Miracle-dz/UniFAR-FTUs huggingface dataset:
Using social network analysis for mining collaboration data in a defect tracking system for risk and vulnerability analysis

Open source software projects are characterized as self organizing and dynamic in which volunteers around the world primarily driven by self-motivation (and not necessarily monetary compensation) contribute and collaborate to a software product. In contrast to close source or proprietary software, the organizational structure and task allocation in an open source project setting is unstructured. Software project managers perform risk, threat and vulnerability analysis to gain insights into the organizational structure for de-risking or risk mitigation. For example, it is important for a project manager to have an understanding of critical employees, core team, subject matter experts, sub-groups, leaders and communication bridges. Software repositories such as defect tracking systems, versioning systems and mailing lists contains a wealth of valuable information that can be mined for solving practically useful software engineering tasks. In this paper, we present a systematic approach to mine defect tracking system for risk, threat and vulnerability analysis in a software project. We derive a collaboration network from a defect tracking system and apply social network analysis techniques to investigate the derived network for the purpose of risk and vulnerability analysis. We perform empirical analysis on bug report data of Mozilla Firefox project and present the results of our analysis. We demonstrate how important information pertaining to risk and vulnerability can be uncovered using network analysis techniques from static record keeping software archive such as the bug tracking system.
HAGEES : A High Availability Guaranteed Energy Efficient Scheduling Algorithm for Homogeneous Clusters

High performance clusters play a vital role nowadays both in the industry and research area. In the past decade, some scheduling schemes have been investigated to achieve high availability or energy efficiency in large-scale clusters. However, leveraging scheduling algorithms to ensure high availability and performance while conserving energy remains an open problem. To bridge this technology gap, in this paper, we propose a high availability guaranteed energy efficient scheduling strategy (HAGEES for short) that aims at comprehensively consider the most important three factors, namely, availability, energy conservation, and high performance.
R-cube: A dialogue agent for restaurant recommendation and reservation

This paper describes a hybrid dialogue system for restaurant recommendation and reservation. The proposed system combines rule-based and data-driven components by using a flexible architecture aiming at diminishing error propagation along the different steps of the dialogue management and processing pipeline. The system implements three basic subsystems for restaurant recommendation, selection and booking, which leverage on the same system architecture and processing components. The specific system described here operates with a data collection of Singapore's F&B industry but it can be easily adapted to any other city or location by simply replacing the used data collection.
STRUCTURAL ESTIMATION OF RESIDENTIAL MOBILITY AND HOUSING TENURE CHOICE*

This study is devoted to studying households' decisions about moving and about whether to rent or own after moving. It employs dynamic discrete choice models which condition households' decisions on their circumstances at every point in time during the length of the observation while accounting for individual heterogeneity. The results show that key dynamic elements, captured by means of lagged dependent variables, as well as household heterogeneity, are very significant determinants of the tenure choice and mobility decisions. Moreover, homeowners are found to be responsive to housing market conditions in adjusting their housing stock. Housing price appreciation is found to be discouraging renters from moving and owning. Finally, our results reject the proportional monetary transaction costs specification suggesting that monetary transaction cost might be fixed
Model-based Disturbance Attenuation for Linear Motor Servo System

This paper presents a method using model-based disturbance attenuation (MBDA) to reject external disturbances, such as frictional forces, cutting forces and load variations for a permanent magnet linear synchronous motor (PMLSM) with high precision and micro-feed for CNC machining centers. In this method, a nominal plant is designed in parallel with the plant. Through the output feedback, the error signal, which is the difference between the plant output and the nominal plant output, is achieved by means of a compensator controller in the velocity loop. Accordingly, disturbance attenuation can be attained. In addition, an integral and proportional (IP) controller is designed directed toward the velocity loop to cater the fast tracking and resist disturbance greatly. Simulation results show that this proposed method has quick-response speed and strong disturbance attenuation. Moreover, machining precision can be improved remarkably
The impact of persistent bacterial bronchitis on the pulmonary microbiome of children

Persistent bacterial bronchitis is a leading cause of chronic wet cough in young children. This study aimed to characterise the respiratory bacterial microbiota of healthy children and to assess the impact of the changes associated with the development of persistent bacterial bronchitis. Blind, protected brushings were obtained from 20 healthy controls and 24 children with persistent bacterial bronchitis, with an additional directed sample obtained from persistent bacterial bronchitis patients. DNA was extracted, quantified using a 16S rRNA gene quantitative PCR assay prior to microbial community analysis by 16S rRNA gene sequencing. No significant difference in bacterial diversity or community composition (R2 = 0.01, P = 0.36) was observed between paired blind and non-blind brushes, showing that blind brushings are a valid means of accessing the airway microbiota. This has important implications for collecting lower respiratory samples from healthy children. A significant decrease in bacterial diversity (P < 0.001) and change in community composition (R2 = 0.08, P = 0.004) was observed between controls and patients. Bacterial communities within patients with PBB were dominated by Proteobacteria, and indicator species analysis showed that Haemophilus and Neisseria were significantly associated with the patient group. In 15 (52.9%) cases the dominant organism by sequencing was not identified by standard routine clinical culture. The bacteria present in the lungs of patients with persistent bacterial bronchitis were less diverse in terms of richness and evenness. The results validate the clinical diagnosis, and suggest that more attention to bacterial communities in children with chronic cough may lead to more rapid recognition of this condition with earlier treatment and reduction in disease burden.
Effect of an Injury Prevention Program on Muscle Injuries in Elite Professional Soccer

Abstract Owen, AL, Wong, DP, Dellal, A, Paul, DJ, Orhant, E, and Collie, S. Effect of an injury prevention program on muscle injuries in elite professional soccer. J Strength Cond Res 27(12): 3275–3285, 2013—Due to the continual physical, physiological, and psychological demands of elite level soccer increasing the incidence and risk of injuries, preventative training programs have become a common feature of soccer players training schedule. The aim of the current investigation was to examine the effectiveness of a structured injury prevention program on the number of muscle injuries and the total number of injuries within elite professional soccer. The present study was conducted over 2 consecutive seasons, of which the first (2008–2009) being the intervention season and the second the control season (2009–2010). In total, 26 and 23 elite male professional soccer players competing within the Scottish Premier League and European competition participated. The training program was performed twice weekly for the entirety of the season (58 prevention sessions). The results revealed an increase in the total number of injuries within the intervention season (88 vs. 72); however, this was largely due to the greater number of contusion injuries sustained within the intervention season (n = 44) when compared with control season (n = 23). Significantly less muscle injuries were observed during the intervention season (moderate effect), and this occurred concomitant with a bigger squad size (large effect, p < 0.001). The findings from this study identify that a multicomponent injury prevention–training program may be appropriate for reducing the number of muscle injuries during a season but may not be adequate to reduce all other injuries.
Validation of wearable monitors for assessing sedentary behavior.

PURPOSE A primary barrier to elucidating the association between sedentary behavior (SB) and health outcomes is the lack of valid monitors to assess SB in a free-living environment. The purpose of this study was to examine the validity of commercially available monitors to assess SB. METHODS Twenty overweight (mean ± SD: body mass index = 33.7 ± 5.7 kg·m(-2)) inactive, office workers age 46.5 ± 10.7 yr were directly observed for two 6-h periods while wearing an activPAL (AP) and an ActiGraph GT3X (AG). During the second observation, participants were instructed to reduce sitting time. We assessed the validity of the commonly used cut point of 100 counts per minute (AG100) and several additional AG cut points for defining SB. We used direct observation (DO) using focal sampling with duration coding to record either sedentary (sitting/lying) or nonsedentary behavior. The accuracy and precision of the monitors and the sensitivity of the monitors to detect reductions in sitting time were assessed using mixed-model repeated-measures analyses. RESULTS On average, the AP and the AG100 underestimated sitting time by 2.8% and 4.9%, respectively. The correlation between the AP and DO was R2 = 0.94, and the AG100 and DO sedentary minutes was R2 = 0.39. Only the AP was able to detect reductions in sitting time. The AG 150-counts-per-minute threshold demonstrated the lowest bias (1.8%) of the AG cut points. CONCLUSIONS The AP was more precise and more sensitive to reductions in sitting time than the AG, and thus, studies designed to assess SB should consider using the AP. When the AG monitor is used, 150 counts per minute may be the most appropriate cut point to define SB.
Self-management and psychological-sexological interventions in patients with endometriosis: strategies, outcomes, and integration into clinical care

Endometriosis has a multifactorial etiology. The onset and progression of the disease are believed to be related to different pathogenic mechanisms. Among them, the environment and lifestyle may play significant roles. Diet, dietary supplements, physical exercise, osteopathy, massage, acupuncture, transcutaneous electrical nerve stimulation, and Chinese herbal medicine may represent a complementary and feasible approach in the treatment of symptoms related to the disease. In this narrative review, we aimed to examine the most updated evidence on these alternative approaches implicated in the self-management of the disease. In addition, several studies have demonstrated that endometriosis may negatively impact mental health and quality of life, suggesting that affected women may have an increased risk of developing psychological suffering as well as sexual problems due to the presence of pain. In light of these findings, we discuss the importance of integrating psychological interventions (including psychotherapy) and sexual therapy in endometriosis treatment.
CONVERSATIONAL STRATEGIES IN MANAGEMENT UNION NEGOTIATIONS

The paper analyses conversational strategies used in a Romanian negotiation transcript following management union talks on payment issues. After defining negotiation using concepts from Pragma- Dialectics and the New Rhetoric as a type of argumentative genre, the Romanian negotiation sample is compared to English negotiation samples highlighting the fact that the overall generic structure as well as many of the argument types is similar. Differences, however, can be encountered on the stylistic level. The author uses conversational analysis to establish the role of formulations, accounts, and thromises (a particular type of speech act based on a combination between a threat and a promise) in the sequential unfolding of the negotiation process. The Romanian negotiation style as it emerges from this single transcript analysed seems to be more competitive, even slightly more aggressive than its English counterparts are.
In-situ high-temperature electromagnetic characterization of ceramic composite tiles for strategic applications

In this paper free space microwave measurement setup has been integrated with the high temperature (HT) cell for the in-situ electromagnetic characterization. The experimental-setup is capable of operating in the frequency range from 5.85–40 GHz along with the in-situ material characterization from ambient to 1200°C. In this present work, experiment has been carried out for X band (8.2–12.4GHz) frequency region. The measurement system has been integrated with the dedicated software, which interfaces with the vector network analyzer and the temperature controller. In order to validate the experimental set-up, measurement is performed for the standard samples, after that the material under test is evaluated for characterization. Here the proposed integrated set-up has been used for testing of ceramic samples which are quite often used for application in defence strategic products. The proposed integrated set-up is ideally suited for electromagnetic characterization of day to day routine samples as well as as for various industrial applications.
Radial glia – from boring cables to stem cell stars

The discovery in the year 2000 that radial glial cells act as neural stem and progenitor cells in development has led to a change in the concept of neural stem cells in the adult brain. Not only are adult stem cells in the neurogenic niches glial in nature, but also glial cells outside these niches display greater potential when reacting to brain injury. Thus, a concept that emerged from developmental studies may hold the clue for neural repair.
Policy Reforms and Stability of the Money Demand Function in India

The traditional policy regimes need to be re-examined in the wake of the fast-emerging globalised world economy. This is particularly true in the case of developing economies and more so when it comes to monetary policy. This is because of the growing link between domestic money and financial markets on the one hand and the foreign exchange market on the other. A central building block in this context is the money demand function which must be stable and able to provide adequate linkages for policy formulation. This is the focus of this exercise as it attempts to relate the demand for real stock of money to the exchange rate, and to other familiar variables like rate of inflation, interest rate and the level of economic activity. The results are significant from the policy point of view under the new economic policy regime.
Wavelet transformation based tremor removal

One of the main problems in minimum invasive robotic surgery is effective control of the tracking error due to hand tremor. In this paper we review issues of hand tremor using surgical robot and propose a novel technique using wavelet transform with minimum coefficients to get a tremor free signal. In the parameter learning phase the error is minimized with minimum wavelet compression and as time progress the coefficients get stored to calculate the unknown parameters. Simultaneously the unused coefficients will be discarded to remove the data redundancy for faster processing and real time tracking.
Interaction of recombinant myocilin with the matricellular protein SPARC: functional implications.

PURPOSE Myocilin is an extracellular glycoprotein with unknown function that is associated with glaucoma. Calpain II cleaves recombinant myocilin within the linker region of the protein, releasing the C-terminal olfactomedin domain from the N-terminal domain. The authors previously reported that myocilin interacts with the C-terminal region of hevin, a secretory glycoprotein belonging to the SPARC family of matricellular proteins. This study aims to investigate the interaction of myocilin with SPARC. METHODS Protein-protein interactions were evaluated by the yeast two-hybrid system. The positive interactions were confirmed by solid-phase binding assays using Ni-chelating HPLC purified recombinant proteins and coexpression of recombinant proteins in HEK-293T cells. Coexpression of myocilin, SPARC, and hevin in ocular tissues was identified by immunoflorescence microscopy, Western blot, and array-based gene profiling. RESULTS Yeast two-hybrid analyses showed that myocilin interacted with the highly conserved C-terminal extracellular calcium binding (EC) domain within SPARC and hevin. Solid-phase binding assays confirmed these interactions and showed that both myocilin and its C-terminal olfactomedin fragment interacted noncovalently with SPARC and a peptide containing the EC domain of SPARC. Full-length myocilin interacted with higher affinity with SPARC and its EC domain than the myocilin C-terminal fragment. Coexpression of the two recombinant proteins in HEK-293T cells also indicated their intracellular interaction. CONCLUSIONS Recombinant myocilin and SPARC interact through their C-terminal domains. The data suggest that the proteolytic processing of myocilin modulates this interaction as well as the interactions of myocilin with other extracellular matrix and matricellular proteins, further supporting a functional role for this proteolytic cleavage.
Determinants of inter-industry variations in research and development efforts in Indian manufacturing sector: a dynamic panel data analysis

Several studies have explored the determinants of firms' innovative efforts, but a consensus on the conceptual underpinnings and empirical manifestations of these determinants is yet to emerge. This paper attempts to understand the role of several factors in determining inter-industry variations in research and development (R&D) efforts in Indian manufacturing sector. Using Arellano–Bond dynamic panel estimation technique and a panel data set of 34 manufacturing industries over the period from 2001–2002 to 2008–2009, the paper finds that firms in industries with greater R&D efforts in the past, larger participation of the multinational corporations (MNCs), higher capital intensity, and greater penetration in the international market through exports spend more on R&D. On the other hand, R&D efforts are less in industries with larger incidence of mergers and acquisitions (M&A) and greater competition from imports. The degree of sellers' concentration in a market, size of the market, product differentiation, purchase of technology, and the level and variations profitability do not make any significant difference in R&D intensity across industries. Our findings raise some important policy issues relating to encouraging entry of MNCs through Greenfield investments, restricting M&A, and promoting exports.
Empirical Games: The Oligopoly Case

In this paper, I examine methods used to construct and estimate game-theoretic models of oligopolistic interactions, and I survey some of the empirical findings. Both static and dynamic games are covered. Static models provide useful summary statistics concerning the outcomes of oligopolistic interaction, whereas dynamic models attempt to capture more complex strategic behavior. In the exposition of static games, I consider two empirical approaches: the first-order approach and the dual approach. When we turn to dynamics, I limit my remarks to state-space games - games in which actions taken in one period shift payoffs in subsequent periods. With state-space games, all history that is pay-off relevant is summarized by a small set of variables - the state - and players' strategies depend only on the state and time.
Whole grain intake and its cross-sectional association with obesity, insulin resistance, inflammation, diabetes and subclinical CVD: The MESA Study

We examined the relationship between whole grain intake and obesity, insulin resistance, inflammation, diabetes and subclinical CVD using baseline data from the Multi-Ethnic Study of Atherosclerosis. Whole grain intake was measured by a 127-item FFQ in 5496 men and women free of CHD and previously known diabetes. Mean whole grain intake was 0·5 (sd 0·5) servings per d; biochemical measures reflect fasting levels. After adjustment for demographic and health behaviour variables, mean differences for the highest quintile of whole grain intake minus the lowest quintile of intake were 0·6 kg/m2 for BMI, 0·36 mg/l for C-reactive protein, 0·82 μmol/l for homocysteine, 0·15 mU/l*mmol/l for homeostasis model assessment (HOMA), 0·48 mU/l for serum insulin, 2·0 mg/dl for glucose and 5·7 % for prevalence of newly diagnosed impaired fasting glucose (glucose ≥ 100 mg/dl or diabetes medication). These differences represent 11–13 % of a standard deviation of BMI, HOMA, glucose and impaired fasting glucose, but 23 %, 52 % and 80 % of a standard deviation of homocysteine, C-reactive protein and insulin, respectively. An inverse association between whole grains and urine albumin excretion was suggested but retained statistical significance after adjustment only in Chinese and Hispanic participants. No associations were observed between whole grain intake and two subclinical disease measures: carotid intima-media thickness and coronary artery calcification. Concordant with previous research, whole grain intake was inversely associated with obesity, insulin resistance, inflammation and elevated fasting glucose or newly diagnosed diabetes. Counter to hypothesis, however, whole grain intake was unrelated to subclinical CVD.
A Hierarchical Cloud Pricing System

Cloud computing is experiencing phenomenal growth and there are now many vendors offering their cloud services. In cloud computing, cloud providers cooperate together to offer their computing resource as a utility and software as a service to customers. The demands and the price of cloud service should be negotiated between providers and users based on the Service Level Agreement (SLA). In order to help cloud providers achieving an agreeable price for their services and maximizing the benefits of both cloud providers and clients, this paper proposes a cloud pricing system consisting of hierarchical system, M/M/c queuing model and pricing model. Simulation results verify the efficiency of our proposed system.
Impact of Trade Liberalization and Exchange Rate Policy on Industrial Water Pollution and Groundwater Depletion

Environmentalists and economists alike have assumed that greater economic openness will lead to increased industrial pollution in developing countries. This paper argues that trade liberalization does not necessarily result in more pollution intensive industrial development using the case of two economic centers in the Philippines. The study links changes in trade and exchange rate policy to the environment by identifying the environmental damage likely to be aggravated by the policy change through its effects on water usage. Specifically, it examines whether and in what way trade liberalization and exchange rate policy will affect water pollution and groundwater depletion. Results of a partial equilibrium model, which relates changes in industry outputs to changes in their effective rates of protection (EPR) and changes in the real exchange rate, are linked to firm level data for Metro Manila and Metro Cebu on water pollution, water use intensities and source of water.