Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Customer Perceived Value and Customer ’ s Perception of Public Relation on Customer Loyalty with Moderating Role of Brand Image

Purpose/Significance: The purpose of this study was to investigate the relationship between customer perceived value and customer’s perception of public relation on customer loyalty with moderating role of brand image. Research was conducted on banking sector of Pakistan. Design/methodology/approach: Data collected in a survey that yielded 930 respondents. Questionnaire was adopted from research work of Zeithaml, Berry, and Parasuraman (1996) and Park, Jaworski, and Maclnnis (1986). Deductive -Positive Quantitative Approach was used for the analysis. A theoretical framework was proposed to suggest links among variables. Multiple regression and Moderating regression were used to examine the hypothesized relationship. Findings: It was found that Customer Perceived value, Customer’s Perception of Public relation brought 94.0% change on customer loyalty. Study concluded that there was a strong positive significant relationship between proposed variables. To check the JIBC April 2016, Vol. 21, No.2 2 moderation of brand image researcher took the interaction of all independent variables with brand image. Results prevailed that there was significant qasi moderation exist. Research limitations/implication: Further research is indicated, to identify effects of these variables on other services provider companies of excluding Pakistani banking sector. Banking sector in Pakistan should pay more attention on Customer’s Perception of Public relation and Customer Perceived Value, in order to enhance the customer loyalty. Originality/value: This study is the first study that tests the western model on south eastern countries like Pakistan. In addition to that there is no research work found that reflects on customer perceived value and Customer’s perception of public relation with moderating effect of brand image especially on banking sector of Pakistan. This document will help managers to adopt appropriate strategies that will lead banking sector towards prosperity.
The Future of Data Storage: A Case Study with the Saudi Company

The age of big data has emerged. These data are generated from online transactions, emails, posts, videos, search queries, etc. People also produce data by using the Internet of Things (IoT) applications and devices. Storing these massive quantities of data has become one of the most important and critical issues for big companies like Google, LinkedIn, Yahoo, and for the digital society in general. Traditional data storage methods such as Relational Database Management Systems (RDBMSs) are coming under increase pressure due to their capability limitations. However, many of new technical solutions have proved their efficiency in storing big data for large companies; some examples of these solutions include NetApp, Hadoop, SAN, the cloud, data centres, etc. The storage, accessibility, and security of big data issues are not only a computer science concern; it has become a topic of interest in many fields such as healthcare, E-commerce, and business in general. This project is investigating the data storage methods and future requirements for one of the largest oil companies in the world, Saudi SA Oil Company. A survey was carried out to understand current storage problems, and collect requirements to implement effective storage methodologies that overcome most of SA’s storage difficulties.
The application of the Buckingham Π theorem to modeling high-pressure regenerative heat exchangers in o ff-desing operation

The study presents the possibility of applying the Buckingham Π theorem to modeling high-pressure regenerative heat exchangers in changed conditions. A list of independent parameters on which the water temperature at the outlet of the heat exchanger depends was selected; and by means of the Buckingham Π theorem a functional relation between two dimensionless quantities, where there is no overall heat transfer coefficient, was obtained. The exact form of the function was determined on the basis of actual measurement data and a linear relation between two dimensionless quantities has been obtained. The correctness of the proposed relation was examined for two high-pressure regenerative exchangers for a 200 MW power plant.
Influences of Berry Size on Fruit Composition and Wine Quality of Vitis vinifera L. cv. ‘Cabernet Sauvignon’ Grapes

The heterogeneity of berry heterogeneity is a commonly occurring phenomenon that has a big influence on fruit composition and wine quality. To clarify this relationship, ‘Cabernet Sauvignon’ grapes were collected at harvest from a single vineyard and divided into three categories in two consecutive years: small (≤ 0.75 g), medium (0.76-1.25 g), and large (> 1.25 g). The medium berries were present in the highest frequency, accounting for more than 50% of the berry populations. The standard physicochemical parameters of the fruit were significantly affected by berry size. The relative skin mass and soluble solids contents, as well as total phenolic and anthocyanin concentrations, decreased with the berry size, while the relative seed mass, pH and malic acid content were positively correlated with berry weight. Accordingly, the wine composition also varied with berry size, as the wines made from small berries showed the highest alcohol and residual sugar content. CIELab parameters of the resulting wines showed the small berries were more desirable for making wine with a deeper and more saturated colour. With regard to volatile compounds, berry size showed a limited effect. Only 1-hexanol and laevo-2,3-butanediol showed consistent and significant trends across vintages for wine volatiles, which showed the highest levels in wines made from the small category of berries.
Screening for Drought Tolerance in Tepary and Common Bean Based on Osmotic Potential Assays

Common bean (Phaseolus vulgaris L.) is the most important food legume grown worldwide. In Mexico, it is a strategic crop, occupying the second place in terms of cultivated area. Drought is the main problem for common bean production in Mexico. Some tepary (Phaseolus acutifolius A. Gray) and common bean genotypes can be a source for drought tolerance to improve commercial cultivars. The main objectives of this study were the evaluation of germination and seedling growth components in response to drought stress and the identification of sources of drought tolerance in both tepary and common bean. The experiment was conducted using various osmotic pressures (OP) induced by polyethylene glycol (PEG6000) (0, -0.15, -0.30 and -0.49 MPa) simulating an increase of drought stress in seven common bean and three tepary bean genotypes. The most drought-tolerant genotypes were two tepary beans: Tepary cafe which had a reduced root length of 21.4% and Tepary negro that decrease root length in a 29.7% compared to control at high osmotic pressure. Besides, two common beans: Rosa Bufa and Santa Fe (which decreased root length at high osmotic pressure in 46.0% and 34.2%, respectively) could be used as sources of favorable alleles to improve bean tolerance to drought. There are different strategies to tolerate drought, such as developing a long root, root fresh weight, and root dry weight.
Software tool for thermographic inspection using multimodal fusing of thermal and visible images

Monocular cameras are commonly used in communication devices, entertainment, and industrial environments since they allow people to recognize rapidly scenes and objects. On the other hand, thermal cameras are mostly known in industrial environments to visualize the objects’ thermic radiance but they lose their visual details. This work presents the design and implementation of a thermography inspection tool – INVIfusion – to fuse infrared and visual spectrum images. This tool includes three modules: image acquisition and calibration module, multimodal image fusion module, and report generation module. The main contribution of this work compared with other software inspection tools is INVIfusion supports cameras from different manufacturers system’s functionality and accuracy, quantitative and qualitative tests were performed considering different measuring the mean symmetric re-projection error obtaining a maximum error of 2.08 ± 1.8 pixels.
On A/D converters with low-precision analog circuits and digital post-correction

Progress in the fabrication of integrated circuits (ICs) enables smaller and smaller minimum feature sizes, so that more and more transistors can be realized per chip area. Digital circuits greatly benefit from the miniaturization. By contrast, analog circuits suffer from reduced precision when component sizes are decreased, because for decreased component sizes, the respective component values increasingly deviate from their nominal values in a non-deterministic manner. Some of the resulting precision errors can be corrected by digital processing. Thus, a promising approach to mixed-signal circuit design is using small low-precision analog circuits and applying digital correction, such that the system as a whole is sufficiently precise. In this thesis, we apply the above-mentioned approach to analog-todigital converters (ADCs), as they combine analog and digital circuits. ADCs are key building blocks of modern electronic devices which process physical quantities digitally. Examples of such devices are mobile phones, digital cameras or measurement devices such as digital voltmeters. Such devices often contain several ADCs which convert radio signals, touchscreen information, optical image data or plain voltage values into digital signals. Specifically, we consider ADCs using low-precision analog circuits and digital post-correction. We mostly consider static characteristics, ignoring dynamical issues like noise, sampling or settling. The thesis presents a few studies and ideas on the topic. We study the static accuracy of various flash-type ADCs with lowprecision components and digital correction. We model the key analog components and assess the static accuracy using Monte Carlo simulations. Similarly, we extend the discussion of the static accuracy to sequential ADCs based on beta expansions (“radix < 2” conversion). We conclude that both flash-type ADCs and sequential ADCs using low-precision
Influence of frontal cyclone evolution on the 2009 (Ekman) and 2010 (Franklin) Loop Current eddy detachment events

Abstract. The anticyclonic Loop Current Eddy (LCE) shedding events are strongly associated with the evolution of Loop Current Frontal Eddies (LCFEs) over the eastern Gulf of Mexico (GoM). A numerical simulation, in tandem with in situ measurements and satellite data, was used to investigate the Loop Current (LC) evolution and the surrounding LCFE formation, structure, growth and migration during the Eddy Ekman and Eddy Franklin shedding events in the summers of 2009 and 2010, respectively. During both events, northern GoM LCFEs appeared vertically coherent to at least 1500 m in temperature observations. They propagated towards the base of the LC, where, together with the migration of Campeche Bank (southwest GoM shelf) eddies from south of the LC, contributed to its "necking-down". Growth of Campeche Bank LCFEs involved in Eddy Franklin was partially attributed to Campeche Bank waters following upwelling events. Slope processes associated with such upwelling included offshore exports of high positive potential vorticity that may trigger cyclone formation and growth. The advection and growth of LCFEs, originating from the northern and southern GoM, and their interaction with the LC over the LCE detachment area favor shedding conditions and may contribute to the final separation of the LCE.
IN-VITRO FREE RADICAL SCAVENGING ACTIVITY OF AERIAL PARTS OF ETHANOLIC EXTRACT OF ALBIZIA PROCERA (FAMILY: MIMOSOIDEAE)

Objective: Research study was undertaken to investigate and evaluate the in-vitro antioxidant activities of ethanolic extract of Albizia procera. Methods: The ethanolic extract of Albizia procera was examined for DPPH (α,α-diphenyl-β-picrylhydrazyl) radical scavenging activity, Superoxide anion, Nitric oxide and Hydroxyl radical scavenging activity with reference standard Rutin, Quercetin and ascorbate respectively through in-vitro models. Results: Ethanolic extract of Albizia procera showed significant free radical scavenging activity than that of various standards. The radical scavenging activity was found to be concentration dependent manner. Conclusion: Ethanolic extract of Albizia procera showed strong scavenging activity against free radical compared to various standards. These in-vitro assays indicate that this plant extract is a better source of natural antioxidant, which might be helpful in preventing the progress of various oxidative stresses.
UvA-DARE ( Digital Academic Repository ) Shape of an arbitrary finite point set in R ^ 2

We study the shape of a finite point set in Ill 2, where the points are not bound to a regular grid like Z 2. The shape of a connected point set in IR 2 is captured by its boundary. For a finite point set the boundary is a directed graph that connects points identified as boundary points. We argue that to serve as a proper boundary definition the directed graph should regulate scale, be minimal, have an increasing interior and be consistent with the boundary definition of connected objects. We propose to use the directed variant of the a-shape as defined by Edelsbrunner et al (1983), which we call the a-graph. The a-graph is based on a generalization of the convex hull. The computational aspects of the a-graph have been extensively studied, but little attention has been paid to the potential use of the a-graph as a shape descriptor or a boundary definition. In this paper we prove that the oz-graph satisfies the aforementioned criteria. We also prove a relation between the a-graph and the opening scale space from mathematical morphology. In fact, the a-hull provides a generalization of this scale space. Key words° shape analysis, boundary definition, computational geometry, mathematical morphology, scale space
Adult survival and avian cholera in common Guillemots Uria aalge in the Baltic Sea

An influence at one trophic level can result in dynamic impacts also on other components of a food web. These dynamics are known as trophic cascades, and can be both top-down and bottom-up. After a near-collapse of the Baltic cod Gadus morhua stock in the 1980s, its main prey sprat Sprattus sprattus increased dramatically. The main food of sprat, marine copepods, decreased during the same time period, likely a combined effect of increased predation pressure from sprat and decreasing salinities. This shortage of food for sprat resulted in decreasing quality of sprat as a food source for common guillemots Uria aalge. However, a recent increase in fishing for sprat has again resulted in better feeding conditions for guillemots.Human impacts on this simple food web can be complex. In the early 20th century, marine mammals were abundant and nutrient levels were low in the Baltic Sea. This thesis illustrate that this situation corresponded to lower fish biomass. A reduction of seals early in the century led to reduced top-down control, which resulted in increasing fish stocks. Later, in the 1950s, the largest inflow of salt water during the century mobilized accumulated phosphorus from the deep sediments, which stimulated nitrogen fixation. Combined with increasing anthropogenic nutrient loads, this led to increased primary production and a rapid change from an oligotrophic to a eutrophicated state. This change can be termed a regime shift, which also stimulated fish production. Subsequent over-fishing of cod likely caused a second regime shift, from a cod- to a clupeid- dominated state, which led to the described effects on the common guillemots.Several factors affect the life-history of this long-lived seabird. Bycatches in gillnet fisheries is one factor directly affecting guillemot survival, and the proportion of bycatches increased during a period of increasing fishing effort. Surprisingly, avian cholera, a previously undocumented disease in common guillemots, was found at times to cause considerable adult mortality. Common guillemot life-history information can communicate the diversity of factors influencing marine ecosystems – hopefully this can increase our understanding of how complex even "simple" food webs are.
On a Correlation between the Ionospheric Electric Field and the Time Derivative of the Magnetic Field

A correlation of the ionospheric electric field and the time derivative of the magnetic field was noticed over thirty years ago and has yet to be explained. Here we report on another set of examples during the superstorm of November 2004. The electric field in the equatorial ionosphere, measured with the Jicamarca incoherent scatter radar, exhibited a 3 mV/m electric field pulse that was not seen in the interplanetary medium. It was, however, accompanied by a correlation with the time derivative of the magnetic field measured at two points in Peru. Our inclination was to assume that the field was inductive. However, the time scale of the pulse was too short for the magnetic field to penetrate the crust of the Earth. This means that the area threaded by was too small to create the observed electric field by induction. We suggest that the effect was caused by a modulation of the ring current location relative to the Earth due to the electric field. This electric field is required, as the magnetic field lines are considered frozen into the plasma in the magnetosphere. The closer location of the ring current to the Earth in turn increased the magnetic field at the surface.
Privacy Preserving Data Mining using Cluster based Randomized Perturbation

--Privacy is an important issue when one wants to make use of data that involves individual’s sensitive information. Research on protecting the privacy of individuals and the confidentiality of data has received contributions from many fields, including computer science, statistics, economics and social science. This is an area that attempts to answer the problem of how an organization, such as a hospital, government agency or insurance company, can release data to the public without violating the confidentiality of personal information. The technique used in this paper mainly focuses on Randomization for perturbation of values. The Randomization method is a technique for privacy preserving data mining in which noise is added to the data in order to mask the attribute values of records. The noise added is sufficiently large so that individual record values cannot be recovered. Therefore, techniques are designed to derive aggregate distributions from the perturbed records. Subsequently, data mining techniques can be developed in order to work with these aggregate distributions.
Measurement of ambient aerosol hydration state at Great Smoky Mountains National Park in the southeastern United States

Abstract. We present results from two field deployments of a unique tandem differential mobility analyzer (TDMA) configuration with two primary capabilities: identifying alternative stable or meta-stable ambient aerosol hydration states associated with hysteresis in aerosol hydration behavior and determining the actual Ambient hydration State (AS-TDMA). This data set is the first to fully classify the ambient hydration state of aerosols despite recognition that hydration state significantly impacts the roles of aerosols in climate, visibility and heterogeneous chemistry. The AS-TDMA was installed at a site in eastern Tennessee on the border of Great Smoky Mountains National Park for projects during the summer of 2006 and winter of 2007–2008. During the summer, 12% of the aerosols sampled in continuous AS-TDMA measurements were found to posses two possible hydration states under ambient conditions. In every case, the more hydrated of the possible states was occupied. The remaining 88% did not posses multiple possible states. In continuous measurements during the winter, 49% of the aerosols sampled possessed two possible ambient hydration states; the remainder possessed only one. Of those aerosols with multiple possible ambient hydration states, 65% occupied the more hydrated state; 35% occupied the less hydrated state. This seasonal contrast is supported by differences in the fine particulate (PM 2.5 ) composition and ambient RH as measured during the two study periods. In addition to seasonal summaries, this work includes case studies depicting the variation of hydration state with changing atmospheric conditions.
Why Do Product-Market Strategies Fail? A Sociostructural Examination Under Conditions of Adherence

The authors contend that structural and managerial antecedents of strategy failure exist and the extent to which these determine failure is different under conditions of high and low adherence to strategy. Our results support these arguments and demonstrate that the drivers of failure differ according to the unusual strategy process environment of both types of firms. Resource scarcity is found to be a common antecedent to strategy failure in organizations regardless of adherence. From there, managerial conditions (symbolic information use, strategy championing, and tenure) drive strategy failure in high-adherence firms. However, only structural conditions (formalization and resource scarcity) are antecedents of strategy failure in low-adherence firms, while failure is mitigated by centralized decision making.
Incentives and Innovative Propensity

The paper explores how firms can promote new idea generation through staff motivation, by introducing incentives. Incentives can spur an evolution in the staff attitude from “productive” behaviours (result achievement) to “innovative” and “cooperative” behaviours which make the difference for idea generation. However the impact of individual and group incentives on the individual innovative propensity of R&D professionals is still unclear, with a huge debate in the literature on the role of extrinsic and intrinsic incentives and motivation. The paper tries to shed lights on this topic by identifying intermediate motivational factors as well as other organisational elements that moderate the main relation between incentives and innovative propensity. The empirical part of the paper is a qualitative study consisting in the analysis of case studies. The results show that intrinsic incentives and motivation, in the form of acknowledgement and actual implementation of ideas of innovators, are the main factors that positively affect innovative propensity. The group dimension in rewarding and the overlapping of regulation and personal goals are also very important. The main organisational characteristics that positively moderate the relation between incentives and innovative propensity are managerial support, task stability and width of role.
Modeling of Measurement Error for Categorical Data in Surveys

Measurement error is an essential part of nonsampling error. Modeling of measurement error has many applications such as to assess accuracy of survey results. Modeling of measurement error should be assessed based on types of data sets. In the previous investigations, modeling of measurement error for continues data is studied. In this paper, a model of measurement error for categorical data in surveys is proposed. Mathematics Subject Classification: 62P99