Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictive Model for the Academic Performance of the Engineering Students Using CHAID and C 5.0 Algorithm

Many engineering students in Technological University of the Philippines Manila (TUPM) were either dropouts or dismissed from the engineering program they enrolled in. The dismissal or dropping out of students resulted to wastage of the scarce resources of the government and deprived the opportunity of the other students. TUPM needs to increase the retention rate to lessen the number of students who will drop out, on probation or be dismissed from College of Engineering (COE). Predictive modeling could be one of them. It is used to detect student behavior, predicting or understanding student educational outcome. It is one of the current popular method in Educational Data Mining (EDM). EDM is a field of scientific inquiry for the development of method to discover unique kind of data in educational settings, and using this method to understand better the students and their learning environment. As such, the study aimed to develop and validate a predictive model that will serve as a framework in predicting the academic performance of the engineering students towards an improved retention rate at TUPM. The research design of the paper was descriptive-quantitative. The data of the engineering students’ final grades from school year 2008 2015 were gathered from the Electronics Registration System of TUPM. The dataset was divided into two sets: training and testing set. The training set was used to build and validate two decision tree algorithms namely, C5.0 and Chi-squared Automatic Interaction Detection (CHAID), using IBM SPSS Modeler Version 18.0 based on their overall accuracy and tenfold cross validation. To determine their significant difference, t-test was used. Furthermore, the testing set was used to evaluate C5.0 and CHAID on their overall accuracy, sensitivity and specificity. Based on the result of the overall accuracy it was found out that C 5.0 was slightly higher than CHAID and both were valid. However, the predicted model is CHAID based on the evaluation of the two algorithms. Hence, CHAID was the best early warning system for TUPM to detect the students who are academically at risk. As such, the study concludes that CHAID modeling algorithm suited best as the predictive model for identifying students who were likely to be retained in the COE program and those who were academically at-risk.
ANALYSIS OF QTL DATA

Introduction Statistical computational techniques have developed to analyse and map QTL in plant species. The method involves crossing two independently inbred parental strains that are phenotypically widely different from one another in respect of several quantitative traits and then analysing the genome of a number say (50 to 100) of the recombinant hybrids using complete series of mapped and ordered RELP probes to determine in each of the hybrids which segments have been inherited from one parent and which from the other. The phenotype of each hybrid with respect to quantitative trait is then compared with the RFLP-based genome –analysis data to determine statistically which segments of the genome contribute significantly to the ultimate phenotype and therefore are likely to harbor QTLs. High density RFLP linkage maps are the technological tools needed to efficiently map QTLs. Such markers are typically dispersed at 1-30 centimorgan (CM) intervals throughout the genome. Such high density map increase the chances of findings QTLs. There are basically two types of genetic models for detection of QTLs: (a) individual marker models and (b) flanking marker models. In the former , there is a cosegregation of a QTL marker locus linked to a QTL, whereas in the latter, a QTL lies between linked codominant marker loci.The latter models referred to as INTERVAL MPAPPING AND COMPOSITE INTERVAL MAPPING are more efficient than the former ones fo estimating the effects of QTLs.
Time-Periodic Feedback Stabilization for an Ensemble of Half-Spin Systems

Abstract Feedback stabilization of an ensemble of non interacting half spins described by Bloch equations is considered. This system may be seen as a prototype for infinite dimensional systems with continuous spectrum. We propose an explicit feedback law that stabilizes asymptotically the system around a uniform state of spin +1/2 or -1/2. The closed-loop stability analysis is done locally around the equilibrium. The local convergence is shown to be a weak asymptotic convergence for the H 1 topology. The proof relies on an adaptation of the LaSalle invariance principle to infinite dimensional systems. Numerical simulations illustrate the efficiency of these feedback laws, even for initial conditions far from the equilibrium
The Trinity of Market Participants: Taking Sides on Return Predictability

We study how various investors trade with respect to 131 stock return anomalies. Retail investors and institutions accumulate shares in stocks that become anomaly-shorts and reduce holdings in stocks that become anomaly-longs. In contrast, firms that issue shares become anomaly-shorts and firms that repurchase shares become anomaly-longs. All three types of investors continue to trade in the same direction once anomaly information is public. Retail buys are associated with lower future stock returns, institutional trades do not predict returns, while firm trades predict returns in the intended direction. The results suggest that firms are the smart money.  McLean (dm1448@georgetown.edu) is at Georgetown. Pontiff (pontiff@bc.edu) and Reilly (reillydr@bc.edu) are at Boston College. 1 We study how retail investors, institutions, and firms trade with respect to variables that have been shown to predict the cross-section of stock return returns (anomalies). Research on stock return anomalies is now at least half a century old, beginning with Ball and Brown (1968) and Blume and Husic (1973). The literature shows that simple cross-sectional sorts based on easyto-observe characteristics such as earnings surprises (Foster, Olsen, and Shevlin, 1984) and recent past returns (Jegadeesh and Titman, 1993) can forecast stock returns. McLean and Pontiff (2016) find that post-publication anomaly returns decay, but continue to predict returns. How retail investors and firms trade with respect to anomaly strategies is an unexplored question. Lewellen (2011), Edelen, Ince, and Kadlec (2016), and Calluzzo, Moneta, and Topaloglu (2017) provide some mixed evidence on how institutions trade with respect to some of the more popular anomalies. We provide a comprehensive study of how the three major market participants trade with respect to what is virtually the entire universe of documented anomalies. We report findings for all three investor groups that are novel to the literature. Our findings can be summarized as follows. Using a comprehensive index based on 131 anomaly variables, we find that retail investors and institutions both accumulate positions in stocks that end up being anomaly-shorts, and reduce holdings in stocks that end up being anomaly-longs. That is, stocks for which there is retail and institutional net buying (selling) over 1-year and 3-year periods prior to time t, end up as anomaly-shorts (longs) at time t. This finding is consistent with the idea that retail and institutional investors accumulate (reduce) positions in overpriced (underpriced) stocks, and may even contribute to the mispricing that causes stock return anomalies. Firms do the opposite. Firms that issue shares end up being anomaly-shorts,
Backstepping-Based Estimation of Thermoacoustic Oscillations in a Rijke Tube With Experimental Validation

We investigate the state observer design problem for thermoacoustic instabilities in a Rijke tube using an infinite dimensional perspective. The observer, whose design is based on the backstepping methodology with Volterra and full integral terms, consists of a copy of the linearized plant model plus output injection terms and relies only on a single boundary acoustic pressure sensor. The exponential convergence, in the $L_{2}$ sense, of the observed error dynamics is proved, and the analytic expression of the observer gains are derived explicitly. The results are tested in an experimental Rijke tube prototype in order to illustrate the effectiveness of the method.
Correlation of Stable Elevations in Striatal μ-Opioid Receptor Availability in Detoxified Alcoholic Patients With Alcohol Craving

Main Outcome Measures: After 1 to 3 weeks of abstinence, the availability of μ-opiate receptors in the ventral striatum, including the nucleus accumbens, was significantly elevated in alcoholic patients compared with healthy controls and remained elevated when 12 alcoholic patients had these levels measured 5 weeks later (P .05 corrected for multiple testing). Higher availability of μ-opiate receptors in this brain area correlated significantly with the intensity of alcohol craving as assessed by the OCDS.
Analysis of Low Frequency Grid Current Harmonics Caused by Load Power Pulsation in a 3-Phase PFC Rectifier

This paper investigates implications of Low-Frequency (LF) phase current distortions that emanate from a grid-connected three-phase PFC rectifier, which powers a single-phase load inverter via a common DC-link. The presented study reveals the computation of the grid-side distortions that result for LF operation of the load inverter and determines the limits of the allowable distortion currents imposed by relevant standards (IEC 61000-3-11 and IEC 61000-3-12 with regard to harmonic currents and flicker, respectively). In the course of a design example, a PFC rectifier with a rated power of 20 kW and a DC-link voltage of 700 V is examined and it is found that, in case of a strong grid with an inner impedance of 21 m Ω, full compliance with IEC 61000 is achieved with a DC-link capacitance of 27 mF. However, in case of a weak grid with an assumed inner impedance of 212 m Ω, a very high DC-link capacitance exceeding 50 mF would be required. In this case, the presented design procedure is rather used to identify the frequency-dependent power limitation characteristic that enables the implementation of deratings in critical frequency ranges.
Investigation of the Complex Data Distributions for their Efficient Generation

Currently, the active development of image processing methods requires large amounts of correctly labeled data. The lack of quality data makes it impossible to use various machine learning methods. In case of limited possibilities for collecting real data, used methods for their synthetic generation. In practice, we can formulate the task of the high-quality generation of synthetic images as an efficient generation of complex data distributions, which is the object of study of this work. Generating high-quality synthetic data is an expensive and complicated process in terms of existing methods. We can distinguish two main approaches that are used to generate synthetic data: image generation based on rendered 3-D scenes and the use of GANs for simple images. These methods have some drawbacks, such as a narrow range of applicability and insufficient distribution complexity of the obtained data. When using GANs to generate complex distributions, in practice, we face a visible increase in the complexity of the model architecture and training procedure. A deep understanding of the real data complex distributions can be used to improve the quality of synthetic generation. Minimizing the differences in the real and synthetic data distributions can improve not only the generation process but also develop tools for solving the problem of data lack in the field of image processing.
Of Mice and Men: A Review of Dietary Murine Models of Nonalcoholic Fatty Liver Disease (NAFLD) and How It Correlates to Human Disease

Nonalcoholic fatty liver disease (NAFLD), is a problem of increasing significance worldwide and is comprised of a spectrum of disease from hepatic statuses to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis and even hepatocellular carcinoma (HCC). NAFLD has become one of the most common causes of liver disease and is related to the increasing prevalence of obesity, diabetes, hyperlipidemia and sedentary lifestyle. As there are no approved medical treatments for NAFLD at this time and the information is limited regarding the molecular mechanisms driving disease progression there has been extensive research using murine models of NAFLD to mimic the human disease. Furthermore, there is a paucity of molecular markers that can reliable predict NAFLD and the progression within this spectrum of disease to endstage liver disease. This article will review the different dietary murine models of NAFLD and how they relate to human NAFLD and longitudinal means of measuring disease prediction and progression.
THE AGGREGATE EFFECTS OF CREDIT MARKET FRICTIONS: EVIDENCE FROM FIRM-LEVEL DEFAULT ASSESSMENTS TIMOTHY BESLEY, ISABELLE ROLAND AND JOHN VAN REENEN The Aggregate Effects of Credit Market Frictions: Evidence from Firm-level Default Assessments∗

This paper develops an approach to studying the implications of credit market frictions for aggregate output and productivity. Using a model of credit contracts with moral hazard, we show that a firm’s probability of default (PD) is a suffi cient statistic for capital allocation. The theoretical framework suggests an aggregate measure of credit market ineffi ciencies based on firm-level probabilities of default. The most novel feature of the approach is that we can take the theory to the data using estimates of firm-level probabilities of default calculated with Standard and Poor’s own algorithmic “PD Model” software. We use the UK as a case study as it was hit particularly hard by the 2008-09 Great Recession. We merge PD estimates with firm-level administrative data on output, employment, and investment and show a strong correlation between PDs and a firm’s future survival, employment and investment. Using the theory and data, we find that credit frictions cause a loss of between 3% and 5% of GDP on average per year in 200412. These frictions increased during the crisis accounting for between 11% and 18% of the productivity fall in 2008-2009. The frictions also lingered after the Great Recession and account for around one fifth of the gap between actual and trend productivity by the end of 2012.
Commissions and Investment Adviser Misconduct

I study the investment advisory industry to analyze the relation between commissions and financial misconduct. I exploit quasi-exogenous changes in individual investment advisers’ compensation arrangements caused by mergers between large registered investment advisory firms. The experimental design allows for a rich set of controls, ruling out firmand market-level effects. The opportunity to earn sales commissions significantly increases the number of advisers who engage in misconduct. I find that advisers are more likely to engage in misrepresentation, consistent with the hypothesis that commissions bias advice. Damages paid out in claims involving commission-motivated advisers are $25,013 greater than other claims. Overall, I find that the rent-seeking motive for commissions dominates the information-gathering motive. ∗Patel: Foster School of Business, University of Washington, Department of Finance and Business Economics; email: tarun625@uw.edu. I would like to thank my dissertation committee members, Ran Duchin (Chair), Jonathan Karpoff, Edward Rice, and Stephan Siegel for their guidance and support. For helpful comments and suggestions, I thank Philip Bond, Nicole Boyson, Jonathan Brogaard, Will Gerken, Thomas Gilbert, Jarrad Harford, Jennifer Koski, Christopher Parsons, Denis Sosyura, Léa Stern, Mark Westerfield, Michael Wittry, Yao Zeng, and seminar participants at the University of Washington Finance Ph.D. student seminar. All remaining errors are my own.
Securing Mobile Technology of GSM using A5/1 Algorithm

- The security and the authentication mechanism are very important in mobile networks since the GSM networks are susceptible to several attacks aiming to penetrate the conversation and access to data transmitted through the network. The mechanisms involved in security used to protect subscribers and service providers. The main aspects of the system that need protection are described, provided with the implementation of mechanisms used for the protection. The authentication mechanisms may even be attacked. Either by having physical access to the smart card or over the air interface, it is possible to clone a subscription. Base station functionality is required to clone a subscription over the air. Eavesdropping is the most evident threat against communication systems. The users on GSM network are provided with the GSM security and encryption algorithms for authentication and radio link privacy. One of the elements of the GSM network security is the encryption algorithm where it depends on the encryption algorithm A5/1 which is the strong encryption algorithm used for encryption of conversations on GSM mobile phones. The structure of this algorithm depends on the block cipher. The aim of this thesis is to improve GSM network security in order to overcome the weakness which appears in clocking mechanism that used in A5/1 stream cipher. New S-box generation is proposed to improve the efficiency of A5/1 majority function. The output bit-stream generated by the proposed stream cipher improves the performance.
IMAGE UPSAMPLING WITH RANDOMIZED INTERPOLATION

A new method for upsampling of bitmap images based on randomized interpolation is described. A problem of aliasing, visibility of digital artifacts and accuracy of image analysis is discussed from the viewpoint of the nature of quantization error. A possibility of obtaining a noise-like residual error and attenuation of regular artifacts by the method proposed is demonstrated.
NURBS rendering in OpenSG Plus

Most of the industrial parts are designed as trimmed NURBS. To-day’s graphics hardware supports the high-speed display of polygonal objects consisting of triangles. This means that analytical surfaces (like NURBS) need to be triangulated so they can be displayed by 3D graphics cards. To be able to control the quality of the tesselated model, the triangulation should be carried out with a given error torelance. Currently available methods make it possible to achieve approximation of the surface in 3D space with a given error and to polygonize the trimming curves with another given error, but only in the parameter space of the surface. From this fact follows that there exists no error control of the trimming curves in Euclidean space, which can result in cracks along the trimming curves in case of models consisting of more than one surface - and models usually consist of several hundreds or thousands of surfaces. Our new method introduced in this paper takes care of this problem, i.e. it can guarantee the geometric error along the trimming curves. This makes also possible to sew these surfaces together along their borders. Several examples of industrial data 1 demonstrate the applicability of our new method. The introduced techniques will also be included into the OpenSG scenegraph API as the basic tool for NURBS rendering.
GRADUATE RESEARCH IN EDUCATION (GREDUC 2013)

The aim of this study was to investigate the relationships between duration of marriage and marital adjustment in a sample of married postgraduate Iranian students in Malaysia. As the popularity of studying in Malaysia among Iranian students at postgraduate level . is increasing, more studies are needed among this population. An online self-administered questionnaire conducted to assess the studied variables. Data collected from 220 married students who were selected randomly to participate in the study through their email addresses. The respondents were questioned about their demographic information and completed Locke-Wallace Marital Adjustment Test (LWMAT; Locke & Wallace, 1959). Data analysis provided information about frequencies, percentages, mean scores and Pearson's correlation. The results disclosed that there was no correlation between length of marriage and marital adjustment. It indicates that marital adjustment remained fairly stable over time.
Brief Report

Department of Medical Genetics, Genome-Scale Biology Research Program, and Department of Pathology, Haartman Institute, University of Helsinki, Helsinki, Finland; Department of Pathology, Department of Oncology, and Laboratory of Genetics, Helsinki University Central Hospital, Helsinki, Finland; Department of Medical Biochemistry and Genetics, University of Turku, Turku, Finland; and Department of Clinical Genetics, Turku University Hospital, Turku,
patient-rated functioningandwell-beingin patients treatedwithrisperidone. Method In a1-year, open-label, inter- nationalmulticentre trial of long-acting risperidone in 615 stable adult patients with schizophrenia, self-rated functioning

Declaration of interest W.W. F. has receivedresearch support, consultancy honoraria and fees from Astra Zeneca, BMS,Eli Lilly,Janssen,Otsuka,Pfizer and Sanofi Synthelabo. J.R. hasreceivedhonoraria and travel support from Johnson and Johnson and othermanufacturers of antipsychotics.G. K. has receivedresearch support from Janssen.M. E. is an employee of Johnson and Johnson,Belgiumand A.M.of Janssen-Cilag,Germany. The vulnerability of patients with long-term mental illness to reduced levels of satisfaction with their living situation, family and social relations, leisure activities, work, finances, safety and health, compared with the general population, has been recognised for many years (Lehman et al, 1982). Although there have been advances in treatment following the introduction into clinical practice of the novel antipsychotic drugs, concerns about patients’ functioning and well-being are still valid today (Bengtsson-Tops & Hansson, 1999; Doyle et al, 1999; Aksaray et al, 2002), particularly in those with residual symptoms and in those who have not achieved an optimal response to treatment (Kane, 1999). Improvement in these outcomes is therefore an important dimension of successful treatment alongside symptom improvement. Our study examined selfrated functioning and well-being among clinically stable patients with schizophrenia during a year-long trial that evaluated the long-term safety and efficacy of longacting risperidone, and investigated the relationship between subjective functioning, well-being and objective measures of schizophrenia symptoms.
Comparative Genomics of Actinobacillus pleuropneumoniae Serotype 8 Reveals the Importance of Prophages in the Genetic Variability of the Species

Actinobacillus pleuropneumoniae is the etiologic agent of porcine pleuropneumonia. Currently, there are 18 different serotypes; the serotype 8 is the most widely distributed in the United States, Canada, United Kingdom, and southeastern Brazil. In this study, genomes of seven A. pleuropneumoniae serotype 8 clinical isolates were compared to the other genomes of twelve serotypes. The analyses of serotype 8 genomes resulted in a set of 2352 protein-coding sequences. Of these sequences, 76.6% are present in all serotypes, 18.5% are shared with some serotypes, and 4.9% were differential. This differential portion was characterized as a series of hypothetical and regulatory protein sequences: mobile element sequence. Synteny analysis demonstrated possible events of gene recombination and acquisition by horizontal gene transfer (HGT) in this species. A total of 30 sequences related to prophages were identified in the genomes. These sequences represented 0.3 to 3.5% of the genome of the strains analyzed, and 16 of them contained complete prophages. Similarity analysis between complete prophage sequences evidenced a possible HGT with species belonging to the family Pasteurellaceae. Thus, mobile genetic elements, such as prophages, are important components of the differential portion of the A. pleuropneumoniae genome and demonstrate a central role in the evolution of the species. This study represents the first study done to understand the genome of A. pleuropneumoniae serotype 8.