Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of guilt and the love of money on avoiding luxury clothing brand purchasing

Consumers may avoid purchasing luxury brands, which may cause negative feelings, such as low income and moral beliefs. It is essential to know the factors that affect the intentions to avoid luxury consumption and develop suggestions for businesses that market these products and know this relatively less studied aspect of consumer behaviour. In this study, the feeling of guilt arising from purchasing high-priced luxury clothing products and the effect of love of money, which expresses the individual's approach to money, on avoiding purchasing these products is questioned. Within the scope of the research, primary data were collected by face-to-face questionnaire method in Kirikkale province of Turkey, and the obtained data were tested with the structural equation model. As a result of the analysis, the feeling of guilt and the love of money (except for the motivation and wealth dimension) affect avoidance of purchasing luxury clothing. It was concluded that the variable affecting this intention the most was guilt and that the success dimension of the love of money had a negative effect. Finally, the research results were interpreted, and recommendations were made to researchers and businesses.
Ensuring the issuance of investment-attractive corporate bonds

Despite the fact that the scientific literature pays considerable attention to ensuring the investment attractiveness of national corporate bond markets based on macro-environmental factors, as well as individual companies – based on micro-environmental factors, the issue of optimizing the characteristics of corporate bonds in the prospectus remains insufficiently disclosed. However, coupon rate, price and maturity are the basic indicators that investors take into account when deciding to purchase corporate bonds, so they need more detailed research. approach to ensuring the issuance of investment-attractive corporate bonds, based on the use of indicators of companies with the highest level of demand on the stock market to build a matrix of coupon rate, price and maturity of corporate bond, the use of which allows to establish the optimal ratio between these characteristics. Enterprises issue corporate bonds to attract additional financial resources in their activities, so they are interested in ensuring the investment attractiveness of these securities. The investment attractiveness of corporate bonds depends on their own characteristics, as well as on micro- and macro-environmental factors. The most affordable way to ensure the investment attractiveness of corporate bonds is to establish the optimal characteristics of bonds in the prospectus. The companies whose corporate bonds are in the highest demand on the stock market have the optimal ratio between coupon rate, price and maturity. Determining the trend of ensuring a balance between these indicators of leading companies allows us to establish a model of decision-making by investors in a particular market of corporate bonds.
Development of a Solar Park Carbon Calculator (SPCC) to assist deployment decisions

<p>Following the Paris agreement, many nations have committed to targets of net zero emissions, resulting in a significant increase in low-carbon energy generation. Recent improvements in the cost and efficiency of photovoltaic (PV) technology have made their deployment cheaper than new coal and gas fired power stations in a number of regions, with the uptake of PV projected to surpass fossil fuels by 2035. Large-scale, ground-mounted systems are likely to constitute a considerable portion of this expansion, with the International Energy Agency suggesting that 69% of new capacity additions in 2021 will be utility scale deployments (although some of this may be building-mounted). Despite the expansion of ground-mounted solar parks and the knowledge that land use change is a greater threat to nature than climate change, there is very little understanding of the environmental implications. In particular, the effect on ecosystem carbon cycling, and thus the decarbonisation attraction of the technology, is unknown. Whilst the carbon impacts of the technological components have been relatively well resolved, the true carbon costs cannot be determined without quantifying the impacts on land carbon. Here, we present a solar park carbon calculator (SPCC) that quantifies the full suite of solar park carbon impacts. </p><p>The SPCC provides information on the technological and environmental carbon flows, drawing on established quantifications of carbon costs for system components, operation, and land management. Key components include the emissions factors for production of panels and mounts, machinery related emissions and the associated carbon flows of ground disturbances, before and after park construction. The SPCC is applied to a case-study solar park, providing insight into the dominant carbon flows and payback time in light of grid electricity carbon intensities. Ultimately, the SPCC can help inform solar park developer decisions in order to minimise carbon costs and maximise carbon sequestration. </p>
Physiological quality of pitaya seeds subjected to different methods of mucilage extraction

The selection of seed extraction methods from flesh fruits depends on the characteristics of the fruit and the seed to ensure their physiological quality, viability, vigor and sanity within the acceptable percentage for each species. The present study aimed to assess the physiological quality of pitaya seeds subjected to different extraction methods of the mucilage surrounding the seeds. The assessed methods were M1 – friction in sieve under running water; M2 – friction in sieve under running water, with addition of CaO; M3 – fermentation for 24 h; M4 – fermentation for 24 h, with addition of sucrose; M5 – fermentation for 48 h; M6 – fermentation for 48 h, with addition of sucrose; M7 – immersion for 2 h in 2.5% HCl solution; M8 – immersion for 2 h in 5.0% HCl solution and M9 – immersion for 2 h in 10.0% HCl solution. The experimental design was entirely randomized. The analyzed variables were germination percentage (%), germination speed index (GSI) and mean germination time (MGT - days), as well as identification and quantification (%) of plant pathogenic fungi based on germination and accelerated aging tests; percentage of viable seeds (%) based on tetrazolium test; and vigor (μS cm-1) based on electrical conductivity test. The method of immersion for 2 h in 10.0% HCl solution (M9) has proven to be advantageous for the extraction of H. undatus seeds to favor seeds with higher physiological quality in a short period
Atmospheric Photooxidation Diminishes Light Absorption by Primary Brown Carbon Aerosol from Biomass Burning

Light-absorbing organic aerosols, optically defined as brown carbon (BrC), have been shown to strongly absorb short visible solar wavelengths and significantly impact Earth’s radiative energy balance. There currently exists a knowledge gap regarding the potential impacts of atmospheric processing on the absorptivity of such particles generated from biomass burning. Climate models and satellite retrieval algorithms parametrize the optical properties of BrC aerosols emitted from biomass burning events as unchanging throughout their atmospheric lifecycle. Here, using contact-free optical probing techniques, we investigate the effects of multiple-day photochemical oxidation on the spectral (375–532 nm) optical properties of primary BrC aerosols emitted from smoldering combustion of boreal peatlands. We find the largest effects of oxidation in the near-UV wavelengths, with the 375 nm imaginary refractive index and absorption coefficients of BrC particles decreasing by ∼36% and 46%, respectively, and an increas.
The Role of Domestic Factors in the EU’s Governance of Labour Standards through Trade

This paper analyses the role of domestic factors in the ability of the EU to promote NTPOs through formal trade policies and market integration, as two distinct governance approaches. Focusing on labour standards, we examine how economic and political factors in developing economies influence the ability of key stakeholders – governments, businesses and labour organizations – to undermine or reinforce EU governance efforts. We use a combination of regression and comparative case analysis to assess associations and understand processes on ground. The quantitative analysis shows that improvements in labour standards are closely associated with 1) labour standards in key export markets, 2) technological sophistication of exports, 3) state capacity and 4) freedom of CSOs. Comparative analysis of how differences in state strategies and capacity, key export destinations and strength of labour organizations across Moldova and Morocco set in place divergent pathways of labour standard improvements allows us to shed more light on the potentials and limitations of EU governance efforts.
A HIGH SPEED FAULT TOLERANT TRANSVERSE FLUX ALTERNATOR FOR AEROSPACE

This paper presents the design methodology of a transverse flux alternator for a high speed aerospace application. A four single phase permanent magnet (PM) transverse flux machine is proposed to achieve a certain power level at low speed (400 rpm) under the short circuit fault current constraints at higher speeds (15000 rpm). Due to a relatively small volume envelope of the proposed machine, a 3D parametric machine geometry was optimised within the given space by using several finite element (FE) optimisation approaches including genetic algorithm (GA) and design of experiment (DoE). The parametric machine geometry was further investigated to reduce the cogging torque and mutual flux linkages between the separate phases and also the manufacturing limitations have been accounted to build an alternator with soft magnetic composites (SMC). It is shown that the proposed machine achieves the performance specifications of the fault tolerant aerospace application but the proposed design comes with different averaged power levels at the phase outputs due to dissimilarity between mutual inductances, which are usually unavoidable in the axially positioned stators topologies with relatively very low synchronous phase reactances.
Effect of Jigsaw Instructional Strategy on Senior School Physics Students’ Achievement in Jos, Nigeria

The poor achievement in science and technology subjects especially physics has brought about major set-back in the sustainable development of the nation. The use of jigsaw instructional strategy in teaching and learning in Nigerian schools could address this problem. This study therefore sought the effect of jigsaw instructional strategy on senior school students’ achievement in physics. The study was a quasi-experimental, pre-test and post-test control group design. Purposive sampling technique was used to select two schools, from which two intact classes of senior secondary school two students in physics took part in the study. A total of 84 students from Jos, Plateau state formed the sample of the study. The instrument used for data collection was Physics Achievement Test (PAT) designed by the researcher with a reliability coefficient of 0.79. Three null hypotheses were formulated and tested using t-test and analysis of variance at 0.05 level of significance. Result of the findings revealed that jigsaw instructional strategy improved students’ achievement in physics irrespective of gender and score level. The study recommended that teachers should include the use of jigsaw instructional strategy in the teaching and learning of physics and other subjects at all school level. This could further translate into sustainable development in Nigeria.
Distributed Event-Triggered Secondary Recovery Control for Islanded Microgrids

Distributed cooperative control methods are widely used in the islanded microgrid control system. To solve the deviation of frequency and voltage caused by the droop control, it is necessary to recovery the frequency and voltage to the rated value using a secondary control strategy. However, the traditional communication method relies on the continuous periodic one, which makes the communication burden of the islanded microgrid system heavy and conflicts with the actual operation of the power grid. Using the secondary recovery control method based on the distributed event-triggered method, we conserve communication resources by reducing the number of transmissions of sampled data and achieving the recovery control of the frequency and voltage and the original proportional sharing of active power. In addition, we analyze the stability of the distributed event-triggered strategy and build a microgrid system with MATLAB/Simulink to verify the effectiveness of the control method. Furthermore, we compare with a traditional periodic communication system and demonstrate the superiority of our distributed event-triggered approach.
Impact of COVID-19 pandemic on pediatric appendicitis hospital admission time and length of hospital stay

ABSTRACT BACKGROUND: Appendicitis is one of the most common surgical emergencies among children. In this retrospective clinical study, we attempted to determine the effects of the COVID-19 pandemic period on hospital admission time and length of hospital stay (LOS) in pediatric appendicitis cases. METHODS: We retrospectively compared pediatric appendectomies from the date of the first reported COVID-19 case to June 1, 2020, which is considered as the start of the normalization process, with pre-pandemic pediatric appendectomies of the same number of days in terms of age, gender, hospital admission time, LOS, parental educational level, laboratory values, and histopathological findings. RESULTS: There was an average increase of 2 days in the time from the onset of symptoms to hospital admission in pediatric appendicitis patients in the COVID-19 period (p=0.001). Furthermore, C-reactive protein value was statistically significantly higher in the COVID-19 period (p=0.018). Given the LOS, it was calculated as an average of 5 days in the pre-pandemic period and 4 days in the COVID-19 period, and this difference was statistically insignificant (p=0.273). There was no significant difference between the groups in terms of histopathological findings (p=0.176). The parental educational level had no effect on the admission time. CONCLUSION: The hospital admission time of pediatric appendicitis patients is significantly prolonged in the COVID-19 pandemic, but this prolongation had no histopathological effect. During the pandemic, the recovery of patients who required urgent treatment during the “stay-at-home” period was also negatively affected. Notwithstanding, we are of the opinion that the absence of an increase in the LOS may be due to the willingness of both families and physicians to keep the LOS as short as possible. Despite the increase in hospital admission time in pediatric appendicitis during the Covid 19 pandemic process, the lack of increase in the rate of complicated appendicitis may be an indicator of the importance of other factors in the development of complicated appendicitis.
The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models

<p>&#8216;Aerodynamic resistance&#8217; (hereafter r<sub>a</sub>) is a preeminent variable in the modelling of evapotranspiration (ET), and its accurate quantification plays a critical role in determining the performance and consistency of thermal remote sensing-based surface energy balance (SEB) models for estimating ET at local to regional scales. Atmospheric stability links r<sub>a</sub> with land surface temperature (LST) and the representation of their interactions in the SEB models determines the accuracy of ET estimates. </p><p>The present study investigates the influence of r<sub>a</sub> and its relation to LST uncertainties on the performance of three structurally different SEB models by combining nine OzFlux eddy covariance datasets from 2011 to 2019 from sites of different aridity in Australia with MODIS Terra and Aqua LST and leaf area index (LAI) products. Simulations of the latent heat flux (LE, energy equivalent of ET in W/m<sup>2</sup>) from the SPARSE (Soil Plant Atmosphere and Remote Sensing Evapotranspiration), SEBS (Surface Energy Balance System) and STIC (Surface Temperature Initiated Closure) models forced with MODIS LST, LAI, and in-situ meteorological datasets were evaluated using observed flux data across water-limited (semi-arid and arid) and radiation-limited (mesic) ecosystems. </p><p>Our results revealed that the three models tend to overestimate instantaneous LE in the water-limited shrubland, woodland and grassland ecosystems by up to 60% on average, which was caused by an underestimation of the sensible heat flux (H). LE overestimation was associated with discrepancies in r<sub>a</sub> retrievals under conditions of high atmospheric instability, during which errors in LST (expressed as the difference between MODIS LST and in-situ LST) apparently played a minor role. On the other hand, a positive bias in LST coincides with low r<sub>a</sub> and causes slight underestimation of LE at the water-limited sites. The impact of r<sub>a</sub> on the LE residual error was found to be of the same magnitude as the influence of errors in LST in the semi-arid ecosystems as indicated by variable importance in projection (VIP) coefficients from partial least squares regression above unity. In contrast, our results for mesic forest ecosystems indicated minor dependency on r<sub>a</sub> for modelling LE (VIP<0.4), which was due to a higher roughness length and lower LST resulting in dominance of mechanically generated turbulence, thereby diminishing the importance of atmospheric stability in the determination of r<sub>a</sub>. </p>
Genetic diversity in foxtail millet genotypes

A total of 80 foxtail millet genotypes were evaluated for ten quantitative characters at MARS (Main Agricultural Research Station), UAS (University of Agricultural Sciences), Raichur during kharif 2018 to assess the genetic diversity using Mahalanobis D2 statistic. The eighty genotypes were grouped into twelve clusters. The highest inter-cluster distance (6623.62) was observed between cluster-VIII and cluster-XII. The highest intra-cluster distance was observed in cluster VII (529.01). A high mean grain yield was observed in cluster-XI (59.72g). Plant height (46.96%) and grain yield (46.39%) have the highest contribution to the total divergence. The crosses between genotypes of the divergent clusters VIII and XII would manifest wide variability.
The impact of physical distancing on socially vulnerable people needing care during the COVID-19 Pandemic in the Netherlands

What was the impact of physical distancing on socially vulnerable groups needing care during the first COVID-19 pandemic lockdown in the Netherlands? We conducted repeated qualitative interviews with 141 people in care relationships and 106 professionals, and two repeated surveys among older populations outside (n = 1697) and inside long-term care facilities (n = 2619). Findings show a diversity of experiences, ranging from relative calmness and feeling socially normal, to loneliness and loss of perspective. Care must be seen as essential social traffic needed to guarantee basic quality of life for these groups during disease outbreaks. Findings emphasise an empirical ethics approach to policy interventions.
A Human, Organization, and Technology Perspective on Patients’ Experiences of a Chat-Based and Automated Medical History–Taking Service in Primary Health Care: Interview Study Among Primary Care Patients

Background The use of e-visits in health care is progressing rapidly worldwide. To date, studies on the advantages and disadvantages of e-consultations in the form of chat services for all inquiries in primary care have focused on the perspective of health care professionals (HCPs) rather than those of end users (patients). Objective This study aims to explore patients’ experiences using a chat-based and automated medical history–taking service in regular, tax-based, not-for-profit primary care in Sweden. Methods Overall, 25 individual interviews were conducted with patients in the catchment areas of 5 primary care centers (PCCs) in Sweden that tested a chat-based and automated medical history–taking service for all types of patient inquiries. The semistructured interviews were transcribed verbatim before content analysis using inductive and deductive strategies, the latter including an unconstrained matrix of human, organization, and technology perspectives. Results The service provided an easily managed way for patients to make written contact with HCPs, which was considered beneficial for some patients and issues but less suitable for others (acute or more complex cases). The automated medical history–taking service was perceived as having potential but still derived from what HCPs need to know and how they address and communicate health and health care issues. Technical skills were not considered as necessary for a mobile phone chat as for handling a computer; however, patients still expressed concern for people with less digital literacy. The opportunity to take one’s time and reflect on one’s situation before answering questions from the HCPs was found to reduce stress and prevent errors, and patients speculated that it might be the same for the HCPs on the other end of the system. Patients appreciated the ability to have a conversation from almost anywhere, even from places not suitable for telephone calls. The asynchronicity of the chat service allowed the patients to take more control of the conversation and initiate a chat at any time at their own convenience; however, it could also lead to lengthy conversations where a single issue in the worst cases could take days to close. The opportunity to upload photographs made some visits to the PCC redundant, which would otherwise have been necessary if the ordinary telephone service had been used, saving patients both time and money. Conclusions Patients generally had a positive attitude toward e-visits in primary care and were generally pleased with the prospects of the digital tool tested, somewhat more with the actual chat than with the automated history-taking system preceding the chat. Although patients expect their PCC to offer a range of different means of communication, the human, organization, and technology analysis revealed a need for more extensive (end) user experience design in the further development of the chat service.
Factors Affecting Women Micro and Small-Sized Enterprises’ Success: A Case Study in Jordan

Over the past decades, the Jordanian government has made great efforts to help poor women start small businesses by providing microcredit and facilitating financial services. Although in Jordan almost hundreds of thousands of women have the ability to contribute more fully to their economy, they are reluctant to do so. Women’s participation in economic activities in 2016 was only 13.2%, while the unemployment rate for Jordanian women was 24.1%. The decline in women’s participation in small business management has gradually become an important issue following the trial of more than 13,000 Jordanian women for non-payment of their micro-loans. This study aims to identify the factors that hinder Jordanian women from achieving job stability. In this qualitative study, a semi-structured interview method with sixteen open-ended questions was used to collect relevant data. A purposeful sampling method is also used to select participants. To analyze the data, this study used NVivo 11 software as a method. Using System Theory, this study showed that women’s failure depends on three factors: women entrepreneurs, the environment around women entrepreneurs, and micro-financial institutions. Findings of this study suggest that strengthen women’s entrepreneurship sustainability and minimize the risk of failure should be done through integrated strategies include these three domains.