Miracle-dz/UniFAR-FTUs huggingface dataset:
Bandwidth-Compensation Method for Miniaturized Parallel Coupled-Line Filters

This paper proposes a bandwidth-compensation method for miniaturized filters based on short-ended parallel coupled lines. Capacitive loading of such coupled lines is a relatively simple means of reducing the line lengths. In this study, a method is developed that predicts exactly the degree of reduction in the fractional bandwidth due to miniaturization. Using this method, the fractional bandwidth of the prototype coupled line filter can be adjusted, enabling miniaturized filters to maintain the targeted fractional bandwidth. The proposed bandwidth-compensation method applies for any type of filters with coupled lines realized with various transmission lines, with uniform or nonuniform line lengths. Experimental results are also presented that verify the validity of the method.
Mobile Geotumba: Geographic Information Retrieval System for Mobile Devices

Current information retrieval (IR) systems are not designed to be used in mobile devices. This occurs, because existing IR systems only recently began to offer local services and largely ignore geo-spatial information that can be inferred from the analysis of Web pages and do not recognize the geographic context that can be extracted from the mobile devices. In order to integrate the geographic context in the IR systems, new methods, algorithms and software architectures have to be proposed. This article presents mobile Geotumba, a geographic information retrieval system, describing the main challenges of designing user interfaces for mobile devices, new methods for defining the user geographical context and visualizing the retrieved information.
PERIODIC SIGNAL EXPANSION WITH WAVELETS ON COMPACTLY SUPPORTED INTERVAL

This paper systematically provides information for periodic signal expansion with wavelets on compactly supported interval. Basing on the fruit of generic periodic multi-resolution analysis (PMRA), the paper studies two typical cases, i.e. periodic signals with 1 period and with the finite interval, both of which are the representatives of various periodic signals on real line. It proves that the wavelet expansion of all types of periodic signals can be normalized to the framework of generic PMRA. From the application point of view, the paper also discusses several critical aspects of periodic signal expansion and reconstruction in numerical computation
Bilinear Neighborhood Discriminant Embedding and Its Non-Iterative Solution Algorithm

This paper explores the use of Bilinear Neighborhood Discriminant Embedding (BLNDE) as a means to improve the performance of face recognition. BLNDE, which is based on graph embedding, utilizes the original image data directly and takes into account the row and column correlations of image matrix. By constructing the local within-class and between-class nearest-neighbor graphs and introducing the uncertainty factor, which is proposed as the individual property to describe the contribution to classification of each sample, into the process of dimensionality reduction, BLNDE achieves the purpose to gather the within-class samples and separate the between-class samples in feature subspace. Experiments are performed using the ORL face data set, which is proposed by Olivetti Research Laboratory. Results indicate that BLNDE outperforms Generalized Low Rank Approximations of Matrices (GLRAM) and Two-Dimensional Linear Discriminant Analysis (2DLDA).
DASS: Detail Aware Sketch-Based Surface Modeling

We present a sketch-based modeling system suitable for detail editing, based on a multilevel representation for surfaces. The main advantage of this representation allowing for the control of local (details) and global changes of the model. We used an adaptive mesh (4-8 mesh) and developed a label theory to construct a manifold structure, which is responsible for controlling local editing of the model. The overall shape and global modifications are defined by a variational implicit surface (Hermite RBF). Our system assembles the manifold structures to allow the user to add details without changing the overall shape, as well as edit the overall shape while repositioning details coherently.
Mobile questionnaires for user experience evaluation

As user experience studies move from laboratories to mobile context, we need tools for collecting data in natural settings. Based on the results from a pilot study, we present early guidelines for designing mobile questionnaires to be filled in on handheld, palm-sized mobile devices. We found that special attention needs to be paid to the clarity and simplicity of the structure, layout and questionnaire content, including questions, visual icons, items and scales. In addition to the requirements set by the screen size, also data entry method, interaction style and mobile context related issues need to be taken into account when designing questionnaires for mobile devices.
Sogou Query Log Analysis: A Case Study for Collaborative Recommendation or Personalized IR

Through analyzing the search engine logs, we can better understand the law o users’ search behavior, mining users’ personality, so that improving the performances of web information retrieval. This paper analyzes the user, query, clickthrough data of Sogou, a large-scale Chinese search engine. We focus on the relation of user, query and URL, revealing some new characteristic of the Web user. The result shows that the portal websites are visited most frequently. The average user of Sogou clicks 4.82 URL, including 1.72 distinct URL. This paper demonstrates the necessity of personalized information retrieval, which is enlightening for improving the performance of Chinese search engine.
Evolution of Cooperation in a Spatial Prisoner's Dilemma

We investigate the spatial distribution and the global frequency of agents who can either cooperate or defect. The agent interaction is described by a deterministic, non-iterated prisoner's dilemma game, further each agent only locally interacts with his neighbors. Based on a detailed analysis of the local payoff structures we derive critical conditions for the invasion or the spatial coexistence of cooperators and defectors. These results are concluded in a phase diagram that allows us to identify five regimes, each characterized by a distinct spatiotemporal dynamics and a corresponding final spatial structure. In addition to the complete invasion of defectors, we find coexistence regimes with either a majority of cooperators in large spatial domains, or a minority of cooperators organized in small non-stationary domains or in small clusters. The analysis further allowed a verification of computer simulation results by Nowak and May (1993). Eventually, we present simulation results of a true 5-person game on a lattice. This modification leads to non-uniform spatial interactions that may even enhance the effect of cooperation.
Saliva and Dental Caries

Caries is a unique multifactorial infectious disease. Our understanding of etiological factors, the progress of the disease, and the effectiveness of prophylactic procedures have led us to believe that we understand the disease. However, we still have too few answers to many questions: "Why can we not predict who will get the disease? " "Why do we not become immunized? " "How much saliva is enough? " or "Which salivary components are protective? " and "Which salivary components predispose for caries? " It is generally accepted, however, that saliva secretion and salivary components secreted in saliva are important for dental health. The final result, "caries to be or not to be", is a complex phenomenon involving internal defense factors, such as saliva, tooth surface morphology, general health, and nutritional and hormonal status, and a number of external factors-for example, diet, the microbial flora colonizing the teeth, oral hygiene, and fluoride availability. In this article, our aim is to focus on the effects of saliva and salivary constituents on cariogenic bacteria and the subsequent development of dental caries.
Sparse Gaussian graphical models with unknown block structure

Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization methods to find the penalized maximum likelihood estimate. This is similar to performing MAP estimation with a prior that prefers sparse graphs. In this paper, we use the stochastic block model as a prior. This prefer graphs that are blockwise sparse, but unlike previous work, it does not require that the blocks or groups be specified a priori. The resulting problem is no longer convex, but we devise an efficient variational Bayes algorithm to solve it. We show that our method has better test set likelihood on two different datasets (motion capture and gene expression) compared to independent L1, and can match the performance of group L1 using manually created groups.
Un análisis del vínculo abuelos nietos-adolescentes reflexión sobre la transmisión generacional

This study is based on an exploratory and descriptive study about the intergenerational relations between grandparents and their adolescent grandchildren. It is an effort to understand, from the perspective of the adolescent, the communications, meanings and affections associated to these transgenerational ties. It seeks to identify differences in relations with grandfathers and grandmothers, as well as possible differences in ties between paternal and maternal grandparents. Differences were identified based on a voluntary choice to engage in activities with maternal grandparents. Meanwhile, relations with paternal grandparents seem to reflect activities of an obligatory nature, which are not related to apparent pleasure, but to be an integral part of the adolescents' identities and their intergenerational and transgenerational ties.
Empowerment, Capabilities and Homelessness: The Limitations of Employment-focused Social Enterprises in Addressing Complex Needs

Abstract ‘Empowerment’ is often said to be a key objective of policies aiming to improve the lives of homeless people and other vulnerable groups. This paper contends that Sen and Nussbaum’s influential ‘capability’ approach provides an appropriate means of operationalising this arguably nebulous concept. Via a critique of work-focused social enterprises in the homelessness field, as promoted by successive UK governments, it seeks to demonstrate the importance of a multi-dimensional approach to enhancing the capabilities of homeless people with complex support needs. Specifically, it argues for attention to be given to four (independently important) empowerment ‘domains’: the bodily domain; the political and economic domain; the social and emotional domain; and the creative, intellectual and self-development domain. This broad-based understanding of empowerment implies that a balance must be struck between specialist provision, such as the bespoke social enterprises focused upon in this paper, and more integrative models which seek to support homeless people in ordinary community and workplace settings.
Multi-resolution pyramidal Gabor-eigenface algorithm for face recognition

This paper describes a multi-resolution pyramidal Gabor-eigenface (PGE) algorithm for face recognition. The PGE algorithm employs the eigenface method on the desirable Gabor facial features, which derive from the multi-resolution pyramidal Gabor wavelet (PGW) transform of face images in the spatial domain directly without a Fourier implementation. The use of eigenface method further reduces the redundancy of the images from PGW. The feasibility of the PGE algorithm has been successfully tested on face recognition using AT&T (formally Olivetti) face databases, which contain 400 face images of 40 subjects with variation in poses, facial expression, different viewing direction, and disguises. The effectiveness of the PGE algorithm is shown in terms of better accuracy, faster computational speed and much less computer memory amount.
I know I stored it somewhere - Contextual Information and Ranking on our Desktop

1 Motivation Future digital libraries will be distributed, and recent research has already explored some promising approaches focusing on distributed and peer-to-peer search and retrieval architectures, connecting distributed repositories efficiently and transparently. Another aspect, which has been less explored so far, is the role of the implicit personal repositories we all have on our desktops, and the efficiency we expect to gain from storing important resources in these " personal digital libraries ". Ironically, in many cases, moving important resources closer to our workspace results in less retrieval efficiency. Sophisticated web search technology usually allows us to find appropriate documents in a few seconds. Finding these documents on our desktop is surprisingly more difficult, at least if we have been storing documents for a few years or more. This is improving somewhat with the recent crop of desktop search engines, but even with these tools, searching through our (relatively small set of) personal documents with the recent beta of Google Desktop Search is inferior to searching the (rather vast set of) documents on the web with Google. The main reason for this is that one of the distinguishing features of Google-sophisticated ranking using PageRank and other features-is unavailable on our desktop. This position paper explores some of the information we have available on our desktop to extend search beyond simple full-text search, and the algorithms we can build upon this information, implementing efficient ranking of resources on our desktop. Regarding the first aspect, we propose activity-based metadata and relationships as sources of additional information in desktop search. This information in many cases represents contextual information, which is very useful for re-finding resources we already worked with. We will describe corresponding metadata for two selected scenarios. For the second aspect, we will focus on recent advances of PageRank-based ranking, extending models such as the ones describing our contextual information, and show how local and global ranking measures can be integrated in such a model. These two techniques together show considerable promise for extending efficient information access to our desktop, extending globally available information with user-centered activity-based information, and exploiting the unique information background we have available on our desktop. We are currently implementing first prototypes in the context of the open source Beagle project which aims to provide sophisticated desktop search in Linux.
Cycles without pollution: a gradual typing poem

It is fairly intuitive that adding dynamic typing to a statically typed language can add some convenience to a developer, at the price of weakening the guarantees of the type system. Surprisingly, the reverse is also true. This paper presents a programming poem á la Dan Friedman illustrating that temporarily circumventing the type system via a gradual typing cast can actually strengthen the guarantees of the type system overall. The paper first presents a challenge to write a small but interesting program. It proceeds by exploring how it could be written in Haskell and in SML (showing and discussing runnable code). It then gives the Typed Scheme version in a slower, more tutorial style, since the reader is assumed to be more familiar with Haskell and SML than Typed Scheme. Along the way, the paper shows how the Typed Scheme version overcomes weaknesses in the earlier versions. The key insight is that gradual typing enables us to view a data structure with two different types, one during the creation and one during use. The type during creation allows more operations that are needed to build an element of the data structure, and the type during use exposes more invariants of the data structure that can then be used to guarantee properties of the clients (termination, in this case).
Magnetoencephalography in Pediatric Lesional Epilepsy Surgery

This study was performed to assess the usefulness of magnetoencephalography (MEG) as a presurgical evaluation modality in Korean pediatric patients with lesional localization-related epilepsy. The medical records and MEG findings of 13 pediatric patients (6 boys and 7 girls) with localization-related epilepsy, who underwent epilepsy surgery at Seoul National University Children's Hospital, were retrospectively reviewed. The hemispheric concordance rate was 100% (13/13 patients). The lobar or regional concordance rate was 77% (10/13 patients). In most cases, the MEG spike sources were clustered in the proximity of the lesion, either at one side of the margin (nine patients) or around the lesion (one patient); clustered spike sources were distant from the lesion in one patient. Among the patients with clustered spike sources near the lesion, further extensions (three patients) and distal scatters (three patients) were also observed. MEG spike sources were well lateralized and localized even in two patients without focal epileptiform discharges in the interictal scalp electroencephalography. Ten patients (77%) achieved Engel class I postsurgical seizure outcome. It is suggested that MEG is a safe and useful presurgical evaluation modality in pediatric patients with lesion localization-related epilepsy.
Circulating miR-126 and miR-499 reflect progression of cardiovascular disease; correlations with uric acid and ejection fraction

Background The aim of this study was to assess plasma levels of endothelium- and heart-associated microRNAs (miRNAs) miR-126 and miR-499, respectively, using quantitative reverse transcriptase polymerase chain reaction. Methods A two-step analysis was conducted on 75 patients undergoing off-pomp coronary artery bypass graft (CABG) surgery. Five biomarkers of inflammation and cardiac injury were assessed in addition to the above-mentioned miRNAs. Results Plasma concentrations of miRNAs were found to be significantly correlated with plasma levels of cardiac troponin I (cTnI) (miR-499, r 0.49, p~0.002; miR-126, r = 0.30, p~0.001), indicating cardiac damage. Data analysis revealed that miR-499 had higher sensitivity and specificity for cardiac injury than miR-126, which reflects more endothelial activation. Interestingly, a strong correlation was observed between both miRNAs and uric acid (UA) levels with ventricular contractility measured as ejection fraction (EF) (miR-499/EF%, r = 0.58, p~0.004; UA/EF%, r = -0.6, p~0.006; UA/miR-499, r = -0.34; UA/miR-126, r = 0.5, p~0.01). Conclusions In patients undergoing CABG, circulating miR-126/499 is associated with presentation of traditional risk factors and reflects post-operative response to injury. Plasma pool of miRNAs likely reflects extracellular miRNAs which are proportional to intracellular miRNA levels. Therefore, circulating levels of these miRNAs have prognostic implications in detection of higher risk of future cardiovascular events.
Representing the Translation Relation in a Bilingual Wordnet

This paper describes representing translations in the Finnish wordnet, FinnWordNet (FiWN), and constructing the FiWN database. FiWN was created by translating all the word senses of the Princeton WordNet (PWN) into Finnish and by joining the translations with the semantic and lexical relations of PWN extracted into a relational (database) format. The approach naturally resulted in a translation relation between PWN and FiWN. Unlike many other multilingual wordnets, the translation relation in FiWN is not primarily on the synset level, but on the level of an individual word sense, which allows more precise translation correspondences. This can easily be projected into a synset-level translation relation, used for linking with other wordnets, for example, via Core WordNet. Synset-level translations are also used as a default in the absence of word-sense translations. The FiWN data in the relational database can be converted to other formats. In the PWN database format, translations are attached to source-language words, allowing the implementation of a Web search interface also working as a bilingual dictionary. Another representation encodes the translation relation as a finite-state transducer.
Motor Adaptation and Automaticity in People with Parkinson's Disease and Freezing of Gait

xii Chapter 1: Background, rationale, and specific aims . 1 1.1 Parkinson’s disease . 1 1.2 Freezing of gait . 2 1.3 Motor adaptation . 4 1.4 Motor automaticity. 7 1.5 Oculomotor function in PD . 9 1.6 Rationale for studies . 11 1.7 Specific Aims . 12 1.7. 1 Specific Aim 1 . 12 1.7. 2 Specific Aim 2 . 13 1.7. 3 Specific Aim Appendix . 13 Chapter 2: Prism adaptation in Parkinson disease: Comparing reaching to walking and freezers to non-freezers . 14 2.1 Abstract . 15 2.2 Introduction . 15 2.3 Materials and Methods . 18 2.3. 1 Participants . 18
Factors associated with increased risk for pain catastrophizing in patients with chronic neck pain

Abstract Pain catastrophizing is becoming increasingly recognized as a clinically important psychological factor in chronic musculoskeletal pain. In this retrospective cross-sectional study, we have identified factors associated with an increased risk for pain catastrophizing in chronic neck pain (CNP) patients. We obtained data from our medical database on 331 patients who were treated for neck pain as their chief complaint at our clinic. The Pain Catastrophizing Scale (PCS) was used to define a high pain catastrophizing state (PCS score ≥21) in this study. Patient demographics, pain-related factors, and psychological factors were evaluated with logistic regression analysis to identify risk factors of high pain catastrophizing among patients with CNP. A total of 256 patients with CNP satisfied the study inclusion criteria and were included in the analyses. The median PCS score was 16 (range, 0–45), and 86 of 256 patients (33.5%) reported a PCS score ≥21. In multivariate analysis, high pain intensity, clinical insomnia, and a high level of depression/anxiety were strongly associated with high pain catastrophizing in patients with CNP. Depression was the strongest predictor of high pain catastrophizing, with an odds ratio of 7.35 (95% confidence interval 2.23–24.22). High pain catastrophizing was not significantly related to age, gender, comorbidities, or neck pain-related physical symptoms. In conclusion, poor psychological states should be addressed as an important part of pain management in CNP patients who are susceptible to high pain catastrophizing.