Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSING JOB MARKET DYNAMICS USING ELK STACK

The adoption of digital technologies promises to accelerate the transformation and the agility of processes, work activities and revenue models. Yet, the promised gains come together with dramatic needs for qualified professionals who can effectively leverage the technology potential. Job contexts are being reshaped as new models for the interaction and integration of humans and technologies take shape. To increase the readiness of the job market in this fast-changing context it is important that all stakeholders – companies, professionals, policy makers – are aware of the job market dynamics and needs. This can be observed from the collection of job announcements, but its high volume requires effective tools for analyzing and simplifying it in order to draw timely and correct conclusions. ELK stack was used for dealing with the high volume of job announcements. ELK is a stable platform that can manage large quantities of data and the Kibana layer enables to rapidly explore data and create visualization dashboards. As job announcements have distinct formulations for similar roles, depending on the hiring company, this raises the necessity of establishing a common ground for comparing the job descriptions. In this work were mapped job descriptions to ESCO occupations. ESCO is an ontology published by the European Union and its occupations are job positions. Results show that the ELK stack is a suitable tool for providing a visual interpretation on the job market dynamics. Moreover, the first experiments using natural language processing techniques and machine learning algorithms revealed an accuracy over 0.9 in mapping job descriptions to ESCO occupations. This result is very promising and shows that ESCO a good candidate as common ground to enable comparison of job market dynamics for distinct environments.
Length at Maturity, Sex Ratio, and Proportions of Maturity of the Giant Electric Ray, Narcine entemedor, in Its Septentrional Distribution

Simple Summary The size at which 50 percent of a fish population reaches sexual maturity is an important parameter of life history and is useful for setting conservation goals and fishing efforts. Based on 305 individuals in a population of giant electric rays, Narcine entemedor, collected in artisanal fisheries in the Bahía de La Paz, Mexico in its northern distribution over a 2-year period, females were larger than males, but males dominated the sex ratio. Total length at maturity for females was 55.87 cm with mature females present all year; there was no apparent seasonality in the reproductive pattern. Using these data sets, there appeared to be continuous annual reproductive activity. Abstract The size at which a certain fraction of a fish population reaches sexual maturity is an important parameter of life history. The estimation of this parameter based on logistic or sigmoid models could provide different ogives and values of length at maturity, which must be analyzed and considered as a basic feature of biological reproduction for the species. A total of 305 individuals of Narcine entemedor (N. entemedor) were obtained from artisanal fisheries in the Bahía de La Paz, Mexico. For the organisms sampled, sexes were determined and total length (TL) in cm was measured from October 2013 to December 2015. The results indicated that the females were larger, ranging from 48.5 cm to 84 cm TL, while males varied from 41.5 cm to 58.5 cm TL. The sex ratio was dominated by males ranging from 45–55 cm TL, while females were more abundant from 60 to 85 cm TL. Mature females were present all year long, exhibiting a continuous annual reproductive cycle. The length at maturity data were described by the Gompertz model with value of 55.87 cm TL. The comparison between models, and the model selection between them, showed that the Gompertz model had maximum likelihood and smaller Akaike information criterion, indicating that this model was a better fit to the maturity proportion data of N. entemedor.
The prospects for a production management body of knowledge in business schools: response to Koskela (2017) “Why is management research irrelevant?”

Abstract This article is a response to Lauri Koskela’s recent piece in Construction Management and Economics (“Why is management research irrelevant? ” 35(1–2): 4–23) which reflects on the relationship between academic research and management practice in business schools. In particular, Koskela asks why production management research and teaching has disappeared from the business school agenda and why management research has failed to produce a consistent body of knowledge that is of use to management practice. In this article, I try to provide some alternative perspectives on the present and past contexts of management theory and production research. I argue that production research, if not teaching, is alive and well and the site of theory generation, problem-focused research and innovation. I also question the veracity and wisdom of a creating “body of knowledge” in relation to management research and practice-even if it were possible, which I believe it is not. My assessment of the state of research in business schools, at least in the U.K. and the U.S. and notwithstanding a lack of consensus over how to approach management research, is that it is eclectic and vibrant and of much more use to practicing managers in that state.
Arguments for modifying the geometry of a scale model rotor

Experimental measurements of the loading and wake of horizontal axis tidal stream turbines are required to inform the development of numerical models of turbine interactions. Several constraints and scaling considerations influence thedesign of a scale-representation of a tidal stream rotor. These include the conflicting requirements of Froude and Reynolds number as well as blockage scaling. Due to the dimensions of existing tank testing facilities, the Reynolds number based on the blade chord is usually significantly reduced compared with fullscale tidal turbines. At such reduced Reynolds numbers, the combined effect of decreased lift and increased drag leads to much lower torque and hence the variation of both power coefficient and thrust coefficient are different to those of a full-scale rotor. If the blade geometry is modified, rather than geometrically scaled, blade sections can be employed that demonstrate a significantly better performance at low Reynolds number. This paper presents several arguments for modifying the geometry of model scale rotors for the purposes of representative wake modelling. Performance predictions for 3-bladed rotors are obtained using Tidal Bladed, a rotor design tool based on a blade element momentum (BEM) method. Experimental testing is a key component of the Energy Technologies Institute commissioned PerAWaT project. Case studies are presented for rotors of approximately 1/30th and 1/70th of a representative full-scale rotor. It is shown that this rotor design process can be used to produce a variation of thrust coefficient with tip-speed ratio that is similar to a full-scale device.
DESTRUCTIVE DIELECTRIC CHARACTERIZATION OF MATERIAL USING MICROSTRIP RING RESONATOR.

Hussein Kassem 1 , Hayssam El-Hajj 1 , Rabih Rammal 1 , Ismail El-Sayad 1 , Mohammad Hawila 2 and Ahmad Hamdan 2 . 1. International university of Beirut (BIU), Beirut, Lebanon. 2. Lebanese international university (LIU), Beirut, Lebanon. Manuscript Info Abstract . Manuscript History
Mathematical Methods and Algorithms for Signal Processing

I. INTRODUCTION AND FOUNDATIONS. 1. Introduction and Foundations. II. VECTOR SPACES AND LINEAR ALGEBRA. 2. Signal Spaces. 3. Representation and Approximation in Vector Spaces. 4. Linear Operators and Matrix Inverses. 5. Some Important Matrix Factorizations. 6. Eigenvalues and Eigenvectors. 7. The Singular Value Decomposition. 8. Some Special Matrices and Their Applications. 9. Kronecker Products and the Vec Operator. III. DETECTION, ESTIMATION, AND OPTIMAL FILTERING. 10. Introduction to Detection and Estimation, and Mathematical Notation. 11. Detection Theory. 12. Estimation Theory. 13. The Kalman Filter. IV. ITERATIVE AND RECURSIVE METHODS IN SIGNAL PROCESSING. 14. Basic Concepts and Methods of Iterative Algorithms. 15. Iteration by Composition of Mappings. 16. Other Iterative Algorithms. 17. The EM Algorithm in Signal Processing. V. METHODS OF OPTIMIZATION. 18. Theory of Constrained Optimization. 19. Shortest-Path Algorithms and Dynamic Programming. 20. Linear Programming. APPENDIXES. A. Basic Concepts and Definitions. B. Completing the Square. C. Basic Matrix Concepts. D. Random Processes. E. Derivatives and Gradients. F. Conditional Expectations of Multinomial and Poisson r.v. s.
Ingenieurfakultät Bau Geo Umwelt Lehrstuhl für Hydrologie und Flussgebietsmanagement Dynamic flood inundation forecasting in real-time including associated uncertainties for operational flood risk management

Floods are one of the most destructive natural hazards and have severe social and economic impacts. Therefore, improvements are urgently required in the operational flood risk management, in particular, the qualitative assessment of existing flood forecasting and early warning systems. With the objective of improving flood forecasting, I have divided this dissertation into four research topics; (i) inundation forecast validation, (ii) real-time flood inundation forecasting, (iii) uncertainty quantification of forecasting models, and (iv) communication of uncertainties. In operational flood forecasting, hydrological models are used to forecast only discharges at specific gauges. However, to determine the distributed predictions of flood hazards, hydrodynamic models should be used to generate high-resolution spatialtemporal flood inundation maps. These maps depict inundated areas for floods above certain exceedance levels, which improves flood risk assessment by enhancing civil security and urban development. Despite the importance of flood inundation maps, flood management agencies do not generate them in real-time since unsteady hydrodynamic models are data-rich and computationally too expensive to run. To tackle this issue, I have developed a framework for real-time flood forecasting based on a pre-recorded scenario database. The framework overcomes the high computational time required by hydrodynamic models to provide dynamic inundation maps. It consists of 180 scenarios and uses real-time discharge forecasts as an input to generate inundation maps for a lead-time of 12 hours. To evaluate the accuracy and predictive capabilities of the inundation forecasts, their validation is essential, and it is important to build trust by reducing false alarms with the help of validation data. However, spatial and temporal flood validation data is scarce in urban areas. Fortunately, recent technological developments have led to new genres of data sources, such as images and videos from smartphones and CCTV cameras. I have presented a new methodology that employs this validation data in a flood forecasting framework in order to improve the forecasting and to establish a communication from crowd-source back to the inundation forecasts. The results show that with the use of validation data, the number of false alarms, as well as the equifinality in the model parameters, can be reduced significantly. Furthermore, incorporating uncertainties into flood risk assessment has received increasing attention over the last two decades. However, the uncertainties are often not
AN INVESTIGATION OF AN EXTENSION OF ITEM SAMPLING WHICH YIELDS INDIVIDUAL SCORES1

The sampling procedures were designed so that the full matrix of item variances and covariances could be estimated. Three subtest sizes were investigatedsubtests of size five, nine and sixteen items. In each of these implementations a double cross validation was used yielding two predicted scores for each individual. Discrepancy measures were also computed showing the difference between the observed and the predicted scores. The prediction of individual scores was accomplished within various ranges of error. The correlations between predicted scores and observed scores ranged from the . 70's to the . 90's, depending on the number of predictor variables used. The procedure is applicable in situations in which large numbers of individuals are tested or in situations where multiple measures are taken. In Lord's (1960, 1962) alternative procedure to traditional testing, samples of individuals receive various samples of items. The data which are collected by this method are summarized so that various moments of the population distribution on all items may be estimated. On the basis of various samples taken, the test constructor makes inferences about the distribution of the trait in the population. There is no attempt to make inferences concerning the status of the trait in the individuals who took any of the samples of items. Although the responses of an individual to a sample of items may be a legitimate basis of inference for the individual's status on the trait, the lack of a common base of data for all individuals makes the scores noncomparable. The procedure is suggested as a means of obtaining group data without consuming great amounts of time from any individual in the sample. It assumes only that the items are considered random samples from some universe of items and that responses to an item do not depend upon the context in which the item is presented. The present study explored the possibility of using a quasi-item sampling model for data collection. This model was proposed not only to allow the estimation of the group mean and variance on the total test, i.e., measures provided in the item sampling model of norming a test, but also to provide a basis for the prediction of individual scores on the total test, i.e., measures provided in the examinee sampling model for norming a test.
Pricing American options written on two underlying assets

This paper extends the integral transform approach of McKean [Ind. Manage. Rev., 1965, 6, 32–39] and Chiarella and Ziogas [J. Econ. Dyn. Control, 2005, 29, 229–263] to the pricing of American options written on more than one underlying asset under the Black and Scholes [J. Polit. Econ., 1973, 81, 637–659] framework. A bivariate transition density function of the two underlying stochastic processes is derived by solving the associated backward Kolmogorov partial differential equation. Fourier transform techniques are used to transform the partial differential equation to a corresponding ordinary differential equation whose solution can be readily found by using the integrating factor method. An integral expression of the American option written on any two assets is then obtained by applying Duhamel’s principle. A numerical algorithm for calculating American spread call option prices is given as an example, with the corresponding early exercise boundaries approximated by linear functions. Numerical results are presented and comparisons made with other alternative approaches.
Intelligent Recognition of Characters from Ancient Manuscripts-A Review

Now a days, Intelligent Character Recognition used for various application such as bank, school-colleges,online business. Intelligent Character Recognition used in handwritten document recognition, which written in different styles and format. Ancient manuscripts one of the area where automatic character recognition is required. India has prosperous collection of manuscripts, available at museums, National library in degraded form. A major steps taken by Government, Institutes and some organization for preserving these manuscripts. The research work has been done mainly in image processing area for preserving manuscripts, and it get succeed it. These manuscripts were written in various scripting languages and with different writing styles. Mainly manuscripts were written in continuous manner without picking the pen, which gives the character a cursive appearance. Character Recognition systems worked on the normal handwritten documents, but faces difficulties to read a cursive characters. With the help of Artificial Intelligence system are able to recognize characters by feature extraction and classification technique. The major hurdles of character recognition from ancient manuscripts are degraded manuscripts,different writing styles, similar character form. Details regarding recognizing characters from ancient documents are reviewed in this paper.
Nature-Inspired MPPT Algorithms for Partially Shaded PV Systems: A Comparative Study

PV generating sources are one of the most promising power generation systems in today’s power scenario. The inherent potential barrier that PV possesses with respect to irradiation and temperature is its nonlinear power output characteristics. An intelligent power tracking scheme, e.g., maximum power point tracking (MPPT), is mandatorily employed to increase the power delivery of a PV system. The MPPT schemes experiences severe setbacks when the PV is even shaded partially as PV exhibits multiple power peaks. Therefore, the search mechanism gets deceived and gets stuck with the local maxima. Hence, a rational search mechanism should be developed, which will find the global maxima for a partially shaded PV. The conventional techniques like fractional open circuit voltage (FOCV), hill climbing (HC) method, perturb and observe (P&O), etc., even in their modified versions, are not competent enough to track the global MPP (GMPP). Nature-inspired and bio-inspired MPPT techniques have been proposed by the researchers to optimize the power output of a PV system during partially shaded conditions (PSCs). This paper reviews, compares, and analyzes them. This article renders firsthand information to those in the field of research, who seek interest in the performance enhancement of PV system during inhomogeneous irradiation. Each algorithm has its own advantages and disadvantages in terms of convergence speed, coding complexity, hardware compatibility, stability, etc. Overall, the authors have presented the logic of each global search MPPT algorithms and its comparisons, and also have reviewed the performance enhancement of these techniques when these algorithms are hybridized.
Abelian extensions of regular local rings

The integral closure of a regular local ring in a finite Abelian extension of its quotient field is Cohen-Macaulay, provided that the degree of the extension is not divisible by the characteristic of the residue field. THEOREM. Let R be a regular local ring, K its quotient field, and L a finite Galois extension of K with Abelian Galois group, which we denote G. Assume that the order of G is not divisible by the characteristic of the residue field of R. Then if S is the integral closure of R in L, S is Cohen-Macaulay. PROOF. We first note that since L is assumed to be a Galois extension of K, and thus separable, S is a finitely generated R-module. Since S is integrally closed, it is therefore reflexive as an R-module; that is, the natural map from S to S**= HomR(HomR(S, R), R) is an isomorphism (see Bourbaki [1, Chapter 7, ? 4.8]). The action of the Galois group G on L makes L into a K[G]-module; since any K-automorphism of L must preserve the integral elements over R, S similarly becomes an R[G]-module. The usual isomorphism: S ? R K -L can then be considered as an isomorphism of K[ G ]-modules. The Normal Basis Theorem then says that there is an element of L whose conjugates form a basis for L over K; or, in other words, that L is isomorphic to K[G] as a K[G]-module. Hence S is an R[G]-module such that S ? R K K[G] as K[G]-module. We wish to show that S is a Cohen-Macaulay ring, and we will do this by showing that it is isomorphic to R' (where n is the degree of L over K) as an R-module. We first reduce to the case where R is complete with algebraically closed residue field. LEMMA. Let R -> R' be a faithfully flat extension of regular local rings. Then if S= S ? RR' and K' is the quotient field of R', we have: (a) S' is a reflexive R'-module. (b) If S' = (R')' as R'-module, then SR' as R-module. (c) S' is an R'[G]-module such that S' ? R' K'K'[G] as K'[G]-module. PROOF OF LEMMA. Since R' is flat over R, the natural map from HomR(M, N) ? R R' to HomR,(R' ? R M, R' ? R N) is an isomorphism whenever M is a finitely presented R-module; hence, applying this twice, S** OR R'-(S')** is an isomorphism. Thus the diagram Received by the editors July 12, 1978 and, in revised form, November 30,1978. AMS (MOS) subject classifications (1970). Primary 13H10; Secondary 13B05. 1980 American Mathematical Society 0002-9939/80/0000-0102/$02.00
A new method for the Detection of Anomalies in Streaming Data Malicious URL Segmentation and Classification using Machine Learning Techniques

PC networks have created to present serious dangers since they are continually focused on by different attacks. New assaults and patterns are being passed along; these attacks focus on all open ports that are available on the organization. For this, various advancements are accessible, including network planning and weakness screening. Lately, AI (ML) has been a famous technique used to take care of the Intrusion Detection System's (IDS) capacity to distinguish malevolent network traffic. The nature of the dataset used to prepare the model is crucial for how well ML models recognize abnormalities. The aggressor in an organization attack should know about the dynamic locations, network construction, and administrations that are accessible. At the point when shared administrations are related with certain ports on a framework, network scanners might recognize open ports, whether they are TCP or UDP ports, and an assailant could send parcels to each port in the event that they decide. TCP fingerprinting capacities of different sellers' frameworks' reactions to unlawful parcel structures Different TCP/IP stack reactions are shipped off unlawful bundles. Thus, by sending an assortment of unlawful bundle blends, opening an association with a RST parcel, or blending other odd and unlawful TCP code bits, the assailant can find out the OS. The motive of the paper is for the detection and classification of the anomalies present in the URL along with segmentation of it with the help of machine learning techniques and a accurate comparison for the same.
Splicing Algebraic Links

In this paper we give an introduction to the terminology of splicing (see "Three-dimensional link theory and invariants of plane curve singularities" by Eisenbud and Neumann, [END and then describe how to compute a normal form representation of the real monodromy and Seifert form for the link of a plane curve singularity from this point of view (it was done via a resolution diagram for the singularity in [N3J). It has been conjectured that this might be a complete invariant for the topology of an isolated complex hypersurface singularity in any dimension; the originator now denies responsibility and will remain unnamed, but the conjecture is still unresolved. Many of the required invariants are computed in [EN] and we just review these computations. The first four sections and Theorem 5.1 are survey and review; the main new result is the computation of the equivariant signatures of the monodromy via splicing in Theorem 5.3. This computation applies also to general graph links. A link for us is a pair (l', K) where l' is an oriented homology 3sphere and K is a disjoint union of oriented circles in l'. Let (V, p) be a germ of a normal complex surface at a Z-homology manifold point, that is H*(V, V-p; Z)=H*(C2, C 2 -O; Z). Let f: (V,p)--+(C, 0) be the germ of an analytic map. We may assume (V,p) embedded in some ambient (cn,O) and then by intersecting (V,f-! (O)) with a sufficiently small sphere about 0 E Cn, we obtain the link (l', K(f)) of f We call such a link an algebraic graph link; if (V, p) = (C 2, 0), it is just the link of a plane curve singularity. We make no reducedness assumption on f; thus each branch of fleO), and correspondingly each component of K(f), carries a positive integer multiplicity; in the terminology of [EN], (l', K(f)) is a multilink. A link is the special case of a multilink with all multiplicities equal to 1. The invariants we are interested in are invariants of the Milnor