Miracle-dz/UniFAR-FTUs huggingface dataset:
Competing Value Framework and Public Administration: Managerial Insights, Theoretical Reflections and Practical Implications from Italy

Competing Value Framework (CVF) is a framework used to assess organizational culture in public administration and it is widely used in health services research to assess organizational culture as a predictor of quality improvement, employee and patient satisfaction, and team functioning. At present the CVF framework has never been tested in contexts where reforming action is vague and is characterized by changes and continuous reflections on the changes introduced. The present study try to fill this gap analysing how CVF works in a context characterized by continued uneven homogeneous reforms. The paper has theoretical and practical implication depicting also suggestions for politicians.
Time Varying Equilibrium Real Rates and Monetary Policy Analysis

Although it is generally recognized that the equilibrium real interest rate (ERR) varies over time, most recent work on policy analysis has been carried out under the assumption that this rate is constant. We show how this assumption can affect inferences about the conduct of policy in two different areas. First, if the ERR moves in the same direction as the trend growth rate (as is suggested by theory), the probability that an unperceived change in trend growth will lead to a substantial change in inflation is noticeably lower than is suggested by recent analyses (of inflation in the 1970s, for example) that assume a constant ERR. Second, if the monetary authority targets a time varying ERR but the econometrician assumes otherwise, estimated policy rules will tend to exaggerate the degree of interest rate smoothing as well as the weight that the monetary authority places upon inflation.
A Model Performance to Information Security Management

The investigation in this paper takes a social and organizational approach to information systems security management and proposes a framework which illustrates three important issues in the process of security management through goal setting, these are: trust, culture, and risk communication. Three case studies show evidence that there is a chain reaction among these issues with a subsequent effect on the level of security goal setting. Ultimately, the paper identifies the determinants of trust within the IT departments of three financial institutions in Greece and provides also a discussion regarding the research methods that were used to obtain the results.
Differential Analysis of Various Industries on The Basis of Capital and Asset Structure: An Indian Study

The starting point for this paper is a belief that industry dependence should affect the capital structure of a company. The purpose of this report is to examine the capital structure across different industries for companies quoted on a stock exchange and headquartered in India. The paper demonstrates significant difference in the capital structure depending on the industry where the company operates. The debt ratio sensitivities to the explanatory variables differ significantly between the five industries studied. Almost every significant coefficient obtained in the regressions is in accordance with capital structure theory and other studies. Debt ratio is negatively related to profitability, and age, while asset structure, growth, and company size are positively related. The separate regressions on each industry show that the industries studied are influenced differently. Despite some variation the regression model performed well for the industries, with the R 2 ranging from 0.191 to 0.884, signifying that using the same model on every industry may not be fair in the sense that the debt ratio could be governed by different factors for different industries. Keywords: Capital Structure; Static Trade-off; Pecking Order; Industry Effects; Listed Companies.
Engineering Design in Integrated Product Development MECHATRONIC APPROACH TO THE MACHINE TOOL DESIGN

In the paper we consider the possibilities of complex approach to the design of machine tools in the light of the newest means which the designer can use on the earlier stages of the design procedure. Same of components is delivered with the controllers in the form of the microprocessors. In that case it is useful to change nominal software to adjust the control law to our purposes. So more we can add additional control loops to improve dynamics of the machine
Energy and Environmental Implications of Graduating Nepal from Least Developed to Developing Country

Energy is a vital input for social and economic development of any nation. With increasing agricultural and industrial activities in the country, the demand for energy is also increasing. Formulation of an energy system planning model will help in the proper allocation of widely available indigenous energy resources such as solar, wind, bioenergy and hydropower and imported fossils fuels in meeting the future energy demand. As Nepal is a least developed country and aims to graduate to developing country by 2022 proper energy planning is essential for the sustainable development. This research is done to give the overview of primary energy mix, expected future energy demand in different scenario and its impact on graduation of Nepal. In reference scenario the future energy consumption of Nepal is expected to increases from 420 PJ in the base year 2013 to 566 PJ in 2022 and is expected to increases to 630 PJ in vision scenario. To graduate the Nepal from Least Developed Country category by 2022 the estimated per capita energy consumption must be 20.5 GJ and the per capita commercial energy consumption must be 6.5 GJ. In addition per capita electricity consumption must be 225 kWh at the end year. If Nepal moves through a different economic growth rate of 7%, 5.5% and 4 %, country will graduate from LDC category by 2023, 2026 and after 2030 respectively. Similarly in the base year 2013, green house gas (GHG) emission is 12 million metric tons of CO2 equivalents. In the reference scenario the GHG is estimated to increase to 20 million metric tons of CO2 equivalents and in vision scenario the value is estimated to increase to 27 million metric tons of CO2 equivalents in 2022.
Shared random-effect models for the joint analysis of longitudinal and time-to-event data: application to the prediction of prostate cancer recurrence

In the last decade, joint modeling research has expanded very rapidly in biostatistics and medical research. This type of models enables the simultaneous study of a longitudinal marker and a correlated time-to-event. Among them, the shared random-effect models that define a mixed model for the longitudinal marker and a survival model for the time-to-event including characteristics of the mixed model as covariates received the main interest. Indeed, they extend naturally the survival model with time-dependent covariates and offer a flexible framework to explore the link between a longitudinal biomarker and a risk of event. The objective of this paper is to briefly review the shared random-effect model methodology and detail its implementation and evaluation through a real example from the study of prostate cancer progression after a radiation therapy. In particular, different specifications of the dependency between the longitudinal biomarker, the prostate-specific antigen (PSA), and the risk of clinical recurrence are investigated to better understand the link between the PSA dynamics and the risk of clinical recurrence. These different joint models are compared in terms of goodness-of-fit and adequation to the joint model assumptions but also in terms of predictive accuracy using the expected prognostic cross-entropy. Indeed, in addition to better understand the link between the PSA dynamics and the risk of clinical recurrence, the perspective in prostate cancer studies is to provide dynamic prognostic tools of clinical recurrence based on the biomarker history.
Momentum dependence of the superconducting gap in Ba_{1-x}K_{x}Fe_{2}As_{2}

D. V. Evtushinsky,1 D. S. Inosov,1,2 V. B. Zabolotnyy,1 A. Koitzsch,1 M. Knupfer,1 B. Buchner,1 M. S. Viazovska,3 G. L. Sun,2 V. Hinkov,2 A. V. Boris,2,4 C. T. Lin,2 B. Keimer,2 A. Varykhalov,5 A. A. Kordyuk,1,6 and S. V. Borisenko1 1Institute for Solid State Research, IFW Dresden, P.O. Box 270116, D-01171 Dresden, Germany 2Max-Planck-Institute for Solid State Research, Heisenbergstrasse 1, D-70569 Stuttgart, Germany 3Max-Planck-Institute for Mathematics, Vivatsgasse 7, 53111 Bonn, Germany 4Department of Physics, Loughborough University, Loughborough, LE11 3TU. United Kingdom 5BESSY GmbH, Albert-Einstein-Strasse 15, 12489 Berlin, Germany 6Institute of Metal Physics, National Academy of Sciences of Ukraine, 03142 Kyiv, Ukraine Received 24 September 2008; revised manuscript received 30 December 2008; published 17 February 2009
Assessment of changes in the microorganism community in a biofilter

Community level physiological profiling (CLPP) with BIOLOG ECO-plates was used to assess the changes in functional diversity of the microbial community in a compost biofilter over time. The biofilter was treating a humidified airstream contaminated with hexane and later with ethanol. The results are consistent with spatial and temporal variation in the community when analysed using principal component (PC) analysis. BIOLOG ECO-plates provide a simple and rapid way of assessing changes in community structure of biofiltration systems. Here, the technique is demonstrated and possibilities for its application in biofilter analysis and monitoring are explored. © 2003 Elsevier B.V. All rights reserved.
Performance of a geostationary mission, geoCARB, to measure CO 2 , CH 4 and CO column-averaged concentrations

Abstract. GeoCARB is a proposed instrument to measure column averaged concentrations of CO2, CH4 and CO from geostationary orbit using reflected sunlight in near-infrared absorption bands of the gases. The scanning options, spectral channels and noise characteristics of geoCARB and two descope options are described. The accuracy of concentrations from geoCARB data is investigated using end-to-end retrievals; spectra at the top of the atmosphere in the geoCARB bands are simulated with realistic trace gas profiles, meteorology, aerosol, cloud and surface properties, and then the concentrations of CO2, CH4 and CO are estimated from the spectra after addition of noise characteristic of geoCARB. The sensitivity of the algorithm to aerosol, the prior distributions assumed for the gases and the meteorology are investigated. The contiguous spatial sampling and fine temporal resolution of geoCARB open the possibility of monitoring localised sources such as power plants. Simulations of emissions from a power plant with a Gaussian plume are conducted to assess the accuracy with which the emission strength may be recovered from geoCARB spectra. Scenarios for "clean" and "dirty" power plants are examined. It is found that a reliable estimate of the emission rate is possible, especially for power plants that have particulate filters, by averaging emission rates estimated from multiple snapshots of the CO2 field surrounding the plant. The result holds even in the presence of partial cloud cover.
Earnings Quality during SFAS-to-IFRS Conversion in Taiwan

Since IFRS emphasizes management judgment and fair value measures, the issues of faithful representation and relevance of earnings information have become major concerns. This study aims to examine whether or not faithful representation and the relevance of earnings information have improved among Taiwanese publicly traded companies in the context of the SFAS-IFRS changeover. Faithful representation of earnings information was assessed via accruals quality, while relevance was examined by testing both the predictive and confirmatory values of earnings. This study used Ohlson's residual income model to examine the confirmatory value of earnings. Unlike prior research using one-period earnings data, this study considered earnings persistence and modified the model by including earnings data for two consecutive periods to examine the predictive value of earnings. The results indicate no significant improvement in faithful representation quality, but significant improvements in both the predictive and confirmatory values of earnings information. Notably, after modifying a model used in previous research to test predictive value, the current work found that fair value oriented-IFRSs do not impair the predictive value of earnings information.
Fibroelastic Components of the Vesicourethral Junction of Rats in the Aging Process

La union vesico-uretral, componente del trigono vesical, posee una relevante importancia en la fijacion y posicionamiento de la vejiga urinaria conjuntamente con el cuello vesical, fijado por los ligamentos laterales de la vejiga y arco tendinoso de la fascia de la pelvis. Principalmente, sus componentes anteriores son: el ligamento puboprostatico en los hombres y el ligamento pubovesical en las mujeres. Las fibras elasticas dispuestas circularmente en esta union, son de valiosa importancia en la elasticidad y plasticidad de la region, permitiendo expansion y retiro rapido con el flujo de la orina, y asociado a musculatura lisa y control nervioso forman un conjunto importante para el mantenimiento de la continencia urinaria. Debido a existencia de puntos no esclarecidos en esta region en relacion al sistema elastico y su participacion en los estados de continencia/incontinencia urinaria, el presente trabajo tiene por objetivo el estudio de la union vesico-uretral evaluandola en diferentes grupos etarios, a traves de la microscopia electronica de transmision. Fueron utilizados 12 ratones Wistar, divididos en grupo de neonatos (4 animales), grupo adulto (4 animales) y grupo de ratones viejos (4 animales). La microscopia electronica de transmision, con uso de la tecnica del acido tanico asociado al fijador glutaraldeido, mostro satisfactoriamente las diferencias ultraestructurales entre las fibras elasticas maduras, elauninicas y oxitalanicas, presentes entre los espacios intercelulares de las celulas musculares y haces de fibras colagenas, y tambien fases de elastogenesis en animales neonatos y envejecimiento y degradacion del sistema elastico en los animales mayores.
An Evaluation of the Accuracy of Kernel Density Estimators for Home Range Analysis

Kernel density estimators are becoming more widely used, particularly as home range estimators. Despite extensive interest in their theoretical properties, little empirical research has been done to investigate their performance as home range estimators. We used computer simulations to compare the area and shape of kernel density estimates to the true area and shape of multimodal two—dimensional distributions. The fixed kernel gave area estimates with very little bias when least squares cross validation was used to select the smoothing parameter. The cross—validated fixed kernel also gave surface estimates with the lowest error. The adaptive kernel overestimated the area of the distribution and had higher error associated with its surface estimate. See full-text article at JSTOR
Commissioning of two new insertion devices at ELETTRA

Two new insertion devices have recently been installed in the ELETTRA storage ring: a 3.5 Tesla superconducting multipole wiggler and a Figure-8 permanent magnet undulator. The first is the radiation source for a future X-ray diffraction beamline, while the second is designed to generate photons in the 5-11 eV range for inelastic UV scattering experiments. The impact of these devices on the electron beam dynamics was already studied at the design stage. In this paper initial commissioning results are presented and discussed, including the measured effects on the closed orbit and tune.
State-Local Revenue Diversification, Stability, and Growth: Time Series Evidence

A common argument put forth in tax reform discussions is that a balanced revenue system is better equipped to handle downturns. The purpose of this paper is to consider the empirical relationship between a scalar measure of the diversity of a state's state-local revenue system and the stability and growth of that revenue system. This evidence is drawn from panel data vector autoregression models. Impulse response analysis from these PVARs indicates that movements toward greater revenue system balance lead to greater revenue growth stability as well as faster rates of revenue growth itself.
TOWARDS THE ULTIMATE STORAGE RING-BASED LIGHT SOURCE

Present third generation synchrotron light sources reach brilliances in the 10 20 phot/s/0.1%BW/mm 2 /mrad 2 . Even if the trend in brilliance increase achieved over the last thirty years is over, a brilliance enhancement by two orders of magnitude can still be envisaged for an X-ray storage ring-based light source. The ESRF approach to a future machine delivering photons in the 0.5 ‐ 500 keV range is presented in this paper. In particular, the choice of the energy, the comparison of circumference increase versus the use of damping wigglers to reach horizontal emittances in the low 10 -10 m.rad range, the possible lattices and the challenges made to the RF system by a very high stored current are reviewed. 1 MOTIVATION AND OBJECTIVES The construction and successful operation of the third generation synchrotron light sources has resulted in a significant improvement in the characteristics of the Xray beams delivered to the Users. Now that these facilities are mature, it is legitimate to try to evaluate what the ultimate performances one can expect from a storage ring-based synchrotron radiation source are. The evaluation of their present performances and some expectations on their possible evolutions have already been reviewed on different occasions and in particular by A Wrulich [1] and in a recent edition of Synchrotron Radiation News, with H Winick as guest editor [2].
Do Financial Constraints Moderate the Impact of Financing Decisions From Internal-financing Sources on Investment?

To prevent investment growth from 2013 to 2015 from decreasing, the Industrial Ministry provided fiscal incentives to stimulate investment-growth. Nevertheless, the investment growth of manufacturing firms still declined. This condition indicated that fiscal stimulus might be ineffective to prevent investment-growth from declining. The decline of investment might be influenced by the increase of firm financial constraints to access a source of long term debts. This study aimed to examine the influence of financial constraints in moderating the effect of financing decisions from internal financing sources on investment. The population of the study was all listed-manufacturing firms in Indonesia from 2013 to 2015. Samples were chosen based on the availability of firms’ financial report covering the period of the study. The study concluded that financial constraints significantly weaken the effect of internal funding decision on investment. Unconstrained firms had a higher beta than constrained firms. Although unconstrained firms had an opportunity to choose their source of funding, they preferred to finance their investment from cash flows because the cost of debts might be much higher than the cost of equity. Hence, to help firms to finance their feasible investment opportunity, the government should not only provide tax incentives but also provide a low-interest loan. DOI: https://doi.org/10.26905/jkdp.v21i3. 1357
Insecticidal effect of Ammi visnaga L. (Apiaceae: Apial) methanolic extract against a citrus pest, Toxoptera aurantii (Aphididae: Homoptera) under controlled conditions

Ammi visnaga L. (Apiaceae) is an endemic Algerian aromatic plant, largely used in traditional medicine, and mostly for renal problems with a very few reported studies on its insecticidal activity. Current work is a contribution to the insecticidal effect of methanolic extract of aerial parts of Ammi visnaga collected at various stages of growth against Toxoptera aurantii. Eight different extract of six different doses were tested which showed a proportional relation between mortality and the applied doses. The maximum of mortality (98.33%) was obtained for the highest dose (30000 ng/aphids) after 24h for steams extract collected before flowering. Cumulative mortality of the treated aphids occurred in the second day with a rate of 100%. The LD50 value determined using the linear regression was 310.53 ng/ aphids < [D5-D6] for the said dose.
Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation

The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels’ locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.
Molecular detection of citrus yellow mosaic virus (CYMV) and citrus greening bacterium (CGB) in sweet orange by multiplex polymerase chain reaction

Citrus is one of the most economically important fruit crop in India. Commercially grown citrus includes sweet orange, acid lime and mandarin. Citrus Yellow Mosaic (CYMV), a viral disease and citrus greening bacterium (CGB), a bacterial disease are the two most important diseases that are impending fruit production through the world. A method of multiplex polymerase chain reaction (PCR) was developed for the simultaneous detection of Citrus yellow mosaic virus (CYMV) and citrus greening bacterium, Candidatus Liberibacter asiaticus (CLa) from sweet orange trees. Initially total DNA from individual CLa and CMBV infected citrus plants were mixed infected field sample for both pathogens were detected by Multiplex PCR. Using multiplex PCR two different fragments of 1024 bp and 451 bp specific to CYMV and CGB respectively were simultaneously amplified. The consistent result of multiplex PCR was compared with Simplex PCR for detection of each pathogen. The Muliplex PCR method developed in the present investigation proved to be highly sensitive, economic and reliable methods for detection of citrus greening bacterium (CGB) and the Citrus yellow mosaic virus (CYMV) in citrus trees from the orchards. The technique should prove highly useful in disease surveys, nursery certification and quarantine applications.