Miracle-dz/UniFAR-FTUs huggingface dataset:
A New System of Index Numbers for National and International Purposes

SUMMARY This paper describes and further develops the author's new system of index numbers of prices and quanta based on R. C. Geary's intuitive, simple and economically meaningful definitions of purchasing power parities and related "average prices". Illustrations of the application of the author's new system for national and international purposes and comparisons with the corresponding traditional methods in current usage are made. Adaptation of the system for various purposes aimed at a more acceptable basis for a practical programme of national and international price and quantum temporal and spatial comparisons which satisfactorily answer almost all the known problems in this field are given. The paper also contains numerical illustrations and suggestions for further research.
Real-Time Restoration Of Image Sensor Photoresponse Nonuniformity

All imager arrangements degrade gray value pictures by their photo-response nonuniformity. This paper describes an adequate correction procedure. It is applicable in the case of rapidly changing image sequences containing a homogeneous background. As such systems are of interest in real-time applications, a detailed hardware design, including an error analysis, is given. Finally, the sources of nonuniformity are localized and illustrated by numerical examples.
Toward An Efficient Fingerprint Classification

Biometrics technology is keep growing substantially in the last decades with great advances in biometric applications. An accurate personal authentication or identification has become a critical step in a wide range of applications such as national ID, electronic commerce, and automated and remote banking. The recent developments in the biometrics area have led to smaller, faster, and cheaper systems such as mobile device systems. As a kind of human biometrics for personal identification, fingerprint is the dominant trait due to its simplicity to be captured, processed, and extracted without violating user privacy. In a wide range of applications of fingerprint recognition, including civilian and forensics implementations, a large amount of fingerprints are collected and stored everyday for different purposes. In Automatic Fingerprint Identification System (AFIS) with a large database, the input image is matched with all fields inside the database to identify the most potential identity. Although satisfactory performances have been reported for fingerprint authentication (1:1 matching), both time efficiency and matching accuracy deteriorate seriously by simple extension of a 1:1 authentication procedure to a 1:N identification system (Manhua, 2010). The system response time is the key issue of any AFIS, and it is often improved by controlling the accuracy of the identification to satisfy the system requirement. In addition to developing new technologies, it is necessary to make clear the trade-off between the response time and the accuracy in fingerprint identification systems. Moreover, from the versatility and developing cost points of view, the trade-off should be realized in terms of system design, implementation, and usability. Fingerprint classification is one of the standard approaches to speed up the matching process between the input sample and the collected database (K. Jain et al., 2007). Fingerprint classification is considered as indispensable step toward reducing the search time through large fingerprint databases. It refers to the problem of assigning fingerprint to one of several pre-specified classes, and it presents an interesting problem in pattern recognition, especially in the real and time sensitive applications that require small response time. Fingerprint classification process works on narrowing down the search domain into smaller database subsets, and hence speeds up the total response time of any AFIS. Even for
Scheduling and behavioral transformation for parallel systems

How to efficiently and optimally schedule a program with loops is an important problem in VLSI high level synthesis and compilers for parallel machines. For a signal flow graph of a DSP filter, or a data flow graph of a behavioral description, we would like to know how to transform this graph such that a final synthesized program or hardware is possible to achieve the highest pipeline rate. A new technique is designed by combining two transformation techniques, retiming and unfolding (or called unrolling), to obtain effective static schedules. Many fundamental properties of loop scheduling are derived through this combination. This new technique turns out to be very useful, and can be generalized to other problems. For example, the problem of software pipelining in parallel compilers is modeled as a special case of our technique. Efficient polynomial-time algorithms are derived for the scheduling on different parallel models and implementation styles. For uniform nested loops, multi-dimensional retiming and unfolding are defined and studied for nested loop pipelining. Based on the theoretical results, a novel technique, rotation, is designed for loop pipelining under resource constraints. Rotation technique repeatedly transforms a schedule to a more compact schedule. The rotation scheduling gives the currently best performance from experiments on benchmarks.
Achieving Your Doctorate In Education

Thank you very much for reading achieving your doctorate in education. As you may know, people have look hundreds times for their chosen readings like this achieving your doctorate in education, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. achieving your doctorate in education is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the achieving your doctorate in education is universally compatible with any devices to read.
Human evaluation of extraction based summaries

We present an evaluation of an extraction based summarizer based on human assessments of the summaries. In the experiment humans read the various summaries and answered questions on the content of the text and filled in a questionnaire with subjective assessments. The it took to read a summary was also measured. The texts were taken from the readability tests from a national test on knowledge and ability to be engaged in university studies (Sw. Högskoleprovet). Our results show that summaries are faster to read, but miss information needed to fully answer questions related to the text and also that human readers consider them harder to read than the original texts.
Efficacy of an Application-based Recurrence prevention Program for Breast Cancer Survivors: A Pilot study

Objectives: To develop an application-based recurrence prevention program and to determine whether the program was effective in reducing symptom experience, increasing social support, and reducing uncertainty on breast cancer survivors. Methods/Statistical Analysis: This is a quasi-experimental study with a non-equivalent control group pre-post test design. Twenty-seven breast cancer survivors with stage 0∼II cancer identified within 24 months of completion of primary care treatment were recruited. Experimental group downloaded an application-based program on their smartphone and documented their diet, exercise and pain during 8 weeks. The data was analyzed using Fisher’s exact test, Mann-Whitney U test, and Wilcoxon Signed Rank test. Findings: There is no significant difference between the two groups was evident in terms of any socio-demographic or clinical characteristics at the baseline. The experimental group had significantly lower scores for symptom experience (p = .044), uncertainty (p = .043) and higher scores for social support (p< .001). According to the results, app-based uncertainty intervention program for breast cancer survivors was effective in reducing symptom experience, increasing social support, and reducing uncertainty. Improvements/Applications: In conclusion, an application-based recurrence prevention program for breast cancer survivors may give a help to health management as the utilization of smartphone is more extended.
Predictive Modelling in Teaching and Learning

This chapter describes the process, practice, and challenges of using predictive modelling in teaching and learning. In both the ﬁelds of Educational Data Mining (EDM) and Learning Analytics (LAK) predictive modelling has become a core practice of researchers, largely with a focus on predicting student success as operationalized by academic achievement. In this paper we aim to provide a general overview of considerations when performing and applying predictive modelling, the steps which an educational data scientist must consider when engaging in the process, and a brief overview of the most popular techniques in the ﬁeld.
A micropower low-noise monolithic instrumentation amplifier for medical purposes

A CMOS low-power low-noise monolithic instrumentation amplifier (IA) is described. The power drain is reduced by use of current feedback and by use of only single-stage operational transconductance amplifiers in the low-frequency loop. The bandwidth of the IA is designed for medical purposes (0.5-500 Hz) and it can produce variable gains of 14/20/26/40 dB, which are set by control software.
The Robust Architecture Based Reliability Analysis Framework of Complex Software System Using In-Degree and Out-Degree

Nowadays, Software development process has incorporated many techniques, scientific approaches and advanced tools to develop the highest quality featured software. The size of the software systems also become large and make the system more complex. So that, it is necessary to ensure the quality of software system before its delivery. Software reliability is one of the important measurement to predict the quality of software which will be used to reduce the time, cost and other resources required for the testing process. Here we have proposed one novel framework to predict the software reliability based on software architecture and path testing by incorporating indegree and out-degree concept used in graph theory. This proposed framework will reduce the number of test path in the system which will be used to reduce the testing time and resources. The applicability of our proposed framework is validated by using two real time case studies and these results are compared with the prevailing standard reliability models to assess the prediction accuracy of our proposed framework. The result shows that our proposed framework is simple to apply in the real time system and prediction accuracy is also acceptable compared to the other models.
Correlations in low-dimensional systems

Stony Brook University Libraries. SBU Graduate School in Physics. Lawrence Martin (Dean of Graduate School), Alexei M. Tsvelik { Dissertation Advisor Professor, Department of Physics and Astronomy, Adam Durst { Chairperson of Defense Professor, Department of Physics and Astronomy, Dominik Schneble Professor, Department of Physics and Astronomy, Robert Konik Associate Scientist Brookhaven National Laboratory.
Psychosocial impact of caring for children with cerebral palsy on the family in a developing country

Abstract Having a child with cerebral palsy (CP) in developing countries of the world is particularly burdensome. This study investigated psychosocial impact on the family caring for a child with CP, examined possible association of severity of gross motor function impairment on the psychosocial impact and compared impact scores of families with CP child with that of families with no CP child. Participants consisted of 117 parents/caregivers of children with CP and 117 parents/caregivers of children without CP whose children attended purposively selected secondary and tertiary health institutions in South-West region of Nigeria. Impact on family (IOF) scale was used to assess psychosocial impact while gross motor function classification system for CP was used to rate severity of motor function impairment in children with CP. Participants were mostly of low income 59 (25.2%) and middle income 85 (36.3%) categories. Children were mostly in the 1–3 year age range 116 (49.6%). Birth asphyxia was most reported cause of CP and no social support service was reported. Significantly higher mean subscale and total IOF scores were observed in families with CP child (37.4 ± 8.91) compared with families with no CP child (20.8 ± 4.98) P = 0.000. Significant differences did not exist in mean total IOF scores and severity of motor function impairment in children with CP (P = 0.16). Presence of a child with CP imposes tremendous psychosocial challenges on the family irrespective of severity of motor function impairment. Implementation of an effective and accessible social support system by Nigerian policy makers is imperative.
Modelling parallel programs and multiprocessor architectures with AXE

AXE, An Experimental Environment for Parallel Systems, was designed to model and simulate for parallel systems at the process level. It provides an integrated environment for specifying computation models, multiprocessor architectures, data collection, and performance visualization. AXE is being used at NASA-Ames for developing resource management strategies, parallel problem formulation, multiprocessor architectures, and operating system issues related to the High Performance Computing and Communications Program. AXE's simple, structured user-interface enables the user to model parallel programs and machines precisely and efficiently. Its quick turn-around time keeps the user interested and productive. AXE models multicomputers. The user may easily modify various architectural parameters including the number of sites, connection topologies, and overhead for operating system activities. Parallel computations in AXE are represented as collections of autonomous computing objects known as players. Their use and behavior is described. Performance data of the multiprocessor model can be observed on a color screen. These include CPU and message routing bottlenecks, and the dynamic status of the software.
Virtual Cloud for Mobile Phones

Mobile phones are becoming the important part of human being’s life. Now a days mobile phones becomes a need of a user. Using it, a user not only receives and makes calls, but also performs information tasks. Every user wants to execute any application on top of a mobile device, regardless of its capabilities. But mobile phones lacks in resources compared to a conventional information processing device such as a workstation or a laptop. To alleviate this, a mobile phones should get resource from an external sources. One of such source is cloud computing. Nevertheless an access to this platform is not always guaranteed to be available/or is too expensive to access them. We try to propose that due to pervasiveness of mobile phones and enhancement in their capabilities this is feasible.
Accelerated Learning for Safety

Accelerated Learning principles, applied to safety training, can be very powerful tools especially when you consider the topics that safety trainers often try to teach. These are often life and death issues and the absorption and retention of this information is extremely important. Traditional safety training usually involves showing a video and then discussing the video as it relates to the company’s program and policies or showing a PowerPoint presentation, reading the slides to the audience and then handing out a quiz. Accelerated learning is much different. Accelerated learning is focused on the results – not the methods. Whatever learning tools work to increase and enhance learning can be called accelerated learning methods. Many safety professionals spend a good amount of their work week training others. Accelerated learning principles can help you spend less time creating training and can help trainees learn faster (and remember more) so accelerated learning applied to safety training can be a win-win situation for everyone.
Application of ICTs in collection development in private university libraries in Kenya

Purpose – The purpose of this study was to find out ways in which collection development practices in private university libraries in Kenya could be enhanced by the use of information and communication technologies (ICTs). Design/methodology/approach – This paper is based on research that was carried out on the application of ICTs in collection development in selected private universities in Kenya. The study was done using a survey method. Three universities and a total of 72 respondents were purposively selected for the study. The respondents included librarians, faculty deans and postgraduate students from the three universities.Findings – The findings indicated that ICTs were available in all the three selected universities but their application in collection development was not adequate in ensuring efficiency and in making sure that the library collections are effective in meeting the needs of the users.Originality/value – With the changing information environment and users' information needs, librarie.
Power quality data mining using soft computing and wavelet transform

This paper presents a new approach to power quality data mining using a modified wavelet transform for feature extraction of power disturbance signal data and a fuzzy multilayer perceptron network to generate the rules and classify the patterns. The choice of modified wavelet transform known as multiresolution s-transform is essential for processing very short duration nonstationary time series data from transient disturbances occurring on an electric supply network as they can not be handled by conventional Fourier and other transform methods for extraction of relevant features pertinent for data mining applications. The trained fuzzy neural network infers the output class membership value of an input pattern and a certainty measure is also presented to facilitate rule generation. Using the electric supply network disturbance data obtained from numerical algorithms and MATLAB software, the paper presents transient disturbance pattern classification scores. A knowledge discovery approach is also highlighted in the paper to convert raw power disturbance signal data to knowledge in the form of an answer module to the queries by the end-users. The pattern classification approach used in this paper can also be applied to speech, cardiovascular system and other medical and engineering databases.
Use of a two-layer compression system in severe bilateral leg lymphoedema with ulceration: A case report

Background: In this case report the authors present an individual with a medical history of severe bilateral leg lymphoedema, multiple bilateral ulceration, type 2 diabetes, and morbid obesity. Aim: To determine the efficacy of a commercially available compression system (Coban™ 2 Compression System; 3M) on an individual with severe bilateral leg lymphoedema, and multiple bilateral ulceration. Methods: Employing the Coban 2 Compression System toe-boot bandaging technique, objective and subjective data on leg volume, tissue compositional changes and wound healing were collected at baseline and three times per week over a 4-week follow-up period. Under-bandage pressures were controlled using a pressure monitor during bandage application. Results: The patient’s total limb volume decreased during treatment; circumference volume measurements showed a 3 L reduction in the left leg, and a 1.3 L reduction in the right leg. Limb volume decreased by 2.1 L in the left leg, and 2.1 L in the right. Bioimpedance spectroscopy data measured a reduction of 3.2 L in the left leg and 3.0 L in the right leg. Tissue fluids reduced by 55% in the superficial tissue of both calves during the intervention period. The reduction of the total wound size was 21.7 cm 2 in the left leg and 19.95 cm 2 in the right leg. Conclusion: Treatment with Coban 2 Compression System improved wound healing and decreased leg volume in the present case.
Dynamic arbitration of video conferencing flows by using MXQ mechanism

This paper discusses potential congestion problems caused by video conferencing applications. These applications commonly use UDP for their video and audio transmission. Unlike TCP, UDP does not have any standardized mechanisms for congestion control. Therefore, they might lead to severe congestion that would significantly degrade network utilization. To overcome this problem, we introduce a new flow-aware forwarding policy to enable dynamic arbitration control of UDP flows, and propose the MXQ (MaXimal Queuing) mechanism to realize the policy. A number of experiments were conducted by using a prototype to establish video conferencing applications. They include the large-scale trans-Pacific field trial conducted at the Fall 2002 Internet2 Member Meeting. The results show that the dynamic arbitration control realized by the MXQ mechanism can effectively control the congestion and enhance the effective use of best-effort networks.
Sentence-based machine translation for English-Thai

This paper proposes a combined method of machine translation in which rule-based techniques and and example-based techniques are applied to produce a new system for English-to-Thai sentence translation. The proposed method has the following four features: (1) analyzing an English sentence into an internal structure based on phrase structure grammar and mapping it onto that Thai equivalent sentence pattern; (2) analyzing the different sections found in input sentence and applying the specific rules for those distinguishing linguistic phenomena; (3) generating output sentences by looking up the bilingual dictionary for the equivalent words; and (4) ranking the possible combinations and eliminating the unacceptable translations. The translated sentences will be stored in a database for retrieving or using as a guide for translation.
Teamwork collaboration model of software integration testing and its characteristics

In this paper, the authors study the teamwork collaboration model between the development teams and testing teams for the software integration tests, which significantly affects the product quality and the development efficiency. The authors also discuss the basic process of the integration test, the required test tasks, responsibilities of testers,roles of any other relevant people, and the relationship among them. With the Unified Modeling Language (UML), the visualized models are given. Furthermore, the concept of life cycle of the software question report is introduced and its important role in the software quality assurance process is shown. Finally, the test results of software products are analyzed to show several features of the model.
Multiplexer Based Design for Ternary Logic Circuits

Ternary logic is a promising alternative to conventional binary logic, since it is possible to achieve simplicity and energy efficiency due to the reduced circuit overhead. In this paper a methodology for the design of ternary logic circuits based on Carbon Nanotube Field Effect Transistors (CNFETs) is presented. The proposed methodology is multiplexer based design. First a design of ternary multiplexer is presented. Then the proposed methodology for design of ternary logic circuits is presented. The proposed design methodology is used to implement 1-bit comparator and half adder circuits using SPICE. The proposed implementations are compared with the existing designs for parameters like delay, power etc. Simulation results indicate that the proposed multiplexer based 1-bit half adder design results in 27% delay reduction and 23% power delay product reduction when compared to the existing design. Keywords - CNFET; Ternary logic; Ternary Multiplexer