Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationality, Individuality and Entanglements of Helping in the Context of a Touristic Vaccine Trial

This article explores the idea of relationality and distributive agency in the context of a clinical vaccine trial. The diarrhoea vaccine trial was conducted in Western Africa, but as a unique element, recruited Finnish adults as trial participants, who travelled to the trial site to West Africa. Engaging with previous research on clinical trials in the global South that has emphasized the relationality and social embeddedness of Southern trial subjects, this article argues for an enacted social-material relationality of any research subject. As the vaccine trial under study transformed into practices and ideas of helping, the analysis illustrates forms of relational subjectivity and distributive agency by focusing on the notion of helping. The analysis is based on the trial participants’ accounts and practices, and draws on qualitative interviews (51) and ethnographic observation conducted between 2017 and 2019 at the trial site in West Africa.
Prevalence of metabolic syndrome and its components in Brazilian adolescents: a systematic review and meta-analysis

Abstract Objective: To determine the prevalence of metabolic syndrome (MS) and its components among Brazilian adolescents. Data source: Databases, such as LILACS, MEDLINE, and SciELO, were searched for original cross-sectional studies published between 2010 and 2021. The inclusion criteria were determined based on the mnemonic CoCoPop — Condition, Context, and Population: studies determining the prevalence of MS and its components (condition) in the general population of Brazilian adolescents, female and male (population), enrolled in public or private schools in rural or urban areas (context). Reviews, editorials, and articles that did not directly relate to the prevalence of MS or that included non-adolescent age groups or groups with specific health conditions (obesity/overweight and others) were excluded. Data synthesis: A total of 15 studies, including 43,227 adolescents, were identified. MS prevalence (95% confidence interval [95%CI]) was 2.9% (2.65–3.18) and 2.4% (1.90–2.90) (p<0.001) in males and females, respectively, by using the International Diabetes Federation (IDF) criteria. There was a significant difference in MS prevalence among Brazilian regions (Q=24.7; p<0.001). The lowest MS prevalence (95%CI) was determined for North Region of Brazil, 1.8% (1.52–2.13), and the highest for Northeast Region of Brazil, 2.9% (2.62–3.23). Regarding MS components, a higher prevalence (95%CI) was found for low high-density lipoprotein (HDL), 22.1% (12.49–36.17), followed by abdominal obesity, 11.0% (8.05–14.94), and arterial hypertension, 10.3% (7.84–13.48). Conclusions: This study allowed the determination of the prevalence of MS and the MS components in Brazilian adolescents, highlighting relevant aspects to be addressed on public health management.
And then there were three: (re-)distributing educational responsibilities in response to the growing use of shadow education in the Netherlands

ABSTRACT Over the past two decades, as in many countries, the use of private tutoring (‘shadow education’) has increased substantially in the Netherlands. Educators and policy makers are raising questions regarding the role that shadow education may play in relation to the traditional configuration of the home and school being assigned the responsibility for children’s education. In five mixed focus groups (n = 43), the authors explored what key players – teachers, parents and tutors – consider to be their own and each other’s pedagogical and educational responsibilities. Results show that two related tensions arise during role allocation: first, the normative question of whether a tripartite configuration which includes tutoring should be accepted or defied; and, second, concerns about tutoring not being equally accessible to students from all social classes. The study indicates that stakeholders’ explication of mutual perspectives on individual and shared roles may yield new schemes of cooperation that are based on collaborative responsibility, rather than competition about individual responsibilities, for student learning.
PyPore3D: An Open Source Software Tool for Imaging Data Processing and Analysis of Porous and Multiphase Media

In this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). The Pore3D core library is built with a distinction between the User Interface and the backend filtering, segmentation, morphological processing, skeletonisation and analysis functions. The current Pore3D version relies on the closed source IDL framework to call the backend functions and enables simple scripting procedures for streamlined data processing. PyPore3D addresses this limitation by proposing a full open source solution which provides Python wrappers to the the Pore3D C library functions. The PyPore3D library allows the users to fully use the Pore3D Core Library as an open source solution under Python and Jupyter Notebooks PyPore3D is both getting rid of all the intrinsic limitations of licensed platforms (e.g., closed source and export restrictions) and adding, when needed, the flexibility of being able to integrate scientific libraries available for Python (SciPy, TensorFlow, etc.).
Sustainable Textile Industry: An Overview

The purpose of this study was to offer a general concept and overview of the textile industry’s environmental sustainability assessment. The textile and garment industries cause environmental damage at every stage of manufacturing, from the cultivation of raw materials through the disposal of finished goods. Chemical loading, high water consumption, high energy consumption, air pollution, solid waste, and odour creation are all key environmental concerns in the textile industry. To achieve sustainable production, it is necessary to examine the performance of the textile sector while considering the three elements of sustainability. To study and locate recent and related works, five keywords were used: environmental; sustainability; eco-design; manufacturer; supply chain management. All through the life cycle of textile products, the textile sector has a substantial environmental impact. This paper illustrates how the textile industry may use strategic ways to improve ecologically sustainable textile product usage and manufacturing. A discussion is focused on how to be increased sustainability in the textile industry. This paper introduces key principles for ecologically sustainable business practices to consider (e.g., eco-design, corporate social responsibility, and green supply chain management). It is critical that all stakeholders in the textile industry, including consumers, producers, environmental protection is emphasized in the manufacture and use of textile goods by the distribution chain and customers.
Treatment of extensive post-burn deformities using extra-large sheets of full thickness skin grafts

Post burn scarring and contractures that affect function remain one of the most frustrating late complications of burn injury. Split thickness skin grafting (STSG) is still the most commonly used method for achieving skin coverage of massive raw areas. In this study, we were able to harvest 14 extra-large sheets of full thickness skin grafts (FTSGs) taken from different areas (back, abdomen and breasts after reduction mammoplasty) to treat extensive post burn contractures and scarring in 10 patients. We could cover raw areas up to 7% Of the TBSA which regained function with less morbidity and more aesthetic results than do STSGs. The results were also satisfactory in 9 patients, yet, only one patient was not satisfied with the result.
Clinical and Aberrometric Evaluation of a New Monofocal IOL with Intermediate Vision Improvement

Purpose The aim of the study was to evaluate the visual outcomes, aberrometric results, and subjective and objective optical qualities 12 months after implantation of a new monofocal intraocular lens (Physiol IsoPure 1.2.3) in comparison with a standard monofocal intraocular lens (Tecnis PCB00). Materials and Methods Cataract patients without ocular comorbidities had bilateral implantation of the IsoPure IOL or the PCB00 IOL. One month after eye surgery, the visual acuity and monocular defocus curve were assessed. Twelve months after surgery, the visual acuity, binocular defocus curve, contrast sensitivity, and subjective/objective optical quality were assessed. Furthermore, wavefront analysis was performed. The primary endpoint was the best distance correct/uncorrected visual acuity at intermediate and far distances. The secondary endpoint was an aberration evaluation of the IOLs and contrast sensitivity. Results The study comprised a total of 42 patients (84 eyes). Monocular and binocular uncorrected and corrected distance were similar between groups, and uncorrected intermediate visual acuity was significantly higher in the IsoPure group. There was no difference in contrast sensitivity and subjective and objective optical qualities. The optical aberrations at 3.0 and 5.0 mm aperture diameters were similar in both groups. Conclusion The IsoPure IOL, based on greater depth of focus than the aspheric monofocal IOL, may offer a good option for the distance and intermediate vision without increasing optical aberrations and any photic phenomena.
Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network

Traditional electricity price forecasting tends to adopt time-domain forecasting methods based on time series, which fail to make full use of the regional information of the electricity market, and ignore the extra-territorial factors affecting electricity price within the region under cross-regional transmission conditions. In order to improve the accuracy of electricity price forecasting, this paper proposes a novel spatio-temporal prediction model, which is combined with the graph convolutional network (GCN) and the temporal convolutional network (TCN). First, the model automatically extracts the relationships between price areas through the graph construction module. Then, the mix-jump GCN is used to capture the spatial dependence, and the dilated splicing TCN is used to capture the temporal dependence and forecast electricity price for all price areas. The results show that the model outperforms other models in both one-step forecasting and multi-step forecasting, indicating that the model has superior performance in electricity price forecasting.
THE EFFECT OF WAGES AND FINANCIAL BEHAVIOR ON THE FINANCIAL WELFARE OF LABOR-INTENSIVE WORKERS CASH MAINTENANCE OF ROADS AND BRIDGES MOJOKERTO REGENCY

This study aims to determine the effect of wages and financial behavior of workers on the financial welfare of cash-intensive workers on road and bridge maintenance in Mojokerto Regency during the Covid-19 pandemic, where there is a high percentage of unemployment from the impact of Covid-19 in Mojokerto Regency. With the government's policy on cash labor-intensive programs to overcome the impact of this pandemic, where daily workers are paid once a week according to the district minimum wage, whether the wages can improve the welfare of workers and their families or from the workers themselves who do not manage their finances so that they are not prosperous. This research is quantitative research with data collection using a questionnaire. The population used is all workers daily cash labor-intensive program of maintenance of roads and bridges in Mojokerto as many as 90 people. This study used samples with the census method. Data processing techniques using partial least square analysis. The results of this study concluded that workers' wages have a significant positive effect on the level of the financial welfare of cashintensive workers and financial behavior has a significant positive effect on the level of the financial welfare of cash-intensive workers.
A dyadic approach to the study of perceived subfecundity and contraceptive use

BACKGROUND There is an increasing literature on women’s perception of subfecundity and contraceptive use, with studies showing that women with perceived difficulties conceiving are more likely to have an unintended pregnancy because of a lower reliance on contraception. There is little research investigating the correlates of perceived subfecundity, and quantitative investigation of couple-level perceived subfecundity appears absent from the literature, which is somewhat surprising, as the inability to have a child is a couple-level outcome. Furthermore, most studies that relate to perceived subfecundity and the use of contraception, or lack thereof, are typically limited to young adults. and to investigate the relationship between perceived
Psychosocial impact and coping strategies of frontline healthcare workers in Western Rajasthan during COVID-19 pandemic

Background and Aims: Coronavirus disease-2019 (COVID-19) pandemic-related stress is an important but under-rated issue needing attention. Stress and causative factors vary between the regions and individuals depending on the availability of resources, socio-cultural differences, and individual perceptions. We aimed to study the psychosocial impact and coping strategies among the healthcare workers (HCWs) in Western Rajasthan during COVID-19 pandemic. Material and Methods: This questionnaire-based observational study, consisting of 59 questions in 6 sections, was conducted to identify stress, causative factors, coping strategies, and experiences of HCWs working in personal protective equipment (PPE). Chi-square test was used to compare the responses between different subgroups. Results: Majority of the HCWs felt responsible for treating COVID-19 patients (98.8%), but also felt that it was affecting their safety (81.4%). On subgroup analysis, doctors were found to be more stressed than nursing staff (P = 0.004). Major stressors included concerns about infecting family members and lack of specific treatment for COVID-19 (87.5%). Family support was found to be a major stress-relieving factor (97.3%). Most HCWs suggested that comfortable quarantine stay, adequate supply of PPE, and equipments would help in reducing stress. Conclusion: Frontline HCWs in Western Rajasthan were under significant stress during COVID-19 pandemic. We found that stress-causing factors and coping strategies varied between different subgroups based on profession, gender, and age. We recommend conducting such studies in different regions of the world to develop relevant and region-specific strategies to help HCWs cope with stress more efficiently, thereby, strengthening the healthcare system to deal with future pandemics.
Derivation of Fragility Functions for Seismic Assessment of RC Bridge Portfolios Using Different Intensity Measures

ABSTRACT Macro-scale seismic assessment of road networks requires the characterization of the vulnerability of the population of existing bridges, typically provided by fragility curves as they correlate the probability of exceeding specific limit states at different levels of intensity measures (IM). The available literature mainly provides functions of peak ground or spectral accelerations, developed using single structures. However, when dealing with a population of reinforced concrete (RC) bridges, recent research has identified different IMs as more promising. This paper carries out a statistically sound comparison of improved analytical fragility curves by means of nonlinear static analysis of 3D RC bridge models.
Antibacterial Properties of PMMA Functionalized with CuFe2O4/Cu2O/CuO Nanoparticles

We have prepared a composite thin coating by incorporation of CuFe2O4/Cu2O/CuO nanoparticles in polymethyl methacrylate (PMMA) matrix by using the solution casting method. The electrical explosion of two twisted wires (EETW) was used to obtain multicomponent CuFe2O4/Cu2O/CuO nanoparticles with an average particle size of 20–70 nm. The microscopic studies showed that the nanoparticles in the composite coatings are evenly distributed. However, nanoparticles are strongly agglomerated as the powder concentration in the coating increases to 5 wt. % and 10 wt. %, as the size of particle agglomerates increases to 50 and 100 μm, respectively. Therefore, nanoparticles were pre-treated with ultrasound when introduced into the PMMA matrix. The thermal stability of the composite coating does not change with the introduction of CuFe2O4/Cu2O/CuO nanoparticles in the amount of 5 wt. %. The inclusion of nanoparticles in the PMMA matrix significantly enhances its antibacterial activity. The addition of 5 wt. % nanoparticles inhibited the growth of E. coli by 100% and the growth of MRSA by 99.94% compared to pure PMMA already after 3 h of exposure of bacteria on the surface of the composites. This research provides an easy-to-manufacture and cost-efficient method for producing a CuFe2O4/Cu2O/CuO/PMMA composite coating with a broad application as an antibacterial material.
Effect of Different Obturation Techniques on Sealer Penetration into Dentinal Tubules after Final Irrigation with XP-Endo Finisher File

The first objective of this research was to evaluate the effectiveness of XP-Endo Finisher on dentinal tubule penetration of irrigation solution using confocal laser scanning microscopy. The main purpose of this research was to compare the effect of cold lateral condensation, continuous wave obturation and core-carrier based techniques on sealer penetration. Sixty mandibular premolars were prepared and allocated into two experimental groups (n=30) as the final irrigation technique and obturation technique experiment. In the final irrigation technique experiment, final irrigation was performed with XP-Endo Finisher, passive ultrasonic irrigation (PUI) and conventional needle irrigation (CNI) (n=10). The roots in the obturation technique experiment were also assigned into 3 groups and obturated with cold lateral condensation, continuous-wave obturation and core-carrier techniques (n=10). The most effective activation method, which emerged as a result of the first part of this study, was used as the final irrigation method in the obturation technique experiment. Then, all roots were sectioned in 1-mm-thick slices at 3mm from the apex for scanning. In terms of depth and percentage of material penetration, CNI exhibited significantly the lowest values and no significant difference was found between others. Also, there was no significant difference among obturation methods. In conclusion, XP-Endo Finisher and PUI are more effective than CNI on irrigant penetration. Sealer penetration into dentinal tubules is independent of obturation techniques.
SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search

Differentiable neural architecture search (NAS) is an emerging paradigm to automate the design of top-performing convolutional neural networks (CNNs). Nonetheless, existing differentiable NAS methods suffer from several crucial weaknesses, such as inaccurate gradient estimation, high memory consumption, search fairness, etc. In this work, we introduce a novel hardware-aware differentiable NAS framework, namely SurgeNAS, in which we leverage the one-level optimization to avoid inaccuracy in gradient estimation. To this end, we propose an effective identity mapping regularization to alleviate the over-selecting issue. Besides, to mitigate the memory bottleneck, we propose an ordered differentiable sampling approach, which significantly reduces the search memory consumption to the single-path level, thereby allowing to directly search on target tasks instead of small proxy tasks. Meanwhile, it guarantees the strict search fairness. Moreover, we introduce a graph neural networks (GNNs) based predictor to approximate the on-device latency, which is further integrated into SurgeNAS to enable the latency-aware architecture search. Finally, we analyze the resource underutilization issue, in which we propose to scale up the searched SurgeNets within Comfort Zone to balance the computation and memory access, which brings considerable accuracy improvement without deteriorating the execution efficiency. Extensive experiments are conducted on ImageNet with diverse hardware platforms, which clearly show the effectiveness of SurgeNAS in terms of accuracy, latency, and search efficiency.
Analysis of the capital structure and debt heterogeneity of publicly traded companies in the industrial and agribusiness sector

Purpose: In recent years, the subsidized credit provided by the Brazilian government to some sectors of the economy through financing lines, such as FINAME, FIDIC, from BNDES, may have resulted in a reduction in the costs of the capital structure. Thus, the purpose of this work is to verify if there was a reduction in the cost of capital of publicly traded companies in two important economic sectors, the industrial sector and sectors related to agribusiness. Methodology: Information regarding financing sources, financing amount, currency and interest rates were collected from the Explanatory Notes to the financial statements of 84 publicly traded companies and used to calculate the weighted average cost of capital of the financing sources at subsidized rates and not subsidized. Results: The results show that loans with subsidized rates present a great variability in the participation of loans with subsidized rates in the composition of financing of companies, but showing, on average, a low percentage in the composition of indebtedness, and that the effective rates averages of subsidized loans may be higher than the average effective rates of non-subsidized loans, suggesting that subsidized credits, in proportion to which they have been used to compose the financing, may not play a relevant role in reducing the costs of the capital structure of companies Contributions of the Study: This work contributes to the identification of relevant factors that explain how companies determine their capital structure, providing administrators with indications on which factors are preponderant in the practical performance of companies' capital structure policy.
Work Effort: A Conceptual and Meta-Analytic Review

Work effort has been a key concept in management theories and research for more than a century. Maintaining and increasing employee effort also is a persistent concern to managers. The goal of the present conceptual and meta-analytic review was to increase clarity and consensus regarding what effort is and how to measure it. First, we reviewed conceptualizations of effort and provided an integrated definition that views effort as a direct outcome of motivation that captures (a) what employees work on, (b) how hard they work, and (c) how long they persist in that work. Second, we identified four main ways researchers have operationalized effort and meta-analytically studied the effects of each operationalization on effort–job performance relationships. For example, measures that assessed multiple dimensions of effort (ρ = .37) tended to relate more strongly to performance than measures that focused on only one dimension (e.g., effort intensity) or on effort more generally (ρ = .18 to .29). Third, we developed and meta-analytically tested a nomological network to gain a better understanding of effort's antecedents (e.g., intrinsic motivation, ρ = .46; performance orientation, ρ = .12) and outcomes (e.g., job performance, ρ = .34; exhaustion, ρ = .04) as well as constructs that appear to overlap with effort (e.g., work engagement, ρ = .48; grit, ρ = .51). Finally, on the basis of our conceptual and meta-analytic reviews, we delineated an agenda for future research on this central, yet often misunderstood, construct.