Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-similarity analysis on human backscattering in radar

The self-similarity of Human target backscattering in radar is analyzed. The human echo of typical radar signals (i.e., range profiles, micro-Doppler image and range-Doppler video sequence) is modeled by motion capture data. Then the self-similarity matrices (SSM) of the radar signals are constructed and compared. Since the SSM of range-Doppler video sequence exhibits periodic information in a more simple manner, it is further analyzed to demonstrate the angle-invariant characteristic of SSM. Finally, the periodicity of different activities (i.e., walking and running) are extracted from SSM and compared.
Significant factors for enabling knowledge sharing between government agencies within South Africa

Background: Globally, organisations have recognised the strategic importance of knowledge management (KM) and are increasingly focusing efforts on practices to foster the creation, sharing and integration of knowledge. Objectives: This study aimed to validate the significant factors that influence the effectiveness of KM between government agencies in South Africa. The commonly identified pillars of KM in the extant literature served as a primary framework in establishing these factors. Method: Data were gathered using an electronic survey made available to different national government agencies within the security cluster. Responses were analysed using structural equation modelling. Main findings: Existing literature highlighted organisational culture, learning organisation, collaboration, subject matter experts and trust as being determinants for knowledge management. The first two were identified as the most significant factors for knowledge sharing to succeed. Conclusion: Whilst there is universal consent as to the strategic importance of KM, actionable implementation of knowledge sharing initiatives appears to be lacking. This study emphasised the fact that leaders must instil a knowledge sharing culture either through employee performance contracts or methods such as the balanced score card. The study also showed that it is imperative for leaders to acknowledge that KM is a multi-faceted discipline that offers strategic advantages. Leaders of developing countries should note that they are on a developmental journey. This requires their organisations to be learning organisations, which necessitates a change in the organisational culture and knowledge interventions through their academies of learning.
Transforming financial OTC Markets. Struggles around categories

We take advantage of the regulatory change planned to transform financial OTC markets into organized markets to study the processes and the means by which powerful actors resist categorization and contest a certain vision of the market. Specifically analyzing the documents produced by the MiFID 2 consultation, we show how, by undermining the categories proposed by the regulator, major dealers attempt to create incommensurability. We study the way they simultaneously attempt to protect the “clubby” nature of OTC markets, evidencing that the struggle against the regulation to come is a struggle over a market form. We unveil the way by which major dealers are eventually cornered by regulators to develop the notion of a specific nature of OTC markets, lacking however a conceptualization to strengthen their argument.
A Study of Cross-domain Generative Models applied to Cartoon Series

We investigate Generative Adversarial Networks (GANs) to model one particular kind of image: frames from TV cartoons. Cartoons are particularly interesting because their visual appearance emphasizes the important semantic information about a scene while abstracting out the less important details, but each cartoon series has a distinctive artistic style that performs this abstraction in different ways. We consider a dataset consisting of images from two popular television cartoon series, Family Guy and The Simpsons. We examine the ability of GANs to generate images from each of these two domains, when trained independently as well as on both domains jointly. We find that generative models may be capable of finding semantic-level correspondences between these two image domains despite the unsupervised setting, even when the training data does not give labeled alignments between them.
Digital 2-/3-Phase Switched-Capacitor Converter With Ripple Reduction and Efficiency Improvement

This paper presents a digitally controlled 2-/3-phase 6-ratio switched-capacitor (SC) dc-dc converter with low output voltage ripple and high efficiency. To achieve wide input and output voltage ranges, six voltage conversion ratios are generated with only two discrete flying capacitors by using both 2- and 3-phase operations. An adaptive ripple reduction scheme is proposed to achieve up to four times reduction in the output voltage ripple. The complexity of controller design is reduced by using digital synthesis, and the technique is scalable with process. Fast loop response is achieved by using synchronized hysteretic control. The SC converter was fabricated in a 0.13- $\mu \text{m}$ CMOS process. It can deliver a maximum power of 250 mW to an output of 0.5–3 V with a wide input voltage range of 1.6–3.3 V. Compared to an SC converter with only 2-phase operation, the maximum efficiency improvement is 20%. The converter achieves a peak efficiency of 91%.
Antecedents, Moderators and Outcomes of Brand Image: A Conceptual Framework

The conceptual framework of brand image is a combination of antecedents, moderators and outcomes that create differential effects on customer response to the marketing of the brand. By constructing a conceptual framework of brand image, organizations will build a competitive advantage in the marketplace that will increase their overall image with long-term sustainability. Indeed, recent trends in modern marketing have changed tremendously, and study of conceptual framework of brand image is increasingly becoming considerable to keep pace with this change. In this conceptual paper, we have summarized the literatures on currently prevailing concepts and approaches on brand image that will allow us to identify the conceptual framework of brand image, and therefore will facilitate organizations to enhance their marketing efficiency and effectiveness. In this framework, we discussed a case study in Bangladesh, and in light of the findings of this case study we put forward the notion that the conceptual framework of brand image need to be associated with organizational activities. DOI: 10.5901/mjss.2014. v5n23p221
The Quantitative Approach in Cultural Anthropology: Application of Linguistic Corpora in the Analysis of Basic Colour Terms

Frequencies of colour terms are analysed in ten Indo-European languages (Czech, English, French, Italian, Polish, Russian, Rumanian, Slovak, Spanish and Ukrainian) on the basis of frequency dictionaries. The research reveals that cross-linguistic distributions of colour terms in these languages are similar, but more sensitive statistical tests (chi -square) show that they cannot be regarded as statistically independent. The quantitative structure of colour terms is then compared with the chronological-evolutionary scheme proposed by Berlin and Kay in 1969. The study proves that quantitative data based on lexical resources, including frequency dictionaries, are a useful and promising tool of research in the anthropology of culture.
Protein refolding versus aggregation: computer simulations on an intermediate-resolution protein model.

Computer simulations are performed on a system of eight model peptide chains to study how the competition between protein refolding and aggregation affects the optimal conditions for refolding of four-helix bundles. The discontinuous molecular dynamics algorithm is utilized along with an intermediate-resolution protein model that we developed for this work. Physically, the model is much more detailed than any model used to date for simulations of protein aggregation. Each model residue consists of a detailed, three-bead backbone and a simplified, single-bead side-chain. Excluded volume, hydrogen bond, and hydrophobic interactions are modeled with discontinuous (i.e. hard-sphere and square-well) potentials. Simulations efficiently sample conformational space, and complete folding trajectories from random initial configurations to two four-helix bundles are possible within two days on a single processor workstation. Folding of the bundles follows two main pathways, one through a trimeric intermediate and the other through an intermediate with two dimers. The proportion of trajectories that follow each route is significantly different for the eight-peptide system in this work than in a previously studied four-peptide system, which yields one four-helix bundle, suggesting, as our previous simulations have, that protein folding properties are strongly influenced by the presence of other proteins. Folding of the bundles is optimal within a fixed temperature range, with the high-temperature boundary a function of the complexity of the protein (or oligomer) to be folded and the low-temperature boundary a function of the complexity of the protein's environment. Above the optimal temperature range for folding, the model chains tend to unfold; below the optimal range, the model chains tend to aggregate. As has been seen previously, aggregates have substantial levels of native secondary structure, suggesting that aggregates are composed largely of partially folded intermediates, not denatured chains.
Supply chain risks: a review and typology

Purpose – The purpose of this paper is to review the growing literature examining supply chain risk management (SCRM) and to develop a typology of risks in the supply chain.Design/methodology/approach – The paper draws its insights and conclusions from a review of the literature on supply chain risk, and a synthesis of the broader domain of risk management.Findings – While the literature on SCRM is growing, the literature lacks an organized structure for the sources of supply chain risk. The current paper bridges this gap by synthesizing the diverse literature into a typology of risk sources, consisting of environmental factors, industry factors, organizational factors, problem‐specific factors, and decision‐maker related factors.Practical implications – The paper devises a typology that can be used by managers to measure and assess the vulnerabilities of their company and supply chain. The typology also provides avenues for future research that further guides practitioners in the management of their supp.
Information Literacy through Web 2.0 Integrated WebOPAC: An Experiment at Jaypee Group of Institutions

Application of Web 2.0, ‘The Second Generation of the Internet’, has become one of the fastest growing communication technology and being adopted by corporate and service sector. The same is the case of library and information science service centres. Increasing popularity of Web 2.0 technology provides a prime opportunity to engage patrons in the virtual environment. It attracts users to communicate with similar interest people through networking and present myriad of resources and information in the form of multimedia, blogging, tagging, bookmarking, messaging, and social networking. This paper discusses some of the implication of the Web 2.0 application as an information awareness tool about the resources available in library and connecting to the other Jaypee Group of Educational Institutions.
Predicting postnatal depression among pregnant women.

BACKGROUND Depression after the birth of a baby is a common cause of maternal morbidity, and its prevalence in Australia is 10 to 15 percent at 6 to 9 months postpartum. This study assesses the prediction of postnatal depression at 6 weeks postpartum. METHOD Women at 24 weeks' gestation or less were invited to complete a Modified Antenatal Screening Questionnaire (MASQ) that identified women more vulnerable to becoming depressed after childbirth. Of these 249 women, 144 (58%) screened more vulnerable, and were randomly allocated to receive either a supportive intervention to reduce postnatal depression or to receive no intervention. At 6 weeks postpartum the women completed the Edinburgh Postnatal Depression Scale (EPDS) to assess their mood after the birth. RESULTS No difference occurred at 6 weeks postpartum between the MASQ vulnerable group (return rate 64/68) and the MASQ less vulnerable group (return rate 44/51) in the frequency of those who screened as potential candidates for major depression using the EPDS. For major depression the MASQ's sensitivity was 73 percent, specificity 43 percent, positive predictive value 17 percent, and negative predictive value 91 percent; for minor depression its sensitivity was 81, 48, 34, and 89 percent, respectively. The MASQ was able to predict minor depression. More women in the vulnerable group scored at increased risk of minor depression on the EPDS at 6 weeks postpartum. CONCLUSION Further studies are needed to extend this work and develop a screening test with higher specificity and greater positive predictive value.
Importance of the Two Interferon-stimulated Response Element (ISRE) Sequences in the Regulation of the Human Indoleamine 2,3-Dioxygenase Gene*

Indoleamine 2,3-dioxygenase (INDO) is the rate-limiting enzyme in the catabolism of the essential amino acid L-tryptophan. It is induced strongly in many cell lines following interferon-γ treatment. We report the cloning and characterization of the full-length human INDO promoter. This promoter is 1,245 base pairs long and includes two interferon-stimulated response elements (ISRE) separated by an approximately 1-kilobase sequence. The presence of these two ISREs is critical for maximum INDO promoter activity (50-fold induction). When the ISREs are present in two separate fragments cloned upstream of the chloramphenicol acetyltransferase (CAT) reporter vector, the INDO promoter activity drops significantly (7-fold induction). 5′ end deletions of the wild type promoter sequence indicate that removal of the ISRE (ISRE1) at position −1126 reduces the induction level to approximately 25-fold. This activity does not change appreciably when the promoter is deleted down to position −241. Furthermore, site-directed mutagenesis of ISRE1 also decreases the promoter activity in a similar way. When ISRE1 is kept intact, deletion of the second ISRE (ISRE2) at position −111 leads to only 11-fold induction of the promoter. A similar result is obtained when substitution mutations are introduced in ISRE2. Deletion of a 748-base pair sequence between the two ISREs only shows a slight decrease in the INDO promoter activity. These data indicate that the two ISRE sequences are required for the full transcriptional induction of the interferon-γ-inducible human INDO gene. INDO activity is not induced in the hepatic cell line HepG2. An analysis of INDO-CAT activity in this cell line indicated that the lack of INDO activity was at the transcriptional level and could reflect either the presence of a repressor or lack of a transcription factor. This lack of induction could be correlated with a truncated or unstable IRF-1. However, the levels of IRF-2, JAK2, and STAT 91 were similar in both ME180 and HepG2 cells.
Mobile Services as a Marketing Tool to Enhance Restaurant Revenue: An Exploratory Study

The study's first objective is to discuss the potential of mobile information services' enhancement of the restaurant industry's revenues, and second, to provide practical implications for restaurant managers who wish to capitalize on the opportunities mobile information services offer. According to the survey findings, managers can expect that about a half of their young customers may consider participating in offered services; potential users of restaurants' electronic information prefer receiving discounts, incentive information, and electronic coupons, and prefer not to receive gourmet menu information, pictures, or videos. Potential users of the mobile information services are somewhat reluctant to provide personal information.
Revisioning Social Work Clinical Education: Recent Developments in Relation to Evidence-Based Practice

An evidence-based practice (EBP) movement is underway in social work that promises to change the very nature and methods of clinical education and practice. Growing demands for accountability, increasingly sophisticated clients, heightened threats of malpractice liability, and a host of additional factors arising within and external to the profession have contributed to the growth of EBP. This review examines indices of the growing influence of EBP, reasons for the emergence of EBP, misgivings about and potentially positive features of EBP, and examines one school of social work's efforts to implement an evidence-based clinical practice curriculum. It is important that clinicians be aware of current developments in relation to evidence-based clinical education and practice as these will likely significantly shape the face of social work direct practice in the coming years.
Morphological and Spatio‐Temporal Mismatches Shape a Neotropical Savanna Plant‐Hummingbird Network

Complex networks of species interactions might be determined by species traits but also by simple chance meetings governed by species abundances. Although the idea that species traits structure mutualistic networks is appealing, most studies have found abundance to be a major structuring mechanism underlying interaction frequencies. With a well‐resolved plant–hummingbird interaction network from the Neotropical savanna in Brazil, we asked whether species morphology, phenology, nectar availability and habitat occupancy and/or abundance best predicted the frequency of interactions. For this, we constructed interaction probability matrices and compared them to the observed plant‐hummingbird matrix through a likelihood approach. Furthermore, a recently proposed modularity algorithm for weighted bipartite networks was employed to evaluate whether these factors also scale‐up to the formation of modules in the network. Interaction frequencies were best predicted by species morphology, phenology and habitat occupancy, while species abundances and nectar availability performed poorly. The plant–hummingbird network was modular, and modules were associated to morphological specialization and habitat occupancy. Our findings highlight the importance of traits as determinants of interaction frequencies and network structure, corroborating the results of a previous study on a plant–hummingbird network from the Brazilian Atlantic Forest. Thus, we propose that traits matter more in tropical plant–hummingbird networks than in less specialized systems. To test the generality of this hypothesis, future research could employ geographic or taxonomic cross‐system comparisons contrasting networks with known differences in level of specialization.
Design of an Ultraprecise 127-MW/3- $\mu {\mathrm{ s}}$  Solid-State Modulator With Split-Core Transformer

This paper presents the design of an ultraprecise 127-MW/3-μs solid-state modulator with split-core transformer. The modulator consists of a power supply, 12 pulse generator modules with active core reset, and a split-core transformer with six cores. In addition, an LC bouncer could be used to compensate the droop of the pulse. This paper includes the design and analysis of the pulse transformer. A volume minimal transformer is investigated for different load capacitances to investigate the achievable rise time and the parameters which can be used to adjust the damping. In addition, the influence of the pulse transformer on the synchronization of the switches is investigated using an enhanced reluctance model. In addition, an LC bouncer circuit is investigated. A multiobjective optimization is performed which shows the required energy of the bouncer for a certain pulse ripple. The flat-top ripple of the presented modulator can be reduced to 0.2%. Because the bouncer degrades the flat-top stability, the bouncer is not implemented. Measurements of the overall system include short-circuit measurements and flat-top stability measurements. They show that the modulator is shortcircuit capable. Furthermore, the flat-top stability is determined to be less than 10 ppm at an output voltage of 360 kV.
DATA MINING TOOLS IN SUPPORT OF SOFTWARE TESTING

The aim of this thesis was to find data mining tools to support the software testing process, specifically the endurance test result evaluation of IP Multimedia Subsystem applications. In order to improve the test result evaluation process based on the data from the previous test results, classification and anomaly detection algorithms have been applied. Supervised classification algorithms have been applied using the test result annotation of software testers. The correctness of annotation was assumed in case of this approach. Unsupervised anomaly detection algorithms have been applied in order to be able to identify the anomalous test results without relying on the annotation. Two state-of-the-art models, the supervised Extreme Gradient Boosting and the unsupervised Isolation Forest, have proved to perform well, they offer a reliable solution to the proposed data mining task. This thesis covers the endurance test result evaluation only, but because of the similarity between the different performance tests, the achieved results could be generalised. Further optimisation of the suggested methods and testing them in real-life situation may be part of future work.
Multisensor TDOA estimation in a multipath propagation environment using the EM algorithm

The expectation-maximization (EM) algorithm is presented as a means of performing passive, high-resolution, intersensor time difference of arrival (TDOA) estimation in the presence of correlated multipath interference and noise. The approach presented here assumes that the signal can be represented as a bandlimited complex Gaussian process, but is otherwise unknown. Within the EM algorithm, a conditional mean estimate of the transmitted signal spectrum is generated and used to determine the direct-path and multipath delays and complex amplitudes associated with each received signal. The delay/amplitude estimator takes the form of nonlinear least-squares optimization problem. The structure of the algorithm is described and its performance demonstrated through simulation.
P0-18 Forward-Looking IVUS Imaging Using a Dual-Annular Ring CMUT Array: Experimental Results

This paper presents the experimental results on forward-looking intravascular ultrasound (FL-IVUS) using dual- annular-ring CMUT arrays. The array has a diameter of 1mm including bondpads which consists of separate, concentric 24 transmit and 32 receive ring arrays built on the same silicon substrate. This configuration has the potential for independent optimization of each array and uses the silicon area more effectively without any drawback. For imaging experiments, we designed and constructed a custom integrated circuit using a standard 0.5mum CMOS process for data acquisition. A sample pulse-echo signal received from the oil-air interface (plane reflector) at 6 mm had a center frequency of 11 MHz with 95*% fractional 6-dB bandwidth. The measured SNR of the echo was 24 dB with no averaging. B-scan image of a wire-phantom was generated to test the resolution.