Petrochemical and isotopic evidences for multiple sources involving in the generation of post-collisional granitoid complex: A case study of the Mangling complex from the eastern Qinling orogen, China

Lithos ◽  
2020 ◽  
Vol 356-357 ◽  
pp. 105377
Author(s):  
Wen-Xiang Zhang ◽  
Yuan-Bao Wu ◽  
Guang-Yan Zhou
Keyword(s):  
Qinling Orogen ◽  
Multiple Sources ◽  
Granitoid Complex

Polytechnic to Business Project (P2B) a Case of Innovation and Knowledge Transference

2019 ◽  
Vol 6 (1) ◽  
pp. 40-49
Author(s):  
Teresa Paiva
Keyword(s):  
Knowledge Transfer ◽  
Best Practices ◽  
Education Institution ◽  
Theoretical Background ◽  
Transfer Model ◽  
Case Study Method ◽  
Multiple Sources ◽  
The Subject ◽  
Manage Innovation

Background: The theoretical background of this article is on the model developed of knowledge transfer between universities and the industry in order to access the best practices and adapt to the study case in question regarding the model of promoting and manage innovation within the universities that best contribute with solution and projects to the business field. Objective: The development of a knowledge transfer model is the main goal of this article, supported in the best practices known and, also, to reflect in the main measurement definitions to evaluate the High Education Institution performance in this area. Methods: The method for this article development is the case study method because it allows the fully understanding of the dynamics present within a single setting, and the subject examined to comprehend what is being done and what the dynamics mean. The case study does not have a data collection method, as it is a research that may rely on multiple sources of evidence and data which should be converged. Results: Since it’s a case study this article present a fully description of the model proposed and implemented for the knowledge transfer process of the institution. Conclusion: Still in a discussion phase, this article presents as conclusions some questions and difficulties that could be pointed out, as well as some good perspectives of performed activity developed.

scholarly journals Accessible Routes Integrating Data from Multiple Sources

2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Miguel R. Luaces ◽  
Jesús A. Fisteus ◽  
Luis Sánchez-Fernández ◽  
Mario Munoz-Organero ◽  
Jesús Balado ◽  
...  
Keyword(s):  
Information System ◽  
Data Model ◽  
Large Scale ◽  
Heterogeneous Data ◽  
Multiple Sources ◽  
Heterogeneous Data Sources ◽  
Different Types ◽  
Software Sensors ◽  
The City

Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain).

scholarly journals Leveraging Business Data Analytics and Machine Learning Techniques for Competitive Advantage: Case Study Evidence from Small Businesses

2021 ◽  
Vol 2 (1) ◽  
pp. 73-87
Author(s):  
Rathimala Kannan ◽  
Intan Soraya Rosdi ◽  
Kannan Ramakrishna ◽  
Haziq Riza Abdul Rasid ◽  
Mohamed Haryz Izzudin Mohamed Rafy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Competitive Advantage ◽  
Small Businesses ◽  
Data Analytics ◽  
Research Question ◽  
Machine Learning Techniques ◽  
Multiple Sources ◽  
Learning Techniques ◽  
Business Data

Data analytics is the essential component in deriving insights from data obtained from multiple sources. It represents the technology, methods and techniques used to obtain insights from massive datasets. As data increases, companies are looking for ways to gain relevant business insights underneath layers of data and information, to help them better understand new business ventures, opportunities, business trends and complex challenges. However, to date, while the extensive benefits of business data analytics to large organizations are widely published, micro, small, and medium sized organisations have not fully grasped the potential benefits to be gained from data analytics using machine learning techniques. This study is guided by the research question of how data analytics using machine learning techniques can benefit small businesses. Using the case study method, this paper outlines how small businesses in two different industries i.e. healthcare and retail can leverage data analytics and machine learning techniques to gain competitive advantage from the data. Details on the respective benefits gained by the small business owners featured in the two case studies provide important answers to the research question.

A Case Study of IT Chargeback in government Agency

2011 ◽  
pp. 27-44
Author(s):  
Dana Edberg ◽  
William L. Kuechler Jr.
Keyword(s):  
Public Safety ◽  
Government Agency ◽  
Multiple Sources ◽  
It Projects ◽  
It Department ◽  
It Funding

In 1997 the Nevada Legislature mandated the formation of an IT division for the Nevada Department of Public Safety (NDPS). Prior to this time the 14 separate divisions within the department had carried out their own IT functions. The legislature also mandated that the full, actual costs for the IT Department would be allocated to the divisions on the basis of use, a form of IT funding known as “hard money chargeback”. Complicating the issue considerably is the legal prohibition in Nevada of commingling funds from multiple sources for any project, including interdivisional IT projects. Five years after its creation, there is a widespread perception among users that the IT Division is ineffective. Both the IT manager and the department chiefs believe the cumbersome chargeback system contributes to the ineffectiveness. This case introduces the concept of chargeback, and then details an investigation into the “true costs of chargeback” by the chief of the NDPS’s IT Division.

Computer-Supported Collaborative Learning and Assessment

2020 ◽  
pp. 389-413
Author(s):  
Joyce W. Gikandi
Keyword(s):  
Data Analysis ◽  
Collaborative Learning ◽  
Online Education ◽  
Descriptive Statistics ◽  
Multiple Sources ◽  
Computer Supported Collaborative Learning ◽  
Collective Case Study ◽  
Course Content ◽  
Gradual Process

This chapter focuses on re-interpreting the findings of a recent study based on collaborative learning perspectives. The study utilized a case study design in which two online postgraduate courses were investigated as a collective case study. Online observations, analysis of the archived course content and interview transcripts were used as data collection techniques. The data from multiple sources were triangulated. Qualitative techniques were used in data analysis and descriptive statistics were integrated to extend the meaning of qualitative data. The findings of the study suggest that social interactivity is pivotal to facilitating meaningful learning in formal online education. The findings further illustrate that development of productive communities in continuing (in-service) education is a gradual process that evolves through four stages starting from community of interest to community of practice.

INSPIRE sustainability internships

2019 ◽  
Vol 20 (3) ◽  
pp. 452-469 ◽  
Author(s):  
Carolyn Susan Hayles
Keyword(s):  
Small Sample Size ◽  
Real Life ◽  
Small Sample ◽  
Multiple Sources ◽  
Student Body ◽  
Content Type ◽  
Study Approach ◽  
Life Context ◽  
The University

Purpose This paper aims to explore the outputs of an internship programme, one of a number of campus-based sustainability activities that have been introduced at the University of Wales, Trinity Saint David, to encourage student-led campus-based greening initiatives. Design/methodology/approach A case study approach was undertaken, allowing the researcher to investigate the programme in its real-life context. The researcher used multiple sources of evidence to gain as holistic a picture as possible. Findings Interns report positive changes in their behaviours towards sustainability, s well as encouraging feedback on their experiential learning, the development of their soft skills and the creation of new knowledge. Moreover, students communicated perceived benefits for their future careers. The reported outcomes reflect mutually beneficial relationships for student and institution, for example, raising the profile of campus greening activities and supporting the University’s aim to embed sustainability throughout its campus, community and culture. Research limitations/implications The researcher recognises the limitations of the research, in particular, the small sample size, which has resulted primarily in qualitative results being presented. Practical implications Feedback from previous interns will be used to shape future internships. In particular, Institute of Sustainable Practice, Innovation and Resource Effectiveness (INSPIRE) will look for opportunities to work more closely with University operations, departments, faculties and alongside University staff, both academic and support staff. Social implications Following student feedback, INSPIRE will give students opportunities for wider involvement, including an opportunity to propose their own projects to shape future internships that meet the needs of student body on campus. Originality/value Despite being one case study from one institution, the research highlights the value of such programmes for other institutions.

Classification and relationships between risks that affect lean production implementation

2015 ◽  
Vol 26 (1) ◽  
pp. 57-79 ◽  
Author(s):  
Giuliano Almeida Marodin ◽  
Tarcísio Abreu Saurin
Keyword(s):  
Factor Analysis ◽  
Lean Production ◽  
Shop Floor ◽  
Management Support ◽  
The South ◽  
Multiple Sources ◽  
Content Type ◽  
Confirmatory Factor ◽  
South Of Brazil

Purpose – The purpose of this paper is twofold: to classify the risks that affect the lean production implementation (LPI) process, and to demonstrate how that classification can help to identify the relationships between the risks. Design/methodology/approach – Initially, a survey was conducted to identify the probability and impact of 14 risks in LPI, which had been identified based on a literature review. The sample comprised 57 respondents, from companies in the south of Brazil. An exploratory factor analysis was carried out to analyze the results of the survey, allowing the identification of three groups of risks in LPI. Then, a case study was conducted in one of the companies represented in the survey, in order to identify examples of relationships between the risks. Multiple sources of evidence were used in the case study, such as interviews, observations and documents analysis. Findings – The risks that affect LPI were grouped into three categories: management of the process of LPI, top and middle management support and shop floor involvement. A number of examples of relationships between the risks were identified. Research limitations/implications – The survey was limited to companies from the south of Brazil and therefore its results cannot be completelly generalized to other companies. Moreover, the results of the survey were not subjected to a confirmatory factor analysis. Originality/value – This study helps to improve the understanding of LPI, as: it re-interprets the factors, barriers and difficulties for LPI from the perspective of risk management, which had not been used for that purpose so far; it presents a classification of the risks that affect LPI, which can support the understanding of the relationships between the risks and, as a result, it can support the development of more effective methods for LPI.

scholarly journals Genetic identification of farmed and wild Atlantic cod, Gadus morhua, in coastal Norway

2011 ◽  
Vol 68 (5) ◽  
pp. 901-910 ◽  
Author(s):  
Kevin A. Glover ◽  
Geir Dahle ◽  
Knut E. Jørstad
Keyword(s):  
Case Studies ◽  
Gadus Morhua ◽  
Atlantic Cod ◽  
Genetic Interactions ◽  
Genetic Identification ◽  
Fish Farms ◽  
Multiple Sources ◽  
Farmed Fish ◽  
Farmed Escapees

Abstract Glover, K. A., Dahle, G., and Jørstad, K. E. 2011. Genetic identification of farmed and wild Atlantic cod, Gadus morhua, in coastal Norway. – ICES Journal of Marine Science, 68: 901–910. Each year thousands of Atlantic cod escape from Norwegian fish farms. To investigate the potential for the genetic identification of farmed–escaped cod in the wild, three case studies were examined. Samples of farmed, recaptured farmed escapees, and wild cod were screened for ten microsatellite loci and the Pan I locus. Variable genetic differences were observed among cod sampled from different farms and cages (pairwise FST = 0.0–0.1), and in two of the case studies, the most likely farm(s) of origin for most of the recaptured escapees were identified. In case study 2, wild cod were genetically distinct from both farmed fish (pairwise FST = 0.026–0.06) and recaptured farmed–escaped cod (pairwise FST = 0.029 and 0.039), demonstrating the potential to detect genetic interactions in that fjord. Genetic identification of escapees was more challenging in case study 3, and some morphologically characterized wild cod were found to most likely represent farmed escapees. It is concluded that where cod are farmed in the same region as their own parents/grandparents were initially sourced, or where farmed escapees originate from multiple sources, quantifying genetic interactions with wild populations will be challenging with neutral or nearly neutral markers such as microsatellites.

The Problem with “Waves”

Pneuma ◽  
2017 ◽  
Vol 39 (1-2) ◽  
pp. 34-54 ◽  
Author(s):  
Mark Hutchinson
Keyword(s):  
Wave Theory ◽  
Multiple Sources ◽  
Historical Accounts ◽  
Network Approaches

This article explores the problem of using a heuristic such as “waves” to organize historical accounts of pentecostal and charismatic movements. By looking closely at the rise of Italian Pentecostalism and its co-location with multiple sources of revivalism and denominational formation, it seeks to demonstrate that “network” approaches to modelling pentecostal emergence are a more accurate form of heuristic. In the case study, much material not previously made available in English is used, demonstrating the linguistic, cultural, and temporal/ geographic limitations of “wave” theory.

Sign in / Sign up

Export Citation Format

Share Document