Miracle-dz/UniFAR-FTUs huggingface dataset:
Lean office e sua aplicabilidade no setor público para redução do lead time

Public services are those that are directly related to the needs of the population and fall under this category of activities such as weeding, sweeping, cleaning public land, removing unused furniture and appliances, and collecting waste, among others. To better serve them, the public administration management model prioritizes efficiency, agility, transparency, optimization of resources and focuses on results, criteria that are not always met in practice and rarely observed by the citizen. Such criteria converge with the objectives of the Lean Office, a methodology that aims to analyze administrative environments in order to identify and reduce waste such as movements, waiting, processing and materials, producing more with less resources. Therefore, the objective of this research is to analyze the contribution of this management philosophy, when applied in a municipal secretariat responsible for receiving demands for public cleaning that has direct contact with the citizen. As a result, the research investigated the administrative process for requesting services from this body, in order to identify waste and its occurrence, in order to propose potential improvements that may contribute adding agility, efficiency and greater user satisfaction. The research methodology consisted of a case study, allied to the bibliographic survey, the planned systematic observation, the application of the Lean Office methodology and the aid of Process Modeling, which together enabled the realization of the AS IS modeling of the same, favoring the recording of existing waste, classifying activities according to frequency and adding value and calculating Lead Time. This analysis favored the TO BE mapping, adding proposals with potential for improvements in the execution and response time by eliminating five activities and the decision point considered the bottleneck of the process. The results obtained showed a large accumulation of waste and points that could be improved, among which the most recurring were strategic, structural and processing. In case of implemented improvement proposals, potentially the secretariat will gain in quality and reliability of information, ease of communication with the citizen and with the outsourced company, as well as having a more effective and quick service, culminating in meeting the user's demands and your satisfaction.
Community Radio in Bhutan

ABSTRACT We look at community media in Bhutan from three important perspectives – the concept of community media in general, a modified self-evaluation tool developed by UNESCO Chair on Community Media, Vinod Pavarala, and the Gross National Happiness index where we show in what way community media may contribute to the growth of rankings within this index and how this index may help to better understand the community media phenomenon in this country. The research is based on desk research and interviews with the key actors in community radio development in Bhutan, in 2019, supported by the first-hand experience gained during conducting research on Bhutan media system gained by one of the authors during visits in this country in the years 2015–2018. In this article we concentrate on local community radio stations located in rural areas: KYD from Khotakpa, Edi from Dechen Pelri and Lhop Community Radio Station from Lotokuche. We highlight the unique context in which community radio in Bhutan functions – the geographical conditions and mountainous terrain, which cause separation from other surrounding indigenous communities, differences in spoken language and the cultivation of their own cultural identity. The over-arching argument in this paper is that local factors are really important to understanding national media systems and that the national government commitment to GNH helps to explain community radio in Bhutan.
NCAPG is a Potential Biomarker for Prognosis of Treatment in Children with High-risk Neuroblastoma

Background High-risk neuroblastoma, as a lethal pediatric tumor, has unfavorable clinical outcomes, and accounts for ~15% of childhood cancer‐related mortality. However, the biomarkers for treatment prognosis have remained largely elusive. The present study sought to identify potential genes associated with the progression and prognosis of high-risk neuroblastoma. Methods The gene expression profiles of neuroblastoma were downloaded from the Gene Expression omnibus (GEO) database, and samples from GSE62564 and GSE16476 were applied as the training set and validation set, respectively. Bioinformatic analysis were performed by R. Subsequently, the biological functions of key gene were investigated by transwell, western blot, and flow cytometry analysis. miRNA that regulated the expression of key gene were predicted and the bind site were validated by luciferase reporter analysis and Q-PCR in children with high-risk neuroblastoma. Results Analysis shown that 120 differentially expressed genes (DEGs) in the blue module were identified to be significantly related to high-risk neuroblastoma by weighted correlation network analysis (WGCNA). After MCODE and Cytohubba algorithm analyses, 26 genes were recognized as hub genes. Subsequently, univariate COX and LASSO regression analyses identified a six-gene signature (NCAPG, UBE2C, MELK, CCNA2, KIF15, and BIRC5) and constructed a prognostic model. The expression of these six genes in high-risk neuroblastoma children was significantly higher than that in non-high-risk neuroblastoma children. These signature genes and the prognostic model demonstrated strong prognostic capability using Kaplan-Meier (KM) curves. Subsequently, NCAPG was selected as key gene and the results indicated that knockdown NCAPG suppressed the migration and invasion, increased the apoptosis rate and decreased the Bcl-2 level in neuroblastoma cells. In addition, the luciferase reporter analysis method showed that miR-495-3p can negatively regulate the expression of NCAPG. Q-PCR indicated that miR-495-3p highly expressed in children with high-risk neuroblastoma. Conclusion Our findings identified that miR-495-3p/ NCAPG could serve as prognostic biomarkers of high-risk neuroblastoma and may advance the understanding of the molecular pathogenesis.
Motivation to study calculus: measuring student performance expectation, utility value and interest

Motivation to learn attracts many researchers in educational contexts. In this study, we propose an instrument tailored towards specifically measuring student motivation in calculus courses at higher education. We outline an extensive instrument development process that was built on (Benson’s 1998. Developing a strong program of construct validation: A test anxiety example. Educational Measurement: Issues and Practice, 17(1), 10–17) validation phases. We use the expectancy-value theory (Eccles et al., 1983. Achievement and achievement motivation. Expectancies, Values and Academic Behaviors, 75–146) and other motivation theories to develop specific measures. This study mainly employs a quantitative methodology in which exploratory and confirmatory factor analyses were conducted. We also used content analysis for validity. The findings of validity and reliability tests led to proposing a 12 item Likert-type instrument with three dimensions– performance expectation, utility value, and interest. Furthermore, the practicality aspect of the instrument is underlined and other implications for future investigations are discussed.
Thick trust, thin trust, social capital, and health outcomes among trans women of color in New York City.

Introduction: Many trans women of color communities experience high HIV seroprevalence, extreme poverty, high rates of victimization and substance use, and poor mental health. Greater knowledge of trans women of color social capital may contribute toward more effective services for this marginalized population. Methods: These data come from a mixed-methods study that examined trans/gender-variant people of color who attended transgender support groups at harm reduction programs in NYC. The study was conducted from 2011 to 12, total N = 34. The qualitative portion was derived from six focus group interviews. Results: Two support groups stood out as exhibiting very strong alternative kinship structures. One group was comprised of immigrant trans Latinas, and the other group were trans women of African descent living with HIV. Both groups demonstrated ample cultivation of "trust capital" in the form of "thick trust" (bonding capital) and "thin trust" (bridging/linking capital) both inside and outside/beyond the support groups. Thick trust included the cultivation of intimacy, support in primary romantic relationships, and community leadership. Thin trust included networking with a variety of organizations, increased educational opportunities, and cultural production. Discussion: Participants "opened up to social capital" through the process of trusting as a series of (1) risks; (2) vulnerabilities; and (3) reciprocities. A solid foundation of thick trust resulted in a social, psychological, and emotional "base. " Upon this foundation, thin trust was operationalized resulting in positive material, economic, and quality-of-life outcomes, leading to an expanded space of capabilities.
The finding and researching algorithm for potentially oscillating enzymatic systems

Many processes in living organisms are subject to periodic oscillations at different hierarchical levels of their organization: from molecular-genetic to population and ecological. Oscillatory processes are responsible for cell cycles in both prokaryotes and eukaryotes, for circadian rhythms, for synchronous coupling of respiration with cardiac contractions, etc. Fluctuations in the numbers of organisms in natural populations can be caused by the populations’ own properties, their age structure, and ecological relationships with other species. Along with experimental approaches, mathematical and computer modeling is widely used to study oscillating biological systems. This paper presents classical mathematical models that describe oscillatory behavior in biological systems. Methods for the search for oscillatory molecular-genetic systems are presented by the example of their special case – oscillatory enzymatic systems. Factors influencing the cyclic dynamics in living systems, typical not only of the molecular-genetic level, but of higher levels of organization as well, are considered. Application of different ways to describe gene networks for modeling oscillatory molecular-genetic systems is considered, where the most important factor for the emergence of cyclic behavior is the presence of feedback. Techniques for finding potentially oscillatory enzymatic systems are presented. Using the method described in the article, we present and analyze, in a step-by-step manner, first the structural models (graphs) of gene networks and then the reconstruction of the mathematical models and computational experiments with them. Structural models are ideally suited for the tasks of an automatic search for potential oscillating contours (linked subgraphs), whose structure can correspond to the mathematical model of the molecular-genetic system that demonstrates oscillatory behavior in dynamics. At the same time, it is the numerical study of mathematical models for the selected contours that makes it possible to confirm the presence of stable limit cycles in them. As an example of application of the technology, a network of 300 metabolic reactions of the bacterium Escherichia coli was analyzed using mathematical and computer modeling tools. In particular, oscillatory behavior was shown for a loop whose reactions are part of the tryptophan biosynthesis pathway
Drought Risk of Global Terrestrial Gross Primary Productivity Over the Last 40 Years Detected by a Remote Sensing‐Driven Process Model

Gross primary productivity (GPP) is the largest flux in the global terrestrial carbon cycle. Drought has significantly impacted global terrestrial GPP in recent decades, and has been projected to occur with increasing frequency and intensity. However, the drought risk of global terrestrial GPP has not been well investigated. In this study, global terrestrial GPP during 1981–2016 was simulated with the process‐based Boreal Ecosystem Productivity Simulator model. Then, the drought risk of GPP was quantified as the product of drought probability and reduction of GPP caused by drought, which was determined using the standardized precipitation evapotranspiration index. During the study period, the drought risk of GPP was high in the southeastern United States, most of South America, southern Europe, central and eastern Africa, eastern and southeastern Asia, and eastern Australia. It was low at some high latitudes of the Northern Hemisphere and in part of tropical South America, where terrestrial GPP increased slightly in drought years. The drought risk of terrestrial GPP was greater during 2000–2016 than during 1981–1999 in 21 out of 24 climatic zones. The global mean drought risk of GPP increased from 13.6 g C m−2 yr−1 during 1981–1999 to 19.3 g C m−2 yr−1 during 2000–2016. The increase in drought risk of GPP was mainly caused by the increase in drought vulnerability. Simulation experiments indicated that the drought vulnerability of GPP was mainly induced by climatic variability. This study advances our understanding on the impact of drought on GPP over the globe.
Impacts on Head Start Dual Language Learning Children’s Early Science Outcomes

The present study examined the roles that language of assessment, language dominance, and teacher language use during instruction play in Dual Language Learner (DLL) science scores. A total of 255 Head Start DLL children were assessed on equated science assessments in English and Spanish. First overall differences between the two languages were examined, then associations between performance on science assessments were compared and related to children’s language dominance, teacher quantity of English and Spanish, and teachers’ academic science language. When examined as a homogeneous group, DLLs did not perform differently on English or Spanish science assessments. However, when examined heterogeneously, Spanish-dominant DLLs performed better on Spanish science assessments. The percentage of English and Spanish used by teachers did not affect children’s science scores. Teachers’ use of Spanish academic science language impacted children’s performance on science assessments, but English did not. The results have implications for the assessment of DLLs and teacher language use during instruction.
Control of a Rehabilitation Robotic Device Driven by Antagonistic Soft Actuators

Stroke is becoming a widely concerned social problem, and robot-assisted devices have made considerable contributions in the training and treatment of rehabilitation. Due to the compliance and continuous deformation capacity, rehabilitation devices driven by soft actuators are attached to widespread attention. Considering the large output force of pneumatic artificial muscle (PAM) and the biological musculoskeletal structure, an antagonistic PAM-driven rehabilitation robotic device is developed. To fulfill the need for control of the proposed device, a knowledge-guided data-driven modeling approach is used and an adaptive feedforward–feedback control approach is presented to ensure the motion accuracy under large deformation motion with high frequency. Finally, several simulations and experiments are carried out to evaluate the performance of the developed system, and the results show that the developed system with the proposed controller can achieve expected control performance under various operations.
Biomass Combustion with in Situ CO2 Capture with CaO. I. Process Description and Economics

A novel concept is proposed to capture CO2 from biomass, burned in a circulating fluidized bed at a sufficiently low temperature (below 700 °C) to allow capture “in situ” by CaO. This step is followed by the calcination of CaCO3 in an interconnected oxy-fuel combustor that delivers a concentrated stream of CO2 suitable for permanent geological storage. A conceptual design and cost estimation exercise is presented and compared with other similar power plant schemes based on biomass and fossil fuels. A sensitivity analysis of the main cost variables reveals that the concept proposed is competitive against other low-carbon systems for lower values of Green Certificates and higher values of a carbon tax. The process could have long-term applications for large-scale biomass-fired systems and medium-term applications in helping large-scale power plants with CO2 capture and storage to meet the target of zero emissions by taking advantage of the negative emissions achieved from CO2 captured from biomass. A second.
Does Symptom Recognition Improve Self-Care in Patients with Heart Failure? A Pilot Study Randomised Controlled Trial

Patients with heart failure have difficulty in self-care management, as daily monitoring and recognition of symptoms do not readily trigger an action to avoid hospital admissions. The purpose of this study was to understand the impact of a nurse-led complex intervention on symptom recognition and fluid restriction. A latent growth model was designed to estimate the longitudinal effect of a nursing-led complex intervention on self-care management and quality-of-life changes in patients with heart failure and assessed by a pilot study performed on sixty-three patients (33 control, 30 intervention). Patients in the control group had a higher risk of hospitalisation (IRR 11.36; p < 0.001) and emergency admission (IRR 4.24; p < 0.001) at three-months follow-up. Analysis of the time scores demonstrated that the intervention group had a clear improvement in self-care behaviours (βSlope. Assignment_group = −0.881; p < 0.001) and in the quality of life (βSlope. Assignment_group = 1.739; p < 0.001). This study supports that a nurse-led programme on symptom recognition and fluid restriction can positively impact self-care behaviours and quality of life in patients with heart failure. This randomised controlled trial was retrospectively registered (NCT04892004).
Quantitative Research on the Evolution Stages of We-media Network Public Opinion based on a Logistic Equation

: We-media network public opinion is a new force in the current social public opinion field that has an important impact on the guidance of social public opinion and social stability. Studying the periodic law of we-media network public opinion dissemination and constructing a quantitative model of we-media network public opinion dissemination stages provide the basis for guiding social public opinion and governing we-media network public opinion dissemination. Based on this, this paper explores the life cycle of we-media network public opinion evolution, analyzes the characteristics and connotations of each evolution stage, and determines the dominant indicators of we-media network public opinion evolution stages; in addition, this paper constructs a logistic quantitative model and its stage refinement model for the evolution and development of we-media network public opinion and uses MATLAB software to simulate the event of the academic fraud of the Chinese actor Zhai. This paper studies the four key points on the logistic curve of we-media network public opinion evolution and the five key intervals, analyzes the connotation of the quantified stage of each interval, and puts forward the governance strategy of we-media network public opinion events, through the simulation of initial values, growth rates and upper limits.
Utilizing DNase I and graphene oxide modified magnetic nanoparticles for sensing PD-L1 in human plasma

Purpose Based on DNase I and reduced graphene oxide (rGO)-magnetic silicon microspheres (MNPS), a highly sensitive and selective fluorescent probe for the detection of PD-L1 was developed. Design/methodology/approach Here °C we present a feasibility of biosensor to detection of PD-L1 in lung tumors plasma. In the absence of PD-L1°C the PD-L1 aptamer is absorbed on the surface of graphene oxide modified magnetic nanoparticles °8rGO-MNPS°9 and leading to effective fluorescence quenching. Upon adding PD-L1°C the aptamer sequences could be specifically recognized by PD-L1 and the aptamer/PD-L1 complex is formed°C resulting in the recovery of quenched fluorescence. Findings This sensor can detect PD-L1 with a linear range from 100 pg mL−1 to 100 ng mL−1, and a detection limit of 10 pg•m−1 was achieved. Originality/value This method provides an easy and sensitive method for the detection of PD-L1 and will be beneficial to the early diagnosis and prognosis of tumors.
Mechanistic analysis of bladder cancer suppression by brassicasterol in a rat model of N‐butyl‐N‐(4‐hydroxybutyl)nitrosamine‐induced bladder cancer

We previously clarified that the herbal medicine Polyporus Sclerotium, a constituent of Choreito, has an inhibitory effect on bladder carcinogenesis and that ergosterol is the active ingredient. In addition, we showed that this action of ergosterol may be caused by the metabolite brassicasterol. Here, we aimed to elucidate the detailed molecular mechanism by which brassicasterol inhibits bladder carcinogenesis.
Work-related ICT use during off-job time, technology to family conflict and segmentation preference: a study with two generations of employees

ABSTRACT The widespread use of ICT, namely the use of smartphones, has dramatically altered the way organizations communicate with employees, leading to flexibility in work schedules that frequently encompass extending the workday. In the current workforce there are different generations, and this can affect the way that ICT use for work purposes during off-job time is perceived. In the current study, we examine whether organizational expectations towards after-hours communications for work purposes (off-job e-communication expectations) and perceptions of technology as causing family conflict (technology to family conflict), may be experienced differently by two generations of employees. Moreover, segmentation preference is examined as a moderator of the relationship between off-job e-communication expectations and technology to family conflict. Data from 238 employees that reported to have used, over the last 6 months, their ICT for work purposes during non-work time, from various industries were collected. Findings revealed that segmentation preferences are related to technology to family conflict directly for both groups. It was also found that for the older employee group off-job e-communication expectations are related to technology to family conflict. Implications for organizations are discussed.
Vibration Source Signal Separation of Rotating Machinery Equipment and Robot Bearings Based on Low Rank Constraint

With the development of industrial robots and other mechanical equipment to a higher degree of automation, mechanical systems have become increasingly complex. This represents a huge challenge for condition monitoring. The separation of vibration source signals plays an important role in condition monitoring and fault diagnosis. The key to the separation method of the vibration source signal is prior knowledge, such as of the statistical features of the vibration source signal, the number of vibration sources, and so forth. However, effective prior knowledge is difficult to obtain in engineering applications. This study found that low rank is a common feature of rotating machinery vibration source signals. To address the problem of the difficulty obtaining the signal feature of a vibration source, the multi-low-rank constrained vibration source signal separation method was proposed. Its advantages and effectiveness have been verified through simulations and experimental tests. Compared with the blind source separation method of independent component analysis (BSS-ICA) and the ensemble empirical mode decomposition (EEMD) methods, it obtained better clustering results and higher signal-to-signal ratio (SSR) values.