Seeds Buffering for Information Spreading Processes

Seeding strategies for influence maximization in social networks have been studied for more than a decade. They have mainly relied on the activation of all resources (seeds) simultaneously in the beginning; yet, it has been shown that sequential seeding strategies are commonly better. This research focuses on studying sequential seeding with buffering, which is an extension to basic sequential seeding concept. The proposed method avoids choosing nodes that will be activated through the natural diffusion process, which is leading to better use of the budget for activating seed nodes in the social influence process. This approach was compared with sequential seeding without buffering and single stage seeding. The results on both real and artificial social networks confirm that the buffer-based consecutive seeding is a good trade-off between the final coverage and the time to reach it. It performs significantly better than its rivals for a fixed budget. The gain is obtained by dynamic rankings and the ability to detect network areas with nodes that are not yet activated and have high potential of activating their neighbours.Comment: Jankowski, J., Br\'odka, P., Michalski, R., & Kazienko, P. (2017, September). Seeds Buffering for Information Spreading Processes. In International Conference on Social Informatics (pp. 628-641). Springe

Conservation Agriculture as Practised in Ghana

This case study presents the status of conservation agriculture in Ghana. It is one in a series of eight case studies about conservation agriculture in Africa, which were developed within the framework of a collaboration between CIRAD (French Agricultural Research Centre for International Development), FAO (Food and Agriculture Organization of the United Nations), RELMA-in-ICRAF (Regional Land Management Unit of the World Agroforestry Centre) and ACT (African Conservation Tillage Network)

Rice research, technological progress, and impacts on the poor: the Bangladesh case (summary report)

"This case study builds on an ongoing large-scale quantitative research project undertaken by BIDS/IRRI since 1987 originally in 64 unions from 57 districts of the country. It adds a qualitative research component to examine the impact of modern rice varieties (MVs) on livelihoods in a structured sample of eight of these villages across a range of favorable and unfavorable contexts..... The quantitative research shows that for households with access to land there have been direct adoption impacts in the form of increased yields and higher profits. However, since rice now only represents around 20 percent of most households' overall income, nonagricultural income is found to have gained dramatically in importance for rural households. While the profitability has declined over time, rice contributes to improved food security and provides a “springboard” for both rich and poor farm households moving into nonfarm income generation and employment... The qualitative research component generally confirmed these general findings, highlighting other factors such as the improved status associated with fixed-rent tenancy and “contract” labor arrangements. The qualitative research also shows negative adoption impacts such as shrinking common property resources (wild fish, vegetables, etc., and declining soil fertility, both of which may increase the long-term vulnerability of the poor. It also throws light on the processes of technology dissemination.... It was found that the linking of qualitative and quantitative research methodologies was useful in (a) generating complementary data of different kinds on similar issues and (b) generating new data missed within a purely quantitative approach. The sustainable livelihoods framework was a useful, flexible tool for structuring the qualitative data collection and analysis. However, the research study as a whole was limited by the fact that the qualitative component was “bolted onto” a quantitative study already underway. Therefore the framework, and the various data collection methodologies, were not systematically integrated across both components of the study. In conclusion, future agricultural research on rice may need to further address the question of MV adoption potential on risk-prone lands, the relevance of existing technology dissemination systems, the relationship between MV adoption and crop diversification, and the challenges of more sustainable crop management techniques." Authors' AbstractRice Bangladesh,

Kinetic Monte Carlo simulations inspired by epitaxial graphene growth

Graphene, a flat monolayer of carbon atoms packed tightly into a two dimensional hexagonal lattice, has unusual electronic properties which have many promising nanoelectronic applications. Recent Low Energy Electron Microscopy (LEEM) experiments show that the step edge velocity of epitaxially grown 2D graphene islands on Ru(0001) varies with the fifth power of the supersaturation of carbon adatoms. This suggests that graphene islands grow by the addition of clusters of five atoms rather than by the usual mechanism of single adatom attachment. We have carried out Kinetic Monte Carlo (KMC) simulations in order to further investigate the general scenario of epitaxial growth by the attachment of mobile clusters of atoms. We did not seek to directly replicate the Gr/Ru(0001) system but instead considered a model involving mobile tetramers of atoms on a square lattice. Our results show that the energy barrier for tetramer break up and the number of tetramers that must collide in order to nucleate an immobile island are the important parameters for determining whether, as in the Gr/Ru(0001) system, the adatom density at the onset of island nucleation is an increasing function of temperature. A relatively large energy barrier for adatom attachment to islands is required in order for our model to produce an equilibrium adatom density that is a large fraction of the nucleation density. A large energy barrier for tetramer attachment to islands is also needed for the island density to dramatically decrease with increasing temperature. We show that islands grow with a velocity that varies with the fourth power of the supersaturation of adatoms when tetramer attachment is the dominant process for island growth

Report of the 2004 Workshop on In Situ Iron Enrichment Experiments in the Eastern and Western Subarctic Pacific

Foreword 1. BACKGROUND AND OBJECTIVES (pdf, 0.1 Mb) 2. 2004 WORKSHOP SUMMARY (pdf, < 0.1 Mb) 2.1. What have we learned from the enrichment experiments? 2.2 What are the outstanding questions? 2.3 Recommendations for SEEDS-II 3. EXTENDED ABSTRACTS OF THE 2004 WORKSHOP 3.1 Synthesis of the Iron Enrichment Experiments: SEEDS and SERIES (pdf, 0.5 Mb) Iron fertilization experiment in the western subarctic Pacific (SEEDS) by Atsushi Tsuda The response of N and Si to iron enrichment in the Northeast Pacific Ocean: Results from SERIES by David Timothy, C.S. Wong, Yukihiro Nojiri, Frank A. Whitney, W. Keith Johnson and Janet Barwell-Clarke 3.2 Biological and Physiological Responses (pdf, 0.2 Mb) Zooplankton responses during SEEDS by Hiroaki Saito Phytoplankton community response to iron and temperature gradient in the NW and NE subarctic Pacific Ocean by Isao Kudo, Yoshifumi Noiri, Jun Nishioka, Hiroshi Kiyosawa and Atsushi Tsuda SERIES: Copepod grazing on diatoms by Frank A. Whitney, Moira Galbraith, Janet Barwell-Clarke and Akash Sastri The Southern Ocean Iron Enrichment Experiment: The nitrogen uptake response by William P. Cochlan and Raphael M. Kudela 3.3 Biogeochemical Responses (pdf, 0.5 Mb) What have we learned regarding iron biogeochemistry from iron enrichment experiments? by Jun Nishioka, Shigenobu Takeda and W. Keith Johnson Iron dynamics and temporal changes of iron speciation in SERIES by W. Keith Johnson, C.S. Wong, Nes Sutherland and Jun Nishioka Dissolved organic matter dynamics during SEEDS and SERIES experiments by Takeshi Yoshimura and Hiroshi Ogawa Formation of transparent exopolymer particles during the in-situ iron enrichment experiment in the western subarctic Pacific (SEEDS) by Shigenobu Takeda, Neelam Ramaiah, Ken Furuya and Takeshi Yoshimura Atmospheric measurement by Mitsuo Uematsu 3.4 Prediction from Models (pdf, 0.3 Mb) Modelling iron limitation in the North Pacific by Kenneth L. Denman and M. Angelica Peña A proposed model of the SERIES iron fertilization patch by Debby Ianson, Christoph Voelker and Kenneth L. Denman 4. LIST OF PARTICIPANTS FOR THE 2004 WORKSHOP (pdf, < 0.1 Mb) APPENDIX 1 Report of the 2000 Planning Workshop on Designing the Iron Fertilization Experiment in the Subarctic Pacific (pdf, 1 Mb) APPENDIX 2 Terms of Reference for the Advisory Panel on Iron fertilization experiment in the subarctic Pacific Ocean (pdf, < 0.1 Mb) APPENDIX 3 Historical List of Advisory Panel Members on Iron fertilization experiment in the subarctic Pacific Ocean (pdf, < 0.1 Mb) APPENDIX 4 IFEP-AP Annual Reports (pdf, 0.1 Mb) APPENDIX 5 PICES Press Articles (pdf, 0.6 Mb) (194 page document

Modelling the Socio-Economic Benefits of the Adoption of Climate Information: An Innovative Approach to Subsistence Farmer Adaptation to Climate Change in Garu-Tempane District, Ghana

Decreasing average crop yield resulting mainly from variability and changes in climatic conditions continues to worsen food insecurity and the already low incomes of subsistence farmers in the Garu-Tempane District, Ghana. These devastating impacts on the livelihoods of subsistence farmers persist in part due to the continuous reliance on indigenous climate information and cultivation of indigenous seed with a share of land of about 81%. Garu-Tempane is located within the savannah sahel vegetation zone ― a region very vulnerable to climate variability and changes. With about 70% of the district’s population engaged actively in crop farming, changes in climatic conditions has been an undesirable phenomenon to deal with among farmers. Climate-smart seed and scientific climate information has the potential to reduce the impacts of climate change. However, adoption rates in the district are low ― about 19% farm land coverage. It is thus exigent to investigate the reasons for the low adoption rate. Even though much is reported in literature on the low adoption rate of climate information and climate-smart seed among farmers, little is known about the hindrances to adoption. With a system dynamics simulation model, this research explains the reference behaviour and identifies policy options for effective adaptation to climate change by subsistence farmers in the district. Anchored on adoption and diffusion of agriculture technology modelling, the research brings to light, the impact of climate information on crop yield and incomes of subsistence farmers in the district, the factors that affect adoption and how these can be addressed to enable farmers to turn the challenges of climate change into opportunities. A rigorous approach of data collection and triangulation from participatory learning with communities, focus groups, interviews with climate information service providers and secondary data are the basis upon which conclusions are drawn. Identified in this study, main factors that affect the adoption of both climate information and climate smart-seed include: trust in climate-smart seed and scientific climate information, knowledge in the cultivation of climate-smart seed and input cost. Trust in the climate-smart seed is necessary to speed up further adoption towards the transition from the indigenous seed trajectory to climate-smart seed. Equally important is knowledge, comprising most importantly climate information (onset and cessation of rainfall and extreme weather events) and existing farm management practise as well as learning from extension services to meet the variability and changes in climatic conditions. According to the study, what farmers need is reliable farmer specific weather/climate forecast. It is indispensable in the knowledge upgrading process to make available climate information/seasonal forecast with in-season updates and climate resilient seed to enable farmers to make informed decisions to increase harvest. Most important is the affordability of input costs especially of fertilizer cost because maize does well when fertilizer is applied to it. Farmer household income levels determines the affordability of climate information and seed. And adoption of scientific climate information and appropriate advisories (climate-smart seed) is a necessary condition for a transition from subsistence agriculture to commercial farming and to make these affordable. Proposed policy options from the simulation model include subsidising fertilizer prices further for example by 50% to increase adoption of climate-smart seed and information in the short run. This will help increase and stabilise incomes to enable farmers to pay the actual cost of fertilizer. Constructing climate information centres (designed with loud speakers) will help disseminate climate information/seasonal forecast to a number of communities at a time to reduce cost of individual subscription to climate information service providers. These centres could also serve as platforms for marketing farm produce. Instituting radio programmes would create a platform for farmers to share best practises to increase knowledge of other farmers as well as farmer field schools and demonstration farms. These would shorten trust adjustment in climate-smart seed and information and increase knowledge significantly within a short period of time for increased adoption.Master's Thesis in System DynamicsGEO-SD35