Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Commercialization in Iran University of Medical Sciences: Faculty Members' Viewpoints

Knowledge commercialization is one of the requirements of success in the modern economy. Universities and, accordingly, their faculty members play a crucial role in knowledge production and commercialization. The main purpose of the current study is to identify and review the factors influencing knowledge commercialization in the Iran University of Medical Sciences from the viewpoints of the faculty members. A cross-sectional descriptive survey was conducted on 267 randomly selected faculty members of the Iran University of Medical Sciences in line with the purpose of the study. The face validity of the scale was evaluated by seeking the opinions of five Medical Library and Information Science faculty members. The reliability of the scale was also confirmed by achieving Cronbach’s alpha test coefficient equal to 0.86. The data analysis was done using the SPSS software, version 21, descriptive statistics, and the Friedman test. Managerial requirements (M=7.71, SD=±25.69) were revealed as the most influential factor in knowledge commercialization. The cultural requirements (M=6.56, SD=+-2.82) showed the least effect. Employing experienced professional staff, faculty members’ problemsolving skills and knowledge and their research morale, supporting and equipping the involved bodies, developing a purposive, precise, and professional system for project evaluations, public financial and intellectual support, the inclusion of knowledge commercialization in the state’s strategic planning, as well as the development of a research-centered and project-centered culture in the university, are among the most important components of knowledge commercialization. Furthermore, according to the Friedman test, the structural, managerial, legal, individual, cultural, and environmental factors seemingly significantly affect knowledge commercialization in the university. Paying attention to the requirements of knowledge management implementation, especially managerial requirements, is very important for successful knowledge commercialization in universities. Knowledge Commercialization in Iran University of Medical Sciences: Faculty. IJISM, Vol. 20, No. 1 January-March 2022 510
Commercialization Pathways: Synegies Between Small And Medium Scale Farmers In Tanzania

The changing farm structures in sub-Saharan countries, with the emergence of medium and large scale farmers, has elicited opposing views in the literature. While much of this is largely positive, pointing to positive spillover effects in the larger agro-food industry, some studies point to some evidence of negative spill overs, especially due to land scarcity in the rural areas due to holding of land for speculation purposes, or higher food prices where large producers dedicate land to production for non-food crops. Nevertheless, evidence on the effects of these investments is scarce, with much of the evidence coming from case studies. This study investigates spillover effects of medium-scale farms and large scale farms on small scale farms productivity and commercialization in Tanzania. The study utilizes a sample of about 600 small scale farmers (less than 5 hectares of cultivated land) and about 600 large farmers, 300 medium scale (5 hectares to 10 hectares of cultivated land) and 300 large scale (greater than 10 hectares cultivated land) farmers drawn from eight district in rural Tanzania. A spatial econometric method is used to capture spillover effects from the large farms to small scale farms. Results show positive significant spatial dependence and spillover effects among medium scale and large scale farms on small scale maize productivity and commercialization, but not on rice, another major crop in the region.
Anteceden Repurchase Intention to Customers of Emina’s Cosmetic Products via Online

This research was conducted to examine the effect of customer experience, trust, and perceived enjoyment on repurchase intention. The location of this research is in Denpasar City. The analysis technique used in this study is multiple linear regression. The purpose of this study are: 1) To explain the effect of customer experience on repurchase intention, 2) To explain the effect of trust on repurchase intention, and 3) To explain the effect of perceived enjoyment on repurchase intention. The results of this study are (1) Customer experience has a positive and significant effect on repurchase intention (2) Trust has a positive and significant effect on repurchase intention (3) Perceived enjoyment has a positive and significant effect on repurchase intention.
Microbiological Characteristics and Heavy Metal Pollution of Crude Oil Contaminated Water Bodies in Port Harcourt Metropolis, Nigeria

Crude oil exploration has been beneficial to our economy but detrimental to our environment with the artisanal refineries further compounding the challenge. This research was aimed at investigating the microbiology and heavy metal pollution of three crude oil polluted rivers in Rivers State, Nigeria and effects on living organisms inhabiting that environment. This study was carried out in three locations in South-South Nigeria (Eagle Island, Iwofe and Chokocho rivers). A total of 64 water samples (upstream and downstream points) were collected using appropriate containers and sterile polyethene bags for 6 crab samples for a period of three months. Water and crab samples were analyzed for heavy metals using Atomic Absorption Spectrophotometric method while microbiological analysis involved isolation and enumeration of microbial populations of the water and crab samples as well as characterization and identification of the isolates using standard methods Results showed Total Heterotrophic bacteria (THB) ranged from 6.0 × 10 6 cfu/ml to 9.0 × 10 8 cfu/ml for the downstream locations and 1.7 × 10 6 cfu/ml to 3.5 × 10 7 cfu/ml for the upstream locations. Total Heterotrophic Fungi (THF) ranged from 2.0 × 10 4 cfu/ml to 1.1 × 10 5 cfu/ml for downstream locations and 0.1 × 10 4 cfu/ml to 4.0 × 10 4 cfu/ml for upstream locations, Hydrocarbon Utilizing Bacteria (HUB) ranged from 0.8 × 10 3 cfu/ml to 4.0 × 10 3 cfu/ml in downstream locations and 2.0 × 10 3 cfu/ml to 7.4 × 10 3 cfu/ml in upstream locations, Hydrocarbon Utilizing Fungi (HUF) Case Study Precious et al.; SAJRM, 11(3): 1-11, 2021; Article no.SAJRM. 78200 2 ranged from 1.0 × 10 3 cfu/ml to 6.0 × 10 3 cfu/ml for downstream locations and 5.0 × 10 2 cfu/ml to 8.0 × 10 3 cfu/ml for upstream locations. The bacteria identified biochemically included Serratia sp. , Enterobacter sp. and Salmonella sp. for the crab samples and Bacillus sp. was dominant in the water samples (Bacillus subtilis, Bacillus cereus, Bacillus carboniphilus). The heavy metals (Fe, Ni, Zn, Cd, Cu, Mn, Cr and Pb) were below the DPR permissible limit but are likely to increase since the activities leading to pollution are still ongoing. The crab as a filter feeder, had higher concentration of heavy metals and microbial population and the location with the highest crude oil pollution (14.5mg/l) had the lowest THB (6.0 × 10 6 cfu/ml) as physicochemical parameters like the amount of Dissolved Oxygen had been altered.
EFFECT OF AUDIT MARKET CONCENTRATION AND AUDITORS' ATTRIBUTES ON AUDIT QUALITY IN THE QUOTED NIGERIAN MANUFACTURING FIRMS

This study seeks to ascertain the effect of audit market concentration and auditor's attributes on audit quality in the company quoted in Nigerian manufacturing sector. Specifically, it aims at finding out the impact of audit market concentration (AMC) and auditors' attributes (AUTEN, AUDFZ, ADFEE, YEND) on the quality of audit (AQ) in the Nigeria manufacturing sector. Ex post facto research design was employed because the data were extracted from archive of past events. The study was restricted to quoted Nigerian manufacturing firms. Simple random sampling technique was employed to select 52 firms quoted on the Nigerian Stock Exchange as at 31st December, 2015. The study covers a period of 15 years from 2001 – 2015, forming a total of 780 firm-year observations. Data were obtained from secondary sources (annual reports and accounts) and subjected to the regression analysis using the pooled OLS and Panel EGLS. The result shows a non-significant positive relationship between Hirschman-Herfindahl Index and the quality of audit while concentration ratio for Big 4 reveals a negative non-significant relationship; auditors' tenure appears positive and statistically significant; audit firm size appears negative and non-significant; audit fee appears positive and statistically significant and year-end was negative and statistically significant with the quality of audit.
COPD_A_339498 205..212

1Department of Pneumology, Mechanical Ventilation Unit, 12 de Octubre University Hospital, Madrid, Spain; 2Department of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain; 3Department of Pneumology, Lung Transplantation Unit, 12 de Octubre University Hospital, Madrid, Spain; 4Department of Rehabilitation, Lung Transplantation Unit, 12 de Octubre University Hospital, Madrid, Spain; 5Department of Pneumology, 12 de Octubre University Hospital, Madrid, Spain; 6Department of Research. Center for Biomedical Research on Respiratory Diseases (CIBERES), Madrid, Spain Purpose: Home non-invasive ventilation (NIV) is recommended in patients with COPD and hypercapnic chronic respiratory failure (HCRF). The mechanism by it can improve alveolar ventilation during spontaneous breathing is not yet completely explained. Our aim is to evaluate the impact of on diaphragm muscle function in a series of patients with HCRF. Patients and Methods: Observational, longitudinal, prospective study of a series of patients with very severe chronic obstruction to airflow treated with home high imntensity NIV (HINIV). Patients underwent a baseline and after 12 months assessment including adherence to treatment, quality of life, respiratory function tests and diaphragmatic ultrasound. SPSS v.26 software was used for statistical analysis. Results: We studied 30 patients, 63% male, the mean age was 60.8 (±6.4) years old. Patients had a severe obstructive ventilatory pattern [FEV1 21.8 (±6.1)%] and hypercapnia [pCO2 56.4 (±7.2) mmHg]. After 12 months of HINIV, we observed significant increases in FVC of 9.2% (p = 0.002), FEV1 of 3.5% (p = 0.04), MIP of 9.4% (p = 0.006), and 6-minute-walking test (6MWT) of 31.9 m (p = 0.001), as well as decreases in paCO2 of 12.5 mmHg (p = 0.001), HCO3 of 4.7 mmol/L (p = 0.001) and BODE index from 7 to 6. Diaphragmatic ultrasound demonstrated an increase in the thickening fraction of 14% (p = 0.002). Respiratory symptoms (p = 0.04), physical function (p = 0.03), and sleep (p = 0.04) also improved. Conclusion: In patients with HCRF due to very severe chronic obstruction to airflow, long-term HINIV can improve respiratory performance by improving the function of the diaphragmatic musculature. Larger multicenter clinical trials are needed to confirm the results suggested in this study.
Lecturers’ Perception on the Implementation of Approaches to Teaching Literature in EFL Classrooms

The selection of appropriate approach(es) to teaching literature in EFL classrooms becomes a necessity that they can result in good performance of the students, both in their critical thinking aspect and their language proficiency. The problem appears when the lecturer does not implement a suitable approach to literary analysis when teaching literature to the EFL students. These problems led to the student’s inability to perform as expected. The present study examines how lecturers perceive the implementation of approaches to teaching literature in EFL classrooms and their relations to improving the students’ reflective writing skills as the manifestation of the student’ responses to the literary works. Among the approaches studied were the Language-based approach, the ReaderResponse approach, and the Philosophical approach. The study was carried out on six lecturers teaching the Literary Criticism course in the EFL classrooms at the university level. A questionnaire was distributed to the lecturers teaching this course at a university in Semarang, Indonesia, containing eight-question items regarding how they perceive the literary approaches and how effective they used them in improving the students’ reflective writing skills, in encouraging the students to think critically about the events in literary works and in relating the readings to some aspects of their own lives. The study revealed that each literary analysis approach in teaching literature has its benefits and characteristics. The * Corresponding author, email: bunga.febriani@gmail.com Citation in APA style: Febriani, R. B. , Rukmini, D. , Mujiyanto, J., & Yuliasri, I. (2022). Lecturers’ perception on the implementation of approaches to teaching literature in EFL classrooms. Studies in English Language and Education, 9(1), 349-364. Received May 9, 2021; Revised October 12, 2021; Accepted December 7, 2021; Published Online January 17, 2022 https://doi.org/10.24815/siele.v9i1. 21035 R. B. Febriani, D. Rukmini, J. Mujiyanto & I. Yuliasri, Lecturers’ perception on the implementation of approaches to teaching literature in EFL classrooms | 350 study results also showed that each approach has its strengths and weaknesses that differ from one another.
JMB-05-2021-0013_proof 42..63

Purpose – This study examines how specific micro-level macroeconomic indicators influence corporate performance volatility among US corporate bodies in the short run. Design/methodology/approach – The study employs error correction autoregressive distributed lagged (ARDL) model (ECM) to examine how micro-level variables influence volatility associated with corporate performance in the short run. Findings – This paper finds that disaggregated or micro-level variables examined, tend to exhibit features that are not readily apparent from the aggregate variable from which such variables are derived. For instance, reported empirical estimate suggests that, growth in expenditures on services and nondurable goods tend to lower volatility associated with corporate performance, whereas government expenditures and expenditures on durable goods rather worsens volatility associated with corporate performance, all things being equal. Additionally, presented empirical estimates further provide evidence suggesting that macroeconomic uncertainty and inflation uncertainty significantly moderate or influence the extent to which disaggregated variables impact corporate performance volatility. Originality/value – Compared to related studies in the reviewed literature, this study rather examines volatility associated with corporate performance instead of the corporate performance indicator itself. Additionally, this paper also examines how disaggregated variable instead of aggregate variables impact such volatility. Finally, themoderating role of keymacroeconomic conditions in such a relationship is also examined.
Stereotype Threat & Leadership 1 Running head: Stereotype Threat & Leadership The Effect of Stereotype Threat on Decision-Making: Comparing Male and Female Leaders and Followers

Stereotype threat affects members of almost every stereotyped group, yet only a select number of groups and outcomes have been examined in prior research. In the current study, we examined the effect of stereotype threat on decision-making by comparing male and female leaders and followers. Participants were primed with the role of leader or follower (or not primed with either role—the control condition) and either reported their gender at the beginning (i.e., gender primed) of the study or at the end (i.e., gender not primed). They then completed a series of tasks measuring various aspects of decision-making: risk-aversion, loss-aversion, accuracy, confidence, and overconfidence. Results suggest that men were more risk-averse when primed with the follower role than in the control condition. Similarly, women were less loss-averse when primed with the follower role than in the control condition. In all, we found support that role (i.e., leader, follower) and gender stereotypes affect decision-making. We discuss the implications of this research for improving decision-making among both male and female leaders and followers.
Prevalence of gastrointestinal nematodes in donkeys and Mule's species in Anseba Region, Eritrea

Gastrointestinal helminths (GIH) are the commonly diagnosed infections since ponies, donkeys, and horses are hosts to a wide range of helminths. It is the first qualitative and quantitative cross-sectional study conducted from February 2 to May 20, 2018, to estimate the prevalence of the major gastrointestinal nematodes in donkeys and mules in the Anseba region. For this purpose, 300 donkeys and 30 mules were examined. Fresh fecal samples were collected and subjected to standardized parasitological protocols viz; floatation and McMaster techniques to identify the parasites. Results showed that 300 (90.9%) samples from both species were positive for nematodes of different Genera. The gastrointestinal (GIT) nematodes prevalence in donkeys and mules was 96 and 40%, respectively. Strongyles spp. was the most prevalent parasite in the study area, followed by; Parascarisequorum, Oxyurisequi, Trichomena spp. , and Triodontophores spp. , mixed infection among the GIT parasite was also seen in the donkey. From the current study, it can be concluded that donkeys seem to be affected more than mules by GIT nematode parasites. Therefore, routine deworming procedures using broadspectrum anti-nematode drugs should be conducted to control and prevent the diseases, and, where possible, a rotational grazing program should be implemented.
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Dynamic languages, such as Python and Javascript, trade static typing for developer flexibility and productivity. Lack of static typing can cause run-time exceptions and is a major factor for weak IDE support. To alleviate these issues, PEP 484 introduced optional type annotations for Python. As retrofitting types to existing code-bases is error-prone and laborious, machine learning (ML)-based approaches have been proposed to enable automatic type infer-ence based on existing, partially annotated codebases. However, previous ML-based approaches are trained and evaluated on human-provided type annotations, which might not always be sound, and hence this may limit the practicality for real-world usage. In this paper, we present TYPE4Py, a deep similarity learning-based hier-archical neural network model. It learns to discriminate between similar and dissimilar types in a high-dimensional space, which results in clusters of types. Likely types for arguments, variables, and return values can then be inferred through the nearest neigh-bor search. Unlike previous work, we trained and evaluated our model on a type-checked dataset and used mean reciprocal rank (MRR) to reflect the performance perceived by users. The obtained results show that TYPE4Py achieves an MRR of 77.1 %, which is a substantial improvement of 8.1% and 16.7% over the state-of-the-art approaches Typilus and Typewriter, respectively. Finally, to aid developers with retrofitting types, we released a Visual Stu-dio Code extension, which uses TYPE4Py to provide ML-based type auto-completion for Python.
PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

Natural Language Processing algorithms have made incredible progress, but they still struggle when applied to out-of-distribution examples. We address a challenging and underexplored version of this domain adaptation problem, where an algorithm is trained on several source domains, and then applied to examples from unseen domains that are unknown at training time. Particularly, no examples, labeled or unlabeled, or any other knowledge about the target domain are available to the algorithm at training time. We present PADA: An example-based autoregressive Prompt learning algorithm for on-the-fly Any-Domain Adaptation, based on the T5 language model. Given a test example, PADA first generates a unique prompt for it and then, conditioned on this prompt, labels the example with respect to the NLP prediction task. PADA is trained to generate a prompt that is a token sequence of unrestricted length, consisting of Domain Related Features (DRFs) that characterize each of the source domains. Intuitively, the generated prompt is a unique signature that maps the test example to a semantic space spanned by the source domains. In experiments with 3 tasks (text classification and sequence tagging), for a total of 14 multi-source adaptation scenarios, PADA substantially outperforms strong baselines.1
Evaluation of the Sealing Ability and Antibacterial effect of Guttaflow; a new Root Canal Filling/Sealer Material using Enterococci

Interest in the microbiological profile of post-treatment apical periodontitis has increased considerably during the last few years. It is generally believed that the major cause of treatment failure is the survival of microorganisms in the apical portion of the root-filled tooth. Enterococcus faecalis (E.faecalis) is the most drug resistant organism of these bacteria , and can survive in root canals for 12 months even under nutrient-deprive conditions. Aim: The study aimed to evaluate the sealing ability and the antibacterial effect of a new root canal sealer/ filling material (Guttaflow) and comparing it with other sealing materials (Topseal and gutta-percha). Materials & Methods: To test the sealing ability of the tested materials, we used Enterococcus faecalis cultured in Brain Heart Infusion (BHI) (bacterial leakage study) ,and methylene blue dye (dye extraction study). Sixty four caries free, extracted human anterior teeth were cut to the cementoenamel junction, prepared in a crown down technique, and divided into 2 parts (32 for each study); one part for bacterial leakage study and the other part for dye extraction study. Then each 32 teeth were subdivided into three groups (n=10) and 2 control teeth. GroupI: obturated with a cold lateral compaction using Gutta-percha and topseal sealer. Group II: obturatd with cold lateral compaction using Gutta-percha and Guttaflow as a sealer. Group III: obturated with single cone technique using Gutta-perch and Guttaflow as filling/sealer. The antibacterial effect of the tested materials (against Enterococcus faecalis cultivated on Brain Heart Infusion Agar) were evaluated by measuring the zone of inhibition around discs made of the materials. Results: There was no statistically significant difference between the presence of coronal bacterial leakage among the three groups. For the dye study there was no statistically significant difference between Group II and Group III which showed low values of dye leakage. This was followed by Group I hasing the least absorbance (lowest dye leakage), with a significant difference between the three groups. Topseal showed the statistically significant highest mean inhibition zone (0.8±0.2). There was no statistically significant difference between Guttapercha and GuttaFlow which showed the statistically significantly lowest mean values.