Results 171 to 180 of about 211,509 (290)

Factors Associated with Inconveniences in Daily At-home Living among Adults with Achondroplasia. [PDF]

Prog Rehabil Med
Ajimi A, Matsushita M, Kitoh H, Mishima K, Sawamura K, Imagama S.   +5 more
europepmc   +1 more source

Flexible 3D Multi‐Material Printing beyond Layer‐by‐Layer Constraints via Sequential Multi‐Printer Fabrication

Advanced Materials Technologies, EarlyView.
We developed a flexible multi‐material printing strategy that employs sequential printing with different printers. This combined use of printers expands the accessible material scope. Moreover, incorporating Xolography as a sequential step enables support‐free, contactless printing, thereby enhancing structural design flexibility beyond conventional ...
Kun Zhou, Cyrille Boyer
wiley   +1 more source

Electrical Burns: A Retrospective Study at the Lebanese Burn Center in Geitaoui Hospital, Lebanon (2011-2024). [PDF]

Int Wound J
Moukawam E, Aoun CB, Aoun CB, Sfeir J, Hankach Z, Chebl R, Ghanime G, Sleiman Z.   +7 more
europepmc   +1 more source

Tunable Applicator for Microneedle‐Based Medical Devices

Advanced Materials Technologies, EarlyView.
This paper presents a simple, low‐cost tunable applicator (TAPP) for microneedle array patches that uses a material‐agnostic controlled‐fracture mechanism to ensure reliable skin penetration and uniform array engagement. The scalable, modular design is compatible with injection molding and 3D printing, can be integrated directly into patches, and is ...
Dan Ilyn, Jihyun (Luna) Hwang, Ian A. Coates, Jacob Dobson, Andy H. Hung, Netra U. Kamat, John R. Tumbleston, Maria T. Dulay, Gunilla B. Jacobson, Joseph M. DeSimone   +9 more
wiley   +1 more source

Electrical current injury shows no specific acute histological changes in peripheral nerves and their vascular supply. [PDF]

Sci Rep
Kulvajtová M, Matěj R, Zajíček R, Bednář F.   +3 more
europepmc   +1 more source

Micro Elastofluidics for Tuneable Droplet Merging

Advanced Materials Technologies, EarlyView.
This technical paper provides a proof of concept of fully flexible and stretchable microfluidic technology for tuneable droplet mixing and merging. The phenomenon is justified through theoretical, numerical and experimental studies. ABSTRACT Droplet microfluidics enables precise handling of discrete fluid volumes at the microscale, with broad ...
Uditha Roshan, Amith Mudugamuwa, Xiaoyue Kang, Prabuddha De Saram, Fariba Malekpour Galogahi, Du Tuan Tran, Lingxi Ouyang, Jun Zhang, Nam‐Trung Nguyen   +8 more
wiley   +1 more source

Forensic analysis of deaths from train and subway surfing. [PDF]

Int J Legal Med
Amadasi A, Amadasi L, Berti L, Oesterhelweg L.   +3 more
europepmc   +1 more source

Understanding Ionic Flow in Nanofluidic Blind‐Hole Anodic Aluminum Oxide (AAO) Membranes for Osmotic Energy Generation

Advanced Materials Technologies, EarlyView.
Anodic aluminum oxide (AAO) membranes have traditionally served as structural supports in osmotic energy systems. Here, blind‐hole AAO membranes are demonstrated as active ion‐selective platforms with tunable nanopore structures. By balancing membrane resistance, ion selectivity, and flux, enhanced performance is achieved, delivering a maximum power ...
Khanh Nhien Vu, Charles Lord, Juan Wang, Andrew D. Abell, Woo Lee, Abel Santos, Cheryl Suwen Law   +6 more
wiley   +1 more source

Epidemiological characteristics of pediatric patients with burn complications and influence between 2016 and 2021: a multi-center retrospective study. [PDF]

Transl Pediatr
Liu X, Liu J, Wang X, Feng G, Zhao X, Chen K.   +5 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source