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The document “Feasibility Study for the Implementation of Number Portability in Nicaragua” proposes the mechanisms to implement operator Number Portability, taking into account the ITU-T Series Q and E regulations. The existing information is analyzed, after the collection of information through interviews with operator officials, as well as surveys of users of telephone services. After reviewing the advantages and conditions of the different techniques to implement number portability, we recommend the All Call Query technique, a simple and effective method, as well as operator Number Portability, for which you need intelligent network capabilities to recognize the ported number, the status, the conditions and the operator must develop activities to adapt their networks to this model. The documents that legally and regulatory support the implementation of Number Portability are: Administrative Agreement No. 036-2003, the Numbering Resource Regulations and the National Numbering Plan, all of these issued by TELCOR Regulatory Entity, the Free Trade Agreement between the Dominican Republic - Central America and the United States (DR-CAFTA) and the Regional Technical Telecommunications Commission of Central America, COMTELCA The elaboration of regulatory documents such as the Number Portability Regulation is proposed and indications are given for the creation of the Centralized Database Administrator with its subordinates in the different nodes that make up the network and a proposal for a General Implementation Plan.

This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essential. This paper presents a hybrid model based on the transformer framework and utilizing an API for an existing large language model (LLM)/chatbot. This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. This approach improves accuracy in natural language processing and ensures both high efficiency and adaptability. Therefore, this paper not only provides a technical solution to a prevalent problem but also highlights the potential for the continued development and integration of emerging technologies in education. The aim is to create a more efficient, transparent, and accessible educational environment. The importance of this research lies in its ability to streamline material access, benefiting the global scientific community and contributing to the continuous advancement of educational technology.

PastureBase Ireland (PBI) is a web-based grassland management application incorporating a dual function of grassland decision support and a centralized national database to collate commercial farm grassland data. This database facilitates the collection and storage of vast quantities of grassland data from grassland farmers. The database spans across ruminant grassland enterprises – dairy, beef and sheep. To help farmers determine appropriate actions around grassland management, we have developed this data informed decision support tool to function at the paddock level. Individual farmers enter data through the completion of regular pasture cover estimations across the farm, allowing the performance of individual paddocks to be evaluated within and across years. To evaluate the PBI system, we compared actual pasture cut experimental data (Etesia cuts) to PBI calculated outputs. We examined three comparisons, comparing PBI outputs to actual pasture cut data, for individual DM yields at defoliation ( Comparison 1 ), for cumulative annual DM yields including silage data ( Comparison 2 ) and, for cumulative annual DM yields excluding silage data ( Comparison 3 ). We found an acceptable accuracy between PBI outputs and pasture cut data when statistically analyzed using relative prediction error and concordance correlation coefficients for the measurement of total annual DM yield ( Comparison 2 ), with a relative prediction error of 15.4% and a concordance correlation coefficient of 0.85. We demonstrated an application of the PBI system through analysis of commercial farm data across two years (2014–2015) for 75 commercial farms who actively use the system. The analysis showed there was a significant increase in DM yield from 2014 to 2015. The results indicated a greater variation in pasture growth across paddocks within farms than across farms. [ABSTRACT FROM AUTHOR]

Abstract: Management of antiretroviral (ARV) drug and HIV patients data is an important component of Vietnam Administration of HIV/AIDS Control (VAAC) Department and hospitals/health care units when people often travel in other places of Vietnam; therefore, it would lead to a number of medical errors in treatment as well as patients do not adhere to ARV therapy. In this paper, we describe a system that manages and shares antiretroviral therapy information of 4438 HIV patients in three healthcare centers in Hanoi capital of Vietnam. The overall design considerations, architecture and the integration of centralized database and decentralized management for the system are also presented. The findings from this study can serve as a guide to consider in the implementation model of health care to manage and share information of patients not only in HIV infection, but also in the other chronic and non-communicable diseases. [Copyright &y& Elsevier]

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