Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability and Construct Validity of the edTPA for Music Education

The purpose of this study was to examine the psychometric quality of Educative Teacher Performance Assessment (edTPA) scores for 136 preservice music teachers at a Midwest university. I addressed the factor structure of the edTPA for music education, the extent to which the edTPA fits the one- and three-factor a priori models proposed by the test authors, and the reliability of edTPA scores awarded to music education students. Factor analysis did not support the a priori one-factor model around teacher readiness, or the three-factor model based on the edTPA tasks of Planning, Instruction, and Assessment. Internal consistency was acceptable for all rubrics together and for the Instruction task. However, estimates of interrater reliability fell substantially below those reported by test administrators. These findings indicate the need for revision of the edTPA for music education and call into question its continued use among music teacher candidates in its current form.
ATIVIDADE DA REDUTASE DO NITRATO EM GENÓTIPOS ANTIGOS E MODERNOS DE MILHO, CULTIVADOS SOB DOIS NÍVEIS DE NITROGÊNIO

Centro Nacional de Pesquisa de Milho e Sorgo, EMBRAPA, CP 151, Sete Lagoas, MG, 35700-000, Brasil. RESUMOo objetivo desse experimento foi verificar a existênda de carelação entrea atividadeda redutasedo ntrato (RN) e a p-odutividadede espgas em 15 genótipos de mlho (Zea mays L.) aJltivados no Brasil desde a década de 1940. O experimento foi conduzido no campo, em parcelas subdividdas, com os genótipos nas parcelas e os níveis de 20 kgA1ae 60 kgA1ade N nas subr=arcelas.Cada tratamento fti repetido 3 vezes. As an ostras foIiares r=aradeterrrinação da atividade da RN foram cdhidas aos 3 das antes e 20 e 42 dias depcis do embonecamento de cada genótipo, sempre da mesma folha, o que na primeira amostragem carespondeu à fdha mc:is jovem completamente desem.dvida e oposta à espqa prindJ:BI.As amostragens foram sempre realizadas entre9 e 10 horas da mcnhã. Os resultadosoljidos mostraram que houve ganho genético para produtividade entre os gendipos altigos e modernos utilizados nesse trabalho, e que havia varial:ilidade nos valores de atividade da RN nos três estácios em que as plantas foram amostradas, mas essa atividade não se correlacionou significativamente com a p-odutividadede espgas secas. Observou-se também nesse experimento que apesar da adubação nitrogenada ter aumentado signficalivamente a p-odutividade de espgas, a adutação com esse nubiente nâo teve qualquer efeito na atividade da RN.
Study on Electroosmosis Consolidation of Punctiform Electrode Unit

In the electroosmosis method, when the distance between the opposite electrode and the same electrode is equal, the two-dimensional effect of electroosmotic consolidation is significant, and the use of one-dimensional model will overestimate the potential gradient, making the calculated pore pressure value too large. Aiming at this problem, according to the electrode arrangement rule and the minimum composition, a punctiform electrode unit model is proposed, and electroosmotic experiments are carried out on the symmetric and asymmetric unit models. The two-dimensional electroosmotic consolidation governing equation of the punctiform electrode unit is established. The electric potential field of the electrode unit and the finite element form of the electroosmotic consolidation equation are given by the Galerkin method. The PyEcFem finite-element numerical library is developed using Python programming to calculate. The research results show the following: (1) The two-dimensional effect of the potential field distribution of the punctiform electrode unit is significant. The reduction of spacing of the same nature electrode in the symmetrical unit can make the potential distribution close to a uniform electric field. The asymmetry prevents the electric potential field distribution from being reduced to a one-dimensional model. (2) The number of anodes will affect the electroosmosis effect of the soil. The more the anodes, the better the electroosmosis reinforcement effect of the soil, and the distribution of negative excess pore water pressure will be more uniform. (3) In the early stage of electroosmosis, the more the drainage boundaries, the faster the generation of negative pore pressure, but in the middle and late stages of electroosmosis, the potential value becomes the decisive factor, and the amplitude of negative pore water pressure in asymmetric units is higher than that in symmetric units. The potential distribution will not affect the degree of consolidation but will affect the extreme pore water pressure.
First line antiretroviral treatment failure and associated factors among people living with HIV in northwest Ethiopia

Background Anti-retroviral treatment enhances the immune status and reduces unwanted outcomes. However, development of treatment failure and drug resistance raises concern over lifelong treatments to chronic diseases such as HIV/AIDS. Objectives This study determined proportion of treatment failure (TF) and identified factors associated with TF among people living with human immunodeficiency virus (HIV) in Bahir Dar, Northwest Ethiopia. Methods Facility based cross sectional study was carried out from November, 2017 to April, 2018. Sociodemographic and clinical data were collected using structured questioner. Blood sample was collected and analyzed for viral load, complete blood count (CBC), liver and kidney function test and CD4 count. A patient is declared as treatment failure when viral load value is higher than 1000 RNA copies/ml in two consecutive viral load analyses within three months interval. Data were entered and analyzed using SPSS version 23. To identify factors associated with TF, logistic regressions model was employed. Results A total of 430 people who had six months and above antiretroviral treatment (ART) follow up were enrolled in the study. Of these, 57.9% were females & the mean age was 38 years. The mean month of ART follow up was 83 months. In the first viral load analysis, 106 (24.7%) of the cohort were virologically failed. These failed people were followed for 3 months with intensive adherence support; then second viral load analysis showed a viralogical failure among 65 people of the second cohort. Thus, the overall viralogical failure or TF was 15.1%. The re-suppression rates were 41(38.7%). Male gender, people with history of drug discontinuation, poor adherence, irregular time of drug intake, multiple sexual practice showed significant association with TF. Moreover, base line and current CD4 counts of <200 cells/ml also demonstrated significant association with TF. Conclusion Significant proportion of treatment failure was reported in the present study. Moreover, behavioral factors such as drug discontinuation, poor adherence, multiple sexual partner were associated with treatment failure. Hence, to avoid TF, regular patient counseling and monitoring should be in place. To identify the predictors for treatment failure, further follow-up study is desirable.
Parameterized complex dielectric functions of CuIn1−xGaxSe2: applications in optical characterization of compositional non‐uniformities and depth profiles in materials and solar cells

In‐situ spectroscopic ellipsometry (SE) was employed to extract the complex dielectric functions ε = ε1 + iε2 over the spectral range of 0.75–6.5 eV for a set of polycrystalline CuIn1−xGaxSe2 (CIGS) thin films with different alloy compositions x = [Ga]/{[In] + [Ga]}. For highest possible accuracy in ε for each CIGS thin film, specialized SE procedures were adopted including (i) deposition to a thickness of ~600 Å on smooth native oxide covered crystal silicon wafers, which minimizes the surface roughness on the film and thus the required corrections in data analysis, and (ii) measurement in‐situ, which minimizes ambient contamination and oxidation of the film surface. Assuming an analytical form for each of the ε spectra for these CIGS films, oscillator parameters were obtained in best fits, and these parameters were fit in turn to polynomials in x. With the resulting database of polynomial coefficients, the ε spectra for any composition of CIGS can be generated from the single parameter, x. In addition to enabling accurate contactless determination of bulk and surface roughness layer thicknesses of CIGS films by high speed multichannel SE, the database enables characterization of the composition and its profile with depth into these films, and even how the depth profile varies spatially within the plane of the films. In this study, depth profile parameters were found to correlate spatially with solar cell performance parameters. As a result, SE provides the capability of contactless compositional analysis of production‐scale CIGS photovoltaic modules at high speed. Copyright © 2016 John Wiley & Sons, Ltd.
Personalized patient care with aggressive hematological malignancies in non-responders to first-line treatment

ABSTRACT Introduction Whereas most patients with aggressive hematological malignancies can achieve disease remission after receiving current standard first-line chemotherapies, the prognosis of those with primary refractory disease remains poor. Conventional salvage chemotherapies are usually unsuccessful, but significant advances have been achieved in precision medicine for these patients in recent years. Areas covered This article presents a comprehensive review of current personalized care for patients with primary refractory aggressive hematological malignancies, focusing on acute leukemias and aggressive non-Hodgkin lymphomas. Expert opinions Salvage treatment for refractory acute myeloid leukemia (AML) should be personalized by the FMS-like tyrosine kinase 3 (FLT3) mutation status. Additionally, treatment for isocitrate dehydrogenase 1 or 2 (IDH1/2)-mutated refractory AML can be specified. Inotuzumab ozogamicin and blinatumomab are essential drugs for refractory B-cell acute lymphoblastic leukemia. These antibodies can be selected based on the disease status, such as measurable residual disease. For refractory diffuse large B-cell lymphoma, treatment options are different according to the cell-of-origin. Finally, accurate pathological phenotyping is an essential first step to optimize refractory peripheral T-cell lymphoma treatment. Although novel personalized approaches have improved the clinical outcomes of these patients, consolidation with hematopoietic stem cell transplantation has a vital role in most cases.
A MECHANISM FOR DETECTING PARTIAL INFERENCES IN DATA WAREHOUSES

Data warehouses are widely used in the fields of Big Data and Business Intelligence for statistics on business activity. Their use through multidimensional queries allows to have aggregated results of the data. The confidential nature of certain data leads malicious people to use means of deduction of this information. Among these means are data inference methods. To solve these security problems, the researchers have proposed several solutions based on the architecture of the warehouses, the design phase, the cuboids of a data cube and the materialized views of multidimensional queries. In this work, we propose a mechanism for detecting inference in data warehouses. The objective of this approach is to highlight partial inferences during the execution of a multidimensional OLAP (Online Analytical Processing) SUM-type multidimensional query. The goal is to prevent a data warehouse user from inferring sensitive information for which he or she has no access rights according to the access control policy in force. Our study improves the model proposed by a previous study carried out by Triki, which proposes an approach based on average deviations. The aim is to propose an optimal threshold to better detect inferences. The results we obtain are better compared to the previous study.
Collaboration Analytics - Current State and Potential Futures

This special issue brings together a rich collection of papers in collaboration analytics. With topics including theory building, data collection, modelling, designing frameworks, and building machine learning models, this issue represents some of the most active areas of research in the field. In this editorial, we summarize the papers; discuss the nature of collaboration analytics based on this body of work; describe the associated opportunities, challenges, and risks; and depict potential futures for the field. We conclude by discussing the implications of this special issue for collaboration analytics.
Deep Automation Bias: How to Tackle a Wicked Problem of AI?

The increasing use of AI in different societal contexts intensified the debate on risks, ethical problems and bias. Accordingly, promising research activities focus on debiasing to strengthen fairness, accountability and transparency in machine learning. There is, though, a tendency to fix societal and ethical issues with technical solutions that may cause additional, wicked problems. Alternative analytical approaches are thus needed to avoid this and to comprehend how societal and ethical issues occur in AI systems. Despite various forms of bias, ultimately, risks result from eventual rule conflicts between the AI system behavior due to feature complexity and user practices with limited options for scrutiny. Hence, although different forms of bias can occur, automation is their common ground. The paper highlights the role of automation and explains why deep automation bias (DAB) is a metarisk of AI. Based on former work it elaborates the main influencing factors and develops a heuristic model for assessing DAB-related risks in AI systems. This model aims at raising problem awareness and training on the sociotechnical risks resulting from AI-based automation and contributes to improving the general explicability of AI systems beyond technical issues.
ANALISIS PENGGUNAAN ALAT PELINDUNG DIRI (APD) COVID-19 PADA PETUGAS PUSKESMAS DI KOTA PADANG

Introduction: Health workers are groups that are vulnerable to contracting COVID-19. There are 20 health workers in West Sumatra test positive for COVID-19 until April 30th 2020, while six of them are Padang primary health care officers. Using Personal Protective Equipment (PPE) is important to prevent and reduce COVID-19 transmission risk of health workers. This study aimed to measure factors of using PPE for Padang primary health care officers. Methods: Research used a quantitative method with cross sectional design in 12 Padang primary health care from March to July 2020. Independent variables were age, PPE availability, leadership support, knowledge, and attitudes. Dependent variable was PPE usage behavior. Research population was health care officers who directly contacted with people in Padang primary health care area with 100 samples. Primary data collection used questionnaire with accidental sampling technique and analyzed using bivariate analysis. Results:There was a significant relationship between age and PPE usage behavior for health care officers, p value=0.037 (p
What difference does literacy make among adult learners? Impact of adult basic education programme in a rural community in Botswana

Functional education and human development are not mutually exclusive. To achieve an all-round development, the fourth Sustainable Development Goal partly emphasizes the need to ‘… promote lifelong learning opportunities for all’ by year 2030. This article, therefore, uses a case study approach to analyse the impact of a government funded adult basic education programme in improving literacy level of Sehithwa community in rural, northwestern Botswana. Using a snowball technique and questionnaire/interview schedule survey to sample and interview 30 adult basic education programme participants and 30 non-participants, respectively, and holding other factors constant, the article’s main thrust was to determine the difference in literacy attainment between the two groups. Results from the T-test analysis performed showed that there was a significant difference in participants’ and non-participants’ age, association membership, and household size at p ≤ 0.00 level. Nonetheless, there was no significant difference in literacy attainment between the two groups, perhaps as a result of lack of effectiveness and other challenges associated with the implementation of the literacy programme in the study area.
Evaluation of Headtorch WORKS as a workplace intervention for improved support and understanding of co-workers with poor mental health and well-being

ABSTRACT Promoting mental health in the workplace and creating a supportive environment for those experiencing poor mental health are important strategies that can be implemented by workplaces. The present research evaluates the effectiveness of Headtorch WORKS, a mental health and well-being intervention consisting of three online episodes, including original filmed drama and specialist documentary, intercut with a variety of open and closed questions. To evaluate the Headtorch WORKS intervention, a number of psychological measures were developed and adapted for a workplace context. These measures examined the topics of social distance, interaction, stigma, empathy and presenteeism. Data were obtained from fifty-five employees from six participating companies, with this process taking six to nine weeks for each company. Twenty-nine employees were part of the experimental group and twenty-six were in the control condition. Data from an additional 122 undergraduate students and 130 employees were used to examine the measures and to evaluate their psychometric properties. The main study took the form of a pre/post- design where individuals were tested before and after the Headtorch WORKS intervention. Results showed no significant effects on our measures of stigma, empathy and presenteeism, but we did find improvements in our measures of social distance and interaction.
Prediction of customer engagement behaviour response to marketing posts based on machine learning

With the prevalence of social media platforms, the way customers engage with brands has greatly been altered. Choosing appropriate social media marketing strategies to stimulate customer engagement in different forms is an important issue. In order to better understand customer behaviours in the social media marketing context, we draw on the Stimulus-Organism-Response theory, and conceptualise and characterise marketing posts from six dimensions to get various features as stimuli, which induce or activate customers’ cognitive and affective states to varying levels, and ultimately lead to different behaviour responses. Machine learning algorithms are applied to the customer engagement behaviour choice prediction when facing marketing posts. It is proved that the post features designed by humans can be used to get good predictions, while the best results are achieved by combining the human-designed features with the high-dimensional features automatically extracted from post texts by the BERT model. Our research provides insights for firms to effectively conduct social media marketing design and customer engagement behaviour choice prediction.
Production of HONO from NO2 uptake on illuminated TiO2 aerosol particles and following the illumination of mixed TiO2∕ammonium nitrate particles

Abstract. The rate of production of HONO from illuminated TiO 2 aerosols in the presence of NO 2 was measured using an aerosol flow tube system coupled to a photo-fragmentation laser-induced fluorescence detection apparatus. The reactive uptake coefficient of NO 2 to form HONO, γ NO 2 → HONO , was determined for NO 2 mixing ratios in the range 34–400 ppb, with γ NO 2 → HONO spanning the range (9.97 ± 3.52) × 10 −6 to (1.26 ± 0.17) × 10 −4 at a relative humidity of 15 ± 1 % and for a lamp photon flux of (1.63 ± 0.09) ×1016 photons cm −2 s −1 (integrated between 290 and 400 nm), which is similar to midday ambient actinic flux values. γ NO 2 → HONO increased as a function of NO 2 mixing ratio at low NO 2 before peaking at (1.26 ± 0.17) × 10 - 4 at ∼ 51 ppb NO 2 and then sharply decreasing at higher NO 2 mixing ratios rather than levelling off, which would be indicative of surface saturation. The dependence of HONO production on relative humidity was also investigated, with a peak in production of HONO from TiO 2 aerosol surfaces found at ∼ 25 % RH. Possible mechanisms consistent with the observed trends in both the HONO production and reactive uptake coefficient were investigated using a zero-dimensional kinetic box model. The modelling studies supported a mechanism for HONO production on the aerosol surface involving two molecules of NO 2 , as well as a surface HONO loss mechanism which is dependent upon NO 2 . In a separate experiment, significant production of HONO was observed from illumination of mixed nitrate / TiO 2 aerosols in the absence of NO 2 . However, no production of HONO was seen from the illumination of nitrate aerosols alone. The rate of production of HONO observed from mixed nitrate / TiO 2 aerosols was scaled to ambient conditions found at the Cape Verde Atmospheric Observatory (CVAO) in the remote tropical marine boundary layer. The rate of HONO production from aerosol particulate nitrate photolysis containing a photocatalyst was found to be similar to the missing HONO production rate necessary to reproduce observed concentrations of HONO at CVAO. These results provide evidence that particulate nitrate photolysis may have a significant impact on the production of HONO and hence NO x in the marine boundary layer where mixed aerosols containing nitrate and a photocatalytic species such as TiO 2 , as found in dust, are present.
Effects of Pulsed Electric Fields and Ultrasound Processing on Proteins and Enzymes: A Review

There is increasing demand among consumers for food products free of chemical preservatives, minimally processed and have fresh-like natural flavors. To meet these growing demands, the industries and researchers are finding alternative processing methods, which involve nonthermal methods to obtain a quality product that meets the consumer demands and adheres to the food safety protocols. In the past two decades’ various research groups have developed a wide range of nonthermal processing methods, of which few have shown potential in replacing the traditional thermal processing systems. Among all the methods, ultrasonication (US) and pulsed electric field (PEF) seem to be the most effective in attaining desirable food products. Several researchers have shown that these methods significantly affect various major and minor nutritional components present in food, including proteins and enzymes. In this review, we are going to discuss the effect of nonthermal methods on proteins, including enzymes. This review comprises results from the latest studies conducted from all over the world, which would help the research community and industry investigate the future pathway for nonthermal processing methods, especially in preserving the nutritional safety and integrity of the food.