Miracle-dz/UniFAR-FTUs huggingface dataset:
Secrecy From Parents and Type 1 Diabetes Management in Late Adolescence.

OBJECTIVES This study examined (a) associations of parent-adolescent relationship characteristics and adolescent problem behavior with late adolescents' secrecy from parents about type 1 diabetes management, and (b) whether secrecy was associated with diabetes and psychological outcomes independently of these factors. METHODS Adolescents (N = 247, Mage = 17.76 years) completed survey measures of diabetes-related secrecy from parents, disclosure, parental acceptance, parental knowledge, and conduct problems. Mothers and adolescents reported on adolescent adherence to diabetes regimens and adolescents reported their depressive symptoms. Glycemic control was obtained from HbA1c test kits. RESULTS Adolescent-reported disclosure to parents was uniquely negatively associated with secrecy from parents. Controlling for relationship variables, conduct problems, and sociodemographic and illness-related variables, secrecy from mothers was uniquely associated with poorer glycemic control and secrecy from both parents was associated with lower adherence. CONCLUSIONS Secrecy about type 1 diabetes management is uniquely associated with diabetes outcomes independent of other relationship characteristics and problem behaviors.
Journal of Neuroengineering and Rehabilitation Open Access Standardized Voluntary Force Measurement in a Lower Extremity Rehabilitation Robot

Background: Isometric force measurements in the lower extremity are widely used in rehabilitation of subjects with neurological movement disorders (NMD) because walking ability has been shown to be related to muscle strength. Therefore muscle strength measurements can be used to monitor and control the effects of training programs. A new method to assess isometric muscle force was implemented in the driven gait orthosis (DGO) Lokomat. To evaluate the capabilities of this new measurement method, inter-and intra-rater reliability were assessed.
Virtual ground robot for balance control

This paper proposes a Virtual Ground Robot (VGR) that can interact with a human. The proposed Virtual Ground Robot creates a virtual ground, which has three-degree-of-freedom motions in the pitch, the roll and the height directions. The VGR are driven by Series Elastics Actuator(SEA), which enable force control without force sensor. In this paper, two types of training are proposed: Active training and Passive training. In order to implement two types of training, Geometric Posture and Spatial Impedance mode are suggested using control algorithm.
Enhancing Document Clustering Using Hybrid Models for Semantic Similarity

Different document representation models have been proposed to measure semantic similarity between documents using corpus statistics. Some of these models explicitly estimate semantic similarity based on measures of correlations between terms, while others apply dimension reduction techniques to obtain latent representation of concepts. This paper proposes new hybrid models that combine explicit and latent analysis to estimate semantic similarity between documents. The proposed models have been used to enhance the performance of document clustering algorithms. Experiments on thirteen benchmark data sets show that hybrid models achieve significant improvement in clustering performance when used with clustering algorithms that are sensitive to errors in estimating document similarity.
Retired-page utilization in write-once memory — A coding perspective

In write-once memory (e.g., Flash), a cell's level can only be raised, and erasure is only in bulk. The total number of erasures (endurance) is limited, and drops sharply with technology shrinkage and with cell-capacity increase. The normalized write capacity (ratio of total amount of data that can be written to storage capacity) drops similarly. Various coding schemes enable overwrites at the expense of storage capacity. With all of them, whenever desired data cannot be written to its current page, the page is “retired” for subsequent erasure. Interestingly, however, a retired page can still be used for writing other data, and it has been proposed to try and use retired pages. Simulation results are promising. In this paper, after briefly presenting Retired Page Utilization, we cast it as a cross-page coding technique. We employ Markovian analysis to derive the expected number of random-data writes with RPU, and show how the required state space can sometimes be substantially reduced.
Entropy Based Detection And Behavioral Analysis Of Hybrid Covert Channeling Secured Communication

Covert channels is a vital setup in the analysing the strength of security in a network.Covert Channel is illegitimate channelling over the secured channel and establishes a malicious conversation.The trapdoor set in such channels proliferates making covert channel sophisticated to detect their presence in network firewall.This is due to the intricate covert scheme that enables to build robust covert channel over the network.From an attacker's perspective this will ameliorate by placing multiple such trapdoors in different protocols in the rudimentary protocol stack. This leads to a unique scenario of Hybrid Covert Channel, where different covert channel trapdoors exist at the same instance of time in same layer of protocol stack. For detection agents to detect such event is complicated due to lack of knowledge over the different covert schemes. To improve the knowledge of the detection engine to detect the hybrid covert channel scenario it is required to explore all possible clandestine mediums used in the formation of such channels. This can be explored by different schemes available and their entropy impact on hybrid covert channel. The environment can be composed of resources and subject under at-tack and subject which have initiated the attack (attacker). The paper sets itself an objective to understand the different covert schemes and the attack scenario (modelling) and possibilities of covert mediums along with metric for detection.
An ordinal approach to characterizing efficient allocations August 2001

The invisible hand theorem relates nothing about the attributes of the optimal allocation vector. In this paper, we identify a convex cone of functions such that order on vectors of exogenous heterogeneity parameters induces component-wise order on allocation vectors for firms in an efficient market. By use of functional analysis, we then replace the vectors of heterogeneities with asymmetries in function attributes such that the induced component-wise order on efficient allocations still pertains. We do so through integration over a kernel in which the requisite asymmetries are embedded. Likelihood ratio order on the measures of integration is both necessary and sufficient to ensure component-wise order on efficient factor allocations across firms. Upon specializing to supermodular functions, familiar stochastic dominance orders on normalized measures of integration provide necessary and sufficient conditions for this component-wise order on efficient allocation. The analysis engaged in throughout the paper is ordinal in the sense that all conclusions drawn are robust to monotone transformations of the arguments in production.
A confocal microscope with programmable aperture arrays by polymer–dispersed liquid crystal

A programmable array microscope (PAM) is one kind of confocal microscopes which uses the spatial light modulator (SLM) to serve both the source and detection aperture as the scanning apertures. Usually, PAM uses the digital micromirror device (DMD) or liquid crystal based optical components (like LCOS) as the spatial light modulator. The latter one has no mechanical movement part in the system, but it needs polarizers , and it will reduce the light utilization rate. We present a programmable array microscope (PAM) which uses the polymer-dispersed liquid crystal (PDLC) chip as the spatial light modulator. PDLC is a polarization-free material, so we can improve the light utilization rate twice as other liquid crystal based PAMs. Furthermore, in our system, the incident light is perpendicular to the PDLC chip unlike other systems. Therefore, our system will make the whole system more compact. Also, it can increase the dynamic range compare to other liquid crystal based PAMs.
Cascading Power Outages Propagate Locally in an Influence Graph That is Not the Actual Grid Topology

In a cascading power transmission outage, component outages propagate nonlocally; after one component outages, the next failure may be very distant, both topologically and geographically. As a result, simple models of topological contagion do not accurately represent the propagation of cascades in power systems. However, cascading power outages do follow patterns, some of which are useful in understanding and reducing blackout risk. This paper describes a method by which the data from many cascading failure simulations can be transformed into a graph-based model of influences that provides actionable information about the many ways that cascades propagate in a particular system. The resulting “influence graph” model is Markovian, in that component outage probabilities depend only on the outages that occurred in the prior generation. To validate the model, we compare the distribution of cascade sizes resulting from $n-2$ contingencies in a 2896 branch test case to cascade sizes in the influence graph. The two distributions are remarkably similar. In addition, we derive an equation with which one can quickly identify modifications to the proposed system that will substantially reduce cascade propagation. With this equation, one can quickly identify critical components that can be improved to substantially reduce the risk of large cascading blackouts.
Optimum structural design of CFRP isogrid cylindrical shell using genetic algorithm

This paper describes an optimum structural design of a CFRP isogrid cylindrical shell using a genetic algorithm (GA). When the CFRP isogrid cylindrical shell receives a prescribed uniaxial compressive load, an objective is to minimize weight of the CFRP isogrid cylindrical shell subjected to the constraint conditions of no buckling and no material failure. The buckling and material failure loads were approximated by a response surface method combined with partitioning of design spaces and these approximated values were used in the process of GA instead of FEM calculations in order to reduce the computational time. Furthermore, the differences from the constraint conditions of the linear or the non-linear (local) buckling loads were also calculated and their results were compared with each other.
Tailored Silicon Nanopost Arrays for Resonant Nanophotonic Ion Production

Nanostructures that have dimensions commensurate with the wavelength of the electromagnetic radiation exhibit near-field effects and, as optical antennas, can couple laser radiation to the local environment. Laser-induced silicon microcolumn arrays behave as nanophotonic ion sources that can be modulated by rotating the plane of light polarization. However, the limited range of surface morphologies available for these substrates makes it difficult to study the underlying mechanism that governs ion production. Here we demonstrate that nanopost arrays (NAPAs) can be tailored to exhibit resonant ion production. Ion yields from posts with subwavelength diameter show sharp resonances at high aspect ratios. The resonant enhancement in ion intensities can be modulated by adjusting the periodicity. In addition to strong molecular ion formation, the presence of high-energy fragmentation channels is observed. Ion yields from NAPAs exhibit dramatic differences for p- and s-polarized laser beams, indicating that ener.
Semiclassical strings on confining backgrounds

This paper discusses some results on semiclassical string configurations lying in the IR sector of supergravity backgrounds dual to confining gauge theories. On the gauge theory side, the string states we analyse correspond to Wilson loops, glueballs and KK‐hadrons. The 1‐loop correction to the classical energy is never subleading, but can be viewed as a coupling dependent rescaling of the dimensionful parameters of the theory.
Aspect-Oriented Opinion Mining from User Reviews in Croatian

Aspect-oriented opinion mining aims to identify product aspects (features of products) about which opinion has been expressed in the text. We present an approach for aspect-oriented opinion mining from user reviews in Croatian. We propose methods for acquiring a domain-specific opinion lexicon, linking opinion clues to product aspects, and predicting polarity and rating of reviews. We show that a supervised approach to linking opinion clues to aspects is feasible, and that the extracted clues and aspects improve polarity and rating predictions.
MMSE extension of V-BLAST based on sorted QR decomposition

In rich-scattering environments, layered space-time architectures like the BLAST system may exploit the capacity advantage of multiple antenna systems. We present a novel, computationally efficient algorithm for detecting V-BLAST architectures with respect to the MMSE criterion. It utilizes a sorted QR decomposition of the channel matrix and leads to a simple successive detection structure. The new algorithm needs only a fraction of computational effort compared to the standard V-BLAST algorithm and achieves the same error performance.
Logistic Regression : The Standard Method of Analysis in Medical

Regression methods are essential to any data analysis which attempts to describe the relationship between a response variable and any number of predictor variables. Frequently, situations involving discrete variables arise. For example, in a medical setting, an outcome might be presence/absence of disease. Logistic regression analysis extends the techniques of multiple regression analysis to research situations in which the outcome variable is categorical, that is, taking on two or more possible values. In this paper, the risk factors for a disease of the eye (retinopathy of prematurity) are identified using logistic regression analysis.
A map reduce framework for programming graphics processors

Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance general purpose computation. We describe a framework designed for high performance GPU programming, built on Nvidia’s Compute Unified Device Architecture (CUDA) platform. The framework is built around the Map Reduce abstraction, which allows application developers to focus on their application, while enabling high performance GPU implementation. We show the utility of our framework by implementing Support Vector Machine training as well as classification, achieving speedups of up to 32× and 150× respectively over commonly used SVM software running on a CPU.
Selective Serotonin Reuptake Inhibitors and the Risk of Osseointegrated Implant Failure

Selective serotonin reuptake inhibitors (SSRIs), the most widely used drugs for the treatment of depression, have been reported to reduce bone formation and increase the risk of bone fracture. Since osseointegration is influenced by bone metabolism, this study aimed to investigate the association between SSRIs and the risk of failures in osseointegrated implants. This retrospective cohort study was conducted on patients treated with dental implants from January 2007 to January 2013. A total of 916 dental implants in 490 patients (94 implants on 51 patients using SSRIs) were used to estimate the risk of failure associated with the use of SSRIs. Data analysis involved Cox proportional hazards, generalized estimating equation models, multilevel mixed effects parametric survival analysis, and Kaplan-Meier analysis. After 3 to 67 mo of follow-up, 38 dental implants failed and 784 succeeded in the nonusers group, while 10 failed and 84 succeeded in the SSRI-users group. The main limitation of this retrospective study was that drug compliance dose and treatment period could not be acquired from the files of the patients. The primary outcome was that compared with nonusers of SSRIs, SSRI usage was associated with an increased risk of dental implants failure (hazard ratio, 6.28; 95% confidence interval, 1.25-31.61; p = .03). The failure rates were 4.6% for SSRI nonusers and 10.6% for SSRI users. The secondary outcomes were that small implant diameters (≤4 mm; p = .02) and smoking habits (p = .01) also seemed to be associated with higher risk of implant failure. Our findings indicate that treatment with SSRIs is associated with an increased failure risk of osseointegrated implants, which might suggest a careful surgical treatment planning for SSRI users.
Combustion analysis in a natural gas engine with pre-chamber by three-dimensional numerical simulation

Highly efficient natural gas engines have been widely used in wide range of sectors from industry and transportation. However, because combustion process in gas engines with a pre-chamber is very complicated, it is difficult to experimentally investigate the combustion process including flame propagation from the pre-chamber. In this study, combustion characteristics in the gas engine with a pre-chamber were numerically investigated by using three-dimensional numerical simulation with detailed chemical reactions. Torch flame combustion brings about high temperature and strong turbulence to the main chamber. Combustion processes of the natural gas engine with pre-chamber can be categorized in three stages. The first stage is high speed flame propagation induced by flame torches from the pre-chamber. The second stage is simple flame propagation in the main-chamber. This flame propagation speed is relatively lower than the first stage combustion, because turbulence kinetic energy is lower than that during the first stage. The curvature of rate of heat release relates to the surface area of flame front and excess air ratio in the flame front. The third stage is autoignition of the unburned mixture in the end gas region. Autoignition in the main-chamber occurs between the torches. The intensity of pressure oscillation and rate of heat release depend on both the mass of the unburned mixture in the end gas region and the onset positions of autoignition. the surface area of flame front. A correlation between combustion pattern and the surface of flame front was found.
Structural descriptions in human-assisted robot visual learning

The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper shows how structural descriptions enable relating models for different aspects of one and the same object, and how being able to relate descriptions for visual models and discourse referents enables incremental updating of model descriptions through dialogue (either robot- or human initiated). The approach has been implemented in an integrated architecture for human-assisted robot visual learning.
Racial Disparities in Sense of Community and Health Status: Implications in Community‐based Participatory Interventions Targeting Chronic Disease in African Americans

This study examined the relation between sense of community (SOC), sociodemographic characteristics, and health status to inform community-based interventions designed to prevent and reduce chronic disease in African Americans. A telephone survey was conducted with 1463 randomly selected residents in Nashville, Tenn. Respondents were majority female (69%), African American (59%), and single (59%), with a mean age of 55 (±17.61 years). African Americans have lower overall SOC scores, or lower scores on the domains related to perceived influence over community and sharing of common community values compared to Whites. High rates of chronic disease and low SES, combined with a low SOC, can hinder efforts to reduce and eliminate disparities. The goal of community-based participatory initiatives is to create programs that are sustainable by the target community after the funding is gone. Thus, to maximize the success, uptake, and sustainability of disease-specific interventions, it is imperative to incorporate assessment of SOC, identify factors that depress SOC, and engage in community collaboration to develop a plan to improve SOC.
Fast Identification of Piece and Score Position via Symbolic Fingerprinting

In this paper we present a novel algorithm that, given a short snippet of an audio performance (piano music, for the time being), identifies the piece and the score position. Instead of using audio matching methods we propose a combination of a state-of-the-art music transcription algorithm and a new symbolic fingerprinting method. The resulting system is usable in both on-line and off-line scenarios and thus may be of use in many application areas. As the evaluation shows the system operates with only minimal lag and achieves high precision even with very short queries.
The prevalence of mental health disorders in (ex-)military personnel with a physical impairment: a systematic review

Background Having a visual, hearing or physical impairment (defined as problems in body function or structure) may adversely influence the mental well-being of military personnel. This paper reviews the existing literature regarding the prevalence of mental health problems among (ex-)military personnel who have a permanent, predominantly, physical impairment. Method Multiple electronic literature databases were searched for relevant studies (EMBASE (1980–January 2014), MEDLINE (1946–January 2014), PsycINFO (2002–January 2014), Web of Science (1975–January 2014)). Results 25 papers were included in the review, representing 17 studies. Studies conducted among US military personnel (n=8) were most represented. A range of mental health disorders were investigated; predominately post-traumatic stress disorder (PTSD), but also depression, anxiety disorder (excluding PTSD), psychological distress and alcohol misuse. The findings indicate that mental health disorders including PTSD (range 2–59%), anxiety (range 16.1–35.5%), depression (range 9.7–46.4%) and psychological distress (range 13.4–36%) are frequently found whereby alcohol misuse was least common (range 2.2–26.2%). Conclusions Common mental health disorders were frequently identified among (ex-)military personnel with a physical impairment. Adequate care and support is necessary during the impairment adaptation process to facilitate the psychosocial challenges (ex-)military personnel with an impairment face. Future research should be directed into factors impacting on the mental well-being of (ex-)military personnel with an impairment, how prevalence rates vary across impairment types and to identify and act on specific needs for care and support.
. Paper Number : 284 Title Page A Study of the Structure of the Web

The World Wide Web is a huge, growing repository of information on a wide range of topics. It is also becoming important, commercially and sociologically, as a place of human interaction within different communities. In this paper we present an experimental study of the structure of the Web. We analyze link topologies of various communities, and patterns of mirroring of content, on 1997 and 1999 snapshots of the Web. Our results give insight into patterns of interaction within communities and how they evolve, as well as patterns of data replication. We also describe the techniques we have developed for performing complex processing on this large data set, and our experiences in doing so. We present new algorithms for finding partial and complete mirrors in URL hierarchies; these are also of independent interest for search and redirection. In order to study and visualize link topologies of different communities, we have developed techniques to compact these large link graphs without much information loss.