Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Servant Leadership on Follower Turnover Intentions: Mediating Role of Resilience

Manuscript type: Research paper Research aims: This paper aims to investigate the impact of servant leadership on turnover intentions within the context of higher education institutions (HEIs). It further examines how resilience affects the relationship between the two variables. Design/Methodology/Approach: Based on the conservation of resource theory, a research model has been developed and tested through a questionnaire survey approach. Data collected from 301 academics in HEIs in Pakistan were analysed using covariance-based structural equation modelling. Research findings: The study provides empirical evidence on the importance of having leaders who administer servant leadership, as this will help to reduce the turnover intention. It also reports the mediating effect of employee resilience. Theoretical contribution/Originality: This study expands the previous literature by focussing on the servant leadership type, which has potentially led to positive followers’ behaviour. It also fills the research gap by incorporating employee resilience as a mediating variable. Practitioner/Policy implication: Principals, directors and vicechancellors of HEIs should reconsider their leadership strategies to promote a positive working environment, as this will help to address the problem of employee turnover. Research limitation/Implication: Since the data were collected from Pakistan, it may not be possible to generalise the findings.
CORRELATION BETWEEN SERUM URIC ACID IN PRE DIABETICS AND DIABETICS:A PROSPECTIVE OBSERVATIONAL STUDY

To determine the level of serum uric acid level in diabetics and pre diabetics individuals. To compare the level of serum uric acid, FPG , HBA1C in pre diabetics and diabetics. There was a significant relation between prediabetics who were younger in age compared to diabetics (almost a decade younger). The gender distribution was identical between the two groups. 53% had complaint <1 year.39% had isolated HTN; 9% had IHD whereas 19% had both. The diabetics had HbA1c significantly higher than prediabetics. Although proportionately more prediabetics had raised creatinine levels, but the difference was not significant. The difference of mean uric acid wrt HbA1c was not significant, although people with lower HbA1c values had a higher uric acid levels. The difference was not significant wrt uric acid levels with FBS values in prediabetics. The difference was not significant, although people with lower PPBS had higher uric acid levels in prediabetics. There was a significant relation of lower uric acid mean values for people with elevated HbA1c over 7g% amongst diabetics. There was no significant relation, although mean uric acid levels were raised for people with FBS<110 amongst diabetics. There was no significant relation but uric acid levels were higher in people with PPBS <140 amongst diabetics Younger age in India is predisposed to prediabetes and diabetes. Often patients are silent, without symptoms and detected only by investigations, so investigations for prediabetes and diabetes should be mandatorily routine. Lower uric acid levels have correlation with impaired glycemic control and should be part of check ups for metabolic syndromes. Hypertension and heart disease commonly coexist with diabetes and should be tackled together. Uric acid monitoring should have a role in guiding glycemic goals.
Identifying Degree-of-Concern on COVID-19 topics with text classification of Twitters

The COVID-19 pandemic has various impacts on changing people’s behavior socially and individually. This study identifies the Degree-of-Concern topic of COVID-19 through citizen conversations on Twitter. It aims to help related parties make policies for developing appropriate emergency response strategies in dealing with changes in people’s behavior due to the pandemic. The object of research is 12,000 data from verified Twitter accounts in Surabaya. The varied nature of Twitter needs to be classified to address specific COVID-19 topics. The first stage of classification is to separate Twitter data into COVID-19 and non-COVID-19. The second stage is to classify the COVID-19 data into seven classes: warnings and suggestions, notification of information, donations, emotional support, seeking help, criticism, and hoaxes. Classification is carried out using a combination of word embedding (Word2Vec and fastText) and deep learning methods (CNN, RNN, and LSTM). The trial was carried out with three scenarios with different numbers of train data for each scenario. The classification results show the highest accuracy is 97.3% and 99.4% for the first and second stage classification obtained from the combination of fastText and LSTM. The results show that the classification of the COVID-19 topic can be used to identify Degree-of-Concern properly. The results of the Degree-of-Concern identification based on the classification can be used as a basis for related parties in making policies to formulate appropriate emergency response strategies in dealing with changes in public behavior due to a pandemic.
A Proposed Framework for Implementing Cloud ERP System in a Developing Country Local Government: A Case of Uganda (cid:1)(cid:1)(cid:1)(cid:1)

Increased demand for efficiency and effectiveness in service delivery has made the implementation of information systems and the demand for access to real time information no longer a requirement unique to private sector or large public sector entities. Local government entities like municipalities are also challenged to provide services with similar efficiency and effectiveness. Successful implementation of an ERP system depend on a number of factors, the framework adopted when implementing the ERP is one of the factors that is critical. Implementing ERP system in local governments in developing countries should also take into account the fact that developing countries lack sufficient technological infrastructure, ERP implementing skills, adequate funds, and have unique political influences unlike developed countries. Cloud ERP provides a platform where local governments in developing countries could successfully implement ERP within prevailing constraints. An exploratory methodology involving focus groups was used to understand the information systems context of municipalities in a developing country, Uganda. Existing ERP implementing frameworks were reviewed, and a conceptual framework to successfully implement a cloud ERP system in a developing country local government is proposed. The understanding of ERP implementing framework/methodology will enable decision makers and ERP vendors reduce on total or partial failure rate of ERP implementation in developing country local governments. Existing ERP implementing frameworks are private sector based,developed countries oriented, based on universal best practice, and vendor specific. The contribution of this research is to the knowledge of implementing ERP in the context of public sector in a developing country
STUDY OF THE RELATIONSHIP BETWEEN SOME GENETIC MARKERS AND MILK PRODUCTION AND ITS COMPONENTS IN IRAQI BUFFALOES

The study was conducted in private sector civil projects, at Al-Mishkhab district, Najaf governorate, from 1/10/2019 to 1/15/2020 for one productive season. A total of 30 buffaloes with their 30 offspring, data of the buffaloes used in the experiment were collected by knowing the ages and types of animals by the project owners. Milk yield was measured based on daily production and the entire production season, milk samples were taken every two weeks for each buffalo, during the trial period, by manual milking method, at six in the morning. The milk sample was taken after mixing the milk produced from the buffalo well from the morning milking, to make the sample more homogeneous and in an amount of about 50 ml, after that, transferred directly to check the components of the milk to preserve the samples, not to be exposed to sunlight or high temperatures, the milk components of fat and protein were calculated every two weeks for the length of the experiment, by using the EKO Milk laboratory milk analyzer after collecting samples during the milking process. The results indicated that there were no significant differences between the genetic markers BM1706, ETH02, ETH003 with average daily milk production, milk fat and protein in most weeks.
Impact of riverbank erosion on women: cases from two villages in Bangladesh

There has been a massive impact of global climate change on the environment that is already evident in various parts of the world. Bangladesh is heavily affected by different climate change issues, and riverbank erosion is one of them. Among others, women are the most vulnerable and suffer the most during the riverbank erosion in Bangladesh. Thus, the key focus of this paper was to understand the impact of riverbank erosion on the lives of women applying a qualitative research method. The objective of the paper was to understand the vulnerabilities and survival strategies of women living in riverbank erosion areas. Findings suggest that the impact of riverbank erosion on the lives of poor women is diverse. It creates a burden for the family members, and in most cases, they fall into a vicious circle of poverty. Despite the increased workload of women due to the unequal distribution of labor in the family, some women also experience a sense of empowerment with their engagement in various income-generating activities, decision-making process and increased physical mobility.
HOW THE COVID-19 PANDEMIC INFLUENCE PERCEPTIONS OF ENVIRONMENTAL TOPICS IN THE NETHERLANDS

At the turn of the year 2019 to 2020, the pandemic covid-19 announced its arrival, with unprecedented global impacts. Global warming can, according to climate science, result in more frequent and comprehensive global crises similar to covid-19. A frequently discussed remedy for global warming is to restructure society in a way that fits the principles of sustainable development. It is advocated that such a restructuring would require a paradigm shift, away from the Dominant Social Western Industrialised Paradigm (DSP), which according to Thomas Kuhn’s rationale of scientific revolutions, occurs as a result of a scientific crisis, and covid-19 could be a such a crisis. Therefore, this thesis seeks to explore how the direct and indirect impacts of covid-19 influence the perceptions of the environment; and explore how these changes can be understood in terms of potential normative, cultural changes that would represent a more sustainable paradigm. In the period of the pandemic in the Netherlands, from April 13th, 2020 to May 6th, 2020, 13 Dutch citizens were interviewed on how they experience the pandemic, both generally and in regard to environmental topics. Contributions from the field of social psychology like: The Stone Age Biases Framework by van Vugt, Griskeviscius and Schultz (2014); Individual barriers for behavioural change proposed by Manolas (2015); Dunlap, van Liere, Mertig and Jones’ (2000) construct of the New Ecological Paradigm Scale and; Baker’s (2016) premise for sustainable development are used to identify potential changes that could imply behavioural or cultural changes in line with a more sustainable paradigm. The results suggest that covid-19 impact the respondents’ lives considerably and changed the way they think about environment related topics and their own lifestyle. It illustrates that: 1) people experienced the unique situation of the pandemic as a time for reflection around their personal lifestyle and habits; 2) It reveals that the pandemic impacts perceptions around current approaches to development and a deep concern for how the world is currently arranged in terms of environmental distress; 3) The pandemic materializes the state of the world and the need for change, due to before and after images of the environment with and without human activity; 4) It highlights that the pandemic impacts perceptions around community and cooperation; 5) It reveals a general perception or belief that that the majority of society are ignorant to environmental issues.
Multimodal Surprise Adequacy Analysis of Inputs for Natural Language Processing DNN Models

As Deep Neural Networks (DNNs) are rapidly adopted in various domains, many test adequacy metrics for DNN inputs have been introduced to help evaluating, and validating, trained DNN models. Surprise Adequacy (SA) is one such metric that aims to quantitatively measure how surprising a new input is with respect to the data used to train the given model. While SA has been shown to be effective for computer vision tasks such as image classification or object segmentation, its efficacy for DNN based Natural Language Processing has not been thoroughly studied. This paper evaluates whether it is feasible to apply SA analysis to DNN models trained for NLP tasks. We also show that the input distribution captured in the latent embedding space can be multimodal1 for some NLP tasks, unlike those observed in computer vision tasks, and investigate if catering for the multimodal property of NLP models can improve SA analysis. An empirical evaluation of extended SA metrics with three NLP tasks and nine DNN models shows that, while unimodal SAs perform sufficiently well for text classification, multimodal SA can outperform unimodal metrics.
INFLUENCE OF ACID MINE WATER ON THE DIVERSITY AND METABOLITE SHIFT OF MICROBIAL POPULATIONS OF THE RHIZOSPHERE OF COMMON REED (PHRAGMITES AUSTRALIS)

Common reed (Phragmites australis (Cav.) Trin. ex Steud. ) grows widely in various acid mine water bodies and remediates these polluted sites. There exists only a paucity of studies on the effect of acid mine water on microbial diversity and secondary metabolite compositions of the rhizosphere of the common reed. The aim of this study was therefore to determine the influence of acid mine drainage on the microbial diversity of the rhizosphere of the common reed as well as on its secondary metabolite composition. Two acid mine water bodies were selected for study and were compared with a normal water body. The acid mine status of the water bodies was confirmed by assessing a set of physicochemical properties, microbial diversity was measured using BIOLOG EcoPlates and secondary metabolite compositions were determined by nuclear magnetic resonance. Results showed that acid mine drainage reduces rhizosphere microbial diversity as well as influences secondary metabolite composition.
Antibiotic susceptibility of bacterial strains isolated from urinary tract infections inPakistan

Background: Urinary track infection (UTI) is a common infection in Pakistan. Poor knowledge about personal hygiene and lack of awareness are major reasons of this infection. All over the world and in Pakistan E. coli and K. pneumonia are main causative agents of UTI.Objectives:To analyze Antibiotic susceptibility pattern of bacterial strains isolated from urinary tract infections.Methods: In present study total 227 samples from Genomic Research Lab and Diagnostic Center Rawalpindi, Pakistan were tested for presence of different microbial infectious agents and their antibiotic resistance and susceptibility pattern. Biochemical test such as Gram staining, Lactose fermentation test, Motility test, Catalase test and Colony formation on MacConkey agar, Indole test, and Citrate utilization test were applied. The antibiotic susceptibility and resistance pattern was evaluated by using fourteen different antibiotics on MullarHigton agar. Top ten antibiotics were selected at a cut off value of 100 samples for E. coli and 20 samples for Klebsiella.Results: Against E. coli and K. species the most susceptible antibiotic was Imipenam with 97.5% and Amikacin with 94.9% susceptibility respectively. Moreover, against E. coli and K. species the most resistance antibiotic was Ciprofloxacin 81.7% and Tobramycin with 76.1% resistance respectively. The comparison of present study with pervious studies had shown an increase in resistance against various antibiotics.Conclusion: It is concluded from the present study that antibiotic resistance is on raise in Pakistan and the effect of each antibiotic was different with respect to type of infectious agent so it is recommended that the doctor should determine the dominant type of infectious agent and its susceptibility response before prescription of any antibiotic.
Study of Operational Efficiency of Large-Scale Publicly Owned Companies in Russia

A sustainable economic growth is partly a consequence of the best possible balance between public and private sectors. Reasons for changed government efforts in economy are highly diverse and lie in the area of strategic development goals. A review of evidence-based studies shows that public ownership in a capital of companies influences some characteristics of their operational activities. The specific components, elaborated in the paper, contribute to this. Based on data provided in financial statements of leading publicly owned companies in Russia, the research aims at identification of causal relationships in composition and ownership structure of companies, as well as their impact on economic ratios. Researchers verified the assumptions, put forward in this respect, using the correlation-regression analysis. The basis for the operational efficiency comparison included the return on equity (ROE), return on assets (ROA), return on sales (ROS), equity ratio and current liquidity ratio. Findings show that there are sufficient arguments in favour of the assumption that publicly owned companies are consistently less efficient against the private ones. Obtained data made it possible to conclude that a change in the state’s share in the capital of large-scale companies in Russia influences the return on assets and return on equity only. Other ratios under consideration express poor correlations. The heterogenic impact on adjacent ratios of operational efficiency prevents from concluding in a rigorous manner that publicly owned companies are a priori less efficient. One needs to keep in mind sector affiliation and a capital concentration ratio.
ANTIOXIDANT IMPACT OF Zingiber officinale AND Allium sativum ON RABBIT SEMEN IMPACTO ANTIOXIDANTE DEL Zingiber officinale Y Allium sativum EN EL SEMEN

Oxidative stress can reduce semen quality, thereby resulting in poor reproductive performance of male rabbits. This study was conducted to investigate the antioxidant potentials of dietary Zingiber officinale (Z) and Allium sativum (A) on rabbit semen quality. Twenty-eight male rabbits aged 9-10 months old were randomly allotted to seven diets containing 0 (control), 5, 10, and 15 g of Z, and 5, 10, and 15 g of A per kg diet respectively, and fed the experimental diet for seven weeks. Semen was collected weekly using an artificial vagina and assessed for semen volume (ml), spermatozoa motility (%), sperm concentration (cells/ml), and sperm viability (%). Seminal plasma was separated from the semen by centrifugation for Seminal Total Antioxidant Capacity (STAC) concentration. All data obtained were subjected to Analysis of Variance. The result showed that semen volume was significantly (p<0.05) higher in bucks fed Z15 and A10 than those fed the control diet. Spermatozoa motility was higher in Z5 group. Dietary levels of Z and A had a significant (p<0.05) effect on STAC; the highest value was recorded in bucks fed diet A10 (5.31mol/L). No correlation exists between seminal total antioxidant capacity and semen parameters in the Z and A groups of bucks. The study suggests that supplementation of male rabbits’ diet with Zingiber officinale or Allium sativum at the levels used in this study may not result in an optimum semen quality improvement as parameters assessed varied across the groups. However, dietary Allium sativum at 10g/kg can boost sperm production and antioxidant level in rabbit semen.
Determination of Antioxidant Activities of Two Endemic Allium Species From Turkey: A. sibthorpianum and A. Stylosum

In this study, two endemic Allium species, A. sibthorpianum and A. stylosum from Denizli and Mugla regions were examined for their total phenolic content and antioxidant activities. The total phenolic content in different solvent extracts obtained from bulbs and leaves of two Allium species was determined colorimetrically by using the Folin-Ciocalteau reagent. The antioxidant activities of the extracts (ethanol, methanol, acetone and petroleum benzine) were determined by their ability to inhibit linoleic acid peroxidation (β-carotene/linoleic acid assay) and DPPH radical scavenging activity. A. stylosum was subjected to EI-MS and H-NMR analysis and Apigenin 7,4'-di-methyl ether flavonol glucoside was detected. A. sibthorpianum methanol bulbs extract has the highest phenolic content (6.55 mg/gGAE). According to the results of antioxidant activity, bulbs extracts exhibited higher antioxidant activity than leaves extracts from all types of solvent. These results indicated that A. sibthorpianum has strong antioxidant properties and this species can be used as a natural antioxidant in food processing and pharmaceutical industries. Keyword: Allium stylosum, A. sibthorpiaum, Antioxidant activity, Total phenolic content, DPPH and β-carotene/linoleic acid.
Success Factors of Community Based Tourism (CBT) Perceived by Local Peoples: The Case of % 100 Misia Project*

CBT projects initiated with large funds and great hope can fail. Hence each community has specific economic, social, environmental, cultural and political structures, it has been observed that successful CBT projects from different localities around the globe have some common success factors. Therefore, an understanding of these factors has the potential to help decision makers for the future CBT projects, and offer a roadmap for the academicians planning to study in the area. Thus, this study aims to determine in which areas do the local people living in Misi village evaluated the “%100 Misia” project as successful. Study findings from 437 residents reached by convenience sampling suggest that the great majority of participants evaluated the project being successful. A total of 16 success factor compiled from the literature review was used to evaluate the CBT project and five major success factor for the studied project was found.