Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INTERACTION OF MORAL IDENTITY AND RECOGNITION ON FUNDRAISING BEHAVIOR

THE INTERACTION OF MORAL IDENTITY AND RECOGNITION ON FUNDRAISING BEHAVIOR By: C. Otis Fulton, M.S. A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Psychology at Virginia Commonwealth University Virginia Commonwealth University, 2022. Major Director: Dr. Jeffrey D. Green, Professor, Department of Psychology The research examined the role of moral identity in motivating prosocial behavior, specifically volunteer fundraising measured in dollars via Facebook fundraisers for the Spina Bifida Association, a national nonprofit organization. I predicted a three-way interaction of moral identity symbolization, internalization, and recognition (i.e., public acknowledgement of the gift by the organization) to predict prosocial behavior. When moral identity internalization is low, I hypothesized that high moral identity symbolization will motivate recognized prosocial behavior due to the opportunity to have one’s prosocial behavior in a public venue. In contrast, when moral identity internalization is high, prosocial behavior would be motivated regardless of the level of symbolization and recognition. The main effect of recognition on fundraising was not significant, nor were the predicted interactions regarding identity symbolization, internalization, and recognition. Notably, empathy was significantly and positively associated with monies raised. INTERACTION OF MI AND RECOGNITION ON FUNDRAISING 1
Exploring Perceived Organisational Support and Resilience as Antecedents of Expatriates' Work and Non-work Spheres amid the Covid-19 Pandemic

Expatriates face more challenges when they are exposed to hostile environments in a foreign country. Due to the COVID-19 pandemic, most expatriates are stranded abroad without adequate support mechanisms. The aim of this paper is to empirically investigate the role of perceived organisational support (POS) and resilience in predicting expatriates' perception of non-work constraints and work adjustment, and in turn, their withdrawal intention. Using the convenience sampling, questionnaire data was collected through social networking platforms from 205 expatriates across various industries in Malaysia. Partial least squares-structural equation modelling was employed to test the hypotheses. The results revealed that POS is influential in expatriates' resilience, but not in their perceived non-work constraints and work adjustment. Spillover effects occur when perceived non-work constraints influence withdrawal intention. However, perceived non-work constraints are not significantly related to work adjustment. Further, work adjustment has a negative relationship with withdrawal intention. The results indicate that organisations should customise their human resource policies to improve expatriates' resilience through webinars and counselling services during the COVID-19 crisis, which are likely to impact their work outcomes. The contribution of this study is its application of the conservation of resources theory to enrich the sparse literature on expatriation in a hostile environment.
GENDER DISCRIMINATION IN THE ABSENCE OF DISCRIMINATION LAWS: EVIDENCE FROM MALAYSIA

This study aims to estimate gender discrimination in the labour market by using fictitious job applicants, carrying gender identifiable names at the top of the curriculum vitae. Fictitious job applications were sent to genuine vacancies in Malaysia. An audit experiment was conducted on new graduate employment in a labour market with no legislation against discrimination. We recorded if there was a significant difference in call-back interview rates. We estimated the extra amount of applications females would need to make to obtain the same number of interview calls as males. Results show a female bias in call-backs was evident only in broader markets that traditionally offer female employment. an audit study to investigate the extent of bias in call-back rates for for new investigated in related to two of tertiary study: in a of employment - Administration and Resources, and the shortage sector of like and human can be found. In the narrower market of there appears to be no gender bias. Our results suggest gender discrimination can
ConFruit: Effective Fruit Classification Using CNN Algorithm

Fruit is one type of food containing nutrients, vitamins, and minerals that are generally very good for daily consumption. However, various fruit choices make consumers confused about choosing and buying fruit. In recent years, many papers have proposed fruit classification to deal with this problem. Therefore, this study offers a new recommendation model using type to dissect fruit so that buyers can more easily recognize fruit. We collected the primary dataset from Cagle to 3000 fruit images. Based on experiments, our research achieved good accuracy results using the CNN algorithm to classify fruit so that consumers can distinguish between types of fruit. Experimentally demonstrated, we harvested the promised results with better accuracy and small losses than the general fruit classification study.
THE EFFECT OF OZONATED WATER VERSUS ALKALINE PEROXIDE CLEANERS ON COLOR STABILITY, SURFACE ROUGHNESS AND HARDNESS OF TWO DIFFERENT DENTURE BASE MATERIALS

Purpose: Evaluating the effect of ozonized water versus alkaline peroxide (Corega) denture cleaner on color stability, hardness and surface roughness of materials of two denture base. Materials and methods: 180 samples were made from two commercially available denture base materials, conventional heat cure resin and polyamide resin. Denture cleansers were divided into three equal groups; ozonized water using Sota Woz-5 home ozone generator, Corega tablets and distilled water. The effect of three cleansing agents on the two different denture was evaluated and compared to color stability using spectrophotometer, surface roughness using 3D Optical profilometer and hardness using Vickers Hardness Tester. Results: Regarding to color change (ΔE); it was found that alkaline peroxide recorded statistically significant change higher than ozonized water on both denture materials, while distilled water showed no significant difference. According to the surface roughness, denture cleaners recorded statistically non-significant change on both denture materials. While in hardness, Ozonized water and alkaline peroxide recorded statistically significant on both denture materials, but alkaline peroxide recorded statistically significant higher change mean value on Polyamide than PMMA, while distilled water showed non-significant difference on both denture materials. Conclusion: Ozonized water regenerated by ozone generators is useful cost-effective means of denture cleaning. Ozonized water showed less color changes to both PMMA and polyamide materials than alkaline peroxide cleanser. Both ozonized water and alkaline peroxide had no negative effect on surface roughness and slight deteriorating effect in hardness with clinically accepted degree of change.
Factors Effecting the Adoption of E-Learning: An Empirical Study of Libyan Universities

The main aim of this thesis is to investigate the factors that could affect the students to adopt e-learning system in Libyan universities. This study is quantitative approach, a questionnaire was adopted from previous studies and distributed among the students to collect the data. The sample of the study consists 365 students from Libya. AMOS software was used to analysis the data. The results indicated that Performance Expectancy, Efforts Expectancy, Facilitating Conditions, Habit and Trust have significant impact on behavioural intention. Moreover, the relationship between Behavioural intention and use behaviour is also significantly positive. However, the relationship of social influence and behavioural intention was not found significant. Finally, the moderation effect was significant and supported between social influence, trust, and Habit with behavioural intention.
Factors associated with vasovagal reactions in whole blood donors: A case–control study

BACKGROUND: Vasovagal reactions to blood donation though generally mild and account for about 1% of donations, causes embarrassment/injury to the donors, lower likely return rates for future donations etc. The workforce hours devoted to attending to those who reacted can also affect the efficiency of the blood centre. There are various factors, both modifiable and nonmodifiable, involved in the causation of such reactions. OBJECTIVES: This study sought to identify the factors associated with vasovagal donor reactions in a case–control study. MATERIALS AND METHODS: This was a descriptive comparative study between donors who had VVRs (cases) and those who did not (controls) during or after blood donation from a single center in southern India. All the biophysical and demographic variables were collected from the donor records. In addition, a questionnaire was administered to the donors after donation within half an hour, addressing the psychosocial variables. All the data were captured in Microsoft Excel and analyzed using SPSS for Windows version 20. RESULTS: A total of 178 donors who had donor reactions were included in the study with an equal number of controls who were age and sex-matched. Donors who had VVRs had an odds of 4.1 (95% confidence interval [CI]: 2.4–7.7) of admitted anxiety for blood donation. They also had an odds of 4.4 (95% CI: 2.8–6.9) of disturbed sleep the night before blood donation. Having an accompanying person to the blood center was detrimental, with an odds of 0.32 (95% CI: 0.2–0.6). Donors with local complications such as hematoma, double prick, or delayed collection had an odds of 21.2 (95% CI: 1.8–159.8) of developing VVR. CONCLUSION: The psychosocial factors such as fear of the needle, the sight of the blood, state of mind, and quality and duration of sleep seem to have an association, adversely impacting the donors resulting in VVRs after/during blood donation.
The Role of Exercise in Treating Low Back Pain

Appropriate exercise is an important part of the management of acute and chronic low back pain. This review describes the role of exercise for low back pain. Abstract The purpose of this review is to highlight the role of exercise in preventing and managing acute and chronic axial low back pain (LBP). LBP is one of the leading contributors to years lived with disability as well as health care expenditures in the United States. With an expected increase in prevalence due to an aging population, sports medicine providers have a unique opportunity to provide effective treatment strategies incorporating exercise advice and prescription. Although the majority of individuals with acute LBP will have their symptoms resolve spontaneously, almost 40% will have recurrence or develop chronic LBP within 1 year. No single exercise method has been shown to be more effective than another. The evidence for walking programs, aerobic exercise, yoga, Pilates, and tai chi for LBP is discussed. Our review summarizes the beneficial role of a personalized exercise program and related counseling strategies in the prevention and management of LBP.
Analysis of generic science skills in prospective biology teacher students

The learning process of blood coagulation practicum for circulatory system material in Biology Education students aims to determine the ability of generic science skills. Descriptive method used in this study with research subjects consisted of 58 6th semester students. Data were obtained using essay tests. Achievement of generic science skills in students is focused on five aspects of generic science skills with research results that show, direct observation 98.83% (very good), symbolic language 38.79% (very poor), modeling 90.95% (very good), logical inference 39.51 % (very little), logic framework 94.90% (very very), with an overall average yield (75.6%) in the medium category. this generic science ability is still needed intensive guidance to increase shn for prospective teacher students biology.
Microbiological profile and anti-microbial susceptibility pattern of isolates from endo tracheal aspirate and endo tracheal tube tips in ICU patients

Background: There has been a surge of sufferers contracting healthcare-acquired infections (HAIs) in recent times. This has been further exacerbated by the SARS-CoV-2 pandemic which, beginning in 2020, has severely affected the majority of the world's nations, and one of the biggest problems caused by this infection was the high number of patients who required critical care. Aim: We sought to identify the microbiological profile and antimicrobial susceptibility pattern of bacteria isolated from tracheal aspirate and endotracheal tube (ETT) tips of patients who had to undergo ICU admittance. Methodology: We isolated a total of 150 microbial samples from 131 patients, of which 97 came from endo tracheal aspirates and the remaining 53 samples were obtained from ETT tips, following which the isolation and identification of bacteria was then done according to requisite microbiological assays. The Kirby-Bauer Technique with Mueller-Hinton agar was used to conduct the antimicrobial susceptibility testing in accordance with Clinical and Laboratory Standards Institute (CLSI) 2016 standards. Results: 53 (35%) of the 150 total specimens were from ETT tips, whereas 97 (65%) came from tracheal aspirates. 101 (67%) of the organisms were gram-negative, and 49 (33%) were gram-positive.
Harmonized retrieval of middle atmospheric ozone from two microwave radiometers in Switzerland

Abstract. We present new harmonized ozone time series from two ground-based microwave radiometers in Switzerland: GROMOS and SOMORA. Both instruments have measured hourly ozone profiles in the middle atmosphere (20–75 km) for more than 2 decades. As inconsistencies in long-term trends derived from these two instruments were detected, a harmonization project was initiated in 2019. The goal was to fully harmonize the data processing of GROMOS and SOMORA to better understand and possibly reduce the discrepancies between the two data records. The harmonization has been completed for the data from 2009 until 2022 and has been successful at reducing the differences observed between the two time series. It also explains the remaining differences between the two instruments and flags their respective anomalous measurement periods in order to adapt their consideration for future trend computations. We describe the harmonization and the resulting time series in detail. We also highlight the improvements in the ozone retrievals with respect to the previous data processing. In the stratosphere and lower mesosphere, the seasonal ozone relative differences between the two instruments are now within 10 % and show good correlation (R > 0.7) (except during summertime). We also perform a comparison of these new data series against measurements from the Microwave Limb Sounder (MLS) and Solar Backscatter Ultraviolet Radiometer (SBUV) satellite instruments over Switzerland. Seasonal mean differences with MLS and SBUV are within 10 % in the stratosphere and lower mesosphere up to 60 km and increase rapidly above that point.
Understanding Sampling Bias in the Global Heat Flow Compilation

2 Geothermal heat flow is commonly inferred from the gradient of temperature values in boreholes. 3 Such measurements are expensive and logistically challenging in remote locations and, therefore, 4 often targeted to regions of economic interest. As a result, measurements are not distributed 5 evenly. Some tectonic, geologic and even topographic settings are overrepresented in global heat 6 flow compilations; other settings are underrepresented or completely missing. These limitations 7 in representation have implications for empirical heat flow models that use catalogue data to 8 assign heat flow by the similarity of observables. 9 In this contribution, we analyse the sampling bias in the Global Heat Flow Database of the 10 International Heat Flow Commission (IHFC), the most recent and extensive heat flow catalogue, 11 and discuss the implications for accurate prediction and global appraisals. We also suggest 12 correction weights to reduce the bias when the catalogue is used for empirical modelling. 13 From comparison with auxiliary variables, we find that each of the following settings is highly 14 overrepresented for heat flow measurements; continental crust, sedimentary rocks, volcanic 15 rocks, and Phanerozoic regions with hydrocarbon exploration. Oceanic crust, cratons, and 16 metamorphic rocks are underrepresented. The findings also suggest a general tendency to 17 measure heat flow in areas where the values are elevated; however, this conclusion depends on which auxiliary variable is under consideration to determine the settings. We anticipate that the use of our correction weights to balance disproportional representation will improve empirical heat flow models for remote regions and assist in the ongoing assessment of the Global Heat Flow Database.
Sources and sinks of entropy in the atmosphere

Moist entropy is generally treated as a conserved variable in atmospheric models in the absence of external heat and moisture sources such as radiation and surface fluxes. However, both irreversible generation and nonadvective transport of entropy occur in the atmosphere, with many of these associated with moisture and precipitation. These entropy sources and sinks are needed to balance the global entropy budget. Existing work on calculating the irreversible generation of entropy and nonadvective transport is extended to include the major effects of ice.
Planning to grow, planning to rock on – infrastructure management and development in shrinking municipalities

ABSTRACT Previous work on shrinking cities has mainly addressed shrinkage and its effects in large and former industrial cities and not as much in municipalities in rural areas. In this paper, we focus on infrastructure challenges, responsibilities, and growth strategies in Swedish municipalities. We argue that there is a tension between the responsibilities connected to the municipal operations and infrastructure challenges posed by being a shrinking municipality on the one hand, and the ways the municipalities are planning for growth on the other hand. The municipalities are all struggling with the effects of population decline, leading to economic strains in all areas, including infrastructure management and development, but investments in infrastructure are many times directed towards the establishment of specific industries such as the tourism or mining industry with the belief of attracting new inhabitants, visitors, firms and industry. In addition, many of the municipalities lack the capacity and jurisdiction needed to manage the infrastructure development in some areas such as fibre optics, district heating, and electricity grids. Also, in some municipalities, the populations are spread over large geographical areas but must still provide infrastructure services to all inhabitants.
Intercropping as Sustainable Approach Against Okra Shoot and Fruit Borer Earias spp.

This study evaluates the effect of maize, sorghum and cowpea as intercrops with okra (at ratio of main: intercrop- of 1:1 and 2:1) against okra shoot and fruit borer Earias spp. incidence. The results revealed that the least shoot damage (5.00%) was observed with okra + cowpea (1:1) intercropping followed by okra + cowpea (2:1) and okra + sorghum (1:1). Maximum shoot damage (6.65%) was registered in okra + maize (2:1) as against mono-cropping (7.69%). Similarly, the least fruit damage (12.25%) was in okra + cowpea (1:1) crop statistically on par with that of okra + cowpea (2:1), okra + sorghum (1:1) and okra + sorghum (2:1); maximum (16.41%) was observed with okra + maize (2:1) and okra as a sole crop (18.42%). The okra + cowpea (1:1) recorded the maximum land equivalent ratio (1.31) followed by okra + cowpea 1.20 at 2:1 and okra+ sorghum 1.19 at 1:1 crop ratio. Okra intercropped with maize (2:1) was found less effective (0.99) than the okra sole. The maximum okra equivalent yield (111.4 q/ha) was obtained with okra + cowpea intercropping (1:1), while the least (100.9 q/ha) was in okra + maize (2:1).
Artificial Intelligence Models in the Diagnosis of Adult-Onset Dementia Disorders: A Review

Background: The progressive aging of populations, primarily in the industrialized western world, is accompanied by the increased incidence of several non-transmittable diseases, including neurodegenerative diseases and adult-onset dementia disorders. To stimulate adequate interventions, including treatment and preventive measures, an early, accurate diagnosis is necessary. Conventional magnetic resonance imaging (MRI) represents a technique quite common for the diagnosis of neurological disorders. Increasing evidence indicates that the association of artificial intelligence (AI) approaches with MRI is particularly useful for improving the diagnostic accuracy of different dementia types. Objectives: In this work, we have systematically reviewed the characteristics of AI algorithms in the early detection of adult-onset dementia disorders, and also discussed its performance metrics. Methods: A document search was conducted with three databases, namely PubMed (Medline), Web of Science, and Scopus. The search was limited to the articles published after 2006 and in English only. The screening of the articles was performed using quality criteria based on the Newcastle–Ottawa Scale (NOS) rating. Only papers with an NOS score ≥ 7 were considered for further review. Results: The document search produced a count of 1876 articles and, because of duplication, 1195 papers were not considered. Multiple screenings were performed to assess quality criteria, which yielded 29 studies. All the selected articles were further grouped based on different attributes, including study type, type of AI model used in the identification of dementia, performance metrics, and data type. Conclusions: The most common adult-onset dementia disorders occurring were Alzheimer’s disease and vascular dementia. AI techniques associated with MRI resulted in increased diagnostic accuracy ranging from 73.3% to 99%. These findings suggest that AI should be associated with conventional MRI techniques to obtain a precise and early diagnosis of dementia disorders occurring in old age.
Review on Recent Advances in Information Mining From Big Consumer Opinion Data for Product Design

In this paper, based on more than ten years' studies on this dedicated research thrust, a comprehensive review concerning information mining from big consumer opinion data in order to assist product design is presented. First, the research background and the essential terminologies regarding online consumer opinion data are introduced. Next, studies concerning information extraction and information utilization of big consumer opinion data for product design are reviewed. Studies on information extraction of big consumer opinion data are explained from various perspectives, including data acquisition, opinion target recognition, feature identification and sentiment analysis, opinion summarization and sampling, etc. Reviews on information utilization of big consumer opinion data for product design are explored in terms of how to extract critical customer needs from big consumer opinion data, how to connect the voice of the customers with product design, how to make effective comparisons and reasonable ranking on similar products, how to identify ever-evolving customer concerns efficiently, and so on. Furthermore, significant and practical aspects of research trends are highlighted for future studies. This survey will facilitate researchers and practitioners to understand the latest development of relevant studies and applications centered on how big consumer opinion data can be processed, analyzed, and exploited in aiding product design.