Results 201 to 210 of about 741,544 (321)

Modeling information demand in the framework of probabilistic reasoning. [PDF]

Commun Psychol
Jiwa MW, Gottlieb J.
europepmc   +1 more source

Trifluoromethoxylated Electron Acceptor Enabling Ternary Organic Solar Cells with over 20% Power Conversion Efficiency

Advanced Functional Materials, EarlyView.
ABSTRACT In this work, we introduce a trifluoromethoxy (OCF3) group as a pseudo‐halogen terminal group design for non‐fullerene acceptors, which combines strong inductive electron‐withdrawing ability with moderate resonance donation. The as‐synthesized BTP‐OCF3, when benchmarked against its methoxy analogue BTP‐OCH3, demonstrates narrowed bandgap ...
Chunliang Li, Anhai Liang, Shuwei Qiu, Gavin Ho Ming Ng, Aleksandr Sergeev, Joshua Yuk Lin Lai, Bosen Zou, Xianghao Zeng, Jicheng Yi, Hongxiang Li, Junpo Guo, Wei Liu, Jia Yao, Kam Sing Wong, Zhipeng Kan, Sai Ho Pun, He Yan   +16 more
wiley   +1 more source

Harmonization of self-reported and performance-based measures of vision using inverse probability weighting: an example using vision and depression in NHATS, CLSA, and LASI. [PDF]

J Gerontol A Biol Sci Med Sci
Li M, Thibault DP, De Lott LB, Gravel CA, Freeman EE, Hamedani AG.   +5 more
europepmc   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

A comparison of Kaplan-Meier-based inverse probability of censoring weighted regression methods. [PDF]

Lifetime Data Anal
Overgaard M.
europepmc   +1 more source

What Determines the Shape of the Probability Weighting Function

, 2006
Helga Fehr-Duda, M. Schürer, R. Schubert   +2 more
semanticscholar   +1 more source

Statistically Resolving Thickness‐Dependent Electrical Characteristics in Multilayer‐MoS2 Transistors

Advanced Functional Materials, EarlyView.
A large number of MoS2 flakes were screened to obtain high‐quality flakes based on optical intensities in R, G, and B channel images. The flakes were classified from Level 1 to 6 based on optical intensities in the R, G, and B channel images. Low‐quality flake exhibited wrinkled, folded, or overlapped features, while high‐quality displayed a neat ...
Sanghyun Lee, Sumin Hong, Minho Park, Seongju Kim, Sanghoon Baek, Seonguk Yang, Chang‐Soo Lee, Sang‐Hoon Bae, Joonki Suh, Yongwoo Lee, Haksoon Jung, Jimin Kwon   +11 more
wiley   +1 more source

Assessing the generalizability of prevalence estimates from the all of us research program. [PDF]

Am J Epidemiol
Montgomery BW, Elkasabi M, Brannock MD, Marcial L, Huda A, McPheeters M, Schulkey C, Hedden S, Greenland P, Sastry C, Adjemian J, Litwin TR.   +11 more
europepmc   +1 more source

Algorithmic Design of Disordered Networks With Arbitrary Coordination: Application to Biophotonics

Advanced Functional Materials, EarlyView.
Predictive Design of Disordered Networks: Disordered network‐like morphologies are abundant in nature, from cytoskeletal networks to bone structures and chalcogenide glasses. These structures are naturally hard to characterize. A new algorithmic tool extends the established Wooten–Weaire–Winer (WWW) algorithm to valencies above 4.
Florin Hemmann, Vincent Glauser, Ullrich Steiner, Matthias Saba   +3 more
wiley   +1 more source

Comparative effectiveness of anti-CD20 therapies and S1P receptor modulators in late-onset multiple sclerosis: real-world evidence from the MSBase registry. [PDF]

Ther Adv Neurol Disord
Surcinelli A, Kalincik T, Roos I, D'Amico E, Lechner-Scott J, Ozakbas S, Hradilek P, Horáková D, Vachova M, Panzera I, Ruzza S, Piscaglia MG, Gerlach O, Meca-Lallana JE, Valero-López G, Kermode AG, Fabis-Pedrini MJ, Prevost J, Ampapa R, Hodgkinson S, Grand'Maison F, Khoury SJ, John NA, Peterka M, Houskova J, Recmanova E, Rous Z, Shaygannejad V, Alroughani R, Kuhle J, Jakob GB, Grammond P, Patti F, Van der Walt A, Butzkueven H, Foschi M.   +35 more
europepmc   +1 more source