Results 111 to 120 of about 168,960 (256)
Boosting Conversion Efficiency in Zn3P2/InP Solar Cells Via Nanoscale Junction Engineering
This study demonstrates the efficacy of selective area epitaxy (SAE) in enhancing the conversion efficiency of a Zn3P2${\rm Zn}_3{\rm P}_2$/InP heterojunction solar cell. The impact of the SAE pattern dimensions on the performance parameters is investigated. Small size opening limits Jsc because of current crowding whereas large size opening limits Voc
Raphael Lemerle +14 more
wiley +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Stability of Medicinal Nanoemulsions to Spaceflight: Insights From the StarMed Experiment
Chitosan‐coated melatonin nanoemulsions (MN) recovered from a sounding rocket mission preserve droplet size and controlled‐release behavior, whereas uncoated nanoemulsions show ageing‐driven droplet growth and increased accessible drug fraction. Simple polymer coatings thus enhance the flight resilience of liquid space medicines under cumulative launch
Modupe Adebowale +4 more
wiley +1 more source
Performance analysis of secrecy rate for SWIPT in massive antenna
In the multi-drop broadcast system,the existing research is to optimize the single-user security rate in the complete channel state information.In fact,it’s impossible that there exists only one user in the system.The base station often receives ...
Hui BAO +3 more
doaj
Biocompatible hydrogels with covalently embedded near‐infrared phosphorescent probes enable local tissue pO2 quantification by means of Cherenkov‐excited luminescence imaging (CELI), where optical excitation occurs within tissues upon irradiation with high‐energy electron beams.
Simin Belali +7 more
wiley +1 more source
Artificial Residual Noise in Machine Learning
Innen området for digital etterforskning av lyd har det vært en viss skepsis til bruken av maskinlæringsmodeller i forbindelse med fjerning av bakgrunnsstøy. Selv om støydemping ved hjelp av maskinlæring kan gi både effektivitet og hjelpe til med å håndtere mengden data som en etterforsker vil stå overfor, har det ikke blitt tatt i bruk som en ...
openaire +1 more source
A porous parylene‐coated electrode loaded with dexamethasone was developed to reduce inflammation after cochlear implantation. In guinea pigs, the device provided sustained drug release, maintained biocompatibility, improved auditory brainstem response thresholds, and reduced inflammatory cell infiltration and TNF‐α expression.
Chi‐Chieh Chang +11 more
wiley +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Providing Differential Privacy for Federated Learning Over Wireless: A Cross-Layer Framework
Federated Learning (FL) is a distributed machine learning framework that inherently allows edge devices to maintain their local training data, thus providing some level of privacy.
Jiayu Mao +3 more
doaj +1 more source

