Relevant bibliographies by topics / Problem of fit

Contents

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

Academic literature on the topic 'Problem of fit'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Problem of fit"

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Pronk, Nico. "The Problem With Too Much Sitting." ACSM's Health & Fitness Journal 15, no. 1 (2011): 41–43. http://dx.doi.org/10.1249/fit.0b013e318201d199.

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Chan, Hock Chuan, Suparna Goswami, and Hee-Woong Kim. "An Alternative Fit through Problem Representation in Cognitive Fit Theory." Journal of Database Management 23, no. 2 (2012): 22–43. http://dx.doi.org/10.4018/jdm.2012040102.

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This paper uses cognitive fit theory to analyze the problem solving process in spreadsheet analyses. Cognitive fit theory proposes the formation of mental representation as a part of the problem solving process. However, there is little research examining mental representation, which is a key concept in cognitive fit theory. This study examines the formation of mental representation and proposes an alternative mechanism of cognitive fit between different problem representations and their corresponding mental representations when the task is invariant, but the problem representation changes. Mental representation is then empirically assessed based on the application of Hick’s law, which states that the response time of users making a choice varies with the logarithm of the number of possible choices. Therefore, this study contributes to research on cognitive fit theory by proposing an alternative fit and by demonstrating a feasible approach for identifying mental representations. It contributes to spreadsheet research by showing how problem representations affect task performance in the case of spreadsheet error correction.
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Peterman, James E., and David R. Bassett. "HOUSTON, WE HAVE A (PHYSICAL ACTIVITY) PROBLEM." ACSMʼs Health & Fitness Journal 23, no. 5 (2019): 16–20. http://dx.doi.org/10.1249/fit.0000000000000505.

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Jackman, Connor, and Josué Meléndez. "Hyperbolic Shirts fit a 4-body problem." Journal of Geometry and Physics 123 (January 2018): 173–83. http://dx.doi.org/10.1016/j.geomphys.2017.09.006.

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Brooks, J. P., and J. H. Dulá. "The L1-norm best-fit hyperplane problem." Applied Mathematics Letters 26, no. 1 (2013): 51–55. http://dx.doi.org/10.1016/j.aml.2012.03.031.

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Song, Ha-Joo, and Oh-Heum Kwon. "An Approximation Algorithm based on First-fit Strategy for Template Packing Problem." Journal of Korea Multimedia Society 19, no. 2 (2016): 443–50. http://dx.doi.org/10.9717/kmms.2016.19.2.443.

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Heinrichs, Jan-Hendrik. "The numbers don't fit: a problem for reliabilism." EPISTEMOLOGIA, no. 1 (July 2014): 96–105. http://dx.doi.org/10.3280/epis2014-001006.

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Dong, Guang Jing, Tie Ke Li, Bai Lin Wang, Liang Bai, and Shao Yun Xu. "Improved Best Fit Algorithm for Billet Stacking Problem." Applied Mechanics and Materials 488-489 (January 2014): 1235–38. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1235.

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Aiming at billet stacking problem of the rolling mill, an IBF algorithm is used to assign the billet to the warehouse positions. The utilization of non-empty warehouse positions and shuffles are considered in the algorithm. Computational experiments demonstrate that the proposed algorithm is feasible and effective, competitive and able to find more high-quality solutions for problem instances than artificial method.
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Khmaladze, E. V. "Goodness of Fit Problem and Scanning Innovation Martingales." Annals of Statistics 21, no. 2 (1993): 798–829. http://dx.doi.org/10.1214/aos/1176349152.

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Lopes, J. P., and D. A. Hills. "The axisymmetric shrink fit problem subjected to torsion." International Journal of Engineering Science 150 (May 2020): 103259. http://dx.doi.org/10.1016/j.ijengsci.2020.103259.

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Dissertations / Theses on the topic "Problem of fit"

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LINDMARK, JONAS. "No Fit Polygon problem : Developing a complete solution to the No Fit Polygon problem." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142353.

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This thesis evaluates some of the most recent and promising approaches for deriving the No Fit Polygon for two simple polygons, possibly with holes, and verify that the approach works in practice. We have chosen three different approaches based on the complexity of the input. These approaches were implemented and benchmarked against CGAL [1], a third party library which provides solvers for many computational geometry problems. Our solution solves problems of a higher degree of complexity than that of the library we benchmarked against and for input of lower complexity we solve the problem in a more efficient manner.<br>Den här uppsatsen evaluerar några av de senaste och mest lovande tillvägagånssätt för att generera No Fit - polygonen för två enkla polygoner, med och utan hål, och verifiera att de fungerar i praktiken. Vi har valt tre olika tillvägagångssätt baserat på komplexiteten av indata. Dessa tillvägagångssätt implementerades och jämfördes med CGAL [1], ett tredjepartsbibliotek som tillhandahåller lösare av många beräkningsgeometriska problem. Vår lösning klarar problem av en högre grad av komplexitet än tredjepartsbiblioteket vi jämför med. För indata av lägre komplexitetsnivåer löser vi problemet mer effektivt.
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Paulík, Miroslav. "Optimalizátor rozvrhu zkoušek na FIT." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234936.

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This paper describes automated examination scheduling for the Faculty of Information Technology of Brno University of Technology. It specifies a list of restrictions that must by satisfied. Furthermore, this limitations are classified due to their influence on a quality of the final version of the examination schedule. There are two types of restrictions; soft and hard. The task is to find such a solution that satisfies all hard constraints and breaks the minimum of soft constraints using techniques described in this paper.
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Nasuto, Slawomir Jaroslaw. "Resource allocation analysis of the stochastic diffusion search." Thesis, University of Reading, 1999. http://centaur.reading.ac.uk/18630/.

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The Stochastic Diffusion Search (SDS) was developed as a solution to the best-fit search problem. Thus, as a special case it is capable of solving the transform invariant pattern recognition problem. SDS is efficient and, although inherently probabilistic, produces very reliable solutions in widely ranging search conditions. However, to date a systematic formal investigation of its properties has not been carried out. This thesis addresses this problem. The thesis reports results pertaining to the global convergence of SDS as well as characterising its time complexity. However, the main emphasis of the work, reports on the resource allocation aspect of the Stochastic Diffusion Search operations. The thesis introduces a novel model of the algorithm, generalising an Ehrenfest Urn Model from statistical physics. This approach makes it possible to obtain a thorough characterisation of the response of the algorithm in terms of the parameters describing the search conditions in case of a unique best-fit pattern in the search space. This model is further generalised in order to account for different search conditions: two solutions in the search space and search for a unique solution in a noisy search space. Also an approximate solution in the case of two alternative solutions is proposed and compared with predictions of the extended Ehrenfest Urn model. The analysis performed enabled a quantitative characterisation of the Stochastic Diffusion Search in terms of exploration and exploitation of the search space. It appeared that SDS is biased towards the latter mode of operation. This novel perspective on the Stochastic Diffusion Search lead to an investigation of extensions of the standard SDS, which would strike a different balance between these two modes of search space processing. Thus, two novel algorithms were derived from the standard Stochastic Diffusion Search, ‘context-free’ and ‘context-sensitive’ SDS, and their properties were analysed with respect to resource allocation. It appeared that they shared some of the desired features of their predecessor but also possessed some properties not present in the classic SDS. The theory developed in the thesis was illustrated throughout with carefully chosen simulations of a best-fit search for a string pattern, a simple but representative domain, enabling careful control of search conditions.
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Mundim, Leandro Resende. "Uma abordagem heurística para o corte de itens irregulares em múltiplos recipientes." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-05082015-112059/.

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Problemas de corte e empacotamento de itens irregulares são problemas que visam determinar um leiaute ótimo de objetos pequenos dentro de objetos maiores, a fim de atender a uma demanda. Estes problemas têm grande importância prática, já que surgem em vários tipos de indústria (como a têxtil, a de móveis e a de calçados). O problema estudado neste trabalho é o problema de corte de itens irregulares em recipientes. Os recipientes são delimitados e o objetivo é encontrar um leiaute dos objetos menores, sem sobreposição, dentro dos objetos maiores utilizando a menor quantidade de recipientes. Propomos um novo método de resolução para o problema. Nosso método é um algoritmo que gerencia um conjunto de heurísticas, de baixo nível, específicas para a resolução do problema com recipientes retangulares e irregulares. Recipientes irregulares são polígonos convexos e não convexos, que podem ser furados. As heurísticas desenvolvidas utilizam uma malha de pontos sobre a técnica de no-fit polygon para evitar a sobreposição dos itens e encontrar posições viáveis no recipiente retangular ou irregular. Os experimentos computacionais foram feitos para um grande conjunto de instâncias, de recipientes retangulares e irregulares. Os resultados demonstram a competitividade do método, que obtêm resultados bons e algumas soluções ótimas, em um tempo computacional aceitável.<br>Cutting and packing of irregular items are problems that aim to determine the optimum layout of small objects within larger objects (that we call bins), in order to meet a demand. These problems have great practical importance, since they emerge in various types of industry (such as textile, furniture and shoemaking). The problem studied in this work is the irregular bin packing problem. The bins are enclosed and the goal is to find a layout of items, without overlap, within the bins by using the minimum quantity of them. We propose a new method of resolution to this problem. Our method is an algorithm that manages a set of low-level heuristics, specific to solve the problem with rectangular bins and irregular bins. Irregular bins are convex and non-convex polygons, which may contain holes. The developed heuristics uses a mesh of points and the technique of no-fit polygon to avoid the overlapping of items and find feasible positions in rectangular or irregular bins. The computational experiments were performed for a large set of instances, using both rectangular and irregular bins. The results demonstrate the competitiveness of the method, which can get good results and some optimal solutions within an acceptable computational time.
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Kendall, Graham. "Applying meta-heuristic algorithms to the nesting problem utilising the no fit polygon." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342064.

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Hurst, Mark A. "The best fit in counseling men : are there solutions to treating men as the problem?" Virtual Press, 1997. http://liblink.bsu.edu/uhtbin/catkey/1073730.

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Men's reluctance to seek psychological help appears to be related to a discrepancy between values and behaviors of the traditional male role and values and behaviors commonly associated with the counseling setting. The view that men must adopt traditional feminine ways of relating and coping to engage in and receive value from therapy has been challenged recently. Alternative interventions may be more attractive to some men who need help, but are unwilling to enter therapy.This study assessed: (a) the influence of male role socialization on help-seeking and (b) men's preferences for and expectations of different therapeutic orientations. It was proposed that more traditional men would be less likely to seek help for a serious psychological concern, but would be more attracted to interventions that reflect values consistent with traditional male ways of coping if they were to seek help (solution-focused and cognitive-behavioral therapy). Additionally, it was proposed that men expect psychologists to use interventions that require expression of more feminine characteristics and behaviors (psychodynamic and person-centered orientations).Undergraduate males (N = 259) were recruited from intact classrooms at a large midwestern university. Three gender role measures were administered to assess traditional masculinity ideology, and male role stress and conflict. Subjects viewed a video of a male client describing a serious personal problem and were asked about their likelihood to seek help if they were experiencing this problem. They were also asked to report their preference for and expectation of four therapy orientations if they were to seek help.Males who endorsed more traditional ideology and experienced greater role conflict were less likely to seek help for the videotaped problem. Males less likely to seek help preferred that their psychologist employ a solution-focused orientation if they were to seek help. Participants expected their psychologist to employ person-centered and psychodynamic orientations more often than solution-focused or cognitive behavioral orientations. Prior experience in counseling also affects preferences.Conclusions support the idea that some males view the counseling setting as a poor fit and may prefer and access interventions that more closely represent male ways of relating and coping.<br>Department of Counseling Psychology and Guidance Services
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Wehr, Richard, and Scott R. Saleska. "The long-solved problem of the best-fit straight line: application to isotopic mixing lines." COPERNICUS GESELLSCHAFT MBH, 2017. http://hdl.handle.net/10150/622813.

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It has been almost 50 years since York published an exact and general solution for the best-fit straight line to independent points with normally distributed errors in both <i>x</i> and <i>y</i>. York's solution is highly cited in the geophysical literature but almost unknown outside of it, so that there has been no ebb in the tide of books and papers wrestling with the problem. Much of the post-1969 literature on straight-line fitting has sown confusion not merely by its content but by its very existence. The optimal least-squares fit is already known; the problem is already solved. Here we introduce the non-specialist reader to York's solution and demonstrate its application in the interesting case of the isotopic mixing line, an analytical tool widely used to determine the isotopic signature of trace gas sources for the study of biogeochemical cycles. The most commonly known linear regression methods – ordinary least-squares regression (OLS), geometric mean regression (GMR), and orthogonal distance regression (ODR) – have each been recommended as the best method for fitting isotopic mixing lines. In fact, OLS, GMR, and ODR are all special cases of York's solution that are valid only under particular measurement conditions, and those conditions do not hold in general for isotopic mixing lines. Using Monte Carlo simulations, we quantify the biases in OLS, GMR, and ODR under various conditions and show that York's general – and convenient – solution is always the least biased.
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Bruns, Russell Luis. "Finite element analysis of stresses in a uniaxially loaded elastic sheet containing an interference-fit fastener." Master's thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-10242009-020140/.

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Doneliene, Margarita [Verfasser]. "Eutrophication Governance in the Baltic Sea Region: Institutional Interplay and the Problem of Fit / Margarita Doneliene." Berlin : Freie Universität Berlin, 2016. http://d-nb.info/1081935529/34.

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Percy, Edward Richard. "Corrected LM goodness-of-fit tests with applicaton to stock returns." Columbus, Ohio : Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1134416514.

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Books on the topic "Problem of fit"

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Will Gulliver's suit fit?: Mathematical problem-solving with children. Cambridge University Press, 1986.

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Kostagiolas, Petros. The goodness of fit problem with industrial reliability data. University of Birmingham, 1998.

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Ministering to kids who don't fit. Accent Publications, 1993.

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Mengistu, Berhanu. Budget methods and policy priorities: The essential fit between method and the nature of the policy problem. School of Government, University of the Western Cape, 1997.

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Eileen, Costello, ed. Quirky kids: Understanding and helping your child who doesn't fit in-- when to worry and when not to worry. Ballantine Books, 2003.

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McDonald, Arline. Fat reduction: Trim fat from your life. Publications Int'l., 1996.

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Keep your brain fit: 101 ways to tone your mind. Duncan Baird Publishers, 2009.

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Sheridan, Peter. Big fat love. Tivoli, 2003.

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Copes, Donald L. Bark scoring problem grafts in five douglas-fir seed orchards: A case history. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Forest Research Station, 1989.

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Edward, Behr. Une Amérique qui fait peur. Plon, 1995.

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Book chapters on the topic "Problem of fit"

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Ghijsen, Harmen. "Evidentialism and the Problem of Fit." In The Puzzle of Perceptual Justification. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30500-4_2.

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Bridge, Simon. "The Problem: The Facts Do Not Fit the Theory." In Rethinking Enterprise Policy. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230289833_4.

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Nikulin, M., and V. Solev. "Testing Problem for Increasing Function in a Model with Infinite Dimensional Nuisance Parameter." In Goodness-of-Fit Tests and Model Validity. Birkhäuser Boston, 2002. http://dx.doi.org/10.1007/978-1-4612-0103-8_36.

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Jaeger, Lars. "Einstein Does Not Fit: The Fundamental Problem in Physics Today." In The Second Quantum Revolution. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98824-5_14.

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Fermanian, Jean-David. "An Overview of the Goodness-of-Fit Test Problem for Copulas." In Copulae in Mathematical and Quantitative Finance. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35407-6_4.

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Burke, Edmund, and Graham Kendall. "Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem." In Advanced Topics in Artificial Intelligence. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46695-9_38.

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Lin, Wenshui, Jinping Xu, Jiandong Wang, and Xinyou Wu. "A Bricklaying Best-Fit Heuristic Algorithm for the Orthogonal Rectangle Packing Problem." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23220-6_81.

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Zhu, Ying, Xiaoyuan Suo, and G. Scott Owen. "A Visual Data Exploration Framework for Complex Problem Solving Based on Extended Cognitive Fit Theory." In Advances in Visual Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10520-3_83.

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Rapke, Tina, Jennifer Hall, and Richelle Marynowski. "Re-Framing Testing to Better Fit Within Problem-solving Classrooms: Ways to Create and Review Tests." In Teaching and Learning Secondary School Mathematics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92390-1_43.

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Hutterer, Rudi. "Stoffchemie; themenübergreifende Probleme." In Fit in Anorganik. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30486-7_12.

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Conference papers on the topic "Problem of fit"

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Kaspirovich, K. Z. "Stabilization of first integrals in optimal control problem." In FIT-M 2020. Знание-М, 2020. http://dx.doi.org/10.38006/907345-75-1.2020.215.220.

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Работа посвящена исследованию влияния управляющих воздействий на характер движения и маневрирования космических аппаратов, в результате чего летательные установки могут достигать заданной оптимальной траектории
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Kolnogorov, A. V. "Multi-Armed Bandit Problem and Optimization of Multi-Alternative Processing of Big Data." In FIT-M 2020. Знание-М, 2020. http://dx.doi.org/10.38006/907345-75-1.2020.250.255.

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В минимаксной постановке рассмотрены три модели управления пакетной обработкой больших данных при наличии двух и более альтернативных методов обработки с различными априори неизвестными эффективностями. Требуется определить более эффективный метод и обеспечить его преимущественное применение. Рассмотрены классический минимаксный алгоритм управления, правило UCB (верхней границы доверительного интервала) и алгоритм EXP3 (зеркального спуска).Настройка параметров алгоритмов и оценка качества управления пакетной обработкой выполнены численными методами. Основной результат состоит в том, что оптимальная пакетная обработка при достаточно большом числе пакетов, на которые разбиты исходные данные, обеспечивает приблизительно такое же качество управления, как и оптимальная обработка данных по одному.
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Bhatia, A. K., M. Hazra, and S. K. Basu. "Better-Fit Heuristic for One-Dimensional Bin-Packing Problem." In 2009 IEEE International Advance Computing Conference (IACC 2009). IEEE, 2009. http://dx.doi.org/10.1109/iadcc.2009.4809005.

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Baimetova, E. S., M. R. Koroleva, and A. A. Chernova. "Application of mathematical modeling methods for solving the problem of optimizing the geometry of the developed external surface of an industrial oil cooler." In FIT-M 2020. Знание-М, 2020. http://dx.doi.org/10.38006/907345-75-1.2020.117.123.

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Для отвода тепла от рабочей жидкости гидравлических систем необходима установка маслоохладителя, геометрия которого напрямую влияет на его эффективность. В данной работе рассмотрены вопросы постановки и реализации вычислительного эксперимента для решения задачи оптимизации конструкции промышленного маслоохладителя.
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Gizzatullina, A. F., M. R. Koroleva, O. V. Mishchenkova, and E. A. Saburova. "Computer simulation as a method for obtaining initial data for machine learning on the example of the conjugate problem of heat transfer of a finned tube." In FIT-M 2020. Знание-М, 2020. http://dx.doi.org/10.38006/907345-75-1.2020.112.117.

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В работе проводится анализ современного состояния проблемы оценки тепло/энергоэффективности теплообменных аппаратов конвективного типа. Представлен подход к формированию базы данных параметров теплообмена оребренной трубки на основе результатов компьютерных исследований для обучения нейронной сети с целью построения функции отклика.
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Himu, Farhan Anan, Khushnur Binte Jahangir, Md Ziauddin Ridoy, Shayantonee Dhar, and Swakkhar Shatabda. "A new effective algorithm for protein chain lattice fit problem." In 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE, 2015. http://dx.doi.org/10.1109/wiecon-ece.2015.7443982.

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Hasan, Najam ul, Waleed Ejaz, Hyung Seok Kim, and Jae Hun Kim. "Particle Swarm Optimization Based Methodology for Solving Network Selection Problem in Cognitive Radio Networks." In 2011 Frontiers of Information Technology (FIT). IEEE, 2011. http://dx.doi.org/10.1109/fit.2011.49.

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Asawarungsaengkul, Krisada, and Wanida Laoraksakiat. "Optimization Approach to Multi-Objective Person-Job Fit Job Assignment Problem." In 2019 Research, Invention, and Innovation Congress (RI2C). IEEE, 2019. http://dx.doi.org/10.1109/ri2c48728.2019.8999938.

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Cao, Dayong, and V. M. Kotov. "A best-fit heuristic algorithm for two-dimensional bin packing problem." In Mechanical Engineering and Information Technology (EMEIT). IEEE, 2011. http://dx.doi.org/10.1109/emeit.2011.6023883.

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Domovic, D., T. Rolich, D. Grundler, and S. Bogovic. "Algorithms for 2D nesting problem based on the no-fit polygon." In 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2014. http://dx.doi.org/10.1109/mipro.2014.6859732.

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Reports on the topic "Problem of fit"

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Stephens, Michael A. Computer Problems in Goodness-of-Fit. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada211411.

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Ito, Takatoshi, and Masahiro Yamada. Did the Reform Fix the London Fix Problem? National Bureau of Economic Research, 2017. http://dx.doi.org/10.3386/w23327.

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Evans, David R. Career Pilots - One Fix for the Pilot Retention Problem. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada192791.

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Watkins, John E. Overland Combat Search and Rescue: A Real Fix to an Old Problem. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada236670.

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Copes, Donald L. Bark scoring problem grafts in five Douglas-fir seed orchards: a case history. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1989. http://dx.doi.org/10.2737/pnw-rn-487.

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Schock, Alfred, Chuen T. Or, and Heros Noravian. Uniform Fin Sizes versus Uniform Fin Root Temperatures for Unsymmetrically Obstructed Solar Probe RTGs. Office of Scientific and Technical Information (OSTI), 1991. http://dx.doi.org/10.2172/1033351.

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Noble, David. A Cognitive Description of Collaboration and Coordination to Help Teams Identify and Fix Problems. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada467861.

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North, Lee M. The United States Army and the Sergeant Problem: The Army's Systemic Inability to Produce Enough Sergeants and a Proposal to Fix it. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada611978.

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Osejo, Alejandra, Ana María Garrido, Juana Alvarez, et al. Guía para la caracterización de la gobernanza en paisajes rurales. Edited by Alejandra Osejo. Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, 2019. http://dx.doi.org/10.21068/cssbgobernanza2019.

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Abstract:
Este documento contiene definiciones, procedimientos y protocolos para el diseño y ejecución de estudios de gobernanza ambiental en paisajes rurales. Se enmarca en un enfoque desarrollado el Instituto Humboldt denominado transiciones socioecológicas hacia la sostenibilidad, las cuales son entendidas como procesos de gestión de la biodiversidad basados en acuerdos entre los actores sociales con el fin de modificar las trayectorias de cambio indeseado en los ecosistemas y la sociedad. El objeto de esta guía es orientar el diseño y ejecución de estudios de gobernanza en paisajes rurales que sustenten procesos de construcción de dichos acuerdos. Para tal fin, basados en los enfoques de la gobernanza adaptativa, reflexiva, deliberativa y coproducida, se definen conceptos como sostenibilidad, justicia ambiental y equidad. Adicionalmente se presenta definiciones acerca del paisaje como categoría analítica y se presentan líneas de indagación asociadas a las cuestiones fundamentales de la gobernanza. En consecuencia con el marco conceptual, se detallan los pasos para el desarrollo de dichos estudios, incluyendo orientaciones para la formulación del problema y la pregunta de investigación.
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Elacqua, Gregory, Isabel Jacas, Thomas Krussig, et al. Sistemas centralizados de asignación escolar: guía de implementación. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003362.

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En el último tiempo, gracias al desarrollo de la literatura de algoritmos de asignación y emparejamiento, se comenzó a expandir el uso de sistemas centralizados de asignación de cupos para estudiantes, tanto para solucionar los problemas que se generan en los procesos tradicionales de matrícula, como para hacerlos más transparentes, eficientes y equitativos. Sin embargo, la mayoría de los países todavía posee sistemas descentralizados, los cuales son una suerte de caja negra para las familias e incluso para los gobiernos. En ese sentido, esta guía entrega una mirada general acerca de cómo implementar un sistema centralizado de matrícula. Para hacerlo, es importante tener claras cuatro etapas: 1) diagnóstico y planificación; 2) definiciones generales; 3) desarrollo de la plataforma; y 4) intervenciones de información y campañas comunicacionales. A estas se les suma una quinta relativa a la evaluación y mejoramiento, que busca identificar los puntos de optimización de la implementación para ajustarlos en el siguiente proceso. En la etapa de diagnóstico y planificación se evalúa el sistema actual de asignación escolar para que el nuevo sistema se adapte a la idiosincrasia del territorio en donde se implementará por primera vez. Se considera el grado de centralización que se tiene actualmente en el proceso de matrícula escolar, y se determinan los problemas a solucionar. Además, se considera la infraestructura técnica y física ya desarrollada. En la etapa de definiciones y lineamientos generales se determinan los objetivos de política pública que busca alcanzar el nuevo sistema y cada uno de los componentes que forman su estructura, como es el mecanismo de asignación y las prioridades, entre otros. Luego, estas definiciones se materializan en las normativas que los países deben desarrollar y en la etapa de desarrollo de la plataforma, donde los postulantes podrán registrarse y explorar las distintas instituciones educativas a su disposición, para luego realizar sus postulaciones. La etapa de intervenciones de información y campañas comunicacionales es una etapa continua a lo largo del proceso, constituye una instancia de apoyo a las familias basada en campañas comunicacionales y herramientas de entrega de información personalizada. Esta etapa responde a una necesidad propia de la instalación de un nuevo sistema centralizado, donde el éxito depende de cómo los usuarios logran entenderlo y realizar sus postulaciones de manera exitosa. Para ello, es preciso entregarles la mayor cantidad de información posible y de la mejor manera, para así garantizar su comprensión. Por último, se lleva a cabo una etapa de evaluación y mejoramiento, que aun cuando no se aborde como una sección por sí misma en esta guía, es importante tenerla en mente a lo largo de todo el proceso. Se identifican puntos de mejora en las cuatro etapas anteriores y se realizan los ajustes necesarios para la próxima implementación del sistema. Luego de llevar a cabo el piloto de un sistema centralizado, se da paso a un nuevo proceso de mejora continua, investigación y escalamiento. En este se considera la evaluación y puntos de mejora que se identifican de la primera implementación, junto con la realización de estudios e investigación sobre todo del proceso, a fin de planificar su escalamiento paulatino a nivel nacional.
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