Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a low cost and novel Naive Bayes classifier based NodeMCU web server for fever type detection

This study presents a novel NodeMCU based web server to validate cost-effective and smart e-health diagnosis. Proposed work implements a novel Naive Bayes Classifier for automatic fever type detection as a proof of concept. The application is currently accessible on local network. Network users (patients) are first required to submit eight symptoms e.g. “fatigue”, “fever”, “chills”, “sore throat”, “cough”, “headache”, “muscle pain”, and “sneezing” on web portal in form of yes “y” or no “n”. Implied Naive Bayes Classifier engine predicts the probability of occurrence of fever either from flu or common cold as per symptoms provided earlier. The patients are simultaneously diagnosed by a medical practitioner from whom patient wise predictive percentage was received. The probabilistic values were then paired against flu and common cold typed fever patients independently. 22 patients were voluntarily gone through this experiment where p (0.089>0.05) and p (0.068>0.05) were not found to be statistically significant (i.e. no difference between proposed classifier and doctor’s diagnosis) for flu and common cold fever types, respectively.
Correlation of mutagenesis level with expression of reparative enzyme O6-methylguanine DNA methyltransferase during establishment of cell lines in vitro

Long-term cultivation of cell lines inevitably leads to genetic and epigenetic changes. Aim. A comparative analysis of karyotype and level of the expression of reparative enzyme O 6 -methylguanine-DNA-methyltransferase (MGMT) at different stages of establishment and stabilization of human cell line 4BL and cell line of mouse germ cells G1. Methods. The set of methods was used to research the dynamics of karyotypes changes: the differential staining of chromosomes, FISH-method and comparative genomic hybridization. The level of MGMT expression was analyzed by PCR reaction and Western blot analysis. Results. General trends of establishment of mouse and human cell lines were revealed: at the first stage, which is characterized by increased structural instability of the genome, an increase in the MGMT expression was revealed while at the second stage of stabilization – a decrease in the expression. Therefore, almost complete disappearance of MGMT protein in unmodified form (24 kDa) is observed. Conclusions. Statistically significant correlation between MGMT repair enzyme and mutations induction processes during mammalian cell adaptation and cell line establishment to in vitro was described.
HERITABILITY AND CORRELATION IN STEM AMARANTH ( Amaranthus tricolor )

Genetic variability, heritability and correlation analysis were done for yield and its component characters in twenty two (22) diverse genotypes of stem amaranth. The highest PCV (87.85%) and GCV (81.67%) were observed for primary branches per plant while the lowest PCV (10.28%) was found in plant height and the lowest GCV (7.51%) was found in leaf width. Heritability estimates in broad sense were higher for leaf weight per plant (91.10%) followed by leaves per plant (86.83%), primary branches per plant (86.42%), stem weight per plant (82.56%) and yield per hectare (78.70%). Leaf weight per plant, stem weight per plant and yield per hectare exhibited high value of heritability (91.10%, 82.56% and 78.70%) along with high genetic advance (49.38%, 134.12% and 56.00%), respectively. Leaves per plant, stem diameter, stem weight per plant, leaf weight per plant and plant height exhibited highly significant positive correlation with yield per hectare both at genotypic and phenotypic level. Selection based on these traits would give better response for the improvement in marketable yield in stem amaranth.
Comparing California Current cetacean-habitat models developed using in situ and remotely sensed sea surface temperature data

Generalized linear and generalized additive habitat models were used to predict cetacean densities for 10 species in an 818 000 km 2 area off California. The performance of models built with remotely sensed oceanic data was compared to that of models built with in situ measure- ments. Cetacean sighting data were collected by the Southwest Fisheries Science Center on 4 sys- tematic line-transect surveys during the summer and fall of 1991, 1993, 1996, and 2001. Predictor variables included temporally dynamic, remotely sensed environmental variables (sea surface temperature and measures of its variance) and more static geographical variables (water depth, bathymetric slope, and a categorical variable representing oceanic zone). The explanatory and predictive power of different spatial and temporal resolutions of satellite data were examined and included in the models for each of the 10 species. Alternative models were built using in situ analogs for sea surface temperature and its variance. The remotely sensed and in situ models with the high- est predictive ability were selected based on a pseudo-jackknife cross validation procedure. Environ- mental predictors included in the final models varied by species, but, for each species, overall explanatory power was similar between the remotely sensed and in situ models. Cetacean-habitat models developed using satellite data at 8 d temporal resolution and from 5 to 35 km spatial resolu- tion were shown to have predictive ability that generally met or exceeded models developed with analogous in situ data. This suggests that the former could be an effective tool for resource managers to develop near real-time predictions of cetacean density.
Social Motivation and Naïve Theories in Children with Autism Spectrum Disorder

Social motivation theory attempts to explain Autism Spectrum Disorder (ASD) symptomatology by suggesting that deficits in social motivation have downstream effects on children’s socio-cognitive abilities, such as theory of mind (ToM; Chevallier, Kohls, Troiani, Brodkin, & Schultz, 2012). This theory posits that children with ASD would show social motivation deficits, such as a lack of social preference, and would show deficits in ToM, such as failing an implicit false belief task. An objective to the present study was to examine the association between tasks measuring social motivation and ToM abilities in typically developing (TD) children and children with ASD. ToM is an example of naive psychology, a category of domain-specific core understandings. Another objective of this study was to extend work on the dissociation across naive theories by exploring children’s performance on naive psychology, as well as naive physics, and naive biology. A biological motion and a static face preference task were administered on a split screen to measure social motivation. An implicit false belief task was administered to measure ToM (naive psychology), a story sequencing task was used to measure naive physics, and an understanding of “insides” was assessed to measure naive biology. Tasks measuring social motivation were related to each other when assessed in TD children only. TD children but not children with ASD showed a social preference. Furthermore, children with ASD failed the implicit false belief task but not the naive physics or naive biology tasks. The present study replicates and extends previous findings, as well as strengthens the understanding of ASD symptomatology in the context of social motivation theory.
Response of streamflow to climate change in a sub-basin of the source region of the Yellow River based on a tank model

Abstract. Though extensive researches were conducted in the source region of the Yellow River (SRYR) to analyse climate change influence on streamflow, however, few researches concentrate on streamflow of the sub-basin above the Huangheyan station in the SRYR (HSRYR) where a water retaining dam was built in the outlet in 1999. To improve the reservoir regulation strategies, this study analysed streamflow change of the HSRYR in a mesoscale. A tank model (TM) was proposed and calibrated with monthly observation streamflow from 1991 to 1998. In the validation period, though there is a simulation deviation during the water storage and power generation period, simulated streamflow agrees favourably with observation data from 2008 to 2013. The model was further validated by two inside lakes area obtained from Landsat 5, 7, 8 datasets from 2000 to 2014, and significant correlations were found between the simulated lake outlet runoff and respective lake area. Then 21 Global Climate Models (GCM) ensembled data of three emission scenarios (SRA2, SRA1B and SRB1) were downscaled and used as input to the TM to simulate the runoff change of three benchmark periods 2011–2030 (2020s), 2046–2065 (2050s), 2080–2099 (2090s), respectively. Though temperature increase dramatically, these projected results similarly indicated that streamflow shows an increase trend in the long term. Runoff increase is mainly caused by increasing precipitation and decreasing evaporation. Water resources distribution is projected to change from summer-autumn dominant to autumn winter dominant. Annual lowest runoff will occur in May caused by earlier snow melting and increasing evaporation in March. According to the obtained results, winter runoff should be artificially stored by reservoir regulation in the future to prevent zero-flow occurrent in May. This research is helpful for water resources management and provides a better understand of streamflow change caused by climate change in the future.
Armanda Sofia Carvalho Santos Pereira1111

5 Introduction . 6 Non-­‐traditional students (NTS) . 6 Research with NTS . 8 Purpose of the study . 9 Hypothetic Model . 9 Method . 11 Participants and the context . 11 Measures . 11 Procedure . 12 Data Analysis . 13 Results . 13 Initial data screening . 13 Testing the hypothesized model . 14 Respecification and assessment of the final model . 15 Discussion . 18 Limitations and future studies . 21 References . 22 Non-traditional university students at University: an explanatory model of the intention to continue _________________________________________________________________________________
X-ray impact on the protoplanetary disks around T Tauri stars

Context. T Tauri stars have X-ray luminosities in the range LX = 10 28 − 10 32 erg s −1 . These luminosities are similar to their UV luminosities (LUV ∼ 10 30 −10 31 erg s −1 ) and therefore X-rays are expected to affect the physics and chemistry of the upper layers of their surrounding protoplanetary disks. Aims. The effects and importance of X-rays on the chemical and hydrostatic structure of protoplanetary disks are investigated, species tracing X-ray irradiation (for LX ≥ 10 29 erg s −1 ) are identified and predictions for [O i], [C ii], and [N ii] fine structure line fluxes are provided. Methods. We implemented X-ray physics and chemistry into the chemo-physical disk code ProDiMo. We include Coulomb heating and H2 ionization as heating processes and both primary and secondary ionization due to X-rays in the chemistry. Results. X-rays heat the gas causing it to expand in the optically thin surface layers. Neutral molecular species are not significantly affected in terms of their abundance and spatial distribution, but charged species such as N + ,O H + ,H 2O + ,a nd H 3O + display enhanced abundances in the disk surface. Conclusions. Coulomb heating by X-rays changes the vertical structure of the disk, yielding temperatures of ∼8000 K out to distances of 50 AU. The chemical structure is altered by the high electron abundance of the gas at the disk surface, causing an efficient ion-molecule chemistry. The products of this, OH + ,H 2O + and H3O + , are of great interest for observations of low-mass young stellar objects with the Herschel Space Observatory. Both [O i] (at 63 and 145 μm) and [C ii] (at 158 μm) fine structure emission are affected only for LX > 10 30 erg s −1 .
Fluid flow and heat transfer analysis of TEFC machine end regions using more realistic end‐winding geometry

Here, a typical small low-voltage totally enclosed fan-cooled (TEFC) motor (output power ∼10 kW) has been studied using computational fluid dynamics. The complexity of the end-winding geometries, often consisting of several insulated copper strands bound together, provides a challenge to the modelling and analysis of heat transfer and fluid flow phenomena occurring in the end region, which typically is an area of most interest for thermal management. Approximated geometries are usually employed in order to model the end windings to reduce the analysis time and cost. This paper presents a comparison of two cases, a typical simplified geometry and a more realistic geometry of end windings, and uses these cases to highlight the challenges and impact on predicted heat transfer. A comparison of the two models indicate that the different representations of end winding geometries can affect the heat dissipation rate through the outer housing by up to 45%.
The welfare cost of inflation

I ii ~PNE of the most controversial and least understood concepts of economic theory is that of the “welfare cost” associated with fully anticipated inflation. Other costs or burdens of inflation receive considerable attention in the press, hut the burdens usimally discussed are those associated with unanticipated inflation. Moreover, most of time costs of inflation which are widely recognized and discussed involve transfers of income and wealtim from osme group to another. For society as a whole, the value of these losses, or costs to some, tend to be offset by the value of gains, or benefits, accruing to others. In contrast, little or no attention is focimsed on the net loss of valuable services whiclm society hears due to immfiatiomm, or what economists call the welfare cost of inflation.
Event visualisation in ALICE - current status and strategy for Run 3

A Large Ion Collider Experiment (ALICE) is one of the four big experiments running at the Large Hadron Collider (LHC), which focuses on the study of the Quark-Gluon Plasma (QGP) being produced in heavy-ion collisions. The ALICE Event Visualisation Environment (AliEve) is a tool providing an interactive 3D model of the detector’s geometry and a graphical representation of the data. Together with the online reconstruction module, it provides important quality monitoring of the recorded data. As a consequence it has been used in the ALICE Run Control Centre during all stages of Run 2. Static screenshots from the online visualisation are published on the public website - ALICE LIVE. Dedicated converters have been developed to provide geometry and data for external projects. An example of such project is the Total Event Display (TEV) - a visualisation tool recently developed by the CERN Media Lab based on the Unity game engine. It can be easily deployed on any platform, including web and mobile platforms. Another external project is More Than ALICE - an augmented reality application for visitors, overlaying detector descriptions and event visualisations on the camera’s picture. For the future Run 3 both AliEve and TEV will be adapted to fit the ALICE O2 project. Several changes are required due to the new data formats, especially so-called Compressed Time Frames.
Effects of support on stress and burnout in school principals

Abstract Background: More than ever before, school principals are dealing with stress and burnout, resulting from increasing role demands and decreasing decision latitude and autonomy. Following the Demand–Support–Constraints model, reasons for stress and burnout can be found in the lack of social support in the environment. Purpose: This longitudinal study investigates whether changes in social support from colleagues, supervisors and/or the broader community affect levels of principal stress and burnout. Sample: Approximately 26% of Australia’s school principals took part (N = 3572): primary (n = 2660) and secondary (n = 912) spread across all Australian states and territories. Age ranged between 46 and 55 years, and mean leadership experience was 12 years. Design and methods: Since stress and burnout are psychological phenomena that develop over time, a longitudinal approach was adopted. Data were collected across four waves, spread over four years, from 2011 to 2014. Results: It was found that social support predicts decreased stress and in turn burnout in school principals, however differences were found according to the type of social support. The data provide strong evidence for a positive effect of stress on burnout (e.g. the more stress at time 2, the more burnout in principals at time 3) and partial support for indirect negative effects of social support on burnout (e.g. the more support from colleagues at time 2, the less burnout in principals at time 3). However, we also found two instances of positive effects of social support from the broader community on burnout. This suggests that the more support principals receive from the broader community, the more likely they are to show burnout symptoms. This might be explained as the ‘the downside of empathy’, where principals who are strongly supported by their community might also feel more connected to that community. When their community is struggling, they are probably struggling as well. Conclusions: The findings highlight the positive impact the wider school community can play in providing supplementary professional support to the principal. Unbundling or repackaging the job responsibilities with an administrative team that shares the leadership of the school, could be part of the solution.
Statistical Relationship among Driver’s Drowsiness, Eye State and Head Posture

Many serious accidents in road traffic are resulted from driver’s drowsiness, leading to special efforts in improving traffic safety by searching for optimal models to accurately detect and alert driver’s drowsiness. Thus, numerous scholars worldwide have paid special interest in proposing a great number of detection methods, among which visual feature-based approaches, such as eye state, head movement, yawning, facial expressions, etc., have been most preferred as they are non-intrusive and effectively detect drowsiness. However, the current literature fails to show the statistical relationships among the driver’s drowsiness, eye state and head posture. Thus, the statistical linear regression and binary logistic regression models found in this paper fill the existing gap; especially, the eye state should be determined by simultaneously monitoring the eye states of both eyes and it has greater impact on the detection ability than that of head posture. More importantly, the interactive combination of eye state and head posture provides better detection ability. Our proposed logistic regression model can correctly detect 99.1% of the total investigated observations in a practical experiment study.
Permanent Changes in the Wage Structure and the East German Fertility Crisis

After the fall of the Berlin wall, the total fertility rate in East Germany tumbled from 1.7 (1989) to a stunning 0.7 children per woman (1994). While this fact is well-documented, little is still known about the crisis underlying causes. We propose a new explanation: permanent shifts in the East German wage structure that are plausibly exogenous from the individual s perspective. Economic transition dramatically increased the returns to human capital in East Germany. Economic theory suggests that rising returns to experience and education favor career investment and the postponement of births. Our results suggest that women postpone fertility when the wage penalty for time off work in the current period are high; and the postponement is much stronger for high-skilled women. Overall, our estimates can account for a substantial fraction of the observed fertility decline and demonstrate that incentives in the labor market have a strong influence on fertility decisions.
THREE COMPOUNDS WITH POTENT-GLUCOSIDASE INHIBITORY ACTIVITY PURIFIED FROM SEA CUCUMBER STICHOPUS JAPONICUS

Diabetes mellitus is a worldwide health problem which is increasing every year. One therapeutic approach to decrease postprandial hyperglycemia is to slow down the absorption of glucose through inhibition of -glucosidase. Here we explore the potential -glucosidase inhibitory activity of compounds extracted from sea cucumber, Stichopus japonicus. We found that the aqueous methanol extract of sea cucumber, Stichopus japonicus inhibited yeast -glucosidase activity by 68% at 0.5 mg/ml. The following hexane fraction was the most potent ( 98% inhibition at 10 g/ml). Three compounds with potent -glucosidase inhibitory activities were purified from S. japonicus. IC50 values of compound 1, 2 and 3 were 1.22, 0.17 and 0.36 g/ml against Saccharomyces cerevisiae -glucosidase, and 2.49, 0.24 and 0.21 g/ml against Bacillus stearothermophilus -glucosidase, respectively. Both compound 1 and 2 inhibited yeast -glucosidase activity non-competitively (Ki value of 0.98 and 0.06 g/ml), while compound 3 showed a mixed type inhibition (Ki value of 0.61 g/ml). In addition, compound 1, 2 and 3 were very stable under thermal and acidic conditions up to 30 and 60 min. We conclude that compounds of S. japonicus have potential as natural nutraceuticals and that these compounds could be use to prevent diabetes mellitus because of their high glucosidase inhibitory activity.
Nonlinear Signal Reconstruction Based on the Decomposition Into Chaotic Components

The paper proposes a signal reconstruction technique based on the decomposition into chaotic components. The considered approach can be usefully associated with the filtering, forecasting and control algorithms when only a small number of data samples is available. The developed decomposition algorithm involves sequential component extraction and recursive computation of the cost function. Some related questions are also discussed: choice of the class of chaotic maps, computational complexity of parameter estimation.
Klein Link Multiplicity and Recursion

The (m,n)-Klein links are formed by altering the rectangular representation of an (m,n)-torus link. Using the braid representation of a (m,n)-Klein link, we generalize a previous braid word result and show that the (m, 2m)-Klein link can be expressed recursively. Applying braid permutations, we determine a formula for the number of components for an (m,n)-Klein link and classify the Klein links that are equivalent to knots. Acknowledgements: We want to thank our advisors, Drs. Jennifer Bowen and John Ramsay, for all of their support and guidance. Additionally, we wish to thank HHMI, Sophomore Research at the College of Wooster, and AMRE for funding our project. RHIT Undergrad. Math. J., Vol. 17, No. 2 Page 147
WSI realtime winter precipitation forecasting using WRF

At WSI Corporation, version 2.0. 3 of the Weather Research and Forecast (WRF) model is used to generate 51 hr real-time forecasts every three hours for the continental US (CONUS). The model is run at 12 km horizontal grid separation distance (GSD) and 35 vertical levels. More information on the WRF model can be found in Michalakes et al. (2001) and Skamarock et al. (2001). More information on the real-time modeling activities at WSI can be found in a companion preprint by Hutchinson et al. (2005).