scholarly journals Modelling epidemics: Technical and critical issues in the context of COVID-19

2020 ◽  
Vol 10 (2) ◽  
pp. 250-254
Author(s):  
Chris Brunsdon
Keyword(s):  
Data Analysis ◽  
Just In Time ◽  
Relevant Research ◽  
Critical Issues ◽  
Geographical Perspective ◽  
Geographical Context

This commentary reflects upon my experiences modelling epidemics from a geographical perspective. In particular, I consider different approaches to the modelling of epidemics and other forms of data analysis relevant to the COVID-19 pandemic within a geographical context, especially with respect to the need for ‘just in time’ policy-relevant research.

scholarly journals High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis

Biometrika ◽  
2021 ◽  
Author(s):  
Pixu Shi ◽  
Yuchen Zhou ◽  
Anru R Zhang
Keyword(s):  
Data Analysis ◽  
Compositional Data ◽  
Estimation Error ◽  
Real Data ◽  
Upper And Lower Bounds ◽  
High Dimensional ◽  
Compositional Data Analysis ◽  
Sequencing Data ◽  
Contrast Model ◽  
Critical Issues

Abstract In microbiome and genomic studies, the regression of compositional data has been a crucial tool for identifying microbial taxa or genes that are associated with clinical phenotypes. To account for the variation in sequencing depth, the classic log-contrast model is often used where read counts are normalized into compositions. However, zero read counts and the randomness in covariates remain critical issues. In this article, we introduce a surprisingly simple, interpretable, and efficient method for the estimation of compositional data regression through the lens of a novel high-dimensional log-error-in-variable regression model. The proposed method provides both corrections on sequencing data with possible overdispersion and simultaneously avoids any subjective imputation of zero read counts. We provide theoretical justifications with matching upper and lower bounds for the estimation error. The merit of the procedure is illustrated through real data analysis and simulation studies.

Data Analysis in the Shipping Industry

2021 ◽  
pp. 381-400
Author(s):  
Marcel Kyas ◽  
Joshua D. Springer ◽  
Jan Tore Pedersen ◽  
Valentina Chkoniya
Keyword(s):  
Data Analysis ◽  
Virtual World ◽  
Industrial Revolution ◽  
Data Flow ◽  
Autonomous Systems ◽  
Shipping Industry ◽  
Maritime Industry ◽  
New Era ◽  
Critical Issues ◽  
Machine Communication

This chapter identifies the critical issues that must be addressed to accelerate the digital transition in the chartering market. The maritime industry is one of the pillars of global trade, where change is a constant. Again, shipping is at the cusp of a new era—one driven by data. The authors review the state-of-the-art technology that is useful to automate chartering processes. · The Fourth Industrial Revolution (or Industry 4.0) starts to change the bulk shipping markets leveraging the data flow between industrial processes in the physical and virtual world. · The internet of things accelerates data flow from things in the real world to the virtual world and enables us to control processes in real-time. Machine-to-machine communication, together with artificial intelligence, creates autonomous systems in many areas of production and logistics. Based on the gathered elements, eShip's case study was analyzed, and future steps have been defined for the data analysis in the shipping industry.

Critical Issues in Tourism: A Geographical Perspective

1995 ◽  
Vol 85 (2) ◽  
pp. 243
Author(s):  
David Weaver ◽  
Gareth Shaw ◽  
Allan Williams
Keyword(s):  
Critical Issues ◽  
Geographical Perspective

scholarly journals Shaw, Gareth y Allan Williams. Critical Issues in Tourism: A Geographical Perspective. 2nd ed. Oxford: Blackwell Publishers, 2002. 371 pp.

2009 ◽  
pp. 163-165
Author(s):  
Sairi Tatiana Piñeros
Keyword(s):  
Critical Issues ◽  
Geographical Perspective

Esta obra, escrita por Gareth Shaw y Allan Williams, tiene como propósito presentar una aproximación al estudio de las cuestiones críticas de la producción y el consumo del turismo y el ocio.

scholarly journals A geographical perspective on the Aral Sea crisis: three interpretations of an image

2013 ◽  
Vol 21 (21) ◽  
pp. 125-132
Author(s):  
Kristopher D. White
Keyword(s):  
Academic Discipline ◽  
Human Geography ◽  
Physical Geography ◽  
Aral Sea ◽  
Environment Interaction ◽  
Environmental Disaster ◽  
Relevant Research ◽  
Human Environment ◽  
Photographic Image ◽  
Geographical Context

Abstract The Aral Sea crisis has gained global notoriety as a human-induced environmental disaster. This paper contextualizes this crisis within a broad geographical framework. Three interpretations of a single photographic image emblematic of the desiccation of the Aral Sea are related to general foci within the academic discipline of geography. These interpretations serve to guide a framing of the Aral Sea crisis within a geographical context. This is presented as a geographical problem, incorporating elements and processes salient to physical geography, human geography, and human-environment interaction. With ecological and societal sustainability in the immediate Aral Sea region still a pressing concern, geographers are well positioned to contribute relevant, research-driven insights.

scholarly journals A Comprehensive Survey on Node Metrics of RPL Protocol for IoT

2019 ◽  
Vol 13 (12) ◽  
pp. 1
Author(s):  
Adeeb Saaidah ◽  
Omar Almomani ◽  
Laila Al-Qaisi. ◽  
Nesreen Alsharman ◽  
Faisal Alzyoud
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Optimal Path ◽  
Objective Functions ◽  
Relevant Research ◽  
Resource Limitations ◽  
Critical Issues ◽  
Comprehensive Survey ◽  
Resource Constrained Devices ◽  
Constrained Devices

Internet of Things (IOT) system often consists of thousands of constrained connected devices. Resource-constrained devices one of critical issues in a low- power and lossy network LLNs. RPL is IPv6 routing protocol. It’s designed by IETF to be simple and inter-operable networking protocol to overcome these resource limitations. The RPL carries out Objective Functions (OFs) in the aim of finding the best path. The OFs chooses the best parent nodes aiming to build the route and optimize it. The metrics used to build the OF must be selected in an effective and accurate manner for finding the optimal path and meets all constraints. A survey about node metrics which can be utilized in OFs of RPL is presented, and node metrics calculations are explained then discussed thoroughly. The researcher displays the most relevant research efforts regarding the RPL OFs existing in literature.

scholarly journals ESTADO DEL ARTE SOBRE MÉTODOS PARA MODELAR LA ARQUITECTURA DE DATOS DE UN SISTEMA DE INFORMACIÓN

2016 ◽  
Vol 26 (1) ◽  
pp. 65
Author(s):  
Tino Eduardo Reyna Monteverde
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Research Method ◽  
Systems Management ◽  
Information Systems Management ◽  
Data Architecture ◽  
Critical Issues ◽  
The Subject ◽  
Sistemas De Informacion ◽  
Architecture Modelling

RESUMENEn este artículo se detallan las investigaciones más recientes respecto al tema del presente trabajo de investigación,“Método de Modelado de Arquitectura de Datos que asegure Robustez y Estabilidad”. La estructura del artículo se ha organizado en dos bloques principales:A. Modelado de DatosB. Métodos de Modelado de Datos Estos temas constituyen las líneas maestras de la presente investigación. Determinar con claridad el concepto y actividad de modelado es fundamental para soportar todo el desarrollo del método. El análisis de datos es otro de los temas críticos, por la misma naturaleza de esta etapa que no es operativa sino reflexiva. Muchas veces el personal técnico la evita por ser tediosa de allí la importancia de hallar alguna técnica rigurosa y sobre práctica,pero que posea sentido para el área de negocios. Finalmente como todo sistema de información comercial va dirigido hacia la empresa, se debe tomar en cuenta los patrones empresariales para fusionarlo con el modelo tecnológico.Palabras clave.- Métodos, Modelando, Arquitectura, Datos, Sistemas de información de gestión.ABSTRACTThis paper details the latest research on the subject of this research, “Method of Data Architecture Modelling to ensure robustness and stability”. The structure of the paper is organized in two main blocks:A. Data ModellingB. Methods of Data ModellingThese issues are the main elements of the present investigation. Clearly identify the concept and modellingactivity is critical for support the whole development of the method. Data analysis is one of the critical issues, bythe very nature of this stage is not operational but thoughtful. Many times, technical staff often avoids it becauseis tedious, hence the importance of finding a rigorous and practical technique, which possessing sense for thebusiness area. Finally, as all trade information system is directed towards the company, then you should take into account the business patterns to merge with the technological model.Keywords.- Methods, Modeling, Architecture, Data, Information systems management.

scholarly journals The Effect of Business Center on Entrepreneurial Readiness for Vocational Students

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Muhammad Alil Mafahir ◽  
Tri Rijanto ◽  
Munoto Munoto ◽  
Lutfiyah Nurlaela
Keyword(s):  
High School ◽  
Data Analysis ◽  
Focus Group ◽  
Group Discussion ◽  
Vocational Students ◽  
Vocational High School ◽  
Relevant Research ◽  
Analysis Technique ◽  
Entrepreneurial Readiness ◽  
The Right

In August 2017, there were 7.4 million educated unemployed including vocational graduates. Why are there so many educated unemployed. Are there no vocational high school (SMK) graduates who can become entrepreneurs? The Vocational High School is the right place to develop entrepreneurship education. This study aims to determine the extent of the influence of the Business Center that can increase vocational entrepreneurship readiness. This research was conducted through a literature review and relevant research results and continued through a Focus Group Discussion (FGD). The data analysis technique used is descriptive-qualitative analysis technique. The study found that the Business Center can increase the entrepreneurial readiness of vocational students, which means that increasing the entrepreneurial readiness of vocational students can be done through improving skills through the Business Center.

ESTADO DEL ARTE SOBRE MÉTODOS PARA MODELAR LA ARQUITECTURA DE DATOS DE UN SISTEMA DE INFORMACIÓN

2016 ◽  
Vol 26 (1) ◽  
pp. 65
Author(s):  
Tino Eduardo Reyna Monteverde
Keyword(s):  
Information System ◽  
Data Analysis ◽  
Research Method ◽  
Systems Management ◽  
Information Systems Management ◽  
Data Architecture ◽  
Critical Issues ◽  
The Subject ◽  
Sistemas De Informacion ◽  
Architecture Modelling

RESUMENEn este artículo se detallan las investigaciones más recientes respecto al tema del presente trabajo de investigación,“Método de Modelado de Arquitectura de Datos que asegure Robustez y Estabilidad”. La estructura del artículo se ha organizado en dos bloques principales:A. Modelado de DatosB. Métodos de Modelado de Datos Estos temas constituyen las líneas maestras de la presente investigación. Determinar con claridad el concepto y actividad de modelado es fundamental para soportar todo el desarrollo del método. El análisis de datos es otro de los temas críticos, por la misma naturaleza de esta etapa que no es operativa sino reflexiva. Muchas veces el personal técnico la evita por ser tediosa de allí la importancia de hallar alguna técnica rigurosa y sobre práctica,pero que posea sentido para el área de negocios. Finalmente como todo sistema de información comercial va dirigido hacia la empresa, se debe tomar en cuenta los patrones empresariales para fusionarlo con el modelo tecnológico.Palabras clave.- Métodos, Modelando, Arquitectura, Datos, Sistemas de información de gestión.ABSTRACTThis paper details the latest research on the subject of this research, “Method of Data Architecture Modelling to ensure robustness and stability”. The structure of the paper is organized in two main blocks:A. Data ModellingB. Methods of Data ModellingThese issues are the main elements of the present investigation. Clearly identify the concept and modellingactivity is critical for support the whole development of the method. Data analysis is one of the critical issues, bythe very nature of this stage is not operational but thoughtful. Many times, technical staff often avoids it becauseis tedious, hence the importance of finding a rigorous and practical technique, which possessing sense for thebusiness area. Finally, as all trade information system is directed towards the company, then you should take into account the business patterns to merge with the technological model.Key words.- Methods, Modeling, Architecture, Data, Information systems management.

Sign in / Sign up

Export Citation Format

Share Document