Miracle-dz/UniFAR-FTUs huggingface dataset:
Test Case Prioritization Using Lexicographical Ordering

Test case prioritization aims at ordering test cases to increase the rate of fault detection, which quantifies how fast faults are detected during the testing phase. A common approach for test case prioritization is to use the information of previously executed test cases, such as coverage information, resulting in an iterative (greedy) prioritization algorithm. Current research in this area validates the fact that using coverage information can improve the rate of fault detection in prioritization algorithms. The performance of such iterative prioritization schemes degrade as the number of ties encountered in prioritization steps increases. In this paper, using the notion of lexicographical ordering, we propose a new heuristic for breaking ties in coverage based techniques. Performance of the proposed technique in terms of the rate of fault detection is empirically evaluated using a wide range of programs. Results indicate that the proposed technique can resolve ties and in turn noticeably increases the rate of fault detection.
Paracoccusacridae sp. nov., isolated from the insect Acrida cinerea living in deserted cropland.

A Gram-stain-negative, aerobic, rod-shaped, non-motile bacterial strain, designated SCU-M53T, was isolated from the insect Acrida cinerea. Phylogenetic analysis on the basis of 16S rRNA gene sequences showed that strain SCU-M53T belonged to the genus Paracoccus, having Paracoccus chinensisNBRC 104937T (97.04 % 16S rRNA gene sequence similarity) and Paracoccus niistensis KCTC 22789T (96.70 %) as the most closely related phylogenetic neighbours. Growth occurred at 10-40 °C (optimum 25-30 °C), pH 5.0-10.0 (optimum pH 6.5-7.5) and with 0-4 % (w/v) NaCl (optimum 0-1 % NaCl). The fatty acids of strain SCU-M53T were C18 : 1ω7c, C18 : 0, C16 : 0, C14 : 0 3-OH, C14 : 0 and C10 : 0 3-OH. The polar lipids consisted of phosphatidylglycerol, diphosphatidylglycerol, phosphatidylcholine, an unknown aminolipid, two unknown phospholipids and two unknown lipids. The isoprenoid quinone was ubiquinone-10. The DNA G+C content was 60.6 mol%. Strain SCU-M53T exhibited 36.5 and 28.6 % DNA-DNA relatedness to P. chinensis NBRC 104937T and P. niistensis KCTC 22789T, respectively. According to these results, strain SCU-M53T represents a novel species of the genus Paracoccus, for which the name Paracoccus acridae sp. nov. is proposed. The type strain is SCU-M53T (=KCTC 42932T=CGMCC 1.15419T).
Superstition and Real Estate Prices : Evidence from a Machine Learning

We investigate the impact of superstition on prices paid by Chinese-American home buyers. Chinese consider 8 lucky and 4 unlucky. Lacking explicit buyer ethnicity identi ers, we develop a binomial name classi er, a machine learning approach applicable to any data set containing names, that allows for falsi cation tests using other ethnic groups, and mitigates ambiguity from transliteration of Chinese characters into the Latin alphabet. Chinese buyers pay 1-2% premiums for addresses including an 8 and 1% discounts for addresses including a 4. These results are unrelated to unobserved property quality; no premium exists when Chinese sell to non-Chinese. The persistence of superstitions re ects the extent of cultural assimilation. JEL Codes: D03, R21, R30
Association of Agronomic Traits with SNP Markers in Durum Wheat (Triticum turgidum L. durum (Desf.))

Association mapping is a powerful approach to detect associations between traits of interest and genetic markers based on linkage disequilibrium (LD) in molecular plant breeding. In this study, 150 accessions of worldwide originated durum wheat germplasm (Triticum turgidum spp. durum) were genotyped using 1,366 SNP markers. The extent of LD on each chromosome was evaluated. Association of single nucleotide polymorphisms (SNP) markers with ten agronomic traits measured in four consecutive years was analyzed under a mix linear model (MLM). Two hundred and one significant association pairs were detected in the four years. Several markers were associated with one trait, and also some markers were associated with multiple traits. Some of the associated markers were in agreement with previous quantitative trait loci (QTL) analyses. The function and homology analyses of the corresponding ESTs of some SNP markers could explain many of the associations for plant height, length of main spike, number of spikelets on main spike, grain number per plant, and 1000-grain weight, etc. The SNP associations for the observed traits are generally clustered in specific chromosome regions of the wheat genome, mainly in 2A, 5A, 6A, 7A, 1B, and 6B chromosomes. This study demonstrates that association mapping can complement and enhance previous QTL analyses and provide additional information for marker-assisted selection.
Biochemical and clinical characterization of metabolic phenotypes : a cross-sectional study from Maracaibo city ,

In 1980, Reuben Andresen observed that in certain Background: individuals, obesity did not increase mortality, introducing an atypical phenotype called “healthy obese”. Other studies reported that 10-15 % of lean individuals presented insulin resistance, hyperglycemia and dyslipidemia. The objective of this study was to evaluate biochemical and clinical characteristics of metabolic phenotypes in Maracaibo city. A descriptive, cross-sectional sub-analysis of The Maracaibo Methods: City Metabolic Syndrome Prevalence Study, with a randomized multistage sampling was performed including 1226 non diabetic individuals from both sexes. For phenotype definition, the subjects were first classified according to their BMI into Normal-Weight, Overweight and Obese; then divided in metabolically healthy and unhealthy using a two-step analysis cluster being predictive variables: HOMA2-IR, HOMA2-βcell, triglycerides. To evaluate the relationship with coronary risk, a multiple logistic regression model was performed. In the studied population, 43.9% (n=538) were healthy normal Results: weight, 5.2% (n=64) unhealthy normal weight, 17.4% (n=217) healthy obese and 33.5% (n=411) unhealthy obese subjects. Atypical phenotypes, Metabolically Unhealthy Normal-Weight (MUNW) was more frequent in males (56.3%), whereas Metabolically Unhealthy Obese (MUO) was more frequent in females (51.3%). This phenotypes had a higher coronary event risk, especially for obese individuals (MHO: OR=1.85 CI95%: 1.11-3.09; p=0.02 and MUO: OR=2.09 CI95%: 1.34-3.28; p<0.01). Individuals with atypical metabolic phenotypes are common in Conclusion: Maracaibo city. Related factors may include insulin resistance, basal glucose, and triglycerides levels. Lastly, obese subjects show a higher 1,2 2,3 2 2 2 2 4 2 1 1 1 1 1 1
The effectiveness of family-centered transition processes from hospital settings to home: a review of the literature.

BACKGROUND AND OBJECTIVES The quality of care transitions is of growing concern because of a high incidence of postdischarge adverse events, poor communication with patients, and inadequate information transfer between providers. The objective of this study was to conduct a targeted literature review of studies examining the effectiveness of family-centered transition processes from hospital- and emergency department (ED)-to-home for improving patient health outcomes and health care utilization. METHODS We conducted an electronic search (2001-2012) of PubMed, CINAHL, Cochrane, PsycInfo, Embase, and Web of Science databases. Included were experimental studies of hospital and ED-to-home transition interventions in pediatric and adult populations meeting the following inclusion criteria: studies evaluating hospital or ED-to-home transition interventions, study interventions involving patients/families, studies measuring outcomes≤30 days after discharge, and US studies. Transition processes, principal outcome measures (patient health outcomes and health care utilization), and assessment time-frames were extracted for each study. RESULTS The search yielded 3458 articles, and 16 clinical trials met final inclusion criteria. Four studies evaluated pediatric ED-to-home transitions and indicated family-tailored discharge education was associated with better patient health outcomes. Remaining trials evaluating adult hospital-to-home transitions indicated a transition needs assessment or provision of an individualized transition record was associated with better patient health outcomes and reductions in health care utilization. The effectiveness of postdischarge telephone follow-up and/or home visits on health care utilization showed mixed results. CONCLUSIONS Patient-tailored discharge education is associated with improved patient health outcomes in pediatric ED patients. Effective transition processes identified in the adult literature may inform future quality improvement research regarding pediatric hospital-to-home transitions.
The Impact of Revised Wage Rate on Firm’s Competitiveness in the Ready Made Garment Sector of Bangladesh: A Case Study Comparison Between Large vs SME Garment Manufacturers

The objective of the paper was to critically analyse the impact of revised minimum wage rate on the competitiveness of different size garment manufacturers in Bangladesh. In doing so the paper adopted a case study approach and incorporated data from multiple case study companies. Notably, the paper aims to cover three main areas: industry conditions and its implications on profitability, the critical resources which are giving the large case study firms a competitive advantage and finally the impact of institutional change brought about by the Rana Plaza incident on different case study firms. Using relevant literature from these three areas the paper proposed 3 hypotheses which were in turn tested and re-developed by using the primary data collected from case study companies. The findings from the research highlighted that the profitability of the garment industry became particularly low only after the imposition of minimum wage; however the profitability in mid-market segment is still comparatively higher. The study also identified the two critical resources that are helping the large case study firms to strategize better in relation to tackling the impact of minimum wage, which were “Industrial Engineering Department” and “Vertically Integrated Supply Chain”. Finally the study identified the change in institutional paradigm and stringent monitoring brought about by Rana Plaza incident had a more significant impact for the SME’s due to issues such as decoupling which were much easier to pursue previously. Finally the paper also outlined some strategies which SME case study firms could adopt in order to minimize the impact of minimum wage. Notably, the revised minimum wage increase was only implemented from December 31st 2013 and there hasn’t been much academic work in relation to the context; therefore the study aims to provide a first-hand overview of the situation prevailing after the minimum wage which could be in turn used for further research in the area.
Competing intermediary auctions

Bidders' selection of an auction is important in the study of competing auctioneers. However, in a variety of settings, such as in the spot pricing of online display advertisements, bidders, represented by autonomous agents, are not allowed to bid directly but only via specialized intermediaries. Motivated by the emergence of these markets, we analyze a scenario where a single indivisible good is auctioned at a central seller via two intermediary auctions. We study, for the first time, the selection problem faced by the buyers who have to decide in which intermediary auction to bid after observing the set reserve prices. We find that, when the reserve prices of the intermediaries are sufficiently different, the unique pure-strategy equilibrium is for all buyers to select the low-reserve intermediary. When this is not the case, the equilibrium strategy depends on the valuation of the buyers and consists of three intervals. In this unique equilibrium, buyers in the low-valuation interval always choose the low-reserve intermediary. Buyers in the middle interval follow a strictly mixed strategy. Finally, the strategy of the buyers in the high-valuation interval is for all of them to go to either the high-reserve intermediary, or the low-reserve one, but not both.
Oral Stereognosis in Edentulous patients in South Indian Population

The ability to predict patient's performance with complete dentures remains elusive, irrespective of the method and the level of clinical proficiency employed in the fabrication of the prosthesis as some patients with clinically acceptable complete dentures function well while others poorly. The patients for this study were selected from those treated by the staff of the department of Prosthodontics, College of dental Surgery, Manipal and also those treated under the supervision of senior staffs of the Department. The patients were thoroughly examined to rule out any oral pathosis that right influence in the influences of this devaluation. A detailed history was then taken to standardize the patients. Patients who were under the influence of drugs, drug addicts, intoxications, sedatives, psychic and with perverted habits were not included in the study. A total of 66 patients were subjected to this perception study. They were divided into two groups A and B. group A ranged in age from 30 to 55 years and Group c between 56 to 80 years. Group A consisted of 31 (males 8 & females 23), patients and Group B 35 (males 28 & ladies 7) patients.
PREDICTION OF AVERAGE VOID FRACTION AND PDF OF VOID FRACTION IN VERTICAL 90 O BEND FOR AIR – SILICONE OIL FLOW USING MULTILAYER PERCEPTRON ( MLP ) CODES

A R T I C L E I N F O Received 18 July 2016 Accepted 25 Dec 2016 Available online 5 Jan 2017 Multilayer Perceptron (MLP) models have been developed to predict twophase average void fraction and probability density function (PDF) of void fraction in 90 bends. The Artificial Neural Network (ANN) methodology was reported using MLP trained with 2 algorithms. Logarithmic sigmoid transfer function was used in a single hidden layer for both algorithms (Gradient descent (GDMV) and Levenberg-Marquardt (LM) algorithms). Both MLP models were optimised by varying the number of neurons in the hidden layer while monitoring the Mean Square Error (MSE). The performance of the models was evaluated using the Average Absolute Relative Error (AARE) and Cross Correlation Coefficient (R). Both MLP models developed for the prediction of average void faction before the bend performed excellently well. However, the MLP model trained with LM algorithm having 3 neurons in the hidden layer gave better performance. Similarly, the MLP model trained with LM algorithm, having 11 neurons in the hidden layer for the prediction of PDF of void fraction before the bend gave excellent prediction. Model performance for the MLP models after the bend gave poor generalisation property. However, the MLP model based on GDMV algorithm gave better prediction for predicting average void fraction and PDF of void fraction after the bend. It was concluded that MLP models may with some confidence be used to predict the average void fraction and the PDFs of void fraction observed before a vertical 90 bend. 90 bend, air–silicone oil; void fraction; MLP; ANN; LM algorithm; GDMV algorithm; Modelling Paul Onubi Ayegba, Mukhtar Abdulkadir / International Journal of Lean Thinking Volume 7, Issue 2 (December 2016)
A Printed Transition for Matching Improvement of SIW Horn Antennas

The substrate integrated waveguide (SIW) technology allows to construct several types of commonly used antennas in a planar way. However, frequency limitations associated to commercial substrates appear in the implementation of certain types of antennas, e.g., SIW horn antennas are not well matched when the substrate thickness is much smaller than the wavelength. A printed transition is proposed to overcome this problem. Differently from current solutions, no bulky elements are required allowing to maintain the most important features of this technology namely its compactness and ease of manufacturing. In order to quickly analyze and design the transition, both a coupled resonator and a transmission line models are developed, together with design guidelines. The proposed transition is designed to match a H-plane SIW horn antenna built in a thin substrate $({\rm thickness}<\lambda_{0}/10)$ at different frequency bands at the Ku-band. Experimental results for 3 different transitions show that the matching characteristics are efficiently improved compared with the conventional SIW horn antenna and validates the proposed models.
Control Strategy for Power Flow Management in a PV System Supplying DC Loads

The growing concern for energy saving has increased the usage of LED-based street lights, electronic chokes, compact fluorescent lamps, and inverter-fed drives. Hence, the load profile seen by the electrical grid is undergoing a notable change as these devices have to operate from a dc source. Photovoltaics (PV) being a major energy source, the aforementioned loads can be connected directly to the dc bus. A grid-connected PV system involves a power source (PV array), a power sink (load), and two power sources/sink (utility and battery), and hence, a power flow management system is required to balance the power flow among these sources. One such system is developed for selecting the operating mode of the bidirectional converter by sensing the battery voltage. The viability of the scheme has been ascertained by performing experimental studies on a laboratory prototype. The control strategy is digitally implemented on an Altera Cyclone II Field Programmable Gate Array (FPGA) board, and the algorithm is verified for different modes of operation by varying the load. Experimental results are presented to bring out the usefulness of the control strategy.
Diversity of DNA fingerprints in Cryptococcus neoformans

DNA fingerprint patterns of 156 Cryptococcus neoformans isolates (26 AIDS patients, 46 non-AIDS patients, and 40 environmental sources) from both varieties (126 C. neoformans var. neoformans and 30 C. neoformans var. gattii isolates) and from seven countries were analyzed by using the DNA probe UT-4p. Nine and twelve distinct DNA fingerprint patterns were observed for isolates of the C. neoformans var. neoformans and var. gattii, respectively. No pattern was unique to AIDS patients, non-AIDS patients, or the environment. Pattern II was observed more often in non-AIDS patients (8 of 23) than in AIDS patients (0 of 25). Pattern V was the most prevalent pattern (42 of 82) in clinical and environmental isolates. Isolates from three AIDS patients in Burundi and Zaire exhibited patterns identical to each other but different from those of isolates collected from their houses (i.e., dust of floors, walls, etc.) or a nearby pigeon coop. DNA fingerprint stability was determined for 53 isolates from nine non-AIDS patients at different time intervals during 5 to 128 weeks of antifungal therapy. For eight patients, the fingerprint pattern was stable while the ninth may have had a mixed infection. Pattern II was observed in 4 of 9 patients, which is similar to 4 of 14 in other non-AIDS patients as reported here. In spite of the extensive pattern heterogeneity among 15 C. neoformans var. gattii isolates in Australia, the patterns observed in seven California isolates were quite different from those in Australia. Among isolates of C. neoformans var. gattii, one fingerprint pattern (designated b) was observed in several countries of the Far East. The fingerprint patterns of two of three environmental isolates from Eucalyptus camaldulensis trees in Australia were identical to those of 2 of the 12 clinical isolates from the country.
Creating Balance in Dynamic Competitions

Abstract We consider incentives for organizing competitions in multiple rounds, focusing on situations where there is heterogeneity among the contestants ex ante, which discourages effort in a single contest. Heterogeneity evolves across rounds depending upon the outcomes of previous rounds. We present conditions under which balance in such a competition can be created, by determining the number of rounds and dividing the prize fund carefully across them, so that full rent dissipation entails. In the model, each round is an all-pay auction where contestants differ in their abilities to gain a momentum from winning. We also discuss the case when negative prizes are feasible, demonstrating that this strengthens the full dissipation result; and we consider a case where the size of the winner’s momentum is related to the size of the prize attained, showing that the stronger this linkage, the less of the prize is awarded early on.
Method of intrusion detection using deep neural network

In this study, an artificial intelligence (AI) intrusion detection system using a deep neural network (DNN) was investigated and tested with the KDD Cup 99 dataset in response to ever-evolving network attacks. First, the data were preprocessed through data transformation and normalization for input to the DNN model. The DNN algorithm was applied to the data refined through preprocessing to create a learning model, and the entire KDD Cup 99 dataset was used to verify it. Finally, the accuracy, detection rate, and false alarm rate were calculated to ascertain the detection efficacy of the DNN model, which was found to generate good results for intrusion detection.
Technical Notes and Correspondence High-Frequency Nonlinear Vibrational Control

This paper discusses the feasibility of high-frequency nonlinear vibrational control. Such control has the advantage that it does not require state measurement and processing capabilities that are required in conventional feedback control. Bellmanet al. [1] investigated nonlinear systems controlled by linear vibrational controllers and proved that vibrational control is not feasible if the Jacobian matrix has a positive trace. This paper extends previous work to include nonlinear vibrational controllers. A stability criteria is derived for nonlinear systems with nonlinear controllers, and it is shown that a nonlinear vibrational controller can stabilize a system even if the Jacobian matrix has a positive trace.
Mismatch responses to randomized gradient switching noise as reflected by fMRI and whole‐head magnetoencephalography

The central auditory system of the human brain uses a variety of mechanisms to analyze auditory scenes, among others, preattentive detection of sudden changes in the sound environment. Electroencephalography (EEG) and magnetoencephalography (MEG) provide a measure to monitor neuronal cortical currents. The mismatch negativity (MMN) or field (MMNm) reflect preattentive activation in response to deviants within a sequence of homogenous auditory stimuli. Functional magnetic resonance imaging (fMRI) allows for a higher spatial resolution as compared to the extracranial electrophysiological techniques. The image encoding gradients of echo planar imaging (EPI) sequences, however, elicit an interfering background noise. To circumvent this shortcoming, the present study applied multi‐echo EPI mimicking an auditory oddball design. The gradient trains (SOA = 800 msec, 94.5 dB SPL, stimulus duration = 152 msec) comprised amplitude (−9 dB) and duration (76 msec) deviants in a randomized sequence. Moreover, the scanner noise was recorded and applied in a whole‐head MEG device to validate the properties of this specific material. Robust fMRI activation patterns emerged in response to the deviant gradient switching. Changes in amplitude activated the entire auditory cortex, whereas the duration deviants elicited right‐lateralized signal increase in secondary areas. The recorded scanner noise evoked reliably right‐lateralized mismatch MEG responses. Source localization was in accordance with activation of secondary auditory cortex. The presented paradigm provides a robust and feasible tool to study the functional anatomy of early cognitive auditory processing in clinical populations such as schizophrenia. Hum. Brain Mapping 16:190–195, 2002. © 2002 Wiley‐Liss, Inc.