nils-herrmann/clean_scirepeval huggingface dataset:
Photoluminescence and electrical properties of silicon oxide and silicon nitride superlattices containing silicon nanocrystals

Photoluminescence and electrical properties of superlattices with thin (1 to 5 nm) alternating silicon rich silicon oxide or silicon rich silicon nitride, and silicon oxide or silicon nitride layers containing silicon nanocrystals prepared by plasma enhanced chemical vapor deposition with subsequent annealing were investigated. The entirely silicon oxide based superlattices demonstrated photoluminescence peak shift due to quantum confinement effect. Electrical measurements showed the hysteresis effect in the vicinity of zero voltage due to structural features of the superlattices from SiOa93/Si3N4 and SiN0.8/Si3N4 layers. The entirely silicon nitride based samples demonstrated resistive switching effect, comprising an abrupt conductivity change at about 5 to 6 V with current voltage characteristic hysteresis. The samples also demonstrated efficient photoluminescence with maximum at ~1.4 eV, due to exiton recombination in silicon nanocrystals.
Combining Re Sampling with Twin Support Vector Machine for Imbalanced Data Classification
Venue: 2016 17th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

Imbalanced datasets exist widely in real life. The identification of the minority class in imbalanced datasets tends to be the focus of classification. The twin support vector machine (TWSVM) as a variant of enhanced SVM provides an effective technique for data classification. In the paper, we propose to combine a re sampling technique, which utilizes over sampling and under sampling to balance the training data, with TWSVM to deal with imbalanced data classification. Experimental results show that our proposed approach outperforms other state of art methods.
Imbalanced Data Classification: A Novel Re sampling Approach Combining Versatile Improved SMOTE and Rough Sets
Venue: CISIM

In recent years, the problem of learning from imbalanced data has emerged as important and challenging. The fact that one of the classes is underrepresented in the data set is not the only reason of difficulties. The complex distribution of data, especially small disjuncts, noise and class overlapping, contributes to the significant depletion of classifier's performance. Hence, the numerous solutions were proposed. They are categorized into three groups: data level techniques, algorithm level methods and cost sensitive approaches. This paper presents a novel data level method combining Versatile Improved SMOTE and rough sets. The algorithm was applied to the two class problems, data sets were characterized by the nominal attributes. We evaluated the proposed technique in comparison with other preprocessing methods. The impact of the additional cleaning phase was specifically verified.
Calibration free inverse modeling of ion exchange chromatography in industrial antibody purification

The identification of optimal process parameters for the isolation of a target component from multicomponent mixtures is especially challenging in industrial applications. With constantly increasing time to market pressure, screening a large parameter space is not feasible and design of experiment approaches with few experiments might fail due to dynamic and nonlinear reactions to small parameter changes. Model based optimization can determine optimal operating conditions, once the model has been calibrated to the specific process step. In this work, parameters for the steric mass action model were estimated for the target protein and three impurities of an industrial antibody cation exchange purification step using only chromatograms at different wavelengths and additional fraction analyses with size exclusion chromatography. Information on the molar or mass concentrations in the feed are not available. The model based optimization results coincide with conventional chromatogram based optimization.
Model based high throughput design of ion exchange protein chromatography.
Venue: Journal of chromatography. A

This work describes the development of a model based high throughput design (MHD) tool for the operating space determination of a chromatographic cation exchange protein purification process. Based on a previously developed thermodynamic mechanistic model, the MHD tool generates a large amount of system knowledge and thereby permits minimizing the required experimental workload. In particular, each new experiment is designed to generate information needed to help refine and improve the model. Unnecessary experiments that do not increase system knowledge are avoided. Instead of aspiring to a perfectly parameterized model, the goal of this design tool is to use early model parameter estimates to find interesting experimental spaces, and to refine the model parameter estimates with each new experiment until a satisfactory set of process parameters is found. The MHD tool is split into four sections: (1) prediction, high throughput experimentation using experiments in (2) diluted conditions and (3) robotic automated liquid handling workstations (robotic workstation) and (4) operating space determination and validation. (1) Protein and resin information, in conjunction with the thermodynamic model, is used to predict protein resin capacity. (2) The predicted model parameters are refined based on gradient experiments in diluted conditions. (3) Experiments on the robotic workstation are used to further refine the model parameters. (4) The refined model is used to determine operating parameter space that allows for satisfactory purification of the protein of interest on the HPLC scale. Each section of the MHD tool is used to define the adequate experimental procedures for the next section, thus avoiding any unnecessary experimental work. We used the MHD tool to design a polishing step for two proteins, a monoclonal antibody and a fusion protein, on two chromatographic resins, in order to demonstrate it has the ability to strongly accelerate the early phases of process development.
Towards Formal Multimodal Analysis of Emotions for Affective Computing
Venue: J. Vis. Lang. Sentient Syst.

Social robotics is related to the robotic systems and human interaction. Social robots have applications in elderly care, health care, home care, customer service and reception in industrial settings. Human Robot Interaction (HRI) requires better understanding of human emotion. There are few multimodal fusion systems that integrate limited amount of facial expression, speech and gesture analysis. In this paper, we describe the implementation of a semantic algebra based formal model that integrates six basic facial expressions, speech phrases and gesture trajectories. The system is capable of real time interaction. We used the decision level fusion approach for integration and the prototype system has been implemented using Matlab. KeywordsAffective computing, Emotion recognition, Humanmachine interaction, Multimedia, Multimodal, Decision level fusion, Social robotics.
Sex hormone binding globulin regulation of androgen bioactivity in vivo: validation of the free hormone hypothesis
Venue: Scientific reports

Sex hormone binding globulin (SHBG) is the high affinity binding protein for androgens and estrogens. According to the free hormone hypothesis, SHBG modulates the bioactivity of sex steroids by limiting their diffusion into target tissues. Still, the in vivo physiological role of circulating SHBG remains unclear, especially since mice and rats lack circulating SHBG post natally. To test the free hormone hypothesis in vivo, we examined total and free sex steroid concentrations and bioactivity on target organs in mice expressing a human SHBG transgene. SHBG increased total androgen and estrogen concentrations via hypothalamic pituitary feedback regulation and prolonged ligand half life. Despite markedly raised total sex steroid concentrations, free testosterone was unaffected while sex steroid bioactivity on male and female reproductive organs was attenuated. This occurred via a ligand dependent, genotype independent mechanism according to in vitro seminal vesicle organ cultures. These results provide compelling support for the determination of free or bioavailable sex steroid concentrations in medicine, and clarify important comparative differences between translational mouse models and human endocrinology.
Sex related differences in the associations between plasma free fatty acid levels and clinical features in patients with hypertrophic cardiomyopathy
Venue: Biology of Sex Differences

BackgroundPrevious studies have indicated that inefficient energy utilization may play a pivotal role in hypertrophic cardiomyopathy (HCM) However, whether plasma free fatty acid (FFA) a main energy substrate of heart, has an effect on HCM remains unclear. Besides, several studies have suggested sex related differences in HCM features and FFA metabolism. Here, we aimed to explore the association between plasma FFA levels and HCM and potential effects of sex on this relation. total of 412 patients (age 47.8 12.7 years, 243 males (59.0% with HCM were recruited. Complete medical history was collected. Echocardiography and cardiovascular magnetic resonance imaging (CMRI) were performed. Fasting plasma FFA was determined by clinical laboratory. Left ventricular mass (LVM) maximum wall thickness (MWT) and left atrium diameter (LAD) were assessed with CMRI.ResultsThe median FFA levels were 0.38 (interquartile range (IQR) 0.27 0.52) mmol/L in men and 0.40 (IQR 0.30 0.59) mmol/L in women. The FFA levels were significantly lower in men compared with those in women (p 0.005) Compared with women, men had greater LVM index (LVMI) (96.8 37.6 vs. 78.6 31.5 g/m2, p 0.001) FFA levels in male patients correlated positively with LVM, LVMI, LAD, cholesterol levels, high density lipoprotein cholesterol (HDL C) levels, heart rate, and systolic blood pressure (SBP) However, none of these variables were significantly associated with sqrt (FFA) in female patients except a borderline correlation of LAD (p 0.050) Multiple linear regression analysis was performed in male patients and revealed that HDL C (b 0.191, p 0.002) heart rate (b 0.182, p 0.004) SBP (b 0.167, p 0.007) LVMI (b 0.132, p 0.032) and LAD (b 0.165, p 0.009) were independently associated with increasing FFA levels.ConclusionsIn patients with HCM, LVMI, LAD, HDL C, SBP, and heart rate were independently associated with increasing plasma FFA levels in males, whereas not in females. These results suggest that sex may affect the pathogenesis of HCM through influencing FFA metabolism. And these sex related differences should be taken into account in therapeutic approaches to influence myocardial FFA metabolism in HCM.
16 x 16 non blocking silicon optical switch based on electro optic Mach Zehnder interferometers.
Venue: Optics express

We experimentally demonstrate a 16 x 16 non blocking optical switch fabric with a footprint of 10.7 x 4.4 mm2. The switch fabric is composed of 56 2 x 2 silicon Mach Zehnder interferometers (MZIs) with each integrated with a pair of TiN resistive micro heaters and a p i n diode. The average on chip insertion loss at 1560 nm wavelength is ~6.7 dB and ~14 dB for the "all cross" and "all bar" states, respectively, with a loss variation of 1 dB over all routing paths. The measured rise/fall time of the switch upon electrical tuning is 3.2/2.5 ns. The switching functionality is verified by transmission of 20 Gb/s on off keying (OOK) and 50 Gb/s quadrature phase shift keying (QPSK) optical signals.
A Survey on Opportunistic Routing Protocols for Wireless Sensor Networks

Opportunistic routing is a new paradigm in routing for wireless sensor network which chooses the node closest to the target node for forwarding the data. It uses the broadcasting nature of wireless sensor networks. Opportunistic routing has increased the efficiency, throughput and reliability of sensor networks. Many energy saving techniques has been introduced using opportunistic routing in wireless sensor networks for increasing the network lifetime. In this article we have elaborated the basic concept of Opportunistic routing, different areas in which it has been claimed to be beneficial, some protocols their metrics and their drawbacks.
Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.
Venue: JPEN. Journal of parenteral and enteral nutrition

This document represents the first collaboration between 2 organizations the American Society for Parenteral and Enteral Nutrition and the Society of Critical Care Medicine to describe best practices in nutrition therapy in critically ill children. The target of these guidelines is intended to be the pediatric critically ill patient >1 month and 2 3 days in a PICU admitting medical, surgical, and cardiac patients. In total, 2032 citations were scanned for relevance. The PubMed/MEDLINE search resulted in 960 citations for clinical trials and 925 citations for cohort studies. The EMBASE search for clinical trials culled 1661 citations. In total, the search for clinical trials yielded 1107 citations, whereas the cohort search yielded 925. After careful review, 16 randomized controlled trials and 37 cohort studies appeared to answer 1 of the 8 preidentified question groups for this guideline. We used the GRADE criteria (Grading of Recommendations, Assessment, Development, and Evaluation) to adjust the evidence grade based on assessment of the quality of study design and execution. These guidelines are not intended for neonates or adult patients. The guidelines reiterate the importance of nutrition assessment particularly, the detection of malnourished patients who are most vulnerable and therefore may benefit from timely intervention. There is a need for renewed focus on accurate estimation of energy needs and attention to optimizing protein intake. Indirect calorimetry, where feasible, and cautious use of estimating equations and increased surveillance for unintended caloric underfeeding and overfeeding are recommended. Optimal protein intake and its correlation with clinical outcomes are areas of great interest. The optimal route and timing of nutrient delivery are areas of intense debate and investigations. Enteral nutrition remains the preferred route for nutrient delivery. Several strategies to optimize enteral nutrition during critical illness have emerged. The role of supplemental parenteral nutrition has been highlighted, and a delayed approach appears to be beneficial. Immunonutrition cannot be currently recommended. Overall, the pediatric critical care population is heterogeneous, and a nuanced approach to individualizing nutrition support with the aim of improving clinical outcomes is necessary.
Analyzing CyberCrimes Strategies: The Case of Phishing Attack
Venue: 2016 Cybersecurity and Cyberforensics Conference (CCC)

The growth in technology usage came along with many risks and increase in cybercrimes incidents. Phishing attacks are a form of cybercrimes by which attackers trick victims in order to obtain personal and sensitive information. Phishers motivations include gaining unauthorized information and access, cause financial loss and many more negative impacts. While cybercriminals keep developing their techniques, investigating different attack styles and methodologies are important steps toward developing effective protection mechanisms. This paper contributes to this direction by presenting and analyzing various phishing attack styles including Nigerian, Ghanaian, Chinese and Russian cybercrime styles. Due to richness of learning resources Russians and Chinese were found to be using more advanced techniques than Ghanaians and Nigerians who has limited resources.
A new method for exact computation of the differential phase shift in the circular waveguide, loaded with an azimuthally magnetized ferrite cylinder and a dielectric toroid
Venue: 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA)

A novel numerical technique for calculating the differential phase shift, brought forth by the circular waveguide, containing a ferrite cylinder of azimuthal magnetization and a dielectric toroid that supports normal TE<sub>0n</sub> modes, is worked out. It is based on the method of successive approximations and yields the roots a<sub>1</sub> and a<sub>2</sub> |a<sub>1</sub> |a<sub>2</sub> of a biquadratic equation, connecting the off diagonal ferrite Polder permeability tensor element a and the eigenvalue spectrum of the configuration. The spectrum depends on the relative permittivities of inner and outer medium e<sub>r</sub> and e<sub>d</sub> resp. the factor r, determining the degree of filling of geometry with anisotropic material, the element a and the normalized regarding frequency and the constant e<sub>r</sub> guide radius r<sub>0</sub> It is calculated by the roots of the structure's characteristic equation, derived formerly through complex Kummer confluent hypergeometric and real Bessel and Neumann functions. For chosen values of the quantities e<sub>r</sub> e<sub>d</sub> r, |a| and r<sub>0</sub> the imaginary part of the complex first parameter of confluent functions is varied, until the modulus of counted root a<sub>1</sub> (or a<sub>2</sub> coincides with the selected numerical equivalent of the element a within the range of the prescribed accuracy. If |a| |a<sub>1</sub> |a| |a<sub>2</sub> for the normalized as pointed out above_phase constant b of the electromagnetic field it holds b b<sub>(1)/sub> (b= b<sub>(1)/sub> where b<sub>1</sub> |a<sub>2</sub> (b<sub>(2)/sub> |a<sub>l</sub> (b<sub>(1)/sub> b(2) For each set of the parameters mentioned the procedure is repeated twice for positive (counterclockwise) and negative (clockwise) direction of the magnetization of its anisotropic load towards that of the wave propagation. The difference between the two computed constants gives the phase shift sought. Numerical outcomes for three geometries are obtained in case of TE<sub>01</sub> mode, assuming e<sub>r</sub> =e<sub>d</sub> The approach is rather complicated, too cumbersome and very time consuming, but it provides extraordinarily high accuracy of the results (more than ten decimal places) comparable with the one, due to the recently developed for the same purpose method, invented also by the authors. The combined application of both schemes makes possible to disclose completely the entire picture of the phase shifting behaviour of transmission line considered.
Duopoly game of callable products in airline revenue management
Venue: Eur. J. Oper. Res.

This paper studies the capacity allocation game between duopolistic airlines which could offer callable products. Previous literature has shown that callable products provide a riskless source of additional revenue for a monopolistic airline. We examine the impact of the introduction of callable products on the revenues and the booking limits of duopolistic airlines. The analytical results demonstrate that, when there is no spill of low fare customers, offering callable products is a dominant strategy of both airlines and provides Pareto gains to both airlines. When customers of both fare classes spill, offering callable products is no longer a dominant strategy and may harm the revenues of the airlines. Numerical examples demonstrate that whether the two airlines offer callable products and whether offering callable products is beneficial to the two airlines mainly depends on their loads and capacities. Specifically, when the difference between the loads of the airlines is large, the loads of the airlines play the most important role. When the difference between the loads of the airlines is small, the capacities of the airlines play the most important role. Moreover, numerical examples show that the booking limits of the two airlines in the case with callable products are always higher than those in the case without callable products.
Implementation of Lean Management in an Airline Cabin, a World First Execution?

This research focuses on introduction of lean management into the cabin environment of an aircraft. It is based on a case study of a lean implementation project that was pioneered by Icelandair, which is Iceland's largest airline. The research examines the background and objectives of a lean oriented project in the context of the very specific challenges and opportunities of cabin management in the airline environment. The paper examines how Icelandair uses lean management to reduce waste and increase benefits of their passengers as well as flight attendants. The paper uses qualitative research with project members and stakeholders within Icelandair to critically evaluate the nature of project success. It also uses quantitate research and measurements done on site. From that that conclusions are drawn about the execution of lean project management in the airline industry
Design of smart home elevator module for ageing and disable people with PLC based on cloud control
Venue: 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI CON)

This paper is conducted to develop and implement of a new universal design of the smart home elevator module for ageing and disable passengers with cloud communicating technology based on Programmable Logic Controller (PLC) system with an intelligent fuzzy control scheme called fuzzy PI via on fuzzy ladder control. The conventional home elevator system is controlled by traditional PLC that is usually inconvenience to use for ageing and disable passengers, because of their physical manners are almost dismissed or weaken from their body. The aim of the cloud control is to provide state of the art infrastructure of PLC to remote computing resources and deliver them as a service on demand with highly dynamic and flexible to use in a long distance access control. So, cloud computing and communicating technology can be considered as a promising solution for this home elevator system with for more performance evaluation of user friendly. A fuzzy proportional plus integral control is presented here that will be implement to enhance the overall performance of the system that dominate play role as an intelligent control modified from PLC ladder control. The experimental results are done by solid work simulation for the home elevator mechanism module design, while the math lab simulation program is evaluated for fuzzy PI control. Finally, the all of system is evaluated in a real testing in the laboratory room that can work well as design concept.