Miracle-dz/UniFAR-FTUs huggingface dataset:
Lighting and Graphics Effects for Real-Time Visualization of the Universe

This work has been performed at SCISS AB, a company situated in Norrk oping and whose business lies in developing platforms for graphics visualization. SCISS's main software product, UniView, is a fully interactive system allowing the user to explore all parts of the observable universe, from rocks on the surface of a planet to galaxies and quasars in outer space. It is used mainly for astronomical and scientic presentation.The aim of this work has been to enhance the visual appearance of lighting eects in the solar system, which has included implementing atmospheric eects for planets, shadow casting and an enhanced representation of the sun. We have managed to implement a visually convincing atmosphere applicable to all of the planets in the solar system. The atmospheric eects can be viewed from space as well as from the surface of a planet and allow for a seamless transition between the two locations. The atmosphere simulates the eects of day and night, sunrise and sunset, and gives important depth cues through the eect of aerial perspective.Combining the atmospheric eects with an algorithm for rendering accurate soft shadows for spherical objects and a sun that varies in size with visibility has enabled the visualization of the phenomena of solar and lunar eclipses. This feature can be watched from space, where the shape of the shadow becomes apparent and can be studied, as well as from the planet's surface, where one can experience the darkening of the sky as the moon slowly obscures the sun and then observe the corona of the sun around the dark moon. All this can be run at interactive frame rates on ATI and Nvidia graphics cards using shader model 2.0 or above.
Have Consumption Risks in the G7 Countries Become Diversified

This paper studies the dynamics of international consumption risk sharing among the G7 countries. Based on the dynamic conditional correlation model due to Engle (2002), we construct a time-varying, consumption-based measure of risk sharing. We find that although the exposure to country-specific shocks has declined in the G7 countries, with Japan being an exception, the evolution of risk sharing is rather heterogeneous across countries.
Velocity-matched distributed photodetectors with p-i-n photodiodes

We report on the first demonstration of velocity-matched distributed p-i-n photodetectors. A record high linear DC photocurrent of 45 mA has been achieved without suffering from thermal damage, thanks to the superior power handling capability of p-i-n photodiodes. The frequency response is flat from 1 GHz to 35 GHz.
DETECTION OF OVERLAPPING SPEECH IN MEETINGS USING SUPPORT VECTOR REGRESSION

A method of detecting overlapping speech in meetings is proposed in this paper. The eigenvalue distribution of the spatial correlation matrix reflects information on the relative power of sound sources. By applying Support Vector Regression to a set of input eigenvalues, the relative power of sources is estimated. Based on this, overlapping speech is then detected. The proposed method was evaluated using recorded meeting data, which showed that the detection rate increased by around 9% compared with the conventional Support Vector Machines approach.
Cyclooxygenase-2 and Cancer Treatment: Understanding the Risk Should Be Worth the Reward

Targeting the prostaglandin (PG) pathway is potentially a critical intervention for the prevention and treatment of cancer. Central to PG biosynthesis are two isoforms of cyclooxygenase (COX 1 and 2), which produce prostaglandin H2 (PGH2) from plasma membrane stores of fatty acids. COX-1 is constitutively expressed, whereas COX-2 is an inducible isoform upregulated in many cancers. Differences between COX-1 and COX-2 catalytic sites enabled development of selective inhibitors. Downstream of the COX enzymes, prostaglandin E2 synthase converts available PGH2 to prostaglandin E2 (PGE2), which can stimulate cancer progression. Significant research efforts are helping identify more selective targets and fully elucidate the downstream targets of prostaglandin E2-mediated oncogenesis. Nonetheless, as a key rate-limiting control point of PG biosynthesis, COX-2 continues to be an important anticancer target. As we embark upon a new era of individualized medicine, a better understanding of the individual risk and/or benefit involved in COX-2 selective targeting is rapidly evolving. This review endeavors to summarize developments in our understanding of COX-2 and its downstream targets as vital areas of anticancer research and to provide the current status of an exciting aspect of molecular medicine. Clin Cancer Res; 16(5); 1384–90
Política 2.0 - Um estudo da utilização das redes sociais na pré-campanha presidencial brasileira de 2014

The study was developed in order to analyze qualitatively and quantitatively the use of social networks for pre-candidates for the presidency of Brazil. Analyzes of all posts in the analyzed profiles of the two largest social networks in number of users in Brazil, Facebook and Twitter, during the first quarter of the election year 2014 were made. Besides the three main pre-presidential candidates, Dilma Rousseff, Eduardo Neves Campos and Aecio Neves, the main subjects classified as forming opinions of pre-candidates, such as Lula and Marina Silva were analyzed. All postings were analyzed for their content and the topic discussed, along with the level of interaction with the users of the networks, either through comments, shares and likes. For this study a questionnaire with professionals who have contributed together with the theory scholars have to define what would be a good use of social networks and a questionnaire in which the professionals evaluated the profiles of the individuals studied by BCEI model was also performed.
Cultural Differences in Opportunity Cost Consideration

Two studies were conducted to investigate cultural differences in opportunity cost consideration between Chinese and Euro-Canadians. Opportunity cost is defined as the cost of a benefit that must be forgone in order to pursue a better alternative (Becker et al., 1974). In both studies, participants read about hypothetical purchase scenarios, and then decided whether they would buy a certain product. Opportunity cost consideration was measured in two ways: (1) participants' thoughts pertaining to other (nonfocal) products while making decisions; (2) participants' decisions not to buy a focal product (Study 1) or a more expensive product (Study 2). Across both indexes, we found that after controlling for individual difference variables and amount of pocket money, Chinese participants in China considered financial opportunity cost more than Euro-Canadians in Study 1. Similar results were observed in Study 2 when comparing Chinese in Canada with Euro-Canadians However, the cultural effect on opportunity cost consideration was confounded by family income in Study 2. Implications for resource management, limitations of the current research and directions for future research are discussed.
Two-dimensional gravitation and sine-Gordon solitons.

Some aspects of two-dimensional gravity coupled to matter fields, especially to the sine-Gordon model, are examined. General properties and boundary conditions of possible soliton solutions are considered. Analytical soliton solutions are discovered and the structure of the induced space-time geometry is discussed. These solutions have interesting features and may serve as a starting point for further investigations.
PKS B1545-321: bow shocks of a relativistic jet?

Sensitive, high-resolution images of the double-double radio galaxy PKS B 1545-321 reveal detailed structure, which we interpret in light of previous work on the interaction of restarted jets with pre-existing relict cocoons. We have also examined the spectral and polarization properties of the source, the colour distribution in the optical host and the environment of this galaxy in order to understand its physical evolution. We propose that the restarted jets generate narrow bow shocks and that the inner lobes are a mixture of cocoon plasma re-accelerated at the bow shock and new jet material re-accelerated at the termination shock. The dynamics of the restarted jets implies that their hotspots advance at mildly relativistic speeds with external Mach numbers of at least 5. The existence of supersonic hotspot Mach numbers and bright inner lobes is the result of entrainment causing a reduction in the sound speed of the pre-existing cocoon. The interruption to jet activity in PKS B1545-321 has been brief - lasting less than a few per cent of the lifetime ∼(0.3-2) x 10 8 yr of the giant radio source. The host galaxy is located at the boundary of a large-scale filamentary structure, and shows blue patches in colour distribution indicative of a recent merger, which may have triggered the Mpc-scale radio galaxy.
Face detection based on pso and neural network

This paper presents a novel method to search face candidate regions in color images. First, a skin-color model is used to get the skin regions. Then, particle swarm optimization (PSO) is utilized for searching face candidate regions, which can save time and eliminate small noises. Experimental results show that this searching method is super to the conventional method which scans the whole image pixel by pixel. Finally, BP neural network is used to verify the face. The output error formula is modified to make the neural network converge more quickly. Bootstrap method is utilized to choose the training samples for the network, which reduces the correlation between samples and improves the detection effects. This approach is robust and can achieve high detection rate when detecting frontal faces, a little rotated and profile faces. In addition, it can detect faces with different size, expression, as well as having glasses and beard.
The Origins of Statutory Producer Control Legislation in New Zealand Agriculture 1914-1925

This thesis investigates the origins of statutory producer control that emerged out of the Board of Trade (Wool Industry) Regulations 1921, The Meat Export Control Act, 1921-22 and The Dairy Produce Export Control Act, 1923. Most histories have traced the formation of statutory producer organisations to the economic conditions that prevailed during the British Government's 1915-1921 bulk purchase agreement with New Zealand known as the 'Imperial Commandeer' and the commodity price slump that marked the Commandeer's conclusion. Analysis of agricultural income series and output data suggest that the popular view of a 'boom' and 'slump' cycle is overplayed. This thesis argues that net real farm incomes remained relatively static during the Commandeer while output contracted. The slump cycle beginning in 1920/21 was particularly severe given the interaction of key demand and supply variables. The contemporary argument for statutory intervention may have been based on misconceptions in some cases, yet when the economic arguments are evaluated a strong case emerges. The central role played by W.F. Massey and his Reform Party Government is also important to an understanding of how this legislation came about.
cDNA Cloning of the Basement Membrane Chondroitin Sulfate Proteoglycan Core Protein, Bamacan: A Five Domain Structure Including Coiled-Coil Motifs

Basement membranes contain several proteoglycans, and those bearing heparan sulfate glycosaminoglycans such as perlecan and agrin usually predominate. Most mammalian basement membranes also contain chondroitin sulfate, and a core protein, bamacan, has been partially characterized. We have now obtained cDNA clones encoding the entire bamacan core protein of M r = 138 kD, which reveal a five domain, head-rod-tail configuration. The head and tail are potentially globular, while the central large rod probably forms coiled-coil structures, with one large central and several very short interruptions. This molecular architecture is novel for an extracellular matrix molecule, but it resembles that of a group of intracellular proteins, including some proposed to stabilize the mitotic chromosome scaffold. We have previously proposed a similar stabilizing role for bamacan in the basement membrane matrix. The protein sequence has low overall homology, apart from very small NH2- and COOH-terminal motifs. At the junctions between the distal globular domains and the coiled-coil regions lie glycosylation sites, with up to three N-linked oligosaccharides and probably three chondroitin chains. Three other Ser-Gly dipeptides are unfavorable for substitution. Fusion protein antibodies stained basement membranes in a pattern commensurate with bamacan, and they also Western blotted bamacan core protein from rat L2 cell cultures. The antibodies could also specifically immunoprecipitate an in vitro transcription/translation product from a full-length bamacan cDNA. The unusual structure of this proteoglycan is indicative of specific functional roles in basement membrane physiology, commensurate with its distinct expression in development and changes in disease models.
What every intensivist should know about prognostic scoring systems and risk-adjusted mortality

In the practice of medicine, multiple scores and prognostic systems have been developed to quantify disease severity, assess prognosis, and guide therapeutic interventions. The Glasgow Coma Scale, the Model for End Stage Liver Disease (MELD), and the American Society of Anesthesiologists Physical Status Classification are but a few examples. Heterogeneity in the practice of intensive care medicine, the high cost of care, the very real chance of death in intensive care units (ICUs), and the desire to make comparisons between ICUs have prompted the development and refinement of ICU-specific prognostic systems. (1-7) Scoring systems may be generic or disease-specific, may be used for cohort analysis or individual patient assessment, can be based on physiologic derangement or resource allocation, and may be simple or complex. In critical care practice, two major categories of scoring systems exist. Organ failure scores (e.g., the Sequential Organ Failure Assessment, SOFA) describe a patient’s physiologic derangements by organ system to provide an objective assessment of the extent and severity of organ dysfunction. The other major category is the severity-of-illness prognostic model, a discussion of which will occupy the majority of this commentary. These systems (e.g., the Acute Physiology and Chronic Health Evaluation, APACHE) use physiologic data, pre-morbid conditions and information regarding the nature of the current illness to predict the likelihood of mortality.
Features Multi-Cycle Single Event Transient Fault Security Aware MO-DSE for Single loop CDFGs in HLS

Multi-cycle single event transient (SET) fault security aware multi-objective (MO)-DSE for single loop CDFGs during behavioral synthesis has not received significant attention in the literature yet. Solving the aforesaid problem in the context of Control Data Flow Graph (CDFG) is non-trivial as it involves simultaneous generation of an optimal combination of multi-cycle fault secured datapath and loop unrolling factor satisfying conflicting user constraints (such as hardware area and delay). This paper solves the aforementioned problems with the following specific contributions: (a) a novel multi-cycle SET fault security aware MO-DSE methodology that explores an optimal combination of transient fault secured double modular redundant (DMR) datapath configuration and loop UF for CDFG (b) multi-cycle fault secured conditions (c) maintains trade-off between hardware area and delay as user constraints during exploration process. Finally, the proposed approach when tested on standard benchmarks yielded optimal solution which minimizes the fitness function and satisfies user constraints, besides achieving significantly reduced cost (improved quality) of the final solution when compared to a recent fault secured approach.
Dense CNN Learning with Equivalent Mappings

Large receptive field and dense prediction are both important for achieving high accuracy in pixel labeling tasks such as semantic segmentation. These two properties, however, contradict with each other. A pooling layer (with stride 2) quadruples the receptive field size but reduces the number of predictions to 25\%. Some existing methods lead to dense predictions using computations that are not equivalent to the original model. In this paper, we propose the equivalent convolution (eConv) and equivalent pooling (ePool) layers, leading to predictions that are both dense and equivalent to the baseline CNN model. Dense prediction models learned using eConv and ePool can transfer the baseline CNN's parameters as a starting point, and can inverse transfer the learned parameters in a dense model back to the original one, which has both fast testing speed and high accuracy. The proposed eConv and ePool layers have achieved higher accuracy than baseline CNN in various tasks, including semantic segmentation, object localization, image categorization and apparent age estimation, not only in those tasks requiring dense pixel labeling.
Meander Line Antennas

SkyCross' state-of-the-art antennas are smaller and can be embedded directly within the handset. In addition, they feature better gain and improved efficiency, resulting in longer battery life than other handsets currently available on the market today. Furthermore, MLA technology allows engineers to design ultra broadband antennas capable of operating at multiple frequencies and in a variety of modes.
Animating Sand as a Surface Flow

This paper presents a new efficient method for animating sand and other granular materials in 3D scenes. Our method couples 2D and 3D simulation techniques in a physically based way. A surface flow model of granular material-the BCRE model-is used to separate sand piles into two layers: a surface flowing layer and a static layer. The surface layer is simulated using discrete element method (DEM) to capture the detailed flowing behavior, while the invisible and static layer is represented by a height field for efficiency. The matter transfer between the two layers is modeled based on the surface flow equations through a particle interface. We demonstrate that our method leads to significant improvements of computational efficiency compared to standard discrete element method, without sacrificing the rich 3D animation effects.
Eosinophilic gastroenteritis in basset hound dog

An 1-year-old male Basset Hound dog was evaluated for chronic intermittent vomiting, hematemesis, and melena which had been ongoing for several months. The histopathologic examination revealed that all layers of the small intestine were thicker than normal. The lamina propria of the mucosa, including the villi, exhibited a prominent cellular infiltrate which consisted of numerous eosinophils and an increased numbers of plasma cells in addition to the normal lymphocytic component. The muscularis mucosa was invaded, and in some places disrupted, by eosinophils, which also infiltrated into the submucosa and muscularis propria. This report describes the pathological findings of a case of eosinophilic gastroenteritis (EG) in a dog.
Efficient Tracing of Cold Code via Bias-Free Sampling

Bugs often lurk in code that is infrequently executed (i.e., cold code), so testing and debugging requires tracing such code. Alas, the location of cold code is generally not known a priori and, by definition, cold code is elusive during execution. Thus, programs either incur unnecessary runtime overhead to "catch" cold code, or they must employ sampling, in which case many executions are required to sample the cold code even once. We introduce a technique called bias-free sampling (BfS), in which the machine instructions of a dynamic execution are sampled independently of their execution frequency by using breakpoints. The BfS overhead is therefore independent of a program's runtime behavior and is fully predictable: it is merely a function of program size. BfS operates directly on binaries. We present the theory and implementation of BfS for both managed and unmanaged code, as well as both kernel and user mode. We ran BfS on a total of 679 programs (all Windows system binaries, Z3, SPECint suite, and on several C# benchmarks), and BfS incurred performance overheads of just 1-6%.
Function and Dendrite Morphology 5 Signaling Complex Regulates Septin MAPK-Activated Protein Kinase − [ MAPK 6 ] ) ( Mitogen-Activated Protein Kinase 6 The Extracellular Signal-Regulated Kinase 3

Published Ahead of Print 16 April 2012. 10.1128/MCB.06633-11. 2012, 32(13):2467. DOI: Mol. Cell. Biol. Sylvain Meloche, Matthias Gaestel and Alexey Kotlyarov Menon, Ruth Simon, Benjamin Turgeon, Stefan Britsch, Frank Brand, Stefanie Schumacher, Shashi Kant, Manoj B. Function and Dendrite Morphology 5 Signaling Complex Regulates Septin MAPK-Activated Protein Kinase − [MAPK6]) (Mitogen-Activated Protein Kinase 6 The Extracellular Signal-Regulated Kinase 3
Solutions of Trigonometric KZ Equations satisfy Dynamical Difference Equations

The trigonometric KZ equations associated to a Lie algebra \g depend on a parameter \lambda in \h where \h is a Cartan subalgebra of \g. A system of dynamical difference equations with respect to \lambda compatible with the KZ equations is introduced in Tarasov and Varchenko. We prove that the standard hypergeometric solutions of the trigonometric KZ equations associated to sl_N also satisfy the dynamical difference equations.
Predictive modelling approach to data mining for forecasting electricity consumption

This paper presents an approach of data mining technique to predict electricity demand of a geographical region based on the meteorological conditions. The value prediction predictive data mining technique is implemented with the Artificial Neural Networks. The values of the factors such as temperature, humidity and public holiday on which electricity consumption depends and the daily consumption values constitute the data. Data mining operations are performed on this historical data to form a prediction model which is capable of predicting daily consumption provided the meteorological parameters. The steps of knowledge discovery of data process are implemented. The data is preprocessed and fed to neural network for training it. The trained neural network is used to predict the electricity demand for the given meteorological conditions.
“Natural Regulators”: NK Cells as Modulators of T Cell Immunity

Natural killer (NK) cells are known as frontline responders capable of rapidly mediating a response upon encountering transformed or infected cells. Recent findings indicate that NK cells, in addition to acting as innate effectors, can also regulate adaptive immune responses. Here, we review recent studies on the immunoregulatory function of NK cells with a specific focus on their ability to affect the generation of early, as well as long-term antiviral T cell responses, and their role in modulating immune pathology and disease. In addition, we summarize the current knowledge of the factors governing regulatory NK cell responses and discuss origin, tissue specificity, and open questions about the classification of regulatory NK cells as classical NK cells versus group 1 innate lymphoid cells.
REMPARK: When AI and technology meet Parkinson Disease assessment

REMPARK project objective is to develop a personal health system with closed loop detection, response and action capabilities for the assessment and possible management of Parkinson's Disease (PD) patients. The project is developing a wearable monitoring system able to identify in real time the motor status of the PD patients and evaluating ON/OFF/Dyskinesia status with a very high sensitivity and specificity degree (>80%) in operation during ambulatory conditions. Identification of the motor status is based on the knowledge included in a large database obtained with the collaboration of a number of volunteer PD patients, according a specific defined protocol in ambulatory conditions. Artificial Intelligence (AI) methods are applied to the database information for the automatic detection of motor symptoms.