Miracle-dz/UniFAR-FTUs huggingface dataset:
Multigrid Methods for Anisotropic Diffusion

Multigrid methods provide a means with which to accelerate the solution of many problems derived from multidimensional linear and nonlinear Partial Differential Equations. A multigrid approach is applied to anisotropic diffusion, a process that is useful for image smoothing and edge strengthening. It is demonstrated to improve the response of the diffusion process by smoothing stubborn low-frequency artefacts. Where traditional relaxation approaches are used to solve large systems of equations on high-resolution images, multigrid methods sustain superior rates of convergence to arbitrary precision and provide a computational complexity that is linear in the number of pixels of the image.
The ATESP 5 GHz radio survey - I. Source counts and spectral index properties of the faint radio population

Context. The nature and evolutionary properties of the faint radio population, responsible for the steepening observed in the 1.4 GHz source counts below 1 milliJy, are not yet entirely clear. Radio spectral indices may help to constrain the origin of the radio emission in such faint radio sources and may be fundamental in understanding eventual links to the optical light. Aims. We study the spectral index behaviour of sources that were found in the 1.4 GHz ATESP survey (Prandoni et al. 2000a, AA 2000b, A&AS, 146, 41), considering that the ATESP is one of the most extensive sub-mJy surveys existing at present. Methods. Using the Australia Telescope Compact Array we observed at 5 GHz part of the region covered by the sub-mJy ATESP survey. In particular we imaged a one square degree area for which deep optical imaging in UBVRIJK is available. In this paper we present the 5 GHz survey and source catalogue, we derive the 5 GHz source counts and we discuss the $1.4{-}5$ GHz spectral index properties of the ATESP sources. The analysis of the optical properties of the sample will be the subject of a following paper. Results. The 5 GHz survey has produced a catalogue of 111 radio sources, complete down to a ($6\sigma$) limit $S_{\rm lim}(5~{\rm GHz}) \sim 0.4$ mJy. We take advantage of the better spatial resolution at 5 GHz (~$2\arcsec$ compared to ~$8\arcsec$ at 1.4 GHz) to infer radio source structures and sizes. The 5 GHz source counts derived by the present sample are consistent with those reported in the literature, but improve significantly the statistics in the flux range $0.4\la S_{5~{\rm GHz}}\la 1$ mJy. The ATESP sources show a flattening of the $1.4{-}5$ GHz spectral index with decreasing flux density, which is particularly significant for the 5 GHz selected sample. Such a flattening confirm previous results coming from smaller samples and is consistent with a flattening of the 5 GHz source counts occurring at fluxes $\la$0.5 mJy.
Towards more natural digital content manipulation via user freehand gestural interaction in a living room

Advances in dynamic gesture recognition technologies now make it possible to investigate freehand input techniques. This study tried to understand how users manipulate digital content on a distant screen by hand gesture interaction in a living room environment. While there have been many existing studies that investigate freehand input techniques, we developed and applied a novel study methodology based on a combination of both an existing user elicitation study and conventional Wizard-of-Oz study that involved another non-technical user for providing feedback. Through the study, many useful issues and implications for making freehand gesture interaction design more natural in a living room environment were generated which have not been covered in previous works. Furthermore, we could observe how the initial user-defined gestures are changed over time.
A common framework for ML detection of spatially multiplexed and space time coded MIMO signals and reducing its computational complexity

In this paper, a common framework for maximum likelihood (ML) detection of spatial multiplexed (SM) and space time coded multiple-input multiple-output (MIMO) signals is proposed. It facilitates a common field programmable gate array (FPGA) based hardware design for the detection of both SM and space time block coded (STBC) MIMO signals with reduced computational complexity. We reduce the number of multipliers required for the ML detection by utilizing a set of precomputed combinations of the constellation symbols from lookup tables (LUT) without any degradation in the packet error rate (PER) performance. The reduction in the computational complexity is achieved by using the additional memory that is available in the FPGA. To evaluate the performance of the proposed method, we perform simulations for the WLAN system based on IEEE 802.11 standard using SM-MIMO and STBC-MIMO.
User-Friendly Ontology Editing and Visualization Tools: The OWLeasyViz Approach

This paper aims to propose solutions to the issue of ontology visualization, by presenting intuitive and user-friendly ontology editing and visualization environments mainly oriented to domain experts. It starts with an overview of existing ontology visualization methods; afterwards it describes the Semantic DB system and the OWLeasyViz ontology editor. Semantic DB is a web application framework to create simple complete semantic web applications, integrating an ontology editor, a resource editor, an inference rule editor, a reasoner, and a search engine. OWLeasyViz is an ontology editor that combines a textual and a graphical representation of OWL ontologies. It meets different user needs by providing a simple and intuitive interface to end-users who are not ontologists, and offering more advanced tools to ontology experts. The OWLeasyViz editor is intended to be a module of a semantic web integrated working environment, developed within the context of a Swiss Government funded CTI applied research project in the domain of waste water management.
The morphological and functional effects of exercise in the aquatic environment, performed before and/or after sciatic nerve compression in Wistar rats

The aim of this study was to evaluate the effects of exercise in the aquatic environment, performed before and/or after sciatic nerve compression in Wistar rats on morphological and functional parameters. Twenty-five Wistar rats were divided into the following groups: control (C), lesion (L), trained+lesion (TL), lesion+exercise (LE), and training+lesion+exercise (TLE), who underwent right sciatic nerve compression on day 21 of the experiment. The TL and TLE groups were submitted to a jumping exercise in a water environment for 20 days prior to injury and the LE and TLE groups after injury. The functional analysis was carried out using the sciatic functional index (SFI). On the last day of the experiment, the right sciatic nerves were collected, processed and analysed according to morphology and morphometry. The C group showed higher SFI in relation to the other groups. In the morphometric analysis, in comparison to C, all groups showed a decrease in the diameter of the injured nerve fibre, the myelin sheath and an increase in the percentage of connective tissue. There was a decrease in axon diameter in L, TL, and LE groups and a decrease in the density of nerve fibres in the TL and LE groups. The exercise did not affect functional recovery. However, the exercise prior to the injury improved morphology of the nervous tissue, and when performed pre- and postinjury, there was also an improvement in nerve regeneration, but this was not the case with exercise performed after the injury demonstrating worse results.
Cooperative creation of concept keyboards in distributed learning environments

In this paper we introduce CoBo, a collaborative system supporting cryptographic protocol learning, which offers an interface for the cooperative creation of concept keyboards. Concept keyboards are input interfaces created by the user during runtime with the goal of meeting the user's need for interaction. Experiments with an early version of CoBo have shown that, although students recognize the power of collaborative learning, they found a collaborative simulation of cryptographic algorithms should be associated with an additional step in the learning process: the collaborative design of the concept keyboards that will be used to perform the collaborative simulation of cryptographic protocols.
The Use of High Dose Letrozole in Ovulation Induction and Controlled Ovarian Hyperstimulation

Letrozole, an aromatase inhibitor, has been demonstrated to be effective as an ovulation induction and controlled ovarian hyperstimulation agent. However, dose administration has generally been limited to 5 days at 2.5 to 7.5 mg daily. We undertook a retrospective review of over 900 treatment cycles using letrozole in doses as high as 12.5 mg per day. Results indicate that such doses do indeed offer benefit to patients; in that there is increased follicular growth and a higher number of predicted ovulations with higher doses of the drug. However, increasing doses does not produce a detrimental effect upon endometrial thickness. High-dose letrozole may be of value in women who fail to respond adequately to lower doses. Furthermore, randomized trials are needed to determine whether high-dose letrozole might actually be optimal as a starting dose for certain treatment groups.
Security Architecture of the Distributed System Layered Approach

—Architecture of a security subsystem is a very important aspect of any computing infrastructure, so, it is not unusual practice to dedicate special attention to problem addressed in this paper. Modern attack techniques require new theoretical model for their elimination. Layered approach incorporated with metadata promises easy extensibility, flexibility and above all reliable security.
The Design and Evaluation of Color Scales for Image Data

The representation of a parameter in a two-dimensional image using color is discussed. Desirable properties of color scales are stated. The notion of an optimal color scale is introduced and the development of a particular optimal color scale is described; restrictions on the order of colors in an optimal color scale are stated and an algorithm is presented to search for scales that obey those constraints. The linearization of color scales is discussed. The result of such two-step process is presented in the form of the Linearized Optimal Color Scale (LOCS). Observer performance experiments were conducted to study the merits of color scales for medical image data. The results of the study show that although observers performed somewhat better with the newly developed LOCS than with the previously advocated heated-object color scale, they performed signiicantly better with a linearized gray scale than with either of the color scales. Possible resons for this result are discussed.
Using Object-Oriented Design Metrics to Predict Software Defects 1*

Many object-oriented design metrics have been developed [1,3,8,17,24] to help in predict software defects or evaluate design quality. Since a defect prediction model may give crucial clues about the distribution and location of defects and, thereby, test prioritization, accurate prediction can save costs in the testing process. Considerable research has been performed on defect prediction methods; see the surveys by Purao and Vaishnavi [22] and by Wahyudin et al. [25], unfortunately few results appear at statistically significant level. Therefore, further empirical validation is necessary to prove the usefulness of the metrics and software prediction models in industrial practice. Our study was made possible through the creation of a new metric calculation tool. There are many tools that calculate object-oriented metrics. What is the reason to create another one? In fact the situation is not so perfect. The available programs are either extremely inefficient (sometimes they do not work with big software projects at all), not available as open source and therefore difficult to reason about their results, or incomplete — the set of calculated metrics is not wide enough. It is extremely hard to find a tool that calculates all metrics from the Chidamber and Kemerer (C&K) metrics suite [3]. Having both, C&K and QMOOD metrics suites [1] in one tool is even rarer, and according to the authors' knowledge there is no other tool, that calculates metrics suggested by Tang et al. [24]. Ckjm calculates metrics that have been recommended as good quality indicators. There are several works that investigate the C&K metric suite and that have empirically proven their usability in quality or defect prediction [2, 10, 11, 20]. There are recommendations about QMOOD metrics suite [1, 20] and the quality oriented extension of C&K [24] too. Ckjm does not offer a GUI and its focus is not on
Organizational Behavior: Perceptions Analysis of Micro and Macro Organizational Behavior in an Organizational Setting

Understanding organizational behavior (OB) has profoundly influenced organizational performance and how people behave in organizations. Researchers have suggested various micro and macro organizational behaviors to be the impetus for high-performing organizations. Through a policy capturing approach this study builds on these findings by specifically examining the perceptions of micro and macro organizational behaviors in an organizational setting. The participants (n =181) completed a Micro and Macro Organizational Behavior Perceptions Questionnaire. Results showed perception differences exist between subordinates and supervisors. Additionally, participants perceived job satisfaction to be the most important micro organizational behavior, whereas organizational design was perceived to be the most important macro organizational behavior. However when comparing hierarchal positions in the organization, supervisors weighted leadership as the most important and subordinates weighted job satisfaction as the most important organizational behavior. While these findings only scratch the surface as to how organizational behavior is perceived, the implications challenge leaders to close the OB perception gap. Correspondingly, organizational behavior thinking may result in improving individual and organizational performance.
Global inventory and characterization of pyroclastic deposits on Mercury: New insights into pyroclastic activity from MESSENGER orbital data

We present new observations of pyroclastic deposits on the surface of Mercury from data acquired during the orbital phase of the MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) mission. The global analysis of pyroclastic deposits brings the total number of such identified features from 40 to 51. Some 90% of pyroclastic deposits are found within impact craters. The locations of most pyroclastic deposits appear to be unrelated to regional smooth plains deposits, except some deposits cluster around the margins of smooth plains, similar to the relation between many lunar pyroclastic deposits and lunar maria. A survey of the degradation state of the impact craters that host pyroclastic deposits suggests that pyroclastic activity occurred on Mercury over a prolonged interval. Measurements of surface reflectance by MESSENGER indicate that the pyroclastic deposits are spectrally distinct from their surrounding terrain, with higher reflectance values, redder (i.e., steeper) spectral slopes, and a downturn at wavelengths shorter than ~400 nm (i.e., in the near‐ultraviolet region of the spectrum). Three possible causes for these distinctive characteristics include differences in transition metal content, physical properties (e.g., grain size), or degree of space weathering from average surface material on Mercury. The strength of the near‐ultraviolet downturn varies among spectra of pyroclastic deposits and is correlated with reflectance at visible wavelengths. We suggest that this interdeposit variability in reflectance spectra is the result of either variable amounts of mixing of the pyroclastic deposits with underlying material or inherent differences in chemical and physical properties among pyroclastic deposits.
Lpt Codes Used with Roam Splitting Algorithm Cmsc451 Honors Project

Simplicial meshes are commonly used to represent regular triangle grids. Of many areas, simplicial meshes are useful in the area of terrain rendering within computer graphics. In this project, I write an implementation of Atalay and Mount's LPT code representation of simplices. I implement part of the ROAM terrain algorithm that splits simplices down to a desired level of detail. I make several modifications to the LPT code representation. I test these varying representations in several scenarios.
A survey analysis on duplicate detection in Hierarchical Data

Electronic Data Processing used automated methods for processing commercial data. There is big amount of work on discovering duplicates in relational data; merely elite findings concentrate on duplication in additional multifaceted hierarchical structures. Electronic information is one of the key factors in several business operations, applications, and determinations, at the same time as an outcome, guarantee its superiority is necessary. Data superiority, on the other hand, can be adjusted by different kind of errors from the heterogeneous domains. Duplicates are several delegacy of the identical real world thing which is dissimilar from each other. Duplicate finding a little assignment because of the actuality that duplicates are not accurately equivalent, frequently because of the errors in the information. Accordingly, many data processing techniques never apply widespread assessment algorithms which identify precise duplicates. As an alternative, evaluate all objective representations, by means of a probably compound identical approach, to identifying that the object is real world or not. In this paper we given detailed survey analysis and groundwork on duplicate detection in hierarchical data. Also we proposed a new idea i.e. use of pruning algorithm to detect similarity between the objects. This survey paper is useful to the persons who are doing research in Duplicate Detection in XML data or Hierarchical Data.
MIMO RADAR PERFORMANCE USING SWERLING SCATTERING MODELS

The performance of multiple input multiple output (MIMO) radar configurations of distributed antennas are analyzed. Statistical multiple input multiple output (MIMO) radar develops angular diversity to mitigate the impact of radar cross section fluctuations (RCF). The fluctuations can be modeled with scattering model consists of non-orthogonal waveforms for fast target or radar cross section fluctuations (RCF). Consider the performance of the statistical MIMO RADAR under the influence of the scattering model, which is commonly used in the radar community to model the distribution and the temporal correlation of the target radar cross section (RCS). In this project both target detection and direction of arrival estimation are considered.
The Processing and Analysis of in situ Gene Expression Images of the Mouse Brain

Many important high throughput projects use in situ gene expression detection technology and require the analysis of images of spatial cross sections of organisms taken at cellular level resolution. Projects creating gene expression atlases at unprecedented scales for the embryonic fruit fly as well as the embryonic and adult mouse already involve the analysis of hundreds of thousands of high resolution experimental images. We present an end-to-end approach for processing raw in situ expression imagery and performing subsequent analysis. We use a nonlinear image registration technique specifically adapted for mapping expression images to anatomical annotations and a method for extracting expression information within an anatomical region. We also present a new approach for jointly clustering the rows and columns of a matrix and we relate clustered patterns to Gene Ontology (GO) annotations. Our approach should be applicable to a variety of in situ experiments but we focus here on imagery and experiments of the mouse brain – an application with tremendous potential for increasing our fundamental understanding of neural information processing systems.
Improved Cardiovascular Risk among Hispanic Border Participants of the Mi Corazón Mi Comunidad Promotores De Salud Model: The HEART II Cohort Intervention Study 2009–2013

Background Community resources (parks, recreational facilities) provide opportunities for health promotion, but little is known about how to promote utilization of these resources and their impact on cardiovascular disease risk (CVD). Methods This cohort study evaluated the impact of an intervention called Mi Corazon Mi Comunidad (MiCMiC), which consisted of promoting use of community physical activity and nutrition resources by Promotoras de Salud/Community Health Workers. Participants were assessed at baseline and following the 4-month intervention. Attendance records were objectively collected to assess utilization of intervention programing. Results A total of five consecutive cohorts were recruited between 2009 and 2013. Participants were mostly females (86.0%), on average 46.6 years old, and 81% were low in acculturation. Participants who completed follow-up (n = 413) showed significant improvements in reported health behaviors and body composition. Higher attendance significantly predicted greater improvements. The baseline to 4-month change for the highest vs. the lowest attendance quartiles were for weight (−5.2 vs. +0.01 lbs, p < 0.001), waist circumference (−1.20 vs. −0.56 inches, p = 0.047), hip circumference (−1.13 vs. −0.41 inches, p < 0.001); hours of exercise/week (+3.87 vs. +0.81 hours, p < 0.001), proportion of participants eating five servings of fruits and vegetables/day (+54.7 vs. 14.7%, p < 0.001). Conclusion Following the Promotora-led MiCMiC intervention, substantial improvements in health behaviors and modest improvements in cardiovascular risk factors were found. Greater utilization of community resources was associated with more favorable changes. This study provided preliminary evidence for the effectiveness of Promotora-led interventions for promoting use of existing community resources in CVD risk reduction.
Time evolution of 1D gapless models from a domain-wall initial state: SLE continued ?

We study the time evolution of quantum one-dimensional gapless systems evolving from initial states with a domain-wall. We generalize the path-integral imaginary time approach that together with boundary conformal field theory allows to derive the time and space dependence of general correlation functions. The latter are explicitly obtained for the Ising universality class, and the typical behavior of one- and two-point functions is derived for the general case. Possible connections with the stochastic Loewner evolution are discussed and explicit results for one-point time dependent averages are obtained for generic \kappa for boundary conditions corresponding to SLE. We use this set of results to predict the time evolution of the entanglement entropy and obtain the universal constant shift due to the presence of a domain wall in the initial state.