Results 51 to 60 of about 3,543 (266)

In-Vivo Characterization of Healthy Retinal Pigment Epithelium and Photoreceptor Cells from AO-(T)FI Imaging

Vision
We provide an automated characterization of human retinal cells, i.e., RPE’s based on the non-invasive AO-TFI retinal imaging and PR’s based on the non-invasive AO-FI retinal imaging on a large-scale study involving 171 confirmed healthy eyes from 104 ...
Sohrab Ferdowsi, Leila Sara Eppenberger, Safa Mohanna, Oliver Pfäffli, Christoph Amstutz, Lucas M. Bachmann, Michael A. Thiel, Martin K. Schmid   +7 more
doaj   +1 more source

ORBIT‐AMD: Ordinal Risk, Bilateral Imaging, and Trajectory Learning for Age‐Related Macular Degeneration in Multi‐Cohorts

Advanced Science, EarlyView.
Eligibility flow and real‐world AMD burden in the UKB retinal imaging cohort and TMUEH external‐validation cohort. Overview of the ORBIT‐AMD architecture, integrating retinal representation pretraining, bilateral eye‐graph modeling and concept bottleneck learning to support ordered risk, bilateral context, interpretable lesion concepts, longitudinal ...
Xuehao Cui, Dejia Wen, Patrick Yu‐Wai‐Man, Xiaorong Li   +3 more
wiley   +1 more source

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Outage Analysis of a Cognitive Radio System With Nakagami-m Fading and Cooperative Decode and Forward Relaying

IEEE Access
The advent of the next generation of wireless communication (NextGen) demands substantial investments and collaborative research for the fundamental need of wireless communications.
Muhammad Farooq, Anwar Khan, Musaed Alhussein, Hasan Mahmood, Khursheed Aurangzeb, Surbhi Bhatia Khan   +5 more
doaj   +1 more source

Max Dehn, un math\'ematicien aux pr\'eoccupations universelles

, 2006
Comment: 4 pages in french. This is a free summary of a much longer article published in german in "Forschung Frankfurt"
Burde, G., Schwarz, W., Wolfart, J., Coste, A. D.   +3 more
openaire   +1 more source

Assessing Household Welfare in Response to Rising Food Prices in The Gambia

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT This study examines how rising food prices affected household welfare in The Gambia using nationally representative data from the 2015/16 Integrated Household Survey (IHS‐3). The analysis reflects household consumption behavior and market conditions prevailing during that period and provides a structural benchmark for understanding ...
Roger Vorsah, Obed Quaicoe, Fafanyo Asiseh, John N. Ng'ombe   +3 more
wiley   +1 more source

Effects of Outsourced Agricultural Extension Services on the Technical Efficiency and Financial Returns of Soybean Farms in Northern Cameroon

Agribusiness, EarlyView.
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda, Doria A. Medondjeu, Dorothy E. Fon, Stefan Sieber   +3 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Analysis of Impact of Air-Gap Length and Superconducting Coil-to-Stator Distance in Superconducting Vernier Machines

IEEE Access
This paper investigates the influence of air-gap length ( $l_{ag}$ ) and the distance between the superconducting coil and the stator ( $l_{sc}$ ) on the electromagnetic performance of a conventional Superconducting Machine (SCM) and a Superconducting ...
Jian Ye, Guang-Jin Li
doaj   +1 more source

Adversarial Erasing Enhanced Multiple Instance Learning (siMILe): Discriminative Identification of Oligomeric Protein Structures in Single Molecule Localization Microscopy

Advanced Intelligent Systems, EarlyView.
Hallgrimson et al. introduce a machine learning algorithm, siMILe, that takes features of single‐molecule localization microscopy localization clusters (e.g., size and sphericity) and finds the clusters that are associated with certain cell conditions (such as differential protein expression or drug treatment).
Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh   +8 more
wiley   +1 more source