Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender Differences in Physiologic Markers and Health Behaviors Associated With Childhood Obesity

BACKGROUND: Previous studies have demonstrated gender-related differences in body composition, physical activity, and diet. This observational study assesses gender variance in independent predictors for obesity to determine targeted areas for intervention. METHODS: Data from 1714 sixth-grade students enrolled in Project Healthy Schools were compared by using health behaviors and physiologic markers (lipids, random glucose, blood pressure, and resting and recovery heart rates). Students were stratified by gender and obesity (BMI ≥95th percentile by age and gender). Physiologic markers and behaviors were compared by using χ2 analysis. Univariate associations with P < . 10 were included in a stepwise logistic regression model to determine independent predictors for obesity by gender. RESULTS: Nonobese students (both boys and girls) showed significantly healthier physiologic parameters compared with their obese counterparts. Two behaviors independently correlated with obesity in both boys and girls: regularly eating school lunches (odds ratio [OR] 1.29, 95% confidence interval [CI] 1.01–1.64; OR 1.27, 95% CI 1.00–1.62, respectively) and watching ≥2 hours of television per day (OR 1.19, 95% CI 1.07–1.32; OR 1.19, 95% CI 1.06–1.34, respectively). Vigorous physical activity and involvement in school sports teams appeared to be protective against obesity in boys (OR 0.90, 95% CI 0.82–0.98; OR 0.77, 95% CI 0.64–0.94, respectively), whereas milk consumption appeared protective in girls (OR 0.81, 95% CI 0.67–0.98). CONCLUSIONS: Among middle-school children, we observed gender-related differences in factors associated with obesity. Additional research is warranted to determine the beneficial impact of improving school lunches and decreasing screen time, while improving our understanding of gender-related differences in milk consumption and physical activities in relation to BMI.
Evaluation of Energy-Efficient Heuristics for ACO-based Routing in Mobile Wireless Sensor Networks

Mobile ad-hoc networks demand routing algorithms able to adapt to network topologies subject to constant change. Moreover, with the advent of the Internet-of-Things (IoT), network nodes tend not only to show increased mobility, but also impose further restrictions to these mobile network systems. These restrictions include non-functional requirements of low-power consumption, small-size, and low-cost. ADHOP (Ant-based Dynamic Hop Optimization Protocol) is a routing algorithm based on ant-colony optimizations that target such small-size and low-cost platforms, consuming little amounts of memory and processing power. This paper elaborates on ADHOP to investigate the use of energy-related heuristics to guide routing decisions. The goal is to minimize network usage without jeopardizing network operation. We replace the original ADHOP heuristic of network latency by two energy-related heuristics based on the battery charge and the estimated node lifetime. Simulations compare the energy-aware versions of ADHOP to its original version, to AODV and to AOER. Results show that the proposed approaches are able to balance network load among nodes, resulting in a lower number of failures due to battery depletion. The energy-aware versions of ADHOP also deliver more packets than their counter-parts in the simulated scenario, delivering 2x more packets than the original ADHOP, and, respectively, 5x and 9x more packets than AOER and AODV.
Conserved Secondary Structures in Viral mRNAs

RNA secondary structure in untranslated and protein coding regions has been shown to play an important role in regulatory processes and the viral replication cycle. While structures in non-coding regions have been investigated extensively, a thorough overview of the structural repertoire of protein coding mRNAs, especially for viruses, is lacking. Secondary structure prediction of large molecules, such as long mRNAs remains a challenging task, as the contingent of structures a sequence can theoretically fold into grows exponentially with sequence length. We applied a structure prediction pipeline to Viral Orthologous Groups that first identifies the local boundaries of potentially structured regions and subsequently predicts their functional importance. Using this procedure, the orthologous groups were split into structurally homogenous subgroups, which we call subVOGs. This is the first compilation of potentially functional conserved RNA structures in viral coding regions, covering the complete RefSeq viral database. We were able to recover structural elements from previous studies and discovered a variety of novel structured regions. The subVOGs are available through our web resource RNASIV (RNA structure in viruses).
Prevention of Colitis-Associated Colorectal Cancer with 8-Hydroxydeoxyguanosine

Colitis-associated cancer (CAC) is one of clear examples of inflammation–carcinogenesis sequence, by which the strict control of colitis with potent anti-inflammatory or antioxidative agent offers the chance of cancer prevention. Supported with the facts that Rac1 binds and activates STAT3, which are significantly upregulated in inflammatory bowel disease (IBD) as well as CAC, but 8-hydroxydeoxyguanosine (8-oxo-7,8-dihydrodeoxyguanosine or 8-OHdG) paradoxically can block Rac1 activation and subsequent NADPH oxidase (NOX) inactivation in various inflammation models, we hypothesized that attenuated Rac1–STAT3 and COX–NF-κB pathway by exogenous 8-OHdG administration may ameliorate inflammatory signaling in dextran sodium sulfate (DSS)-induced colitis and can prevent CAC. Before commencing carcinogenesis model, we checked whether exogenous 8-OHdG can alleviate IBD, for which interleukin (IL)-10 knockout mice were designed to ingest 5% DSS for 1 week, and 8-OHdG is given through intraperitoneal route daily. 8-OHdG treatment groups significantly reduced pathologic grade of DSS-induced colitis as well as various inflammatory mediators such as TNF-α, IL-6, COX-2, and iNOS in a dose-dependent manner. To document the cancer prevention effects of 8-OHdG, mice were injected azoxymethane followed by drinking 2.5% DSS for 1 week, after which 8-OHdG–containing diets were given for 20 weeks. As results, mice that consumed 8-OHdG–containing diet significantly reduced both tumor incidence and multiplicity. Rac1 activity and phosphorylated STAT3 level were significantly attenuated in the 8-OHdG–treated group. Significantly decreased levels of malondialdehyde, monocyte chemotactic protein-1, matrix metalloproteinasess, COX-2, NOX4, and β-catenin nuclear accumulation were responsible for cancer prevention effects of exogenous 8-OHdG. In conclusion, we clearly showed cancer-preventive effect of exogenous 8-OHdG against CAC. Cancer Prev Res; 4(9); 1507–21. ©2011 AACR.
Personalizing atypical web search sessions

Most research in Web search personalization models users as static or slowly evolving entities with a given set of preferences defined by their past behavior. However, recent publications as well as empirical evidence suggest that for a significant number of search sessions, users diverge from their regular search profiles in order to satisfy atypical, limited-duration information needs. In this work, we conduct a large-scale inspection of real-life search sessions to further understand this scenario. Subsequently, we design an automatic means of detecting and supporting such atypical sessions. We demonstrate significant improvements over state-of-the-art Web search personalization techniques by accounting for the typicality of search sessions. The proposed method is evaluated based on Web-scale search session data spanning several months of user activity.
Relaxation and fluctuations of membrane currents that flow through drug-operated channels

The theoretical background is presented for (a) the relaxation towards equilibrium of drug-induced membrane currents, and (b) the fluctuations of membrane current about its equilibrium value that originate in the opening and closing of membrane ion channels. General expressions are given that relate the relaxation current, autocovariance function, spectral density function, fluctuation variance and mean open channel lifetime to the rate constants and single channel conductances for any theory of drug action based on the law of mass action. The question of how much can be validly inferred from experimental spectra that appear to have only one component is discussed. The equations are illustrated by their application to some simple theories of drug action that are currently under consideration.
Online, VR, AR, Lab, and In-Situ: Comparison of Research Methods to Evaluate Smart Artifacts

Empirical studies are a cornerstone of HCI research. Technical progress constantly enables new study methods. Online surveys, for example, make it possible to collect feedback from remote users. Progress in augmented and virtual reality enables to collect feedback with early designs. In-situ studies enable researchers to gather feedback in natural environments. While these methods have unique advantages and disadvantages, it is unclear if and how using a specific method affects the results. Therefore, we conducted a study with 60 participants comparing five different methods (online, virtual reality, augmented reality, lab setup, and in-situ) to evaluate early prototypes of smart artifacts. We asked participants to assess four different smart artifacts using standardized questionnaires. We show that the method significantly affects the study result and discuss implications for HCI research. Finally, we highlight further directions to overcome the effect of the used methods.
Finite descent obstructions and rational points on curves

Let k be a number field and X a smooth projective k-variety. In this paper, we study the information obtainable from descent via torsors under finite k-group schemes on the location of the k-rational points on X within the adelic points. Our main result is that if a curve C/k maps nontrivially into an abelian variety A/k such that A(k) is finite and X(k, A) has no nontrivial divisible elements, then the information coming from finite abelian descent cuts out precisely the rational points of C. We conjecture that this is the case for all curves of genus ≥ 2. We relate finite descent obstructions to the Brauer-Manin obstruction; in particular, we prove that on curves, the Brauer set equals the set cut out by finite abelian descent. Our conjecture therefore implies that the Brauer-Manin obstruction against rational points in the only one on curves.
RAPID TeV GAMMA-RAY FLARING OF BL LACERTAE

We report on the detection of a very rapid TeV gamma-ray flare from BL Lacertae on 2011 June 28 with the Very Energetic Radiation Imaging Telescope Array System (VERITAS). The flaring activity was observed during a 34.6 minute exposure, when the integral flux above 200 GeV reached (3.4 ± 0.6) × 10−6 photons m−2 s−1, roughly 125% of the Crab Nebula flux measured by VERITAS. The light curve indicates that the observations missed the rising phase of the flare but covered a significant portion of the decaying phase. The exponential decay time was determined to be 13 ± 4 minutes, making it one of the most rapid gamma-ray flares seen from a TeV blazar. The gamma-ray spectrum of BL Lacertae during the flare was soft, with a photon index of 3.6 ± 0.4, which is in agreement with the measurement made previously by MAGIC in a lower flaring state. Contemporaneous radio observations of the source with the Very Long Baseline Array revealed the emergence of a new, superluminal component from the core around the time of the TeV gamma-ray flare, accompanied by changes in the optical polarization angle. Changes in flux also appear to have occurred at optical, UV, and GeV gamma-ray wavelengths at the time of the flare, although they are difficult to quantify precisely due to sparse coverage. A strong flare was seen at radio wavelengths roughly four months later, which might be related to the gamma-ray flaring activities. We discuss the implications of these multiwavelength results.
GFDL's CM2 Global Coupled Climate Models. Part I: Formulation and Simulation Characteristics

Abstract The formulation and simulation characteristics of two new global coupled climate models developed at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) are described. The models were designed to simulate atmospheric and oceanic climate and variability from the diurnal time scale through multicentury climate change, given our computational constraints. In particular, an important goal was to use the same model for both experimental seasonal to interannual forecasting and the study of multicentury global climate change, and this goal has been achieved. Two versions of the coupled model are described, called CM2.0 and CM2.1. The versions differ primarily in the dynamical core used in the atmospheric component, along with the cloud tuning and some details of the land and ocean components. For both coupled models, the resolution of the land and atmospheric components is 2° latitude × 2.5° longitude; the atmospheric model has 24 vertical levels. The ocean resolution is 1° in latitude and longitude, wi.
Quadrature Vestigial Sideband (QVSB) Data Transmission

The combined use of quadrature modulation and vestigial sideband filtering is investigated as a means of obtaining a spectrally efficient modulation scheme. The name quadrature vestigial sideband (QVSB) aptly describes the new system, whereby two independent data streams are each VSB modulated into the same passband, but on quadrature related carriers. The inherent interference between the quadrature related channels is shown to be of a controlled form, similar to the intersymbol interference (ISI) in partial response (PR) systems. Techniques suitable for "unwinding" the ISI in PR systems are shown to be also applicable to QVSB. Precoding with bit-by-bit, decoding, nonoptimum and optimum probablistic decoding are investigated. The latter method results in only a 1.2 dB E_{b}/N_{0} degradation, at P_{b} = 10^{-5} , compared to coherent binary phase shift keying (BPSK), although up to a fourfold increase in spectral efficiency can be obtained.
Cyclic Tensile Strain Induces Tenogenic Differentiation of Tendon-Derived Stem Cells in Bioreactor Culture

Different loading regimens of cyclic tensile strain impose different effects on cell proliferation and tenogenic differentiation of TDSCs in three-dimensional (3D) culture in vitro, which has been little reported in previous literatures. In this study we assessed the efficacy of TDSCs in a poly(L-lactide-co-ε-caprolactone)/collagen (P(LLA-CL)/Col) scaffold under mechanical stimulation in the custom-designed 3D tensile bioreactor, which revealed that cyclic tensile strain with different frequencies (0.3 Hz, 0.5 Hz, and 1.0 Hz) and amplitudes (2%, 4%, and 8%) had no influence on TDSC viability, while it had different effects on the proliferation and the expression of type I collagen, tenascin-C, tenomodulin, and scleraxis of TDSCs, which was most obvious at 0.5 Hz frequency with the same amplitude and at 4% amplitude with the same frequency. Moreover, signaling pathway from microarray analysis revealed that reduced extracellular matrix (ECM) receptor interaction signaling initiated the tendon genius switch. Cyclic tensile strain highly upregulated genes encoding regulators of NPM1 and COPS5 transcriptional activities as well as MYC related transcriptional factors, which contributed to cell proliferation and differentiation. In particular, the transcriptome analysis provided certain new insights on the molecular and signaling networks for TDSCs loaded in these conditions.
Functional Sites in the Laminin Alpha Chains

Laminins, heterotrimers composed of α, β, and γ chains, are multifunctional glycoproteins present in basement membranes. Laminins, the most important component of basement membranes during basement membrane assembly in early development, are involved in various biological activities such as cell adhesion, migration, growth, differentiation, tumor metastasis, and angiogenesis. Fully 15 laminin isoforms have been identified and are tissue- and/or developmental stage-specifically expressed. Integrins, dystroglycan, syndecans, and the other several cell surface molecules are cellular receptors for laminins. The globular domains located in the N- and C-terminus of the laminin alpha chains are critical for interactions with the cellular receptors. There are highly conserved functional sites and chain-specific functional sites among the laminin α chains. Additionally, laminins are processed by specific endogenous proteases and the processing regulates laminin functions. Binding of the functional sequences in laminins to the cellular receptors triggers intracellular signaling, followed by inducing various cell activities including cell spreading and migration. Laminins possess multifunctional sequences and are key molecules that determine cell fate.
Medical ultrasound imaging using the fully adaptive beamformer

Medical ultrasound beamforming is conventionally done using a classical delay-and-sum operation. This simplest beamforming suffers from drawbacks. Indeed, in phased array imaging, the beamformed radiofrequency signal is often polluted with off-axis energies. We investigate the use of an adaptive beamforming approach widely used in array processing, the fully adaptive beamformer, to reduce the bright off-axis energies contribution. We show that the fully adaptive beamformer cannot be applied to medical ultrasound as it was initially derived since the medical ultrasonic medium produces coherent or highly correlated signals and the algorithm fails to work within this context. Spatial smoothing preprocessing is introduced which allows the fully adaptive beamformer to operate. A complementary preprocessing that uses the received data obtained using consecutive transmission lines further improve the performances. Very promising results for the application of adaptive array processing techniques in medical ultrasound are obtained.
Improving Literature Searches

Research is a core competency for all clinical nurse specialists (CNSs). While engaged in clinical practice, questions arise related to best practices, patient outcomes, and effectiveness of therapeutic interventions. Identifying a clinical problem or a clinical outcome that needs improvement is the impetus for conducting a literature search. The initial step to answer a clinical question is conducting a literature review that supports the need for research and/or an evidence-based practice change. The abilities to find and critique the quality of research to improve patient outcomes are skills that take time to develop. At first, the literature search can seem to be a daunting task. In this article, the process will be discussed in manageable steps to guide the CNS through a literature search. Another consideration for CNSs is examining the literature to discover what research has already been completed and to identify the knowledge gaps in the literature that support the need for future research. This article will also discuss how the CNS conducts a literature search to find relevant articles that help understand what nursing researchers have reported in relation to a specific clinical problem or a clinical outcome.
K-ranked covariance based missing values estimation for microarray data classification

Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K-ranked diagonal covariance-based missing value estimation algorithm (KRCOV) that has demonstrated significantly superior performance compared to the more commonly used K-nearest neighbour (KNN) imputation algorithm when it is applied to estimate missing values of BRCA1, BRCA2 and sporadic genetic mutation samples present in ovarian cancer. Experimental results confirm KRCOV outperformed both KNN and zero imputation techniques in terms of their classification accuracies when used to impute randomly missing values from 1% to 5%. The classifier used for this purpose was the generalized regression neural network. The paper also provides a hypothesis for why KRCOV performs better than KNN not only for bio informatics data but also for other data types having strong correlated values.
Ieee Transactions on Pattern Analysis an Machine Intelligence Structured Learning of Human Interactions in Tv Shows

—The objective of this work is recognition and spatio-temporal localization of two-person interactions in video. Our approach is person-centric. As a first stage we track all upper bodies and heads in a video using a tracking-by-detection approach that combines detections with KLT tracking and clique partitioning, together with occlusion detection to yield robust person tracks. We develop local descriptors of activity based on the head orientation (estimated using a set of pose-specific classifiers) and the local spatio-temporal region around them, together with global descriptors that encode the relative positions of people as a function of interaction type. Learning and inference on the model uses a structured output SVM which combines the local and global descriptors in a principled manner. Inference using the model yields information about which pairs of people are interacting, their interaction class, and their head orientation (which is also treated as a variable, enabling mistakes in the classifier to be corrected using global context). We show that inference can be carried out with polynomial complexity in the number of people, and describe an efficient algorithm for this. The method is evaluated on a new data-set comprising 300 video clips acquired from 23 different TV shows and on the benchmark UT-Interaction Dataset.
Markerless 3D gesture-based interaction for handheld Augmented Reality interfaces

Conventional 2D touch-based interaction methods for handheld Augmented Reality (AR) cannot provide intuitive 3D interaction due to a lack of natural gesture input with real-time depth information. The goal of this research is to develop a natural interaction technique for manipulating virtual objects in 3D space on handheld AR devices. We present a novel method that is based on identifying the positions and movements of the user's fingertips, and mapping these gestures onto corresponding manipulations of the virtual objects in the AR scene. We conducted a user study to evaluate this method by comparing it with a common touch-based interface under different AR scenarios. The results indicate that although our method takes longer time, it is more natural and enjoyable to use.
An evaluation of humane gas stunning methods for turkeys

Spontaneous electroencephalograms (EEG) and somatosensory evoked potentials (SEPS) were recorded in turkeys while they were kept in an atmosphere of either 49 or 86 per cent carbon dioxide in air. The time to the loss of SEPS was not related to the concentration of carbon dioxide, but the time to the onset of an isoelectric EEG was shorter at the higher concentration of carbon dioxide. In comparison with other gas stunning methods it was considered that stunning with these high concentrations of carbon dioxide would not have any welfare advantages over stunning in argon with 2 per cent residual oxygen or in a mixture of 30 per cent carbon dioxide and 60 per cent argon in air.