Miracle-dz/UniFAR-FTUs huggingface dataset:
Research Methods and Organization Studies

Glossary of abbreviations Preface The nature of organizational research Measurement in organizational research: questionnaires and structured interviews Experimental research Survey Research Qualitative research Case study and action research Archival research and secondary analysis of survey data Structured observation, simulation, language studies and other methods of Data collection Issues in organizational research Bibliography and author index Subject index
Jarvis, Digital Life Assistant

“Jarvis” was main character of Tony’s Stark’s life assistant in Movies Iron Man. Unlike original comic in which Jarvis was Stark’s human butler, the movie version of Jarvis is an intelligent computer that converses with stark, monitors his household and help to build and program his superhero suit. In this Project Jarvis is Digital Life Assistant which uses mainly human communication means such Twitter, instant message and voice to create two way connections between human and his apartment, controlling lights and appliances, assist in cooking, notify him of breaking news, Facebook’s Notifications and many more. In our project we mainly use voice as communication means so the Jarvis is basically the Speech recognition application. The concept of speech technology really encompasses two technologies: Synthesizer and recognizer. A speech synthesizer takes as input and produces an audio stream as output. A speech recognizer on the other hand does opposite. It takes an audio stream as input and thus turns it into text transcription. The voice is a signal of infinite information. A direct analysis and synthesizing the complex voice signal is due to too much information contained in the signal. Therefore the digital signal processes such as Feature Extraction and Feature Matching are introduced to represent the voice signal. In this project we directly use speech engine which use Feature extraction technique as Mel scaled frequency cepstral. The melscaled frequency cepstral coefficients (MFCCs) derived from Fourier transform and filter bank analysis are perhaps the most widely used frontends in state-of-the-art speech recognition systems. Our aim to create more and more functionalities which can help human to assist in their daily life and also reduces their efforts. In our test we check all this functionality is working properly. We test this on 2 speakers(1 Female and 1 Male) for accuracy purpose.
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees

We describe a method for visual object detection based on an ensemble of optimized decision trees organized in a cascade of rejectors. The trees use pixel intensity comparisons in their internal nodes and this makes them able to process image regions very fast. Experimental analysis is provided through a face detection problem. The obtained results are encouraging and demonstrate that the method has practical value. Additionally, we analyse its sensitivity to noise and show how to perform fast rotation invariant object detection. Complete source code is provided at https://github.com/nenadmarkus/pico.
Image sharpening via image denoising in the complex wavelet domain

The problem of image denoising has received more attention than the problem of image sharpening. In the paper, we propose that wavelet-based algorithms for image denoising can be used to perform image sharpening. Consequently, a variety of new image sharpening techniques becomes available. We examine the sharpening of natural images using an algorithm for image denoising with oriented complex 2D wavelets.
Trellis decoding of linear block codes

The purpose of this paper is the investigation of trellis decoding of linear block codes. The intersymbol relationship of convolutional codes makes the Viterbi algorithm ideally suited as a decoding strategy. By representing linear block codes in trellis form, the Viterbi algorithm can also be used to decode linear block codes. A distinct advantage of the Viterbi algorithm above traditional block decoders, is the existence of efficient soft decision algorithms employing channel measurement information. This paper will investigate a method of constructing trellises for block codes as well as the Viterbi decoding of block codes using these trellises. The proposed block trellis decoding technique will be supported with simulation results, comparing its performance with traditional methods such as syndrome decoding.
Back to parallel computation: Proposal for a completely new on-line simulation system using standard minicomputers for low-cost multiprocessing

This proposal suggests a novel and different system for fast on-line solution of the differential equa tions or difference equations describing a dynamical system (aerospace vehicle, ship, plant, physiologi caZ system, social/economic system, etc.). In an earlier study sponsored by the National Science Foundation, we have demonstrated beyond doubt that on-line, interactive, and scale-factor-free aZZ digital simulation, with a graphic solution display, is far more convenient than analog-hybrid computa tion. We now propose a simple multiprocessor system employing parallel operation of several inexpensive, standard, unmodified, minicomputers for faster on- line simulation at a cost dramatically lower than with conventional digital computers. The essential hardware features of the proposed system will be found in Section 2 of Part III and in Figure 3. Minicomputers specifically suitable for such multi processing are now mass-produced for a very large nonsimulation market; the proposed use of such commercially available components is a significant feature of our system, which will also draw on our laboratory's five years' experience with simulation software and display design.
Multiuser subcarrier allocation for OFDM transmission using adaptive modulation

A multiuser OFDM (orthogonal frequency division multiplexing) downlink transmission with adaptive modulation is considered. Assuming that the base station knows the instantaneous channel gains for all users, we propose an algorithm which minimizes the total transmit power by assigning, to each user, a set of subcarriers within an OFDM symbol and by determining, for each sub-carrier, the number of bits to be transmitted and the power level used. We obtained the performance of our proposed algorithm in a multiuser frequency selective fading environment with various root-mean-square (RMS) delay spread. The results show that our proposed algorithm outperforms conventional OFDM systems with or without optimal bit allocation using TDMA or FDMA as multiaccess techniques. We have also quantified the improvement in terms of the required transmit power, for fixed bit error rate.
Automatic Summarization: An Overview

Un resume est un texte concis qui rend compte du contenu essentiel d’un document par rapport a une tache determinee. Cet article donne un apercu de la recherche en resume automatique – la tâche qui vise a produire des resumes par ordinateur. Bien que les recherches en resume automatique aient debute dans les annees cinquante, il y a eu recemment un tres fort renouveau de l’interet dans ce domaine en raison de la quantite des textes disponibles en format numerique et en reaction aux efforts d’evaluation internationale. On introduit ici la notion de resume automatique et les techniques utilisees pour les produire. On presente des systemes de resume automatique disponibles aussi bien que des applications reels du resume. On discute le role des connaissances linguistiques dans le processus automatique et le probleme de l’evaluation.
Disparities in Cost and Access by Caseload for Arthroscopic Rotator Cuff Repair: An Analysis of 18,616 Cases

Background: Surgeon caseload has been shown to affect both health and economic outcomes in arthroscopic rotator cuff repair. Although previous studies have investigated disparities in access to care, little is known about disparities between low- and high-volume surgeons and facilities. Purpose: To identify where disparities may exist regarding access to high-volume surgeons and facilities. Study Design: Cross-sectional study. Methods: Univariate analysis was performed to analyze differences in the caseload between low- and high-volume surgeons and facilities. Cutoff values were set at 50 cases per year for high-volume surgeons and 125 cases annually for high-volume facilities. Multiple linear regression was then used to develop a cost model incorporating all variables significant under univariate analysis. We collected 18,616 cases with Current Procedural Terminology code 29827 (“arthroscopic rotator cuff repair”) from the 2014 Florida State Ambulatory Surgery and Services Databases. Results: A greater proportion of the caseload for low-volume surgeons and facilities was composed of patients who were of lower socioeconomic status, had government-subsidized insurance, or lived in areas with low-income ZIP codes. Low-volume surgeons and facilities also had higher total charges, higher postoperative admission rates, and lower distal clavicle excision rates (P < .001). In our cost model, a low facility volume significantly increased costs. Subacromial decompression, postoperative admission, distal clavicle excision, male sex, and government-subsidized insurance were all significant factors for increased costs in multivariate cost analysis. Conclusion: There are disparities in access to high-volume surgeons and facilities for patients undergoing arthroscopic rotator cuff repair in Florida. Patients with a lower socioeconomic status, government-subsidized insurance, and low income all faced decreased access to these high-volume groups. High-volume surgeons and facilities were associated with lower total charges, higher rates of distal clavicle excision, and lower readmission rates. Low-volume facilities added a significant amount of cost, even when controlling for all other significant variables. It is important for providers to be aware of these disparities and work to address them in their own practices.
Strengthening provision of essential medicines to women and children in post-Ebola Sierra Leone

www.jogh. org • doi: 10.7189/jogh.09. 010307 1 June 2019 • Vol. 9 No. 1 • 010307 Provision of essential medicines to end users is a critical component of many public health programs and one of six building blocks of the World Health Organization’s (WHO) Health Systems Framework [1]. However, in many countries, the supply chain and pharmaceutical systems remain weak and are costly to improve. We describe a novel quality improvement program for strengthening provision of essential medicines to women and children after the Ebola epidemic in one rural district in Sierra Leone through a public-private partnership between the Ministry of Health and Sanitation (MOHS) and the non-profit organisation, Partners In Health (PIH). To our knowledge, results from a comprehensive, multidisciplinary approach to strengthening supply chain and pharmaceutical systems have not previously been described.
Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study

Background The Oxford Acute Severity of Illness Score (OASIS) has shown fair prognosis predictive value in critically ill patients, but its predictive value has not been assessed in septic patients. Objective The aim of this study was to evaluate the performance of the OASIS for the assessment of mortality in septic patients, especially when compared with the Sepsis-related Organ Failure Assessment (SOFA) score. Methods A retrospective cohort study was conducted using data from a public database and septic patients were identified using the Sepsis-3 criteria. The primary outcome was hospital mortality. Data were mainly analyzed using multivariable logistic regression and receiver operating characteristic (ROC) curves. Sensitive analyses were performed in patients with an ICD-9-CM code for sepsis and ROC curves analyses were also conducted in septic patients stratified by the Simplified Acute Physiology Score (SAPS) II as subgroup analyses. Results A total of 10,305 septic patients were included. The OASIS was found to be significantly associated with hospital mortality (odds ratio 1.07 per one-point increase, 95% confidence interval [1.06–1.08]), while ROC curves analyses showed the discriminatory power of the OASIS for hospital mortality was statistically significantly lower than that of the SOFA score (area under the ROC curve: 0.652 vs 0.682, p < 0.001). Results of sensitive analyses were consistent, but the significant difference existed only when the SAPS II was higher than 50 according to results of the subgroup analyses. Conclusions The OASIS might serve as an initial predictor of clinical outcomes for septic patients, but one should be circumspect when it is applied to severer patients.
The research of the probabilistic characteristics of exhaust emissions from vehicle engines

The inﬂuence of the probability density of the average speed on the probability density of the speciﬁc road exhaust emissions has been analyzed in the paper. The characteristics of the exhaust emissions from internal combustion engines warmed up to normal operating temperature have been examined. The research has been carried out for characteristics of the exhaust emissions from internal combustion engines of passenger vehicles. The research has been carried out for two kinds of functions in the form courses of average speed: of constant and normal distribution. The Monte Carlo Method has been used in the research. The probability density of the speciﬁc road exhaust emissions has been estimated. The zero–dimensional characteristics: the median, the kurtosis and the skewness coefﬁcient, have been examined. A signiﬁcant regularity of the displacement of the probability density towards smaller values in relation to the average speed probability density has been ascertained.
A novel heptacoordinated cobalt(II) complex of 6,7-di­cyano­dipyridoquinoxaline (dcdpq): [Co(NO3)2(CH3CN)(dcdpq)]

The title complex, (aceto­nitrile)(6,7-di­cyano­dipyrido­[3,2-f;2,3-h]­quinoxine)­di­nitro­cobalt(II), [Co(NO3)2(C2H3N)(C16H6N6)], crystallizes in the monoclinic system with space group P21. The CoII center is heptacoordinated by two N atoms of the pyridine moieties, four O atoms of two nitrate anions and one N atom of a CH3CN mol­ecule. The crystal structure reveals that the CoN3O4 coordination sphere has a distorted pentagonal-bipyramid geometry.
Teen Culture, Technology and Literacy Instruction: Urban Adolescent Students' Perspectives.

Modern teens have pervasively integrated new technologies into their lives, and technology has become an important component of teen popular culture. Educators have pointed out the promise of exploiting technology to enhance students’ language and literacy skills and general academic success. However, there is no consensus on the effect of technology on teens, and scant literature is available that incorporates the perspective of urban and linguistically diverse students on the feasibility of applying new technologies in teaching and learning literacy in intact classrooms. This paper reports urban adolescents’ perspectives on the use of technology within teen culture, for learning in general and for literacy instruction in particular. Focus group interviews were conducted among linguistically diverse urban students in grades 6, 7 and 8 in a lower income neighborhood in the Northeastern region of the United States. The major findings of the study were that 1) urban teens primarily and almost exclusively used social media and technology devices for peer socializing, 2) they were interested in using technology to improve their literacy skills, but did not appear to voluntarily or independently integrate technology into learning, and 3) 8th graders were considerably more sophisticated in their use of technology and their suggestions for application of technology to literacy learning than 6th and 7th graders. These findings lead to suggestions for developing effective literacy instruction using new technologies.
Quantitative Data Analysis with SPSS

"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis. " Primary Health Care Research and Development "The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text . with the purpose of giving them a foundation in statistics. " William Evans, Institute of Technology Tralee, Ireland This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS. The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data. Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease. Topics covered include: Questionnaires and how to analyse them Coding the data for SPSS, setting up an SPSS database and entering the data Descriptive statistics and illustrating the data using graphs Cross-tabulation and the Chi-square statistic Correlation: examining relationships between interval data Examining differences between two sets of scores Reporting the results and presenting the data Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.
Indoor localization in wireless sensor network using fingerprintin method

La tesi ha avuto come oggetto l'implementazione e la valutazione delle performance di un metodo per la localizzazione geografica indoor sfruttando reti di sensori. Tale metodo, chiamato Fingerprinting, e stato usato solo in reti WI-FI, mai in reti di sensori
SDPA (SemiDefinite Programming Algorithm)

The SDPA (SemiDeﬁnite Programming Algorithm) is a software package for solving semideﬁnite program (SDP). It is based on a Mehrotra-type predictor-corrector infeasible primal-dual interior-point method. The SDPA handles the standard form SDP and its dual. It is implemented in C++ language utilizing the Meschach [9] for matrix computation. The SDPA incorporates dynamic memory allocation and deallocation. So, the maximum size of an SDP to be solved depends on the size of computational memory which user’s computer loads. The SDPA version 5.00 enjoys the following features:
Proposal and Analysis of a FitzHugh-Nagumo Neuronal Circuit

Abstract In this work, we present an original implementation of a circuit to perform the analog simulation of the FitzHugh-Nagumo neuron model. The proposed circuit is tested for different stimulation patterns and provides results very similar to those derived from a more widespread digital computation approach, with a significantly better performance in terms of processing time and a noticeable robustness to parameter modification. Moreover, the results also reveal the possibility of chaotic behavior for distinct experimental setups, which may be essential for the process of learning and perception in biological systems.
Case Study of Corpus-Informed Online Academic Writing for EFL Graduate Students

Research articles (RAs) have been recognized as a distinct genre in the English-using discourse community because of their unique writing conventions. Despite the great number of studies on the analysis of the textual or phrasal aspects of abstracts of RAs, few have been transformed into actual teaching materials for EFL graduate students. The purpose of this study is to extend the results of abstract analysis to the development of online course content for the explicit teaching of abstract writing in Applied Linguistics. Results of the comparison of patterns found in the corpora of 50 abstracts of RAs published in journals and 50 abstracts of papers given at conferences--written by novice, nonnative writers--to patterns in a learner corpus formed the core of the online course content, along with principles of L2 writing and CALL task design. An academic concordancer and a synchronous peer review tool were incorporated into the Moodle-based course. Formative evaluation of the unit on abstract writing was conducted with 35 students. The abstract-writing unit was then incorporated into an academic writing course in which the analysis of students' writing samples demonstrated some improvement in their writing. The study suggests that corpus-informed online instruction that includes learner corpus insights can facilitate EFL academic writing.
Information Systems: A Management Perspective

1. The Challenge of Applying IT Successfully. 2. Basic Concepts for Understanding Systems. 3. Business Processes. 4. Information and Databases. 5. Communication, Decision Making, and Different Types of Information Systems. 6. Customer, Product, and Competitive Advantage. 7. Human and Ethical Issues. 8. Computer Hardware. 9. Software, Programming, and Artificial Intelligence. 10. Networks and Telecommunications. 11. Information Systems Planning. 12. Building and Maintaining Information Systems. 13. Information System Security and Control.
Performance Comparison of Cell Averaging and 'Greatest-of' Constant False Alarm Rate (CFAR) Methods.

Abstract : Radar system detection procedures involve the comparison of a received signal to a threshold value. A fixed threshold is not successful in controlling the false alarms because of changing interference conditions such as noise, clutter, and jammers. Consequently, an adaptive threshold is frequently used to establish a constant false alarm rate (CFAR). The maximum likelihood cell averaging approach is one of the adaptive procedures. The cell averaging CFAR is of major importance because it has superior performance in homogeneous Gaussian noise. Unfortunately, nonhomogeneous interference such as that produced at chaff and clutter edges will degrade the performance of the cell averaging CFAR. The search for a CFAR method which can control the false alarms resulting from clutter edges has produced a modification to the cell averaging approach which is known as the 'greatest-of' CFAR. This effort compared the performance of the cell averaging and 'greatest-of' CFAR methods for different processor configurations. The performance comparison was made based on probabilities of false alarm and probabilities of detection determined by a Monte Carlo simulation. -of', and log/CFAR, a performance comparison of the cell averaging and 'greatest-of' CFAR techniques, and a summary of the results with recommendations for future effort. The performance of the two CFAR methods is independent of the detector. The cell averaging gives better detection performance in an interfering target environment, while the 'greatest-of' provides better false alarm regulation in a nonhomogeneous interference environment. (Author)