Relevant bibliographies by topics / Go-explore

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Go-explore'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Go-explore"

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JCE staff. "Explore the Hidden JCE—Go Online!" Journal of Chemical Education 85, no. 1 (January 2008): 27. http://dx.doi.org/10.1021/ed085p27.

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Jia, Guopeng, Junzhou Huo, Fan Yang, and Bowen Yang. "Latent go-explore with area as unit." Information Processing & Management 61, no. 2 (March 2024): 103582. http://dx.doi.org/10.1016/j.ipm.2023.103582.

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Benedetti, Viola, Gioele Gavazzi, Fabio Giovannelli, Riccardo Bravi, Fiorenza Giganti, Diego Minciacchi, Mario Mascalchi, Massimo Cincotta, and Maria Pia Viggiano. "Mouse Tracking to Explore Motor Inhibition Processes in Go/No-Go and Stop Signal Tasks." Brain Sciences 10, no. 7 (July 20, 2020): 464. http://dx.doi.org/10.3390/brainsci10070464.

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Response inhibition relies on both proactive and reactive mechanisms that exert a synergic control on goal-directed actions. It is typically evaluated by the go/no-go (GNG) and the stop signal task (SST) with response recording based on the key-press method. However, the analysis of discrete variables (i.e., present or absent responses) registered by key-press could be insufficient to capture dynamic aspects of inhibitory control. Trying to overcome this limitation, in the present study we used a mouse tracking procedure to characterize movement profiles related to proactive and reactive inhibition. A total of fifty-three participants performed a cued GNG and an SST. The cued GNG mainly involves proactive control whereas the reactive component is mainly engaged in the SST. We evaluated the velocity profile from mouse trajectories both for responses obtained in the Go conditions and for inhibitory failures. Movements were classified as one-shot when no corrections were observed. Multi-peaked velocity profiles were classified as non-one-shot. A higher proportion of one-shot movements was found in the SST compared to the cued GNG when subjects failed to inhibit responses. This result suggests that proactive control may be responsible for unsmooth profiles in inhibition failures, supporting a differentiation between these tasks.
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Wagner, Florian. "GO-PCA: An Unsupervised Method to Explore Gene Expression Data Using Prior Knowledge." PLOS ONE 10, no. 11 (November 17, 2015): e0143196. http://dx.doi.org/10.1371/journal.pone.0143196.

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Liu, Muchen. "Integrating Multi-Agent Deep Deterministic Policy Gradient and Go-Explore for Enhanced Reward Optimization." Highlights in Science, Engineering and Technology 85 (March 13, 2024): 403–10. http://dx.doi.org/10.54097/znrt8d63.

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The field of Multi-Agent Reinforcement Learning (MARL) continues to advance with the development of new and effective methods. This research is centered on two prominent approaches within this field: Multi-Agent Deep Deterministic Policy Gradient (MADDPG) and Go-Explore. The study explores the synergistic potential of combining these two methodologies to enhance rewards for individual agents as well as for agent groups. In the course of this research, MADDPG is introduced into the experimental environment, providing agents with both actor networks (policy networks) and critic networks (Q networks) to implement the actor-critic model. Additionally, each individual agent is equipped with a Go-Explore network, empowering them to conduct deeper explorations of the environment and accumulate rewards at an accelerated rate, often resulting in higher overall rewards. This novel approach emphasizes achieving a balance between individual and collaborative rewards, offering a promising avenue for optimizing multi-agent systems. The results of this study demonstrate that the combined method exhibits notable advantages in certain scenarios. Specifically, it showcases a higher rate of reward accumulation and improved overall performance. This research contributes to the MARL domain by highlighting the potential of combining MADDPG and Go-Explore to enhance the efficiency and effectiveness of multi-agent systems.
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de, Fariasa, and Claudio Airoldib. "Hexamethylenetetramine reaction with graphite oxide (GO) as a strategy to increase the thermal stability of GO: Synthesis and characterization of a compound." Journal of the Serbian Chemical Society 75, no. 4 (2010): 497–504. http://dx.doi.org/10.2298/jsc090717018d.

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In this paper, the synthesis and characterization of a GO-hmta compound (GO = graphite oxide; hmta = hexamethylenetetramine) are presented. It is shown that the presence of hmta molecules inside the GO matrix, with very strong interactions, stabilize the GO matrix from a thermal point of view. Such a fact could be used to explore possible applications of GO matrix, especially in catalysis.
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Parent, Lucie. "A helical segment makes potassium channels go-go." Journal of Biological Chemistry 292, no. 18 (May 5, 2017): 7706–7. http://dx.doi.org/10.1074/jbc.h117.779298.

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More than 500 variants in the KCNH2 gene, which encodes the cardiac human ether-a-go-go (hERG) ion channel, have been associated with sudden cardiac death, but only a subset of these variants have been investigated. Matthew D. Perry and colleagues now combine NMR spectroscopy and electrophysiological experiments to explore the functional properties of mutations within an overlooked hERG helix, finding important contributions to channel function.
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Aranda, K., S. de Goeas, S. Davies, M. Radcliffe, and A. Christoforou. "Let's go outside: using photography to explore values and culture in mental health nursing." Journal of Psychiatric and Mental Health Nursing 22, no. 5 (March 9, 2015): 306–15. http://dx.doi.org/10.1111/jpm.12201.

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Cox, Cody B. "Miles to Go: Continuing to Explore the Effects of Stereotype Threat on Older Trainees." Industrial and Organizational Psychology 7, no. 3 (September 2014): 466–68. http://dx.doi.org/10.1111/iops.12182.

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Chen, Zheyu, Huiyan Niu, Jiayin Li, Yang Zhang, Zhiyuan Zhang, Haotong Chen, and Li Li. "Superamphiphobic coatings based on graphene oxide with abrasion resistant property by a simple method." Journal of Physics: Conference Series 2383, no. 1 (December 1, 2022): 012138. http://dx.doi.org/10.1088/1742-6596/2383/1/012138.

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Due to the excellent physiochemical properties of graphene oxide (GO), the fabrication of superamphiphobic coatings based on GO can explore the application fields of GO. Herein, superamphiphobic GO coatings are fabricated by simple dip coating GO and organosilane polymer (GO-FAS) dispersion on the cotton fabric, with GO acting as solid lubricant originating from its low friction coefficient. Through compound with PS/PTFE and PVDF-HFP/FAS, the PVDF-HFP/FAS/GO-FAS coating exhibit enhanced anti-abrasion property and can withstand 200 cycles of sandpaper abrasion. This study provides an opportunity for the applications of graphene oxide as superamphiphobic materials.
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Dissertations / Theses on the topic "Go-explore"

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Matheron, Guillaume. "Integrating motion planning into reinforcement learning to solve hard exploration problems." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS348.

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Dans cette thèse, nous étudions les façons dont des techniques inspirées de la planification de mouvement peuvent accélérer la résolution de problèmes d'exploration difficile pour l'apprentissage par renforcement, sans sacrifier la généralisation ni les avantages de l'apprentissage sans modèle. Nous identifions une impasse qui peut advenir lors qu'on applique l'apprentissage par renforcement à des problèmes apparemment triviaux mais qui ont une récompense éparse. De plus, nous contribuons un algorithme d'exploration inspiré de la planification de mouvement mais conçu spécifiquement pour des environnements d'apprentissage, ainsi qu'un cadre pour utiliser les données collectées pour entraîner un algorithme d'apprentissage par renforcement dans des scénarios auparavant trop complexes
Motion planning is able to solve robotics problems much quicker than any reinforcement learning algorithm by efficiently searching for a viable trajectory. Indeed, while the main object of interest in the field of Reinforcement Learning is the behavior of an agent, Motion Planning is concerned with the geometry and properties of the state-space, and uses a different set of primitives to achieve more efficient exploration. Some of these primitives require a model of the system and are not studied in this work, others such as reset-anywhere are only available in simulated environments. In contrast, Motion Planning approaches do not benefit from the same generalization properties as the policies produced by reinforcement learning. In this thesis, we study the ways in which techniques inspired from motion planning can speed up the solving of hard exploration problems for reinforcement learning without sacrificing the advantages of model-free learning and generalization. We identify a deadlock that can occur when applying reinforcement learning to seemingly-trivial sparse-reward problems, and contribute an exploration algorithm inspired by motion planning but specifically designed for reinforcement learning environments, as well as a framework to use the collected data to train a reinforcement learning algorithm in previously-intractable scenarios
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Weng, Pei-Wei, and 翁培瑋. "Using Expectation-Confirmation Theory Model to Explore the Continuance Usage Intention of Pokémon GO." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/fux2y7.

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碩士
淡江大學
資訊管理學系碩士在職專班
106
Abstract Pokémon GO was released on iOS and Android platforms in July 2016. This mobile game provides players to catch, battle, train, and deal virtual creatures “Pokémon” in the real-world locations. Unfortunately, the population of worldwide daily active players kept decreasing after collecting all the first generation of Pokémon. However, Pokémon GO was added the second generation of Pokémon in February 2017. The aim was to increase players’ continuance usage intention by enriching the game. The study was conducted by surveys, say total 154 pieces of valid questionnaires. The objects are the users of Pokémon GO. And the surveys were included not only the confirmation and satisfaction of Expectation-Confirmation Theory Model to find out their influence on continuance usage. Also the perceived playfulness, perceived competition, and the perceived usefulness of Technology acceptance model to find out their behavior of continuance usage. The study was trying to understand the main factor for continuance usage from the analysis results. The results of the study indicated that “confirmation” is a significant positive effect on “satisfaction”, “perceived playfulness”, and “perceived usefulness”; and “satisfaction” and “perceived playfulness” are significant positive effects on “continuance usage intention”; also “perceived playfulness” is a significant positive effect on “satisfaction”; then “perceived competition” is a significant positive effect on “perceived playfulness”; lastly, “perceived usefulness” is not a significant effect on “continuance usage intention”. The phenomenon that the perceived usefulness effect weakly on continuance usage intention for Pokémon GO revealed that there’re playfulness and satisfaction much more than usefulness when using Pokémon GO. The theoretical contribution of this study is to provide understanding of the factors that affect the use of Pokémon GO. It was also found that there’s a management meaning. The platform manager of Pokémon GO can increase users’ continuance usage intention by taking advantage of different factors. And based on different groups’ characters, the management level can release the interesting items for them or provide more inspects of services. For example, designing a function with social entertainment allow users to interaction by online chatting while playing the game; and raising users’ behavior intention by abundant contents.
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Lai, Yan-Rong, and 賴彥蓉. "Using Social Media Analytics to Explore User Comments’ Topics: A Case Study of Pokémon GO." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v8w77e.

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碩士
國立中興大學
科技管理研究所
106
The flourish of Internet leads to the rise of social media. Nowadays, social media plays an important role in business, because companies can obtain the critical information from user-generated content in social media. Therefore, social media analytics becomes a hot research area. However, while the user-generated content in social media has been extensively investigated, the official posts is relatively unexplored. Also, the integration of sentiment analysis and hot/cold topic analysis has not been applied in social media yet. Thus, this research scrawls 247 posts and 450,000 comments from the Facebook fan page of augmented reality game - Pokémon GO. Latent Dirichlet Allocation (LDA), an unsupervised machine learning method, is used to analyze key topics of official posts and user comments, respectively. Further, sentiment analysis and hot/cold topic analysis are applied to understand the trend of topics and the user’s emotional attitude toward the topics. The research results reveal that the topics, such as the location allocation problem, mobile device and compatibility issues, dressing function and storage space in games, are not found in official posts, but in user comments. In addition, the hot topic analysis is used to find that users put more focus on the topics such as the compensation of activities omission, request for the battle system improvement, and the login problem. Finally, the sentiment score is calculated for each topic and then integrate the results of hot/cold topic analysis and sentiment analysis. The results show that the topics, such as the compensation of activities omission, request for new battle mode, and the dysfunction of radar, are the most important issues which need to be improved. The research findings can also be used for improving other augmented reality games.
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Books on the topic "Go-explore"

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Phonics reading program: Let's go and explore! New York: Scholastic Inc., 2007.

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Deborah, Kaufman, Stallings Douglas, and Fodor's Travel Publications Inc, eds. Fodor's Eastern and Central Europe: The guide for all budgets -- completely updated -- where to stay, eat, and explore -- on and off the beaten path -- when to go, what to pack -- maps, travel tips, and web sites. 2nd ed. New York: Fodor's, 2003.

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Lets Explore: Make It Go. Ramboro Books PLC, 1998.

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Britain Map: Let's Go and Explore. British Tourist Authority, 2005.

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Evans, David. Make it go (Let's explore science). Dorling Kindersley, 1993.

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Make It Go (Let's Explore Science). Dorling Kindersley Publishers Ltd, 1992.

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Make It Go (Let's Explore Science). Scholastic, 1992.

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Evans, Doris. Let's Explore the Desert Family Go Guide! (Family Go Guide) (Family Go Guide). Arizona-Sonora Desert Museum Pr, 2001.

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Staff, Explore Australia. Go Explore Brisbane: Themed Walks and Adventures. Hardie Grant Publishing, 2011.

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Guney, Tarik. Hands-On Go Programming: Explore Go by solving real-world challenges. Packt Publishing, 2018.

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Book chapters on the topic "Go-explore"

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Lu, Junlin, Patrick Mannion, and Karl Mason. "Go-Explore for Residential Energy Management." In Communications in Computer and Information Science, 133–39. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-50485-3_11.

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Mandali, Alekhya, S. Akila Parvathy Dharshini, and V. Srinivasa Chakravarthy. "Go-Explore-NoGo (GEN) Paradigm in Decision Making—A Multimodel Approach." In Computational Neuroscience Models of the Basal Ganglia, 153–66. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8494-2_9.

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Klopfenstein, Lorenz Cuno, and Matteo Di Lorenzi. "Go to Chapter X to Explore Interactive Narrative on Smart Assistants." In Chatbot Research and Design, 145–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68288-0_10.

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Zhang, Chenyang. "Some Basic Concepts and Systems." In Win in Chinese Courts, 1–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3342-6_1.

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AbstractBefore we start to explore specific aspects and procedures of civil litigation in China, it is necessary to look through some basic concepts and systems under the Chinese law first. This chapter will cover such aspects as China’s 4-level court system, how many instances will a civil case go through, how cases are numbered and what information does the case number reveal, what is cause of action and its functions, how much court fee do the parties need to pay, and an overview of the whole process of civil litigation in China. At last, a brief introduction to Chinese lawyers’ role and function is presented as well. We hope this chapter could help readers build a framework of China’s civil litigation system and go through other sections of this book more efficiently.
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Akkermans, Hans. "The Social Responsibilities of Scientists and Technologists in the Digital Age." In Introduction to Digital Humanism, 65–81. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45304-5_5.

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AbstractWhat responsibilities do digital scientists and professionals have in serving society and the public, beyond doing “purely” “fundamental” scientific, technological, or academic inquiry alone? Now that “the digital” has become pervasive in society, even in normal people’s lives, these are pressing questions that call for answers. They go beyond individual ethical considerations or professional codes of conduct, as society-systemic aspects heavily come into play. We explore some of the complex historical and contemporary relationships between technology and society as a way to formulate useful insights for digital ethics and governance of digital technologies today.
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Griffith, Aaron M., and Arash Naraghi. "Randomness and Providence: Defining the Problem(s)." In Abrahamic Reflections on Randomness and Providence, 29–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-75797-7_3.

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AbstractIn this chapter, we outline the various problems that ontological randomness is supposed to present to God’s providence, as understood by traditional monotheistic religions. We begin by defining various notions of randomness and identify putative examples. We then outline three conceptions of divine providence: Super Meticulous, Meticulous, and General Providence. We go on to articulate the problems that randomness is thought to pose for God’s providence, especially problems concerning God’s omnipotence, omniscience, and omnibenevolence. We explore how the different conceptions of God’s providence fare with respect to these problems and gesture toward some possible responses.
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Sydes, Michelle, and Rebecca Wickes. "The Land of the ‘Fair Go’? Mapping Income Inequality and Socioeconomic Segregation Across Melbourne Neighbourhoods." In The Urban Book Series, 229–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64569-4_12.

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AbstractDespite enduring political rhetoric that promotes Australia as ‘the lucky country’ and ‘the land of the fair go’, recent decades have seen a noticeable increase in levels of income inequality. This growing economic divide has driven housing prices up and left lower-income families unable to access the housing market in inner-city locations. In contrast to other countries, Australia’s socioeconomic segregation does not overlap with ethnic segregation. Australia’s highly regulated immigration program has resulted in a relatively well-educated and employable foreign-born population who largely reside in middle-income neighbourhoods. These particularities make Australia an interesting context to explore patterns of socioeconomic segregation over time. In this chapter, we will utilise both traditional measures of segregation (such as the dissimilarity index) as well more spatialised measures (such as location quotients and Local Morans I) to assess socioeconomic segregation at the local level. Drawing on four waves of census data (2001, 2006, 2011 and 2016), we explore how socioeconomic segregation has changed over time across nearly 500 neighbourhoods in Melbourne. We further examine the degree to which socioeconomic segregation aligns with ethnic segregation patterns and levels in this city. We find patterns of socioeconomic segregation remain relatively unchanging over time in Melbourne. Additionally, our findings highlight important differences in patterns and levels of socioeconomic and ethnic segregation in the Australian context.
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Garnett, Emma, and Srishti Bhatnagar. "Figuring Out Exposure: Exploring Computational Environments and Personalisation in Interdisciplinary Air Pollution Research." In Figure, 197–219. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2476-7_10.

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AbstractAir pollution is often understood through a composition of different kinds of data that increasingly include personal exposure measurements. This chapter is based on our involvement in an interdisciplinary project in Delhi that is combining computational methods and embodied data to simultaneously map, know and respond to air pollution. We use the concept and method of figure, and specifically the figure of ‘the child with asthma’, to explore the tensions that emerge when participants are both objects (sensing bodies that measure air pollution) and subjects (knowing bodies that experience and respond to environmental exposures) of research. This dynamic relationship allows for different ways of figuring out exposure in public health, and thereby possibilities for approaching personalisation that go beyond individualised notions of risk and harm.
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Choe, Ja Young. "US tourists' food neophobia and their local food experiences in France and Italy." In Tourism marketing in Western Europe, 147–68. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789248753.0008.

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Abstract This study has three major objectives; the first is to explore whether tourists have different levels of food neophobia according to their sociodemographics; the second is to investigate if differences in tourists' local food consumption values exist among different food neophobia groups (FNGs); and the third is to examine whether differences in tourists' behavioural intention to go back to a destination for food tourism exist among different FNGs. This study expects that destination marketers, hospitality businesses and tour operators can achieve a competitive advantage by understanding the concept of food neophobia and its associations with tourists' sociodemographics and local food experiences in a destination. In particular, this study will focus on US tourists' local food perception experiences in France and Italy.
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Moore, Trivess, and Andréanne Doyon. "Current Housing Provision." In A Transition to Sustainable Housing, 31–60. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2760-9_2.

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AbstractIn this chapter, we explore current housing provision and outline how we have arrived at the current way of ‘doing’ housing, including the governing, financing, planning, designing, building, and habitation of housing. We start the chapter by discussing the market failures of housing and neo-classical market approaches that are not suitable for providing the type of sustainable housing required for achieving a low carbon future. To address this, the use of policy by government in many parts of the world has been a critical driver of housing design, quality, and performance. However, many sustainability advocates argue that these policies have been slow to improve and do not go far enough, given the current climate emergency and other housing issues seen around the world. We discuss some of these key policy mechanisms, including setting and improving minimum performance requirements in building codes, using planning systems to require additional sustainability standards, and developing financial and other alternative mechanisms. This discussion sets the context for later chapters where we explore the range of challenges facing the housing sector and discuss current best practice in sustainable housing and policy.
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Conference papers on the topic "Go-explore"

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Koren, Mark, and Mykel J. Kochenderfer. "Adaptive Stress Testing without Domain Heuristics using Go-Explore." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294729.

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Sheidlower, Isaac S., and Elaine Schaertl Short. "When Oracles Go Wrong: Using Preferences as a Means to Explore." In HRI '21: ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3434074.3447189.

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Yang, Zhao, Thomas Moerland, Mike Preuss, and Aske Plaat. "First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation." In 15th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011612800003393.

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Chou, Suzanne, Mojtaba Arezoomand, Marianna J. Coulentianos, Kowit Nambunmee, Richard Neitzel, Achyuta Adhvaryu, and Jesse Austin-Breneman. "The Stakeholder Agreement Metric (SAM): Quantifying Preference Agreement Between Product Stakeholders." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22138.

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Abstract Go/no-go decisions require engineering design teams to evaluate whether a concept is worth further investment of resources. These decisions can be difficult when product success depends on multiple stakeholders in addition to the end-user. This study proposes the Stakeholder Agreement Metric (SAM) framework to estimate the level of agreement between stakeholder preferences via the distance between optimal designs calculated from a preference model derived from conjoint analysis. The framework was compared to the analytical hierarchy process (AHP) in an empirical case study describing the design and piloting of a hand tool for informal electronic waste workers in Thailand. Data from a follow-up assessment indicate the SAM estimate aligned with future metrics of stakeholder satisfaction. The study further demonstrated AHP may have practical limitations due to survey requirements. This study suggests that the SAM framework is a promising tool to further explore as a way to support designers making go/no-go decisions which involve multiple stakeholders.
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Zheng, Vincent W. "Engineering Graph Features via Network Functional Blocks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/822.

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Graph is a prevalent data structure that enables many predictive tasks. How to engineer graph features is a fundamental question. Our concept is to go beyond nodes and edges, and explore richer structures (e.g., paths, subgraphs) for graph feature engineering. We call such richer structures as network functional blocks, because each structure serves as a network building block but with some different functionality. We use semantic proximity search as an example application to share our recent work on exploiting different granularities of network functional blocks. We show that network functional blocks are effective, and they can be useful for a wide range of applications.
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Vergote, David, and Martine Pellerin. "ENGAGING LEARNERS WITH A NEW BILINGUAL LEARNING ENVIRONMENT TO EXPLORE HUMAN ANATOMY: AN ITERATIVE DEVELOPMENT PROCESS TO GO FROM INTERACTING WITH 2D IMAGES TO IMMERSIVE VIRTUAL REALITY." In 17th International Technology, Education and Development Conference. IATED, 2023. http://dx.doi.org/10.21125/inted.2023.1366.

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Eckhardt, Bartley, Daniel Fridline, and Richard Burke. "Technical Analysis of Ocean Towing Evolutions." In SNAME Maritime Convention. SNAME, 2021. http://dx.doi.org/10.5957/smc-2021-130.

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Ocean towing in general, and non-routine tows in particular, present unique technical challenges to towing vessel owners/operators, salvors, the offshore oil/gas and wind industries, and others. When such tows “go wrong”, the harm to human life, property and/or the environment can be significant. The authors have drawn from their work on the Towing Safety Advisory Committee’s investigation of the grounding of the MODU Kulluk to present methods and considerations in analyzing ocean towing evolutions, both “routine” and “non-routine”. (TASK 14-01) The methods and considerations presented should be employed in advance of a towing evolution, but can be used in accident reconstruction and forensic analysis when an evolution has failed. The methods presented are iterative, and consider 2 x 6 degree freedom of motion (of the towing vessel(s) and towed vessel respectively) and characteristics of the towline, and facilitate determination of: Worst Case Conditions. Extreme Towline Tension (ETT) as a function of sea state and speed. Limits of the Tow (Go-No Go Criteria). Recommended Catenary Length as a function of sea state and speed. Size and Selection of the Towing Vessel and Gear, including: Required Bollard Pull. Required Strength, Characteristics and Condition of the Towline. Limits and Set Points of the Towing Winch, Automatic or Manual. Required Strength and Characteristics of the Synthetic Emergency Towline and its methods of deployment and connection. Working Load Limit (WLL) of the Shackles, Delta Plate and Attachment Points. Required Strength and Characteristics of Bridles, Pendant and Surge Gear/Shock Lines. The authors further explore the implications of single point failure modes, redundancy in gear and towing vessel(s), high cycle fatigue, and strain monitoring.
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Shah, Amip, Cullen Bash, Ratnesh Sharma, Tom Christian, Brian J. Watson, and Chandrakant Patel. "The Environmental Footprint of Data Centers." In ASME 2009 InterPACK Conference collocated with the ASME 2009 Summer Heat Transfer Conference and the ASME 2009 3rd International Conference on Energy Sustainability. ASMEDC, 2009. http://dx.doi.org/10.1115/interpack2009-89036.

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Numerous evaluation metrics and standards are being proposed across industry and government to measure and monitor the energy efficiency of data centers. However, the energy use of data centers is just one aspect of the environmental impact. In this paper, we explore the overall environmental footprint of data centers beyond just energy efficiency. Building upon established procedures from the environmental sciences, we create an end-to-end life-cycle model of the environmental footprint of data centers across a diverse range of impacts. We test this model in the case study of a hypothetical 2.2-MW data center. Our analysis suggests the need for evaluation metrics that go beyond just operational energy use in order to achieve sustainable data centers.
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Goshayeshisafa, Narges. "Traces of Memory, Footprints of Material." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003140.

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Our environment is the key component of our survival on earth and has the most optimal solutions that worked for three and a half billion years. Dr. Janine Benyus, pioneer in the field of Biomimicry has shown that when we emulate nature's designs and processes, we can create a healthier, more sustainable planet. Natural phenomena all around us can be the inspiration for solutions to our current problems. Human body is full of inspirations. One of the most efficient parts of a human's body is their brain. As humans go through time, their brain creates new connections and destructs the unnecessary ones to not misuse the limited resources of the brain. The result of this behavior is making new memories and forgetting the old ones. Research shows that this behavior of the brain which results in forgetfulness is a healthy process and is crucial to brain functionality. This dynamic part of the body changes as it goes through time. Just as humans go through time, so do the materials we create. Designing materials that do not exhaust the limited resources of earth can be inspired by those natural evolutionary processes that have engineered our magnificent brains. Such process creates materials that are responsive, dynamic, and easily return to enrich the cycle of life. This project is inspired by how our mind and body work. As technology advances while being inspired by brain processes in material creation we’re invited to open new doors synthesizing natural processes with current technologies. While we explore the opportunities for more sustainable materials development through additive manufacturing and computational designs, we collaborate with nature to bring these ideas to life. The result of this project showcases a taxonomy of bio-degradable materials that has been designed and created utilizing Rhino-Grasshopper and Robotic Fabrication using UR10 robotic arm. In these material prototypes, the behaviors of sample materials such as shape change, and strength have been studied to explore the opportunities they provide by engineering material properties as well as geometrical features. This study emphasizes on the need to take meaningful actions in creating sustainable materials that do not exhaust the limited resources of earth.
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Jefferson, Michael, and Suzanne Lettieri. "Lo-Res: Architectural Strategies of Localized Resilience." In 2016 ACSA International Conference. ACSA Press, 2016. http://dx.doi.org/10.35483/acsa.intl.2016.45.

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Rather than considering coastal architecture and flood defense infrastructure as having incompatible agendas, this paper argues for a study of new architectural and infrastructural hybridizations with a focus on the underlying systems that not only determine manmade fortifications that control the movement of and access to water but also offer discrete spaces for inhabitation. A study of water management infrastructural types, paired with vulnerable, remote, and unprotected coastal and riverine sites, anticipate alternative methods of resilience that serve to mediate human inhabitation in flood-threatened territories. What strategies of resilience can we establish that go beyond the typical (that accommodate flooding, flee from it, and fortify against it)and begin to incorporate dynamic characteristics of the physical environment with architectural form? The projects discussed in this paper explore these questions and are a product of the Cornell University architecture studio Lo-Res: Architectural Scales of Localized Resilience conducted during Spring 2016.
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Reports on the topic "Go-explore"

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Marti-Arbona, Ricardo. Where can you go from here? Explore unusual STEM opportunities, Science has NO LIMITS. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1893647.

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Martínez Villarreal, Déborah, Cristina Parilli, Carlos Scartascini, and Alberto Simpser. Research Insights: Unintended Byproducts of News Coverage about Noncompliance: A Social Norms Exploration. Inter-American Development Bank, May 2021. http://dx.doi.org/10.18235/0003256.

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Social norms used in communications can help/hurt compliance with public health guidelines. In Mexico, a survey experiment was conducted to explore the knowledge-behavior gap in social distancing noncompliance. Despite believing that attending social gatherings is inappropriate, communicating to a person that friends are highly likely to attend the party increases the probability of generalizing others attendance and possibly their own. Believing that it is appropriate to attend a party during COVID-19 and knowing that most friends will go does not make one more likely to guess that a person will attend that party than if one believed it was not appropriate to attend the party. This represents a contradiction.
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DiBenedetti, Dana B., T. Michelle Brown, Carla Romano, Claire Ervin, Sandy Lewis, and Sheri Fehnel. Conducting Patient Interviews Within a Clinical Trial Setting. RTI Press, August 2018. http://dx.doi.org/10.3768/rtipress.2018.op.0054.1808.

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Qualitative data centered on patients’ experiences and perspectives typically go uncollected in clinical trial settings. Yet patients’ treatment experiences offer complementary insights and context on topics such as disease management, treatment gaps, and previous treatments outside of those gathered in traditional patient-reported outcome questionnaires. Qualitative interviews can capture patients’ perceptions of treatment needs, more fully explore meaningful changes experienced as a result of treatment, and reveal outcomes that are most important to patients. Asking patients detailed questions can provide insight into the “why” of a patient’s expressed thought or feeling. The inclusion of patient interviews within clinical trials is a relatively new and evolving field of research. This article delineates the types of data that may be collected during interviews with clinical trial participants and outlines two approaches to conducting qualitative research in the clinical trial setting, with a focus on maximizing the value of the resulting data.
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García-Rojas, Karen, Paula Herrera-Idárraga, Leonardo Fabio Morales, Natalia Ramírez-Bustamante, and Ana María Tribín-Uribe. (She)cession: The Colombian female staircase fall. Banco de la República de Colombia, November 2020. http://dx.doi.org/10.32468/be.1140.

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This article seeks to analyze the Colombian labor market during the COVID-19 crisis to explore its effect on labor market gender gaps. The country offers an interesting setting for analysis because, as most countries in the Global South, it has an employment market that combines formal and informal labor, which complicates the nature of the pandemic's aftermath. Our exploration offers an analysis that highlights the crisis's effects as in a downward staircase fall that mainly affects women compared to men. We document a phenomenon that we will call a "female staircase fall." Women lose status in the labor market; the formal female workers' transition to informal jobs, occupied women fall to unemployment, and the unemployed go to inactivity; therefore, more and more women are relegated to domestic work. We also study how women’s burden of unpaid care has increased due to the crisis, affecting their participation in paid employment.
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Cavatorta, Elisa, and Orazio Attanasio. Innovations in measurement and the evaluation of human behaviour. Centre for Excellence and Development Impact and Learning (CEDIL), November 2022. http://dx.doi.org/10.51744/cmb9.

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If policymakers or researchers aim to improve an intervention, scale it up, or assess why it works and for whom, then focussing solely on direct outcomes is not enough. There are several ways in which evaluations can go beyond traditional outcome measurement and explore the underlying drivers of impact and the behaviours of beneficiaries and non-beneficiaries. - Measurement goes hand in hand with developing a theory of change, and the two work best when they evolve jointly: new (and better) measurements could allow the consideration of more flexible and realistic theories, while theory informs the construction and design of new measures. - Linking measurement to human behaviour and decision-making processes offers useful angles for identifying the underlying drivers of an intervention’s impacts. - Measurement innovation and improvements—including the construction of new measures—are an important endeavour requiring cross-disciplinary input. This endeavour should be promoted.
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Canêdo-Pinheiro, Mauricio, Filipe Lage de Sousa, and Bernardo Pereira Cabral. Interplay Between Innovation Barriers and Cooperation in Latin America: Lessons for Public Policy. Inter-American Development Bank, March 2024. http://dx.doi.org/10.18235/0005674.

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This paper investigates whether firms in Latin America that confront more barriers to innovation are more likely to engage in cooperative innovative efforts with other economic actors. Data from the Harmonized Latin American Innovation Surveys Database (LAIS) allows us to explore the relationship between these obstacles and the cooperation of innovation-active manufacturing firms with other economic agents in innovative activities. Our findings robustly suggest that cooperation is a coping strategy for innovation obstacles: firms perceiving obstacles tend to cooperate more, especially with research institutions. For small and (some) medium-sized companies, we also find a positive relationship between financial barriers and cooperation with other firms, and between market obstacles and cooperation with research institutions. These results suggest that, from a public policy perspective, efforts to increase innovation should go beyond a financial market failure approach and embrace a more comprehensive systemic failure approach.
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Diprose, Rachael, Amalinda Savirani, Annisa Sabrina Hartoto, and Ken M. P. Setiawan. Pathways of Change through Women’s Collective Action: How Women are Overcoming Barriers and Bucking Trends to Influence Rural Development in Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124329.

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This overview to the edited volume is structured to briefly explore the following key points that emerge in the case analysis of how women’s collective action has created changes for both women’s well-being and the implementation of the Village Law, as well as how such change has been supported by a wide range of CSOs across different contexts and sectors. First, we identify variation in the diversity of priorities and initiatives that villages have introduced as a result of women’s influence on the implementation of the Law. Such initiatives go beyond infrastructure and economic development projects (although women have also prioritised these kinds of initiatives) and traverse multiple sectoral issues in seeking to address challenges for villagers, particularly women, through village development. Second, we identify the different types of changes that are evident in the case studies that have implications for women’s everyday wellbeing, as well as their influence on structures of power, decision making and village development at the individual and institutional levels, and in broader contexts. Third, we discuss how changes have come about for rural village women and what factors have contributed to the changes that are illustrated through the case studies. This includes a discussion of how context dynamics constrain or enable women’s influence, variation in core challenges (or sectoral issues) for women, and how collective action has contributed to forging these changes as is illustrated by the case studies. Fourth, we explore the temporal dimensions of change. And finally, we explore some of the pathways by which such changes have occurred in the research areas, that being different contexts.
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Diprose, Rachael, Amalinda Savirani, Annisa Sabrina Hartoto, and Ken M. P. Setiawan. Pathways of Change through Women’s Collective Action: How Women are Overcoming Barriers and Bucking Trends to Influence Rural Development in Indonesia. University of Melbourne with Universitas Gadjah Mada and MAMPU, 2020. http://dx.doi.org/10.46580/124329.

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This overview to the edited volume is structured to briefly explore the following key points that emerge in the case analysis of how women’s collective action has created changes for both women’s well-being and the implementation of the Village Law, as well as how such change has been supported by a wide range of CSOs across different contexts and sectors. First, we identify variation in the diversity of priorities and initiatives that villages have introduced as a result of women’s influence on the implementation of the Law. Such initiatives go beyond infrastructure and economic development projects (although women have also prioritised these kinds of initiatives) and traverse multiple sectoral issues in seeking to address challenges for villagers, particularly women, through village development. Second, we identify the different types of changes that are evident in the case studies that have implications for women’s everyday wellbeing, as well as their influence on structures of power, decision making and village development at the individual and institutional levels, and in broader contexts. Third, we discuss how changes have come about for rural village women and what factors have contributed to the changes that are illustrated through the case studies. This includes a discussion of how context dynamics constrain or enable women’s influence, variation in core challenges (or sectoral issues) for women, and how collective action has contributed to forging these changes as is illustrated by the case studies. Fourth, we explore the temporal dimensions of change. And finally, we explore some of the pathways by which such changes have occurred in the research areas, that being different contexts.
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Cannon, Mariah, and Pauline Oosterhoff. Tired and Trapped: Life Stories from Cotton Millworkers in Tamil Nadu. Institute of Development Studies, March 2021. http://dx.doi.org/10.19088/clarissa.2021.002.

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Labour abuse in the garment industry has been widely reported. This qualitative research explores the lived experiences in communities with bonded labour in Tamil Nadu, India. We conducted a qualitative expert-led analysis of 301 life stories of mostly women and girls. We also explore the differences and similarities between qualitative expert-led and participatory narrative analyses of life stories of people living near to and working in the spinning mills. Our findings show that the young female workforce, many of whom entered the workforce as children, are seen and treated as belonging – body, mind and soul – to others. Their stories confirm the need for a feminist approach to gender, race, caste and work that recognises the complexity of power. Oppression and domination have material, psychological and emotional forms that go far beyond the mill. Almost all the girls reported physical and psychological exhaustion from gendered unpaid domestic work, underpaid hazardous labour, little sleep, poor nutrition and being in unhealthy environments.
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Groeneveld, Caspar, Elia Kibga, and Tom Kaye. Deploying an e-Learning Environment in Zanzibar: Feasibility Assessment. EdTech Hub, July 2020. http://dx.doi.org/10.53832/edtechhub.0028.

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The Zanzibar Ministry of Education and Vocational Training (MoEVT) and the World Bank (the Bank) approached the EdTech Hub (the Hub) in April 2020 to explore the feasibility of implementing a Virtual Learning Environment (VLE). The Hub was requested to focus primarily on the deployment of a VLE in lower secondary education, and this report consequently focuses primarily on this group. The report is structured in four sections: An introduction to provide the background and guiding principles for the engagement with a short overview of the methodology applied. An analysis of the Zanzibar education system with a particular focus on elements relevant to deploying a VLE. This includes the status of ICT infrastructure, and a summary of the stakeholders who will play a role in using or implementing a VLE. A third section that discusses types of VLEs and content organisation, and their applicability to the Zanzibar ecosystem. A conclusion with recommendations for Zanzibar, including short- and long-term steps. In this collaboration with Zanzibar’s MoEVT, the Hub team sought to understand the purpose of the proposed VLE. Based on discussions and user scenarios, we identified two main education challenges a VLE may help to resolve. In the short term, students cannot go to school during the COVID-19 crisis, but need access to educational content. There is content, but no flexible and versatile platform to disseminate content to all students. In the long term, a mechanism to provide students with access to quality, curriculum-aligned content in school, or remotely, is required.
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