Miracle-dz/UniFAR-FTUs huggingface dataset:
Which Kind of Learning Form Do Students Want in China during COVID-19 Outbreak

The global COVID-19 outbreak is seriously endangering human being's life, work and study. China has already taken positive activities, such as "suspend schools, no cease to learn", to ensure the health and safety of teachers and students and learning rights of students. This study is aimed to explore the significant influence factors of Chinese college students’ uptake of online learning at this special epidemic moment. After extending the Technology Acceptance Model, this study proposes a hypothesis model with seven variables. The data was collected across 431 college students through an electronic questionnaire. By using partial least square method to test, the results suggest that perceived usefulness, subjective norms, facilitating conditions and self-efficacy are the significant influence factors of students' online learning acceptance at this moment. The findings would be helpful for colleges and universities suffering from the pandemic to arrange and organize educational activities.
Bridging Fault Localisation and Defect Prediction

Identifying the source of a program failure plays an integral role in maintaining software quality. Both fault localisation and defect prediction aim to locate faults: fault localisation aims to locate faults after they are revealed while defect prediction aims to locate yet-to-happen faults. Despite sharing a similar goal, fault localisation and defect prediction have been studied as separate topics, mainly due to the difference in available data to exploit. In our doctoral research, we aim to bridge fault localisation and defect prediction. Our work is divided into three parts: 1) applying defect prediction to fault localisation, i.e., DP2FL, 2) applying fault localisation to defect prediction, i.e., FL2DP, 3) consecutive application of DP2FL and FL2DP in a single framework. We expect the synergy between fault localisation and defect prediction not only to improve the accuracy of each process but to allow us to build a single model that gradually improve the overall software quality throughout the entire software development life-cycle.
Assessing Quality in Systematic Literature Reviews: A Study of Novice Rater Training

This study investigated performance variability when graduate students critically appraised original studies from a systematic review. Fourteen doctoral students from different academic programs, with no systematic review experience, received training on the Methodological Quality Questionnaire (MQQ) rating scale. Participants were mostly male (71%) and non-native English speakers (79%). Each rater was randomly assigned one original study to independently assess using the MQQ. Their scores were compared to an expert rater. Statistical analysis comprised the following: percentage of agreement (POA), Kappa coefficient, and Kendall’s tau-b correlation. On the completed MQQ rating scale, 43% of the novice raters had a POA of 78% or higher with the expert rater. From this case study, a guide for improving training on methodological quality assessment was developed. Benefits include the following: (a) developing and supporting critical reasoning as well as problem-solving skills and (b) increasing research skills and competencies in the systematic review process.
RoScript: A Visual Script Driven Truly Non-Intrusive Robotic Testing System for Touch Screen Applications

Existing intrusive test automation techniques for touch screen applications (e.g., Appium and Sikuli) are difficult to work on many closed or uncommon systems, such as a GoPro. Being non-intrusive can largely extend the application scope of the test automation techniques. To this end, this paper presents RoScript, a truly non- intrusive test-script-driven robotic testing system for test automation of touch screen applications. RoScript leverages visual test scripts to express GUI actions on a touch screen application and uses a physical robot to drive automated test execution. To reduce the test script creation cost, a non-intrusive computer vision based technique is also introduced in RoScript to automatically record touch screen actions into test scripts from videos of human actions on the device under test. RoScript is applicable to touch screen applications running on almost arbitrary platforms, whatever the underlying operating systems or GUI frameworks are. We conducted experiments applying it to automate the testing of 21 touch screen applications on 6 different devices. The results show that RoScript is highly usable. In the experiments, it successfully automated 104 test scenarios containing over 650 different GUI actions on the subject applications. RoScript accurately performed GUI actions on over 90% of the test script executions and accurately recorded about 85% of human screen click actions into test code.
Draft Genome Sequences of Four Aspergillus Section Fumigati Clinical Strains

Aspergillus fungi in section Fumigati include important human pathogens. Here, we sequenced the genomes of two strains of Aspergillus hiratsukae and two strains of Aspergillus felis. The average genome sizes are 29.5 Mb for A. hiratsukae and 31.8 Mb for A. felis. ABSTRACT Aspergillus fungi in section Fumigati include important human pathogens. Here, we sequenced the genomes of two strains of Aspergillus hiratsukae and two strains of Aspergillus felis. The average genome sizes are 29.5 Mb for A. hiratsukae and 31.8 Mb for A. felis.
Analysis of Inflation Rates in Ethiopia Using Vector Autoregressive Models

This study aims to analyze the inflation rates by using Vector Autoregressive models. Vector Autoregressive (VAR) Models, Testing Stationary: Unit root test, Estimating the Order of the VAR, Cointegration Analysis (testing of cointegration), and Vector Error Correction (VEC) Models were used in this study for data analysis. Comparisons were made between food price index and nonfood price index using descriptive analysis. The findings of the study suggest that the percentage of food price index in higher than nonfood price index. The results also imply the existence of short-term adjustments and long – term dynamics in the CPI, FPI, and NFPI. Unit root test reveals that all the series are nonstationary at level and stationary at first difference. The result of Johansen test indicates the existence of one cointegration relation between the variables. The final result shows that a Vector Error Correction (VEC) model of lag two with one cointegration equation best fits the data. To contain inflation rates, therefore, the policy interventions aimed at tackling the current situation of inflation rates need to take into account the priorities of the government as the effect of policy instruments and means of solutions.
ONLINE-MEASUREMENTS OF PHYSICS AND CHEMISTRY OF URBAN AEROSOLS

The urban measurement station SMEAR III in Helsinki, Finland has been in operation since 2004 gaining information about the physical and chemical properties of atmospheric aerosols. This study reports obtained results covering concentrations of different sized of particles and their dependencies on traffic and meteorological conditions, aerosol particle number fluxes and chemical composition of particles. Results show road traffic to be one of the main sources of aerosol particles at the station with particle flux reaching 10 m s in the direction of road with 45 000 vehicles workday. Road traffic had the lergest effect on the smallest particles. The recent HR-ToF-AMS measurements during winter show that although the highest aerosol mass concentrations are mainly due to long-range transported pollution, local emissions (traffic, wood combustion) during low mixing situations canr rise PM1 concentrations to levels which may have health concerns.
MATERIAL SUPLEMENTARIO Model description Stochastic Gradient Boosting Stochastic Gradient

Stochastic Gradient Boosting (SGB) is a type of ensemble algorithm. An ensemble algorithms consist of multiple base models, each one of those provides a different solution to the problem; The solutions of all the base models, are finally combined (usually by weighted voting or averaging) into a single final model output, which is usually a more stable and accurate prediction. The intuition behind this is that many different predictors trying to predict the same outcome variable will perform better than any single predictor alone. Two major ensemble techniques (with many variations) have been developed, and the main difference between them is how the predictors are constructed; these techniques are: (1) boosting, where the predictors are not fitted independently, but sequentially, this mean that the subsequent predictors are based on the results of previous predictors, and (2) bagging where the predictors are fitted using random subsets of the original training data for each model [1],[2].
Research gaps and trends in the Arctic tundra: a topic-modelling approach

Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topicmodelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications of these changes for society.
Further Remarks on Phylogenetic Correction

In the following pages we publish responses to the papers in the last issue (83:3) by Westoby et al. and Harvey et al. on the use of 'phylogenetic correction' in comparative ecological studies. It has not been possible for every author to comment upon every contribution; in this issue Westoby et al. reply only to Harvey et al. (83:3), while Harvey et al. have been able to comment on all the opinions expressed. A final contribution from Westoby et al. will conclude this debate in the October issue (83:5).
An Analysis of the Stacking Potential and Efficiency of Plant-Microbial Fuel Cells Growing Green Beans (Vigna ungiculata ssp. sesquipedalis)

Plant-Microbial Fuel Cell (PMFC) technology is a promising bioelectrochemical system that can exploit natural plant rhizodeposition to generate electricity. PMFCs can be used to simultaneously generate electricity while growing edible plants, as illustrated in this study. However, the common problem encountered for soil PMFCs is the low power output. To solve this problem, the stacking behavior of PMFCs was examined to maximize the power output of several cells. A grid of 9 PMFCs (3x3) was constructed with stainless steel and carbon fiber electrodes growing green beans ( V. ungiculata spp. sesquipedalis ) for stacking purposes. Stacking results have shown that too many cells connected in series will result in voltage losses, while stacking in parallel conserves voltage between cells. Stacking a maximum of 3 cells in series is acceptable based on the results, since cumulative stacking revealed that voltage reversals can reduce the overall potential of the stack if there are too many connected cells. Stack combinations were also tested, resulting in an enhanced performance upon combining series and parallel connections allowing power to be amplified and power density to be conserved. The combination of three sets of three cells in series stacked in parallel (3S-P) generated the highest power and power density ( 160.86 μW/m 2 ) amongst all combinations, showing that power amplification without losses to power density are possible in PMFC stacking. Overall, proper stacking combinations have been shown to greatly affect the performance of PMFCs. It is hoped that the results of this study will contribute to the efforts of applying PMFC technology on a larger scale. ©2020. CBIORE-IJRED. All rights reserved
Hand therapy in Iran during the pandemic of covid-19: Scraping Social media (Instagram)

Background: The fast-evolving pandemic of COVID-19 has forced clinicians to implement tele-health strategies in their routine practice. Social media provides unprecedented opportunities to transfer educational, monitoring, and individualizing data to the target populations. There have been numerous efforts on social media to use telerehabilitation approaches for patients and therapists. Question/purpose :The purpose of this study was to explore and analysis the trend that hand therapists used for tele-rehabilitation approaches during the lock dawn period in Iran. Methods :Scraping method was used to map out the tele-rehabilitation strategies that Iranian therapists have implemented for the hand and upper extremity injuries during the COVID-19 pandemic. Tele rehabilitation method was searched by relevant hashtags and direct contact with therapists. Extracted data were described and categorized by content analysis and thematic coding. Results: During lock dawn period, 27 records from 18 accounts were posted with relative tele rehabilitation content in Iran. Based on the content of extracted data four themes were conceptualized: Empowerment, informative, adaptive to new situations, and supportive approach. The content that were covered in the most posts were informative approach (40%). Conclusion: In spite of the urgent necessity for delivering care during the lockdown, the total number of the active therapists was very low. No documented method or platform was identified.
Molecular Classification of Eucalyptus camaldulensis and Mentha pulegium Oils Components

Eucalyptus and Mentha remain flavours in agro-food manufacturing. Oils and components present antifungal potency vs. decay of fruits; E. camaldulensis is led by 1,8-cineole and a‑pinene, but M. pulegium, by pulegone. The antifungal activity of M. pulegium results three times that of E. camaldulensis. The phytochemicals present synergy. Categorization is recommended on basis of information entropy. Quantity of C-C double bonds, O-atoms and cycles cluster structures. The procedure undergoes a combinatorial upsurge. Notwithstandig, following equipartition conjecture, one gets a criterion for selection. The entropy allows clustering phytochemicals in agreement with cluster and principal component analyses. In the periodic classification, components in the same column show alike features. Phytochemicals as well in the same row present utmost similarity.
Activation Interfaces for Modular Reasoning in Context-Oriented Programming

Different activation mechanisms for Context-Oriented Programming (COP) like implicit activations have been proposed, increasing COP opportunities to be applied in real scenarios. However, activation mechanisms and base code definitions are insufficiently decoupled, as conditionals to activate layers require base code variable references. This hinders reuse, evolution, and modular reasoning of COP and base code, and therefore, uses of COP in real scenarios. This paper proposes Activation Interfaces (AIs), which are shared abstractions to communicate activation mechanisms and base code in a decoupled manner. Using these interfaces, an object can exhibit its internal state and behaviors, and conditionals use them to (de)activate layers. As layers are planned to be (re)used in different applications, developers can use AIs to overcome the incompatibility between values exposed by a particular base code and values required by a layer. In addition, as a layer is a plain object, it can use an AI to exhibit the conditional evaluation of its activation to other layers to resolve conflicts among activations of layers. We apply this proposal to implicit activations in which evaluations of conditionals implicitly (de)activate layers. Finally, we illustrate the benefits of this proposal through RAI-JS, a practical JavaScript library that currently supports AIs, reactive activations (implementation variant for implicit activations), global and dynamic deployment, enter and exit transition processes, and partial methods.
Development of an Orientation-independent Handheld Nebulizer

ABSTRACT This work aims to develop and characterize a miniaturized handheld vibrating mesh nebulizer (MHVMN) that can be operated equally well in any orientation. The MHVMN developed and tested in the present study comprises a power supply-frequency generator unit, a vibrating mesh plate, and a liquid reservoir equipped with a flat end orifice tube (FEOT) or a traditional wick for liquid delivery. Since the study focused on optimizing the dimensions of the FEOT which is a unique application of capillary force for solution delivery, the operating parameters including gap between reservoir wall and FEOT (LLR-FEOT), diameter of orifice on FEOT (Dorifice), nebulizer orientation, and aperture size were examined to investigate their effects on the performance of the MHVMN. The output rate and residual of a nebulizer were determined gravimetrically. An aerosol size spectrometer (Welas 3000) and a Micro orifice uniform deposit impactor (MOUDI) were employed to measure both aerosol concentration and mass distribution of the generated particles. The developed nebulizer was mainly evaluated with deionized water and 0.9% sodium chloride solution. The results showed that the LLR-FEOT of 0.225 mm was the optimal design because of the output rate and residual were similar for different orientations. The Dorifice needed to be larger than 0.8 mm, to guarantee the continuity of nebulization, and residual less than 4%. The FEOT-based MHVMN had significant advantage over the wick-based one, for much lower residual, which was important when the drug or solution was precious. The most significant and unique feature of the optimized MHVMN was the performance almost orientation independent. This made it ideal for aerosol medications, especially for patients lying on bed.
Yield and Physicochemical Characteristics of Spent Mushroom (Pleurotus ryngii, Pleurotus osteratus and Ammulina velutipes) Substrates According to Mushroom Species and Cultivation Types

ABSTRACT This study was conducted to determine the minimal yield of spent mushroom substrates (SMS) and physicochemical characteristics of Pleurotus ryngii, Pleurotus osteratus and Ammulina velutipes according to mushroom species and cultivation types. The annual yield of SMS in 2004 was minimally 1,670,182 M/T and 10.7-fold of the mushroom yield. The yield of SMS for Pleurotus ryngii, Pleurotus osteratus and Ammulina velutipes was 972,141M/T and was 58.2% of the total yield of SMS. Data from the chemical analysis of totally 109 SMS samples revealed that bed type cultivation showed low NDF (65.2%), high NFC (12.7%) and high ash (11.5%) contents (P<0.05), resulting in better nutritional characteristics compared with bottle or vinyl bag cultivation. In general, it was more desirable to classify SMS by cultivation types rather than by mushroom species for the effective use of SMS as an animal feed. Among cultivation types, SMS from bed type cultivation needed to be preferably used as feed. (
Impacting Industry 4.0 on the Banking Service: A Case Study of the Commercial Banks in Dong Nai Province

Industrial Revolution 4.0 has been happening at a fast pace that affecting all aspects of the globe, including Vietnam. The banking service considered to be most strongly influenced by industry 4.0. This new wave of technology is also making evident changes in the banking sector, especially changing the distribution channel and traditional banking products and services. Moreover, industry 4.0 will help Vietnam's financial sector participate more and more effectively in the global value chain, in the financial services market, and contribute positively to its growth. Therefore, this paper's primary goal is to determine the 4.0 factor impacting the bank service of commercial banks in Dong Nai province. The researcher surveyed 300 customers of commercial banks in Dong Nai province, Data collected from June 2020 to July 2020, and the researcher applied linear regression analysis. The paper's findings have the three factors affecting the bank service of commercial banks in Dong Nai province with a significance level of 0.05.
FACTORS AFFECTING ADOPTION AND SCALING UP OF ROOFTOP SOLAR PV DEPLOYMENT IN URBAN CENTRES

xiv EXECUTIVE SUMMARY. xv CHAPTER ONE: INTRODUCTION. 1 1.1 Background of the study. 1 1.2 Rationale of the study. 2 1.3 Problem statement. 4 1.4 Objectives . 5 1.5 Research questions . 5 1.6 Scope of the study . 5 CHAPTER TWO: LITERATURE REVIEW. 7 2.0 Introduction . 7 2.1 Theoretical review . 7 2.1.1 Evolving theories on sustainability and firms’ contributions to renewable energy . 7 2.2 Empirical review . 9 2.2.1 Global Renewable Energy Status . 9 2.3 Estimation of rooftop solar PV potential in urban centres . 14 Factors Affecting Adoption and Scaling Up of Rooftop Solar PV Deployment in Urban Centres PATRICK ix 2.4 Challenges and barriers to renewables including rooftop solar . 16 2.5 Opportunities, business models and key drivers to renewable energy deployment. 18 2.6 Energy Sector in Kenya . 20 2.4 Conceptual Framework for Rooftop SPV Adoption and Scaling Up. 26 2.5 Research gaps . 27 2.6 Summary of the literature review . 27 CHAPTER THREE: RESEARCH METHODOLOGY . 28 3.0 Introduction . 28 3.1 Research Design. 28 3.2 Research Approach . 28 3.3 Research Methodology. 29 3.3.1 Area of study and study population . 29 3.3 Data Collection Methods. 31 3.4 Data analysis . 32 3.5 Ethical Considerations . 33 3.6 Limitation of the study. 33 3.5 Data Analysis and Needs. 33 CHAPTER FOUR: DATA ANALYSIS, PRESENTATION AND INTERPRETATION. 35 4.0 Introduction . 35 4.1 Response Rate . 35 4.2 Distribution by Gender . 35 Factors Affecting Adoption and Scaling Up of Rooftop Solar PV Deployment in Urban Centres PATRICK x 4.3 Distribution by Job Position . 36 4.4 Solar PV Products . 36 4.5 Objectives of Installing Rooftop Solar PV. 36 4.6 Key Drivers that Motivate Consumers and Companies to Use Solar PV . 37 4.7 Challenges or Barriers Faced by all stakeholders involved in rooftop Solar PV deployment . 38 4.8 Opportunities Rising from rooftop Solar PV deployment . 39 4.9 Ownership Model for use of Solar PV . 40 4.10 Consumer Awareness on Solar PV . 40 4.11 Rooftop Solar PV capacity estimation of Nairobi city. 41 4.12 Roof area feasibility study for rooftop solar PV deployment . 42 4.13 Recommendations on Areas to Improve in Scaling Up of Solar PV . 42 CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMEDATION. 45 5.
The Dynamics of Stochastic Predator-prey Modelswith Non-constant Mortality Rate and GeneralNonlinear Functional Response

In this paper, we investigate the dynamics of stochastic predatorprey models with non-constant mortality rate and general nonlinear functional response. For the stochastic system, we firstly prove the existence of the global unique positive solution. Secondly, we establish sufficient conditions for the extinction and persistence in the mean of autonomous stochastic model and obtain a critical value between them. Then by constructing a appropriate Lyapunov function, we prove that there exists a unique stationary distribution and it has ergodicity in the case of persistence. Finally, numerical simulations are introduced to illustrate our theoretical results.