Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-time color blending of rendered and captured video

Augmented reality involves mixing captured video with rendered elements in real-time. For augmented reality to be effective in training and simulation applications, the computer generated c omponents need to blend in well with the captured video. Straightforward compositing is not sufficient, since the chromatic content of video and rendered data may be very different such that it is immediately obvious which parts of the composited image were rendered and which were captured. We propose a simple and effective method to color-correct the computer generated imagery. The method relies on the computation of simple statistics such as mean and variance, but does so in an appropriately chosen color space - which is key to the effectiveness of our approach. By shifting and scaling the pixel data in the rendered stream to take on the mean and variance of the captured video stream, the rendered elements blend in very well. Our implementation currently reads, color-corrects and composites video and rendered streams at a rate of more than 22 frames per second for a 720x480 pixel format. Without color correction, our implementation generates around 30 frames per second, indicating that our approach comes at a reasonably small computational cost.
Development and preliminary evaluation of an integrated treatment targeting parenting and depressive symptoms in mothers of children with attention-deficit/hyperactivity disorder.

OBJECTIVE More than 50% of mothers of children with attention-deficit/hyperactivity disorder (ADHD) have a lifetime history of major depressive disorder (MDD). Maternal depressive symptoms are associated with impaired parenting and predict adverse developmental and treatment outcomes for children with ADHD. For these reasons, we developed and examined the preliminary efficacy of an integrated treatment targeting parenting and depressive symptoms for mothers of children with ADHD. This integrated intervention incorporated elements of 2 evidence-based treatments: behavioral parent training (BPT) and cognitive behavioral depression treatment. METHOD Ninety-eight mothers with at least mild depressive symptoms were randomized to receive either standard BPT (n = 51) or the integrated parenting intervention for ADHD (IPI-A; n = 47). Participants were assessed at baseline, posttreatment, and 3- to 6-month follow-up on measures of (a) self-reported maternal depressive symptoms, (b) observed positive and negative parenting, and (c) observed and mother-reported child disruptive behavior and mother-reported child and family impairment. RESULTS The IPI-A produced effects of small to moderate magnitude relative to BPT on maternal depressive symptoms, observed negative parenting, observed child deviance, and child impairment at posttreatment and on maternal depressive symptoms, child disruptive behavior, child impairment and family functioning at follow-up. Contrary to expectations, the BPT group demonstrated moderate to large effects relative to IPI-A on observed positive parenting at follow-up. CONCLUSIONS This treatment development study provides encouraging preliminary support for the integrated intervention targeting parenting and depressive symptoms in mothers of children with ADHD. Future studies should examine whether this integrated intervention improves long-term developmental outcomes for children with ADHD. (PsycINFO Database Record (c) 2013 APA, all rights reserved).
A Microsatellite-Based Linkage Map of the Honeybee, Apis mellifera L.

A linkage map for the honeybee (Apis mellifera) was constructed mainly from the progeny of two hybrid queens (A. m. ligustica × A. m. mellifera). A total of 541 loci were mapped; 474 were microsatellite loci; a few were additional bands produced during PCRs, one of the two rDNA loci (using ITS), the MDH locus, and three sex-linked markers (Q and FB loci and one RAPD band). Twenty-four linkage groups were estimated of which 5 were minute (between 7.1 and 22.8 cM) and 19 were major groups (>76.5 cM). The number of major linkage groups exceeded by three the number of chromosomes of the complement (n = 16). The sum of the lengths of all linkage groups amounts to 4061 cM to which must be added at least 320 cM to link groups in excess, making a total of at least 4381 cM. The length of the largest linkage group I was 630 cM. The average density of markers was 7.5 cM and the average resolution was about one marker every 300 kb. For most of the large groups, the centromeric region was determined genetically, as described in Baudry et al. (2004, accompanying article in this issue), using half-tetrad analysis of thelytokous parthenogens in which diploid restoration occurs through central fusion. Several cases of segregation distortion that appreared to result from deleterious recessives were discovered. A low positive interference was also detected.
Vitamin C and A1c Relationship in the National Health and Nutrition Examination Survey (NHANES) 2003–2006

Objective: The scope of the diabetes epidemic stresses the critical need for primary prevention. The consumption of foods high in vitamin C has been associated with lower risk of diabetes. The aim of this study was to analyze the relation between vitamin C concentration and glycemic control index in a large sample of U.S. adults without a history of diabetes. Methods: We analyzed data collected from 7697 adult participants in the National Health and Nutrition Examination Survey (NHANES) 2003–2006 who did not report a history of diabetes. Multivariate linear regression analyzed the association of vitamin C and hemoglobin A1c (A1c) levels after accounting for potential confounders. We also conducted stratified analyses based on race/ethnicity, gender, age group, body mass index, and vitamin D status. Results: Vitamin C concentrations were inversely associated with A1c (p = 0.0202). Stronger inverse associations were observed in subjects 18–44 years of age (p = 0.0017), as well as in female (p = 0.0035) and Mexican American (p = 0.0149) subgroups. Evidence of a significant interaction between vitamin C and vitamin D was noted in subjects aged 18–44 years and in females (p = 0.0073 and 0.0095 respectively), with the inverse association tending to be evident at lower levels of vitamin D. Conclusions: Vitamin C status may influence glycemic control. Investigators should be cognizant of the interaction of vitamins C and D and should take this into consideration in planning future studies.
Immune Responses and Lassa Virus Infection

Lassa fever is a hemorrhagic fever endemic to West Africa and caused by Lassa virus, an Old World arenavirus. It may be fatal, but most patients recover from acute disease and some experience asymptomatic infection. The immune mechanisms associated with these different outcomes have not yet been fully elucidated, but considerable progress has recently been made, through the use of in vitro human models and nonhuman primates, the only relevant animal model that mimics the pathophysiology and immune responses induced in patients. We discuss here the roles of the various components of the innate and adaptive immune systems in Lassa virus infection and in the control of viral replication and pathogenesis.
Multi-label Classification with Meta-Labels

The area of multi-label classification has rapidly developed in recent years. It has become widely known that the baseline binary relevance approach can easily be outperformed by methods which learn labels together. A number of methods have grown around the label power set approach, which models label combinations together as class values in a multi-class problem. We describe the label-power set-based solutions under a general framework of meta-labels and provide some theoretical justification for this framework which has been lacking, explaining how meta-labels essentially allow a random projection into a space where non-linearities can easily be tackled with established linear learning algorithms. The proposed framework enables comparison and combination of related approaches to different multi-label problems. We present a novel model in the framework and evaluate it empirically against several high-performing methods, with respect to predictive performance and scalability, on a number of datasets and evaluation metrics. This deployment obtains competitive accuracy for a fraction of the computation required by the current meta-label methods for multi-label classification.
Effects of choice on student motivation and physical activity behavior in physical education.

This study examined the effects of increased autonomy on (a) self-determination and (b) physical activity levels. Seventh- and eighth-grade girls (N = 122) in four classes participated in two fitness units (one allowing choice of activities, the other no-choice). The order of the units was counterbalanced, so that two classes participated in the choice unit first, and the other two participated in the no-choice unit first. The abridged Situational Intrinsic Motivation Scale (SIMS) was administered after each unit. Pedometers were used to measure step counts during both units. Overall, self-determination was higher in the choice unit. The repeated measures analysis also indicated that girls who experienced the choice unit first, and then were denied the opportunity to make choices had the lowest levels of self-determination. The results provide empirical support for the theoretical prediction that increased autonomy yields higher levels of self-determination.
Quantitative trait loci mapping and gene network analysis implicate protocadherin‐15 as a determinant of brain serotonin transporter expression

Presynaptic serotonin (5‐hydroxytryptamine, 5‐HT) transporters (SERT) regulate 5‐HT signaling via antidepressant‐sensitive clearance of released neurotransmitter. Polymorphisms in the human SERT gene (SLC6A4) have been linked to risk for multiple neuropsychiatric disorders, including depression, obsessive‐compulsive disorder and autism. Using BXD recombinant inbred mice, a genetic reference population that can support the discovery of novel determinants of complex traits, merging collective trait assessments with bioinformatics approaches, we examine phenotypic and molecular networks associated with SERT gene and protein expression. Correlational analyses revealed a network of genes that significantly associated with SERT mRNA levels. We quantified SERT protein expression levels and identified region‐ and gender‐specific quantitative trait loci (QTLs), one of which associated with male midbrain SERT protein expression, centered on the protocadherin‐15 gene (Pcdh15), overlapped with a QTL for midbrain 5‐HT levels. Pcdh15 was also the only QTL‐associated gene whose midbrain mRNA expression significantly associated with both SERT protein and 5‐HT traits, suggesting an unrecognized role of the cell adhesion protein in the development or function of 5‐HT neurons. To test this hypothesis, we assessed SERT protein and 5‐HT traits in the Pcdh15 functional null line (Pcdh15av‐3J), studies that revealed a strong, negative influence of Pcdh15 on these phenotypes. Together, our findings illustrate the power of multidimensional profiling of recombinant inbred lines in the analysis of molecular networks that support synaptic signaling, and that, as in the case of Pcdh15, can reveal novel relationships that may underlie risk for mental illness.
Femto-assisted location estimation in macro/femto heterogeneous networks

Location estimation and tracking for mobile stations (MSs) have attracted a significant amount of attention in recent years. In indoor environment where the signals from global positioning system (GPS) are either weak or blocked, signal sources from long term evolution advanced (LTE-A) system can be adopted to provide location estimation for MS. Based on the range signals from both macro base station (mBS) and femto BS (fBS) in LTE-A heterogeneous networks (HetNet), we propose femto-assisted location estimation (FALE) schemes to estimate MS's position especially for indoor environments with insufficient signal inputs from mBSs. Since fBSs are usually deployed by users in their residential or business buildings, the locations of these fBSs generally cannot be known exactly. We depict the imprecise fBSs' positions as belief information to investigate a Bayesian estimation method based on the time difference of arrival (TDOA) measurement, and utilize particle filtering technique to develop the FALE algorithm. Moreover, a simplified FALE (FALE-S) scheme is proposed to reduce the computation cost resulting from the particle filter in original FALE method. Performance evaluation is conducted based on the LTE-A HetNet environments. Compared to conventional scheme, simulation results show that the proposed FALE algorithms can provide better location estimation of MS through the assistance of fBSs.
Assessing the performance of object‐oriented LiDAR predictors for forest bird habitat suitability modeling

Habitat suitability models (HSMs) are widely used to plan actions for species of conservation interest. Models that will be turned into conservation actions need predictors that are both ecologically pertinent and fit managers’ conceptual view of ecosystems. Remote sensing technologies such as light detection and ranging (LiDAR) can describe landscapes at high resolution over large spatial areas and have already given promising results for modeling forest species distributions. The point‐cloud (PC) area‐based LiDAR variables are often used as environmental variables in HSMs and have more recently been complemented by object‐oriented (OO) metrics. However, the efficiency of each type of variable to capture structural information on forest bird habitat has not yet been compared. We tested two hypotheses: (1) the use of OO variables in HSMs will give similar performance as PC area‐based models; and (2) OO variables will improve model robustness to LiDAR datasets acquired at different times for the same area. Using the case of a locally endangered forest bird, the capercaillie (Tetrao urogallus), model performance and predictions were compared between the two variable types. Models using OO variables showed slightly lower discriminatory performance than PC area‐based models (average ΔAUC = −0.032 and −0.01 for females and males, respectively). OO‐based models were as robust (absolute difference in Spearman rank correlation of predictions ≤ 0.21) or more robust than PC area‐based models. In sum, LiDAR‐derived PC area‐based metrics and OO metrics showed similar performance for modeling the distribution of the capercaillie. We encourage the further exploration of OO metrics for creating reliable HSMs, and in particular testing whether they might help improve the scientist–stakeholder interface through better interpretability.
An efficient algorithm for syllable hypothesization in continuous Mandarin speech recognition

An efficient search algorithm for generating syllable hypotheses in continuous Mandarin speech recognizer is proposed. The fast syllable hypothesizing algorithm consists of a forward, time-synchronous, modified Viterbi search and a parallel backtracking procedure. This algorithm can generate a lattice of syllable hypotheses with very low time delay. The superiority of the new algorithm to other direct sentence hypothesis algorithms is also experimentally demonstrated in terms of search efficiency and accuracy. >
Prospects for detecting the 21 cm forest from the diffuse intergalactic medium with LOFAR

We discuss the feasibility of the detection of the 21 cm forest in the diffuse intergalactic medium (IGM) with the radio telescope LOFAR. The optical depth to the 21 cm line has been derived using simulations of reionization which include detailed radiative transfer of ionizing photons. We find that the spectra from reionization models with similar total comoving hydrogen ionizing emissivity but different frequency distribution look remarkably similar. Thus, unless the reionization histories are very different from each other (e.g. a predominance of UV versus X-ray heating) we do not expect to distinguish them by means of observations of the 21 cm forest. Because the presence of a strong X-ray background would make the detection of the 21 cm line absorption impossible, the lack of absorption could be used as a probe of the presence/intensity of the X-ray background and the thermal history of the Universe. Along a random line of sight LOFAR could detect a global suppression of the spectrum from z greater than or similar to 12, when the IGM is still mostly neutral and cold, in contrast with the more well-defined, albeit broad, absorption features visible at lower redshift. Sharp, strong absorption features associated with rare, high-density pockets of gas could also be detected at z similar to 7 along preferential lines of sight.
Utilization of Upper Limb Joint Replacements during 1972–90: The Mayo Clinic Experience

Increasing application of expensive medical technologies, including joint replacement, is of concern in the current economic climate. Successful upper limb joint replacements (ULJRs) are being performed, but few detailed data about their utilization are available. To explore the resource implications of such surgery, the utilization of total shoulder replacement (TSR), total elbow replacement (TER) and total wrist replacement (TWR) were examined from the time these procedures first became available at the Mayo Clinic up to 1990. The age- and sex-adjusted utilization rate for TSR among Olmsted County, Minnesota, residents was 1.8 per 100000 person-years (p-y), 0.8 per 100000 p-y for TER and 1.1 per 100000 p-y for TWR. Overall utilization of primary ULJR among Olmsted County residents during the 19-year study period was 3.8 per 100000 p-y. The commonest indication for TSR was osteoarthritis (46 per cent) and for TER and TWR was rheumatoid arthritis (50 and 81 per cent respectively). There was no consistent trend in the utilization of these procedures among Olmsted County residents, but the number of referral patients receiving a ULJR at the Mayo Clinic increased steadily during the study period. The Mayo Clinic experience suggests an increasing demand for ULJR, particularly TSR and TER. With continued advances in, and diffusion of, the technology this demand may increase further.
All-Pairs Approximate Shortest Paths and Distance Oracle Preprocessing

Given an undirected, unweighted graph G on n nodes, there is an O(n^2*poly log(n))-time algorithm that computes a data structure called distance oracle of size O(n^{5/3}*poly log(n)) answering approximate distance queries in constant time. For nodes at distance d the distance estimate is between d and 2d + 1. This new distance oracle improves upon the oracles of Patrascu and Roditty (FOCS 2010), Abraham and Gavoille (DISC 2011), and Agarwal and Brighten Godfrey (PODC 2013) in terms of preprocessing time, and upon the oracle of Baswana and Sen (SODA 2004) in terms of stretch. The running time analysis is tight (up to logarithmic factors) due to a recent lower bound of Abboud and Bodwin (STOC 2016). Techniques include dominating sets, sampling, balls, and spanners, and the main contribution lies in the way these techniques are combined. Perhaps the most interesting aspect from a technical point of view is the application of a spanner without incurring its constant additive stretch penalty.
Ownership-Aware Software-Defined Backhauls in Next-Generation Cellular Networks

Future cellular networks will be owned by multiple parties, e.g., two mobile operators, each of which controls some elements of the access and backhaul infrastructure. In this context, it is important that as much traffic as possible is processed by the same party that generates it, i.e., that the coupling between traffic and network ownership is maximized. Software-defined backhaul networks can attain this goal; however, existing management schemes ignore ownership altogether. We fill this gap by presenting an ownership- aware network management scheme, maximizing the amount of traffic that is processed by the same party it belongs to.
Execution control of robotic tasks: estimators representation

This paper deals with a method to design the control architecture for mobile robots. A Petri net-based approach is extended in this work to deal with uncontrollable events. In particular, the case where an uncontrollable transition is present in the model of the task is tackled. This situation may arise, for example, when taking into account the initialization phase of the estimators.
An Emotion's Emergence, Unfolding, and Potential for Empathy: A Study of Resentment by the “Psychologist of Avon”

To understand human emotions we need, alongside appraisal, the concept of emergence (derivation from the expectations of relationships) and the concept of unfolding (of sequences that can be expressed as narratives). These processes can be seen in resentment, which has not been studied extensively in psychology. It is associated with envy, and it can be thought of as a kind of destructive anger. Such issues can be studied in works of literature: simulations of the social world in which emotions can be experienced by means of empathy. Shakespeare's Othello enables us to understand the emergence and unfolding of resentment in Iago, who is passed over for promotion and improvises a plan to destroy Othello. Iago's resentment is difficult to empathize with, and the play raises the question of whether we need to recognize in ourselves the capacity for reprehensible emotions.
Biophysical Characterization of the Cocaine Binding Pocket in the Serotonin Transporter Using a Fluorescent Cocaine Analogue as a Molecular Reporter*

To explore the biophysical properties of the binding site for cocaine and related compounds in the serotonin transporter SERT, a high affinity cocaine analogue (3β-(4-methylphenyl)tropane-2β-carboxylic acidN-(N-methyl-N-(4-nitrobenzo-2-oxa-1,3-diazol-7-yl)ethanolamine ester hydrochloride (RTI-233); K I = 14 nm) that contained the environmentally sensitive fluorescent moiety 7-nitrobenzo-2-oxa-1,3-diazole (NBD) was synthesized. Specific binding of RTI-233 to the rat serotonin transporter, purified from Sf-9 insect cells, was demonstrated by the competitive inhibition of fluorescence using excess serotonin, citalopram, or RTI-55 (2β-carbomethoxy-3β-(4-iodophenyl)tropane). Moreover, specific binding was evidenced by measurement of steady-state fluorescence anisotropy, showing constrained mobility of bound RTI-233 relative to RTI-233 free in solution. The fluorescence of bound RTI-233 displayed an emission maximum (λmax) of 532 nm, corresponding to a 4-nm blue shift as compared with the λmax of RTI-233 in aqueous solution and corresponding to the λmax of RTI-233 in 80% dioxane. Collisional quenching experiments revealed that the aqueous quencher potassium iodide was able to quench the fluorescence of RTI-233 in the binding pocket (K SV = 1.7m − 1), although not to the same extent as free RTI-233 (K SV = 7.2m − 1). Conversely, the hydrophobic quencher 2,2,6,6-tetramethylpiperidine-N-oxyl (TEMPO) quenched the fluorescence of bound RTI-233 more efficiently than free RTI-233. These data are consistent with a highly hydrophobic microenvironment in the binding pocket for cocaine-like uptake inhibitors. However, in contrast to what has been observed for small-molecule binding sites in, for example, G protein-coupled receptors, the bound cocaine analogue was still accessible for aqueous quenching and, thus, partially exposed to solvent.