Miracle-dz/UniFAR-FTUs huggingface dataset:
Considerations of quality in British television production: A Bayesian statistical analysis

This paper examines the responses of 450 British male and female television production workers about their perceptions about the changes in the quality of television programmes. The British television industry was heavily restructured in the 1980s and 1990s with many production workers having their contracts changed from unlimited staff posts to freelance or self employed contracts. The paper is able to explore whether individuals’ perceptions of changes in quality were related to their own labour market experiences and the signals for quality workmanship that operate in the labour market, described in the theoretical literature related to efficiency wages. The paper used Bayesian statistics to explore these relationships and found confirmation for the expectation that below and above market wages rates, as wel l as other indicators of quality labour and personal quality experiences were related to the perceptions about the components of quality of programmes.
Future Internet Architecture : A Service-Oriented Approach

The Internet as we know it today is a success story in itself. There has always been an answer to all requirements, no matter whether caused by new applications or technologies. Applications for example demand confidentiality and QoS, management demand protection and control whereas technological progress demands integration of wireless and high speed networks. But over time the formerly simple and clear Internet architecture became a patchwork of new balconies, detours, wormholes, workarounds and bypasses.
Development of a Biped Locomotor with the Double Stage Linear Actuator

Previously, the realization of ascending and descending stairs and landing pattern modification control by WL-16RII were reported. However, it is difficult to use the landing pattern modification control when ascending stairs, because of the insufficient stroke of linear actuators. In this report, the design of a double stage linear actuator with a larger expansion and contraction ratio is described. The new linear actuators developed have been installed in WL-16RII, and several experiments were conducted. Through experiments involving walking with a wide step length and ascending a stair with landing pattern modification control, the effectiveness of the actuator developed is confirmed.
PERsuading nuclear receptors to dance the circadian rhythm

The recurring light/dark cycle that has a period length of about 24 hours has been internalized in various organisms in the form of a circadian clock. This clock allows a precise orchestration of biochemical and physiological processes in the body thus improving performance. Recently, we found that the clock component PERIOD2 (PER2) can coordinate transcriptional regulation of metabolic, physiological, or behavioral pathways by interacting with nuclear receptors. PER2 appears to act as co-regulator of nuclear receptors linking clock function and transcriptional regulation at the level of protein-protein interactions. Here, we provide additional evidence for modulation of nuclear receptor dependent transcription by PER2 underscoring the broad implication of our finding. Taken together, our findings provide a base for the understanding of various disorders including mood disorders that have their roots in a temporal deregulation of basic metabolic processes.
New asymptotic giant branch models for a range of metallicities

We present a new grid of stellar model calculations for stars on the Asymptotic Giant Branch between 1.0 and 6.0 M� . Our grid consists of 10 chemical mixtures with 5 metallicities between Z = 0.0005 and Z = 0.04, and with both solar-like and α-element enhanced metal ratios for each metallicity. We treat consistently the carbon-enhancement of the stellar envelopes by using opacity tables with varying C/O-ratio and by employing theoretical mass loss rates for carbon stars. The low temperature opacities have been calculated specifically for this project. For oxygen stars we use an empirical mass loss formalism. The third dredge-up is naturally obtained by including convective overshooting. Our models reach effective temperatures in agreement with earlier synthetic models, which included approximative carbon-enriched molecular opacities and show good agreement with empirically determined carbonstar lifetimes. A fraction of the models could be followed into the post-AGB phase, for which we provide models in a mass range supplementing previous post-AGB calculations. Our grid constitutes the most extensive set of AGB-models, calculated with the latest physical input data and treating carbon-enhancement due to the third dredge-up most consistently.
Friends and Enemies: A Model of Signed Network Formation

I propose a game of signed network formation, where agents make friends to coerce payoffs from enemies with fewer friends. The model accounts for the interplay between friendship and enmity. Nash equilibrium configurations are such that, either everyone is friends with everyone, or agents can be partitioned into sets of different size, where agents within the same set are friends and agents in different sets are enemies. These results mirror findings of a large body of work on signed networks in sociology, social psychology, international relations and applied physics.
Speaker identification based on EMD

This paper proposes a novel approach which combines empirical mode decomposition (EMD), short-time analysis and support vector machine (SVM) for text-independent speaker recognition. Short-time analysis is used for the result of empirical mode decomposition to extract speech features of speakers, and then the support vector machine are used for speaker recognition. Experiments demonstrate that the proposed approach outperforms GMM based traditional methods, with the increased recognition rate from 92.5% to 95.1%.
Clustering-Classification Based Prediction of Stock Market Future Prediction

Stock market values keeps on changing day by day, so it is very difficult to predict the future value of the market. Although there are various techniques implemented for the prediction of stock market values, but the predicted values are not very accurate and error rate is more. Hence an efficient technique is implemented for the prediction of the stock market values using hybrid combinatorial method of clustering and classification. The dataset is taken from shanghai stock exchange market and is first clustered using K-means clustering algorithm and these clustered values are classified using horizontal partition decision tree. Keywords—Stock market, K-mean, Prediction.
A Wearable Airbag to Prevent Fall Injuries

We have developed a wearable airbag that incorporates a fall-detection system that uses both acceleration and angular velocity signals to trigger inflation of the airbag. The fall-detection algorithm was devised using a thresholding technique with an accelerometer and gyro sensor. Sixteen subjects mimicked falls, and their acceleration waveforms were monitored. Then, we developed a fall-detection algorithm that could detect signals 300 ms before the fall. This signal was used as a trigger to inflate the airbag to a capacity of 2.4 L. Although the proposed system can help to prevent fall-related injuries, further development is needed to miniaturize the inflation system.
The Personality Emotional Structure In Interior Design

In today's word, people on indoor function and aesthetic demand to meet at the same time, more and more pursuit space design build atmosphere of psychological sense of fit and satisfaction. As interior design elements such as form, color, texture, light, they can make the space character visualization, and mental feeling transformation of environment influence. This paper discusses and finds out the mapping of character emotion structure in interior design and its adverse effect.
Analysis-by-synthesis dissolve detection

The paper presents a novel, real-time, minimal-latency technique for dissolve detection which handles the widely varying camera techniques, expertise, and overall video quality seen in amateur, semi-professional, and professional video footage. We achieve 88% recall and 93% precision for dissolve detection. In contrast, on the same data set, at a similar recall rate (87%), DCD (double chromatic difference) has more than 3 times the number of false positives, giving a precision of only 81% for dissolve detection.
A Reconfigurable Architecture for Stereo-Assisted Detection of Point-Features for Robot Mapping

A hardware-friendly procedure is presented for the extraction of point-features from stereo image pairs for the purpose of real-time robot motion estimation and 3-D environmental mapping. The procedure is implemented in reconfigurable hardware and is developed as a set of custom HDL library components ready for integration in a system-on-a-programmable-chip. The main hardware stages are a stereo accelerator, a left and right image corner detector and a stage performing left-right consistency check. For the stereo-processor stage we have implemented and tested a SAD-based component for local area-matching and a global-matching component based on a Maximum-Likelihood dynamic programming technique. The system includes a Nios II processor for data control and a USB 2.0 interface for host communication. Resource usage and 3D-mapping results are reported for different versions of the reconfigurable system.
Fast 3D object recognition using multiple color coded illumination

The acquisition and measurement of two- and three-dimensional contours of objects are important tasks in modern production processes and quality control. Specially, nontactile methods like optical triangulation and the digital image processing are becoming more and more important. Color image processing in combination with color coded illumination could be used to realize new methods of nontactile 3D-object ranging. Two of these methods are the color-coded triangulation and the color-coded phase-shift method. We use a combination of these two methods to realize a fast 3D-object ranging with unambiguous results. The color-coded phase-shift method is able to reach a good spatial resolution, but the measured range values are ambiguous. Using color-coded triangulation an unambiguous three-dimensional image could be achieved, but compared to the color-coded phase-shift method, the spatial resolution is poor. Since both methods are able to generate a 3D-object description by processing only a single RGB-image, it is possible to combine these two methods.
- 1-Non-Photorealism in 3 D Geovirtual Environments

We describe how non-photorealistic 3D rendering, a new class of rendering techniques in the scope of real-time 3D computer graphics, can be applied to 3D geovirtual environments. Non-photorealism promises a number of solutions for effective and comprising interactive information display in cartography and GIS. We discuss inherent limitations of real-time computer graphics due to its strong dedication to photorealism for a long time. We explain a nonphotorealistic 3D rendering technique for 3D city and landscape models as important classes of 3D geovirtual environments. The technique is based on stylized edges, edge-enhancement, toneshading, procedural texturing, and shadowing used to render common building blocks such as building models, vegetation models, and ground-space models in an illustrative, expressive graphics style in real-time. We also outline future directions in non-photorealism and its applications to geovisualization.
The role of pragmatic problem-solving argumentation in plenary debate in the European Parliament

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Towards an Information-Centric Electronic Society

User Interface conventions generally force users to learn how the application works rather than allowing users to interact intuitively. Often, the application is designed from the perspective of the underlying technology rather than highlighting the offered functionality in an intuitive manner. Well known examples include, the VCR and the answering machine where power users are restricted to engineers and users that likes to read manuals. This issue isn't restricted just to the household devices; similar shortcomings can be found in other electronic devices. The usefulness of the best software can be hampered by inadequate or badly designed interfaces. Questions that are discussed in this paper are: The existence or creation of general principles to support intuitive interaction with devices and applications. The use of possibly outdated metaphors for the creation of user interfaces that potentially restricts presentation or information, and interaction with information. Presented in this paper is a design methodology that addresses these issues by focusing on the properties of information rather than the properties of user interfaces. This approach has the potential to enables designs that can cater for every possible user and different type devices.
Bose-Einstein Condensation in Microgravity

Going Down the Tube Two pillars of modern physics are quantum mechanics and general relativity. So far, both have remained apart with no quantum mechanical description of gravity available. Van Zoest et al. (p. 1540; see the Perspective by Nussenzveig and Barata) present work with a macroscopic quantum mechanical system—a Bose-Einstein condensate (BEC) of rubidium atoms in which the cloud of atoms is cooled into a collective quantum state—in microgravity. By dropping the BEC down a 146-meter-long drop chamber and monitoring the expansion of the quantum gas under these microgravity conditions, the authors provide a proof-of-principle demonstration of a technique that can probe the boundary of quantum mechanics and general relativity and perhaps offer the opportunity to reconcile the two experimentally. Studies of atomic quantum states in free-fall conditions may provide ways to test predictions of general relativity. Albert Einstein’s insight that it is impossible to distinguish a local experiment in a “freely falling elevator” from one in free space led to the development of the theory of general relativity. The wave nature of matter manifests itself in a striking way in Bose-Einstein condensates, where millions of atoms lose their identity and can be described by a single macroscopic wave function. We combine these two topics and report the preparation and observation of a Bose-Einstein condensate during free fall in a 146-meter-tall evacuated drop tower. During the expansion over 1 second, the atoms form a giant coherent matter wave that is delocalized on a millimeter scale, which represents a promising source for matter-wave interferometry to test the universality of free fall with quantum matter.
Gap junctional regulatory mechanisms in the AII amacrine cell of the rabbit retina

Gap junctions are commonplace in retina, often between cells of the same morphological type, but sometimes linking different cell types. The strength of coupling between cells derives from the properties of the connexins, but also is regulated by the intracellular environment of each cell. We measured the relative coupling of two different gap junctions made by AII amacrine cells of the rabbit retina. Permeability to the tracer Neurobiotin was measured at different concentrations of the neuromodulators dopamine, nitric oxide, or cyclic adenosine monophosphate (cAMP) analogs. Diffusion coefficients were calculated separately for the gap junctions between pairs of AII amacrine cells and for those connecting AII amacrine cells with ON cone bipolar cells. Increased dopamine caused diffusion rates to decline more rapidly across the AII–AII gap junctions than across the AII–bipolar cell gap junctions. The rate of decline at these sites was well fit by a model proposing that dopamine modulates two independent gates in AII–AII channels, but only a single gate on the AII side of the AII–bipolar channel. However, a membrane-permeant cAMP agonist modulated both types of channel equally. Therefore, the major regulator of channel closure in this network is the local cAMP concentration within each cell, as regulated by dopamine, rather than different cAMP sensitivity of their respective gates. In contrast, nitric oxide preferentially reduced AII–bipolar cell permeabilities. Coupling from AII amacrine cells to the different bipolar cell subtypes was differentially affected by dopamine, indicating that light adaptation acting via dopamine release alters network coupling properties in multiple ways.
Exposure Stress Induces Reversible Corneal Graft Opacity in Recipients With Herpes Simplex Virus-1 Infections

Purpose Most of the inflammation in murine herpes simplex virus type 1 (HSV-1)-induced stromal keratitis (HSK) is due to exposure stress resulting from loss of corneal nerves and blink reflex. Corneal grafts often fail when placed on corneal beds with a history of HSK. We asked if corneal exposure contributes to the severe pathology of corneal grafts on HSV-1–infected corneal beds. Methods Herpes simplex virus type 1–infected corneas were tested for blink reflex. Opacity and vascularization were monitored in allogeneic and syngeneic corneal grafts that were transplanted to corneal beds with no blink reflex or to those that retained blink reflex in at least one quadrant following infection. Results Retention of any level of blink reflex significantly reduced inflammation in HSV-1–infected corneas. Corneal allografts placed on HSV-1–infected beds lacking corneal blink reflex developed opacity faster and more frequently than those placed on infected beds that partially or completely retained blink reflex. Corneal grafts placed on infected corneal beds with no blink reflex rapidly became opaque to a level that would be considered rejection. However, protecting these grafts from exposure by tarsorrhaphy prevented or reversed the opacity in both syngeneic and allogenic grafts. Conclusions Exposure due to HSV-1–engendered hypoesthesia causes rapid, severe, persistent, but reversible opacification of both allogeneic and syngeneic corneal grafts. This opacity should not be interpreted as immunologic rejection. Exposure stress may contribute to the high rate of corneal graft pathology in patients with recurrent HSK.
ifightdepression- selvhjelpsverktøy for personer med depresjon

I 2017 vil det internettbaserte selvhjelpsverktoyet iFightDepression bli tilgjengelig i Norge. Verktoyet retter seg mot personer med milde og moderate depresjoner og er en integrert del av en helhetlig flernivaintervensjon med mal om a na fram med helsehjelp til en storre andel av personer med depresjon og suicidal atferd. I 2017 vil det internettbaserte selvhjelpsverktoyet iFightDepression bli tilgjengelig i Norge. Verktoyet retter seg mot personer med milde og moderate depresjoner og er en integrert del av en helhetlig flernivaintervensjon med mal om a na fram med helsehjelp til en storre andel av personer med depresjon og suicidal atferd.
Services innovation patterns : the case of Italian B 2 B distribution firms

Companies are facing some hard questions about the unavoidable need to find sustainable means of competition that enable them to face the challenges posed by new market players and dynamics. These challenges are made all the more difficult by the tendency of companies operating in a wide variety of sectors to follow and reproduce old patterns and approaches. The evolution path, however, is towards a reflexive modernization (Beck, Giddens, Lash, 1994) characterised by a new form of intelligence that we could define as “tertiary”. This modernization, more closely related to humans, their abilities and their interpersonal networks, is promoting the exploration of what is new and powering the engine of development (Rullani et al. 2005). This process, which highlights the role and weight of tertiary intelligence as a catalyst for the creation of economic value, is gradually shifting attention from the material transformation of goods to the immaterial transformation of knowledge and relations. The tertiary sector, in this perspective, takes on added importance, especially with regard to the awareness of its increasingly vital role in the development mechanisms of advanced economies. Our analysis intends to outline the patterns that typify the development mechanisms through the analysis of a series of concrete cases. This working paper, in fact, is a contribution to Research Project “Tertiary sector in the knowledgebased economy” sponsored by CFMT (Centro Formazione Management del Terziario) and led by Enzo Rullani (Ca’ Foscari University, Venice). The need to outline the various innovation paths in the service sector has led to a period of field analysis involving the examination – by means of in-depth interviews with the top management – 50 companies operating in seven macro-areas: retail, B2B distribution, tourism and travel, culture and entertainment, wellness, KIBS (knowledge intensive business services) and logistics. The analysis has revealed several common features that represent a global development matrix for the sector and at the same time some specific features of each macro-cluster that highlight original interpretations of the phenomenon. In particular, an in-depth analysis of the specific features of the B2B distribution sector points out some interesting results. The reasons behind the analysis of this area lie in the increasing disintermediation, which tends to progressively reduce the role of these players, in the consequent reduction in margins in traditional business and in growing demand for service with higher added value. The analysis highlights how, in a sector like B2B distribution in Italy, there are experience involving the reflexive modernization based on tertiary intelligence. The aim is to identify possible innovation patterns able to develop business models which can assume the role of development activators in companies operating in service industries and in particular in this specific sector.