Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease

A major goal in personalized medicine is the ability to provide individualized predictions about the future trajectory of a disease. Moreover, for many complex chronic diseases, patients simultaneously have additional comorbid conditions. Accurate determination of the risk of developing serious complications associated with a disease or its comorbidities may be more clinically useful than prediction of future disease trajectory in such cases. We propose a novel probabilistic generative model that can provide individualized predictions of future disease progression while jointly modeling the pattern of related recurrent adverse events. We fit our model using a scalable variational inference algorithm and apply our method to a large dataset of longitudinal electronic patient health records. Our model gives superior performance in terms of both prediction of future disease trajectories and of future serious events when compared to non-joint models. Our predictions are currently being utilized by our local accountable care organization during chart reviews of high risk patients.
Information Technology Support for Clinical Genetic Testing within an Academic Medical Center

Academic medical centers require many interconnected systems to fully support genetic testing processes. We provide an overview of the end-to-end support that has been established surrounding a genetic testing laboratory within our environment, including both laboratory and clinician facing infrastructure. We explain key functions that we have found useful in the supporting systems. We also consider ways that this infrastructure could be enhanced to enable deeper assessment of genetic test results in both the laboratory and clinic.
Modeling the acquisition of anterior lingual sibilant fricatives in English : Integrating behavioral data with computational learning models 1 : 45-2 : 15

Adam Albright (MIT) Well-formedness across the word: Modeling markedness interactions 9:30-10 Vsevolod Kapatsinski (U. Oregon) Humans and models learning palatalization patterns in miniature artificial languages: In support of particular salience of typical product characteristics 10-10:30 Jeff Heinz (U. Delaware) Learning gradient long-distance phonotactics by estimating strictly piecewise distributions 1:30-2 Emily Cliff and Robert Kirchner (U. Alberta) Getting type frequency effects in an exemplar model 2-2:30 Andrew Wedel (U. Arizona) Functional load and feedback stabilization of phonemic category distinctions 2:30-3 Fred Mailhot (Carleton) Modelling the acquisition of vowel harmony with a lazy learner 3:00-4:30 Poster session I (light refreshments) 1. Hagen Peukert (U. Kassel) Phonemic distribution of sounds as a basis for word boundary detection in 6-to 8-months-olds 2. Rebecca Morley (OSU) From Sound Change to Grammar Change: words, lexicons, and learners 3. Philip Dilts & Anne-Michelle Tessier (U. Alberta) A computational implementation of Error-Selective Learning 4. Ashley Farris-Trimble (U. Iowa) Modeling the acquisition of cumulative faithfulness effects 5. Keith S Apfelbaum and Bob McMurray (U. Iowa) When discrimination is not enough: An associative model of the development of phonological cue weighting. A Darwinian account of underrepresentation of doubly marked forms *abstracts are listed in the program in alphabetical order by presenter 1:45-2:15 Paul Boersma & Katerina Chladkova (U. Amsterdam) Phonetic perception-production asymmetries reflect phonological feature structure 2:15-2:45 Michael Becker (Harvard) Target selection in error selective learning A single-stage computational model of phoneme category acquisition: Results from Inuktitut 2. Jeffrey Heinz, Cesar Koirala (U. Delaware) Feature-based Generalization 3. Rebecca Colavin, R. Levy, Sharon Rose (UCSD) Modeling OCP-Place with the Maximum Entropy Phonotactic Learner 4. Kristine Yu (UCLA) Linear separability and feature selection in the acquisition of tones 5. Jan-Willem van Leussen (U. Amsterdam) The emergence of natural vowel patterns in a phonetic/phonological acquisition model 6. An exemplar based speech production model 9. John Alderete, Paul Tupper (SFU) and Stefan Frisch (U. S. Fla.) Phonotactic learning without a priori constraints: A connectionist analysis of Arabic cooccurrence restrictions *abstracts are listed in the program in alphabetical order by presenter A Lexicon-Free Approach to the Induction of OCP-Place OCP-Place (McCarthy, 1988) has the gradient effect that labial-labial pairs across a vowel are underrepresented in the lexicons of many languages (Arabic: Frisch, Pierrehumbert, & Broe, 2004; Dutch: Kager & Shatzman, 2007). Previous proposals for the learning of constraints such as OCP-Place assume that phonotactic constraints are the result of abstractions over statistical patterns in the …
Cold Plasma Diagnostics in the Jovian System : Brief Scientific Case and Instrumentation Overview

The Jovian magnetosphere equatorial region is filled with cold dense plasma that in a broad sense co-rotate with its magnetic field. The volcanic moon Io, which expels sodium, sulphur and oxygen containing species, dominates as a source for this cold plasma. The three icy Galilean moons (Callisto, Ganymede, and Europa) also contribute with water group and oxygen ions. All the Galilean moons have thin atmospheres with residence times of a few days at most. Their ionized ionospheric components interact dynamically with the co-rotating magnetosphere of Jupiter and for example triggers energy transfer processes that give rise to auroral signatures at Jupiter. On these moons the surface interactions with the space environment determine their atmospheric and ionospheric properties. The range of processes associated with the Jovian magnetospheric interaction with the Galilean moons, where the cold dense plasma expelled from these moons play a key role, are not well understood. Conversely, the volatile material expelled from their interiors is important for our understanding of the Jovian magnetosphere dynamics and energy transfer. A Langmuir probe investigation, giving in-situ plasma density, temperatures, UV intensity and plasma speed with high time resolution, would be a most valuable component for future payloads to the Jupiter system. Recent developments in low-mass instrumentation facilitate Langmuir probe in situ measurements on such missions.
Specific binding to a novel and essential Golgi membrane protein (Yip1p) functionally links the transport GTPases Ypt1p and Ypt31p

The regulation of vesicular transport in eukaryotic cells involves Ras‐like GTPases of the Ypt/Rab family. Studies in yeast and mammalian cells indicate that individual family members act in vesicle docking/fusion to specific target membranes. Using the two‐hybrid system, we have now identified a 248 amino acid, integral membrane protein, termed Yip1, that specifically binds to the transport GTPases Ypt1p and Ypt31p. Evidence for physical interaction of these GTPases with Yip1p was also demonstrated by affinity chromatography and/or co‐immunoprecipitation. Like the two GTPases, Yip1p is essential for yeast cell viability and, according to subcellular fractionation and indirect immunofluorescence, is located to Golgi membranes at steady state. Mutant cells depleted of Yip1p and conditionally lethal yip1 mutants at the non‐permissive temperature massively accumulate endoplasmic reticulum membranes and display aberrations in protein secretion and glycosylation of secreted invertase. The results suggests for a role for Yip1p in recruiting the two GTPases to Golgi target membranes in preparation for fusion.
Computer aided orthodontics treatment by virtual segmentation and adjustment

A computer aided orthodontic treatment system-an interactive system for three-dimensional (3D) orthodontic treatment is developed. It consists of three main components as follows: the first part is 3D laser scanner developed independently, which digitizes plaster dental model into STL format; the second one is the interactive virtual segmentation software based on curvature estimation and vector optimization, which separates individual teeth from the STL model; and the third part is translation and rotation software with the function of rearranging the segmented teeth to align with standard arch curves. The results show that the 3D aided orthodontic treatment system can be considered as a guideline of treatment preview for the patients. It is also a training tool for orthodontists, residents and students to enhance the experience through simulation before taking actual orthodontic planning.
Authenticity, experience, and loyalty in the festival context: Evidence from the San Fermin festival, Spain

This study empirically investigates the relationships among authenticity, experience – measured by emotions (i.e. pleasure and arousal) along with satisfaction, and loyalty in the festival context. Structural equation modelling is employed to examine a sample of 211 visitors attending the San Fermin festival in Spain. Results show that authenticity positively affects experience, while on the other hand, only arousal has positive effects on satisfaction and festival loyalty. Satisfaction is positively associated with festival loyalty.
Structural Correlates of Taste and Smell Loss in Encephalitis Disseminata

Background Olfactory dysfunction in MS patients is reported in the literature. MRI of the olfactory bulb (OB) is discussed as a promising new testing method for measuring olfactory function (OF). Aim of this study was to explore reasons for and optimize the detection of olfactory dysfunction in MS patients with MRI. Materials and Methods OB and olfactory brain volume was assessed within 34 MS patients by manual segmentation. Olfactory function was tested using the Threshold-Discrimination-Identification-Test (TDI), gustatory function was tested using Taste Strips (TST). Results 41% of the MS patients displayed olfactory dysfunction (8% of the control group), 16% displayed gustatory dysfunction (5% of the control group). There was a correlation between the OB volume and the number and volume of MS lesions in the olfactory brain. Olfactory brain volume correlated with the volume of lesions in the olfactory brain and the EDSS score. The TST score correlated with the number and volume of lesions in the olfactory brain. Conclusion The correlation between a higher number and volume of MS lesions with a decreased OB and olfactory brain volume could help to explain olfactory dysfunction.
Working Paper No . 438 How do individual UK consumer prices behave ?

This paper examines the behaviour of individual consumer prices in the United Kingdom, and uncovers a number of stylised facts about pricing behaviour. First, on average 19% of prices change each month, although this falls to 15% if sales are excluded. Second, the probability of price changes is not constant over time. Third, goods prices change more frequently than services prices. Fourth, the distribution of price changes is wide, although a significant number of changes are relatively small and close to zero. Fifth, prices that change more frequently tend to do so by less. We find that conventional pricing theories struggle to match these results, particularly the marked heterogeneity, which argues against the use of ‘representative agent’ models.
Thermal transport across carbon nanotube-graphene covalent and van der Waals junctions

Carbon nanotubes and graphene are promising materials for thermal management applications due to their high thermal conductivities. However, their thermal properties are anisotropic, and the radial or cross-plane direction thermal conductivity is low. A 3D Carbon nanotube (CNT)-graphene structure has previously been proposed to address this limitation, and direct molecular dynamics simulations have been used to predict the associated thermal conductivity. In this work, by recognizing that thermal resistance primarily comes from CNT-graphene junctions, a simple network model of thermal transport in pillared graphene structure is developed. Using non-equilibrium molecular dynamics, the resistance across an individual CNT-graphene junction with sp2 covalent bonds is found to be around 6×10−11 m2K/W, which is significantly lower than typical values reported for planar interfaces between dissimilar materials. In contrast, the resistance across a van der Waals junction is about 4×10−8 m2K/W. Interestingly, when.
The Quality of Appearance

With CIECAM02, a new level of accuracy was added to color appearance models capability predicting the appearance of simple color stimuli. Recently a new type of image appearance model, called iCAM, has been introduced to model the perception of complex image stimuli. This image appearance model is capable of predicting many spatial phenomena such as simultaneous contrast, crispening, and spreading. The models image appearance framework can be extended to predict image differences and image quality, through the addition of spatial filtering. The application of iCAM as an image difference metric, as well as an image quality metric is discussed. This paper also addresses the application of linear filters in a variety of color spaces and their impact on image quality prediction.
Overview of the Chinese Word Sense Induction Task at CLP2010

In this paper, we describe the Chinese word sense induction task at CLP2010. Seventeen teams participated in this task and nineteen system results were submitted. All participant systems are evaluated on a dataset containing 100 target words and 5000 instances using the standard cluster evaluation. We will describe the participating systems and the evaluation results, and then find the most suitable method by comparing the different Chinese word sense induction systems.
A Community-Based Event Delivery Protocol in Publish/Subscribe Systems for Delay Tolerant Sensor Networks

The basic operation of a Delay Tolerant Sensor Network (DTSN) is to finish pervasive data gathering in networks with intermittent connectivity, while the publish/subscribe (Pub/Sub for short) paradigm is used to deliver events from a source to interested clients in an asynchronous way. Recently, extension of Pub/Sub systems in DTSNs has become a promising research topic. However, due to the unique frequent partitioning characteristic of DTSNs, extension of a Pub/Sub system in a DTSN is a considerably difficult and challenging problem, and there are no good solutions to this problem in published works. To ad apt Pub/Sub systems to DTSNs, we propose CED, a community-based event delivery protocol. In our design, event delivery is based on several unchanged communities, which are formed by sensor nodes in the network according to their connectivity. CED consists of two components: event delivery and queue management. In event delivery, events in a community are delivered to mobile subscribers once a subscriber comes into the community, for improving the data delivery ratio. The queue management employs both the event successful delivery time and the event survival time to decide whether an event should be delivered or dropped for minimizing the transmission overhead. The effectiveness of CED is demonstrated through comprehensive simulation studies.
Predictors of Colorectal Cancer Survival in Golestan, Iran: A Population-based Study

OBJECTIVES We aimed to investigate factors associated with colorectal cancer survival in Golestan, Iran. METHODS We used a population based cancer registry to recruit study subjects. All patients registered since 2004 were contacted and data were collected using structured questionnaires and trained interviewers. All the existing evidences to determine the stage of the cancer were also collected. The time from first diagnosis to death was compared in patients according to their stage of cancer using the Kaplan-Meir method. A Cox proportional hazard model was built to examine their survival experience by taking into account other covariates. RESULTS Out of a total of 345 subjects, 227 were traced. Median age of the subjects was 54 and more than 42% were under 50 years old. We found 132 deaths among these patients, 5 of which were non-colorectal related deaths. The median survival time for the entire cohort was 3.56 years. A borderline significant difference in survival experience was detected for ethnicity (log rank test, p=0.053). Using Cox proportional hazard modeling, only cancer stage remained significantly associated with time of death in the final model. CONCLUSIONS Colorectal cancer occurs at a younger age among people living in Golestan province. A very young age at presentation and what appears to be a high proportion of patients presenting with late stage in this area suggest this population might benefit substantially from early diagnoses by introducing age adapted screening programs.
Erwinia chrysanthemi tolC Is Involved in Resistance to Antimicrobial Plant Chemicals and Is Essential for Phytopathogenesis†

ABSTRACT TolC is the outer-membrane component of several multidrug resistance (MDR) efflux pumps and plays an important role in the survival and virulence of many gram-negative bacterial animal pathogens. We have identified and characterized the outer-membrane protein-encoding gene tolC in the bacterial plant pathogen Erwinia chrysanthemi EC16. The gene was found to encode a 51-kDa protein with 70% identity to its Escherichia coli homologue. The E. chrysanthemi gene was able to functionally complement the E. coli tolC gene with respect to its role in MDR efflux pumps. A tolC mutant of E. chrysanthemi was found to be extremely sensitive to antimicrobial agents, including several plant-derived chemicals. This mutant was unable to grow in planta and its ability to cause plant tissue maceration was severely compromised. The tolC mutant was shown to be defective in the efflux of berberine, a model antimicrobial plant chemical. These results suggest that by conferring resistance to the antimicrobial compounds produced by plants, the E. chrysanthemi tolC plays an important role in the survival and colonization of the pathogen in plant tissue.
The dark side of the German ‘welcome culture’: investigating the causes behind attacks on refugees in 2015

Abstract In 2015, Germany experienced a record high influx of refugees – and received international praise for its ‘welcome culture’. At the same time, however, attacks on refugees rose to an alarming level. This article describes the distribution of these attacks and probes their causes, using detailed socioeconomic and political data while modelling a hierarchical data structure. Controlling for further relevant factors taken from the extant literature, the analysis first tests whether the strength of extreme right political parties plays a role and, second, it models a contagion effect, taking into account spatial as well as temporal proximity. The findings suggest that the strength of right-wing parties in a district considerably boosts the probability of attacks on refugees in that area. They also corroborate the idea of behavioural contagion. The set of social-structural variables employed as controls yielded only limited explanatory power.
Next Generation Human-Robot Telematic Teams

The contribution investigates new methods and tools for design of next-generation telematic systems based on hybrid teams of cooperating robots and humans. The contribution presents selected issues of building the feature of presence in such systems, deals with human-robot integration and cooperation issues together with drawbacks and benefits of the technology in question. The presented approach is focused onto investigation of a search and rescue type of tasks and provides evaluation of results obtained in proofof-concept experiments.
Skórovací systémy u pacientů s akutním koronárním syndromem

Pacienti hospitalizovani pro akutni koronarni syndrom (AKS) představuji různorodou populaci pacientů s rozdilným rizikem casných i pozdnich komplikaci. Vcasna stratifikace pacientů s AKS je důležita ke zvoleni optimalni terapeuticke strategie. Křižikove stratifikaci pacientů se v klinicke praxi použiva řada skorovacich systemů. V nasledujicim clanku uvadime ty nejcastěji použivane u pacientů s AKS-TIMI, PURSUIT, GRACE a ZWOLLE skore.
An Exploratory Study of Interpersonal Distances and Perceived Spaciousness and Crowding in Four Shopping Malls Across Two Cultures

OZDEMIR, AYDIN. An Exploratory Study of Interpersonal Distances and Perceived Spaciousness and Crowding in Four Shopping Malls across Two Cultures. (Under the direction of Fatih Rifki, Professor of Architecture). This study is an exploratory and descriptive study of shopping malls in two cultures. The purpose of this dissertation is twofold: (1) to explore and describe the conditions of malls relevant to people’s perception of space and their interactions with others; and (2) to investigate the relationship between variables such as type of perceived enclosure, density and lighting, and perceived spaciousness and crowding, and interpersonal distance. Four shopping malls in Turkey and the United States were selected for case studies. Based on users’ subjective responses to openness and closeness, two areas inside each mall were defined where interviews and observations were conducted. During interviews, a total of 337 users were asked to rate the spaciousness and crowdedness of the open and closed mall areas. Density and lighting conditions of each area were measured. Observations were employed with time-lapse photography to measure interpersonal distances between users in the areas where interviews took place. A total of 3072 distance measurements were made in all cases. The relationships between variables were tested by Spearman’s correlation coefficients. Most of the analysis included descriptions with percentages. It was intended to develop hypotheses for the benefit of future research. The results were compared across two cultures and discussed in relation to the defined and measured conditions of mall areas. The description of the mall characteristics pointed to the both similarities and differences among layout, location, frequency and time of visit, activities, and users’ definitions of areas. Overall comparisons and descriptions provided evidence about cross-cultural differences in interpersonal distance and perception of crowding, but not in perception of spaciousness. Most of the users in all cases perceived the areas as spacious. Turkish mall users felt more crowded than American mall users, pairs in Turkish malls interacted closer than those in American malls, and male-female pairs interacted more closely than male-male and female-female pairs. AN EXPLORATORY STUDY OF INTERPERSONAL DISTANCES AND PERCEIVED SPACIOUSNESS AND CROWDING IN FOUR SHOPPING MALLS ACROSS TWO CULTURES
Implementation of massively parallel genetic algorithms on the MasPar MP-1

We describe a massively parallel implementation of genetic algorithms using a MasPar MP-1 data-parallel computer. Modification of the sequential genetic algorithm required that several important issues be addressed, in particular how to implement the selection operator with a minimum of inter-processor communication. A speed up of at least 145 times relative to a comparable sequential algorithm running on a Sun SparcStation was achieved. The performance of the MasPar is even more impressive when populations are too large to tit into the physical memory of the Spare.