Federated learning is a newly emerged distributed deep paradigm, where the clients separately train their local neural network models with private data and then jointly aggregate global model at central server. Mobile edge computing aimed deploying mobile applications of wireless networks. in prospective framework to deploy algorithms many application scenarios. The bottleneck federated intensive resources computation, bandwidth, energy, data. This article first illustrates typical use cases...

Artificial intelligence generated content (AIGC) has emerged as a promising technology to improve the efficiency, quality, diversity and flexibility of creation process by adopting variety generative AI models. Deploying AIGC services in wireless networks been expected enhance user experience. However, existing service provision suffers from several limitations, e.g., centralized training pre-training, fine-tuning, inference processes, especially their implementations with privacy...

As a distributed learning approach, federated trains shared model over datasets while preserving the training data privacy. We extend application of to parking management and introduce FedParking in which Parking Lot Operators (PLOs) collaborate train long short-term memory for space estimation without exchanging raw data. Furthermore, we investigate Parked Vehicle assisted Edge Computing (PVEC) by FedParking. In PVEC, different PLOs recruit PVs as edge computing nodes offloading services...

Dihydromyricetin (DHM) exerts protective effects in various brain diseases. The aim of this research was to investigate the biological role DHM cerebral ischemia reperfusion (I/R) injury.We generated a rat model I/R injury by performing middle artery occlusion/reperfusion (MCAO/R). neurological score and water content experimental rats then evaluated. infarct volume extent apoptosis tissues assessed 2,3,5-triphenyltetrazolium (TTC) TdT-mediated dUTP nick end labeling (TUNEL) staining....

Integrated terrestrial and non-terrestrial networks (TNTNs) have become promising architecture for enabling ubiquitous connectivity. Smart remote sensing is one of the typical applications TNTNs that collects analyzes various dimensions data by deploying Internet Things (IoT) sensors edge computing in terrestrial, space, aerial, underwater networks. To improve analysis accuracy data, owners different should conduct collaborative learning on while label privacy be jointly considered. However,...

Distributed Artificial Intelligence (AI) model training over mobile edge networks encounters significant challenges due to the data and resource heterogeneity of devices. The former hampers convergence rate global model, while latter diminishes devices' utilization efficiency. In this paper, we propose a generative AI-empowered federated learning address these by leveraging idea FIlling MIssing (FIMI) portion local data. Specifically, FIMI can be considered as resource-aware augmentation...

Anthracyclines are potent antineoplastic agents associated with cardiotoxicity, which may lead to congestive heart failure, causing impairment of autonomic cardiovascular function as assessed by rate variability (HRV). This decreases survival rates. study aimed determine whether music therapy intervention improves in anthracycline-treated breast cancer patients, and if so, such improvements persist after cessation the intervention. Participants were 12 women who had undergone mastectomy or...

Objective: This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts their articulators removed. Because removal articulator, a patient's may be distorted and difficult to understand. To overcome this problem, VC methods can applied convert such that it is clear more intelligible. design an effective method, two key points must considered: 1) amount training data limited (because speaking...

Parked vehicle edge computing (PVEC) is proposed to enhance the resource capacity of vehicular networks by utilizing resources from parked vehicles (PVs). Toward flexible and fine-grained usage, we integrate container-based virtualization with PVEC for ensuring task execution in PVs fast response, increased scalability, high efficiency. Then study a social welfare maximization problem maximize overall utilities users computation offloading. The decomposed into two subproblems determining...

In this work, we investigate the challenging problem of on-demand federated learning (FL) over heterogeneous edge devices with diverse resource constraints. We propose a cost-adjustable FL framework, named AnycostFL, that enables to efficiently perform local updates under wide range efficiency To end, design model shrinking support training elastic computation cost, and gradient compression allow parameter transmission dynamic communication overhead. An enhanced aggregation is conducted in...

Background and Aims Arsenic trioxide (As2O3), which used as an effective agent in the treatment of leukaemia other solid tumors, is largely limited by its toxicity. QT prolongation, torsades de pointes sudden heart death have been implicated cardiotoxicity As2O3. The present study was designed to explore whether combination As2O3 resveratrol could generate a more powerful anti-cancer effect both vitro vivo. Materials Methods MTT assay performed assess proliferation Hela, MCF-7 NB4 cells....

Model update compression is a widely used technique to alleviate the communication cost in federated learning (FL). However, there evidence indicating that compression-based FL system often suffers following two issues, i) implicit performance deterioration of global model due inaccurate update, ii) limitation sharing same rate over heterogeneous edge devices. In this paper, we propose an energy-efficient framework, named Snowball, enables devices incrementally upload their updates...

Objectives To determine whether newborn hearing screening in a well-baby nursery (WBN) and neonatal intensive care unit (NICU) nursery: 1) meet three targeted, screening, referral, diagnostic follow-up rates; 2) compare the average age of diagnosis for infants admitted to WIN NICU; 3) prevalence loss population; 4) try find practical time algorithm reduce refer rate NICU Materials Methods It examined 15,624 newborns WBN (13,676) (1948) screened congenital HL using AABR. The variables...

The smart ocean has been regarded as an integrated sensing, communication, and computing ecosystem developed for connecting marine objects in surface underwater environments. development of the is expected to support a variety applications services such resource exploration, disaster rescuing, environment monitoring. However, complex dynamic environments limited network resources raise new challenges communication computing, especially these computing-intensive delay-sensitive tasks....

Federated learning (FL) is a promising training paradigm to achieve ubiquitous intelligence for future 6G communication systems. However, it challenging apply FL in 6G-enabled edge system since decentralized consumes considerable energy and mobile devices are mostly battery-powered resource-constrained. The intensive computation cost of local updates accumulated by hundreds global rounds bring about the bottleneck, which exacerbated when data non identically independently distributed...

Arsenic trioxide (As2O3), an effective agent to treat leukemia and other solid tumors, is largely limited by its toxicity. QT prolongation, torsades de pointes sudden death have been implicated in the cardiotoxicity of As2O3. The present study was designed assess whether combination As2O3 tetrandrine could generate a more powerful anti-cancer effect. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay performed for detecting proliferation HepG2 A549 cells treated with...

In illumination systems, it is often necessary to get a structure that can have good performance on uniformity. Although light-emitting diodes (LEDs) are replacing conventional light sources in they nonuniformity and large view angle. this paper, an LED system has been designed use color sequential replace the wheel for projector also mix you want. An optical element tapered pipe used structure, we investigate mechanism of irradiance distribution. It assists design different applications....