Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoramento em tempo real da morfologia na extrusão da blenda polimérica polipropileno/ nylon 6.

REAL TIME MONITORING OF MORPHOLOGY ON EXTRUSION OF THE POLYPROPYLENE/ NYLON 6 POLYMERIC BLEND The aim of this work is to assess in real time the morphological parameters of polypropylene and polyamide 6 blends during the extrusion process. An optical detector based on the visible light transmitted and extinction principle was assembled in a slit die located at the exit of a twin screw extruder in order to get the changes in the polyamide 6 particle concentration and size. The influence of particle size and concentration was first verified during bench calibration, where it was observed that the light extinction was greater the higher the concentration and the lower the particle size. In the case of mixtures an additional relation concerned to changes in size and density was verified. It was also stated that the detector records the ponderal average size of a set of particles. During extrusion experiments, the analyses were performed in the steady and transient state. In both cases it was verified that normalized signal intensity increases with increasing particle concentration and decreasing the dispersed phase size. Infrared analysis and images obtained from scanning electron microscopy confirmed these results. The correlation between dispersed phase concentration and size with the detector’s normalized signal was established through the elaboration of regression equations. The plot of normalized signal as a function of the dispersed phase concentration and size enabled the calculation of the extinction cross section values for the PP/ PA6 blend.
Water, Alcoholic and Etheric Extraction Method for Some Active Materials from Linden Plant, So Antibacterial and Antitumor Activity Studies

The aim of this study is to isolate some active substances from the linden plant (Tilia cordata) as tannins and saponins and volatile oils. The extraction method shows the percentage of the isolated materials was ((31.1%) (59.2%) and (9.7%) respectively, as well as the appointment of some mineral elements in the linden as sodium, calcium, potassium,was (ppm 86), (ppm 65), (ppm 467), respectively,by application atomic emission spectroscopy. In addition study effectiveness of the anti-bacterial plant extractants of linden using two types of pathogenic bacteria it (Escherichia Coli and Staphylococcus aurous), where the study showed the ability of inhibition of the different extractants and different inhibition diameters vary according to different active substances and concentrations and type of the bacteria. Used one type of cancer cell lines to study the effect of extracts of lime on the growth of cells in the laboratory and thus know the specifications of the extractants anti tumor cell line used is (L20B) a mutant mouse cells (Mice Transformed cell Line). Keywords: Tilia cordata ,antibacterial, antitumor, extracts.
Crack size monitoring in necked double shear lugs using the electro-mechanical impedance method

Artificially introduced cracks in necked double shear lugs are monitored using piezoelectric transducers attached to the lug shaft and analyzed by the electro-mechanical impedance (EMI) method with a model-based approach. Numerical simulations with coupled-field finite element (FE) models are used to study the frequency response behavior of necked lugs. Through-cracks with lengths up to 3 mm are located at 90° to the lug axis, which is a critical spot for damage initiation. The shift of a selected resonance frequencies found by analytical and numerical calculations are used to estimate the crack length. Results of numerical FE simulations are validated with multiple experimental measurements .
A Serum Metabolomic Signature for the Detection and Grading of Bladder Cancer

Bladder cancer has a high incidence and is marked by high morbidity and mortality. Early diagnosis is still challenging. The objective of this study was to create a metabolomics-based profile of bladder cancer in order to provide a novel approach for disease screening and stratification. Moreover, the study characterized the metabolic changes associated with the disease. Serum metabolomic profiles were obtained from 149 bladder cancer patients and 81 healthy controls. Different ensemble machine learning models were built in order to: (1) differentiate cancer patients from controls; (2) stratify cancer patients according to grading; (3) stratify patients according to cancer muscle invasiveness. Ensemble machine learning models were able to discriminate well between cancer patients and controls, between high grade (G3) and low grade (G1-2) cancers and between different degrees of muscle invasivity; ensemble model accuracies were ≥80%. Relevant metabolites, selected using the partial least square discriminant analysis (PLS-DA) algorithm, were included in a metabolite-set enrichment analysis, showing perturbations primarily associated with cell glucose metabolism. The metabolomic approach may be useful as a non-invasive screening tool for bladder cancer. Furthermore, metabolic pathway analysis can increase understanding of cancer pathophysiology. Studies conducted on larger cohorts, and including blind trials, are needed to validate results.
Environmental Performance of Residential Buildings: A Life Cycle Assessment Study in Saudi Arabia

The building and construction sector has a huge impact on the environment because of the enormous amounts of natural resources and energy consumed during the life cycle of construction projects. In this study, we evaluated the potential environmental impact of the construction of a villa, from cradle to grave, in the Saudi Arabian context. Centrum voor Milieukunde Leiden (CML) for Centre of Environmental Science of Leiden University-IA baseline v3.03 methods were used to obtain the environmental profile for the impact categories, and Cumulative Energy Demand v1.09 was used to measure the embodied energy of the villa life cycle. The analyzed midpoint impact categories include global warming (GWP100a), ozone layer depletion (ODP), acidification (AP), eutrophication (EP), photochemical oxidation (POCP), and indicator cumulative energy demand (CED). The operation use phase of the villa was found to have the highest global warming potential and acidification with 2.61 × 106 kg CO2-eq and 1.75 × 104 kg SO2-eq, respectively. Sensitivity analysis was performed on the Saudi Arabian plans to increase the share of renewable sources and reduce the amount of electricity generated from hydrocarbons, which currently represents 46% of the total installed power, by 2032. The results showed that compared with the current electricity environmental impact, the CO2 emission from electricity will decrease by 53%, which represents a significant reduction in environmental impact. The findings will help with the life cycle assessment of structures during future planning and for energy conservation.
Sports Facilities and Utilities: A Perceptual Analysis of Secondary School Students

Kant stated that education is to develop a sound mind in a sound body. Following a descriptive survey in a quantitative framework, the current study aimed to analyze the perception of students at Khyber Pakhtunkhwa about the availability of sports facilities and their utilization. A multi-stage sample of 300 students was taken from12 urban Secondary schools of district Peshawar. A questionnaire was used for the collection of quantitative data having five-point Likert scales. Kruskale Wallace H test and Mann-Whitney U test were used as inferential statistics for finding the differences in the groups. The study found that most of the secondary school students participated in sports activities. The majority of schools were having sports facilities, however, fewer students were having sports facilities outside their schools. It was suggested that if students are provided with proper sports facilities and proper guidelines, it will have a significant impact on their physical development and academic achievements.
Prediction of protein‐protein interactions using stacked auto‐encoder

Protein‐protein interactions (PPIs) play essential roles in understanding the protein functions and the corresponding pathways which are involved in various biological processes, as well as help in understanding the cause and growth of diseases. Several computational methods such as Support Vector Machine and decision tree are popularly used along with the experimental methods to address the PPIs problem. Such algorithms consider different protein features, including protein sequence, genomes, protein structure, function, topology of the PPIs network, and those that combine multiple aspects. Nowadays, Deep learning (DL) algorithms are successfully used in solving problems in different domains. So, in this paper, we have used stacked auto‐encoder as one of the DL methods in solving the problem of PPIs. This model takes the input 92‐length feature vector, which is the integration of features extracted from the protein sequence using different methods. The feature vector consists of evolutionary features obtained by PSI‐BLAST algorithm, predicted structural properties obtained by SPIDER2, and seven physicochemical properties of amino acids. The key novelty of the current study lies in extracting useful features to solve the PPI problem. The results obtained by our method of feature extraction are compared with those obtained by other feature extraction methods such as Autocovariance and Conjoint‐triad, and our proposed feature extraction method is found to be relatively more accurate.
Sex steroids and adiposity in a prospective observational cohort of youth

Adiposity, particularly visceral adipose tissue (VAT), predicts adverse cardiovascular risk factor profiles in children as well as adults. Although endogenous sex steroids likely influence VAT in adults, such an association has not been established in youth. The association between childhood and adolescent sex steroids with adiposity, specifically VAT, was examined before and after adjustment for other hormone changes.
Prime ministers in minority governments: the case of Hungary

ABSTRACT Whereas early scholarship depicted minority cabinets as weak recent findings demonstrate how various factors contribute to effective minority governance. Nevertheless, the role of prime ministers (PMs) was largely ignored in the performance of these cabinets. The paper addresses this problem by comparing Hungary's only two minority governments in an MSSD framework. Combining a qualitative review with a quantitative analysis of voting patterns in Parliament, it argues that differences in aforementioned cabinets’ policy performance can be traced back to contrasting ideological position of PMs and subsequent ideological moderation. These findings have important implications for minority governments in majoritarian and polarised contexts.
Lamprochernes savignyi (Simon, 1881) (Arachnida, Pseudoscorpiones) recorded in Central Europe for the first time

The pseudoscorpion Lamprochernes savignyi (Simon, 1881) is reported in Central Europe for the first time. The new record from Switzerland is based on a single female specimen found in a compost heap in the Conservatory and Botanical Garden in Geneva. Until now, the species is distributed mainly in Africa, Americas, and Asia, less in Australia and Oceania, Europe, and the Arabian Peninsula. The new record fills in the gap in species distribution between Northern Europe and the Anatolian Peninsula. A description of the collected female is provided.
Urban Traffic Signals Timing at Four-Phase Signalized Intersection Based on Optimized Two-Stage Fuzzy Control Scheme

This paper proposes a signal timing scheme through a two-stage fuzzy logic controller. The controller first determines the signal phase and then adjusts the green time. At the first stage, the adaptive membership function of vehicle arrival rate is improved to adapt to the changing traffic flow. In addition to arrival rate and queue vehicles, a specific phase order rule is considered to avoid disordered phase selection in fuzzy control. At the second stage, the green time detection module decides whether to extend the current green time or switch phases every few seconds and the vehicle arrival rate is not required as the input to controller in real-time detection. Differential evolution algorithm with low space complexity and fast convergence is applied to optimize the fuzzy rules for avoiding artificial uncertainty. Simulation experiments are designed to compare traditional fuzzy controller, fixed-time controller, and fuzzy controller without flow prediction. Results show that the current proposed method in this paper can reduce vehicle delay significantly.
Development of hysteresis analysis as a model-independent approach to assess temporal dissociation in pharmacokinetics and pharmacodynamics

by Yili Zhong, Ph.D. Washington State University July 2016 Chair: Gary M. Pollack Pharmacodynamic hysteresis is a loop, typically anti-clockwise, in the effectconcentration profile, resulting from temporal dissociation between elaboration of effect and changes in drug concentration. Hysteresis behavior impairs recovery of reliable numerical estimates of pharmacodynamic parameters. Existing methods for analyzing data with a hysteresis have focused on integrated pharmacokinetic-pharmacodynamic modeling, which is based on hypothetical constructs and unverifiable assumptions. The work presented herein was aimed at developing and evaluating model-independent metrics to quantify time delays in pharmacokinetic/pharmacodynamic systems. Relationships between various descriptors of hysteresis morphology and parameters associated with distributional (pharmacokinetic) or effect (pharmacodynamic) delays were explored in
Research Recommendations to Address Dementia Workforce Development Needs

This policy paper presents workforce development recommendations for research, clinical care and public stakeholders as they plan future research activities to strengthen the workforce to support the healthcare and social needs of persons living with dementia and their families and caregivers. To create these recommendations, the 2020 National Research Summit on Care, Services and Supports for Persons with Dementia and Their Caregivers (2020 Summit) convened a Workforce Development Stakeholder Workgroup. The Stakeholder Workgroup consisted of an interprofessional team of health professionals from academia, professional organizations, and the federal government with expertise in dementia workforce development. The resulting ten workforce development recommendations represent four themes: (1) Accountability by addressing progress towards implementing the 2017 Research Summit on Care, Services, and Supports for Persons with Dementia and their Caregivers (2017 Summit) workforce recommendations; (2) Improving recruitment, retention, and job quality for direct care workers; (3) Creating a tech-savvy and culturally competent workforce; and (4) Developing educational core competencies, domains and milestones. These recommendations will positively impact the ability of persons living with dementia and their caregivers to access person- and family-centred dementia care that promotes independence and quality of life among those navigating their dementia journey.
The Effect of Company Characteristics on Disclosure Quality of Khartoum Stock Exchange Listed Companies

This research aims to relate disclosure quality of published annual reports of listed companies in Khartoum Stock Exchange (KSE) to its hypothesized determinants. Such a relation, if exists, would be used to predict the level (size) and kind (quality) of accounting information disclosure. Annual reports of 42 listed companies in KSE out of 52 total listed companies for the year 2007 were used to assess the quality of disclosure. An unweighted disclosure index of 191 mandatory and voluntary information items was developed and utilized using all disclosure requirements by regulating bodies in Sudan, as well as relevant studies from nine developing countries. Actual degrees of disclosure quality of more than 80% of KSE listed companies were measured and analyzed. Correlation and Pearson Product Moment Correlation Coefficient Model tests were used to check the existence of association between the disclosure quality (the dependent variable) and seven independent variables (assets size, sales value, industry type, firm age, return on assets, liquidity ratio and debt ratio). Statistical analysis showed that disclosure quality was positively correlated to the firm size (measured in assets and sales values), and type of industry (measured in regulated versus non- regulated industry). On the other hand, the quality of disclosure was not significantly correlated to company age (measured in number of listing years), company profitability (measured in rate of return on assets) and company debt level (measured in liquidity and leverage ratios).
Shelf-life Study of Pouch Packed UHT Milk- A Qualitative Approach

The analysis of raw milk subjected to UHT process revealed no seasonal variations in any of the physico-chemical parameter except significant increase in microbial spore count. During storage of UHT pouch milk, significant changes were observed after 45 days for overall acceptability score, pH, protein content, lactose content at 37±1 oC whereas no microbial spores were found during entire shelf-life study. Based on results, it seems that the Maillard browning could be responsible for bringing pronounced changes in physico-chemical parameters as well as decreasing the degree of overall acceptability of UHT milk. The initially cooked/burnt flavour noticed by panellist was overruled by other off-flavours like chalky, stale, etc. after 45 days. However, the UHT milk was acceptable till the end of storage period.
Registro sanitario de medicamentos biológicos y biotecnológicos en América Latina

Introduction: biological products are defined as products whose active ingredients are produced by a biological source, while biotechnological medicine is developed from the isolation of a gene of interest and its cloning. Method: a comparative study was carried out of the regulations in force as of July 2020 related to biological and biotechnological drugs of the countries of Central America and the Caribbean that currently have a regulatory framework for their registration, with respect to those of Chile and Brazil. Results: there are relevant differences in various aspects. Within the general information requested, variations were found for the definitions of Stringent Regulatory Authority, biotechnological product, reference product, and innovative product. Also, divergences were found for the non-clinical and clinical information requested and the Pharmacovigilance programs. For biosimilar products, particularities were distinguished regarding their definition and the exercise of biosimilarity, as well as for aspects of their use, such as the extrapolation of indications and automatic substitution or interchangeability. Finally, their labeling requires further study by the health regulatory authorities. Conclusions: after reviewing the regulations for the marketing authorization of biological and biotechnological products in nine Latin American countries, it was found that the requested information is not homologated.
MIXED HYDROTROPY IN SPECTROPHOTOMETRIC ANALYSIS OF ACECLOFENAC

The present investigation illustrates the application of mixed hydrotropy. There was a miraculous synergistic effect on enhancement in solubility of a poorly water-soluble drug by mixing two hydrotropic agents. The enhancement in the solubility of acecolofenac was more than 20 and 40 fold in 45% urea solution (URS) and 45% sodium citrate solution (SCS), respectivly as compared to its solubility in distilled water. The enhancement in the solubility of aceclofenac in a mixed hydrotropoic solution (UR-SCS) containing 22.5% urea and 22.5% sodium citrate was more than 700 fold (as compared to the solubility in distilled water). This proved a synergistic enhancement in solubility of a poorly water-soluble drug due to mixed hydrotropy. Mixed hydrotropic solution was employed to solubilize a poorly water-soluble drug, aceclofenac, from fine powder of its tablets to carry out spectrophotometric analysis precluding the use of organic solvents. The tablets containing aceclofenac were analyzed successfully. Recovery studies and statistical data proved accuracy, reproducibility and the precision of the proposed method. The presence of hydrotropic agents (urea and sodium citrate) did not interfere in the analysis.
PREDICCIÓN DEL UMBRAL ANAERÓBICO EN EL EJERCICIO PRENSA DE PIERNAS A 45°

Objective: Identify the anaerobic threshold (AnT) through blood lactate concentrations (LTDmax) and rating of perceived exertion (RPE) by the Dmax method (RPETDmax), and evaluate the correlation between these methods. Methods: Sixteen male long-distance runners participated in the study. Participants performed a gradual incremental test in leg press 45° exercise collecting blood lactate concentrations and perceived exertion. A student’s Ttest was performed to compare the intensity of exercise in which the LTDmax and RPETDmax were found, and a Pearson test was applied to verify the correlation and intraclass correlation coefficient (ICC). Results: No significant difference was found between the LTDmax and RPETDmax (p<0.05). In addition, a strong correlation (r=0.73) and high ICC (0.822) were observed between them. Conclusions: For the sample studied, it was possible to determine the AnT through the kinetics of RPE.
Deep Neural Network Approach in EMG-Based Force Estimation for Human–Robot Interaction

In the human–robot interaction, especially when hand contact appears directly on the robot arm, the dynamics of the human arm presents an essential component in human–robot interaction and object manipulation. Modeling and estimation of the human arm dynamics show great potential for achieving more natural and safer interaction. To enrich the dexterity and guarantee the accuracy of the manipulation, mapping the motor functionality of muscle using biosignals becomes a popular topic. In this article, a novel algorithm was constructed using deep learning to explore the potential model between surface electromyography (sEMG) signals of the human arm and interaction force for human–robot interaction. Its features were extracted by adopting the convolutional neural network from the sEMG signals automatically without using prior knowledge of the biomechanical model. The experiments prove the lower error ($< \text{0.4}\,N$) of the designed regression by comparing it with other approaches, such as artificial neural network and long short-term memory. It should be also mentioned that the antinoise ability is an important index to apply this technique in practical applications. Hence, we also add different Gaussian noises into the dataset to demonstrate the robustness against measurement noises by using the proposed model. Finally, it demonstrates the performance of the proposed algorithm using the Myo controller and KUKA LWR4+ robot.
Deflationary Theories of Properties and Their Ontology

ABSTRACT I critically examine some deflationary theories of properties, according to which properties are ‘shadows of predicates’ and quantification over them serves a mere quasi-logical function. I start by considering Hofweber’s internalist theory, and pose a problem for his account of inexpressible properties. I then introduce a theory of properties that closely resembles Horwich’s minimalist theory of truth. This theory overcomes the problem of inexpressible properties, but its formulation presupposes the existence of various kinds of abstract objects. I discuss some ways to reduce these existence assumptions, but ultimately suggest that deflationists can hardly avoid quantification over abstract objects of one sort or another. I conclude that property deflationism is perhaps not as deflationary as some philosophers want it to be, but that it’s still apt to call the position ‘deflationary’.