Results 61 to 70 of about 20,846,472 (359)
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Automated spectrometer of deep levels for research semicon-ducting structures
Технологія та конструювання в електронній апаратурі, 2007 An automated spectrometer for investigating the parameters of impurity and defect centers in semiconductors and semiconductor structures using deep-level transient spectroscopy is described.
Yu. V. Boiko +3 more
doaj
Deep Learning-Based Unmanned Surveillance Systems for Observing Water Levels
IEEE Access, 2018 Traditional surveillance systems for observing water levels are often complex, costly, and time-consuming. In this paper, we developed a low-cost unmanned surveillance system consisting of remote measuring stations and a monitoring center.
Jinqiu Pan +5 more
doaj +1 more source
Brain Sciences, 2020 The core objective of this study was to determine the neuroprotective properties of deep brain stimulation of the pedunculopontine tegmental nucleus on the apoptosis of the hippocampus.
Chellappan Praveen Rajneesh +6 more
doaj +1 more source
Are Vitamin D Levels Associated With Risk of Deep Neck Infection?
Ear, Nose & Throat Journal, 2021 Deep neck infection (DNI) refers to infections in spaces created by superficial and deep cervical fascia around the muscles and organs in the neck. Vitamin D is highly important for an effective immune system.
Mustafa Sıtkı Gozeler MD +6 more
doaj +1 more source
Deep Contrastive Representation Learning With Self-Distillation
IEEE Transactions on Emerging Topics in Computational IntelligenceRecently, contrastive learning (CL) is a promising way of learning discriminative representations from time series data. In the representation hierarchy, semantic information extracted from lower levels is the basis of that captured from higher levels ...
Zhiwen Xiao +7 more
semanticscholar +1 more source
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Convolutional neural networks have recently demonstrated high-quality reconstruction for single image super-resolution. However, existing methods often require a large number of network parameters and entail heavy computational loads at runtime for ...
Wei-Sheng Lai +3 more
semanticscholar +1 more source
Acta Physica Polonica A, 2011 p–n GaN diodes were studied by means of conventional deep level transient spectroscopy and Laplace transform deep-level spectroscopy methods within the temperature range of 77–350 K. Deep level transient signal spectra revealed the presence of a majority and minority trap of indistinguishable signatures.
P. Dyba +6 more
openaire +1 more source
A deep multi-level network for saliency prediction [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 This paper presents a novel deep architecture for saliency prediction. Current state of the art models for saliency prediction employ Fully Convolutional networks that perform a non-linear combination of features extracted from the last convolutional layer to predict saliency maps.
CORNIA, MARCELLA +3 more
openaire +2 more sources
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi +9 more
wiley +1 more source