Results 41 to 50 of about 12,657 (255)

Somatostatin receptor 4 (SSTR4) is a tumor suppressor in cutaneous and head & neck squamous cell carcinomas

open access: yesMolecular Oncology, EarlyView.
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi   +6 more
wiley   +1 more source

Cognitive decode-and-forward relaying with successive interference cancelation

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
In this work, we study the cognitive decode-and-forward (DF) relaying, where a primary user (PU) communicates with an access point (AP), and in the same geographical region, a secondary source (SS) communicates to a secondary destination (SD) with ...
Chao Zhai, Lina Zheng, Weidong Guo
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian   +6 more
wiley   +1 more source

Power Efficient Decode-and-Forward Cooperative Relaying [PDF]

open access: yesIEEE Wireless Communications Letters, 2012
Cooperative communications have been proven to be effective in enhancing performance of wireless networks. In this letter, we introduce and propose adaptive relay-selection rules to offer a tradeoff between fairness and energy consumption at each node for a network with multiple, mutually cooperative nodes.
Zhengguo Sheng   +2 more
openaire   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Power allocation and capacity optimization of multi-relay cooperative communication system in tunnel

open access: yesGong-kuang zidonghua, 2015
The multi-relay cooperative communication system model in rectangular tunnel based on multimode channel model was established, and the channel capacity calculation formulas of multi-relay cooperative communication system in amplify and forward mode and ...
ZHAI Wenyan   +3 more
doaj   +1 more source

Performance Analysis of Wireless Power Transfer Enabled Dual Hop Relay System Under Generalised Fading Scenarios

open access: yesIEEE Access, 2022
Dual-hop relay communication systems have received extensive research attention due to their property of improving system reliability, spectral and power efficiency.
Daljeet Singh   +4 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Decode-and-Forward Relaying via Standard AWGN Coding and Decoding

open access: yesIEEE Transactions on Information Theory, 2016
A framework is developed for decode-and-forward-based relaying using standard coding and decoding that are good for the single-input single-output (SISO) additive white Gaussian noise channel. The framework is applicable to various scenarios and is demonstrated for several important cases.
Anatoly Khina   +3 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy