Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting software build failure using source code metrics

In this paper, we describe the extraction of source code metrics from the Jazz repository and the application of data mining techniques to identify the most useful of those metrics for predicting the success or failure of an attempt to construct a working instance of the software product. We present results from a study using the J48 classification method used in conjunction with a number of attribute selection strategies applied to a set of source code metrics calculated from the code base at the beginning of a build cycle. The results indicate that only a relatively small number of the available software metrics that we considered have any significance for predicting the outcome of a build. These significant metrics are discussed and implication of the results discussed, particularly the relative difficulty of being able to predict failed build attempts. The results also indicate that there is some scope for predicting the outcomes of an attempt to construct a working instance of the software product by analysing the characteristics of the source code to be changed. This provides the opportunity for software project managers to estimate the risk exposure of the planned changes in the build prior to commencing the coding activities.
Issues and concerns of microscopic calibration process at different network levels : case study of pacific motorway

Calibration process in micro-simulation is an extremely complicated phenomenon. The difficulties are more prevalent if the process encompasses fitting aggregate and disaggregate parameters e.g. travel time and headway. The current practice in calibration is more at aggregate level, for example travel time comparison. Such practices are popular to assess network performance. Though these applications are significant there is another stream of micro-simulated calibration, at disaggregate level. This study will focus on such microcalibration exercise-key to better comprehend motorway traffic risk level, management of variable speed limit (VSL) and ramp metering (RM) techniques. Selected section of Pacific Motorway in Brisbane will be used as a case study. The discussion will primarily incorporate the critical issues encountered during parameter adjustment exercise (e.g. vehicular, driving behaviour) with reference to key traffic performance indicators like speed, lane distribution and headway; at specific motorway points. The endeavour is to highlight the utility and implications of such disaggregate level simulation for improved traffic prediction studies. The aspects of calibrating for points in comparison to that for whole of the network will also be briefly addressed to examine the critical issues such as the suitability of local calibration at global scale. The paper will be of interest to transport professionals in Australia/New Zealand where micro-simulation in particular at point level, is still comparatively a less explored territory in motorway management.
Validating measures of real-world outcome: the results of the VALERO expert survey and RAND panel.

BACKGROUND People with schizophrenia demonstrate considerable discrepancy between self-reported functioning and informant reports. It is not clear whether these discrepancies originate from the instruments used or from the perspectives of different informants. The goal of the Validation of Everyday Real-World Outcomes (VALERO) Study is to enhance the measurement of real-world (RW) outcomes in the social, residential, and vocational domains through selection of optimal scales and informants using a multistep process similar to the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) initiative. METHODS Forty-eight experts provided their opinion regarding the best scales measuring RW outcomes. Fifty-nine measures were nominated. The investigators selected the 11 scales that were the most highly nominated, had the most published validity data, and best represented the domains of interest. Information was provided to other experts who served as RAND panelists. Panelists rated each measure for its suitability across multiple a priori domains. Discrepant ratings were discussed until consensus was reached. RESULTS Following the RAND Panel, the 2 scales that scored highest across the various criteria for each of the classes of scales (hybrid, social functioning, and everyday living skills) were selected for use in the first substudy of VALERO. The scales selected were the Quality-of-Life Scale, Specific Levels of Functioning Scale, Social Behavior Schedule, Social Functioning Scale, Independent Living Skills Schedule, and Life Skills Profile. DISCUSSION The results show that although there are significant limitations with current scales used for the assessment of RW outcome in schizophrenia, a consensus is possible. Further, several existing instruments were rated as useful for measuring social, residential, and vocational outcomes.
Benchmark of the unrolling of pseudorandom numbers generators

Research software involving stochastic behaviour often requires an enormous quantity of random numbers. In addition to the quality of the pseudorandom number generator (PRNG), the speed of the algorithm and the ease of its implementation are common practical aspects. In this work we will discuss how to optimize the access speed to random numbers independently from the generation algorithm using a lookup table. This idea was exploited in the late fifties, when the Rand Corporation started to propose sets of ready to use pseudo-random numbers (PRNs). The need of larger and larger sets of PRNs cancelled the possibility of storing those sets into the memory of our past computers, even supercomputers were not able to store tables with hundreds of millions of PRNs. In this paper we propose an implementation technique in order to speedup any kind of PRNG taking into account the capacities of current computers and microcomputers. The speed of our solution stems from the classical unrolling optimization technique, it is named the URNG technique (Unrolled Random Number Generator). Random numbers are first generated in source code, then precompiled and stored inside the RAM of inexpensive computers at the executable loading time. With this technique random numbers need to be computed only once. The UNRG technique is compliant with parallel computing. Limits and effects on speed and sensitivity are explored over 4 computer generations with a simple Monte Carlo simulation. Every research field using stochastic computation can be concerned by this software optimization technique.
SAP-RI: Twitter Sentiment Analysis in Two Days

We describe the submission of the SAP Research & Innovation team to the SemEval 2014 Task 9: Sentiment Analysis in Twitter. We challenged ourselves to develop a competitive sentiment analysis system within a very limited time frame. Our submission was developed in less than two days and achieved an F1 score of 77.26% for contextual polarity disambiguation and 55.47% for message polarity classification, which shows that rapid prototyping of sentiment analysis systems with reasonable accuracy is possible.
GPS AIDED IMU FOR UNMANNED AIR VEHICLES

This paper presents the development of a strapdown navigation system to determine the pose (position and attitude) of unmanned air vehicles, using GPS, accelerometers, magnetometers and rate gyros triads. The current work resorts to complementary filtering to implement a navigation system developed on Earth coordinates and Euler angles. Special features include bias estimation and removal in inertial sensors. An attitude aiding device, referred to as Magneto-Pendular Sensor, is introduced and detailed. Multirate filter synthesis is outlined, and a time-varying attitude transformation is briefly discussed. The navigation system performance is evaluated in simulation using a typical model-scale helicopter maneuver.
Electroretinographic analyses of Rpe65-mutant rd12 mice: developing an in vivo bioassay for human gene therapy trials of Leber congenital amaurosis.

PURPOSE Dramatic restoration of retinal function has followed subretinal viral-mediated gene therapy in RPE65-deficient animal models of human Leber congenital amaurosis (LCA) caused by RPE65 mutations. Progress in early-phase clinical trials of RPE65-LCA prompted us to begin development of an in vivo bioassay of clinical grade vector stability for later-phase trials. METHODS Naturally-occurring Rpe65-mutant rd12 mice (2-4 mo of age) were studied with full-field electroretinograms (ERGs). Flash stimuli (range, -4.1 to 3.6 log scot-cd x s x m(-2)) were used to evoke ERGs in anesthetized, dark-adapted mice. B-wave amplitudes were measured conventionally and luminance-response functions were fit. Leading edges of photoresponses were analyzed with a model of rod phototransduction activation. A unilateral subretinal injection of AAV2-CB(SB)-hRPE65 vector was delivered and therapeutic efficacy of 4 doses spanning a 2 log unit range was studied with ERGs performed about 6 weeks after injection. Uninjected rd12 eyes and wild-type (wt) mice served as controls. RESULTS Rd12 mice showed substantially smaller amplitudes and lower sensitivities than wt mice for all measured ERG b-wave and photoresponse parameters. For the dose-response study, there was no difference between 0.01X-dosed mice and untreated mutants. Improved receptoral and post-receptoral function was evident for 0.1X, 0.3X, 1X doses: b-wave semi-saturation constants decreased, b-wave amplitudes increased with dose; photoresponses showed faster kinetics and higher maximum amplitudes. ERG b-wave amplitude to a selected stimulus light intensity could provide evidence of biologic activity of the vector; interocular differences in b-wave amplitude comparing treated versus untreated eyes in the same animal also revealed vector efficacy. CONCLUSIONS We have taken the first steps toward developing an ERG assay of biologic activity of human grade vector for future clinical trials of RPE65-LCA. Faithful murine models of treatable human disease tested with specific ERG protocols may emerge as valuable in vivo bioassays for future human clinical trials of therapy in many retinal degenerative diseases.
Increasing Level of Leisure Physical Activity Could Reduce the Risk of Hip Fracture in Older Women

AbstractWe carried out the study to investigate and quantitatively assess the potential association between current level of physical activity and the risk of osteoporosis hip fracture in older women.Relevant publications before October 2015 were identified using the PubMed and Ovid searching tools. A dose–response meta-analysis was carried out to combine and analysis results. Fourteen prospective studies were included in the meta-analysis. A general analysis of 9 studies showed a significant inverse relationship between increasing level of physical activity and risk of hip fracture in older women [relative risk (RR) = 0.93, 95% confidence interval (95% CI): 0.91–0.96]. The result of a sensitivity analysis was consistent with the general analysis (RR = 0.94, 95% CI: 0.93–0.96). The association between increasing level of physical activity and risk of wrist fracture was not statistically significant in a general analysis of three studies (RR = 1.004, 95% CI: 0.98–1.03). A potential direct association between increasing level of physical activity and risk of wrist fracture was observed after removing 1 study with the greatest weight (RR = 1.01, 95% CI: 1.00–1.03). No significant publication bias was observed in our analysis.Our results show that increasing level of physical activity within an appropriate range may reduce the risk of hip fracture but not the risk of wrist fracture in older women.
Nuclear and cytoplasmic maturation of in vitro matured human oocytes after temporary nuclear arrest by phosphodiesterase 3-inhibitor.

BACKGROUND The use of hormones for controlled ovarian stimulation results in follicular heterogeneity, with oocytes at diverse stages of nuclear and cytoplasmic development. This study evaluated the impact of temporary nuclear arrest by a specific phosphodiesterase 3-inhibitor (PDE3-I), cilostamide, on nuclear and cytoplasmic maturation of cumulus-free germinal vesicle (GV) human oocytes from controlled ovarian stimulated cycles. METHODS GV oocytes (n = 234) were cultured in: (i) medium without the inhibitor (control); (ii) medium supplemented with 1 microM cilostamide and (iii) medium supplemented with 10 microM cilostamide. Oocytes in groups (ii) and (iii) were exposed to cilostamide for 24 h. The PDE3-I was subsequently removed by transfer of oocytes to fresh in vitro maturation (IVM) medium and the reversibility of GV arrest was assessed during IVM culture for maximum 48 h. RESULTS Cilostamide (1 and 10 microM) could maintain >80% of the oocytes at the GV stage, without affecting subsequent maturation to metaphase II. Oocytes exposed to 1 microM cilostamide were more likely to have normal bipolar spindles with aligned chromosomes than control oocytes (P < 0.05). When GV chromatin configurations before and after arrest were compared, a significantly higher proportion of oocytes had acquired a nucleolus completely surrounded by a rim of highly condensed chromatin (P < 0.05). CONCLUSIONS Temporary nuclear arrest of human GV oocytes with PDE3-I proved to be beneficial for obtaining normal spindle and chromosome configurations after IVM. It resulted also in synchronization within the population of GV oocytes.
SERVICE SECTOR COMPETITIVENESS IN NEW ZEALAND : AN INTEGRATED APPROACH

This paper presents part of an on-going research project into the competitiveness of New Zealand service sector firms. The overall aim of the research is to identify best practice in order to help firms improve their competitiveness in the service sector. Quantitative data has already been collected by means of a mail survey. This paper, however, focuses on the qualitative data collection phase of the study and the use of a ‘scorecard’ to obtain both insights into service sector competitiveness and to provide feedback to firms participating in academic research.
FlowOS: a flow-based platform for middleboxes

Middleboxes are heavily used in the Internet to process the network traffic for a specific purpose. As there is no open standards, these proprietary boxes are expensive and difficult to upgrade. In this paper, we present a programmable platform for middleboxes called FlowOS to run on commodity hardware. It provides an elegant programming model for writing flow processing software, which hides the complexities of low-level packet processing, process synchronisation, and inter-process communication. We show that FlowOS itself does not add any significant overhead to flows by presenting some preliminary test results.
Translocation of oxysterol binding protein to Golgi apparatus triggered by ligand binding

A cDNA encoding a cytoplasmic oxysterol binding protein was expressed at high levels by transfection in animal cells. This protein binds oxysterols such as 25-hydroxycholesterol that regulate sterol metabolism by transcriptional and posttranscriptional effects. In the transfected cells, some of the oxysterol binding protein (OSBP) was distributed diffusely in the cytoplasm, and some was bound to small vesicles near the nucleus, as revealed by indirect immunofluorescence. Upon addition of 25-hydroxycholesterol, most of the OSBP became concentrated in large perinuclear structures that stained with lentil lectin, a protein that stains the Golgi apparatus. The structures that contained OSBP were disrupted by brefeldin A, confirming their identification as Golgi. A mutant OSBP lacking the COOH-terminal oxysterol binding domain localized to the Golgi spontaneously, suggesting that this domain normally occludes the domain that binds to the Golgi and that sterols relieve this occlusion. The previously noted potential leucine zipper sequence in OSBP was not required for Golgi localization, nor was it essential for homodimer formation. We conclude that OSBP is triggered to bind extrinsically to Golgi membranes when it binds oxysterols and speculate that this translocation may play a role in the transport, metabolism, or regulatory actions of oxysterols.
Protein complexity of central nervous system cell lines

The total extracellular proteins and the most abundant 960 intracellular proteins of clonal CNS nerve and glial cell lines were examined by quantitative 2-dimensional acrylamide gel electrophoresis. While less than 0.2% of the intracellular proteins differ among the 5 nerve and 4 glial cell lines studied, over 65% of the extracellular proteins vary in distribution between the 2 major classes of CNS cells. These data indicate that the phenotypic complexity of nerve and glia populations is similar and that most of the protein complexity is in extracellular molecules.
The Short Run Impact of Scheduled Macroeconomic Announcements on the Australian Dollar during 1998

This study examines the high frequency reaction of the Australian Dollar (AUD) to new information contained in scheduled macroeconomic news releases in Australia for 1998 using Money Market Services trader expectations data. By using exchange rate data sampled at 10-second intervals, major price adjustments are found to begin almost immediately following the initial release of information and are complete within one minute of the announcement. There is some evidence of over-reaction after the initial release but returns in the first minute do not seem to have any meaningful structure that would enable prediction of returns in the second minute. The AUD appears to trade efficiently and the market absorbs new information quickly.
Doxycycline and therapeutic targeting of the DNA damage response in cancer cells: old drug, new purpose

There is a small proportion of cells within a tumour with self-renewing properties, which is resistant to conventional therapy, and is responsible for tumour initiation, maintenance and metastasis. These cells are known as cancer stem cells (CSCs) or tumour-initiating cells (TICs) [1]. Recent publications identify several antibiotics, such as salinomycin or doxycycline, as selective CSCs inhibitors [2-4]. However, the mechanisms of action of these antibiotics on CSCs are not fully understood.
Long-Range Structural Regularities and Collectivity of Folded Proteins

Coarse-grained network models of proteins successfully predict equilibrium properties related to collective modes of motion. In this study, the network construction strategies and their systematic application to proteins are used to explain the role of network models in defining the collective properties of the system. The analysis is based on the radial distribution function, a newly defined angular distribution function and the spectral dimensions of a large set of globular proteins. Our analysis shows that after reaching a certain threshold for cut-off distance, network construction has negligible effect on the collective motions and the fluctuation patterns of the residues.
A Static Assurance Analysis of Android Applications

We describe an efficient approach to identify malicious Android applications through specialized static program analysis. Our solution – referred to as userintention program dependence analysis – performs offline analysis to find the dependence relations between user triggers and entry points to methods providing critical system functions. Analyzing these types of dependences in programs can identify the privileged operations (e.g., file, network operations and sensitive data access) that are not intended by users. We apply our technique on 708 free popular apps and 482 malware apps for Android OS, and the experimental results show that our technique can differentiate between legitimate and malware applications with high accuracy. We also explain the limitations of the user-intention-based approach and point out the need for practitioners to adopt multiple analysis tools for evaluating the assurance of Android applications.
New improved 1-bit full adder cells

The 1-bit full adder is a very important component in the design of application specific integrated circuits. In this paper, authors propose three new 1-bit full adders having a delay of 2-transistor (2T) using existing XOR and XNOR gates. The power consumption, delay and area of these new full adders are compared with existing ones and the results appear to be promising. The combination of low power, low transistor count and lesser delay makes the new full adders a viable option for efficient design.
Abundance analysis of targets for the COROT / MONS asteroseimology missions I. Semi-automatic abundance analysis of the gamma Dor star HD 49434

One of the goals of the ground-based support program for the COROT and MONS/Roemer satellite missions is to select and characterise suitable target stars for the part of the missions dedicated to asteroseismology. While the global atmospheric parameters may be determined with good accuracy from the Stromgren indices, careful abundance analysis must be made for the proposed main targets. This is a time consuming process considering the long list of primary and secondary targets. We have therefore developed new software called VWA for this task. The VWA automatically selects the least blended lines from the atomic line database VALD, and consequently adjusts the abundance in order to find the best match between the calculated and observed spectra. The variability of HD 49434 was discovered as part of COROT ground-based support observations. Here we present a detailed abundance analysis of HD 49434 using VWA. For most elements we find abundances somewhat below the Solar values, in particular we find [Fe/H] = -0.13(14). We also present the results from the study of the variability that is seen in spectroscopic and photometric time series observations. From the characteristics of the variation seen in photometry and in the line profiles we propose that HD 49434 is a variable star of the gamma Doradus type.
The Representation and Use of a Visual Lexicon for Automated Graphics Generation

Most automated graphics generation systems employ either a constructive or a parametric graphics synthesis approach. Constructive graphics synthesis is a deductive approach that builds visual presentations from scratch by gluing together the most basic visual variables. Conversely, parametric graphics synthesis defines a set of parametrized visual models and interprets the information to be presented through instantiation of the selected model. To increase efficiency, we have combined parametric and constructive approaches in a system called IMPROVISE. In this paper, we focus on the parametric aspect of our approach. We present a comprehensive, general, and extensible formalism to represent a visual lexicon for use in automated graphics generation. A visual lexicon is a collection of parametrized primitive visual objects that serve as building blocks for constructing more complex visual presentations. We also illustrate how this representation can be effectively employed to aid the selection and instantiation of a visual lexical item in the graphics generation process. Examples are given from IMPROVISE to demonstrate the representation and use of this visual lexicon.