Miracle-dz/UniFAR-FTUs huggingface dataset:
Sequential Rule Mining , Methods and Techniques : A Review

In the present era of software technologies the amount of data is increasing with every hour. Knowledge extraction or more accurately data mining from such a large data is a great challenge in itself . Although we have various techniques of knowledge discovery still in the field of data mining, sequential rule mining is considered as one of the most vital technique. There are numerous algorithms yet being discovered for sequential rule mining. our study in the field of data mining focuses on techniques from frequent pattern mining to sequential pattern mining followed by sequential rule mining.
Dynamic Alpha: A Spectral Decomposition of Investment Performance Across Time Horizons

The value added by an active investor is traditionally measured using alpha, tracking error, and the information ratio. However, these measures do not characterize the dynamic component of investor activity, nor do they consider the time horizons over which weights are changed. In this paper, we propose a technique to measure the value of active investment that captures both the static and dynamic contributions of an investment process. This dynamic alpha is based on the decomposition of a portfolio’s expected return into its frequency components using spectral analysis. The result is a static component that measures the portion of a portfolio’s expected return resulting from passive investments and security selection and a dynamic component that captures the manager’s timing ability across a range of time horizons. Our framework can be universally applied to any portfolio and is a useful method for comparing the forecast power of different investment processes. Several analytical and empirical examples are provided to illustrate the practical relevance of this decomposition. This paper was accepted by Gustavo Manso, finance.
A tutorial on model-based modes detection and discernibility for switched affine discrete-time systems

This paper addresses the problem of modes detection for switching discrete-time linear and affine systems. A unified presentation of the model-based methods with the corresponding modes detectors is carried out and a comparative study is conducted. Next, the different notions of discernibility proposed in the literature are presented. Such notions are central since they guarantee the uniqueness of the solution delivered by the modes detectors. A complete step-by-step procedure of modes detection is proposed. The paper includes, whenever necessary, some extensions of the existing results.
Explaining The Suspect Behaviour Of TravelDemand Forecasters

Thirty years ago scholars first presented convincing evidence that local officials use biased travel demand forecasts to justify decisions based on unstated considerations. Since then, a number of researchers have demonstrated convincingly that travel demand forecasts are systematically optimistic–often wildly so–for reasons that cannot be explained solely by the inherent difficulty of predicting the future. Why do modellers generate biased travel demand forecasts and tolerate the misuse of their work? Data from in-depth interviews with twenty-nine travel demand forecasters throughout the United States and Canada suggest new ways for understanding the suspect behaviour of transportation planning professionals. Those most likely to introduce bias and invite misuse of travel forecasts assume that their technical analyses have little, if any, impact on policy making. For many, this leads to disillusionment and requires responses to cope with feelings of marginalization. Others, untroubled by their apparent lack of influence, are complacent and need ways to avoid the ethical questions of practice. Both types of practitioners circumscribe professional roles and rely on the self-deceptive strategies of evasion and excuse making to mute their own disquieting realities that undermine positive concepts of self. The disillusioned wish not to see that they do not matter and the complacent that they do. Bias and misuse seem to be the unintentional by-products of these attitudes.
Title Integrated approaches to prosodic word prediction for ChineseTTS

This paper focuses on integrated prosodic word prediction for Chinese TTS. To avoid the problem of inconsistency between lesical words and prosodic \vords in Chinese, lexical word segmentation and prosodic word prediction are taken as one process instead of two independent tasks. Furthermore, two word-based approaches are proposed to drive this integrated prosodic word prediction: The first one follows the notion of lesicalized hidden Markov models, and the second one is borrowed from unknown word identification for Chinese. The results of our primary experiment 'show these integrated approaches are effective.
On the Co-movements among East Asian Foreign Exchange Markets: A Multivariate FIAPARCH-DCC approach

This study examines the interdependence of six daily East Asian exchange rates: INR (Indonesia), SGD (Singapore), THB (Thailand), KRW (South Korea), PHP (Philippine) and MYR (Malaysia) expressed in US dollar. Focusing on different phases of the global financial and Asian crises, the aim of this paper is to examine how the dynamics of correlations between East Asian exchange markets evolved from January 01, 1995 to September 30, 2015. To this end, we adopt a dynamic conditional correlation (DCC) model into a multivariate Fractionally Integrated Asymmetric Power ARCH (FIAPARCH) framework, which accounts for long memory, power effects, leverage terms and time varying correlations. The empirical findings indicate a general pattern of decrease in exchange rates correlations during the phase of recession and the first phase of the global financial crisis, suggesting the depreciation against US dollar and different vulnerability of the currencies.
Assesment of molecular diversity of internal transcribed spacer region in some lines and landrace of Persian clover (Trifolium resupinatum L.)

Clover which is an herbaceous, annual, and self-pollinated plant belongs to fabaceae family (legumes) and has become naturalized in Iran, Asia Minor and the Mediterranean eastern suburban countries. The aim of the present study is ITS molecular evaluation of the nuclear ribosomal genes of lines and landraces of Persian Clover. The sequences were aligned using ClustalW method and by MegAlign software and the dendrogram of different phylogenetic and matrix relationships between the sequences were drawn. The results showed little genetic diversity between the lines and the landrace. The conserved sequence of the analyzed gene in the Persian clover is 561 base. Totally, 740 loci (69 and 671 loci, respectively, with and without removal and addition), 9 Singletons, and 5 haplotypes were identified. The highest rate of transfer was observed in pyrimidine (%16.3). The numerical value of the ratio (dN/dS) was 0.86, and since it was less than 1, the pure selection on the studied gene happened. The lines and landraces were not separated based on their geographic locations. In general, the results indicated that the highest rate of the regional diversity belonged to the clover plants in Lorestan region. Moreover, ITS markers did not seem suitable enough for evaluating the intra- species genetic variation, but it was quite well- suited for inter-species or intergeneric evaluation. Normal 0 false false false EN-GB X-NONE AR-SA
An Indoor Pedestrian Localization Algorithm Based on Multi-Sensor Information Fusion

For existing indoor localization algorithm has low accuracy, high cost in deployment and maintenance, lack of robustness, and low sensor utilization, this paper proposes a particle filter algorithm based on multi-sensor fusion. The pedestrian’s localization in indoor environment is described as dynamic system state estimation problem. The algorithm combines the smart mobile terminal with indoor localization, and filters the result of localization with the particle filter. In this paper, a dynamic interval particle filter algorithm based on pedestrian dead reckoning (PDR) information and RSSI localization information have been used to improve the filtering precision and the stability. Moreover, the localization results will be uploaded to the server in time, and the location fingerprint database will be built incrementally, which can adapt the dynamic changes of the indoor environment. Experimental results show that the algorithm based on multi-sensor improves the localization accuracy and robustness compared with the location algorithm based on Wi-Fi.
A Nanomesoporous Catalyst from Modified Red Mud and Its Application for Methane Decomposition to Hydrogen Production

A type of nanomesoporous modified red mud MRM catalyst was prepared and utilized for catalytic methane decomposition CMD to produce hydrogen. The modification process significantly simplified the mineral composition of the red mud RM; in the meantime, the physical and chemical structure of RM was changed. TEM images suggested that MRM was a kind of nanomesoporous material assembled by a number of uniformly nanoscale particles, BET results showed that the pore size distributions of MRM were ranged from 3 to 12 nm, and the specific surface area and total pore volumes of red mud improved from 8.00 m2/g and 0.08 cm3/g to 190.61 m2/g and 0.39 cm3/g, respectively. The catalytic performance of the catalysts has been tested at 800°C; the results showed that MRM exhibited much higher activity and stability than RM for CMD.
Oscillations of confined fibres transported in microchannels

We investigate the trajectories of rigid fibres as they are transported in a pressure-driven flow, at low Reynolds number, in shallow Hele-Shaw cells. The transverse confinement and the resulting viscous friction on these elongated objects, as well as the lateral confinement (i.e. the presence of lateral walls), lead to complex fibre trajectories that we characterize with a combination of microfluidic experiments and simulations using modified Brinkman equations. We show that the transported fibre behaves as an oscillator for which we obtain and analyse a complete state diagram.
Complementary Filter Design Based Error Allocation for Attitude Estimation with Low-Cost Sensor

This paper investigates complementary filter designed for attitude estimation for low-cost inertial measurement unit and magnetometer. An error allocation strategy which focuses on two weight parameter matrices regulated according to output modulus of accelerometer and magnetometer automatically, is proposed. The strategy of error allocation fuses gravity reference error angle comes from accelerometer and geomagnetic reference error angle comes from magnetometer to get the reference angle error which is used to correct the angular velocity drift of gyroscope after passed proportion and integral estimator (PI estimator). Attitude is obtained with quaternion solution. Experimental results show that this error allocation strategy can get reference angle error when output modulus of accelerometer is under the acceleration threshold or the changing horizontal magnetic component is below the changing threshold. Keywords-attitude estimation; error allocation; complementary filter
PARAMETER, FUNCTIONAL FORM, AND BAYES VERSUS EMPIRICAL BAYES

Statistical relationships between traffic crash and traffic flows at roadway intersections have been extensively modeled and evaluated in recent years. This paper challenges the underlying assumptions adopted in the popular traffic crash estimation models for intersections. More specifically, we first challenge the assumption that the dispersion parameter is a fixed parameter across sites and time period. Second, we examine mathematical limitations of some functional forms used by these models, particularly their properties at the boundaries. We also demonstrate that, for a given data set, a large number of plausible functional forms with almost the same overall statistical quality are possible, and discuss an alternative class of logical formulations that may enable a richer interpretation of the data. A comparison of site estimates from the Empirical Bayes and full-Bayes methods is also presented. All discussion and demonstrations are motivated with an urban 4-legged signalized intersection data set collected in Toronto, Canada, for years 1990 to 1995. Finally, we advise the analysts to be mindful of the underlying assumptions adopted in the popular models, especially the assumption that dispersion parameter is a fixed parameter and limitations of the functional forms used. We conclude the paper by discussing several promising directions in which this study may be extended.
Statement on a conceptual framework for bovine tuberculosis

Control and eradication of bovine tuberculosis (bTB) is a challenge owing to the complex interactions between the pathogen, hosts and local environments. Modelling various bTB situations may lead to improved understanding of the ways in which different factor combinations and interactions influence occurrence, surveillance outcomes and control efforts. A conceptual framework would help to outline, from an epidemiological perspective, which factors influence bTB infection, detection and control, and how they might interact in various European situations. The conceptual framework on bTB described in this statement is built around an anchor model describing the interactions between the most important biological and non-biological parameters involved in bTB infection, detection and control. The interactions are examined at three levels, corresponding to three ‘units of interest’, in the case of bTB the animal, the herd and the area levels. The conceptual framework is intended to help understand the inputs that should be considered when developing a specific component of the episystem (i.e. the ecological context of the epidemiological problem). It should be able to help both in the generation and interpretation of predictive and analytical models (dealing with a specific component of the framework) designed to answer specific questions regarding bTB. The relationship between the conceptual framework and particular examples related to the force of infection, the non-biological context and testing of bTB are explained and discussed in the document. © European Food Safety Authority, 2014
Two fatty acid ∆ 9-desaturase genes , ole 1 and ole 2 , from Mortierella alpina complement the yeast ole 1 mutation

3 Horticulture Research International, Wellesbourne, Warwick CV35 9EF, UK Genes encoding two distinct fatty acid ∆9-desaturases were isolated from strains of the oleaginous fungus Mortierella alpina. Two genomic sequences, ∆9-1 and ∆9-2, each containing a single intron, were cloned from strain CBS 528.72 while one cDNA clone, LM9, was isolated from strain CBS 210.32. The ∆9-1 gene encoded a protein of 445 aa which shared 99% identity with the LM9 gene product. These proteins also showed 40–60% identity to the ∆9desaturases (Ole1p) of other fungi and contained the three conserved histidine boxes, C-terminal cytochrome b5 fusion and transmembrane domains characteristic of endoplasmic reticulum membrane-bound ∆9-desaturases. LM9 and ∆9-1 are therefore considered to represent the same gene (ole1). The ole1 gene was transcriptionally active in all M. alpina strains tested and its function was confirmed by complementation of the Saccharomyces cerevisiae ole1 mutation. Fatty acid analysis of yeast transformants expressing the CBS 210.32 ole1 gene showed an elevated level of oleic acid (18:1) compared to palmitoleic acid (16:1), the major fatty acid component of wild-type S. cerevisiae. This indicated that the M. alpina ∆9-desaturase had a substrate preference for stearic acid (18:0) rather than palmitic acid (16:0). Genomic clone ∆9-2 (ole2) also encoded a protein of 445 aa which had 86% identity to the ∆9-1 and LM9 proteins and whose ORF also complemented the yeast ole1 mutation. The transcript from this gene could only be detected in one of the six M. alpina strains tested, suggesting that its expression may be strainspecific or induced under certain physiological conditions.
Graph Data Transformations in Gradoop

The analysis of graph data using graph database and distributed graph processing systems has gained significant interest. However, relatively little effort has been devoted to preparing the graph data for analysis, in particular to transform and integrate data from different sources. To support such ETL processes for graph data we investigate transformation operations for property graphs managed by the distributed platform Gradoop. We also provide initial results of a runtime evaluation of the proposed graph data transformations.
Open-Circuit Fault-Tolerant Characteristics of a New Four-Phase Doubly Salient Electro-Magnetic Generator

In order to improve the reliability of a more sustainable mobility generator, a four-phase Doubly Salient Electro-Magnetic Generator (DSEG) and its phase-isolated rectifier are proposed in this paper. The mathematical model of the machine and fault-tolerant rectifiers is proposed, which indicates that the four-phase fault-tolerant DSEG should have symmetric phases. With the asymmetry analysis of the traditional 8/6-pole DSEG, a new 12/9-pole DSEG with symmetric phases is proposed. The four-phase full bridge rectifier, positive half-wave rectifier and four-phase H bridge rectifier are presented. The voltage waveforms, no-load characteristics and loading characteristics with different rectifiers will be given based on the simulation and the experiment on a prototype of DSEG, and the results show that the four-phase H bridge rectifier has the best fault tolerant no-load characteristic and external characteristic, except that it needs more diodes.
CULTURE AND OTHER FACTORS AFFECTING FIRM PROFITABILITY IN PAKISTAN

Some of the factors which may affect firm profitability include organizational culture, investment in information technology, firm size, barriers to entry, and the financial leverage of the firm. This paper contributes to the understanding of firm profitability by examining the determinants of firm profitability in Pakistan over the period 2003-2007. A sample of 19 organizations in Pakistan was selected for an indepth analysis. The data were collected through multiple visits to the selected sites, direct observation, questionnaires, and structured interviews with the senior and middle level business executives. A total of 95 middle and senior level managers were requested to fill out questionnaires covering different dimensions of culture mentioned in the Organizational Culture Inventory. Additionally, in order to get an insight into the deep rooted basic assumptions, detailed interviews were conducted with 80 middle and senior level managers. The data regarding investment in IT, firm size, ratio of fixed asset to total assets, and capital-asset ratio were derived from the firms’ annual reports for the period 2003-2007. The regression results show that culture, investment in information technology, firm size, capital intensity and financial leverage have significant impact on firm profitability.
Finance Planning In The University Using Information Methodology qArisq

to organize an effective system of financial planning of autonomous educational institution of higher education it is required to use special planning and control procedures which are drawn up using the author's techniques. These procedures allow to optimize the process of financial planning and the process of control of the implementation of the university budget at all levels of consolidation. Designed for this purpose model of decision-making system, according to the methodology of the design of integrated information systems, is aimed at improving the financial planning process, by means of accumulation of information that contains information only about the correct management decisions. Keywords— effective system of university finance planning, methodology for information system design, models of organization of financial flows, information flows planning process, centers of financial income and expenses, centers of financial activity.
ANN forecast of hourly averaged AE index based on L1 IMF and plasma measurements

The AE index has two components: one driven by the solar wind and one related to the magnetotail unloading process. We recall some past findings on this issue and present a new ANN algorithm for the AE forecasting at 5 and 60 min time scales, built by adding to a previous algorithm a further layer with a hyperbolic tangent transfer function and two more inputs, the output at time t and the difference between the input at time t and the output at time t - 1. We show that, at the 60 min time scale and for AE > 400 nT, the new algorithm performs better than the former one, while no improvement is obtained at the 5 min time scale. This result confirms that the AE component driven by the solar wind can be forecast, at least partially, while the unloading component may not be reproduced from solar wind inputs.
Combination of Anterior and Posterior Subcutaneous Internal Fixation for Unstable Pelvic Ring Injuries: The Hula Hoop Technique

http://www.jtraumainj. org eISSN 2287-1683 pISSN 1738-8767 Copyright © 2019 The Korean Society of Trauma This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Combination of anterior and Posterior Subcutaneous Internal fixation for unstable Pelvic ring Injuries: The “Hula Hoop Technique”
Forging Effective Strategies to Combat Iron Deficiency Experiences and Challenges in Industrialized Countries : Control of Iron Deficiency in Industrialized Countries 1 , 2 , 3

This paper provides a synopsis of the experience in combating iron deficiency in industrialized countries and identifies the reasons for the considerable success and future challenges. Significant progress has been made over the last century in reducing and even eliminating iron deficiency in many industrialized countries. Current estimates are that the prevalence of iron deficiency has declined to 20% in many of these countries, even among women and young children, compared with 30 to 70% in many developing countries. The reasons for this success cannot be attributed solely to a single approach but rather to a range of factors that have occurred over time as a result of both economic development and the implementation of specific policies. Several factors have contributed to improving both iron intakes and reducing iron losses; these include fortification, supplementation, dietary diversification and public health measures. For example, the decline in anemia in infants can be attributed to the introduction of iron-fortified formula and complementary foods in the 1960s to 1970s. Similarly, the enrichment and fortification of cereals with iron that began during World War II in North America and Europe is a result of effective public-private partnerships. Despite these successes, iron deficiency remains a public health concern in industrialized countries for selected subgroups such as women of reproductive age with excess menstrual losses and pregnant women who cannot meet increased requirements from the diet alone. Constant vigilance and innovative approaches for screening and combating this problem are thus still required even in developed countries. J. Nutr. 132: 820S–824S, 2002.