scholarly journals Advancing the application of remote sensing for forest information needs in Canada: Lessons learned from a national collaboration of university, industrial and government stakeholders

2021 ◽  
pp. 1-18
Author(s):  
Nicholas C. Coops ◽  
Alexis Achim ◽  
Paul Arp ◽  
Christopher W. Bater ◽  
John P. Caspersen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Needs ◽  
Three Dimensional ◽  
Wood Properties ◽  
Lessons Learned ◽  
Inventory Systems ◽  
Future Research ◽  
Forest Sector ◽  
Individual Tree ◽  
For Profit

The Canadian forest sector requires detailed information regarding the amount and characteristics of the forest resource. To address these needs, inventory systems that spatially quantify timber and other forest related ecosystem services are required, that are accurate, comprehensive and timely. The Assessment of Wood properties using Remote Sensing (AWARE) was a five-year project involving collaboration between seven Canadian universities, and seven forest companies with support provided by provincial and federal forestry agencies and other non-for-profit forestry focused organisations. AWARE provided methods and tools to enhance the characterization of forests at national, landscape and individual tree scales. The project supported 24 post-doctoral fellows, PhD and MSc students that examined the roles that advanced three-dimensional remote sensing technologies can play in the development of accurate forest inventory systems across Canada. In this review we examine the AWARE research project, review research highlights, key outcomes, future research needs, and provide an assessment of successes and challenges the project faced over its five-year lifetime.

scholarly journals Wastewater Surveillance for SARS-CoV-2 on College Campuses: Initial Efforts, Lessons Learned, and Research Needs

2021 ◽  
Vol 18 (9) ◽  
pp. 4455
Author(s):  
Sasha Harris-Lovett ◽  
Kara L. Nelson ◽  
Paloma Beamer ◽  
Heather N. Bischel ◽  
Aaron Bivins ◽  
...  
Keyword(s):  
Information Needs ◽  
Community Dynamics ◽  
The United States ◽  
Lessons Learned ◽  
Future Research ◽  
Private Institutions ◽  
Community Members ◽  
Public And Private ◽  
College And University ◽  
University Systems

Wastewater surveillance for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging approach to help identify the risk of a coronavirus disease (COVID-19) outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, and nursing homes) scales. This paper explores the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation. We present the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resources, and impacts from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions. Our analysis suggests that wastewater monitoring at colleges requires consideration of local information needs, sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.

Governmental Service Transformation through Cost Scenarios Simulation

2012 ◽  
pp. 791-805
Author(s):  
Yannis Charalabidis
Keyword(s):  
Cost Estimation ◽  
Information Needs ◽  
Cost Model ◽  
Lessons Learned ◽  
Future Research ◽  
Activity Based Costing ◽  
Cost Calculations ◽  
System Interoperability ◽  
Definition Of ◽  
Office System

Formal methods for measuring the impact of interoperability on digital public services is emerging as an important research challenge in electronic government. The eGOVSIM model that is described in this chapter aims to provide administrations with a tool to calculate the gains from digitising and making interoperable services for citizens and businesses. The chapter presents existing methods for calculating the cost of services for the administration and the service consumers, such as the Standard Cost Model (SCM) and the Activity Based Costing (ABC). Then it goes on presenting a toolset for analytical cost calculations based on the various process steps and the information needs of each governmental service. The eGOVSIM toolset supports the definition of several service provision scenarios, such as front/back office system interoperability, cross-system or cross-organisational interoperability allowing the calculation of time, effort and cost elements, and relevant gains from the application of each scenario. Application results for two cases / scenarios are also presented, so that the reader can see the applicability and overall value of the approach. Lessons learned and future research directions for service cost estimation are also described.

scholarly journals Generating a three-dimensional measuring scene for the forest sector as based on modern geodetic technologies

2021 ◽  
Vol 875 (1) ◽  
pp. 012083
Author(s):  
N Begliarov ◽  
E Mitrofanov ◽  
V Kiseleva
Keyword(s):  
Spatial Data ◽  
Laser Scanning ◽  
Forest Canopy ◽  
Method Development ◽  
Three Dimensional ◽  
Terrestrial Laser Scanning ◽  
Accurate Information ◽  
Forest Sector ◽  
Individual Tree ◽  
Cloud Of Points

Abstract Modern geodetic technologies of gathering three-dimensional spatial data incorporate terrestrial laser scanning and aerial photo survey from unmanned aerial vehicles. The combination of these technologies and joint result of survey provide the data of 3D point model and accurate information on trunks and crowns of individual trees. The paper examines the experiment with the application of method of formation of 3D measuring scene in the form of dense cloud of points combining the results of terrestrial laser scanning and materials of photogrammetric processing of UAV-provided data. The method eliminates basic shortcomings of each technology, enhances their advantages, and opens the way to the compilation of more representative 3D measuring scenes. A specific advantage of the method is the outcropping of detailed information on the form, size and condition of individual tree crowns. This option finds a practical application in landscape evaluation and design, remote measuring of trunk parameters excluding the felling of model trees for the compilation of regional timber account tables. The closest perspectives of method development are related to increasing the accuracy of combined survey by specifying flight missions and working with the light regime under forest canopy.

scholarly journals Wastewater surveillance for SARS-CoV-2 on college campuses: Initial efforts, lessons learned and research needs

2021 ◽  
Author(s):  
Sasha Harris-Lovett ◽  
Kara Nelson ◽  
Paloma Beamer ◽  
Heather N. Bischel ◽  
Aaron Bivins ◽  
...  
Keyword(s):  
Information Needs ◽  
Community Dynamics ◽  
The United States ◽  
Lessons Learned ◽  
Future Research ◽  
Community Members ◽  
Public And Private ◽  
College And University ◽  
Resource Needs ◽  
University Systems

AbstractBackgroundWastewater surveillance for SARS-CoV-2 is an emerging approach to help identify the risk of a COVID-19 outbreak. This tool can contribute to public health surveillance at both community (wastewater treatment system) and institutional (e.g., colleges, prisons, nursing homes) scales.ObjectivesThis research aims to understand the successes, challenges, and lessons learned from initial wastewater surveillance efforts at colleges and university systems to inform future research, development and implementation.MethodsThis paper presents the experiences of 25 college and university systems in the United States that monitored campus wastewater for SARS-CoV-2 during the fall 2020 academic period. We describe the broad range of approaches, findings, resource needs, and lessons learned from these initial efforts. These institutions range in size, social and political geographies, and include both public and private institutions.DiscussionOur analysis suggests that wastewater monitoring at colleges requires consideration of information needs, local sewage infrastructure, resources for sampling and analysis, college and community dynamics, approaches to interpretation and communication of results, and follow-up actions. Most colleges reported that a learning process of experimentation, evaluation, and adaptation was key to progress. This process requires ongoing collaboration among diverse stakeholders including decision-makers, researchers, faculty, facilities staff, students, and community members.

Food taxes and calories purchased in the virtual supermarket: a preliminary study

2017 ◽  
Vol 119 (12) ◽  
pp. 2559-2570 ◽  
Author(s):  
Maartje Poelman ◽  
Willemieke Kroeze ◽  
Wilma Waterlander ◽  
Michiel de Boer ◽  
Ingrid Steenhuis
Keyword(s):  
Three Dimensional ◽  
Saturated Fat ◽  
Lessons Learned ◽  
Future Research ◽  
Content Type ◽  
Randomized Controlled ◽  
Nutrient Profiling ◽  
Preliminary Study ◽  
Randomized Control ◽  
Condition B

Purpose The purpose of this paper is to examine the effectiveness of three food taxation schemes on energy (kcal), saturated fat (gram) and sugar (gram) purchased in the virtual supermarket. Design/methodology/approach Based on the literature, three food taxation schemes were developed (sugar tax, saturated fat tax and a nutrient profiling tax) and implemented in the three-dimensional virtual supermarket. A randomized control trial was conducted to determine the differences in the amount of energy (kcal), saturated fat (gram) and sugar (gram) purchased for a one-week food basket. Findings In total, 191 Dutch adults were randomly assigned to a sugar-tax condition (n=48), a saturated fat-tax condition (n=37), a nutrient profiling-tax condition (n=62) and a control (no-tax) condition (n=44). Fully adjusted models indicated that compared to the no-tax condition, no significant effects of a sugar-tax condition (B: −2,041 kcal (95% CI −5,350 to 1,914)), saturated fat-tax condition (B: −2,717 kcal (95% CI −6,596 to 1,163)) or nutrient profiling-tax condition (B: −1,124 kcal (95% CI −4,538 to 2,292)) were found on the amount of energy purchased. Also, none of the taxation schemes showed significant effects on saturated fat or sugar purchased. Originality/value This is one of the first randomized controlled trials testing the effectiveness of a variety of food taxes in the virtual supermarket. This preliminary study provides important directions for future research (the design, results, as well as the lessons learned with respect to recruitment, incentives and technology).

Development and Construct Validation of the German Workplace Trust Survey (G-WTS)

2010 ◽  
Vol 26 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Nale Lehmann-Willenbrock ◽  
Simone Kauffeld
Keyword(s):  
Convergent Validity ◽  
Affective Commitment ◽  
Discriminant Validity ◽  
Organizational Context ◽  
Organizational Trust ◽  
Three Dimensional ◽  
Future Research ◽  
Work Related ◽  
Reliable Assessment ◽  
Workplace Trust

In research on trust in the organizational context, there is some agreement evolving that trust should be measured with respect to various foci. The Workplace Trust Survey (WTS) by Ferres (2002) provides reliable assessment of coworker, supervisor, and organizational trust. By means of a functionally equivalent translation, we developed a German version of the questionnaire (G-WTS) comprising 21 items. A total of 427 employees were surveyed with the G-WTS and questionnaires concerning several work-related attitudes and behaviors and 92 of these completed the survey twice. The hypothesized three-dimensional conceptualization of organizational trust was confirmed by confirmatory factor analysis. The G-WTS showed good internal consistency and retest reliability values. Concerning convergent validity, all of the three G-WTS dimensions positively predicted job satisfaction. In terms of discriminant validity, Coworker Trust enhanced group cohesion; Supervisor Trust fostered innovative behavior, while Organizational Trust was associated with affective commitment. Theoretical and practical contributions as well as opportunities for future research with the G-WTS are discussed.

scholarly journals Three-Dimensional Thematic Map Imaging of the Yacht Port on the Example of the Polish National Sailing Centre Marina in Gdańsk

2021 ◽  
Vol 11 (15) ◽  
pp. 7016
Author(s):  
Pawel S. Dabrowski ◽  
Cezary Specht ◽  
Mariusz Specht ◽  
Artur Makar
Keyword(s):  
Spatial Data ◽  
Convex Surface ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Future Research ◽  
Two Dimensional ◽  
Thematic Maps ◽  
Research Directions ◽  
Future Research Directions ◽  
The Many

The theory of cartographic projections is a tool which can present the convex surface of the Earth on the plane. Of the many types of maps, thematic maps perform an important function due to the wide possibilities of adapting their content to current needs. The limitation of classic maps is their two-dimensional nature. In the era of rapidly growing methods of mass acquisition of spatial data, the use of flat images is often not enough to reveal the level of complexity of certain objects. In this case, it is necessary to use visualization in three-dimensional space. The motivation to conduct the study was the use of cartographic projections methods, spatial transformations, and the possibilities offered by thematic maps to create thematic three-dimensional map imaging (T3DMI). The authors presented a practical verification of the adopted methodology to create a T3DMI visualization of the marina of the National Sailing Centre of the Gdańsk University of Physical Education and Sport (Poland). The profiled characteristics of the object were used to emphasize the key elements of its function. The results confirmed the increase in the interpretative capabilities of the T3DMI method, relative to classic two-dimensional maps. Additionally, the study suggested future research directions of the presented solution.

scholarly journals An Exit Strategy for the Definitional Elusiveness: A Three-Dimensional Framework for Social Entrepreneurship

2021 ◽  
Vol 13 (2) ◽  
pp. 563
Author(s):  
Bing Ran ◽  
Scott Weller
Keyword(s):  
Social Change ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Social Entrepreneurship ◽  
Common Ground ◽  
Three Dimensional ◽  
Theoretical Framework ◽  
Future Research ◽  
Exit Strategy ◽  
Conceptual Paper

Despite the growing utility and prevalence of social entrepreneurship, an accepted definition remains elusive and infeasible. Yet, it is imperative that the principles guiding social entrepreneurship are identified so that common ground is established to facilitate future research. On the basis of a systematic literature review, this conceptual paper proposes a theoretical framework outlining social entrepreneurship as a three-dimensional framework as a function of continua of “social” and “business” logics, “beneficial” and “detrimental” social change logics, and “innovation” and “mundane” logics. The framework accommodates the fuzziness and ambiguity associated with social entrepreneurship whilst remaining a workable, identifiable construct. By accounting for the shifting logics practiced by social entrepreneurship that both influence and are influenced by the organizational environment, this framework provides an exit strategy for the definitional elusiveness of social entrepreneurship. The resultant structures and functions of social entrepreneurship are shaped by these constraints as reflected by the fluidity and flexibility endorsed by the framework. Four avenues for future research regarding social entrepreneurship are recommended on the basis of the framework proposed in this article.

scholarly journals Combining Virtual Reality and Organizational Neuroscience for Leadership Assessment

2021 ◽  
Vol 11 (13) ◽  
pp. 5956
Author(s):  
Elena Parra ◽  
Irene Alice Chicchi Giglioli ◽  
Jestine Philip ◽  
Lucia Amalia Carrasco-Ribelles ◽  
Javier Marín-Morales ◽  
...  
Keyword(s):  
Machine Learning ◽  
Eye Tracking ◽  
Ecological Validity ◽  
Objective Assessment ◽  
Leadership Skills ◽  
Three Dimensional ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Promising Tool ◽  
Future Research Agenda

In this article, we introduce three-dimensional Serious Games (3DSGs) under an evidence-centered design (ECD) framework and use an organizational neuroscience-based eye-tracking measure to capture implicit behavioral signals associated with leadership skills. While ECD is a well-established framework used in the design and development of assessments, it has rarely been utilized in organizational research. The study proposes a novel 3DSG combined with organizational neuroscience methods as a promising tool to assess and recognize leadership-related behavioral patterns that manifest during complex and realistic social situations. We offer a research protocol for assessing task- and relationship-oriented leadership skills that uses ECD, eye-tracking measures, and machine learning. Seamlessly embedding biological measures into 3DSGs enables objective assessment methods that are based on machine learning techniques to achieve high ecological validity. We conclude by describing a future research agenda for the combined use of 3DSGs and organizational neuroscience methods for leadership and human resources.

scholarly journals Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook

Machines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Yuhang Yang ◽  
Zhiqiao Dong ◽  
Yuquan Meng ◽  
Chenhui Shao
Keyword(s):  
High Resolution ◽  
High Performance ◽  
Sampling Design ◽  
Three Dimensional ◽  
Measurement Data ◽  
Data Driven ◽  
Surface Measurement ◽  
Smart Manufacturing ◽  
Future Research ◽  
3D Surface

High-fidelity characterization and effective monitoring of spatial and spatiotemporal processes are crucial for high-performance quality control of many manufacturing processes and systems in the era of smart manufacturing. Although the recent development in measurement technologies has made it possible to acquire high-resolution three-dimensional (3D) surface measurement data, it is generally expensive and time-consuming to use such technologies in real-world production settings. Data-driven approaches that stem from statistics and machine learning can potentially enable intelligent, cost-effective surface measurement and thus allow manufacturers to use high-resolution surface data for better decision-making without introducing substantial production cost induced by data acquisition. Among these methods, spatial and spatiotemporal interpolation techniques can draw inferences about unmeasured locations on a surface using the measurement of other locations, thus decreasing the measurement cost and time. However, interpolation methods are very sensitive to the availability of measurement data, and their performances largely depend on the measurement scheme or the sampling design, i.e., how to allocate measurement efforts. As such, sampling design is considered to be another important field that enables intelligent surface measurement. This paper reviews and summarizes the state-of-the-art research in interpolation and sampling design for surface measurement in varied manufacturing applications. Research gaps and future research directions are also identified and can serve as a fundamental guideline to industrial practitioners and researchers for future studies in these areas.

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