Miracle-dz/UniFAR-FTUs huggingface dataset:
Load voltage regulation via transmitter power supply control for wirelessly powered biomedical implants

ii Acknowledgement iii List of Tables vi List of Figures vii Chapter 1: Introduction 1 1.1 Motivation and research objectives 2 1.2 Organization of the thesis 3 Chapter 2: Wireless Power Transfer System and Control 4 2.1 Wireless Power Transfer (WPT) System 4 2.2 The class-E amplifier 5 2.3 Class-E amplifier in a WPT system 8 2.4 Coil misalignment 10 2.5 Load voltage regulation work review 12 2.6 Conclusion 18 Chapter 3: Proposed Load Voltage Regulation Method 19 3.1 The open-loop system 19 3.2 Load voltage regulation via linear feedback control 21 3.3 Obtaining the open-loop transfer function 25 3.4 Linear controller design 32 3.5 Effect of efficiency 34 3.6 Conclusion 34 Chapter 4: Simulation and Results 35 v 4.1 Simulink Model 35 4.2 Discussions 41 4.3 Conclusion 43 Chapter 5: Conclusion and Future Work 45 5.1 Contributions 45 5.2 Future work 46 Bibliography 47
Aspects of a Product using Aspect-based Opinion Mining from Product Reviews

As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used Aspect-Based Opinion Mining to get more interesting aspects of a product’s sentiment from unlabelled textual data. First, noun phrases algorithm was used to get all the aspect term of a review sentence. Secondly, the sentiment algorithm was applied on the result of the noun-phrase algorithm and also applied on adjectives and on adverbs. Finally, using relative importance algorithm important aspects were presented to the user. Our proposed methodology has achieved 77.03% of accuracy compared to previews studies. The proposed methodology can be applied for any product reviews in the form of text without any label, and it does not require any training dataset. doi: 10.5829/ije.2017. 30.11b. 11
Computations of geometrically linear and nonlinear Ginzburg-Landau mo dels for martensitic pattern formation

Computations show that a two dimensional geometrically nonlinear Ginzburg-Landau model with inertia exhibits long lived metastable states, that have martensite domains with split tips and bent needles similar to those observed in NiAl. In comparison, the geometrically linear model quickly relaxes to states with twins which extend all the way across the sample and have only short lived tip splitting and needle bending.
Genetic differentiation between Quercus frainetto Ten. and Q. pubescens Willd. in Romania.

Little is known about genetic differences among Quercus frainetto and Q. pubescens, two species of section Dascia Kotschy (subgenus Lepidobalanus, white oaks) that reach in Romania the margins of their natural distribution range. A set of genomic SSRs (simple sequence repeats) and EST (expressed sequence tags)-SSRs was used to estimate the genetic differentiation among four natural populations of the two species. Q. pubescens had higher values of genetic diversity than Q. frainetto, although the differences were not significant. Two out of seven marker-loci, QrZAG112 and QpZAG110, displayed very high FST values. Averaged across loci, the genetic differentiation was high and significant (FST = 0.067). Genetic distances were much higher among species than among populations within species. A Bayesian analysis indicated that two is the most appropriate number of genetic clusters. Using a blind procedure (i.e. based on multilocus genotypes only) the vast majority of sampled individuals (90%) could be assigned to the cluster corresponding to their phenotypes. When information about sampling localities was introduced in the assignment test, all individual trees were correctly classified. The higher degree of admixture in Q. frainetto as compared to Q. pubescens may be explained by different rates of introgressive hybridization.
Enterprise Agility on Consumption Value: Bringing Satisfaction in New Product

Agility becomes the norm of business, means of success. This is due to technological advances, accelerated learning process, diffusion of technologies in every sphere of life, short life cycle, high degree of risk and uncertainties. Aptly customer satisfaction has been modeled from different perspectives to address every possible explanation. Consumer behavior is very much situational. Ensuring an expected level of consumption value for new product becomes the biggest challenge to most of the marketers. How high degree of enterprise agility can bring satisfaction through confirming a satisfactory level of consumption value for new product is an issue of extensive research. A structured questionnaire is used to conduct a survey on Enterprise Agility (EA) and Consumption Value (CV). This research applies the consumption value model as the basic framework, which included the functional value, the social value, the emotional value, the epistemic value and the conditional value. The researchers also consider some agility dimensions as the influencers, that is, the brand image, consumers’ perceived risk, consumer attitude towards the new product, the buying intention, and the level of post-purchase satisfaction. As putting these two theories together, this research intends to verify whether the expected consumption value will be influenced by enterprise agility. After surveying consumers and implementing a canonical analysis, the data reveals two types of correlation between enterprise agility dimensions and consumption values. One is defined as the behavioral-facilitated relationship, which means that consumer behavior characterized by brand image, attitude and post-purchase satisfaction has positive relation to having higher willingness of preferring high function, social value, enthusiastic feeling, and novelty to make them satisfied while using new product. Contrarily, the second type is called the situational-conditional relationship, which means that the perceived risk combined with intention has the higher positive relation with the conditional value. The research will give more insights to the market researchers and professionals regarding the benefits of enterprise agility to ensure more customer satisfaction.
Swarm intelligence algorithms parameter tuning

Nature inspired metaheuristic algorithms are recently successfully used to find suboptimal solutions to hard optimization problems. These algorithms mimic different nature phenomena in hope that nature's implicit intelligence will help to guide the search in untractable problems. Swarm intelligence algorithms are a class of nature inspired algorithms based on collective intelligence of colonies of ants, bees, fish etc. They have a number quantitative and qualitative parameters that can be adjusted. Such adjustments are not allowed for specific test problems but only for a whole class. When some adjustment works for number of classes it can be incorporated into the generic algorithm as a new qualitative parameter (optional modification). In this paper we describe how successful application of pheromone correction strategy for the ant colony optimization (ACO) algorithm on three different graph problems is incorporated in ACO software framework as a module.
How not to fund teaching and learning

The Commonwealth Government's Learning and Teaching Performance Fund (LTPF) is not about improving the quality of teaching and learning in Australian universities, it is about creating winners and losers in the higher education market. This article critiques the LTPF on two levels. First, it argues that it is conceptually and methodologically flawed and cannot succeed in its own terms. The measures used are not valid or reliable. Second, the paper argues that the primary purpose of the LTPF is to further differentiate the higher education market through the creation of winners and losers, generate market information for consumers, contribute to the culture of audit and accountability within universities, and foster market subjectivities in which academics feel the need to 'add value' to themselves (Ball 2003: 217). The measures used by the LTPF and the processes used to implement them are suited for these purposes.
Performance Management System in Maharatna Companies (a Leading Public Sector Undertaking) of India - a Case Study of B.H.E.L., Bhopal (M.P.)

Extensive changes in the global economy have made it imperative for the governments all over the world to improve the quality of their governance structures. The Government of India has also introduced the New Public Management concepts in public administration with emphasis on ‘results’ or ‘performance’ to improve the efficiency and effectiveness of public services. This research aims to figure out the key variables that are having strong influence on Performance management system with special reference to BHEL, Bhopal (M.P.). Chi square test is applied in this paper to check the authenticity of data given by the respondents. We are also going to study the PM process, awareness level and satisfaction level of employees of BHEL and how the PM system affects the performance and career development of employees.
Distant origins of Arctic black carbon: A Goddard Institute for Space Studies ModelE experiment

[1] Black carbon (BC) particles, derived from incomplete combustion of fossil fuels and biomass, may have a severe impact on the sensitive Arctic climate, possibly altering the temperature profile, cloud temperature and amount, the seasonal cycle, and the tropopause level and accelerating polar ice melting. We use the Goddard Institute for Space Studies general circulation model to investigate the origins of Arctic BC by isolating various source regions and types. The model suggests that the predominant sources of Arctic soot today are from south Asia (industrial and biofuel emissions) and from biomass burning. These are the primary global sources of BC (approximately 20% and 55%, respectively, of the global emissions), and BC aerosols in these regions are readily lofted to high altitudes where they may be transported poleward. According to the model the Arctic BC optical thickness is mostly from south Asia (30%) and from biomass (28%) (with slightly more than half of biomass coming from north of 40°N); North America, Russia, and Europe each contribute 10–15%. Russia, Europe, and south Asia each contribute about 20–25% of BC to the low-altitude springtime “Arctic haze. ” In the Arctic upper troposphere/lower stratosphere during the springtime, south Asia (30–50%) and low-latitude biomass (20–30%) are dominant, with a significant aircraft contribution (10–20%). Industrial S emissions are estimated to be weighted relatively more toward Russia and less toward south Asia (compared with BC). As a result, Russia contributes the most to Arctic sulfate optical thickness (24%); however, the south Asian contribution is also substantial (17%). Uncertainties derive from source estimates, model vertical mixing, and aerosol removal processes. Nevertheless, our results suggest that distant sources contribute more to Arctic pollution than is generally assumed.
Intrinsic Absorption in the Spectrum of NGC 7469: Simultaneous Chandra, FUSE, and STIS Observations

We present simultaneous X-ray, far-ultraviolet, and near-ultraviolet spectra of the Seyfert 1 galaxy NGC 7469 obtained with the Chandra X-Ray Observatory, the Far Ultraviolet Spectroscopic Explorer, and the Space Telescope Imaging Spectrograph on the Hubble Space Telescope. Previous nonsimultaneous observations of this galaxy found two distinct UV absorption components, at -560 and -1900 km s-1, with the former as the likely counterpart of the X-ray absorber. We confirm these two absorption components in our new UV observations, in which we detect prominent O VI, Lyα, N V, and C IV absorption. In our Chandra spectrum we detect O VIII emission, but no significant O VIII or O VII absorption. We also detect a prominent Fe Kα emission line in the Chandra spectrum, as well as absorption due to hydrogen-like and helium-like neon, magnesium, and silicon at velocities consistent with the -560 km s-1 UV absorber. The FUSE and STIS data reveal that the H I and C IV column densities in this UV- and X-ray-absorbing component have increased over time, as the UV continuum flux decreased. We use measured H I, N V, C IV, and O VI column densities to model the photoionization state of both absorbers self-consistently. We confirm the general physical picture of the outflow in which the low-velocity component is a highly ionized, high-density absorber with a total column density of 1020 cm-2, located near the broad emission-line region, although due to measurable columns of N V and C IV, we assign it a somewhat smaller ionization parameter than found previously, U ~ 1. The high-velocity UV component is of lower density, log N = 18.6, and likely resides farther from the central engine, as we find its ionization parameter to be U = 0.08.
Assessing the “user-friendliness” of biopesticides and their conventional pesticide counterparts: A “proof-of- concept” framework for comparing pesticide groups

Biopesticides have a number of positive attributes compared with conventional pesticides but direct comparisons are difficult to achieve objectively. Therefore, an indexing method was developed and used to compare the user-convenience and flexibility of spray-applied biopesticides commercially available in the New Zealand with similar conventional pesticides. Relative efficacy was not assessed. Biopesticides scored higher than conventional pesticides when all parameters were considered, particularly for the major fruit crops. Biopesticides had significantly shorter withholding periods, required less resistance management, seldom needed an approved handler, and were registered for more crops than conventional pesticides. However, they were less compatible with other products and some required special storage conditions. There was little difference between the two groups regarding bee toxicity, target range and adjuvant requirements. The methodology used here could potentially be used to compare any individual pesticides or pesticide groups pertaining to a particular measure of interest.
Study on Relationship between Recruitment and Selection and Employee Performance in Technical Training Institutes in Kenya

The purpose of the study was to establish the relationship between Recruitment and Selection and the employee performance in Technical Institutes in Kenya. Human resource is an important corporate asset and the overall performance of company depends on the way it is put to use. In order to realize company objectives, it is essential to recruit people with requisite skills, qualification and experience and while doing so Human Resource Managers need to keep present and future requirements of organization in mind. The technical training institutes have in the recent past, faced transformation, expansion, conversions/upgrading and competition from other service delivery organizations. The objective was be to find out the relationship between recruitment and selection, and employee performance in technical training institutes in Kenya. The research adopted both descriptive and correlational research designs and a mixture of an approach consisting of both qualitative and quantitative research methods. A sample size of three Technical Institutes in Kenya and comprising of 137 respondents was used. A linear regression analysis was used to explain the relationship between independent variables and dependent variable. The data was analyzed and presented using the statistical methods amongst them tables, bar graphs and pie charts. The results were used test and determine the relationship of the variables. The findings revealed that employee welfare and reward management had the greatest effect on performance. The findings of the research was that there was a significant positive relationship between recruitment and selection and employee performance.
Differential-Drive Mobile Robot Control Design based-on Linear Feedback Control Law

This paper deals with the problem of how to control differential driven mobile robot with simple control law. When mobile robot moves from one position to another to achieve a position destination, it always produce some errors. Therefore, a mobile robot requires a certain control law to drive the robot’s movement to the position destination with a smallest possible error. In this paper, in order to reduce position error, a linear feedback control is proposed with pole placement approach to regulate the polynoms desired. The presented work leads to an improved understanding of differential-drive mobile robot (DDMR)-based kinematics equation, which will assist to design of suitable controllers for DDMR movement. The result show by using the linier feedback control method with pole placement approach the position error is reduced and fast convergence is achieved.
Effects of patch size on liana diversity and distributions in the tropical montane evergreen forests of the Nilgiri Mountains, southern India

Abstract: We investigate the effect of patch size on liana diversity and distribution in 19 patches of montane evergreen forest in the Nilgiri hills, Western Ghats, southern India. Additionally, we examined how liana species richness and community assemblage in both edge (within 10 m of the forest edge) and interior regions of forest patches respond to patch size, in order to infer the impact of forest expansion or reduction on the liana communities. A total of 1276 woody liana individuals of 15 species were identified, belonging to 10 genera and nine families. Total species richness of lianas was significantly positively related to forest-patch area, both when analysed for the entire patch, in addition to both core and edge regions when examined separately. Species richness of larger lianas also showed a significant positive relationship with increasing forest patch area. Community assemblage varied with respect to forest edge, with shade-dependent species only occurring in interior patch regions, shade-averse species in edge regions, and shade-tolerant species occurring throughout. Disturbance also played a role in determining the response of liana diversity to patch size, with heavily disturbed patches showing no relationship between patch size and diversity, whereas positive relationships exist in low to moderately disturbed patches. The most significant result is the change in liana community composition between small and larger fragments. Many species present in smaller patches are also present in edge zones of larger fragments. This suggests that lianas are important structural components of montane forest ecosystems, and their compositional patterns are possibly driven by succession. Moreover, this study reveals the importance of edge effect and patch size in influencing liana species richness and compositional patterns.
Certain non-linear differential polynomials having common poles sharing a non zero polynomial with finite weight

With the notion of weighted sharing we study the uniqueness property of meromorphic functions having common poles when certain non-inear differential polynomials share a non zero polynomial function. Our theorems in the paper will improve, extend and supplement a number of recent results in a more compact and convenient way. Mathematics subject classification (2010): 30D35.
An Empirical Study on the Influence of Online Service Quality on Customer Satisfaction: A Study of Royal Jordanian Airline

The aims of this paper is to examine the relationships of online service quality dimensions with customers’ satisfaction towards e-ticket system in Royal Jordanian Airlines. The proposed instrument dimensions are identified based on a questionnaire survey conducted in Jordan. Based on an extensive review of literature, this paper proposed five dimensions for measuring online service quality on customer satisfaction. The results show significant relationships among the online service quality dimensions (Responsiveness, Contact, Efficiency and privacy), and customer satisfaction. The results are important to enable managers to have a better understanding of the key online service quality dimensions that influence customer satisfaction. The primary limitations of this research are the scope and size of its sample. Keywords: online service quality, Responsiveness, Compensation, Contact, Efficiency and privacy and customer satisfaction
Experiential learning and critical reflection as a tool for transfer of business knowledge : an empirical case study of a start-up simulation intervention for nascent entrepreneurs

This paper investigates the impact of venture start-up simulation on participants’ learning; it is concerned specifically with the relationship between experiential learning theory and critical reflection within venture start-up simulation. This was carried out in empirical investigation of a simulation training game used to train entrepreneurs in a formal setting. The findings show significant improvement in their knowledge of finance, marketing operations and information use. Participants reported increased skills and intended behavioural changes in their own ventures. Finally, there was empirical support for the fact that critical reflection during experiential learning can greatly improve the standard of learning and has an immediate effect on participants’ behaviour.
Testing nonlinearities between Brazilian exchange rate and inflation volatilities

There are few studies, directly addressing exchange rate and inflation volatilities, and lack of consensus among them. However, this kind of study is necessary, especially under an inflation-targeting system where the monetary authority must know well price behavior. This article analyses the relation between exchange rate and inflation volatilities using a bivariate GARCH model, and therefore modeling conditional volatilities, fact largely unexplored by the literature. We find a semi-concave relation between those series, and this nonlinearity may explain their apparently disconnection under a floating exchange rate system. The article also shows that traditional tests, with non-conditional volatilities, are not robust.
Spectroscopic Methods for Analysis of Cephalosporins in Pharmaceutical Formulations

Cephalosporins are the most commonly prescribed β-lactam antibiotics. Spectrophotometry is probably the most convenient analytical technique for routine analysis, because of its inherent simplicity, low cost and wide availability in quality control laboratories. Several papers have been presented in recent years regarding the development and validation for spectrophotometry methods for analysis of cephalosporins in pharmaceutical formulations. In this review article, various spectroscopic methods for analysis of cephalosporins are presented and discussed.
REDUCING SUGARS CONTENT AND CHIPPING QUALITY OF TUBERS OF POTATO CULTIVARS AFTER STORAGE AND RECONDITIONING

Dry matter and reducing sugars content were determined in 11 potato cultivars grown at four locations after 100 and 210 days of storage (DOS) at 4, 8, 12, 16 and 20oC. [After 210 DOS, the dry matter content was higher in tubers stored at 12 and 16 o C depending on the location]. After 100 DOS, the reducing sugars content was higher in tubers stored at 4 and 8 o C resulting in dark and unacceptable chip colour. When stored at 12, 16 and 20 o C, the reducing sugars content decreased significantly after 100 DOS but the chip colour was acceptable only in Kufri Chipsona-1 and Kufri Chipsona-2, and in Kufri Jyoti grown at Patna. Reconditioning at 20 o C resulted in significant decrease in reducing sugars content and improvement in chip colour but it was still unacceptable. Increasing the reconditioning period from 3 to 6 weeks did not improve the chip colour. Cultivars differed significantly in their response to reconditioning and it was effective only in few cultivars stored at different temperatures. After 210 DOS, the reducing sugars content increased and chip colour deteriorated in all the cultivars.