Open pitaya (Stenocereus thurberi) flowers were marked at 10, 20, 30 and 40 days after floration (DAF). When fruit were formed, they were collected from each of the dates with the objective of evaluating physical, physiological and quality changes before and after harvest. In fruits with different DAF, the analyses of fruit size (diameter and length), weight, density, firmness, color in pulp and peel (L*, a* and b*), respiration rate (CO₂) and ethylene production were carried out. In the case of ripe and overripe fruit, in addition to the variables mentioned above, pH, percentage of total soluble solids TSS and total acidity (% citric acid equivalents) were evaluated. Fruit with 40 DAF were stored for up to 14 days at 25 ℃ and 80% RH to evaluate daily changes in respiration rate and ethylene production. It was found that during development the fruit tended to grow more in length than in diameter. In color, the best indicators of changes during fruit development were the parameters L* and b* for peel and for flesh L* and a*. For firmness in pitaya fruits, no significant differences were found with the methodology used. Changes in ethylene production and respiration rate during storage and development showed the usual behavior of climacteric fruits. Pitaya fruits with 40 FDD presented quality characteristics similar to those accepted by the consumer for this type of fruit. It is concluded that it is possible to evaluate the different stages of development in DDF of pitaya fruit based on the changes of the color space variables L*, a* and b*, in addition to the fact that the fruit follows the classical climacteric behavior.

This research focuses on patients’ perceptions regarding the accessibility of dental services in Slovenia across four dimensions: financial accessibility, time accessibility, geographical accessibility, and service quality. We observed how specific factors impact accessibility dimensions of dental services in Slovenia, that patients perceive important. A cross-sectional quantitative survey was conducted using proportionate stratified sampling. Data was collected through an online questionnaire, and 599 completed responses were received from patients regarding their experiences and perceptions of accessibility to dental care. A SEM (structural equation model) approach was used to examine the data. The analysis revealed that patients perceive all four dimensions of accessibility: financial, time, geographical, and service quality important and they all constitute the perception of dental accessibility. The findings of this study can assist policymakers in developing a more accessible dental health system by considering the results proposed in our model.

The objective of this work was to evaluate the effect of potassium concentrations applied via fertigation on the growth, yield and chemical composition of eggplant ‘Ciça’ in a distroferric red Latosol. The treatments were composed of five concentrations of K₂O (0, 36, 72, 108 and 144 kg ha^-1 supplied via fertigation), using potassium chloride as a source, divided into six applications. The irrigation system was of the drip type and irrigation management was done via a “Class A” evaporometer tank. Harvest started at 62 days after transplanting (DAT) and lasted for five months. The variables evaluated were: plant height, number of leaves, fresh fruit mass, number of fruits per plant, yield per plant, productivity and classification of the fruits according to their length and diameter. At 85 DAT, fruit were collected for characterization as to the percentage of lipids, proteins and fibers. Although the potassium fertigation in cover provided a reduction in the production and productivity, the concentrations of 36 kg ha^-1 and 72 kg ha^-1 of K₂O applied via fertigation, increased the physical-chemical characteristics of the fruits.

The Corona epidemic, as a global crisis, and the Islamic State of Iraq and Syria) ISIS (war, as a regional crisis in Iraq, have significantly impacted the atmosphere of companies and the continuation of their activities. The present study examines the role of these crises in creating incentives for fraudulent reporting and reducing or improving audit quality. It also compares the results of these two relationships with each other. In other words, the current paper sought to answer these issues: What effect did the ISIS war and the COVID-19 pandemic have on the fraudulent reporting motives of companies, and how did it affect the quality of their audits? In the end, the answer to this question was addressed: What are the differences and similarities between the study results of the impact of COVID-19 and ISIS on fraudulent financial reporting and audit quality? For this purpose, the data of 33 companies from 2008 to 2021 (462 observations) were collected to examine six formulated hypotheses, and the hypotheses were tested using the method of structural equations and analysis of variance. Interviews with experts were also used to determine quality indicators of auditing and fraudulent financial reporting so that indigenous indicators were selected and finalized. The results showed no significant relationship between the epidemic of the COVID-19 crisis and the motives of fraudulent reporting and audit quality and between the crisis of the ISIS war and the motives of fraudulent reporting. However, the ISIS war crisis has negatively and significantly impacted audit quality. Finally, the results indicated no significant difference between the impact of the epidemic crisis of COVID-19 and ISIS on the motives of fraudulent reporting. Still, there is a significant difference in the impact of the epidemic crisis of COVID-19 and ISIS on the audit quality. The knowledge enhancement of the present study is the development of literature on the impact of the Corona and ISIS crises on corporate financial reporting and auditing. The current paper, by studying the consequences of COVID-19 and ISIS, showed that further investigations in this field, especially regarding the capital market environment and A company, can obtain essential results based on which practical suggestions can be made for possible future crises.

Despite the unpleasant conditions, such as lower and insufficient wages, higher working hours, longer length of service, total absence of casual workers union, indirect employment aided by the bank’s top directors, etc., casual workers are highly committed in performing their roles and achieving their organizational goals. Neoliberal theory and Equity theory were used for guidance in this study. The study employed qualitative analysis style; Total of ten banks were selected as a sample of the study involving sixty participants who were all casual workers; twenty-four female and the remaining thirty-six were male, have been selected using purposeful sampling. Content analysis was used as the method of data analysis. The study shows some of the functions performed by the casual workers of Nigerian banks include quick client service, amenability to work, client care services, opening of accounts, marketing, and timely task completion. Others include furnishing prompt client service, being prepared to work, and finishing assignments on schedule., thus, the study concludes that despite the outstanding performance of casual workers in achieving their organizational pretensions, they’re largely exploited. The recommendation of the study is that employment should be grounded on fair stipend, safety at work and protection for casual workers, in short, work should encompass fairness, equivalency, and freedom of association. Also, Payment of the benefit accumulated by the casual workers should be linked directly between casual workers and their associations.

This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.