Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Fatty Acid Composition and Antioxidant Contents of Tribulus Terrestris L. Collected from Different Localities

For a long time, many cultures around the world have used Tribulus terrestris L. in the prevention and treatment of various diseases. In this study, the antioxidant activity and total phenolic and flavonoid content of extracts obtained with various solvents from T. terrestris plant collected from different localities in Kahramanmaraş were investigated. In addition, the fixed oil content of the extracts was examined by GC-MS analysis and as a result, 26 different fatty acids were determined. The main fatty acid components of plant extracts are linoleic acid, oleic acid and palmitic acid. The total phenolic substance value of plant extracts varies between 2.20-18-77 mg g-1, total flavonoid amount varies between 0.06-0.50 mg g-1, FRAP value varies between 6.16-23.50 µg g-1 and DPPH value varies between 1.54-10.54 µg mL-1. It was observed that the solvents used in extraction affected the bioactivity values rather than the locations. Although the absorbance values of the extracts obtained with hexane were high, low extract yield affected the results. The highest values in all characters examined were obtained from ethanolic extracts.
PRBM_A_329959 1389..1398

Business School, Sichuan University, Chengdu, Sichuan, People’s Republic of China Purpose: Drawing on the self-determination theory and the social role theory, the purpose of this study was to test the moderating role of gender and the mediating role of work engagement in the relationship between workplace loneliness and organizational citizenship behaviors (OCBs), and more importantly, the integrated moderated mediation model. Methods: A total of 290 employees from various Chinese enterprises voluntarily participated in the two-wave surveys. Hierarchical regression and bootstrapping analyses based on Hayes’ Process Model were conducted to test the hypotheses. Results: Results indicated that work engagement significantly mediates the association of workplace loneliness with OCBs. Gender serves as an important moderator in the relationship among workplace loneliness, work engagement, and OCBs that for female participants the indirect effect of work engagement linking workplace loneliness to OCBs was significant, but for male participants it was not. Conclusion: This study advances the current understandings of the moderated mediation mechanism among workplace loneliness, gender, work engagement, and OCBs. It is suggested that work engagement serves as a mediator linking workplace loneliness to OCBs, especially for the female employees.
An Application of the “Traffic Lights” Idea to Crop Control in Integrated Administration Control System

The aim of the paper is to discuss the idea of marking agricultural parcels in the control of direct payments to agriculture. The method of using remote sensing to monitor crops and mark them according to the idea of “traffic lights” is introduced. Classification into a given “traffic lights” color gives clear information about the status of the parcel. The image classification was done on Sentinel-1 and Sentinel-2 datasets by calculating the NDVI and SIGMA time series in the season from autumn 2016 to autumn 2017. Two approaches are presented: semi-automated and automated classifications. Semi-automated classification based on NDVI_index and SIGMA_index. Automated classification was performed on NDVI by Spectral Angle Mapper method and on SIGMA by Artificial Neural Network (Multilayer Perceptron, MLP method). The following overall accuracy was obtained for NDVI_SAM: 70.35%, while for SIGMA_CNN it was: 62.01%. User accuracy (UA) values were adopted for traffic lights analysis, in machine learning: positive predictive value (PPV). The UA/PPV for rapeseed were in NDVI_index method: 88.1% (6,986 plots), NDVI_SAM: 85.0% (199 plots), SIGMA_index: 61.3% (4,165 plots) and in SIGMA_CNN: 88.9% (2,035 plots). In order to present the idea of “traffic lights”, a website was prepared using data from the NDVI_index method, which is a trade-off between the number of plots and UA/PPV accuracy.
The Effects of Different Irrigation Scheduling Approaches on Seed Yield and Water Use Efficiencies of Cotton

This study was conducted in the Aegean region conditions of Turkey in 2020. It was carried out on May-505, a local cotton variety. The study examined the variation of seed yield, water use efficiency (WUE), and irrigation water use efficiency (IWUE) of cotton with different irrigation programs and water levels. The field trial, which was designed as two factors and three replications, was designed according to the randomized complete block trial design. Four different irrigation levels (IL) (100%, 67%, 33%, and 0%) and two different irrigation scheduling approaches (gravimetric and pan evaporation) were investigated in the study. Seasonal water use values in treatments varied between 215 (0%) and 746 (100% - Pan evaporation approach) mm during the production period. The average yield values obtained with irrigation levels, which have essential effects on cotton seed yield, are listed as follows; 2057 kg ha-1 (IL-0%), 3471 kg ha-1 (IL-33%), 3771 kg ha-1 (IL-67%), and 5083 kg ha-1 (IL-100%). It was determined pan evaporation applications performed higher yields than gravimetric applications. WUE values were between 0.63 – 1.04 kg m-3. The gravimetric method’s yield response factor (ky) was 0.73, and the pan evaporation method’s yield response factor (ky) was 0.89. These results show that cotton is tolerant of water stress. In conclusion, although the pan evaporation approach with 100% treatment is suggested for cotton production in the parts of the Aegean region within the semi-arid climate zone, while water resources are sufficient. When the results are evaluated in terms of seed cotton yield for a deficit irrigation strategy, IL-67% treatment with a gravimetric approach can be used.
GENETIC DIVERSITY AMONG ASPARAGUS SPECIES AND CULTIVARS USING SSR

The aim of the present study was used to develop SSR markers and to determine genetic relationships among Asparagus species and its cultivars. We mined 72953 Asparagus nucleotide sequences from NCBI and were analyzed. In total, 143 SSRs from 1943 SSRs containing sequences were identified. Of these, 13.6 % were dinucleotide repeats and 2.3 % were trinucleotide repeats. The most frequent dinucleotide repeat motif was AA/TT (73.9 %). The percentage of tri-nucleotide motifs was highest which coded for stop codon (36 %), whereas the Glycine was least present (4.5%). Among the total of 14 SSR primers used, 10 markers yielded 144 (92.3 %) polymorphic bands with an average of 14.4 alleles per primer. Cluster analysis based on UPGMA grouped the Asparagus species and its cultivars into two main clusters. Cluster A contained only A. grecilius which is more diverse than others, while cluster B was further clustered into two sub clusters. Cluster I was comprised of Asparagus officinalis cultivars and cluster II was comprised of Asparagus wild species. Furthermore, these primers (42.8%) were found to be transferable in other medicinal plants (Curcuma longa L. and Saussurea costus). The results suggest that SSR markers are sufficiently useful and powerful to assess genetic relationships and diversity analysis in Asparagus and A. officinalis cultivars. Furthermore, these markers will be particularly useful for evolutionary and genetic mapping studies in Asparagus.
DETECTION OF FLOOD IMPACTED AREAS IN EAST NUSA TENGGARA USING SENTINEL-1 IMAGERY

Flash Floods in East Nusa Tenggara occured on April 4th, 2021. These Flash Floods are scattered from East Flores Regency, Lembata Regency, Alor Regency, Malacca Regency, Sabu Raijua Regency, Kupang City, Kupang Regency, and Ende Regency. The cause of these Flash Floods is the high intensity of rain caused by the tropical cyclone Seroja. Mapping of flood locations plays an important role in prevention and mitigation efforts. In this study, InSAR data processing was carried out from the Sentinel 1A satellite to find flood-affected locations in East Nusa Tenggara. 32 images of Sentinel-1 were processed before and 31 images after the Flash Floods incident. The method used is the classification method using cloud computing, Google Earth Engine. The results show that the flood-affected areas can be detected based on a lower pixel value (indicating a very small signal backscatter value), then compared to the conditions before the flood. The four sample points identified, namely points A, B, C, and D each have pixel values ​​of -8.58, -9.99, -12.43, and -9.29 for the VV polarized image, respectively. For VH polarized image is -17.35, -17.96, -17.84, and -14.22, respectively.
Kurdish Dialect Recognition using 1D CNN

Dialect recognition is one of the most attentive topics in the speech analysis area. Machine learning algorithms have been widely used to identify dialects. In this paper, a model that based on three different 1D Convolutional Neural Network (CNN) structures is developed for Kurdish dialect recognition. This model is evaluated, and CNN structures are compared to each other. The result shows that the proposed model has outperformed the state of the art. The model is evaluated on the experimental data that have been collected by the staff of department of computer science at the University of Halabja. Three dialects are involved in the dataset as the Kurdish language consists of three major dialects, namely Northern Kurdish (Badini variant), Central Kurdish (Sorani variant), and Hawrami. The advantage of the CNN model is not required to concern handcraft as the CNN model is featureless. According to the results, the 1 D CNN method can make predictions with an average accuracy of 95.53% on the Kurdish dialect classification. In this study, a new method is proposed to interpret the closeness of the Kurdish dialects by using a confusion matrix and a non-metric multi-dimensional visualization technique. The outcome demonstrates that it is straightforward to cluster given Kurdish dialects and linearly isolated from the neighboring dialects.
Towards a comprehensive assessment system of local government fiscal health

Understanding fiscal health, also commonly referred to as financial condition, is key to sound decision making and the proper functioning of local government. Nonetheless there is no agreed upon way to measure fiscal health. We argue that the use of a conceptual framework is essential in furthering our understanding of measuring and assessing local government fiscal health. In this study we offer a framework and a set of financial accounting indicators visualizing fiscal health on the short and long term, taking into account the existing liabilities and local government obligations towards its constituents. The study draws on the theoretical and empirical analysis of corporate bankruptcy prediction models and local government fiscal distress models. We develop a possible comprehensive set of fiscal health indicators and compare it with existing empirical studies of local government fiscal health. The model captures current performance in four solvency dimensions (cash, budget, service-level and long term) and allows for predictions of future performance, taking into account risks (predictors of possible future financial stress) and capabilities (opportunities to strengthen future financial health). We tested our model by reviewing 33 empirical studies and found that we could allocate all indicators used to the dimensions of our framework. No empirical study appears to address all dimensions. The selection of performance dimensions is partly driven by the studies’ research objectives.
Efficacy of Distal Intracoronary Epinephrine and Glycoprotein IIb/IIIa Inhibitors in the Treatment of No-reflow during Percutaneous

Background: No-reflow is considered a major percutaneous coronary intervention complication, especially in primary PCI. A variety of medications have been studied for no-reflow treatment, including intracoronary nitrates, verapamil, adenosine, glycoprotein IIb/IIIa inhibitors, and epinephrine. Glycoprotein IIb/IIIa inhibitors and epinephrine are the two most promising agents for the treatment of no-reflow. Aim of work: evaluating epinephrine and glycoprotein IIb/IIIa inhibitors efficacy in treating no-reflow through local distal intracoronary injection in comparison to traditional intracoronary administration in the guiding catheter. Subjects and methods: 30 patients undergoing PCI complicated by no-reflow phenomenon. Patients were randomized to either group I where they were treated by local distal intracoronary injection of GP IIb/IIIa inhibitor and epinephrine or to group II where they received the same medications via the traditional intracoronary injection. Primary outcomes were TIMI flow, corrected TIMI frame count and TMPG, and major adverse cardiac events within 48 hours was the secondary outcome. Results: Group I had significantly superior angiographic outcomes than group II. As regards TIMI II-III flow, 86.7% of patients achieved it in versus 53.3% in group II, CTFC was 8.2versus 9.9, and in group I, 80% of patients achieved TMPG II-III, compared to 46.7 % in group II. MACE was insignificantly different between both groups. Diabetes mellitus was found to be the only predictor to be negatively associated with TIMI flow. Conclusion: Distal coronary artery local injection of a combination of GP IIb/IIIa inhibitors and epinephrine achieved superior angiographic outcomes in the treatment of refractory no-reflow in comparison with traditional intracoronary administration of the same medications.
E-S-Qual and E-RecS-Qual Toward Customer Satisfaction, Trust and Loyalty in Electronic Banking Services during the Covid-19 pandemic Ramadania

During the pandemic, many countries has adopted physical & social distancing policies, lockdowns, or territorial quarantine. Therefore the use of electronic banking services has increased sharply, including in developing countries such as Indonesia. Electronic banking services that are popularly used by many customers are in the form of internet banking and mobile banking. This study aimed to analyze; 1) the impact of the core online service quality (E-S-QUAL) on customer satisfaction, 2) the effect e-recovery service quality (E-RecS-QUAL) on satisfaction, 3) the effect of satisfaction on customer trust and 4) the effect of trust on customer loyalty. This research is causality research or explanatory research. The data collected by survey method to 120 respondents from customers who are registered users of e-banking (i.e. internet banking or mobile banking) from Mandiri, BCA, and Bukopin Bank. The results showed that the core online service quality (E-S-QUAL) and e-recovery service quality (E-RecS-QUAL) proved to have a positive influence on customer satisfaction. This research also proves the strong positive relationship between satisfaction and trust, as well as trust also has been shown to have a strong influence on customer loyalty. Keyword: e-banking, e-s-qual, e-recs-qual, satisfaction, trust dan loyalty E-S-Qual dan E-RecS-Qual Menuju Kepuasan, Kepercayaan dan Loyalitas Nasabah dalam Layanan Perbankan Elektronik saat pandemi Covid-19 ABSTRAK Selama pandemi, banyak negara mengadopsi kebijakan physical & social distancing, lockdown, atau karantina wilayah. Oleh karena itu penggunaan layanan perbankan elektronik mengalami peningkatan yang cukup tajam, termasuk di negara berkembang seperti Indonesia. Layanan perbankan elektronik yang banyak digunakan nasabah berupa internet banking dan mobile banking. Penelitian ini bertujuan untuk menganalisis; 1) pengaruh kualitas layanan inti online (E-S-QUAL) terhadap kepuasan pelanggan, 2) pengaruh kualitas layanan e-recovery (E-RecS-QUAL) terhadap kepuasan, 3) pengaruh kepuasan terhadap kepercayaan pelanggan dan 4) pengaruh kepercayaan terhadap loyalitas pelanggan. Penelitian ini merupakan penelitian kausalitas atau penelitian eksplanatori. Pengumpulan data dilakukan dengan metode survei kepada 120 responden dari nasabah pengguna e-banking terdaftar (internet banking atau mobile banking) dari Bank Mandiri, BCA, dan Bank Bukopin. Hasil penelitian menunjukkan bahwa kualitas layanan inti online (E-S-QUAL) dan kualitas layanan e-recovery (ERecS-QUAL) terbukti berpengaruh positif terhadap kepuasan pelanggan. Penelitian ini juga membuktikan hubungan positif yang kuat antara kepuasan dan kepercayaan, serta kepercayaan juga terbukti memiliki pengaruh yang kuat terhadap loyalitas pelanggan. Kata kunci: e-banking, e-s-qual, e-recs-qual, kepuasan, kepercayaan dan loyalitas MATRIK: JURNAL MANAJEMEN, STRATEGI BISNIS DAN KEWIRAUSAHAAN Homepage: https://ojs.unud. ac.id/index.php/jmbk/index Vol. 15 No. 1, Februari (2021), 100-108
Cultural Values that Impact Blended Learning Acceptance and Effectiveness

Flexibility in terms of time, cost reduction, and learning outcome enhancement has been considered to be one of the main benefits of blended learning; meanwhile, for sophisticated technology, support resources for course redesign, as well as learner responsibility, are generally regarded as the main challenges facing blended learning implementation. With this in mind, this study highlights the cultural values that directly impact blended learning acceptance and effectiveness; it intends to evaluate the existing literature using a systemic review. In summary, the study found that those within a culture of high collectivism, power distance, short-term orientation, and uncertainty avoidance, tend to favour the traditional classroom and structured learning. Hence, such individuals may struggle to adopt the blended learning system, as this requires an independent, active, and self-directed learner.
Bankruptcy Prediction Model with Risk Factors using Fuzzy Logic Approach

Forecasting bankruptcy remains crucial, especially during this pandemic. Managers, financial institutions, and government agencies rely on the information regarding an impending bankruptcy threat to make decisions. This paper developed a straightforward bankruptcy prediction model using the fuzzy logic approach for individuals and companies to evaluate their performance and analyse the tendency of getting bankrupt. A sample of 250 respondents from banks and financial firms were tested using the qualitative risk factors, namely, industrial risk, management risk, financial flexibility, credibility, competitiveness, and operational risk. This study provides a comprehensive analysis using the Fuzzy Inference System (FIS) editor in the MATLAB software, where the model's accuracy is compared to the actual results. The results show an accuracy rate of 99.20%, indicating that this approach can determine the likelihood of bankruptcy. The fuzzy logic approach can improve prediction accuracy while also guiding decision-makers in detecting and preventing possible financial crises in their early phases.
Features of Changes in the Structural and Functional State of the Myocardium in Patients with Acute Myocardial Infarction Depending on Body Mass Index Considering FABP4 and CTRP3 Levels

Introduction. Adipokines such as fatty acid-binding protein 4 (FABP4) and C1q tumor necrosis factor-related protein 3 (CTRP3) can affect the structural and functional state of the myocardium in patients with acute myocardial infarction and obesity. The objective of the research was to determine the relationship between FABP4, CTRP3 and echocardiographic parameters of the left ventricular myocardium in patients with acute myocardial infarction depending on body mass index. Materials and Methods. The observational cross-sectional study examined 189 patients with acute myocardial infarction depending on body mass index, who were divided into the following groups: Group 1 included 60 patients with acute myocardial infarction and normal body mass index; Group 2 comprised 68 patients with acute myocardial infarction and excess body weight; Group 3 included 61 patients with acute myocardial infarction and obesity. Results. In Group 1, the statistical significance correlations were found: between FABP4 and end-diastolic dimension (EDD; r = -0.458), end-systolic dimension (ESD; r = -0.460), end-diastolic volume (EDV; r = -0.452), left ventricular myocardial mass (LVMM; r = -0.411), LVMM/body surface area index (LVMMI2; r = -0.419); between CTRP3 and EDV (r = 0.425), EDD (r = 0.469), left ventricular relative posterior wall thickness (LVRPWT; r = -0.469). In Group 2, there were found the statistical significance relationships between: FABP4 and EDD (r = 0.461), ESD (r = 0.467), EDV (r = 0.449), end-systolic volume (ESV; r = 0.485), LVMM (r = 0.487), LVMMI1 (r = 0.406); between CTRP3 and EDD (r = -0.440), EDV (r = -0.413), LVMM (r = -0.430), LVMM/height2.7 index (LVMMI1; r = -0.483). In Group 3, the statistical significance correlations were found between: FABP4 and EDV (r = 0.481), ESD (r = 0.411), ESV (r = 0.490), LVMMI1 (r = 0.403); between CTRP3 and EDV (r = -0.326), ESD (r = -0.367), ESV (r = -0.453), LVMMI1 (r = -0.415). Conclusions. In patients with acute myocardial infarction and overweight/obesity, echocardiographic parameters had a significant low positive correlation with FABP4 and a low negative correlation with CTRP3. On the contrary, in patients with acute myocardial infarction and normal body mass index, echocardiographic parameters had a significant low negative correlation with FABP4 and a low positive correlation with CTRP3.
Effect of SARS-CoV-2 infection on outcome of cancer patients: A systematic review and meta-analysis of studies of unvaccinated patients

Background. Since the beginning of the SARS-Cov-2 pandemic, cancer patients affected by COVID-19 have been reported to experience poor prognosis; however, a detailed quantification of the effect of SARS-CoV-2 infection on outcome of unvaccinated cancer patients has not been performed.Methods. To carry out a systematic review of the studies on outcome of unvaccinated cancer patients infected by Sars-Cov-2, a search string was devised which was used to identify relevant publications in PubMed up to December 31, 2020. We selected three outcomes: mortality, access to ICU, and COVID-19 severity or hospitalization. We considered results for all cancers combined as well as for specific cancers. We conducted random-effects meta-analyses of the results, overall and after stratification by region. We also performed sensitivity analyses according to quality score and assessed publication bias.Results. For all cancer combined, the pooled odds ratio (OR) for mortality was 2.32 (95% confidence interval [CI] 1.82-2.94, I2 for heterogeneity 90.1%, 24 studies), that for ICU admission was 2.39 (95% CI 1.90-3.02, I2 0.0%, 5 studies), that for disease severity or hospitalization was 2.08 (95% CI 1.60-2.72, I2 92.1%, 15 studies). The pooled mortality OR for hematologic neoplasms was 2.14 (95% CI 1.87-2.44, I2 20.8%, 8 studies). Data were insufficient to perform a meta-analysis for other cancers. In the mortality meta-analysis for all cancers, the pooled OR was higher for studies conducted in Asia than studies conducted in Europe or North America. There was no evidence of publication bias.Conclusions. Our meta-analysis indicate a two-fold increased risk of adverse outcomes (mortality, ICU admission and severity of COVID-19) in unvaccinated cancer patients infected with SARS-CoV-2 compared to uninfected patients. These results should be compared with studies conducted in vaccinated patients; nonetheless, they argue for special effort to prevent SARS-CoV-2 infection in patients with cancer.Funding. No external funding was obtained.