Miracle-dz/UniFAR-FTUs huggingface dataset:
Financial Statement Fraud Detection using Text Mining

Data mining techniques have been used enormously by the researchers' community in detecting financial statement fraud. Most of the research in this direction has used the numbers (quantitative information) i.e. financial ratios present in the financial statements for detecting fraud. There is very little or no research on the analysis of text such as auditor's comments or notes present in published reports. In this study we propose a text mining approach for detecting financial statement fraud by analyzing the hidden clues in the qualitative information (text) present in financial statements.
The Handbook of Behavioral Operations

The Handbook of Behavioral Operations offers a comprehensive resource that fills the gap in the behavioral operations management literature. This vital text highlights best practices in behavioral operations research and identifies the most current research directions and their applications. A volume in the Wiley Series in Operations Research and Management Science, this book contains contributions from an international panel of scholars from a wide variety of backgrounds who are conducting behavioral research.
Essai de méthodologie en pays karstique : étude de problèmes hydrogéologiques et géotechniques dans le massif des Morières (Nord-Toulon-Var) /

La Societe du Canal de Provence a ete creee pour realiser les ouvrages indispensables a l'irrigation et l'alimentation en eau des Communes de la region. La Durance et le Verdon, principales rivieres du Sud-Est, fournissent par l ' intermediaire d'un canal mixte construit par l'E. D.F. les metres-cubes destines aux Departements du Var et des Bouches-du-Rhone. Un reseau de galeries et de canaux ( ou cuvettes) diffuse l'eau sur l'ensemble des deux departements. La branche dite de " Toulon Est" ou " Var III " devra, dans un premier temps, alimenter la Ville de Toulon en eau potable, puis, par un reseau de canaux secondaires, irriguer a l'Est la region d'Hyeres.Dans le memoire presente ici, nous avons essaye de conserver cette optique . En tenant compte de l'etude preliminaire realisee par Ch. Choquet ( 1972 ) et en liaison avec les travaux poursuivis par la S.C. P., nous avons repris l'etude geologique et structurale du secteur, afin de preciser les observations geologiques de surface et de les coordonner plus etroitement avec les observations que nous avons realisees sur les 14 kilometres de galerie. Le secteur situe a l'Ouest du Gapeau est constitue par le massif des Morieres ou ont ete creusees les galeries de Montrieux et de Valaury . Nous avons particulierement etudie la fracturation et la fissuration des roches tant en surface qu'en galerie car il s'agit la d'un element fondamental pour la connaissance de l'hydrogeologie et du comportement geotechnique du massif traverse. L'etude des caracteristiques hydrogeologiques du massif des Morieres n'avait jamais ete realisee et en dehors de son interet general pour la comprehension du regime de l'infiltration et des circulations souterraines, il etait essentiel de connaitre les caracteres des sources situees a la peripherie du massif et leur mode d'alimentation afin de determiner les repercussions eventuelles du creusement de la galerie sur leur regime. L'etude des systemes karstiques qui se sont reveles assez abondants dans la region meritait d'etre developpee en liaison avec l'etude hydrogeologique, et nous nous sommes appuyes a la fois sur les observations faites en galerie et sur divers essais d'application de methodes geophysiques pour mieux comprendre leur origine et les localiser . Nous avons enfin essaye de relier les resultats de l'analyse structurale que nous avons realisee avec les mesures electriques et sismiques pour determiner les caracteristiques geotechniques des diverses formations dont la connaissance est indispensable au maitre d'oeuvre et aux entreprises. Au cours de l'expose des resultats de nos recherches, nous essayerons de faire apparaitre les avantages et les inconvenients des techniques employees afin de faciliter la mise au point d'une methodologie de plus en plus complete et rigoureuse pour la realisation de projets de galeries e n terrains calcaires .
An 8-bit 200 Ms/s 500 mW BiCMOS ADC

This paper presents an 8-bit 200 M-sample/s (Ms/s) 500 mW analog-to-digital converter (ADC) applicable to liquid crystal display (LCD) driver systems. The ADC features such circuit techniques as a low-power and high-speed comparator, an open-loop sample-and-hold amplifier with a 3.4 ns acquisition time, and a fully differential two-step architecture, and it has been fabricated with a 0.8 /spl mu/m BiCMOS process onto an area of only 12 mm/sup 2/.
Identifying Performance Bottlenecks In A Radiative TransferApplication

The Hydrolight software is a well known radiative transfer solver, written in Fortran 77, intended for hydrologic optics problems. It was developed by C. D. Mobley and it is based on an invariant imbedding methodology that yields a system of non-linear ordinary differential equations, the Riccati equations, which are solved by routines that implement numerical methods. This work proposes an innovative strategy for identifying performance bottlenecks and optimising a code using both standard profiling tools and accessing specific cpu registers and a time counter. The execution profile in a RISC worst at ion shows that most of the processing time is spent in solving Riccati equations, what is accomplished by a Runge-Kutta algorithm. The time-consuming routines were identified and a timing routine based on system wall time was used to analyse which are the critical parts of these routines. The code was then ported to an Intel monoprocessor, running under Linux, in order to be monitored by cpu event counters. Based on this detailed data, classical optimisations were performed in the related routines and the code was re-run and its performance re-evaluated. The optimised code was ported back to the RISC workstation and benchmarked again. Another step was to port the time-intensive routines to Fortran 90 arid check performance enhancements. We are currently parallelising the new code on a Beowulf-class system based on Pentium-Pro processors. The main technique that we are employing in this task is the insertion in the Fortran 90 code of High Performance Fortran (HPF) directives yielding a code suitable for both shared memory or distributed memory parallel systems. Applications of High Performance Computing in Engineering VI, C.A. Brebbia, M. Ingber & H. Power (Editors) © 2000 WIT Press, www.witpress. com, ISBN 1-85312-810-4
A greedy approach to object identification in imperative code

The benefits of such recent innovations as object-oriented programming are not realized in most systems currently in use because they are, on average, over 10 years old. Additionally, they suffer from extensive maintenance. The paper addresses these concerns in the context of reverse engineering. It discusses the development of a method to identify objects in imperative code, specifically FORTRAN-77. An algorithm that uses a greedy approach to object extraction is presented. The imperative code is analyzed at the subroutine level and, using the concepts of graph theory, a set of objects is generated. <<ETX>>
Development of Molecular Markers for Distinguishing Onion (Allium cepa L.) and Welsh Onion (A. fistulosum L.) Based on Polymorphic Mitochondrial Genome Sequences

During seed production of onion (Allium cepa L.) and Welsh onion (A. fistulosum L.) cultivars, seeds are inadvertently cross-contaminated with each other. However, it is difficult to identify cross-contaminated seeds by visual examination since seed and seedling morphologies of onion and Welsh onion are almost identical. To develop molecular markers for distinguishing onion and Welsh onion at early seedling stages, polymorphic mitochondrial genome sequences between two species were isolated. Using complete mitochondrial genome sequences of onions as references, genome walking was performed to isolate polymorphic Welsh onion sequences. Unlike conserved 3’ sequences flanking the atp9 gene, the 5’ flanking sequences were completely different between onion and Welsh onion mitochondrial genomes. A simple PCR marker was developed on the basis of polymorphic 5’ flanking regions of atp9, and a high resolution melting (HRM) marker was developed based on one of single nucleotide polymorphisms (SNPs) in the 3’ flanking regions. A total of 41 onion and 19 Welsh onion cultivars were analyzed using these two molecular markers. Results showed that the onion-specific marker genotype was detected only in onion cultivars, and vice versa. To estimate distribution of onion-specific and Welsh onion-specific organizations of atp9 among Allium species, 14 Allium species related to onion and Welsh onion were analyzed. Results showed that specific organizations were conserved among closely related species of onion and Welsh onion, respectively, implying that there might be no intraspecific variation in the atp9 organizations.
Effects of intra articular steroids, hyaluronic acid and combination of both among patients with knee osteoarthritis

<p class="abstract"><strong>Background:</strong> Osteoarthritis (OA) is a common degenerative disorder of articular cartilage accompanied by hypertrophic changes of the bone. In the management of OA, though use of intra articular (IA) injection of steroids, hyaluronic acid (HA) separately plays an important role, their effects in terms of reducing pain, joint stiffness and movement restriction when it is used in combination remains a question. Hence this study was planned to assess the effects of HA and steroids alone with combination of both Ha and steroids. </p><p class="abstract"><strong>Methods:</strong> Prospective randomized comparative study, among patients with osteoarthritis knee attending the outpatient department of Orthopedics in a tertiary care hospital during January 2017 to May 2018, were included. Patients were randomized in three groups (steroids, HA and combination of both) and a total of 96 patients were included and the outcome was assessed by WOMAC scale. Statistical analysis was done using SPSS Version 20. <strong></strong></p><p class="abstract"><strong>Results:</strong> Pain and movement restriction, at the end of fourth week and pain, joint stiffness and movement restriction, were found to be statistically improved in combined steroids and HA group than the group with steroids alone. Similarly at the end of third month, pain and movement restriction were found to be statistically improved in combined steroids and HA group than HA group alone. </p><p class="abstract"><strong>Conclusions:</strong> This study demonstrates that HA together with corticosteroid provides pain relief, reduction of joint stiffness and helps in improving joint movements within three months after treatment. </p>
Artificial Intelligence and Medicine

The introduction of artificial intelligence (AI) has resulted in numerous technological advancements in the medical profession and a radical transformation of the old medical model. Artificial intelligence in medicine consists mostly of machine learning, deep learning, expert systems, intelligent robotics, the internet of medical things, and other prevalent and new AI technology. The primary applications of AI in the medical industry are intelligent screening, intelligent diagnosis, risk prediction, and supplemental treatment. Presently, medical AI has achieved significant advances, and big data quality management, new technology empowerment innovation, multi-domain knowledge integration, and personalized medical decision-making will exhibit greater growth potential in the clinical arena.
Disaggregated benders decomposition for solving a network maintenance scheduling problem

We consider a problem concerning a network and a set of maintenance requests to be undertaken. The aim is to schedule the maintenance in such a way as to minimise the impact on the total throughput of the network. We embed disaggregated Benders decomposition in a branch-and-cut framework to solve the problem to optimality, as well as explore the strengths and weaknesses of the technique. We prove that our Benders cuts are Pareto-optimal. Solutions to the linear programming relaxation also provide further valid inequalities to reduce total solving time. We implement these techniques on simulated data presented in previous papers and compare our solution technique to previous methods and a direct mixed-integer programming formulation. We prove optimality in many problem instances that have not previously been proven.
VISUALIZING QUANTITATIVE ASPECTS OF COMMUNICATIVE AND COMMERCIAL INTERACTION — MORE POSSIBILITIES WITHIN 2D

A combination of techniques is proposed for visualizing the multidimensional interaction within communication involving many agents. The principal steps are the preparation of data, cluster analysis, smoothly transient shading or partial dimming of the cluster configurations, and, finally, the indication of the major vectors of the matrix underlying the visualization. The techniques do not require 3D simulations / projections but could well be incorporated with these to enhance their visualization power. The method is illustrated with data from spoken interaction and business transactions.
Design of engineering courses as a service: emotions,senses and implementation

Though university education is part of the service economy, there have been limited service-oriented studies on universityengineering courses. Those focused largely on Kano’s basic and performance needs. We used Axiomatic Design to identifytwo broad classes of Kano’s excitement needs for engineering courses: emotional and sensory input. These needs werefound to be common elements in extraordinary engineering classroom experiences. We created prototype FunctionalRequirements (FRs) and Design Parameters (DPs) that a course designer can use to support the insertion of these Kanoexcitement needs into an engineering course. We redesigned a sophomore-level open engineering course at KAIST (KoreaAdvanced Institute of Science and Technology). The new design was implemented and evaluated in a class with 109students. There were statistically significant improvements in the official course evaluation scores and a separatesatisfaction survey. Unusual written communications were received from about 7% of the course students. The resultswere replicated in subsequent semesters. The use of these broad classes of excitement needs appears to meaningfullyincrease student satisfaction in engineering courses. We hope that the design guidance developed can also be used to insertexcitement needs into emerging learning approaches such as inverted classrooms, project based learning and MOOCs.
Remote user-driven exploration of large scale volume data

No rendering pipeline exists to explore very large volume data, for example on the order of terabytes or more. In the extreme case, the data is essentially “stuck” at the site of creation. The consequence is that the utility of the dataset is greatly diminished since only a very small number of users are able to explore the rich information contained within. We address the challenge of how to provide access to such datasets to remote user's equipped with low-cost computational and display technology. Our work proposes a novel end-to-end rendering pipeline that allows for effective data exploration. Our paradigm couples view-dependent and image-based data structures along with novel rendering algorithms that allow for fast spatial and transfer function browsing on the client side. The view-dependent data structure, called a Pixel Ray Image (PRI), holds scalar information on projection rays through the volume. The representations for the scalar data are determined from the requirements of the particular projection equation. We present compact representations that may be stored in texture form for interactive rendering on today's PC graphics hardware. During spatial browsing, when the transfer functions do not change, the Layered Slab Image (LSI) data structure holds pre-computed projections of the data that are then used to quickly compute approximate renderings at nearby view-points. The PRI represents a compression of the volume along a single dimension. Sampling planes placed orthogonal to the sampling direction of the PRI can be computed easily in graphics hardware. Using an approach similar to the shear-warp algorithm, the volume may be rendered directly from this compressed format at views within a 45 degree neighborhood. The volume may be rendered from any view by placing three PRI at orthogonal sampling directions to each other. We present a novel rendering algorithm to render the volume directly from the compressed format on PC graphics hardware.
Cardinal Direction Relations in Qualitative Spatial Reasoning

Representation and reasoning with spatial information is a fundamental aspect of artificial intelligence. Qualitative methods have become prominent in spatial reasoning. In geophysical explorations, one of the aspects is to determine compass direction between the regions. In this paper, we present an efficient approach to cardinal directions between free form regions. The development is very simple, mathematically sound and can be implemented efficiently. The extension to 3D is seamless; it needs no additional formulation for transition from 2D to 3D.It has no adverse impact on the computational efficiency, as the technique is akin to 2D. This work is directly applicable to geographical information systems for location determination, robot navigation, and spatio-temporal networks databases where direction changes frequently.
Linguistic Issues in Language Technology – LiLT

Within the field of literary analysis, there are few branches as confusing as that of genre theory. Literary criticism has failed so far to reach a consensus on what makes a genre a genre. In this paper, we examine the degree to which the character structure of a novel is indicative of the genre it belongs to. With the premise that novels are societies in miniature, we build static and dynamic social networks of characters as a strategy to represent the narrative structure of novels in a quantifiable manner. For each of the novels, we compute a vector of literary-motivated features extracted from their network representation. We perform clustering on the vectors and analyze the resulting clusters in terms of genre and authorship. 1 LiLT Volume 12, Issue 4, October 2015. Clustering of Novels Represented as Social Networks. Copyright c © 2015, CSLI Publications. 2 / LiLT volume 12, issue 4 October 2015 The study of the novel as a genre is distinguished by peculiar difficulties. This is due to the unique nature of the object itself: the novel is the sole genre that continues to develop, that is as yet uncompleted. [. ] The generic skeleton of the novel is still far from having hardened, and we cannot foresee all its plastic possibilities. Mikhail Bakhtin, Epic and Novel: Toward a Methodology for the Study of the Novel, 1941
Investigation of Microstructure and Photocatalytic Performance of a Modified Zeolite Supported Nanocrystal TiO2 Composite

A modified zeolite/TiO2 composite (MZTC) was prepared through a method of saturated infiltration and synthesis in situ. The crystalline phase, micromorphology, elementary composition, specific surface area, pore size distribution, chemical bond and band gap variation of the products were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), BET specific surface area and pore size distribution analysis (BET), Fourier transform infrared spectroscopy (FTIR) and UV–vis diffuse reflectance spectroscopy (UV-vis DRS), respectively. The microscopic characterization results showed that TiO2 was homogeneously dispersed in the structure of zeolite at the nanoscale range, and a strong chemical bond was established between TiO2 and zeolite. The photocatalytic performance of MZTC was evaluated by studying the degradation rate of methylene blue (MB) dye in aqueous solution under UV-light irradiation. The results of the degradation experiment showed that the MB degradation rate of MZTC-2.5 was the highest, reaching 93.6%, which was 2.4 times higher than hydrolysis TiO2 powder (HTOP) containing the same mass of pure TiO2. The MB degradation rate of MZTC-2.5 still maintained 86.5% after five tests, suggesting the excellent recyclability of MZTC-2.5. The possible mechanism of MB degradation was also discussed.
A Multistrategy Approach for Digital Text Categorization

The goal of the research described here is to develop a multistrategy classifier system that can be used for document categorization. The system automatically discovers classification patterns by applying several empirical learning methods to dierent representations for preclassified documents. The learners work in a parallel manner, where each learner carries out its own feature selection based on evolutionary techniques and then obtains a classification model. In classifying documents, the system combines the predictions of the learners by applying evolutionary techniques as well. The system relies on a modular, flexible architecture that makes no assumptions about the design of learners or the number of learners available and guarantees the independence of the thematic domain.
Impact of the glottal signal on the prediction of speech

In this paper, several linear and nonlinear techniques for speech processing based on AR, ARX, ARMAX, WLS and FNN models are proposed. The impact of the glottal wave to modelling is also shown in details. GD, BPA and LM approximations are used for model training and optimization. A comparative experimental analysis of five considered models is done based on the prediction of a speech signal. The results on training and testing are presented through learning and training errors for all models given.
Optimal Uncalibrated RSS Indoor Positioning and Optimal Reference Node Placement Using Cramér-Rao Lower Bound

In this paper we propose a global positioning algorithm of multiple assets based on Received Signal Strength (RSS) measurements that takes into account the gain uncertainties of each hardware transceiver involved in the system, as well as the uncertainties on the Log-Distance Path Loss (LDPL) parameters. Such a statistical model is established and its Maximum Likelihood Estimator (MLE) is given with the analytic expression of the Cramér-Rao Lower Bound (CRLB). Typical values of those uncertainties are given considering whether calibration is done in production, in situ, or if hardware is used uncalibrated, in order to know what is the expected accuracy in function of the calibration setup. Results are tested by numerical simulations and confronted to real measurements in different room configurations, showing that the theoretical bound can be reached by the proposed MLE algorithm.