Delivering information for national low-emission development strategies

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CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security

The USDA EC LEDS Project aimed to improve the impact of research on low-emission development strategies in Colombia, Kenya, and Vietnam over 9 months. The project objectives were to 1) increase policymakers' use of research outputs to inform decisions, 2) improve policymakers' access to knowledge on low-emission development, and 3) synthesize lessons on best linking research to policymakers. The implementation process included evaluating impact pathways, co-designing action plans, implementing actions, and conducting a synthesis. Key lessons focused on co-developing outputs and outcomes tailored to policy needs and strategies. Potential future areas of work included mobilizing finance for climate strategies and bundling research with mitigation options to engage more actors.

CCAFS | University of Vermont
September 8, 2020
USDA EC LEDS Project
Delivering Information for National Low-Emission
Development Strategies

Purpose of the Project (Overview)
To improve the impact of EC-LEDS research outputs in the selected
countries (Colombia, Kenya and Vietnam)
Research
output
Policy makers use
output to inform LED
decisions
Output Outcome Impact
LED decisions
reduce emissions
Project Duration: 9 months (Jan – Sep 2020)
Project Partners: Ministry of Agriculture, Ministry of Environment, NDC
developers and implementers and producer federations

Project Objectives:
1. Deliver outcomes for country
projects: increase policy makers’ use of
EC-LEDS research outputs.
2. Improve policy makers’ access to LED
knowledge: Enable national policy
makers to better use LEDS research
outputs, for examples, CSA guidebook,
activity data for fertilizer use
3. Synthesize lessons about how to best
link EC-LEDS research outputs and
policy makers to generate outcomes.

Project Implementation:
• Evaluate Impact Pathways
• Co-design Action Plan
• Implement Actions
• Synthesis

Key Lessons:
• Co-developing LED outputs
• Co-developing outcomes
• Fitness to policy needs and
contribution to LED strategies

Potential Areas for
Future Work
• Mobilization of domestic and
international finance for supporting
NDC
• Bundling of EC LEDS research outputs
with other promising mitigation (and
adaptation) options in agriculture, and
• Identify the co-benefits of research
outputs to crowd in different actors for
scaling up and investment

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Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions among stars. Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars. The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun. Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically, the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec. Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation were carried out using the ACIS-Extract software. Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a photon flux threshold of approximately 2 × 10−8 photons cm−2 s −1 . The X-ray sources exhibit a highly concentrated spatial distribution, with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.

8.Isolation of pure cultures and preservation of cultures.pdf

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在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样

vluwdy49

学校原件一模一样【微信：741003700 】《(salfor毕业证书)索尔福德大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt

HongcNguyn6

Applied Science: Thermodynamics, Laws & Methodology.pdf

University of Hertfordshire

When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best. Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level. Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.

Describing and Interpreting an Immersive Learning Case with the Immersion Cub...

Leonel Morgado

Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.

Basics of crystallography, crystal systems, classes and different forms

MaheshaNanjegowda

Phenomics assisted breeding in crop improvement

IshaGoswami9

As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus, high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology, and analysis methods, numerous infrastructure platforms have been developed for phenotyping.

Randomised Optimisation Algorithms in DAPHNE

University of Maribor

Deep Software Variability and Frictionless Reproducibility

University of Rennes, INSA Rennes, Inria/IRISA, CNRS

The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions. Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability. Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields. I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating). I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems. Exposé invité Journées Nationales du GDR GPL 2024

NuGOweek 2024 Ghent programme overview flyer

pablovgd

Immersive Learning That Works: Research Grounding and Paths Forward

Leonel Morgado

We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.

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在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样

mô tả các thí nghiệm về đánh giá tác động dòng khí hóa sau đốt

Applied Science: Thermodynamics, Laws & Methodology.pdf

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Basics of crystallography, crystal systems, classes and different forms

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Deep Software Variability and Frictionless Reproducibility

NuGOweek 2024 Ghent programme overview flyer

Immersive Learning That Works: Research Grounding and Paths Forward

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Delivering information for national low-emission development strategies

1. CCAFS | University of Vermont September 8, 2020 USDA EC LEDS Project Delivering Information for National Low-Emission Development Strategies

2. Purpose of the Project (Overview) To improve the impact of EC-LEDS research outputs in the selected countries (Colombia, Kenya and Vietnam) Research output Policy makers use output to inform LED decisions Output Outcome Impact LED decisions reduce emissions Project Duration: 9 months (Jan – Sep 2020) Project Partners: Ministry of Agriculture, Ministry of Environment, NDC developers and implementers and producer federations

3. Project Objectives: 1. Deliver outcomes for country projects: increase policy makers’ use of EC-LEDS research outputs. 2. Improve policy makers’ access to LED knowledge: Enable national policy makers to better use LEDS research outputs, for examples, CSA guidebook, activity data for fertilizer use 3. Synthesize lessons about how to best link EC-LEDS research outputs and policy makers to generate outcomes.

4. Project Implementation: • Evaluate Impact Pathways • Co-design Action Plan • Implement Actions • Synthesis

5. Key Lessons: • Co-developing LED outputs • Co-developing outcomes • Fitness to policy needs and contribution to LED strategies

6. Potential Areas for Future Work • Mobilization of domestic and international finance for supporting NDC • Bundling of EC LEDS research outputs with other promising mitigation (and adaptation) options in agriculture, and • Identify the co-benefits of research outputs to crowd in different actors for scaling up and investment

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