Miracle-dz/UniFAR-FTUs huggingface dataset:
Historical interdrainage dispersal of eastern rainbowfish from the Atherton Tableland, north-eastern Australia

The widespread distribution of the eastern rainbowfish Melanotaenia splendida splendida throughout the isolated headwaters of the rivers on the Atherton Tableland, north-eastern Australia, suggests multiple colonization events from the eastern lowlands via each respective river channel, or a single colonization event on to the tableland with subsequent dispersal between the headwaters. To explore the likely processes that resulted in the current distribution on the tableland, two models of gene flow were tested: (a) the hierarchical gene flow model that tests the hypothesis for contemporary gene flow via stream channels and (b) the stepping stone model that tests for dispersal between streams. Neither of these models explained the observed genetic structure, adequately. However, there is support for extensive historical dispersal across the headwaters of the isolated drainages. If this dispersal followed a single colonization event, the subsequent range expansion could have facilitated a rapid rise in population size due to an increase in suitable habitat. The genetic data indicates an eight-fold increase in population size c. 100 thousand years ago. 2001 The Fisheries Society of the British Isles
Measure the Heart Rate and Respiration Rate Under Nervous Situation

Clinical, physiological parameters are one of the most important fields in healthcare innovation. Many mobile applications ad devices are designed and programmed for this purpose. Each device or software is covering a part of monitoring or it designed for a specific purpose like monitoring cardiovascular while doing cardio training. In this research, we study the effect of being under nervous situation on the heart rate and respiration rate using PPG signal to come out with a possible solution for monitoring these parameters under such conditions. The results show that heart rate is highly affected when the subject is under nervous situation where the respiration rate is not highly affected.
Economic competition is like auto racing

Even though our language is pervaded by metaphor, we do not necessarily think metaphorically. Knowing whether people make conceptual connections between a source and a target domain, and if so under which conditions, is of theoretical as well as practical interest, for example in text design. This paper experimentally investigates under which conditions people build their textual representations of a news article on a metaphorical schema. To disentangle the inconclusive output of recent reaction-time studies, we conduct a memory study. We probe the effect of signaling and conventionality on textual representations — two variables which have been ignored or conflated in previous studies. We find that people are more likely to metaphorically structure their representations of a news article to the extent that it contains novel metaphorical expressions. The inclusion of similes that explicitly signal extended mappings between source and target domains may also act as an aid to integration, although our evidence for this is more equivocal. These findings are discussed in relation to the career of metaphor theory and to the role of deliberateness in metaphor processing.
Non-Contact Thickness Measurements with Terahertz

Via time-of thickness of polymeric materials or paint layers, e ven in reflection-mode measurements, terahertz pulses strike the obje ct under test, each layer interface reflects a part of the incident pul se, and the time elapsed between the arrivals of pulse “echoes” from either side is dire ctly prop thickness of that layer. We present two different time contact thickness measurements. Both systems employ industry laser technology and photoconductive antennas made of laser pulses into terahertz radiation with an indus try than 50 μW. The first design employs a voice terahertz pulses. The system achieves a measurement speed or thickness values per second. Owing to the high prec ision of the delay stage, successive pulse traces can be averaged in order to reduce the noise level. This results in an excellent dynamic range and an ultrab road bandwidth of 6 enables thickness measurements of layers down to 20 μm with an accuracy on the order of 1 μm. The second setup is optimized with respect to measu r ment speed. The mechanical delay is eliminated completely and repla ced ECOPS (Electronically Controlled Optical Sampling). To th a end, two (rather than one) femtosecond lasers are employed and the pulse train of the “slave” laser is phaselocked to that of the “master” laser. The repetitio n rate of the “slave” is however varied s lightly with respect to that of the “master”, creat ing the time delay required for signal readout. The ECOPS system achie ves measurement rates up to 10 kHz and therefore lends itself to “ultrafast” inspe ction tasks, e.g. to monitoring of samples on fast co nveyor belts, in particular if a parameter mapping with high spatial resolution (“ 100%
Study of anemia in geriatric population: a hospital based study in Marathwada region, Maharashtra, India

Background: In geriatric population, anemia is not only the common problem, but it may present as severe complications in this group compared with anemia in younger group. According to WHO criteria, level of hemoglobin less than 13 gm% in case of males and less than 12 gm% in females are considered as anemia . The main objective of the study was to study the various pattern of anemia in the geriatric population. Methods: The study was carried out at JIIU’s IIMSR Medical College and Noor Hospital, Badnapur, Jalna, Maharashtra, India from January 2014 to June 2015. Total number of patients taken for the study are 550 (>60 years) who attending geriatric and clinical OPD at Noor Hospital, Badnapur. Detailed haematological examination was carried out in each patient. Results: Out of 550 cases, 369 (67.09%) patients were found to be anemic. Proportions of anemia in males was 64.74% and in females 70.58%. On peripheral smear examination normocytic being the commonest and constituting 78.86%. Conclusions: Diagnosis of anemia in geriatric age group, and further to know its pattern, which thus helps in etiological diagnosis of anemia which ultimately helps in the treatment.
Online Structured Learning for Semantic Parsing with Synchronous and lambda-Synchronous Context Free Grammars

We formulate semantic parsing as a parsing problem on a synchronous context free grammar (SCFG) which is automatically built on the corpus of natural language sentences and the representation of semantic outputs. We then present an online learning framework for estimating the synchronous SCFG grammar. In addition, our online learning methods for semantic parsing problems are also extended to deal with the case, in which the semantic representation could be represented under lambda-calculus. Experimental results in the domain of semantic parsing show advantages in comparison with previous works.
OTT_A_210575 7527..7536

*These authors contributed equally to this work Background: PLK1, a typical PLK protein, is the main driver of cancer cell growth and proliferation. It is an inhibitor of the protein kinases that is currently being investigated in clinical studies. It is often used as a tumor marker, as high PLK1 expression correlates with poor prognosis in cancer. Overexpression of MYC is a hallmark of many human cancers. MYC modulates the transcription of thousands of genes that required to coordinate a series of cellular processes, including those essential for growth, proliferation, differentiation, selfrenewal and apoptosis. To date, functions of PLK1 and MYC on tumor are mostly studied in separate researches, and studies on their mutual crosstalk are lacking. Purpose: To investigate the mechanism of PLK1 and MYC in regulating progress of osteosarcoma. Methods: Protein level was examined using Western blot. Animal experiments were performed with female FOX CHASE severe combined immunodeficient mice. Mice were randomly divided into experimental or control groups. Results: PLK1 or MYC promoted the proliferation of osteosarcoma cells through the autophagy pathway. PLK1 contributed to MYC protein stabilization. PLK1 inhibition enhanced MYC degradation in osteosarcoma cells. PLK1 inhibition led to a marked decline in MYC protein abundance. The representative MYC target genes were deregulated by PLK1 inhibitors. BI2536 treatment caused a significant delay in xenograft tumor growth in mice injected with U-2 OS cells subcutaneously, with lower mean tumor weight compared to the control group. Conclusion: PLK1 is crucial for MYC stabilization. It promotes cell proliferation by autophagy pathway in osteosarcoma cells. Data validate PLK1 as a potential therapeutic target in osteosarcoma caused by MYC-amplified.
Supporting Information for: “Aromatic stacking – a key step in nucleation”†

In this supporting information, we provide details about experimental and molecular modelling procedures used to obtain the insights detailed in the main part of this contribution. Furthermore, we provide solubility data, nucleation rate data, as well as parameter values for classical nucleation theory rate expressions. We detail a host of additional correlations, some successful, some not, that we have tried before arriving at the correlations detailed in the main text. Finally, we provide a comprehensive notation table. †Authors listed in alphabetical order. Details about author contributions are given in Section F. 1 Electronic Supplementary Material (ESI) for ChemComm. This journal is © The Royal Society of Chemistry 2017
A Hybrid Approach Based on Variational Mode Decomposition for Analyzing and Predicting Urban Travel Speed

Predicting travel speeds on urban road networks is a challenging subject due to its uncertainty stemming from travel demand, geometric condition, traffic signals, and other exogenous factors. This uncertainty appears as nonlinearity, nonstationarity, and volatility in traffic data, and it also creates a spatiotemporal heterogeneity of link travel speed by interacting with neighbor links. In this study, we propose a hybrid model using variational mode decomposition (VMD) to investigate and mitigate the uncertainty of urban travel speeds. The VMD allows the travel speed data to be divided into orthogonal and oscillatory sub-signals, called modes. The regular components are extracted as the low-frequency modes, and the irregular components presenting uncertainty are transformed into a combination of modes, which is more predictable than the original uncertainty. For the prediction, the VMD decomposes the travel speed data into modes, and these modes are predicted and summed to represent the predicted travel speed. The evaluation results on urban road networks show that, the proposed hybrid model outperforms the benchmark models both in the congested and in the overall conditions. The improvement in performance increases significantly over specific link-days, which generally are hard to predict. To explain the significant variance of the prediction performance according to each link and each day, the correlation analysis between the properties of modes and the performance of the model are conducted. The results on correlation analysis show that the more variance of nondaily pattern is explained through the modes, the easier it was to predict the speed. Based on the results, discussions on the interpretation on the correlation analysis and future research are presented.
ARIMA model selection in Matlab

This paper aims to discuss and suggest an approach to analyzing and modelling of economic time series. Econometric theory deals with the problem of right models. As time series analysis methodology is selected the Box-Jenkins methodology representing the stochastic approach. Aim of this paper is to propose an interactive application to enable user not only automated selection of time series model but also to inform the user about everything important that has been done in process of automated selection. This paper deals with Matlab as one of not very typical tool for construction of time series models. Matlab was selected to show and emphasize the power of such tool commonly used at technical universities. The tool gives to user a wide range of possibilities to assess the model. We suggest an application which enables automated model selection and works in two modes, for basic and advanced user. Aim of two user groups is not to discriminate the beginners and not to bore the advanced users. The automated model selection is planned to be divided into two phases. The first phase includes model identification and the second is based on model verification.
NDT_A_230904 3541..3548

Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, People’s Republic of China; Florida a &MUniversity, Department of Psychology, Tallahassee, FL 32307, USA; Institute of Mental Health, The Affiliated Guangji Hospital of Soochow University, Soochow University, Suzhou 215137, Jiangsu, People’s Republic of China; Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai, People’s Republic of China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, People’s Republic of China Background: The clinical high-risk (CHR) state is identified as a critical period for early
Searches for new phenomena in final states involving leptons and jets using the ATLAS detector

Many theories beyond the Standard Model predict new particles which decay to final states containing both leptons and jets. Searches for these kinds of signatures, predicted by new physics models, are performed using the ATLAS experiment at the LHC. The results of recent searches using 13 TeV proton-proton collision data are presented.
CLEP_A_206949 543..561

Nigel Armstrong 1 Steve Ryder 1 Carol Forbes 2 Janine Ross 3 Ruben GW Quek 4 1Health Economics, Kleijnen Systematic Reviews Ltd., York YO19 6FD, UK; 2Systematic Reviews, Kleijnen Systematic Reviews Ltd., York YO19 6FD, UK; 3Information, Kleijnen Systematic Reviews Ltd., York YO19 6FD, UK; 4Health Economics & Outcomes Research, Pfizer Inc., San Francisco, CA 94105, USA Abstract: A systematic review was conducted, summarizing international BRCA 1 or 2 (BRCA1/2) mutation prevalence in breast cancer. Databases (eg, Medline and Embase; N=7) and conferences were searched (January 2012 to December 2017). From 17,872 records, 70 studies were included. In 58 large (N>100) studies, BRCA1/2 mutation prevalence varied widely from 1.8% (Spain) in sporadic breast cancer to 36.9% (United States) in estrogen receptor/progesterone receptor low+ (1–9% on immunohistochemistry/human epidermal growth factor receptor 2–negative [HER2-]) breast cancer. In 2 large studies unselected for family history, ethnicity, sex, or age and no/unclear selection by breast cancer stage or hormone receptor (HR) status, germline BRCA (gBRCA) mutation prevalence was 2.9% (Italy) to 3.0% (South Korea). In the 4 large unselected triple-negative breast cancer studies, gBRCA mutation prevalence varied from 9.3% (Australia) to 15.4% (United States). gBRCA mutation prevalence in 1 large unselected HR positive/HER2early breast cancer study was 5% (United States). In 2 large unselected metastatic breast cancer studies, gBRCA mutation prevalence was 2.7% (France) and 4.3% (Germany). Locally advanced breast cancer studies were small and not in unselected populations. Poor reporting of gBRCA status and basis of selection implies a need for further large well-reported BRCA mutation prevalence studies in breast cancer.
Glucosamine Sodium Sulfate Can Penetrate Skin and May Affect Glucose Metabolism in Rats

Objectives: To investigate whether glucosamine sodium sulfate (GlcNs) can penetrate the skin and the effects of this dietary supplement on glucose metabolism in rats. Methods: GlcNs was radiolabeled with 14C to test its ability to pass through skin. GlcNs was also orally administered to rats at different doses. Changes in body weight and blood glucose levels were subsequently measured. In addition, levels of key enzymes related to glucose metabolism (SLC2A2 (solute carrier family 2, member 2), SLC2A4 (member 4), HK1 (hexokinase 1), NOS2 (nitric oxide synthase 2), and PRKCA (protein kinase C, alpha) were analyzed in liver and kidney tissues via immunohistochemistry. Results: Radio labeled GlcNs effectively penetrated rat skin. Rats given a daily dose of 250 mg/kg GlcNs exhibited significantly lower levels of blood glucose (p<0.05) than controls. For the 125-mg/kg group, levels of PRKCA and HK1 in kidney were significantly lower (p<0.05) than controls. Conclusions: GlcNs can be administered through the skin. Oral administration of GlcNs does not affect body weight, but may influence glucose metabolism in rats. These findings are important for research concerning diabetes and its complications in patients with arthritis.
Implementation of a conservative cut-cell method for the simulation of two-phase cavitating flows

A cut-cell method utilizing 2D cartesian meshes with embedded boundaries is employed to simulate steady-state, turbulent and cavitating flows over isolated hydrofoils. The multi-phase Reynolds-Averaged Navier-Stokes equations for a homogeneous mixture are extended with an additional transport equation accounting for the liquid volume fraction and the Kunz cavitation model. The mean-flow equations are appropriately preconditioned to render the system hyperbolic in space and time and to alleviate numerical stiffness due to the low speed of sound of the mixture. The standard k − ε turbulence model is implemented. A one-layer submesh is generated to solve Spalding’s composite wall function on the embedded boundaries. Mesh generation employs a hierarchical quadtree-based data structure resulting in a fast and memoryefficient process. Cut-cells are constructed by intersecting the discretized geometry with the Cartesian mesh, creating thus faces where boundary conditions are imposed. The capabilities of the cut-cell solver are demonstrated over two hydrofoils featuring mid-chord and leadingedge cavitation. Results show satisfactory agreement with numerical and experimental data.
A NEW ENVIRONMENTALLY ADAPTIVE CLASSIFICATION ALGORITHM FOR UNDERWATER MINES IN SAS IMAGERY

A new classification framework is developed to explicitly account for environmental dependence in the underwater mine classification problem. Information describing the local environment of each object is quantified in the form of a novel feature characterizing the seabed; this auxiliary feature is then used in the classifier construction stage to automatically adjust the relative contribution of each training data point to the learning process. Multiple classifiers are constructed, with each classifier associated with a particular range of environmental feature values. The class prediction for a new unlabeled data point is a weighted average of the classifiers’ outputs, with the relative weightings determined by environmental similarity. An extension to handle the case in which the environment is characterized by multiple features is also provided. Importantly, all algorithm parameters are learned automatically from the data itself, with no specialized tuning required. Experimental results on an underwater mine classification task using a large database of synthetic aperture sonar (SAS) imagery collected at sea demonstrate the promise of the proposed approach.
Detection of vehicles moving in wrong direction

In this paper we describe a method for detecting situations where a vehicle moves along a highway in the wrong direction. The first step of the algorithm is to build a pattern using Gaussian mixture model based on the optical flow calculated with the Lucas-Kanade method. The second stage concerns the detection of objects as a potential road hazard. The optical flow calculated on-line during the second stage is compared with the traffic pattern used in the first stage. Then the difference in movement direction is detected using predefined thresholds.
The detectability of conventional, hybrid and electric vehicle sounds by sighted, visually impaired and blind pedestrians

The timely detection of the vehicles by pedestrians is a prerequisite for road safety. In this study, the traffic condition in which a vehicle approaching to the pedestrian from 50 meter distance with partial load acceleration was investigated. The binaurally recorded sounds of 14 internal combustion engine cars, 4 hybrid cars, and 6 electric cars were presented to the visually impaired, blind and sighted participants. The criteria for the vehicle sound selection was to include broad spectral range with different temporal characteristics. The reaction times of 37 subjects were measured. In the reaction time experiment, the subjects were asked to imagine that they are standing on the curb waiting to cross a one-way street when there may be vehicle approaching from the left. The results show that pedestrians detect the sound of electric vehicles (without sound generator) much later than the sound of vehicles with internal combustion engines and relatively few signal elements are used to detect the sound of internal combustion engine vehicles.
SEGMENT PATCHING OF THE HIGHER ORDER INTERFACE RECONSTRUCTION FOR THE VOLUME OF FLUID METHOD

Abstract. We derive a more rigorous mathematical formulation for the interface reconstruction problem in the framework of the volume of fluid method. This leads to an interpolatation problem which can be solved systematically by means of B-spline interpolation allowing a higher order description of the interface segments. These segments need to be patched. Three different methods to patch these segments are derived. Numerical verification shows that a higher order description of the interface can be obtained by the present method.