Miracle-dz/UniFAR-FTUs huggingface dataset:
Stuck Pipe Early Warning System Utilizing Moving Window Machine Learning Approach

As stuck pipe continues to be a major contributor to non-productive time (NPT) in drilling for oil and gas operations, efforts to mitigate its incidence cannot be over emphasized. A machine learning approach is presented in this paper to identify warning signals and give early indications for an impending stuck pipe possibility during drilling activities so as to take proactive measures to mitigate its occurrence. The model uses a moving window-based approach to capture key drilling parameters trends and apply an unsupervised machine learning algorithm to predict abnormalities in the parameters’ rate of change. It utilizes most commonly available drilling real-time data and is therefore deployable in all type of wells. No pre-drill model is essentially required as the model utilizes a self-learning and self-adjusting model. The methodology involves the use of change point detection in identifying rig activity and the associated drilling parameters so as to capture relevant parametric trend for analysis. Inherent in the parameter trend are the different factors that affects their readings; such as wellbore geometry, bottom-hole assembly (BHA), dogleg severity (DLS), formation characteristics, pump flow rate and pipe rotations. The algorithm has been tested on historical wells data in which stuck pipe incidence, near-miss stuck pipe occurred, and incidence-free wells to prove the concept. The results of the model performance is hereby presented along with an accuracy measure.
The effects of IT infrastructure integration and flexibility on supply chain capabilities and organizational performance: An empirical study of the electronics industry in Taiwan

In recent years, rapid development of information technology (IT) has forced companies to integrate tightly with their supply chain partners, enabling efficient information sharing between supply chain members and improving supply chain efficiency, in order to make their supply chain more flexible and efficient. IT therefore plays a critical role in supply chains. How to achieve higher organizational performance through IT in a complex and uncertain supply chain environment has become an important issue. Even though many practitioners and scholars have taken multiple points of view to investigate the effects of IT infrastructure capability on firms’ performance, little research has explored cause-and-effect relationships from the perspective of supply chain capabilities. Based on a resource-based view of the firm, this study develops a research framework for investigating the mediating role of supply chain capabilities in the relationships between IT infrastructure flexibility, integration, and firms’ performance. Data for the study were collected from 270 companies in the Taiwanese electronics industry and the relationships proposed in the framework were tested using the Partial Least Squares method. The results indicate that IT infrastructure integration and flexibility indirectly and positively impact organizational performance through the mediating effect of supply chain capability, and the mediating effect is a full mediation. The findings provide empirical support to resourced-based IT studies, which propose mediating IT impacts on organizational performance. This study should be useful to practitioners who implement IT strategy.
Reply to profiling of Epstein‐Barr virus‐encoded microRNAs in nasopharyngeal carcinoma reveals potential biomarkers and oncomirs

In an article published in Cancer ahead of print on June 30, 2011, Wong et al report the distinct presence of several viral microRNAs encoded by the Epstein-Barr virus (EBV) genome in the serum from patients bearing EBVassociated nasopharyngeal carcinomas (NPCs). These findings open exciting perspectives for use of viral microRNAs as new tools for early NPC diagnosis, prognosis assessment, and treatment monitoring. The report by Wong et al is in part convergent with our previously published data about the detection of the EBVmicroRNA BART7 in plasma samples from patients with NPC. However, there are differences. In contrast to Wong et al, we have observed a low but significant level of BART7 amplification from nonNPC donor samples. The primers used for reverse transcription and polymerase chain reaction were identical in both studies, but 1 obvious difference in our protocol was that RNA was extracted from plasma instead of from serum samples. We are curious to know whether, according to the authors, RNA extraction from serum samples is a better option to increase specific detection of circulating microRNA-BARTs among patients with NPC. Another potential factor of inconsistency is the use of a preamplification step after retrotranscription of RNAs. Wong et al refer to a protocol described by Kroh et al that mentions this preamplification procedure as optional. In our own study, we have skipped this step; however, it would be interesting to know explicitly whether or not it has been performed byWong et al.
Machine translation and post-editing training as part of a master’s programme

This article presents a description of a machine translation (MT) and post-editing course (PE), along with an MT project management module, that have been introduced in the Localisation Master’s programme at Universitat Autonoma de Barcelona in 2009 and in 2017 respectively. It covers the objectives and structure of the modules, as well as the theoretical and practical components. Additionally, it describes the project-based learning approach implemented in one of the modules, which seeks to foster creative and independent thinking, teamwork, and problem solving in unfamiliar situations, with a view to acquiring transferable skills that are likely to be in demand, regardless of the technological advances taking place in the translation industry.
Obese women and in vitro fertilization: results.

OBJECTIVE To evaluate the effect of female obesity on the results of In Vitro Fertilization (IVF) in six parameters: dose of gonadotropins required, number of oocytes retrieved and fertilization, pregnancy, miscarriage and live births rates. METHOD Literature search in PUBMED articles in English between 2008 and 2013 using the following keywords: female, obesity and In Vitro Fertilization. 15 articles were selected for this work. RESULTS From the total only two articles showed that female obesity does not alter the results of IVF. The remaining 13 came to the conclusion that obesity has a negative effect on some of the parameters evaluated. However, there was no consensus about its effect. CONCLUSION Further studies are needed to clarify the real role of obesity in female patients undergoing IVF, but the weight loss prior to treatment should always be encouraged.
Pipeline Efforts with a Freirean Twist: The Juntos Health Disparities Research Internship

Increasing workforce diversity is essential to improving the health outcomes for minority populations, particularly Latinos. This paper describes an innovative 6-week health disparities internship program for underrepresented precollege and college students aimed at empowering students to become health science researchers focused on issues that continue to affect minority communities. Our program embraces the educational philosophy developed by Paulo Freire, which supports the development of critical awareness, critical thinking, and reflection. In this manner, this internship program shifts the paradigm away from traditional approaches focused solely on knowledge remediation. Program participants became conscious of their realities while they grew to envision themselves as agents of change capable of transforming their communities.
A Study of Water-borne Morbidities of Thanga Village, Manipur

Abstract The present study was undertaken in the fishing community of Thanga village of the North-eastern state of Manipur to identify the factors that were contributing to high incidence of water borne diseases. A total of 200 families were asked to recall all the illness prevalent during the last one week prior to the day of recording the data. The results revealed that out of a total of 1254 individuals 132 were reported suffering from water-borne diseases such as diarrhoea (34. 84%), worminfestation (27. 27%), typhoid fever (21. 21%) and jaundice (16. 66%). The study indicates that low literacy rate, low economic status, unavailability of potable drinking water; ignorance, poor hygienic practices and cultural practices associated with consumption of drinking water etc. were found to be the determinants of high incidence of morbid condition in the village.
Design of Electric Vehicle Charging Station Based on Genetic Algorithm

Aimed at the design problem of electric vehicle (EV) charging station, this paper proposes an optimization algorithm based on genetic algorithm (GA) to explore the optimal design scheme. The proposed algorithm is verified by using a charging station equipped with distributed energy as an example. At the same time, the example is divided into three cases for comparison. The results show that the construction of distributed generation for charging station will have better economic benefits.
Correlation between familial roles and persistence of female students on distance education programmes in Ghana: Through the lens of an administrator

The contributions of individuals towards a nation’s development cannot be underestimated. Nevertheless, research has proven that gender roles could create some setbacks to the extent that some individuals may not be able to reach the optimum in higher education. This correlational study explored whether the interplay of some female gender roles affected persistence as female students juggled with studies. A total of 21 study centres with female enrolment of a 100 and above were purposively selected. Using simple random sampling, a sample of 441 female students were drawn from two distance education institutions in Ghana. The study employed the correlational research design. A questionnaire was used to collect data and analysed using descriptive statistics and Pearson Product Moment Correlation Coefficient. It was revealed that female students had family roles they performed. The study found that there was a positive correlation between persistence and familial roles among the participants. This implied that as the level of familial roles of the respondents increased, their persistence increased as well, thus revealing some level of resilience towards the progression of their education. It was therefore recommended that administrators of distance education institutions equipped female students with the needed knowledge and support to ensure the effective management of their familial roles.
A Modified Luo Converter-Based Electric Vehicle Battery Charger With Power Quality Improvement

Most of the single-stage single switch power factor correction (PFC) solutions have limited applications in high power ac–dc converters as an increased voltage across and current through the semiconductor devices are seen, which, in turn, results into lower efficiency. This article deals with a modified isolated Luo PFC converter-based electric vehicle (EV) charger with two switches and input clamping diodes at the primary of an isolation high frequency transformer (HFT). This configuration facilitates the advantage of comparatively low switch voltage stress, which is clamped at the input voltage. The proposed converter is selected to operate in discontinuous conduction mode (DCM) to obtain built-in PF correction capability at ac mains. The operation of the converter in DCM, considerably reduces the control complexity due to reduced number of sensors. A prototype is implemented to verify the improved power quality (PQ) performance of the proposed modified Luo converter. An improved low ripple-based charging is provided in constant current-constant voltage modes, which improve the long-term battery service life. The performance of the converter is found robust enough to validate the efficacy of charging at steady state and at varying line voltage variation range. The improved PQ indices are observed to meet the international standards of IEC 61000-3-2.
Evaluation of Radiation Doses to Patients Undergoing Coronary Angiography and Percutaneous Coronary Intervention Based on the Dosimetry in an Anthropomorphic Phantom

Entrance skin dose, organ dose, and the effective dose of patients undergoing coronary angiography (CAG) and percutaneous coronary intervention (PCI) were evaluated based on the dosimetry in an anthropomorphic phantom. Tiny photodiode dosimeters embedded in various organ sites in the phantom were used to measure exposure doses. Dosimeter signals acquired on a personal computer directly were converted into absorbed doses, from which organ and the effective doses were evaluated by using the computer. Dose measurement were carried out for two types of current x-ray imager—i. e. image intensifier and flat panel detector—in fluoroscopy and in cine angiography separately for every projection of routine CAG and PCI procedure used in Nagoya Daini Red cross Hospital. Dose-area product (DAP) was also measured to examine the relations between entrance skin dose, the effective dose and the DAP. Entrance skin dose observed in PCI was in a range of 1.3-1.4Gy, the values which were less than a threshold value of 2Gy at which erythema could occur. High organ doses were observed in lung, bone surface, liver and esophagus, where the doses for lung were the highest with a value of 47mGy for CAG and 222mGy for PCI. Effective doses were evaluated to be around 10mSv for CAG, and 13-44mSv for PCI. Entrance skin dose and the effective dose were found to be independent on the types of x-ray imager, and reduced exposure doses expected for the flat panel detector could not be observed. Dose ratio of cine angiography to fluoroscopy was lower for the effective dose than for entrance skin dose. DAP to effective dose conversion coefficients were widely ranged between 0.17 and 0.52mSv/(Gy·cm2). By using the coefficient assigned for each procedure of CAG, PCI-L and PCI-R, effective doses were possible to be estimated from measured values of DAP.
Evaluation of Deep Learning Methods Efficiency for Malicious and Benign System Calls Classification on the AWSCTD

The increasing amount of malware and cyberattacks on a host level increases the need for a reliable anomaly-based host IDS (HIDS) that would be able to deal with zero-day attacks and would ensure low false alarm rate (FAR), which is critical for the detection of such activity. Deep learning methods such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are considered to be highly suitable for solving data-driven security solutions. Therefore, it is necessary to perform the comparative analysis of such methods in order to evaluate their efficiency in attack classification as well as their ability to distinguish malicious and benign activity. In this article, we present the results achieved with the AWSCTD (attack-caused Windows OS system calls traces dataset), which can be considered as the most exhaustive set of host-level anomalies at the moment, including 112.56 million system calls from 12110 executable malware samples and 3145 benign software samples with 16.3 million system calls. The best results were obtained with CNNs with up to 90.0% accuracy for family classification and 95.0% accuracy for malicious/benign determination. RNNs demonstrated slightly inferior results. Furthermore, CNN tuning via an increase in the number of layers should make them practically applicable for host-level anomaly detection.
Multimethod genetic algorithm for the three-dimensional orthogonal packing problem

The article is devoted to design and investigation of a set of heuristics intended to optimize the three-dimensional orthogonal packing problem with the multimethod genetic algorithm. The proposed heuristics are based on five rules for selecting objects and seven rules for selecting free spaces of containers. The quality and time effectiveness for all these rules were determined. The probabilities of including these rules into new heuristics are given. The article contains results of computational experiments carried out on the standard instances of the three-dimensional orthogonal bin packing problem.
LCZ-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network

The local climate zone (LCZ) scheme was originally proposed to provide an interdisciplinary taxonomy for urban heat island (UHI) studies. In recent years, the scheme has also become a starting point for the development of higher-level products, as the LCZ classes can help provide a generalized understanding of urban structures and land uses. LCZ mapping can therefore theoretically aid in fostering a better understanding of spatio-temporal dynamics of cities on a global scale. However, reliable LCZ maps are not yet available globally. As a first step toward automatic LCZ mapping, this work focuses on LCZ-derived land cover classification, using multi-seasonal Sentinel-2 images. We propose a recurrent residual network (Re-ResNet) architecture that is capable of learning a joint spectral-spatial-temporal feature representation within a unitized framework. To this end, a residual convolutional neural network (ResNet) and a recurrent neural network (RNN) are combined into one end-to-end architecture. The ResNet is able to learn rich spectral-spatial feature representations from single-seasonal imagery, while the RNN can effectively analyze temporal dependencies of multi-seasonal imagery. Cross validations were carried out on a diverse dataset covering seven distinct European cities, and a quantitative analysis of the experimental results revealed that the combined use of the multi-temporal information and Re-ResNet results in an improvement of approximately 7 percent points in overall accuracy. The proposed framework has the potential to produce consistent-quality urban land cover and LCZ maps on a large scale, to support scientific progress in fields such as urban geography and urban climatology.
Design and performance evaluation of different power pad topologies for electric vehicles wireless charging systems

Range limitations and charging of electric vehicles (EVs) are major concerns in the modern electrified transportation systems. In this thesis, design and performance analysis of three power pads considered for EV’s wireless charging systems are carried out. In particular, a comparative performance analysis is conducted for circular and double D (DD) power pads, and a new power pad named DDC power pad is designed by combining these two power pads. Wireless charging systems of EV’s are developed, mainly based on the inductive power transfer (IPT) system where the power is transferred through electromagnetic induction. A systematic approach to power pad design is presented in detail and the Society of Automotive Engineers (SAE) recommended practice J2954 is followed for designing the physical dimension of these power pads. To this end, Finite Element Analysis (FEA) tool ANSYS Maxwell 3D is used for simulation. Extensive simulation studies are carried out to verify the efficiency of the proposed DDC power pad. It is found that the proposed DDC power pad offers significantly improved performance compared to the existing circular and DD power pads under various misaligned positions.
A Comparison of Mobile and Computer Receptive Language ESL Tests

A Comparison of Mobile and Computer Receptive Language ESL Tests Aislin Pickett Davis Department of Linguistics, BYU Master of Arts The option to bring-your-own-device (BYOD) to educational settings is becoming more prevalent as mobile technologies are more accessible than ever, yet little research has been done to examine the effect of those devices on language assessment. In this study, participants (n=175) were divided by stratified random sampling into four groups. Using a Latin square design to control for ordering, two forms of a multiple-choice reading and listening exam were administered over two days. On each day, participants took one test on a BYOD mobile device and one on a computer. A repeated measures ANOVA was used to determine the effect that device type had on score. During the administration of the test, the BYOD condition revealed a number of difficulties that would caution against full-scale adoption for high stakes testing, but the test scores on the computer and BYOD mobile version of the exam were not significantly different in either skill area.
Design and Implementation of Cost-effective Simple FIR Filter for EEG Signal on FPGA

Filter is immensely used to distinguish distinctive human signal progressively. In this article, a digital finite impulse response (FIR) filter is presented for the quick detection of electroencephalogram (EEG) signal to smooth and compress the signal. This paper means to structure an advanced FIR filter based on Field Programmable Gate Array (FPGA) to get faster biomedical signals specially EEG signals. For this respect, a simple and cost-effective FIR filter is introduced to make EEG signal noise free, less costly, less power consuming and simple. It requires less space for chip implementation than other digital filter and avoid the mixture of other biomedical signal. For hardware execution, FPGA board is utilized which is a mix of various logic gates and registers which offers cheap and dependable administrations.
An Open-Loop Fundamental and Harmonic Phasor Estimator for Single-Phase Voltage Signals

This article proposes a novel technique for fundamental and selective harmonic phasor estimation of a single-phase voltage signal based on open-loop voltage signal processing approach, under adverse distorted conditions. At heart, a modified fast discrete Stockwell transform (FDST) is used for the phasor estimation. The performance of the FDST is improved by incorporating a new frequency-dependent Gaussian window for capturing the time-localized variations of individual frequency component. The modified window has four parameters, which are selected based on the statistical properties of the given input voltage signal. Furthermore, under off-nominal frequency conditions the spectral leakage problem, faced by the S-transform, is avoided by proposing a modified sample value adjustment based preprocessing stage. Various static and dynamic tests were considered according to the IEEE Standard 1159, IEEE Standard C37.118. 1a-2014, and EN-50160 standards under harmonics and interharmonics scenarios. The performance of the proposed method is validated using synthetic voltage signals, simulated voltage signals on 6-bus microgrid model developed in power system computer aided design (PSCAD), and hardware implementation on dSPACE 1103. The rigorous test cases reveal that the proposed phasor measurement unit has a good adaptability to grid frequency drifts, a good harmonic and dc-offset rejection capability, and a very good steady state as well as dynamic response.
Wireless Communications: Principles and Practice (2nd Edition) by

For cellular radio engineers and technicians. The leading book on wireless communications offers a wealth of practical information on the implementation realities of wireless communications. This book also contains up-to-date information on the major wireless communications standards from around the world. Covers every fundamental aspect of wireless communications, from cellular system design to networking, plus world-wide standards, including ETACS, GSM, and PDC. Theodore Rappaport is Series Editor for the Prentice Hall Communication, Engineering, and Emerging Technologies Series.