Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing Physical Activity in Children and Youth with Special Health Care Needs: A Pilot Study

Background. Evidence suggests that children and youth with special health care needs (CYSHCN) have decreased physical activity compared to peers. This study describes weight status and physical activity in CYSHCN and identifies factors associated with physical activity and community resources to promote physical activity. Methods. Parents (n = 21) and CYSHCN (n = 23) were recruited from a pediatric clinic. The most prevalent diagnoses were autism (n = 7, 30%) and cerebral palsy (n = 3, 13%). Interviews were conducted with parents for information on physical activity and community resources. Children's height and weight were measured to calculate body mass index (BMI). Results. The majority of CYSHCN (n = 13, 59%) were obese. CYSHCN did not meet recommended levels of 60 minutes of daily physical activity and engaged in more screen time than recommended. More children with cognitive/behavioral/emotional diagnoses were obese compared to children with physical/medical diagnoses. A majority of parents (n = 16, 73%) indicated their CYSHCN need more supervision to participate in physical activity in community programs. Conclusion. The majority of CYSHCN in this study were obese and sedentary. Resources to promote physical activity are needed for this population.
Immunoglobulin with complementary paratope and idiotope

A hybridoma antibody (11E7-1) was isolated from a myeloma fusion with nu/nu BALB/c immunized against the T15 idiotype. This IgM antibody exhibited a dual specificity, binding both to PC and to anti-PC antibodies from two idiotype families. Binding to PC and anti-PC antibodies are completely inhibited by PC analogs. Furthermore, the hybridoma antibody binds to itself. Self-binding is also inhibited by PC analogs. From these data, we suggest that 11E7-1 hybridoma antibody has a PC-specific paratope site, and at same time expresses the internal PC antigen idiotope. The term autobody is proposed to signify its self-binding and potential role in autoimmunity. Autobodies may have a unique role in the network of immune system. Furthermore, it may be a model for designing idiotype vaccines.
Love at first swipe? Explaining Tinder self-presentation and motives

The emergence of location-based real-time dating (LBRTD) apps such as Tinder has introduced a new way for users to get to know potential partners nearby. The design of the apps represents a departure from “old-school” dating sites as it relies on the affordances of mobile media. This might change the way individuals portray themselves as their authentic or deceptive self. Based on survey data collected via Mechanical Turk and using structural equation modeling, we assess how Tinder users present themselves, exploring at the same time the impact of their personality characteristics, their demographics, and their motives of use. We find that self-esteem is the most important psychological predictor, fostering real self-presentation but decreasing deceptive self-presentation. The motives of use—hooking up/sex, friendship, relationship, traveling, self-validation, and entertainment—also affect the two forms of self-presentation. Demographic characteristics and psychological antecedents influence the motives for using Tinder, with gender differences being especially pronounced. Women use Tinder more for friendship and self-validation, while men use it more for hooking up/sex, traveling, and relationship seeking. We put the findings into context, discuss the limitations of our approach and provide avenues for future research into the topic.
A New Dynamic Access Control in Wireless Sensor Networks

Due to the property of sensor devices, the sensor networks may easily be compromised by attackers who modify messages or provide misleading information to other sensor nodes. On the other hand, nodes in a sensor network may be lost because of power exhaustion or malicious attacks. Therefore, new node deployment is necessary. Based on the one-way hash function, this paper will present a new dynamic access control scheme for secure wireless sensor networks. In the proposed protocol, every node needs to perform only five hash function computations and four XOR (oplus) operations to accomplish mutual authentication and a shared key establishment. It is very simple and efficient.
Predicting toxicity in marine sediments with numerical sediment quality guidelines

Matching synoptically collected chemical and laboratory bioassay data (n = 1,068) were compiled from analyses of surficial sediment samples collected during 1990 to 1993 to evaluate the predictive ability of sediment quality guidelines (SQGs), specifically, effects range—low (ERL), effects range—median (ERM), threshold effects level (TEL), and probable effects level (PEL) values. Data were acquired from surveys of sediment quality performed in estuaries along the Atlantic, Pacific, and Gulf of Mexico coasts. Samples were classified as either nontoxic (p > 0.05 relative to controls), marginally toxic (p < 0.05 only), or highly toxic (p < 0.05 and response greater than minimum significant difference relative to controls). This analysis indicated that, when not exceeded, the ERLs and TELs were highly predictive of nontoxicity. The percentages of samples that were highly toxic generally increased with increasing numbers of guidelines (particularly the ERMs and PELs) that were exceeded. Also, the incidence of toxicity increased with increases in concentrations of mixtures of chemicals normalized to (divided by) the SQGs. The ERMs and PELs indicated high predictive ability in samples in which many substances exceeded these concentrations. Suggestions are provided on the uses of these estimates of the predictive ability of sediment guidelines.
The Effect of Random Weight Updation in Dynamic Self Organizing Maps

The random weight adaptation scheme presented in this paper is capable of simulating the effect of presenting the inputs in a random order to self-organizing map algorithms. The resulting effect enables the inputs to be presented in sequential order and still achieve results similar to that of presenting the inputs in random order. This capability enables efficient processing of massive datasets. The random weight adaptation is implemented on a growing variant of the self organizing map algorithm called the high dimensional growing self organizing map (HDGSOM) to demonstrate the efficiency of the new weight adaptation scheme. Several experimental results using this new algorithm are also presented.
Detection of POI boundaries through geographical topics

Characteristics of a point-of-interest (POI) can be discovered by mining geo-tagged textual data from social media around the POI. However, the relevance of the data to the POI varies according to the distance between the POI and the positions in which the data are generated. That is, the textual data generated in positions far from the POI usually have nothing to do with the POI. Therefore, it is of importance to know a POI boundary that sufficiently covers geo-tagged textual data relevant to the POI. This paper proposed Boundary-dependent Explicit Semantic Analysis (BESA) to detect a boundary of a POI. BESA represents the POI boundary as a circle centered at the POI, but radius of the circle is unknown. If the radius is specified as a certain distance from the POI, textual data generated within the circular boundary are reduced into a topic vector where each topic is a Wikipedia concept. The number of Wikipedia concepts is fixed, but their enormous quantity allows BESA to explore variation of topics according to different circular boundaries. In order to approximate the best fit boundary, we regard a POI as circles with increasing radii. By exploring the topical similarities between the vector of a POI center and those of distant positions, the boundary of the POI is determined. The similarities reveal changes of geographical topics from the POI center as the radius of the POI increases. Thus the boundary of the POI is set with the radius at which the similarity declines drastically. According to the experiments with five different POIs, top 20 highly weighed topics are more relevant to the POIs within the boundaries detected by the proposed method rather than within the POI centers and within boundaries next larger than the detected boundaries. The results prove plausibility of BESA in detecting boundaries of POIs.
Vps10p cycles between the late-Golgi and prevacuolar compartments in its function as the sorting receptor for multiple yeast vacuolar hydrolases

VPS10 (Vacuolar Protein Sorting) encodes a large type I transmembrane protein (Vps10p), involved in the sorting of the soluble vacuolar hydrolase carboxypeptidase Y (CPY) to the Saccharomyces cerevisiae lysosome-like vacuole. Cells lacking Vps10p missorted greater than 90% CPY and 50% of another vacuolar hydrolase, PrA, to the cell surface. In vitro equilibrium binding studies established that the 1,380-amino acid lumenal domain of Vps10p binds CPY precursor in a 1:1 stoichiometry, further supporting the assignment of Vps10p as the CPY sorting receptor. Vps10p has been immunolocalized to the late-Golgi compartment where CPY is sorted away from the secretory pathway. Vps10p is synthesized at a rate 20-fold lower that that of its ligand CPY, which in light of the 1:1 binding stoichiometry, requires that Vps10p must recycle and perform multiple rounds of CPY sorting. The 164-amino acid Vps10p cytosolic domain is involved in receptor trafficking, as deletion of this domain resulted in delivery of the mutant Vps10p to the vacuole, the default destination for membrane proteins in yeast. A tyrosine-based signal (YSSL80) within the cytosolic domain enables Vps10p to cycle between the late-Golgi and prevacuolar/endosomal compartments. This tyrosine-based signal is homologous to the recycling signal of the mammalian mannose-6-phosphate receptor. A second yeast gene, VTH2, encodes a protein highly homologous to Vps10p which, when over-produced, is capable of suppressing the CPY and PrA missorting defects of a vps10 delta strain. These results indicate that a family of related receptors act to target soluble hydrolases to the vacuole.
Uncertainty in ERP-Controlled Manufacturing Systems

The use of Enterprise Resource Planning (ERP) is becoming increasingly prevalent in many modern manufacturing enterprises. However, knowledge of their performance when perturbed simultaneously by several significant uncertainties is not as widespread as it should have been. This paper presents the developmental and experimental work on modeling uncertainty within an ERP multi-product, multi-level dependent demand manufacturing planning, and scheduling system in a simulation model developed using ARENA/SIMAN. To enumerate how uncertainty affects the performance of an ERP-controlled manufacturing system, the percentages of Finished Products Delivered Late (FPDL) and Parts Delivered Late (PDL) are measured. Sensitivity analysis shows that PDL gives a more accurate effect. Simulation results are analyzed using Analysis of Variance (ANOVA), which identifies four uncertainties; namely, late delivery from suppliers, machine breakdowns, unexpected/urgent changes to machine assignments, and customer design changes, which significantly affect PDL. Some uncertainties are found significantly interactive in two and three ways. They produce either knock-on and/or compound effects, a factor not generally recognized as a criterion for decision-making.
Thesis proposal: High-quality automatic data clustering

Data clustering, the task of grouping related objects in a set of data, is a powerful technique in machine learning. Data clustering is used in many machine learning tasks to learn about data structure, to summarize data, and to find a model of data density, among other uses. The two essential questions in data clustering are “how many groups are there? ”, and “what are the groups? ” There are many algorithms for the latter problem, but not as many solutions for the former problem. In this proposal I outline goals for improving the answers to both of these questions using a new model selection technique for clustering based on the distortion of data, and analyzing the new k-harmonic means algorithm which has the ability to find higher-quality groupings than standard algorithms such as k-means and EM with a mixture of Gaussians. I also propose interesting datasets and problems in computer architecture simulation to which we will apply the resulting work.
High-Speed Ultralow-Power Hybrid Optical Transmitter Module With InP I/Q-SEMZM and BiCMOS Drivers With 4-b Integrated DAC

A hybrid optical transmitter module comprising a 15-segment InP in-phase/quadrature-phase segmented Mach-Zehnder modulator and two SiGe:C BiCMOS drivers featuring integrated 4-b digital-to-analog converter functionality is described. The drivers, fabricated in the 0.13-μm process of IHP, deliver a differential output voltage of 2.5 Vpp across all the 15 segments while dissipating less than 1 W of power each, at the maximum. Clear electrical eye diagrams up to 40-Gb/s from every output are reported. The module allows a wide range of modulation formats, among which up to eight-pulse amplitude modulation and polarization-division-multiplexed (PDM) 64-quadrature amplitude modulation (QAM) back-to-back error-free electro-optical transmission at a record speed of 32 GBd are demonstrated. The 32-GBd PDM 64-QAM signal was transmitted error-free over 80 km of standard single-mode fiber, featuring 7.8-pJ/b energy consumption. The devised hybrid arrangement proves the suitability of SiGe HBT drivers for achieving higher speeds over their CMOS counterparts, with comparable low power dissipation, for advanced optical transceivers.
Measuring ectomycorrhizal fungal dispersal: macroecological patterns driven by microscopic propagules

Dispersal plays a prominent role in most conceptual models of community assembly. However, direct measurement of dispersal across a whole community is difficult at ecologically relevant spatial scales. For cryptic organisms, such as fungi and bacteria, the scale and importance of dispersal limitation has become a major point of debate. We use an experimental island biogeographic approach to measure the effects of dispersal limitation on the ecological dynamics of an important group of plant symbionts, ectomycorrhizal fungi. We manipulated the isolation of uncolonized host seedlings across a natural landscape and used a range of molecular techniques to measure the dispersal rates of ectomycorrhizal propagules and host colonization. Some species were prolific dispersers, producing annual spore loads on the order of trillions of spores per km2. However, fungal propagules reaching host seedlings decreased rapidly with increasing distance from potential spore sources, causing a concomitant reduction in ectomycorrhizal species richness, host colonization and host biomass. There were also strong differences in dispersal ability across species, which correlated well with the predictable composition of ectomycorrhizal communities associated with establishing pine forest. The use of molecular tools to measure whole community dispersal provides a direct confirmation for a key mechanism underlying island biogeography theory and has the potential to make microbial systems a model for understanding the role of dispersal in ecological theory.
Is Public Service Motivation a Better Explanation of Nonprofit Career Preferences Than Government Career Preferences?

Public service motivation (PSM) is a multifaceted theory that explains, among other things, the career preferences of individuals. Some have suggested that PSM is not inherently government specific and thus is also a meaningful characteristic of individuals who are employed in the nonprofit sector. This study sought to add to this body of research by exploring the relationship that PSM has to nonprofit and government career preferences, while controlling for the influences of age, gender, minority status, and work experience. The findings of this study demonstrated that individuals with high levels of PSM preferred nonprofit careers over government careers. However, the gender of the respondents was found to be the most important predictor of career preferences when compared with PSM. The implications of these findings to the field of public administration and management are discussed.
Some usability hypotheses for verification

The idea of specifying and verifying software to eliminate errors has been studied extensively over the last three decades or more. Recent advances in automated theorem proving have given rise to a range of new verification tools being developed. Despite this, very little is known about the effect of using such tools on software development. In this paper, we present several verification-related usability hypotheses which we believe warrant further investigation. These hypotheses are based on observations from the literature, as well as our own experiences in developing and using the Whiley verification system.
Qualitative Spatio- Temporal Representation and Reasoning: Trends and Future Directions Library of Congress Cataloging-in-publication Data

Qualitative spatio-temporal representation and reasoning: trends and future directions / Shyamanta M. Hazarika, editor. p. cm. Includes bibliographical references and index. Summary: " This book is a contribution to the emerging discipline of qualitative spatial information theory within artificial intelligence, covering both theory and application-centric research and providing a comprehensive perspective on the emerging area of qualitative spatio-temporal representation and reasoning "-All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher. Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.
An Admission Mechanism for ABR Traffic in an ATM Wireless Network

ABSTRACT: This paper takes into account the majority of problems regarding Call Admission Control (CAC) in a wireless ATM network. In particular it proposes a mechanism, which is threshold-based to privilege handover requests over new call requests, to decide the admission of call s using the Available Bit Rate (ABR) mode already standardized by the ATM Forum for transmission on wired ATM networks. Each user declares, as provided for in the ABR, a Minimum Cell Rate (MCR) and a Peak Cell Rate (PCR), in terms of the number of radio channels required. A call can be accepted only if the network can guarantee the minimum requirements, that is, the MCR. If, on the other hand, there are free channels, they are assigned, according to a proportional strategy, to the call s that before were transmitting with a number of channels less than the PCR. An analytical model is presented to evaluate the performance of this strategy. Finall y, the model is used to analyze the influence of the system parameters in a case study: a wireless access network to the ATM backbone in the office area of a factory.
A survey of wireless sensor network applications from a power utility's distribution perspective

The task of monitoring and controlling power distribution networks is very challenging given the huge number of assets involved and their wide geographic distribution; this frames a role for wireless sensor network (WSN) applications. This paper provides an overview of the highlights from a comprehensive survey commissioned by Eskom regarding the feasibility of WSNs on the transmission and distribution network; the aim is to direct power utility investment and research and development effort.
Valuing Consumer Products by the Time Spent Using Them: An Application to the Internet

For some goods, the main cost of buying the product is not the price but rather the time it takes to use them. Only about 0.2% of consumer spending in the U.S., for example, went for Internet access in 2004 yet time use data indicates that people spend around 10% of their entire leisure time going online. For such goods, estimating price elasticities with expenditure data can be difficult, and, therefore, estimated welfare gains highly uncertain. We show that for time-intensive goods like the Internet, a simple model in which both expenditure and time contribute to consumption can be used to estimate the consumer gains from a good using just the data on time use and the opportunity cost of people's time (i.e., the wage). The theory predicts that higher wage internet subscribers should spend less time online (for non-work reasons) and the degree to which that is true identifies the elasticity of demand. Based on expenditure and time use data and our elasticity estimate, we calculate that consumer surplus from the Internet may be around 2% of full-income, or several thousand dollars per user. This is an order of magnitude larger than what one obtains from a back-of-the-envelope calculation using data from expenditures.
D G ] 5 M ar 2 00 5 Jacobi structures on affine bundles

We study affine Jacobi structures (brackets) on an affine bundle π : A→M , i.e. Jacobi brackets that close on affine functions. We prove that if the rank of A is non-zero, there is a one-to-one correspondence between affine Jacobi structures on A and Lie algebroid structures on the vector bundle A = ⋃ p∈M Aff(Ap, R) of affine functionals. In the case rank A = 0 it is shown that there is a one-to-one correspondence between affine Jacobi structures on A and local Lie algebras on A. Some examples and applications, also for the linear case, are discussed. For a special type of affine Jacobi structures which are canonically exhibited (strongly-affine or affine-homogeneous Jacobi structures) over a real vector space of finite dimension, we describe the leaves of its characteristic foliation as the orbits of an affine representation. These affine Jacobi structures can be viewed as an analog of the Kostant-Arnold-Liouville linear Poisson structure on the dual space of a real finite-dimensional Lie algebra. Mathematics Subject Classification (2000): 53D17, 53D05, 81S10.
The effects of wearing lower body compression garments during a cycling performance test.

PURPOSE Compression garments have been commonly used in a medical setting as a method to promote blood flow. Increases in blood flow during exercise may aid in the delivery of oxygen to the exercising muscles and, subsequently, enhance performance. The aim of the current study was to investigate the effect of wearing lower body compression garments during a cycling test. METHODS Twelve highly trained cyclists (mean ± SD age 30 ± 6 y, mass 75.6 ± 5.8 kg, VO2peak 66.6 ± 3.4 mL · kg-1 · min-1) performed two 30-min cycling bouts on a cycle ergometer in a randomized, crossover design. During exercise, either full-length lower body compression garments (COMP) or above-knee cycling shorts (CON) were worn. Cycling bouts involved 15 min at a fixed workload (70% of VO2max power) followed by a 15-min time trial. Heart rate (HR) and blood lactate (BL) were measured during the fixed-intensity component of the cycling bout to determine the physiological effect of the garments. Calf girth (CG), thigh girth (TG) and perceived soreness (PS) were measured preexercise and postexercise. RESULTS COMP produced a trivial effect on mean power output (ES = .14) compared with CON (mean ± 95% CI 1.3 ±1.0). COMP was also associated with a lower HR during the fixed-workload section of the test (-2.6% ± 2.3%, ES = -.38). There were no differences between groups for BL, CG, TG, and PS. CONCLUSION Wearing compression garments during cycling may result in trivial performance improvements of ~1% and may enhance oxygen delivery to the exercising muscles.