Results 41 to 50 of about 26,540 (300)

Attributed Graph Clustering:a Deep Attentional Embedding approach [PDF]

, 2019
Graph clustering is a fundamental task which discovers communities or groups in networks. Recent studies have mostly focused on developing deep learning approaches to learn a compact graph embedding, upon which classic clustering methods like k-means or ...
Jiang, Jing, Ruiqi Hu, Shirui Pan, Long, Guodong, Chengqi Zhang, Pan, Shirui, Zhang, Chengqi, Chun Wang, Wang, Chun, Hu, Ruiqi, Jing Jiang, Guodong Long   +11 more
core   +1 more source

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

Low‐Cost, Large‐Scale Nanoporous Metals by Mechanical Alloying, Oxide Reduction, and Dealloying of Powders

Advanced Engineering Materials, EarlyView.
Powder metal processing provides scalable advantages in nanoporous (np) metal development. Mechanical alloying is used to produce unique precursors for hybrid nanopore formation by oxide reduction and dealloying. As demonstrated in np Ag, this approach improves process efficiency while promoting smaller ligaments and larger pores, both of which are ...
Mark A. Atwater, Oliver A. Fowler
wiley   +1 more source

Parallel Construction of Compact Planar Embeddings

CoRR, 2017
The sheer sizes of modern datasets are forcing data-structure designers to consider seriously both parallel construction and compactness. To achieve those goals we need to design a parallel algorithm with good scalability and with low memory consumption.
Leo Ferres, José Fuentes-Sepúlveda, Travis Gagie, Meng He 0001, Gonzalo Navarro 0001   +4 more
openaire   +2 more sources

Electrochemical Evaluation of Compressed Selective Laser Melted AlSi7Mg and AlSi10Mg Alloys in Chloride Environment

Advanced Engineering Materials, EarlyView.
The corrosion performance of AlSi7Mg and AlSi10Mg alloys produced through selective laser melting (SLM) was examined under compressive stress in a chloride environment. Electrochemical analyses, including open‐circuit potential (OCP), potentiodynamic polarization (CPP), and electrochemical impedance spectroscopy (EIS), were complemented by scanning ...
Femi John Akinfolarin, Samson Dare Oguntuyi, Peter Apata Olubambi   +2 more
wiley   +1 more source

Structural properties of anisotropic stars in modified teleparallel gravity: a brief study via an embedding approach

European Physical Journal C: Particles and Fields, 2023
In this paper, we attempt to construct the anisotropic solution for compact stellar configurations using the observed mass and radius of compact stars from the literature under the influence of Rastall Teleparallel gravity.
Asifa Ashraf, Abdelghani Errehymy, Allah Ditta, Zhiyue Zhang, Xia Tiecheng, Mohammed Daoud   +5 more
doaj   +1 more source

A Compact Integrate-and-Fire Neuron Circuit Embedding Operational Transconductance Amplifier for Fidelity Enhancement

IEEE Access, 2023
In this study, a compact CMOS integrate-and-fire (I&F) neuron circuit embedding an operational transconductance amplifier (OTA) has been designed for enhancing the fidelity in output generation.
Arati Kumari Shah, Eou-Sik Cho, Jisun Park, Hyungsoon Shin, Seongjae Cho   +4 more
doaj   +1 more source

Discrete Network Embedding

, 2018
Network embedding aims to seek low-dimensional vector representations for network nodes, by preserving the network structure. The network embedding is typically represented in continuous vector, which imposes formidable challenges in storage and ...
Liu, Weiwei, Shen, Xiaobo, Pan, Shirui, Ong, Yew-Soon, Sun, Quan-Sen   +4 more
core   +1 more source

Characterization of Aluminized Layers on Inconel‐738 Alloy: Microstructure, Modeling of Aluminizing Kinetics, and Thermal Behavior

Advanced Engineering Materials, EarlyView.
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe, Tuba Yener, Suayb Cagri Yener, Mourad Keddam, Cuma Bindal   +4 more
wiley   +1 more source

Dimensionality optimized machine learning retrieval of canopy chlorophyll, nitrogen, and phosphorus from google satellite embeddings

Smart Agricultural Technology
Long-term studies show that canopy chlorophyll, nitrogen, and phosphorus differ in spectral signatures and retrieval stability. This work assessed the retrieval of these biochemical parameters from a global 64-dimensional Google satellite embedding at 10
Mir Md Tasnim Alam, Anita Simic Milas
doaj   +1 more source