Results 151 to 160 of about 534,538 (278)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Impact of Hearing Impairment on Independent Travel in Individuals With Normal Vision, Low Vision, and Blindness. [PDF]

Trends Hear
Reed P, Nemargut JP, Goldstein JE, Dirks CE, Xiong Y.   +4 more
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Low vision services in sub-Saharan Africa: a systematic review. [PDF]

Front Health Serv
Akuffo KO, Kyeremeh S, Agyekum S, Osei Duah Junior I, Ampong J, Okine M, Andoh AKA, Agbeshie GK, Boateng JA, Mensah NAO, Eisenbarth W.   +10 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Advancing the Utility of Low-Vision Aids in the Rehabilitation of Vision in Unclassified Macular Dystrophy: A Report of a Rare Disease. [PDF]

Cureus
Seelan Samuel S, Kumaran SL, Bhattacharya S, Veerapandian P, Annamalai R.   +4 more
europepmc   +1 more source

Low Vision [PDF]

, 2020
openaire   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

Individual and school-level factors associated with suspected pediatric eye disorders and referral adherence in an enhanced school-based vision screening program in Ghana. [PDF]

PLOS Glob Public Health
Asare AO, Ablordeppey P, Ansah-Asiedu E, Doku ET, Agbeshie GK, Gle SA, Mensah NAO, Adikah RE, Yeboah CN, Baidoo DA, Darko CK, Arkhurst EE, Watt MH, Acquah EA, Afake H, Agyekum S, Akuffo KO.   +16 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