Country-level carbon balance of forest soils: a country-specific model based on case studies in Hungary

2013 ◽  
Vol 132 (5-6) ◽  
pp. 825-840 ◽  
Author(s):  
Z. Somogyi ◽  
A. Bidló ◽  
I. Csiha ◽  
G. Illés
2021 ◽  
Vol 9 (3) ◽  
pp. 48
Author(s):  
So Ra Park ◽  
Jae Young Jang

Existing global ESG models are limited in terms of applicability and predictability, especially in countries with an unstable environment. On the other hand, utilizing internally made or privately sourced ESG models have caused issues relating to generalizability, comparability, and continuity. In our research, we present an ESG framework that is specific to South Korea, which has both global and country-specific factors in all three categories. The AHP model is used to determine how the three categories’ materiality would be viewed by institutional investors as well as how country-specific factors rank against global factors. The results of this study show that institutional investors place more importance on environmental and governance factors compared to social factors. Factors including shareholders’ rights, pollution and waste, greenhouse gas emissions, and risk and opportunity management are found to have greater influences on investors’ investment decisions. In addition, it was confirmed that both of the country-specific variables for South Korea, partnership with subcontractor and CEO reputation, have a significant influence on investment decisions. By having the ESG model validated by institutional investors, who are the main users of ESG disclosures of corporations, our methodology of presenting a country-specific model can be benchmarked by studies on other emerging markets with a variety of country-level specificities.


Author(s):  
F. Vallais ◽  
F. Aletti ◽  
G. Baselli ◽  
E. Tam ◽  
M. Cautero ◽  
...  

2016 ◽  
Vol 15 (1) ◽  
pp. ar4 ◽  
Author(s):  
Adam Reinagel ◽  
Elena Bray Speth

In an introductory biology course, we implemented a learner-centered, model-based pedagogy that frequently engaged students in building conceptual models to explain how genes determine phenotypes. Model-building tasks were incorporated within case studies and aimed at eliciting students’ understanding of 1) the origin of variation in a population and 2) how genes/alleles determine phenotypes. Guided by theory on hierarchical development of systems-thinking skills, we scaffolded instruction and assessment so that students would first focus on articulating isolated relationships between pairs of molecular genetics structures and then integrate these relationships into an explanatory network. We analyzed models students generated on two exams to assess whether students’ learning of molecular genetics progressed along the theoretical hierarchical sequence of systems-thinking skills acquisition. With repeated practice, peer discussion, and instructor feedback over the course of the semester, students’ models became more accurate, better contextualized, and more meaningful. At the end of the semester, however, more than 25% of students still struggled to describe phenotype as an output of protein function. We therefore recommend that 1) practices like modeling, which require connecting genes to phenotypes; and 2) well-developed case studies highlighting proteins and their functions, take center stage in molecular genetics instruction.


2020 ◽  
Author(s):  
Johannes Gütschow ◽  
M. Louise Jeffery ◽  
Annika Günther ◽  
Malte Meinshausen

Abstract. Climate policy analysis needs reference scenarios to assess emissions targets and current trends. When presenting their national climate policies, countries often showcase their target trajectories against fictitious so-called baselines. These counterfactual scenarios are meant to present future Greenhouse Gas (GHG) emissions in the absence of climate policy. These so-called baselines presented by countries are often of limited use as they can be exaggerated and the methodology used to derive them is usually not transparent. Scenarios created by independent modeling groups using integrated assessment models (IAMs) can provide different interpretations of several socio-economic storylines and can provide a more realistic backdrop against which the projected target emission trajectory can be assessed. However, the IAMs are limited in regional resolution. This resolution is further reduced in intercomparison studies as data for a common set of regions are produced by aggregating the underlying smaller regions. Thus, the data are not readily available for country-specific policy analysis. This gap is closed by downscaling regional IAM scenarios to country-level. The last of such efforts has been performed for the SRES scenarios (Special Report on Emissions Scenarios), which are over a decade old by now. CMIP6 scenarios have been downscaled to a grid, however they cover only a few combinations of forcing levels and SSP storylines with only a single model per combination. Here, we provide up to date country scenarios, downscaled from the full RCP (Representative Concentration Pathways) and SSP (Shared Socio-Economic Pathways) scenario databases, using results from the SSP GDP (Gross Domestic Product) country model results as drivers for the downscaling process. The data is available at https://doi.org/10.5281/zenodo.3638137 (Gütschow et al., 2020).


2012 ◽  
Vol 4 (2) ◽  
pp. 1-18 ◽  
Author(s):  
José Eduardo Fernandes ◽  
Ricardo J. Machado ◽  
João Á. Carvalho

Model-Based/Driven Development (MDD) constitutes an approach to software design and development that potentially contributes to: concepts closer to domain and reduction of semantic gaps, automation and less sensitivity to technological changes, and the capture of expert knowledge and reuse. The widespread adoption of pervasive technologies as basis for new systems and applications lead to the need of effectively design pervasive information systems that properly fulfil the goals they were designed for. This paper presents a profiling and framing structure approach for the development of Pervasive Information Systems (PIS). This profiling and framing structure allows the organization of the functionality that can be assigned to computational devices in a system and of the corresponding development structures and models, being. The proposed approach enables a structural approach to PIS development. The paper also presents two case studies that allowed demonstrating the applicability of the approach.


Author(s):  
Prashant Srinivasan ◽  
Sanketh Bhat ◽  
Manthram Sivasubramaniam ◽  
Ravi Methekar ◽  
Maruthi Devarakonda ◽  
...  

Large bore reciprocating internal combustion engines are used in a wide variety of applications such as power generation, transportation, gas compression, mechanical drives, and mining. Each application has its own unique requirements that influence the engine design & control strategy. The system architecture & control strategy play a key role in meeting the requirements. Traditionally, control design has come in at a later stage of the development process, when the system design is almost frozen. Furthermore, transient performance requirements have not always been considered adequately at early design stages for large engines, thus limiting achievable controller performance. With rapid advances in engine modeling capability, it has now become possible to accurately simulate engine behavior in steady-states and transients. In this paper, we propose an integrated model-based approach to system design & control of reciprocating engines and outline ideas, processes and real-world case studies for the same. Key benefits of this approach include optimized engine performance in terms of efficiency, transient response, emissions, system and cost optimization, tools to evaluate various concepts before engine build thus leading to significant reduction in development time & cost.


2016 ◽  
Vol 120 ◽  
pp. 25-48 ◽  
Author(s):  
Fevzi Belli ◽  
Christof J. Budnik ◽  
Axel Hollmann ◽  
Tugkan Tuglular ◽  
W. Eric Wong

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