Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of occupational exposure to welding fumes and noise on heart rate variability: An exposed-unexposed study on welders and airport workers' population

Introduction Welding fumes (WF) are a complex mixture of gas and particles. Action of occupational exposure to WF on cardiovascular system has been recently studied as for noise. Research question The main objectives of our study are therefore to evaluate the impact of exposure to WF, noise, and combined WF and noise on autonomic nervous system as assessed by heart rate variability (HRV). Methods The study groups were 16 welders and eight airport workers (as a control group). All the participants underwent ambulatory electrocardiogram, personal WF, and noise exposure monitoring, respectively, with dust track and calibrated noise dosimeter during workday. Atmospheric environmental assessments at workplaces have been also performed. HRV parameters were summarized for all the workday and hourly. Correlation tests were used to examine relation between HRV parameters and levels of noise exposure in the two population. Analysis of covariance (ANCOVA) was used for mean of each HRV parameters. Results For HRV parameters, we found significant higher levels for mean range of high frequency (HF), standard deviation of normal-to-normal R-R interval (SDNN), and root mean square of successive heartbeat interval difference (RMSSD) in welders which suggested an imbalance between sympathetic and parasympathetic nervous system in this population. For relation between noise and HRV parameters, we noted that levels of low frequency (LF), HF, and SDNN were significantly correlated with mean noise levels for welders (respectively, r = 0.62, r = 0.357, r = 0.48), not in control group. Using ANCOVA, we found that working as a welder significantly increases mean of HF (p = 0.01) and RMSSD (p = 0.02) and decreases in LF/HF (p = 0.008). Indeed, the interaction between exposure to WF and mean noise levels for HF (p = 0.005), LF/HF (p = 0.01), and RMSSD (p = 0.007) was significant. Conclusion This study shows an impact of WF and noise on ANS balance. One hypothesis is WF exposure could increase sensibility to noise exposure on autonomic nervous system or there is a synergic effect.
Students’ perceptions of emergency remote teaching in a writing course during COVID-19

The COVID-19 pandemic forced most educational institutions in the US to quickly transfer to emergency remote teaching, finding many instructors and students unprepared. This study explored university students’ perspectives in a composition course during the emergency period and proposes guidance on designing a “student-friendly” online learning environment. This study examines the students’ concerns about and challenges with emergency remote teaching, the course’s benefits during the online learning period, and students’ recommendations for improvement. The research was conducted in seven sections of a multimodal composition course at a large, Midwestern university. Participants responded to a virtual discussion board at the beginning of online instruction and a survey after online instruction. Qualitative analysis of responses—guided by the Community of Inquiry (CoI) framework—showed that the participants expressed challenges with staying motivated, completing coursework, and feeling socially disconnected from instructors and classmates. Benefits expressed by the participants included increased flexibility in their schedules, improved time management skills, and increased virtual communication with instructors. This study highlights suggestions that can guide the design of composition courses and pedagogical practices for emergency remote teaching in the future.
Does attending preschool in an economically advantaged or disadvantaged neighborhood moderate the effects of the preschool edition of promoting alternative thinking strategies®?

Early interventions that foster the participation, engagement, and development of children attending preschools, including those in economically disadvantaged (low-income) neighborhoods, are of high priority. One such intervention is a universal socioemotional learning (SEL) program called Promoting Alternative Thinking Strategies (PATHS®) which aims to promote social emotional competence and positive adjustment in children, in general, and may have unique benefits for children attending preschool in low incomes areas. In the SEL field, areas in need of exploration include the possible role that neighborhood income level (i.e., all residents’ income in a postal code that a preschool is located in) could have for children’s social emotional competence and positive adjustment and how neighborhood income level may relate to benefits of an intervention such as PATHS. The study aims were to investigate 1) the baseline group differences in social emotional competence and adjustment depending on the neighborhood income level and 2) to determine if neighborhood income level moderated the effects of PATHS on children’s social emotional competence and adjustment from pre to posttest. Participants were 275 children aged four to five years old, from the preschools randomized into an immediate intervention (n = 145 children) or a wait-list control group (n = 130 children). Overall, 42.9% (n = 118) of the children attended preschools in economically disadvantaged neighborhoods and 57.1% (n = 157) of the children attended preschools in economically advantaged neighborhoods. Children’s social emotional competence and adjustment were assessed through child tasks, child observations and teacher reports. The moderation of intervention effects by the preschools’ neighborhood income was tested in a series of just-identified structural equation models (SEM) that explored interaction effects (income*PATHS interactions). At baseline, relative to children attending preschool in economically advantaged preschools, children attending preschool in economically disadvantaged neighborhoods showed lower levels of inhibitory control, working memory, task orientation and higher levels of inattention. Children attending preschools in economically disadvantaged neighborhoods participating in PATHS also showed reductions in inattention, social withdrawal and anxiety compared to control group children also attending preschool in disadvantaged neighborhoods. Additionally, PATHS children from advantaged neighborhoods improved their prosocial behavior, but not their social independence, relative to control group children who also attended preschool in advantaged neighborhoods. Offering PATHS as an SEL intervention in early childhood education and care settings could help to reduce disparities among children in a number of key outcomes.
The views of school leaders regarding gaining universal values in socio-cultural trips

In the globalizing world, it is seen that life is more intertwined with different cultures. Therefore, intercultural sensitivity has vital importance for a peaceful harmonious common life. In order to ensure this sensitivity, societies must unite with common accepted values. In this regard, the adoption of universal values expressed by the UNESCO-UNICEF has particular importance. Therefore, schools have important responsibilities. Schools may prefer out-of-class activities in the development of positive sensitivity behaviors. In this study, the sensitivities developed by secondary-school students, who are the target group, toward living universal values after participating in out-of-school socio-cultural short-term trip activities were examined. The research adopts the phenomenological approach, which is one of the qualitative research methods. Interview techniques were used in accordance with this model. In line with the purpose of this research, the school administrators, who have the ability to witness the changes in the behavior of the children during and after the socio-cultural planned trip activities and who can best interpret them by filtering, have been reached. According to this criterion, 51 school administrators were selected. The results of the research revealed that short-term socio-cultural trips abroad have effects on living-universal values. It was observed that the positive behaviors in the school environment continued after the trip. We can say that, the development of sensitivity toward living-universal values also positively affects students’ intercultural sensitivity. As a result, it is recommended that school administrators give importance to such activities.
Microplastics: Global occurrence, impact, characteristics and sorting

Stressors like microplastics (MPs) cause proliferating environmental pollution globally. Since plastics are continuously introduced into water bodies through numerous paths, novel solutions are required to segregate as well as decline their quantity in various environmental sectors. Numerous techniques have been used and proposed in the last 10 years to screen and enumerate MPs, define the particle’s properties, for instance form, color, or size, and recognize the polymer material. This critical review aims to provide an overview of advanced procedures in MP investigation, provides illustrations of probable routes forward and lingering challenges, and categorizes present approaches as per their underlying research question. Methods presently employed for MP sampling, extraction, identification, characterization, and quantification were evaluated. Studies proposing use of precursors for removal of MPs from water via the sol–gel process were reviewed. Research on microfluidics systems finds application in environmental and industrial fields and has gained momentum in concentrating, sorting, classifying, focusing, and desegregating MPs. This review briefly discusses active and passive label-free microfluidic methods that are efficient in executing the desired particle separation and are gaining momentum in the ecological analysis of MPs. Although some sets of preliminary data of MPs at selected regions across the globe have been studied and obtained, the degree of MP contamination in most important rivers, nearshore inland areas, and air is yet to be understood completely. Along the Charleston Harbor Estuary, the MP concentration in intertidal sediment was found to be 0 to 652 MPs/m2. In Asia, at the South Korean region, western Pacific Ocean, a high plastic concentration of 15–9,400 particles/m3 was reported. In India, the MP concentration was identified as 288 pieces/m3 in the Netravati River. In Turkey, ingestion of MPs was reported to be found in 458 out of 1,337 fish samples, indicating the polluted situation of the Mediterranean Sea. Despite the rapid development in MP analysis, no standardized technique for sampling along with separation has been approved. Therefore, for attaining a more inclusive picture of MPs’ fate and abundance, this study highlights the importance of a standardized procedure for MP research that can be used globally and adequately enables comparisons around the world.
Estimating NOX, VOC, and CO variability over India’s 1st smart city: Bhubaneswar

Volatile organic compounds including benzene, toluene, ethyl benzene, and xylene (BTEX) in the atmosphere have severe health and environmental implications. These variables are trace elements in the atmosphere. There are not enough measurement and analysis studies related to atmospheric BTEX variation globally, and studies are even less in developing countries like India. The present study analyses BTEX variations over an eastern Indian site, Bhubaneswar. The continuous measurement of BTEX is first of its kind over Bhubaneswar. The study analyses 2 years of BTEX data (2017–2018), and attempts to find the relation with meteorological parameters, the significance of the ratio between components, along with the analysis of transported air masses. To account for the pattern of emissions in association with BTEX variability over Bhubaneswar, we have also developed emission details from the transportation sector for the year 2018 and analyzed the emission patterns of CO and NOx for the year 2018. The results indicated that BTEX concentrations are maintained at the site via transportation from other regions, with significant local generation of BTEX, which is smaller in comparison to the transported emission.
Highly efficient neuromorphic learning system of spiking neural network with multi-compartment leaky integrate-and-fire neurons

A spiking neural network (SNN) is considered a high-performance learning system that matches the digital circuits and presents higher efficiency due to the architecture and computation of spiking neurons. While implementing a SNN on a field-programmable gate array (FPGA), the gradient back-propagation through layers consumes a surprising number of resources. In this paper, we aim to realize an efficient architecture of SNN on the FPGA to reduce resource and power consumption. The multi-compartment leaky integrate-and-fire (MLIF) model is used to convert spike trains to the plateau potential in dendrites. We accumulate the potential in the apical dendrite during the training period. The average of this accumulative result is the dendritic plateau potential and is used to guide the updates of synaptic weights. Based on this architecture, the SNN is implemented on FPGA efficiently. In the implementation of a neuromorphic learning system, the shift multiplier (shift MUL) module and piecewise linear (PWL) algorithm are used to replace multipliers and complex nonlinear functions to match the digital circuits. The neuromorphic learning system is constructed with resources on FPGA without dataflow between on-chip and off-chip memories. Our neuromorphic learning system performs with higher resource utilization and power efficiency than previous on-chip learning systems.
Privacy-preserving deep learning for electricity consumer characteristics identification

Deep learning models trained from smart meter data have proven to be effective in predicting socio-demographic characteristics of electricity consumers, which can help retailers provide personalized service to electricity customers. Traditionally, deep learning models are trained in a centralized manner to gather large amounts of data to ensure effectiveness and efficiency. However, gathering smart meter data in plaintext may raise privacy concerns since the data is privately owned by different retailers. This indicates an imminent need for privacy-preserving deep learning. This paper proposes several secure multi-party computation (MPC) protocols that enable deep learning training and inference for electricity consumer characteristics identification while keeping the retailer’s raw data confidential. In our protocols, the retailers secret-share their raw data to three computational servers, which implement deep learning training and inference through lightweight replicated secret sharing techniques. We implement and benchmark multiple neural network models and optimization strategies. Comprehensive experiments are conducted on the Irish Commission for Energy Regulation (CER) dataset to verify that our MPC-based protocols have comparable performance.
Challenges encountered by teaching principals in rural multigrade primary schools: A South African perspective

This study reports on the challenges facing multigrade principals. Principals are regarded as curriculum leaders and have critical roles to play in the success of the school. However, school principals experience a myriad of complex challenges in the execution of their roles and responsibilities. The purpose of this qualitative study was to outline the findings from a small-scale, exploratory study. Five multigrade school principals participated in the analysis. Using an interpretative qualitative research approach, a multiple case study of five multigrade teaching principals was employed. Four or more years of teaching and leadership experience in multigrade schools were used as the criteria for inclusion in the study. Semi-structured interviews were used to collect data and thematic analysis was used to analyze the data. The findings showed that multigrade principals have workload issues and lack of professional development in leadership in multigrade contexts as some of the challenges facing them. In addition, participants cited managing the interface between work and home as another worrisome issue in their roles as principals. This study recommends that multigrade principals need to be capacitated so that they have the necessary competencies and skills to function effectively in their multigrade context. To enhance effective practices and policies in rural multigrade schools, policymakers need to comprehend the unique challenges that multigrade teaching principals face and radically rethink the principals’ preparation programs to include multigrade teaching principals.
Finding food in the hunger season: A mixed methods approach to understanding wild plant foods in relation to food security and dietary diversity in southeastern Madagascar

In many rural farming societies, wild plant foods (WPFs) continue to play an important role in everyday diets as well as in coping with hunger during food shortages. However, WPF collection and consumption may pose challenges to biodiversity conservation efforts (e.g., in protected areas), and some “famine foods,” foods not typically eaten under normal conditions, may have deleterious health impacts. Using data from a cross-sectional survey of 328 smallholder farmers and fisherfolk living in 15 villages surrounding Manombo Special Reserve on the southeastern coast of Madagascar, we examine the relationship between food security, dietary diversity, and consumption of WPFs, specifically giant aquatic arrowhead or via (Typhonodorum lindleyanum) and Polynesian arrowroot or tavolo (Tacca leontopetaloides), during the region's main lean season. We complement survey findings with focus group interviews to document traditional ecological knowledge and perceptions of these WPFs, including how tavolo and via are rendered edible, as well as human health effects from collecting, preparing, and eating them. Using multilevel logistic regression modeling, we found that consumption of these WPFs were significantly associated with inadequate nutrition among farmers. Wealthier households were less likely to consume these WPFs as a coping strategy during food insecure periods, while larger and more food insecure households were more likely to consume them. These findings reaffirm the importance of access to natural areas and support the design of protected area conservation strategies that honor local foodways and consider WPFs that serve as food safety nets for more vulnerable populations.
Mapping of a novel clubroot disease resistance locus in Brassica napus and related functional identification

Clubroot disease, caused by Plasmodiophora brassicae, is a devastating disease that results in substantial yield loss in Brassicaceae crops worldwide. In this study, we identified a clubroot disease resistance (CR) Brassica napus, “Kc84R,” which was obtained by mutation breeding. Genetic analysis revealed that the CR trait of “Kc84R” was controlled by a single dominant locus. We used the bulked segregant analysis sequencing (BSA-seq) approach, combined with genetic mapping based on single nucleotide polymorphism (SNP) markers to identify CR loci from the F2 population derived from crossing CR “Kc84R” and clubroot susceptible “855S. ” The CR locus was mapped to a region between markers BnSNP14198336 and BnSNP14462201 on the A03 chromosome, and this fragment of 267 kb contained 68 annotated candidate genes. Furthermore, we performed the CR relation screening of candidate genes with the model species Arabidopsis. An ERF family transcriptional activator, BnERF034, was identified to be associated with the CR, and the corresponding Arabidopsis homozygous knockout mutants exhibited more pronounced resistance compared with the wild-type Col-0 and the transgenic lines of BnERF034 in response to P. brassicae infection. Additionally, the expression analysis between resistant and susceptible materials indicated that BnERF034 was identified to be the most likely CR candidate for the resistance in Kc84R. To conclude, this study reveals a novel gene responsible for CR. Further analysis of BnERF034 may reveal the molecular mechanisms underlying the CR of plants and provide a theoretical basis for Brassicaceae resistance breeding.
Treatment of unruptured middle cerebral artery aneurysms: Systematic review in an attempt to perform a network meta-analysis

Objective Open surgical clipping has been generally considered the best treatment option for unruptured middle cerebral artery aneurysms (uMCAAs). However, this type of aneurysm is being treated endovascularly with the appearance of new devices. We have carried out a systematic review of randomized and quasi-experimental studies to conduct a network meta-analysis (NMA) to assess the safety and efficacy of the different treatment methods currently used in uMCAAs. Methods The literature was searched by using PubMed and Google Scholar databases. Eligibility criteria were randomized or quasi-experimental studies including at least five cases per arm and reporting duration of follow-up and number of lost cases. The end points were: angiographic success, final neurological outcome, and the need for retreatments. Results We could only analyze four quasi-experimental studies with 398 uMCAAs. All of them compared clipping vs. coiling. Clipping showed better results than coiling in all analyzed end points. We could not conduct the proposed NMA because of the absence of randomized or quasi-experimental studies. Instead, a systematic review is further discussed. Conclusions There is an urgent need for comparative studies on the treatment of uMCAAs.
Particles act as ‘specialty centers’ with expanded enzymatic function throughout the water column in the western North Atlantic

Heterotrophic bacteria initiate the degradation of high molecular weight organic matter by producing an array of extracellular enzymes to hydrolyze complex organic matter into sizes that can be taken up into the cell. These bacterial communities differ spatially and temporally in composition, and potentially also in their enzymatic complements. Previous research has shown that particle-associated bacteria can be considerably more active than bacteria in the surrounding bulk water, but most prior studies of particle-associated bacteria have been focused on the upper ocean - there are few measurements of enzymatic activities of particle-associated bacteria in the mesopelagic and bathypelagic ocean, although the bacterial communities in the deep are dependent upon degradation of particulate organic matter to fuel their metabolism. We used a broad suite of substrates to compare the glucosidase, peptidase, and polysaccharide hydrolase activities of particle-associated and unfiltered seawater microbial communities in epipelagic, mesopelagic, and bathypelagic waters across 11 stations in the western North Atlantic. We concurrently determined bacterial community composition of unfiltered seawater and of samples collected via gravity filtration (>3 μm). Overall, particle-associated bacterial communities showed a broader spectrum of enzyme activities compared with unfiltered seawater communities. These differences in enzymatic activities were greater at offshore than at coastal locations, and increased with increasing depth in the ocean. The greater differences in enzymatic function measured on particles with depth coincided with increasing differences in particle-associated community composition, suggesting that particles act as ‘specialty centers’ that are essential for degradation of organic matter even at bathypelagic depths.