scholarly journals Editorial for the special issue of STVR on tests and proofs volume 2: tests and proofs for improving the generation time and quality of test data suites

2014 ◽  
Vol 24 (8) ◽  
pp. 591-592 ◽  
Author(s):  
Achim D. Brucker ◽  
Jacques Julliand
Keyword(s):  
Test Data ◽  
Generation Time ◽  
Special Issue

scholarly journals Introduction to the special issue: multiple jobholding in Europe

2021 ◽  
Vol 27 (2) ◽  
pp. 141-147
Author(s):  
Wieteke Conen ◽  
Karin Schulze Buschoff
Keyword(s):  
Labour Market ◽  
Social Protection ◽  
Special Issue ◽  
Clear Trend ◽  
Policy Makers ◽  
Quality Of Work ◽  
Labour Market Flexibility ◽  
Employment Situation ◽  
Over Time

In a number of European countries there is a clear trend towards increased multiple jobholding. As things stand, however, little is known about the structure and the potential consequences of this increase, notably in terms of quality of work and social protection. This special issue focuses on contemporary forms of multiple jobholding in Europe. Have the structure, nature and dynamics of multiple jobholding changed over time? What are the roles of labour market flexibility, technological change and work fragmentation in the development of multiple jobholding? And do multiple jobholders benefit from similar and adequate employment terms, conditions and protections compared with single jobholders, or are they worse off as a consequence of their (fragmented) employment situation? What implications do these findings have for unions, policy-makers and the regulation of work? The collection of articles in this special issue adds to the literature on emerging forms of employment in the digital age and challenges for social protection, also in light of the COVID-19 pandemic. This introduction initiates a discussion of central debates on multiple jobholding and presents a synopsis of the articles in this issue.

scholarly journals Editorial for the Special Issue on “Experiencing the City: The Relation between Urban Design and People’s Well-Being”

2021 ◽  
Vol 18 (5) ◽  
pp. 2485
Author(s):  
Minou Weijs-Perrée ◽  
Gamze Dane ◽  
Pauline van den Berg
Keyword(s):  
Quality Of Life ◽  
Urban Design ◽  
Well Being ◽  
Special Issue ◽  
The City

Urbanization brings major challenges with regard to livability and the health and quality of life of citizens [...]

scholarly journals Hubungan Antara Kualitas Guru dengan Prestasi Belajar Siswa pada Mata Pelajaran Housekeeping

Media Wisata ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Sri Larasati
Keyword(s):  
Student Achievement ◽  
Data Analysis ◽  
Teacher Quality ◽  
Test Data ◽  
Moment Analysis ◽  
Analysis Method ◽  
Improve Performance ◽  
Employment Practices ◽  
The Relationship

Teacher Quality is one factor that determines student achievement, the research to find out the relationship and contribution to the quality of teachers to student achievement in subjects Housekeeping. This Reseach is expected to expective to be useful for teachers to improve performance. To measure student achievement are used Pearson Product Moment analysis method. Of test data analysis can be seen that there is asignificant relationship with the teacher quality anatara student achiement, which toount (7.09423) is greater than ttable (2.021). Whereas the contribution of teacher quality on student achiement is the amount of KP 46.64% while the remaining 53.36% is determinedby other variables is one of the largest employment practices in the industry.

scholarly journals Enabling Entrepreneurial Choice

2021 ◽  
Author(s):  
Ajay Agrawal ◽  
Joshua S. Gans ◽  
Scott Stern
Keyword(s):  
Management Science ◽  
Third Parties ◽  
Single Test ◽  
Special Issue ◽  
Alternative Strategies ◽  
Entrepreneurial Performance ◽  
Multiple Strategies ◽  
65Th Anniversary ◽  
The Cost

Entrepreneurs must choose between alternative strategies for bringing their idea to market. They face uncertainty regarding both the quality of their idea as well as the efficacy of each strategy. Although entrepreneurs can reduce this uncertainty by conducting tests, any single test conflates the signal of the efficacy of the particular strategy and the quality of the idea. Resolving this conflation requires exploring multiple strategies. Consequently, entrepreneurial choice is enhanced by finding ways to lower the cost of testing multiple strategies, receiving guidance as to the types of tests likely to reduce signal conflation, and optimally sequencing tests based on previous beliefs. This creates a role for judgment that may be provided by trusted third parties such as mentors and investors. We hypothesize that institutions that lower the cost of transmitting and aggregating judgment spur entrepreneurial performance. This paper was accepted by David Simchi-Levi, Special Issue of Management Science: 65th Anniversary.

scholarly journals Rethinking science communication in a changing landscape

2021 ◽  
Vol 20 (03) ◽  
pp. E
Author(s):  
Frank Kupper ◽  
Carolina Moreno-Castro ◽  
Alessandra Fornetti
Keyword(s):  
New Media ◽  
Public Sphere ◽  
Science Communication ◽  
Special Issue ◽  
The Public ◽  
The Public Sphere ◽  
Selection Of

Science communication continues to grow, develop and change, as a practice and field of research. The boundaries between science and the rest of society are blurring. Digitalization transforms the public sphere. This JCOM special issue aims to rethink science communication in light of the changing science communication landscape. How to characterize the emerging science communication ecosystem in relation to the introduction of new media and actors involved? What new practices are emerging? How is the quality of science communication maintained or improved? We present a selection of papers that provide different perspectives on these questions and challenges.

scholarly journals Introduction to the Special Issue: Legumes as Food Ingredient: Characterization, Processing, and Applications

Foods ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1525
Author(s):  
Alfonso Clemente ◽  
Jose C. Jimenez-Lopez
Keyword(s):  
Grain Legumes ◽  
Sensory Profile ◽  
Special Issue ◽  
Food Ingredient ◽  
Food Ingredients ◽  
Wide Range ◽  
Key Aspects ◽  
Lactic Bacteria ◽  
Essential Food

Legumes are major ingredients in the Mediterranean diet, playing an essential role in developing countries. Grain legumes, such as lentil, chickpea, pea, lupin and beans, among others, are recognized as good sources of proteins, starch, fiber, vitamins and minerals for human nutrition, being an essential food crop for people worldwide. Due to their nutritional and techno-functional properties, legumes are widely used by the food industry as ingredients in a wide range of products for general and specific groups of the population, including vegetarians, diabetics or celiac patients. The Special Issue “Legumes as Food Ingredients: Characterization, Processing, and Applications” covers key aspects regarding the nutritional quality of legume flours and their derived products, as well as the health benefits of some of their bioactive components. The amounts of antinutritional components, such as certain allergens that might pose risks to sensitized consumers, are reported to be reduced by processing. Several pretreatments, including fermentation with lactic bacteria and yeasts, are used to improve the nutritional and sensory profile of the legume-derived products, increasing their acceptance by consumers.

scholarly journals 2D Image-To-3D Model: Knowledge-Based 3D Building Reconstruction (3DBR) Using Single Aerial Images and Convolutional Neural Networks (CNNs)

2019 ◽  
Vol 11 (19) ◽  
pp. 2219 ◽  
Author(s):  
Fatemeh Alidoost ◽  
Hossein Arefi ◽  
Federico Tombari
Keyword(s):  
Test Data ◽  
3D Models ◽  
Parametric Models ◽  
Aerial Images ◽  
Aerial Image ◽  
Absolute Deviation ◽  
Multi Scale ◽  
Knowledge Based ◽  
Linear Elements

In this study, a deep learning (DL)-based approach is proposed for the detection and reconstruction of buildings from a single aerial image. The pre-required knowledge to reconstruct the 3D shapes of buildings, including the height data as well as the linear elements of individual roofs, is derived from the RGB image using an optimized multi-scale convolutional–deconvolutional network (MSCDN). The proposed network is composed of two feature extraction levels to first predict the coarse features, and then automatically refine them. The predicted features include the normalized digital surface models (nDSMs) and linear elements of roofs in three classes of eave, ridge, and hip lines. Then, the prismatic models of buildings are generated by analyzing the eave lines. The parametric models of individual roofs are also reconstructed using the predicted ridge and hip lines. The experiments show that, even in the presence of noises in height values, the proposed method performs well on 3D reconstruction of buildings with different shapes and complexities. The average root mean square error (RMSE) and normalized median absolute deviation (NMAD) metrics are about 3.43 m and 1.13 m, respectively for the predicted nDSM. Moreover, the quality of the extracted linear elements is about 91.31% and 83.69% for the Potsdam and Zeebrugge test data, respectively. Unlike the state-of-the-art methods, the proposed approach does not need any additional or auxiliary data and employs a single image to reconstruct the 3D models of buildings with the competitive precision of about 1.2 m and 0.8 m for the horizontal and vertical RMSEs over the Potsdam data and about 3.9 m and 2.4 m over the Zeebrugge test data.

scholarly journals Labor Laid Waste: An Introduction to the Special Issue on Waste Work

2019 ◽  
Vol 95 ◽  
pp. 1-17 ◽  
Author(s):  
Jacob Doherty ◽  
Kate Brown
Keyword(s):  
Human Capital ◽  
Social Science ◽  
Labor History ◽  
Social Science Research ◽  
Science Research ◽  
Special Issue ◽  
Material Quality ◽  
Precarious Labor ◽  
The Relationship

AbstractWaste studies brings to labor history a suite of conceptual tools to think about precarious labor, human capital, migration, the material quality of labor in urban and rural infrastructures, and the porosity and interchangeability of workers’ bodies in the toxic environments in which they labor. In this introduction, we explore the conceptual insights that the study of waste offers for the field of labor history, and what, in turn, a focus on labor history affords to social science research on waste. We examine the relationship between surplus populations and surplus materials, the location of waste work at the ambiguous fulcrum of trash and value, and the significance of labor for the understanding of infrastructure.

Sign in / Sign up

Export Citation Format

Share Document