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Results: 153
Enhancement of indirect functional connections with shortest path length in the adult autistic brain.
Xiaonan Guo, Tiago Simas, Meng-Chuan Lai, Michael V Lombardo, Bhismadev Chakrabarti, Amber NV Ruigrok, Edward T Bullmore, Simon Baron-Cohen, Huafu Chen, John Suckling, MRC AIMS Consortium
Sep 16, 2019
Autism is a neurodevelopmental condition characterized by atypical brain functional organization. Here we investigated the intrinsic indirect (semi-metric) connectivity of the functional connectome associated with autism....
Adolescents with current major depressive disorder show dissimilar patterns of age-related differences in ACC and thalamus.
Nonparametric Bayesian inference of the microcanonical stochastic block model
Tiago P. Peixoto
Jan 17, 2017
A principled approach to characterize the hidden modular structure of networks is to formulate generative models, and then infer their parameters from data. When the desired structure is composed of modules or "communities", a...
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
Sep 20, 2019
We present a scalable nonparametric Bayesian method to perform network reconstruction from observed functional behavior that at the same time infers the communities present in the network. We show that the joint...
Change points, memory and epidemic spreading in temporal networks
Dynamic networks exhibit temporal patterns that vary across different time scales, all of which can potentially affect processes that take place on the network. However, most data-driven approaches used to model time-varying...
Developing a Commercial Ethics Framework for Analysing Marketing Campaigns
This study integrates the relationship of business ethics in marketing campaigns and the importance of the repercussion on organizational performance with the aim of creating a guide of business ethics in marketing campaigns for...
Published by: IGI Global Scientific Publishing
Machine learning for target discovery in drug development.
Chemical probes Chemical proteomics Drug Discovery Machine Learning target identification Antineoplastic Agents Computer Simulation Drug Evaluation Preclinical Humans lipoxygenase Machine Learning Molecular Targeted Therapy Naphthoquinones Pentacyclic Triterpenes Proteomics Receptors Cannabinoid Sesquiterpenes Sesquiterpenes Guaiane Transient Receptor Potential Channels
Access to long-term credit and productivity of small and medium firms
This letter assesses the impact of a variation in access to a targeted loan program from Brazil’s development bank on investment and productivity. Results suggest that eligible firms increased their relative investment rate and...
Consistencies and inconsistencies between model selection and link prediction in networks
A principled approach to understand network structures is to formulate generative models. Given a collection of models, however, an outstanding key task is to determine which one provides a more accurate description of the...
Organizational issues in Olympic Games
The purpose of this study is to extend previous research on organisational issues of sport mega-events through the development of a framework for the Olympic Games. A three-step approach was taken. Firstly, a systematic...
Development of Antibody-Directed Therapies
Less is more: The efficacy of antibody-drug conjugates (ADCs) for cancer therapy is traditionally associated with cleavable linkers for payload release. Evidence now suggests that simpler constructs without cleavable moieties...
Investigation of Fault Modeling in the Identification of Bearing Wear Severity
Recent research into machines involved in power generation processes has demanded deep investigation of model-based techniques for fault diagnosis and identification. The improvement of critical fault characterization is...
Nonparametric weighted stochastic block models
Tiago P. Peixoto
Jan 16, 2018
We present a Bayesian formulation of weighted stochastic block models that can be used to infer the large-scale modular structure of weighted networks, including their hierarchical organization. Our method is nonparametric, and...
Antikörpergerichtete Therapien
In its various forms, cancer remains a leading cause of mortality and morbidity worldwide. Thus, it is widely accepted that finding innovative, life-changing drugs and therapeutic regimens is key for successful future cancer...
Slums and pandemics.
How do slums shape the economic and health dynamics of pandemics? A difference-in-differences analysis using millions of mobile phones in Brazil shows that residents of overcrowded slums engaged in less social distancing after...
Platelet lysate gel and endothelial progenitors stimulate microvascular network formation in vitro
Revascularisation is a key step for tissue regeneration and complete organ engineering. We describe the generation of human platelet lysate gel (hPLG), an extracellular matrix preparation from human platelets able to support the...
Developing a Safety Climate Assessment Tool for Omani Construction Industry
One of the methods which could improve the safety performance of construction organizations is the safety climate approach which is helpful to know the existing maturity level of the safety climate and to develop plans to...
Published by: IGI Global Scientific Publishing
(MIS)Allocation Effects of an Overpaid Public Sector
Abstract
There is a large body of evidence showing that for many countries the structure of wages and pensions and the labor law legislation are different for public and private...
Network reconstruction and community detection from dynamics
Tiago P. Peixoto
Sep 20, 2019
We present a scalable nonparametric Bayesian method to perform network reconstruction from observed functional behavior that at the same time infers the communities present in the network. We show that the joint...
Nonparametric weighted stochastic block models
Tiago P. Peixoto
Jan 16, 2018
We present a Bayesian formulation of weighted stochastic block models that can be used to infer the large-scale modular structure of weighted networks, including their hierarchical organization. Our method is nonparametric, and...
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