bluuebunny/crossref_metadata_2025 huggingface dataset:
“I (might be) just that good”: Honest and deceptive impression management in employment interviews
Authors: Bourdage Joshua S. , Roulin Nicolas , Tarraf Rima
Published: June 2018

Applicant use of impression management (IM) tactics plays a central role in employment interviews. IM includes behaviors intended to create an impression of competence and likability, and avoid negative impressions. Applicants can influence interviewers’ impressions using both honest and deceptive IM, but measurement of IM has yet to distinguish these two constructs. The goal of the present research was to develop a self‐report Honest Interview Impression Management (HIIM) measure and use this to investigate differential antecedents and consequences of honest and deceptive IM. We report the results of five independent studies (total N = 1,470 interviewees). Studies 1–3 detail the creation of a self‐report measure of honest IM. Studies 4 and 5 utilize this measure to understand the relations between honest and deceptive IM, and their antecedents and consequences. Results demonstrate that honest and deceptive IM are positively related but distinct constructs that have unique antecedents (i.e., age, individual differences, attitudes, situational, and target characteristics) and differentially impact interview outcomes and ratings. Finally, we present a short measure of honest and deceptive IM to be used for time‐sensitive data collection.
Hemodialysis‐related amyloidosis: Is it still relevant?
Authors: Kaneko Shuzo , Yamagata Kunihiro
Published: June 2018

Accumulation of amyloid fibrils from β2‐microglobulin (β2M) was first recognized as a characteristic osteoarticular complication in long‐term hemodialysis (HD) patients and called “HD‐related amyloidosis” (HRA). However, this syndrome can also be observed in end‐stage renal diseases (ESRD) patients undergoing peritoneal dialysis, and even in patients with chronic renal failure before the initiation of dialytic therapy, suggesting that HD is not a direct cause but that accumulation of β2M or some β2M‐associated molecules in the body is a common pathogenesis. Currently the term “dialysis‐related amyloidosis” (DRA) is widely used for β2M‐amyloid (Aβ2M) amyloidosis associated with ESRD, although DRA patients consist mostly of those undergoing long‐term HD. Factors other than β2M accumulation also play a role in the formation/local deposition of Aβ2M and disruption of tissue architecture. Conformational changes of β2M by misfolding/unfolding, and promoting/inhibitory effects induced by other coexisting molecules, advanced glycation and oxidation, and direct cell toxicity have also been documented. Two technological improvements of HD have been the keys to prevent the development and progression of DRA: the efficient removal of β2M by using high‐flux membranes, high‐volume convection and adsorptive column/membrane, as well as the use of biocompatible membranes and dialysates (eg, ultrapure and acetate‐free dialysates) have minimized both inflammation and β2M production. Epidemiologically, a decrease in the incidence of DRA has recently been reported; however, longer survival of HD patients may contribute to the development of more DRA, though with a delayed onset. In this article, we describe the pathogenesis of DRA, the strategies developed for its prevention and minimization, and the favorable epidemiological data achieved by these efforts.
Double bridge circuit for self‐validated structural health monitoring strain measurements
Authors: dos Reis J. , Oliveira Costa C. , Sá da Costa J.
Published: June 2018

In structural health monitoring (SHM) applications, sensor faults and structural damage need to be assuredly discriminated. A self‐diagnosis strain sensor operating in a continuous online SHM scenario is considered. The strain sensor is based on full electric resistance strain gauge Wheatstone bridges. The state of the art shows that such a sensor has not yet been developed. The loop current step response (LCSR) is a well‐known method to detect strain gauge debonding. However, applying the LCSR method to a full strain gauge Wheatstone bridge has some limitations analysed in this paper. To enable the use of the LCSR method in an online SHM scenario, the double bridge circuit is proposed in this work. Two new strain gauge debonding fault detection methods and a new debonding fault isolation method—based on the double bridge circuit measurements—are proposed and evaluated. Two new sensor fusion weighting approaches are also proposed and evaluated—to achieve strain gauge debonding fault tolerance on the double bridge circuit. The experimental results show that the proposed methods can detect, isolate, and tolerate a strain gauge grid debonding fault and can be applied in an online SHM self‐diagnosis sensor scenario.
Identification of a new HLA‐A*11 allele, A*11:251N
Authors: Kim S. K. , Im J. , Yoon C. E. , Oh H.‐B.
Published: June 2018

The new allele, A*11:251N, differs from A*11:01:01 by insertion of two nucleotides at position 204‐205.
Serum myoglobin, creatine kinase, and cell‐free DNA in endurance sled dogs and sled dogs with clinical rhabdomyolysis
Authors: Devall Veronica C. , Goggs Robert , Hansen Christina , Frye Christopher W. , Letendre Jo‐Annie , Wakshlag Joseph J.
Published: June 2018

Objective

To evaluate whether cell‐free DNA (cfDNA) concentrations are increased in dogs with exertional rhabdomyolysis and whether concentrations are correlated with serum myoglobin concentration and creatine kinase activity.

Design

Observational cohort study.

Setting

Yukon Quest 1,000‐mile International Sled Dog Race 2015.

Animals

Twelve normal competitive sled dogs; 5 dogs with rhabdomyolysis.

Interventions

None.

Measurements and Main Results

Blood was collected from all confirmed cases of exertional rhabdomyolysis and compared to the winning team at the midrace point. Results indicate that median cfDNA did not increase, but decreased by the race finish (prerace = 314.2 ng/mL versus midrace = 283.7 ng/mL versus postrace = 249.5 ng/mL). There were no rises in median cfDNA in dogs with rhabdomyolysis (255 ng/mL) negating its potential utility as a measure of acute skeletal muscle compromise. In contrast, myoglobin concentration and creatine kinase activity at the midrace point for normal dogs were significantly lower than dogs with rhabdomyolysis. Values for myoglobin and creatine kinase were strongly positively correlated (R = 0.91).

Conclusions

cfDNA is not a useful biomarker for exertional rhabdomyolysis in contrast to myoglobin and creatine kinase. Further evaluation of timing and clinical signs suggests that exertional rhabdomyolysis occurs early in endurance activities. Among the dogs with rhabdomyolysis, the dog that demonstrated clinical signs had the highest serum creatine kinase activity and myoglobin concentration.
Economic Uncertainty and Money Demand Stability in Uganda during Financial Liberalization: A GARCH and ARDL Approach
Authors: Kayongo Allan , Guloba Asumani
Published: June 2018

This paper examines the impact of economic uncertainty on money demand stability in Uganda during financial liberalization. First, an economic uncertainty index is created using the Generalized autoregressive conditional heteroscedasticity  method to measure uncertainty. Secondly, the Autoregressive Distributed Lag  methodology is used to estimate three risk-augmented monetary aggregates: base money, broad money  and broad money . The results show that economic uncertainty has no effect on real base money and real broad money  in the short run; but has a negative effect on real broad money . However, economic uncertainty negatively affects all monetary aggregates after one quarter. This is because economic agents diversify their portfolio from just holding money, into other forms like: long term accounts; foreign accounts; treasury bills and bonds; property; mortgages and land. The three money demand balances are also stable.
A Comparison of 5, 10, 30 Meters Sprint, Modified T-Test, Arrowhead and Illinois Agility Tests on Football Referees
Authors: Muniroglu Surhat , Subak Erdem
Published: June 2018

The ability of change of direction quickly, in other words agility, and short distance sprinting speed are two of the most important performance components for football referees. The tests used by FIFA and UEFA such as Cooper Test, Yo-Yo Intermittent Test, 40 × 75 m tests do not include testing the agility skills of the referees. However, especially the field referees changing their activities constantly. Otherwise, the short distance sprinting is another important factor to well positioning of the football referees. Especially, the assistant referees frequently performs short sprints to follow the offside line. For these reasons, we have compared 5 m, 10 m, 30 m sprint tests, T-Test, Arrowhead Agility Test and Illinois Agility Test scores of the football referees working in Ankara (City referees). All referees performed sprint tests twice and performed the agility tests one time. All tests have shown normal distribution frequencies. Our results showed that all of the six tests have shown positive correlations between (P<0,01). Additively, it could be said that the agility skill has a relationship with short distance sprinting because of the referees who showed better sprint performances were also found to have higher agility scores. Consequently, each of the 5 m, 10 m, 30 m, T-Test, Arrowhead and Illinois Agility Test could be used to assess the performance of the referees.
Direct metal etch of ruthenium for advanced interconnect
Authors: Paolillo Sara , Wan Danny , Lazzarino Frédéric , Rassoul Nouredine , Piumi Daniele , Tőkei Zsolt
Published: June 2018

In this work, Ru wires patterning by direct etch are evaluated for a potential 5 nm technology node. The characteristics of Ru etching by varying the bias voltage, total flow rate and Cl2/(O2+Cl2) gas flow ratio are studied in an inductively couple plasma etching chamber. Ru sidewalls profile with a tapering angle of 90° and Ru to SiO2 hard mask etch selectivity of 6 are achieved. The authors show the feasibility of patterning lines with an aspect ratio up to 3.5 and lines with a critical dimension down to 10.5 nm (with a 3σ line width roughness of 4.2 nm), which paves the way to further scaling of this approach. Finally, the authors present a study on Ru line roughness after patterning on 300 mm wafers. Here, they compare line roughness results of wafers where Ru is deposited with different deposition techniques, such as atomic layer deposition and plasma vapor deposition, and it is annealed after deposition at various temperatures.
Dry etch damage in n-type crystalline silicon wafers assessed by deep-level transient spectroscopy and minority carrier lifetime
Authors: Simoen Eddy , Sivaramakrishnan Radhakrishnan Hariharsudan , Gius Uddin Md. , Gordon Ivan , Poortmans Jef , Wang Chong , Li Wei
Published: June 2018

This paper compares the electrically active damage in dry-etched n-type float-zone silicon, using NF3/Ar or H2-plasma exposure and assessed by deep-level transient spectroscopy (DLTS) and recombination lifetime analysis. It is shown that the NF3/Ar-plasma damage consists of at least four different types of electron traps in the upper half of the band gap, which can be associated with vacancy- and vacancy-impurity-related complexes. In the case of H2-plasma damage, it is believed that the accumulation of point defects results in a gradual disordering of the near-surface layer. These defect levels also act as recombination centers, judged by the fact that they degrade the minority carrier lifetime. It is finally shown that lifetime measurements are more sensitive to the etching-induced damage than DLTS.
The Education of Sport Coaches: What Should They Learn and When Should They Learn It?
Authors: Hedlund David P. , Fletcher Carol A. , Pack Simon M. , Dahlin Sean
Published: June 2018

Around the world, there is a growing movement to improve sport coaching education. In recent years, the International Council for Coaching Excellence (ICCE) has begun to address questions related to the education, training and development of sport coaches through the publication of the International Sport Coaching Framework (ISCF) and the Sport Coaching Bachelor Degree Standards (SCBDS). In the United States, because sport coaches can undertake a wide variety of coaching-related educational opportunities, the United States Olympic Committee has taken steps to address the disparity in training through the publishing of the Quality Coaching Framework (QCF). All of these documents provide valuable information about the best principles for educating and training sport coaches. While principles, standards and theories provide valuable overarching information about how to organize education, specific information about what topics should actually be taught in education programs is still lacking. In this manuscript, utilizing principles of participation versus performance sport and professional knowledge, intra- and interpersonal skills, information about what and when to teach important sport coaching topics is proposed.
Coaching Athletes With Hidden Disabilities: Using Universal Design for Learning to Effectively Coach all Athletes
Authors: Vargas Tiffanye M. , Beyer Robbi , Flores Margaret M.
Published: June 2018

The coach serves an integral role in shaping the youth sport experience. For athletes with hidden disabilities (HD), participation in sports may be a negative experience because their coach may misperceive or misunderstand their behaviors. This can lead to attrition, and the resultant loss of opportunity to gain the many benefits sports can offer. However, there are research validated strategies that can help coaches more effectively teach and work with athletes within the educational realm that has yet to be implemented within coaching education. These strategies fall under a framework called Universal Design for Learning (UDL). UDL is a proactive approach in which coaches anticipate diversity and plan accessible activities. Therefore, the purpose of this paper is to review the recent research on coaching athletes with HD, and to provide practical tips for coaching not only athletes with HD, but rather ALL athletes, in the most effective way using Universal Design for Learning.
Activity of RX-04 Pyrrolocytosine Protein Synthesis Inhibitors against Multidrug-Resistant Gram-Negative Bacteria
Authors: Vickers Anna , Mushtaq Shazad , Woodford Neil , Doumith Michel , Livermore David M.
Published: June 2018

Pyrrolocytosines RX-04A to -D are designed to bind to the bacterial 50S ribosomal subunit differently from currently used antibiotics. The four analogs had broad anti-Gram-negative activity: RX-04A—the most active analog—inhibited 94.7% of clinical
Enterobacteriaceae
,
Acinetobacter baumannii
, and
Pseudomonas aeruginosa
at 0.5 to 4 μg/ml, with no MICs of >8 μg/ml.
Pharmacological Inhibition of the Vacuolar ATPase in Bloodstream-Form Trypanosoma brucei Rescues Genetic Knockdown of Mitochondrial Gene Expression
Authors: Schaffner-Barbero Claudia , Miskinyte Migla , Grewal Jaspreet Singh , Schnaufer Achim
Published: June 2018

Trypanosomatid parasites cause diseases in humans and livestock. It was reported that partial inhibition of the vacuolar ATPase (V-ATPase) affects the dependence of
Trypanosoma brucei
on its mitochondrial genome (kinetoplast DNA [kDNA]), a target of the antitrypanosomatid drug isometamidium.
Physical exercise programme during pregnancy decreases perinatal depression risk: a randomised controlled trial
Authors: Vargas-Terrones Marina , Barakat Ruben , Santacruz Belen , Fernandez-Buhigas Irene , Mottola Michelle F
Published: June 2018

Introduction

The incidence of depression is high during the perinatal period. This mood disorder can have a significant impact on the mother, the child and the family.

Objective

To examine the effect of an exercise programme during pregnancy on the risk of perinatal depression.

Methods

Healthy women who were <16 weeks pregnant were randomly assigned to two different groups. Women in the intervention group participated in a 60 min exercise programme throughout pregnancy, 3 days per week, which was conducted from October 2014 to December 2016. The Center for Epidemiological Studies-Depression Scale was used to measure the risk of depression at the beginning of the study (12–16 weeks), at gestational week 38 and at 6 weeks postpartum.

Results

One hundred and twenty-four pregnant women were allocated to either the intervention (IG=70) or the control (CG=54) group. No differences were found in the percentage of depressed women at baseline (20% vs 18.5%) (χ2=0.043; p=0.836). A smaller percentage of depressed women were identified in the IG compared with the CG at 38 gestational weeks (18.6% vs 35.6%) (χ2=4.190; p=0.041) and at 6 weeks postpartum (14.5% vs 29.8%) (χ2=3.985; p=0.046) using the per-protocol analysis. No significant differences were found using the intention-to-treat analyses, except in the multiple imputation analysis at week 38 (18.6% vs 34.4%) (χ2=4.085; p=0.049).

Conclusion

An exercise programme performed during pregnancy may reduce the prevalence of depression in late pregnancy and postpartum.

Trial registration number

NCT02420288; Results.
Frequency and nature of potentially harmful preventable problems in primary care from the patient’s perspective with clinician review: a population-level survey in Great Britain
Authors: Stocks Susan Jill , Donnelly Ailsa , Esmail Aneez , Beresford Joanne , Luty Sarah , Deacon Richard , Danczak Avril , Mann Nicola , Townsend David , Ashley James , Gamble Carolyn , Bowie Paul , Campbell Stephen M
Published: June 2018

Objectives

To estimate the frequency of patient-perceived potentially harmful problems occurring in primary care. To describe the type of problem, patient predictors of perceiving a problem, the primary care service involved, how the problem was discussed and patient suggestions as to how the problem might have been prevented. To describe clinician/public opinions regarding the likelihood that the patient-described scenario is potentially harmful.

Design

Population-level survey.

Setting

Great Britain.

Participants

A nationally representative sample of 3975 members of the public aged ≥15 years interviewed during April 2016.

Main outcome measures

Counts of patient-perceived potentially harmful problems in the last 12 months, descriptions of patient-described scenarios and review by clinicians/members of the public.

Results

3975 of 3996 participants in a nationally representative survey completed the relevant questions (99.5%). 300 (7.6%; 95% CI 6.7% to 8.4%) of respondents reported experiencing a potentially harmful preventable problem in primary care during the past 12 months and 145 (48%) discussed their concerns within primary care. This did not vary with age, gender or type of service used. A substantial minority (30%) of the patient-perceived problems occurred outside general practice, particularly the dental surgery, walk in clinic, out of hours care and pharmacy. Patients perceiving a potentially harmful preventable problem were eight times more likely to have ‘no confidence and trust in primary care’ compared with ‘yes, definitely’ (OR 7.9; 95% CI 5.9 to 10.7) but those who discussed their perceived-problem appeared to maintain higher trust and confidence. Generally, clinicians ranked the patient-described scenarios as unlikely to be potentially harmful.

Conclusions

This study highlights the importance of actively soliciting patient’s views about preventable harm in primary care as patients frequently perceive potentially harmful preventable problems and make useful suggestions for their prevention. Such engagement may also help to improve confidence and trust in primary care.
British Thoracic Society Guideline for the initial outpatient management of pulmonary embolism
Authors: Howard Luke S , Barden Steven , Condliffe Robin , Connolly Vincent , Davies Chris , Donaldson James , Everett Bernard , Free Catherine , Horner Daniel , Hunter Laura , Kaler Jasvinder , Nelson-Piercy Catherine , O’Dowd Emma , Patel Raj , Preston Wendy , Sheares Karen , Tait Campbell
Published: June 2018

The following is a summary of the recommendations and good practice points for the BTS Guideline for the initial outpatient management of pulmonary embolism. Please refer to the full guideline for full information about each section.
Vertical cyclic loading response of shallow skirted foundation in soft normally consolidated clay
Authors: Zografou Dimitra , Gourvenec Susan , O’Loughlin Conleth
Published: June 2018

Skirted foundations are a potential foundation solution for a range of offshore structures, including hydrocarbon and renewable energy platforms and subsea structures. Offshore foundations can be subject to cyclic loading from environmental, installation, and operational events affecting the geotechnical response. A series of centrifuge tests have been performed on a shallow skirted foundation on normally consolidated kaolin clay under a range of vertical cyclic load sequences to investigate the effect of tensile or compressive average stress, the magnitude of the applied stress, and the effect of cyclic loading of low magnitude followed by consolidation on the foundation response. Results are presented as vertical foundation displacements normalized by the foundation geometry and interpreted within the traditional shear-strain contour approach. The findings indicate that the average, rather than maximum, vertical stress defines the foundation vertical displacement response and failure mode, a threshold stress exists below which a steady state is maintained even at a high number of cycles, and geotechnical resistance increases as a result of low-level cyclic loading followed by consolidation.
Seedling emergence and early growth of Chinese fir under different light levels and seed positions: implications for natural regeneration
Authors: Liu Bo , Liu Qingqing , Daryanto Stefani , Ma Xiangqing , Guo Si , Wang Lixin , Wang Zhengning
Published: June 2018

Chinese fir, Cunninghamia lanceolata (Lamb.) Hook. (Taxodiaceae), is an evergreen conifer primarily distributed in southern China. This species exhibits very poor natural regeneration, possibly due to low light and a thick litter layer. To improve the understanding of the natural regeneration capacity of Chinese fir, in this study, we conducted a shade house experiment to determine the optimum light requirements and seed positions for seedling emergence and early growth. The experiment involved five light levels (100%, 60%, 40%, 15%, 5% of full sunlight) and four seed positions (1 cm beneath the soil surface without litter, on the soil surface without soil–seed contact, on the soil surface and covered with litter, and 1 cm beneath the soil surface and covered with litter). Seedling emergence was highest at 5%–15% sunlight, whereas seedling height, root length, root mass, stem mass, leaf mass, and total mass were highest at 60% sunlight. For each light level, seed position significantly affected emergence and growth. The above-litter position inhibited seedling emergence and survival, while the below-litter position favored seedling emergence and early growth, particularly under high light levels. Based on these results, to enhance natural regeneration of Chinese fir, we recommend periodical thinning to increase light into the understory after successful seedling emergence. We also recommend sowing seeds deeper into the litter to improve soil contact and moisture conditions.
New solid particle seeding generator for laser-based velocity measurements in reacting flows
Authors: Saediamiri Meghdad , Birouk Madjid
Published: June 2018

The design of a new solid particle seeding generator for laser-based velocity measurements in gaseous flows is reported. Performance tests revealed that the new seeder has the ability to control the concentration of seeding particles in a flow independently of the flowrate. It also can provide a steady supply of seeding particles, operate over an extended range of flowrate, and break up agglomerates into smaller particles. These features give this seeder advantages over its counterparts, especially at low volumetric flowrate.
Simulation study of traffic circle intersection with traffic lights
Authors: Lakouari N. , Oubram O. , Marzoug R. , Ez-Zahraouy H. , Velásquez-Aguilar J. G. , Cisneros-Villalobos L.
Published: June 2018

Using the Nagel-Schreckenberg model, we investigate the flow characteristics in a traffic circle system, where the entry lanes are controlled by traffic lights operating in a fixed-time ([Formula: see text]. We considered four different strategies to control traffic coming from [Formula: see text] entry lanes. We found that depending on the strategy used, four distinct traffic phases can appear in the circulating lane of the traffic circle, namely free flow, congestion, maximum current, and gridlock. Also, we investigate the origin of the gridlock phase in both cases (i.e. with/without traffic lights). Furthermore, the lengths of queues of stopped vehicles in the entry lanes were studied. We found that the traffic flow behavior on the exit/entry lanes depends strongly on the flow characteristics at the circulating lane as well as traffic lights strategy. To improve the operation of the traffic circle system, we have studied the time delay between the traffic lights to switch where all entry lanes go red, which allowing vehicles to clear the circulating lane.
Fractional order car-following model and its simulation
Authors: Zhang Yong , Zhao Jie-Mei
Published: June 2018

In order to depict the effect of driver’s memory on car-following behavior, a new kind of car-following model is proposed by using fractional order differential equation in this paper. Its dynamic equation is defined by Caputo fractional order derivative. And the order of derivative is the measurement of driver’s memory. In addition, discrete formulas of the position and velocity of the new model are given. The Optimal Velocity (OV) model is taken as an example to introduce how to get the fractional order car-following model from an ordinary model. The simulation results show that the Fractional Order Optimal Velocity (FOOV) model is more stable, and it can avoid unrealistic acceleration values of the OV model in the cases of starting and braking processes. Moreover, magnitudes of the speed and headway fluctuation of the FOOV model with a suitable order are smaller than those of the OV model. This indicates that the memory characteristic of drivers increases the stability of traffic flow.
An Adaptation of Context and Trust Aware Workflow Oriented Access Control for Remote Healthcare
Authors: Bhattasali Tapalina , Chaki Rituparna , Chaki Nabendu , Saeed Khalid
Published: June 2018

Traditional discretionary access control (DAC) or mandatory access control (MAC) is not quite effective for remote environment. General role-based access control (RBAC) also has its limitations to control access for applications like remote healthcare due to its static nature. Design of effective access control model is indeed a big challenge for such applications. Fine-grained access control logic capable of adapting changes based on run-time information needs to be considered to meet the requirements of remote healthcare scenarios. In this work, an adaptive access control model is proposed keeping in compliance with state–of-the-art scenario towards ensuring quality of context and trust relationship between owners and users. It focuses on inter-component relationship, where phases are executed either in online or in offline mode to avoid performance bottleneck. Adaptive binding is integrated with application specific workflows. Workflow net models for different scenarios of medical kiosk-based rural healthcare are analyzed to validate proposed access control logic at design time that can reduce the possibility of major faults at run time. Our proposed work supports formal analysis and verification using Workflow Petri Net Designer (WoPeD) tool. Comparative analysis shows how proposed access control model advances the state of art.
An Empirical Study on Software Defect Prediction Using Over-Sampling by SMOTE
Authors: Pak Cholmyong , Wang Tian Tian , Su Xiao Hong
Published: June 2018

Software defect prediction suffers from the class-imbalance. Solving the class-imbalance is more important for improving the prediction performance. SMOTE is a useful over-sampling method which solves the class-imbalance. In this paper, we study about some problems that faced in software defect prediction using SMOTE algorithm. We perform experiments for investigating how they, the percentage of appended minority class and the number of nearest neighbors, influence the prediction performance, and compare the performance of classifiers. We use paired t-test to test the statistical significance of results. Also, we introduce the effectiveness and ineffectiveness of over-sampling, and evaluation criteria for evaluating if an over-sampling is effective or not. We use those concepts to evaluate the results in accordance with the evaluation criteria for the effectiveness of over-sampling.

The results show that they, the percentage of appended minority class and the number of nearest neighbors, influence the prediction performance, and show that the over-sampling by SMOTE is effective in several classifiers.
Network-Based Ranking for Open Source Software Developer Prediction
Authors: Wu Zhefu , Li Jianan , Fu Chenbo , Xuan Qi , Xiang Yun
Published: June 2018

Open source software (OSS) projects and communities are becoming increasingly popular and influential recently. Communications and collaborations are essential for the success of projects. Usually, the most active and productive programmers are awarded with promotion to developers. To more effectively manage and progress the projects, it is important and beneficial to rank the programmers and thus, predict the developer candidates. In this work, we propose to combine machine learning techniques with existing complex network node ranking algorithms to improve the prediction results. Specifically, we have made the following contributions: (1), we have designed a novel machine learning-based classifier with significantly improved prediction performance; (2), we have constructed and tested various networks built based on the programmer email communication information; and (3), we have used real-world project data to compare different techniques and validate our methods. Experimental results demonstrate that our technique reduces the error rate by 25% compared with the second best. Moreover, we discover that the [Formula: see text] nearest neighbor (KNN)-based machine learning algorithm and non-directional temporal network with a time window of 1–3 months give the best prediction results.
Multi-Objective Reconstruction of Software Architecture
Authors: Schmidt Frederick , MacDonell Stephen , Connor Andy M.
Published: June 2018

Design erosion is a persistent problem within the software engineering discipline. Software designs tend to deteriorate over time and there is a need for tools and techniques that support software architects when dealing with legacy systems. This paper presents an evaluation of a search-based software engineering (SBSE) approach intended to recover high-level architecture designs of software systems by structuring low-level artifacts into high-level architecture artifact configurations. In particular, this paper describes the performance evaluation of a number of metaheuristic search algorithms applied to architecture reconstruction problems with high dimensionality in terms of objectives. These problems have been selected as representative of the typical challenges faced by software architects dealing with legacy systems and the results inform the ongoing development of a software tool that supports the analysis of trade-offs between different reconstructed architectures.
Precision electron beam polarimetry for next generation nuclear physics experiments
Authors: Aulenbacher Kurt , Chudakov Eugene , Gaskell David , Grames Joseph , Paschke Kent D.
Published: June 2018

Polarized electron beams have played an important role in scattering experiments at moderate to high beam energies. Historically, these experiments have been primarily targeted at studying hadronic structure — from the quark contribution to the spin structure of protons and neutrons, to nucleon elastic form factors, as well as contributions to these elastic form factors from (strange) sea quarks. Other experiments have aimed to place constraints on new physics beyond the Standard Model. For most experiments, knowledge of the magnitude of the electron beam polarization has not been a limiting systematic uncertainty, with only moderately precise beam polarimetry requirements. However, a new generation of experiments will require extremely precise measurements of the beam polarization, significantly better than 1%. This paper will review standard electron beam polarimetry techniques and possible future technologies, with an emphasis on the ever-improving precision that is being driven by the requirements of electron scattering experiments.
Nonuniform Heat Effects on Buckling of Laminated Composite Beam: Experimental Investigations
Authors: George Nivish , Jeyaraj P.
Published: June 2018

The influence of nonuniform heating on the critical buckling temperature of laminated glass-epoxy composite beam has been investigated experimentally with the help of a novel experimental setup. The beam is numerically investigated using nonlinear finite element analysis. An initial geometric imperfection is introduced to the modeled geometry in numerical technique to have an experimental–numerical comparison of temperature-deflection plot. The results indicate that the critical buckling temperature of a uniformly heated beam has a significant difference in comparison to the nonuniformly heated beam and it depends on the heating source location and the resulting temperature distribution along the length direction of the beam.
Experimental Study on the Effect of Temperature on Modal Frequencies of Bridges
Authors: Sun Limin , Zhou Yi , Min Zhihua
Published: June 2018

This study investigates the relationship between the temperature and the modal frequencies of bridges through a series of model experiments using a concrete continuous beam bridge model and a steel cable-stayed bridge model in a controlled-temperature chamber. The experimental results show that, for a given boundary condition and in the absence of freezing, a change in temperature affects the structural frequencies of the bridge as it alters the elastic modulus of the bridge materials. The structural frequency tends to linearly decrease with increasing temperature and with the decrease in the frequency of steel bridges smaller than that of concrete bridges. For the particular case of wet concrete bridges, the temperature dependencies of modal frequencies vary dramatically near the freezing point, which is attributable to the freeze–thaw process of concrete pore water. The effect of air humidity on structural frequency is less significant than that of temperature when the boundary conditions remain unchanged. Furthermore, temperature changes may alter the boundary conditions of bridges, thereby affecting the structural frequencies.
Stochastic Bifurcation in Generalized Chua’s Circuit Driven by Skew-Normal Distributed Noise
Authors: Yilmaz Serpil , Cek M. Emre , Savaci F. Acar
Published: June 2018

In this study, the stochastic phenomenological bifurcations (P-bifurcations) of generalized Chua’s circuit (GCC) driven by skew-normal distributed noise have been investigated by numerically obtaining the stationary distributions of the stochastic responses. The noise intensity and/or skewness parameters of skew-normal distributed noise have been chosen as the bifurcation parameters to change the structure of the stochastic attractor. While the number of breakpoints in the piecewise-linear characteristics of the GCC are fixed, it has been observed that the number of scrolls have been changed by tuning the noise intensity and the skewness parameter of the skew-normal distributed noise.
One-Pot Ultrafast Microwave-Assisted Synthesis of Copper and Copper Oxide Nanoparticles
Authors: Veiga Lionel , Garate Octavio , Lloret Paulina , Moina Carlos , Ybarra Gabriel
Published: June 2018

A method of synthesis is presented for the rapid preparation of copper, copper oxide and mixed copper oxide-copper nanoparticles employing a conventional home microwave oven. The nanoparticles were characterized by SEM, XRD and UV-visible spectroscopy. The size and the composition of the nanoparticles were controlled by the heating time. Cuprous oxide nanoparticles were obtained at short heating times and copper nanoparticles at longer times, while mixed cuprous oxide-copper nanoparticles where obtained in an in between window of time.
Long-range effect of a single mutation in spermine synthase
Authors: Peng Yunhui , Michonova Ekaterina
Published: June 2018

Spermine synthase (SpmSyn) is an enzyme critical for maintaining the balance of spermine/spermidine in the cell. The amino acid sequence of SpmSyn is highly conserved among the species. Most of the mutations found in the human population are shown to be causing Snyder–Robinson syndrome, a severe mental disorder, while not so many are neutral. This is intriguing since SpmSyn is a relatively large protein and less than 10% of its amino acids are directly involved in the catalysis. Here, we demonstrated that a mutation (G191S) at a site far away from the active pocket affects the active site dynamics and thus the functionality of SpmSyn. This suggests that SpmSyn functionality is regulated by networks of interacting residues and thus expands the functional and structural importance beyond the amino acids directly involved in the catalysis. Comparing the calculated effects of G191S and a nine-residue deletion shown to decrease SpmSyn activity [Wu H, Min J, Zeng H, McCloskey DE, Ikeguchi Y, Loppnau P, Michael AJ, Pegg AE, Plotnikov AN, Crystal structure of human spermine synthase: Implications of substrate binding and catalytic mechanism, J Biol Chem 283:16135–16146, 2008], we predict that G191S mutation also decreases SpmSyn activity and may be causing disease.
Crowdsourcing Ground Truth for Medical Relation Extraction
Authors: Dumitrache Anca , Aroyo Lora , Welty Chris
Published: June 2018

Cognitive computing systems require human labeled data for evaluation and often for training. The standard practice used in gathering this data minimizes disagreement between annotators, and we have found this results in data that fails to account for the ambiguity inherent in language. We have proposed the CrowdTruth method for collecting ground truth through crowdsourcing, which reconsiders the role of people in machine learning based on the observation that disagreement between annotators provides a useful signal for phenomena such as ambiguity in the text. We report on using this method to build an annotated data set for medical relation extraction for the
cause
and
treat
relations, and how this data performed in a supervised training experiment. We demonstrate that by modeling ambiguity, labeled data gathered from crowd workers can (1) reach the level of quality of domain experts for this task while reducing the cost, and (2) provide better training data at scale than distant supervision. We further propose and validate new weighted measures for precision, recall, and F-measure, which account for ambiguity in both human and machine performance on this task.
Message from the Editors
Authors: Wierman Adam , Akella Aditya
Published: June 2018

This issue marks the completion of the first year of the Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS). POMACS was among the first three journals joining the recently launched Proceedings of the ACM (PACM) series, and with this issue POMACS has now published over 80 papers.

The goal of the PACM series is to showcase the highest quality research conducted in diverse areas of computer science, as represented by the ACM Special Interest Groups (SIGs). ACM POMACS focuses on the computer systems measurement and performance evaluation community and operates in close collaboration with the Special Interest Group SIGMETRICS. In fact, all the papers in the last three issues of POMACS will be presented during the SIGMETRICS annual conference this summer.
An Optimal Algorithm for Online Non-Convex Learning
Authors: Yang Lin , Deng Lei , Hajiesmaili Mohammad H. , Tan Cheng , Wong Wing Shing
Published: June 2018

In many online learning paradigms, convexity plays a central role in the derivation and analysis of online learning algorithms. The results, however, fail to be extended to the non-convex settings, while non-convexity is necessitated by a large number of recent applications. The Online Non-Convex Learning (ønco) problem generalizes the classic Online Convex Optimization (øco) framework by relaxing the convexity assumption on the cost function (to a Lipschitz continuous function) and the decision set. The state-of-the-art result for the ønco demonstrates that the classic online exponential weighting algorithm attains a sublinear regret of $O(\sqrtTłog T )$. The regret lower bound for the øco, however, is $Ømega(\sqrtT )$, and to the best of our knowledge, there is no result in the context of the ønco problem achieving the same bound. This paper proposes the Online Recursive Weighting (\rw) algorithm with regret of $O(\sqrtT )$, matching the tight regret lower bound for the øco problem, and fills the regret gap between the state-of-the-art results in the online convex and non-convex optimization problems.
Delay Scaling in Many-Sources Wireless Networks without Queue State Information
Authors: Borst Sem , Zubeldia Martin
Published: June 2018

We examine a canonical scenario where several wireless data sources generate sporadic delay-sensitive messages that need to be transmitted to a common access point. The access point operates in a time-slotted fashion, and can instruct the various sources in each slot with what probability to transmit a message, if they have any. When several sources transmit simultaneously, the access point can detect a collision, but is unable to infer the identities of the sources involved. While the access point can use the channel activity observations to obtain estimates of the queue states at the various sources, it does not have any explicit queue length information otherwise.

We explore the achievable delay performance in a regime where the number of sources n grows large while the relative load remains fixed. This scaling is particularly pertinent in Internet of Things (IoT) scenarios, where a key challenge is to achieve low delay when the overall traffic activity is dispersed across massive numbers of highly intermittent sources.

We establish that, under any medium access algorithm without queue state information, the average delay must be at least of the order of n slots when the load exceeds some threshold λ* < 1$. This demonstrates that bounded delay can only be achieved if a positive fraction of the system capacity is sacrificed. Furthermore, we introduce a scalable Two-Phase algorithm for low-delay IoT applications which achieves a delay upper bounded uniformly in n when the load is below e
-1
, and a delay of the order of n slots when the load is between e
-1
and 1. Additionally, this algorithm provides robustness against correlated source activity, which is also prevalent in IoT scenarios.
A Quantitative Evaluation of Contemporary GPU Simulation Methodology
Authors: Jain Akshay , Khairy Mahmoud , Rogers Timothy G.
Published: June 2018

Contemporary Graphics Processing Units (GPUs) are used to accelerate highly parallel compute workloads. For the last decade, researchers in academia and industry have used cycle-level GPU architecture simulators to evaluate future designs. This paper performs an in-depth analysis of commonly accepted GPU simulation methodology, examining the effect both the workload and the choice of instruction set architecture have on the accuracy of a widely-used simulation infrastructure, GPGPU-Sim. We analyze numerous aspects of the architecture, validating the simulation results against real hardware. Based on a characterized set of over 1700 GPU kernels, we demonstrate that while the relative accuracy of compute-intensive workloads is high, inaccuracies in modeling the memory system result in much higher error when memory performance is critical. We then perform a case study using a recently proposed GPU architecture modification, Cache-Conscious Wavefront Scheduling. The case study demonstrates that the cross-product of workload characteristics and instruction set architecture choice can affect the predicted efficacy of the technique.
The Book Review Column
Authors: Green Frederic
Published: June 2018

While the approaches are all different, there is at least one thread running through the three books reviewed in this column: the graph, and/or its more complex relative as manifested in the real world, the network: 1. Words and Graphs, by Sergey Kitaev and Vadim Lozin. The mathematics connecting two ideas that are more closely related than might at first appear. Review by James V. Rauff. 2. Network Science, by Albert-Làszlò Barabàasi. An introduction to a burgeoning and exciting new field. Review by Panos Louridas. 3. Trends in Computational Social Choice, edited by Ulle Endriss. This collection of articles is a follow-up to a title reviewed recently in this column. Review by S.V. Nagaraj. Please let me know if you are interested in reviewing any of the books listed on the subsequent page are available for review.
Review of Words and Graphs by Sergey Kitaev and Vadim Lozin
Authors: Rauff James V.
Published: June 2018

Two distinct letters x and y in a word alternate if, after deleting all other letters in the word, the resulting word is of the form xyxy : : : or yxyx : : : . A graph G = (V;E) is word-representable if there exists a word w over the alphabet V such that the letters x and y alternate in w if and only if there is an edge connecting x and y in G. If graphs can be represented by words then exciting new possibilities arise for investigating graph properties in terms of the properties of the words that represent them. In addition, words (i.e. strings) would offer an additional way of storing and manipulating graph structures in computation. This textbook is a comprehensive survey of word-representable graphs and the relationships between combinatorics on words and graph properties. The contents are accessible to graph theorists, formal language theorists, computer scientists, and students who have some familiarity with graph theory and words.
Review of Network Science by Albert-Làaszlò Barabàasi
Authors: Louridas Panos
Published: June 2018

Albert-Làaszlò Barabàasi can be credited with bringing network science to the general public. After a series of papers in such heavyweights as Nature and Science, his book Linked gave a popular science account of the field. With Network Science he turns his attention to newcomer students who want to start from scratch and go through a wide ranging, yet accessible, introduction. The explosion of publications and interest in network science makes it easy to forget how new it is. True, the germs of network science were sown many decades back (one can think of the work of Yule and Zipf as early precursors), but it was not until the end of the millennium that scientists from different disciplines, ranging from computer science and mathematics to physics and statistics, started paying attention to what appear to be a set of unifying principles and underlying phenomena. Barabàasi did not invent the field, but his publications created a lot of buzz in many places; and in a short while, scientists all over were studying power laws, critical phenomena, and networks-not computer networks, just networks. (This reviewer remembers the period, when describing a course on network science he had to always add a proviso like "this is not about computer networks"; otherwise students would get the idea that this was about hardcore computer science. The situation has changed somewhat since then.)