Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Job Satisfaction Prediction Models for Construction Workers: CART vs. Neural Network

: To establish a suitable prediction model of construction workers' job satisfaction, this study chooses the widely used models CART (Classification and Regression Tree) and NN (Neural network) in the prediction model to make a comparison and finds out the main influencing factors of construction workers' job satisfaction in occupational health and safety training. Through the investigation and analysis of 280 cases of empirical data, it is found that the CART model based on Kappa value and Accuracy of categorical variables have a better prediction effect, and the main factors affecting job satisfaction are job categories, working days per week and the latest training time. The main innovation of this paper is to add the actual value set of empirical data on the basis of the usual training set, verification set, test set and prediction set, and draw a conclusion by comparing the predicted value with the actual value of kappa.
The Influence of Urban Sprawl on Air Pollution and the Mediating Effect of Vehicle Ownership

Based on the panel data of 224 prefecture-level and above cities in China from 2003 to 2016, this paper empirically studies the impact of urban sprawl on air pollution and introduces a mediating effect model to test the mediating role of vehicle ownership concerning the impact of urban sprawl on air pollution. The research in this paper arrives at three conclusions. First, urban sprawl has a significant positive effect on air pollution, and this conclusion is still valid after solving the endogeneity problem and conducting a robustness test. Second, the results of mediating effect test show that urban sprawl indirectly affects air pollution through the partial mediating effect of vehicle ownership. By removing the mediating effect, urban sprawl has a significant negative impact on air pollution, indicating that the mediating effect of vehicle ownership is higher concerning the impact of urban sprawl on air pollution. Third, further panel quantile regression results show that the higher the level of air pollution, the weaker the mediating effect of vehicle ownership and the stronger the direct effect of urban sprawl on air pollution. These conclusions can provide some empirical support for solving the air pollution problems caused by urban sprawl in China.
Jogo digital para auxiliar os alunos do 1º ao 3º ano do Ensino Fundamental na atividade do ditado

Este artigo apresenta o desenvolvimento do jogo digital intitulado Ditado Lúdico,que tem por intuito auxiliar os alunos do 1º ao 3º ano do Ensino Fundamental(EF) no processo de aquisição da escrita, através da atividade do ditado. No desenvolvimento do jogo foram empregadas as tecnologias Unity e Firebase. Ditado Lúdico está disponível para as plataformas Windows para desktop e Android para mobile. O jogo foi avaliado por três professores que lecionam no Ciclo I do EF, onde os resultados obtidos apontam que este promove o desenvolvimento da autonomia e da motivação,além de manter o aluno engajado durante a realização da atividade do ditado.
Generic personal safety applications: empowering victims of domestic violence and abuse? A practitioner lens

Bespoke and generic domestic violence and abuse (DVA) personal safety applications (PSAs) have become a popular choice for strategic crime prevention projects by those in the criminal justice sector to achieve justice through digital means as part of the wider digital justice project. These PSAs have been heralded as tools for the protection, empowerment and resilience building of victims in DVA, despite limited independent evaluations. This article explores the use of a generic PSA, which the police have adopted for rollout to victims of DVA in one region of the United Kingdom. We undertook a thematic analysis of data taken from a roundtable and three follow up focus groups with practitioners from the police, criminal justice, DVA specialist sector and victim services, alongside the PSA development team. We found both some support for using this PSA and serious concerns regarding its use in DVA situations.Key messagesThere are limits to the use of generic personal safety applications in domestic violence and abuse support including, risks of entrapment through technological affiliated abuse, reinforcing victim stereotypes, and being financially inaccessible to victims of domestic violence and abuse.Independent evaluations are integral to avoid organisational responses where generic personal safety applications may be ineffectual, or escalate danger by failing to facilitate victim safety.
An EMG-Based Deep Learning Approach for Multi-DOF Wrist Movement Decoding

In robotics, decoding complex human movements of multiple degrees of freedom from surface electromyography (sEMG) remains challenging. Recently, the rapid development of artificial intelligence (AI) technology provides a new solution to this problem. In this article, we propose an AI-based framework that consists of a series of deep learning approaches for achieving a precise and robust decoding on three-dimensional (3-D) wrist movements. A previously developed device (wrist movement detector) was utilized to tag the myoelectric signals with 3-D kinematic labels. A public dataset (HIT-SimCo) was established, wherein the sEMG signals were collected from diverse wrist movements and multiple subjects. A lightweight convolutional neural network was constructed, which can extract the motion-related features directly from raw sEMG, and make motion predictions in an end-to-end manner. In addition, several data augmentation strategies were explored to improve the robustness of the model against environmental variations; and a fine-tuning policy was proposed to further improve the subject-specific accuracy. The decoding model was finally tested in three scenarios: a robotic arm/hand system performing daily-living tasks (pouring, screwing, etc.), a supernumerary robotic hand playing blocks-building, and a virtual prosthesis conducting motor rehabilitation training.
Determinants Influencing The Application of Management Accounting: The Case of Vietnam

The study aimed to determine the factors influencing the level of application of management accounting in feed production firms in Vietnam. Data were collected from the survey of 228 feed production firms in Vietnam. The study employs the combination of qualitative and quantitative methods with building multivariate regression models of determinants affecting the application of management accounting in those firms. The results contribute to building a multivariate regression model of factors affecting the application of management accounting in food production firms. Based on the findings, some recommendations are proposed for improving the effectiveness of applying management accounting in Vietnamese food production firms.
Understanding of comical texts in people with different types of attitudes towards humour

This study aimed to test a hypothesis about the correlation between levels of gelotophobia, gelotophilia, and katagelasticism and understanding of Internet memes as a specific form of humour. Participants were 45 native speakers of Russian (aged 18 – 30; 73,3 % female). The levels of Internet memes understanding were assessed independently by two judges with the use of criteria based on the results of a series of semi-structured in-depth interviews. Gelotophobia, gelotophilia, and katagelasticism were assessed with PhoPhiKat <30> questionnaire. J. Raven’s “Standard Progressive Matrices” test was used to control the level of psychometric intelligence. Concordance of judges’ scores for the understanding of memes was assessed with Kendall’s W and ranged from 0.71 to 0.84. Spearman’s rank correlation coefficient was used to test the main hypothesis. We found no correlation between the scores for gelotophobia, gelotophilia, and katagelasticism and understanding of Internet memes. Presumably, the type of attitude towards humour does not play a significant role in the understanding of comical texts. The qualitative content analysis of the interview protocols revealed some specific features of cognitive mechanisms of Internet memes understanding. Namely, successful participants with higher levels of understanding of Internet memes reflected more on their thinking process than those with lower levels of understanding of Internet memes, easily switched from an abstract level of reasoning to a concrete one, and tended to consistently develop detailed mental representations of the memes.
Thermal tolerance and preference are both consistent with the clinal distribution of house fly proto‐Y chromosomes

Selection pressures can vary within localized areas and across massive geographical scales. Temperature is one of the best studied ecologically variable abiotic factors that can affect selection pressures across multiple spatial scales. Organisms rely on physiological (thermal tolerance) and behavioral (thermal preference) mechanisms to thermoregulate in response to environmental temperature. In addition, spatial heterogeneity in temperatures can select for local adaptation in thermal tolerance, thermal preference, or both. However, the concordance between thermal tolerance and preference across genotypes and sexes within species and across populations is greatly understudied. The house fly, Musca domestica, is a well‐suited system to examine how genotype and environment interact to affect thermal tolerance and preference. Across multiple continents, house fly males from higher latitudes tend to carry the male‐determining gene on the Y chromosome, whereas those from lower latitudes usually have the male determiner on the third chromosome. We tested whether these two male‐determining chromosomes differentially affect thermal tolerance and preference as predicted by their geographical distributions. We identify effects of genotype and developmental temperature on male thermal tolerance and preference that are concordant with the natural distributions of the chromosomes, suggesting that temperature variation across the species range contributes to the maintenance of the polymorphism. In contrast, female thermal preference is bimodal and largely independent of congener male genotypes. These sexually dimorphic thermal preferences suggest that temperature‐dependent mating dynamics within populations could further affect the distribution of the two chromosomes. Together, the differences in thermal tolerance and preference across sexes and male genotypes suggest that different selection pressures may affect the frequencies of the male‐determining chromosomes across different spatial scales.
Review of Clinical and radiological outcome of 3- and 4-part proximal humerus fracture managed with J nails in elderly osteoporotic individuals.

Introduction: Proximal humeral fracture is 3rd most common fracture in elderly population.Selection of appropriate implant is always challenging to get optimum results in theseosteoporotic bones. Though locking plates are gold standard, major complications range from9% to 36%. Many percutaneous fixation techniques described in the literature are associated with pin site infections, pin backout and loss of reduction.Objective: To study clinical and radiological outcome of J nail technique for Neer’s three orfour part proximal humeral fractures in patients more than 60 years age.Materials and Method: We retrospectively studied 60 patients of 3 or 4 part proximal humeral fractures, >60 years of age treated with J nail technique from the period of 2015 to 2017. J nails were made using 2 mm 12 inches blunt tip L (Lambrinudi) wires. At final follow-up, clinical outcome was assessed using Constant Score and radiological evaluation was done according to the Bahr criteria. Statistical analysis was performed.Results: The mean Constant Score at final follow-up was 90. The postoperative reduction was excellent in 98% of patients and remained excellent in 90%. The mean postoperative neck shaft angle was 135.0° and final neck shaft angle was 131.4°. No deep infection was seen. No avascular necrosis of humeral head was found till follow up upto 2 yrs.Conclusions: Our study suggests that the functional and radiological outcomes obtained with J nailing are excellent and similar to locking plates and percutaneous Kirschner wire fixation with many other advantages of being simple, minimally invasive, avoiding muscle transfixation and no pin site infections. This surgical technique can be considered as one of the effective technique for fixation of proximal humeral fractures in elderly osteoporotics.
Time-Delay-Neural-Network-Based Audio Feature Extractor for Ultra-Low Power Keyword Spotting

In this brief, we propose an audio feature extractor, based on a time delay neural network (TDNN), for ultra-low power keyword spotting (KWS). Conventionally, mel-frequency cepstrum coefficients (MFCCs) are widely used as features for KWS. However, an analog-to-digital converter (ADC) with high precision and high sampling rate is required for computing MFCCs, which consumes large amount of power. In our proposed feature extractor, on the other hand, input audio signals are band-pass filtered, and then the filtered signals are processed in TDNN in the analog domain, which can substitute a high precision ADC with simple clocked comparators. Simulation results show that the power dissipation of the proposed feature extractor can be reduced by 88% compared to the conventional MFCC feature extractor.
From ‘Pretty’ to ‘Pretty Powerful’: The communicatively constituted power of facial beauty’s performativity

The face is a significant locus of power upon which judgements concerning a person’s status, worth and attractiveness are made. This study contributes to knowledge of facial norms’ shifting performative power in daily organizing, theorizing facial beauty as a communicatively constituted authoritative text. We achieve this through blending Butlerian and communication as constitutive of organization (CCO) theorizing. This allows us to enrich understandings of power and performativity’s necessarily entangled and co-constitutive unfolding, as we trace how a normative understanding of facial beauty becomes more and/or less performatively powerful through embodied-textual processes. Our theorizing is generated from an ethnography of a UK cosmetics firm and demonstrates how facial beauty functions as a (figurative) authoritative text that corporealizes, subjectivizes and is resisted by makeup artists within a confluence of (concrete) text and conversation. We show how through communicative, citational and embodied processes of corporealization, regulation and subjection, everyday performances like makeup applications become performatively powerful on the ground level of interaction. Further, returning authoritative texts to their original figurative formulation uncovers something of how their transformative power shapes organizing’s ongoing accomplishment.
Rodent Virus Diversity and Differentiation across Post-Katrina New Orleans

Concern about elevated disease risk following disasters has been growing with the progression of global trends in urbanization and climate, in part because shifts in socioecological conditions can promote greater human contact with pathogen reservoirs in cities. Remarkably little is known, however, about the diversity and distributions of pathogens carried by commensal reservoirs across disaster-affected urban landscapes. To address this deficit, we characterized the assemblage structure of viruses in the serum of three widespread commensal rodents (Rattus norvegicus, Rattus rattus, and Mus musculus) that were trapped in New Orleans (LA, USA) following Hurricane Katrina. We assessed virus diversity and differentiation according to host species identity, co-occurrence and abundance, as well as prevailing landscape features known to shape urban rodent assemblages. We detected ≥34 viruses in total, including several pathogens of concern, through metagenomic analysis of serum taken from ≥149 individuals of each host species. We found that virus richness as well as assemblage composition and spatial differentiation differed by host species. Notably, we detected associations with host species co-occurrence and abundance, and while we found that assemblage structure varied by study area, we did not detect strong associations with landscape features known to influence rodent hosts. Evidence that virus diversity and assemblage structure reflect host identity more so than other factors indicates that biotic benchmarks might serve as prognostic indicators of post-disaster pathogen exposure risk in cities worldwide.
Fuel consumption and aftertreatment thermal management synergy in compression ignition engines at variable altitude and ambient temperature

New regulations applied to the transportation sector are widening the operation range where the pollutant emissions are evaluated. Besides ambient temperature, the driving altitude is also considered to reduce the gap between regulated and real-life emissions. The altitude effect on the engine performance is usually overcome by acting on the turbocharger control. The traditional strategy assumes to keep (or even to increase) the boost pressure, that is, compressor pressure ratio increase, as the altitude is increased to offset the ambient density reduction, followed by the reduction of the exhaust gas recirculation to reach the targeted engine torque. However, this is done at the expense of an increase on fuel consumption and emissions. This work remarks experimentally the importance of a detailed understanding of the effects of the boost pressure and low-pressure exhaust gas recirculation (LP-EGR) settings when the engine runs low partial loads at different altitudes, accounting for extreme warm and cold ambient temperatures. The experimental results allow defining and justifying clear guidelines for an optimal engine calibration. Opposite to traditional strategies, a proper calibration of the boost pressure and LP-EGR enables reductions in specific fuel consumption along with the gas temperature increase at the exhaust aftertreatment system.
Social Work Practice with Ethnic Minorities during the COVID-19 Pandemic: Learning from the Arab Minority in Israel

Although the critical role of social workers in the fight against the spread of the coronavirus (COVID-19) pandemic and support for communities affected by the virus was stressed in international declarations of the social work profession, how social workers fulfil their role in practice has remained virtually unexplored. This question is of greater importance when it comes to ethnic minority communities that may be disproportionately vulnerable to COVID-19 in light of inequities, discrimination and marginality. This study examined action strategies adopted by social workers in the public service in response to the challenges faced by ethnic minorities during the COVID-19 pandemic. For this purpose, twenty-five in-depth interviews were conducted with social workers employed in the public welfare services in Israel, who work with Arab communities. Research findings revealed seven action strategies that have the potential to provide protection and support to a minority population group during the pandemic, bridge language and cultural gaps and promote policies that strive for social justice. The discussion emphasises the need and importance of social workers to act in a socio-cultural–political context-sensitive manner in pandemic conditions, whilst demonstrating flexibility in addressing the changing and unique needs of their clients. Implications for policy, practice and research are presented.
On-Board Data Management Layer: Connected Vehicle as Data Platform

For connected vehicles, as well as generally for the transportation sector, data are now seen as a precious resource. They can be used to make right decisions, improve road safety, reduce CO2 emissions, or optimize processes. However, analyzing these data is not so much a question of which technologies to use, but rather about where these data are analyzed. Thereby, the emerging vehicle architecture has to become a data-oriented architecture based on embedded computing platforms and take into account new applications, artificial intelligence elements, advanced analytics, and operating systems. Accordingly, in this paper, we introduce the concept of data management to the vehicle by proposing an on-board data management layer, so that the vehicle can play the role of data platform capable of storing, processing, and diffusing data. Our proposed layer supports analytics and data science to deliver additional value from the connected vehicle data and stimulate the development of new services. In addition, our data platform can also form or contribute to shaping the backbone of data-driven transport. An on-board platform was built where the dataset size was reduced 80% and a rate of 99% accuracy was achieved in a 5 min traffic flow prediction using artificial neural networks (ANNs).
Multimessenger Characterization of Markarian 501 during Historically Low X-Ray and γ-Ray Activity

We study the broadband emission of Mrk 501 using multiwavelength observations from 2017 to 2020 performed with a multitude of instruments, involving, among others, MAGIC, Fermi's Large Area Telescope (LAT), NuSTAR, Swift, GASP-WEBT, and the Owens Valley Radio Observatory. Mrk 501 showed an extremely low broadband activity, which may help to unravel its baseline emission. Nonetheless, significant flux variations are detected at all wave bands, with the highest occurring at X-rays and very-high-energy (VHE) γ-rays. A significant correlation (>3σ) between X-rays and VHE γ-rays is measured, supporting leptonic scenarios to explain the variable parts of the emission, also during low activity. This is further supported when we extend our data from 2008 to 2020, and identify, for the first time, significant correlations between the Swift X-Ray Telescope and Fermi-LAT. We additionally find correlations between high-energy γ-rays and radio, with the radio lagging by more than 100 days, placing the γ-ray emission zone upstream of the radio-bright regions in the jet. Furthermore, Mrk 501 showed a historically low activity in X-rays and VHE γ-rays from mid-2017 to mid-2019 with a stable VHE flux (>0.2 TeV) of 5% the emission of the Crab Nebula. The broadband spectral energy distribution (SED) of this 2 yr long low state, the potential baseline emission of Mrk 501, can be characterized with one-zone leptonic models, and with (lepto)-hadronic models fulfilling neutrino flux constraints from IceCube. We explore the time evolution of the SED toward the low state, revealing that the stable baseline emission may be ascribed to a standing shock, and the variable emission to an additional expanding or traveling shock.