Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of emotional effects in providing feedback in learning

The article examines the role of emotional effects in providing feedback in training. The research was conducted with the participation of 60 students. Along with the study of the psychological mechanisms of feedback, the training observed the dynamics of changes in various parameters during feedback. The research showed that according to the normal distribution, there is a significant correlation at the level of p = 0.3 for positive emotional attachment to behaviour, and p = 0.6 for negative emotional attachment to behaviour. During negative influences, students' motivation, self-esteem, and change in learning achievements are higher than positive influences, and there is a negative correlation (at the level of p = 0.03). This fact confirms that feedback undergoes significant changes during positive and negative emotional attachment and that the more persistent these relationships are, the more dynamic the moderator changes will be. Simply speaking, positive attachment increases learning achievement, motivation, and self-esteem to a certain extent. On the contrary, negative attachment to some extent lower learning achievements, motivation and self-esteem. At the same time, creating a positive feedback in the learning increases cognitive activity, improves the attitude to learning, as well as teacher-student relations.
Enhancing Cross-lingual Prompting with Two-level Augmentation

Prompting approaches show promising results 001 in few-shot scenarios. However, its strength 002 for multilingual/cross-lingual problems has not 003 been fully exploited. Zhao and Schütze (2021) 004 made initial explorations in this direction by 005 presenting that cross-lingual prompting outper-006 forms cross-lingual finetuning. In this paper, 007 we first conduct sensitivity analysis on the ef-008 fect of each component in cross-lingual prompt-009 ing and derive Universal Prompting across lan-010 guages. Based on this, we propose a two-011 level augmentation framework to further im-012 prove the performance of prompt-based cross-013 lingual transfer. Notably, for XNLI, our method 014 achieves 46.54% with only 16 English training 015 examples per class, significantly better than 016 34.99% of finetuning. 017
FedVARP: Tackling the Variance Due to Partial Client Participation in Federated Learning

Data-heterogeneous federated learning (FL) systems suffer from two significant sources of convergence error: 1) client drift error caused by performing multiple local optimization steps at clients, and 2) partial client participation error caused by the fact that only a small subset of the edge clients participate in every training round. We find that among these, only the former has received significant attention in the literature. To remedy this, we propose FedVARP, a novel variance reduction algorithm applied at the server that eliminates error due to partial client participation. To do so, the server simply maintains in memory the most recent update for each client and uses these as surrogate updates for the non-participating clients in every round. Further, to alleviate the memory requirement at the server, we propose a novel clustering-based variance reduction algorithm ClusterFedVARP. Unlike previously proposed methods, both FedVARP and ClusterFedVARP do not require additional computation at clients or communication of additional optimization parameters. Through extensive experiments, we show that FedVARP outperforms state-of-the-art methods, and ClusterFedVARP achieves performance comparable to FedVARP with much less memory requirements.
EFFECT OF ETHNO-MATHEMATICS AND CONVENTIONAL TEACHING APPROACHES ON STUDENTS’ ACHIEVEMENT, INTEREST AND RETENTION IN GEOMETRY IN SELECTED SECONDARY SCHOOLS IN MAKURDI METROPOLIS, BENUE STATE, NIGERIA

This study examine the effect of ethno-mathematics and conventional teaching approaches on students’ achievement, interest and retention in geometry in selected secondary schools in Makurdi metropolis, Benue State, Nigeria. Quasi experimental research design and survey research design which follows quantitative methodology were adopted for the study. The sample of 270 respondents was used for the study. The researcher used primary data obtained by the use of a structured questionnaire. The data collected were analyzed using inferential statistics such as simple linear regression and analysis of covariance (ANCOVA). The result of the study indicates that a negative effect was established between ethno-mathematics teaching approach and students’ achievement in geometry. The effect is not statistically significant (p>0.05) and the effect is in line with a priori expectation. For the second and third model of the study, ethnomathematics teaching approach have a positive and significant effects (p<0.05) on students’ interest and students' retention in geometry in selected secondary schools in Makurdi Metropolis, Benue State, Nigeria. Male had less achievement than female student taught geometry using of ethno-mathematics teaching approach than the conventional teaching approach and this difference is statistically significant. Also, female had more interest in geometry taught using ethno-mathematics teaching approach than the conventional approach and the difference is statistically significant. For the third model of the study, there are difference in retention between male and female students taught geometry using of ethno-mathematics teaching approach than those taught using the conventional teaching approach s and the difference is statistically significant. It is concluded that ethnomathematics is beneficial in the teaching of geometry as it has a positive effect on interest and retention. It is recommended among others that Mathematics instruction in general should be handled in such a way that students are actively involved in the learning processes, enabling them to see Mathematics as a natural extension of their daily life activities, hence improving students' interest and retention in geometry in the study area. needed to determine how to effectively transmit geometrical principles to students using an ethno-mathematical teaching approach that enables them to grasp the concepts and apply them to real-world problems.
MOLD AND HEALTH ISSUES

Over the past decade, there has been extreme media attention to issues about mold and allegedly adverse effects. Unfortunately, misinformation about mold and health effects abounds and often the public is led to believe that exposure to mold is a dangerous event. This paper presents common points of misinformation about mold and health. Scientific documentation to refute the misinformation is presented.
MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing

One of the first publications of its kind in the exciting field of multiple input multiple output (MIMO) power line communications (PLC), MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing contains contributions from experts in industry and academia, making it practical enough to provide a solid understanding of how PLC technologies work, yet scientific enough to form a base for ongoing R&D activities. This book is subdivided into five thematic parts. Part I looks at narrow- and broadband channel characterization based on measurements from around the globe. Taking into account current regulations and electromagnetic compatibility (EMC), part II describes MIMO signal processing strategies and related capacity and throughput estimates. Current narrow- and broadband PLC standards and specifications are described in the various chapters of part III. Advanced PLC processing options are treated in part IV, drawing from a wide variety of research areas such as beamforming/precoding, time reversal, multi-user processing, and relaying. Lastly, part V contains case studies and field trials, where the advanced technologies of tomorrow are put into practice today. Suitable as a reference or a handbook, MIMO Power Line Communications: Narrow and Broadband Standards, EMC, and Advanced Processing features self-contained chapters with extensive cross-referencing to allow for a flexible reading path.
Exploring the Perception of Job Quality among Banking Professionals: The Case of a Small Island Developing State

The purpose of this study was to explore the perception of the Mauritian banking sector (MBS) professionals on job quality with respect to their current jobs using the OECD Framework (2015). It attempts to fill an existing gap in the Job Quality literature by providing empirical evidence on job quality in the banking sector in a small island developing state like Mauritius. Not many, if any, of the studies conducted in the banking sector concentrate on job quality in a small island development state (SIDS) context. This exploratory study therefore made use of the qualitative interpretive research paradigm using semi-structured, face-to-face interviews. The population comprised of banking professionals at supervisory and managerial levels across different banking institutions in the island. Purposive sampling method was adopted using the snowball sampling technique which used the researcher’s judgment in locating the type of people who would provide rich information pertaining to job quality. 15 banking professionals agreed to take part in the study. Findings revealed that banking professionals in Mauritius better perceived recognition rather than earnings quality, and the social rather than physical work environment as major determinants of their job quality. They also opined that their job security was however based on their performance and willingness to learn and grow in the organisation. Appropriate recommendations were thus provided in the light of these findings.
The circular economy: towards a new business paradigm with support from public policy

Today, we live in a linear economy and the current situation is a product of past ideas on effective markets, legal concepts and legal culture, business models and ideas on ownership and consumer culture. For us to move to a more circular economy, we need to start questioning how we look at products, markets, ownership and resources. As a foundation for this process, this report highlights what the circular economy is about and some key issues we need to address to move towards a circular economy. It also highlights the need to connect the business and policy developments related to the circular economy to other sustainability fields, such as climate change and chemicals, and to place it within the broader context of sustainable consumption. A circular economy is not only about taking care of our resources; we must also ensure that all humans have access to the resources they need to live a decent life. Thus, the social dimensions of the circular economy should not be neglected: it must be an economy that benefits all humans.
Pesticide Toxicity In Fish Of Gomti River At Various Locations With Particular Reference To Organochlorine Pesticides (Ocps)

The levels and distribution patterns of certain organochlorine pesticides (OCPs) in fish samples obtained from three locations in the Gomti river, India, are reported in this study. POCPs in fish muscles varied from 2.58 to 22.56 ng g–1 (mean value: 9.66 5.60 ng g–1). There were no regional or chronological patterns in the distribution of the OCPs. Aldrin was the most abundant OCP, whereas HCB and methoxychlor were undetectable. The most often found OCPs were a-HCH and b-HCH among HCH isomers and ppDDE among DDT metabolites. According to the findings, the fish in the Gomti River are polluted with a variety of OCPs.
Docker experience at INFN-Pisa Grid Data Center

Clouds and virtualization offer typical answers to the needs of large-scale computing centers to satisfy diverse sets of user communities in terms of architecture, OS, etc. On the other hand, solutions like Docker seems to emerge as a way to rely on Linux kernel capabilities to package only the applications and the development environment needed by the users, thus solving several resource management issues related to cloud-like solutions. In this paper, we present an exploratory (though well advanced) test done at a major Italian Tier2, at INFN-Pisa, where a considerable fraction of the resources and services has been moved to Docker. The results obtained are definitely encouraging, and Pisa is transitioning all of its Worker Nodes and services to Docker containers. Work is currently being expanded into the preparation of suitable images for a completely virtualized Tier2, with no dependency on local configurations.
A qualitative examination of major barriers in implementation of reverse logistics within the South Australian construction sector

Despite extensive research on the benefits of reverse logistics (RL), it has yet to become commonplace in the construction industry. Furthermore, the uptake and number of studies on RL remains very limited within the Australian context and particularly related to the construction industry. This paper is aimed at filling that knowledge gap by employing an exploratory approach to examine the critical barriers faced by South Australian construction organizations in implementing RL practices. Semi-structured interviews and a ranking approach facilitated the treatment of qualitative data through quantitative coding using cloud-based applications. The research identified 12 barriers to RL implementation, four of them very significant according to the responses of the interviewees: the regulatory environment, additional costs involved, lack of recognition in the construction supply chain, and extra effort required. The study also explored their inter-relationships through the Co-occurrence Index. The study proposes some remedial measures for RL implementation in South Australia based on the barriers identified.
How Expressive are Transformers in Spectral Domain for Graphs?

The recent works proposing transformer-based models for graphs have proven the inadequacy of Vanilla Transformer for graph representation learning. To understand this inadequacy, there is a need to investigate if spectral analysis of the transformer will reveal insights into its expressive power. Similar studies already established that spectral analysis of Graph neural networks (GNNs) provides extra perspectives on their expressiveness. In this work, we systematically study and establish the link between the spatial and spectral domain in the realm of the transformer. We further provide a theoretical analysis and prove that the spatial attention mechanism in the transformer cannot effectively capture the desired frequency response, thus, inherently limiting its expressiveness in spectral space. Therefore, we propose FeTA, a framework that aims to perform attention over the entire graph spectrum (i.e., actual frequency components of the graphs) analogous to the attention in spatial space. Empirical results suggest that FeTA provides homogeneous performance gain against vanilla transformer across all tasks on standard benchmarks and can easily be extended to GNN-based models with low-pass characteristics (e.g., GAT).
Effect of drip irrigation and fertilizer application on yield of baby corn (Zea mays)

The field experiments were conducted during consecutive seasons of 2010–2011 at the Research Farm of Water Technology Centre, Indian Agricultural Research Institute, New Delhi, India, to study the effect of drip fertigation and fertilizer application in furrow irrigation on yield of baby corn hybrid, HM-4. The recommended dose of fertilizers was applied in all the treatments. In drip irrigation, fertilizer solutions were applied through venture injector. However, broadcasting method was used for fertilizer application under furrow irrigation. Different treatments includes three fertigation frequencies (twice weekly, weekly and fortnightly), three dripper discharges at different systems operating pressures were the main treatments under drip fertigation and fertilizer application under furrow irrigation. Yield attributes of baby corn were significantly (P<0.05) affected by fertigation frequencies. Fertigation frequency schedule as twice weekly recorded significantly highest yields of baby corn (22.5 q/ha) and fodder (633.3 q/ha) with dripper discharge at system operating pressure of 1.0 kg/cm during second season. However, lowest yields of baby corn (10.7 q/ha) and fodder (413.0 q/ha) were recorded under fertilizer application in furrow irrigation during third season.
Long Covid stigma: Estimating burden and validating scale in a UK-based sample

Background: Stigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a history of SARSCoV2 infection, often resulting in functional disability. Aim: To develop and validate a Long Covid Stigma Scale (LCSS); and to quantify the burden of Long Covid stigma. Design and Setting: Follow-up of a co-produced community-based Long Covid online survey using convenience non-probability sampling. Method: Thirteen questions on stigma were designed to develop the LCSS capturing three domains: enacted (overt experiences of discrimination), internalised (internalising negative associations with Long Covid and accepting them as self-applicable) and anticipated (expectation of bias/poor treatment by others) stigma. Confirmatory factor analysis tested whether LCSS consisted of the three hypothesised domains. Model fit was assessed and prevalence was calculated. Results: 966 UK-based participants responded (888 for stigma questions), with mean age 48 years (SD: 10.7) and 85% female. Factor loadings for enacted stigma were 0.70-0.86, internalised 0.75-0.84, anticipated 0.58-0.87, and model fit was good. The prevalence of experiencing stigma at least 'sometimes' and 'often/always' was 95% and 76% respectively. Anticipated and internalised stigma were more frequently experienced than enacted stigma. Those who reported having a clinical diagnosis of Long Covid had higher stigma prevalence than those without. Conclusion: This study establishes a scale to measure Long Covid stigma and highlights common experiences of stigma in people living with Long Covid.
Computerized biofeedback to characterize Pupil Cycle Time (PCT) in neuropathies and retinopathies

Pupillary responses to light offer a convenient and objective way to quickly assess the functional health of the anterior afferent visual pathways. We here present the characteristics of Pupil Cycle Time (PCT) obtained with a computerized biofeedback setting in patients with retinal and optic nerve diseases. The spectral analysis of the sustained pupillary oscillations elicited over 45 seconds of passive fixation of colored displays with different spatial configurations provides relevant information that allow distinguishing patients from healthy participants with good sensitivity and specificity. PCT measures done with this method could complement the current functional examination of chronic ophthalmic diseases whose prevalence worryingly increases worldwide.
Impact of school closures and reopening on COVID-19 caseload in 6 cities of Pakistan: An Interrupted Time Series Analysis

Schools were closed all over Pakistan on November 26, 2020 to reduce community transmission of COVID-19 and reopened between January 18 and February 1, 2021. However, these closures were associated with significant economic and social costs, prompting a review of effectiveness of school closures to reduce the spread of COVID-19 infections in a developing country like Pakistan. An interrupted time series analysis (ITSA) was used to measure the impact of school closures, as well as reopening schools on daily new COVID-19 cases in 6 major cities across Pakistan: Lahore, Karachi, Islamabad, Quetta, Peshawar, and Muzaffarabad. School closures are associated with a clear and statistically significant reduction in COVID-19 cases by 0.07 to 0.63 cases per 100,000 population, while reopening schools is associated with a statistically significant increase. Lahore is an exception to the effect of school closures, but it too saw an increase in COVID-19 cases after schools reopened in early 2021. We found that closing schools reduced COVID-19 incidence in the community by approximately a third of all cases nationwide. However, any benefits were contingent on continued closure of schools, as cases bounced back once schools reopened. We show that closing schools was a viable policy option, especially before vaccines became available. However, its social and economic costs must also be considered.
The Influence of Coronavirus Disease (COVID-19) Pandemic on the Use of Digital Payment in Malaysia

Coronavirus Disease (COVID-19) pandemic has brought historic disruption to the economy, social, and health sectors around the globe. The closure and shut down of some businesses have caused consumption in many industries to decline. The trends that stem from the crisis have also affected the way people transfer money and execute payments for numerous purposes. Digital payments also have become a crucial solution for people as well as many businesses for financial transactions and stimulate their business into this new normal. This paper aims to identify the method of payment before and during the lockdown period and investigate the potential influence of the COVID-19 pandemic on the use of digital payments by applying the Technology Acceptance Model (TAM) and unified Theory of Acceptance and Use of Technology (UTAUT). This paper employed questionnaire-based surveys and a simple random sampling method. A total of 400 respondents were administered and analyzed by deploying descriptive analysis, Mann-Whitney U Test, Kruskal Wallis Test, and multiple regression analysis. The findings reveal that age, education level, ease of use, social influence, and trust have a positive and significant influence on the use of digital payment. Trust depicts the strongest influence on the use of digital payment. The result may provide insight for practitioners and researchers while assisting the digital payment service providers, government, and financial institutions to have a better understanding and concern of the practicality in the use of digital payment for various financial transactions. Keywords: Covid-19; Digital Payments; Mobile Payments; Mobile Banking; E-Wallet.
COMPARATIVE STUDIES ON GROWTH AND YIELD PERFORMANCE OF PADDY STRAW MUSHROOM ( VOLVARIELLA SPP ) ON AGRO-WASTE

: The research experiment was carried out to investigate the cultivation of paddy straw mushroom on agro-wastes singly and in various combinations to find out the better substrate for mushroom cultivation . Results regarding the time required for completion of spawn running, formation of pin-heads and maturation of fruiting bodies on different substrates showed that in all the five cases, they appeared earlier on wheat(control) in both the species. Highest mycelia growth rate was found in wheat & rice bran (50:50) in Volvariella volvaceae and (75:25) in Volvariella diplasia . The time of fruiting for both species was shorter on wheat(control). Highest biological yield, Volvariella volvaceae (1380g), Volvariella diplasia (1263g) was obtained from (50:50) in Volvariella volvaceae and(75:25) in Volvariella diplasia . The lowest biological yield was found where the culture was on rice bran alone. The use of rice bran in mushroom cultivation enhances the biological recycling of nutrients. 2hr) and cooled, inoculated with a pure culture mycelia and incubated at (23 ± 2) 0 C for 10 days. The linear mycelial growth of mushroom was measured for each treatment. The un-inoculated sterile saline bottle (15cm length) with grains (up to 12.5cm length) was used as control.