Results 121 to 130 of about 135,466 (228)

Optimizing the Energy Product in Core-Shell Nanoparticle Magnets: General Guidelines and the FePt/CoFe System. [PDF]

Materials (Basel)
Panagiotopoulos I, Basina G, Nezou G, Konstadinidis A, Alexandrakis V, Hadjipanayis G, Tzitzios V.   +6 more
europepmc   +1 more source

An All‐Textile, Mechano‐Capacitive Subtle Movement Sensor

Advanced Functional Materials, EarlyView.
A robust all‐textile capacitive sensor is introduced for measuring subtle body movements without long‐term degradation. By separating mechanical deformation from electrical sensing elements, accuracy, responsiveness, and durability are improved. Simple fabrication methods are presented, electrode effects are analyzed, and performance is validated ...
Easa AliAbbasi, Rachel Freire, Valentin Martinez‐Missir, Vineetha Rallabandi, Paul Strohmeier   +4 more
wiley   +1 more source

A practical technique to facilitate glenosphere insertion in reverse shoulder arthroplasty: Bilsel's Ice Cream Scoop Maneuver. [PDF]

JSES Rev Rep Tech
Bilsel K, Keçeci T, Çelik M, Şahin K, Kapıcıoğlu M.   +4 more
europepmc   +1 more source

Water Adsorption‐Induced Color Sensor: Insight Into the Sensing Mechanism and Interfacial Engineering for Improved Responsiveness

Advanced Functional Materials, EarlyView.
We report a unique color‐sensing phenomenon of a TiO2/SbSI:Sb2S3 device utilizing X‐ray absorption. Based on the revealed penetration and adsorption of water onto TiO2, we successfully improved the color response speed and sensitivity by incorporating a hydrophilic polymer interlayer, thereby opening up opportunities for photodetection applications ...
Tai Kobayashi, Ryosuke Nishikubo, Yusuke Tomiyori, Fumitaka Ishiwari, Daisuke Asakura, Eiji Hosono, Miho Kitamura, Hisao Kiuchi, Yoshihisa Harada, Akinori Saeki   +9 more
wiley   +1 more source

Effectiveness of Intra-oral Non-skeletally Anchored Appliances in the Correction of Skeletal Class III Malocclusion in Growing Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. [PDF]

Cureus
Kourbaj YM, Hajeer MY, Kara-Boulad JM, Zakaria AS, Abou Nassar JN, Alfailany DT, Alam MK.   +6 more
europepmc   +1 more source

Bioinspired Hierarchically Interconnected Supermacroporous Hydrogels via Dual‐Templating for Rapid Atmospheric Water Harvesting

Advanced Functional Materials, EarlyView.
Inspired by lung alveolar architecture, a dual‐templating strategy combining CO2 bubble and ice templating creates mechanically robust super‐macroporous hydrogels with highly interconnected transport pathways. The resulting material achieves 3.37× faster moisture sorption and 1.72× higher solar‐driven water release than single‐templated counterparts ...
Pan Huang, Weiyan Zhu, Yuanyuan Wang, Hanxiao Zhang, Ying Hu, Siyuan Yang, Wenshuai Yang, Hongbo Zeng   +7 more
wiley   +1 more source

Fabrication of Paper Microfluidic Chips via Wax Soft Lithography. [PDF]

Micromachines (Basel)
Chen X, Zhou J, Zhong J, Ye Z, He Q, Chen H, Guo W.   +6 more
europepmc   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Soft Tissue Coverage Options Following Total Hip Arthroplasty: What to Do When a Wound Breaks Down. [PDF]

Arthroplast Today
Harper KD, Maiorino E.
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source