Miracle-dz/UniFAR-FTUs huggingface dataset:
Desarrollo de la materia Proyectos. Grado de Comunicación Audiovisual. Universitat de Barcelona

espanolEl objetivo del presente trabajo es presentar la propuesta de desarrollo de la materia Proyectos del Grado de Comunicacion Audiovisual de la Universidad de Barcelona, que incluye las asignaturas Proyectos I y Proyectos II. Ambas asignaturas son especialmente idoneas para trabajar las competencias transversales del grado, dado que el objetivo de la materia a la que pertenecen es integrar las competencias adquiridas en el conjunto de asignaturas cursadas por los alumnos hasta este momento, poniendo en relacion los diferente lenguajes (escrito, oral, audiovisual y multimedia). Todo esto permite que el estudiante adquiera una vision integral y transversal. El presente trabajo reflexiona sobre los mecanismos que permitan al profesorado disenar de forma colaborativa pautas y estrategias de ensenanzaaprendizaje; los modos de evaluacion de las competencias de estas asignaturas, y todos aquellos aspectos claves que deben recoger los planes docentes. Materias como la de Proyectos suponen un reto en la actividad docente, al requerir del trabajo interdisciplinar e integrador de las areas de conocimiento implicadas y de los docentes vinculados, al tiempo que facilitan la generacion de puentes entre el ambito academico y profesional. EnglishThe aim of this paper is to present the development of the unit Projects in the Audiovisual Communication Degree (University of Barcelona). This unit includes two subjects: Projects I and Projects II. Both subjects are especially suitable for working on generic skills of the Degree, since their goal is to integrate the skills acquired in all subjects taken by students before, linking different languages: written, oral, audiovisual and multimedia. This allows the student to acquire a comprehensive and holistic vision of the Degree. This paper focuses on the mechanisms that allow teachers to design collaboratively guidelines and strategies for teaching and learning; also, to design the ways of evaluating the skills developed by the students, and all those key aspects that must be incorporated into the teaching plans. Units such us Projects are a challenge in teaching, as they require interdisciplinary and integrative work. They also build bridges between the academic and professional area.
Segmentación 3D rápida aplicada a la detección de elementos ornamentales en nubes de puntos del patrimonio cultural

espanolEn este trabajo se presenta un procedimiento de segmentacion de datos 3D pertenecientes a obras del patrimonio cultural. El objetivo es, en primer lugar, que el algoritmo sea capaz de separar las zonas ornamentales de las no ornamentales y, en segundo lugar, que el procedimiento sea rapido. Para ello se ha propuesto un metodo que realiza la segmentacion en dos etapas, una primera en la que agrupa zonas en funcion de la pertenencia de los puntos a planos, y la segunda que usa tres caracteristicas que son usadas por el algoritmo k-medias para obtener la segmentacion definitiva. El procedimiento se ha probado en varias nubes de puntos 3D reales. EnglishThis paper presents a 3D data segmentation procedure belonging to cultural heritage works. The objective is, first of all, that the algorithm be able to separate the ornamental areas from the nonornamental ones and, secondly, that the procedure be quick. For this, a method has been proposed that performs segmentation in two stages, a first in which 3D points are grouped into zones according to whether they belong to the same plane or not, and thesecond that uses three characteristics that are used by the algorithm. k-means to obtain the definitive segmentation. The procedure has been tested on several real 3D point clouds.
How to Enable Electric Bus Adoption in Cities Worldwide

Electric buses could pioneer a new age of clean and efficient urban transport and put cities on track towards sustainability. However, electric bus adoption is not accelerating fast enough for the world to meet transport-related global climate objectives and help limit global temperature rise to below 2 degrees Celsius. The aim of this report is to fill in knowledge gaps and provide actionable guidance for transit agencies and bus operating entities to help them overcome the most common and debilitating barriers to electric bus adoption. It provides a step-by-step guidance to establish and achieve electric bus adoption targets using concrete and diverse real-world experiences. Transit agencies and bus operating entities are encouraged to maximize electric bus adoption targets based on local conditions and to develop a responsible strategy for implementation. They should be actively involved in planning and analysis; be serious about piloting and testing projects; and collaborate with city policymakers and other stakeholders to accelerate a responsible adoption of electric buses.
Análisis de Modelos Computacionales para Sistemas Embebidos

After a short summary about the principles of Hardware/Software Codesign (HSCo) for embedded systems, this paper considers an analysis of the software resources mostly used by the academic community with special emphasis on one of them (PeaCE). An example shows how to specify a system considering the computer models, specially the Data Flow formal model. The required characteristics are defined, with the periodic update of parameters and dynamic behavior of functional blocks. An application from the communication area is presented to show the advantages of the chosen system of HSCo. If can generate an efficient code (C and VHDL) very useful to be implemented on generic processors or FPGA, for rapid prototyping.
Formation and chemistry of the groundwater resource in the Mekong river delta, South Vietnam

Water is a vital natural resource for every nation. The life on Earth is possible only due to the existence of water on it. Although Vietnam is located in a tropical region, however, during the last decades, it has severely suffered from water shortage. During the dry season (from November till April), most of the reservoirs in the central part of the country were dried-up. Therefore, the farmers had to take their cattle far away from their villages for water. In the MKRD, the salt intrusion was observed very deep in the inland through the river system. The drinking water for the population in the MKRD is mostly abstracted from the groundwater sources. The demand for clean water has steadily increased, leading to the abstraction yield of groundwater in the region to be higher year by year. At present, the rate of groundwater abstraction from the MKRD is around 2.106 m3 a day [1].
Treatment for Depression with Chronic Neck Pain Completely Cured in 94.2% of Patients Following Neck Muscle Treatment

We report three patients with cervical neuromuscular syndrome (CNMS) who followed similar courses. Autonomic imbalance may occur following neck muscle pain, and a wide variety of somatic symptoms including headache and vertigo appear and a generalized poor condition may continue for long periods. If many such somatic symptoms persist for months to years, symptoms of depression are exacerbated. The patients end up in psychiatric clinics, where they are diagnosed with depression, but they do not respond to antidepressants. Thus, they continue to suffer for many years. These patients eventually were completely cured with the resolution of neck pain by neck muscle treatment, using two types of special low-frequency therapy equipment, far-infrared radiation and acupuncture. When treatment for the neck muscles is initiated, symptoms of depression are quickly relieved, and diverse somatic symptoms disappear one after another as neck muscle tension is gradually alleviated (the number of abnormal neck muscle checkpoints decreases). Such a course suggests that neck muscle tension and chronic pain are closely related to depression. Neck muscle-related depression due to CNMS clearly differs from psychiatric conditions such as major and bipolar depression. In patients with neck muscle-related depression, symptoms of depression are not accompanied by ungrounded anxiety, a sense of emptiness, apathy, or self-rejection. Neck muscle abnormalities leading to CNMS are caused by head injury, whiplash injury, and a prolonged forward-bent-posture due to using a personal computer, playing computer games, texting, and engaging in machine-paced work such as assembly-line operation.
Posture identification for evaluation of multi-party interaction

The goal of our study is to understand a user’s state in multi-party conversation. To realize the task, we need to estimate the state of user’s mind. There are many approaches to estimate the state: use of verbal information and non-varbal information such as posture and gesture. In this paper, we propose a method for posture estimation. Characteristics of our method are (1) use of a top-view image and (2) use of depth information. Using top-view images solves a problem of occlusion. Using depth information reduces mistakes for detection of a person area and is effective for extracting features. We apply seven features, such as depth histogram and body information to the Adaboost algorithm. Experimental results show the effectiveness of our method.
Suvremene metode prenatalne dijagnostike

Current methods used for prenatal diagnosis can be invasive or noninvasive. Common invasive techniques, like amniocentesis or chorionic villus biopsy, have been used for the last thirty years. During the last twenty years, extensive work in development of noninvasive techniques has been done. General goal of noninvasive methods is to be completely safe and available to all pregnant women. In this review, most commonly used techniques of prenatal diagnosis as well as recent developments in the field are being presented, especially possible application of analysis of cell free fetal DNA from maternal plasma.
Développement de technologies de fabrication de microélectrodes sur support microfluidique par des méthodes de lithographie douce

Le travail de these a consiste a developper des voies originales de microfabrication pour laconception d’electrodes qui pourront etre utilisees dans un biocapteur base sur unetransduction electrochimique. Une des perspectives etant de pouvoir integrer ce type decapteur dans un microsysteme analytique a base microfluidique, nous avons fait le choix duverre comme materiau de base. Par ailleurs, nous avons privilegie les technologies de« lithographie douce » au detriment de voies classiques telles que la photolithographie afin derendre inutile l’acces a des salles a environnement controle ou l’utilisation d’appareillagessophistiques.Lors de ce travail, nous avons plus particulierement travaille sur le developpement demethodes combinant la technique de microtamponnage et la metallisation chimique de typeautocatalytique (electroless). Cette metallisation necessitant des surfaces catalytiques pourfaire croitre la couche metallique, nous avons developpe des methodes de traitements desurface afin de rendre le substrat de base catalytique sur toute sa surface. La technique demicrotamponnage a ensuite ete utilisee afin de passiver les zones ou la metallisation n’est pasdesiree et cela a mene a des microstructures metalliques en surface du verre presentant peu oupas de defauts. Notre approche nous a conduit a utiliser plusieurs types de catalyseurs sous laforme de nanoparticules metalliques a base d’argent, d’or ou de palladium et nous avonsdiscute les differences entre les methodes basees sur ces differents catalyseurs.Une autre voie a consiste a graver de facon localisee des couches minces metalliquesuniformes en protegeant les zones ne devant pas etre gravees par la technique demicrotamponnage. Ceci a permis le developpement de deux voies originales demicrostructuration sur couches minces metalliques uniformes (d’une part le pelage selectif etd’autre part le procede a double inversion). Dans l’ensemble de nos travaux, des caracterisations d’extreme surface par les techniquesSEM, AFM, ToF-SIMS, XPS et de mouillabilite ont ete menees afin d’optimiser ledeveloppement des differents procedes.
Solving the kitchen benchmark using HCplan

We consider a dynamic robotic domain that consists of a bimanual mobile robot in a kitchen environment. The robot must prepare a meal for a couple by cleaning two glasses, cooking two cabbages (located in a bowl), and setting up the table. Objects can be cleaned by placing them in the dishwasher and cooked by placing them in the microwave. A cabbage must be cleaned before it can be cooked. All objects on the table must be clean. Finally, the robot can encounter object obstructions during manipulation, in which case it should take necessary actions to manipulate by picking the objects that obstruct the motion plan and placing them back to their original locations after manipulation to keep the kitchen tidy. Figure 1 depicts a snapshot of the kitchen benchmark.
Target-skyrmions and skyrmion clusters in nanowires of chiral magnets

In bulk non-centrosymmetric magnets the chiral Dzyaloshinskii-Moriya exchange stabilizes tubular skyrmions with a reversed magnetization in their centers. While the double-twist is favorable in the center of a skyrmion, it gives rise to an excess of the energy density at the outskirt. Therefore, magnetic anisotropies are required to make skyrmions more favorable than the conical spiral in bulk materials. Using Monte Carlo simulations, we show that in magnetic nanowires unusual skyrmions with a doubly twisted core and a number of concentric helicoidal undulations (target-skyrmions) are thermodynamically stable even in absence of single-ion anisotropies. Such skyrmions are free of magnetic charges and carry a non-integer skyrmion charge s . This state competes with clusters of s = 1 skyrmions. For very small radii, the target-skyrmion transforms into a skyrmion with s < 1, that resembles the vortex-like state stabilized by surface-induced anisotropies.
Great teaching: models and evaluation

What constitutes good teaching has been at the focus of theories of pedagogy for thousands of years. However, recent research (Coe, Aloisi, Higgins & Major, 2014; Kornell & Hausman, 2016; Duke, 2012; Harmer, 2014; Grant, Stronge & Xu, 2014; Strong, Gargani & Hacifazlioglu, 2011; Hamre, Goffin & Kraft­Sayre, 2009) suggests that this seemingly mature and well­researched concept needs to be re­examined in view of the burgeoning research in the field. Coe et al. (2014) propose that recent research into best teaching practices brings up questions about elements of good teaching and ways of measuring it. The issue of evaluating teaching attempts to answer these seemingly obvious ques­tions about what makes good teaching. This paper aims to address some of these questions. First, it examines the concepts of good teaching and the aspects which need to be considered in its evaluation. Next, it explores the frameworks deter­mining good teaching which are delineated for different research and/or institu­tional needs. Based on the evaluation of these frameworks, the paper proposes a model for a specific set of needs of evaluating teaching from a student perspec­tive at an Australian university.
Meat Adulteration at Khulna City of Bangladesh: A Criminological Analysis

Food is essential for every living being on earth. Food can be defined as `edible or potable substance (usually of animal or plant origin), consisting of nourishing and nutritive components such as carbohydrates, fats, proteins, essential mineral and vitamins, which (when ingested and assimilated through digestion) sustains life, generates energy, and provides growth, maintenance, and health of the body. [1]
A Smart Watchdog - Intruder Detection System

In todays world, Security is a matter of great concern. Security controls play a vital role in protecting resources from espionage, sabotage, damage and theft. Our proposed system is to develop a security system with improved facilities, which tries to eliminate the limitations posed by the existing security systems. The current manual security system depends mostly on human involvement, which is prone to error, and the security is concentrated only at the front door which requires subjects cooperation. To solve these issues we have proposed a Smart Watchdog System. The system watches the environment, and if there is a human activity, the system captures it. The system automatically detects faces of the individual from the activity using firmware. We have planned to maintain the database of authorised inmates and workers of a place and verifies of every individual arriver. This feature enables the system to automatically recognises the unauthorised users and gives an alert when it encounters entry of unauthorised users even without the human assistance. The system also detects the unauthorised entry in the mass. The entire system is planned to be ported to Raspberry-Pi based Embedded System supported with DC power back up. This method can be employed in ladies hostels as well as to the secured places like the data centre, atomic research centre and military where the unauthorised entry is restricted.
Automatically Identifying Animals Using Deep Learning

Having accurate, detailed, and upto-date information about wildlife location and behavior across broad geographic areas would revolutionize our ability to study, conserve, and manage species and ecosystems. Currently, such data are mostly gathered manually at great expense, and thus are sparsely and infrequently collected. Here we investigate the ability to automatically collect such data, which could transform many fields of biology, ecology, and zoology into big data sciences. In areas like an airportor the agricultural areas placed near the forest many animals destroy the crops or even attack on people therefore there is a need of system which detects the animal presence and gives warning about that in the view of safety purpose. In this project, we demonstrate that such data can be automatically extracted by deep neural networks (deep learning), which is a cutting-edge type of artificial intelligence. Thus,the aim is to train neural networks that automatically identifiesanimals.
Q-STAR + : A Perceptual Quality Model for Viewport-Based Immersive Video Streaming

Users typically wear the head mounted display (HMD) to navigate and enjoy the immersive video content. In practice, a viewport-based immersive video streaming strategy is intuitively preferred for constrained network bandwidth, but it still lacks of a theoretical framework to resolve this fundamental bandwidth-quality optimization problem. Therefore, in this work, we have developed an analytical model, so called “Q-STAR+”, to connect the perceptual quality of a compressed viewport video (viewed via wearing the HMD) with respect to its Spatial (frame size), Temporal (frame rate), and Amplitude (quantization) Resolutions (STAR). There are overall four parameters that can be easily extracted from the content itself. The complete model correlates well with the mean opinion scores (MOS) with a Pearson Correlation Coefficient (PCC) of 0.95, and a Spearman’s Rank Correlation Coefficient (SRCC) of 0.95, according to an independent validation test, yielding the stateof-the-art performance in comparison to those famous objective quality metrics (e.g., MS-SSIM [1], VIFP [2], FSIM [3], and VSI [4]). Together with the rate model, we could make the perceptual optimized viewport video streaming of immersive content analytical tractable, so as to maximize the visual quality subjectively under any given network bandwidth constraint.
Accelerating Database Systems Using FPGAs: A Survey

Database systems are key to a variety of applications, and FPGA-based accelerators have shown promise in supporting high-performance database systems. This survey presents a systematic review of research relating to accelerating analytical database systems using FPGAs. The review includes studies of database acceleration frameworks and accelerator implementations for various database operators. Finally, the survey includes some promising future technologies and discussion on the challenges to be addressed by the future research in this area.
Knowledge and implementation of the JNC VII guidelines for treatment of hypertension in the elderly by health care practitioners in northwest Ohio

Objective. The JNC VII guidelines were developed to decrease mortality rates among hypertensive patients. High blood pressure control in the elderly is still far from optimal near 34%. This study was designed to determine whether health care providers in Northwest Ohio adhere to the guidelines and how well hypertension is controlled in elderly patients. Methods. A multiple choice survey was sent out to MDs, DOs, NPs, and PAs in ten Northwest Ohio counties and responses were compared among the groups. The 163 returned surveys were evaluated using SPSS software. Results. Health care practitioners with more years in practice follow the JNC VII guidelines less closely than clinicians with less experience, yet these practitioners estimate that they have more elderly patients with controlled hypertension. Conclusion. All four groups follow the JNC VII guidelines equally and have similar rates of control. A more equal distribution of respondents will increase the accuracy of the results.
Q-Hermite polynomials chaos approximation of likelihood function based on q-Gaussian prior in Bayesian inversion

In real applications, the construction of prior and acceleration of sampling for posterior are usually two key points of Bayesian inversion algorithm for engineers. In this paper, q-analogy of Gaussian distribution, q-Gaussian distribution, is introduced as the prior of inverse problems. And an acceleration algorithm based on spectral likelihood approximation is discussed. We mainly focus on the convergence of the posterior distribution in the sense of Kullback-Leibler divergence when approximated likelihood function and truncated prior distribution are used. Moreover, the convergence in the sense of total variation and Hellinger metric is obtained. In the end two numerical examples are displayed.
The Value of Detours

The estimation of the value of georeferenced spaces is challenging because the value of a space depends on many factors such as recreation potential, sociability, cultural points of interest, etc. To account for these personal values, interviews and surveys can be conducted but this is costly and elaborate, and this requires a user action. Recent approaches use social media to attribute positive or negative associations of users to a georeferenced space by analysing the semantic linkages. This approach is promising but at the same time prone to biases due to a user selection bias and the interpretation of the semantics. In this paper, an alternative method based on the systematic analysis of georeferenced paths of people is proposed, which does not require direct user interaction. Underlying the assumption that people are willing to take a longer and more time-consuming path if the detour has a personal value for them, this work proposes to estimate these personal values systematically and partly automated by analysing the pathways taken. The authors suggest to conduct a ﬁrst feasibility study analysing the GPS positions of people to obtain information and ﬁnd patterns of the personal preferences of places, and matching them to interview or social media derived information on platial preferences.
Physical models from noncommutative causality

We introduced few years ago a new notion of causality for noncommutative spacetimes directly related to the Dirac operator and the concept of Lorentzian spectral triple. In this paper, we review in a non-technical way the noncommutative causal structure of many toy models as almost commutative spacetimes and the Moyal-Weyl spacetime. We show that those models present some unexpected physical interpretations as a geometrical explanation of the Zitterbewegung trembling motion of a fermion as well as some geometrical constraints on translations and energy jumps of wave packets on the Moyal spacetime.