Hasil untuk "math.DS"

Mauricio Feijó Benevides de Magalhães Filho, Joaquim Escola

The advancement of technologies and the enormous volume of available data have made Data Science (DS) indispensable for addressing complex social issues. In the public sector, Evidence-Based Public Policies (EBPP) seek to support decisions through data analysis, increasing transparency and governmental effectiveness. However, the adoption of Data Science in public policy faces obstacles such as data quality, the need for collaboration between different areas, and institutional resistance. This article proposes the BEPP-DS methodology, which structures the entire process—from problem identification to policy evaluation—with a focus on transparency, reproducibility, and scalability. The model serves as a reference for governments wishing to use data science to build more effective policies, promoting the use of artificial intelligence, advanced analytics, and citizen engagement in data governance.

Hadi Kasmaja DS DS, Suradi Suradi, Rosidah Rosidah

Penelitian ini bertujuan untuk mengungkap konsep-konsep geometri yang terdapat pada rumah adat Bola Pa’borongan milik masyarakat adat Suku Kajang di Kabupaten Bulukumba, Sulawesi Selatan. Metode penelitian yang digunakan ialah penelitian kualitatif dengan pendekatan etnografi. Teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa arsitektur rumah adat Bola Pa’borongan memuat berbagai konsep geometri seperti konsep garis, sudut, bagun datar (persegi, persegi panjang, segitiga, trapezium), bangun ruang (balok, limas, kubus), serta transformasi geometri. Bentuk-bentuk tersebut tidak hanya memiliki fungsi struktural, tetapi juga mengandung makna filosofis tentang keseimbangan, kesederhanaan, dan harmoni dengan alam yang dijunjung tinggi oleh masyarakat Suku Kajang. Rumah adat ini dapat dijadikan media pembelajaran kontekstual untuk mengenalkan konsep geometri kepada siswa SMP melalui pendekatan etnomatematika.

Mohammad Enayati, Jean-Pierre Gazeau, Hamed Pejhan et al.

Maitra SN

Jammy Seigha Guanah

Rathish R U, Venkatraman G, Dhanajeyam T

National Cancer Institute

National Cancer Institute

Donbas State Machine-Building Academy, V.G. Kolesnyk

The work presents the theory of decomposition schemes as a scientific theory. It’s attributes – paradigm, field of research, aim of research, main task, decision method, basic theory model – decomposition scheme were described. Practical aim of the theory is to suggest the mechanism of applied algorithms generation (not machine code). It is shown that the decomposition scheme as a description changes the algorithm description and still remains declarative on the contrary to the algorithm description as imperative. Thereby the decomposition scheme is the description, original for algorithms’ generation. The kinds of decomposition schemes and operations on them have been described. Algorithmically relevant factors which should be considered when generating algorithms in order the algorithms turned real have been described. Working over formalization and mathematical description of the phenomena and objects of the theory of the decomposition schemes have been described here. The mechanism for control of conclusions and results of the theory has been suggested. This work also describes the direction of development of the theory of the decomposition schemes. The priority direction relates to the creation and development of the system of capacious notion and abstractions. From the point of view of the practical application of the theory of the decomposition schemes there the approach which is alike to the one used in machine-building – development and promoting of hi-tech when required – as a result of the targeted research has been suggested.

v patel

v patel

S. Weiler

P. Barker, R. Hedberg