Results 171 to 180 of about 163,406 (260)

Robot-assisted <i>vs</i> hand-assisted laparoscopic donor nephrectomy in the United Kingdom: Equivalent outcomes in the first national series. [PDF]

World J Transplant
Christou CD, Antoniadis S, Majumder A, Zakri R, Olsburgh J, Callaghan C, Papadakis G, Sran K, Drage M, Decaestecker K, Challacombe B, Kessaris N, Loukopoulos I.   +12 more
europepmc   +1 more source

Positive‐Tone Nanolithography of Antimony Trisulfide with Femtosecond Laser Wet‐Etching

Advanced Functional Materials, EarlyView.
A butyldithiocarbamic acid (BDCA) etchant is used to fabricate various micro‐ and nanoscale structures on amorphous antimony trisulfide (a‐Sb2S3) thin film via femtosecond laser etching. Numerical analysis and experimental results elucidate the patterning mechanism on gold (reflective) and quartz (transmissive) substrates.
Abhrodeep Dey, Uwe Hübner, Albane Benardais, Xiaofei Wu, Andrea Dellith, Jan Dellith, Torsten Wieduwilt, Henrik Schneidewind, Markus A Schmidt, Virginie Nazabal, Volker Deckert, Jer‐Shing Huang, Wei Wang   +12 more
wiley   +1 more source

Individual and Societal Economic Burden of Chronic Rhinosinusitis with or Without Nasal Polyps. [PDF]

Med Sci (Basel)
Håkansson KEJ, Andersen SAW, Løkke A, Hilberg O, Ibsen R, Ulrik CS, Backer V.   +6 more
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

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

Impact of digital economy on residents' medical cost: an empirical analysis based on interprovincial data from China. [PDF]

Front Public Health
Zheng K, Guo Y, Zhang R, Wu J, Ma A, He S, Huang Y, Wang H, Lin S, Li Y, Wang X.   +10 more
europepmc   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Sociodemographic Risk Factors for Incomplete Routine Childhood Immunizations Among Children Born During the COVID-19 Pandemic, Louisiana, March 1, 2020-July 1, 2021. [PDF]

Public Health Rep
Bakshi A, Zhao N, Kar S, Truong A, Sheikh F.   +4 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

Using a Co-Designed Digital Self-Management Program to Prepare Patients for Hip or Knee Replacement Surgery: Pragmatic Pilot Study. [PDF]

JMIR Rehabil Assist Technol
Horton E, Wright H, Turner A, Moody L, Aphramor L, Carlson A, Ghiasvand H, Palmer S.   +7 more
europepmc   +1 more source