Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Encryption using SCT and access control using TRBAC in Cloud Computing for Big Data

Akhilesh Dwivedi Research Scholar-IT, DSB Campus Kumaon University, Nainital dwivedian5@gmail.com R P Pant Deptt of Mathematics, DSB Campus, Kumaon University pant_rp@rediffmail.com Durgesh Pant Deptt of Science and Technology, Uttarakhand Science Education and Research Centre (USERC) durgesh.pant@gmail.com Martand Pande Free Lancer martandpande15@gmail.com Senam Pandey Free Lancer senampandey@gmail.com -------------------------------------------------------------------ABSTRACT--------------------------------------------------------------Cloud Computing is the emerging trend to process different types of data and provide different services, and Big data is the huge source of such data. In this paper we proposed a framework in which we encrypt data with clock timing and then provide access according to task and role of the user. By this we can achieve a full secured and authorized access to cloud user with secure big data user.
Functional and Imperative Object-Oriented Programming in Theory and Practice

Functional programming (FP) has progressively become more prevalent and techniques from the FP paradigm has been implemented in many different Imperative object-oriented programming (OOP) languages. However, there is no indication that OOP is going out of style. Nevertheless the increased popularity in FP has sparked new discussions across the Internet between the FP and OOP communities regarding a multitude of related aspects. These discussions could provide insights into the questions and challenges faced by programmers today. This thesis investigates these online discussions in a small and contemporary scale in order to identify the most discussed aspect of FP and OOP. Once identified the statements and claims made by various discussion participants were selected and compared to literature relating to the aspects and the theory behind the paradigms in order to determine whether there was any discrepancies between practitioners and theory. It was done in order to investigate whether the practitioners had different ideas in the form of best practices that could influence theories. The most discussed aspect within FP and OOP was ​immutability and state​ relating primarily to the aspects of ​concurrency ​and ​performance​. This thesis presents a selection of representative quotes that illustrate the different points of view held by groups in the community and then addresses those claims by investigating what is said in literature. It was shown that there were no direct discrepancies between the practitioners and the theory.
An experimental investigation of slamming on ocean racing yachts

Groupe Finot Naval Architects and the School of Engineering Sciences, Ship Science of the University of Southampton have started a joint research project to carry out an experimental investigation concerning the effects of slamming on offshore sailing yachts. A reliable autonomous data acquisition system was designed that allowed measurements to be taken during long offshore races. The details of the design and implementation of this system are presented together with some sample results from the first measurement campaigns.
A New 3 D Line of Gaze Estimation Method with Simple Marked Targets and Glasses

The existing gaze estimation methods can be classified with respect to their main assumptions about the problem and the equipment required. The first type of methods employ infrared (IR) type light sources near the camera to produce a light reflection on the cornea (For example, Villanueva et al., 2006). The distance between the reflection of the light(s) and the pupil center can be used for estimating the eye gaze directly. These systems usually produce accurate results but they may not work when there are other light sources in the environment. The second type of gaze estimation methods use more than one camera to allow relaxed head movement restrictions (Boening et al., 2006). The third type of these methods do not use any lights or extra cameras. However, these systems have serious head movement restrictions and their accuracies are not as good as others (For example, Valenti, et al., 2009). It should be noted that some of the methods mentioned above report Point of Regard (PoR) estimations as gaze estimation values. PoR usually involves a mapping between the pupil center positions and the screen coordinates without any detailed 3D processing. LoG estimation, on the other hand, requires extensive 3D modeling of the head and the eyes, which makes them robust against head movements.
An Unusual Case of Spontaneous Coronary Artery Dissection

Background: Spontaneous coronary artery dissection (SCAD) is a relatively rare cause of acute coronary syndrome. SCAD usually occurs both in young women or multiparous women either during pregnancy or in early post-partum period. Here we report an unusual case of SCAD in a middle-aged woman with no predisposing factors for SCAD. Case Summary: A 42-year old female presented with intermittent chest pain, obstetrical history of one child birth seven years back and currently with no other cardiac risk factors. Electrocardiogram showed T-wave inversions in the anterior leads. Stress cardiolite test showed mild partially reversible defect involving anterior/anterio-septal wall. Coronary angiography was performed and SCAD was observed in left anterior descending artery (LAD). She underwent percutaneous coronary angioplasty and stenting, was hemodynamically stable and was later discharged in good condition with the alleviation in symptoms. Discussion: SCAD usually occurs in young patients during pregnancy or in early post-partum period but it should also be considered in middle aged women unrelated with pregnancy. We suggest that women especially who do not have any cardiac risk factors, should not be treated with thrombolytic.
The geometry of the set of real square roots of $\pm I_2$

In this paper we study the geometry of the set of real square roots of $\pm I_2$. After some introductory remarks, we begin our study by deriving by quite elementary methods the forms of the real square roots of $\pm I_2$. We then discuss the interpretations of these square roots as transformations of the cartesian $(x,y)$-plane. To study the geometry of the set of square roots of $\pm I_2$ we consider a slightly more general set of square matrices of order $2$ and show that these sets are hyperboloids of one sheet or hyperboloids of two sheets. From these general results we conclude that the set of involutory matrices of order 2 is a hyperboloid of one sheet and the set of skew-involutory matrices of order 2 is a hyperboloid of two sheets. The relations between the geometrical properties of the hyperboloids and the set of square roots of $I_2$ are also investigated. We then proceed to obtain the forms of the involutory matrices of order 2 by more advanced methods. We have considered two approaches: in the first approach we use the concept of a function of a matrix and in the second approach we use concepts of split-quaternions.
Effect of individualized nursing intervention after percutaneous coronary intervention

Objective: To explore the effect of individualized nursing intervention after percutaneous coronary intervention (PCI). Methods: A total of 200 patients undergoing PCI were enrolled and divided into experimental group and control group according to the random number table, with 100 patients in each group. Individualized nursing was carried out on patients in the experimental group, and routine cardiovascular medicine nursing on patients in the control group. The patients were followed up for 6 months. The self-rating depression scale (SDS) score, Ricker sedation-agitation score (SAS), Pittsburgh sleep quality index (PSQI), Karnofsky performance status (KPS) score, incidence of complications and nursing satisfaction of patients in the two groups were observed and compared among the 1st day, 3rd and 6th months after operation. The clinical efficacy was evaluated. Results: The SDS, SAS and PSQI scores of patients in the experimental group were significantly lower than those in the control group on the 1st day and 3rd month after operation (all P<0.05), while there were no significant differences between the two groups on the 6th month after operation (all P>0.05). The KPS score and nursing satisfaction of patients in the experimental group were significantly higher than those in the control group (P=0.014, P=0.002). The incidence of complications of patients in the experimental group was lower than that in the control group (all P<0.05). Conclusion: Individualized nursing, as a feasible intervention, is more conducive to the rehabilitation of patients undergoing PCI and the improvement of their anxiety, sleep quality and quality of life, as well as the reduction of postoperative complications.
Effects of one-time exhaustive exercise on skeletal muscle ultrastructure , satellite cells and hepatocyte growth factor in rats

Skeletal muscle injuries are frequently occurred in various sports, among which satellite cells play a key role in the repair of skeletal muscle injury, and hepatocyte growth factors are the only growth factor that can activate satellite cells. This study aimed to investigate the effects of one-time exhaustive exercise on skeletal muscle ultrastructure, satellite cells and hepatocyte growth factor in rats. Samples were harvested from 24 rats in a quiescent state (control group) or at different time points after exhaustive exercise (E0, E24 and E48 groups) for observation of skeletal muscle ultrastructure change and determination of hepatocyte growth factor level in skeletal muscle and serum. Satellite cells harvested from the vastus lateralis of rats in control group and E0, E24 and E48 groups were cultured in vitro. Satellite cells harvested from the vastus lateralis of another six neonatal rats were also cultured in vitro. Rat skeletal muscle and serum hepatocyte growth factor levels in the exhaustive exercise (E0, E24 and E48) groups were significantly greater than that in the control group (P < 0.01). The number of satellite cells per unit volume of skeletal muscle in the E0, E24 and E48 groups was greater than that in the control group, but satellite cells in the E0, E24 and E48 groups proliferated faster with time going. Compared to adult rats, absolute satellite cell number in muscle tissue was less, but the number of satellite cells per unit volume of tissue was greater than that in the neonatal rats. Hepatocyte growth factor can activate satellite cells and accelerate repair of soft tissue and microvessels. The number of satellite cells per unit volume of skeletal muscle is greater in rats subjected to exhaustive exercise and these cells exhibit stronger proliferative ability than those in the control rats. Therefore, exhaustive exercise can activate quiescent satellite cells. The number of satellite cells per unit volume of tissue in neonatal rats is greater and their proliferative ability is stronger than that in adult rats.
MICROSERVICE TEST PROCESS: DESIGN AND IMPLEMENTATION

: The objective of this study is to develop a test process approach for microservices. Microservice architecture can reduce the development costs of web systems and shift the accidental complexity from the application to the infrastructure. In this paper, we provide an analysis and description of the microservice test process, as well as an example implementation of the software system, that supports the described process. An example of usage demonstrates the advantages of our solution in the real environment.
Dexmedetomidine pretreatment alleviates cerebral ischemia-reperfusion injury in rats through resisting oxidative damage and regulating TGF-β 1 / Smad 2 / 3 signaling pathway

Background: Cerebral ischemia-reperfusion (I/R) injury is a clinical frequently-occurring and common disease. Dexmedetomidine (DEX), a novel highly selective α2A-adrenergic receptor agonist, has been widely used in various fields of clinic. The oxidative damage and transforming growth factor-β1 (TGF-β1)/Smad2/3 signaling pathway are involved in I/R injury. This study aimed to investigate the protective effects of DEX on cerebral I/R injury in rats through resisting oxidative stress and regulating TGF-β1/Smad2/3 signaling pathway. Methods: Fifty SD rats were randomly divided into sham-operation, I/R, and low-, middleand high-dose DEX group, 10 rats in each group. In later four groups, the cerebral I/R model was established. In addition, at 30 min before establishment of I/R model, the low-, middleand high-dose DEX group were intraperitoneally injected with DEX with dose of 10, 20 and 40 mg/kg, respectively. After 24 h from ischemia, the neurological deficit scores, serum tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-β) levels, brain water content (BWC), percentage of brain infarction area (BIA), brain tissue superoxide dismutase (SOD) and glutathione peroxidase (GSH-Px) activity, malondialdehyde (MDA), cyclooxygenase (COX-2) and 5 lipoxygenase (5-LOX) level and TGF-β1 and phosphorylated Smad2/3 (p-Smad2/3) protein expression were determined. Results: After treatment, compared with I/R group, the neurological deficit score, BWC, percentages of BIA, serum TNF-α and IL-1β level, and brain tissue MDA, COX-2 and 5-LOX level in highdose DEX group were significantly decreased, respectively (P < 0.05), and the brain tissue SOD and GSH-Px activity and TGF-β1 and p-Smad2/3 expression level in high-dose DEX group were significantly increased, respectively (P < 0.05). Pearson correlation analysis showed that, the brain tissue SOD and GSH-Px activity were positively correlated with brain tissue TGF-β1 and p-Smad2/3 level, respectively (P < 0.05 or P < 0.01) Conclusion: DEX pretreatment can alleviate the cerebral I/R injury in rats. The mechanism may be related to its resistance of oxidative damage and up-regulation of TGF-β1/Smad2/3 signaling pathway in brain tissue.
Data-driven assessment of structural evolution of RDF graphs

Since the birth of the Semantic Web, numerous knowledge bases have appeared. The applications that exploit them rely on the quality of their data through time. In this regard, one of the main dimensions of data quality is conformance to the expected usage of the vocabulary. However, the vocabulary usage (i.e., how classes and properties are actually populated) can vary from one base to another. Moreover, through time, such usage can evolve within a base and diverges from the previous practices. Methods have been proposed to follow the evolution of a knowledge base by the observation of the changes of their intentional schema (or ontology); however, they do not capture the evolution of their actual data, which can vary greatly in practice. Inthis paper, we propose a data-driven approach to assess the global evolution of vocabulary usage in large RDF graphs. Our proposal relies on two structural measures deﬁned at different granularities (dataset vs update), which are based on pattern mining techniques. We have performed a thorough experimentation which shows that our approach is scalable, and can capture structural evolution through time of both synthetic (LUBM) and real knowledge bases (different snapshots and updates of DBpedia).
1922 SOME RESULTS ON 4-TRANSITIVE DIGRAPHS

Let D be a digraph with set of vertices V and set of arcs A. We say that D is k-transitive if for every pair of vertices u, v ∈ V , the existence of a uv-path of length k in D implies that (u, v) ∈ A. A 2-transitive digraph is a transitive digraph in the usual sense. A subset N of V is k-independent if for every pair of vertices u, v ∈ N , we have d(u, v), d(v, u) ≥ k; it is l-absorbent if for every u ∈ V \ N there exists v ∈ N such that d(u, v) ≤ l. A k-kernel of D is a k-independent and (k − 1)-absorbent subset of V . The problem of determining whether a digraph has a k-kernel is known to be NP-complete for every k ≥ 2. In this work, we characterize 4-transitive digraphs having a 3-kernel and also 4-transitive digraphs having a 2-kernel. Using the latter result, a proof of the Laborde-Payan-Xuong conjecture for 4-transitive digraphs is given. This conjecture establishes that for every digraph D, an independent set can be found such that it intersects every longest path in D. Also, Seymour’s Second Neighborhood Conjecture is verified for 4-transitive digraphs and further problems are proposed.
WEOTAWEO 2 LSTM WEO 1 Encoding WSS 1 WSS 2 WSSTB Decoding Attention Cell

In this work we formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural networks (RNN) model for image caption generation. Different from most existing work where the whole image is represented by convolutional neural network (CNN) feature, we propose to represent the input image as a sequence of detected objects which feeds as the source sequence of the RNN model. In this way, the sequential representation of an image can be naturally translated to a sequence of words, as the target sequence of the RNN model. To represent the image in a sequential way, we extract the objects features in the image and arrange them in a order using convolutional neural networks. To further leverage the visual information from the encoded objects, a sequential attention layer is introduced to selectively attend to the objects that are related to generate corresponding words in the sentences. Extensive experiments are conducted to validate the proposed approach on popular benchmark dataset, i.e., MS COCO, and the proposed model surpasses the state-of-the-art methods in all metrics following the dataset splits of previous work. The proposed approach is also evaluated by the evaluation server of MS COCO captioning challenge, and achieves very competitive results, e.g., a CIDEr of 1.029 (c5) and 1.064 (c40).
DEM Working Paper Series Banks ’ leverage behaviour in a two-agent New Keynesian model

In a NK model with two types of rational agents, savers and capitalists, and nonmaximizing banks, financial shocks do affect the macroeconomic dynamics depending on banks’behaviour as for their leverage ratio. We first show that the level of banks’ leverage which may be imposed by banks regulation affects the steady state level of output, employment and consumption, as might be expected in a non-ModiglianiMiller world. Different banks’ behaviour after a shock has widely different effects on the macroeconomic dynamics: passive leverage results to be shock absorbing and capable of neutralizing an initial financial shock, whilst procyclical behaviour implies higher and more persistent instability and distributive effects than the constant leverage behaviour. Finally, we show that the interaction of procyclical leverage with hysteresis in output and employment stregthens the persistence of financial shocks. JEL: E32; E44; E70; G01.
Argument Extraction Challenges in a New Web Paradigm

The exchange of comments, opinions and arguments in blogs, social media, commercial websites or wikis is transforming the Web into a modern agora, a virtual place where all types of debates take place. This wealth of information remains unexploited: the purely textual form of online arguments leaves limited room for automated processing and the available methodologies of computational argumentation focus on logical arguments, failing to properly model online debates. We envision a formal, machine-interpretable representation of debates that would enable the discovery, tracking, retrieval, combination, interrelation, extraction and visualization of the vast variety of viewpoints that already exist on the Web, in a way that goes beyond simple keywordbased processing. This paper describes this vision and the related challenges, focusing on challenges related to argument extraction.
19-7 Fiscal Policy Options for Japan

Olivier Blanchard is the C. Fred Bergsten Senior Fellow at the Peterson Institute for International Economics and the Robert M. Solow Professor of Economics emeritus at MIT. He was economic counselor and director of the Research Department at the International Monetary Fund. Takeshi Tashiro is a visiting fellow at the Peterson Institute for International Economics. The authors thank Jérémie Cohen-Setton, Joseph Gagnon, Egor Gornostay, Gonzalo Huertas, Álvaro Leandro, Eric Peters, Adam Posen, Ted Truman, Nicolas Véron, Ángel Ubide, and Jeromin Zettelmeyer for comments. They also benefited from comments from and discussions with the International Monetary Fund’s Japan and fiscal teams. The views expressed in the paper are solely those of the authors and do not represent the views of the organization to which they belong.
Local Koopman Operators for Data-Driven Control of Robotic Systems

This paper presents a data-driven methodology for linear embedding of nonlinear systems. Utilizing structural knowledge of general nonlinear dynamics, the authors exploit the Koopman operator to develop a systematic, data-driven approach for constructing a linear representation in terms of higher order derivatives of the underlying nonlinear dynamics. With the linear representation, the nonlinear system is then controlled with an LQR feedback policy, the gains of which need to be calculated only once. As a result, the approach enables fast control synthesis. We demonstrate the efficacy of the approach with simulations and experimental results on the modeling and control of a tail-actuated robotic fish and show that the proposed policy is comparable to backstepping control. To the best of our knowledge, this is the first experimental validation of Koopmanbased LQR control.
2 III . Error Localization : Selective Editing Using SeleMix A . Contaminated Normal Distribution

1. The automatic data editing process is typically divided into two steps. The first step is error localization, where errors in the dataset are identified by some error detection methods. The second step is imputation, where errors are corrected by some imputation methods. The aim in this project is to propose a way to automate part of the editing process for the Japanese economic surveys. To attain this goal, we use the dataset of the Economic Census for Business Activity, which was conducted for the first time in Japanese history in February 2012. First, we contaminate the dataset by artificial errors. Next, in the error localization step, we apply R package SeleMix to detect the errors in the dataset. Then, in the error correction step, we employ the three competing multiple imputation algorithms, which are Markov chain Monte Carlo (MCMC), Fully Conditional Specification (FCS), and Expectation-Maximization with Bootstrapping (EMB). For this purpose, we use R packages Norm (MCMC), Mice (FCS), and Amelia II (EMB). Finally, we compare the performance of the error correction by these three algorithms against the true values in the dataset.