Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Power of Genome-Wide Association Studies with Weighted False Discovery Rate Control and Prioritized Subset Analysis

The issue of large-scale testing has caught much attention with the advent of high-throughput technologies. In genomic studies, researchers are often confronted with a large number of tests. To make simultaneous inference for the many tests, the false discovery rate (FDR) control provides a practical balance between the number of true positives and the number of false positives. However, when few hypotheses are truly non-null, controlling the FDR may not provide additional advantages over controlling the family-wise error rate (e.g., the Bonferroni correction). To facilitate discoveries from a study, weighting tests according to prior information is a promising strategy. A ‘weighted FDR control’ (WEI) and a ‘prioritized subset analysis’ (PSA) have caught much attention. In this work, we compare the two weighting schemes with systematic simulation studies and demonstrate their use with a genome-wide association study (GWAS) on type 1 diabetes provided by the Wellcome Trust Case Control Consortium. The PSA and the WEI both can increase power when the prior is informative. With accurate and precise prioritization, the PSA can especially create substantial power improvements over the commonly-used whole-genome single-step FDR adjustment (i.e., the traditional un-weighted FDR control). When the prior is uninformative (true disease susceptibility regions are not prioritized), the power loss of the PSA and the WEI is almost negligible. However, a caution is that the overall FDR of the PSA can be slightly inflated if the prioritization is not accurate and precise. Our study highlights the merits of using information from mounting genetic studies, and provides insights to choose an appropriate weighting scheme to FDR control on GWAS.
A study to evaluate the effectiveness of chilled cabbage leaves application for relief of breast engorgement in volunteered postnatal mothers who are admitted in maternity ward of selected hospital in belgaum

Breast engorgement is a condition that affects breastfeeding mothers early in the postpartum. The discomfort and tenderness as a result of the engorgement is a major contributing factor to the early cessation of breastfeeding. Many treatments for breast engorgement have been attempted and explored. Very few researches have been conducted to monitor the effect of cabbage leaves application on breast engorgement. A study on the effectiveness of chilled cabbage leaves can contribute to providing evidence for introducing the intervention in clinical practice thus, the researcher conducted this study. The objectives of the study were to assess the pain and severity of breast engorgement experienced by postnatal mothers before and after application of chilled cabbage leaves and to evaluate the effectiveness of chilled cabbage leaves application for relief of breast engorgement among postnatal mothers. The research approach used for the study was the evaluative approach. The study was conducted using a one group pre test post test pre experimental design. The independent variables of the study were cabbage leaves application for relief of breast engorgement and the dependent variables were the pain and severity. Wiedenbachs clinical nursing practice –A helping Art theory was used as a conceptual framework for this study. The study was conducted on 30 postnatal mothers having breast engorgement admitted in maternity wards of KLE Dr Prabhakar kore hospital Belguam using convenient sampling technique. Data was collected by using a breast engorgement pain and severity rating scale. The hypothesis for the study was Ho1: There is no significant difference between the mean pre treatment scores and mean post treatment scores of breast engorgement of postnatal mothers received cabbage leaves application at 0.05 level of significance. The data was tabulated and analyzed in terms of objectives of the study, using descriptive and inferential statistics. The major findings of the study on effectiveness of chilled cabbage leaves application for breast engorgement on reducing pain and severity of breast engorgement among postnatal mothers showed the mean pre test score of postnatal women with breast engorgement before application of chilled cabbage leaves (14.86) is more than the mean post test score (1.33) after application of cabbage leaves on postnatal mothers with breast engorgement. Wilcoxon signed rank test shows that there is a significant difference between pre and post treatment scores Z=4.792 P<0.001. Hence chilled cabbage leaves application is effective in reducing pain and severity of breast engorgement.
DRENCH: A semi-distributed resource management framework for NFV based service function chaining

As networks grow in scale and complexity, the use of Network Function Virtualization (NFV) and the ability to dynamically instantiate network function instances (NFls) allow us to scale out the network's capabilities in response to demand. At the same time, an increasing number of computing resources, deployed closer to users, as well as network equipment are now capable of performing general-purpose computation for NFV. However, NFV management in the presence of Service Function Chaining (SFC) for arbitrary topologies is a challenging task. In this work we argue for the necessity of an algorithmic resource managementframework that captures the involved tradeoffs of NFls minimum workload, load balancing, and flow path stretch. We introduce DRENCH as a low complexity NFV and flow steering management framework. In DRENCH an NFV market is considered where a centralised SDN controller acts as market orchestrator of NFV nodes. Through competition, NFV nodes make flow steering and NFl instantiation/consolidation decisions. DRENCH design enables third party NFV nodes participation while it can coexist with other NFV management solutions. DRENCH orchestrator parameterisation strikes the right balance between path stretch and NFl load balancing, resulting in significantly lower Flow Completion Times, up to 1Ox less, in some cases.
The effects of smartphone multitasking on gait and dynamic balance

[Purpose] This study was performed to analyze the influence of smartphone multitasking on gait and dynamic balance. [Subjects and Methods] The subjects were 19 male and 20 female university students. There were 4 types of gait tasks: General Gait (walking without a task), Task Gait 1 (walking while writing a message), Task Gait 2 (walking while writing a message and listening to music), Task Gait 3 (walking while writing a message and having a conversation). To exclude the learning effect, the order of tasks was randomized. The Zebris FDM-T treadmill system (Zebris Medical GmbH, Germany) was used to measure left and right step length and width, and a 10 m walking test (10MWT) was conducted for gait velocity. In addition, a Timed Up and Go test (TUG) was used to measure dynamic balance. All the tasks were performed 3 times, and the mean of the measured values was analyzed. [Results] There were no statistically significant differences in step length and width. There were statistically significant differences in the 10MWT and TUG tests. [Conclusion] Using a smartphone while walking decreases a person’s dynamic balance and walking ability. It is considered that accident rates are higher when using a smartphone.
A school-based intervention incorporating smartphone technology to improve health-related fitness among adolescents: rationale and study protocol for the NEAT and ATLAS 2.0 cluster randomised controlled trial and dissemination study

Introduction Physical inactivity has been described as a global pandemic. Interventions aimed at developing skills in lifelong physical activities may provide the foundation for an active lifestyle into adulthood. In general, school-based physical activity interventions targeting adolescents have produced modest results and few have been designed to be ‘scaled-up’ and disseminated. This study aims to: (1) assess the effectiveness of two physical activity promotion programmes (ie, NEAT and ATLAS) that have been modified for scalability; and (2) evaluate the dissemination of these programmes throughout government funded secondary schools. Methods and analysis The study will be conducted in two phases. In the first phase (cluster randomised controlled trial), 16 schools will be randomly allocated to the intervention or a usual care control condition. In the second phase, the Reach, Effectiveness, Adoption, Implementation and Maintenance (Re-AIM) framework will be used to guide the design and evaluation of programme dissemination throughout New South Wales (NSW), Australia. In both phases, teachers will be trained to deliver the NEAT and ATLAS programmes, which will include: (1) interactive student seminars; (2) structured physical activity programmes; (3) lunch-time fitness sessions; and (4) web-based smartphone apps. In the cluster RCT, study outcomes will be assessed at baseline, 6 months (primary end point) and 12-months. Muscular fitness will be the primary outcome and secondary outcomes will include: objectively measured body composition, cardiorespiratory fitness, flexibility, resistance training skill competency, physical activity, self-reported recreational screen-time, sleep, sugar-sweetened beverage and junk food snack consumption, self-esteem and well-being. Ethics and dissemination This study has received approval from the University of Newcastle (H-2014-0312) and the NSW Department of Education (SERAP: 2012121) human research ethics committees. This study is funded by the Australian Research Council (FT140100399) and the NSW Department of Education. Trial registration number ACTRN12615000360516; Pre-results.
Trajectory prediction of traffic agents at urban intersections through learned interactions

To navigate a complex urban environment, it is essential for autonomous vehicles to make educated assumptions and accurate predictions of the movement of other traffic agents. Beyond single object tracking, this task involves understanding behavior of other participants and predicting their trajectories. In this paper, we present a data-driven approach to learn the behavior of traffic agents at an intersection by observing several episodes of real-life scenarios captured through a static camera. We develop a feed-forward artificial neural network called the influence-network, which can simultaneously reason over the influence that agents and the environment have on each other. We compare it to an extension of popularly used Dynamic Bayesian Network. Based on data captured at a busy city intersection, we show that our model can predict trajectories of different classes of traffic agents with improved accuracy, and capture higher-level agent behavior.
A Reconfigurable Architecture for 1-D and 2-D Discrete Wavelet Transform

In this paper, we propose a novel architecture for DWT that can be reconfigured to be adapted to different kinds of filter banks and different sizes of inputs. High flexibility and generality are achieved by using the MAC loop based filter(MLBF). Classic methods, such as polyphase structure and fragment-based sample consumption, are used to enhance the parallelism of the system. The architecture can be reconfigured to 3 modes to deal with 1-D or 2-D DWT with different bandwidth and throughput requirements.
Performance Analysis of Multi-frequency GNSS Carrier Tracking for Strong Ionospheric Scintillation

In Global Navigation Satellite Systems (GNSS), ionospheric scintillation is one of the more challenging propagation scenarios, particularly affecting high-precision receivers based on carrier phase measurements. In this contribution, we propose a new digital carrier synchronization state-space formulation for the mitigation of strong scintillation. It takes into account multifrequency GNSS observations, allowing tracking of both line-ofsight phase variations and complex gain scintillation components, that is, scintillation amplitude and phase. The joint carrier tracking and scintillation mitigation problem is solved using a multi-frequency nonlinear Kalman filter-based solution. The performance improvement of the new approach is shown using realistic synthetic data, and compared to state-of-the-art PLL and KF-based architectures.
Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration

We propose marginal integration estimation and testing methods for the coefficients of varying-coefficient multivariate regression models. Asymptotic distribution theory is developed for the estimation method, which enjoys the same rate of convergence as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical results are derived under the fairly general conditions of absolute regularity (β-mixing). Application of the test procedure to West German real GNP (gross national product) data reveals that a partially linear varying coefficient model is best parsimonious in fitting the data dynamics, a fact that is also confirmed with residual diagnostics.
Genome-Wide Analysis in Brazilian Xavante Indians Reveals Low Degree of Admixture

Characterization of population genetic variation and structure can be used as tools for research in human genetics and population isolates are of great interest. The aim of the present study was to characterize the genetic structure of Xavante Indians and compare it with other populations. The Xavante, an indigenous population living in Brazilian Central Plateau, is one of the largest native groups in Brazil. A subset of 53 unrelated subjects was selected from the initial sample of 300 Xavante Indians. Using 86,197 markers, Xavante were compared with all populations of HapMap Phase III and HGDP-CEPH projects and with a Southeast Brazilian population sample to establish its population structure. Principal Components Analysis showed that the Xavante Indians are concentrated in the Amerindian axis near other populations of known Amerindian ancestry such as Karitiana, Pima, Surui and Maya and a low degree of genetic admixture was observed. This is consistent with the historical records of bottlenecks experience and cultural isolation. By calculating pair-wise Fst statistics we characterized the genetic differentiation between Xavante Indians and representative populations of the HapMap and from HGDP-CEPH project. We found that the genetic differentiation between Xavante Indians and populations of Ameridian, Asian, European, and African ancestry increased progressively. Our results indicate that the Xavante is a population that remained genetically isolated over the past decades and can offer advantages for genome-wide mapping studies of inherited disorders.
The Theoretical Evaluation of Localised Corrosion in Radioactive Waste Canisters.

Under repository conditions, it is likely that radioactive waste canisters will be subjected to both uniform and localised corrosion. Localised corrosion can take many forms depending on the precise physical and chemical environment of the metal at the time of attack, but generally the rates of penetration are much greater than those associated with uniform corrosion. The most likely forms under aerated repository conditions are pitting and crevice corrosion. To ensure adequate radionuclide containment an allowance for these rates must be included in the final canister dimensions. It is considered the best way to predict long term penetration rates is to develop mathematical models, which include all the physical and chemical processes necessary to describe the system and use experimentally determined input parameters relating to these processes. These models must then draw on further experimental data for validation over short timescales. In this paper, we discuss several techniques of modelling long term pit propagation in waste canisters. The complexity of the problem has lead to a number of physical and chemical approximations in the modelling. We investigate the applicability and ranges of validity of several of the more common approximations, both in our own models and in the literature, and compare the predictions with experimental pit growth rates. An investigatation of the sensitivity of the models to the various empirical input parameters indicates which need to be determined most accurately.
Small Ribosomal Protein RPS0 Stimulates Translation Initiation by Mediating 40S-Binding of eIF3 via Its Direct Contact with the eIF3a/TIF32 Subunit

The ribosome translates information encoded by mRNAs into proteins in all living cells. In eukaryotes, its small subunit together with a number of eukaryotic initiation factors (eIFs) is responsible for locating the mRNA's translational start to properly decode the genetic message that it carries. This multistep process requires timely and spatially coordinated placement of eIFs on the ribosomal surface. In our long-standing pursuit to map the 40S-binding site of one of the functionally most complex eIFs, yeast multisubunit eIF3, we identified several interactions that placed its major body to the head, beak and shoulder regions of the solvent-exposed side of the 40S subunit. Among them is the interaction between the N-terminal domain (NTD) of the a/TIF32 subunit of eIF3 and the small ribosomal protein RPS0A, residing near the mRNA exit channel. Previously, we demonstrated that the N-terminal truncation of 200 residues in tif32-Δ8 significantly reduced association of eIF3 and other eIFs with 40S ribosomes in vivo and severely impaired translation reinitiation that eIF3 ensures. Here we show that not the first but the next 200 residues of a/TIF32 specifically interact with RPS0A via its extreme C-terminal tail (CTT). Detailed analysis of the RPS0A conditional depletion mutant revealed a marked drop in the polysome to monosome ratio suggesting that the initiation rates of cells grown under non-permissive conditions were significantly impaired. Indeed, amounts of eIF3 and other eIFs associated with 40S subunits in the pre-initiation complexes in the RPS0A-depleted cells were found reduced; consistently, to the similar extent as in the tif32-Δ8 cells. Similar but less pronounced effects were also observed with the viable CTT-less mutant of RPS0A. Together we conclude that the interaction between the flexible RPS0A-CTT and the residues 200–400 of the a/TIF32-NTD significantly stimulates attachment of eIF3 and its associated eIFs to small ribosomal subunits in vivo.
Intraflagellar transport is deeply integrated in hedgehog signaling

The vertebrate hedgehog pathway is organized in primary cilia, and hedgehog components relocate into or out of cilia during signaling. Defects in intraflagellar transport (IFT) typically disrupt ciliary assembly and attenuate hedgehog signaling. Determining whether IFT drives the movement of hedgehog components is difficult due to the requirement of IFT for building cilia. Unlike most IFT proteins, IFT27 is dispensable for cilia formation but affects hedgehog signaling similarly to other IFTs, allowing us to examine its role in the dynamics of signaling. Activating signaling at points along the pathway in Ift27 mutant cells showed that IFT is extensively involved in the pathway. Similar analysis of Bbs mutant cells showed that BBS proteins participate at many levels of signaling but are not needed to concentrate Gli transcription factors at the ciliary tip. Our analysis showed that smoothened delivery to cilia does not require IFT27, but the role of other IFTs is not known. Using a rapamycin-induced dimerization system to sequester IFT-B proteins at the mitochondria in cells with fully formed cilia did not affect the delivery of Smo to cilia, suggesting that this membrane protein may not require IFT-B for delivery.
Attenuated Fast Steady-State Visual Evoked Potentials During Human Sleep

During sleep, external sensory events rarely elicit a behavioral response or affect perception. However, how sensory processing differs between wakefulness and sleep remains unclear. A major difficulty in this field stems from using brief auditory stimuli that often trigger nonspecific high-amplitude "K-complex" responses and complicate interpretation. To overcome this challenge, here we delivered periodic visual flicker stimulation across sleep and wakefulness while recording high-density electroencephalography (EEG) in humans. We found that onset responses can be separated from frequency-specific steady-state visual evoked potentials (SSVEPs) selectively observed over visual cortex. Sustained SSVEPs in response to fast (8/10 Hz) stimulation are substantially stronger in wakefulness than in both nonrapid eye movement (NREM) and REM sleep, whereas SSVEP responses to slow (3/5 Hz) stimulation are stronger in both NREM and REM sleep than in wakefulness. Despite wake-like spontaneous activity, responses in REM sleep were similar to those in NREM sleep and different than wakefulness, in accordance with perceptual disconnection during REM sleep. Finally, analysis of amplitude and phase in single trials revealed that stronger fast SSVEPs in wakefulness are driven by more consistent phase locking and increased induced power. These results suggest that the sleeping brain is unable to effectively synchronize large neuronal populations in response to rapid sensory stimulation.
SENTENCE CORRECTION FOR ENGLISH LANGUAGE USING GRAMMAR RULES AND SYNTAX PARSING

Sentence correction for English language using grammar rules is a part of natural language processing. Such implementations in computer field require syntax parsing and syntactical analysis of a sentence. Syntax parsing helps to identify structure of a sentence. English sentences contain structure. When a sentence is in its proper structure it provides meaning to that sentence. Syntax parsing deals with syntactic structure which helps to identify the structure of a sentence and it is the main objective. Identifying structure of a sentence is very useful to find out meaning of a sentence. Dealing with computer and human language requires data analysis and data processing which is carried out through lexical analysis, syntax analysis, semantic analysis, speech processing, logical analysis. Identification of a sentence is done through POS tagger which identifies the type of sentence whether it is a simple sentence, simple with adjective, complex, active, passive, facts, conjunctions, interrogative. It also arranges the sentence in its form if it is not in above eight types using grammar rule.