Miracle-dz/UniFAR-FTUs huggingface dataset:
Customized and Geolocated TV Channels about The Way of Saint James

—The technical and procedural state of the art in video distribution and computer-mediated collaboration is mature enough to revisit the traditional television concept. The evolution of the state of the art made possible the concept of personal television, understood as viewers configuring what they wish to watch assisted by a smart recommendation system that proposes content adapted to their personal profile. We introduce a personalized interactive service platform intended to enhance the experience of completing the Way of Saint James. This platform can be accessed using devices like TV sets, mobile terminals or personal computers, and it is technologically supported by a blend of interactive TV, mobile communications, geolocation and semantic recommendation technologies. This proposal enhances the online provision of multi-technology services, the final users’ experience by providing accurate, personalized and geolocated multimedia content on the Way of Saint James as well as the promotion of tourism initiatives related to the Way, a key aspect in the promotion of Galice and Spain as touristic destinations.
Implementing Importance Sampling in the Least-Squares Monte Carlo Approach for American Options

We illustrate how importance sampling can be implemented in the Least-Squares Monte-Carlo approach (LSM) introduced by Longsta and Schwartz (2001). The fact that the LSM estimates the optimal stopping rule, gives way to the application of a change of measure to accelerate the simulation. An Accelerated Least-Squares (ALSM) estimator is presented and compared with the straight forward LSM. The rate of convergence of this estimator is empirically studied as a function of the chosen change of measure. An algorithm to optimize the choice of the change of measure is discussed.
Data Mining Method using Clustering Mechanisms and Feature assortment for efficient content categorization

- Data mining manages the way toward finding data from data. With the wide accessibility of data there are different applications and requirements for data mining. Data can be of any sort specifically message, pictures, recordings and some more. This work concentrates on characterization of content data utilizing a semi-regulated grouping calculation. The principle issue in any data mining assignment is the treatment of gigantic data. Immense dimensionality does not demonstrate more data rather it might incorporate irregularities and commotions. To make the data predictable powerful pre-preparing strategies are finished. Notwithstanding this element choice system chooses valuable highlights and evacuate superfluous ones along these lines making the data significant for mining. A semi managed bunching calculation TESC was utilized as a part of this investigation. It was then changed by actualizing a component determination strategy, record recurrence thresholding by which the tremendous dimensionality issue was tended to. The proposed framework along these lines beats the current strategy. Tests were led on Reuters-21578 which portrayed better execution with lessened time many-sided quality.
Annotation of Images in Multimedia Caption Using Attentation Based Model

: An image is a projection of a 3D scene into a 2D projection plane. Mean aim is to generate the captions automatically for an image is one of a task for understanding the scene. These is one of the primary goal of a computer vision. In this paper, an attention based model that automatically describes the content of images is introduced. And describe how we can train this model in a deterministic manner using standard back propagation techniques. Through visualization we show how the model is able to automatically learn to fix its objects while generating the corresponding words in the output sequence. And validate the use of attention with state-of-the-art performance on MS-CoCo dataset.
Statistical methodology and software to analyse oscillatory signals with applications to biology

: Many biological processes, such as cell cycle, circadian clock, menstrual cycles, are governed by oscillatory systems consisting of numerous components that exhibit rhythmic patterns over time. It is not always easy to identify such rhythmic components. For example, it is a challenging problem to identify circadian genes in a given tissue using time-course gene expression data. There is a great potential for misclassifying non-rhythmic as rhythmic genes and vice versa. This has been a problem of considerable interest in recent years. In this article we develop a constrained inference based methodology called Order Restricted Inference for Oscillatory Systems (ORIOS) to detect rhythmic signals. Instead of using mathematical functions (e.g. sinusoidal) to describe shape of rhythmic signals, ORIOS uses mathematical inequalities. Consequently, it is robust and not limited by the biologist’s choice of the mathematical model. We studied the performance of ORIOS using simulated as well as real data obtained from mouse liver, pituitary gland and data from NIH3T3, U2OS cell lines. Our results suggest that, for a broad collection of patterns of gene expression, ORIOS has substantially higher power to detect true rhythmic genes in comparison to some popular methods, while also declaring substantially fewer non-rhythmic genes as rhythmic. A user friendly code implemented in R language can be down-loaded from yolandalarriba.wixsite. com/myresearchsite/ software-1 . Reference
Digitally Enabled Social Innovation: A Case Study of Community Empowerment in Rural China

Digitally Enabled Social Innovation (DESI) has generated a variety of important social benefits for communities across the globe. Yet, despite its importance in contemporary society, our review of the literature indicates that the concept has not been studied to a significant degree to date. To address this gap, this study seeks to address the research question: how do communities self-organize to achieve DESI? Based on a pilot case study of Daiji village, one of the most successful Taobao Villages in rural China, a preliminary process model of the attainment of DESI is presented in this research-in-progress paper. More specifically, our pilot study reveals that that the process of achieving DESI is contingent on a mechanism of bricolage, which consists of four steps: Recognition, Preparation, Recombination and Governance. Through the four steps, digital repertoires are formed and enacted for the attainment of DESI.
State Space Reconstruction for On-Line Model Checking with UPPAAL

—On-line system veriﬁcation requires the efﬁcient reconstruction of the state space a model checker generates. This paper proposes an approach to reconstruct the current state of models of real-time systems, implements it in the Uppsala and Aalborg model checker (UPPAAL) and thus renders on-line model checking in UPPAAL possible. On-line model-checking can be employed if parameters of models need to be adjusted to real-world values in case models are inaccurate. Applications include closed-loop patient monitoring and care taking as patient models commonly fail to accurately model all interactions in the human body and thus cannot provide good long-term estimates to ensure the patient’s safety. We exploit use-deﬁnition chains in state space transformations to reduce the amount of reconstruction transformations. During testing the method reduced the amount of transformations by 42% on average over all experiments.
Title: Assessing capacity to social distance and neighborhood-level health disparities during the COVID-19 pandemic

: The COVID-19 pandemic has yielded disproportionate impacts on communities of color in New York City (NYC). Researchers have noted that social disadvantage may result in limited capacity to socially distance, and consequent disparities. Here, we investigate the role of neighborhood social disadvantage on the ability to socially distance, infections, and mortality. We combine Census Bureau and NYC open data with SARS-CoV-2 testing data using supervised dimensionality-reduction with Bayesian Weighted Quantile Sums regression. The result is a ZIP code-level index with relative weights for social factors facilitating infection risk. We find a positive association between neighborhood social disadvantage and infections, adjusting for the number of tests administered. Neighborhood infection risk is also associated with capacity to socially isolate, as measured by NYC subway data. Finally, infection risk is associated with COVID-19-related mortality. These analyses support that differences in capacity to socially isolate is a credible pathway between disadvantage and COVID-19 disparities.
Effects of NAT2 Polymorphism on Lung Cancer Risk, and the Interaction Between Smoking and NAT2: A Meta-analysis

Lung cancer is the most common cancer in the world, and cancer death is mainly caused by lung cancer. At present, the etiology and pathogenesis of lung cancer are not clear. N-acetyltransferase 2 (NAT2) is an enzyme found in the lungs, colon, breast, prostate, and liver. NAT2 is polymorphic and can metabolize carcinogens from tobacco smoke. At present, many studies have explored the effects of NAT2 polymorphism on lung cancer, but we found inconsistent results. PRISMA:Preferred Systematic Reviews and Meta-analysis.
THE TRANSNATIONAL OR No. 2013-010 IGINS OF CONSTITUTIO EVIDENCE FROM A GLOBAL DATA SET ON CONSTITUTIONAL RI By

Constitutions are commonly described as national pr oducts shaped by domestic politics. This paper deve lops and empirically tests a different hypothesis, which is that constitutions are also shaped by transnational influence, or “diffusion”. Constitutional rights can diffuse thro ugh four mechanisms: coercion, competition, learnin g and acculturation. To test diffusion, we traced the his torical documents of all post-WWII constitutions an d documented the presence of 108 constitutional rights. Using a sample of these rights in 180 countries between 194 8 and 2001, we estimate a spatial lag model to explain their adopt ion. Our results show that countries follow the cho i es of their former colonizer, countries with the same legal ori gin, the same religion, the same former colonizer, and the same aid donor. We also find that diffusion explains onl y 3 percent of the variation in adoption. However, when a country adopts its first constitution, diffusion is much stronger and expla ins 46 percent of the variation.
Transdiagnostic Behavior Therapy (TBT) for Generalized Anxiety Disorder

views in article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government. There are no conflicts of interest to disclose. Abstract Generalized anxiety disorder (GAD) is a highly prevalent disorder that has a number of overlapping symptoms with and is frequently comorbid with other affective disorders. Despite its prevalence, the evidence-based therapies (EBTs) for GAD have lagged behind the EBTs for the other affective disorders. The newly developed transdiagnostic psychotherapies may be well suited to the highly overlapping and comorbid presentations of GAD. The present case study involves a veteran with GAD receiving Transdiagnostic Behavior Therapy (TBT), a transdiagnostic behavioral intervention designed for veterans with affective disorders, but has yet to be investigated in GAD, a disorder with a significant cognitive component. The veteran case completed 8 sessions of TBT. Significant symptom improvements were evidenced at post-treatment assessment and sustained at follow-up. The present case study provides very preliminary evidence to suggest that transdiagnostic EBTs, such as TBT, may be a potentially effective treatment
A reference model to promote performance development by focusing on capability improvement

by analyzing the capability or the maturity of NPD process areas. Despite this, authors who advocate models like CMMI have not presented data by which a clear relation between the improvements based on their models and increases in process area capabilities is proven. Does improved capability enhance the performance of product development? Is a more capable NPD better than another less capable one? This paper presents a research involving measurements of performance indices after improvements of NPD capabilities based on a reference model. The reference model application took place over a 2-year period during which the researcher was engaged in action research involving all the people associated with product development in a company that designs mechatronic products. After the model application, the NPD performance was evaluated and some factors were found to have improved in comparison to the previous situation. The measurements were based on interviews and express the interviewees’ perceptions of improvement, since the company does not have a structured system for measuring performance indices. The interviewees were product design engineers, functional managers and assembly workers. The questions followed a general closed format, Abstract: Business process capability can be understood as the ability of the process to maintain its repeatability in different instances. While maturity models determine the evolutionary improvement of a business process as a whole and are usually known as staged models, the concept of capability implies analyzing the process to define areas that can become the object of local improvement actions. This concept is more appropriate to the implementation of continuous improvement, and from the business point of view, it is a powerful concept since process improvement can be aligned with opportunities for improvement determined by the market in which the company acts. A new product development (NPD) reference model was designed whereby improvement actions are based on process areas and their levels of capability. The application of this model enabled us to realize that reference models can promote performance development by focusing on activities which increase process areas capabilities.
A Study Regarding Human Evacuation in the Case of a Fire Originated from Building Designed for Sport Activities

The aim of this paper is to analyse human evacuation from a building designed for sport activities by means of engineering techniques to approach fire safety. This case study is based on the assumption of starting a fire in a storage room located near the main evacuation route of the building. The spread of smoke and hot gases inside the building was simulated using a Computational Fluid Dynamics model of fire-driven fluid flow. The movement of people was fully coupled with the fire simulation using the Helbing social model to describe the human movement and behavior in case of fire. The European guidelines have been followed for the heat release rate of the fire and for the pre-movement time for humans.
SHARP: A SPATIALLY HIGHER-ORDER, RELATIVISTIC PARTICLE-IN-CELL CODE

Numerical heating in particle-in-cell (PIC) codes currently precludes the accurate simulation of cold, relativistic plasma over long periods, severely limiting their applications in astrophysical environments. We present a spatially higher order accurate relativistic PIC algorithm in one spatial dimension which conserves charge and momentum exactly. We utilize the smoothness implied by the usage of higher order interpolation functions to achieve a spatially higher order accurate algorithm (up to 5th order). We validate our algorithm against several test problems – thermal stability of stationary plasma, stability of linear plasma waves, and two-stream instability in the relativistic and non-relativistic regimes. Comparing our simulations to exact solutions of the dispersion relations, we demonstrate that SHARP can quantitatively reproduce important kinetic features of the linear regime. Our simulations have a superior ability to control energy non-conservation and avoid numerical heating in comparison to common second order schemes. We provide a natural deﬁnition for convergence of a general PIC algorithm: the complement of physical modes captured by the simulation, i.e., lie above the Poisson noise, must grow commensurately with the resolution. This implies that it is necessary to simultaneously increase the number of particles per cell and decrease the cell size. We demonstrate that traditional ways for testing for convergence fail, leading to plateauing of the energy error. This new PIC code enables to faithfully study the long-term evolution of plasma problems that require absolute control of the energy and momentum conservation.
Audio-visual content analysis in P2P: the SAPIR approach

Content based search in audio-visual collections requires media speciﬁc analysis for extracting low level features to be efﬁciently indexed and searched. We present the SAPIR media framework for analyzing digital content and representing the extracted features in a common schema. The framework contains splitters of compound objects to simple objects to deal with complex media like videos, us-ing image and speech analyzers. The extracted features are then merged into a common representation. We report usage of this framework in the SAPIR demo
Flux monitoring hard X-ray optics in a single electrode configuration

To explore possibilities for X-ray flux monitoring on optical elements electrical responses of silicon and diamond single crystals and that of an X-ray mirror were studied under exposure to hard X-rays in a single electrode configuration in ambient air. To introduce flux monitoring as a non-invasive capability a platinum electrode was deposited on a small unexposed portion of the entrance surface of the crystals while for the X-ray mirror the entire mirror surface served as an electrode. It was found that the electrical responses are affected by photoemission and photoionization of the surrounding air. The influence of these factors was quantified using estimations of total electron yield and the ionization current. It is shown that both phenomena can be used for the non-invasive monitoring of hard X-ray flux on the optical elements. Relevant limits of applicability such as detection sensitivity and charge collection efficiency are identified and discussed.
Sensing Building Structure Using UWB Radios for Disaster Recovery

This thesis studies the problem of estimating the interior structure of a collapsed building using embedded Ultra-Wideband (UWB) radios as sensors. The two major sensing problems needed to build the mapping system are determining wall type and wall orientation. We develop sensing algorithms that determine (1) loadbearing wall composition, thickness, and location and (2) wall position within the indoor cavity. We use extensive experimentation and measurement to develop those algorithms. In order to identify wall types and locations, our research approach uses Received Signal Strength (RSS) measurement between pairs of UWB radios. We create an extensive database of UWB signal propagation data through various wall types and thicknesses. Once the database is built, fingerprinting algorithms are developed which determine the best match between measurement data and database information. For wall mapping, we use measurement of Time of Arrival (ToA) and Angle of Arrival (AoA) between pairs of radios in the same cavity. Using this data and a novel algorithm, we demonstrate how to determine wall material type, thickness, location, and the topology of the wall. Our research methodology utilizes experimental measurements to create the database of signal propagation through different wall materials. The work also
Measuring UID smuggling in the wild

This work presents a systematic study of UID smuggling, an emerging tracking technique that is designed to evade browsers' privacy protections. Browsers are increasingly attempting to prevent cross-site tracking by partitioning the storage where trackers store user identifiers (UIDs). UID smuggling allows trackers to synchronize UIDs across sites by inserting UIDs into users' navigation requests. Trackers can thus regain the ability to aggregate users' activities and behaviors across sites, in defiance of browser protections. In this work, we introduce CrumbCruncher, a system for measuring UID smuggling in the wild by crawling the Web. Crumb-Cruncher provides several improvements over prior work on identifying UIDs and measuring tracking via Web crawling, including in distinguishing UIDs from session IDs, handling dynamic Web content, and synchronizing multiple crawlers. We use CrumbCruncher to measure the frequency of UID smuggling on the Web, and find that UID smuggling is present on more than eight percent of all navigations that we made. Furthermore, we perform an analysis of the entities involved in UID smuggling, and discuss their methods and possible motivations. We discuss how our findings can be used to protect users from UID smuggling, and release both our complete dataset and our measurement pipeline to aid in protection efforts.
Eﬃcient instruction and data caching for high-performance low-power embedded systems

Although multi-threading processors can increase the performance of embedded systems with a minimum overhead, fetching instructions from multiple threads each cycle also increases the pressure on the instruction cache, potentially harming the performance/consumption ratio. Instruction caches are responsible of a high percentage of the total energy consumption of the chip, which for battery-powered embedded devices becomes a critical issue. A direct way to reduce the energy consumption of the ﬁrst level instruction cache is to decrease its size and associativity. However, demanding applications, and specially applications with several threads running together, might suﬀer a dramatic performance slow down, or even increase the total energy consumption of the cache hierarchy, due to the extra misses incurred. In this work we introduce iLP-NUCA ( Instruction Light Power NUCA ), a new instruction cache that replaces the conventional second level cache (L2) and improves the Energy–Delay of the system. We provided iLP-NUCA with a new tree-based transport network-in-cache that reduces both the cache line service latency and the energy consumption, regarding the former LP-NUCA implementation. We modeled in our cycle-accurate simulation environment both conventional instruction hierarchies and iLP-NUCAs. Our experiments show that, running SPEC CPU2006, iLP-NUCA, in comparison with a state–of–the–art high performance conventional cache hierarchy (three cache levels, dedicated L1 and L2, shared L3), performs better and consumes less energy. Furthermore, iLP-NUCA reaches the performance, on average, of a conventional instruction cache hierarchy implementing a double sized L1, independently of the number of threads. This translates into a reduction of the Energy–Delay product of 21%, 18%, and 11%, reaching 90%, 95%, and 99% of the ideal performance for 1, 2, and 4 threads, respectively. These results are consistent for the considered applications distribution, and bigger gains are in the most demanding applications (applications with high instruction cache requirements). Besides, we increase the performance of applications with several threads without being detrimental for any of them. The new transport topology reduces the average service latency of cache lines by 8%, and the energy consumption of its components by 20%.