Results 121 to 130 of about 19,117 (286)

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Calcineurin‐Dependent Stress Adaptation Enables Caspofungin Heteroresistance Leading to Stable Resistance in Candida Glabrata

Advanced Science, EarlyView.
Caspofungin heteroresistance is prevalent in clinical Candida glabrata isolates and depends on calcineurin‐mediated stress adaptation. This transient phenotype serves as a reservoir for resistance evolution, enabling the emergence of stable resistant descendants under prolonged drug pressure.
Yanyu Su, Yi Li, Meng Xiao, Dan Guo, David S. Perlin, Erika Shor, Yingchun Xu, Yingxing Li   +7 more
wiley   +1 more source

Covert Communications in a Hybrid DF/AF Relay System

Sensors
In this paper, we study covert communications in a hybrid decode-and-forward (DF)/ amplify-and-forward (AF) relay system. The considered relay in normal operation forwards messages from a source node to a destination node in either DF or AF mode on ...
Jihwan Moon
doaj   +1 more source

Radiation Resilient Synthetic Antiferromagnets‐Based Neuromorphic Device for Sea Surface Temperature Reconstruction

Advanced Science, EarlyView.
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song, Jiahao Liu, Ruisheng Hu, Teng Xu, Aihua Tang, Zhihong Zhu   +5 more
wiley   +1 more source

Outage Analysis of Parasitic Ambient Backscatter Communication in Decode-and-Forward Relay Networks with SWIPT. [PDF]

Sensors (Basel), 2020
Tuo Y, Zhang C.
europepmc   +1 more source

On I/Q imbalance effects in full-duplex OFDM decode-and-forward relays

, 2014
We analyze the outage probability of dual-hop full-duplex decode-and-forward relaying for an orthogonal frequency division multiplexing system in the presence of I/Q imbalance.
M. Mokhtar, Al-Dhahir, N., R. Hamila, Mokhtar, M., Hamila, R., N. Al-Dhahir   +5 more
core   +1 more source

Introducing Borsantrazole: A Trifunctional Boron‐Based Pyrazole That Extends the Lifespan of Amyotrophic Lateral Sclerosis Mice

Advanced Science, EarlyView.
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai, Rhonda Kelley, Ying Lao, M. Immanuel Reyes Madlangsakay, Prasanta Paul, M. Alejandra Llanes‐Cuesta, Jun‐Feng Wang, René P. Zahedi, Jiming Kong, Geoffrey K. Tranmer   +9 more
wiley   +1 more source

Throughput Analysis of Buffer-Aided Decode-and-Forward Wireless Relaying with RF Energy Harvesting. [PDF]

Sensors (Basel), 2020
Huynh P, Phan KT, Liu B, Ross R.
europepmc   +1 more source

Recovering multiplexing loss through concurrent decode-and-forward (DF) relaying

, 2009
In this paper, we develop a novel digital cooperative diversity transmission protocol for a two-source scenario by combining the two sources' two classic decode-and-forward (DF) relaying steps and using 2L + 1 time slots to transmit L codewords from each
Thompson, John,, Wang, Chao,, Fan, Yijia,   +2 more
core   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source