Miracle-dz/UniFAR-FTUs huggingface dataset:
TITLE : Deformable MultiModality Image Registration Based on Finite Element Modeling and Moving Least Squares

During the past two decades, there has been an increasing demand for medical image registration. Deformable image registration has a great importance, because the majority of the registration applications deal with the conditions in which the rigid assumption would not create accurate results. Soft tissue organs (e.g. liver, kidney, and prostate) can change in shape during an intervention. Therefore, a sophisticated registration essentially needs to take into account the geometrical deformations. In this thesis, we study the problem of deformable liver image registration between Magnetic Resonance (MR) and Ultrasound (US) images of the liver. In our approach, a tracking system is proposed to acquire and rigidly register a 2D US image (IUS) with the previously taken MR volume. According to the information obtained from the tracking system, a 2D MR image (IMR) is reconstructed as the match of IUS. Mutual information is chosen as the similarity measure between the two modalities in our rigid registration problem. A search optimization problem on the registration parameters is then performed, to provide us with a fine tuned reconstructed IMR. Our proposed strategy begins with visually identifying corresponding anatomical landmarks on IUS and IMR. These landmarks are the inputs of the two proposed methods of deformation in this thesis. The first method, Finite Element Modeling (FEM) approach, produces the deformed images based on the linear elasticity and iv the static analysis assumptions. This method uses the positions of landmarks to solve a linear system of equations, in order to generate the final deformations of the MR images. The second method of deformation is the Moving Least Squares (MLS). To the best of our knowledge, MLS has never been used in medical image registration. This technique analytically solves a number of least squares problems to find the local rigid transformations. Applying these local rigid transformations on the MR volume creates the deformations throughout the MR images. In our experiments, Root Mean Square Target Registration Error (RMS TRE) is used as the quantitative measure for the evaluation of performance. FEM-based method produces the best result with an RMS TRE of 7.2mm, while MLS-based method creates an RMS TRE of 8.9mm. According to the literature, an accuracy of 7.2mm is acceptable for most intra-operative abdominal procedures, particularly those involving the liver. The drawback of FEM-based method is its higher computational complexity. Our implementation of the MLS-based method could be executed at least 20 times faster than that of the FEM-based method. Therefore, in applications, where the accuracy is critical, FEM-based method should be used. The MLS-based method is more suitable of the applications demanding higher speed or a parallel implementation of the FEM-based method can solve the computation speed problem.
Multichannel selling – the key to success in retail

Theoretical background : The rapid technological development of the past decade has exerted a major influence on consumer behaviours and created new ways of reaching customers. The contemporary consumer freely switches between brick-and-mortar, online and mobile sales channels, expecting that a product will be available any time, any place. Such behaviours pose a serious challenge to retail enterprises, in particular in the context of integrating offlne and online sales channels. Purpose of the article : This paper aims to determine the extent to which contemporary enterprises need to implement multichannel strategies to ensure access to goods and services in order to satisfy the increasing expectations of purchasers and gain advantage in the highly competitive market. A broader thread of the discussions concerns the transformation of the so-called business models taking place in the present retail sector in Poland and across the globe. Research methods : The problem discussed in this paper required a review of the relevant international literature at the initial stage in order to determine the results of theoretical and empirical research on the development of multichannel selling in the retail market in light of changing consumer purchasing preferences. The following available bases were used: ScienceDirect, Taylor & Francis Online, Emerald and SAGE Journals, as well as online research of market reports and statistical studies, which contributed to the analysis of the transformations occurring in the retail sector. Main findings : This paper indicates two major marketing consequences for the enterprises applying multiple channels in gaining access to goods and services. In order to rise to market challenges, retail enterprises must not only employ the multichannel selling strategy but also ensure its integrity. In the face of such challenges, a new approach in creating unique values and solutions in the areas of logistics, distribution, promotion and pricing policy is required. Online sale channels pose a challenge to retail enterprises, in particular as regards delivering identical experiences and a consistent offer to the consumer.
The role of bene fi ts and transparency in shaping consumers ’ green perceived value , self-brand connection and brand loyalty

Building on the literature on green consumption, this study investigates consumers’ perceptions of a brand's green benefits (utilitarian environmental and warm glow) and green transparency on their green perceived value (GPV). In particular, this study tests the mediating role of GPV and self-brand connection on the relationships between green benefits and green transparency and brand loyalty. We used structural equation modeling to test the research model with a sample of 826 Chinese respondents. Our findings suggest that most of the hypotheses were supported. However, comparison between brands of physical goods and services indicate that the approach to develop consumers’ green value perceptions is different and that the influences of GPV and selfbrand connection on brand loyalty are significantly different between these two groups of brands. Hence, it would be more effective for organizations to have diverse green branding strategies between these two groups of
A Fast and Accurate Palmprint Identification System based on Consistency Orientation Pattern

A palmprint identification system is a relatively most promising physiological biometric approach to identify the person. The numbers of palmprint recognition based biometric system have been successfully applied for real world access to control applications. A typical palmprint identification system identifies a query palmprint and matching it with the template stored in the database and comparing the similarity score with a pre-defined threshold. The Consistency Orientation Pattern (COP) hashing method is implemented in this work to enforce the fast search and to obtain the accurate result. Orientation pattern (OP) is defined as a collection of orientation features at arbitrary positions. The principal palm line is a kind of evident and stable features in palmprint images, and the orientation features in this region are expected to be more consistent than others. Using the orientation and response features extracted by steerable filter and gives an analysis on the consistency of orientation features, and then introduces a method to construct COP using the consistent features. Those features can be used as the indexes to the target template. Because the COP is very stable across the samples of the same subject, the COP hashing method can find the target template quickly. This method can lead to early termination of the searching process. Index Terms — Consistency, hashing, orientation pattern, principal palm line, searching and steerable filter.
Overview of Crime Prevention in Queensland Carol Dalglish Manager Corporate Planning Queensland Police Service

Crime and crime control are very complex issues and relate not just to the police and the criminal justice system but to the way society operates as a whole. Reported crimes in Australia have risen by over 60 per cent, from 845,923 in 1980/81 to 1.41 million in 1988/89 (Mukherjee & Dagger 1990). Rather than attributing this increase to the significant changes that have occurred and are continuing in Australian society, these trends tend to be laid at the door of policing. Walker and Henderson (1991) draw attention to research in this area:
Research of elastic management strategy for cloud storage 1

I Introduce With the development of Web2.0 technology, especially the popularity of social network and popular, the traditional storage technologies (network Storage or distributed storage) are difficult to meet the demand of their vast amounts of unstructured data storage [1] . So more and more commercial websites began to use cloud storage architecture based on HDFS, such as Google, Amaze, Facebook, etc., the development is gathering momentum. Design ideas of HDFS-based cloud storage derived from the virtual cluster computing, which is expanded from a single v irtual storage servers to a virtual storage server cluster (ie: Hadoop virtual cluster). Hadoop virtual cluster can be combined with multiple virtual storage servers, just as a storage server which has a great computing power and high-throughput provides users with a transparent access interface [2] . However, the existing cloud storage has certain limitat ions in study and implementation, which concerned for high-throughput and high reliability excessively, and ignored the cloud storage’s actual use rate on virtual resource, thus it seriously affects the cloud storage application and popularization. Cloud storage for load-handling capability and disturbance switching capability is important, but we should be even more concerned about the actual efficiency of cloud storage to the virtual resources. Therefore, through introducing the thought of virtual resource management, this article proposes a kind of elastic storage architecture and elastic management strategy of virtual resources. The simulation results show that cloud storage can effectively improve the efficiency in the use of virtual resources.
Project Houseleek-A Case Study of Applied Object Recognition Models in Internet of Things

Nowadays, the gap between academic work and practical application of that work is rapidly diminishing. This fact can be backed by several factors: the increase in availability of the research results, as well as research artifacts; the rise in the level of education in general; the availability of broadband networks and the more affordable prices of the technology used for research. Also, due to the pervasion of the technology in all spheres of society, there is an emergence of new possibilities of applying disruptive technologies at all levels, including homes or workplaces of
Capital structure under different macroeconomic conditions : Evidence from South Africa

The empirical literature provides conflicting assessments about how firms choose their capital structure and how macroeconomic variables influence capital structure decision making. There has been a minimal research of the impact of macroeconomic conditions on the adjustment of capital structure towards target, specifically in the context of South Africa. This study employs a sample of South African companies listed on JSE Limited stock exchange from 2000 2014 to investigate: (1) the relationship between corporate leverage and firm characteristics as well as macroeconomic variables; (2) the impact of extreme capital market frictions on capital structure decisions; and (3) the relation between macroeconomic conditions and capital structure adjustment speed using an integrated partial adjustment dynamic capital structure model. The research results find evidence that certain firm characteristics and macroeconomic factors have pronounced influence on the capital structure of the sample of listed companies. The empirical results are compared to previous international evidence from developed markets and are in line with the international evidence. Results show that profitability, size and tangibility are significant determinants of firms’ capital structure in the preextreme capital market friction periods. The rand crisis of 2001 – 2002 and the global financial crisis period of 2007 – 2009 are considered extreme capital market friction periods. The findings highlights that profitability and size have a different relation to leverage during these extreme capital market friction periods. The extreme capital market friction dummy is significant which means that capital supply conditions are also amongst important factors that need to be considered while determining the financing mix during periods where the supply of capital is disrupted. The findings highlight that demand-side and supply-side factors need to be considered in firms’ financial decision making processes, especially during periods where there is extreme capital markets friction. The research also finds evidence supporting the prediction of theoretical framework that firms adjust to target leverage slower in good states than in bad states, where states are defined by real GDP growth rate and inflation rate.
O ct 2 01 9 Stack Sorting with Increasing and Decreasing Stacks ∗

We introduce a sorting machine consisting of k + 1 stacks in series: the first k stacks can only contain elements in decreasing order from top to bottom, while the last one has the opposite restriction. This device generalizes [10], which studies the case k = 1. Here we show that, for k = 2, the set of sortable permutations is a class with infinite basis, by explicitly finding an antichain of minimal nonsortable permutations. This construction can easily be adapted to each k ≥ 3. Next we describe an optimal sorting algorithm, again for the case k = 2. We then analyze two types of left-greedy sorting procedures, obtaining complete results in one case and only some partial results in the other one. We close the paper by discussing a few open questions.
Measurement and Estimation of the Equivalent Circuit Parameters for Multi-MW Battery Systems

This paper proposes and validates through simulations and measurements, a procedure for the determining the equivalent circuit parameters of large utility-scale batteries. It is considered that a large battery includes multiple cells connected in series and parallel, and therefore, its equivalent circuit can be represented as a series-parallel network of state of charge (SOC) dependent resistors and capacitors. Tests for determining these equivalent circuit parameters are proposed. These tests involve subjecting the battery energy storage system (BESS) to multiple charge and discharge cycles, while monitoring the terminal voltage and current response. A method for post-processing and analyzing the measurements in order to obtain an equivalent circuit model that accounts for the dynamic properties of the battery system and differences between the parameters of each cell is developed. The measurements and simulations are conducted for a 1MW/2MWh BESS demonstrator located at the Louisville Gas and Electric and Kentucky Utilities (LG&E and KU) E.W. Brown generating plant.
REAL-TIME CONDITION MONITORING OF OFFSHORE WIND TURBINES

Abstract: Condition monitoring has been used extensively in the power industry to monitor the performance of conventional power generators. Such generators are frequently run for long periods at constant loading and spotting changes due to potential failure modes is relatively straightforward using standard signal processing techniques. The application of condition monitoring to wind turbines is relatively new and relies on the setting of relatively crude alarm levels above which a shut-down may be instigated with little information about the failure mode or possible time to failure with sufficient warning. The variable speed operation of many modern wind turbines represents both a challenge and an opportunity to the application of an ‘intelligent’ condition monitoring system. On the one hand a variable loading means that it can be difficult to spot a potential failure mode within a frequency spectrum. On the other hand, a variable load can excite a range of modes within a wind turbine and potentially elucidate significant information about the health of the turbine. The need for effective condition monitoring with more precise information about a particular failure mode and accurate prediction of mean time to failure becomes ever more acute within the offshore environment. In this paper, the authors present a new method that utilises the advantages of both fast fourier transforms (FFTs) and wavelets and illustrate their application to the detection of a generator bearing fault in a 1.5MW pitchregulated variable speed wind turbine.
Design and Implementation of an Efficient 64 bit MAC

The design of optimized 64 bit multiplier and accumulator (MAC) unit is implemented in this paper. MAC unit plays major role in many of the digital signal processing (DSP) applications. The MAC unit is designed with the combinations of multipliers and adders. In the proposed method MAC unit is implemented using Vedic multiplier and the adder is done with ripple carry adder . The components are reduced by implementing Vedic multiplier using the techniques of Vedic mathematics that have been modified to improve performance. a high speed processor depends significantly on the multiplier as it is one of the key hardware blocks in most digital signal processing systems as well as in general processors. The area is optimized effectively using Vedic multiplier . The total design implemented using Xilinx. Keywords-Carry save adder, Digital signal processing (DSP), multiplier and accumulator (MAC)
A system for instrumental evaluation of audio quality

An approach for instrumental assessment of audio systems is presented in this contribution, which is based on binaural recordings of real music signals as well as measurement signals. Any system for instrumental assessment of audio quality should ideally be able to replicate the perception of a human test subject. An auditory test design based on music signals was recently devised that was shown to lead to reliable test results even with naïve test subjects. The test utilizes three individual attributes (timbre, distortions and spaciousness) along with a judgement on overall quality to quantify the perceived quality. Several auditory tests were conducted with the proposed design to collect training material for the system that is presented in this contribution. The system consists of two main components: An analysis stage that contains specific components for the individual attributes and a trained regression that utilizes the results of the conducted listening tests to establish a relation between the analyses and human perception. This contribution presents an overview of the assessment system, highlights the interaction between analyses and quality perception, and makes a comparison with auditory results.
OXYLIPINS AND RELEVANT ENZYMES IN PLANT DEFENCE

(Article begins on next page) Anyone can freely access the full text of works made available as "Open Access". Works made available under a Creative Commons license can be used according to the terms and conditions of said license. Use of all other works requires consent of the right holder (author or publisher) if not exempted from copyright protection by the applicable law. Availability: Scientific Publishers This is a pre print version of the following article:
AN ANALYSIS OF INFLUENCE ON SERVICE QUALITY TO THE CUSTOMER SATISFATION AND LOYALTY RELATING TO REPEAT ORDER IN PUTERA

Applying the five dimensions of service quality is not easy as it seems since obstacles are there to encounter in the process. The obstacles in the five dimensions of service quality happened because there are gaps which causing the failure in the process of service delivery. SERVQUAL model is built on assumption that consumer compares the service attribute work with the ideal standard for each attribute. When the attribute work trascends the standard, perception of the whole service quality will be raising up. By giving service that exceeds the wish of the customers of five dimensions of SERVQUAL, the loyalty of the cutomers and they will pay more. This research is aimed to analyze influence of the service quality to the satisfaction and loyalty of customer to do repeat order in Putera Agung Mobil Jemursari Surabaya. Respondents are consumers who buy cars in Putera Agung Mobil. The variables of the research are service quality dimension as the independent variable and consumer satisfaction and loyalty variable as the dependent variable. Analysis technique used here is gap analysis, t test, and double linear regression. The study on this research shows that there are gaps between customer expectation with the perception of service quality granted by the consumers of Putera Agung Mobil, Surabaya. Only partial quality service that really influences the consumer Putera Agung Mobil, Surabaya, including assurance and empathy, while tangibles, reliability, and responsiveness do not really influential. It can be said that service quality influences the loyalty of the consumer in Putera Agung Mobil, Surabaya.
Effect of sample temperature on radiation characteristics of nanosecond laser-induced soil plasma

An Nd:YAG single pulse nanosecond laser of 532 nm wavelength with an 8 ns pulse width was projected on the soil samples collected from the campus of Bengbu College under 1 standard atmospheric pressure. Laser-induced breakdown spectroscopy at different sample temperatures was achieved. The intensity and signal-to-noise ratio (SNR) changes of dif­ferent characteristic spectral lines could be analyzed when the sample temperature changes. The evolution of plasma electron temperature and electron density with the sample temper­ature was analyzed through Boltzmann oblique line method and Stark broadening method. The cause of the radiation enhancement of laser-induced metal plasma was discussed. Ex­perimental results demonstrated that the spectral intensity, SNR, the electron temperature and electron density of plasma are positively related to the sample temperature, and reach saturation at 100 °C.
Sigaranın Bırakılmasında Hekimin Rolü ve Sigara Bırakma Polikliniğine Başvuran Hastaya Yaklaşım

ÖZET Sigara dünyada bir çok geliflmifl ve geliflmekte olan ülkede önlenebilir hastal›klar›n ve ölümlerin bafl nedenidir.Sigaran›n bireyin sa¤l›¤›na etkisi ile toplum üzerine etkisini ay›rmak mümkün de¤ildir. Hastas›n›n sa¤l›¤›ndan endifle eden bir çok hekim onlar› sigaray› b›rakma konusunda cesaretlendirmek için zaman ay›r›r. Sigara içen bir kifliyi sigara b›rakt›rma konusunda yap›lan her giriflim sa¤l›k kaynaklar›n›n en etkili kullan›m fleklidir. Hastan›n sigara al›flkanl›¤›n›n sorgulanmas› ve sigaray› b›rakmaya haz›rl›¤›n›n de¤erlendirilmesi bu giriflimin ilk basamaklar›d›r. ‹kinci basamak e¤er hasta sigaray› b›rakmak istiyorsa b›rakmaya yönelik bir yöntem gelifltirmektir. Nikotin ba¤›ml›l›¤›n›n patofizyolojisinin anlafl›lmas› da sigaray› b›rakmak isteyen hastay› de¤erlenlendirirken hekime yard›mc› olacakt›r. Akci¤er Arflivi: 2003; 4: 225-234 Anahtar Kelimeler: Sigara , hekim, sigaran›n b›rak›lmas›
Digital " Mad Men " Training RNN as an Ad Copywriter

In this project, we aim to generate advertisements from positive product reviews and ad keywords. We train a "prototype-then-edit" neural model from [5] on a dataset of positive Amazon reviews and modify the content of the generated text using edit vectors drawn from a dataset of ad keywords. In contrast to the previous research, we produce the edit vector from the a secondary dataset, rather than the primary one on which the neural editor model is trained. We evaluate several variants of the model on fluency, relevance, and style. We find that the models are able to perform style transfer but are less successful in incorporating content keywords.