Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient framework for heart disease classification using feature extraction and feature selection technique in data mining

In the classification of the heart disease data set a high dimensional data set is used in the pre processing stage of data mining process. This raw dataset consist of redundant and inconsistent data thereby increasing the search space and storage of the data. To achieve the classification accuracy we need to remove the redundant and the irrelevant data present. The dimensionality reduction technique is used to compress the high dimensional data to lower dimensional data with some constraints. A framework is integrated for the easy prediction of the heart disease. The framework is created by using the principal component analysis (PCA) to extract the features and mathematical model is computed to select the relevant features using the relevant constraint. This proposed work helps in improving the efficiency, accuracy and speed of the process. This can be applied in the applications such as information retrieval, image processing and pattern matching.
On the Identification of Buffer Trapping for Bias-Dependent Dynamic  $R_{\mathrm{\scriptscriptstyle ON}}$  of AlGaN/GaN Schottky Barrier Diode With AlGaN:C Back Barrier

In this letter, we identified a dominant buffer trapping causing a bias-dependent dynamic RON for AlGaN/GaN Schottky barrier diodes (SBDs) fabricated on a C-doped AlGaN buffer as back-barrier. Current transient measurements at various temperatures were performed simultaneously on an AlGaN/GaN SBD and a transmission line model (TLM) structure based on the AlGaN/GaN heterojunction. During the stress of the TLM structure, the two Ohmic contacts are biased at the same voltage forming an equipotential surface while creating a uniform vertical electrical field to induce buffer trapping. We extracted the same dominant trap level of EC - 0.60 eV from the current transient spectroscopy on both the AlGaN/GaN SBD and the TLM structure after stressing at -100 V, indicating that the increase in the dynamic RON of the diode is due to the electron trapping in the buffer layers. More electron filling of this buffer trap occurs at higher stressing voltages (from -50 to -200 V), which reflects in an enhanced current-transient amplitude at the same time-constant under higher stressing voltages.
Agency problems as antecedents to unrelated mergers and diversification: Amihud and Lev reconsidered

Amihud and Lev (1981) are widely cited as providing evidence that managers, unless closely monitored by large block shareholders, will attempt to reduce their employment risk through unrelated mergers and diversification. These corporate strategies, however, may not be in shareholders' interests. Reconsidering the agency assumptions underlying Amihud and Lev's study and the methodology they used, we develop hypotheses regarding the association between ownership structure, board vigilance, corporate strategy, and corporate performance from management theory and test them using Amihud and Lev's data from the 1960s and new data from the 1980s. Neither study supports the conclusions of Amihud and Lev, nor the agency theory belief that monitoring efforts by principals affect the strategic behaviors of agents or the performance of firms that they manage. © 1998 John Wiley & Sons, Ltd.
NEW APPROACHES FOR ENSURING USER ONLINE PRIVACY

With the increase of requesting personal information online, unauthorized disclosure of user privacy is a significant problem faced by today’s Internet. As a typical identity theft, phishing usually employs fraudulent emails and spoofed web sites to trick unsuspecting users into divulging their private information. Even legitimate web sites may collect private information from unsophisticated users such as children for commercial purposes without their parents’ consent. The Children’s Online Privacy Protection Act (COPPA) of 1998 was enacted in reaction to the widespread collection of information from children and subsequent abuses identified by the Federal Trade Commission (FTC). COPPA is aimed at protecting child’s privacy by requiring parental consent before collecting information from children under thirteen. In this thesis, we propose two solutions for ensuring user online privacy. By analyzing common characteristics of phishing pages, we propose a client-side tool, Trident, which works as a browser plug-in for filtering phishes. The experiment results show that Trident can identify 98-99% online and valid phishing pages, as well as automatically validate legitimate pages. To protect child’s privacy, we introduce the POCKET (parental online consent on kids’ electronic privacy) framework, which is a technically feasible and legally sound solution to enforce COPPA. Parents answer a questionnaire on their privacy requirements and the POCKET user agent generates a privacy preferences file. Meantime, the merchants are required to possess a privacy policy that is authenticated by a trusted third party. Only web sites that possess and adhere to their privacy policies are allowed to collect child’s information; web sites whose policies do not match the client’s preferences are blocked. POCKET framework incorporates a transaction protocol to secure the data exchange between an authenticated client and a POCKET-compliant merchant.
Determining the Customer Lifetime Value based on the Benefit Clustering in the Insurance Industry

Background/Objectives : This research is conducted in order to determine the customer lifetime value based on the benefit clustering in insurance industry. Methods/Statistical analysis : When calculating the customer lifetime value, the inputs are as follows: Learning costs, customer loss rate, discount rate, the cost of maintenance, periodic income, period of time, the difference in the profit and loss (profit margin). Customers of the insurance company have been studied over a period of 4 years. Data for this study were obtained from the database Findings : According to the indicators mentioned above, and customer lifetime value formula by Safari Kahreh presented in 2014, the customer lifetime value was calculated for customers of 10 types of insurance. Then, based on the customer lifetime value calculations, the value of each segment of customers was measured, and the percentage of customer lifetime value (profit) was also measured for 10 different types of insurance. Customers were sorted in descending order based on profit rates, and were classified in four gold, silver, lead and bronze categories. Conclusion/Improvements : Finally, some proposals were presented to the company to improve customer relationship management system.
Applied study of birch pulp bleaching using dimethyldioxirane to obtain acetate-grade pulp

As a pulp bleaching agent, dimethyldioxirane (DMD) is effective and selective. In this study, it was employed as a delignifying agent or as an activating agent for hydrogen peroxide treatment in bleaching acetate-grade pulp. Brightness, kappa number, degree of polymerization (DP), and alpha-cellulose content were evaluated to determine the optimal charges of DMD: 2.5% AO, and 4% HSO5-, respectively. Results from the totally chlorine-free (TCF) sequences MEQMPA, MEpQMPA, and OQMPA suggested that DMD is both effective and selective as a delignifying agent but not as a brightening agent as compared to oxygen. And in a long sequence for the bleaching of dissolving pulp, acid treatment can be used in two approaches: to remove the metal ions without washing before the chelation stage, and to reduce hemicellulose and ash in the final stage.
Venture Capital Investments in Europe and Firm Productivity: Independent versus Corporate Investors

Using a new European Commission-sponsored longitudinal dataset – the VICO dataset – we assess the impact of independent (IVC) and corporate venture capital (CVC) investments on the total factor productivity (TFP) of European high-tech entrepreneurial firms during the period 1992-2010. After controlling for potential sources of endogeneity and selection bias, our results indicate that both IVC and CVC investments boost TFP, whereas investments syndicated by both IVC and CVC investors do not. These effects are mostly due to an increase in sales value. Moreover, the dynamics of the impact of VC investments on TFP and its components – sales value, fixed assets, and payroll expenses – differs depending on the type of investor.
Building Trust: A Solution to Increase User’s Satisfaction on E-Money Adoption

The main impetus of this study is to test empirically the antecedents of users’ satisfaction on e-money adoption. Trust has been considered as a major concern for this study, which then stimulates system quality and user’s participation. This study uses quantitative approach through an online survey of 117 e-money users in Indonesia. The tool of analysis is Structural Equation Modeling (SEM) with Partial Least Square (PLS) software. The result of this study revealed that high level of trust when followed by system quality and participation being a stimulant for higher level of users’ satisfaction.
Investigating Factors Affecting Customers of Using Internet Banking: A Comparison study between Saudi Arabia and the UK

This study examines how internet banking affects the relationships between customers trust and their loyalty and investigates how factors which may affect internet banking usage can be different between Saudi Arabia and the UK. A number of factors are considered in this study such as shared values include security and privacy aspects, communication, customer experiences, usefulness, ease of use and individuals' self-efficacy. These factors are linked to theories such as the trust- commitment theory and the technology acceptance model (TAM). Conceptual framework and various hypotheses related to them are put forward.
The influence of bromelain on platelet count and platelet activity in vitro

Bromelain is a general name for a family of sulfhydryl-containing, proteolytic enzymes from the pineapple plant. The aim of the present study was to investigate the influence of bromelain on platelet count, platelet aggregation and platelet activity in vitro. Blood samples were taken from the antecubital vein of 10 healthy male non-smokers. Platelet count decreased after incubation with 2.5 and 5 mg bromelain/ml from 277 ± 17 platelets/nl before to 256 ± 21 and 247 ± 19 platelets/nl after the treatment. The ADP and TRAP-6 induced platelet aggregation led to a significant decrease after the incubation with 2.5 mg (ADP: 48.6 ± 25.7%; TRAP-6: 49.6 ± 28.9%) or 5 mg (ADP: 5.0 ± 4.6%; TRAP-6: 9.0 ± 4.9%) bromelain/ml in comparison to control (ADP: 81.4 ± 5.0%; TRAP-6: 77.4 ± 10.4%). The percentage of unstimulated CD62P positive platelets which were investigated by flow cytometry was minimally higher after incubation with 5 mg bromelain/ml (0.57 ± 0.48% PC) in comparison to control (0.22 ± 0.11% PC), but after TRAP-6 stimulation the incubation with 5 mg bromelain/ml led to a remarkable decrease in comparison to the untreated control (50.4 ± 20.2 to 0.9 ± 0.8% PC). The changes of CD62P (TRAP-stimulated) and the results of platelet aggregation after incubation with bromelain in vitro may demonstrate the potential of bromelain as a substance for platelet inhibition.
LOAD BALANCING IN PUBLIC CLOUD BY DIVISION OF CLOUD BASED ON THE GEOGRAPHICAL LOCATION

Load balancing is a method of controlling the traffic in a cloud environment. Cloud applications look for resources for execution. The resources can be storage, processing, bandwidth, etc. Allocation of these resources efficiently to all the competing jobs is called as load balancing. In this paper, we describe load balancing in a public cloud by partitioning the cloud into several sub-clouds. This division of public cloud into several sub-clouds is done based on the geographical location. In this approach we use a central controlling system that monitors all the sub clouds. Here, every sub cloud has a balancer system which monitors the resources in its sub cloud and allocates the available resources to the competing jobs. These balancer systems also communicate with the central controlling system about the status of the respective sub cloud. Based on this information the central controlling system selects the optimal sub cloud.
Analog Signal Processing: A Possible Alternative or Complement to Dominantly Digital Radio Schemes

Today's exploding demand for faster, more reliable, and ubiquitous radio systems in communication, instrumentation, radar, and sensors poses unprecedented challenges in microwave and millimeter-wave engineering. Recently, the predominant trend has been to place an increasing emphasis on digital signal processing (DSP). However, while offering device compactness and processing flexibility, DSP suffers fundamental drawbacks, such as high-cost analog-digital conversion, high power consumption, and poor performance at high frequencies.
The Business of the Business Writing Center

The question of how best to serve students in a business writing center leads to a consideration of the rhetorical relationship among students, writing center consult ants, teaching faculty, and employers in the students' professions. Most rhetorical models consider only the writing center as occupying the middle ground between students and teaching faculty. A revision of that model, one in which the writing center and teaching faculty share the middle ground, is more appropriate for a business writing center. Moreover, writing assignments best serve business student writers when students must situate themselves within the discourse community of a post-graduation employer. Instead of fostering an adversarial relationship, business writing centers function most effectively for students when the center complements the classroom faculty.
GPS ambiguity resolution of single epoch data using genetic algorithms

The ambiguities resolved to their correct integer values are very important for the high accuracy of the double-differenced Global Positioning System (GPS) carrier phase observables. Genetic algorithms (GAs) have some advantages of simpleness, parallel and robustness on resolving numerical value optimization problems. So GAs were improved and applied on GPS ambiguity resolution on single epoch Aimed on the integer nature of double difference ambiguities, the coded methods of GAs were improved. And then the corresponding genetic operators and control parameters were modified. The fitness function was established based on non-Linear least-square principle. Through a large number of cases, the tests of the proposed method were practiced and it was verified that the improved GAs was effective.
Development of polymorphic microsatellite loci in Nothapodytes nimmoniana, a medicinally important tree from the Western Ghats, India

Nothapodytes nimmoniana is a medicinally important tree species that occur in the Western Ghats, a megadiversity hotspot in southern India. Inner stem bark of the tree contains an important anti‐cancer alkaloid, camptothecin for which the natural population of the tree is heavily harvested. In this paper, we report the isolation and characterization of eight polymorphic microsatellite loci using enrichment hybridization protocol. Analysis of 36 individuals representing two populations revealed three to 12 alleles per locus. Observed heterozygosity ranged from 0.21 to 0.94 for the two populations. None of the loci tested showed linkage disequilibrium. These markers are invaluable for evaluating the genetic structure and assessing the genetic impacts of harvesting of N. nimmoniana in the Western Ghats to formulate strategies for conservation of the species.
Computing the shortest elementary flux modes in genome-scale metabolic networks

MOTIVATION Elementary flux modes (EFMs) represent a key concept to analyze metabolic networks from a pathway-oriented perspective. In spite of considerable work in this field, the computation of the full set of elementary flux modes in large-scale metabolic networks still constitutes a challenging issue due to its underlying combinatorial complexity. RESULTS In this article, we illustrate that the full set of EFMs can be enumerated in increasing order of number of reactions via integer linear programming. In this light, we present a novel procedure to efficiently determine the K-shortest EFMs in large-scale metabolic networks. Our method was applied to find the K-shortest EFMs that produce lysine in the genome-scale metabolic networks of Escherichia coli and Corynebacterium glutamicum. A detailed analysis of the biological significance of the K-shortest EFMs was conducted, finding that glucose catabolism, ammonium assimilation, lysine anabolism and cofactor balancing were correctly predicted. The work presented here represents an important step forward in the analysis and computation of EFMs for large-scale metabolic networks, where traditional methods fail for networks of even moderate size. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
The Performance Impact of an International Orientation on Product Innovation

This research probed the impact of an international versus domestic new product strategy on new product success. The study used 123 successes and 80 new product failures in 125 industrial firms in Canada. Two international dimensions were hypothesised to be related to new product performance: (1) the degree to which the product was developed for international versus domestic use; and (2) target market selection — domestic versus nearest neighbour versus world market. Successful products were found to be more international in terms of product design and marketing activities and products developed for international markets were more successful on a number of performance measures. Firms that elected an export strategy for their new products (in particular, a strategy aimed at world markets and not only at nearest neighbours) and developed products for international markets did better in foreign as well as domestic markets.
A Study of Discretionary R&D Reporting

A Study of Discretionary R&D Reporting ABSTRACT U.S. generally accepted accounting principles (GAAP) requires firms to expense all costs incurred in their research and development (R&D) activities and to disclose R&D expense in their financial statements when material. U.S. GAAP, however, allows managers substantial discretion in deciding what period costs reported on the income statement are classified as R&D expense. Our study investigates the factors that contribute to and the market consequences of managers' discretionary R&D reporting. We use firm-specific residuals from a R&D expectation model to proxy for firms' discretionary R&D reporting. We predict and find evidence consistent with our conjecture that managers engage in discretionary R&D reporting in order to obtain R&D tax credits. We also find evidence consistent with our conjecture that managers engage in discretionary R&D reporting to justify not meeting earnings expectations. Turning to our market reaction tests, results indicate that the penalty associated with missing analysts' forecasts is mitigated for firms most likely to be engaging in discretionary R&D reporting relative to firms most-likely to be over-investing in R&D and other projects. Our research provides new insights into how managers can report biased financial information and how investors respond to discretionary expense classification. A Study of Discretionary R&D Reporting "the differences [in research and development activities] among enterprises and among industries are so great that a detailed prescription of the activities and related costs includable in research and development, either for all companies or on an industry-by-industry basis, is not a realistic undertaking for the FASB. " (Financial Accounting Standards Board 1974)
Continuous Determination of Beat‐to‐Beat Stroke Volume from Aortic Pressure Pulses in the Dog

Present methods for measurement of stroke volume from die aortic pressure pulse are not suitable for beat-to-beat determinations during non-steady state conditions because these methods assume that each systolic ejection is equal to the peripheral runoff during the same beat We bare tested a new method which allows determination of an aortic pressure-volume conversion factor over a wide range of pressures during transient changes in stroke volume and infusions of vasoactive drugs in 6 dogs with chronically implanted aortic electromagnetic flowmeters. Each aortic diastolic pressure decay is approximated by an exponential the time constant of which is used to calculate the pressure loss during systole due to blood flow into the periphery. The total increment in aortic pressure due to systolic ejection, if there were no flow from the aorta during systole, then is calculated. The total systolic increment (Delta;Psv) is assumed to describe the pressure-volume characteristics during systole and is related to stroke volume by a constant multiplier that is derived from the indicator-dilution measurements of cardiac out put. The values for beat-to-beat variations that were determined by use of the aortic electromagnetic flowmeter and by this aortic pres sure pulse method were found to be within the range of measurement errors of stroke volume determined from individual aortic electro magnetic flow pulses.
Healing of myocardial infarcts in dogs. Effects of late reperfusion.

BACKGROUND Early reperfusion salvages ischemic myocardium and limits myocardial infarct size. However, the effects of late reperfusion, after the possibility for limitation of infarct size has passed, have not been completely elucidated. The purpose of this study was to ascertain the effect of reperfusion after 6 hours of ischemia on the rate of infarct healing and on the size and geometry of the resulting scars, as determined by gross and microscopic quantification. METHODS AND RESULTS Myocardial infarcts were produced in anesthetized, open-chest dogs by occlusion of the circumflex coronary artery. They either were reperfused by removal of the occluding snare or were nonreperfused. The animals were allowed to recover for either 4 days, 2 weeks, or 6 weeks. At these times, infarct size, infarct dimensions (wall thickness and circumferential extent), and the proportion of infarct occupied by necrotic myocardium versus granulation tissue (evolving scar) were measured. At 4 days, infarcts were swollen in both nonreperfused and reperfused groups (increased thickness and circumferential extent of the area at risk). Conversely, at 6 weeks, the size, thickness, and circumferential extent of the scar all were decreased. Two common anatomic complications of human infarction, cardiac rupture and chronic infarct expansion (aneurysm), did not occur in this experimental model. Reperfusion at 6 hours did not affect initial infarct size (4 days) or scar size (6 weeks). At 2 weeks, reperfused infarcts were smaller and were composed of proportionately more granulation tissue and less nonresorbed necrosis than nonreperfused infarcts. CONCLUSIONS Thus, reperfusion accelerated the rate of infarct repair, ie, the replacement of necrotic myocardium by scar. Acceleration of infarct repair may be a beneficial effect of late reperfusion even after the opportunity for limitation of infarct size has passed.
Pareto-improving Asymmetric Information in a Dynamic Insurance Market

This paper explores the dynamics of insurance markets under incomplete information. Various information structures are examined, according to the degree of communication between companies. We get equilibrium existence even when adverse selection arises through differentiated learning. This and the Pareto-dominance of private information structures seem to mitigate the prevalent view that adverse selection and competition do not match well in insurance markets ; moreover, it provides a new scope for empirical studies. Technically, we extend to dynamics Rothschild-Stiglitz equilibrium concept, and get to reconsider the ``no-malus¶ property, which we prove to result from the non-consideration of feed-back effects of future on present.