Miracle-dz/UniFAR-FTUs huggingface dataset:
Representation of Real-life 3D Models by Spatial Patches

The commonly used solution for real-life 3D model representation is polygonal spatially consistent geometry, with texture, and, optionally, bump or displacement maps attached. Although the idea of displacement mapping is well known, there are just a few approaches to its efficient implementation. In this paper we present a technique that allows for efficient representation and rendering of real-life 3D models by getting a new angle on the displacement mapping concept. We introduce a new primitive that is defined as the range image of a small part of the model’s surface; therefore, it is called a spatial patch. The whole model is just a collection of patches with no connectivity information between them. Such a representation can be directly acquired by 3D scanning machinery, and stored in a compact uniform form. It also allows for efficient visualization. In this paper we present some aspects of spatial patch rendering technique that utilize conventional z-buffer and benefit from modern features of computing units. We also discuss our experience in representing 3D models by spatial patches, provide some practical results and set up directions for future work. Our preliminary evaluation of the technique makes us believe that spatial patch technology can be efficiently used in a wide range of applications dealing with real-life 3D data.
Screening for Alcohol Problems: A Comparison of Instrument Performance Between the Er and the General Population Among Mexican Americans in the U.S. And Mexicans in Mexico

Relatively little is known about the performance of screening instruments for alcohol use disorders in the general population compared to clinical populations, or among Mexicans or Mexican Americans. The sensitivity and specificity of three screening measures: CAGE, TWEAK, and holding five or more drinks (HOLD), for alcohol dependence, are compared between ER and general population samples in the U.S. (Santa Clara, County, California) and in Mexico (Pachuca). In Pachuca sensitivity of the TWEAK and HOLD was significantly better in the general population compared to the ER, while in Santa Clara sensitivity of the CAGE was significantly better in the ER compared to the general population. HOLD appeared to perform better in the general population than in the ER in Santa Clara. The data suggest differential performance of screening instruments among Hispanics in the general population compared to the ER in both the U.S. and Mexico, and HOLD may be the measure of choice for identifying alcohol use disorders in the Hispanic general population.
Statistical natural language generation for speech-to-speech machine translation systems

ABSTRACTThispaper presents a statisticalnatural language generation schemefor trainable speech-to-speech machine translation (MT) systemsfor limited domain applications using a cascaded approach. Thenatural language generation scheme in the translation systems isbased on a maximum entropy (ME) statistical model fully trainedfrom a corpus, allowing ﬂexible translation outputs. In this pa-per, the system architecture and some of its components, includingthe parsing, information extraction, and translation etc are brieﬂyoverviewed, followed by the descriptions of training and search al-gorithms for ME based sentence level NLG within the MT context.Details of NLG including feature selection and robustness are alsoaddressed. We have implemented the described system for trans-lating between Chinese speech and English speech in an air travelapplication domain. Encouraging experimental results have beenobserved and are presented.1. INTRODUCTIONCommerce and travel have created an ever increasing need fortranslation between languages. Recently, progress in the ﬁelds ofspeech and language processing have begun to allow the creationof automated systems to accomplish this task. However, the tech-nical challenges of creating a useful speech-to-speech translationdevice pushes against the limitations of current technologies suchas speech recognition, natural language understanding, machinetranslation, natural language generation, and text-to-speech syn-thesis. There have been numerous efforts to create such a devicein recent years.Many technological frameworks have been proposed for thetask of speech translation, ranging from a cascaded approach [1]to ﬁnite state transducers [2]. Recently, we presented a speechtranslation system [3] employing a statistical framework appropri-ate for use in language restricted domains. In a cascaded approach,the recognition results obtained in the speaker’s language are an-alyzed and then, through a series of distinct abstract representa-tions, corresponding sentences are generated in the language ofthe listener. Other cascaded speech translation systems have beenproposed in the past few years. However, most of the generationcomponents in such systems are based on ﬁxed templates, which
The Academic As Informant: Methodological and Theoretical Issues in the Ethnography of Intellectuals

This paper discusses some of the methodological and theoretical issues raised by ethnographic research on academics and intellectuals outside of one's own country. Using material from fieldwork carried out by an anthropologist from the US in the Republic of Ireland in 1986-87, the article addresses the nature of the ethnographer's interpretive authority in reference to two related issues: that of the junior scholar conducting research on senior academics, and that of the foreign anthropologist studying native intellectuals. The article examines the practical dilemmas posed by such research in the context of increased ethnographic interest in elites, as well as the problems raised by the need to integrate indigenous intellectual understandings into a reflexive anthropology. It also discusses the difficulties of positioning oneself within foreign academic communities and evaluating their complex responses to outsiders'ethnographic practice and interpretation in the light of potential antagonism toward forei.
A Modified Questionnaire to Find Out the Association of Depression with Increased Mortality, Among Urban Decedents, Dying Due to Various Causes

Introduction: Depression and Type A behaviour are important risk factors of death due to cardiovascular disease (CVD) and diabetes. Depression also predisposes deaths due to suicides. In the present study, we examine the association of endogenous depression with causes of deaths and accuracy of the questionnaire for diagnosis, among urban decedents in a lower middle income country. Methods: We studied the randomly selected record1s of death of 2222 (1385 men and 837 women) decedents, aged 25-64 years, out of 3034 death records overall from the records at Municipal Corporation, Moradabad, India. All the families of these decedents could be contacted individually to find out the causes of death, by scientist/doctor administered, informed consented, verbal autopsy questionnaire, completed with the help of the spouse and local treating doctor practising in the appropriate health care region. Clinical data and causes of death were assessed by a questionnaire based on available hospital record and verbal autopsy questionnaire, suggested by WHO and International College of Nutrition (ICN). Decedents were classified into mild to moderate and severe depression based on available records and verbal autopsy questionnaire validated for this study by Agnieszka. The association of depression with causes of death was calculated by Mantel-Haesnzel Chi square test. Results: Several of the decedents had mild to moderate depression (n=153, 6.88%) (men 6.64 %, n=92; and women 7.28 %, n=61). The prevalence of severely depressed victims was similar among men (1.08%, n=15) women 1.67% (n=14) with a total of 1.3%(n=29). The total prevalence of depression was 8.19% (n=182). There was an overall increase in diabetes mellitus, hypertension, and CAD among decedents with depression and the trend was significant. The prevalence of depression showed a significant rising trend among decedents dying due to circulatory and suicidal causes of death, both among men and women. Multivariate logistic regression analysis after adjustment of age and body mass index revealed that hypertension and CAD and diabetes mellitus were strongly associated whereas depression and sedentary behaviour were weakly associated with risk of deaths due to CVDs. Social class 3 and 4 were not associated with risk of deaths due to CVDs and diabetes. Depression was an important risk factor of deaths due to CVDs and suicides. Conclusions: The prevalence of depression was substantial among decedents dying due to various causes of death as revealed by the Agnieszka's questionnaire. Depression may be accurately diagnosed as contributing risk factor among decedents dying due to circulatory diseases and suicides.Larger studies would be necessary to demonstrate the accuracy of the questionnaire in the diagnosis of depression and its association of with causes of death among decedents.
Multi-user interaction on media facades through live video on mobile devices

The increasing number of media facades in urban spaces offers great potential for new forms of interaction especially for collaborative multi-user scenarios. In this paper, we present a way to directly interact with them through live video on mobile devices. We extend the Touch Projector interface to accommodate multiple users by showing individual content on the mobile display that would otherwise clutter the facade's canvas or distract other users. To demonstrate our concept, we built two collaborative multi-user applications: (1) painting on the facade and (2) solving a 15-puzzle. We gathered informal feedback during the ARS Electronica Festival in Linz, Austria and found that our interaction technique is (1) considered easy-to-learn, but (2) may leave users unaware of the actions of others.
The Influence of Stay Time on Purchase Behavior in a Supermarket

In this paper, we present a study on the shopping behavior of customers based on the RFID(Radio Frequency IDentification) data in a Japanese supermarket. Through RFID data, it is possible to capture the individual difference of customers how to spend time on shopping in a certain area of the supermarket. Firstly, we deal with the RFID data of the customer shopping behavior and transform it to the stay time for each area of the supermarket. Then, we describe a criterion to evaluate the stay time and illustrate the influence of the stay time on purchase of customer with examples. Finally, through the examples, we discuss what kind of customer is knowledgeable consumer who has a high-level knowledge about the supermarket.
A revocation scheme for the cloud computing environment

In order to meet the authentication requirement of the revoking frequently and dynamic network environment, a revocation scheme for the cloud computing environment is proposed. The entering, leaving, revoking and authentication of entities are implemented based on the public key cryptography and the secure dynamic one-way accumulator, and the cross-domain property is also supported. The results show that the proposed scheme is provable secure to realize the identity authentication, session key agreement and key update with entity secrecy and perfect forward secrecy etc. In the cloud computing environment, compared with the existing schemes, this solution has a higher level of security, better performance and more comprehensive problem solving for revocation.
Avaliação de objetos de aprendizagem sobre o sistema digestório com base nos princípios da Teoria Cognitiva de Aprendizagem Multimídia

This research aims to assess Learning Objects (OA) digitally related to the theme "digestive system" based on some principles of Cognitive Theory of Multimedia Learning (CTML) Mayer (2005). OA was selected for its easy access, zero cost for the end user, presentation in Portuguese language and appropriateness for middle level students. It was observed that most of these instructional models did not give much emphasis to the principles of this theory in their construction and production. The results of this study indicate that, in relation to the "digestive system" content, there is a need for the planning and construction of OA to be guided by principles and criteria aiming to make the use of multimedia resources more efficient, and able to make the necessary adjustments and corrections so they can meet the principles of CTML satisfactorily.
Single- and dual-arm motion planning with heuristic search

Heuristic searches such as the A* search are a popular means of finding least-cost plans due to their generality, strong theoretical guarantees on completeness and optimality, simplicity in implementation and consistent behavior. In planning for robotic manipulation, however, these techniques are commonly thought of as impractical due to the high dimensionality of the planning problem. In this paper, we present a heuristic search-based approach to motion planning for manipulation that does deal effectively with the high dimensionality of the problem. Our approach achieves the necessary efficiency by exploiting the following three key principles: (a) representation of the planning problem with what we call a manipulation lattice graph; (b) use of the ARA* search which is an anytime heuristic search with provable bounds on solution suboptimality; and (c) use of informative yet fast-to-compute heuristics. The paper presents the approach together with its theoretical properties and shows how to apply it to single-arm and dual-arm motion planning with upright constraints on a PR2 robot operating in non-trivial cluttered spaces. An extensive experimental analysis in both simulation and on a physical PR2 shows that, in terms of runtime, our approach is on a par with other most common sampling-based approaches despite the high dimensionality of the problems. In addition, the experimental analysis shows that due to its deterministic cost minimization, the approach generates motions that are of good quality and are consistent, in other words, the resulting plans tend to be similar for similar tasks. For many problems, the consistency of the generated motions is important as it helps make the actions of the robot more predictable for a human controlling or interacting with the robot.
Light Emission Color Conversion of Polyfluorene-Blend OLEDs Induced by Thermal Annealing

This paper investigated the applicability of thermal annealing to be used for the color conversion of organic light-emitting diodes (OLEDs) made of a blend of light-emitting polyfluorenes. Blue-light-emitting polyfluorene poly(9,9-di-n-octylfluorenyl-2,7-diyl) (PFO) was used as the host material and green-light-emitting polyfluorene poly[(9,9-di-n-octylfluorenyl-2,7-diyl)-alt-(benzo[2,1,3]thiadiazol-4,8-diyl)] (F8BT) as the dopant material. Annealing treatment was conducted at the temperatures of 150 °C and 270 °C, before top contact deposition. Both nonannealed OLEDs and those annealed at 270 °C showed green color emission, implying that emission was taking place via the dopant material F8BT. Instead, the light emission color of the OLEDs annealed at 150 °C was shifted to white upon a rise of a blue spectral component. The origin of the blue light emission was attributed to PFO and indicated considerable phase separation between PFO and F8BT. This paper showed that thermal annealing can be applied to modify the light emission color of polyfluorene-blend OLEDs.
Analysis of Multiple HPV E6 PDZ Interactions Defines Type-Specific PDZ Fingerprints That Predict Oncogenic Potential

The high-risk Human Papillomavirus (HPV) E6 oncoproteins are characterised by the presence of a class I PDZ-binding motif (PBM) on their extreme carboxy termini. The PBM is present on the E6 proteins derived from all cancer-causing HPV types, but can also be found on some related non-cancer-causing E6 proteins. We have therefore been interested in investigating the potential functional differences between these different E6 PBMs. Using an unbiased proteomic approach in keratinocytes, we have directly compared the interaction profiles of these different PBMs. This has allowed us to identify the potential PDZ target fingerprints of the E6 PBMs from 7 different cancer-causing HPV types, from 3 HPV types with weak cancer association, and from one benign HPV type that possesses an ancestral PBM. We demonstrate a striking increase in the number of potential PDZ targets bound by each E6 PBM as cancer-causing potential increases, and show that the HPV-16 and HPV-18 PBMs have the most flexibility in their PDZ target selection. Furthermore, the specific interaction with hScrib correlates directly with increased oncogenic potential. In contrast, hDlg is bound equally well by all the HPV E6 PBMs analysed, indicating that this is an evolutionarily conserved interaction, and was most likely one of the original E6 PBM target proteins that was important for the occupation of a potential new niche. Finally, we present evidence that the cell junction components ZO-2 and β-2 syntrophin are novel PDZ domain–containing targets of a subset of high-risk HPV types.
A Delaunay Refinement Algorithm for Quality 2-Dimensional Mesh Generation

We present a simple new algorithm for triangulating polygons and planar straightline graphs, It provides "shape" and "size" guarantees: ? All triangles have a bounded aspect ratio. The number of triangles is within a constant factor of optimal. Such "quality" triangulations are desirable as meshes for the finite element method, in which the running time generally increases with the number of triangles, and where the convergence and stability may be hurt by very skinny triangles. The technique we use-successive refinement of a Delaunay triangulation-extends a mesh generation technique of Chew by allowing triangles of varying sizes. Compared with previous quadtree-based algorithms for quality mesh generation, the Delaunay refinement approach is much simpler and generally produces meshes with fewer triangles. We also discuss an implementation of the algorithm and evaluate its performance on a variety of inputs.
Methods and tools for corporate knowledge management

This article? This article is an extension of a paper presented at the specialized workshop KAW? 98.is a survey of some methods, techniques and tools aimed at managing corporate knowledge from a corporate memory designer's perspective. In particular, it analyses problems and solutions related to the following steps: detection of needs of corporate memory, construction of the corporate memory, its diffusion (specially using the Internet technologies), use, evaluation and evolution
The Study and its Implementation of Resolving Data Synchronization Conflicts Based on Confidence Value

Data conflicts caused by inconsistency usually occur among multiple autonomous systems. This paper introduces the attributes-oriented approach for data synchronization, which resolves the data conflicts by setting and comparing the predefined confidence values for different data sources of both the Master Data and the Business Data. With the given case successfully implemented in the field of labor and social security administration, this approach is proved to be applicable with less amount of swapping data and no manual intervention.
The Role of Alzheimer's and Cerebrovascular Pathology in Mediating the Effects of Age, Race, and Apolipoprotein E Genotype on Dementia Severity in Pathologically-Confirmed Alzheimer's Disease.

BACKGROUND Dementia severity can be modeled as the construct δ, representing the "cognitive correlates of functional status. " OBJECTIVE We recently validated a model for estimating δ in the National Alzheimer's Coordinating Center's Uniform Data Set; however, the association of δ with neuropathology remains untested. METHODS We used data from 727 decedents evaluated at Alzheimer's Disease (AD) Centers nationwide. Participants spoke English, had no genetic abnormalities, and were pathologically diagnosed with AD as a primary or contributing etiology. Clinical data from participants' last visit prior to death were used to estimate dementia severity (δ). RESULTS A structural equation model using age, education, race, and apolipoprotein E (APOE) genotype (number of ɛ2 and ɛ4 alleles) as predictors and latent AD pathology and cerebrovascular disease (CVD) pathology as mediators fit the data well (RMSEA = 0.031; CFI = 0.957). AD pathology mediated the effects of age and APOE genotype on dementia severity. An older age at death and more ɛ2 alleles were associated with less AD pathology and, in turn, with less severe dementia. In contrast, more ɛ4 alleles were associated with more pathology and more severe dementia. Although age and race contributed to differences in CVD pathology, CVD pathology was not related to dementia severity in this sample of decedents with pathologically-confirmed AD. CONCLUSIONS Using δ as an estimate of dementia severity fits well within a structural model in which AD pathology directly affects dementia severity and mediates the relationship between age and APOE genotype on dementia severity.
HMDB: a knowledgebase for the human metabolome

The Human Metabolome Database (HMDB, http://www.hmdb.ca) is a richly annotated resource that is designed to address the broad needs of biochemists, clinical chemists, physicians, medical geneticists, nutritionists and members of the metabolomics community. Since its first release in 2007, the HMDB has been used to facilitate the research for nearly 100 published studies in metabolomics, clinical biochemistry and systems biology. The most recent release of HMDB (version 2.0) has been significantly expanded and enhanced over the previous release (version 1.0). In particular, the number of fully annotated metabolite entries has grown from 2180 to more than 6800 (a 300% increase), while the number of metabolites with biofluid or tissue concentration data has grown by a factor of five (from 883 to 4413). Similarly, the number of purified compounds with reference to NMR, LC-MS and GC-MS spectra has more than doubled (from 380 to more than 790 compounds). In addition to this significant expansion in database size, many new database searching tools and new data content has been added or enhanced. These include better algorithms for spectral searching and matching, more powerful chemical substructure searches, faster text searching software, as well as dedicated pathway searching tools and customized, clickable metabolic maps. Changes to the user-interface have also been implemented to accommodate future expansion and to make database navigation much easier. These improvements should make the HMDB much more useful to a much wider community of users.