Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethics and Public Health: definition of priorities in the Mexican Health Reform

The purpose of this paper is to discuss one of the most common ethical predicaments faced by public health practitioners: the distribution of limited resources for health. The question we address is the following: If there are limited resources to provide necessary health care, how can we reasonably establish priorities? We discuss this question using as reference a real-life situation, which was the establishment of priorities in the design of a package of high-cost interventions for Seguro Popular in Mexico, a public insurance scheme that extended social protection in health to over 50 million people between 2003 and 2018. The main conclusion of this paper is that the use of explicit ethical assumptions in the design of public policies contribute to their acceptability and eventual success.
Epidemiological, clinical and psychometric aspects of Autism spectrum disorder among children in Zagazig University hospital

Background:Autism spectrum disorder (ASD) is a severe psychiatric disorder of childhood comprised severe troubles in verbal, non verbal communication, language development, repetitive limited patterns of behaviors and obsessive resistance to small changes in familiar surrounding. Aim to assess role of epidemiological, clinical and psychiatric determinants as risk factors of ASD. Methods: A case control study was recruited on 72 ASD children attending psychiatric outpatient clinic and 72 healthy children. Their caregivers completed a questionnaire about risk factors for ASD. Then they underwent complete assessment of mental age using Stanford-Binet intelligence scale, childhood autism rating scale to outline severity of ASD in cases and exclude presence of autistic features in controls.Results:There is a statistically significant difference between both groups regarding mother,and father education, fathers’ age at conception, family history of psychiatric disorders, history of induction of ovulation, hypertension during pregnancy, folic acid supplementation during 1st trimester of pregnancy, use of anti D, history of postnatal hypoxia, admission to NICU and feeding type. A significant difference between them concerning reaction to others and delayed developmental milestones was found. About 63% and 58% had severe autism and mild to severe mental retardation respectivey. Paternal age, positive family history of psychiatric diseases, postnatal hypoxia significantly increased risk of ASD. Folic acid supplementation during 1st trimester of pregnancy significantly decreased risk.Conclusion: Family history of psychiatric disorders, Advanced fathers’ age at conception, postnatal hypoxia were significant risk factors. Folic acid supplementation during 1st trimester is a significant protector
Enhancement the Performance of the Tracking and Clustering in Tweets Data Stream using Naïve Bayes Classification Algorithm

: The main aim of this project is finding the repeated activities in a social network. The different post that are continuously posted by a user in the twitter. The text information arriving continuously arriving over the time in the form of text stream are predicted and clustered for analysis. This project will track what type of information that continuously arriving in social media and the people interest. All the operations are going to be performed on the twitter dataset. The dataset which consisting of Twitter users and their tweets.This model is proposed to analyse the contagion dynamics that emerge in networks when repeated activation is allowed, that is, when actors can engage recurrently in a collective effort. In this project, the k-means clustering algorithm is used for clustering the users based on their interest and Naïve Bayes classification algorithm is used for classifying the users. And also in this project we can track the interest of the particular result. This project will increase the accuracy of the overall prediction results.
Looking for the Maximum Independent Set: A New Perspective on the Stable Path Problem

The stable path problem (SPP) is a unified model for analyzing the convergence of distributed routing protocols (e.g., BGP), and a foundation for many network verification tools. Although substantial progress has been made on finding solutions (i.e., stable path assignments) for particular subclasses of SPP instances and analyzing the relation between properties of SPP instances and the convergence of corresponding routing policies, the non-trivial challenge of finding stable path assignments to generic SPP instances still remains. Tackling this challenge is important because it can enable multiple important, novel routing use cases. To fill this gap, in this paper we introduce a novel data structure called solvability digraph, which encodes key properties about stable path assignments in a compact graph representation. Thus SPP is equivalently transformed to the problem of finding in the solvability digraph a maximum independent set (MIS) of size equal to the number of autonomous systems (ASes) in the given SPP instance. We leverage this key finding to develop a heuristic polynomial algorithm GREEDYMIS that solves strictly more SPP instances than state-of-the-art heuristics. We apply GREEDYMIS to designing two important, novel use cases: (1) a centralized interdomain routing system that uses GREEDYMIS to compute paths for ASes and (2) a secure multi-party computation (SMPC) protocol that allows ASes to use GREEDYMIS collaboratively to compute paths without exposing their routing preferences. We demonstrate the benefits and efficiency of these use cases via evaluation using real-world datasets.
Study of corporate governance in government hospitals: A case study of the emerging market

How to cite this paper: Agnihotri, A. , & Arora, S. (2021). Study of corporate governance in government hospitals: A case study of the emerging market. Corporate Governance and Sustainability Review, 5(1), 8-14. https://doi.org/10.22495/cgsrv5i1p1 Copyright © 2021 The Authors This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). https://creativecommons.org/licens
Stabilization of chemical and biochemical characteristics of grass straw and leaf mix during in-vessel composting with and without seeding material

Abstract Grass straw and leaf mix (GL) were composted in-vessel with and without seeding material. Changes in pH, CO2-evolution rate (CER), and the microbial biomass in terms of total extractable lipid phosphate (TELP) contents were monitored until 150 d. The microbial biomass contents were nearly stabilized at about 0.11 mmol TELP kg-1 DM from the 60th day onward. The CER decreased gradually with the progression of composting and became stable also from the 60th day onward at around 1 g CO2-C kg-1 DM d-1. On the contrary, the pH increased gradually until the 40th day and then became stabilized at about 8.8 during the remaining period of composting. The characteristics of the GL composts (150 d) were compared with those from other ready-composts. The germination indices (GI) of Dia sorghum seeds showed that all the composts were biologically mature. Although the pH varied from compost to compost, microbial biomass of GL and incubated ready-composts was about 0.1 mmol TELP kg-1 DM. Similarly, CER did not e.
STRATEGIC PLANNING AND PERFORMANCE OF STATE CORPORATIONS IN KENYA: THE MODERATING EFFECTS OF FIRM CHARACTERISTICS

Performance of any organization is in actual sense a function of many other factors. A review of literature relating to corporate performance show that strategic planning is an important factor in performance of organizations, however, it is not strategic planning alone that influence the performance of a corporation, firm characteristics, also come into play. The broad objectives of the study was to establish the influence of firm characteristics on the relationship between strategic planning and performance. The study was oriented by the positivist view which uses surveys to verify hypotheses and statistics, especially quantitative statistics for analysis. The population of interest was all state corporations in Kenya . The study employed a descriptive cross-sectional survey design. Data was collected from the top managers using questionnaires. Hierarchical regression analysis, specifically interaction analysis was conducted on the collected data. The study found that firm characteristics have moderating effects on the relationship between strategic planning and performance of state corporations in Kenya. The study has made important theoretical contributions by highlighting the factors that moderate the relationship between strategic planning and performance of state corporations in Kenya. The study has further provided important insight to policy makers, strategic management practitioners and to academicians.
Development of glycomacropeptide (GMP) fortified bio-yoghurt prepared from different probiotic cultures

The objective of this study was to analyze the physico-chemical and sensory attributes of glycomacropeptides (GMP) fortified bio-yoghurt prepared using Bifidobacterium bifidum (BB12), Lactobacillus acidophilus (LA) and combination of these two cultures (1:1 ratio) in short set yoghurt. The milk setting time of GMP fortified bio-yoghurt was decreased by 45 min at 1per cent GMP level when combination probiotic cultures were used as compared to control (without GMP). Addition of 0.25 per cent GMP to bio-yoghurt increased the titratable acidity significantly and controlled syneresis was observed at the same level of GMP. However, further increase in the levels of GMP upto 1 per cent did not show any significant effect on increase in acidity and syneresis. The sensory attributes of bio-yoghurt on 9 point Hedonic scale as evaluated by a panel of 7 judges showed maximum scores at 0.25 and 0.50 per cent levels of GMP in individual and combination probiotic cultures of Bifidobacterium bifidum (BB12), Lactobacillus acidophilus. The sensory attributes such as body and texture, flavour, sourness and overall acceptability of bio-yoghurt prepared from combination of probiotic cultures showed higher scores at 0.25 per cent GMP level as compared to individual cultures and control (without GMP). Addition of GMP to bio-yoghurt has brought significant difference in the physico-chemical properties of bio-yoghurt and improved sensory qualities at lower levels of fortification itself.
Removal of Azo Dye Methyl Orange in Aqueous Solution by Kaolinite Clay: Equilibrium Isotherms, Kinetics and Error Analyses

Decolourisation of wastewater, particularly from textile industries is one of the major environmental concerns these days. The limitations of most of these treatment methods are their high operational and maintenance costs cannot effectively be used to treat wide range of such wastewater. This work describes the use of kaolinite clay as an efficient adsorbent material for anionic azo dye methyl orange removal from synthesized wastewater. Batch adsorption experiment of 200 mgL -1 azo dye methyl orange contaminant removal using kaolinite clay at different stirring speed: 100, 200, 300, 400 and 500 rpm at constant pH4 and contact time of (0 ‒ 180) minutes were investigated, thus, adsorption increases with increase in stirring speed with maximum removal of 69.90% and maximum adsorptive capacity of 3.476 mg/g at 500 rpm. The adsorption equilibrium data were well described by Langmuir>Freundlich>Koble-Corrigan whilst adsorption kinetic data by pseudo second-order>pseudo first-order>intraparticle diffusion>Reichenberg equation in the stated order based on high correlation coefficients and relatively small values of error function analyses (χ 2 , RMSE, NSD and ARE). The adsorption processes were controlled by chemisorption. The potential applicability of Alkaleri kaolinite clay from Northeast-Nigeria could be employed as a low-cost adsorbent alternative to commercial/activated carbon in the removal of azo dye methyl orange from wastewater.
Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification

Recently, convolutional neural networks (CNNs) have exhibited commendable performance for hyperspectral image (HSI) classification. Generally, an important number of samples are needed for each class to properly train CNNs. However, existing HSI data sets suffer from a significant class imbalance problem, where many classes do not have enough samples to characterize the spectral information. The performance of existing CNN models is biased toward the majority classes, which possess more samples for the training. This article addresses this issue of imbalanced data in HSI classification. In particular, a new 3D-HyperGAMO model is proposed, which uses generative adversarial minority oversampling. The proposed 3D-HyperGAMO automatically generates more samples for minority classes at training time, using the existing samples of that class. The samples are generated in the form of a 3-D hyperspectral patch. A different classifier from the generator and the discriminator is used in the 3D-HyperGAMO model, which is trained using both original and generated samples to determine the classes of newly generated samples to which they actually belong. The generated data are combined classwise with the original training data set to learn the network parameters of the class. Finally, the trained 3-D classifier network validates the performance of the model using the test set. Four benchmark HSI data sets, namely, Indian Pines (IP), Kennedy Space Center (KSC), University of Pavia (UP), and Botswana (BW), have been considered in our experiments. The proposed model shows outstanding data generation ability during the training, which significantly improves the classification performance over the considered data sets. The source code is available publicly at https://github.com/mhaut/3D-HyperGAMO.
CONTROLLING THE KINEMATICS OF THE LEFT VENTRICLE TO TREAT RESISTANT HYPERTENSION

The intention of this thesis is to present a novel controller design that eliminates hypertension in patients who suffer from resistant hypertension. The controller is designed by first translating the functionality of the left ventricle (LV) from a biological system to a system of dynamic equations, which is accomplished by defining pressure-rise-rate equations for the LV and aorta. The result is a dynamic model completely describing these pressures in terms of cardiovascular parameters associated with the LV. Using this model, the LV volume is controlled by implementing a first-order dynamic model for the LV. This produces a controller design capable of reducing systolic and diastolic aortic pressures to values that the physician desires; moreover, by defining hypertensive pressures within the cardiovascular system, the controller presented in this thesis demonstrates the effectiveness that controlling LV volume has in reducing aortic pressures to desired values.
Spray Pyrolytic Deposition of CuInS2 Thin Films: Properties and Applications

Spray pyrolysis (SP) method is simple and cost-effective method and is capable of depositing numerous metal oxide and composite thin films with precisely control over the chemical composition and morphology. The physico-chemical properties of the film can be controlled by adjusting the deposition parameters such as substrate temperature, concentration of precursor solution and spray rate, etc. In this paper an intensive review on spray pyrolytic deposition of CuInS2 (CIS) thin films and its use as a light absorbing layer in solar cell have been presented. Due to fascinating optoelectronic properties, the CIS thin films are mostly suited for their application in solar cells. The CIS is one of the promising alternatives material to the firstgeneration solar cells. The advantages like non-toxic elements, suitable energy band gap, high absorption coefficient make it one of the promising candidates in the photovoltaic market. Here, we review studies conducted on the deposition, structural, optical and electrical properties of spray deposited CIS thin films. The performance of spray deposited CIS absorber layer in solar cell is also discussed. In addition, some strategies towards the enhancement of quality of CIS thin-film deliberated in detail.
Aerobik Stabilite için Yeni Silaj İnokülantı Oluşturmak Amacıyla Cellulosimicrobium cellulans β-1,3-Glukanaz Geninin Lactobacillus plantarum’da Klonlanması ve Ekspresyonu

In this study, the recombinant plasmid pTE353-βG was created by inserting the p353-2 cryptic plasmid region of pLP3537 into pTEG5 recombinant plasmid contains pUC18 and β-1,3-glucanase gene of Cellulosimicrobium cellulans. The recombinant plasmid pTE353-βG was then introduced into Lactobacillus plantarum by electroporation. Insert analysis of pTE353-βG digested with SacI produced 1.9 kbp β-1,3-glucanase gene band on agarose gel as well as 1.9 kbp DNA encoding β-1,3-glucanase gene insert amplified on the recombinant vector via PCR indicated the integration of the gene into the plasmid. Recombinant L. plantarum colonies with pTE353-βG on MRS-laminarin-agar plate showed clear positive zones by Congo-red staining that revealed the expression of β-1,3-glucanase encoding gene. The β-1,3-glucanase enzyme of recombinant strain produced the same activity band with C. cellulans enzyme in terms of molecular weight, which showed the activity of secreted protein without any proteolytic degradation. Optimal temperature and pH values of L. plantarum β-1,3-glucanase have been determined 40oC and 6.0 respectively, by enzymatic analysis. These results revealed that recombinant L. plantarum could be considered as a silage inoculant for aerobic spoilage of silage.
Supplemental Material for Info3D

In this experiment, we use the pre-trained weights on ShapeNet dataset and initialize the DGCNN classifier [6] with those weights. We compare the results with randomly initialized weights by showing the test accuracy training curve in Figure 1. Figure 1 shows how having pre-trained weights using our method helps in fast training of the classifier. We achieve 91% accuracy within 3 epochs whereas it takes about 32 epochs for random initialize weights.
CFD ANALYSIS OF AERODYNAMIC DESIGN OF MARUTI ALTO CAR

The choice of car is often made on the basis of fuel efficiency cost and comfort. However for general purpose fuel efficiency is the most important factor that is responsible for the overall popularity of a car of any make fuel efficiency is depend upon the performance of internal combustion engine and also on the aerodynamic design body of the car. Aerodynamic styling of car is one of the most crucial aspects of car design. In compassing task on artful integration of CAD modelling. The objective of the present study is computational fluid dynamics (CFD) analysis of a 3-D car model to find the aerodynamic design parameters. Computational Fluid Dynamics (CFD) is the numerical techniques to solve the equations of fluid flow. CFD tool is found very useful in automobile industry. 3-D solid model of a car of different make will be constructed by using pro-engineering software and the analysis was done on ansys software. The aerodynamic analysis of the design parameters of a car will be performed by using a suitable turbulence model and to find the drag coefficient and drag force of a car (Maruti, Alto etc). The result obtained from CFD analysis will be validated by field/experimental studies and the result of software analysis has agreed excellently with field experimental results.
THE RELATIONSHIP BETWEEN CHIEF EXECUTIVE OFFICER TURNOVER AND FIRM PERFORMANCE, FOR COMPANIES QU OTED AT THE NAIROBI SECURITIES EXCHANGE

The Chief Executive Officer of an organisation is its most senior general manager ( Andrews, 1987) The likelihood of CEO turnover following poor performance is found to be influenced by board structure and ownership structure of the firm. In the case of board structure, it has been widely acknowledged that hoard with small size, high independence, and --eparaw 5ole of CEO and chairman was better in performing its monitoring duty The study sought to establish the relationship between CEO turnover and firm performance, evidence from firms quoted in the NSE. The study adopted a descriptive cross-sectional research design, which was used since the problem was defined specifically and the researcher had certain issue that was described by the respondents about the problem. The population of this study was all the companies listed at NSE, there are 61 companies that are currently listed in the NSE. The sample size was 17 companies listed at NSE which had CEO change in the last few years. Secondary data was collected for this study. The relationship between CEO turnover and firm performance will be tested by logit model. The study revealed that that there exists a positive relationship between CEO turnover and firm performance, this is an indication that CEO turnover/change can be used to enhance the performance of the firm with poor performance. Poor firm performance is found to greatly influence a board of directors’ decision for CEO turnover which include accounting performance, stocks performance, CEO personality, composition of the board of directors, mergers and acquisitions, organizational factors, and auditing. The study also found that the level of turnovers was higher in companies with low corporate performance. The study found that the state of performance prior to the turnovers explained only a small percentage of the variants. They indicated that the relation between variables following a turnover was still weak.
Surface Characteristics and Bioactivity of Oxide Films with Haloid Ions Formed by Micro-Arc Oxidation on Titanium in Vitro

Ti-based implant materials have specific complications associated with their applications because of their unsatisfactory bioactivity. Hence, a surface which displays selective biointeractivity, i.e., enhancing the bioactivity of material but inhibiting pathogenic microbial adhesion, would be highly desirable. The aim of the present study was to investigate the effects of the haloid ions on the bioactivity of Ti oxide film via the micro-arc oxidation (MAO). After MAO treatment, scanning electron microscopy (SEM) and X-ray diffraction (XRD) results showed the titanium surfaces were covered by porous titania of anatase and/or rutile. In simulated body fluid, titanium treated with MAO could induce apatite formation on its surface. SEM and energy dispersive X-ray spectroscopy (EDX) showed there were some particles covered, and the Ca/P, Si, and haloid ions deposited on the surfaces of MAO groups. Our results showed that induction of apatite-forming ability on titanium metal and co-deposition of TiO2 film and haloid ions could be attained by MAO. So it is believed that MAO is an effective way to prepare bioactive titanium and the haloid ions may not have an effect on the bioactivity of the TiO2 film, which can be applied to transcutaneous implant.
Enthalpic Stabilization of Brush-Coated Particles in a Polymer Melt

The interaction between spherical particles covered with end-grafted polymers (brushes) immersed in a polymer melt is studied theoretically. It has been known for some time that two densely grafted brushes may attract each other in the presence of a chemically identical polymer melt. In this study we show that this attraction can be eliminated by choosing the melt material to be such that the Flory interaction parameter of the melt chains with the grafted ones is negative (χ < 0). This effect is accompanied by a change in the structure of the brush from a dry brush, where the melt chains do not penetrate deeply into the brush, to a wet brush, where the melt chains penetrate the brush and force the grafted chains to extend into the melt. Scaling arguments are used to describe how the structure of a single brush depends on the Flory interaction parameter, the grafting density, and the indices of polymerization of the grafted and free chains. The density profiles and the interactions between the particles ar.