Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved method for statistical studies of the internal kinematics of H ii regions: the case of M83

The understanding of the formation and evolution of galaxies will not be complete until we understand the physical processes that trigger and regulate starformation in them. This work is about star formation on several size scales. It includes the kinematic study of 157 H II regions in the spiral galaxy M83, in order to test the relation, if any, between luminosity (L) and velocity dispersion(s), indicative of virialization. We found that there is no strong correlation between the mentioned variables, but only an upper envelope with a maximum luminosity for a given velocity dispersion. We demonstrated that this envelope has a slope that is strongly dependent on an accurate correction of instrumental broadening. Using our experience in H II regions, we moved to star formation at larger scales. Thus, the bulk of this thesis is on starburst galaxies and their evolutionary descendants, the postburst galaxies. A starburst is a galaxy that is suddenly creating large amounts of stars, at a rate that is not sustainable for long periods.We performed a kinematic study of a sample of 11 such objects, showing that they are, in general, not supported by rotation and that many of them are consistent with a recent merger which affected their morphology and kinematics.Furthermore, from Sloan Digital Sky Survey (SDSS) we extracted a robust sample of 1006 starbursts and 240 postbursts at redshift 0.010<z<0.083. We performed a comparative study of their structural parameters, such as effective radius, sersic index, asymmetry and absolute magnitude. We have found that the majority of starbursts and postbursts in the nearby Universe are disky galaxies, with a tendency for starbursts to have shorter effective radii and larger asymmetries.
Facultat d ’ Informàtica de Barcelona ( FIB ) Image Recognition with Deep Learning Techniques and TensorFlow Maurici

Deep neural networks have gained popularity in recent years, obtaining outstanding results in a wide range of application, but most notoriously in computer vision and natural language processing tasks. Despite the newly found interest, research in neural networks span many decades back, and some of today’s most used network architectures where invented many years ago. Nevertheless, the progress made during this period cannot be understood without taking into account the technological advancements seen in key contiguous domains such as massive data storage and computing systems, more specifically in the Graphic Processing Unit (GPU) domain. These two components are responsible for the enormous performance gains in neural networks, that have made what we call Deep Learning a common word among the Artificial Intelligence and Machine Learning community. These kind of networks need massive amounts of data to effectively train the millions of parameters they contain, and this training can take up to days or weeks depending on the computer architecture we are using. The size of new published datasets keeps growing, and the tendency of creating deeper networks that outperforms shallower architectures means that on the medium and long term the computer hardware to undertake these kind of training processes can only be found in high performance computing facilities, where they have enormous clusters of computers. However, using these machines is not straightforward, as both the framework and the code need to be appropriately tuned for effectively taking advantage of these distributed environments. For this reason, we test TensorFlow, an open-sourced framework for Deep Learning from Google that has built-in distributed support, on top of the GPU cluster, called MinoTauro, at Barcelona Supercomputing Center (BSC). We aim to implement a defined workload using the distributed features the framework offers, to speed up the training process, acquire knowledge of the inner workings of the framework and understand the similarities and differences with respect to a classic single node training.
ANC-Based TOA Estimation with Lower Sampling Rates for UWB Systems

High time resolution makes the UWB signal as a favor of the high accurate ranging technology. Since the bandwidth of a received UWB signal is very large, the Nyquist rate sampling becomes impractical. So energy detection (ED) algorithm with sub-Nyquist rate sampling becomes a feasible alternative. Though energy detection does not require accurate timing or pulse shapes, it suffers more from noise due to a square-law device, especially at lower SNR. This paper proposes an adaptive noise cancellation (ANC) based energy detection algorithm. By use of the ANC system, the effect of the noise is decreased obviously. Simulation results demonstrate the improvement in the mean absolute error (MAE) of TOA estimation when the proposed algorithm is used.
Design and virtual prototyping of user-customized assistive devices

DESIGN AND VIRTUAL PROTOTYPING OF USER-CUSTOMIZED ASSISTIVE DEVICES Venkat Narayan Krovi Vijay Kumar and G. K. Ananthasuresh The focus of this dissertation is on the design, virtual prototyping and physical realization of one-of-a-kind assistive devices that are physically coupled or attached to the human user. This class of articulated assistive devices called teletheses are designed to be passive. The intimate physical coupling enables their use as \extensions" powered by the remaining functional musculature of the partially disabled user. The novel class of Coupled Serial Chains (CSC) mechanisms is used in the design of such teletheses. CSC mechanisms can be realized by physically coupling the various joint rotations of a serial chain robotic device using cable and pulley drives. The resulting devices retain the serial-chain con guration but have fewer degrees of freedom. Their simplicity makes them highly suitable for actuation and control of complex position-force tasks by human users. Task-speci c customization of such CSC mechanisms is necessary to enhance task performance. This is accomplished by design in the framework of dimensional synthesis of mechanisms. The main contributions of this dissertation are: 1. A modular integrated design environment, combining tools from synthesis, simulation and optimization with visualization to aid early user-customization and rapid design realization. 2. Optimal design of planar and spatial single degree-of-freedom coupled serial chain (SDCSC) mechanisms for matching desired end-e ector position and force task speci cations by combining precision point synthesis with optimization. Speci cally, we highlight the systematic formulation and analytic solution of precisionpoint path synthesis equations for 2-link spatial SDCSC mechanisms; and the kinetostatic design of SDCSC mechanisms to trace desired end-e ector trajectories while supporting arbitrary loads, with and without torsional springs at the revolute joints. The method for developing one-of-a-kind products is illustrated with a case study of a user-customized head controlled feeding aid for quadriplegics. vi
Recommendations in Product Personalization: An extended Example of Pipelined Filter Combination

Traditionally, customers spend most of their money for pre-configured "off- the-shelf" products. Simple product variations are offered, fine-tuning by the customer before the purchase is generally not intended. Why pay for functionality that is not wanted? Why spend money for products that are so rigid and do not satisfy a hundred percent? To remedy these issues, we discuss a possible solution based on recom- mendations. In our approach, traditional filtering techniques known from recommender systems guide the customer through a sophisticated product personalization process using pipelined filter combination. This process distinguishes between expert custom- ers and novices. An extended example proofs the rich capabilities of the proposed so- lution.
Multicriteria Analysis in Engineering: Using the PSI Method with MOVI 1.0

Preface. Part I: Parameter Space Investigation Method and its Applications. 1. Multicriteria Optimization and Parameter Space Investigation Method. 2. Several Examples of Multicriteria Design. 3. Decomposition and Aggregation of Large-Scale Systems. 4. Multicriteria Identification. 5. Optimal Design and Multicriteria Control. Addendum. References. Index. Part II: MOVI Software 1.0 Package User's Manual. Introduction. 1. General Description of the MOVI 1.0 Software Package. 2. System Requirements. 3. Contents of the Distribution Package. 4. Installing the MOVI 1.0 Software Package and Getting Started. 5. Interface Library Development Manual. 6. Database Manager User's Manual. 7. MOVI 1.0 Operation. 8. Exercises. Appendix A: Examples of Points of the LPtau Sequence. Appendix B: Problem Files.
Etude par émission acoustique et dilatométrie d'électrodes à base de silicium pour batteries Li-ion

Afin d’augmenter la densite d’energie des batteries Li-ion, en particulier pour le marche des vehicules electriques, il est necessaire de developper des materiaux d’electrode plus performants. Le silicium, dont la capacite specifique (3579mAh/g) est dix fois superieure a celle du graphite, est un materiau particulierement prometteur. Neanmoins, lors de sa lithiation, il subit une forte expansion volumique (280% contre 10% pour le graphite) conduisant a la decrepitation des particules de Si et a la fissuration/decohesion de l’electrode. Il en resulte une diminution notable de la duree de vie de l’anode. Pour ameliorer la tenue au cyclage des electrodes, il est necessaire de bien comprendre/quantifier leur degradation morphologique, ce que permettent difficilement des analyses post mortem conventionnelles. Notre objectif est d’utiliser et de developper des outils permettant d'etudier in operando la degradation de ces electrodes. Nous avons mis en œuvre des protocoles de caracterisation in operando couplant des mesures electrochimiques a l’emission acoustique d’une part et a la dilatometrie d’autre part. Le suivi de l’activite acoustique au cours du cyclage de l’electrode a montre que les particules de Si micrometrique constituant cette electrode se fracturent des le debut de la lithiation, et que la fissuration de l’electrode se produit progressivement tout au long de la 1ere lithiation. Peu d’activite acoustique est detectee par la suite. Par l’analyse des signaux acoustiques, trois types de signaux ont ete identifies, se differenciant principalement selon leur frequence de pic. Les signaux de hautes frequences sont associes principalement aux micro-fractures des particules en debut de lithiation, et les signaux a moyennes et basses frequences sont respectivement attribuees a la fissuration de l’electrode et aux macro-fractures des particules de Si en fin de lithiation. L’etude dilatometrique a montre une expansion volumique maximale de ~170% avec une encre tamponnee a pH3 versus 300% si l’electrode est preparee a pH7. Cette difference s’explique par la formation de liaisons cohesives entre le liant CMC et les particules de Si lorsque l’electrode est preparee a pH 3, ameliorant sa resistance mecanique. Ce qui a ete confirme par des mesures d’indentation. Ainsi, l’electrode formulee a pH 3 montre une meilleure cyclabilite. Enfin, nous avons demontre qu’une diminution notable de la duree de vie de l’electrode est observee lorsque la taille initiale des particules de Si est reduite de 230 a 85nm. Nous expliquons ce resultat inattendu par une quantite insuffisante de CMC par rapport a la surface specifique plus elevee des particules de taille plus faible. De fait, sa resistance mecanique est insuffisante et conduit a une fissuration et une exfoliation importantes de l’electrode. Ceci est appuye par les mesures de dilatometrie, d’emission acoustique et des observations MEB.
Phonology In Generative Grammar

Preface. Acknowledgements. Introduction. 1. The Sounds of Speech. 2. Phonological Rules and Representations. 3. Phonoligical Alternations and Derivations. 4. The Phonetic Foundations of Phonology. 5. Lexical Phonology. 6. The Syllable and the Syllabification. 7. Autosegmental Phonology. 8. The Phonological Skeleton. 9. Feature Geometry, Underspecification, and Constraints. 10. Stress. 11. Prododic Morphology. References. Abbreviations. Language Index. Subject Index.
Behaviors of Class-F and Class-F Ampliers Junghwan Moon

Operational behaviors of the class-F and class-F ampliers are investigated. For the half-sinusoidal voltage waveform of the class-F amplier, the amplier should be operated in the highly saturated region, in which the phase relation between the fundamental and second harmonic currents are out-of-phase. The class-F amplier can operate at the less saturated region to form a half sinewave current waveform. Therefore, the class-F amplier has a bifurcated current waveform from the hard saturated operation, but the class-F amplier operates as a switch at the saturated region for a second harmonic tuned half-sine waveform. To get the hard saturated operation, the fundamental load is very large, more than times larger than that of the tuned load amplier. The operational behaviors of the ampliers are explored with the nonlinear output capacitor. Since the capacitor generates a large second harmonic voltage with smaller higher order terms, the class-F amplierwith the nonlinear capacitor can deliver the proper half-sinusoidal voltage waveforms at a lower power, but the effect of the nonlinear capacitor is small for the class-F amplier. The class-F amplier delivers the superior performance at the highly saturated operation due to its larger fundamental current and voltage generation at the expense of the larger voltage swing. The simulation results lead to the conclusion that the class-F amplier with the nonlinear capacitor is suitable topology for high efciency. However, in the strict sense, the class-F amplier with the nonlinear capacitor is not the classical class-F amplier because the voltage-shaping mechanisms and the fundamental load are quite different. We call it the saturated amplier since the amplier is the optimized structure of the power amplier operation at the saturated mode.
Comparative Analysis of Mechanical Properties of Common Carotid Artery between Young and Old Specimen

Objective: This study aimed to perform the carotid artery stretching experiments with young and elderly corpse for the study of carotid atherosclerosis pathogenesis and biomechanical basis. Methods: 15 carotid arteries were randomly selected from young and elderly groups, respectively, for the longitudinal tensile test, and 1 specimens of each group was randomly selected for the morphological observation. Results: The maximum longitudinal tensile stress, maximum strain, elastic limit strain of middle cerebral artery in young group were greater than those of elderly group (P < 0.05), while the elastic modulus of middle cerebral artery in young group was less than that of elderly group (P < 0.05). SEM results showed that the muscle cells of middle cerebral artery in young group were in neat arrangement, with intact elastic membrane, while the muscle cells of elderly carotid artery showed active hyperplasia, some elastic membrane were ruptured, with disorganized arrangement. Conclusions: The morphology and longitudinal tensile properties of carotid artery in elderly group of
Lifestyle Interventions for the Management of Hypertension in Adults: A Review of Reviews

Introduction. Hypertension is the most pervasive health concern in the U.S. with an estimated prevalence of 29.1–32.6%. Guidelines advise comprehensive treatment of hypertension that should include lifestyle changes. The objective of this review of reviews was to synthesize evidence on lifestyle interventions to reduce blood pressure in adults with essential hypertension and identify how race plays a role in determining which interventions are most effective. Methods. A systematic review of reviews was conducted in PubMed and CINAHL from January 2008 to October 2014 with the following search criteria: $"%! &'()*! +,-(./0! 1.'2345! *.6'0345! 0)! 01. 23+. '+. 178. *0.4+3)49! $#%! 0. *&+! *. 6'0.2! 0)! 63:. +076. '42! -. 1';3)*! &)23:3/'03)4! 340. *;. 403)4+, and (3) systematic review or meta-analysis. Results. The literature search identified 652 citations, of which 10 met the selection criteria. These 10 reviews summarized evidence on 13 interventions that employed the following strategies: +. 6:<&)430)*3459! 8*):. ++3)4'6! +,88)*09! 2,/'03)49! 23.09! /6343/! *. &342. *+9! 8*)-6. &! +)6;3459! +. 6:<&'4'5. &. 409! :'&367! 34;)6;. &. 409! )*! 8*)'/03;. 2.63;. *7=! >1. *. +,60+! 2. &)4+0*'0.2! 01'0! '601),51! +)&. 3423;32,'6! +0*'0.53. +! *. +,//. ++:,6! 34! *. 2,/345! -6))2! 8*. ++,*. 9! /)&-34'03)4+! ):! +0*'0.53. +! *. 01. &)+0! +,//. ++:,6=! "#$%##"&'=! @)&-34'03)4+! ):! 340. *;. 403)4! +0*'0.53. +! 0)! *. 2,/. -6))2! 8*. ++,*. '*. &)*. +,//. ++:,6! 01'4! +3456. +0*'0.53. +=! A)! /)4/6,+3)4+! /),62! -. &'2. '-),0! 01. 23::. *. 403'6! ::. /03;. 4. ++! ):! -'+. 2! )4! *'/. =! B,0,*. +0,23. +! 4.2! 0)! ;'6,'0. 13/1! /)&-34'03)4+! ):! 340. *;. 403)4+! '*. &)+0! +,//. ++:,6! 0)! *. 2,/. -6))2! 8*. ++,*. =
The impact of social capital with customers on start-ups ’ performance and growth

Across developed and developing economies, researchhas provided ample evidence for the importance of entrepreneurs’ social capital for venture creation. Scholars have particularly focused on relationships with investors, suppliers, administrative boards, and on interfirm networks. However, anecdotal evidence illustrates thatsocial capital with customers can bemost decisiveforsuccessful start-up, particularly in high-quality service contexts. The phenomenon has been observed in various settings,including advertising, software development,financial, tax and legal services:Entrepreneurs that are able to take (parts of) their former employers’ customer base with them into independencestrongly enhancetheir prospects in the marketplace,as obviously, an established customer base instantly generates sales, word-of-mouth, and referrals.Yet so far, there is no systematic research investigating the actual prevelance and performance effects of such “customer transfer” in everyday practice. Based on longitudinal data from 450 German start-ups in franchised services, we explore the role of social capital with customers for start-up. The results document a strong linkage between customer capital and start-up performance. Entrepreneurs’subsequent efforts formanaging customer relationships successfully (concerning retention, crossand upselling, referrals)moderate thelinkage. However, contrary to our expectations, performance advantages arerather short-lived. Yet,initial customer capitalstill pays off in terms of opportunities for fasterexpansion.
Handbook of Obesity Treatment

Part I. Prevalence, Consequences, and Etiology of Obesity. Part II. Health Consequences of Weight Reduction. Part III. Assessment of the Obese Adult. Part IV. Treatment of Adult Obesity. Part IV. Treatment of Adult Obesity: Additional Approaches and Resources. Part 6. Childhood Obesity and Obesity Prevention.
P rescriptions for Excellence in HEAL T H C A RE

no. 706. 10. Bates DW, Gawande AA. Error in medicine: what have we learned? Ann Intern Med. 2000;132(9):763-767. 11. Pugliesi K. The consequences of emotional labor: effects on work stress, job satisfaction, and well-being. Motivation and Emotion. 1999;23(2):125-154. 12. Sexton JB, Thomas EL, Helmreich RL. Error, stress, and teamwork in medicine and aviation: cross sectional surveys. BMJ. 2000;320:745-749. 13. Peterson M, Wilson JF. The culture-work-health model and work stress. Am J Health Behav.
Promoting Active Learning in Physiology Lectures Through Student Response Systems: To Click or Not to Click

Courses in physiology engage students through active learning strategies including small group discussions, group work, and opportunities to explore a scientific problem and explain their findings. Many of these active learning exercises take place in tutorial and laboratory settings. Unfortunately, traditional physiology lectures are often limited to conveying information through lecturing and PowerPoint slides. This approach provides little opportunity for student engagement above lower-order cognition, i.e., writing notes, listening, memorization (Freeman et al. 2014). Student response systems (e.g., clickers) are a valuable tool to facilitate active learning in the lecture setting that could enable students to take control of their learning (“Do I truly understand this topic/concept/theory? ”) (Hwang, Wong, Lam & Lam 2015). In addition, clickers provide valuable instant feedback to the lecturer about student comprehension, and can be used to track participation and attendance. Many platforms are now available including clicker devices and virtual clickers to facilitate active learning and meta-cognitive exercises in the lecture setting. Student feedback response platforms may provide a way to introduce active learning into the lecture setting with physiology lectures resulting improved engagement and better achievement of learning outcomes. This workshop provides practical strategies and examples to help instructors evaluate the benefits, challenges, and methods of integrating student response systems into the physiology lecture setting.
Review: Build a Roadmap for Stepping Into the Field of Anti-Malware Research Smoothly

In the era of cyberspace, malware is the main weapon for launching cyber-attacks and the critical rival for the security community. More and more researchers are investing in the wave of anti-malware research. In order to promote researchers to enter the field of anti-malware research more smoothly, it is necessary to provide a comprehensive roadmap of the related theory and techniques, so that new researchers can quickly obtain the desiring knowledge. To this end, this article systematically reviews the knowledge of malware in accordance with the most effective research route, that is, “Why? $\to $ What? $\to $ How? ” First, we analyze the significance of conducting malware research and explains “why? ”; then, the concept, type, and harm of malware are summarized, and introduce “what? ”; finally, the focus is on “how? ”, i.e. malware detection and classification. In the presence of the increasing complexity of malware types and scales, this paper focuses on machine learning-based detection and classification methods in view of feature engineering and analysis environment. The abstract and contributions are summarized for each typical method so that researchers can quickly find the preferred references like a dictionary, and establish a comprehensive and clear framework for anti-malware research in a correct route.