Results 11 to 20 of about 6,856,253 (314)

Modelos estocásticos orientados en el actor utilizando RSiena (IV).

REDES: Revista Hispana para el Análisis de Redes Sociales, 2022
Este texto es el cuarto guión de una serie de seis guiones escritos en el lenguaje y ambiente de programación R que conjuntamente constituyen la introducción al software RSiena para estimar modelos estocásticos orientados en el actor para redes ...
Alvaro Uzaheta, Alejandro Espinosa-Rada
doaj   +1 more source

N-Acetylcysteine Regenerates In Vivo Mercaptoalbumin

Antioxidants, 2022
Human serum albumin (HSA) represents the most abundant plasma protein, with relevant antioxidant activity due to the presence of the sulfhydryl group on cysteine at position 34 (Cys34), the latter being one of the major target sites for redox-dependent ...
Alessandra Anna Altomare, Maura Brioschi, Sonia Eligini, Alice Bonomi, Beatrice Zoanni, Ada Iezzi, Costantino Jemos, Benedetta Porro, Yuri D’Alessandra, Anna Guarino, Emanuela Omodeo Salè, Giancarlo Aldini, Piergiuseppe Agostoni, Cristina Banfi   +13 more
doaj   +1 more source

PolSAR Image Classification Based on Relation Network with SWANet

Remote Sensing, 2023
Deep learning and convolutional neural networks (CNN) have been widely applied in polarimetric synthetic aperture radar (PolSAR) image classification, and satisfactory results have been obtained.
Wenqiang Hua, Yurong Zhang, Cong Zhang, Xiaomin Jin   +3 more
doaj   +1 more source

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

Frontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao, Sixi Hao, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang, Caiyun Yang, Caiyun Yang   +13 more
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

Frontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu, Shuang Xu, Xiuzhen Hu, Xiuzhen Hu, Zhenxing Feng, Zhenxing Feng, Jing Pang, Jing Pang, Kai Sun, Kai Sun, Xiaoxiao You, Xiaoxiao You, Ziyang Wang, Ziyang Wang   +13 more
doaj   +1 more source

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages

Sensors, 2022
Electroencephalography (EEG) is immediate and sensitive to neurological changes resulting from sleep stages and is considered a computing tool for understanding the association between neurological outcomes and sleep stages.
Iqram Hussain, Md Azam Hossain, Rafsan Jany, Md Abdul Bari, Musfik Uddin, Abu Raihan Mostafa Kamal, Yunseo Ku, Jik-Soo Kim   +7 more
doaj   +1 more source

Modelos estocásticos orientados en el actor utilizando RSiena (I)

REDES: Revista Hispana para el Análisis de Redes Sociales, 2022
Este texto es el primero de una serie de seis guiones escritos en el lenguaje y ambiente de programación R que conjuntamente constituyen la introducción al software RSiena para estimar modelos estocásticos orientados en el actor para redes dinámicas.
Alejandro Espinosa-Rada
doaj   +1 more source

Climate change, household vulnerability and smart agriculture: The case of two South African provinces

Jàmbá, 2016
The impact of climate-change disasters poses significant challenges for South Africa, especially for vulnerable rural households. In South Africa, the impact of climate change at the local level, especially in rural areas, is not well known.
Mkhululi Ncube, Nomonde Madubula, Hlami Ngwenya, Nkulumo Zinyengere, Leocadia Zhou, Joseph Francis, Talentus Mthunzi, Crespo Olivier, Tshilidzi Madzivhandila   +8 more
doaj   +1 more source

Modelos estocásticos orientados en el actor utilizando RSiena (II)

REDES: Revista Hispana para el Análisis de Redes Sociales, 2022
Este texto es el segundo de una serie de seis guiones escritos en el lenguaje y ambiente de programación R que conjuntamente constituyen la introducción al software RSiena para estimar modelos estocásticos orientados en el actor para redes dinámicas.
Alejandro Espinosa-Rada
doaj   +1 more source

Social Network Analysis Dalam Melihat Kecenderungan Pemberitaan Pada Akun Twitter “@Detikcom” Dan “@Metro_tv” [PDF]

, 2014
Revolusi digital yang terjadi saat ini telah mengubah perilaku orang dalam banyak hal, termasuk dalam memperoleh informasi atau berita. Twitter sebagai salah satu sosial media yang banyak digunakan, telah dimanfaatkan berbagai situs berita online sebagai
Rafita, Y. (Yuni)
core   +1 more source