Results 191 to 200 of about 174,137,944 (233)

Fluxional Monomers Remodel Crystallinity at Low Loadings in Diketopyrrolopyrrole Co‐Thienothiophene Conjugated Polymers

Angewandte Chemie, EarlyView.
Bullvalene is a fluxional molecule capable of adopting numerous conformations spontaneously; just like a Rubik's Cube. In this paper, we explore the incorporation of bullvalene into the backbone of a highly rigid conjugated polymer semiconductor and observe that the inherent fluxionality reduces average crystallite size.
Shine H. Huang, Peiguan B. Sun, Gopal Singh, Matthew J. Elardo, Abraham Herzog‐Arbeitman, Timothy L. Kelly, Matthew R. Golder, Helen Tran   +7 more
wiley   +2 more sources

Land change, fire, and climate weaken carbon sink in the conterminous United States. [PDF]

Sci Adv
Liu J, Sleeter BM, Zhu Z, Cochrane MA, Zhou Q, Wang B, Domke GM, Selmants PC, Windham-Myers L, Zhu Q, Wilson TS, Byrd KB, Ward EJ, Sohl TL, Hawbaker TJ, Zhang Z, Soulard CE, Wickland KP, Striegl RG.   +18 more
europepmc   +1 more source

Integrating Genetic Modifier Genotype With Serum Proteomics in Duchenne Muscular Dystrophy Clinical Trials Links LTBP4 Genetic Modifier to IL‐23/CD93 Pathways in Muscle

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Genetic modifiers of Duchenne muscular dystrophy (DMD) that alter disease severity or response to therapy have been reported using natural history or registry data sets of older corticosteroid‐treated patients. We tested associations of genetic modifiers on motor function outcomes in young (4 to < 7 years) steroid naïve clinical trial ...
Utkarsh J. Dang, Yuan Fang, Daniele Sabbatini, Elena Pegoraro, Luca Bello, Paula R. Clemens, Michela Guglieri, John van den Anker, Jesse Damsker, Laura Hagerty, Yetrib Hathout, Michael Ziemba, Lauren Morgenroth, Surajit Bhattacharya, Kanneboyina Nagaraju, Jyoti K. Jaiswal, Eric P. Hoffman   +16 more
wiley   +1 more source

A Deep Learning Approach to Lunar Rover Global Path Planning Using Environmental Constraints and the Rover Internal Resource Status. [PDF]

Sensors (Basel)
Tanaka T, Malki H.
europepmc   +1 more source

Genetic Resilience and Resistance in Alzheimer's Disease Diagnosis and Pathology

Annals of Neurology, EarlyView.
Objective Some individuals avoid Alzheimer's disease (AD) pathology as they age, or retain cognition despite substantial pathology, suggesting mechanisms of resistance or resilience to neurodegeneration. Educational attainment (EA) is associated with reduced risk of cognitive decline, although the underlying mechanisms remain unclear.
Ganna Leonenko, Kalliopi Mavromati, Lynne Hughes, Jonas S. Sundarakumar, Keeley Brookes, Kevin Morgan, Terry Quinn, Valentina Escott‐Price, the Alzheimer's Disease Neuroimaging Initiative   +8 more
wiley   +1 more source

Utility of cerebrovascular imaging biomarkers to detect cerebral amyloidosis. [PDF]

Alzheimers Dement
Howe MD, Caruso MR, Manoochehri M, Kunicki ZJ, Emrani S, Rudolph JL, Huey ED, Salloway SP, Oh H, Alzheimer's Disease Neuroimaging Initiative.   +9 more
europepmc   +1 more source

Lake bottom relief reconstruction and water volume estimation based on the subsidence rate of the post-mining area (Bytom, Southern Poland). [PDF]

Sci Rep
Wita P, Szafraniec JE, Absalon D, Woźnica A.   +3 more
europepmc   +1 more source

Estimating soil degradation in montane grasslands of North-eastern Italian Alps (Italy). [PDF]

Heliyon, 2019
Torresani L, Wu J, Masin R, Penasa M, Tarolli P.   +4 more
europepmc   +1 more source

Overview of Research Progress and Development of Cathode Materials for Aqueous Na‐Ion Batteries

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Aqueous sodium‐ion batteries (ASIBs) have now been viewed as the promising energy storage technique for the grid application due to their intrinsic safety and cost‐effectiveness. However, their energy density and cycling stability are still unsatisfactory accompanied by the narrow electrochemical stability window of water and parasitic side ...
Zhiwei Shi, Hongmin Chen, Hongyu Xia, Xiaoyu Zhang, Haojie Lv, Fei Gu   +5 more
wiley   +1 more source

Message-Passing Monte Carlo: Generating low-discrepancy point sets via graph neural networks. [PDF]

Proc Natl Acad Sci U S A
Rusch TK, Kirk N, Bronstein MM, Lemieux C, Rus D.   +4 more
europepmc   +1 more source