Results 51 to 60 of about 294,174 (333)

Power-constrained edge computing with maximum processing capacity for IoT networks [PDF]

open access: yes, 2019
Mobile edge computing (MEC) plays an important role in next-generation networks. It aims to enhance processing capacity and offer low-latency computing services for Internet of Things (IoT).
Chen, Li   +5 more
core   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Green resource allocation for mobile edge computing

open access: yesDigital Communications and Networks, 2023
We investigate the green resource allocation to minimize the energy consumption of the users in mobile edge computing systems, where task offloading decisions, transmit power, and computation resource allocation are jointly optimized.
Anqi Meng   +4 more
doaj   +1 more source

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

Resource allocation techniques in cloud computing

open access: yes, 2021
A great leap forward in customer loyalty has been made due to advances in real-time technology like cloud computing. Inexpensive storage has drastically reduced the cost of data storage, and resulting in more effective data management. On-the-the-the-fly demand, customers have varying needs with finite resources, it is difficult to meet all of the ...
Kumar, Atul   +2 more
openaire   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner   +14 more
wiley   +1 more source

Resource allocation in UAV assisted air ground intelligent inspection system

open access: yesCognitive Robotics, 2022
With the progress of power grid technology and intelligent technology, intelligent inspection robot (IR) came into being and are expected to become the main force of substation inspection in the future.
Zhuoya Zhang   +3 more
doaj   +1 more source

Dynamic Pricing in Edge computing Resource Allocation Based on Stackelberg Dynamic Game [PDF]

open access: green, 2023
Bingjie Liu   +5 more
openalex   +1 more source

Dynamic Resource Allocation in Cloud Computing

open access: yesActa Polytechnica Hungarica, 2017
Free to read on publisher's website Utilizing dynamic resource allocation for load balancing is considered as an important optimization process in cloud computing. In order to achieve maximum resource efficiency and scalability in a speedy manner this process is concerned with multiple objectives for an effective distribution of loads among virtual ...
Mousavi, Seyedmajid   +3 more
openaire   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

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