Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on the Influence of M&A Goodwill on Stock Price Fluctuation

This paper discusses the relationship between M&A goodwill and short term stock price fluctuation on the background of M&A market. The research found that: goodwill aggravates the fluctuation range of stock price, and the relationship between the two is mainly derived from the samples with high goodwill, which preliminarily proves that the stock price of companies with high goodwill has a certain degree of bubble. Goodwill boosts corporate performance and investors overreact to mergers and acquisitions, creating bubbles in share prices. The decline of performance after M&A can be regarded as a signal of overvaluation of stock price, and the relationship between goodwill and stock price fluctuation is more obvious at this time. Further analysis shows that the relationship between goodwill and stock price volatility risk is more obvious when investors hold shares for a short period of time, the company is highly valued and the market is good. This paper enriches the research on the economic consequences of mergers and acquisitions of listed companies, reflects the unique nature of mergers and acquisitions in the early stage of development of countries with transitional economies, and has certain enlightenment on reducing stock price fluctuations and maintaining financial market stability.
Using RFID technology to development of agricultural products quality safety traceability system on Internet of things

This paper analyzes the quality and safety of agricultural and sideline products, and agricultural and sideline products contain the emergence. The application of RFID in safety traceability of agricultural and sideline products, must insert RFID tags from its source. This paper presents using RFID technology to development of agricultural products quality safety traceability system on Internet of things. The Internet of things platform includes three parts: service access and deployment, business management, business support platform.
Prosody and sentence type in Dutch 1

This article summarizes earlier research done on the prosodic marking of interrogativity and imperatives in Dutch on the basis of recorded speech from male and female speakers. The first part of this article compares statements (ST) and three types of question. The form of questions may differ in various respects from statements: Wh-questions (WH) have a question word in initial position and exhibit subject-verb inversion, yes/no-questions (YN) have inversion only, while declarative questions (DE) have the same structure as ST. Our functional hypothesis that the intensity of interrogativity marking through prosody counterbalances the degree of syntactic marking in the order ST <WH < YN < DE is confirmed both by an analysis of the phonological choices made and by the details of the phonetic implementation of the melodies. The second part of the article compares statements and imperatives. All sentences were produced with three different attitudes: neutral, friendly and authoritarian. Our hypothesis that imperatives are prosodically marked in the same way as authoritarian statements seems to be confirmed, as an analysis of tone transcriptions reveals no systematic differences between them at the linguistic level. The difference is only weakly marked in the prosody at the phonetic level, in a way that suggests that the speaker raises his/her voice in imperatives (higher overall pitch, longer duration, greater intensity), which is also the way in which the authoritarian style of speaking differs from the other attitudes.
Seed composition in oil crops : Its impact on seed germination performance

The amount and composition of lipids stored in seeds of oil crops are the main determinants of their industrial yield and quality. Breeders have attempted to increase seed oil concentration to obtain higher industrial yields, and to modify seed oil fatty acid composition according to industrial demands. Nevertheless, both traits can also be modified by environmental conditions prevailing during seed filling in the mother plant. Several environmental factors have been found to affect the final seed oil concentration and the fatty acid composition as well. Moreover, predictions related to the effect of climate change on oil quality have been reported considering those environmental factors on seed reserves synthesis. However, seeds are not only the harvest organ for industrial use but also are the perpetuation organ of the species. It is known that germination performance is affected by external factors (i.e., the environment) but also by intrinsic seed factors. Therefore, it is necessary to understand how variations in seed oil concentration and fatty acid composition may in turn affect germination. There is scarce information regarding these effects, but nevertheless its impact can be significant for the crop establishment. In this chapter we describe the variability in seed oil concentration and lipid fatty acid composition among species and within species. The effects of both genetics and the environmental conditions prevailing during the seed filling in the mother plants are considered. Then, available information concerned the effects of seed oil concentration and lipid composition on germination performance is reviewed. Seed composition in oil crops: Its impact on seed germination performance
EGG VIABILITY AND LARVAL CONTRIBUTION TO FECUNDITY OF PARNASSIUS SMINTHEUS

addition, we found at both study sites that the first and second instars of Urania boisduvalii display a gregarious behavior. Perhaps this behavior was facilitated by gregarious oviposition, as suggested by Sillén-Tullberg (1988) for many species of butterflies. We cannot explain why Urania boisduvalii displays such a large range in egg clutch size. Although we have not been able to demonstrate that this species presents gregarious oviposition, finding clutches with more than 2000 eggs in an uraniid moth, supports the idea that in the Lepidoptera this phenomenon is common, as suggested by Reed (2005).
FiberFind: Machine learning-based segmentation and identification of individual fibers in µCT images of fibrous media U NDERSTANDING NONWOVENS

A machine learning-based approach to segment curved fibers in a binarized μCT image is presented. A neural network has been trained to label the center curve of each fiber using synthetic training data generated with the GeoDict software. The analysis of these centerlines provides an analytical representation of individual fibers, allowing for analysis of diameter, orientation distribution, curliness, and more.
Effect of milk type, pasteurization and packaging materials on some physicochemical properties and free fatty acid profiles of Tulum cheese.

The aim of this study was to investigate the effect of milk type, pasteurization and packaging material type on free fatty acid (FFA) content, physicochemical and sensory properties of Tulum cheese. Thus, cheese samples manufactured from pasteurized ewes’ and cows’ milk and ripened different material (plastic barrel, cellulose casing, cloth bag, naturel bowel) were compared with traditional Erzincan Tulum cheese during 90 days of storage. Results indicated that the ewes’ milk cheeses had higher concentration of C6:0, C8:0, C10:0, C12:0, C18:2, and C18:3 fatty acids (P<0.01). Type of packaging materials did not influence the concentrations of FFA in cheese samples. However, pasteurization significantly (P<0.01) affected the levels of C6:0-C14:0 FFA. Results of a sensory panel showed that packaging materials remarkably (P<0.01) influenced the acceptability of cheese samples produced by pasteurization. Panelists’ preferred experimental cheese made with ewes’ milk and ripened in cellulose based packaging material.
Arthropods Associated with Xeric Longleaf Pine Habitats in the Southeastern United States : A Brief Overview

The arthropods of xeric longleaf pine habitats in the southeastern United States are poorly known. Conservatively, between 4000 and 5000 species are characteristic. Perhaps ten percent of these are endemic types, many of which are related to taxa characteristic of xeric·habitats of the Southwest. Arthropod herbivores and litter detritivores in this system seem to have impartant roles related to community function. Because over seventy perc~~t of the flowering plants are entomophilous, pollination processes may also have significant effects on the community. Disturbance factors, including reduction of natural fire frequency, forestry practices, and the introduction of exotic species may have major effects on arthropod diversity and abundance. Increased knowledge of the arthropod fauna is needed in order to understand, protect, and manage these systems.
Spectral-Element and Adjoint Methods in Seismology 3 2

We provide an introduction to the use of the spectral-element method (SEM) in seismology. Following a brief review of the basic equations that govern seismic wave propagation, we discuss in some detail how these equations may be solved numerically based upon the SEM to address the forward problem in seismology. Examples of synthetic seismograms calculated based upon the SEM are compared to data recorded by the Global Seismographic Network. Finally, we discuss the challenge of using the remaining differences between the data and the synthetic seismograms to constrain better Earth models and source descriptions. This leads naturally to adjoint methods, which provide a practical approach to this formidable computational challenge and enables seismologists to tackle the inverse problem.
0 1 2 ) 0 1 3 Overview of Silicon Photomultiplier Applications

Multicell Geiger-mode avalanche photodiodes, or silicon p hotomultipliers (SiPMs), have proven to be a sound alternative to other types of photodetectors in different fields and have advantages that can significantly overcome performances previously ac hieved, and enable new possibilities. SiPM development continues with the improvement of general properties, and the enhancement of determined characteristics to fulfil specific requirements for different applications. As the number of SiPM manufacturers rises, their properties improve and m ore possibilities for readout appear in the market, an increasing number of physics experiments t d to replace other type of photodetectors by SiPMs, or to employ them in innovative applicatio ns. SiPMs have been successfully applied or are being tested in numerous applications in high energy physics (in calorimeters for CALICE, in T2K or in Cherenkov detectors), in astroparticle physics (such as MAGIC or EUSO), and in medical imaging (for example in the combination of PET and MR imaging modalities or for time of flight PET).
Matching suitable Feature Construction & Classification for SAR Images based on Particle Swarm Optimization

Synthetic Aperture Radar (SAR) imaging which is used to create image of objects such as landscapes, remote sensing and mappings. The problem of various methods for improvement in SAR image matching features such as noise interference and deviated edges can be improved by using proposed technique. Particle swarm optimization is the nature inspired computational search and optimization approach which was developed on the basis of behavior of swarm. Recently each and every field of research is utilizing the properties of PSO. One of the popular fields of research is image segmentation and matching features which is also fastest growing field. Taking the advantages of combining PSO with different image segmentation technique many researchers has proposed various research papers with enhancement of various parameters. In this work, we surveyed and used Swarm Intelligence concept to reduce the unnecessary features from the image to get the desired image with all the highlighted features and try to provide recent trends and techniques involved in improvement in SAR imaging matching features with PSO a computational intelligence technique. The work easily removes the garbage files, which occupies large amount of space, which is responsible for the perfect data cleaning. The PSO methodology can be further enhanced by introducing ACO technique designed for SAR image matching feature for improvement in the images obtained by satellites and more efficiently used in various applications. Keywords—Synthetic Aperture Radar (SAR); Particle Swarm Optimization; Swarm Intelligence; computational intelligence; ACO technique.
Analysis of fault ride through disturbances in wind energy

vi Sammanfattning . vii Purpose . viii CHAPTER: 1 . 9 1.1 Background . 9 1.3 Problem . 11 1.4 Limitation . 11 Chapter: 2 Wind Power and Wind Energy Conversion Systems (WECS) . 12 2.1 European Wind Scenario . 12 2.2 Wind Power Growth . 14 2.3 Classification of Wind Energy Conversion Systems (WECS) . 15 2.3.1 Variable Speed WECS . 16 2.3.2 Doubly-Fed Induction Generator Wind Turbine . 16 2.3. 3 Permanent Magnet Synchronous Generator Wind Turbine WECS . 17 Chapter: 3 Grid Integration and Fault Ride Through (FRT). 18 3.1 Issues related to wind generator and grid integration . 18 3.2 Fault Ride Through . 18 Chapter: 4 Low voltage ride through enhancement techniques . 21 4.1 LVRT enhancement techniques for DFIG based WECS . 21 4.1.1 Hardware Solution . 21 4.1. 2 Software Solutions . 22 Chapter: 5 Matlab Simulation and Results . 23 5.1 Simulation of a grid connected 10MW PMSG WECS. 24 5.2 Simulation of a grid connected 9MW DFIG WECS. 26 5.3 Simulation of a grid connected 10MW PMSG WECS with STATCOM. 28
Possibilities in State Event Modelling of Hybrid Systems

This work-in-progress paper illustrates the idea of the conceptional separation between a mathematical model and a simulation model for state event models of dynamic hybrid systems. The traditional modelling and simulation process starts with a mathematical model, followed by an implementation of the model in a certain simulation environment and ends with the parametrisation of the numerical attributes followed by the simulation run. Current trends in simulation environments tends to go in the direction of graphical oriented modelling descriptions neglecting needs of conceptional (mathematical) models at the beginning of the process. This limits the modelling process and restricts eﬃcien-cy. For comparison or benchmarking simulation environments as well as modelling languages, approaches and optimization for hybrid models, a conceptional model offers a framework to review these aspects.
Performance Analysis of Depth Intra-Coding in 3D-HEVC

The depth maps intra-frame prediction of 3D High Efficiency Video Coding (3D-HEVC) inherits all texture encoding techniques provided by HEVC and provides new coding tools for depth map predictions. These tools comprise algorithms, such as bipartition modes, intra-picture skip, and DC-only. This paper details these tools and shows how they work together with the original HEVC algorithms in the depth map intra-frame prediction for allowing high-efficiency encoding. Besides, this paper analyzes the encoding time and the encoding mode distribution of the intra-frame prediction tools over different quantization scenarios. We aim to provide support for upcoming works on depth map encoding, including complexity reduction and control, real-time embedded systems implementations, and even the development of improved tools to encode depth maps.
Actor-Critic PAC Robust Policy Search

This work studies an approach for computing provably robust control laws for robotic systems operating in uncertain environments. We develop an actor-critic style policy search algorithm based on the idea of minimizing an upper confidence bound on the negative expected advantage of a control policy at each policy update iteration. This new algorithm is a reformulation of Probably-Approximately-Correct Robust Policy Search (PROPS) and, unlike PROPS, allows for both step-based evaluation and step-based sampling strategies in policy parameter space, enabled by the use of Generalized Advantage Estimation and Generalized Exploration. As a result, the new algorithm is more data efficient and is expected to compute higher quality policies faster. We empirically evaluate the algorithm in simulation on a challenging robot navigation task using a high-fidelity deep stochastic model of an agile ground vehicle and compare its performance to the original trajectory-based PROPS.
New dietary proteins for cholesterol control : lupin and hempseed

The consumption of dietary proteins from vegetable sources can be very helpful in the dietary management of hypercholesterolemia. While it is well established that soy proteins can reduce LDL-cholesterol, particularly in patients with high cholesterolemia, novel protein sources have lately attracted much interest. Recent studies have clearly established the nutraceutical properties of eggs and egg peptides, which have significant effects on both cholesterolemia and blood pressure. In the last few years, extensive studies have shown that lupin and hempseed proteins have good cholesterol-lowering properties. Lupin, particularly Lupinus angustifolius, is characterized by peptides that can significantly raise LDL-receptor activity and also reduce PCSK9 levels, thus providing very effective treatment for hypercholesterolemic patients when used as substitutes or additives for standard drugs. More recently, hempseed, a protein source rarely evaluated clinically, has been shown to reduce cholesterolemia in animal models, by inhibiting HMG-CoA reductase activity, upregulating LDL receptors and, surprisingly, also increasing PCSK9 levels, with an overall profile similar to that of statins. These novel additions to the nutraceutical armamentarium for treating raised cholesterol may lead to exciting progress in the management of hypercholesterolemic patients.
Three-Dimensional nand Flash for Vector–Matrix Multiplication

Three-Dimensional NAND flash technology is one of the most competitive integrated solutions for the high-volume massive data storage. So far, there are few investigations on how to use 3-D NAND flash for in-memory computing in the neural network accelerator. In this brief, we propose using the 3-D vertical channel NAND array architecture to implement the vector–matrix multiplication (VMM) with for the first time. Based on the array-level SPICE simulation, the bias condition including the selector layer and the unselected layers is optimized to achieve high computation accuracy of VMM. Since the VMM can be performed layer by layer in a 3-D NAND array, the read-out latency is largely improved compared to the conventional single-cell read-out operation. The impact of device-to-device variation on the computation accuracy is also analyzed.
2.2: Membrane Asymmetry

The purpose of biological membranes is to create compartments suitable for specific biological functions. Biological membranes include a lipid bilayer which functions as a selective permeable barrier to generate internal environments, as well as proteins which participate in molecular transport, catalysis, signaling, cell-cell recognition and forming junctions, and adherence to extracellular spaces. Biomembranes also carry out critical functions in signal transduction and vesicle (de)formation [1].
An Efficient VLSI Implementation of De-Blocking Filter with CSLA for H.264

The De-blocking filter is used in H.264 video codec for improving the quality of video. The De-blocking filter helps in removing the artifacts which are generated due to block based transform. In this research work, the Modified Filter Order (MFO)-Carry Select Adder (CSLA) based De-Blocking Filter (DBF) is introduced to improve the video quality, which is named as MFO-CSLA-DBF architecture. Conventional H.264 standard DBF requires more area due to a separate storage block of the horizontal and vertical data. To solve this problem, this paper implemented modified filter order architecture to reduce the memory and area for storing filter block data. The complexity of the boundary block has reduced by minimizing the boundary strength values. Furthermore, the CSLA design used for the data merging process in the DBF architecture instead of normal adder designs that also occupies less area in the MFO. The MFO-CSLA-DBF architecture improved the quality of the video by increasing Peak-toNoise Ratio (PSNR), Structure similarity Index Matrix (SSIM) for different resolutions such as Quarter Common Intermediate Format (QCIF-176×144) and Common Intermediate Format (CIF-352×288). This MFO-CSLA-DBF architecture was implemented in the Xilinx tool by using the Verilog code for the Virtex-6 FPGA device. In this research work experimental results showed that MFO_CSLA_DBF architecture has reduced hardware utilization of FPGA for DBF from 2-3 % compared to the traditional DBF technique.
INTERFERENCE AWARE CHANNEL ASSIGNMENT WITH BANDWIDTH RESERVATION IN MULTI RADIO MULTI CHANNEL WIRELESS MESH NETWORKS

Wireless mesh networks (WMN) have arose as a technology for subsequent generation wireless networks due to its cost effectiveness and effortless deployment. The performance of wireless mesh networks can be considerably improved by multi-channel communication. The existence of interference confines the use of channel assignment in wireless mesh networks.The significance of inter-flow and intra-flow interference is ignored in existing solutions, so the information is erroneous leads to inaccurate bandwidth estimation and reservation. All the techniques to measure interference is measurement based that not holds good for practical applications.This approach proposes a distributed and polynomial-time heuristic channel assignment to minimize interference in WMNs. Inchannel allocation route delay restriction is measured to avoid every node on the tree interfering with several other nodes. Packettransmission will be affected by this interference. There will be a huge delay in packet transmission resulting packet retransmission. The projectedschemediminishes the interference properties on all prevailing multicast tree depends on the priority deliberation. This algorithm takes in to account ofall the admitted flows and utilises all theexisting channels toachieve channel allocation. This algorithm beats the previousmethodsin terms of packet delivery, end to end delay, throughput and packet loss rate. International Journal of Pure and Applied Mathematics Volume 119 No. 16 2018, 1643-1658 ISSN: 1314-3395 (on-line version) url: http://www.acadpubl. eu/hub/ Special Issue http://www.acadpubl. eu/hub/
Efficient Appearance-Based Topological Mapping and Navigation with Self-Organising Maps

Because of a mobile robot’s ability to move in its environment, one of the most important and common tasks for mobile robots is, arguably, the task of navigation. This has to be carried out in practically every mobile robot, and it has to be carried out quickly (real-time constraints) and cheaply (computational constraints). Solutions to the SLAM problem [7] provide reliable and very accurate methods which are widely used now in mobile robotics. However, these algorithms are not computationally cheap. In this paper we therefore investigate a computationally efficient algorithm for simultaneous mapping and navigation that is suitable for application in simple mobile robots. We apply selforganising maps in a novel way to image data compression and indexing of topological map nodes at the same time. Our proposed system builds a dense topological map using only the visual appearance of the environment, with no need for any feature extraction or matching. This is made possible through the novel use of a self-organising map and a relaxed attitude towards loop closure and metric consistency. The inconsistencies and uncertainties within the map are not considered during mapping, but rather only during navigation at which point a Bayesian approach is adopted. The paper concludes by presenting mobile robot experiments to demonstrate how the algorithm performs in practice.