Miracle-dz/UniFAR-FTUs huggingface dataset:
The highly incident causes of accidental poisoning in camels and sheep in Saudi Arabia and their economic impact

Objective: This study aimed to adequately investigate the most frequent causes of poisoning in camels and sheep in the Kingdom of Saudi Arabia (KSA). Methods: Appropriate data were carefully collected from the recorded animal poisoning cases in the Veterinary Health and Monitoring Department, Ministry of Environment, Water and Agriculture (MEWA), during the period (from 2018 to 2019). All recorded cases were accurately diagnosed with a case history and reported clinical signs as well as definitive confirmation by laboratory analysis of the collected samples. Results: From the recorded data of 852 camel and sheep poisoned cases, the results showed that the primary causes of animal poisoning in Saudi Arabia were Cyanogenic glycosides (42.25%), Pesticides (26.76%), Mycotoxins (18.8%), and Drugs (12.2%). These cases were recorded only in 5 geographical regions (Riyadh, Qassim, Makkah, Northern borders, and Eastern province) Conclusion: Accidental toxicity in camel and sheep in KSA was mainly caused by Cyanogenic glycosides, Pesticides, Mycotoxins, and Drug toxicity. The frequent reasons for possible toxicity should be minimized through active veterinary extension.
The Impact of Social Security Eligibility on Transfers to Elderly Parents and Wealth -building among Adult Children

In this study, I explore the impact of social security eligibility on transfers between adult children and elderly parents and the resulting impact on wealth-building among adult children. I also describe these relationships across different racial and socioeconomic groups. I use data from the PSID and a regression discontinuity approach where I describe the outcomes before and at the parents’ social security eligibility age. The main findings show that almost all groups reduce transfers at the threshold age, but the reduction in the probability that a parent receives transfers is stronger for economically disadvantaged groups. I also find that wealth of adult children increases at the threshold age and this increase is strongest for children of low-income parents. These findings support the hypothesis that by reducing the reliance of parents on their adult children Social Security may contribute to wealth-building among the adult children generation.
University of Birmingham Variation in the spatial distribution of erector spinae activity during a lumbar endurance task in people with low back pain

27 This study aimed to investigate the spatial distribution and redistribution of lumbar erector 28 spinae (ES) activity during a lumbar extension endurance task in pain-free participants and 29 how this is modified in people with low back pain (LBP). High density surface 30 electromyography (HDEMG) was recorded using 13x5 electrode grids placed over the 31 lumbar ES in 13 LBP and 13 control participants while completing an Ito test to task failure. 32 The root mean square of the HDEMG signals was computed, a topographical map of the 33 EMG amplitude generated and the centre of the activity (centroid) determined throughout the 34 task. The centroid of the EMG amplitude map was systematically more cranial (F = 6.09, P = 35 0.022) for the LBP participants compared to the control subjects. Regression analysis showed 36 that the extent of redistribution of ES activity was associated with longer endurance. These 37 results show that LBP participants utilised a different motor strategy to perform the 38 endurance task, characterised by greater activation of more cranial regions of the ES and less 39 redistribution of ES activity throughout the task. This study provides new insight into the 40 functional activation of the lumbar ES and how it is modified when people have pain. 41
INTERTEMPORAL ASSET PRICING: EVIDENCE FROM GREECE SUBMITTED BY: KARAOGLANIDOU OLGA SUPERVISOR: Dr. KOUSENIDES DEMETRIOS Thesis submitted to the University of Greenwich in part fulfillment of the requirements of the degree of Master in Finance and Financial Information Systems

This paper applies an Intertemporal Capital Asset Pricing Model (ICAPM) to describe the cross-section of stock returns in the Greek Stock Market. The critical importance of firm characteristics like size, book-to-market equity and momentum in explaining average returns on common stocks, as it has been demonstrated in many previous works was the motive for using them in the model and explain the cross-sectional relationship between average stock returns and risk in the Athens Stock Exchange (ASE). This research proposes to examine the joint roles of market beta, size, book-to-market ratio and momentum in the cross-section of average returns on ASE stocks for the period from January 1997 to December 2005. The tests are applied on portfolios formed from ASE stocks during this period based on a methodology similar to that of Fama and French (1996) and of Carhart (1997). The results give evidence that in the Greek Stock Market there is a strong-sectional relation between average returns and beta. It is also proved a reliable momentum effect but a weak relation between B/M ratio and average returns. The findings of this dissertation are consistent with the results of Carhart and do support the most basic prediction of the CAPM that average stock returns are positively related to market β’s. However, for the period examined it was not discovered a size effect similar to that found in tests of Fama and French (1993).
A Multi-label Classification System to Distinguish among Fake, Satirical, Objective and Legitimate News in Brazilian Portuguese

Currently, there has been a significant increase in the diffusion of fake news worldwide, especially the political class, where the possible misinformation that can be propagated, appearing at the elections debates around the world. However, news with a recreational purpose, such as satirical news, is often confused with objective fake news. In this work, we decided to address the differences between objectivity and legitimacy of news documents, where each article is treated as belonging to two conceptual classes: objective/satirical and legitimate/fake. Therefore, we propose a DSS (Decision Support System) based on a Text Mining (TM) pipeline with a set of novel textual features using multi-label methods for classifying news articles on these two domains. For this, a set of multi-label methods was evaluated with a combination of different base classifiers and then compared with a multi-class approach. Also, a set of real-life news data was collected from several Brazilian news portals for these experiments. Results obtained reported our DSS as adequate (0.80 f1-score) when addressing the scenario of misleading news, challenging the multi-label perspective, where the multi-class methods (0.01 f1-score) overcome by the proposed method. Moreover, it was analyzed how each stylometric features group used in the experiments influences the result aiming to discover if a particular group is more relevant than others. As a result, it was noted that the complexity group of features could be more relevant than others.
Relationship of Servant Leadership and Organizational Citizenship Behavior with Mediation of Psychological Empowerment

Purpose: The purpose was to investigate the relationship between servant leadership and teachers' organizational citizenship behavior with mediating role of psychological empowerment. Research Methods: This study was an applied and correlation research method based on structural equation modeling. 281 teachers of Zahedan city were studied by stratified random sampling method. To collect information, three questionnaires were used: servant leadership (Gholipur et al., 2009), organizational citizenship behavior (Podsakoff & MacKenzie, 1990) and psychological empowerment (Spreitzer, 1995). For data analysis the Pearson correlation coefficient and structural equation modeling were used. Findings: The amount of correlation coefficient of servant leadership with psychological empowerment (r=0.616, p<0.01), servant leadership with organizational citizenship behavior (r=0.667, p<0.01), and psychological empowerment with organizational citizenship behavior (r=0.724, p<0.01) was significant. The direct effect of servant leadership on organizational citizenship behavior (β=0.27, t=3.96), direct effect of servant leadership on psychological empowerment (β=0.71, t=9.72), and direct effect of psychological empowerment on organizational citizenship behavior (β=0.67, t=8.03) was significant. The indirect effect of servant leadership on organizational citizenship behavior was also significant with the mediator role of psychological empowerment (β=0.475). Implications for Research and Practice: Therefore, it can be concluded that servant leadership has a positive and significant relationship, directly and indirectly, through the psychological empowerment mediation variable with the organizational citizenship behavior.
International Journal of Traditional and Natural Medicines

Physalis peruviana L has been reported in traditional medicine for the treatment of bacterial, fungal, viral, protozoal diseases, as well as possessing immunomodulatory properties. The aim of this study was to assess the antibacterial and antifungal properties of various parts of methanolic P. peruviana extracts against 6 bacterial species and 2 fungal isolates. Antibacterial and antifungal activity of methanolic P. peruviana leaves, stem, fruit and root extracts were evaluated in vitro by agar diffusion method against Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, Klebsiella pneumonia local isolate, Salmonella typhi ATCC 700931, Pseudomonas aeruginosa ATCC 27853, Bacillus cereus ATCC 11778, Candida albicans ATCC 90028 and Aspergillus flavus local isolate. Minimum bactericidal concentration was carried out using the tube microdilution method. All P. peruviana methanolic extracts were also investigated for phytochemical components. Phytochemical investigation on methanolic P. peruviana extracts revealed the presence of tannins, saponins, flavonoids, and alkaloids. Statistical analysis for intra-group Int. J. Trad. Nat. Med. 2020, 10(1): 1-12 Copyright © 2020 by Modern Scientific Press Company, Florida, USA 2 inhibitory activity amongst the various methanolic P. peruviana extracts concentrations demonstrated significant differences (P < 0.05) that were dose-dependent. The minimum inhibitory concentration and minimum microbicidal concentration against the test bacteria and fungi ranged from 3.9 to 62.5 mg/ml. Methanolic P. peruviana leaves extracts were the most potent against E. coli, S. typhi, P. aeruginosa and B. cereus. All P. peruviana extracts exhibited antibacterial and antifungal potential and can be considered as possible sources of noble antimicrobial agents for treating bacterial and fungal infections.
Modeling and Predicting Corona Contagion Dynamics in China, USA, Brazil & Ethiopia

The COVID-19 pandemic is a global pandemic of coronavirus disease 2019, caused by severe acute respiratory syndrome coronavirus 2 (SARS CoV 2). The outbreak was first identified in Wuhan, China, in December 2019. In this article, we investigate the problem of modelling the trend of the current Coronavirus disease 2019 pandemic in China, USA, Ethiopia and Brazil along time. Two different models were developed using Bayesian Markov chain Monte Carlo simulation methods. The models fitted included Poisson autoregressive as a function of a short-term dependence only and Poisson autoregressive as a function of both a short-term dependence and a long-term dependence. The models can be employed to understand the contagion dynamics of the COVID-19, which can heavily impact health, economy and ﬁnance. The result indicates whether disease has an upward/downward trend, and where about every country is on that trend, all of which can help the public decision-makers to better plan health policy interventions and take the appropriate actions to control the spreading of the virus.
Intra-examiner and inter-examiner reliability in the determination of angular measurements of the wrist using a smartphone application

Purpose: With recent technological advances, goniometric applications have increasingly been used for the measurement of joint angles due to the greater practicality and accessibility. It is therefore important to determine the reliability of these applications. The evaluation of the wrist is important, as this joint is commonly affected by trauma that can lead to limitations of movement. Thus, the aim of the study was to determine the intra-examiner and inter-examiner reliability of the Goniometer PRO© smartphone application for measuring the range of motion of the wrist. Basic procedures: A correlational, blind, cross-sectional study was conducted involving 43 healthy women (mean age: 20 ± 2.3 years) with no upper limb injuries. Both wrists were examined in each participant (n=86). Active wrist flexion and extension were measured by three previously trained examiners using the smartphone application for the determination of inter-examiner reliability and a second evaluation was performed after 48 hours for the determination of intra-examiner reliability. Main findings: Excellent intra-examiner (ICC>0.75) and inter-examiner (ICC>0.90) reliability were found for both wrists. A very good correlation (r>0.90; p 0.80; p<0.0001) were found for the right wrist and for the inter-examiner evaluations of both wrists. Good agreement was found for all measures, as demonstrated by the Bland-Altman analysis. Conclusions: The present data on intra-examiner and inter-examiner reliability of the Goniometer PRO© for the smartphone demonstrate that this goniometric application can be used as an effective tool for the evaluation of the range of motion of the wrist.
Preliminary studies on seed of endangered Magnolis sieboldii

Seeds of Magnolia sieboldii were studied with scanning electronic microscope, its wooden seed coat makes its low germination;Based on the method of TCC,different seed vitality were assessed,the results indicated that cold and mild conditions could keep seed vitality well; In different deposition, seed germination was studied, we found it kept well with mild sand in cold condition;Dynamic of its seed bank were investigated by random sampling methods in natural environment; many seeds lost as dispersal. On the other hand, poor seed quality and its infancy was absent, which made its population development get threatened. Some effect measures were proposed for seed protection.
Non-Bacterial Components of the Primate Microbiome: Against a Bacterial Bias

Since the discovery that the world in which we live is entirely filled with organisms too small to see with the eye, biologists have drawn a line between the microorganism and the multicellular organism. However, the search for the evolutionary apex of cellular organisms has blurred this line, from the theory of lateral gene flow (Woese, 1998) to the discovery that archaea and eukarya share more in common with each other than either shares with bacteria (Woese & Fox, 1977). In researching the microbiome – the physical commensal relationship between animals and their microbial inhabitants – it is important to consider the full diversity of microbial taxa. This paper seeks to investigate biases in microbiome research toward specific microbial taxa and seek out how the less-studied varieties of microbial inhabitants may have effects unaccounted for. Despite a growth of research interest in archaea since its identification by Woese and Fox (1977), little research has been conducted into their relationships to other organisms, such as humans. As the domain was originally understood as a clade of extremophiles due to their original isolation from geothermal vents (DeLong & Pace, 2001), it would be expected that archaea would be a minor part of more familiar environments; however, it is now known that members of archaea exist with great frequency in non-extreme environments, such as plankton, lakes, and soils (DeLong & Pace, 2001). Regardless, research into the composition of human microbiota retains a strong bias toward bacteria (Huttenhower et al., 2012; Lloyd-Price, Abu-Ali, & Huttenhower, 2016). Comparative primatology has often failed to expand microbiota research beyond bacteria, frequently excluding unknown or infrequent phyla from results of DNA extraction (Garber, Mallott, Porter, & Gomez, 2019; Mallott & Amato, 2018; Orkin, Campos, et al., 2019; Orkin, Webb, & Melin, 2019). At its extreme, the term “microbe” has been used synonymously with the term “bacteria” despite the far more precise definition of the latter (for an example, see Mallott & Amato, 2018).
Beyond Beta-Convergence: Convergence in Differences and its Application to the Russian Regions

The purpose of this paper is to propose a new empirical model capable of highlighting some aspects of cross-economy convergence which cannot be caught by the popular beta-convergence and sigma-convergence models. The idea is to analyse the growth of the economies as a function of the distance between the observed output per capita and the average output per capita within the sample, separating the behaviour of poorest and richest economies. After its specification, I applied the model to the case of the Russian regions over the period 1995-2015 using the fixed-effect estimator. The results show that, although the existence of a significant beta-convergence process, there is a lack of convergence in differences. When the differences between regional and national output per capita are negative, a positive and significant relationship between growth and levels emerges. Such a relationship turns to be negative and non-significant when the differences are positive, therefore denoting weak non-linearity between growth rate and level of output per capita. Similar findings have been found for labor productivity.
The Political Duality: On the Advantages and Disadvantages of Ex-Politicians and Former Government Officials Serving on Boards of Directors

In this study, we examine two key issues situated at the intersection of corporate governance and corporate political activity literature. The first is whether the presence of ex-politicians or former government officials on a corporate board provides a competitive advantage for the firm. A second, related question is whether the presence of these outside directors on the board of directors is perceived as desirable by their fellow directors. While some have characterized the study of board processes as a black box (Leblanc, 2003; Pugliese et al., 2009) due to the difficulty in acquiring data, we circumvented this challenge by directly surveying 82 Canadian board members, then delved deeper with ten directors using supplemental qualitative interviews. The results were examined via the lens of strategic positioning theory in contrast to the well-worn use of agency and resource dependency theories in the literature. Our findings suggest that heterogeneous benefits may accrue depending upon the industry involved, and the political experience of the director(s) in question. However, a majority of current directors expressed significant reservations concerning the appointment of a political director. These findings, combined with the understudied Canadian context and the use of qualitative research methods, contribute to the extant literature.
CONVOLUTIONAL NEURAL NETWORK (CNN)-BASED TRANSFER LEARNING IMPLEMENTED TO TIME-SERIES FLOOD FORECAST

A deep neural network (DNN) model has recently been employed in a riverine flood forecast system. The accurate DNN model requires lots of data for machine learning. However, large data for flood events are hardly obtained in field measurements because abundant manpower and expensive sensor installation and maintenance are required in current research. Additionally, only a few flood events are normally recorded per year even if long-term measurement is successfully conducted. To improve data limitation, we introduced transfer learning, which pre-trains a model in a source domain and then reuses it in a different domain. This method can be beneficial when implementing the DNN model to the flood forecast at the location where insufficient data is available. The transfer learning with time-series DNN model potentially has not been successful. Instead, we focused on a convolutional neural network (CNN) model, a deep learning architecture and an image analysis tool, because it has numerous examples of image analyses with a transfer learning approach. Our previous study implemented the CNN model-based transfer learning to time-series flood prediction. The model pre-trained in large-size flood events in a source watershed was retrained with a small size data in a target watershed. This study performed the extension and improvement of the model with transfer learning in the previous study. An accuracy improvement of the model was achieved with a change of training datasets in a validation method. The model prediction was able to be extended till the 3h-lead time with reduced or equivalent errors when compared with those of no-pre-trained model.
Design, Construction, and Testing of Maximum Power Point Tracking (MPPT) Charge Controller for Photovoltaic (PV) Power Generation

Maximum Power Point Tracking (MPPT) charge controller is designed for using an easy and effective way to charge a 12v battery and a laptop charger of 19v simultaneously through the principle of the bulk-boost converter. This research work is suitable for 150W solar panels, as the Maximum Power Point (MPP) of Photovoltaic (PV) power generation systems changes with variation in atmospheric conduction, an important consideration in the research work is the efficience of PV systems to track the Maximum Power Point (MPP) correctly. It enhances battery life by providing higher efficiency to it. The efficiency of the research work was calculated from the power dissipated, and also calculated the point at which the battery extracts maximum power from the PV module. As the work was tested, the voltage and current were obtained which was used to Original Research Article Madububa et al.; JERR, 17(1): 36-47, 2020; Article no.JERR. 61184 37 plot the voltage-current and voltage-power characteristics curve. Though a lot of works have been published on this topic, but none has researched on MPPT that can charge both 12v battery and 19v laptop charger simultaneously. Hence, this work is aimed at researching on Maximum Power Point Tracker (MPPT) that will be able to perform the above mentioned features. Also, it is the objective of this work to compare the theoretical and experimental relationship between MPPT and PWM charge controller which the efficiency of the MPPT was calculated theoretically to be 97% while, experimentally we obtained it as 91.1% while for PWM the efficiency was calculated theoretically as 75% and experimentally as 70.4% which shows that MPPT charge controller is approximately 30% efficient more than the PWM charge controller.