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Designing lookahead relocation rules for the container relocation problem with genetic programming
No full textThis work was supported by the Croatian Science Foundation under the project number IP-2022-10-5398, the European Union-NextGenerationEU under the grant NPOO.C3.2.R2-I1.06.0110., and the Spanish Government under projects MCINN-23-PID2022 and TED2021-131938B-I00
Tree search hyper-heuristic with application to combinatorial optimization
Get PDFIn this study, we investigate using the state space search paradigm to construct heuristics in the form of Priority Rules for combinatorial optimisation problems. This is
an alternative to Genetic Programming (GP) and other hyper–heuristics, which represent the most common approach currently used. To do that, we define the problem
of designing heuristics as a Constraint Satisfaction Problem and then exploit AnyTime Depth-First Search to solve it. To limit the effective size of the search space, we
introduced a set of powerful pruning mechanisms, some embedded into the problem
definition as constraints, while others by means of constraint propagation procedures.
To further reduce the search space, we propose a heuristic procedure that allows the
algorithm to discard some non-promising PRs, at low computational cost. The proposed approach, termed Systematic Search and Heuristic Evaluation (SSHE), was
evaluated on two hard combinatorial optimisation problems, namely the One Machine
Scheduling Problem with time-varying capacity (denoted by (1,Cap(t)|| Tj)) and
the classic Travelling Salesman Problem. The results of the experimental study show
that SSHE is quite competitive with GP in building PRs; in particular, the PRs obtained
by SSHE and GP showcase similar performance, but the ones produced by SSHE have
generally lower size and so better readability than the PRs produced by GP
Capítulo 3. Las personas vulnerables ante las organizaciones: el valor de la orientación y los itinerarios de formación
Get PDFSistema Web de información sobre datos RDF y shapes de datos RDF
Get PDFSThis Master's Thesis proposes the development of a web-based application designed to
facilitate the editing, validation, and collaborative management of RDF data and shape
languages such as ShEx and SHACL. The project aims to evolve the existing RDFShape Client, an
open-source tool developed by the WESO research group, by introducing real-time
collaborative editing capabilities and modernizing its front-end architecture.
The proposed application, referred to as RDFShape Client v2, will be built using React and
TypeScript (TSX), replacing the original JavaScript-based implementation. It will integrate the
Yjs library to enable multiple users to collaboratively edit RDF documents and shape
definitions in real time. The system will maintain compatibility with the existing RDFShape API
back-end, focusing development efforts on the front-end layer to improve usability,
modularity, and maintainability.
Key technical objectives include the migration to a statically typed codebase, the integration of
collaborative editing in CodeMirror-based editors, and the adaptation of the YASHE editor to
support ShEx syntax within a modern React environment. The project will also define a testing
strategy and developer documentation to ensure the long-term sustainability and extensibility
of the application.
Through this work, RDFShape Client v2 is expected to become a robust and user-friendly tool
for the Semantic Web community, supporting advanced data modeling, validation, and
collaborative workflows
Progress in end-to-end optimization of fundamental physics experimental apparata with differentiable programming
No full textLow type-2 immune effectors modulate atopic diseases' protective role in pancreatic cancer risk
No full textTriggering on muon showers in the barrel muon trigger of the cms experiment for the hl-lhc upgrades
No full textWetting properties of five low-melting mixture solvents based on glycerol
Get PDFThe authors are grateful to the Asturian Agency for Science, Business Competitiveness and Innovation (SEKUENS), grant number: IDE/2024/000686, under whose aegis this research was conducted. The authors also acknowledge the Ministry of Science, Innovation and Universities for supporting the research stay (ref.: CAS23/00184) of Marlene Bartolomé at the Rochester Institute of Technology (New York, USA) under the framework of the program “José Castillejo”
Exploring mathematics teacher educators’ knowledge through in- service mathematics teachers’ perceptions
Get PDFMathematics Teacher Educators (MTEs) play a crucial role in advancing effective mathematics education, as they are responsible for preparing future mathematics teachers. In recent years, increasing attention has been paid to investigating MTEs’ professional knowledge. However, most existing research has focused primarily on self-studies, wherein MTEs examine their own knowledge and practice, often without considering the perspectives of other professionals. This study addresses this gap by exploring how In-Service Mathematics Teachers (ISMTs) perceive the knowledge that characterizes “good” MTEs. Data were collected via open-ended written interviews with ISMTs working at various school levels and from different regions throughout Italy. The analysis was conducted using the Mathematics Teacher Educator Specialized Knowledge (MTESK) model and an inductive approach was employed to identify additional dimensions of MTEs’ knowledge not initially included. Findings
indicate that ISMTs value not only strong mathematical understanding and pedagogical content knowledge but also relational, communicative, and affective qualities such as empathy, motivation, and the ability to foster collaborative learning environments. Furthermore, professional teaching experience and familiarity with mathematics education research were identified as important factors contributing to MTE effectiveness. Notably, ISMTs’ perceptions revealed some ambiguity in distinguishing knowledge intended to support teachers from that aimed at students, and highlighted tensions between the theoretical knowledge emphasized by MTEs and the practical, concrete support ISMTs seek. This study contributes to the understanding of MTEs’ professional knowledge by incorporating the perspectives of those they train, thus illuminating often undervalued affective and experiential aspects. The findings offer significant implications for the design of teacher education programs to better address ISMTs’ needs and enhance professional development.This work was supported by projects PID2024-155358NB-100 of the Spanish State Research Agency and GRUPIN-IDE/2024/000713 of the Asturian Agency for Science, Competitiveness and Business Innovation SEKUENS. Pablo Giadas is funded by the University of Oviedo’s PAPI-22-PF-18 project
La sociedad de beneficio e interés común. Reconocimiento legal y propuestas lege ferenda en España
Get PDFEl compromiso respecto de cuestiones sociales y ambientales ha ido progresivamente integrándose en el propósito corporativo de las empresas. Cabe destacar el papel esencial que las entidades de economía social han desarrollado al respecto, dado que la función social se inserta directamente en la causa del contrato. Además, está irrumpiendo con fuerza un nuevo modelo de empresa que, a partir del norteamericano de las benefit corporation, integra el que se ha dado en llamar el “cuarto sector”. Se trata de sociedades mixtas que, junto con la consecución de un ánimo de lucro, persiguen fines de interés general y que, en España aún pendientes de desarrollo reglamentario, se encuentran previstas en la Ley 18/2022, de 28 de septiembre, de crecimiento y creación de empresas, como sociedades de Beneficio e Interés Común