Miracle-dz/UniFAR-FTUs huggingface dataset:
A competence assessment tool that links thinking operations with knowledge types

Background. Although there is a need for a greater number of nurses to meet the demands for universal health coverage, these trained nurses should also be competent. However, assessment of nurses’ competence remains a challenge, as the available instruments do not focus on identifying the knowledge level that is lacking. Objectives. To report on the development and reliability of an instrument that can be used to assess undergraduate student nurses’ competence. Methods. A methodological research design was used. The authors extracted items from existing competence assessment instruments, inductively analysed the items and categorised them into themes. The extracted items were used to draft a new instrument. Review by an expert panel strengthened the content and face validity of the instrument. Twenty assessors used the developed assessment instrument to assess 15 student nurses’ competence via video footage. Results. The Cronbach alpha coefficient of 0.90 and intraclass correlation coefficient of 0.85 indicate that the instrument is reliable and comparable with other instruments that assess competence. Conclusions. Nurse educators can use the developed instrument to assess the competence of a student and identify the type of knowledge that is lacking. The student, in collaboration with the educator, can then plan specific remedial action.
Judicialização do sofrimento negro. Maternidade negra e fluxo do Sistema de Justiça Criminal no Rio de Janeiro

Resumo Este artigo é baseado em etnografia realizada entre os anos de 2015 e 2017 no Núcleo de Direitos Humanos da Defensoria Pública do Rio de Janeiro (NUDEDH), mais especificamente no programa de Proteção às Vítimas de Violência Praticada por Agentes Estatais ou Particulares. No contexto de antinegritude vigente no Rio de Janeiro, esta linha de atuação do NUDEDH se tornou uma ferramenta utilizada por mães de vítimas de violência policial em favelas e periferias, que passam a atuar como assistentes de acusação nos processos penais dos assassinatos de seus filhos e filhas. Este artigo, ao mobilizar literatura sobre a Teoria Crítica da Raça e Estudos Negros, tem por objetivo examinar os usos do sofrimento negro e da maternidade negra para a movimentação do Fluxo do Sistema de Justiça Criminal.
Effects of Manganese Exposure on Blood Iron Indices in Miners of Iran Manganese Mines Co. (Qom)

Background: In present study, chronic exposure to manganese (Mn) and its effect on blood iron (Fe) indices in miners of Iran manganese mines-Qom have been investigated. Methods: In this cross-sectional study, fifty six miners and 5 control persons were studied cross sectionally. Prior to beginning of daily work, miners filed questionnaire and then their blood, urine and saliva samples were collected. Mn concentrations in samples were analyzed by atomic absorption spectroscopy (AAS). CBC analysis was performed by auto-analyzer system and blood Fe, transferrin (Tf), ferritin (Fr), total iron binding capacity (TIBC) and hemoglobin (Hb) were determined by respected commercial kits. Results processed by using software SPSS 16. Results: Between measured indices, only blood Mn, Fe and TIBC had significant difference in miners and controls (P < 0.05). The results showed that although Mn and Fe level increased in serum of miners but did not cause anemia. Result even the maximum manganese of blood, 1580 μg/L has not had undesired effects on miners iron homeostasis. Conclusions: Therefore Mn mining and Mn accumulation in blood did not increase the risk of impaired iron homeostasis. This may be due to co-exposure to Fe (in braunite (Mn mineral)) and/or compensatory mechanisms that don’t allow to wide range changes in blood parameters. Also personal discrepancy, social status, life style and place may influence the results of present study.
Network security prediction model using neural networks

The aim of this paper is to design a robust network security prediction model. The designed model is an intrusion detecting model constructed using neural networks. The intrusion detecting model detects anomaly and misuse-based attacks. Intrusion detecting model also performs three kinds of classification tasks. The tasks include classifying between occurrence of an attack or a normal case, classifying between different attack types or a normal case and classifying between occurrence of a attack or other case. The intrusion detecting model also shows the classification accuracy, execution time and amount of memory usage. The objectives of the intrusion detecting model are high accuracy, low execution time and minimum amount of memory usage. The intrusion detecting model constructed using neural networks, fulfils the objectives of high accuracy, low execution time and minimum amount of memory usage.
Unklare Bauchkrämpfe und Übelkeit seit Jahren

Ein Milizhelikopterpilot der Schweizer Luftwaffe, der seit vielen Jahren regelmäßig am Fliegerärztlichen Institut der Luftwaffe (FAI) untersucht wurde, meldete sich außerordentlich mit Beschwerden. Der Pilot berichtete über phasenweisen, vor allem abends auftretenden rezidivierenden Bauchkrämpfen, unter denen er schon mehrere Jahre litt (überraschenderweise wurde dies bisher nicht dokumentiert). Neben völlig beschwerdefreien Phasen traten die Beschwerden dann wieder teilweise täglich auf. Diese Krämpfe waren jeweils so stark, dass er sich hinlegen oder sich setzen musste. Zudem trat alle 2–3 Monate plötzlich Übelkeit auf, welche bis zum Erbrechen führen konnte (dieser zweite Symptomkomplex trat unabhängig von den Bauchkrämpfen auf). Die Übelkeit trat auch nachts auf, sodass der Pilot aus tiefem Schlaf erwachte. Nach dem Erbrechen sistierten die Symptome zumindest teilweise. Einen Auslöser konnte er bisher nicht ausmachen.
Colombia y la nueva revolución industrial

La coleccion Colombia hacia una sociedad del conocimiento reune las contribuciones de la Mision Internacional de Sabios 2019 sobre Educacion, Ciencia, Tecnologia e Innovacion, convocada por el Presidente de la Republica. Este volumen corresponde a las contribuciones realizadas por el Foco de Tecnologias Convergentes -Nano, Bio, Info y Cogno- e Industrias 4.0, cuyas recomendaciones sobre la educacion, la infraestructura digital estrategica, la inversion inteligente, la innovacion para crear valor y equidad, la atraccion de capital privado y talento internacional, la politica publica acompanada de regulaciones modernas, entre otros pilares, conforman una arquitectura critica para la innovacion y la oportunidad global para el pais.
Supporters and opposition in authoritarian legislatures

ABSTRACT Do supporters and opposition behave differently in authoritarian legislatures? This paper examines this question by analysing legislative activity in an authoritarian regime with a multiparty legislature. Using a novel dataset on legislative activity in the Brazilian Congress during the last dictatorship (1964–1985), it finds significant differences in the topics and likelihood of enactment of the bills introduced by pro-government and anti-government legislators. Pro-government legislators introduced more bills dealing with local issues and were rewarded for their loyalty by being more likely to pass their bills. In contrast, legislators from the opposition introduced more bills dealing with national economic issues, which were less likely to be enacted.
Research on multi-feature fusion text classification model based on self-attention mechanism

For complex long texts, critical semantic information will be weakened and non-critical features will be forgotten. This paper proposes a multi-feature fusion text classification model based on autoattention mechanism. The preprocessed text data is represented by character-level vectors through the Bert model. First of all, self attention mechanism (Self-Attention) is used to learn the dependence of text words to capture the internal structural information of the text, Secondly, according to Deep superposition convolutional neural network (DSCNN) and Bi-directional Gated Recurrent Unit (BiGRU) based on soft attention mechanism (Soft-Attention), the semantic features of text data are extracted separately, and two different feature extraction results are combined. Finally, the Softmax layer is used to classify the deep-extracted features, and the accuracy of the classification model is improved by adding a uniform distribution item to the cross-entropy loss function. The text is verified in the medical consultation data set, and the results show that the F1 value of the text classification of the model is as high as 88.91%, Text semantic understanding is better than mainstream models.
Differences and similarities among questionnaires to assess pain status in chronic widespread pain population: a quantitative analysis

Objective: In clinical practice, multiple questionnaires are often used as part of the diagnosis of chronic widespread pain. Body Surface Area (BSA), Visual Analogue Scale (VAS), Fibromyalgia Diagnostic Criteria (FDC) and Central Sensitization Inventory (CSI) have all been used as screening tools to assess pain status in individuals with widespread pain. However, substantial overlap can be observed among these commonly employed questionnaires. This study aimed to quantitatively determine the most independent and dependent clinical characteristics obtained through these questionnaires and to examine potential redundancies. Methods: Seventy-nine participants with widespread pain, 61 females and 18 males, from a chronic pain outpatient clinic were recruited. The FDC, BSA, VAS and the CSI were measured for all participants. A principal component analysis (PCA) using a varimax rotation was used to determine which clinical measures represented separate constructs of widespread pain. This was followed by a regression analysis to assess redundancy between the constructs and related pain characteristics. Results: The identified three-component PCA solution was characterized by (1) the FDC and CSI score, (2) the VAS score and (3) the BSA score. This indicates that the BSA and the VAS scores capture independent patient information. From the regression analysis, the FDC and CSI scores shared approximately 80% of the variance, indicative of substantial overlap between scores. Conclusion: Our findings demonstrated that BSA and VAS scores were independent clinical measures of widespread chronic pain, while the FDC and CSI scores were not independent, were highly correlated and provided redundant information. Clinicians should continue using both the BSA and VAS; however, either only FDC or CSI will be beneficial during clinical assessment of widespread chronic pain.
Chemical Composition of Chinotto Juice

Citrus×myrtifolia Rafanesque fruits are commonly used to produce the popular Italian beverage “Chinotto”. The C. myrtifolia plant comes from Asia, as most of Citrus spp. , but nowadays is spread in Mediterranean countries and in Italy especially in Liguria and Sicily. Attention of the citrus industry for chinotto and other drinks production increases studies on its biochemical characterization for the development of new Chinotto-based products. The fresh juice obtained by squeezing ripe fruits of Chinotto was investigated with the aim of improving the knowledge on its bioactive properties. Juice extract was found to be rich in flavonoids, eriocitrin, neoeriocitrin, hesperidin, and naringin. The latter is the main flavonoid in the juice. The chemical composition of chinotto juice was analysed in terms of juice yield, soluble solids, organic acids, tritable acidity, sugars (glucose, fructose and sucrose), metals (Na, K, Ca, Mg), and as free amino-acids. Results show that C. myrtifolia fruits and related beverages are good sources of phytochemicals. Moreover, this approach could enhance product quality, or otherwise detect adulteration with substances, sophistication or fraud in juices.
Protecting Wall Street or Main Street: SEC Monitoring and Enforcement of Retail-Owned Firms

This study examines whether the percentage of retail ownership of a firm is associated with the likelihood that the firm is subject to monitoring and enforcement by the two largest divisions of the SEC. We find a negative association between retail ownership percentage and SEC monitoring. In contrast, we find a positive association between retail ownership percentage and SEC enforcement. We acknowledge that the objective function of the SEC in terms of monitoring and enforcement of corporate registrants is complex and nuanced, and we do not contend that these associations are at all causal. However, the results suggest that the SEC is less likely to monitor firms with high retail ownership, potentially leaving retail investors more vulnerable to unresolved financial reporting issues. At the same time, the SEC is more likely to enforce upon firms with high retail ownership, potentially harming retail investors when the firm is accused of egregious cases of perceived financial misreporting.
Regulation of the tight junction permeabilities in the TAL

The thick ascending limb of Henle's loop (TAL) is a key nephron tubule for the reabsorption of divalent cations. This reabsorption occurs entirely through the cation selective paracellular pathway, driven by a lumen-positive transepithelial voltage created by the active transcellular transport. The discovery of the claudin (Cld) family of proteins and their properties has put into focus the study of the regulation in this paracellular pathway. To functionally study the regulation of the tight junction permeabilities, TALs were dissected and microperfused ex vivo. The recording of transepithelial voltages (Vte) and transepithelial resistances (Rte) allowed the calculation of equivalent short circuit currents (Isc), permeability ratios, and absolute paracellular permeabilities to ions (Px) in the TAL. TALs from mice on high calcium diet reached lower values of Vte, PMg and PCa than TALs from the control group, indicating clearly that a regulatory process has taken place. Low calcium intake for 8 days had no verifiable effects in the TAL of those mice. TALs were studied after challenging mice water homeostasis or by directly stimulating isolated TALs with vasopressin (AVP). TALs from water-restricted mice had lower Rte, with higher Vte, Isc, and PNa than tubules from water-loaded mice. Acute ex vivo stimulation of TALs with AVP, showed that AVP increase the paracellular selectivity for cations. Thus, water restriction and AVP induce regulation in the paracellular pathway in the TAL. Transgenic knock-out mouse models were used to characterize the functionality of the tight-junction in the TAL when Cld10, Cld16, or both claudins simultaneously were absent. The results suggest that both claudins are complementary, and their deficiency largely affects the paracellular permeability to cations. In summary, the data presented here are a further step in characterizing the paracellular pathway in the TAL and its regulation as a physiologically relevant mechanism in ion homeostasis.
Hypothetical extraction, betweenness centrality, and supply chain complexity

ABSTRACT Two frameworks, hypothetical extraction and betweenness centrality analysis, can be used to identify environmentally important sectors in complex supply chains. This study derives an analytic expression for the relationship between hypothetical extraction and betweenness centrality analysis. Second, using the Eora and WIOD, this study analyzes the degree of difference in ‘important’ sectors identified by hypothetical extraction and betweenness centrality analysis. While the results obtained by rank correlation yield similarities, both methods have advantages. This study demonstrates that estimating betweenness centrality is meaningful and less computationally expensive, and can help us to understand the structural positions in the global supply chain network. The hypothetical extraction indicators can be easily computed using the betweenness centrality indicators’ mathematical relationship. We conclude that the implementation of effective CO2-reduction polices through greener global supply chain engagement center around two key sectors, chemical and metal products from China, and their higher betweenness centrality should be strengthened.
Mixed Conducting Perovskite Materials as Superior Catalysts for Fast Aqueous-Phase Advanced Oxidation: A Mechanistic Study

A mixed ionic–electronic conducting (MIEC) double perovskite, PrBaCo2O5+δ (PBC), was synthesized and evaluated as the heterogeneous catalyst to generate radicals from peroxymonosulfate (PMS) for the oxidative degradation of organic wastes in aqueous solution. A superior catalytic activity was obtained for PBC, which was much higher than that of the most popular Co3O4 nanocatalyst. More importantly, a detailed mechanism of PMS activation on the MIEC perovskite was proposed. Electron paramagnetic resonance (EPR) and radical competitive reactions suggested that both sulfate radicals (SO4•–) and hydroxyl radicals (•OH) participated in and played important roles in the catalytic oxidation processes. Oxygen temperature-programmed desorption (O2-TPD) demonstrated that the PBC perovskite oxide is capable of facilitating an easier valence-state change of the B-site cation (cobalt ions) to mediate a redox process. Additionally, the oxygen vacancies could facilitate the bonding with PMS molecules and promote the rea.
DETERMINING THE SAMPLE SIZE IN QUALITATIVE RESEARCH

According to most researchers carrying out qualitative researches, adequacy of sample size is a key marker for the research’s quality. However, there is no consensus with respect to the exact size of a proper sample. For some authors, the count of investigated units is irrelevant when they assess the sample size’s adequacy, as they emphasize the abundance of data submitted by the units included in the sample. Other researchers deem the sample size all-important in order to reach reliable outputs and to ensure the reliability of qualitative researches. No clear methods and rules are given for qualitative investigation in order to guide researches in establishing the sample’s proper size. Size determination is a matter of consideration, as the researchers follow various guidelines in order to assess whether their own research sample is proper or not. This paper aims to identify the main external guidelines for a qualitative research project allowing researchers to determine the proper sample size in qualitative research.
Privacidade e autonomia na era de Big Data

Neste artigo, temos por objetivo analisar alguns dos desafios atuais colocados pelas Tecnologias da Informação e Comunicação (TIC), quanto às questões de privacidade e autonomia no que concerne ao controle de dados pessoais, através de recursos de Big Data. Nossa análise se restringe aos dados pessoais que identificam ou que podem identificar uma pessoa, de modo a colocar em xeque sua privacidade e autonomia. Inspirados em hipóteses elaboradas por John Stuart Mill sobre a influência que a sociedade exerce sobre os indivíduos, argumentamos que há que se proteger a independência individual em face de práticas impositivas, e por vezes irracionais, que a opinião coletiva pode exercer sobre os indivíduos. Uma dificuldade sugerida por Mill estaria em se identificar, na prática, o limite entre a autonomia da pessoa e o controle social. Argumentamos que, ainda que em contextos distintos, essa dificuldade não só persiste na Sociedade da Informação contemporânea como se mostra premente com o acelerado desenvolvimento de TIC, Big Data, Internet das Coisas e Computação Ubíqua que integram parte significativa da vida dos indivíduos. Admitimos que as possibilidades apresentadas pelas TIC são, em muitos casos, consolidadoras de direitos básicos como o de acesso à informação, entre outros; contudo a vigilância e o controle governamental e empresarial, facilitada pelo desenvolvimento das TIC, por sua vez, nos conduz à indagação sobre possíveis consequências negativas sobre a autonomia individual na Sociedade da Informação vigente. Considerando os três Vs característicos dos Big Data: volume, velocidade, em tempo real, e variedade (Laney, 2011), discutimos neste artigo aspectos positivos e negativos do emprego de recursos de Big Data, especialmente, por governos e grandes corporações, no que diz respeito à sua influência na privacidade e autonomia humana.
Diseño de cargador de baterías con baja distorsión armónica de corriente para aplicación en vehículos eléctricos

This paper presents the design, simulation and implementation of a small scale battery charger with low harmonic distortion in current. It was proposed a design composed of two boost converters in cascade, the first operating as PFC and second as a regulator of the injected current to the batteries. Additionally, it was presented the procedure for the controllers design of each stage. In the first stage was used a control in average current mode and in the second stage were used two controls that enable you to employ the method of constant current constant voltage in order to charge the batteries. In both stages were used the PI controllers and with the power electronic circuit were simulated in the PSIM® and MATLAB® software and validated experimentally In this tests, power factors close to 0.98 and harmonic distortion in current below 10% were obtained, complying with the requirements of the IEC 61000-3-2 standard. Finally, the conclusions are presented.
Preferences of regular metal brackets among patients reporting to dental hospital- an institutional based retrospective study

The technology used to make orthodontic products and materials has advanced at an exponential rate. Newer materials, methods, and designs are coming up on a daily basis. These products help the orthodontist to give the best functional and aesthetic results to the patient. Orthodontic brackets have evolved from Angle's era to the MBT brackets followed by lingual brackets. These brackets have made the life of the orthodontists much easier. As technology is advancing many more newer materials and designs are coming forward. The aim of the study was to evaluate the frequency of use of regular metal brackets among patients reporting to dental hospital in chennai, in the period of June 2019March 2020. The clinical records of 1362 patients undergoing orthodontic treatment were evaluated. The prevalence of patients treated with regular metal brackets according to sex, gender and the different types of orthodontic brackets were assessed. Chi-square test was used to determine associations between variables, while the chi-square test for trends was used to assess the frequency of patients treated with regular metal brackets in comparison to others. The most frequently preferred brackets by patients were the regular metal brackets (99.5%) in comparison to other types of brackets. There was no statistically significant difference in patients treated with regular metal brackets with respect to age and gender. Thus, it can be concluded that the regular metal brackets are still being widely chosen by patients undergoing orthodontic treatment. Hence, awareness of different types of brackets and their uses should be brought among patients undergoing orthodontic treatment.