Miracle-dz/UniFAR-FTUs huggingface dataset:
Appium Essentials

Explore mobile automation with Appium and discover new ways to test native, web, and hybrid applications About This BookUse Appium to automate any type of mobile application from any language using any test frameworkWrite a single script to perform automation testing on both Android and iOS platformsEquip yourself with the practical skills required to develop mobile applications using this pragmatic guideWho This Book Is ForThis book is intended for automation testers and developers who want to enhance their skills from web-based automation to mobile application automation using Appium. Basic knowledge of mobile application testing, Selenium WebDriver, and programming is assumed. In Detail Nowadays, mobile automation is growing at a fast pace; this is where Appium comes in. It is a tool that performs automated mobile testing for Android and iOS.Appium Essentials is a practical guide that will help you to perform mobile automation testing and gain a good understanding of mobile automation concepts. This book will teach you how to use Appium drives on native, web-based, and hybrid apps.You will then explore Appium usage with different mobile applications, get acquainted with using an emulator to automate mobile apps, and learn about mobile gestures such as tap, zoom, and swipe. Finally, you will test your apps on a physical device and experience the look and feel of an end user!
Using Machine Learning for Predicting the Likelihood of Upper Secondary School Student Dropout

According to research there is much room for improving student retention in upper secondary schools in Iceland. Inna is a school administrative and learning management system used by all upper secondary schools in Iceland to some extent. Commissioned in 2001 by the Icelandic Ministry of Education, Science and Culture, the system has a large digital history of student attendance and school work performance data. The aim of this research is to evaluate the possibility of using machine learning algorithms to predict whether students in upper secondary schools in Iceland are in danger of dropping out of their studies. In this research a feature assessment is done on the data available in Inna. The performance of 13 batch learning supervised machine learning algorithms is evaluated. The algorithms are trained using 28 features from 53 674 records of previous student registrations that have been enrolled in matriculation examination studies in Iceland in the years 2003–2018. The best performing classifier after tuning the parameters is Gradient Boosting, followed by Random Forest and AdaBoost. The Gradient Boosting classifier is able to reliably predict with 84% accuracy whether a student is in danger of dropping out or their studies or not. An end user interface for school administrative users to view the classification results for their students currently enrolled in matriculation examination studies is presented.
SWIRL GRANULAR FLOWS IN A HORIZONTAL SHAKEN GRANULAR MATERIAL

A series of experiments done in which a granular material is exposed to horizontal vibration within a rectangular container with two hallow cylinders mounted inside of it. At high values of the peak acceleration relative to gravity novel swirl granular flows are observed within the cylinders while the grains cascade down the outer surface of the piles which fixed in the bottom of the container within the rectangular container outside the cylinders. Computer simulations are performed which may support the existent interpretation of the unusual aforementioned behaviour.
Asymptotic Behaviour of the Nonlinear Dynamical System Governing a Thermosyphon Model

Thermoyphons, in the engineering literature, is a device composed of a closed loop containing a fluid who motion is driven by several actions such as gravity and natural convection. Their dynamics are governing for a coupled differential nonlinear systems. In several previous work we show chaos in the fluid, even with a bynary fluid ( Jiménez-Casas and Ovejero[6], Jiménez-Casas and Rodŕıguez-Bernal[5,8]). In this work I prove some result about the asymptotic behaviour for solutions of above system with binary fluids (water and antifreeze) when we consider a prescribed heat flux. These results are the generalizing of those obtained by Rodŕıguez-Bernal and Van Vleck[17] for a thermosyphon model with one-component fluid.
Automation of anatomic torsion monitor for evaluation and improvement of low back dysfunction

AUTOMATION OF ANATOMIC TORSION MONITOR FOR EVALUATION AND IMPROVEMENT OF LOW BACK DYSFUNCTION by Vishal Kumar Singh The existing Anatomical Torsion Monitor (ATM) to evaluate mechanical stiffness and viscoelasticity of the low back suffers from various inherent defects. This has to be replaced by an improved device. Also the existing ATM cannot provide oscillations to the low back. The main objective is to automate the existing ATM for evaluating the low back immediately using objective methods. The specific objective is to provide oscillations for improving the low back dysfunction. The laser platform and the target chart for recording the readings are dispensed with the existing ATM. Instead, the ultrasound transducers are attached to the pads to record the readings for loading and unloading the low back. The voltage readings are directly recorded in the computer through a DAQ card and the Hysteresis Loop Areas (HLAs) are evaluated using MATLAB. In addition to automation of the ATM for evaluating the lows back, a technique is developed for improving the low back dysfunction by imparting oscillations to the low back. These oscillations can be delivered to the subject using a cam mechanism and a DC motor fitted to the automated ATM (AATM). The cam mechanism is used with pneumatic cylinders in order to give the oscillation alternately to both contact pads. The frequency of the oscillations can be controlled by using a speed controller switch. Ten control subjects (nine males and one female) in the age group of (24-77) were given oscillations to the low back for five minutes duration. HLAs were evaluated before and after the treatment in the form of oscillations. The frequency for each oscillation was 20 cycles per minute with amplitude of 2 inches. The percentage change in HLA as well as Range of motion were obtained and summarized. The existing ATM is successfully automated which results in objectively evaluating the passive low back and obtaining the results quicker compared to unautomated ATM. The automated ATM can also deliver quantifiable oscillations to the passive low back. It is observed that providing oscillations to the low back results in improved viscoelasticity of the low back for those subjects whose BMI is 25 or less and an insignificant change in range of motion for all the subjects. It is further observed that based on our tests, the optimal duration of oscillations is 5 minutes. However, the correct displacement amplitude, frequency, and duration of treatment will have to be determined from individual medical and physical conditions. AUTOMATION OF ANATOMIC TORSION MONITOR FOR EVALUATION AND IMPROVEMENT OF LOW BACK DYSFUNCTION by Vishal Kumar Singh A Thesis Submitted to the Faculty of New Jersey Institute of Technology in Partial Fulfillment of the Requirements for the Degree of Master of Science in Biomedical Engineering Department of Biomedical Engineering May 2010 APPROVAL PAGE AUTOMATION OF ANATOMIC TORSION MONITOR FOR EVALUATION AND IMPROVEMENT OF LOW BACK DYSFUNCTIONS
3D Graph Visualization with the Oculus Rift

Visualization of large graphs in 3D has been hampered by the expense and inconvenience of a virtual reality equipment. The Oculus Rift is an affordable head-mounted VR system that is becoming popular in gaming and education markets. The Gluskap software package for creating and editing graphs in 3D has been extended to include support for the Oculus Rift for stereographic 3D viewing, and navigation.
Assessing the relationship between Vocabulary Level Test (VLT) and reading comprehension

It has been considered crucial about how vocabulary knowledge in relation with reading comprehension. This research was conducted to explore the link of Indonesian students Vocabulary Level Test (VLT) performance and their reading textbook on reading subject. Through this pilot research, it can describe the implications profile in English teaching process especially in reading. Furthermore it can give more information in how to measure the reading textbook reference for reading subject or other similar subject that involve reading activities. There were 30 undergraduate students in Universitas Putera Batam that participated in the VLT. Their English textbook (Mosaic 1) was profiled to measure the lexical vocabulary level. The results indicated that only 1% of the participants had mastered the 2000-word level which means the vocabulary textbook-level is still far from students vocabulary knowledge. From the level of comparison theoretically they would have difficulties to comprehend the reading textbook, and some additional activities would be recommended, before, during and after the reading subject.
Software Development Lifecycle

Any software system to be developed (using any of the programming languages) must go through a series of steps before the system is deployed and released on to the production environment. The software development life cycle (SDLC) defines the stages involved in the software development process, so as to develop a particular application. One of the models that are followed in the development of a software application is called as a ‘waterfall’ model, which is shown in Figure A3.1. The figure shows a series of steps that we must follow in the software development process. The meaning of each of the phases is as explained below: Analysis: This is a phase in software development where the software engineer understands the exact requirements of the software to be developed. The requirements of the application to be developed are captured from the end users of the application and a ‘Business requirements document’ is prepared, which describes the answers to the following questions: 1. What are the inputs to the system to be developed? 2. What is the processing to be performed by the system to be developed? 3. What are the outputs of the system to be developed? ‘Analysis’ is the detailed study of the requirements that are received from the business users for a particular software system to be developed under a given set of constraints. Design: Software ‘design’ is a process to create ‘model’ of the system to be developed thereby finalizing the complete approach of development. The models created during the ‘design’ phase should define the following attributes: 1. The detailed software architecture of the system to be developed. 2. The detailed procedure/algorithm of each functionality which is required to implement the solution. 3. The specifications of the data models to be implemented for the system to be developed. 4. Other software system and integrity constraints. The ‘feasibility study’ is also done in the design process so as to determine if the requirements are possible to be implemented under a given set of constraints. If any of the requirements is found to be unfeasible, the development process may be reiterated from the analysis phase where the requirements for the system are redefined.
The Effect of Point Defects on the Electronic Density of States of ScMN2-Type (M = V, Nb, Ta) Phases

ScMN2-type (M = V, Nb, Ta) phases are layered materials that have been experimentally reported for M = Ta and Nb. They are narrow-bandgap semiconductors with potentially interesting thermoelectric properties. Point defects such as dopants and vacancies largely affect these properties, motivating the need to investigate these effects. In particular, asymmetric peak features in the density of states (DOS) close to the highest occupied state is expected to increase the Seebeck coefficient. Here, we used first principles calculations to study the effects of one vacancy or one C, O, or F dopant on the DOS of the ScMN2 phases. We used density functional theory to calculate formation energy and the density of states when a point defect is introduced in the structures. In the DOS, asymmetric peak features close to the highest occupied state were found as a result of having a vacancy in all three phases. Furthermore, one C dopant in ScTaN2, ScNbN2, and ScVN2 implies a shift of the highest occupied state into the valence band, while one O or F dopant causes a shift of the highest occupied state into the conduction band.
Release behavior of 1‐methylcylopropene coated paper‐based shellac solution in response to stepwise humidity changes to develop novel functional packaging for fruit

1‐Methylcyclopropene (1‐MCP) has been shown to be a suitable inhibitor of ethylene production in fruit and vegetables during preservation and distribution. In this study, a 1‐MCP controlled‐release system on coated paper was produced using shellac as the coating material. The effect of humidity and temperature on the release of 1‐MCP from the coated paper was investigated using a dynamic sorption system (DVS) with stepwise humidity changes (initial 20% relative humidity (RH) for 2 h, then increased to 40%, 50%, 60%, and 80% RH for 2 h, respectively). The release rate kinetic data were simulated using an Avrami equation with a mechanism release number n of 1.26. The results showed that the dynamic release of 1‐MCP from the coated paper was mainly affected by humidity, for which the release rate constant could be correlated with moisture concentration in humid air. The highest humidity condition (80% RH) resulted in the highest apparent activation energy of 46.8 kJ/mol. The effect of 1‐MCP coated paper on apple storage was evaluated by measuring the ethylene production rate, flesh firmness, and titratable acidity (TA) of apple. Ethylene production rates of apple were significantly affected with 1‐MCP coated paper. The values were 0.22 nL/g FW/h at 50 mg of 1‐MCP powder and 44.7 nL/g FW/h at 0 mg of 1‐MCP powder after 15 days at 4°C and 15 days at 20°C. The other properties of apple such as flesh firmness and TA also indicated that 1‐MCP coated paper could delay fruit softening during storage time. Based on these results, the release of 1‐MCP could be controlled by coating paper with shellac solution and promising to produce functional packaging for fruit.
Blogging as a Supportive E-Pedagogical Strategy in the Teaching Methodology of Economics

In the past decade, Web 2.0 technologies, such as blogs, Twitter, Facebook, and WhatsApp, emerged as online tools for teaching and learning. One particular Web 2.0 e-learning tool, blogging, has emerged as a technologyintegrated teaching strategy to engage and support students learning in contact, blended, and open distance learning spaces. The purpose of this chapter is to determine to what extent does blogging as an e-pedagogical strategy supporting students in the Teaching Methodology of Economics. A pragmatic approach, an exploratory mixed methods design and purposively sampled postgraduate students (n=209) in Teaching Methodology for Economics were selected. Results have shown that students do visit the blog platform for support daily. Furthermore, blogging as an e-pedagogical strategy supporting students in the Teaching Methodology of Economics showed statistically significant differences using blogging as a supportive e-pedagogical strategy in an open distance-learning context. Blogging as a Supportive E-Pedagogical Strategy in the Teaching Methodology of Economics
Exploring student ideas about biological variation

ABSTRACT An understanding of biological variation is important for understanding ecological interactions, ecosystem function, and species’ response to environmental change. Biological variation is essential to species survival because natural selection acts upon the phenotypic variation within a population: the more varied the population’s genetic resources, the more likely that the population will persist into the future. We explored how students think about biological variation by evaluating written assessments and interviews of grades 6–16 students about starting a captive breeding programme for species conservation. We created a qualitative framework that describes levels of proficiency in student ideas about biological variation. Lower level responses reason about attributes related to an individual’s reproduction and survival rather than population-level variability. Student responses at a middle level of sophistication point to the importance of variation but do not link it mechanistically to species survival and resilience. We also describe alternative conceptions related to biological variation and natural selection which exist at all grade levels. Educators can use these findings to inform curriculum and instruction in terms of addressing important concept areas (e.g. variation at the population scale) and some common alternative conceptions that may impact an accurate understanding of natural selection and evolution.
Verbal and non-verbal working memory and achievements on National Curriculum tests at 11 and 14 years of age

Recent research has found links between working memory and performance on National Curriculum tests. However, these studies have employed only verbal complex span tasks as measures of the central executive component of working memory. In the present study, children at Key Stages 2 and 3 of the National Curriculum (aged 11 and 14 years) were tested on measures of the phonological loop and visuospatial sketchpad as well as both verbal and nonverbal central executive tasks. Confirmatory factor analysis identified two factors: one verbal working memory factor associated with both the phonological loop and verbal central executive tasks, and one non-verbal working memory factor associated with both the visuospatial sketchpad and non-verbal central executive tasks. Further analyses were then used to explore the relationship between working memory and National Curriculum test scores in English, mathematics and science. The results suggested that both verbal and non-verbal working memory are important predictors of National Curriculum test scores.
A life course approach to understanding homelessness of shelter residents

ABSTRACT Using in-depth interviews of 40 residents from a homeless shelter in El Paso, Texas in the United States, this study examines the etiology, processes, and patterns of homelessness by assessing those confronting homeless spells at different time points and for varying reasons. Our study is guided by the research questions: How did residents of homeless shelters experience transitions and turning points of homelessness? What were the coping resources that homeless people drew on to overcome life adversities? Overall, we found that risk accumulation as a result of different traumatic events, such as death of a family member, marital or relationship breakdown, victimization, unemployment, substance addiction, poor mental health, or discrimination confronted in varied contexts, could serve as precursors or consequences that exacerbated the housing crisis over the course of a life. We recommend that efforts geared toward remediating, alleviating, or preventing homelessness be life course driven. It is only through compassion and empathy rather than criminalizing and stigmatizing that we can help stop the triggers and spread of the downward spiral of homelessness.
Factors Affecting Smes Owners to Use Social Media for Online Advertisement in Kuwait

This study examines the factors that affect small and medium enterprises in Kuwait to use social media for online advertisement of their products. The study adopted to use the Unified Theory of Acceptance and Use of Technology, (UTAUT), model to check the acceptance level of social media applications as a platform for online advertisement and correlation analysis to establish how each factor affects behavioural intention to use social media for online advertisement. The study adopts six factors, i.e., Performance expectancy, perceived price advantage, social influence, hedonic value, facilitating conditions, as independent variables and behavioural intention as dependent variable. This research used questionnaire for the purpose of collecting primary numeric data from participants. Each questionnaire contained items, including location and biological information of the respondent and experience in social media advertisement. The sample size used in this study was 206 participants. After collecting the data, the analysis was done using SPSS software to do a one sample t-test and correlation analysis. The findings indicated that the independent variables, performance expectancy, facilitating conditions, social influence and hedonic value, positively affect behavioural intention to use social media for online advertisement. Perceived price advantage has a negative effect.
Gender Bias in Medical Implant Design and Use: A Type of Moral Aggregation Problem?

In this article, I describe how gender bias can affect the design, testing, clinical trials, regulatory approval, and clinical use of implantable devices. I argue that bad outcomes experienced by women patients are a cumulative consequence of small biases and inattention at various points of the design, testing, and regulatory process. However, specific instances of inattention and bias can be difficult to identify, and risks are difficult to predict. This means that even if systematic gender bias in implant design is an ethical issue, it is one with no clearly blameworthy player. From a practical perspective, there is no single obvious point at which to intervene. Philosophers working in other areas have explored structurally similar moral problems—sometimes referred to as “moral aggregation problems”—such as the type of environmental harm caused by small actions of many players. I describe key features of these type of problems and strategies to address them. I then draw on these to suggest an approach to gender bias in medical implant design and use.
Hybrid MMSE precoding for Millimeter-Wave (mmW) Multi-user Massive MIMO systems

Millimeter-wave (mmWave) cellular systems is considered to be the key enabling technology for the future 5G wireless communication systems because of its high data rates, low latency, high system capacity, and huge available bandwidths. However, in order to meet the increasing demand, mmWave communications need to overcome certain challenges including high path loss and interference which can be reduced by applying large antenna arrays to achieve high beamforming gains. Although multi-user beamforming can improve spectral efficiencies, full digital beamforming strategies used in the conventional microwave systems increase the hardware cost and consumes high power for large number of antennas in mmW systems. In this paper, a multi-user hybrid precoding structure is proposed for mmWave massive-MIMO channels utilizing MMSE precoders at the BS with perfect channel knowledge. Simulations show that the sum-rate obtained by the proposed hybrid precoding scheme is nearly similar to the single-user rate and also performs better compared to other hybrid precoding approaches.