1,990 research outputs found

    Classifying astronomical sources with machine learning

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    Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutors: José Maria Solanes Majúa, Maria Salamó LlorenteMore than 4 million astronomical sources extracted from the Sloan Digital Sky Survey catalog have been used to train a set of machine learning models, selected with a benchmarking program, in order to identify the best basic classifier of astronomical sources for future observations. We have also applied different filters to our dataset that modify its selection function, measuring the accuracy of the selected model to evaluate under which observational constraints this model performs bette

    Fenomenología e Historia: ¿Una eidética de la res histórica?

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    Rasgos del italiano en la lengua de Colón

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    El trabajo que presentamos pretende ser un acercamiento al estudio de un grupo de rasgos lingüísticos que permitan profundizar en el posible origen de Cristóbal Colón. Como es bien sabido, todavía a principios del siglo XXI se sigue discutiendo sobre la nacionalidad del Almirante, ya que para buen número de estudiosos Colón es oriundo de la República de Génova, pero otros muchos sitúan su nacimiento en la península ibérica: en España o en Portugal.Departamento de Lengua EspañolaGrado en Español: Lengua y Literatur

    La teoría de bóvedas en el siglo XVIII: la contribución de Philippe de la Hire

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    La teoría de bóvedas en el siglo XVIII: la contribución de Philippe de la Hir

    Modeling Sustainable Supply Chain Management as a Complex Adaptive System: The Emergence of Cooperation

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    The aim of this chapter is to characterize sustainable supply chain management as a complex adaptive system (CAS) and develop an evolutionary game theory-based model to understand how cooperation emerges from interactions among companies to adopt sustainable management practices. We consider two interacting populations 1 and 2, each one with heterogeneous companies belonging to the same supply chain. One population is expected to behave cooperatively in adopting sustainable management practices while the other is expected to behave uncooperatively. The mathematical model we propose is game-dynamical replicator equations for multiple populations in the prisoner´s dilemma (PD) game and we implement it using NetLogo software. The proportion of cooperative companies in each population that adopt sustainable management practices evolves positively over time as companies only imitate the adoption of sustainable management practices in their own population and in the populations of their partners when the benefit obtained by cooperating is maximum. The spatial patterns observed help us to clarify the preconditions for the emergence of cooperation among companies in managing material, information and capital flows in a sustainable way. Finally, our simulation results show that the sustainable management of supply chains needs to be studied as CASs, in order to take into account the social side of sustainability

    PENERAPAN MODEL PROBLEM BASED LEARNING UNTUK MENINGKATKAN KEMAMPUAN MEMBUAT MODEL MATEMATIKA SISWA SMP

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    Penelitian ini dilatarbelakangi bahwa kemampuan membuat model matematika adalah salah satu kemampuan yang penting untuk menghadapi kehidupan sehari-hari. Berdasarkan hal tersebut, penelitian ini bertujuan untuk meningkatkan kemampuan membuat model matematika dengan suatu model pembelajaran yang memiliki struktur pembelajaran yang sistematis dan disukai oleh siswa. Problem based learning merupakan suatu pembelajaran yang sistematis dengan lima tahap yang sederhana. Pembelajaran ini kemudian diimplementasikan kepada siswa kelas VII SMP di salah satu sekolah di Bandung. Metode penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan kuasi eksperimen dan kualitatif dengan teknik penilaian menggunakan rubrik penilaian. Desain penelitian ini menggunakan dua kelas yang merupakan kelas eksperimen yang menerapkan problem based learning dan kelas kontrol yang menerapkan pembelajaran konvensional. Berdasarkan hasil penelitian, diperoleh bahwa peningkatan kemampuan membuat model matematika kelas eksperimen lebih baik daripada kelas kontrol. Siswa pada kelas eksperimen sebagian besar masuk kedalam kategori kemampuan membuat model matematika yang lebih baik daripada siswa pada kelas kontrol yang sebagian besar termasuk dalam kategori rendah. Selanjutnya bahan ajar problem based learning yang telah dikembangkan ini dapat diterapkan ataupun dikembangkan kembali untuk penelitian selanjutnya Kata kunci: Kemampuan Membuat Model Matematika, Problem Based Learning This research is motivated that the ability of make mathematics model is one of the important ability to cope with everyday life. Accordingly, this research aims to increase the ability of make mathematics model with a learning model that has a systematic learning structure and preferred by students. The problem based learning is a systematic approach to the five stages are simple. This learning model is then implemented to class VII JHS at one JHS in Bandung. The method used in this research is quantitative with quasi experiment and qualitative data collection techniques through with rubric assesment. The research desain is use two class, this class is experiment class with problem based learning and other class is control class with convensional learning. Based on the results of the study, found that an increase in ability of make mathematics model in class experiment better than control class. More than half student of experiment class include to high category better than student of control class with more than half student in this class include to low category. Furthermore, the results of the implementation learning model with the revised problem based learning that allows it to continue to be developed for next research. Keywords: Ability of Make Mathematics Model, Problem Based Learnin
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