nils-herrmann/clean_scirepeval huggingface dataset:
Explorative study of apple juice fluorescence in relation to antioxidant properties.
Venue: Food chemistry

Total fluorescence spectra (excitation emission matrices, EEM) were recorded for a series of commercial apple juices, including clear and cloudy juices produced from concentrate, cloudy juices that were not from concentrate, and freshly squeezed juices. An exploratory study of the spectra with parallel factor analysis (PARAFAC) revealed three groups of fluorophores with different emission properties, and these properties were characterized by excitation/emission maxima at 270/315nm, (310, 370)/455nm, and 430/(550, 680)nm, respectively. A regression analysis of the total fluorescence spectra arranged into three way arrays using N way partial least squares regression methods (NPLS1 and NPLS2) and an analysis of the unfolded spectra by partial least squares methods (PLS1 and PLS2) revealed quantitative relations between the fluorescence and antioxidant properties of juices. The best models for the total phenolic contents and total antioxidant capacities were obtained by applying the NPLS1 method to the EEM. The model parameters were as follows: R(2)CV=0.802, RPD=2.3 for the total phenolic content and R(2)CV=0.808 and RPD=2.3 for the total antioxidant capacity. These results show the potential use of fluorescence spectroscopy for screening apple juices for their antioxidant properties.
Intelligent signal processing system to investigate damage severity in kenaf fibre composite

The emergence of natural fibre as potential alternative for glass fibre replacement has seen various development and investigation for various applications. However, the main issue with the natural fibre reinforced with composites is related to its susceptibility to impact damage. The capability to detect damage at early stages reduces any risk of catastrophic failure. This research investigated impact damage severity in Kenaf fibre composites (KFC) structures using signal processing procedures. The mechanical properties for Kenaf fibre composite were investigated based on 5% 10% 15% and 20% fibre volume fraction. Then the KFC was instrumented with piezoceramic transducers and excited with impact hammer. The response signals captured from each sensor were recorded by a data acquisition system. The impacted specimens were examined with visual inspection (dye penetrant) to examine the extent of damaged areas. Then, an effective damage severity regression and classification procedure is established using a multilayer perceptron neural network approach. The system was trained to predict the damage area based on the actual experimental data. The comparison between experimental and simulation for wave velocity propagation in KFC demonstrated a good agreement in their pattern. For the network, the result demonstrated that the trained networks were capable to predict the damage size accurately. The best performance was achieved for an MLP network trained with minimum signal features, which recorded the error less than 0.40% While that, for the classification, the data features were mapped into five output class labels, presented as a target confusion matrix. The results revealed that the damage sizes were successfully mapped according to its respective classes, with the minimum peak feature gives the highest classification rate at 97.9% While that, the principal component analysis (PCA) is used to support the ANN classification analysis. The result revealed that PCA can cluster and separate the group within their classes.
Mindfulness based stress reduction for medical students: optimising student satisfaction and engagement
Venue: BMC medical education

BackgroundMedical practitioners and students are at increased risk of a number of personal and psychological problems. Stress and anxiety due to work load and study requirements are common and self care methods are important in maintaining well being. The current study examines perceptions of and satisfaction ratings with a mindfulness based stress reduction (MBSR) programme for 1st year (compulsory) and 2nd year (optional) Graduate Entry Medical School students.MethodsA mixed method pre and post study of Year 1 (n 140) and Year 2 (n 88) medical students completing a 7 week MBSR course compared student satisfaction ratings. Thematic analysis of feedback from the students on their perception of the course was also carried out.ResultsYear 1 students (compulsory course) were less satisfied with content and learning outcomes than Year 2 students (optional course) (p .0005) Thematic analysis of year 1 student feedback identified themes including great concept, poorly executed; and less discussion, more practice. Year 2 themes included session environment and satisfaction with tutors.ConclusionsThe MBSR course was associated with high levels of satisfaction and positive feedback when delivered on an optional basis. Catering for the individual needs of the participant and promoting a safe environment are core elements of a successful self care programme.
Unequal Childhoods Class Race And Family Life

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Robust Decentralized Nonlinear Control for a Twin Rotor MIMO System
Venue: Sensors

This article presents the design of a novel decentralized nonlinear multivariate control scheme for an underactuated, nonlinear and multivariate laboratory helicopter denominated the twin rotor MIMO system (TRMS) The TRMS is characterized by a coupling effect between rotor dynamics and the body of the model, which is due to the action reaction principle originated in the acceleration and deceleration of the motor propeller groups. The proposed controller is composed of two nested loops that are utilized to achieve stabilization and precise trajectory tracking tasks for the controlled position of the generalized coordinates of the TRMS. The nonlinear internal loop is used to control the electrical dynamics of the platform, and the nonlinear external loop allows the platform to be perfectly stabilized and positioned in space. Finally, we illustrate the theoretical control developments with a set of experiments in order to verify the effectiveness of the proposed nonlinear decentralized feedback controller, in which a comparative study with other controllers is performed, illustrating the excellent performance of the proposed robust decentralized control scheme in both stabilization and trajectory tracking tasks.
Optimal feedback control of twin rotor MIMO system with a prescribed degree of stability

The purpose of this paper is to investigate an optimal control solution with prescribed degree of stability for the position and tracking control problem of the twin rotor multiple input multiple output (MIMO) system (TRMS) The twin rotor MIMO system is a benchmark aerodynamical laboratory model having strongly non linear characteristics and unstable coupling dynamics which make the control of such system for either posture stabilization or trajectory tracking a challenging task.  This paper first describes the dynamical model of twin rotor MIMO system (TRMS) and then it adopts linear quadratic regulator (LQR) based optimal control technique with prescribed degree of stability to achieve the desired trajectory or posture stabilization of TRMS.  The simulation results show that the investigated controller has both static and dynamic performance; therefore, the stability and the quick control effect can be obtained simultaneously for the twin rotor MIMO system.  The articles on LQR optimal controllers for TRMS can also be found in many literatures, but the prescribed degree of stability concept was not discussed in any of the paper. In this work, new LQR with the prescribed degree of stability concept is applied to provide an optimal control solution for the position and tracking control problem of TRMS.
Build Orientation Determination for Multi material Deposition Additive Manufacturing with Continuous Fibers

Build orientation of a part in Additive Manufacturing (AM) has complex effect on part's quality, process planning, post processing, processing time and cost, etc. The identification of the optimal build orientation for a part is one of the main contents of process planning in AM. In this paper, a build orientation optimization strategy is developed for a new AM process, multi material deposition with continuous fibers, to improve the part quality while reducing the production time cost. First, a set of finite alternative build orientations are generated by using surface shape feature with associated rules derived from the specific characteristics and constraints of the new developing AM process; then, a multi attribute decision making algorithm is applied to determine the optimal orientation according to preset preferences. A case study is presented for demonstration.
Observation of a hot phonon bottleneck in lead iodide perovskites

We study the carrier dynamics in planar methyl ammonium lead iodide perovskite films using broadband transient absorption spectroscopy. We show that the sharp optical absorption onset is due to an exciton transition that is inhomogeneously broadened with a binding energy of 9 meV. We fully characterize the transient absorption spectrum by free carrier induced bleaching of the exciton transition, quasi Fermi energy, carrier temperature and bandgap renormalization constant. The photo induced carrier temperature is extracted from the transient absorption spectra and monitored as a function of delay time for different excitation wavelengths and photon fluences. We find an efficient hot phonon bottleneck that slows down cooling of hot carriers by three to four orders of magnitude in time above a critical injection carrier density of ~5 x 1017 cm 3. Compared with molecular beam epitaxially grown GaAs, the critical density is an order of magnitude lower and the relaxation time is approximately three orders of magnitude longer. Hot carriers in perovskites experience slow cooling.
Wi Fi Fingerprint Based Indoor Positioning: Recent Advances and Comparisons
Venue: IEEE Communications Surveys Tutorials

The growing commercial interest in indoor location based services (ILBS) has spurred recent development of many indoor positioning techniques. Due to the absence of Global Positioning System (GPS) signal, many other signals have been proposed for indoor usage. Among them, Wi Fi (802.11) emerges as a promising one due to the pervasive deployment of wireless LANs (WLANs) In particular, Wi Fi fingerprinting has been attracting much attention recently because it does not require line of sight measurement of access points (APs) and achieves high applicability in complex indoor environment. This survey overviews recent advances on two major areas of Wi Fi fingerprint localization: advanced localization techniques and efficient system deployment. Regarding advanced techniques to localize users, we present how to make use of temporal or spatial signal patterns, user collaboration, and motion sensors. Regarding efficient system deployment, we discuss recent advances on reducing offline labor intensive survey, adapting to fingerprint changes, calibrating heterogeneous devices for signal collection, and achieving energy efficiency for smartphones. We study and compare the approaches through our deployment experiences, and discuss some future directions.
Age dependent damage of hair cuticle: contribution of S100A3 protein and its citrullination
Venue: Journal of cosmetic dermatology

There are two types of damage pattern of human hair cuticle: type L, where the cell membrane complex is split and the cuticle lifts up, and type E, where the fragile substructure of the cuticle cell (endocuticle) is broken. In our previous paper, it was reported that the dominant damage pattern shifts from type L to E with the subjects' age around the 40s. Loss of the cuticle due to daily grooming stresses increases with the subjects' age and is related to the level of type E damage. It is supposed that deterioration of endocuticle advances the loss of cuticle. S100A3 protein, located at the endocuticle, was found to be citrullinated and transformed into tetramer to improve its Ca2+ binding ability. It is postulated that this biochemical property affects the maturation of cuticle and contributes to its reinforcement.
Difference in the distributions between Ca content and the degree of oxidative damage in human hair determined by x ray imaging

In order to examine the cause of Ca distribution in human hair, the distributions of Ca and oxidation of cystine, a major sulfur containing amino acid in hair, were compared in submicron resolution with X ray spectromicroscopy at the Ca K and S K absorption edges. Ca distribution was also detected with high sensitivity by X ray Fluorescence Analysis (XRF) in a few micron resolution. Hair samples were treated with bleach followed by Ca soaking. The increase of Ca content was in parallel with the progression of the oxidation by bleach treatment, beginning from the cuticle, the outer region of the hair. This increase was dependent on the concentration of bleach solution and treatment time. On the other hand Ca content in medulla, the central region of the hair, was apparent even in hair with no bleach treatment, and seemed to be little influenced by the Ca soaking following bleach treatment.
Break It Down

1 8 STEP FWD PIGEON TOES. SHOULDER POPS. POINT. HITCH WITH SLAP. POINT. SYNCOPATED HIP BUMPS. 1&2 Pas PG legerement en avant (1) HEEL SPLIT: pousser les talons vers l'exterieur OUT ramener les talons IN> (2) 3 Pas POINTE PD en avant POP epaule G up (lever epaule G) (3) (Flechir legerement les genoux) Abaisser epaule G POP epaule D up (lever epaule D) 4 Abaisser epaule D POP epaule G up (lever epaule G) (transferer le poids du corps sur PD) (4) 5& POINTE PG cote G (5) HITCH genou G croise devant genou D SLAP genou G avec main D 6 POINTE PG cote G (6) 7&8 Pas PG cote G avec HIP BUMP cote G (7) HIP BUMP cote D HIP BUMP cote G (
Asymmetric Transitivity Preserving Graph Embedding
Venue: KDD

Graph embedding algorithms embed a graph into a vector space where the structure and the inherent properties of the graph are preserved. The existing graph embedding methods cannot preserve the asymmetric transitivity well, which is a critical property of directed graphs. Asymmetric transitivity depicts the correlation among directed edges, that is, if there is a directed path from u to v, then there is likely a directed edge from u to v. Asymmetric transitivity can help in capturing structures of graphs and recovering from partially observed graphs. To tackle this challenge, we propose the idea of preserving asymmetric transitivity by approximating high order proximity which are based on asymmetric transitivity. In particular, we develop a novel graph embedding algorithm, High Order Proximity preserved Embedding (HOPE for short) which is scalable to preserve high order proximities of large scale graphs and capable of capturing the asymmetric transitivity. More specifically, we first derive a general formulation that cover multiple popular high order proximity measurements, then propose a scalable embedding algorithm to approximate the high order proximity measurements based on their general formulation. Moreover, we provide a theoretical upper bound on the RMSE (Root Mean Squared Error) of the approximation. Our empirical experiments on a synthetic dataset and three real world datasets demonstrate that HOPE can approximate the high order proximities significantly better than the state of art algorithms and outperform the state of art algorithms in tasks of reconstruction, link prediction and vertex recommendation.
A deep learning approach to flight delay prediction
Venue: 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)

Deep learning has achieved significant improvement in various machine learning tasks including image recognition, speech recognition, machine translation and etc. Inspired by the huge success of the paradigm, there have been lots of tries to apply deep learning algorithms to data analytics problems with big data including traffic flow prediction. However, there has been no attempt to apply the deep learning algorithms to the analysis of air traffic data. This paper investigates the effectiveness of the deep learning models in the air traffic delay prediction tasks. By combining multiple models based on the deep learning paradigm, an accurate and robust prediction model has been built which enables an elaborate analysis of the patterns in air traffic delays. In particular, Recurrent Neural Networks (RNN) has shown its great accuracy in modeling sequential data. Day to day sequences of the departure and arrival flight delays of an individual airport have been modeled by the Long Short Term Memory RNN architecture. It has been shown that the accuracy of RNN improves with deeper architectures. In this study, four different ways of building deep RNN architecture are also discussed. Finally, the accuracy of the proposed prediction model was measured, analyzed and compared with previous prediction methods. It shows best accuracy compared with all other methods.
Soil Transmitted Helminth Infections and the Associated Risk Factors in Pre Primary School Children, Kiwangwa Rural Ward, Bagamoyo District, Tanzania. Asian J. Med. Pharm. Res. 6 (3) 24 31.

Pre primary school children remain hard to reach the mass drug administration programmes in control of soil transmitted helminth infections. In the present study, the stool samples of 115 pre primary school children in Kiwangwa rural ward, Bagamoyo district, Tanzania were studied in order to determine the prevalence and intensity of soil transmitted helminths and their relationships with the associated risk factors. The samples were analyzed with the Kato Katz technique. The intensity of infections was categorized according to the World Health Organization limits as light, moderate or high. The overall mean prevalence was found to be 3.8% Regarding the intensity, among the 115 pre primary school children four children were found positive. One student had co infection of Ascaris lumbricoides and hookworm with light intensity, two children had moderate intensity infection of hookworm and one child had moderate intensity infection of Ascaris lumbricoides. The prevalence of soil transmitted helminth infection was higher in children who did not have: treated water for domestic use, own toilet facilities, practice of wearing shoes and washing hands before eating and after defecation. This study highlights the importance of hygiene in pre primary school children as an additional opportunity for mass drug administration programme in Tanzania. In addition, community participation in providing health education to children at home should be improved as well as the risk factors such as toilet facilities, hand washing facilities, water for domestic use to avoid and reduce the transmission of soil transmitted helminths.
Software simulator for property investigation of document management system with RFID tags

The study outlines the method for examining the properties of the RFID tagged document management system. The system is composed of computers, where the software for supporting processes of the RFID tagged doc uments was installed. Furthermore, the system cooperates with many other elements of the secret office (cabinets, sluices, photocopiers, desks) The examination of the properties of the RFID tagged document management system is, in this case, complex due to the number of a possible examination scenarios. The simulation method for examining the system properties was proposed. It allows to conduct the examination of the properties in a short period of time for numerous testing scenarios.
Method for assessing software reliability of the document management system using the RFID technology

The deliberations presented in this study refer to the method for assessing software reliability of the docu ment management system, using the RFID technology. A method for determining the reliability structure of the dis cussed software, understood as the index vector for assessing reliability of its components, was proposed. The model of the analyzed software is the control transfer graph, in which the probability of activating individual components during the system's operation results from the so called operational profile, which characterizes the actual working environment. The reliability structure is established as a result of the solution of a specific mathematical software task. The knowledge of the reliability structure of the software makes it possible to properly plan the time and finan cial expenses necessary to build the software, which would meet the reliability requirements. The application of the presented method is illustrated by the number example, corresponding to the software reality of the RFID document management system.
Software Source Code Plagiarism Detection A Survey

Now a day's, big amount of data is avaliable on internet i.e information or source code. In this world of utilization, it is very difficult to find out the similarity or plagiarism, duplication of data in research, publications and practical program assignment in academics. Academics often use plagiarism detection tools to detect similar source code duplication and similar files. In this paper, summary of the varius techniques and methods are explained how one should find out the plagiarisms in source code. A large organization or academic institute can easily find out the plagiarism in source code and research publications. The main problem is nearduplication of code that has been created by copying and modifying code with an editor that is code theft.  Software plagiarism detection, dynamic code identification.
Pengaruh iklan, harga dan e service quality terhadap repurchase intention pada pengguna online travel agent traveloka

vii ABSTRAK viii Kata Pengantar ix Daftar Isi. xi BAB. I. PENDAHULUAN 1 A. Latar Belakang Penelitian 1 B. Perumusan Masalah 7 C. Tujuan Penelitian 7 D. Manfaat Penelitian. 8 BAB. II. TINJAUAN PUSTAKA 10 A.Landasan Teori 10 1. Pemasaran Abad 21 10 2. Aplikasi Internet 11 3. Manajemen Pemasaran Jasa .12 a. Pengertian Jasa .12
A Surveillance Function of the HSPB8 BAG3 HSP70 Chaperone Complex Ensures Stress Granule Integrity and Dynamism.
Venue: Molecular cell

Stress granules (SGs) are ribonucleoprotein complexes induced by stress. They sequester mRNAs and disassemble when the stress subsides, allowing translation restoration. In amyotrophic lateral sclerosis (ALS) aberrant SGs cannot disassemble and therefore accumulate and are degraded by autophagy. However, the molecular events causing aberrant SG formation and the molecular players regulating this transition are largely unknown. We report that defective ribosomal products (DRiPs) accumulate in SGs and promote a transition into an aberrant state that renders SGs resistant to RNase. We show that only a minor fraction of aberrant SGs is targeted by autophagy, whereas the majority disassembles in a process that requires assistance by the HSPB8 BAG3 HSP70 chaperone complex. We further demonstrate that HSPB8 BAG3 HSP70 ensures the functionality of SGs and restores proteostasis by targeting DRiPs for degradation. We propose a system of chaperone mediated SG surveillance, or granulostasis, which regulates SG composition and dynamics and thus may play an important role in ALS.