Miracle-dz/UniFAR-FTUs huggingface dataset:
Do no t r ed ist rib ute Improving 3 D Printability of Slender Meshes

Computational fabrication is a rapidly emerging technology which has inspired significant research in geometric modeling over the past few years. While it is now possible to print more and more complex objects with high precision using 3D meshes, the fundamental problem of printing very slender regions or joints remains an open problem. Such regions are susceptible to rupture during the printing process or handling. We propose a simple approach to alleviate the problem without any application-specific priors. We first perform adaptive voxelization of the 3D mesh in order to detect problematic regions. We then reinforce these regions by adding voxels, using morphological operators inspired by image processing. This increases the volume of such regions without affecting the rest of the mesh. Finally, we convert the voxelized model back to the continuous mesh which exhibits far better structural integrity than the original mesh, without sacrificing aesthetic fidelity.
Detection of Denial-of-QoS Attacks Based On χ Statistic And EWMA Control Charts

In this paper, we describe a method of detecting denial of Quality of Service attacks on DiffServ networks. Our approach focusses on real time and quick detection, scalability to large networks, and a negligible false alarm generation rate. Sensors sample QoS parameters like bit rate, packet dropping rate, and jitter of specific Virtual Leased Line (VLL) flows at predefined strategic points in their paths. We detect anomalies in sampled network flow statistics using the EWMA Control Chart test for the highly stationary measures and for the rest adapt SRI’s χ statistic based NIDES approach. Our implementation shows that the method has a 100% detection rate for attacks above its threshold level those attacks that produce statistically significant QoS degradation. The detection time is low and less than about 15 minutes. The maximum inherent false alarm generation rate for both the tests and any of the monitored measures combined is of the order of 1 false alarm in 1000 valid status alerts of either normal or under attack. We believe that given the results of the tests on our implementation of the attacks and the detection system, the method is a strong candidate for QoS intrusion detection for a low-cost commercial deployment. ∗Vinay A. Mahadik is pursuing Master of Science in Computer Networking at the NC State University, Raleigh. Email : vamahadi@unity.ncsu. edu †Xiaoyong Wu is with the Advanced Networking Research Group, MCNC, Research Triangle Park. Email : xwu@anr.mcnc. org ‡Douglas S. Reeves is with the Department of Computer Science, NC State University, Raleigh. Email : reeves@unity.ncsu. edu
Send Orders of Reprints at Reprints@benthamscience.org Diagnosis of Infectious or Inflammatory Psychosyndromes

Before an outline of the process of diagnosis and differential diagnosis in infectious and/or inflammatory psy-chosyndromes is given, a more general overview onto the approach to organic psychosyndromes seems useful, because in both entities similar principles of causality conclusion are applied. Correlation does not demonstrate causality. Therefore the principles and consensus recommendations, and limitations of causal inference to categorize psychosyndromes as being 'organic', is to be discussed in detail. 1. CATEGORIES OF ORGANIC PSYCHOSYN-DROMES The chapter F0 of ICD-10 involves all organic psycho-syndromes with the exception of alcohol-and substance-related organic disorders. This catalogue outlines various types of dementias and deliria and many other types of or-syndrome is not described, but a post-encephalitic syndrome. Few criteria to diagnose an organic psycho-syndrome are formulated including mainly two points: 1. the demonstration of a cerebral disease, or trauma, or dysfunction, or 2. the prevalence of a systemic disease affecting the body known to possibly associate with one of the organic psychosyndromes, plus a relevant time-relationship (weeks or few months) in between this organic factor and onset of psychosyndrome. Further supporting criteria might be improvement or dissolving of psychosyndromes with improvement of the assumed underlying organic cause, and/or a lack of another causality. Clear operational criteria for causal inference are apparently not available. So in reality the diagnosis of an organic psy-chosyndrome is basically left to the individual arbitrary opinion of the diagnosing clinician. Such is surely well working in acute and subacute organic diseases with a rather clear beginning and/or clear dissolving of symptoms. However, in slow onset insults to the brain any causality conclusion remains extremely difficult. In some chronic psychosyndromes the improvement after therapeutic intervention might mark the point for causality inference, as we recently demonstrated in cases with arachnoid cysts associated with organic psy-chosyndromes in the form of minor personality disorder, which were reversible after neurosurgery [1]. A similar description of organic psychosyndromes like the ICD-10 is found in DSM-VI, a major difference however is, that the term 'organic' is eliminated. The term 'delirium' is much more broadly understood and a major criterion to assume a causal relationship between a 'medical disease factor' and the various psychosyndromes, is the presence of a relevant or seemingly relevant time relationship between both. Relatively well defined criteria are available for the diagnosis of delirium in both systems, i.e. DSM-IV 293.0, ICD-10 F05. However, both international classification systems lack clear operational criteria for most …
The Loss of unitarity in the vicinity of a time machine

We construct the propagator of a non-relativistic non-interacting particle in a flat spacetime in which two regions have been identified. This corresponds to the simplest "time machine". We show that while completeness is lost in the vicinity of the time machine it holds before the time machine appears and it is recovered afterwards. Unitarity, however, is not satisfied anywhere. We discuss the implications of these results and their relationship to the loss of unitarity in black hole evaporation.
Structures of Reverse Transcriptase Pre- and Post-Excision Complexes Shed New Light on HIV-1 AZT Resistance

HIV-1 resistance to 3′-azido-2′,3′-deoxythymidine (AZT, zidovudine) results from mutations in reverse transcriptase that increase the ability of the enzyme to excise AZT-monophosphate after it has been incorporated. Crystal structures of complexes of wild type and mutant reverse transcriptase with double-stranded DNA with or without the excision product, AZT adenosine dinucleoside tetraphosphate (AZTppppA), have recently been reported [1]. The excision-enhancing mutations dramatically change the way the enzyme interacts with the excision product.
Knowledge of Hepatitis B Virus Infection, Immunization with Hepatitis B Vaccine, Risk Perception, and Challenges to Control Hepatitis among Hospital Workers in a Nigerian Tertiary Hospital

Background. Studies had reported high rate of hepatitis B infection among hospital workers with low participation in vaccination programmes, especially those whose work exposes them to the risk of HBV infection. The study assessed knowledge of hepatitis B virus infection, risk perception, vaccination history, and challenges to control hepatitis among health workers. Methods. A descriptive cross-sectional study. Consenting health care workers completed a self-administered questionnaire that assessed respondents' general knowledge of HBV, vaccination history and HBsAg status, risk perception, and challenges to control hepatitis. Data was analysed using descriptive and inferential statistics. Results. Three hundred and eighty-two health care workers participated in the study. There were 182 males and 200 females. The respondents comprised 94 (25%) medical doctors, 168 (44%) nurses, 68 (18%) medical laboratory technologists, and 52 (14%) pharmacists. Over 33% had poor knowledge with 35% not immunized against HBV. Predictors of good knowledge include age less than 35 years, male sex, being a medical doctor, previous HBsAg test, and complete HBV immunisation. Identified challenges to control hepatitis include lack of hospital policy (91.6%), poor orientation of newly employed health workers (75.9%), and low risk perception (74.6%). Conclusion. Hospital policy issues and low risk perception of HBV transmission have grave implications for the control of HBV infection.
Multimodal Sensing and Intelligent Fusion for Remote Dementia Care and Support

A comprehensive multi-sensor monitoring and feedback system is presented, designed to support independent living for elderly people with dementia or other conditions and provide decision support for their formal and informal caregivers. This solution goes significantly beyond existing monitoring and assisted living approaches, which operate with a simple set of sensors and measurements, as it integrates a very heterogeneous set of sensing modalities and technologies, including video, audio analysis, in addition to physiological, environmental and other measurements. Semantic web technologies are used in for the intelligent integration and feedback of the sensor analysis results, also in line with user requirements, dictated by clinicians. This results in relevant feedback and decision support, which is communicated to the end users via appropriately designed user interfaces. A variety of clinical scenarios and environments are supported, from short-duration testing in hospital environments to long-term daily life monitoring and support at home, for independent living.
Association between familial atrial fibrillation and risk of new-onset atrial fibrillation.

CONTEXT Although the heritability of atrial fibrillation (AF) is established, the contribution of familial AF to predicting new-onset AF remains unknown. OBJECTIVE To determine whether familial occurrence of AF is associated with new-onset AF beyond established risk factors. DESIGN, SETTING, AND PARTICIPANTS The Framingham Heart Study, a prospective community-based cohort study started in 1948. Original and Offspring Cohort participants were aged at least 30 years, were free of AF at the baseline examination, and had at least 1 parent or sibling enrolled in the study. The 4421 participants in this analysis (mean age, 54 [SD, 13] years; 54% women) were followed up through December 31, 2007. MAIN OUTCOME MEASURES Incremental predictive value of incorporating different features of familial AF (any familial AF, premature familial AF [onset ≤65 years old], number of affected relatives, and youngest age of onset in a relative) into a risk model for new-onset AF. RESULTS Across 11,971 examinations during the period 1968-2007, 440 participants developed AF. Familial AF occurred among 1185 participants (26.8%) and premature familial AF occurred among 351 participants (7.9%). Atrial fibrillation occurred more frequently among participants with familial AF than without familial AF (unadjusted absolute event rates of 5.8% and 3.1%, respectively). The association was not attenuated by adjustment for AF risk factors (multivariable-adjusted hazard ratio, 1.40; 95% confidence interval [CI], 1.13-1.74) or reported AF-related genetic variants. Among the different features of familial AF examined, premature familial AF was associated with improved discrimination beyond traditional risk factors to the greatest extent (traditional risk factors, C statistic, 0.842 [95% CI, 0.826-0.858]; premature familial AF, C statistic, 0.846 [95% CI, 0.831-0.862]; P = .004). Modest changes in integrated discrimination improvement were observed with premature familial AF (2.1%). Net reclassification improvement (assessed using 8-year risk thresholds of <5%, 5%-10%, and >10%) did not change significantly with premature familial AF (index statistic, 0.011; 95% CI, -0.021 to 0.042; P = .51), although categoryless net reclassification was improved (index statistic, 0.127; 95% CI, 0.064-0.189; P = .009). CONCLUSIONS In this cohort, familial AF was associated with an increased risk of AF that was not attenuated by adjustment for AF risk factors including genetic variants. Assessment of premature familial AF was associated with a very slight increase in predictive accuracy compared with traditional risk factors.
Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data

In gene selection for cancer classification using microarray data, we define an eigenvalue-ratio statistic to measure a gene's contribution to the joint discriminability when this gene is included into a set of genes. Based on this eigenvalue-ratio statistic, we define a novel hypothesis testing for gene statistical redundancy and propose two gene selection methods. Simulation studies illustrate the agreement between statistical redundancy testing and gene selection methods. Real data examples show the proposed gene selection methods can select a compact gene subset which can not only be used to build high quality cancer classifiers but also show biological relevance.
Tensor Field Visualization with PDE ’ s and Application to DT-MRI Fiber Visualization

We propose a PDE-based method to create textured representations of dense tensor-valued fields, for visualization purposes. Within the framework of anisotropic diffusion PDE’s, we focus on the general trace-based expressions (that we previously investigated in [39]) that are particularly well adapted to control the local smoothing performed by the regularization processes. Using this formalism, we propose then a new PDE which uses the spectral informations of a tensor field T : Ω → Pn to a create texture view of T, starting from an image of pure noise. We show moreover how our method can be practically applied, using a precise numerical scheme based on local filtering considerations. The equation is then considered to deal specifically with DT-MRI datasets (Diffusion Tensor-MRI), offering an alternative solution to parametric methods for the visualization of fibers bundles in the biological tissues. Application results are finally proposed with the visualization of fibers within the white matter of the brain.
Efficient Transfer of Human Motion Data over a Wireless Delay Tolerant Network

In this paper we describe the recent development of a wireless sensor network to monitor human motion and stream relevant events over the network. The events are locally generated based on accelerometer, magnetometer and gyroscope data, taken by a sensor node, which is worn by a person. A reduced radio transmission range enables implicit coarse- grain localization. To minimize the number of radio messages, the events indicate changes in the person's motion state. This paper describes a case study, where walking steps are detected using realtime wavelet analysis of accelerometer data, which can be used for finer grain localization purposes. To enable the reliable transfer of every event with a minimal radio packet overhead, a delay tolerant network using an implicit acknowledge protocol has been implemented and tested.
What do others feel? Cognitive empathy deficits explain the association between callous-unemotional traits and conduct problems among preschool children

Abstract Callous-unemotional traits (CU) are a risk factor for antisocial behavior, although it is unclear whether deficits in affective or cognitive empathy explain this association. Using a multi-informant approach involving data collection from parents and teachers (N = 167, M age = 4.7 years), the current study aimed to test whether cognitive or affective empathy deficits account for the association between CU traits and antisocial behavior among preschool children. Results revealed that cognitive, but not affective, empathy was associated with both CU and conduct problems, and also mediated the relationship between CU traits and conduct problems. These findings were not replicated for overt and relational aggressive behavior. Our findings suggest that cognitive empathy deficits may be more important than affective empathy in explaining antisocial behavior in preschool children. As a result, interventions aiming to reduce conduct problems early in development may need to target difficulties in understanding what others are thinking or feeling.
Identification of a Novel Series of Potent TrkA Receptor Tyrosine Kinase Inhibitors

A novel series of N-(3-(6-substituted-aminopyridin-3-yloxy)phenyl)-2-oxo-3-phenylimidazolidine-1-carboxamides targeting TrkA receptor tyrosine kinase was identified. SAR study of the series allowed us to design and synthesize compounds possessing inhibitory activity of TrkA kinase enzyme in the low nanomolar range with low residual activity against c-Met and with no significant activity against VEGFR2.
A experiência turística nas redes sociais: Motivações, implicações e impactes da geração de conteúdos

O presente estudo pretende identificar e caraterizar padroes de comportamento dos turistas nas social media durante e apos as suas viagens, averiguando o que leva os turistas a gerar conteudos nas social media. Para tal, procedeu-se a contextualizacao teorica acompanhada por um levantamento de dados primarios obtidos atraves de um inquerito aplicado aos turistas portugueses que viajaram em 2014 e/ou 2015, e analisados utilizando estatistica descritiva e tabulacao cruzada. Os resultados apontam para o facto de as plataformas de social media mais utilizadas serem as redes sociais, que as principais motivacoes para a autoexpressao nas social media derivam da qualidade da propria experiencia, enquanto nos websites de reviews, as avaliacoes sao feitas independentemente da qualidade da experiencia em causa.
Toward highly reliable network traffic traces

Passive traffic collection is a good methodology to draw complete picture about network behavior. The collected traffic traces contain huge information for fully understanding the network characteristics, user behavior and network traffic engineering. These crucial activities should be supported with high fidelity traffic traces. This paper proposes a new approach for producing reliable traffic traces by monitoring the network interface as a first contact point in the traffic collection process, and provides a meta-data (meta-trace) report that is used to judge the reliability of the collected traffic trace in a post-processing phase. The proposed approach relies on monitoring the appropriated statistical indicators by directly consulting the Ethernet network interface card hardware. The conducted experiments prove the superiority of the proposed approach in producing error free, reliable and high fidelity traffic traces using commodity hardware and software under a limited budget.
Unnesting Scalar SQL Queries in the Presence of Disjunction

Optimizing nested queries is an intricate problem. It becomes even harder if in a nested query the linking predicate or the correlation predicate occurs disjunctively. We present the first unnesting strategy that can effectively deal with such queries. The starting point of our approach is to translate SQL into the relational algebra extended by bypass operators. Then we present for the first time unnesting equivalences which are valid for algebraic expressions containing bypass operators. Applying these to the translated queries results in our effective unnesting strategy for nested SQL queries with disjunction. With an extensive experimental study (including three commercial DBMSs), we demonstrate the possible performance gains of our approach.
ULTRA-BROADBAND PHASE-MATCHING ULTRASHORT-LASER-PULSE MEASUREMENT TECHNIQUES

Dedicated to my wife, Seonghee Jeong, and my parents iv ACKNOWLEDGEMENTS I wish to thank all people who helped me in many different ways during my graduate school years. First of all, I would like to especially thank Rick Trebino not only for sharing his knowledge and experience since the beginning, but also for his constantly encouraging and motivating me, which could make this thesis possible. In addition, I and Zyiang but I want to especially thank Pablo for discussing many problems and helping me with pleasure. And I would like to especially thank Qiang and Selcuk for helping me in many ways during my first and second years in this group. Finally, I wish to thank to my family: my father Eunsoo, my mother Soonduck Kim, my sisters Haegyung, Gyunghee, and my brother Chunjoo and especially thank my wife Seonghee Jeong and my son Seungmin.
HIV-Testing Behavior and Associated Factors Among MSM in Chongqing, China

AbstractThe high and climbing human immunodeficiency virus (HIV) rates among Chinese men who have sex with men (MSM) bring huge pressure and challenge to acquired immune deficiency syndrome response work in China. This study examined HIV-testing behavior and describes the characteristics of recently tested MSM in Chongqing to address targeting HIV prevention interventions.Two consecutive cross-sectional surveys were conducted among Chongqing MSM using respondent-driven sampling in 2009 and 2010. Information was collected regarding details on demographic characteristics, sexual practices with male and female partners, and HIV-testing experiences. Univariate and multivariate logistic regression analyses were performed to identify factors independently associated with recent HIV testing.The final sample size included in our analyses was 992. The overall HIV prevalence was 13.4%, and HIV prevalence increased significantly from 11.6% in 2009 to 15.4% in 2010 (P = 0.08). The overall rate of HIV testing in the past 12 months was 44.6%, and the self-reported rates decreased significantly from 47.8% in 2009 to 41.1% in 2010 (P = 0.03). Factors independently associated with recent HIV testing included living in Chongqing >1 year (adjusted odds ratio [AOR] 1.8, 95% confidence interval [CI] 1.1–2.9), the age of most recent male partner ⩽25 (AOR 1.5, 95% CI 1.1–2.1), not having unprotected insertive anal sex with most recent male partner in the past 6 months (AOR 1.5, 95% CI 1.1–2.0), disclosing HIV status to most recent male partner (AOR 2.8, 95% CI 2.0–3.8), and holding lower level of HIV-related stigma (AOR 1.1 per scale point, 95% CI 1.0–1.1). The extremely high HIV prevalence and low annual testing level put MSM at high risk of HIV infection and transmission, and it is a priority to promote regular HIV testing among this group in order to control the spread of HIV in Chongqing, China.
Reasoning About Persistence: A Theory of Actions

Winslett proposed a method for reasoning about action called the possible models approach (PMA). The PMA successfully removed the major difficulty manifested by Ginsberg and Smith's possible worlds approach (PWA). In this paper, we show that Winslett's PMA fails to solve the frame and ramification problems for some actions, as does the PWA. From this observation, we classify actions as definite and indefinite, and find that, in general, the PMA is not appropriate for both definite and indefinite actions. We propose a new approach to formalize actions based on persistence. We compare our approach with the PMA in detail, and show that our new formalization can avoid the problems in the PMA and PWA in most cases, and give more intuitive results for reasoning about action, regardless of whether the action is definite or indefinite.
Sensor control for multi-target tracking using Cauchy-Schwarz divergence

In this paper, we propose a method for optimal stochastic sensor control, where the goal is to minimise the estimation error in multi-object tracking scenarios. Our approach is based on an information theoretic divergence measure between labelled random finite set densities. The multi-target posteriors are generalised labelled multi-Bernoulli (GLMB) densities, which do not permit closed form solutions for traditional information divergence measures such as Kullback-Leibler or Rényi. However, we demonstrate that the Cauchy-Schwarz divergence admits a closed form solution for GLMB densities, thus it can be used as a tractable objective function for multi-target sensor control. This is demonstrated with an application to sensor trajectory optimisation for bearings-only multi-target tracking.