Miracle-dz/UniFAR-FTUs huggingface dataset:
Powdery Mildew Caused by Erysiphe cruciferarum on Wild Rocket (Diplotaxis tenuifolia): Hyperspectral Imaging and Machine Learning Modeling for Non-Destructive Disease Detection

Wild rocket is a widely cultivated salad crop. Typical signs and symptoms of powdery mildew were observed on leaves of Diplotaxis tenuifolia, likely favored by climatic conditions occurring in a greenhouse. Based on morphological features and molecular analysis, the disease agent was identified as the fungal pathogen Erysiphe cruciferarum. To the best of our knowledge, this is the first report of E. cruciferarum on D. tenuifolia. Moreover, the present study provides a non-destructive high performing digital approach to efficiently detect the disease. Hyperspectral image analysis allowed to characterize the spectral response of wild rocket affected by powdery mildew and the adopted machine-learning approach (a trained Random Forest model with the four most contributory wavelengths falling in the range 403–446 nm) proved to be able to accurately discriminate between healthy and diseased wild rocket leaves. Shifts in the irradiance absorption by chlorophyll a of diseased leaves in the spectrum blue range seems to be at the base of the hyperspectral imaging detection of wild rocket powdery mildew.
Relationships between teacher practices in secondary education and first-year students’ adjustment and academic achievement

To ease the transition to university, preparation in secondary school is often seen as a first step. This study investigated longitudinal relationships between teacher practices in secondary education (i.e., emotional support, autonomy support, and student-centred teacher practices) and first-year students’ academic achievement and social and emotional adjustment at university. We focused on students’ perceptions of their teachers’ practices to, on the one hand, take individual differences into account and, on the other hand, to investigate differences in teacher practices between schools. In a three-wave longitudinal study, 235 students were followed from their final year of secondary school to the end of the first year at university. The results indicated that teacher practices related to students’ social and emotional adjustment across the transition to university, but not to their academic achievement. Specifically, we found that perceived teachers’ emotional support was related to students’ social adjustment at university whereas autonomy support was associated with emotional adjustment. Differences in teacher practices between schools were quite small. This study indicated that teachers in secondary education might play a pivotal role in preparing students for university. This role goes beyond preparing students for academic achievement, as teachers may have a long-term impact on first-year students’ social and emotional adjustment.
Nutritional and Sensory Quality of Wheat Bread Supplemented with Stabilized Rice Bran

This project was designed to evaluate the suitability of stabilized rice bran for the supplementation of bread. Freshly milled rice bran was treated with autoclave heating for its stabilization. The effect of stabilized rice bran supplementation on nutritional and sensory properties of wheat bread was determined. Blends of wheat flour and rice bran (95:5, 90:10, 85:15 and 80:20) were used to bake bread with 100 per cent wheat flour as control. Thereafter, proximate, mineral composition and sensory properties of the bread loaves were determined, using standard methods of analysis. The moisture content, crude protein, crude fat, crude fibre and ash of the composite bread loaves increased significantly (p < 0.05) from 31.12 per cent to 33.98 per cent, 11.87 per cent to 13.38 per cent, 1.52 per cent to 3.95 per cent, 0.82 per cent to 2.65 per cent and 1.52 per cent to 2.09 per cent, respectively; while carbohydrate content decreased with increased level of supplementation from 53.13 per cent to 43.92 per cent. Mineral content of the bread increased significantly (p < 0.05) with increased level of supplementation from 6.44 mg/100g to 15.61 mg/100g (Iron), 80.64 mg/100g to 221.22 mg/100g (Potassium), 84.47 mg/100g to 153.41 mg/100g (Calcium), 13.67 mg/100g to 161.86 mg/100g (Magnesium) and 2.24 mg/ 100gm to 4.13 mg/100g (Zinc). However, there was a significant decrease (p < 0.05) in sodium with increased level of supplementation from 304.31 mg/100g to 227.24 mg/100g. The control sample of bread was acceptable similar to 15 per cent rice bran supplemented bread. The bread supplemented with stabilized rice bran at 20 per cent got the lowest sensory score than other composite and control bread. But, all the composite bread samples had significantly (p< 0.05) higher values for nutritional parameters. It can be concluded from the results that upto 15 per cent stabilized rice bran can be successfully incorporated in the bread to improve the sensory and nutritional attributes.
Perception of University Students Towards National Efforts at Controlling COVID-19 Pandemics, the Practice of Prevention Measures and its Associated Factors During School Reopening

Background The Coronavirus disease 2019 (COVID-19) pandemic has affected many communities including students. Even if restrictions are being lifted in some countries, i.e., Ethiopia, COVID-19 is not gone yet. Adjusting to the “new normal”, an emerging prevention response to the virus, can greatly recover public health and education. Thus, this study aimed to assess students' perception of national efforts at controlling the COVID-19 pandemic, including approaches to prevention measures, and associated factors during campus re-entry. Methods and Materials We conducted a cross-sectional study among 682 Debre Berhan University (DBU) students from December 1 to 15, 2020, when students had just gone back to school. The data was entered into Epi-Data version 4.6 and exported to SPSS version 25.0 statistical software for analysis. The perception and practice of the participants were assessed using a scoring system. Binary logistic regression was run to identify the significant (p ≤ 0.05) predictors of COVID-19 prevention practice. Result The overall high perception and good practice of prevention behaviors were 32%, 95% CI (28.8–35.2), and 37.5%, 95% CI (33.7–41.2), respectively. Being female [AOR (CI) = 1.67 (1.17–2.37)], have a rural residence [AOR (CI) = 1.56 (1.07–2.29)], fathers' education [AOR (CI) = 1.94 (1.06–3.56)], having respiratory disease [AOR (CI) = 2.81 (1.32–5.95)], and information sources from YouTube [AOR (CI) = 1.87 (1.19–2.91)] were significant factors for COVID-19 prevention practice. Besides, a high perception of national efforts at controlling COVID-19 [AOR (CI) = 2.94 (2.04–4.25)] was positively associated with the practice of prevention measures. Conclusion During school reopening, most students had a low perception of national efforts at controlling COVID-19 and poor prevention practices. Socio-demographics, having a chronic illness, information sources, and perception of national efforts were factors of COVID-19 prevention practice. Thus, raising the perception of the national efforts, promoting precautionary measures, managing chronic illnesses, and disseminating information through YouTube are critical to preventing and controlling COVID-19 during campus re-entry.
The relationship among disaster prevention literacy, psychological empowerment and safety performance in the hotel industry

ABSTRACT This study attempts to examine the relationship among hotel employees’ disaster prevention literacy, psychological empowerment, and safety performance. A questionnaire survey for assessing these constructs was developed based on three rounds of Delphi method between fifteen experts. The survey results, which were based on a sample of 310 hotel employees, demonstrate that respondents with higher levels of disaster prevention literacy exhibited relatively higher safety performances and psychological empowerment. The results further show that psychological empowerment partially mediated the relationship between disaster prevention literacy and safety performance, indicating that hotel employees are prompted by psychological empowerment to achieve the standards of safety performance required by guests or the hotel management.
Pattern of population coverage of a social health insurance scheme in a Southwest Nigeria State: A 3-year post implementation evaluation

Aims: Social health insurance scheme is capable of minimizing inequity of access to health services, and thereby enhance an improvement in population health outcomes. Recently the National Health Insurance Scheme (NHIS) of Nigeria decentralized its management to the sub-national levels, thus the emergence of State Health Insurance Schemes (SHIS). The SHIS of Oyo State Nigeria started operations about three years ago (June 2017). There is limited/sparse evidence on the performance of the scheme since its inception. Therefore, the aim of this study was to assess the scheme’s level of population coverage in the first three years of implementation. The findings will also provide an evidence base to inform the repositioning of the scheme for improved performance and enable it achieve the purpose of its establishment. Methods: Service data from the server of Oyo SHIS were downloaded, collated and analyzed with excel software. Data extraction, cleaning and analysis covered a period of three months (September – October, 2020). Descriptive statistics were used to summarise the data. Population coverage distributions were expressed as frequency and percentages. Frequency tables and graphs were generated to disaggregate the findings. Conclusion: Stakeholders in the Oyo State SHIS need to re-strategize to reposition the scheme for an accelerated population coverage as a proxy for performance assessment. Acknowledgements: Authors wish to acknowledge Oyo State Health Insurance Agency for the permission to make use of the data and to submit the manuscript for publication. We authors would like to sincerely acknowledge the contributions of Prof. Charles Wiysonge and that of Dr. Chukwudi Nnaji for the comprehensive review and suggestions made on this manuscript. Many thanks. Authors' contributions: David Adewole conceived and designed the study. Wuraola Ladepo and Temitope Ilori did data collection and analysis. Adewole, Owolabi and Akande contributed equally to the manuscript write up. All authors read through the manuscript draft the second time. All authors agreed to the final manuscript. Conflict of interests: None declared.
A study to assess the socio-demographic factor and knowledge, attitude, and practice of family planning methods in Lohpeeta migrants tribe located in Shivpuri central India

Background: Even though India was the first country in the whole world to introduce the national family planning policy, the acceptance rate of contraceptive methods has been unsatisfactory to date. Many women in their fertility period, who were ready to control their fertility and limit the number of unwanted children, were not aware of different methods of contraceptives available and their proper use and other benefits. Aim and Objective: 1. To assess the socio-demographic status of the study participants. 2. To assess the knowledge, attitude, and practice of contraceptive methods in Lohpeeta mobile tribe located in Shivpuri, central India. Methods: The present study was an observational cross-sectional survey conducted from 1st December 2019 to 28th February 2020 in Lohpeeta mobile tribe located in Shivpuri local; nonrandom convenience sampling method was used after applying the inclusion and exclusion criteria, so the total sample size was 209. Data were collected by a principal investigator with a predesigned, pretested, questionnaire by conducting face-to-face interview with the participants. Firstly, the data was administered in an excel sheet then it was analyzed and presented in the form of percentage, and a Chi-square test was applied to assess the level of significance. Result: The most common age group of participants was 18–30 year (37.3%) and most were married (97.6%); we found that the knowledge and attitude toward contraceptives of participants was very poor, most 185 (88.5%) of the participants had never used any contraceptive method and only a few participants were using it occasionally, and none of the participants were using any contraceptive methods regularly. Conclusion: The knowledge, attitude, and compliance towards contraceptives were poor in this group, we need to focus on this type of migrant population to increase their awareness and change their attitude towards contraceptives, so that they can use it without any fear.
Comparison of Wavefront-Guided Femtosecond LASIK and Optimized SMILE for Correction of Moderate-to-High Astigmatism.

PURPOSE To compare refractive outcomes, higher order aberrations (HOAs), and the changes in contrast sensitivity after wavefront-guided femtosecond laser-assisted in situ keratomileusis (WFG LASIK) and optimized small incision lenticule extraction (SMILE) for moderate-to-high astigmatism correction. METHODS This prospective, randomized study included 87 eyes: 40 eyes in the WFG LASIK group and 47 eyes in the SMILE group. Manual cyclotorsion compensation by marking the horizontal axis before SMILE surgery was used for optimized SMILE. Refractive diopter, aberrations, and contrast sensitivity were assessed 3 months postoperatively. The Alpins vector analysis method was used to analyze the astigmatic changes after surgery. RESULTS There were no significant differences in the corrected distance visual acuity and refraction between the two groups after surgery. The fitted curve of surgically induced astigmatism versus target induced astigmatism was described as y = 0.9905 x + 0.0009 in the WFG LASIK group and y = 0.9672 x + 0.0026 in the SMILE group. The percentage of corneal astigmatism axis change within 5 degrees was statistically significant (chi-square test: 10.632, P = .001). HOAs increased in both the WFG LASIK and SMILE groups after surgery (t = -3.655, P = .001, t = -3.784, P = .001, respectively). However, comparison of the changes of HOAs between both groups was not significant (t = -0.565, P = .575). The improvement in contrast sensitivity in the WFG LASIK group was significantly higher than that in the SMILE group. CONCLUSIONS WFG LASIK and optimized SMILE can achieve similar outcomes for astigmatism correction. Optimized SMILE with marking could achieve good astigmatism correction, even without an eye tracking system. [J Refract Surg. 2021;37(3):166-173. ].
An Immunohistochemical Study of Estrogen and Progesterone Receptors in Endometrium of Women with Dysfunctional Uterine Bleeding

Abnormal Uterine Bleeding (AUB) is a common complaint that affects large numbers of women from puberty to menopause. It negatively affects health and quality of life of women affected. AUB also has an economic impact for both women and society Abnormal uterine bleeding in premenopausal women is one of the most frequent problems in gynecological practice. Although some of the cases may be due to an organic cause, over 50% of the patients undergoing hysterectomy for menorrhagia have dysfunctional uterine bleeding (DUB). To analyze the percentage and intensity of estrogen receptors (ER) and progesterone receptors (PR) in endometrium of patients with DUB. This study suggests that estrogen and progesterone receptors have an important role in etiopathogenesis of dysfunctional uterine bleeding and alteration in the morphology of endometrium such as development of endometrial hyperplasia. Women in the reproductive age who are complaining of abnormal uterine bleeding, usually have an increase in ER alpha and PR expression in their endometrium. Original Research Article Kavitha and Thanka; JPRI, 33(23A): 55-65, 2021; Article no.JPRI. 66776 56
The WGLC global gridded lightning climatology and timeseries

Abstract. Lightning is one of the most important atmospheric phenomena and has wide ranging influence on the Earth System, but few long-term observational datasets of lightning occurrence and distribution are currently freely available. Here we analyze global lightning activity over the second decade of the 21st century using a new global, high-resolution gridded timeseries and climatology of lightning stroke density based on raw data from the World-Wide Lightning Location Network (WWLLN). While the total number of strokes detected increases from 2010–2014, an adjustment for detection efficiency reduces this artificial trend. The global distribution of lightning shows the well-known pattern of greatest density over the three tropical terrestrial regions of the Americas, Africa, and the Maritime Continent, but we also noticed substantial temporal variability over the 11 years of record, with more lightning in the tropics from 2012–2015 and increasing lightning in the mid-latitudes of the Northern Hemisphere from 2016–2020. Although the total number of strokes detected globally was constant, mean stroke power decreases significantly from a peak in 2013 to the lowest levels on record in 2020. Evaluation with independent observational networks shows that while the WWLLN does not capture peak seasonal lightning densities, it does represent the majority of powerful lightning strokes. The resulting gridded lightning dataset (Kaplan and Lau, 2019, https://doi.org/10.1594/PANGAEA.904253) is freely available and will be useful for a range of studies in climate, earth system, and natural hazards research, including direct use as input data to models and as evaluation data for independent simulations of lightning occurrence.
MTDDI: a graph convolutional network framework for predicting Multi-Type Drug-Drug Interactions

Although the polypharmacy has both higher therapeutic efficacy and less drug resistance in combating complex diseases, drug-drug interactions (DDIs) may trigger unexpected pharmacological effects, such as side effects, adverse reactions, or even serious toxicity. Thus, it is crucial to identify DDIs and explore its underlying mechanism (e.g., DDIs types) for polypharmacy safety. However, the detection of DDIs in assays is still time-consuming and costly, due to the need of experimental search over a large drug combinational space. Machine learning methods have been proved as a promising and efficient method for preliminary DDI screening. Most shallow learning-based predictive methods focus on whether a drug interacts with another or not. Although deep learning (DL)-based predictive methods address a more realistic screening task for identifying the DDI types, they only predict the DDI types of known DDI, ignoring the structural relationship between DDI entries, and they also cannot reveal the knowledge about the dependence between DDI types. Thus, here we proposed a novel end-to-end deep learning-based predictive method (called MTDDI) to predict DDIs as well as its types, exploring the underlying mechanism of DDIs. MTDDI designs an encoder derived from enhanced deep relational graph convolutional networks to capture the structural relationship between multi-type DDI entries, and adopts the tensor-like decoder to uniformly model both single-fold interactions and multi-fold interactions to reflect the relation between DDI types. The results show that our MTDDI is superior to other state-of-the-art deep learning-based methods. For predicting the multi-type DDIs with unknown DDIs in case of both single-fold DDIs and multi-fold DDIs, we validated the effectiveness and the practical capability of our MTDDI. More importantly, MTDDI can reveal the dependency between DDI types. These crucial observations are beneficial to uncover the mechanism and regularity of DDIs.
Critical point on housing construction, resilience and family subjective welfare after disaster: Notes from the Lombok, Indonesia, earthquake sequence of July-August 2018

Abstract Families in earthquake-prone areas are vulnerable, the earthquake affecting their quality of life. Earthquakes also disrupt the distribution of welfare, even the fulfillment of basic family needs. In this study, we analyze the critical points of earthquake relief for housing construction assistance following earthquake sequence in Lombok, Indonesia, including the changes and the influence of resilience, i.e., economic, social, and psychological, towards the subjective well-being of the family following the Lombok earthquake sequence of July-August 2018. Using primary data collection in Lombok through a family survey questionnaire at 6 months after the earthquake, we found that there was a sharp increase in poverty and a sharp decrease of income in the first month after the disaster, which returned gradually through to the sixth month. The same pattern occurs in family resilience in terms of economic, social, and psychological aspects. We also found that changes in family security, i.e., economic, social and psychological, have a negative effect on their subjective well-being. This study highlights three critical points in rebuilding disaster victims' houses following Mw 6.4-6.9 Lombok earthquake sequence of July–August 2018. First, the decision regarding the absence of temporary shelter. Second, the statement that housing assistance funds may be used for small family businesses. Third, the validity of the damaged housing data and the choice of house type.
Start-up Strategies for Anaerobic Ammonia Oxidation (Anammox) in In-Situ Nitrogen Removal from Polluted Groundwater in Rare Earth Mining Areas

The tremendous input of ammonium and rare earth element (REE) ions released by the enormous consumption of (NH4)2SO4 in in situ leaching for ion-adsorption RE mining caused serious ground and surface water contamination. Anaerobic ammonium oxidation (anammox) was a sustainable in situ technology that can reduce this nitrogen pollution. In this research, in situ, semi in situ, and ex situ method of inoculation that included low-concentration (0.02 mg·L−1) and high-concentration (0.10 mg·L−1) lanthanum (La)(III) were adopted to explore effective start-up strategies for starting up anammox reactors seeded with activated sludge and anammox sludge. The reactors were refrigerated for 30 days at 4 °C to investigate the effects of La(III) during a period of low-temperature. The results showed that the in situ and semi in situ enrichment strategies with the addition of La(III) at a low-concentration La(III) addition (0.02 mg·L−1) reduced the length of time required to reactivate the sludge until it reached a state of stable anammox activity and high nitrogen removal efficiency by 60–71 days. The addition of La(III) promoted the formation of sludge floc with a compact structure that enabled it to resist the adverse effects of low temperature and so to maintain a high abundance of AnAOB and microbacterial community diversity of sludge during refrigeration period. The addition of La(III) at a high concentration caused the cellular percentage of AnAOB to decrease from 54.60 ± 6.19% to 17.35 ± 6.69% during the enrichment and reduced nitrogen removal efficiency to an unrecoverable level to post-refrigeration.