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Slidepack for TEAM-Kenya model

The Kenya Transport-Energy Futures (KTEF) project aims to develop decision support tools to assist policymakers at county, national and international scales in testing out credible futures of the transport-energy system given different policy and scenario pathways. The future of the transport system, and that of the wider energy system in which it is enveloped, will determine Kenya’s ability to meet its targets in economic development [1] and climate mitigation [2]. These transport-energy futures are outcomes of a complex web of systems; they are driven by policy in the transport-energy sector and across the wider economy, and wider changes in society that cannot directly be controlled (including socio-economic changes, such as changes in a population’s age distribution, and broader shifts in travel demand, such as a population’s propensity for leisure travel). In developing decision support tools, a strategic transport-energy systems model, the Transport Energy Air pollution Model (TEAM) [3], has been adapted to the Kenyan case from the UK case in which it was originally developed. [1] Government of Kenya, “Vision 2030,” 2008. https://vision2030.go.ke/ [2] Government of Kenya, “Updated NDC,” 2021. https://unfccc.int/sites/default/files/NDC/2022-06/Kenya%27s First NDC %28updated version%29.pdf [3] C. Brand, J. Anable, and C. Morton, “Transport Energy and Air pollution Model (TEAM),” 2019. https://ukerc.ac.uk/project/team-model/ (accessed Feb. 04, 2022).

Data requirements for TEAM-Kenya

Data requirements for TEAM-Kenya

Deep and drastic cuts of greenhouse gas emissions are urgently needed from all sectors of the global economy to avoid irreversible climate and ecological breakdown. The majority of transport decarbonization pathways rely on two parallel activities: (i) the electrification of the majority of modes of surface transport, including road and rail, andeven short-distance shipping and aviation; and (ii) significant growth in renewable electricity generation. Making this work effectively will require the interaction of two previously siloed sectors: electricity and transport. This working paper explores how relevant stakeholders can support enabling environments for the integration of e-mobility and renewable energy in the Southeast Asian context, based on analyzed interviews with staff of energy and transport secretariats of the Asian Development Bank and United Nations Environment Programme.

This project investigates the coordinative capabilities of coupled electrical dissipative structures. The study of coordination among non-living dissipative structures promises to inform coordination among living systems

Gun-related injuries and fatalities due to violence and suicide disproportionately impact two distinct groups: (1) African American boys and young men and (2) White American men. Current approaches to prevent gun injury are limited in their ability to reach those at highest risk, which may be due to the cultural disconnect between gun injury prevention strategies and the populations at greatest risk for violence and suicide. Bridging the cultural disconnect requires a deep understanding of social-ecological factors that underlie gun-related attitudes, behaviors, and practices. The primary aim of this project is to harness participatory action research to develop a cross-cutting, culturally grounded social-ecological model that describes factors underlying risky gun-related attitudes, behaviors, and practices, and to identify the acceptability of specific approaches to prevention. This mixed methods project has two specific aims. Aim 1 is to identify (a) methods of gun access or acquisition, storage, and carrying; (b) motivations for gun access, ownership, storage practices, use, and carrying; (c) attitudes about ownership, storage safety, use, and carrying; d) acceptability of gun-focused prevention strategies, including factors that might influence engagement in those strategies; and (e) ideas for novel prevention strategies. Aim 2 is to develop and validate a cross-cutting, social-ecological model in which individual, microsystemic, macrosystemic, and cultural factors predict gun-related attitudes, behaviors, and practices. This project consists of two phases. During Phase 1, we will conduct mixed methods research through in-depth interviews with 210 members of distinct populations at increased risk of urban gun violence or suicide. During Phase 2, we will quantitatively test the social-ecological model developed in Phase 1 by surveying (a) a local sample of 1200 youth in urban and rural contexts; and (b) a nationally representative sample of 2000 adults. The expected outcomes for this project are (1) a description of the scope of gun-related attitudes, behaviors, and practices among populations at greater risk for gun-related injury; (2) the identification of a range of novel risk and protective social-ecological factors associated with gun-related behaviors; and (3) an empirically validated, cross-cutting social-ecological model that explains gun-related attitudes, behaviors, and practices that place individuals at risk for gun-related injury. The proposed study is innovative in that integrates violence and suicide prevention research and uses a mixed methods participatory action research approach to bridge the divide between researchers and populations most at risk of intentional gun injuries. The results of this work will advance prevention science by creating a culturally grounded, social-ecological model that can guide research on risk and protective factors for intentional gun-related injuries and that will inform the development of ecologically valid, public health interventions. Ultimately, maximizing the reach of gun-related injury public health interventions is expected to reduce fatalities caused by violence and suicide.

New electricity demand from e-mobility can incentivize investment in new clean generation and grid infrastructure, thus improving power system services. As electric vehicle charging is flexible, this demand can be shifted to follow supply from low-cost variable renewables, like wind and solar. In this working paper, we identify nine key barriers to effective e-mobility/ renewable energy integration, which revolve around upfront cost, locked-in governance and technology uptake. We present a framework of enablers for effective e-mobility and renewable energy integration. The framework divides enablers into four categories and subdivides them into ten subcategories. We identify enablers according to this framework, which will be used as a base from which to develop practical solutions in the Asia-Pacific context. Through presentation of a case study, we demonstrate how these enablers can make ‘win-win’ solutions in e-mobility and renewable energy integration a reality in making tangible contributions to Asia-Pacific countries’ decarbonization pathways while increasing access to mobility and electricity., {"references":["K. A. Collett, S. A. Hirmer, H. Dalkmann, C. Crozier, Y. Mulugetta, and M. D. Mcculloch, \"Can electric vehicles be good for Sub- Saharan Africa?,\" Energy Strateg. Rev., vol. 38, 2021, doi: 10.1016/j.esr.2021.100722","J. Lukuyu, A. Muhebwa, and J. Taneja, \"Fish and Chips: Converting Fishing Boats for Electric Mobility to Serve as Minigrid Anchor Loads,\" in e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems, 2020, vol. 20, pp. 208–219, doi: 10.1145/3396851.3397687","K. A. Collett and S. A. Hirmer, \"Data needed to decarbonize paratransit in Sub-Saharan Africa,\" Nat. 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Pujiyanto, \"Sustainable supply chain planning for swap battery system: Case study electric motorcycle applications in Indonesia,\" IOP Conf. Ser. Mater. Sci. Eng., vol. 495, no. 1, 2019, doi: 10.1088/1757- 899X/495/1/012081","Energy Asia, \"Gogoro Battery Swapping Revolution in Taiwan – How It Happened.\" 2021. [Online]. Available: https://energy. asia/gogoro-batteryswapping- revolution-intaiwan- how-it-happened/. [Accessed: 17-Nov-2021]","H. Ting-ting and L. Hsin-Yin, \"Gogoro, Taipower partner up on bidirectional charging system,\" Focus Taiwan, 2021. [Online]. Available: https://focustaiwan. tw/business/202110260018. [Accessed: 11-Nov-2021]","Cenex, \"Commercial Viability of V2G: Project Sciurus White Paper,\" 2021. [Online]. Available: https://www.cenex.co.uk/ app/uploads/2021/01/V2GCommercial- Viability-1.pdf. [Accessed: 17-Nov-2021]","A. Jhaveri, \"Hero and Gogoro form JV for electric vehicles in India,\" TechRadar, 2021. [Online]. 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The brain-as-computer metaphor has anchored the professed computational nature of the mind, wresting it down from the intangible logic of Platonic philosophy to a material basis for empirical science. However, as with many long-lasting metaphors in science, the computer metaphor has been explored and stretched long enough to reveal its boundaries. These boundaries highlight widening gaps in our understanding of the brain's role in an organism's goal-directed, intelligent behaviors and thoughts. In search of a more appropriate metaphor that reflects the potentially noncomputable functions of mind and brain, eight author groups answer the following questions: (1) What do we understand by the computer metaphor of the brain and cognition? (2) What are some of the limitations of this computer metaphor? (3) What metaphor should replace the computational metaphor? (4) What findings support alternative metaphors? Despite agreeing about feeling the strain of the strictures of computer metaphors, the authors suggest an exciting diversity of possible metaphoric options for future research into the mind and brain., Comment: 157 pages, 19 figures

We present a polynomial time reduction from the multi-graph isomorphism problem to the problem of code equivalence of additive codes over finite extensions of ${\mathbb F}_2$.

Supplemental material, sj-pdf-1-msx-10.1177_10298649211025491 for Recovery from memory failure when recalling a memorized performance: The role of musical structure and performance cues by Roger Chaffin, Jane Ginsborg, James Dixon and Alexander P. Demos in Musicae Scientiae

Supplemental material, sj-pdf-1-msx-10.1177_10298649211025491 for Recovery from memory failure when recalling a memorized performance: The role of musical structure and performance cues by Roger Chaffin, Jane Ginsborg, James Dixon and Alexander P. Demos in Musicae Scientiae

Floating wind foundations could unlock offshore wind power generation in deeper and more remote waters. This report examines how quickly floating wind is progressing towards becoming a key contributor to the global electricity supply mix. It contains a special focus on developments in the UK and Scotland, uncovering challenges that could undermine the growth of floating wind, as well as policy recommendations to overcome these. The floating wind market is growing steadily, expanding from almost zero installed capacity in 2008 to 57 MW in 2018. Looking forward, there is an impressive pipeline of projects for future deployment. By 2030, global capacity of floating wind could be as high as 4.3 GW. Deployment of installed capacity has to date been dominated by the UK and Japan, and the vast majority of these foundations have been designed and developed by companies in Norway and Japan. New entrants, most notably the USA and France, are expected to challenge for leadership in both deployment and design. Whilst SMEs have played a central role in driving growth in the sector, multi-national energy firms are investing heavily in floating wind deployment and design. These include: (1) oil and gas majors; (2) energy utilities; and (3) Original Equipment Manufacturers (OEMs). Floating wind rated turbine capacity more than tripled and hub height almost doubled between 2008–13 and 2013–18. However, the majority of projects remain single-turbine demonstration projects, with just one array deployed. During the same period, the projects’ distance from shore has doubled to average 11km but their depth has increased by just 7%. However, at an average depth of 65m, projects are operating in waters deeper than most bottom-fixed foundations are economically capable of. The UK is the world leader in floating wind deployment, with 56% of global capacity. Retaining this future lead will, however, be likely to depend on it retaining an open trading relationship with the EU, a relationship that it has depended on heavily to deliver its two existing floating wind projects. Taking opportunities to grow the UK content of the offshore wind supply chain may help to mitigate some disruption post-Brexit. The removal of the UK’s Renewables Obligation (RO) has created a gap for long-term support of small-scale pre-commercial floating wind projects. Domestic support will become even more important, should the UK lose access to European technology demonstration funding post-Brexit.

Research on co-speech gestures has shown that gesture-speech synchrony is stable when hand movement or speech is disrupted by a delayed feedback manipulation, suggesting strong bidirectional feedback between gesture and speech. Yet, it has also been argued from case studies in perceptuo-motor pathology, that hand gestures are a special kind of action that do not require closed-loop control mechanisms (e.g., efferent feedback) to function properly in synchrony with speech. In the current pilot study utilizing motion-tracking methods, we reassessed gesture-speech synchrony under conditions of delayed auditory feedback (DAF; 130-150 ms delay) leading to speech disruption. The pilot study indicated that gesture-speech synchrony was indeed stable under DAF, even to a higher degree than the control condition. We also find a promising indication that gesture-speech dynamics does entrain to the external auditory delay as indicated by a consistent shift in gesture-speech synchrony offsets. This pilot study forms the basis for the current pre-registration of a larger-scale study.

Spontaneously occurring speech is often seamlessly accompanied by hand gestures. Detailed observations of video data suggest that speech and gesture are tightly synchronized in time, consistent with a dynamic interplay between body and mind. However, spontaneous gesture-speech synchrony has rarely been objectively quantified beyond analyses of video data, which do not allow for identification of kinematic properties of gestures. Consequently, the point in gesture which is held to couple with speech, the so-called moment of “maximum effort”, has been variably equated with the peak velocity, peak acceleration, peak deceleration, or the onset of the gesture. In the current pre-registered report, we provide novel evidence from motion-tracking and acoustic data that peak velocity is closely aligned, and shortly leads, the peak pitch (F0) of speech. We further propose to reproduce key findings with a large-scale quantification of gesture-speech synchrony in a to-be-collected open dataset (N = 50).

In 2010, South Davis Sewer District (SDSD) determined that possible hydraulic problems existed in their various pump stations operating within their treatment plants. A hydraulic analysis was conducted for the pump stations to diagnose the problems and provide possible alternative solutions. This analysis was conducted by using hydraulic minor loss equations to determine the amount of flow that the pumps were capable of producing and then comparing those results to the required demands in the plants. In cases where the flows were lower than needed, alternatives were designed to provide the required flows. In the south plant the pumps were capable of meeting the hydraulic needs of the plant. However, in the north plant, the pump stations were far under capacity and alternative designs were provided. It was recommended that the first pump station add a fifth pump in order to generate the extra capacity needed while the second station would have their pumps replaced with new pumps capable of providing a slightly larger flow capacity. It was also recommended that SDSD review other areas of treatments and hydraulics that may have been causing additional problems.

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An encoding/decoding apparatus and method using a low-density parity-check code (LDPC code) is disclosed. Basic column group information, serving as a set of information regarding positions of rows with weight 1, is extracted from a reference column in each column group of a predetermined parity-check matrix. Column group information transforms the positions of rows with weight 1 into positions whose lengths are within a required parity length. A parity-check matrix is generated according to the generated column group information. Data is encoded or decoded based on the generated parity-check matrix.

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