Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of oil point threshold indicators of bulk rapeseeds and sunflower seeds under compression loading

The article evaluates the oil point parameters of samples of bulk rapeseeds and sunflower seeds under compression loading. The oil point is the region where the oil emerges from the seed kernel which requires maximum pressure to recover the maximum oil contained in the bulk seeds. The determination of the maximum pressure, however, requires both the experimental and theoretical analyses of the oil point parameters namely strain, energy, oil yield and gradient volume energy. This information is limited in the literature for bulk oilseeds such as rape and sunflower. In this present study, the oilseeds samples were measured at an initial pressing height of 80 mm in a pressing vessel of diameter 60 mm. The deformation levels of 30, 35, 40, 45 and 50 mm were tested for the lower and upper oil points at a speed of 10 mm·min using the litmus test procedure. The above-mentioned oil point indicators were calculated. The force-deformation curve of the upper oil point was theoretically described by the tangent curve model where the coefficients of the model were determined and statistically analyzed to assess the accuracy of the model using the MathCAD 14 software. The study provides useful information for optimizing the mechanical oil extraction process involving screw presses.
Quality Evaluation of Dried Fermented Locust Bean and Soybean Condiments

The study was carried out in order to establish the suitability of fermented soybean condiment as an alternative to fermented locust bean condiment in meal preparations. The dried fermented condiments were subjected to chemical, microbial and sensory evaluation using standard methods. Results revealed significantly (p<0.05) higher protein (54.06%), ash (6.21%), crude fat (14.15%) and pH (8.90) content in fermented soybean condiment. Higher values of 44.72 mg/100 g, 20.06 mg/100 g, 612.40 mg/100 g and 164.34 mg / 100 g were also observed in fermented soybean condiment with respect to iron, magnesium, potassium, and calcium respectively. Furthermore, fermented soybean condiment revealed significantly (p<0.05) higher vitamin content of 647.62 UI/100 g, 0.047 mg/100 g and 0.030 mg/100 g for provitamin A (β-Carotene), vitamins B1 and B2 respectively. Microbiologically, total plate count of 1.7×10 CFU/g and 1.4×10 CFU/g were observed for fermented soybean and locust bean condiments respectively. There was however no fungal growth observed in both condiments. Isolation and characterization of bacteria isolates revealed Bacillus subtilis as the common microorganism in both condiments. Bacillus licheniformis was predominant in locust bean condiment, while Bacillus pumilus was more in soybean condiment. With the exception of appearance, there was no significant difference (p>0.05) between the condiments in terms of their sensory attributes. Sensory scores for fermented soybean condiment were however higher than that of fermented African locust bean. From this study, soybean condiment may be a suitable substitute to locust bean (Parkia biglobosa) condiment, following the gradual extinction of the plant.
Indones ia Alice in Wonderland Movie Texts

Background: Research on the meaning of experience in the breadth of bilingual analysis has been carried out from various languages in the world. However, this topic needs further investigation as research, especially for English to Indonesia. Methodology: The data were extracted from the Alice in Wonderland (2010) film texts and then quantified and validated using quantitative research techniques. Furthermore, the data analyzed in several steps: classifying the data into realized and unrealized expressions, classifying the data or degrees of variation, classifying the higher degree of each clause compared, providing the total number of clauses and their process type. Findings: Research results indicate that the most prominent degree of experiential meaning breadth variations falls into the “lowest” category of variation with 57.54%. This means that the Target Text is closely related to the Source Text and/or the translator of Target Text applied source-based translation regarding experiential meaning breadth complexity. It is also strengthened by the average degree in each of the analyses falling in the “very low” category. The contextual factors that motivate the occurrence of the variations consist of inter-textual and situational context (field, mode, and tenor). The contextual effects about the target readers are related to two aspects; the readability and the purpose of creating the texts. The Target Text is readable for the target readers of the text; target readers feel entertained by interpreting the text. Conclusion: Creating the Target Texts is for education and gives effects for the target readers to enrich their vocabularies and improve their English skills.
The influence of institutional isomorphism on budget acceptance mediated by the purposes of planning and dialogue

Revista de Contabilidade e Organizações Igor Pereira da Luza, Carlos Eduardo Facin Lavardaa Corresponding author: Tel. +55 (48) 3721-9383 E-mail: i.pereiradaluz@gmail.com (I. P. da Luz); elavarda@gmail.com (C. E. F. Lavarda) Universidade Federal de Santa Catarina, Departamento de Ciências Contábeis. Trindade Florianópolis/SC 88040900, Brazil www.rco. usp.br Journal of Accounting and Organizations Copyright © 2021 FEA-RP/USP. All rights reserved.
THE EFFECT OF INTELLECTUAL CAPITAL ON FINANCIAL PERFORMANCE IN THE ASEAN TELECOMMUNICATIONS SECTOR

Telecommunication sector plays an important role in people’s life, but its service in ASEAN nations are not as good as other nations. Currently, ASEANs telecommunication sector of financial performance (FP) is on a poor level and needs to be improved. Intellectual capital (IC) can increase FP. Every IC's component affects the FP, and this was tested on this research to see which component of IC is good to be invested to increase company’s FP. Independent variables used on this research are Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE), Relational Capital Efficiency (RCE), and Capital Employed Efficiency (CEE). The dependent variable is Return on Assets (ROA). This research used pooling data method from financial statements of ASEAN telecommunication company in the period of 2011 to 2018. The number of samples which fulfills the criteria were 273 samples. SPSS 20th version was used to analyses the data. The results indicate that FP is affected positively and significantly by HCE and CEE. However, SCE has a negative effect on FP significantly, while RCE does not affect FP. Keywords: Intellectual Capital, Financial Performance, E-VAIC, ASEAN Telecommunication.
Monitoring of Heavy Metals in Major Drains and Farms at Fayoum Government and Treatment by Pumpkin and Eggplant

Drain water is the removal of a surface water from an area with high amount of water whether naturally or industrially originated. Water is carried to outlet by main drains collecting water from the laterals. Sub mains branched from the main drain are used to collect water (Dalrymple, 2015). In Egypt, the annual supply of water is about 57.7 billion cubic meters collected from the Nile, rainfall along the Mediterranean coast and the deep groundwater as well. However, the estimated used water for farms, industries, and people is around 72.4 BCM (Barnes, 2014). It is noteworthy to mention that, most of the heavy metals are bound to particles in sediment, though a small quantity is dissolved in water and can spread widely mounting the atmost top of the food chain (El-Nemeki et al., 2008). Furthermore,wells, rivers, dams and large ponds are good sources of water for fish farm ponds (Gabbadon & De Souza, 2008). Hence, aquatic organisms are exposed to high levels of heavy metals. Since fish are relatively sensitive ARTICLE INFO ABSTRACT Article History: Received: May 22, 2021 Accepted: June 27, 2021 Online: June 30, 2021 _______________
Protective effect of ellagic acid against angiotensin II-induced cardiomyocyte hypertrophy in H9c2 myocardial cells: Role of calcineurin/NFAT pathway

Background: Ellagic acid, a major ellagitannin found in pomegranate extract, might be an attractive natural and safe bioactive compound for prevention of cardiac hypertrophy in many pathological conditions that are associated with elevated circulating angiotensin II (Ang II). Ang II stimulates multiple signal transduction pathways involved in hypertrophy including calcineurin/nuclear factor of activated T cell (NFAT). Objective: The present study aimed to explore the possible anti-hypertrophic activity of ellagic acid against Ang II-induced cardiomyocyte hypertrophy and the role of calcineurin/ NFAT signaling pathway in this action. Methods: H9c2 myocardial cells were treated with different concentrations of ellagic acid one hour before exposure to Ang II. Biological markers of cardiac hypertrophy including changes in cell size and protein content, and atrial natriuretic peptide (ANP) protein expression were assessed using light microscopy, Bradford method and western blotting, respectively. The effects of ellagic acid on the protein expression of calcineurin and nuclear localization of NFATc4 were also investigated using western blotting and immunofluorescence assay, respectively. Results: The results showed that pretreatment with ellagic acid could efficiently prevent Ang II-induced hypertrophic response which was associated with changes in hypertrophy-related biomarkers including increase in cell size and protein content, and ANP overexpression. Moreover, ellagic acid inhibited Ang II-induced calcineurin up-regulation and nuclear localization of NFATc4. Conclusion: In summary, our findings showed that ellagic acid effectively inhibited Ang II-induced cardiomyocyte hypertrophy. This is the first report demonstrating the role of calcineurin/NFAT pathway inhibition in this protective effects. Future in vivo studies are required to elucidate if ellagic acid could ameliorate cardiac hypertrophy and its transition to heart failure.
Activity-determined Steps on the Growth of Atmospheric CO2 Concentration Environmental Kuznets Curve (EKC) at the Country Level: Taiwan’s Empirical Evidence

Taiwan’s atmospheric CO2 concentration is half in compliance on the formation of a environmental Kuznets curve (EKC), and the major contributor of direct CO2 emissions in Taiwan is from the power generation sector using coal and natural gas as fuel. Atmospheric CO2 concentration has been found to have the linear increment with stepwise fluctuations every five years during the period 2001-2018. Activity-determined steps were proposed noting that there is a proportion process for the increase of CO2 coming directly from the emission source of power plants and the source from the marginal sea sink to atmosphere sink due to memory delay-releasing. The alternative occurring events of EI Nino and La Nina in the West-Pacific region exactly match the fluctuations every five years, and the difference between the monitored atmospheric CO2 concentration with an empirical equation of calculated atmospheric CO2 concentration from the electricity structure in a single country level is a new indictor for the occurrences of EI Nino and La Nina phenomena in this region. Results also showed that the atmospheric CO2 concentration in Taiwan for the year 2035 is predicted to be as high as 430 ppm, due to a 50% natural gas energy policy. Our study provides a Original Research Article Huang; AJEBA, 21(5): 58-65, 2021; Article no.AJEBA. 67160 59 causal explanation for why atmospheric CO2 concentration has a linear increase shape with stepwise fluctuations for a single country. Our study has also proved that the linear increment with stepwise fluctuations also exhibits a EKC pattern.
Deep Learning Based Data Augmentation for Breast Lesion Detection

Deep learning has become increasingly popular in a wide range of applications in the past few years. The performance improvements in hardware and machine learning models have made it possible to train a deeper and wider network to achieve state-of-the-art (SOTA) performance for those applications. However, there still exist several potential obstacles that researchers have to overcome before producing a model that could actually be useful in reality. One of the common obstacles is related to the data itself. The training data collected from a small hospital could be limited in quantity and a pre-trained model taken from other hospitals could have bad generalization performance due to potential differences in the X-ray machines and the environment in which the mammogram is taken[41]. Moreover, since the majority of the data collected from the mammogram comes from patients who actually have no illness, there could be a serious imbalance of positive/negative cases in the training data. Models trained using such data could naively achieve an extremely high overall accuracy by predicting everything as normal and would have no actual value in reality. However, lesion/cancer detection is a task that requires the model’s predictions to be accurate for both positive/negative cases, resilient to noises, and consistent across different data sources. In this thesis, we provide workarounds for the issues mentioned. Our experiment is based on the UPITT mammogram dataset that is comprised of 79501 images collected from approximately 22267 distinct patients. In order to deal with the dataset size restriction and to achieve localized explanation, we decide to use a patch-based model for the lesion classification. We extract the normal patches from the breast tissue in images with BIRADS level of 1. The lesion patches are extracted from the ROI(region of interest) labeled by the radiologist from images with BIRADS level score of 0,2 using computer vision techniques. We designed our own techniques to deal with the serious data imbalance via deep learning-based SMOTE[9] and GAN[6, 12, 18, 28] and test those techniques with a deep convolutional model that is similar to VGG16[35].
Measuring the Impact of Mental Accounting on Financial and Investment Decisions among Investors

The study aims to identify the impact of mental accounting on financial and investment decision-making among Palestinian investors. The study used the descriptive analytical method, and the study was based on a questionnaire distributed to the sample of the study consisting of (136) Palestinian investors, and the results of the study found that mental accounting contributes to enhancing the risk assessment of financial and investment decisions of Palestinian investors, thus avoiding the risks associated with the decisions taken, and recommended the need to conduct simulation models to raise the financial culture of investors in light of the uses of mental accounting in financial and investment decisions in order to increase the skills and potential of investors in managing the information available to them in the portfolio management Finance.
SUSTAINABILITY, THREE GENERATIONS OF CONSUMER PSYCHE AND “FAST-HOMEWARE”

Fast-homeware, akin to fast-fashion, is an emerging sector which this study argues is largely underresearched. Similar to other sectors of the textile industry, fast-homeware has a devastating impact on the environment and is in dire need of study. In turn, this would prevent fast-homeware from becoming normalised and entrenched into consumer psyche. “43% of consumers like their favourite fashion retailer to offer a wide range of products” (Mintel Group Ltd., 2018) and as seen in many UK fast-fashion stores, this now includes homeware. Consumers primarily care “about price, quality and value” (Bucic et al. 2012), above sustainability or ethicality, and coincides with the over-saturation of fast-homeware at cheap, affordable prices. Through focus groups, the intention of this study is to explore consumers understanding of ethicality and sustainability in relation to homeware. Moreover, this study explores consumer responses to other fast-homeware related areas, internet, social-media, and the housing market. In particular, the consumers who had taken part represent three different generations. This is fundamental as too much focus is given to younger generations creating problems such as fast-fashion or fast-homeware. Regardless of how the textiles industry conducted itself fifty or sixty years prior, all generations interact with its current form. All generations have a responsibility to ensure they are practicing sustainable/ethical consumerism. This study is particularly pertinent as there are no found, comparable studies in this area. Further still, there was very little literature that alluded to fast-homeware, instead the majority of academic research concentrates on fast-fashion. In turn, this potentially makes this study the first to research into the sector of fast-homeware and identifying as a current and growing issue. The research highlighted many areas of further research, amongst those were some key findings that will be briefly established here. Participants did not consume homeware in accordance with how sustainable or ethical it was, instead ‘value for money’ was the central theme of consumer behaviour. Furthermore, there is a gap in consumer knowledge in all generations interviewed. Whilst literature has focused on the Millennial generation consumption, it has overlooked other generational consumer behaviour and attitude. Finally, this research discusses the link between fast-homeware and social media influence, finding an inherent connection through both their target demographics. Short term beneficiaries of this research include be other academics who wish to research into an untapped, unexplored, and current field. In the long term, benefits of this research extend to consumers of homeware and the environmental state of the planet.
Evaluation of Improved Faba Bean Technology in The Wider-Scale: Lesson from Stakeholders’ Participation in Wag-Lasta, Ethiopia

Received : 23/12/2019 Accepted : 26/12/2020 This scale-wide participatory evaluation was designed to assess farmers’ technology preference and stakeholders’ linkage on top of estimating the advantage and efficiency of improved faba bean technology over the local practice. On-farm experiment and assessment were conducted using 100 farmers who allocate 0.25-0.5ha of land in Wag-lasta dryland. Planting and other agronomic standards were applied as per the technological recommendation. Required quantitative and qualitative data collected at farm and farmer level using quadrants and checklist, respectively. Costbenefit analysis, descriptive and inferential statistics were employed to analyse the quantitative data. Qualitative data such as farmers’ technology preference and stakeholders’ linkage were assessed in simple ranking matrix and SWOT analysis. The improved faba bean technology provided mean grain yields of 1340 and 590 kg ha in Lasta and Sekota districts, respectively. It has thus a 31.4% and 38.9% yield advantage and penalty over the local practice, in that order (p<10%). The improved technology had a profit of 5.3ETB in Lasta, and below the local practice in Sekota district for each 1ETB investment. Among parameters, improved technology’s vegetative performance, seed size and yield were convinced farmers in Lasta district. Therefore, results from the improved technology in both districts would provide lesson for future breeding and adaptation programs to apprehend the desired traits and yield-limiting dynamics accordingly. The SWOT analysis also revealed that some strategies are pertinent to strength actors’ linkage in extension system via using strengths and opportunities to overcome weaknesses and threats.
Financial Socialisation of Accounting Students in South Africa

The purpose of the study is aimed at determining the financial socialisation of accounting students at South African universities and the factors that influence financial socialisation. The research used statistical techniques such as the structural equation modelling methodology to identify financial socialisation influencers and regression analysis to analyse associations between financial socialisation and socio-demographic variables among 1582 students. The study's results indicate that financial socialisation agents such as relatives, friends, and social media have little impact on most students' financial decisions. The majority of accounting students are often found to be financially socialised by their immediate family members rather than peers or social media factors. The regression analysis results confirmed this observation, revealing a statistically significant association between the parents' level of education and the students' financial socialisation. This study recommends that financial socialisation can be greatly improved by raising parents' educational levels and instilling financial education in university students' curricula, especially in South Africa.
The Role of Human Resource Management in Service Sectors during Covid-19 Pandemic

In today’s business world, human resources are considered as an important resource for the organization’s success. To make better use of human resources, organizations must empower their employees This study aims to determine the impact of leading organization and leading people on trust and the organizational performance in the service sectors during Covid-19 pandemic. The research is quantitative, and the sampling technique is purposive sampling, with 103 respondents. Data collected were analyzed using Partial Least Squares path modeling to test the hypotheses. The study’s findings proved positive and significant linear relationship between leading people on trust and organizational performance. Managerial implication that the success leader in service sectors able to elevate trust among people, motivate the employees and to enhance organizational performance. As result, leadership training and elevate the trust amongst employees are the most essential strategies in service sectors during the Covid-19 pandemic.
State ownership and governance

Considering the challenges for governance arising from the presence of the state as a shareholder in Brazilian companies, this study sought to investigate the effect of state ownership on corporate governance, using data from a sample of 234 Brazilian public companies between 2010 and 2016. Two governance indices were created (ratio and factorial), contemplating 12 aspects of governance for each company for each year, which is the innovation offered by this paper. The data were obtained from the Brazilian Securities and Exchange Commission (CVM) and regression analysis with unbalanced panel data using the GMM-Sys model was adopted. We found that the presence of the state as a shareholder had a negative effect on the Corporate Governance Index (IGC) of public companies, that is, state ownership was associated with a lower quality of governance.