Relevant bibliographies by topics / Hybrid Programming

Contents

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

Academic literature on the topic 'Hybrid Programming'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Hybrid Programming"

1

Santana, Juan Carlos. "Hybrid Programming." Strength and Conditioning Journal 26, no. 3 (2004): 51–52. http://dx.doi.org/10.1519/00126548-200406000-00014.

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Brik, Alex, and Jeffrey Remmel. "Hybrid Answer Set Programming." Annals of Pure and Applied Logic 165, no. 1 (2014): 134–63. http://dx.doi.org/10.1016/j.apal.2013.07.008.

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Shpakov. "Programming of interacting hybrid processes." SPIIRAS Proceedings 1, no. 2 (2014): 294. http://dx.doi.org/10.15622/sp.2.22.

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Hussein, Mohammad L., and Mahmoud A. Abo-Sinna. "Decomposition of multiobjective programming problems by hybrid fuzzy-dynamic programming." Fuzzy Sets and Systems 60, no. 1 (1993): 25–32. http://dx.doi.org/10.1016/0165-0114(93)90286-q.

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Hedlund, S., and A. Rantzer. "Convex dynamic programming for hybrid systems." IEEE Transactions on Automatic Control 47, no. 9 (2002): 1536–40. http://dx.doi.org/10.1109/tac.2002.802753.

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Prestwich, S. D., S. A. Tarim, R. Rossi, and B. Hnich. "Hybrid metaheuristics for stochastic constraint programming." Constraints 20, no. 1 (2014): 57–76. http://dx.doi.org/10.1007/s10601-014-9170-x.

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NIKOLAEV, NIKOLAY Y., and HITOSHI IBA. "GENETIC PROGRAMMING OF POLYNOMIAL HARMONIC NETWORKS USING THE DISCRETE FOURIER TRANSFORM." International Journal of Neural Systems 12, no. 05 (2002): 399–410. http://dx.doi.org/10.1142/s0129065702001242.

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This paper presents a genetic programming system that evolves polynomial harmonic networks. These are multilayer feed-forward neural networks with polynomial activation functions. The novel hybrids assume that harmonics with non-multiple frequencies may enter as inputs the activation polynomials. The harmonics with non-multiple, irregular frequencies are derived analytically using the discrete Fourier transform. The polynomial harmonic networks have tree-structured topology which makes them especially suitable for evolutionary structural search. Empirical results show that this hybrid genetic
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Ren, Huizhi, and Shenshen Sun. "A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem." Discrete Dynamics in Nature and Society 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5201937.

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A special parallel production lines scheduling problem is studied in this paper. Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem. A few valid inequalities are deduced and a hybrid mixed integer linear programming/constraint programming (MILP/CP) decomposition strategy is introduced. Based on them, a hybrid integer programming/genetic algorithm (IP/GA) approach is proposed to solve the problem. At last, the numerical experiments demonstrate that the proposed solution approach is effective and efficient.
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Chorley, Martin J., David W. Walker, and Martyn F. Guest. "Hybrid Message-Passing and Shared-Memory Programming in a Molecular Dynamics Application On Multicore Clusters." International Journal of High Performance Computing Applications 23, no. 3 (2009): 196–211. http://dx.doi.org/10.1177/1094342009106188.

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Hybrid programming, whereby shared-memory and message-passing programming techniques are combined within a single parallel application, has often been discussed as a method for increasing code performance on clusters of symmetric multiprocessors (SMPs). This paper examines whether the hybrid model brings any performance benefits for clusters based on multicore processors. A molecular dynamics application has been parallelized using both MPI and hybrid MPI/OpenMP programming models. The performance of this application has been examined on two high-end multicore clusters using both Infiniband an
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SMITH, SCOTT F. "HYBRID PARTIAL-TOTAL TYPE THEORY." International Journal of Foundations of Computer Science 06, no. 03 (1995): 235–63. http://dx.doi.org/10.1142/s0129054195000159.

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In this paper a hybrid type theory HTT is defined which combines the programming language notion of partial type and the logical notion of total type into a single theory. A new partial type constructor [Formula: see text] is added to the type theory: objects in [Formula: see text] may diverge, but if they converge, they must be members of the type A. A fixed point typing rule is given to allow for typing of fixed points. The underlying theory is based on ideas from Martin-Löf’s Intuitionistic Type Theory and Feferman’s Class Theory. The extraction paradigm of constructive type theory is exten
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Dissertations / Theses on the topic "Hybrid Programming"

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Bentz, Jonathan Lee. "Hybrid programming in high performance scientific computing." [Ames, Iowa : Iowa State University], 2006.

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De, Oliveira Clarissa C. "Experience Programming: an exploration of hybrid tangible-virtual block based programming interaction." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22279.

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In less than a century, programming languages have assumed many forms in adapting to system’s needs and capacities, of which our cognitive systems are a part. One variation, tailored specifically for the cognitive processes in children’s education of computational concepts, and nowadays successful among novice adult learners too, is that of visual block based programming. From the pool of available block based programming environments, Scratch is the most popular for users, and therefore becomes a good topic for researchers interested in contemporary educational discussions, including that of
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Axelsson, Henrik. "Hybrid control of multiple autonomous mobile robots." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/15439.

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Newall, James P. "Hybrid methods for automated timetabling." Thesis, University of Nottingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285687.

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PONTE, THIAGO COSTA. "LUACHARM: A HYBRID MODEL USING SCRIPTING LANGUAGES FOR PARALEL PROGRAMMING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30276@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Nos últimos anos, as linguagens de script ganharam muita importância em diversas áreas da computação. Uma das áreas onde essas linguagens ainda são pouco exploradas é na área de computação paralela. A computação paralela sempre foi fortemente associada a computação científica, mas recentemente ela ganhou uma nova importância com a popularização de processadores multi-core. Com esse crescimento se torna necessário o surgimento de novos paradigmas de programação paralela para facilitar o desenvolv
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Henry, Lyndon Manning. "A Hybrid Approach to Logic Evaluation." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25800.

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In this thesis, we contribute the hybrid approach – a means of combining the practical advantages of feature-rich logic evaluation in the cloud, with the performance benefits of hand-written, optimized, efficient native code. In the first part of our hybrid approach, we introduce a cloud-based distribution for logic programs, which may be deployed as a service, in standard cloud environments, across cheap commodity hardware. Modern systems are in the cloud; while distributed logic solvers exist, these systems are highly specialized, requiring expensive, resource intensive hardware infrastruct
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Guimarans, Serrano Daniel. "Hybrid algorithms for solving routing problems." Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/96386.

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Un component important de molts sistemes de distribució és el càlcul de les rutes dels vehicles per servir els clients. El Vehicle Routing Problem (VRP) proporciona el marc teòric per tractar aquest tipus de problemes logístics relacionats amb la distribució física de béns. Per la seva complexitat i aplicabilitat, aquest tipus de problemes logístics es troba entre les línies de recerca més populars en optimització combinatòria. Aquesta tesi de doctorat té com a objectiu la introducció de tres metodologies diferents per resoldre el VRP. Aquestes metodologies han estat especialment dissenyades
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Nakhaee, Noraddin. "A hybrid MIMD/DF compiler for parallel processing." Thesis, Nottingham Trent University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304693.

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Stasinakis, Charalampos. "Applications of hybrid neural networks and genetic programming in financial forecasting." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4921/.

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This thesis explores the utility of computational intelligent techniques and aims to contribute to the growing literature of hybrid neural networks and genetic programming applications in financial forecasting. The theoretical background and the description of the forecasting techniques are given in the first part of the thesis (chapters 1-3), while the contribution is provided through the last five self-contained chapters (chapters 4-8). Chapter 4 investigates the utility of the Psi Sigma neural network when applied to the task of forecasting and trading the Euro/Dollar exchange rate, while K
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Rivotti, Pedro. "Multi-parametric programming and explicit model predictive control of hybrid systems." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/24432.

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This thesis is concerned with different topics in multi-parametric programming and explicit model predictive control, with particular emphasis on hybrid systems. The main goal is to extend the applicability of these concepts to a wider range of problems of practical interest, and to propose algorithmic solutions to challenging problems such as constrained dynamic programming of hybrid linear systems and nonlinear explicit model predictive control. The concepts of multi-parametric programming and explicit model predictive control are presented in detail, and it is shown how the solution to expl
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Books on the topic "Hybrid Programming"

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Laburthe, François. Hybrid optimization techniques. Kluwer Academic Publishers, 2004.

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Levesque, John, and Aaron Vose. Programming for Hybrid Multi/Manycore MPP Systems. Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315155944.

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Zedan, H. Hybrid parallel programming: Algebraic laws and implementation. De MontfortUniversity, SERCentre, 1996.

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Senchenko, N. I. Programmnoe obespechenie analogo-t͡s︡ifrovykh vychislitelʹnykh sistem. "Mashinostroenie", 1985.

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P, Carloni Luca, ed. Languages and tools for hybrid systems design. Now, 2006.

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Jayawardene, Wasantha, and Chesmi Kumbalatara. Use of Hybrid Methods to Boost Response Rate in Surveys for Planning of Prevention Programming. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036215828.

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Christian, Blum, ed. Hybrid metaheuristics: An emerging approach to optimization. Springer, 2008.

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Barney, Lee. Developing hybrid applications for the iPhone: Using HTML, CSS, and JavaScript to build dynamic apps for the iPhone. Addison-Wesley, 2009.

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Analog and Hybrid Computer Programming. de Gruyter GmbH, Walter, 2023.

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Ulmann, Bernd. Analog and Hybrid Computer Programming. de Gruyter GmbH, Walter, 2020.

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Book chapters on the topic "Hybrid Programming"

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Liu, Baoding. "Hybrid Programming." In Theory and Practice of Uncertain Programming. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89484-1_6.

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Kohn, Wolf, and Jeffrey B. Remmel. "Hybrid dynamic programming." In Hybrid and Real-Time Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0014740.

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Treleaven, Philip C., and Paulo V. Rocha. "Hybrid programming environments." In New Trends in Neural Computation. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56798-4_172.

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Shukla, Anupam, Ritu Tiwari, and Rahul Kala. "Genetic Programming." In Towards Hybrid and Adaptive Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14344-1_10.

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Talbi, El-Ghazali. "A Unified Taxonomy of Hybrid Metaheuristics with Mathematical Programming, Constraint Programming and Machine Learning." In Hybrid Metaheuristics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30671-6_1.

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Barahona, Pedro, Ludwig Krippahl, and Olivier Perriquet. "Bioinformatics: A Challenge to Constraint Programming." In Hybrid Optimization. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1644-0_14.

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Shaw, Paul. "Constraint Programming and Local Search Hybrids." In Hybrid Optimization. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1644-0_8.

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Gupta, Vineet, Radha Jagadeesan, Vijay Saraswat, and Daniel G. Bobrow. "Programming in hybrid constraint languages." In Hybrid Systems II. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60472-3_12.

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Cotta, Carlos, Iván Dotú, Antonio J. Fernández, and Pascal Van Hentenryck. "Scheduling Social Golfers with Memetic Evolutionary Programming." In Hybrid Metaheuristics. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11890584_12.

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Riguzzi, Fabrizio. "Hybrid Programs." In Foundations of Probabilistic Logic Programming, 2nd ed. River Publishers, 2023. http://dx.doi.org/10.1201/9781003427421-4.

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Conference papers on the topic "Hybrid Programming"

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Tanaka, Kazuaki, Sota Ogura, and R. Krishnamoorthy. "Hybrid IoT Programming with Data Flow Diagrams and mruby." In 2024 IEEE Conference on Dependable, Autonomic and Secure Computing (DASC). IEEE, 2024. https://doi.org/10.1109/dasc64200.2024.00017.

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Linghu, Hongying, and Chengguan Xiang. "Research on Human-Machine Hybrid Enhanced Programming Teaching Model." In 2024 14th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2024. https://doi.org/10.1109/itme63426.2024.00231.

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Dittrich, Peter, and Naoki Matsumaru. "Organization-Oriented Chemical Programming." In 7th International Conference on Hybrid Intelligent Systems (HIS 2007). IEEE, 2007. http://dx.doi.org/10.1109/ichis.2007.4344021.

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Dittrich, Peter, and Naoki Matsumaru. "Organization-Oriented Chemical Programming." In 7th International Conference on Hybrid Intelligent Systems (HIS 2007). IEEE, 2007. http://dx.doi.org/10.1109/his.2007.57.

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Shan, Hongzhong. "Hybrid Programming for Multicore Processors." In 2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2011. http://dx.doi.org/10.1109/cso.2011.148.

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Mohanty, Siddharth, and Murray Cole. "Autotuning Wavefront Applications for Multicore Multi-GPU Hybrid Architectures." In Programming Models and Applications. ACM Press, 2007. http://dx.doi.org/10.1145/2578948.2560689.

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Weise, Thomas, Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs. "Genetic Programming meets Model-Driven Development." In 7th International Conference on Hybrid Intelligent Systems (HIS 2007). IEEE, 2007. http://dx.doi.org/10.1109/ichis.2007.4344073.

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Weise, Thomas, Michael Zapf, Mohammad Ullah Khan, and Kurt Geihs. "Genetic Programming meets Model-Driven Development." In 7th International Conference on Hybrid Intelligent Systems (HIS 2007). IEEE, 2007. http://dx.doi.org/10.1109/his.2007.11.

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Yuan, Hans, and Yingjun Cao. "Hybrid Pair Programming - A Promising Alternative to Standard Pair Programming." In SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education. ACM, 2019. http://dx.doi.org/10.1145/3287324.3287352.

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Akram, Shoaib, Kathryn S. McKinley, Jennifer B. Sartor, and Lieven Eeckhout. "Managing hybrid memories by predicting object write intensity." In 2018: 2nd International Conference on the Art, Science, and Engineering of Programming 2018. ACM, 2018. http://dx.doi.org/10.1145/3191697.3213803.

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Reports on the topic "Hybrid Programming"

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Shi, Leyuan. Hybrid Nested Partitions and Math Programming Framework for Large-scale Combinatorial Optimization. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada571384.

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Lomax, Jake, Matthew Osborne, and Fiona Lambe. Locating the unintended consequences of interventions: a tool for analysing impact inequality in development programming. Stockholm Environment Institute, 2023. http://dx.doi.org/10.51414/sei2023.011.

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A new tool, LUCI, has been developed as part of the Locacons Project to determine the broader impacts of development interventions. Knowledge of how and where interventions may create unintended consequences is crucial for all sectors; however, in communities with a history of conflict, in particular, unintended impacts of interventions have been shown to be significant contributors to the exacerbation of conflict potential. Estimates show that two-thirds of the world’s poor will live in fragile and conflict-affected states by 2030. The LUCI tool can be useful in many contexts. The authors pre
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Pasupuleti, Murali Krishna. Optimal Control and Reinforcement Learning: Theory, Algorithms, and Robotics Applications. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv225.

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Abstract: Optimal control and reinforcement learning (RL) are foundational techniques for intelligent decision-making in robotics, automation, and AI-driven control systems. This research explores the theoretical principles, computational algorithms, and real-world applications of optimal control and reinforcement learning, emphasizing their convergence for scalable and adaptive robotic automation. Key topics include dynamic programming, Hamilton-Jacobi-Bellman (HJB) equations, policy optimization, model-based RL, actor-critic methods, and deep RL architectures. The study also examines traject
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Kelly, Luke. What Accountability Means in Somalia. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.113.

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This rapid literature review finds that accountability programming in Somalia is focused on working effectively with the country’s hybrid governance. A number of programmes have generated findings on the potential of non-state actors to improve accountability, with a focus on contextual analysis and adaptive programming. Accountability is defined as mechanisms to hold people in power to account according to an agreed standard. Improving accountability may be difficult in fragile and conflict-affected states such as Somalia where power is dispersed and informal. Somalia is commonly described as
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Evidence-informed planning and action in Central Asia: Learnings from the Tajikistan Adolescent Wellbeing and Health Pilot Project. Population Council, 2021. http://dx.doi.org/10.31899/sbsr2021.1046.

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To address adolescent health and wellbeing in Tajikistan, the Aga Khan Foundation (AKF) and Population Council used a hybrid human-centered (HCD) and evidence-based program design to engage adolescent girls, boys, and caregivers in a guided process of defining key issues and program areas. The design informed the development of a first-of-its-kind program model for AKF and in Tajikistan: coordinated community-based groups for adolescent girls and boys, caregivers' groups, and an institutional stakeholder community of practice in Tajikistan. Design and implementation experiences established "pr
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Comparative Analysis on Fuel Consumption Between Two Online Strategies for P2 Hybrid Electric Vehicles: Adaptive-RuleBased (A-RB) vs Adaptive-Equivalent Consumption Minimization Strategy (A-ECMS). SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0740.

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Hybrid electric vehicles (HEVs) represent one of the main technological options for reducing vehicle CO2 emissions, helping car manufacturers (OEMs) to meet the stricter targets which are set by the European Green Deal for new passenger cars at 80 g CO2/km by 2025. The optimal power-split between the internal combustion engine (ICE) and the electric motor is a challenge since it depends on many unpredictable variables. In fact, HEV improvements in fuel economy and emissions strongly depend on the energy management strategy (EMS) on-board of the vehicle. Dynamic Programming approach (DP), direc
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