Results 251 to 260 of about 206,310 (335)

GLP-1RA and Liver Fibrosis Progression in MASLD and Type 2 Diabetes: Target Trial Emulation Using Propensity Score Matching. [PDF]

Liver Int
Choi J, Kamath T, Nguyen VH, Przybyszewski E, Song J, Carroll A, Michta M, Almazan E, Simon TG, Chung RT.   +9 more
europepmc   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Impact of Candida Care Bundle Compliance on the Prognosis of Patients With Candidemia: A Multicenter Retrospective Cohort Study With Propensity Score Matching Analysis (2016-2023). [PDF]

Open Forum Infect Dis
Akazawa H, Fukushima S, Higuchi T, Miyoshi T, Nakano Y, Iio K, Akamatsu Y, Haruki Y, Iwamoto Y, Tanaka S, Fujisato S, Ako S, Hagiya H.   +12 more
europepmc   +1 more source

Does Levosimendan hasten veno-arterial ECMO weaning? A propensity score matching analysis [PDF]

Nicolas Paulo, Antoine Kimmoun, David Hajage, Pierre Hubert, David Levy, Marc Pineton de Chambrun, Juliette Chommeloux, Ouriel Saura, Grégoire Del Marmol, Quentin Moyon, Guillaume Hékimian, Melchior Gautier, Charles Edouard Luyt, Guillaume Lebreton, Bruno Lévy, Alain Combes, Matthieu Schmidt   +16 more
openalex   +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

The Effect of Intravenous Parecoxib on Early Ambulation After Elective Lumbar Spinal Surgery: A Propensity Score Matching Analysis. [PDF]

J Clin Med
Ruksouy B, Pipanmekaporn T, Pin-On P, Atthakomol P, Boonsong P.   +4 more
europepmc   +1 more source

Syntax Score I and II for Predicting Carotid Artery Stenosis in Patients with Multivessel Coronary Artery Disease: A Propensity Score Matching Analysis

, 2019
Semi Öztürk, Mazlum Şahın
openalex   +1 more source

Photoluminescent UV Light Modulation via Anisometric Carbon Nanodots for UV–Visible Shutter and UV Sensor

Advanced Functional Materials, EarlyView.
Anisometric carbon nanodots are synthesized directly from a liquid crystal precursor and embedded into polymer network liquid crystals to create soft, multifunctional photonic films. These hybrid devices exhibit polarized photoluminescence, broad UV absorption, and fast, electrically tunable light modulation.
Mangesh D. Patekari, Archana Ramadas, Minhee Yun, Seung Hee Lee, MinSu Kim   +4 more
wiley   +1 more source

Association Between Nephrolithiasis and the Prevalence of Sarcopenia in Chinese Older Adults: A Cross-Sectional Study Using Propensity Score Matching. [PDF]

Clin Interv Aging
Wu C, Li XQ, Lu SS, Shen ZK, Lu X.
europepmc   +1 more source

Ultrahigh Strength with Suppressed Flow Instability at Liquid Helium Temperature via Coherent Nanoprecipitation in a Medium‐Entropy Alloy

Advanced Functional Materials, EarlyView.
It is demonstrated that severe lattice distortion and coherent nanoprecipitates overcome the strength–ductility dilemma and mitigate discontinuous plastic flow (DPF) at 4.2 K. Such microstructural design enhances both thermal and athermal stress components, leading to exceptional mechanical performance.
Min Young Sung, Tae Jin Jang, Sang Yoon Song, Chang‐Gi Lee, Jun Ho Lee, Young‐Kyun Kim, Sang‐Ho Oh, Byeong‐Joo Lee, Alireza Zargaran, Se‐Ho Kim, Young‐Sang Na, Seok Su Sohn   +11 more
wiley   +1 more source