Results 121 to 130 of about 445,436 (311)

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

A bright polarization-entangled photon pair source based on silicon photonics integration

APL Photonics
Developing a high-quality, bright source of polarization-entangled photon pairs on CMOS-compatible integrated platforms, such as silicon or silicon nitride, remains a significant challenge. Here, a novel silicon chip-based nonlinear Sagnac interferometer,
Xin Hua, Xu Yan, Lu Xu, Ying Zhu, Min Liu, Jie Yan, Daigao Chen, Hongguang Zhang, Xi Xiao   +8 more
doaj   +1 more source

A comparative acoustic analysis of non-verbal vocalisations in film dubbing

East European Journal of Psycholinguistics
This study explores the translation of non-verbal vocalisations in dubbing and examines their role in maintaining the authenticity and emotional depth of audiovisual performance.
Artur Gudmanian, Iryna Struk, Halyna Yencheva, Alla Sitko   +3 more
doaj   +1 more source

Special Issue on Bright Information and Communication Technologies in the 21st Century. [PDF]

Inf Syst Front, 2023
Kim DJ, Bose I, Mukhopadhyay A.
europepmc   +1 more source

Invisible Polymer Walls Enhance Reorientational Optical Nonlinearity in Oligothiophene‐Doped Liquid Crystals

Advanced Functional Materials, EarlyView.
The polymer wall stabilized dye‐doped liquid crystals (PWLCs) enhance the sensitivity of photoinduced molecular reorientation in dye‐doped LC systems. The PWLC with an invisible polymer wall successfully reduces the threshold intensity and functions as an optical limiter under the incidence of low intensity light laser source.
Junki Yokota, Yuya Nakata, Erika Katayama, Miho Aizawa, Kyohei Hisano, Shoichi Kubo, Atsushi Shishido   +6 more
wiley   +1 more source

Supporting Collaboration in Rehabilitation Trajectories With Information and Communication Technologies: Scoping Review. [PDF]

JMIR Rehabil Assist Technol, 2023
Gåsvær JI, Jepsen R, Heldal I, Sudmann T.   +3 more
europepmc   +1 more source

‘I Don’t Trust the Phone; It Always Lies’:Trust and Information and Communication Technologies in Tanzanian Micro- and Small Enterprises

, 2006
Despite its importance in African enterprise, the issue of “trust” is absent in information and communication technology for development scholarship. This article examines three case study subsectors of the Tanzanian economy to shed light on some of the ...
Molony, Thomas; id_orcid, Molony, Thomas
core  

Unraveling the Electronic Structure of Silicon Vacancy Centers in 4H‐SiC

Advanced Functional Materials, EarlyView.
The electronic structure of the silicon vacancy in 4H‐SiC is probed via transient absorption spectroscopy, uncovering previously inaccessible excited states of the quartet and doublet spin channels, including the V2' transition. In combination with theoretical analysis, a comprehensive picture of the electronic structure is established.
Ali Tayefeh Younesi, Minh Tuan Luu, Christopher Linderälv, Vytautas Žalandauskas, Marianne Etzelmüller Bathen, Nguyen Tien Son, Takeshi Ohshima, Gergő Thiering, Lukas Razinkovas, Ronald Ulbricht   +9 more
wiley   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Probabilistic and deep learning approaches for conductivity-driven nanocomposite classification

Scientific Reports
To foster greater trust and adoption of machine learning models, particularly neural networks, it is essential to develop approaches that quantify and report epistemic uncertainties alongside random uncertainties, which often affect the accuracy of ...
Wejden Gazehi, Rania Loukil, Mongi Besbes   +2 more
doaj   +1 more source