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integrando tecnologías como Organizaciones Autónomas Descentralizadas DAO, contratos
inteligentes Smart Contracts) y comunicación entre procesos IPC, utilizando un frontend Flex
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Hacia una Plataforma Editorial Científica Descentralizada.

ApplicativeDo tries to remove the monad binds where possible when desugaring Haskells' do-notation. It does this by looking at inter-statement dependencies and connecting them with applicative operations when possible; this introduces implicit parallelism in the code. Deciding which structure to generate is tricky, since many different are usually possible. Currently, this is solved with simple minimum cost analysis with an unit cost model, assuming each statement takes the same amount of time to evaluate. By extending the cost model inside the ApplicativeDo algorithm for variable evaluation costs, we perform smarter generation of code by prioritising parallelisation of heavy statements.

At Facebook, Marlow et al. developed Haxl, a data-fetching library that can use applicative structure in expressions for free parallelism. To our knowledge, it is the only library that can do automatic parallelism on applicative expressions. We observe significant wall-clock speedups in many cases when running benchmarks with Haxl, compared to the original ApplicativeDo-desugared programs, given relative costs of statements.

The ApplicativeDo extension is agnostic to the source of costs, but one way of providing them is investigated as optional weight annotations on do-statements. This works well when the relative costs are known, but this kind of run-time estimation is notoriously difficult, particularly in Haskell. We suggest different directions for future work relating to sources of costs.

Better Implicit Parallelism Improving ApplicativeDo Heuristics Through Weight Annotations MSc thesis in Computer Science: Algorithms, Language and Logic

Organizations in post-conflict or underserved regions grapple with chronic unemployment, deficient infrastructure, and eroded institutional trust. Conversely, non-state armed groups (NSAGs) like the Taliban, ISIS, and Hezbollah exhibit striking efficacy in resource mobilization under comparable adversity. This paper investigates adapting their operational strategies-stripped of unethical elements-through an ethical lens to foster sustainable employment. Analyzing militant groups' recruitment, logistics, governance, and training reveals adaptable tactics for community-centric workforce development. This research proposes a novel synthesis of resilience studies, peacebuilding, and labor economics, applying ethical innovation.