Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature-Aware and Content-wise Denoising of 3D Static and Dynamic Meshes using Deep Autoencoders

Throughout the years, several works have been proposed for performing feature-preserving mesh denoising. Despite their reconstruction benefits, there are still challenges that need to be addressed. Meanwhile, several researchers, system engineers, and software developers have shown increasing interest in the application of deep learning approaches for performing several low-level information processing tasks, such as denoising, compression, etc., in image and video applications. In this paper, we present a method for reconstructing accurately static and dynamic noisy meshes by applying autoencoders on guided normals. To increase the effectiveness of the proposed method, we use different models for different set of faces that are classified as features and non-features. Extensive evaluation studies carried out using a variety of static and dynamic meshes, verify that the proposed approach achieves plausible reconstruction output despite the constraints posed by complex noise and geometry patterns.
Digitizing the Informed Consent: the Challenges to Design for Practices

This paper reports a user study performed to assess the usability of a Web-based electronic informed consent application called DICE, which is aimed at supporting patients in the process of reading, understanding and using the informed consent as a trigger for further interaction with the team of care givers. In particular, we performed a questionnaire-based study and a series of individual semi-structured interviews to understand whether the application is usable and can be used in real-world settings, respectively. We found that patients could appreciate the availability of interactive tools like DICE, but health professionals believe that its actual adoption in current workflows and practices could be hampered by the chronic lack of time and health operators who could timely address the licit requests that such a tool could bring to light.
A Global and Exponential Nonlinear Observer for Rigid Body Pose Estimation with a Single Landmark Reading

In this research, a nonlinear observer is proposed in order to estimate the attitude and the position of a rigid body. The attitude and position information is provided by a time varying single landmark readings. Most existing attitude determination systems lack global convergence in light of topological limitations on Special Orthogonal group SO(3). However, we do not restrict the attitude estimation to evolve on SO(3) and hence we prove that the stability of the proposed observer is of global and exponential sense. Simulation results illustrate the effectiveness of the proposed method.
A method of modal parameter estimation based on electromagnetic vibration exciter

The experimental modal test of the structure of the driving motor has always provided a major contribution to understand and control the vibration phenomena encountered in practice. The Hammer Test is a common method to obtain a mathematical model of the structure and to validate the theoretical model and Finite Element Method (FEM) model. However, the hammer or the vibration exciter will increase the test cost. In this paper, an electromagnetic vibration exciter is proposed to achieve the frequency response functions (FRF) and then the modal parameters can be extracted. The Finite-element analysis (FEA) and experiments of a 6p/36s PM motor have been conducted to verify the proposed method.
Applying In-depth Interview to Explore the Use of Electronic Coupons and Customer Behavior Change

Thanks to the widespread use of smartphones, many customers especially in Japan rely on using electronic coupons with their smartphone applications. However, in subscription-based electronic coupon services that are widely used, some customers do not take full advantage of their electronic coupons, as they forget they have subscribed to the service. In this paper, we study how to implement persuasive system design (PSD) model to encourage electronic coupon use for various services. To be able to create persuasive techniques, we conducted in-depth interviews to extract clues on how to achieve suitable methods. The interviews indicated that we first need to improve the application’s general user interface to fulfill the postulates presented in the PSD model and common usability goals. We also found that PSD model has several system qualities we can take advantage of such as dialogue and social support to create more persuasive features in the system. For example using praise, rewards, reminders, and ’nudge’ to encourage term-limited coupon use. We also compare the system features to the PSD model with examples while pointing out that the model lacks development that often uses cycles instead of linear development and is partially vague in describing system credibility and direct and indirect persuasion implementations. Last, we shortly discuss ethical implications of using persuasive technology and behavioural change methods in a commercial application.
The Concept Space Explorer

Design is often initiated by some ideas or concepts to form the design process, while design cases provide the impetus for design inspiration and conception. This paper is aimed at establishing a knowledge retrieval mechanism based on design concepts and their semantic relations. This research is based on a case library (CBA) implemented on the web as a repository of house cases and a learning environment for case-based design. The implementation and discussion is presented.
Virtual Reality as a Possible Tool for the Assessment of Self-Awareness

The absence of self-awareness is a crucial aspect in the symptomatology of various neurodegenerative disorders. This characteristic becomes relevant due to the strong implications it has on the patient’s quality of life, on the effects that functional dependence has on the caregiver and on the efficacy of the therapy. Faced with a construct as complex as self-awareness, there are in the literature investigations on different aspects of this phenomenon, such as the creation of cognitive models, the study of the neural substrate and the research of appropriate assessment methods that can reliably detect this function. With regard to the assessment methods, there are methodologies in the literature that provide complementary information. The first modality is a quantitatively online measurement based on the discrepancy between the estimate of the patient of his performance and his actual performance, but often neglecting the ecological validity and the real functioning of the subject. The second kind collecting subjective information on the actual daily functioning of the patient resulting from clinical observation or interviews with the subject and caregivers, but obtaining offline information on the functioning of the subject, liable to bias that may imply an overestimation or underestimation of subject’s ability. The absence of acknowledged metacognitive functional assessment with normative data to evaluate awareness winks at the emerging and increasingly consistent use of virtual reality (VR) also in the context of cognitive research and clinical assessment. This article aims to make a theoretical proposal regarding the use of this innovative and promising tool as a supplement to the assessment methods of self-awareness.
Coordinated Induction of Antimicrobial Response Factors in Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by dysregulated autoantibody production and complement activation leading to multi-organ damage. The disease is associated with increased intestinal permeability. In this study, we tested the hypothesis that SLE subjects have increased systemic exposure to bacteria. Since bacteria induce the expression of antimicrobial response factors (ARFs), we measured the levels of a series of clinically relevant ARFs in the plasma of SLE subjects. We found that levels of sCD14, lysozyme, and CXCL16 were significantly elevated in SLE subjects. A strong positive correlation was also observed between sCD14 and SELENA-SLEDAI score. Interestingly, the ratio of EndoCAb IgM:total IgM was significantly decreased in SLE and this ratio was negatively correlated with sCD14 levels. Although, there were no significant differences in the levels of lipopolysaccharide binding protein (LBP) and fatty acid binding protein 2 (FABP2), we observed significant positive correlations between lysozyme levels and sCD14, LBP, and FABP2. Moreover, galectin-3 levels also positively correlate with lysozyme, sCD14, and LBP. Since our SLE cohort comprised 43.33% males, we were able to identify gender-specific changes in the levels of ARFs. Overall, these changes in the levels and relationships between ARFs link microbial exposure and SLE. Approaches to reduce microbial exposure or to improve barrier function may provide therapeutic strategies for SLE patients.
Sign Language Recognition using a Smart Hand Device with Sensor Combination

: Communication is primary means of sharing information. For the deaf and dumb, sign language is their means of sharing information. A lay man finds sign language hard to decipher. Hence we propose a hand glove with combination of flex and three axis accelerometer sensors which is to be worn by the deaf and dumb while communicating with the rest of the world. The data collected using the sensors are matched with predetermined values using the technique of template matching using ARM LPC2148. The data that is accessed is then sent to an android app using a wifi module. Here in this system we focus on ASL alphabets. The data that is sent to the Android app is displayed on the screen and a voice output for each character is played.
Extracting Textual Information from Google Using Wrapper Class

In general, the web text documents are often structured, un-structured, or semi-structured format that is promptly growing everyday with massive amounts of data. The users provided with many tools for searching relevant information. Some of the searches include, Keyword searching, topic and subject browsing can help users to find relevant information quickly. In addition, Index search mechanisms allow the user to retrieve a set of relevant documents. Occasionally these search mechanisms are not sufficient. With the rapid development of Internet, amount of data available on the web regularly increased, which makes it difficult for humans to distinguish relevant information. A wrapper class is proposed to extract the relevant text information and focus on finding useful facts of knowledge from unstructured web documents using Google. Techniques from information retrieval (IR), information extraction (IE), and pattern recognition are explored.
Underwater image matching by incorporating structural constraints

Underwater robot plays an important role in underwater perception and manipulation tasks. Vision information processing is essential for the intelligent perception of an underwater robot, in which image matching is a fundamental topic. Feature-based image matching is suitable for the underwater environment. However, current underwater image matching usually directly applies those methods with a general purpose or designed for images obtained from the land to underwater images. The problem is that the blurring appearance caused feature descriptor ambiguity, which may greatly deteriorate the performance of these methods on underwater images. Aiming at problem, this article provides an underwater image matching framework by incorporating structural constraints. By integrating the appearance descriptor and structural information by a graph model, the feature correspondence-based image matching is formulated and solved by a graph matching method. Particularly, to solve the outlier feature problem, the graph matching method is applicable to the case where outlier features exist in both underwater images. Experiments on both synthetic points and real-world underwater images validate the effectiveness of the proposed method.
Introducing Elixir: Getting Started in Functional Programming

Elixir is an excellent language if you want to learn about functional programming, and with this hands-on introduction, youll discover just how powerful and fun Elixir can be. This language combines the robust functional programming of Erlang with a syntax similar to Ruby, and includes powerful features for metaprogramming.This book shows you how to write simple Elixir programs by teaching one skill at a time. Once you pick up pattern matching, process-oriented programming, and other concepts, youll understand why Elixir makes it easier to build concurrent and resilient programs that scale up and down with ease.Get comfortable with IEx, Elixirs command line interfaceDiscover atoms, pattern matching, and guards: the foundations of your program structureDelve into the heart of Elixir with recursion, strings, lists, and higher-order functionsCreate processes, send messages among them, and apply pattern matching to incoming messagesStore and manipulate structured data with Erlang Term Storage and the Mnesia databaseBuild resilient applications with Erlangs Open Telecom PlatformDefine macros with Elixirs metaprogramming tools
COMBINING ABILITY FOR YIELDS AND FIBER QUALITIES IN COTTON CROSSES (GOSSYPIUM HIRSITUM L.)

The experimental material consisted of the five parents (GSN 12, Şahin 2000, BA 308, Lider, Delcerro) and their 10 F1 diallel combinations. An experiment was carried out in randomized complete block design with four replications to assess combining abilities for yield and fiber qualities at Cotton Research Station Nazilli during the year 2013. The experiment was conducted to obtain genetic information on seed cotton yield, ginning out turn, fiber length, fiber fineness and fiber strength. The parents Şahin 2000 and BA 308 are the best combiner for seed cotton yields and fiber fineness; Delcerro for fiber length and fiber strength; Lider for ginning outturn. The F1 crosses of Şahin 2000 × Delcerro and BA 308 × Lider were the leading specific combiners for seed cotton yield per plant. The F1 crosses of GSN-12 × Şahin 2000, GSN-12 × BA 308, GSN-12 × Delcerro and Lider × Delcerro was found to be good combiners for ginning outturn, GSN-12 × Lider, Şahin 2000 × Delcerro and BA 308 × Delcerro for fiber length, GSN-12 × BA 308, GSN-12 × Lider, Şahin 2000 × BA 308, Şahin 2000 × Lider and Şahin 2000 × Delcerro for fiber fineness, GSN-12 × Şahin 2000 and Lider × Delcerro for fiber strength.
Industry 4 . 0 is coming : the role of ambition in digital adoption by micro-businesses

The advent of Industry 4.0 emphasises the potential importance of digital adoption for sustained competitiveness. Using new survey data of 6,500 firms in the UK we extend standard models of adoption to include the influence of firms’ growth ambition. First, we find strong evidence that growth ambition positively moderates the link between the expected returns from adoption and the adoption decision. The more ambitious the firm the more likely is adoption given any specific rate of return. Second, network and collaborative linkages are strongly associated with digital adoption as suggested in epidemic models of technology diffusion. Third, there is strong evidence that firm-level characteristics impact digital adoption. Micro-businesses with stronger internal resources (business plans, training, external finance) are, ceteris paribus, more likely to be digital innovators, potentially reinforcing their competitive advantages over more resource-constrained competitors. Fourth, prior adoption of digital technologies is negatively linked to subsequent adoption, while prior levels of sectoral adoption are positively linked to adoption. These findings may be linked to informational, competitive or supply-side effects. Developing networking and information sharing mechanisms which can improve knowledge diffusion seem an obvious policy opportunity.
Facile synthesis of nanoparticles of the molecule-based superconductor k-( BEDT-TTF ) 2 Cu ( NCS ) 2 Synth ese ais ee de nanoparticules du supraconducteur mol eculaire k-( BEDT-TTF ) 2 Cu ( NCS ) 2

Well-dispersed roughly spherical nano-objects of the molecule-based superconductor k(BEDT-TTF)2Cu(NCS)2 have been prepared in an organic solution by using an easy synthetic route. Long alkyl-chain aconitate esters have been used as growth controlling agents. Nano-objects exhibiting sizes in the 35e120 nm range are made of aggregated individual smaller nanoparticles ranging from 3 to 10 nm. Nanoparticle powders have been studied by X-ray diffraction, high resolution electron microscopy and atomic force microscopy in the conductivity mode. © 2018 Académie des sciences. Published by Elsevier Masson SAS. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ ).
ESTIMATING CONTRIBUTION OFZOOXANTHELLAE TO ANIMAL RESPIRATION (CZAR) AND TO ANIMAL GROWTH (CZAG) OF GIANT CLAM Tridacna maxima

Zooxanthellae are symbiotic dinoflagellate algae which live in association with marine invertebrates including giant clams. These algae are capable of translocating part of their photosynthetic products to the host. This translocation is one of the nutrition sources of the host. The present study aims to calculate the contribution of zooxanthellae on the energy requirements of adult giant clam (Tridacna maxima) during their respiration and growth processes. The result showed that zooxanthellae are capable of contributing 260.67% and 452.54% energy required by giant clams for respiration and growth during summer and 171.51% and 273.51 % during winter, respectively. It suggests that all the energy required for these two processes can be supplied by zooxanthellae.
Degree of regularity for HFE Minus ( HFE-) Jintai Ding and

In this paper, we prove a closed formula for the degree of regularity of the family of HFE(HFE Minus) multivariate public key cryptosystems over a finite field of size q. The degree of regularity of the polynomial system derived from an HFEsystem is less than or equal to (q − 1)(⌊logq(D − 1)⌋+ a) 2 + 2 if q is even and r + a is odd, (q − 1)(⌊logq(D − 1)⌋+ a+ 1) 2 + 2 otherwise. Here q is the base field size, D the degree of the HFE polynomial, r = ⌊logq(D − 1)⌋ + 1 and a is the number of removed equations (Minus number). This allows us to present an estimate of the complexity of breaking the HFE Challenge 2: • the complexity to break the HFE Challenge 2 directly using algebraic solvers is about 2.
Adverse events of auricular therapy

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Cross-cultural study on social support , sense of coherence and outcomes in Pakistan and Germany Pakistan

The current research examines the mediating role of sense of coherence between social support and outcomes including well-being and stress in collectivistic (Pakistan) and individualistic culture (Germany). Sample comprises of university students (N = 200) further equally divided in individualistic and collectivistic culture. Hierarchical regression is applied for data analysis. The hypotheses are confirmed by the findings. Sense of coherence partially mediated between social support and well-being in collectivistic culture, individualistic culture and overall sample. Similarly, sense of coherence partially mediated between social support and stress among students. The current investigation is an important addition in the literature on the theory of sense of coherence. The direct paths of sense of coherence and outcomes were well-established in the past literature; however, the present study contributes to the theory by suggesting an indirect path to well-being and stress.
INSTITUTO SUPERIOR DE CONTABILIDADE E ADMINISTRAÇÃO DE LISBOA

This paper provides evidence on the role of non-base wage components as a channel for firms to adjust labour costs in the event of adverse shocks. It uses data from a firm-level survey for 25 European countries that covers the period 2010–2013. We find that firms subject to nominal wage rigidities, which prevent them from adjusting base wages, are more likely to cut non-base wage components in order to adjust labour costs when needed. Firms thus use non-base wage components as a buffer to overcome base wage rigidity. We further show that while non-base wage components exhibit some degree of downward rigidity, they do so to a lesser extent than base wages. JEL Codes: J30, J32, C81, P5
FOR A NEW GUIDELINE for OECD GUIDELINES FOR TESTING OF CHEMICALS Determination of Developmental Toxicity of a Test Chemical to Dipteran Dung Flies

2. Scathophaga stercoraria L. (Scathophagidae) and Musca autumnalis De Geer (Muscidae)) are considered to be suitable indicator species for estimating the developmental toxicity of parasiticides on dung dependant Diptera for the following main reasons: Collectively, the species cover a wide geographic range. S. stercoraria and M. autumnalis are widespread in Europe, Asia, Africa and North America [2, 3, 4, 5, 6, 7].
BACHELOR THESIS

Negative impacts of managerial discretion have been frequently discussed in media through the misbehavior of people in different business scandals in recent years. This thesis investigates how organizational culture and profession affect managerial discretion of auditors. Discretion is defined as the space, or level of freedom, a manager has in his or her decision making process when taking action. The study is performed on authorized Swedish auditors, members of FAR. The data is collected through a web based questionnaire. The link with cover letter was sent out the 23 rd of April 2013, and was accessible until the 29 th . Out of 3 956 registered members of FAR, 3 672 could be contacted through e-mailing. 295 answers were collected, which of 191 were fully completed. Chronbach’s Alpha, Pearson’s correlations test, Regression analysis as well as t-tests were carried out in SPSS on the primary data collected from the survey. A relationship between the Big Four auditing firms, their business culture and a lower level of discretion is found. No distinct relationship between individualistic organizational culture and discretion is found, and neither between association with the profession of auditing and managerial discretion. A positive relationship between employees at Big Four and association with profession is found. This study contributes to those existing as managerial discretion is considered in relation to both internal and external parameters, which has previously not been done. Furthermore it adds to the lack of theory regarding profession. As a result the study provides a good foundation for further research. Finally, as this thesis highlights the possible limitations organizational culture and profession might generate on managerial discretion, it can be useful for auditing firms as well as other companies as to better understand the importance and possible impacts of these phenomena.