Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Transitional Milk of Post-Natal Cases in Non-Anaemic Mothers and Its Comparison With Anaemic Mothers in Rural Western Uttar Pradesh

Aim: Present study is aimed at determining the analysis of transitional milk of post-natal non-anaemic mothers and its comparison with anaemic mothers in rural Uttar Pradesh. Methods: Totally, 132 post-natal cases were enrolled for the study. After taking ethical committee approval, breast milk samples were collected from day 4 to 11. We measured the following important parameters in breast milk (fat, density, carbohydrates, solid not fat [SNF], protein and added water). Data were analysed by using SPSS-24 software (IBM Corp., Armonk, NY). Tests used in our study were the analysis of variance (ANOVA) test, Chi-square test and independent T-test. Result: In our study, it was found that severe anaemia causes significant changes in fat, lactose and protein content of breast milk. We found that there are no significant changes in breast milk composition with age. Our study shows statistically no association between residence and breast milk content. Conclusion: As the severity of anaemia increases, protein and fat content in breast milk decreases, lactose content on the contrary follows a reverse relationship with maternal haemoglobin. Maternal anaemia not only affects the macronutrients in breast milk but also decreases the density of breast milk.
Chemical composition, hygiene characteristics, and coagulation aptitude of milk for Parmigiano Reggiano cheese from herds yielding different milk levels

ABSTRACT The objective with this research was to compare milk quality parameters among herds characterized by different levels of milk production. The research involved 1080 bulk milk samples collected from 30 dairy herds, which produce milk for Parmigiano Reggiano cheese, during three years. Each milk sample was analysed for fat, crude protein, titratable acidity, total bacterial count, somatic cells, coliform bacteria, and Clostridia spores. Least mean values were obtained by ANOVA using milk production intervals from 6000 to 7999 (L-group), [. ]
Gallium arsenide surface reconstructions during organometallic vapor-phase epitaxy

In situ surface x‐ray scattering studies of the GaAs(001) surface were used to determine whether specific surface reconstructions occur during organometallic vapor‐phase epitaxy. Prior to growth, we find that surfaces heated in the presence of As form a c(4×4) structure, while those heated in the absence of organometallics or in Ga form two similar fourfold reconstructions. We find no evidence for the presence of any surface reconstruction during the actual layer‐by‐layer growth process.
Analisis Pengaruh Murabahah, Mudharabah, Musyarakah, FDR, NPF dan BOPO Terhadap Kinerja Perbankan Syariah Tahun 2011-2020

This study aims to examine the effect of buying and selling financing, profit-sharing financing, FDR, NPF, and OEOI on Islamic Banking Performance as proxied by the ROA ratio. Sources of data in this study are secondary data on Islamic banking statistics taken from the Financial Services Authority website. The research data is in the form of time series data from January 2011 to August 2020. The analysis technique uses the ECM (Error Correction Model). The results showed that murabahah, mudharabah, and musyarakah financing had no effect in the short term on ROA, while in the long term only the mudharabah financing variable had a positive and significant effect on the 10% degree on ROA BUS, for murabahah and musyarakah financing variables had no effect on ROA has no effect in the long term. The NPF and BOPO variables have a short-term effect on ROA while FDR has no effect on ROA in the short term. In the long run, the variables FDR, NPF, and BOPO have an effect on ROA. Keywords: ROA, Murabahah, Mudharabah, Musyarakah, FDR, NPF, and BOPO
Effect of vehicle vibration on the mechanical and sensory properties of avocado (Persea Americana Mill. Cv. Hass) during road transportation

ABSTRACT The vibration that occurs in vehicles during road transport has an important effect on the damage experienced by agricultural products, such as fruit. Young’s modulus and Poisson’s coefficient are critical mechanical properties of fruit, and alterations may indicate damage during transportation. This work studied the effect of vibration on mechanical damage in avocados (Persea americana Mill. cv. Hass) during a road trip of over 25 km in distance between the farm to avocado packing house. Chemical and mechanical properties were evaluated during twelve postharvest days at 23°C and 65% relative humidity. Once avocadoes reached full maturity, sensory tests were performed according to Colombian Technical Standards NTC 5328 and NTC 3932. Results obtained from field data are presented as power spectral density (PSD) functions to facilitate the interpretation of the exposure of produce to vibration energy during transportation. The highest intensity of these vibrations was recorded at a frequency of 2.5 Hz for frequency intervals of 0 Hz–5 Hz at the rear of the vehicle. The chemical analysis, includingmoisture content, protein, ash and ethereal extract, showed no statistically significant differences (p > .05) between the protected fruit (PF) and unprotected fruit (UF). The mechanical damage demonstrated a statistically significant difference (p < .05) in Young’s modulus between the PF and the UF. Sensory analysis also showed that the mechanical damage caused by the vibration levels affected the integrity of lenticels by means of the external appearance and pulp color descriptors of the fruit, which contributed to the subsequent darkening of the skin and the softening of the fruit.
Using the Delphi Method to Evaluate the Appropriateness of Urban Freight Transport Solutions

Before implementing an Urban Freight Transport (UFT) solution, certainty is required about the effectiveness of the considered alternatives. Selecting an effective solution necessitates the engagement of all stakeholders involved in the management of the UFT system. The aim of the study is the formulation of a common assessment platform for facilitating the selection of the most appropriate UFT solution, taking into account the solutions’ effectiveness and the stakeholder perceptions and consensus. Solution maturity, social acceptance, and user uptake, which are considered as the main drivers of stakeholders’ engagement, are evaluated based on a real time Delphi survey, in parallel with solutions’ sustainability dimensions (economy and energy, environment, society, transport, and mobility). The Delphi method emerges as a suitable tool in this direction as stakeholders’ subjective judgments, and not analytical techniques, are required. The platform is demonstrated through the assessment of ten UFT solutions by 184 stakeholders (public authorities, supply chain operators, and other interested groups) who reside in cities across the world. The results of the demonstration showed that Intelligent Transportation Systems (ITS) for freight monitoring and electric vehicles are the highest rated solutions, while drone deliveries are the lowest, reaching respectively the highest and lowest consensus levels.
Diversifying environmental volunteers by engaging with online communities

1. Environmental volunteering can benefit participants and nature through improv ing physical and mental well-being while encouraging environmental stewardship. To enhance achievement of these outcomes, conservation organizations need to reach different groups of people to increase participation in environmental vol unteering. This paper explores what engages communities searching online for environmental volunteering. We conducted a papers to determine key factors foster ing participation by existing volunteers in environmental projects. We found that the most important factor was to tailor projects to the motivations of participants. Also important were promoting projects to people with relevant interests, meet ing the perceived benefits of volunteers and barriers to participation. We then responses revealed a relationship between project type and suitability for families. People who were interested in improv ing habitats were more interested in projects that were suitable for families than those interested in species surveys ( χ 2 (2) = 6.19, p = 0.045). The significance of the associations between the type of projects and social interaction, requirement of skills and physi cal activity all increased with aggregation. Organized transport remained unaffected by the type of project selected. Responses which selected only one project type produced the same pattern as the aggregated responses.
Canine megaesophagus secondary to acetylcholinesterase inhibitors (chumbinho) intoxication: an unusual presentation

Megaesophagus is a disease characterized by generalized esophageal dilatation, resulting from reduced or absent esophageal motility. It can be congenital or acquired and some common causes are persistent right aortic arch and myasthenia gravis. It can also be secondary to a variety of diseases, including intoxications. Although organophosphate poisoning is cited as a possible cause of megaesophagus, literature reports in dogs are rarely described. Such condition should have its importance emphasized, since poisoning by pesticides are relatively common in domestic animals and humans, whether accidently or intentionally. This study aimed to report the case of a dog which survived an episode of intentional pesticide poisoning and developed megaesophagus afterwards. The dog presented clinical signs of regurgitation around two weeks after surviving an intoxication episode. The diagnosis was based on clinical features and contrasted radiographic imaging (esophagography) using barium sulfate, which confirmed the diagnosis. Since no megaesophagus-related clinical signs were present before the intoxication episode, its relation to organic-phosphorus induced delayed neuropathy (OPIDN) was presumed. Unfortunately, the owner delayed seeking veterinary assistance and the dog’s condition deteriorated, despite therapeutic efforts, leading to death. Necropsy was not authorized. This case highlights the importance of monitoring canine patients which survived an intoxication episode and also draws attention to the illegal use of organophosphate compounds in Brazil and its impact in humans, domestic animals and wildlife.
A Hybrid BEM-CFD Virtual Blade Model to Predict Interactions between Tidal Stream Turbines under Wave Conditions

Tidal turbine array optimization is crucial for the further development of the marine sector. It has already been observed that tidal turbines within an array can be heavily affected by excessive aerodynamic interference, thus leading to performance deterioration. Small-scale experimental tests aimed at understanding the physical mechanisms of interaction and identifying optimal distances between machines can be found in the literature. However, often, the relatively narrow channels of laboratories imply high blockage ratios, which could affect the results, making them unreliable if extrapolated to full-scale cases. The main aim of this numerical study was to analyze the effects of the blockage caused by the laboratory channel walls in cases of current and also current surface waves. For this purpose, the performance predictions achieved for two turbines arranged in line for different lateral offsets in case of a typical laboratory scale were compared to the predictions obtained for a full scale, unconfined environment. The methodology consisted in the adoption a hybrid Blade Element Momentum–Computational Fluid Dynamics (BEM-CFD) approach, which was based on the Virtual Blade Model of ANSYS-Fluent. The results indicate that (1) the performance of a downstream turbine can increase up to 5% when this has a lateral separation of 1.5D from an upstream device in a full-scale environment compared to a misleading 15% calculated for the laboratory set-up, and (2) the relative fluctuations of power and thrust generated by waves are not significantly affected by the domain dimensions.
Primary School Teachers´Resilience: Association with Teacher Self-Efficacy, Burnout and Stress

Introduction. International literature indicates that self-efficacy and resilience are interrelated and they both predict teachers’ burnout and stress. In order to better understand their intertwining relationship, the present study was conducted to test the hypothesis that resilience mediates the effect of efficacy beliefs to burnout and stress. Method. psychometric properties. Results. The results partially confirmed our hypothesis showing that three of the resilience subscales, Social-Professional Resilience, Adaptability and Motivational Resilience, partially mediated the relationship of self-efficacy with burnout and stress. Out of the four resilience subscales, Emotional Resilience was found to fully mediate in the above relationship and had the strongest predictive power over burnout and stress. Discussion and Conclusion. The findings are discussed in light of recent evidence in the field and their implications for practice and future research are pointed out.
The demersal fish assemblages of the infra and circalittoral coastal rocky bottoms of the Aeolian Archipelago (Central Mediterranean Sea) studied by Remotely Operated Vehicle (ROV)

Demersal fish assemblages on the rocky bottoms of the Aeolian Archipelago were investigated using a Remotely Operated Vehicle (ROV) within the framework of research activities aimed at drawing up the zoning proposal of a new Italian national marine protected area. Visual assessments were conducted around the seven main islands by means of a total of 36 ROV transects. Video material was divided into 3 parts belonging to 3 Archipelago sectors (Western, Central and Eastern) and into 3 depth ranges (20-50, 51-120, 121-190). Thirty taxa of teleosts (29 species and 1 genus) belonging to 16 families were recorded. The assemblages were numerically dominated by some schooling fishes, such as Anthias anthias , Callanthias ruber and Chromis chromis , which exhibited a depth related partitioning of space, and three non-gregarious species, i.e. Serranus cabrilla , Coris julis and Lappanella fasciata . In terms of species composition, the assemblages observed in the sectors of the Archipelago largely overlapped. No significant sector-related differences were detected in fish species richness, diversity and total density. Species composition and the investigated assemblage parameters were significantly affected by depth. The pattern of variation in species richness among depth ranges changed depending on the archipelago sectors. No significant interaction between the factors depth range and sector was observed for species diversity and total density. Diversity values at 20-50 and 121-190 m depth were similar and significantly higher than that at 51-120 m depth. Fish total density showed a clear decreasing trend with increasing depth, though significant differences were detected between the 20-50 and 51-120 depth layers and the deepest one. Overall, the demersal fish assemblage of the Aeolian Archipelago was poorly diversified and depleted, most likely due to overfishing. This information highlighted the importance of the adoption of specific measures aimed at the recovery of overexploited resources and the restoration of the whole marine ecosystems.
Workaholism in IT: An Analysis of the Influence Factors

The purpose of this article is to make an exhaustive analysis of the influencing factors for the phenomenon of workaholism in IT. In contemporary economies, workaholism is an increasingly common phenomenon. Companies should evaluate the impact on workers of this trend, and note that knowledge of the factors influencing the decision to overwork can be a competitive advantage when implementing human resources policies. Our approach involved the use of multivariate analysis of variance combined with multiple linear regression analysis. The article analyzes the data from 178 respondents who are employed in the IT sector in Romania, taking into account seven potential factors of influence. The data and econometric analyses were processed in IBM SPSS Software. The results of the multivariate analysis of variance combined with multiple linear regression analysis show a significant relationship between workaholism and influencing factors such as the remunerative component of work, the intrinsic pleasure of working, the sense of responsibility towards family, and the desire to develop during a professional career. In this study, socio-demographic influences were found to have a weak influence on the decision to work excessively.
The Effect of Schoology Usage to the Students' Cognitive Performance

Technology has been growing explosively and give positive impact to the educational system. Universities are starting to apply such the online platform or blended learning to enhance their teaching quality. Yet, the teaching media used in STKIP Muhammadiyah Enrekang is still in conventional model. Thus in order to update the teaching media in this institutuion, this present study investigated the use of schoology as online platform in enhancing the students’ cognitive performance. The participants is the fourth semester students of English education program in academic year 2019/2020. The content is limited to the translation subject. The method is quantitative research design. The data was collected through essay test of translation and anlayzed using SPSS 25. The result shows that the tcounted is higher than ttable (6,926 > 1,833). Thus, it confirms that the use of schoology can enhance the students’ cognitive performance especially on the translation task.
A NEW FORMULA TO QUANTIFY THE NATIONAL ENERGY SECURITY OF THE WORLD’S TOP TEN MOST POPULOUS NATIONS

Quantification of global sustainable energy security (ES) becomes urgent, but the concepts of ES are still not clear. Thus, this paper is originated from philosophical ES studies, in which the various concepts came from the differences in determining the observed multi-matters (energy, equipment, human, and ecosystem: EPME) and point of view to see the EPME. Therefore, this research is aimed at measuring the EPME variables, producing ES material quantities (Q es ). Q es is derived after a 4-stage unification and is defined in a formula. The formula is then applied to calculate the top ten populous nations in the world from 1990 to 2015. Based on the top Q es values, the rankings are Russia (Fed.), USA, Japan, Brazil, China, Indonesia, India, Nigeria, Pakistan, and Bangladesh. The results also highlighted the Q es disparities between nations. A relationship between Q es and National Power Indicator (NPI) was also explored, indicating the ES saturation in the USA and Japan; and the macro energy-policy instability phenomenon in Nigeria. In addition, a comparison of Q es ranking to those of other scholars’ results was presented. Finally, the macro sustainable energy policy implication is also highlighted.
Google Trends as a Predictor of Presidential Elections: The United States Versus Canada

The media and election campaign managers conduct several polls in the days leading up to the presidential elections. These preelection polls have a different predictive capacity, despite the fact that under a Big Data approach, sources that indicate voting intention can be found. In this article, we propose a free method to anticipate the winner of the presidential election based on this approach. To demonstrate the predictive capacity of this method, we conducted the study for two countries: the United States of America and Canada. To this end, we analysed which candidate had the most Google searches in the months leading up to the polling day. In this article, we have taken into account the past four elections in the United States and the past five in Canada, since Google first published its search statistics in 2004. The results show that this method has predicted the real winner in all the elections held since 2004 and highlights that it is necessary to monitor the next elections for the presidency of the United States in November 2020 and to have more accurate information on the future results.
Seasonal and spatial patterns of mammalian road kill in northeastern Cordoba Province, Argentina

ABSTRACT Wildlife–vehicle collisions are a serious conservation issue. In Argentina, wildlife road kill represents a threat to numerous species, especially around protected areas. With the aim of analyzing a possible seasonal and spatial patterns of mammalian death due to road kill, I sampled 97 km of the RP No. 17 in the south of multiple-use natural protected area ‘Bañados del Río Dulce y Laguna Mar Chiquita’ in Cordoba Province, Argentina. I analyzed the frequencies and density of road kill in winter 2015, spring 2015, and summer 2015/2016. The Kilometric Index of Abundance was used to identify the road stretches with elevated road kill. I recorded a total of 190 individuals representing 13 species. Of the mammalian species that inhabit the study area, more than 80% were affected by vehicle collisions. Three critical road stretches were identified. Mammalian mortality suggests a reduction of 42.36% between winter and spring. Lycalopex gymnocercus was the species with a statistically significant reduction (Mann–Whitney U, p = <0.03) in its road kill. Seasonal differences in mammalian mortality were likely due to seasonally variable behavior, abundances, and reproductive activity. This study provides to wildlife managers an opportunity to direct mitigation measures to reduce mammalian road kill.
Comparison between photoplethysmographic heart rate monitor from Polar Vantage M and Polar V800 with H10 chest strap while running on a treadmill: Validation of the Polar Precision PrimeTM photoplestimographic system

Chest bands have been the most used device to monitor heart rate during running. However, some runners feel uncomfortable with the use of bands due to the friction and pressure exerted on the chest. Thus, the aim of this study was to determine if the photoplethysmography (PPG) system Polar Precision Prime used in the Polar Vantage M watch could replace chest bands (Polar V800-H10) to monitor heart rate with the same precision. A group of 37 people, middle-distance and long-distance professional runners, participated in this study. The submaximal speed was determined using 50% of the participants’ maximum speed in the height of their season. The Polar Vantage M reported high correlation (r > 0.84) and high ICC (ICC > 0.86) when comparing its heart rate monitor with the Polar V800 synchronised with H10 chest strap during recording intervals of more than 2 min. The systematic bias and random error were very small (<1 bpm), especially for the 600 s recording interval (0.26 ± 5.10 bpm). Nevertheless, the error increased for 10 s (−5.13 ± 9.20 bpm), 20 s (−8.65 ± 12.60 bpm) and 30 s (−10.71 ± 14.99 bpm) time intervals. In conclusion, the PPG Polar Precision Prime included in the Polar Vantage M demonstrates that it could be a valid alternative to chest bands for monitoring heart rate while running, taking into account some usage considerations, good strap adjustment and an initial calibration time during the first 2–3 min.