Zobrazeno 1 - 10
of 1 471
pro vyhledávání: '"network reconstruction"'
Autor:
WU Renbo, HUANG Yijun
Publikováno v:
发电技术, Vol 45, Iss 5, Pp 975-982 (2024)
ObjectivesAs the proportion of renewable energy in power grids increases year by year, the volatility and uncertainty of the grid are significantly heightened, posing challenges to the safe operation of distribution networks. To address the issue of
Externí odkaz:
https://doaj.org/article/01d0ddda85bf49da96504d26e41ffe62
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Science is a collaborative endeavor. Yet, unlike co-authorship, interactions within and across teams are seldom reported in a structured way, making them hard to study at scale. We show that Large Language Models (LLMs) can solve this proble
Externí odkaz:
https://doaj.org/article/f059d0c67e204a60b4be314a0a6da5cc
Autor:
Chenxi Lian, Jiawei Liu, Wenying Wei, Xiaopei Wu, Takashi Goto, Haiwen Li, Rong Tu, Honglian Dai
Publikováno v:
Bioactive Materials, Vol 38, Iss , Pp 181-194 (2024)
Chronic diabetic wounds are the most common complication for diabetic patients. Due to high oxidative stress levels affecting the entire healing process, treating diabetic wounds remains a challenge. Here, we present a strategy for continuously regul
Externí odkaz:
https://doaj.org/article/247c8f264a5a4dd58335445d9487a3fa
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Intoduction In systems biology, an organism is viewed as a system of interconnected molecular entities. To understand the functioning of organisms it is essential to integrate information about the variations in the concentrations of those m
Externí odkaz:
https://doaj.org/article/f07c9a1600d244a69a459842602d1c29
Publikováno v:
Human Biology and Public Health, Vol 1 (2024)
The St. Nicolas House Analysis (SNHA) is a new graph estimation method for detection of extensive interactions among variables. It operates by ranking absolute bivariate correlation coefficients in descending order thereby creating hierarchic associa
Externí odkaz:
https://doaj.org/article/d2b8a0e7430e4faa95b400c59b2fb727
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-18 (2023)
Abstract Often, due to prohibitively large size or to limits to data collecting APIs, it is not possible to work with a complete network dataset and sampling is required. A type of sampling which is consistent with Twitter API restrictions is uniform
Externí odkaz:
https://doaj.org/article/91bd4d367b874548a16d7b8fbd8feff6
Autor:
Rafaella Sousa Ferraz, João Vitor Ferreira Cavalcante, Leandro Magalhães, Ândrea Ribeiro‐dos‐Santos, Rodrigo Juliani Siqueira Dalmolin
Publikováno v:
Cancer Medicine, Vol 12, Iss 18, Pp 19279-19290 (2023)
Abstract Background Metastatic castration‐resistant prostate cancer (mCRPC) is an aggressive form of cancer unresponsive to androgen deprivation therapy (ADT) that spreads quickly to other organs. Despite reduced androgen levels after ADT, mCRPC de
Externí odkaz:
https://doaj.org/article/d4b7976d5c6443a28371914f28df9a39
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5851-5863 (2023)
Abstract Bipartite networks that characterize complex relationships among data arise in various domains. The existing bipartite network models are mainly based on a type of relationship between objects, and cannot effectively describe multiple relati
Externí odkaz:
https://doaj.org/article/20f6f20ba9c745418372252cb6c53916
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-21 (2023)
Abstract Problem setting Stochastic dynamical systems in which local interactions give rise to complex emerging phenomena are ubiquitous in nature and society. This work explores the problem of inferring the unknown interaction structure (represented
Externí odkaz:
https://doaj.org/article/0e18839aaf6b4d84a922a4199194b87c