Results 201 to 210 of about 3,336,539 (310)

School and obesity: failure, bullism [PDF]

, 2015
Braet, Caroline, Maes, Lea, Van Lippevelde, Wendy   +2 more
core   +1 more source

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

Advanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth, Verena Streibel, Oliver Bienek, Sergej Levashov, Johannes Dittloff, Kristof Möller, Johanna Eichhorn, Matthias M. May, Ian D. Sharp   +8 more
wiley   +1 more source

The Impact of Enteral Nutrition Type, Volume, and Time of Introduction on the Risk of Growth Failure and Bronchopulmonary Dysplasia in Preterm Infants. [PDF]

Nutrients
Hendricks-Muñoz KD, Yitayew MS, Chahin N, Williams A, Xu J, Abdulkadir A, Alemayehu B, Voynow JA.   +7 more
europepmc   +1 more source

Combinatorial Synthesis of Next Generation Water‐Soluble Quaternized N‐Halamine Oligomers with Long‐Lasting Antiviral Properties

Advanced Functional Materials, EarlyView.
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya, Konda Reddy Kunduru, Krishanu Ghosal, Luna Rizik, Nofar Atari, Mahran Daifa, Neta Kutner, Bassma Khamaisi, Qi Wu, Simran Jindal, Merna Shaheen‐Mualim, Ranabir Majumder, Mahitosh Mandal, Michal Mandelboim, Shady Farah   +14 more
wiley   +1 more source

Reply to 'Sacubitril/valsartan in heart failure: a critical look at dementia risk and future study pathways'. [PDF]

Eur Heart J Cardiovasc Pharmacother
Jung K, Shin JY, Kim JH.
europepmc   +1 more source

Host‐Directed Biomaterials for Combatting Bloodstream Infections: From Macrocyclic Peptides to Immune‐Activating Cell Backpacks

Advanced Functional Materials, EarlyView.
Bloodstream infections (BSI) are one of the leading causes of mortality and morbidity in both civilian and military populations. This paper summarizes recent progress in novel treatment strategies to manage BSI arising from both bacterial and fungal pathogens using molecules, particles, and materials to elicit host‐directed immunity.
Thomas Thomou, Jagadish Krishnappa, Justin B. Schaal, Prasad Tongaonkar, Dat Q. Tran, Wenchao Gu, Yung‐Fu Chang, Michael E. Selsted, Shaoyi Jiang, Samir Mitragotri, Michael Super, Christopher J. Bettinger   +11 more
wiley   +1 more source

Patterns, risk factors and management of CD19-directed chimeric antigen receptor T-cell therapy failure in CNS lymphoma. [PDF]

J Hematol Oncol
Kaulen LD, Karschnia P, Doubrovinskaia S, Abramson JS, Soumerai JD, Martinez-Lage M, Haydu JE, Shankar GM, Patel C, Choi BD, Barnes JA, El-Jawahri A, Hochberg EP, Johnson PC, Wick W, Maus MV, Chen YB, Frigault MJ, Dietrich J.   +18 more
europepmc   +1 more source

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Prior Authorization Requirements and Prescription Fill Patterns Among Patients With Heart Failure. [PDF]

JACC Adv
Mukhopadhyay A, Adhikari S, Li X, Kazi DS, Berman AN, Kronish I, Hamo C, Dodson JA, Chunara R, Ladino N, Reynolds HR, Katz SD, Blecker S.   +12 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source