Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of the number of turns on the performance of permanent magnet synchronous motor

The current passed by the stator coil of the permanent magnet synchronous motor (PMSM) provides rotating magnetic field, and the number of turns will directly affect the performance of PMSM. In order to analyze its influence on the PMSM performance, a 3 kW, 1500 r/ min PMSM is taken as an example, and the 2D transient electromagnetic field model is established. The correctness of the model is verified by comparing the experimental data and calculated data. Firstly, the finite element method (FEM) is used to calculate the electromagnetic field of the PMSM. The performance parameters of the PMSM are obtained. On this basis, the influence of the number of turns on PMSM performance is quantitatively analyzed, including current, no-load back electromotive force (EMF), overload capacity and torque. In addition, the influence of the number of turns on eddy current loss is further studied, and its variation rule is obtained, and the variation mechanism of eddy current loss is revealed. Finally, the temperature field of the PMSM is analyzed by the coupling method of electromagnetic field and temperature field, and the temperature rise law of PMSM is obtained. The analysis of this paper provides reference and practical value for the optimization design of PMSM.
A Semimartingale Bellman Equation and the Variance-Optimal Martingale Measure

Abstract We consider a financial market model, where the dynamics of asset prices is given by an Rm -valued continuous semimartingale. Using the dynamic programming approach we obtain an explicit description of the variance optimal martingale measure in terms of the value process of a suitable problem of an optimal equivalent change of measure and show that this value process uniquely solves the corresponding semimartingale backward equation. This result is applied to prove the existence of a unique generalized solution of Bellman's equation for stochastic volatility models, which is used to determine the variance-optimal martingale measure.
Masters Thesis: End-to-End Motion Planning

A lot research has been conducted in the field of autonomous navigation of mobile robots with focus on Robot Vision and Robot Motion Planning. However, most of the classical navigation solutions require several steps of data pre-processing and hand tuning of parameters, with separate modules for vision, localization, planning and control. All these modules work independently and make their own parameter assumptions to optimize their own performance without taking into account the effect these assumptions have on the performance of rest of the modules. Hence, even though each module in the whole system tries to achieve an optimal performance for the task it has been assigned, the lack of interdependence exhibited by these modules for decision making means that the overall performance of the whole system is sub-optimal in most of the cases. An alternating approach for addressing these issues is to train certain parts of the vision module to incorporate partial tasks from the planning module. Deep Learning architectures have achieved great success in the field of pattern recognition and object detection and as a result are usually being deployed to design such a module that jointly learns to carry out perception and path planning. This master’s thesis, making use of Deep Learning, proposes an End-to-End Learning architecture that learns to directly map raw sensor readings to control commands for a ground based mobile robot. The research makes use of the simulation of Jackal UGV from Clearpath Robotics and the proposed network is able to produce collision free trajectories for the robot to navigate in it’s environment. Master of Science Thesis Sukrit Gupta
Cosmic Explosions in Three Dimensions: Gamma-Ray Bursts as a laboratory for the study of Type Ic supernovae

HETE-2 has confirmed the connection between GRBs and Type Ic supernovae. Thus we now know that the progenitors of long GRBs are massive stars. HETE-2 has also provided strong evidence that the properties of X-Ray Flashes (XRFs) and GRBs form a continuum, and therefore that these two types of bursts are the same phenomenon. We show that both the structured jet and the uniform jet models can explain the observed properties of GRBs reasonably well. However, if one tries to account for the properties of both XRFs and GRBs in a unified picture, the uniform jet model works reasonably well while the structured jet model fails utterly. The uniform jet model of XRFs and GRBs implies that most GRBs have very small jet opening angles (~ half a degree). This suggests that magnetic fields play a crucial role in GRB jets. The model also implies that the energy radiated in gamma rays is ~100 times smaller than has been thought. Most importantly, the model implies that there are ~10^4 -10^5 more bursts with very small jet opening angles for every such burst we see. Thus the rate of GRBs could be comparable to the rate of Type Ic core collapse supernovae. Accurate, rapid localizations of many XRFs, leading to identification of their X-ray and optical afterglows and the determination of their redshifts, will be required in order to confirm or rule out these profound implications. HETE-2 is ideally suited to do this (it has localized 16 XRFs in ~2 years), whereas Swift is not. The unique insights into the structure of GRB jets, the rate of GRBs, and the nature of Type Ic supernovae that XRFs may provide therefore constitute a compelling scientific case for continuing HETE-2 during the Swift mission.
An Efficient Pilot Assignment Scheme for Addressing Pilot Contamination in Multicell Massive MIMO Systems

The reuse of the same pilot group across cells to address bandwidth limitations in a network has resulted in pilot contamination. This causes severe inter-cell interference at the targeted cell. Pilot contamination is associated with multicell massive multiple-input multiple-output (MIMO) systems which degrades the system performance even when extra arrays of antennas are added to the network. In this paper, we propose an efficient pilot assignment (EPA) scheme to address this issue by maximizing the minimum uplink rate of the target cell’s users. To achieve this, we exploit the large-scale characteristics of the fading channel to minimize the amount of outgoing inter-cell interference at the target cell. Results from the simulation show that the EPA scheme outperforms both the conventional and the smart pilot assignment (SPA) schemes by reducing the effect of inter-cell interference. These results, show that the EPA scheme has significantly improved the system performance in terms of achievable uplink rate and cumulative distribution function (CDF) for both signal-to-interference-plus-noise ratio (SINR), and uplink rate.
The Support for the Integration of BIM Through Collaborative Action Research: ShareLab

— Building Information Modeling (BIM) deals with building technologies and techniques that cover the entire lifespan of a building or structure. It allows for building design and documentation (information modelling), as well as the coordination and management of information (information management) that describes the building, its limitations and its performance objectives. This article questions the integration of BIM in the integrated design processes of major architectural and engineering firms. It proposes collaborative action research: ShareLab as a new approach to the appropriation of BIM paradigms. Equipped with various methods of reflection and information collection, the goal of ShareLab use is to collaboratively construct a common understanding of various issues and a shared vision of the stakes at play. This is done in an effort to push businesses into the BIM integration process.
Foot types of young Indian adolescents analyzed by anthropometric measurements of foot and FPI-6: A correlational study

Background and objectives: The variation in the foot may lead to gait and postural defects in all age groups. The Foot Posture Index (FPI) is a validated method for quantifying standing foot posture, and is being used in a variety of clinical settings. The use of foot anthropometric measurements have found a salient role in the analysis of the foot types by using Navicular height (NH) and Relaxed Calcaneal Stance Position (RCSP) measurements. The aim of this research work was to determine various foot types amongst a heterogenous group of young Indian children aged between 11 to 16 years and to find the relationship between the results of FPI-6 and Anthropometric measurements. Methods: The study was conducted in schools of South Bangalore and children were recruited as per the inclusion/ exclusion criteria. Permission was obtained from the school authorities and an informed consent was taken from parents and the children were evaluated by the researcher using FPI-6 and anthropometric measures using standardized techniques. The data obtained was recorded and analyzed. Results and Conclusion: Pearson’s correlation coefficient (r) showed a large correlation both in adolescent girls and boys between FPI-6 and Anthropometric measurements which was statistically significant at p <0.001. Hence, like Anthropometric measurements, Foot Posture Index (FPI-6) may be used as an appropriate, accurate clinical tool in assessing and classifying foot types in young Indian adolescents.
AIS Electronic Library (AISeL) Research complexity of Australian universities

Strategic research direction and prioritisation is crucial for decision making in universities. Analysis of research diversification and sophistication helps differentiating universities according to their research attributes. Based on the Microsoft Academic Graph data set, this paper conducts research complexity analysis for all Australian universities, and examines the ubiquity and diversity of the research output. This paper also investigates research complexity indices of Australian universities, with further discussions for universities with research leadership, technological and practical focuses, and young research universities.
European bank loan loss provisioning and efficient technological innovative progress

: This paper presents an analysis of Loan Loss Provisioning (LLP) behavior of European banks across 26-member states to determine how bad management and Technological Innovative Progress (TIP) has affected bank risk management. Technological improvements in banking have seen advances in both back and front office operations with respect to lending. This is created through increased disembodied technological change capturing improvements in both non-financial and risk management technologies. We find, using a new dynamic LLP model that European banks employed bad management practices in relation to their lending and monitoring practices, leading to higher losses on loans (through increased LLPs). However, the relationship between TIP and LLPs indicates that those banks which increased their technological efficiency with respect to costs had a greater ability to recognize bad loans, and were therefore able to subsequently increase LLPs. That is, improving technology mitigated the impact of bad management practices in European banks. ABSTRACT: This paper presents an analysis of Loan Loss Provisioning (LLP) behavior of European banks across 26-member states to determine how bad management and Technological Innovative Progress (TIP) has affected bank risk management. Technological improvements in banking have seen advances in both back and front office operations with respect to lending. This is created through increased disembodied technological change capturing improvements in both non-financial and risk management technologies. We find, using a new dynamic LLP model that European banks employed bad management practices in relation to their lending and monitoring practices, leading to higher losses on loans (through increased LLPs). However, the relationship between TIP and LLPs indicates that those banks which increased their technological efficiency with respect to costs had a greater ability to recognize bad loans, and were therefore able to subsequently increase LLPs. That is, improving technology mitigated the impact of bad management practices in European banks. The Sanderson-Windmeijer (SW) first-stage chi-squared is a test of under-identification of individual endogenous regressors. It is constructed by "partialling-out" linear projections of the remaining endogenous regressors, under the null that the particular endogenous regressor in question is unidentified. Under-identification test (Anderson statistic) is an LM test of whether the equation is identified, i.e., that the excluded instruments are "relevant", meaning correlated with the endogenous regressors. A rejection of the null hypothesis indicates that the model is identified. no serial correlation. The ‘lags’ show the number of lags used in the GMM model for bank specific variables. Our results hold under different lag choices. The Hansen test of over-identification is under the null that all instruments are valid.
BIOINFORMATICS ORIGINAL PAPER

Motivation: The current generation of single nucleotide polymorphism (SNP) arrays allows measurement of copy number aberrations (CNAs) in cancer at more than one million locations in the genome in hundreds of tumour samples. Most research has focused on single-sample CNA discovery, the so-called segmentation problem. The availability of high-density, large sample-size SNP array datasets makes the identiﬁcation of recurrent copy number changes in cancer, an important issue that can be addressed using the cross-sample information. Results: We present a novel approach for ﬁnding regions of recurrent copy number aberrations, called CNAnova, from Affymetrix SNP 6.0 array data. The method derives its statistical properties from a control dataset composed of normal samples and, in contrast to previous methods, does not require segmentation and permutation steps. For rigorous testing of the algorithm and comparison to existing methods, we developed a simulation scheme that uses the noise distribution present in Affymetrix arrays. Application of the method to 128 acute lymphoblastic leukaemia samples shows that CNAnova achieves lower error rate than a popular alternative approach. We also describe an extension of the CNAnova framework to identify recurrent CNA regions with intra-tumour heterogeneity, present in either primary or relapsed samples from the same patients. Availability: The CNAnova package and synthetic datasets are available at http://www.compbio. group.cam. ac.uk/software.html
An Implementation, Empirical Evaluation and Proposed Improvement for Bidirectional Splitting Method for Argumentation Frameworks under Stable Semantics

Abstract argumentation frameworks are formal systems that facilitate obtaining conclusions from non-monotonic knowledge systems. Within such a system, an argumentation semantics is defined as a set of arguments with some desired qualities, for example, that the elements are not in conflict with each other. Splitting an argumentation framework can efficiently speed up the computation of argumentation semantics. With respect to stable semantics, two methods have been proposed to split an argumentation framework either in a unidirectional or bidirectional fashion. The advantage of bidirectional splitting is that it is not structure-dependent and, unlike unidirectional splitting, it can be used for frameworks consisting of a single strongly connected component. Bidirectional splitting makes use of a minimum cut. In this paper, we implement and test the performance of the bidirectional splitting method, along with two types of graph cut algorithms. Experimental data suggest that using a minimum cut will not improve the performance of computing stable semantics in most cases. Hence, instead of a minimum cut, we propose to use a balanced cut, where the framework is split into two sub-frameworks of equal size. Experimental results conducted on bidirectional splitting using the balanced cut show a significant improvement in the performance of computing semantics.
Book Review: Structural Equation Modeling with EQS and EQS/Windows: Basic Concepts, Applications, and Programming

Foreword - Peter M Bentler PART ONE: INTRODUCTION Structural Equation Models Using the EQS Program PART TWO: SINGLE-GROUP ANALYSES Application 1 Testing the Factorial Validity of a Theoretical Construct (1st-order CFA Model) Application 2 Testing the Factorial Validity of a Measuring Instrument (1st-order CFA Model) Application 3 Testing the Factorial Validity of a Measuring Instrument (2nd-order CFA Model) Application 4 Testing for Construct Validity Via the Multitrait-Multimethod Model Application 5 Testing the Validity of a Causal Structure PART THREE: MULTIPLE GROUP ANALYSES Application 6 Testing for Invariant Factorial Structure of a Theoretical Construct (1st-order CFA Model) Application 7 Testing for Invariant Factorial Structure of a Measuring Instrument (1st-order CFA Model) Application 8 Testing for Invariant Latent Mean Structures Application 9 Testing for Invariant Causal Structure PART FOUR: WINDOW TREATMENTS: A LOOK AT EQS/WINDOWS (VERSION 4) Introduction to EQS/Windows Application 10 Preliminary Data-Screening Analyses Application 11 Building an EQS Model File - Instantly!
Effect of Tn 10 /Tn 5 transposons on the survival and mutation frequency of halogen light-irradiated AB1157 Escherichia coli K-12

We show here that the Tn 10 /Tn 5 transposon when inserted into the chromosome of strain AB1157 makes the bacteria more sensitive to and less mutable by halogen light irradiation. These effects are most probably caused by depletion of UmuD and UmuC proteins since: (i) transformation of the transposon-bearing bacteria with plasmids harbouring umuD (cid:57) C (or umuDC ) leads to recovery of the original survival and mutation frequencies; (ii) insertion of Tn 10 /Tn 5 into chromosomal DNA has no effect on the level of mutation induced by ethyl methanesulphonate treatment, a mutagen whose activity is umuDC -independent; (iii) the decline in survival is in about the same range for Tn 10 -bearing bacteria as for bacteria with deleted umuDC . However, whereas transformation of bacteria deleted in umuDC with plasmids carrying umuD (cid:57) C / umuDC leads to full recovery of halogen light-induced mutability, recovery of survival is poor. This suggests that the mechanisms leading to umuDC dependent mutagenesis and umuDC- dependent protection of cell survival are different. None of these effects occurs in bacteria bearing the Tn 9 transposon in their DNA.
CMAR_A_302545 3981..3990

1Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, 200433, People’s Republic of China; 2Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, People’s Republic of China; 3Department of Lung Cancer and Immunology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, People’s Republic of China
A p‐Order signed integer‐valued autoregressive (SINAR(p)) model

In this article, we propose an extension of integer‐valued autoregressive INAR models. Using a signed version of the thinning operator, we define a larger class of ‐valued processes, called SINAR, which can have positive as well as negative correlations. Using a Markov chain method, conditions for stationarity and the existence of moments are investigated. In particular, it is shown that the autocorrelation function of any real‐valued AR process can be recovered with a SINAR process, which improves INAR modeling.
INVENTORY MANAGEMENT AND ITS EFFECTS ON CUSTOMER

- This study examines inventory management and the role it plays in improving customer satisfaction. It looks at how food companies have been under pressure to streamline their inventory systems, and the consequences of such actions. It also examines how many retailers are trying to implement a “perfect order” system and how suppliers are constantly under pressure to meet the demands of these retailers. Many food companies are, therefore, looking at various inventory management systems as they belief this will have a positive effect on the satisfaction of their customers. The paper also outlines the methodology used in the research and concludes by pointing out the limitations of the research as well as suggestions for further research.
CIA_A_294512 335..343

1Faculty of Health Sciences, Department of Physiotherapy, OsloMet – Oslo Metropolitan University, Oslo, Norway; 2Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway Purpose: The Timed Up and Go (TUG) test is used to assess a person’s mobility and balance. We aimed to provide updated reference values for TUG performance for the community-dwelling older population according to age and sex, and according to the presence of arthritis and non-communicable diseases (NCDs). Participants and Methods: Cross-sectional data from the seventh wave (2015–2016) of the population-based Norwegian Tromsø Study counting 5400 community-dwelling people (53% women), aged 60–84 years were used. Reference values were presented as percentiles and means for men and women by age at five-year intervals. Results: Median TUG score was stable during age 60–65 years, and after age 65 years median TUG score increased significantly with age (increase by 0.14 sec per 1 year higher age in both men and women, p<0.001). At the youngest ages (<65 years), in both men and women, there were no differences in TUG performance for those with NCD or arthritis compared to those without these diseases. After age 65 however, those without these diseases performed significantly better (p<0.05) in both men and women. Conclusion: The present study provided percentile reference values for TUG performance in community-dwelling older adults in Norway by age and sex, and in subgroups of those having arthritis and NCDs. TUG scores increased with age, and performance was significantly poorer among participants with arthritis or NCDs after age 65 years. The findings may guide clinical interventions for individuals with mobility and balance disabilities.
A Spatial Branch-and-Bound Approach for Maximization of Non-Factorable Monotone Continuous Submodular Functions

In contrast to the many continuous global optimization methods that assume the objective function and constraints are factorable, we study how to ﬁnd globally maximal solutions to problems that are not factorable, focusing on a particular class of problems. Speciﬁcally, we develop a method for non-decreasing continuous submodular functions subject to constraints. We characterize the hypograph of such functions and develop a cutting plane algorithm that ﬁnds approximate solutions and bounds using an approximation of the convex hull of the hypograph. We also test a spatial branch-and-bound approach that utilizes the approximate cutting plane algorithm to form an outer approximation and obtain upper bounds for a sub-rectangle and compare our method with a state-of-the-art commercial solver. The main result is that for some problems the property of submodularity is more useful than factorability. ,