nils-herrmann/clean_scirepeval huggingface dataset:
Answering graph pattern query using incremental views
Venue: 2016 International Conference on Computing, Communication and Automation (ICCCA)

In recent years, modeling data in graph structure became evident and effective for processing in some of the prominent application areas like social analytics, health care analytics, scientific analytics etc. The key sources of massively scaled data are petascale simulations, experimental devices, the internet and scientific applications. Hence, there is a demand for adapt graph querying techniques on such large graph data. Graphs are pervasive in large scale analytics, facing the new challenge such as data size, heterogeneity, uncertainty and data quality. Traditional graph pattern matching approaches are based on inherent isomorphism and simulation. In real life applications, many of them either fail to capture structural or semantic or both similarities. Moreover, in real life applications data graphs constantly bear modifications with small updates. In response to these challenges, we propose a notion that revises traditional notions to characterize graph pattern matching using graph views. Based on this characterization, we outline an approach that efficiently solve graph pattern queries problem over both static and dynamic real life data graphs.
MoVie: A scalable algorithm for answering graph pattern query using incremental views
Venue: 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC)

In recent years, modeling data in graph structure became evident and effective for processing huge operational data in some of the prominent application areas like social analytics, health care analytics, scientific analytics etc. The key sources of massively scaled data are petascale simulations, experimental devices, the internet and scientific applications. Therefore, graphs are pervasive in such large scale analytics, facing new challenges of data: size, heterogeneity, uncertainty and quality. Moreover, there is a demand to adapt graph querying techniques for analyzing these large data graphs. Graph pattern matching is one of them. Traditional, pattern matching approaches are based on inherent isomorphism and simulation in graphs and for real life applications many of them either fail to capture the structure/semantic similarity or constant modifications with small updates in real life application based data graphs. In response to these challenges, we propose 'Match on Views, MoVie' a scalable algorithm that revises traditional notions to characterize graph pattern match on views 'Incremental Views' It is experimentally observed that, 'MoVie' improves query answering via pattern matching significantly over static and dynamic data graph, as compared to some of the traditional approaches such as isomorphism, simulation, view based.
Manufacturer's cooperative advertising, demand uncertainty, and information sharing

We assume a manufacturer retailer supply chain where the manufacturer opens an online channel and provides a monetary support to the retailer to implement a local advertising campaign. Both the manufacturer and the retailer have their own information about the state of market demand. We thus examine the value of manufacturer's cooperative advertising and its strategic influence on information sharing of the manufacturer and the retailer. Our results show that the manufacturer's cooperative advertising coordinates the dual channel distributions effectively and helps improve the channel performance under the environment of demand uncertainty. However, the manufacturer's cooperative advertising also stimulates the retailer to distort its information while the manufacturer has a motivation to understate its forecast. Hence, an advertising agency should be employed to verify the shared information and help make an optimal investment in advertising, so that information distortion can be eliminated and optimum results can be achieved.
Augmented pressor and sympathetic responses to skeletal muscle metaboreflex activation in type 2 diabetes patients.
Venue: American journal of physiology. Heart and circulatory physiology

Previous studies have reported exaggerated increases in arterial blood pressure during exercise in type 2 diabetes (T2D) patients. However, little is known regarding the underlying neural mechanism(s) involved. We hypothesized that T2D patients would exhibit an augmented muscle metaboreflex activation and this contributes to greater pressor and sympathetic responses during exercise. Mean arterial pressure (MAP) heart rate (HR) and muscle sympathetic nerve activity (MSNA) were measured in 16 patients with T2D (8 normotensive and 8 hypertensive) and 10 healthy controls. Graded isolation of the muscle metaboreflex was achieved by postexercise ischemia (PEI) following static handgrip performed at 30% and 40% maximal voluntary contraction (MVC) A cold pressor test (CPT) was also performed as a generalized sympathoexcitatory stimulus. Increases in MAP and MSNA during 30 and 40% MVC handgrip were augmented in T2D patients compared with controls (P 0.05) and these differences were maintained during PEI (MAP: 30% MVC PEI: T2D, D16 2 mmHg vs. controls, D8 1 mmHg; 40% MVC PEI: T2D, D26 3 mmHg vs. controls, D16 2 mmHg, both P 0.05) MAP and MSNA responses to handgrip and PEI were not different between normotensive and hypertensive T2D patients (P 0.05) Interestingly, MSNA responses were also greater in T2D patients compared with controls during the CPT (P 0.05) Collectively, these findings indicate that muscle metaboreflex activation is augmented in T2D patients and this contributes, in part, to augmented pressor and sympathetic responses to exercise in this patient group. Greater CPT responses suggest that a heightened central sympathetic reactivity may be involved.
On the design, implementation and integration of an Attribute Provider in the Pan European eID infrastructure
Venue: 2016 IEEE Symposium on Computers and Communication (ISCC)

This paper describes the design and implementation of an Attribute Provider (AP) compatible with the protocol defined in the STORK 2.0 electronic identity European infrastructure that provides cross border authentication and attribute management in web based services. Currently, this infrastructure is used as basis in some European countries to implement the recently adopted eIDAS Regulation on electronic identification and trust services for electronic transactions in the internal market. For example, in the e SENS project the existing nodes of the STORK 2.0 infrastructure are linked to new nodes implementing the eIDAS technical specification, to create a unique interoperability platform. In our work, we considered several key aspects that have been underlined by the National Strategy for Trusted Identities in Cyberspace in USA, e.g. the possibility to incorporate attribute services in identity architectures, the principle of data minimization (provide the minimum set of attributes required so the AP should not overshare as default) and the problem of user consent. We provide also a solution to integrate the proposed AP with an existing database. We believe our work is useful for various identity, attribute and service providers that would connect in the future to the eIDAS interoperability framework.
A novel sparse representation based multi focus image fusion approach
Venue: Neurocomputing

In this paper, a novel multi focus image fusion approach is presented. Firstly, a joint dictionary is constructed by combining several sub dictionaries which are adaptively learned from source images using K singular value decomposition (K SVD) algorithm. The proposed dictionary constructing method does not need any prior knowledge, and no external pre collected training image data is required either. Secondly, sparse coefficients are estimated by the batch orthogonal matching pursuit (batch OMP) algorithm. It can effectively accelerate the sparse coding process. Finally, a maximum weighted multi norm fusion rule is adopted to accurately reconstruct fused image from sparse coefficients and the joint dictionary. It can enable the fused image to contain most important information of the source images. To comprehensively evaluate the performance of the proposed method, comparison experiments are conducted on several multi focus images and manually blurred images. Experimental results demonstrate that the proposed method outperforms many state of the art techniques, in terms of visual and quantitative evaluations.
Privacy Preserving Location Authentication in Wi Fi Networks Using Fine Grained Physical Layer Signatures
Venue: IEEE Transactions on Wireless Communications

A recent measurement reveals that a large portion of the reported locations is either forged or superfluous, which raises security issues such as bogus alibis and illegal usage of restricted resources. However, most prior approaches leak users' location information or rely on external devices. To overcome these limitations, we propose PriLA, a privacy preserving location authentication system that verifies users' location information based on physical layer (PHY) information available in legacy Wi Fi preambles. The crux of PriLA is to turn detrimental features in wireless systems, namely carrier frequency offset (CFO) and multipath, into useful signatures for privacy protection and authentication. In particular, PriLA exploits CFO and channel state information (CSI) to secure wireless transmissions starting from the handshake phase between mobile users and the access point (AP) and meanwhile verify the truthfulness of users' reported locations based on users' multipath profiles. We have implemented PriLA on GNURadio/USRP platform and commercial off the shelf Intel 5300 NICs, and the experimental results show that PriLA achieves the authentication accuracy of 93.2% on average, while leaking merely 45.7% information in comparison with the state of the art approach.
Understanding and interpreting generalized ordered logit models

When outcome variables are ordinal rather than continuous, the ordered logit model, aka the proportional odds model (ologit/po) is a popular analytical method. However, generalized ordered logit/partial proportional odds models (gologit/ppo) are often a superior alternative. Gologit/ppo models can be less restrictive than proportional odds models and more parsimonious than methods that ignore the ordering of categories altogether. However, the use of gologit/ppo models has itself been problematic or at least sub optimal. Researchers typically note that such models fit better but fail to explain why the ordered logit model was inadequate or the substantive insights gained by using the gologit alternative. This paper uses both hypothetical examples and data from the 2012 European Social Survey to address these shortcomings.
Compact 35mm fiber coupled diode laser module based on dense wavelength division multiplexing of NBA mini bars
Venue: SPIE LASE

We present a compact, modular and cross talk free approach for dense wavelength division multiplexing of high power diode lasers based on ultra steep dielectric filters. The mini bars consist of 5 narrow stripe broad area emitters with a beam parameter product in the range of 2 mm mrad and a wavelength spacing of 2.5 nm between 2 adjacent emitters. Experimental results for fiber coupling (35 mm core diameter, NA 0.2) of internally and externally stabilized diode lasers are presented. Optical losses are analyzed and alternative optical designs to overcome the current limitations of the setup are discussed.
Cognitive and affective processing of social exclusion in borderline personality disorder and social anxiety disorder.
Venue: Behaviour research and therapy

Causal attributions of social events are crucial for understanding emotional responses. Aim of the study was to identify appraisal processes in response to social exclusion in borderline personality disorder (BPD) and social anxiety disorder (SAD) Twenty five patients with BPD, 25 patients with SAD and 25 healthy controls played Cyberball, a virtual ball tossing paradigm that experimentally induces social exclusion. Causal attributions, subjective feelings and action tendencies in response to social exclusion were assessed. Both clinical groups showed more internal attributions and less control attributions than the control group, reported a higher increase in self focused negative emotions, along with more escape tendencies and less intent to engage in pleasant activities. But only the BPD group reported higher hostile intent attributions and more aggressive action tendencies compared to healthy controls.
The impact of media and advertising of food on the eating behaviour of adolescent girls in Jeddah, Saudi Arabia.
Venue: Eastern Mediterranean health journal La revue de sante de la Mediterranee orientale al Majallah al sihhiyah li sharq al mutawassit

This study aims to detect differences in eating behaviours demonstrated by adolescent girls in Jeddah Saudi Arabia, according to the influence of the media through TV advertisements. A cross sectional survey was conducted of 1519 girls from 20 schools in Jeddah. Survey questions included information regarding media advertising and its effect on eating behaviour. Bivariate analyses were performed to define differences in eating behaviour according to media influence and Chi square analyses to detect significant relationships. The results indicated a significant correlation between dessert consumption and advertising exposure (P 0.035) Adolescent girls exposed to such advertising were more likely to consume dessert [n=299 (48.5% to shop for food [n=316 (50.7% and had attempted to lose weight [n=373 (59.5% The results emphasize the role and obligation of decision makers to protect young consumers through increased legislation and control of media content (particularly food advertisements) targeting young people.
Process Options Impact on ESD Diode Performance in Bulk FinFET Technology
Venue: IEEE Transactions on Electron Devices

Bulk FinFET is the main technology option for sub 20 nm CMOS nodes. However, newly introduced process options in advanced bulk FinFET technologies can result in significant deterioration of intrinsic electrostatic discharge (ESD) performance. In this paper, the impact on ESD performance induced by the process options beyond 20 nm nodes is explored on the ESD protection diodes.
Changes in cardiovascular risk factors after 5 years of implementation of a population based program to reduce cardiovascular disease: The Heart of New Ulm Project.
Venue: American heart journal

Population based interventions aimed at reducing cardiovascular disease (CVD) hold significant potential and will be increasingly relied upon as the model for health care changes in the United States.  The Heart of New Ulm Project is a population based project with health care, community, and workplace interventions addressing multiple levels of the social ecological model designed to reduce modifiable CVD risk factors in rural New Ulm, MN. The community is served by one health system, enabling the use of electronic health record data for surveillance. Electronic health record data were extracted at baseline (2008 2009) and 2 follow up periods (2010 2011, 2012 2013) for residents aged 40 to 79 years. Generalized estimating equations were used to fit longitudinal models of the risk factors.  Of 7,855 residents in the target population, 80% had electronic health record data for each period. The prevalence of at goal (blood pressure [BP] <140/90 mm Hg) and (low density lipoprotein cholesterol [LDL C] <130 mg/dL) increased from 79.3% to 86.4% and 68.9% to 71.1% respectively, from baseline to 5 years, with the largest reductions in BP and LDL C seen in individuals not at goal at baseline. Blood pressure and lipid lowering medication use increased from 41.8% to 44.0% and 25.3% to 29.1% respectively. The proportion at goal for glucose increased from 46.9% to 48.2% The prevalence body mass index <30 kg/m(2) (55% did not change, whereas the proportion at goal for high density lipoprotein decreased from 63.8% to 58% and smoking showed an increase from 11.3% to 13.6%  In a community participating in a multifaceted, population based project aimed at reducing modifiable CVD risk factors, significant improvements in BP, LDL C, and glucose were observed for 5 years, and body mass index remained stable in a state where obesity was increasing.
Customer satisfaction and its measurement in hospitality enterprises: a revisit and update

This paper aims to review and discuss customer satisfaction and its application to the hospitality and tourism industries. This paper defines the concept and analyzes its importance to services in general and to hospitality/tourism services in particular. This paper is a revision and update of an article previously published by Pizam and Ellis (1999) on customer satisfaction measurements.,The most recent research on customer satisfaction measurements and scales is summarized and presented in the paper.,Following a discussion on the dimensions and attributes of satisfaction, the main methods of measuring satisfaction are listed, and cross cultural issues that affect satisfaction are reviewed. Finally, the paper concludes with a comprehensive review of the current online tools and techniques available for measuring customer satisfaction.,This summary gives a good overview to researchers who require a comprehensive review of the available research measurements and scales for customer satisfaction.,For the past decade, a considerable amount of research has been conducted in customer satisfaction. Finding the appropriate measurements and scales for customer satisfaction can be time consuming and confusing. This paper provides a comprehensive overview of the best known measurements and scales in customer satisfaction research. The paper also provides innovative online tools and techniques available for research.
Predicting student admission decisions by association rule mining with pattern growth approach
Venue: 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEECCOT)

Association Rule Mining is the most powerful technique in data mining. Generation of rule involves two phases where first phase finds the frequent itemsets and second phase generates the rule. Many algorithms are specified to find frequent item set from the sequential patterns. There are mainly two approaches for finding frequent item sets. First approach is with candidate sequence generation i.e. Apriori approach and second with the pattern growth method. Experiments shows that if the length of sequence is small, pattern growth method performs better than that of Apriori approach. In this paper we have analyzed the pattern growth method for the dataset of engineering student. With finding associations among the attributes we can find the chances of taking admission and predict the admission decisions of students. To find strong and valid association rules, different measures like min Interest, lift, leverage and conviction are considered. Prediction is achieved with the use of consequence constraint during generation of association rules.
Forecasting volatility of oil price using an artificial neural network GARCH model
Venue: Expert Syst. Appl.

A hybrid model is analyzed to predict oil price return volatility.The hybrid model used is an ANN GARCH model.The ANN improves forecasting accuracy over the GARCH and ARFIMA model prediction.The precision of the price return volatility forecasting increases by 30%.The main financial variables to improve the forecast were determined. This paper builds on previous research and seeks to determine whether improvements can be achieved in the forecasting of oil price volatility by using a hybrid model and incorporating financial variables. The main conclusion is that the hybrid model increases the volatility forecasting precision by 30% over previous models as measured by a heteroscedasticity adjusted mean squared error (HMSE) model.  in the model that improved the prediction are the Euro/Dollar and Yen/Dollar exchange rates, and the DJIA and FTSE stock market indexes.
Induced Suffix Sorting for String Collections
Venue: 2016 Data Compression Conference (DCC)

Sorting all suffixes of a string collection may be performed by sorting the concatenation of all strings using different end marker symbols as separators, or alternatively using the same end marker as separator. However, both approaches have the following drawbacks. The first alternative increases the alphabet size of the resulting string by the number of strings, whereas the second alternative does not guarantee the order among suffixes that are equal up to the end marker symbol. In this article, we show how to modify two important suffix sorting algorithms, SAIS  and SACA K  to sort the concatenated string using the same end marker, maintaining their theoretical bounds, respecting the order among all suffixes, and improving their practical performance.
Evidence based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology
Venue: Journal of psychopharmacology

The British Association for Psychopharmacology guidelines specify the scope and targets of treatment for bipolar disorder. The third version is based explicitly on the available evidence and presented, like previous Clinical Practice Guidelines, as recommendations to aid clinical decision making for practitioners: it may also serve as a source of information for patients and carers, and assist audit. The recommendations are presented together with a more detailed review of the corresponding evidence. A consensus meeting, involving experts in bipolar disorder and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from these participants. The best evidence from randomized controlled trials and, where available, observational studies employing quasi experimental designs was used to evaluate treatment options. The strength of recommendations has been described using the GRADE approach. The guidelines cover the diagnosis of bipolar disorder, clinical management, and strategies for the use of medicines in short term treatment of episodes, relapse prevention and stopping treatment. The use of medication is integrated with a coherent approach to psychoeducation and behaviour change.
Trans Fat On Its Way Out

Food manufacturers must remove partially hydrogenated oils, the primary source of artery clogging trans fat in foods, from the U.S. food supply by 2018, the Food Drug Administration announced last week. Ridding partially hydrogenated oils from the food supply could prevent thousands of deaths from heart disease each year, the agency says. The move comes after FDA in 2013 proposed steps to eliminate partially hydrogenated oils from foods, declaring the harmful fats will no longer be considered "generally recognized as safe" (GRAS) As a result, manufacturers have already removed these oils from many foods. But they can still be found in baked goods, frostings, frozen pizza, and microwave popcorn, among other products, because they are inexpensive, increase food's shelf life, and improve texture. Food manufacturers are generally pleased that FDA has given them three years to eliminate the remaining uses of partially hydrogenated oils. But they also plan to petition