Miracle-dz/UniFAR-FTUs huggingface dataset:
Basic First Aid

WWW.NZSAFETY. CO.NZ 0800 NZ SAFETY (6972 3389) 227 M E D IC A L A fi rst aid emergency can happen any time, and it’s important to be prepared to deal with it. The Priority Action Plan recommended by St John provides a strategy for step-by-step management of a fi rst aid emergency. Having a strategy in place before an incident occurs, ensures fi rst aiders are prepared to quickly and accurately assess the situation, allowing them to identify and deal with the most serious conditions fi rst. This approach will ensure that any life-threatening conditions are always dealt with promptly, and that the most important actions receive priority.
Designing and developing a programme-focused assessment strategy: a case study

Abstract This case study describes the process that the Humanities Programme Team, in Dublin City University’s Open Education Unit, has undertaken with regard to developing a systematic, programme-focused assessment strategy. It charts the development of an Assessment Matrix that facilitated the enhancement of programme coherence in the context of a distributed modular provision model, and facilitated the use of an appropriate range and scaffolding of assessment types in relation to learning outcomes. To conclude, four recommendations on developing a programme-focused assessment strategy are presented: explicitly link assessments to both programme and module learning outcomes; provide adequate supports and resources for those designing and writing assessments; provide those Assessment Writers with appropriate professional development, as well as an opportunity to be part of an assessment writing community; and to embed a programme-focused assessment strategy into a programme’s quality assurance processes.
Formal description and model testing of Ontology based on extended order-sorted logic

Ontology is a philosophical word.However,with the development of computer semantic network,it is introduced to semantic web field and used to express concepts and the relationship between the concepts.Using the logic to formalize the Ontology and trying to test or reason the Ontology has been the hot point and difficulty.With the method of consulting description logic to express Ontology,to describe Ontology by using the extended order-sorted logic is proposed and then test and infer Ontology after the description.
The Effect of Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Operational Efficiency (BOPO), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR), on Return on Assets (ROA)

This study aimed to examine the effect of Capital Adequacy Ratio (CAR), Non- Performing Loan (NPL), Operating Efficiency (BOPO), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR) on Return on Assets (ROA). The population used in this study was Private Foreign Exchange National Bank in Indonesia that listed on Indonesia Stock Exchange (IDX) in 2013-2016. By using Purposive Sampling method, it could be obtained 44 samples of 15 banking companies which observed in 2013-2016. The analysis technique employed was Panel Data Regression. Research findings indicated that Capital Adequacy Ratio (CAR), Non-Performing Loan (NPL), Operational Efficiency (BOPO), Net Interest Margin (NIM), and Loan to Deposit Ratio (LDR) simultaneously had effect on Return on Assets (ROA). Then, partial test of each variables were CAR and LDR had not significant effect on ROA, while NPL, BOPO, and NIM have significant effect on ROA. Keywords: ROA, CAR, NPL, BOPO, NIM, and LDR DOI : 10.7176/RJFA/10-10-19 Publication date :May 31 st 2019
Computational methods for classifying glaucomatous visual field measurements

Glaucoma is a common eye disease that affects the optic nerve. It is the second leading cause of visual loss globally and while it can occur in all age groups, it is most common in the elderly. The main symptom of glaucoma is the progressive deterioration of the visual field. Management of glaucoma involves careful monitoring of the progress of disease with regular visual field tests. Accurate identification and early intervention can potentially prevent advanced vision loss. A number of mathematical, statistical, and data mining methods have been proposed to identify glaucomatous progression. However, all criteria used to assess change are hampered by noise that arises from individual visual field measurement. In addition, different clinical trials use different definitions of “progressing”. Currently there is no standard method for classifying changes in visual field measurements. The purpose of this thesis is to improve existing methods and to develop new methods for classification of glaucoma. The thesis first describes a glaucoma modeling software according to a patient’s clinical behaviour. The software can handle age-related visual decline, different types and rates of deterioration, and noise. Simulated data is a good resource for testing the efficiency of different methods in detecting progression, and for developing new methods with minimal cost. The thesis then investigates four classification techniques, including Event Analysis(EA), sequence matching, point-wise linear regression (PLR) and machine learning. For EA methods, the thesis proposed an algorithm “baseline-follow-up” for building a 95% (or 99%) confidence interval using a database of repeated Standard Automated Perimetry (SAP) tests of stable visual fields. Experimental results show that the proposed algorithm can improve the sensitivity compared with other EA methods. A major novel contribution is our introduction of sequence matching techniques to the
Survey on Internet of Things (IoT) for Different Industry Environments

Internet of Things (IoT) provides an opportunity to build powerful applications and computing systems by using wireless communication and radio frequency identification (RFID), mobile, wired and wireless sensor device. In recent years several IoT applications have been developed for industrial use. To comprehend the IoT development, this survey paper provides a precise review of current research on IoT technologies. This study provides IoT applications regarding industries and categorizes the research challenges, issues, and developments. This survey contributes in providing the current state-of-the-art information regarding industrial IoT.
RDMA-based Plugin Design and Profiler for Apache and Enterprise Hadoop Distributed File system

ii Dedication . iv Acknowledgments . v Vita . vi List of Tables . x List of Figures . xi Chapter 1: INTRODUCTION . 1 1.1 InfiniBand An Overview. 2 1.2 Overview of Apache and Enterprise Hadoop distribution . 2 1.3 Overview of RDMA-enhanced HDFS Design . 4 1.4 Problem Statement . 4 1.5 Organization of the Thesis . 5 Chapter 2: BACKGROUND . 7 2.1 HDFS Concepts . 8 2.1.1 Blocks . 9 2.1.2 NameNode . 9 2.1.3 DataNode . 10
Predictive Control of Power Converters and Electrical Drives: Rodriguez/Predictive Control of Power Converters and Electrical Drives

The book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic.
From plastic to gold: a unified classification scheme for reference standards in medical image processing

Reliable evaluation of medical image processing is of major importance for routine applications. Nonetheless, evaluation is often omitted or methodically defective when novel approaches or algorithms are introduced. Adopted from medical diagnosis, we define the following criteria to classify reference standards: 1. Reliance, if the generation or capturing of test images for evaluation follows an exactly determined and reproducible protocol. 2. Equivalence, if the image material or relationships considered within an algorithmic reference standard equal real-life data with respect to structure, noise, or other parameters of importance. 3. Independence, if any reference standard relies on a different procedure than that to be evaluated, or on other images or image modalities than that used routinely. This criterion bans the simultaneous use of one image for both, training and test phase. 4. Relevance, if the algorithm to be evaluated is self-reproducible. If random parameters or optimization strategies are applied, reliability of the algorithm must be shown before the reference standard is applied for evaluation. 5. Significance, if the number of reference standard images that are used for evaluation is sufficient large to enable statistically founded analysis. We demand that a true gold standard must satisfy the Criteria 1 to 3. Any standard only satisfying two criteria, i.e., Criterion 1 and Criterion 2 or Criterion 1 and Criterion 3, is referred to as silver standard. Other standards are termed to be from plastic. Before exhaustive evaluation based on gold or silver standards is performed, its relevance must be shown (Criterion 4) and sufficient tests must be carried out to found statistical analysis (Criterion 5). In this paper, examples are given for each class of reference standards.
The right to an audience at court: Realities, risks and challenges. A qualitative study from the perspective of practitioners working in a Community Rehabilitation Company

A fundamental role of the probation service is to provide advice and information to courts assisting in determining the most appropriate sentencing decisions. Historically, all probation officers as part of their mandatory training had experience in a court setting. Under the government’s Transforming Rehabilitation (TR) reforms, probation services were divided into 21 new privately-owned Community Rehabilitation Companies (CRCs) and a new public National Probation Service (NPS). This resulted in the NPS assuming the right to an audience at court by statute and the withdrawal of a right to an audience at court for CRCs. This qualitative study conducted during the summer of 2017 seeks to gain an insight into the views of CRC practitioners on contemporary court practice, specifically exploring their views on not having a professional role to provide advice and information on their caseload in court. The interviews identified four themes, reflecting both barriers to, and facilitators of, the withdrawal of the right to an audience at court by the CRC. These themes illustrated that the initial developments in the courts post-TR did not give the opportunity for active CRC involvement, resulting in increased scrutiny and criticism of their practice.
Comparison of Religious Teaching with Muscle Relaxation Methods on Anxiety Patients

Background: Anxiety in psychiatric patients is more prevalent than the general population. Non-pharmacological methods for the treatment of anxiety are beneficial to the health of the patient, but it is not clear which of these approaches are more appropriate. Objectives: The aim of this study is comparison of the effects religious teachings and muscle relaxation on reducing anxiety in patients hospitalized to psychiatric hospital. Materials & Methods: This is a quasi-experipsychiatric study with pre and post-test with control group that was performed on patients hospitalized to the ward of psychiatric hospital during the period from March to June, 2016. Out of 100 patients under the Spielberger anxiety screening, 60 anxious patients were diagnosed and 45 subjects who entered the study were randomly assigned to three groups of 15. Univariate analysis of Variance was used to analyze the data. Results: There was a significant difference between the post-training scores in the three groups (P=0.0001 and F=19.11). According to the Bonferroni test, there was a significant difference between the mean scores after the training in both groups of religious teachings (P=0.001 and MD=8.03, and relaxation with control group (P=0.0001 and MD=12.48). However, there is no statistically significant difference between the mean scores after training in the groups of religious teachings with relaxation (P=0.094 and MD=4.45). Conclusion: The use of the religious teaching module reduces of anxiety in psychiatric patients; religious teachings and relaxation techniques are equally effective in alleviating the anxiety of psychiatric patients. Therefore, it is suggested that these complementary and low cost methods be used to reduce anxiety instead.
MATLAB Tensor Toolbox

This software provides a collection of MATLAB classes for tensor manipulations that can be used for fast algorithm prototyping. The tensor class extends the functionality of MATLAB's multidimensional arrays by supporting additional operations such as tensor multiplication. We have also added support for sparse tensor, tensors in Kruskal or Tucker format, and tensors stored as matrices (both dense and sparse).
Construction of regional consumer price indices using small area estimation

Consumer Price Indices (CPI) are used in many ways by the government, businesses, and society in general. They can affect interest rates, tax allowances, wages, state benefits, and many other payments. The CPI is a fixed (national) basket index, where a range of goods and services is priced each month, and the expenditure shares on items in the basket are used to weight the price information together. The starting point for a regional price index should be a regional basket of goods and services. In the current poster, we derive regional baskets from the UK Living Costs and Food Survey (LCF), taking the products (COICOP classification) with the largest proportion of expenditures. As the sample size is naturally much smaller for regions, the accuracy of the direct estimates on the basket will be reduced. In order to overcome this problem one possibility - discussed in the poster - is to pool multiple years of LCF data to increase the sample size. Another is to consider small area estimation approaches for the regional basket. Ideally, the small area estimates would be constrained to the overall expenditure total. Therefore, we assess some benchmarking approaches. Since the conceptual framework of CPI-calculation for the UK and Germany do not differ too much the presented methodology can also be adapted for the calculation of regional CPIs for Germany.
Investigation of Power Quality Improvement in Super Lift Luo Converter

This paper presents the improved single phase AC-DC super lift Luo converter for enhancing quality of power by mitigating the issues. The proposed converter is used for output voltage control, power factor improvement and reduced source current harmonics at supply side. The main intention of this work is to design appropriate closed loop controllers for this AC-DC super lift Luo converter to achieve unity power factor in the source end. The designed control system comprises of two control loops, voltage control in outer loop and the current controller is devised in the inner loop. Fuzzy controller is used for current controller whereas PI controller as voltage controller. In the MATLAB/SIMULINK platform, simulation of the proposed AC-DC super lift Luo converter is done. It is clear from the simulation results that PI integrated fuzzy controller for voltage and control is proven to be better than classical PI with hysteresis controllers. The proposed system is able to achieve high input power factor along with supply current harmonic distortions of less than 5%.
Exploring Network Traffic Generation in a Simulation Environment

Simulations have become a very effective approach for visualizing how data transfer takes place in a network. But simulating network traffic in iCanCloud is a challenging process for students trying to learn how protocols work. This project proposes an environment combining an implementation of TCP/IP using INET and iCanCloud on top of OMNeT++ to simulate network traffic. Documenting the design of all the created simulations provide rationale as to how network traffic is generated. Furthermore, this project shows how promising the proposed environment is for analyzing network traffic. Evaluating and analyzing the created simulations provides potential ideas for extending the proposed environment as a platform for learning in the future.
The genus Rosenvingea (Phaeophyceae: Scytosiphonaceae) in south-west Australia, with the description of Rosenvingea australis sp. nov.

Abstract Two species of the brown algal genus Rosenvingea are reported from south-west (SW) Australia, including the widely distributed R. orientalis and the new species R. australis Huisman, G.H. Boo et S.M. Boo, sp. nov. Molecular phylogenies of mitochondrial cox3 and plastid psaA unequivocally align the SW Australian R. orientalis with specimens from Vietnam and the species is morphologically consistent throughout its Australian range. Australian specimens of the new species R. australis join with a specimen from New Caledonia and these resolve as a sister species to R. intricata, with levels of pairwise divergence (4.2–4.9% in cox3 and 3.9–4.0% in psaA) comparable to those between other scytosiphonacean species. The new species can be distinguished morphologically by its branch dimensions and the arrangement and size of plurangia, but further studies including molecular analyses of a full range of species and possible morphological variants are needed.
Assessing the Role of Entrepreneurial Competencies on Innovation Performance: A Partial Least Squares (PLS) Approach

For decades, entrepreneurial competencies have been viewed as essential for entrepreneurs to perform successfully and transform businesses. However, research on entrepreneurial competencies and their impact on innovative performance is very much lacking. Furthermore, research on these two variables among SMEs is also scarce. Thus, the intention of this study is to review the literature on entrepreneurial competencies and innovative performance and to investigate the relationships of these two variables within the Malaysian SME context with empirical evidence. A step by step SmartPLS approach is utilized to validate the model and find substantial support for the study's hypotheses.
Enhancement on 3 DoF Image Stitching Using Inertia Sensor Data

This paper proposes a method to generate panoramic images by combining conventional feature extraction algorithms (e.g., SIFT, SURF, MPEG-7 CDVS) with sensed data from an inertia sensor to enhance the stitching results. The challenge of image stitching increases when the images are taken from two different mobile phones with no posture calibration. Using inertia sensor data obtained by the mobile phone, images with different yaw angles, pitch angles, roll angles are preprocessed and adjusted before performing stitching process. Performance of stitching (e
Exploring Relationships Between Parenting Style, Perceived Stress, Coping Efficacy and Coping Strategies in Foster Parents

Removing a youth from the care of their biological family can place them at heightened risk for behavioral, emotional, social, and academic problems, and contribute to parenting stress. Foster caregivers with a high burden level may be impeded in their ability to function effectively. Our study investigated relationships between foster parent stress, coping efficacy, coping strategies, and parenting style to identify effective coping strategies in 178 foster parents. Current foster parents completed self-report measures assessing parenting styles, Coping Self Efficacy Scale (CSE), Brief COPE, and Perceived Stress Scale (PSS). Results indicated foster parents with more than three years of experience fostering endorsed significantly higher levels of perceived stress in comparison to foster parents with less than three years’ experience fostering, however there were no significant between group differences in coping self-efficacy. Problem focused coping strategies and problem focused coping strategies with support were found to significantly predict level of coping efficacy. Results suggest foster parents can still experience high amounts of stress even if they have effective coping strategies, however they remain confident in their abilities to manage their stressors. Results also indicated foster parents’ that specifically implemented problem focused coping strategies with support, as compared to other coping strategies, experienced higher confidence in their coping abilities. Implications of this study for foster care agencies are discussed.
FORENSIC ACCOUNTING POLICIES AND FRAUD CONTROL IN COUNTY GOVERNMENTS IN KENYA: EVIDENCE FROM COUNTIES IN MT.KENYA REGION

In the current century, fraud has become an issue that management and other stakeholders are aggressively trying to bring to a sustainable level. Fraud instances have been increasing in many organisations amidst continuous fight by governments and other agencies. The purpose of the study was to establish how forensic accounting policies would influence fraud control in County Government in Kenya. Seven counties in the Mount Kenya region were considered as the target population as well as the study sample size constituting of 351 staff members. To establish the level of statistical significance between the practical and predictable value, Analysis of variance (ANOVA) was used. Pearson coefficient of correlation was used to establish the strength of association among the variables while Regression analysis was used to approximate the model coefficients. Moreover, test of hypothesis was also carried out to define the relationship between the variables. In General, the study concluded that there was a positive linear relationship between Forensic Accounting policies and fraud control. It was evident that forensic accounting policies influenced fraud control by a coefficient of (0.219). The study therefore concluded that adoption of forensic accounting policies in county governments in Kenya would enormously contribute to fraud control in the public entities. Keyword: Forensic accounting, Fraud, Fraud control and Forensic accounting policies.
Efficiency Measurement of UWB Antennas Using Time Reversal in Reverberation Chamber.

Using the reverberation chamber to obtain antenna radiation efficiency is considered. The reverberation chamber, which has for many years been used for electromagnetic compatibility measurements, can also be used with great advantage for antenna measurements since it simulates effectively a uniform multipath propagation environment. How a reverberation chamber can be used to measure the ultra-wideband (UWB) antenna efficiency in a very short time is described. The procedure based on time domain is described and some experimental results are given and compared to measurements obtained by the Wheeler cap method extended by Schantz to UWB antennas.