Results 101 to 110 of about 67,994 (218)

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

Antioxidant Activity, LC-MS/MS Identification and <i>In Silico</i> Analysis of the Ethanol Extract of Beneng Taro Leaves (<i>Xanthosoma undipes</i> K. Koch) Grown in Three Different Locations. [PDF]

Trop Life Sci Res
Widiastuti D, Hariyanto RD, Sinaga SE, Putra WE, Sustiprijatno, Manzila I, Suhendar MA, Triastinurmiatiningsih, Diantina S.   +8 more
europepmc   +1 more source

An Imaging‐Guided, Patient‐Specific Guiding Aid (RWNGuide) for Safe and Reproducible Inner Ear Drug Delivery

Advanced Materials Technologies, EarlyView.
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo, Shanshan Jiang, Yimian Luo, Adele Moatti, Farnaz Matin‐Mann   +4 more
wiley   +1 more source

Disciplinary trends in spatial concept associations: a multifaceted analysis of student responses. [PDF]

Front Psychol
Özkaya A, Turan S, Uzun A, Akhan O.
europepmc   +1 more source

A Direction‐Aware Piezo‐Transmittance Strain Sensor via Engineered Alignment of Carbon Nanotubes (CNTs)

Advanced Materials Technologies, EarlyView.
A direction‐aware piezo‐transmittance strain sensor is realized through the engineered alignment of carbon nanotubes. This anisotropic architecture instantaneously modulates optical transmittance, achieving ultra‐high sensitivity and exceptionally low hysteresis. By effectively eliminating signal crosstalk to precisely decouple multidirectional strains,
Byeongmin Kang, Kwangjun Kim, Jimin Gu, Junseong Ahn, Yongrok Jeong, Ji‐Hwan Ha, Sohee Jeon, Soonhyoung Hwang, Byung‐Ho Kang, Jihyeon Ahn, Jong‐An Choi, Minwook Kim, Yeonguk Jung, Jun‐Ho Jeong, Jong G. Ok, Inkyu Park   +15 more
wiley   +1 more source

First-passage-based boundary estimation in functional data. [PDF]

PLoS One
Kuzu AT, Celik N.
europepmc   +1 more source

Coaxial Melt Electrowriting

Advanced Materials Technologies, EarlyView.
Coaxial melt electrowriting is established to produce dual‐property microfibers with diameters spanning 1.6–29.2 µm. Stable coaxial laminar flow is preserved under electrohydrodynamic thinning, enabling controlled binary and gradient material switching within individual continuous fibers.
Patrick C. Hall, D. Iman von Briesen, Maya Kasteleiner, Gabriela M. Bailey, Diana Ostojich, Harrison W. Reid, Andre Olarra, Benjamín J. Alemán, Simon Luposchainsky, Biranche Tandon, Ramesh Jasti, Paul D. Dalton   +11 more
wiley   +1 more source

RAREsim2: flexible simulation of rare variant genetic data using real haplotypes. [PDF]

Bioinformatics
Murphy JI, Barnard R, Null M, Hendricks AE.   +3 more
europepmc   +1 more source

Modeling Light‐Induced Synaptic Behavior and Visual Memory of Azopolymeric Compounds

Advanced Optical Materials, EarlyView.
In the framework of neuromorphic hardware it is essential to predict the evolution of the internal state of the devices mimicking synaptic functionalities to perform in‐silico modeling of specific computational tasks. Here, we provide a rate‐balance equation model to describe the synaptic‐like response of light‐actuated azopolymeric compounds and ...
Mateo Rosero‐Realpe, Federico Ferrarese Lupi, Gianluca Milano, Angelo Angelini   +3 more
wiley   +1 more source

An RVFLNs ensemble modeling method integrating PCA and PSO: Application to yield prediction of Nongxiang Baijiu. [PDF]

PLoS One
Han Q, Xu Y, Zhang S, Deng Q, Deng L, Zhang L, Qin H, Zhao J, Liu B.   +8 more
europepmc   +1 more source