Miracle-dz/UniFAR-FTUs huggingface dataset:
High level of education builds up strong relationship between organizational culture and organization performance in Pakistan

Organizational culture is an important aspect to be considered by dynamic organizations in order to develop some competitive advantage to ensure enhanced organizational performance. This study aims to elaborate the dimensions of cultural construct in organizations of diversified sectors and their implications in Pakistan. Ten organizations were selected for the study. Four hundred and seventy eight questionnaires were received from these organizations. The questionnaires consisted of three parts, of these, the first part had nine elements that were related to organization and personal profile of the respondents, whereas the second part consisted of 60 elements of cultural construct, namely mission, adaptability, consistency, and involvement. In the third part, dependent variable appears as organization performance and was evaluated by asking eight questions. Results are revealed in two models: according to the first model, organization performance increases from negative 56% to positive 92% due to organizational culture with respect to education. And the second model is also significant at the 95% of confidence level (p < 0.05), and there is a positive relationship between independent and dependent variables. Organizational culture is an essential part of organizational success. Core organizational values typically emphasize special themes such as performance excellence, innovation, social responsibility, worker involvement, and quality of work life. Literacy rate in Pakistan is far below the literacy rate in developed countries. Educated employees play an important role in enhancing organizational performance, particularly in corporate setup. To measure affects of education on organizational performance through its construct involvement, consistency, adaptability, and mission have been endeavored in this study.
A mobile fingerprint authentication in Saudi Arabian call centers

With recent modernization, the establishment of call centers is growing in the KSA (Kingdom of Saudi Arabia). In order to provide a better and secure service to subscribers, there is a constant need to improve and upgrade the call centers security. It is in order to reduce the fraud rates and leakage of sensitive information, reported by customers. In this context, the usage of biometric-based authentication systems (e.g. fingerprints, face recognition, etc.) is exponentially growing in the call centers. This work focus on the design and development of mobile-fingerprint based authentication system for call centers. The devised system reduces frauds and safeguard customers sensitive data. It verifies callers' identity without dealing with the tedious processes of verifying PIN numbers and other methods currently adopted by conventional call centers. Mobile fingerprint devices are employed to verify the authentication of each caller. The call center system will be integrated with the fingerprint scanner feature that already exists in smart phones to authenticate callers before providing any service. The devised system utilizes the smart phonefingerprinting feature, VoIP telephone network and fingerprint based authentication technologies. The security, feasibility and acceptability analysis shows that the proposed system will not only ensure accuracy and information security but will also save significant amount of time respectively at both customer and call center ends.
Proteoglycans Mediate Cationic Liposome-DNA Complex-based Gene Delivery in Vitro and in Vivo *

The factors controlling cationic liposome-DNA complex (CLDC)-based gene transfer in cells and in animals are poorly understood. We found that cell surface heparin/heparan sulfate-bearing proteoglycans mediate CLDC-based gene transfer and expression both in cultured cells and following intravenous gene delivery into animals. CLDC did not transfect Raji cells, which lack proteoglycans, but did efficiently transfect Raji cells stably transfected with the proteoglycan, syndecan-1. Fucoidan, heparin, or dextran sulfate, all of which are highly anionic polysaccharides, each blocked CLDC-mediated transfection both in cultured cells and following intravenous injection into mice, but had no effect on transfection by either recombinant adenovirus infection or electroporation. Intravenous pretreatment of mice with heparinases, which specifically cleave heparan sulfate molecules from cell surface proteoglycans, blocked intravenous, CLDC-mediated transfection in mice, confirming that proteoglycans mediate CLDC gene delivery in vivo. Modulation of proteoglycan expression may prove useful in controlling the efficiency of, as well as targeting the sites of, CLDC-based gene transfer in animals.
Integration of Advanced Explosive Ordnance Disposal Robotic Systems Within a Modular Open Systems Architecture

595 INTRODUCTION During the past decade, unmanned ground vehicle (UGV) systems have been used successfully by military services and are increasingly being used to conduct dangerous and life-threatening tasks for law enforcement as well as first responder and disaster relief efforts around the world. As the application of UGV systems becomes more pervasive, their deployment and life cycle logistics support become major concerns. As UGV missions call for execution of more complex tasks, it becomes necessary to integrate advanced technolohe Advanced Explosive Ordnance Disposal Robotic System (AEODRS) is a Navy-sponsored acquisition program developing a new generation of open, modular explosive ordnance disposal (EOD) robotic systems. The program has developed a common architecture for a family of systems. The foundation of that common architecture is the careful partitioning of EOD robotic systems into capability modules and the definition of intermodule interfaces based on recognized and accepted open standards. This partitioning facilitates module-level interoperability for more rapid technology insertion and removes interface incompatibilities that are barriers to reusing modules among members of the family of systems. In this article, we discuss our experience with the integration and testing of a modular EOD robotic system based on an open systems architecture for the AEODRS family of systems. We describe a phased approach to module and system testing focused first on verif ication of module compliance with interface and performance specifications and subsequently on system performance and operational reliability. Finally, we share lessons learned in standards assessment and open systems architecture specification through the specification, integration, and testing of multiple independently developed capability modules. Integration of Advanced Explosive Ordnance Disposal Robotic Systems Within a Modular Open Systems Architecture
Use of multi-criteria decision analysis for location decision: Developing a risk reaction spectrum

To propose the use of Multi Criteria Decision Analysis (MCDA) as an effective means for location selection, we draw results of findings from case previously carried out on the Strawberry syrup manufacturing plant. Location Decisions are extremely crucial to how a business facility would perform, and whether it would survive, thrive or not. The location affects operations, productivity and even business strategy, and takes into account organizational behavior as well demographics and economics of the location. Location decision making traditionally makes use of either qualitative or quantitative data but not both. The MDCA system tries to make use of both qualitative, quantitative (and more) and helps rank the ten most auspicious locations for the facility. The case in question was a study carried out on the strawberry syrup manufacturing plant of Haque Brothers Industries. They need strawberry syrup to manufacture wafers. They, through this study tried to come up with three perfect locations to set up a factory. Studies were conducted to collect qualitative data as well as quantitative data from the field. Using the MCDA analysis, qualitative and quantitative data are used to form criteria in which to rank each site. The criteria include economic, demographic and physical factors. Using these criteria, the MCDA software IDS is used to come up with ten locations. The study also involved risk analysis, as it considered decisions from leaders with varying risk taking tendencies to form a spectrum. All the data, the weighted criteria is used to come up with a Risk Preference Spectrum for all alternatives. These are used to select the top 3 locations where the facility can be set up. The top three locations were found to meet the criteria in such a way that setting up facilities there would minimize costs and maximize profit via production in any of those locations. These results are then tested again by sensitivity analysis to further verify if the top three locations are indeed ideal, by changing the order of preferences and without letting weights affect the outcome. This would hence add to the credibility and validity of the results. A study of this nature to verify that MCDA can aid an organization in pinpointing locations for its plants and facilities can be monumental to the field of production, operations management and business strategy in Bangladesh. It can be used to revolutionized private as well as public sector.
Verification of the time evolution of cosmological simulations via hypothesis-driven comparative and quantitative visualization

We describe a visualization-assisted process for the verification of cosmological simulation codes. The need for code verification stems from the requirement for very accurate predictions in order to interpret observational data confidently. We compare different simulation algorithms in order to reliably predict differences in simulation results and understand their dependence on input parameter settings. Our verification process consists of the integration of iterative hypothesis-verification with comparative, feature and quantitative visualization. We validate this process by verifying the time evolution results of three different cosmology simulation codes. The purpose of this verification is to study the accuracy of AMR methods versus other N-body simulation methods for cosmological simulations.
Firms' Entry, Imperfect Competition and Regulation

In this paper we try to build a macro model of imperfect competition where the number of firms is endogenous. In particular, the product market works as as a Cournot oligopoly, while in the labour markets the determination of wages is influenced by the presence of unions. Moreover, the number of firms and its equilibrium level are determined through a costly entry process, so that firms enter the market as long as expected profits are enough to cover entry costs. This mechanism allows to determine the equilibrium number of firms and to study its properties. Once we have determined this, we may examine the effects of imperfect competition in both the short and long run and we can evaluate the consequences of (de)regulation policies on both the time horizons.
Familial Dysfibrinogenemia and Thrombophilia

Summary Approximately 250 cases of dysfibrinogenemia have been reported; 55% were asymptomatic (detected by chance), 25% had a tendency to bleeding, and 20% were reported to have a tendency to thrombosis. To establish a possible association between familial dysfibrinogenemia and thrombophilia, data on cases with both affections were collected in a study within the framework of the SSC Subcommittee on Fibrinogen of the International Society on Thrombosis and Haemostasis. Registry forms of 51 cases were received. Twenty-six cases fulfilled the (arbitrarily chosen) criteria of familial dysfibrinogenemia and of thrombosis not due to other causes. Protein C and protein S deficiency and APC resistance as a cause of thrombosis could not be excluded in probands on anticoagulants or investigated before the discovery of the assays. The prevalence of dysfibrinogenemia in patients with a history of venous thrombosis is low, i.e. 0.8%, as deduced from 9 studies in 7 countries on 2376 patients. The 26 cases fulfilling the criteria are characterized by predominantly venous thrombosis at a young age. Severe bleeding was rare and limited to bleeding post partum. Homozygosity was established in 2 cases (Marburg and Naples), hypodysfibrinogenemia (less than 1.5 mg antigen per ml) in 5 cases. A high incidence of problems related to pregnancy, in particular thrombosis post partum and spontaneous abortions was noted amongst the 15 women with thrombophilic dysfibrinogen An association between dysfibrinogenemia and thrombophilia is indicated by studies on relatives of the 26 probands. Analysis of 187 investigated family members showed that thrombophilia affected 20 persons exclusively in the group of 99 relatives with dysfibrinogenemia, no thrombosis was reported in the group of 88 relatives without the defect. Convincing evidence for such an association became apparent for only 5 individual propositi of whom 2 or more family members had both the defect and thrombotic episodes at a young age (Caracas V, Frankfurt IV/Vlissingen, Melun, Naples and Paris V, also named Dusart). Mainly two mechanisms to explain thrombosis as a consequence of malfunctioning fibrinogen have been suggested: a) A defective binding of thrombin to abnormal fibrin which leads to increased thrombin levels (Malmö, Naples, New York I, Pamplona II, Poitiers), b) A defective stimulatory function of abnormal fibrin in the t-PA mediated fibrinolysis (Argenteuil, Chapel Hill III, Date, New York I, Nijmegen, Pamplona II, Paris V). Defects at the molecular level, elucidated in 15 out of the 26 cases fulfilling the criteria, were localised in the C-terminal part of the γ-chain (3 cases), in the N-terminal part of the Bβ-chain (3 cases) and in the Aα-chain (4 cases) of fibrinogen. Why a particular molecular defect leads to malfunction of fibrin(ogen) is still unknown.
Soft Magnetic Co-(TiN) Composite Films Realized within a Wide-Range of Cobalt Content

The effect of Co content on the magnetic properties has been systematically investigated, to obtain high frequency soft magnetic Cox-(TiN)1-x films. The films with Co content more than 73 at. % are perpendicular magnetic, and the films with Co content less than 45 at. % are both soft and super-para magnetic. In a wide-range of Co content (x=45-73 at.%), the Cox-(TiN)1-x nanogranular films show good soft magnetic properties, with coercivity as low as 4 Oe and magnetization around 6-12 kG. The permeability of the films is as high as about 400 and the resonance frequency is around 1 GHz. The films exhibit good thermal stability with the low coercivity of about 5 Oe even after the annealing at 500°C, which is very important in viewpoint of application like a CMOS-compatible fabrication technology.
Riemannian tangent space mapping and elastic net regularization for cost-effective EEG markers of brain atrophy in Alzheimer's disease

The diagnosis of Alzheimer's disease (AD) in routine clinical practice is most commonly based on subjective clinical interpretations. Quantitative electroencephalography (QEEG) measures have been shown to reflect neurodegenerative processes in AD and might qualify as affordable and thereby widely available markers to facilitate the objectivization of AD assessment. Here, we present a novel framework combining Riemannian tangent space mapping and elastic net regression for the development of brain atrophy markers. While most AD QEEG studies are based on small sample sizes and psychological test scores as outcome measures, here we train and test our models using data of one of the largest prospective EEG AD trials ever conducted, including MRI biomarkers of brain atrophy.
Stochastic Dynamic Programming and Control of Queueing Systems

Questions concerning association and possible accompanying causeand-effect relationships are of great interest to practicing statisticians. They are interested in knowing under which circumstances the observed association among variables may be regarded as cause-and-effect relationships. This is a question that the subject matter of design of experiments attempts to address. In this book, the author promises to present “a new mathematical and philosophical foundation for probability and show how this foundation can help understand causality” (p. xv). Thus the book should be of interest to readers of Technometrics, although the author states in his preface that his ideas need to be expanded to deal with practical issues that arise in the design of experiments and observational studies. The book consists of 16 chapters and several well-chosen appendixes in which the relevant classical theories of probability and graph-and-order theories are reviewed. The first 13 of these chapters concern stating the definitions and laying the groundwork for making causal conjectures and inferences. The sheer plethora of definitions and notations contained in the earlier chapters seemed to me to be overwhelming, but, when one tries to advance a new theory from the very beginning as the author purports to do, this may be inevitable to some extent. Chapter 14 has the same heading as that of the book, and the title of Chapter 15, in which the question of giving causal interpretations to observed statistical associations is discussed, is “Causal Models. ” I suspect that the contents of these two chapters are what will interest a practically motivated statistician the most. In Chapter 14, page 301, the author lays out eight maxims for making causal conjectures. I reproduce them as follows:
A monetary approach to the exchange market pressure index under capital control

The conventional Exchange Market Pressure Index (EMPI), originated from Girton and Roper (1977) and popularized by Eichengreen et al. (1994, 1995) and Weymark (1995), uses weighted average of loss of foreign reserves and depreciation of local currency to capture foreign exchange market pressure. However, it does not take into account the effect of capital control on foreign exchange market pressure. With effective capital control, the conventional EMPI tends to under- or overestimate the actual foreign exchange market pressure, depending on the magnitude of capital control. We adopt a monetary approach to derive a formula for new EMPI under capital control. Then we test the difference between the old and the new EMPI with China's data. The result shows that the conventional EMPI overestimates the actual foreign exchange market pressure by 91% in average.
Directed Formation of DNA Nanoarrays through Orthogonal Self-Assembly

We describe the synthesis of terpyridine modified DNA strands which selectively form DNA nanotubes through orthogonal hydrogen bonding and metal complexation interactions. The short DNA strands are designed to self-assemble into long duplexes through a sticky-end approach. Addition of weakly binding metals such as Zn(II) and Ni(II) induces the formation of tubular arrays consisting of DNA bundles which are 50-200 nm wide and 2-50 nm high. TEM shows additional long distance ordering of the terpy-DNA complexes into fibers.
The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide

The Matlab toolbox SciXMiner is designed for the visualization and analysis of time series and features with a special focus to classification problems. It was developed at the Institute of Applied Computer Science of the Karlsruhe Institute of Technology (KIT), a member of the Helmholtz Association of German Research Centres in Germany. The aim was to provide an open platform for the development and improvement of data mining methods and its applications to various medical and technical problems. SciXMiner bases on Matlab (tested for the version 2017a). Many functions do not require additional standard toolboxes but some parts of Signal, Statistics and Wavelet toolboxes are used for special cases. The decision to a Matlab-based solution was made to use the wide mathematical functionality of this package provided by The Mathworks Inc. SciXMiner is controlled by a graphical user interface (GUI) with menu items and control elements like popup lists, checkboxes and edit elements. This makes it easier to work with SciXMiner for inexperienced users. Furthermore, an automatization and batch standardization of analyzes is possible using macros. The standard Matlab style using the command line is also available. SciXMiner is an open source software. The download page is this http URL It is licensed under the conditions of the GNU General Public License (GNU-GPL) of The Free Software Foundation.
A CLLC-compensated high power and large air-gap capacitive power transfer system for electric vehicle charging applications

This paper proposes a CLLC-compensated capacitive power transfer system for electric vehicle charging applications. Four metal plates are utilized to form two capacitors to transfer power through an air-gap distance of 150 mm. The CLLC compensation circuit topology is used on both the primary and secondary sides to resonate with the power transmitting capacitors. The resonance provides high voltage on the plates to increase the system power level. A comparison to the previously proposed LCLC circuit topology is also presented, which shows that the resonance inductance can be reduced. The circuit model of the coupling plates is provided and the capacitance variation with differing misalignments and air-gap distances is also analyzed. A 2.9kW input power CPT system with a CLLC compensation circuit is designed and implemented. The experimental prototype operates at 1MHz, and its dc to dc efficiency is 89.3% at 2.57 kW output power and a 150 mm air gap distance, which validates the effectiveness of the proposed CLLC compensation circuit. In the future, the system will be optimized to increase its efficiency.
Reducing the impact of power supply noise on microprocessor performance

In this paper, we demonstrate that it is possible to design circuits insensitive to power supply noise at frequencies in the range of 200 MHz to 500 MHz. We show that by using proper filter design at the beginning of the clock distribution network we increase the clock to data tracking and mitigate the impact of power supply noise on maximum operating frequency. We prove the theory with measurements using a 130 nm processor as an experimental validation vehicle.
Economic Impacts of National Park Tourism on Gateway Communities: The Case of Kosciuszko National Park

Kosciuszko National Park (KNP) is a major tourist attraction for Australians, featuring the highest mountain on the Australian mainland (Mount Kosciuszko) and including popular ski resorts and wilderness. The region adjoining KNP includes townships with a total population of some 25,000 people, whose economic welfare is increasingly affected by tourism to KNP. This paper reports research that surveyed expenditure by visitors to KNP, which injects new activity into the adjoining regional economy. The paper uses the first round of an input–output process to model the impacts of such expenditure on the region, and also develops a spreadsheet model for allocating visitor expenditure between businesses within the park and businesses within the adjoining regional economy.