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Published February 8, 2024

Data & Metadata

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Edited By:

Editorial Salud, Ciencia y Tecnología

Title:

Data and Metadata

ISSN-L: 2953-4917

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2024-03-30 Original
Social Capital in Small Industrial Firms and Its Link with Innovation

By Edith Georgina Surdez Pérez, María del Carmen Sandoval Caraveo, Maribel Flores Galicia

Introduction: Social Capital in organizations is an intangible asset that represents the favourable relationships that exist between work teams, within an organization and externally, to different interest groups.
Objective: This study examined the link between internal relational social capital (RSC) and external RSC with innovation in small industrial firms in Tabasco, Mexico. There was also an inquiry into how much internal RSC and external RSC explain innovation.
Methods: The design was nonexperimental, cross-sectional, descriptive, correlational, and explanatory. Linear regression analysis was used.
Results: Significant positive relationships was identified between internal RSC and external RSC and innovation. The internal RSC and external RSC contributed significantly to the explaining of innovation. Areas of opportunity were identified for these firms in process design and formal research activities for new raw materials, production procedures and patent generation. Conclusion: To promote innovation, managers of small industrial companies must continue to establish strategies and practices to strengthen RSC.

2024-02-08 Reviews
Overview on Data Ingestion and Schema Matching

By Oumaima El Haddadi, Max Chevalier, Bernard Dousset, Ahmad El Allaoui, Anass El Haddadi, Olivier Teste

This overview traced the evolution of data management, transitioning from traditional ETL processes to addressing contemporary challenges in Big Data, with a particular emphasis on data ingestion and schema matching. It explored the classification of data ingestion into batch, real-time, and hybrid processing, underscoring the challenges associated with data quality and heterogeneity. Central to the discussion was the role of schema mapping in data alignment, proving indispensable for linking diverse data sources. Recent advancements, notably the adoption of machine learning techniques, were significantly reshaping the landscape. The paper also addressed current challenges, including the integration of new technologies and the necessity for effective schema matching solutions, highlighting the continuously evolving nature of schema matching in the context of Big Data.

2024-06-22 Systematic reviews or meta-analyses
Literature review on artificial intelligence in dyeing and finishing processes

By Mostafa Elkhaoudi, Mhammed El Bakkali, Redouane Messnaoui, Omar Cherkaoui, Aziz Soulhi

The finishing process in the textile sector is recognized as one of the most complex. This complexity arises from the diversity of structures, the multiple steps involved, the use of complex machinery, the variety of materials, chemicals and dyes, and the need to combine creativity and precision. Therefore, it is crucial to have tools that can improve efficiency, flexibility, and decision-making in this complex area. This literature review aims to provide relevant information on the use of digital engineering in the field of textile finishing. In this review, we used a systematic literature review methodology to examine how digital engineering is applied in the dyeing and finishing process. The data for this study was collected from reputed databases such as Science Direct, IEEE Xplore, Textile Research Journal and Google Scholar. We used the Prisma framework to select relevant articles, which led to the exclusive inclusion of journal articles in our literature review. A comprehensive framework has been developed to understand the impacts of using digital engineering. The approach presented in this framework provides a comprehensive and highly effective approach to addressing the complex challenges associated with ambiguity, modifications and subtleties frequently observed in the ennobling process. The results of various studies explored different aspects, such as properties of textile materials, chemicals and dyes, performance of finishing machines, organizational performance of finishing companies, as well as health concerns and safety at work. Although these studies have provided valuable solutions, they unfortunately remain insufficient to meet the requirements of the finishing process, which remains a complex area characterized by uncertainties, variations, and subtleties inherent to the practice. This particularity of each dyed and finished product promotes an environment conducive to experimentation and continued research.

2024-05-28 Short communications
Blockchain Technology in Digital Identity Management and Verification

By Edith Mariela Quispe Sanabria, Julio Cesar Pizarro Avellaneda, Edward Eddie Bustinza Zuasnabar, Ana Mónica Huaraca García, Lizet Doriela Mantari Mincam, Hilario Romero Giron, Yesser Soriano Quispe

This study analyzes the potential of Blockchain technology to improve security and privacy in the management and verification of digital identities, aspects that currently face challenges. Through a literature review, it was found that Blockchain offers a decentralized approach that provides greater control to users over their data through cryptographic mechanisms. The cases examined demonstrate benefits such as efficiency and automation in identity processes. However, further research is required to address pending challenges and achieve widespread application considering the particularities of each context. The objective is to analyze how this technology can positively transform the way digital identity is managed in an inclusive and privacy-respecting manner.

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