Miracle-dz/UniFAR-FTUs huggingface dataset:
FREQUENCY OF INTESTINAL PARASITES IN PATIENTS ATTENDED AT A UNIVERSITARY HOSPITAL IN MACEIÓ, STATE OF ALAGOAS, BRAZIL FREQUÊNCIA DE PARASITOS INTESTINAIS EM PACIENTES ATENDIDOS EM UM HOSPITAL UNIVERSITÁRIO EM MACEIÓ, ESTADO DE ALAGOAS, BRASIL

The aim of this study was to analyze the parasitological tests of a population at a public hospital in Maceió-AL. A descriptive study was made between January and July of 2015 analyzing the parasitological tests of a population at a public hospital in Maceió-AL. Variables such as gender, age, positive tests, protozoan species, helminths species and parasitic associations were analyzed. Out of 1.581 tests, 806 (51%) tested positive. Regarding gender, 535 (67%) were from women. Helminths were the most predominant infections (63.94%), compared to protozoans (36.06%). The Helminths with the highest number of infections were: Ascaris lumbricoides (93.23%), Trichuris trichiura (2.32%) and Enterobius vermicularis (1.26%). Among protozoans, Endolimax nana and Entamoeba coli corresponded to 78.09% and 15.91% respectively. Although non pathogenic, it suggests fecal contamination. According to the degree of parasitism, 84.0% were monoparasitism. It can be concluded that the number of positive tests for enteroparasites was high, mainly in men. The species A. lumbricoides was the main helminth detected, while E. nana was the main protozoan found in the tests. The age group between 24 and 59 years old was the one that had the highest amount of positive tests. The results observed strengthen the need for the implementation of prevention measures for intestinal parasitic infections.
Selective Precipitation of Alkaline Earth Metal Cations with Dipicrylamine Anion: Structure–Selectivity Correlation

Salts of dipicrylamine anion and alkaline earth metal ions are highly soluble in water, unlike the salts formed with K+, Rb+, and Cs+. We report here that when DPA– is added to a solution containing Mg2+, Ca2+, Sr2+, and Ba2+, Ba2+ can be precipitated out with high yield and selectivity by optimizing the concentrations. When [DPA–] = 0.17 M and the molar ratio of each metal ion to DPA– is 1:1, Sr2+ and Ba2+ are precipitated out in about 90 % overall yield (with respect to DPA–) and 85 % selectivity of Ba2+. Salts of Mg2+ and Ca2+ are virtually absent. Single-crystal XRD of the pure Sr2+ and Ba2+ compounds has been performed. Layered structures are observed with clear evidence that the salts exist in the form of complexes with the composition [M(DPA)2(H2O)4]. This is different to the case of alkali metal ions, where the complexes have no coordinated water molecules. The Ba2+ complex has a more compact layered structure than the Sr2+ complex, with reduced exposure of the polar entities. As a result it would be expected to have relatively lower solubility in water, which would account for its selective precipitation over the Sr2+ complex. That it is legitimate to rationalize the precipitation behavior from the structure deduced by single crystal XRD is verified due to the close similarity between the experimental powder XRD data of the precipitate and the simulated powder XRD pattern obtained from the single-crystal data. (© Wiley-VCH Verlag GmbH & Co. KGaA, 69451 Weinheim, Germany, 2006)
THE EFFECT OF GOOD CORPORATE GOVERNANCE AND TAXAVOIDANCE TO FIRM VALUE

The purpose of this study is to analyze the effect of Good Corporate Governance which is proxied by Institusional Ownership, Managerial Ownership, Proportion of Independent Comisioner, and Audit commitee and tax avoidance which is proxied by Cash Effective Tax Rate to Firm Value which is proxied by Tobin‘s Q. This study uses companies listed to Kompas100 Index for July 2016- February 2017 period in 2010-2015. This study uses Quantitative Research Method. This study uses Multiple Regression Analysis with Eviews version 9. Based on hypotesis test results, Cash Effective Rate, Institusional Ownership, Managerial Ownership, Proportion of Independent Comissionary, Audit Commitee have effect Firm Value. Partially, Cash effective tax rate have no significant effect on firm value as well as Managerial ownership, Proportion of Independent commisionary, and Audit Commitee. In this study only Institusional Ownership has an effect significantly with firm value.
The magnetic field particle–hole excitation spectrum in doped graphene and in a standard two-dimensional electron gas

The particle–hole excitation spectrum for doped graphene is calculated from the dynamical polarizability. We study the zero and finite magnetic field cases and compare them to the standard two-dimensional electron gas. The effects of electron–electron interaction are included within the random-phase approximation. From the obtained polarizability, we study the screening effects and the collective excitations (plasmon, magneto-excitons, upper-hybrid mode and linear magneto-plasmons). We stress the differences with the usual 2DEG.
Comparative study between three different plating techniques in management of mandibular angular fractures. A Retrospective Study

Aim of Study: was to compare both clinically and radiographically between the three-dimensional plates, 2.4 reconstruction plates and superior border Champy's single miniplate fixation in the treatment of mandibular angle fractures. Materials and Methods: The study enrolled patients who suffered from mandibular angle fractures, presented to the outpatient clinic of the oral and maxillofacial surgery department, faculty of dentistry, October 6 University as well as to the emergency unit of October 6 University Hospital. Patients were divided into 3 equal groups; Group I where open reduction and internal rigid fixation (ORIF) was performed by using 3 Dimensional miniplates through an intra-oral approach assisted by transbuccal trocar. Group II where ORIF was performed by 2.4 reconstruction plate through an extra-oral Risdon approach. Group III where ORIF was performed using single superior border Champy's miniplate through an intra-oral approach. Follow up were scheduled 1 week then 1,3 and 6 months post-operatively. Intra-operative outcomes included: ease of accessibility, ease of adaptation, need for post-operative IMF and approach related complications. Results: Statistical analysis of this study concluded that (Group I) presented statistically significant lower infection rate and lower possibility of sensory and motor nerve affection (Group I) and (Group II) presented proper occlusion, more segment stability and fracture rigidity in the treatment of mandibular angular fractures in comparison to (Group III). Conclusion: The 3D plates demonstrated a superior advantage over the 2.4 Reconstruction plates of ease of insertion transbuccally avoiding any extraoral cutaneous scars, lower infection rates and negligible possibility of facial nerve affection.
Analytical Application of Silver Composite Electrode

Silver composite electrode prepared from silver and graphite powder and meth-acrylate resin presents a suitable sensor for the voltammetric measurements. Cathodic polarization of this electrode enables the determination of nitrates, nitrites, organic nitro compounds, and halide ions. The use of this electrode in differential pulse anodic stripping voltammetry enables the direct determination of lead in natural water samples without the elimination of the presence of surface-active substances or the dissolved oxygen. The effect of under potential deposition at the composite electrode differs from that effect produced by metallic silver electrode mainly at low concentrations of the deposited metal.
Exploring New Cathode Materials to Enable High Energy Magnesium Batteries

18th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Engineering, Integration, and Alliances for a Sustainable Development” “Hemispheric Cooperation for Competitiveness and Prosperity on a Knowledge-Based Economy”, 29-31 July 2020, Buenos Aires, Argentina.
Efficiency of a Combined Fitness Program for Improving Physical Condition in Young Women

The purpose of this study was to evaluate the effectiveness of a combined exercise program focused on the improvement of young women’s physical condition. Materials and methods. The study involved 62 healthy women (an average age of 29.4 years). More than 50 parameters were assessed (anthropometric indicators, physical capacity and motor abilities, functional status of the cardiorespiratory system, etc.). The structure of physical condition of the women was identified using the factor analysis. The transforming experiment lasted for 14 months. Results. The physical development indicators had the largest contribution (33.4%) to the total variance of physical characteristics of the subjects. The second factor related to the functional state and physical performance accounted for 21.6%, the third factor related to coordination abilities accounted for 19.8%, and the fourth factor related to physical fitness accounted for 10.3% of the total variance. Those four factors explained 85.1% of the total variance. The 35 indicators, which were selected by the factor analysis and characterized the women’s physical condition, were used as criteria for the effectiveness of the proposed exercise program. Participation in the exercise program significantly affected the morphological status of women. Functional indicators of the cardiovascular system improved significantly, including resting heart rate decreased by 16.2% (p < 0.05). Muscle strength increased by 32.2% (p < 0.05), speed and strength endurance and speed endurance increased by 31.5% and 49.1%, respectively (p < 0.05). Exercises targeting coordination abilities lead to improvements in balance ability of women as assessed by the Romberg test (increase by 94.0%, p < 0.05) and by the Flamingo test (increase by 65.6%, p < 0.05). Conclusions. The study confirmed the effectiveness of the combined exercise program according to selected criteria. There were significant (p < 0.05) positive changes in physical condition components including physical development, physical fitness, functional state of the cardiorespiratory system and in body balance.
Comparison of Two Defuzzification Methods of Mean of Max and Central Average in Morphology of Composition Functions in Persian Sentences

Morphology has a special place in any language, including written and spoken applications. Markov method is used to labeling and determine the role of words. Emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of between 0, 1. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian language were specified based on the fuzzy logic ’ s capability to resolve ambiguity. In two defuzzification methods Mean of Max, Central Average, the role of words in the sentence is identified and the success rate of each method is obtained. Finally, Mean of Max with a success rate of 64% proved to be a defuzzifier delivering the best output among two different defuzzification methods.
Management of Model School Curriculum in Public Elementary Schools

Curriculum management is an aspect that affects the success of learning in national education. The research objectives are to describe: (1) the management of the school curriculum model including planning, organizing, implementing, monitoring, and evaluating, and (2) the determinants of the success and failure of curriculum management in model schools. This study followed a qualitative approach through interviews, observation, and documentation. Then the data were analyzed by cross-site analysis. The findings of SDN Bakarangan 1 and SDN Pematang Karangan Hulu are that 2013 curriculum planning includes activities to internalize culture in every learning activity. Through organizing the team building. The implementation uses thematic learning activities. Supervision is carried out by the supervisor of the Education Office and the principal. Evaluation, namely, evaluating the process as an analysis of constraints in the curriculum and evaluating learning outcomes. Constraint factors at SDN Bakarangan 1 are teacher understanding, carrying capacity, and determination of minimum completeness criteria (KKM). The success of curriculum management on site 1 is achievement management, active teachers in participating in development activities, and an internal school quality assurance team as guardians in the culture-based 2013 curriculum activities. Obstacles at Pematang Karangan Hulu Elementary School are the lack of understanding of teachers; the principal appointed himself as the team leader; and active participation of the community and parents. Success factors through providing teacher development training, increasing carrying capacity, the active role of school members, and teacher readiness. Suggestions to the principal, as input and development to the principal for impact schools; for teachers, as guidance material in implementing and developing model school curriculum management in curriculum structure and learning programs.
Effects of Chronic Bottom Trawling on the Size Structure of Soft-Bottom Benthic Invertebrates

Chronic bottom trawling reduces benthic biomass, but it is generally unknown whether this represents a decrease in numbers of individuals or their mean body size. Because this distinction provides insight into the mechanisms of disturbance and recovery, we investigate the matter here. Using comprehensive historical effort data, adjacent untrawled (UT) and heavily trawled (HT) areas were identified along the boundary of a long-standing no-trawl zone in Bristol Bay, a naturally disturbed offshore area of the eastern Bering Sea. The study site was shallow (44–52 m) with a sandy substrate, ubiquitous bottom ripples, and strong tidal currents. A modified research trawl was used to collect 42 HT–UT paired samples of benthic infauna and epifauna. These data were used to compare mean sizes (kg) of 16 invertebrate taxa. On average, 15 of these taxa were smaller in the HT area, and the overall HT–UT difference in body size was statistically significant (P = 0.0001). However, individually, only the whelk Neptunea spp. (P = 0.0001) and Actiniaria (P = 0.002) were significantly smaller in the HT area after correcting for multiple tests. Mean size of red king crabs Paralithodes camtschaticus was 23% greater in the HT area (P = 0.17). Supplemental length–frequency data indicate that substantially fewer small red king crabs, rather than more large individuals, occupy the HT area (P = 0.0001). Finally, a large number of within-year, within-taxon comparisons of mean body size were made using 1982–2001 U.S. National Marine Fisheries Service trawl survey data collected in the same closed area. Overall, these comparisons indicate natural variability of body size in UT areas is large relative to the observed HT–UT differences due to chronic bottom trawling. Since active fishing in the HT area occurred 3 or more years before our field sampling program, our findings reflect conditions associated with an intermediate level of recovery.
A balance-congruity model

Identity salience is defined as the activation of a particular identity dimension within an individual’s social self-schema and typically heightens sensitivity to identity-relevant stimuli. For example, being at work (home) might increase the salience of one’s organizational (family) identity. In addition, being consciously or non-consciously exposed to symbols, words, pictures, ideas, brands or people can increase the salience of any identity related to these cues. Indeed, identity salience generally follows consumer evaluation of relative similarity or dissimilarity (cf. Eiser et al. 2001, Forehand et al. 2002). Interestingly, some instances of this self-categorization process may undermine one’s basis for identification. (e.g. if one’s ethnic identity salience is increased by exposure to a threatening stereotype prime). Although such self-categorizations can threaten the consumer’s identification with a group, the literature shows both approach behaviors, such as seeking high-status products when power identity is threatened (Rucker and Galinsky 2008) and avoidance behaviors, such as shunning gender-associated products after gender identity is threatened (White and Argo 2009, White et al. 2012), are possible. Given these mixed findings, the extant literature would greatly benefit from a theoretical exploration of when identity salience is threatening and what factors determine whether such threats prompt approach or avoidance. To illuminate these issues, we propose a model of identity salience and threat that intentionally defines threats in terms of specific associations. For example, when a man hears a statements like “all men are pigs” the association of his gender with positive valence is threatened. On the other hand, when he is told “you are a poor excuse for a man” his association of self with male is challenged without saying anything positive or negative about being a man. As we will show conceptually, analyzing the threat in terms of specific associations enables more refined theoretical predictions for when and why threatening salient identities can produce identity approach or identity avoidance. In addition, the proposed model identifies important mediating mechanisms yet to be examined.
TRAINING OF GENERAL WORKING PHYSICAL SKILLS OF YOUNG ADULTS WITH INTELLECTUAL DISABILITIES THROUGH AN INTEGRATED PHYSICAL CAPACITY PROGRAM

The article describes a quasi-experiment that lasted 3 months and an integrated physical capacity training (IPCT) program, a diagnostic assessment of general working physical abilities using the Ergos IITM Work Simulator system. The results of the study reveal the impact of the IPCT program on the change of general work physical abilities and the assessment of subjective efforts of young adults with intellectual disabilities.
MEASUREMENT AND PREDICTION OF DYNAMIC DENSITY

This paper describes results of a multi-year, multi-organizational research initiative related to the measurement and prediction of sector level complexity called Dynamic Density (DD). The researchers first identified a number of candidate DD measures. They then identified eighteen 30-minute traffic samples from each of four selected en route Air Route Traffic Control Centers (ARTCCs). At each ARTCC, they collected complexity ratings at two-minute intervals for each traffic sample from approximately 70 air traffic controllers and supervisors. Using the traffic and sector data, various DD variables were computed. Using a linear regression method, the relationships between different DD variables and complexity ratings were determined. A unified DD metric composed of variables from several organizations performed the best. The results indicated that DD represents instantaneous sector complexity better than aircraft count, which is the currently used method. The results also indicated that the prediction of complexity using DD is somewhat better than the prediction using aircraft count most likely due to the inherent inaccuracy of predicting aircraft count.
Effects of land use and forest management on soil carbon in the ecoregions of Maryland and adjacent eastern United States

The impacts of forest-related land use and management on soil organic carbon (SOC) stocks have been investigated through years of primary research and review articles. This attention is justified given the importance of land use and management to greenhouse gas mitigation, soil and forest productivity, and other ecosystem services. However, there is a gap of scale and scope between site-level studies that control for sources of variation, producing high-confidence results for limited locations, and the broad reviews that offer more general conclusions. The present analysis is intended to fill that gap. Here, we focus on six ecoregions of the eastern United States, and integrate meta-analysis of published literature with synthesis of geo-referenced soil observations to: (1) test whether common land use and management practices quantitatively impact SOC; (2) identify key sources of variation in these effects; (3) assess how sources of variation translate to decisions about land use and management at ecoregional to landscape levels. Results corroborate general trends, such as O horizon SOC losses with harvesting and fire and SOC gains during reforestation, but provide greater detail about the influence of specific practices and site-level controls on SOC stocks and change in the study region. Results also show that: (1) harvest impacts depend upon landform and soil taxonomy; (2) harvesting forests that are recovering on previously cultivated lands decreases SOC; (3) tree biomass and SOC recovery increase concurrently during reforestation; (4) specific harvest, site preparation, and fire management practices affect the magnitude and variability of changes in SOC. Perhaps more importantly, ecoregional classification and soil taxonomy provide spatial frameworks for placing quantitative estimates of SOC stocks and changes in the geographic context of the study region, providing greater detail and specificity for individuals and institutions concerned with SOC management at more localized levels.
ECG signal classification based on Deep Learning by using Convolutional Neural Network (CNN)

Abstract– Cardiovascular Diseases (CVDs) are consider main cause of death today a according to World Health Organization (WHO). Because ECG signal is very important tool in monitoring and diagnosis of these disease , different automatic methods are proposed based on this signal. The manual analysis of ECG signals is suffered different challenges such as differeculty of detecting and classify waveform of this signal, So, many machine learning methods are explored to describe the anomalies ECG signal accurately . Deep learning (DL) can be used in ECG classification, it can improve the quality of the automatic classification system. In this paper , We have proposed a deep learning classification system using different layers of convolution, rectifier and pooling operations that can be used to increase feature extraction of ECG signal. We have proposed two models, one is used 1-D signal , in which we designed model for classification csv type of data for ECG signal, while in the second proposed system, we used model for 2-D signal after convert it from its csv type . 2-D signal (ECG image) is used in order to augment the two dimensional signal with different methods to increase the accuracy of the model by training it with geometric transformation of the original input images such as rotation, shearing etc. The results are compared with AlexNet and other models based on different metrics, which are used to measure performance of proposed work, the result show that, proposed models improves efficiency of the classification in the two systems.