nils-herrmann/clean_scirepeval huggingface dataset:
Patterns, predictors and effects of texting intervention on physical activity in CHD insights from the TEXT ME randomized clinical trial
Venue: European journal of preventive cardiology

Mobile phone text message interventions are used to support behaviour change including physical activity, but we have less insight into how these interventions work and what factors predict response.  To study the effect of TEXT ME (Tobacco EXercise and dieT Messages) text message intervention on physical activity domains, consistency of effects across sub groups and its additive value in patients that received traditional cardiac rehabilitation programme.  This is a secondary analysis of the TEXT ME, a randomized clinical trial of lifestyle focused text message intervention compared with usual care in patients with coronary heart disease. A quarter of the messages were designed specifically to encourage physical activity. Sedentary time and physical activity were assessed using the Global Physical Activity Questionnaire.  At baseline, 85% of the 710 participants reported low physical activity levels. At six months, compared with controls, the intervention arm reported higher recreational physical activity (471 vs. 307 metabolic equivalent min/week, p 0.001) and travel physical activity (230 vs. 128 MET min/week, p 0.002) similar work related physical activity and lower sedentary times (494 vs. 587 min, p 0.001) Male gender, high baseline physical activity, cardiac rehabilitation participation and text message intervention predicted physically active status at six months. Subjects that received both cardiac rehabilitation and text messaging intervention were more likely to achieve target physical activity levels compared with cardiac rehabilitation alone (odds ratio 7.07 vs. 1.80, p 0.001)  The TEXT ME intervention improved recreational and travel physical activity, reduced sedentary times but had no effects on work related physical activity. It had incremental benefits at achieving target physical activity levels even in patients participating in the traditional cardiac rehabilitation programme.
Novel drug delivery system: an immense hope for diabetics
Venue: Drug delivery

Existing medication systems for the treatment of diabetes mellitus (DM) are inconvenient and troublesome for effective and safe delivery of drugs to the specific site. Therefore, investigations are desired to deliver antidiabetics using novel delivery approaches followed by their commercialization.  The present review aims to provide a compilation on the latest development in the field of novel drug delivery systems (NDDSs) for antidiabetics with special emphasis on particulate, vesicular and miscellaneous systems.  Review of literature (restricted to English language only) was done using electronic databases like Pubmed(r) and Scirus, i.e. published during 2005 2013. The CIMS/MIMS India Medical Drug Information eBook was used regarding available marketed formulation of antidiabetic drugs. Keywords used were "nanoparticle" "microparticle" "liposomes" "niosomes" "transdermal systems" "insulin" "antidiabetic drugs" and "novel drug delivery systems" Single inclusion was made for one article. If in vivo study was not done then article was seldom included in the manuscript.  The curiosity to develop NDDSs of antidiabetic drugs with special attention to the nanoparticulate system followed by microparticulate and lipid based system is found to emerge gradually to overcome the problems associated with the conventional dosage forms and to win the confidence of end users towards the higher acceptability.  In the current scientific panorama when the area of novel drug delivery system has been recognized for its palpable benefits, unique potential of providing physical stability, sustained and site specific drug delivery for a scheduled period of time can open new vistas for precise, safe and quality treatment of DM.
High Antibacterial Activity of Functionalized Chemically Exfoliated MoS2.
Venue: ACS applied materials interfaces

In view of the implications of inherent resistance of pathogenic bacteria, especially ESKAPE pathogens toward most of the commercially available antibiotics and the importance of these bacteria induced biofilm formation leading to chronic infection, it is important to develop new generation synthetic materials with greater efficacy toward antibacterial property. In addressing this issue, this paper reports a proof of principle study to evaluate the potential of functionalized two dimensional chemically exfoliated MoS2 (ce MoS2) toward inhibitory and bactericidal property against two representative ESKAPE pathogenic strain a Gram positive Staphylococcus aureus (MRSA) and a Gram negative Pseudomonas aeruginosa. More significantly, the mechanistic study establishes a different extent of oxidative stress together with rapid membrane depolarization in contact with ce MoS2 having ligands of varied charge and hydrophobicity. The implication of our results is discussed in the light of the lack of survivability of planktonic bacteria and biofilm destruction in vitro. A comparison with widely used small molecules and other nanomaterial based therapeutics conclusively establishes a better efficacy of 2D ce MoS2 as a new class of antibiotics.
Demand Planning in Smart Homes
Venue: IEEE Latin America Transactions

This paper deals with the application of Heuristic and Genetic Algorithms to solve the demand planning problem in smart homes, in order to reduce the total monetary value of consumed energy or offset the seasonality from based electric generators renewable sources such as wind and solar generators. The demand management application takes into account the presence of distributed generation, time differentiated prices (White Tariff) priority of loads and prepaid rate. The demand planning is a combinatorial problem subjected to the load allocation restrictions. The problem is solved using a heuristic method together with a Genetic Algorithm to get a compromise between comfort and the cost of energy expended. Tests with a radial residential system are performed in order to validate the model.
The persistence of air pollution in four mega cities of China

This paper analyses long range fractional dependence of China pollution in four major cities, namely Beijing, Shangai, Guangzhou and Shenzhen from September 28 of 2013 to December 12 of 2015. Unit roots hypotheses are tested by using fractional integration methods using both uncorrelated and autocorrelated errors. The results reveal that the pollution is persistent, meaning that it will continue until strong anti pollution measures are adopted. Policy implication is derived.
Spatial and Seasonal Variations of Polycyclic Aromatic Hydrocarbons (PAHs) in Ambient Particulate Matter (PM10, PM2.5) in Three Mega Cities in China and Identification of Major Contributing Source Types
Venue: Bulletin of Environmental Contamination and Toxicology

Beijing, is the political, economic and cultural center of China. Tianjin and Shijiazhuang, located close to Beijing are also two mega cities with huge population. The rapid economic development in the three cities in the last decades has caused severe air pollution problems, especially airborne PAHs pollution, in both gaseous and particulate phases, which has resulted in considerable harm to the health of local residents. In this study, a total of 671 air samples were collected in the three cities and reference site, and four national air quality background sites. Concentrations and seasonal variations were discussed to describe the pollution status and identify possible sources. The results showed that concentrations of BaP, a PAH that serves as an indicator of PAH pollution, exceeded the Chinese national standard by 4 12 times. PAH concentrations varied significantly in different seasons, with similar trends in the three cities. The toxic equivalents quantity (i.e. quantity of total PAHs with an equivalent toxicity to BaP) ranged from 13.35 to 22.54 ng/m3 during the central heating period of winter and spring. These concentrations greatly exceeded the Chinese national standards for 24 h average (2.5 ng/m3) and annual average (1.0 ng/m3) concentrations of BaP. Two ratios that are indicative of PAH source, Pyr/BaP and BaP/BghiP, revealed that high percentages of the PAH pollution were contributed by coal combustion.
Network structural optimization based on swarm intelligence for highlevel classification
Venue: 2016 International Joint Conference on Neural Networks (IJCNN)

While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain characteristics can be desirable for some problems. This paper investigates structural optimization of networks in the highlevel classification context, where the classification produced by a traditional classifier is combined with the classification provided by complex network measures. Using the recently proposed social learning particle swarm optimization (SL PSO) a bio inspired optimization framework, which is responsible to build up the network and adjust the parameters of the hybrid model while conducting the optimization of a quality function, is proposed. Experiments on two real world problems, the Handwritten Digits Recognition and the Semantic Role Labeling (SRL) were performed. In both problems, the optimization framework is able to improve the classification given by a state of the art algorithm to SRL. Furthermore, the optimization framework proposed here can be extended to other machine learning tasks.
Input Output Analysis and Decentralized Optimal Control of Inter Area Oscillations in Power Systems
Venue: IEEE Transactions on Power Systems

Local and inter area oscillations in bulk power systems are typically identified using spatial profiles of poorly damped modes, and they are mitigated via carefully tuned decentralized controllers. In this paper, we employ non modal tools to analyze and control inter area oscillations. Our input output analysis examines power spectral density and variance amplification of stochastically forced systems and offers new insights relative to modal approaches. To improve upon the limitations of conventional wide area control strategies, we also study the problem of signal selection and optimal design of sparse and block sparse wide area controllers. In our design, we preserve rotational symmetry of the power system by allowing only relative angle measurements in the distributed controllers. For the IEEE 39 New England model, we examine performance tradeoffs and robustness of different control architectures and show that optimal retuning of fully decentralized control strategies can effectively guard against local and inter area oscillations.
Inflammations mediators and circulating levels of matrix metalloproteinases: Biomarkers of diabetes in Tunisians metabolic syndrome patients.
Venue: Cytokine

This study investigates the relationships between matrix metalloproteinases, inflammations mediators and type 2 diabetes mellitus in Tunisians metabolic syndrome (Mets) patients.  The study has included 239 MetS patients and 247 controls. Mets was defined according to the NCEP ATPIII report. Mets patients were also divided into two categories: 29 MetS non diabetics and 210 MetS diabetics. Dysglycemia markers, matrix metalloproteinase 9 (MMP 9) Tissue inhibitors of metalloproteinases (TIMP 1 and TIMP 2) tumor necrosis factor a (TNF a) C reactive protein (CRP) levels and White Blood Cells (WBC) counts were determined in patients and controls.  In our study, the level of inflammatory markers WBC, TNF a and matrix metalloproteinases (MMP 8 and MMP 9) were significantly higher in diabetic patients with MetS, as compared with non diabetic MetS patients. Inflammation mediators and MMP 9 were significantly associated with many clinical characteristics of MetS. The use of ROC "Receiver Operating Characteristic" analysis revealed the impact of TNF alpha on diabetes patients with MetS. In fact TNF alpha was found as a sensitive parameter in these patients with a sensitivity of 85%  Inflammation, matrix metalloproteinases and dysglycemia markers are not expressed in isolation but rather concurrently and are continuously interacting with each other, in MetS and diabetics patients. These markers fit with an early stage of cardiovascular disease (CVD) and measuring them could improve the risk evaluation, an early diagnosis, and the prognosis of CVD.
Can motto goals outperform learning and performance goals? Influence of goal setting on performance and affect in a complex problem solving task

In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties.  Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do your best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so called motto goals (e.g. "I breathe happiness" should activate a person's resources through positive affect. It was found that motto goals are effective with unpleasant duties. Therefore, we tested the hypothesis that motto goals outperform learning and performance goals in the case of complex problems. A total of N 123 subject participated in the experiment. In dependence of their goal condition, subjects developed a personal motto, learning, or performance goal. This goal was adapted for the computer simulated complex scenario Tailorshop, where subjects worked as managers in a small fictional company. Other than expected, there was no main effect of goal condition for the management performance. An unexpected gender effect revealed better performance for men than women, pointing to a potential stereotype threat. As hypothesized, motto goals led to higher positive and lower negative affect than the other two goal types. Even though positive affect decreased and negative affect increased in all three groups during Tailorshop completion, participants with motto goals reported the lowest rates of negative affect. Exploratory analyses investigated the role of affect in complex problem solving via mediational analyses and the influence of goal type on perceived goal attainment.
CFD Simulation of Effect of Vortex Ring for Squid Jet Propulsion And Expeiments on a Bionic Jet Propulsor

Using jet propulsion, squid can swim at high speed or at low speed with good maneuverability, which makes them quiet valuable to be studied for biomimetic purposes. Vortex rings usually occur in the highly unsteady jet flow in squid, and they play quite important roles in the jet propulsion of squid. This paper tries to investigate the squid jet structure by computational fluid dynamics (CFD) analysis. A simplified squid body model was established. The mantle motion during jet locomotion was explicitly included into the simulations by using a deforming mesh. By solving the 2D axisymmetric, incompressible, laminar, unsteady Navier Stokes equations, different vortex evolution behaviors were observed depending on different mantle contraction velocities and nozzle diameters. An important parameter, the formation number of the vortex rings, L/D, which decide the propulsive efficiency of jet propulsion directly, was also discussed in this paper. The numerical results show that adult squid propel themselves by long jet flows with a large formation number, L/D. The results also prove that smaller squid have larger relative funnel diameter. Interaction of vortex rings was simulated in two jet process, which might interpret squid increase their contraction frequencies with elevated swimming speed. To validate the force generated in the simulation, a bionc squid mantel jet propulsor is investigated and tested.
Thermodynamic analysis of the squid mantle muscles and giant axon during slow swimming and jet escape propulsion

Squids have two substantially different types of muscle fibers: superficial mitochondria rich fibers, which perform aerobic respiration during slow swimming, and central mitochondria poor fibers, which perform anaerobic respiration during jet escape. A detailed thermodynamic analysis shows that during slow swimming, 3.82 J/(kg s) of chemical exergy is consumed, and a total muscle work of 0.28 J/(kg s) is produced. 0.27 J/(kg s) of this is produced by the fin to generate lift, and the rest by the mantle volume contraction. During the jet escape at a speed of 3 mantle length/s, squid consumes an exergy of 9.97 J/ (kg s) and produces a muscle work of 0.16 J/(kg s) Exergy destruction rates during slow swimming and jet escape modes are 3.54 and 9.81 J/(kg s) respectively. Exergy destroyed because of the action potential propagation in the squid giant axon is calculated as 0.03 and 0.10 J/(kg s) for the slow and fast swimming modes, respectively.
Smart Touch: Improving Touch Accuracy for People with Motor Impairments with Template Matching
Venue: CHI

We present two contributions toward improving the accessibility of touch screens for people with motor impairments. First, we provide an exploration of the touch behaviors of 10 people with motor impairments, e.g. we describe how touching with the back or sides of the hand, with multiple fingers, or with knuckles creates varied multi point touches. Second, we introduce Smart Touch, a novel template matching technique for touch input that maps any number of arbitrary contact areas to a user's intended (x,y) target location. The result is that users with motor impairments can touch however their abilities allow, and Smart Touch will resolve their intended touch point. Smart Touch therefore allows users to touch targets in whichever ways are most comfortable and natural for them. In an experimental evaluation, we found that Smart Touch predicted (x,y) coordinates of the users' intended target locations over three times closer to the intended target than the native Land on and Lift off techniques reported by the built in touch sensors found in the Microsoft PixelSense interactive tabletop. This result is an important step toward improving touch accuracy for people with motor impairments and others for whom touch screen operation was previously impossible.
Nurse safety outcomes: old problem, new solution the differentiating roles of nurses' psychological capital and managerial support.
Venue: Journal of advanced nursing

The aim of this study was to examine the impacts of nurses' psychological capital and managerial support, plus specific safety interventions (managerial safety priorities, safety training satisfaction) on nurses' in role safety performance.  Most hospitals in industrialized countries have adopted selective (often the least costly) aspects of safety, usually related to safety policies. However, patient safety remains a challenge in many countries. Research shows that training can be used to upskill employees in psychological capital, with statistically significant organizational and employee benefits, but this area is under researched in nursing.  Data were collected using a survey based, self report strategy. The emerging patterns of data were then compared with the findings of previous research.  Quantitative survey data were collected during 2014 from 242 nurses working in six Australian hospitals. Two models were tested and analysed using covariance based Structural Equation Modelling.  Psychological capital and safety training satisfaction were important predictors of nurses' in role safety performance and as predictors of nurses' perceptions of whether management implements what it espouses about safety 'managerial safety priorities' Managerial support accounted for just under a third of psychological capital and together, psychological capital and managerial support, plus satisfaction with safety training, were important to nurses' perceptions of in role safety performance.  Organizations are likely to benefit from upskilling nurses and their managers to increase nurses' psychological capital and managerial support, which then will enhance nurses' satisfaction with training and in role safety performance perceptions.
Online Learning for Statistical Machine Translation
Venue: Computational Linguistics

We present online learning techniques for statistical machine translation (SMT) The availability of large training data sets that grow constantly over time is becoming more and more frequent in the field of SMT for example, in the context of translation agencies or the daily translation of government proceedings. When new knowledge is to be incorporated in the SMT models, the use of batch learning techniques require very time consuming estimation processes over the whole training set that may take days or weeks to be executed. By means of the application of online learning, new training samples can be processed individually in real time. For this purpose, we define a state of the art SMT model composed of a set of submodels, as well as a set of incremental update rules for each of these submodels. To test our techniques, we have studied two well known SMT applications that can be used in translation agencies: post editing and interactive machine translation. In both scenarios, the SMT system collaborates with the user to generate high quality translations. These user validated translations can be used to extend the SMT models by means of online learning. Empirical results in the two scenarios under consideration show the great impact of frequent updates in the system performance. The time cost of such updates was also measured, comparing the efficiency of a batch learning SMT system with that of an online learning system, showing that online learning is able to work in real time whereas the time cost of batch retraining soon becomes infeasible. Empirical results also showed that the performance of online learning is comparable to that of batch learning. Moreover, the proposed techniques were able to learn from previously estimated models or from scratch. We also propose two new measures to predict the effectiveness of online learning in SMT tasks. The translation system with online learning capabilities presented here is implemented in the open source Thot toolkit for SMT.
Ding Iohara Miki symmetry of network matrix models

Ward identities in the most general "network matrix model" from [1] can be described in terms of the Ding Iohara Miki algebras (DIM) This confirms an expectation that such algebras and their various limits/reductions are the relevant substitutes/deformations of the Virasoro/W algebra for q t and q 1 q 2 q 3 deformed network matrix models. Exhaustive for these purposes should be the Pagoda triple affine elliptic DIM, which corresponds to networks associated with 6d gauge theories with adjoint matter (double elliptic systems) We provide some details on elliptic qq characters.
SMTPOST Using Statistical Machine Translation Approach in Filipino Part of Speech Tagging
Venue: PACLIC

The field of Natural Language Processing (NLP) in the country has been continually developing. However, the transition between Tagalog to the progressing Filipino language left tools and resources behind. This paper introduces a Statistical Machine Translation Part of Speech (POS) Tagger for Filipino (SMTPOST) with the purpose of reviving, updating and widening the scope of technologies in the POS` tagging domain, catering to the changes made by the Filipino language. Resources built are comprised mainly of a tagset (218 tags) parallel corpus (2,668 sentences) affix rules (59 rules) and word tag dictionary (309 entries) SMTPOST was tested to different tagsets and domains, producing 84.75% as its highest accuracy score, at least 3.75% increase from the available Tagalog POS taggers. Despite SMTPOST's utilization of Filipino resources and good performance, there are room for improvements and opportunities. Recommendations include a better feature extractor (preferably a morphological analyzer) an increase in scope for all of the resources, implementation of preand/or postprocessing, and the utilization of SMTPOST research to other NLP applications.