Miracle-dz/UniFAR-FTUs huggingface dataset:
GESTIÓN DE LOS RECURSOS HÍDRICOS: COMPARACIÓN DE LOS

This document constitutes a legal and comparative review in order to establish a comparative framework on the historical background of the water code, the national water resource policy, the instruments associated to management, the institutional aspects, and basin management between Chile and Brazil. A critical analysis of the results was performed, especially on aspects of the Chilean water resources management, where it is recognized that first of all, a complete diagnosis should be performed on the state of the legislation, in order to determine its deficiencies and to work toward its improvement and update. Regarding the institutional perspective, the current public structure relative to water and liquid residues should be rethink, for the purpose of eliminating the redundancy of functions and to advance towards institutions specializing in the subject of water and capable of viewing and working on the resource from a multisectorial perspective. The institutional approach is fundamental to achieve an integrated management of basins that may allow users to maximize the sustainable use of the water resource, delegating the administration and organization to a unique agency with attributes of enforcement and control. Finally, it is fundamental (due to the nature of the water in Chilean code as a national resource of public use), to precede the different processes of acquisition and usage of water rights by a system of information and participation of the citizens and the local communities, particularly the ones immediately affected by the resources that would undergo regulations.
A Framework of Mutual Information Kullback-Leibler Divergence based for Clustering Categorical Data

Clustering is a process of grouping a set of objects into multiple clusters, so that the collection of similar objects will be grouped into the same cluster and dissimilar objects will be grouped into other clusters. Fuzzy k-means Algorithm is one of clustering algorithm by partitioning data into k clusters employing Euclidean distance as a distance function. This research discusses clustering categorical data using Fuzzy k-Means Kullback-Leibler Divergence. In the determination of the distance between data and center of cluster uses mutual information known as Kullback-Leibler Divergence distance between the joint distribution and the product distribution from two marginal distributions. Extensive theoretical analysis was performed to show the effectiveness of the proposed method. Moreover, the proposed method's comparison results with Fuzzy Centroid and Fuzzy k-Partition approaches in terms of response time and clustering accuracy were also performed employing several datasets from UCI Machine Learning. The experiment results show that the proposed Algorithm provides good results both from clustering quality and accuracy for clustering categorical data as compared to Fuzzy Centroid and Fuzzy k-Partition.
Economic impact of the clinical pharmacist interventions in the pediatric intensive care unit

Introduction: The clinical pharmacist in the intensive care unit is involved in the aspects of patient safety, technical guidance for the team care and cost saving with rational use of medicines. Objective: This study aims to estimate the cost saving with of the clinical pharmacist interventions in the pediatric intensive care unit (PICU). Methods: This was a retrospective, observational study. The cost saving was measured over three months based on (1) Clinical pharmacist interventions from the prescriptions analysis. (2) Individualized doses of four antibiotics. (3) Comparison of drugs dispensing system between the period before and after the decentralization of pharmacy services. The main outcome measure is costs saving with strategic planning for the rational use of medicines, based on local reality. Results: 173 clinical pharmacist interventions were carried out, from 13 interventions we could calculated the economic impact, resulting in an estimate cost saving of the US$ 633.38/year. Cost saving from individualized doses of four antimicrobials was US$ 8,754.46/year. The decentralization of the pharmacy service resulted in a cost saving of US$ 28,770.52/year. Conclusion: The clinical pharmacist in the pediatric intensive care unit results in cost saving. Clinical pharmacist interventions, antimicrobials individualized doses and decentralization of pharmacy services reduce costs in the hospital.
265 Andonovska Biljana.vp

Background: Intensive care units (ICU) are often the epicentre of development of infections caused by multidrug resistant (MDR) organisms. Purpose: The aim of our study was to determine the prevalence and types of ICU-acquired infections, pathogens associated with such infections and to determine the antibiotic resistance pattern of the presented pathogens. Material and methods: In the study were included 130 patients hospitalized into the surgical ICU of the University Clinic for Anesthesiology and Intensive Care in Skopje in period of 2 months, April -Jun, 2017. , who developed infection after at least 72 hours of their hospitalization. In all of them the pathogens and their antibiotic resistance pattern were identified. Results: Twenty of 130 (15.4%) patients developed ICU-acquired infection. Most common infections were pneumonia (50%) and surgical site (30%) infections. Gram-negative organisms were more common isolated than Gram-positive organisms (83% vs.17%). The most common isolated bacteria were Acinetobacter species (30, 41.7%) and Pseudomonas aeruginosa (15, 20.8%). All isolated species were MDR organisms resistant to the most used antibiotics like Cephalosporins, Gentamicin, Ciprofloxacin and Clindamycin. Pseudomonas aeruginosa and Acinetobacter species were sensitive to Colistin, Methicillin-resistant Staphylococcus aureus (MRSA) to Vancomycin and Linezolid and Enterococcus only to Linezolid. Klebsiella pneumoniae and Proteus mirabilis showed low resistance only to Amikacin and Carbapenems. Conclusions: Our study obtained local data about the prevalence and types of ICU-acquired infections, types of pathogens and their antibiotic resistance pattern. Based on this knowledge, clinicians can choose appropriate antibiotics, avoiding antibacterial drug overuse and MDR bacteria development.
Role of leptin in preeclampsia

Preeclampsia is a hypertensive disorder complicating pregnancy and an important cause for both maternal and fetal morbidity and mortality in developing countries. The prevalence of preeclampsia is 2-8% of all pregnancies worldwide. Preeclampsia is characterized by maternal hypertension, edema and proteinuria. These symptoms develop after 20 weeks of gestation and disappear within 7-10 days post partum. The pathogenesis of preeclampsia is still not completely understood and is explained based on the mechanisms involving endothelial dysfunction, inflammation and oxidative stress. Preeclampsia can complicate pregnancy leading to eclampsia that is the onset of convulsions in woman with preeclampsia which cannot be attributed to any other cause. There are two stages of preeclampsia; first stage of hypoxia due to reduced placental perfusion caused by defective trophoblastic invasion and second stage of maternal systemic manifestations constituting of inflammatory response, metabolic and vascular dysfunction which can lead to multiorgan dysfunction.
Prevalence of metabolic syndrome in Brazilian children using three different sets of international criteria Prevalencia del síndrome metabólico en niños brasileños utilizando tres diferentes criterios internacionales

Results: the prevalence of metabolic syndrome was 2.27 % (Boney and Ferreira criteria) and 7.58 % (Cook criteria) for girls, and 3.8 % (Boney and Ferreira criteria) and 5.06 % (Cook criteria) for boys. Agreement in pairs showed a concordance of 57.5 % (Kappa = 0.57) between Boney and Cook criteria, and 65.2 % (Kappa = 0.65) between Cook and Ferreira. The greatest concordance found was 77 % (Kappa = 0.77) between Boney and Ferreira criteria, demonstrating a substantial agreement.
Research on the Influence of Financial Shared Service on Enterprise Investment Efficiency and Equity Financing Cost——Taking ZTE as an example

This paper selects ZTE’s financial data from 1999 to 2019 as a sample and analyzes the changes in investment efficiency of enterprises in different stages of the implementation of financial shared services with the help of the investment efficiency model, and compares it with the industry as a whole. Then use the capital asset pricing model to study the impact of investment efficiency changes on corporate equity financing costs. The results show that the introduction of the financial shared service center has indeed improved the investment efficiency of ZTE Corporation, especially when the shared service is in the growing period, it has a more significant effect on the improvement of investment efficiency. At the same time, when ZTE’s investment efficiency is high, the expected return rate required by investors decreases, and the cost of equity financing of the company will also decrease. Otherwise, the cost of equity financing of the company will increase.
Amphibian diversity and distribution in KMTR (Southern Western Ghats) of Tirunelveli district, Tamil Nadu

The present paper deals with amphibian diversity at KMTR (Southern Western Ghats) of Tirunelveli district during the study period from June 2018 to March 2019. A rapid survey method was involved in careful visual estimation and amphibians were recorded in all possible habitats of the study area. A total of 17 species of amphibians belonging to 5 families and 12 genera were recorded. The study reveals that the cultivation area is rich in amphibian diversity and support many more species. Further studies are needed on population structure, habitat use by amphibians for better understanding and also to impose several conservation strategies at KMTR in Tirunelveli.
Kinetic Studies of the Glycerolysis of Urea to Glycerol Carbonate in the Presence of Amberlyst-15 as Catalyst

Amberlyst-15, a strong acidic ion-exchange resin, has showed as a potential and an effective catalyst for the glycerolysis process of urea to glycerol carbonate. In this work, the kinetic model of the urea glycerolysis over Amberlyst-15 catalyst was investigated. The kinetic model was developed by considering simultaneous steps of urea dissolution in glycerol, mass transfer of urea and glycerol from the bulk of the liquid into the outer part of the catalyst, diffusion of urea and glycerol into the inner part of the particle through the catalyst pores, and irreversible second order reaction of urea and glycerol on the active sites. The irreversibility of second order reaction of urea glycerolysis was validated and proven. The proposed kinetic model was simulated and validated with the experimental data. The kinetic studies show that mechanism proposed works well. Furthermore, the activation energy was found to be 145.58 kJ.mol−1 and the collision factor was in 8.00×1010 (m3)2.kg−1.mol−1.s−1. The simulation result shows that the predicted liquid temperatures were close to the experimental temperature data. It also gave glycerol concentration profile inside the catalyst particle as a function of glycerolysis time and position. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
BIOSSENSORES PARA O MONITORAMENTO DA EXPOSIÇÃO A POLUENTES AMBIENTAIS

This article presents a critical review of the literature about the biosensor technology. The principles of this new analytical approach, its main unique characteristics and the multiple configurations or types developed, as well as a suitable definition for this class of analytical systems are evaluated. The various applications of the biosensors in several areas, specially for the monitoring of environmental pollutants (e.g. pesticides, metals, phenol, nitrite, endocrine disruptors, etc.) hazardous to human health, and the future perspectives in this filed are discussed.
The Role of Human Resource Management Practices on Palm Oil Firm’s Performance in Malaysia with Mediating Role of Organizational Learning Capabilities and Moderating Role of Organizational Support

Human resources practices are the essential elements for high organizational performance and attain recent researchers' focus. Therefore, the current study aims to examine the role of human resource practices such as selection, training, and compensation on the firm performance of Malaysia's palm oil industry. The examination of mediating role of organizational learning capabilities and the moderating role of organizational support among the nexus of human resource practices and firm performance of palm oil industry in Malaysia is also part of the study's objectives. The data has been collected by using questionnaires, and PLS-SEM was used for analysis. The results revealed that all the predictors such as selection, training, and compensation have positive nexus with firm performance. The results also exposed that organizational support moderated the nexus of selection, training, and firm performance while organizational learning capabilities have positively mediated the nexus of selection, training, compensation, and the palm oil industry's performance in Malaysia. These findings are valuable for the policymakers who maintain the regulations related to the human resource practices that enhance firm performance.
Factors influencing Employee Engagement in Public and Private Sector Banks in Chhattisgarh

Employee involvement is regarded by many as a modern human resource strategy that helps companies to deal with volatile and turbulent market conditions. However, the research community in the banking industry is still searching for predictors of employee engagement. In Chhattisgarh, the banking sector is regarded as a place to work that respects the needs of each individual employee while also inspiring them to achieve their individual goals. The aim of this study was to highlight the needs of various individuals as well as the organization's expectations. Understanding generation Y (Gen Y) specific characteristics, desires, and aspirations, which are critical in today's context, is emphasised. Understanding how Gen Y workers act and what motivates them, as well as how they vary from Gen X employees, is a major focus. Better results are achieved by banks that are eager to understand their customers' needs and willing to support their employees' growth. A standardised questionnaire was used to collect data from 412 respondents in selected cities of public and private sector banks in Chhattisgarh. In addition, the element "work satisfaction" is used to examine individual personal differences in the organization's success.
A Novel Approach: Effective Compressive Sensing in Power Network Problem

: A sparse power matrix is a type of two-dimensional data that conveys the amount of electric power each node, connected to an electric power meter sensor. The need for sensors increases in large power networks. This is problematic due to the increase in the number of sensors resulting in increased costs, the installation is more complicated, attenuation of sensor power, and requires maintenance. In order to reduce the use of sensors and increase the effectiveness of power to the sensors, electrical power measurements can be carried out at certain nodes. This also increases performance due to an efficient communication channel bandwidth and reduces power system data storage. This paper estimates the minimum required sensors on a power grid using compressive sensing (CS). The present study proposes a novel reconstruction algorithm for CS, the effective-OMP (E-OMP), to address this power network problem. E-OMP determines the minimum number of sensors in use. The study simulations reveal that E-OMP can save power from sensor use and preserve storage space. The proposed reconstruction algorithm generates NMSE less than 0.05 and has guaranteed high reconstruction accuracy compared to other ones (OMP, IRLS, and L1 reconstruction algorithms.
Energy Saving Task Scheduling Based on Optimized Ant Colony Algorithm in Cloud Environment

In a cloud environment, the majority of computational power requirements are concentrated in the cloud, resulting in higher energy consumption for data centers. A method of reducing energy consumption while also reducing the time span of task scheduling has become an urgent problem to be solved. In this paper, an optimal ant colony scheduling algorithm combined with a genetic algorithm is proposed, and an energy consumption factor is introduced into the algorithm. Experiments show that this algorithm can effectively improve the time efﬁciency of task scheduling and reduce energy consumption.
THE STUDY ON TRANSPIRATION AND WATER USE EFFICIENCY OF SHOREA PARVIFOLIA UNDER ELEVATED CARBON DIOXIDE CONCENTRATION IN THE TROPICAL FOREST

Tropical forest plays an important role in gas exchange regulation. It is interesting to know how plants respond to a changing environment especially fluctuation in carbon dioxide. How would this fluctuation affect their transpiration and water use efficiency (WUE) at the leaf level? Plants leaf is subjected to water deficit and therefore show different response in physiological parameters. Much as we know that the fluctuation of WUE at leaf levels is directly related to the physiological processes which control the gradients of water and carbon dioxide between the leaf and air surrounding the leaf. This paper will report the preliminary results of the physiological measurement of Shorea parvifolia sapling under the elevated carbon dioxide concentration in Tekam Forest Reserve, Pahang.
THE POSSIBILITY OF LINKING SPONTANEOUS AND INDUCED NEUROCOGNITIVE PLASTICITY: CAN COGNITIVE TRAINING INFLUENCE COMPENSATORY BRAIN ACTIVITY IN OLDER ADULTS? THEORETICAL AND EMPIRICAL PREMISES

One of the most important determinants of successful aging is cognitive ability. Although cognitive decline is a well-documented phenomenon characteristic of aging, it is acknowledged that aging can also be related to cognitive neuroplasticity that allows one to compensate the decline and adapt to it. Cognitive neuroplasticity may be spontaneous or induced by external influences. An example of the former is compensatory brain activity in older adults, and the latter – improvement in cognitive functioning under the influence of cognitive training. Both the compensatory brain activity of older adults and the effectiveness of cognitive training in this age group have already been extensively studied. However, it has not yet been examined whether they can be linked. The article indicates theoretical and empirical premises for the possibility of influencing compensatory brain activity in older adults by cognitive training. In the most comprehensive way the phenomenon of compensatory brain activity in older adults is addressed by the STAC model – the Scaffolding Theory of Aging and Cognition, which also provides the theoretical grounds for the possible impact of cognitive training on compensatory brain activity. There are also empirical arguments in favour of such an impact, but they are quite limited in nature. The reason for this is the lack of research directly addressing the problem of the consistency of brain activity changes resulting from cognitive training with the assumptions of compensatory brain activity models, such as STAC. The theoretical grounds for the linkage of compensatory brain activity in older adults with the influence of cognitive training are clear. However, the analysis of the studies discussed in the article suggests that failing to embed the study design within the theoretical framework of compensatory brain activity in older adults may lead to the exclusion of factors important in drawing conclusions about this phenomenon. The following elements of the study design were identified as necessary to include: participation of young adults in the study as a reference group, usage of tasks in different difficulty levels during the measurement of brain activity and consideration of the relation between brain activity and cognitive performance, and comparison of brain activity in relation to cognitive performance before and after training in both, older and young adults.
Correlation Between Storage Device and Backup and Restore Efficiency in MS SQL Server

The importance of the process of restoring a database requires precise examination of all factors that affect it. Considering the decline of the price of SSD and its better read and write speeds, it seems that this is the logical choice when reducing downtime is a primary concern for the organization. This paper categorizes storage devices in use as well as main backup types in MS SQL Server. Tests are conducted to evaluate the impact of the storage device on backup and restore efficiency. In this regard, the purpose of the research is to examine problems associated with selection of a storage device for efficient backup and restore in MS SQL Server. The conducted tests showed some surprising results regarding SSD's efficiency. The reason these findings are important is that they could be used as a guideline for choosing proper storage device for an organization's needs.
Lead (II) ions induce the transformation of a collection of Citrate-Capped Gold Spherical Nanoparticles into large Nanotriangles

Spectral changes associated to physicochemical alterations in a colloidal system are key in nanosensor design for decentralized analyses. Citrate-capped spherical gold nanoparticles in basic medium interact with lead (II) ions to give rise to different products depending on the molar concentration ratio nanoparticles/lead (II). For low values of this ratio, lead (II) ions act as charge shield forming ionic associations. For intermediate values, lead (II) ions coordinate to carboxylate moieties from citrate, inducing aggregation of the nanosystem. Finally, for the higher values, a redox reaction is favoured leading to the deposition of PbO2 on the nanoparticle surface, thus causing changes in the UV/VIS/NIR spectra compatible with the formation of nanotriangles. Transmission Electron Microscopy confirms this shape change and the incidence of the incident rays in the vacuum chamber on the sample confirm the selective melting of the formed PbO2 layer.
Influence of Fenugreek Seeds (Trigonella Foenum Graecum) on Blood Parameters, Kidney, Liver and Mammary Gland Function for Parturited Aissi Ewes

Waleed Mohammad Hassan Technical Institute-Shattra Drwaleed.hassan. q@facebook.com Abstract The fenugreek seeds in diet of parturited Aissi sheep (2-3 years age) are studied to determine their influence on blood parameters, liver, kidney, and mammary gland functions . Twelve experimental treatments are carried out, control group (T1) is fed diet, composed of barely 50% wheat bran 25%, wheat flour 15% molasses 5%, urea 2% lima stone 1%, common salts 1% and nutrition complement 1%. Second group (T2) is fed as (T1) ration with 10gm fenugreek / head / day. Third group (T3) is feeds as (T1) in addition to 20gm fenugreek head / day. The results indicated that RBCs, WBCs and Hb conc. values are significantly (P<0.05) higher in (T2) and (T3) than control group (T1). No significant differences among treatments are found in PCV and MCV. Total protein, albumin and globulin are significantly (P<0.05) effected by adding fenugreek in (T2) and (T3) comparing with control group (T1). The results also show that glucose and cholesterol in (T2) and (T3) decrease significantly (P<0.05) as compared with control group (T1). No significant difference among treatments are found in all AST, ALT enzymes, urea and creatinine. (T2) and (T3) recorded the best values milk quantity during sucking periods comparing with those control group (T1). From previous results, it could be concluded that fenugreek seeds should be used as milk yield increasing agent.