Miracle-dz/UniFAR-FTUs huggingface dataset:
Continuous Deployment ofMachine Learning Pipelines

Today machine learning is entering many business and scientific applications. The life cycle of machine learning applications consists of data preprocessing for transforming the raw data into features, training a model using the features, and deploying the model for answering prediction queries. In order to guarantee accurate predictions, one has to continuously monitor and update the deployed model and pipeline. Current deployment platforms update the model using online learning methods. When online learning alone is not adequate to guarantee the prediction accuracy, some deployment platforms provide a mechanism for automatic or manual retraining of the model. While the online training is fast, the retraining of the model is time-consuming and adds extra overhead and complexity to the process of deployment. Wepropose a novel continuous deployment approach for updating the deployed model using a combination of the incoming realtimedata and thehistorical data.Weutilize sampling techniques to include the historical data in the training process, thus eliminating the need for retraining the deployed model. We also offer online statistics computation and dynamic materialization of the preprocessed features, which further reduces the total training and data preprocessing time. In our experiments, we design and deploy two pipelines and models to process two real-world datasets. The experiments show that continuous deployment reduces the total training cost up to 15 times while providing the same level of qualitywhen compared to the state-of-the-art deployment approaches.
THE MAPPING ACCURACY OF LOW-COST UAV- BASED LASER SCANNER SYSTEM: A CASE STUDY OF HOKUYO UTM30LX LASER SCANNER

A cheap, compact, lightweight UAVbased laser scanner system was developed. The developed system, powered by Pin Lithium Polymer (LiPo), consists of a hex-rotor aircraft DJI S800 with the 3-axis gimbal (TAROT 5D) carrying the Hokuyo UTM30LX laser scanner, an ultra-small motion logger (Ninja Scan Light), GPS receiver and a single-board PC (Raspberry Pi). The test flights in Kumamoto prefecture had been performed in 2014. The point clouds were collected with the setting of a 〖100〗^0 of field of view and 〖0.25〗^0 of angular resolution at the height of about 7 meters from the ground surface. There were 9 markers arranged within the study area. Their coordinates were measured with total station and used as reference value for accessing the accuracy of generated 3D laser point clouds. The locations of markers were identified, and their observed coordinates were manually measured from the intensity image of observation data. By using magnetic data for determining flight direction and applying Helmert transformation with four ground control points, the developed system could achieve a mapping accuracy of 0.04 m in both horizontal and vertical direction. The results show the capability of generating a largescale map with the low-cost UAVbased laser scanner system.
Educational Mismatch and Wages in Germany

This paper contributes to the literature considering the wage effects of educational mismatch in Germany. It uses a large German panel data set for the period from 1984 to 1997 and stresses the importance of controlling for unobserved heterogeneity when analyzing the labor market effects of over- and undereducation. Using pooled OLS, the estimation results confirm those found in the existing literature. The estimated differences between adequately and inadequately educated workers become smaller or disappear totally, when controlling for unobserved heterogeneity. In contrast to the common results using only cross-sectional data, the human capital model could not be rejected once controlling for unobserved heterogeneity.
Household Portfolio Choice, Reference Dependence, and the Marriage Market

This paper bridges the financial market and the marriage market using a reference-dependent mechanism. Male-biased sex ratios induce families with sons to hold more risky assets, since competitive marital payment in a tight market raises the reference level of marriage expenditure for such families. Using the 2013 China Household Finance Survey data, we find that a 0.1 increase in the sex ratio raises the probability of participating in the stock market by 25.7 percent, or the stock share of liquid wealth by 42.7 percent for families with a son; there appears no effect for families with a daughter.
Conditional Skewness and Kurtosis in GARCH Model

This paper proposes the GARCH with skewness and kurtosis (GARCHSK) model for estimating time-varying conditional variance, skewness and kurtosis. My model is based on the assumption that error terms follow a distribution of Gram-Charlier series expansion of the normality, in which conditional skewness and kurtosis are parameters can be used directly. I apply the method to financial daily returns of Nordic exchange market. Parameters are estimated through MLE by BHHH algorithm. The results indicate the performance of conditional skewness and kurtosis.
A descriptive Survey on Teachers’ Perception of EFL Writing and Their Practice of Teaching Writing: Preparatory Schools in Jimma Zone in Focus.

In order to examine the perception about writing and the practice of teaching the skill among English language teachers at preparatory schools in Jimma Zone (Agaro, Asendabo, Jimma, Limu Genet, Sekoru and Toba), data were collected from nineteen teachers and two hundred and ninety-five students through questionnaires. Classroom observations were also conducted to find additional information from the actual teaching learning encounters. Data were analyzed quantitatively and qualitatively. The findings show that, due to teachers’ failure to put into classroom practice their beliefs about the nature of writing and how it should be taught, writing is given little attention and is taught inappropriately. In other words, the study demonstrated that teachers’ perception of writing and their practice of teaching the skill are loosely correlated. Based on these findings, it is recommended that: 1) preparatory school English language teachers need to give enough attention to writing in their instruction, 2) they should also develop practical skills and put into action their beliefs regarding writing and its teaching, and 3) the Ministry of Education and other responsible bodies need to offer trainings to preparatory school English language teachers on the implementation of the process approach to writing. Key Terms: Perception, belief, practice
Mass Transfer and Intrinsic Light Variability in the Contact Binary MT Cas

First CCD photometry for the contact binary MT Cas is performed in 2013 in December. The spectral type of F8V is determined from the low-precision spectrum observed on 2018 Oct 22. With Wilson-Devinney code, the photometric solutions are deduced from VRc light curves (LCs) and AAVSO’s and ASAS-SN’s data, respectively. The results imply that MT Cas is a W-type weak-contact binary with a mass ratio of q=2.365(±0.005) and a fill-out factor of f=16.6(±1.2)%, respectively. The asymmetric LCs in 2013 are modeled by a dark spot on the more massive component. By analyzing the (O-C) curve, it is discovered that the orbital period may be undergoing a secular increase at a rate of dP/dt=1.12(±0.09)×10-8d yr-1, which may result from mass transfer from the less massive component to the more massive one. With mass transferring, MT Cas may evolve into a broken-contact configuration as predicted by TRO theory.
The Rise of Precarious Employment in Germany

Long considered the classic coordinated market economy featuring employment security and relatively little employment precarity, the German labor market has undergone profound changes in recent decades. We assess the evidence for a rise in precarious employment in Germany from 1984 to 2013. Using data from the German Socio-Economic Panel (SOEP) through the Luxembourg Income Study, we examine low-wage employment, working poverty, and temporary employment. We also analyze changes in the demographics and the education/skill level of the German labor force. Although employment overall has increased, there has been a simultaneous significant increase in earnings and wage inequality. Moreover, there has been a clear increase in all three measures of precarious employment. The analyses reveal that models including a wide variety of independent variables – demographic, education/skill, job/work characteristics, and region – cannot explain the rise of precarious employment. Instead, we propose institutional change is the most plausible explanation. In addition to reunification and major social policy and labor market reforms, we highlight the dramatic decline of unionization among German workers. We conclude that while there are elements of stability to the German coordinated market economy, Germany increasingly exhibits substantial dualization, liberalization, inequality, and precarity.
The correspondence between binary quadratic forms and quadratic fields

This document is the final report for a master semester project, whose goal was to study in detail the beautiful connection between integral binary quadratic forms and quadratic fields, along with its uses in these two settings. To do so, we begin by studying integral binary quadratic forms and the number-theoretic questions associated: which integers are represented by a given form/set of forms, how many representation does an integer admit by a given form/set of forms and so on. Doing so, we study in depth the equivalence of forms and the theories of reduction of definite and indefinite forms developed by Gauss. Class numbers of quadratic forms and their links with representation questions are introduced. Then, we recall some results about orders in the rings of integers of quadratic fields and we show how (classes) of forms can be associated to (classes) of ideals in such orders and vice-versa. Combining these results, we give the precise correspondence between classes of forms and narrow Picard groups of orders in quadratic fields. In the third chapter, we work on the correspondence obtained to transpose and answer questions from one setting to the other. The composition law on binary quadratic forms discovered by Gauss is derived from the group structure of Picard groups using the correspondence. We introduce how Manjul Bhargava recovered Gauss composition law in an elementary manner and how he generalized it to higher order spaces of forms. We show how to determine Picard groups of orders in quadratic fields (in particular ideal class groups and class numbers) very easily from the perspective of forms. These ideas are used to give tables summing up the correspondence for the first form discriminants. Working in the context of forms, we also present a proof of the class number one problem for even negative discriminants. Then, we study units in orders of rings of integers of quadratic fields, automorphisms of forms and show how they are closely related. We count the number of representations of an integer by the set of classes of forms of a given discriminant in two ways: working in quadratic fields thanks to the correspondence and without the latter, working in the point of view of forms. Doing so, we illustrate how insightful the correspondence is. After obtaining a closed formula for the number of representations of an integer by binary quadratic forms of given discriminant, we derive the Dirichlet class number formula from it, using an estimation by a L-series and a lattice point counting argument, again using the two settings of binary quadratic forms and quadratic fields.
MOLECULAR DETECTION AND CHARACTERIZATION OF ESCHERICHIA COLI ISOLATED FROM RAW MILK SOLD IN DIFFERENT MARKETS OF BANGLADESH

The study was intended for molecular detection of E. coli isolated from raw cow’s milk. A total of 20 milk samples were collected from different upazila markets of Jamalpur, Tangail, Kishoreganj and Netrokona districts of Bangladesh. Milk samples were cultured onto various culture media for the isolation of bacteria. The isolated bacteria were identified by studying staining characteristics, cultural properties on different selective media, biochemical tests, catalase and coagulase test, and finally by PCR. Out of 20 samples, 15 (75%) milk samples were found positive for E. coli. 15 Escherichia coli isolates were amplified by 16S rRNA gene based PCR. Antimicrobial sensitivity test was carried out to ascertain the susceptibility of the organism to various antibiotics. Its results showed that the E. coli isolates were resistant to amoxycillin (86.67%) and erythromycin (73.33%) but sensitive to azithromycin (53.33%), ciprofloxacin (86.67%), gentamicin (86.67%), norfloxacin (80%) and streptomycin (66.67%).
P o S ( I D M 2 0 1 0 ) 0 7 9 Microhalos and Dark Matter Detection

Cosmological structure formation predicts that our galactic halo contains an enormous hierarchy of substructures and streams, the remnants of the merging hierarchy that began with tiny Earth mass microhalos. If these structures persist until the present time, they could influence dramatically the detection signatures of weakly interacting elementary particle dark matter (WIMP). Using numerical simulations that follow the tidal disruption within the Galactic potential and heating from stellar encounters, we find that neither microhalos nor streams have significant impact on direct detection, implying that dark matter constraints derived using simple smooth halo models are relatively robust. We also find that many dense central cusps survive, yielding a small enhancement in the signal for indirect detection experiments.
Role of Garlic and Fenugreek during Gestation and Lactation : A Review

Nutrients plays important role in functioning and development of human body. A diet that is taken by organism should be a balanced diet, it must contain adequate amount of all the necessary nutrients required for healthy growth and developmental. Nutritional deficiency during pregnancy and lactation may cause different types of abnormalities during pre and postnatal development. Antioxidants may play very important role in abating side effects caused by free radicals generated during various metabolic processes especially during development as they are transferred through placenta to the fetus. There are few antioxidants, which also act as a lactating agent and have more importance during pregnancy and lactation. To assess the antioxidant activity of garlic and fenugreek which is also effective during gestation and lactation because their components can pass through placenta to fetus, all the previous information regarding in this connection are deliberated. Previously many studies have already been done on the nutritional importance of garlic and fenugreek in adults but information on developmental stages is very scanty. So to fulfill this lacuna the present study is focused on the effects of these antioxidants especially during pregnancy and lactation. These antioxidants can easily cross placenta and shows their beneficial effects on the development of the fetus. It can be concluded that garlic and fenugreek have favorable role not only in adults but also in the developing fetus due to their high antioxidant level and ability to pass the placenta.
2 Analysis of Electrocardiograms

The electrocardiogram (ECG) representing the electrical activity of the heart is the key biosignal for aiding the clinical staff in disease diagnosis. ECG has been always chosen as the basic signal for diagnosing the cardiac abnormalities and detecting the patients’ states. Generally the various characteristic features of ECG are extracted and used for decision making purposes. This makes the decision making and diagnosis process simpler and faster. Hence appropriate feature description and extraction becomes the most important component in cardiac health diagnostics. In this chapter various techniques for feature extraction are described.
One-dimensional hydrodynamic modelling of flooding and stage hydrographs in the lower Tapi River in India

The present study addresses the simulation of floods for the years 2003 and 2006 and the development of stage–discharge relationship along the lower Tapi River in India. The river network and cross-sections, for the present study, were extracted from the fieldsurveyed contours of the Tapi River. Using the aforesaid geometry and hydrological data, supplied by the stakeholders, the MIKE 11 hydrodynamic model was calibrated for the 1998 flood using releases from the Ukai Dam (flood hydrograph) and the tidal water level in the Arabian Sea as the upstream and downstream boundary conditions respectively. The calibrated model was validated using lowand high-flood data of the years 2003 and 2006 respectively. The time series of the simulated flood levels were compared with the corresponding observed values at four intermediate gauging stations: Kakrapar Weir, Mandavi Bridge, Ghala village and the Surat city (Nehru Bridge). The model performance was also evaluated using the standard performance index (i.e. root mean square error) and was found to be reasonably satisfactory for such a data-scarce region. The rating curves (i.e. stage–discharge relationship) were also developed from the aforesaid calibrated model which would be useful in flood forecasting and development of flood protection measures along the lower Tapi River.
Properties and Applications of the Interpolation Variance Associated with Ordinary Kriging Estimates

This paper shows some properties and applications of the interpolation variance. The interpolation variance is a reliable alternative to the kriging variance. The interpolation standard deviation presents correlation with estimates and also spatial correlation following the spatial pattern of the original data. Moreover, it can also be used for computing the global estimation variance associated with the average value of ordinary kriging estimates. Based on this uncertainty measure we have developed numerical procedures for correcting the smoothing effect of ordinary kriging estimates and backtransforming lognormal kriging estimates. Corrected or backtransformed estimates do not present any bias when compared to classical solutions. Properties and applications of the interpolation variance are illustrated on three data sets presenting different frequency distributions: lognormal, normal and negative skewness.
Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic

The advances in the field of machine learning using neuromorphic systems have paved the pathway for extensive research on possibilities of hardware implementations of neural networks. Various memristive technologies such as oxide-based devices, spintronics and phase change materials have been explored to implement the core functional units of neuromorphic systems, namely the synaptic network, and the neuronal functionality, in a fast and energy efficient manner. However, various non-idealities in the crossbar implementations of the synaptic arrays can significantly degrade performance of neural networks and hence, impose restrictions on feasible crossbar sizes. In this work, we build mathematical models of various non-idealities that occur in crossbar implementations such as source resistance, neuron resistance and chip-to-chip device variations and analyze their impact on the classification accuracy of a fully connected network (FCN) and convolutional neural network (CNN) trained with standard training algorithm. We show that a network trained under ideal conditions can suffer accuracy degradation as large as 59.84% for FCNs and 62.4% for CNNs when implemented on non-ideal crossbars for relevant non-ideality ranges. This severely constrains the sizes for crossbars. As a solution, we propose a technology aware training algorithm which incorporates the mathematical models of the non-idealities in the standard training algorithm. We demonstrate that our proposed methodology achieves significant recovery of testing accuracy within 1.9% of the ideal accuracy for FCNs and 1.5% for CNNs. We further show that our proposed training algorithm can potentially allow the use of significantly larger crossbar arrays of sizes 784×500 for FCNs and 4096×512 for CNNs with a minor or no trade-off in accuracy.
Development and Demography of Perceived Vulnerability in Youngsters.

ABSTRACT In order to assess children's perceived vulnerability to health problems, a longitudinal study was designed to observe third and seventh grader) at five intervals over a 2-year period. The hypothres tested concerned relationships between perceived vulnerability to health problems and age, uses, and socioeconosic states. Data were obtained from a group administered a 15-item ques4tonnairt; a characteristic itee illustrating the basic format of thes* questions was *What chance is"there of your getting the flu during this next year70.The specific health probless-iivestigated were a bad accident, a rash, a fever, having a tooth a sore throat, a toothache," a cold, bleeding gums, an upset stomach, being
The Effect of Feeding Frequency and Organic Loading Rate on the Anaerobic Digestion of Chinese Rice Straw

China produces over 200 tonnes of rice straw (RS) a year. This is an underutilized energy source that is often burned in the fields causing pollution and health problems for populations near and far. Anaerobic digestion (AD) can produce methane (CH4) rich biogas (45-55%) from waste RS as an alternative to burning whilst being affordable. Five 2L reactors were used to test the effect of feeding frequency (FF) and organic loading rates (OLR) on the anaerobic digestion of rice straw with input rates of between 5 feeds per week and one feed every 3 weeks. Two OLRs were used: 1gVS/L/d (OLR1) for 56 days and 2gVS/L/d (OLR2) for 83 days. At the lower OLR1, the best average biogas yield was 300ml/L of reactor/d at 50% CH4 and at OLR2 the best reactor achieved a mean biogas yield of 447ml/L/d at 52%CH4. The best performing FF at OLR1 was 1/21 day whilst at OLR2 the 5/7 day FF produced the highest volume and quality of biogas. Results confirm that biogas from rice straw anaerobic digestion could be used with combined heat and power (CHP) technology to potentially produce 0.5-0.8MWh of electricity per day per tonne of rice straw. © 2016 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICAE