Miracle-dz/UniFAR-FTUs huggingface dataset:
Tractable Bayesian Learning for Automated Design of Electromagnetic Structures

We propose a tractable Bayesian learning algorithm for Electromagnetic (EM) Structure design using high-dimensional data structure with Gaussian noise. Our learning method fastly converges on the hypothesis manifold and gives the optimum hypothesis. Our learning algorithm is scalable, and works on any general electromagnetic structure for automated design. We have tested our learning algorithm on the real EM data sheet and computed a theoretical upper bound for the uncertainty quantification. The fast convergence in the hypothesis space is done through various compositions of kernel functions through automatic statistician.
Figures and Appendix Supplementary Methods : Phosphorylation of FUS low-complexity domain disrupts phase separation , aggregation , and toxicity 1

Department of Pharmacology and Molecular Therapeutics, Uniformed Services University, Bethesda, Maryland 20895, United States Neuroscience Graduate Program,Department of Molecular Pharmacology, Physiology, and Biotechnology, and Graduate Program in Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island 02912, United States Department of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA 18015, USA Johns Hopkins Mass Spectrometry and Proteomic Facility, Johns Hopkins University, Baltimore, Maryland 21218, USA Laboratory of Chemical Physics, National Institutes of Health, Bethesda, MD 20892, USA *Z.M. and V.H. R. contributed equally as “co-first” authors
THREE-DIMENSIONAL SURFACE RECONSTRUCTION USING NURBS

In this paper will be presented a new methodology for 3D surface reconstruction from unorganized cloud of points.In the first step of the proposed methodology the number of acquired points is reduced by substituting a set of points closed in a defined region by one at its center of mass, considering a point as a unitary mass. From the new set of points the contour of the object cross-section is drawn using NURBS. The analysis of consecutive cross-sections enables to define a new number of knots and control points when the object cross-section is bigger or smaller than the previous ones, in order to simplify the data processing when the cross-section presents a reduction or an augmentation, as in a conical object. From all defined points the surface can be meshed and then, using commercial software the object rendering can be made for its visualization. From simulations results it can be shown that the proposed method is very effective for clustering unorganized point clouds for meshing surfaces. Examples are shown in order to explain the methodology.
Volatility Forecasting Techniques and Volatility Trading : the case of currency options by Lampros Kalivas

The objective of this is to provide evidence on how foreign exchange rates are moving under time-varying volatility. Our first attempt was to identify the existence of heteroscedasticity. Consequently, we applied widely acclaimed methods in order to estimate future exchange rates under changing volatility. Those methods were based on the theoretical background established by Engle (1982) and Bollerslev (1986). After achieving the first goal, different methods for estimating future foreign exchange volatility, such as implied volatility and historical volatility approaches, were introduced, in order to exploit their information for “volatility trading” on currency options.
Irrational Pricing Behaviors in Organizations

The Journal of Professional Pricing 13 Irrational behaviors in pricing can have devastating impacts on firm performance and reputation. Recent pricing disasters with Netflix’s or JC Penney’s pricing strategies have shown that the process of making pricing decisions is influenced by irrational organization and individual perspectives. The management literature is rich in papers that explore the subject of decision-making rationality and what drives managers in organizations to certain decisions versus others. However, the connection between the pricing decision-making process and decision-making irrationality has never been conceptually explored. We propose eight organizational perspectives influencing pricing rational behaviors. Stephan Liozu, CPP (www.stephanliozu.com) is a member of the PPS Board of Advisors, the Founder of Value Innoruption Advisors and specializes in disruptive approaches in innovation, pricing and value management. He earned his PhD in Management from Case Western Reserve University and can be reached at sliozu@case.edu. Irrational Pricing Behaviors in Organizations
The Roles of Calcium Lactate on Bruised Damage in Papaya Fruit

Bruise damage reduces postharvest quality and it was rejected by consumer. Lack detail about bruise mechanism reported in papaya fruit, the prevention and reduction of postharvest loss were limited. The tissue softening as a result in the change of cell wall solubility and depolymerization including changes in physical properties were following bruise damaged. The maintaining cell wall integrity by calcium lactate application before bruising was tested. Papaya fruits were non-dipped or dipped in 2% calcium lactate solution at 55C for 5 minutes, then air dried at room temperature for 1 hour. Two groups of fruit sample were separated; one group was impacted from height level at 75 cm while the other was nonimpacted. The result showed that bruise treatment reduced skin lightness, chroma and hue angle especially in ‘Khak dam’ papaya, but could maintain by calcium lactate application. This treatment also preserved the reduction of fruit firmness by 4 days concomitant with the solubilization of pectin during bruising was reduced by calcium lactate treatment. Water-, Na2CO3 and potassium hydroxide-soluble fraction were low in calcium lactate treatment both with and without bruise damage. Non-significant different between non-dipped and dipped in calcium lactate in TSS, skin color development and fresh weight loss in bruise treatment. However, calcium lactate treatment reduced the increase in bruise area of 20 and 10% in ‘Khak dam’ and ‘Holland’ papaya, respectively. Fruit decay incidence was 5% low in fruit treated with calcium lactate following bruise damage than non-dipped.
Review of Virtual Environment Interface Technology.

Abstract : This report reviews current interface technology for use in virtual environments. Visual, tracking, auditory, primary user input (including, for example, glove, body suit, exoskeleton, track ball, and 3-D mouse inputs), tactile, kinesthetic, full-body motion, and olfactory interface technologies are covered. In each case, the relevant human capabilities are discussed, followed by descriptions of some available commercial products and ongoing research and development efforts. This information is used as the basis for predicting how virtual environment interfaces are likely to change in the next five years.
Accuracy Evaluation of Terrain Modelling from IKONS Stereo Imagery

An investigation of the accuracy of terrain model extraction from IKONOS stereo high-resolution satellite imagery is reported, in which digital surface model (DSM) data generated photogrammetrically was compared to height data acquired via LIDAR. In order to ensure generation of DSMs of optimal accuracy, the technique of bias-compensated RPCs was first employed to yield 1-pixel level sensor orientation and geopositioning accuracy. Two photogrammetric approaches were then employed to produce DSM data. The first was an intensity matching approach embodied in a commercial digital photogrammetric workstation from Z/I Imaging, and the second was a multi-photo, geometrically constrained (MPGC) image matching procedure incorporating point, edge and feature matching algorithms, developed at the Institute of Geodesy and Photogrammetry (IGP) of ETH Zurich. The resulting photogrammetrically generated DSMs were evaluated against LIDAR determined height data at several hundred thousand points over an area of 16 km. The accuracy assessment took into account varying terrain conditions, with heighting accuracy determinations being carried out for 10 different rural and urban land cover classes. The results indicate that DSMs can be generated from stereo IKONOS Geo imagery to an accuracy of 1.7m to 4.5m (RMS, 1-sigma) depending upon terrain and land cover conditions, with the best accuracies being produced by the MPGC image matching approach, which yielded an overall heighting accuracy at 750,000 checkpoints of 2.7m.
Selective Naive Bayes Regressor with Variable Construction for Predictive Web Analytics

We describe our submission to the ECML/PKDD 2014 Predictive Web Analytics discovery challenge, where the objective is to predict the number of visits and messages on Twitter and Facebook after 48 hours, given a time series of such observations collected during the first hour after publication of each URL. It exploits a selective naive Bayes regressor, together with automatic feature construction from the input time series. The data of the challenge is represented using a multi-tables schema, with pages as the main statistical units and the time series records in a secondary table. Using a small set of construction rules, one thousand of new features are created automatically to enrich the representation of pages. These features are then preprocessed to assess their relevance and a small subset of them are selected using the selective naive Bayes regressor. Our submission, obtained almost automatically, was ranked 3 on each task.
The design and implementation of an exercise programme for the prevention and management of work-related upper limb disorders

Work-related upper limb disorders (WRULD) are a major source of workplace ill-health and injury. Workers in the manufacturing industry appear to be at high risk of WRULD (Widanarko et al, 2011), which places a significant financial burden on the industry. Risk factors associated with WRULD include repetitive and forceful movements of the arm and wrist (van Rijn et al., 2009), and combinations of forearm supination and forceful lifting (Fan et al., 2009). Psychosocial risk factors have also been linked to these conditions and include stress, unsociable hours and tight production deadlines. Exercise programmes are advocated as an intervention approach for the prevention and management of WRULD (Boocock et al., 2007). However, evidence from the literature indicates contrasting findings for the effectiveness of these approaches. This may stem from the lack of specificity of the exercise programmes. Recent evidence suggests that incorporating eccentric-based exercises into a rehabilitation programme improves recovery in patients with lateral epicondylitis (Cullinane et al., 2014; Tyler et al., 2010). No studies appear to have investigated the use of eccentric exercises as part of a WRULD prevention programme. The aim of this study was to develop and implement a 12 week exercise programme in a New Zealand manufacturing workplace in order to reduce the incidence of WRULD. The intervention combined stretches, eccentric and progressive resistance exercises tailored to individual capabilities. The manufacturing site was selected based on the nature of the work undertaken (i.e. high intensity, repetitive upper limb tasks) and the high incidence of reported WRULD. Findings showed no significant improvements in musculoskeletal symptom reporting post-intervention. Such findings may have stemmed from the short timeframe over which the exercise programme was conducted, increased awareness among participants of musculoskeletal symptom reporting, the potential for unaccustomed eccentric exercises to result in delayed onset muscle soreness, and psychosocial and work organisational factors present at the time. Further high quality studies are needed to determine the potential value of individualised exercise programmes inclusive of eccentric exercises.
easibility analysis of composite fuselage shape control via finite lement analysis

Composite parts have been increasingly used in aircraft industry because of their high strength-to-weight ratio and stiffness-to-weight ratio. Due to the diversity of suppliers and fabrication process variation of composite parts, dimensional variability of composite fuselages inevitably exists. In order to improve the dimensional quality and increase the productivity, a new shape control system has been proposed to conduct dimensional shape adjustment before the assembly process. By using finite element analysis, we conduct the feasibility analysis of this new shape control system. Firstly, we develop a finite element Author's Personal Copy
Proposal and Evaluation of Multi-Point Surveillance algorithm for Moving Target in Wireless Sensor Networks

We consider the problem of moving target tracking in Wireless Sensor Network (WSN). In WSN which consists of great number of sensors, their capability is limited to quite low performance because of their low cost. Therefore, it is important to satisfy flowing two requirements for the target tracking: (I) Multi-point surveillance with appropriate number of sensors that depends on the characteristics of applications and user requirement, (II) Dynamic switching and quick decision of monitoring sensors in response to the movement of target. Therefore, we propose multi-point surveillance scheme of moving target and evaluate its performance. Through the simulation experiments, we demonstrate that our proposed scheme can quickly and appropriately decide the monitoring sensors with low communication overhead in response to the movement of target, thereby maintaining high tracking probability even for the high speed target.
Elucidating a Role for Lrp 5 in Mechanotransduction

Approximately five years after the initial studies linking low-density lipoprotein receptor-related protein 5 to human skeletal disease, new research is helping to elucidate the exact contribution of this key cell-surface protein to bone mass regulation. In particular, a recent study published in the August 18th issue of the Journal of Biological Chemistry suggests that while knockout mice lacking the protein can sense mechanical load correctly, they are unable to respond properly to it by making new bone. Though the study has not convinced some experts that definitive proof of the concept has been provided, all of the bone specialists who spoke to BoneKEy do agree on the importance of the research and the suggestive nature of the findings, which they say represent only the initial stages of an exciting and growing field of research.
A Survey of Effective and Efficient Software Testing

The development of large software systems is a complex and error prone process. Errors may occur at any stage of software development. These errors, sometimes referred to as bugs, can cause great losses in terms of both time and money if not identified and removed as early as possible. Software testing plays a major role in software development life cycle (SDLC). It ceases the propagation of errors and thus decreases costs. But software testing itself can be costly. Research point out more than 50% of the total cost of development is devoted to software testing. However, testing is essential to ensure that the software is capable of doing what it was designed to do. Testing becomes expensive since it takes much time. This is because of the need to test many combinations of its functions, integrity, performance and so on, which can be called as test cases. A software company's goal would be to reduce the testing time, so that they can save money and deliver the product much faster to the customer. Testing time can be reduced in two main ways, first by reducing number of test cases and second by automating repeatedly tested areas. This paper will discuss fundamentals of testing such as importance and difference of verification and validation, recent advances in agile software testing, testing throughout the SDLC and testing methods, levels and types. Finally as a conclusion it will also shed some light on combinatorial testing to reduce number of test cases and test automation to reduce manual testing time as the solutions to long testing time problem.
Agent Negotiation in a Manufacturing Process Master Thesis

Businesses around the world change from a centralized hierarchical structure to a decentralized structure. This change, part of Industrie 4.0, requires new methods which ensure that the manufacturing and production processes are still optimized. A possible method is the use of multi-agent systems. Central in the implementation of such a system is the communication, such as negotiation. With different negotiation techniques, processes optimization is achievable. In this research the possible negotiation techniques that can be used for the agents to communicate are discussed. Some of these are desirable to optimize processes. A possible solution is the use of multi-issue multilateral negotiation, with private utility functions. Using the alternation projection method to negotiate, process optimization should be possible. This is tested with a use case and, using the reactive compared to the nonreactive concession strategy, the optimal concession strategy is discussed. It is found that the reactive concession strategy is not as well performing as the nonreactive in respect to the systems optimal (Nash and Pareto) solution, since it can stall while the agreement-zone is non-empty. However, if a single agent uses the reactive strategy, the system performs well. A possible solution could be the use of different concession strategies, and future research steps could clarify these.
Effect of L-arginine on methotrexate induced hepatotoxicity in albino rats.

Methotrexate (MTX) is commonly used in the treatment of many different types of cancer and inflammatory diseases. Its cytotoxic nature also lends a substantial risk of life-threatening side effects. L-arginine is beneficial in the treatment of hepatic injury, hepatic cirrhosis and fatty liver degeneration. The present work aims to study the effect of L-arginine on hepatotoxicity of methotrexate in albino rats. Five groups of albino rats were used. Group I: control. Group II: rats were administered (MTX) in a daily oral dose of 0.45 mg/kg, for 28 days. Group III: rats were administered L-arginine in a daily oral dose of 300 mg/kg, for 28 days. Group IV: rats were received L- arginine 2 hrs before (MTX). Group V: rats were received L-arginine 2 hrs after (MTX). The results revealed different histopathological changes in liver of MTX-treated rats such as focal areas of necrosis and increased numbers of activated Kupffer cells, an apparent increase in the amount of collagen fibers and strong immunoreactive expression of α- SMA. Biochemical results revealed a significant increase in the serum levels of ALT, AST, bilirubin and decreasing the level of antioxidant enzymes. L-agrinine minimized the hepatotoxicity of MTX by decreasing the level of ALT, AST and bilirubin, MDA and increasing the antioxidant enzymes. It is concluded that L-arginine protects liver from hepatotoxicity of methotrexate and this due to its antioxidant activity.
Subjektellipsen in Koordinationsstrukturen. Theoretische Fundierung und empirische Erkenntnisse

Subject gaps in coordinative structures are not easy to analyse, especially subject gaps in an asymmetric coordination like the so-called SGF-coordination (subject gaps in final-frontal structures). The thesis gives a broad overview about different linguistic analysis of these structures. Forthermore it presents empirical data concerning the SGF-coordination, the asymmetric and symmetric coordination. A well-founded empirical base was created by collecting acceptability judgments via online surveys using the psycholinguistic method Magnitude Estimation. The thesis is relevant for decriptive grammar and also for psycholinguistic issues and linguistic analysis concerning subject gaps in coordinative structures.
Chapter 2: Changing the Nature of Library Data

In our current technology environment, all information goes through computers before reaching a human being, so it is necessary to design our metadata to be data—that is, to give it the ability to be manipulated by computer programs. To keep pace with modern advances in technology, the library catalog data must be transformed from being primarily a textual description to a set of data elements to which machine processes can be applied; and these data elements must be compatible with the current mainstream technology that is the World Wide Web. This chapter of “Understanding the Semantic Web: Bibliographic Data and Metadata” examines what steps the library community will need to take to facilitate this transformation.
Image Feature Dimension Reduction Based on Improved LLE Algorithm

Locally linear embedding is an effective image feature dimension reduction algorithm, but when the sample distribution is not uniform. This algorithm has selected neighbor point improper and neighbor requires human factor k given defect. So an improved adaptive LLE algorithm is proposed. First, this algorithm calculates the sample point between Euclidean distance and cosine similarity, and then by a defined similar factor to effectively select neighbor points. At the same time, the algorithm is based on statistical analysis of the sample theory reconstruction 3 rule to dynamically determine neighbor factor k. Experimental results show that this algorithm obtained feature after dimension reduction, and can effectively improve the accuracy of image classification, and less time-consuming, the overall performance is superior to the classical LLE algorithm.
Analysis of Electrocardiogram for Heart Performance Diagnosis Based on Wavelet Transform and Prediction of Future Complications

This paper aims to analyze the heart electrocardiograph (ECG) to diagnose the heart performance and predict any future complications. The authors utilize the MIT BIH database to obtain the original data. The discrete wavelet transform (DWT) is used to decompose the ECG signal and to reconstruct it. The means of different performance measures of the heart performance (QRS,RR,ST,QT,PR) are tested for their significance before comparing them to the limits of normal performance. Any abnormal measure is used to diagnose the corresponding disease(s). Prediction techniques are used to expect any future complications regarding the abnormal measure(s). Two methods of prediction are applied: the Linear Prediction Method (LPM) and the Grid Partitioning and Fuzzy c-mean Clustering based on Neuro-Fuzzy prediction.
IJTHE Shaping learners ’ attention in Massive

We present an eye-tracking study in the context of Massive Open Online Course (MOOC) videos. We propose to use a pre-test as a way of priming students about the video content before they watch the video. In this study, we used two versions of the same pre-test: textual and schema based. The results show that priming has an effect on the learning gain as well as the gaze patterns of students as they watch the videos; the type of priming has an effect on whether students spend more time looking at textual or schema video elements.