Set Of Projects Research Articles

Holistic Approach to Ship Design

The recently completed Horizon 2020 European Research project—HOLISHIP—Holistic Optimization of Ship Design and Operation for Life Cycle (2016–2020) has developed suitable tools and software platforms which are necessary for the creation of innovative design solutions meeting the set low-emission strategic objectives. The present paper introduces an innovative, holistic approach to ship design and the development of integrated design software platforms and tools, which are used in practical applications. In the era of the 4th industrial revolution, this project sets out to substantially advance ship design via the introduction of a fully computerized, multi-disciplinary optimization approach to ship design and life-cycle operation. The approach enables the exploration of a huge design space in a relatively short time, as well as the distributed/multi-site working and the virtual reality testing; thus, it is a strong asset for the development of innovative maritime concepts in response to the needs of the 21st century.

CropBooster‐P: Towards a roadmap for plant research to future‐proof crops in Europe

AbstractThe world needs more than double its current agricultural productivity by 2050 to produce enough food and feed, as well as to provide feedstock for the bioeconomy. These future increases will not only need to be sustainable but without comprommising the nutritional quality, and ideally also need to decrease greenhouse gas emissions and increase carbon sequestration to help mitigate the consequences of global climate change. These challenges could be tackled by developing and integrating new future‐proof crops into our food system. The H2020 CropBooster‐P project sets out plant‐centered breeding approaches guided by a broad socio‐economic and societal support. First, the potential approaches for breeding crops with sustainably increased yields adapted to the future climate of Europe are identified. These crop‐breeding options are subsequently prioritized and their adoption considered by experts across the agri‐food system and the wider public, taking into account environmental, economic and other technical criteria. In this way, a specific research agenda to future‐proof our crops was developed, supported by an eventual implementation plan.

A Distributed Proximal Primal–Dual Algorithm for Energy Management With Transmission Losses in Smart Grid

This article aims to address the problem of distributed energy management for both the generation and demand sides in smart grid. Different from many existing works, we investigate the SWM problem with transmission losses. In addition, instead of transforming the local constraint into an approximate penalty function or the projection set, we consider it as a convex nonsmooth indicator function from a different viewpoint. For such a composite problem consisting of smooth and nonsmooth terms, we propose a distributed proximal primal–dual algorithm based on dual decomposition and operator splitting techniques. Each node performs the algorithm through only local computation and communication with limited information, especially not sharing the sensitive gradient directly. It is also proved that the proposed algorithm leads to the global optima at a convergence rate <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$O(\frac{1}{k})$</tex-math></inline-formula> with a fixed stepsize. Several simulations verify the theoretical analysis and demonstrate the effectiveness of the proposed algorithm.

Climate change on Eucalyptus plantations and adaptive measures for sustainable forestry development across Brazil

The main challenges facing the Eucalyptus plantation industry are employing sustainable projects in suitable areas, and using safer forestry strategies, given climate variability and climate change. Brazil is the world’s largest Eucalyptus producer, and more areas have been allocated for Eucalyptus plantations, even in areas that are considered persistent climate change hotspots. Researchers can combine adequate agroclimatic zoning methods with Earth System Model (ESMs) outputs to analyze changes to climate variables, to map suitable areas, and to outline adaptive measures for Eucalyptus plantations. Despite these facts, studies on the Eucalyptus species are still scarce. This study analyzed the impacts of climate change to suitable areas for planting Eucalyptus in Brazil, using proper Agroclimatic Zoning (AZ) method, and outlining effective adaptive measures for sustainable Eucalyptus cultivation under future climate scenarios. Daily precipitation, air temperature (mean and maximum), and global solar radiation data were used from a set of simulations and projections of nine ESMs, from the Coupled Model Intercomparison Project Phase 5 (CMIP5), in two Representative Concentration Pathway scenarios (RCP 4.5 and 8.5). The AZ method was simulated for the current climate (1980–2005), and projected for the near (2021–2050), and far future (2071–2100) climates, in two RCPs. Given intense and persistent changes to precipitation, air temperature, evapotranspiration, and water deficits, i.e., prolonged and continued changes to climate variables resulting from climate change, Eucalyptus plantations will be restricted and economically unfeasible for industrial purposes for about 15 % (RCP 4.5), to 47 % (RCP 8.5), of Brazil in the far future, covering a large part of the North, the north of the Center-West, and the northwestern part of the Northeast, including the new Brazilian agroforestry frontier (MATOPIBA). Only ∼12 % of Brazil, encompassing small areas of the South, the South-Southeast, and a small portion in the Northwest region of the North, will be suitable for Eucalyptus plantations, since these regions are less vulnerable to climate change. As for the rest of Brazil (between ∼42 % and ∼80 %), regular suitability is projected, and the future of Eucalyptus plantations in these places will depend on adopting ‘effective adaptive measures’ and making ‘safe silvicultural decisions’ in order to deal with projected temperature increases and water deficits, including genotypes selection, improvements in hybridization techniques or breeding programs, planting in wider spacings (or lower stockings), and thinning and pruning at shorter intervals.

Archaeometric Characterization of Wall Paintings from Isera and Ventotene Roman Villas

The authors present the first results of an archaeometric research project set up by the Rovereto Civic Museum Foundation in collaboration with MUSE–Trento Science Museum, aiming at analysing and comparing Roman plasters from different sites in order to highlight similarities and differences related to the preparation and realization of Roman wall renderings. The data concern the characterization of plaster samples from the Roman Villa of Isera and Ventotene (northern and central Italy) by means of a thin-section mineropetrographic examination under an optical microscope and a scanning electron microscope (SEM).

Building-as-a-Service: The opportunities of service-dominant logic for construction

Construction as one of the largest industries worldwide is not necessarily a frontrunner in the application of digital technologies, tools, procedures, and processes. This has been demonstrated in innumerable reports and scholarly work. The industry has a reputation for delivering projects late, over budget and with improvable quality; all of this combined with a certain digital ignorance. Moreover, it is known for having a Goods-Dominant Logic, which is focused on distribution and management of tangible units of output. This is combined with Taylorism resulting in separation of the role of managing the work from the actual execution of work. The planning and erection of a building is cross-cultural, cross-country project setting due to the diverse nature of the industry and its globalised value chain. Building Information Modelling (BIM), a three-dimensional representation of information including its corresponding management in asset’s life cycle is considered as one of the enablers for the digital future of construction. However, the development of service-dominant logic within the construction industry has not kept pace with technological and technical possibilities or is not discernible. This is based on a very traditional approach of money for goods which in this case means money for planned and built assets. Service as a unit of exchange is very rarely considered in the sector. As has been shown in other sectors, this can lead to further (more profitable) business models and further increases in efficiency and effectiveness. The aim of the paper is to show the opportunities that exist if buildings are not considered as amalgamation of materials and goods but as a service model. The paper shows what Service-Dominant Logic (SDL) in combination with BIM could offer to the industry and discusses the term Building-as-a-Service (BaaS) from an SDL perspective.

Learning Culture in a Virtual Classroom

The study reports how “A Glimpse of China,” a cultural course that had been typically conducted offline for cultural immersion, adapted to the COVID-19-imposed challenges of an online transition. The teaching team sought the guidance of social constructivism and the WisCom Framework, made adaptations in the instructional design, assessed the learning outcomes and course effects, and proposed a plan for future improvements. Content analysis of the course reports of 10 students from Class 2020 and 2021 confirmed the success of the online transition, and yet indicated that experiential learning and interactive collaboration should be strengthened for better learning experience and outcomes. As an improvement for future students, a set of experiential projects is developed. Each project constitutes a collaborative inquiry cycle that aims to build a more desirable wisdom community for both the learners and the instructor.

More on ideal limit points

In this paper we continue the study of ideal limit points. We introduce a new combinatorial property of ideals called weakly P+, and investigate the relation between P+, weakly P+ and the complexity of ideal limit points. Moreover, we clarify the relation between ideal limit points, ideal cluster points and ordinary ideal limit points. Finally, we investigate the projective hierarchy of ideal limit points.

Integrated early-stage environmental and economic assessment of emerging technologies and its applicability to the case of plasma gasification

Economic and environmental impact assessments are increasingly being adopted in the design and implementation of emerging systems. However, their emerging nature leads to several assessment challenges that need to be addressed to ensure the validity and usefulness of results in understanding their potential performance and supporting their development. There is the need to (i) account for spatial and temporal variability to allow a broader perspective at an early stage of development; (ii) handle uncertainties to systematically identify the critical factors and their interrelations that drive the results; (iii) integrate environmental and economic results to support sound decision-making based on two sustainability aspects. To address these assessment challenges, this study presents an alternative approach with the following corresponding features: (i) multiple scenario development to conduct an exploratory assessment of the systems under varying conditions and settings, (ii) global sensitivity analysis to identify the main critical factors and their interrelations, and (iii) trade-off and eco-efficiency analysis to integrate the economic and environmental results. The integrated approach is applied to a case study on plasma gasification for solid waste management. The results of the study highlight how the approach allows the identification of the dynamic relations between project settings and surrounding conditions. For example, the choice of gasifying agent largely depends on the background energy system, which dictates the impacts of the process energy requirement and the savings from the substituted energy of the syngas output. Based on these findings, the usefulness and validity of the proposed integrated approach are discussed in terms of how the key assessment challenges are addressed and how it can provide guidance for the development of emerging systems.

Connect the last mile - textual entailment identify efforts in bridging the digital divide

With many people’s life and work more and more Internet-dependent, we yet have to face the persistent digital divide. In the U.S., funding programs in the past allocated resources to incumbent Internet Service Providers (ISP) who failed to connect the rural and low-income communities. This is largely due to an information mismatch - the financially strong ISPs do not necessarily have the vision to connect the marginalized community. This project sets out to build a multidimensional profile database of ISPs that emphasizes the potential of serving the underserved or unserved areas. By applying the Textual Entailment Natural Language Processing algorithm, we infer the vision, goals, and identity of more than 1,000 ISPs using a large number of self-description texts from their websites. Then we created an ISP typology based on the socio-economic profiles of the service areas of these ISPs and their business vision. Deviating from the traditional bifurcating definition of “for-profit” and “non-profits” business, this ISP typology illustrates evident geographical, social, and service quality level division of the current Internet services in the U.S. Planners and policymakers could use this typology to create specific funding programs that effectively address the current digital divide.

Proses Editing Video konten pada Adobe Premier Pro di TV9 Nusantara Surabaya

&#x0D; &#x0D; This internship report discusses the process of editing video content using Adobe Premiere Pro at TV9 Nusantara Surabaya. The aim of this report is to provide information about the video editing process carried out at TV9 Nusantara Surabaya using Adobe Premiere Pro software. The methods used in this research are observation, interviews, and documentation. The results of this research show that the video editing process at TV9 Nusantara Surabaya using Adobe Premiere Pro involves several stages, including importing files, project settings, clip cutting, adding effects, and project completion. Additionally, this report also discusses the role and responsibilities of a video editor at TV9 Nusantara Surabaya in the video editing process. It is hoped that this report can be a reference for broadcasting students who want to learn about the video editing process at a television station.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;

Assessing the phosphorus demand in European agricultural soils based on the Olsen method

Overcoming the consequences of future scarcity of P is crucial to ensure agriculture sustainability. This requires decision-making processes depending on data on the P status of agricultural fields, commonly conducted with soil P tests (SPTs), and efficient use of the resource on a societal scale following a circular economy approach. All this will decrease the P losses and the subsequent environmental impact. However, SPTs are not universal and, even for a given SPT, the definition of threshold values for fertilizer response is not accurate. This work aimed to define models to predict Olsen P threshold values, allowing the identification of P-responsive sites at the European scale as a basis for more accurate and sustainable P fertilization schemes based on a circular economy approach. To this end, a data set was compiled based on a literature review that describes the Olsen P threshold values for different crops under field conditions. Subsequently, an analysis of potential P fertilizer requirements was performed on agricultural soils of the European Union (EU) using the data set of the LUCAS project and how this need can be covered with a circular economy approach.Environmental factors were more relevant than crops to explain the variation in threshold values. A regression model involving soil pH and clay content and annual average rainfall as independent variables explained 61% of the variance in Olsen P threshold values. When soil pH and clay content were the only explanatory variables, the explained variance was 49%. This reveals the need to take into account factors related to P buffer and sorption capacity to estimate accurate threshold values. We detected that only 27.8% of EU cropland soils and 42.7% of grassland soils were P-responsive. We can conclude that a more precise allocation of the resource is possible in P-responsive sites and also that most of the European demand for P could be covered by recycling P from manure, wastewater, and municipal solid waste.

What Skills for Multi-Partner Open Innovation Projects? Open Innovation Competence Profile in a Cluster Ecosystem Context

Industry 4.0 and the turbulent environment have rendered increasing interest in open innovation that extends from the bilateral transmission of expertise to multilateral platform collaborations. Open innovation ventures are seen as intricate collaborations that require the commitment of numerous partners during the lifetime of the project. In order to examine the specific competence of open innovation teams, we set the research question as follows: What individual competencies facilitate the exchange of knowledge in open innovation projects? We explored the theoretical framework of open innovation and collected information from a nation-wide, cross-industrial set of OI projects from three high-performing clusters, facilitating a total of 102 OI projects to identify open innovation competence dimensions, thus creating a novel profile. The outcomes showed that competencies facilitate the exchange of knowledge in open innovation ventures in distinct ways. Our findings showed that open innovation competence can be captured using a profile with the dimensions of creativity, entrepreneurship, communication and networking, open-minded thinking, risk-taking, and self-efficacy in digital skills. These dimensions of the open innovation competence profile are necessary for cluster project set-up. This analysis demonstrated that components of the open innovation competence profile could be paramount in understanding the underlying factors in the success of collaborative innovation projects.

Regular projections in o-minimal structures

In this paper, we prove that for a given definable set X⊂Rn with empty interior there exists a definable bi-Lipschitz homeomorphism h:Rn→Rn such that h(X) has a finite set of regular projections (in the sense of Mostowski). A consequence of this result is the existence of definable regular covers for definable sets, which is a positive answer to a question of Parusiński.

Information content of and the ability to reconstruct dichroic X-ray tomography and laminography.

Dichroic tomography is a 3D imaging technique in which the polarization of the incident beam is used to induce contrast due to the magnetization or orientation of a sample. The aim is to reconstruct not only the optical density but the dichroism of the sample. The theory of dichroic tomographic and laminographic imaging in the parallel-beam case is discussed as well as the problem of reconstruction of the sample's optical properties. The set of projections resulting from a single tomographic/laminographic measurement is not sufficient to reconstruct the magnetic moment for magnetic circular dichroism unless additional constraints are applied or data are taken at two or more tilt angles. For linear dichroism, three polarizations at a common tilt angle are insufficient for unconstrained reconstruction. However, if one of the measurements is done at a different tilt angle than the other, or the measurements are done at a common polarization but at three distinct tilt angles, then there is enough information to reconstruct without constraints. Possible means of applying constraints are discussed. Furthermore, it is shown that for linear dichroism, the basic assumption that the absorption through a ray path is the integral of the absorption coefficient, defined on the volume of the sample, along the ray path, is not correct when dichroism or birefringence is strong. This assumption is fundamental to tomographic methods. An iterative algorithm for reconstruction of linear dichroism is demonstrated on simulated data.

Social and Economic Factors of Violence Against Women in the South of Moldova: Identification, Estimation, and Mechanisms of Elimination

A surge in violence against women requires a better understanding of its causes and factors, which is the problem that this study seeks to address. This study aims to identify mechanisms through which these factors are reproduced on all levels of the gender system (individual, family, social milieu, professional milieu, state institutions). The focus is made on the case of the Autonomous Territorial Unit Gagauzia in Moldova. The study relies on systems analysis methods and approaches based on the institutional economic theory, systems theory and gender economics to assess the impact of socio-economic factors on the likelihood of intimate partner violence (IPV) in this region. In Gagauzia, there is a decline in women’s opportunities to realize their economic rights and ensure their financial independence. While the incomes of households are falling, gender discrimination, including physical violence, is perceived as justified by more and more people. Another contributing factor is the lack of effective mechanisms for IPV prevention. The factors contributing to IPV are related to the system of specialized institutions, which impose sanctions for violating the rules of gender stereotypical behavior. The study proposes a set of projects to promote more egalitarian norms on all levels of the gender system.

Unmarginalising participation in the past and enabling engagement in community archaeology – Dig Greater Manchester, a case study

ABSTRACT Dig Greater Manchester (DGM) was a large archaeological community engagement project operating within Britain during the years 2011 to 2016. Its scope and scale were designed to assess the impact of enabling local communities and individuals to acquire and enhance heritage skills and awareness of heritage-based practices, whilst also contributing to the exploration of the city region's experience of industrialisation. This paper looks at the ways in which the Dig Greater Manchester community archaeology project set about recording the impact of the project, especially individuals with learning disabilities. The community impact data was captured through specifically designed feedback questionnaires, one-to-one interviews with adult volunteers, one-to-one interviews with disability volunteers, and the input of psychology researchers from the University of Salford. The results provide data on how archaeology engagement activities can help to build communities and break down barriers, but also highlight areas where the project could have been improved.

Where and When Does Streamflow Regulation Significantly Affect Climate Change Outcomes in the Columbia River Basin?

AbstractThe Columbia River basin is a large transboundary basin located in the Pacific Northwest. The basin spans seven US states and one Canadian province, encompassing a diverse range of hydroclimates. Strong seasonality and complex topography are projected to give rise to spatially heterogeneous climate effects on unregulated streamflow. The basin's water resources are economically critical, and regulation across the domain is extensive. Many sensitivity studies have investigated climate impacts on the basin's naturalized hydrology; however, few have considered the large role of regulation. This study investigates where and when regulation affects projected changes in streamflow by comparing climate outcomes across 80‐member ensembles of unregulated and regulated streamflow projections at 75 sites across the basin. Unregulated streamflow projections are taken from an existing data set of climate projections derived from Coupled Model Intercomparison Project version 5 Global Climate Models. Regulated streamflow projections were modeled by the US Army Corps of Engineers and the US Bureau of Reclamation by using these unregulated flows as input to hydro‐regulation models that simulate operations based on current and historical water demands. Regulation dampens shifts in winter and summer streamflow volumes. Regulation generally attenuates changes in cool‐season high flow extremes but amplifies shifts in warm‐season and annual high flow extremes at historically snow‐dominant headwater reservoirs. Regulation reduces dry‐season low flow changes in headwater tributaries where regulation is large but elsewhere has little effect on changes in low flows. Results highlight the importance of accounting for water management in climate sensitivity analysis particularly in snow‐dominant basins.

Building Consensus for Sustainable Development: Evaluation Theory Insights

The sustainable development goals orient the development path for each country by defining goals, sub-goals, and indicators for programming and control. The goals achievement is conditioned to the consensus of the populations involved; indeed, politicians cannot or do not want implement projects without gathering the necessary consensus. To achieve the demanded transition, tools evaluating a set of projects achieving targets, well-being, and consensus simultaneously are required. This manuscript enquires the generation of such tools by extensively debating willingness to pay and related techniques by seeking a theory bridging the actual value and actual consensus of projects. The outcome is a theoretical base useful to orient evaluation research toward the design of tools helpful to achieve sustainable development goals.

A Cross-case Analysis on the Barriers to Knowledge Sharing Practices in Construction Joint Ventures

Construction joint ventures often used as a strategic platform to facilitate learning and acquire knowledge associated with individual partner skills and capabilities, and further integrate the new knowledge into their own system and structure. Although previous literature has highlighted many benefits of joint ventures, in reality it does not work well as people are often hesitant to share their knowledge and experience. Furthermore, the nature of construction projects and temporary setting of joint venture organisations often results in difficulty to retain the knowledge of each project member once the project completed, and the joint venture dissolved. Such problems become more critical in the local-foreign joint venture projects where knowledge has to be shared across different organisations and national culture. This research paper aims to assess the barriers for knowledge sharing practices by using cross-case analysis of joint venture projects as case studies. This research took a qualitative approach with a multiple-case study method adopted to perform exploratory case studies into construction joint ventures in Malaysia. Qualitative data were collected using the semi-structured interview techniques with 20 interviewees from two case studies. The primary data was analysed using content analysis and cognitive mapping techniques. The research findings revealed several barriers to knowledge sharing practices within joint venture project settings such as the cultural barriers, lack of loyalty and project continuity, language barriers, unwilling to share and learn; and lack of time. The Malaysian construction industry is taking initiatives to improve its current project performance through capacity development which is one of the strategic thrusts outlined in CIDB Construction Revolution 4.0 (CR4.0). The capacity development can be done by encouraging the collaboration between construction participants. It gives a very significant justification for undertaking this research focusing on improving the collaboration and project performance of joint venture project settings through effective knowledge sharing.