Miracle-dz/UniFAR-FTUs huggingface dataset:
One solution of a RESTful API for a cloud based DTV content provider

In this paper we propose a solution of a RESTful application programming interface (API) for a cloud based digital television (DTV) content provider. The system described is responsible for the acquisition of data from the digital television transport stream, retrieving of the related content from the Internet and its exposure to the clients. The focus of the paper is on the REST architectural style and how it affects the overall design of the system.
Breathing imagery moderates vibrato rate

This study investigated acoustic change in singers’ vibrato following imagery and non-imagery tasks. One task, involving breathing imagery, produced significantly more moderate and regular vibrato rates. Another task, involving imagery unrelated to breath function, produced erratic but significantly slower vibrato rates. A non-imagery task related to breath function produced no significant changes. Sound pressure level results indicated that dynamic changes were not responsible for the changes observed in vibrato. The findings of this study indicate that breathing imagery regulates singers’ vibrato in a manner consistent with that of a more proficient, warmed-up voice.
A Superficial Exposé of Data Warehousing : An Intrinsic Component of Modern Day Business Intelligence

This paper aims to give a superficial exposé of Data Warehousing technology as a possible effective tool for organizations Business Intelligence. The key components of a Data Warehouse will be discussed as they offer a part of the core requirements for successful Business Intelligence deployment in an organization. Universally accepted Data Warehousing and Business Intelligence Models will be discussed and highlighted in order to ascertain the effectiveness of Data Warehousing as a tool for efficient Business Intelligence deployment. Traditionally, data warehouses are designed to collect and organize historical business data so it can be properly analyzed to enable management make optimal business decisions. Effective Business Intelligence can help companies gain a comprehensive understanding of the factors affecting their business, enabling them to make informed decisions for the competitive edge (Gutierrez, 2007)
Wintering Snowy Owls Bubo scandiacus integrate plumage colour, behaviour and their environment to maximize efficacy of visual displays

For a comprehensive understanding of the evolution of animal signals, it is necessary to understand how the performance of visual displays is maximized to get the most possible attention from receivers. We assessed whether the white plumage of Snowy Owls Bubo scandiacus functioned as a social signal and, if so, how coloration and behavioural adaptations enhance signal efficacy. Signalling theory predicts that: (1) the colour properties of plumage should vary across the body, with the brightest parts being those involved in visual display performance; (2) specific displays calling attention to or enhancing detection or conspicuousness to conspecifics should be evident; and (3) location of the signallers should be such that signal efficacy is optimized. All three predictions were supported. The brightest areas of the plumage (particularly the face, throat and upper breast) were always unspotted, and white is particularly effective in open habitats characteristic of this species. The birds displayed a specific posture and orientated toward the sun preferentially on sunny days, and Owls with the whitest (least spotted) plumage displayed more and signalled more frequently from perches on the ground, where albedo from the snow may enhance the visual display. Snowy Owls integrate coloration, behaviour and environment through habitat selection to maximize the efficacy of their visual displays.
Asymmetric polar localization dynamics of the serine chemoreceptor protein Tsr in Escherichia coli

The spatial location of proteins in living cells can be critical for their function. For example, the E. coli chemotaxis machinery is localized to the cell poles. Here we describe the polar localization of the serine chemoreceptor Tsr using a strain synthesizing a fluorescent Tsr-Venus fusion at a low level from a single-copy chromosomal construct. Using photobleaching and imaging during recovery by new synthesis, we observed distinct asymmetry between a bright (old) pole and a dim (new) pole. The old pole was shown to be a more stable cluster and to recover after photobleaching faster, which is consistent with the hypothesis that newly synthesized Tsr proteins are inserted directly at or near the old pole. The new pole was shown to be a less stable cluster and to exchange proteins freely with highly mobile Tsr-Venus proteins diffusing in the membrane. We propose that the new pole arises from molecules escaping from the old pole and diffusing to the new pole where a more stable cluster forms over time. Our localization imaging data support a model in which a nascent new pole forms prior to stable cluster formation.
New possibilities of human-computer interaction in integrated video games for mobile phones, TV and Internet

Advances in the capabilities of both mobile devices and digital televisions have created new possibilities for human-computer interaction, which can be used for developing informal TV-centric games. Those possibilities were tested by creating a game that can be played on a TV, while a television program is showing, which can be controlled through mobile phones. Both the TV and the mobile phones are connected via a wireless network and the results of the game can be shared on social networks. The game performance was evaluated by measuring the responsiveness to user actions and a survey was conducted among a group of test users.
Title A high-sensitivity 135GHz millimeter-wave imager by compact split-ring-resonator in 65-nm CMOS

A high-sensitivity 135 GHz millimeter-wave imager is demonstrated in 65 nm CMOS by on-chip metamaterial resonator: a differential transmission-line (T-line) loaded with split-ring-resonator (DTL-SRR). Due to sharp stop-band introduced by the metamaterial load, high-Q oscillatory amplification can be achieved with high sensitivity when utilizing DTL-SRR as quench-controlled oscillator to provide regenerative detection. The developed 135 GHz mm-wave imager pixel has a compact core chip area of 0.0085 mm with measured power consumption of 6.2 mW, sensitivity of -76.8 dBm, noise figure of 9.7 dB, and noise equivalent power of 0.9 fW/√HZ Hz. Millimeter-wave images has been demonstrated with millimeter-wave imager integrated with antenna array.
Creating a Verb Synonym Lexicon Based on a Parallel Corpus

This paper presents the ﬁrst ﬁndings of our recently started project of building a new lexical resource called CzEngClass, which consists of bilingual verbal synonym groups. In order to create such a resource, we explore semantic ‘equivalence’ of verb senses (across different verb lexemes) in a bilingual (Czech-English) setting by using translational context of real-world texts in a parallel, richly annotated dependency corpus. When grouping semantically equivalent verb senses into classes of synonyms, we focus on valency (arguments as deep dependents with morphosyntactic features relevant for surface dependencies) and its mapping to a set of semantic “roles” for verb arguments, common within one class. We argue that the existence of core argument mappings and certain adjunct mappings to a common set of semantic roles is a suitable criterion for a reasonable verb synonymy deﬁnition, possibly accompanied with additional contextual restrictions. By mid-2018, the ﬁrst version of the lexicon called CzEngClass will be publicly available.
Generalized classification of PV modules by simplified single-diode models

This paper proposes a theoretical study supporting the use of simplified single-diode photovoltaic (PV) models to accurately reproduce the behaviour of PV generators. In particular, a newly defined parameter is introduced, which allows to classify PV modules according to the possibility to neglect either the series- or the shunt resistance in the circuit model. On such a basis, equations allowing to identify the nonneglected resistance and the other unknown model parameters, are derived. The resolution of such equations is non-iterative, therefore, the proposed approach is suitable for on-line parameter identification, for example for supporting a maximum power point tracking circuit. The accuracy of the proposed method is assessed by practical cases of PV model parameter extraction.
Requirements degradation for the creation of a first prototype

The requirements engineering process is typically executed, irrespective of the process model chosen, for the final commercially viable system. The system requirements generated are for a system deployed and used in its final form and function. However, the first prototype that is generated is typically representative of a minimum viable technology, and represents a degraded set of the initial system requirements specification. Typically, a first prototype is used as a technology demonstrator, and its failure or success will determine the continuation of the project, with success triggering the allocation of additional financial and personal resources. This paper explores techniques for requirements degradation that can be used to form the system requirements specification for the first prototype. A requirements Engineering methodology is proposed based upon a survey of literature. It takes into consideration the characteristics of the project, i.e. a market driven, technology implementation research project with limited budget and a flexible timeline executed in an academic environment. The techniques must take into cognizance the main risk items, and core requirements, that need to be demonstrated in the minimum viable technology to secure the future of the project. The degradation cannot undermine or jeopardize the future success of the commercially viable system in determining the subset of requirements for the minimum viable technology.
The Ethical Judgment of Private Club Senior Executives

ABSTRACT The purpose of this study is to investigate effects of working experience and organization size on ethical judgments on ethical issues among senior private club executives. Senior club executives at small and large private clubs were given five vignettes, representing ethical dilemmas in five categories of ethical behavior identified by previous researchers. They were asked to determine whether each issue was a question of ethics or not (N = 413). The multivariate analysis of variance results indicate that senior executives working in the large-sized club with more than 20 years’ hospitality working experience tend to make higher ethical judgments on ethical issues.
Synthesis of Reversible Circuits Using Conventional Hardware Description Languages

Hardware Description Languages (HDL) facilitate the design of complex circuits and allow for scalable synthesis. While rather established for conventional circuits, HDL-based design of reversible circuits is in its infancy. This motivates the question whether conventional HDLs can also be efficiently used for the design of reversible circuits. This work investigates this question and provides a basis towards a design flow that requires only little knowledge of reversible computation. This eases the acceptance of this non-conventional paradigm amongst designers and stakeholders.
Iris Recognition System Based On Morphological Bridged Canny Edge Detection and KNN Classifier

A biometric system provides automatic identification of a character based on a unique feature or attribute possessed by the creature. Iris recognition is breakdown as the most unfailing and accurate biometric identification scheme offered. Most practical iris recognition systems use original algorithms developed by Daugman, and these algorithms are competent to create perfect recognition rates but not includes time requirement in account and extremely suffered when pupil is illuminated with light intensity. Conversely, published results have usually been produced under favorable circumstances. So to build up generalized real time and efficient iris recognition system this work presents a number of serious modifications. This paper proposes a innovative iris recognition system which deals with, not merely the correction to the time constraint as well as deals with higher recognition efficiency requirement with a number of serious modifications in the conventional technique.
Impact of V2G/G2V technologies on Distributed Generation systems

The aim of this paper is to analyze the current status and implementation impact of V2G/G2V (Vehicle- to-Grid and Grid-to-Vehicle) technologies on Distributed Generation (DG) systems, illustrating requirements, benefits, challenges and strategies for interfaces of both individual vehicles and fleets. Two of the key aspects for the diffusion of these technologies are those related to batteries and charging systems. In this regards, activities of two research projects are described in the paper: the first project is about the behavior of commercial lithium-ion batteries and the second one concerns the implementation of a high power fast recharge station. Some experimental results are also presented.
Radiotherapy for Active Thyroid Eye Disease.

PURPOSE To critically review the published literature on orbital radiotherapy as a treatment modality for thyroid eye disease (TED). METHODS A systematic review and analysis of the relevant published literature was performed. RESULTS Thyroid eye disease is an autoimmune condition that is amenable to treatments that modulate the immune response, including orbital radiotherapy (ORT). Ideal candidates for ORT are patients in the early, active phase of TED with moderate to severe, or rapidly progressive, disease, including patients with significant motility deficits and compressive optic neuropathy. Patients with progressive strabismus may also benefit. Patients with mild or inactive disease will not benefit from ORT when compared with the natural history of the disease. Orbital radiotherapy should generally be used in conjunction with corticosteroid therapy, with response to corticosteroids demonstrating the immunomodulatory therapeutic potential of ORT. When treating TED-compressive optic neuropathy, ORT may help obviate the need for urgent surgical decompression, or postpone it until the stable, inactive phase of the disease. Orbital radiotherapy treatment doses should approach 20 Gy in most cases, but lower doses may be considered in younger patients without significant dysmotility. The safety profile of ORT is well established, and side effects are minimal in appropriately selected patients. CONCLUSIONS Radiotherapy is a safe and effective treatment for active TED in appropriately selected patients.
Improving Security of Traceable WhiteBox CPABE with TTP Access Control Dilu

Various encryption schemes have gained popularity for secure transmission of data. CPABE (Ciphertext Policy Attribute Based Encryption) is one among such schemes. The decryption rights are generated based on the attributes of user. Traceability is the property by which the malicious users who intentionally try to leak the data are traced. However it is difficult to find the actual user who leaked the key since there can be many people who share the same decryption rights. In this paper a trusted third party is introduced, which will act as the public auditor. If any malicious user claims to be innocent, then the third party checks and traces all the information transferred by that user.
Star forming regions linked to RCW78 and the discovery of a new IR bubble

Aims. With the aim of investigating the presence of molecular and dust clumps linked to two star forming regions identified in the expanding molecular envelope of the stellar wind bubble RCW 78, we analyzed the distribution of the molecular gas and cold dust. Methods. To accomplish this study we performed dust continuum observations at 870 μ ma nd 13 CO(2–1) line observations with the Atacama Pathfinder EXperiment (APEX) telescope, using the Large Apex BOlometer CAmera (LABOCA) and SHeFI-1 instruments, respectively, and analyzed Herschel images at 70, 160, 250, 350, and 500 μm. Results. These observations allowed us to identify cold dust clumps linked to region B (that we have named the southern clump) and region C (clumps 1 and 2), and an elongated filament. Molecular gas was clearly detected linked to the southern clump and the filament. The velocity of the molecular gas is compatible with the location of the dense gas in the expanding envelope of RCW 78. We estimate dust temperatures and total masses for the dust condensations from the emissions at different wavelengths in the far-IR and from the molecular line using local thermodynamic equilibrium and the virial theorem. Masses obtained through different methods agree within a factor of 2–6. Color–color diagrams and spectral energy distribution analysis of young stellar objects (YSOs) confirmed the presence of intermediate and low-mass YSOs in the dust regions, indicating that moderate star formation is present. In particular, a cluster of IR sources was identified inside the southern clump. The IRAC image at 8 μm revealed the existence of an infrared dust bubble of 16 �� in radius probably linked to the O-type star HD 117797 located at 4 kpc. The distribution of the near- and mid-IR emission indicate that warm dust is associated with the bubble.
Non-Gaussian Behavior of Some Commodities Prices Empirical Evidences in Brazilian Markets

Since 1960´s, when Mandelbrot showed that price time-series on some speculative markets have some characteristics that diverge from the normality implied by random walk model, many authors around the world have found evidences of what are now known as stylized facts of these markets: the non-Gaussian behavior, the volatility clustering, the long-term memory and “heavy or long tail” of price returns distribution. In this work the impact of non-normality on the finance engineering tools is showed. Next, evidences of this statistical stylized facts on some Brazilian commodity markets are searched for, using non-parametric normality tests to verify or reject the null Gaussian hypothesis and for independence (i.i.d.). The results found allow the rejection of the null hypothesis of normality and for i.i. d.
A Novel TAB Based Preemptive Multi-Hop Local Repair Algorithm for AODV in MANET

Maintaining the routing information for an infrastructure less network of MANET is considered as a complicated task. So many protocols deals with this routing updates like AODV, DSR, and TORA. During this route construction sometimes the route failure occurs & route repairing mechanism has to be initiated whenever it is required. Now this failed route has to be replaced before the loss of data. Considering AODV there are two approaches which deal with this link breakage. Link breaks between the routes can be handled either by reformation of new shortest route from the source to destination (Complete Source Repair), or intermediate route (Partial Local Route Repair) is formed. One of the key challenges in this context is that which one of the two is best and when to apply which of the two route repair strategies. In existing algorithm standard AODV uses a fixed hop count based threshold as a basis for deciding when to invoke Local Repair or Source Repair in case of a link break. The problem arises with this type of repairing mechanism is that the network is not clear that at which time what algorithms needs to be applied. So some condition has to be identified on the basis of which the decision can be taken. Also the decision must be pre-emptive so that the loss of data can be avoided before occurrence. This work proposes a novel Threshold Alarm Based Preemptive Route Repair Algorithm (TAB-PRRA) for Multi-Hop Local repair in AODV. It focuses on measuring those parameters which provides prior information (Preemptive) of link failure before its occurrence and also if the link break occurs that the network must know the time to start the route discovery.
Biomolecular electrostatics and solvation: a computational perspective

Abstract An understanding of molecular interactions is essential for insight into biological systems at the molecular scale. Among the various components of molecular interactions, electrostatics are of special importance because of their long-range nature and their influence on polar or charged molecules, including water, aqueous ions, proteins, nucleic acids, carbohydrates, and membrane lipids. In particular, robust models of electrostatic interactions are essential for understanding the solvation properties of biomolecules and the effects of solvation upon biomolecular folding, binding, enzyme catalysis, and dynamics. Electrostatics, therefore, are of central importance to understanding biomolecular structure and modeling interactions within and among biological molecules. This review discusses the solvation of biomolecules with a computational biophysics view toward describing the phenomenon. While our main focus lies on the computational aspect of the models, we provide an overview of the basic elements of biomolecular solvation (e.g. solvent structure, polarization, ion binding, and non-polar behavior) in order to provide a background to understand the different types of solvation models.
Public Value Management: A Case Study of Transitional Change in Disability Sector Reform in Western Australia

This paper contributes to the study of public value management (PVM). PVM is distinguished from other approaches to public administration in its focus on establishing community networks and collaborative capacity building for the creation of public value. We explore PVM through a case study of a public–community sector partnership strategy called the positive behaviour framework (PBF), a state government initiative designed to transform services for people with disabilities. The development and implementation of the PBF is analysed via a transitional change or ‘sector awareness’ model. Each phase of the model is illustrated through ‘positive stories’ that depict key moments in the change process and in the activities that public sector managers employed to raise awareness, build capacity, and promote collaboration. We discuss the implications of the study for disability sector change management and for the further study of the PVM approach to public sector administration.
Comparative Analysis of Ellipsoidal Methods for Distributed Data Fusion

Progress in sensor and communication technology changed the paradigm of state estimation and data fusion from centralized architecture to distributed/decentralized architecture. These days, distributed state estimation and data fusion are widely explored in diverse fields of engineering and control due to its superior performance over the centralized one in terms of flexibility, robustness to failure and cost effectiveness in infrastructure and communication. However, distributed architectures are accompanied by their own requirements and limitations, especially, cross-correlation among sensor estimates. Due to double counting and common process noise, it is very difficult to exactly estimate the cross-correlation among sensor estimates. Consequently, fusion methodologies seek for a suboptimal fused mean and covariance of multiple data sources under unknown correlation. In this paper, we present a comparative analysis of the Ellipsoidal Methods for distributed data fusion under unknown correlation. These methods aim to provide a suboptimal fused result without the need of actual cross-correlation. We aim at providing readers with a unifying view out of individual methodologies by presenting a formal analysis of their implications. Several directions for future research are also highlighted.