Results 51 to 60 of about 126,991 (260)

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

Study on Air Interface for Macbine-Type Communication over LTE-Advanced Network

Dianxin kexue, 2015
With the widespread deployment and use of MTC（machine-type communication）devices,MTC has been closely integrated with the mobile communication network.Significant increase in the number of MTC devices causes more strict requirements for communication ...
Minghao Wu, Ziwei Zheng
doaj  

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Traffic modeling for machine type communication and its overload control

Tongxin xuebao, 2013
Machine type communications (MTC),defined as machine to machine communication over cellular mobile network,is an integral part of future ubiquitous network and has broad application prospects and market potentials.To carry out the performance analysis of
Xin JIAN, Xiao-ping ZENG, Yun-jian JIA, Jun-yi YANG, Yuan HE   +4 more
doaj   +2 more sources

Satellite Machine-Type Communication for Maritime Internet of Things: An Interference Perspective

IEEE Access, 2019
Satellite machine-type communication plays a crucial role in the maritime Internet of Things. The realization of such a system, i.e., the VHF data exchange (VDES) satellite system, however, faces many technical challenges.
Tingting Xia, Michael Mao Wang, Xiaohu You   +2 more
doaj   +1 more source

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

IEEE Access, 2020
Massive machine-type communication (mMTC) and ultra-reliable and low-latency communication (URLLC) are two key service types in the fifth-generation (5G) communication systems, pursuing scalability and reliability with low-latency, respectively.
Shiva Raj Pokhrel, Jie Ding, Jihong Park, Ok-Sun Park, Jinho Choi   +4 more
doaj   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Statistical QoS provisioning for MTC networks under finite blocklength

EURASIP Journal on Wireless Communications and Networking, 2018
This paper analyzes the effective capacity of delay-constrained machine-type communication (MTC) networks operating in the finite blocklength regime. First, we derive a closed-form mathematical approximation for the effective capacity in quasi-static ...
Mohammad Shehab, Endrit Dosti, Hirley Alves, Matti Latva-aho   +3 more
doaj   +1 more source