TILTED EXPONENTIAL FAMILY

, 1997
Yoshimitsu Hiejima
openalex   +2 more sources

Discerning Blend Microstructure and Charge Recombination for Stable Biorenewable‐Based Organic Photovoltaics

Advanced Energy Materials, EarlyView.
A combination of morphological, electrical, and spectroscopy techniques is used to evaluate the degradation mechanisms of non‐fullerene (NFA)‐based organic photovoltaics (OPVs). Blends based on Y12 are more stable than Y6, aspeciallyOPVs from FO6‐T:Y12 demonstrated superior stability with an extrapolated T80 of over 2000 hours under maximum power point 
Eva Mazzolini, Zhuoran Qiao, Jolanda Muller, Francesco Furlan, Matteo Sanviti, Davide Nodari, Martina Rimmele, Alberto Collauto, Carsten Deibel, Martin Heeney, Jaime Martin, Flurin Eisner, Jenny Nelson, Nicola Gasparini, Julianna Panidi   +14 more
wiley   +1 more source

What matters for agricultural trade? Assessing the role of trade deal provisions using machine learning

Applied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs machine learning to determine which preferential trade agreement (PTA) provisions are relevant to agricultural trade patterns and the factors that may influence their adoption. Utilizing the three‐way gravity model, we apply plug‐in Lasso regularized regression to pinpoint predictive PTA provisions for agricultural trade ...
Stepan Gordeev, Jeremy Jelliffe, Dongin Kim, Sandro Steinbach   +3 more
wiley   +1 more source

A Bayesian multilevel model for populations of networks using exponential-family random graphs. [PDF]

Stat Comput
Lehmann B, White S.
europepmc   +1 more source

Multidimensional Bhattacharyya Matrices and Exponential Families

, 1997
Denys Pommeret
openalex   +1 more source

A Detailed Comprehensive Role of Digital Technologies in Green Finance Initiative for Net‐Zero Energy Transition

Advanced Energy and Sustainability Research, EarlyView.
This study aims to provide actionable recommendations for leveraging digital innovation for the achievement of scalable, equitable, and transparent Net Zero Energy Transition by offering actionable recommendations. As a result of this comprehensive analysis, the review highlights the critical interplay between digital technologies and GF as vital ...
Furkan Ahmad, Ameni Boumaiza, Antonio Sanfilippo, Luluwah Al‐Fagih   +3 more
wiley   +1 more source

On the consistency of MLE in finite mixture models of exponential families [PDF]

, 2006
Nieves Atienza, J. García‐Heras, Juan Manuel Muñoz Pichardo, Rafael Villa   +3 more
openalex   +1 more source

Exploring Potentially Inappropriate Medication Use on Elderly Patients in a General Medicine Ward Using 2023 AGS Beers Criteria

AGING MEDICINE, EarlyView.
This study found that 54% of elderly inpatients were prescribed at least one potentially inappropriate medication (PIM) based on the 2023 AGS Beers Criteria. Among identified PIMs, 32.2% were medications to avoid, and 52.8% required cautious use. Polypharmacy and chronic kidney disease (CKD) were key predictors of PIM use.
Subash Karki, Rahi Bikram Thapa, Rajeev Shrestha   +2 more
wiley   +1 more source