Miracle-dz/UniFAR-FTUs huggingface dataset:
THE EFFECT OF INFLATION, BI RATE, ECHANGE RATE, AND STANDARD AND POOR'S 500 ON THE COMPOSITE STOCK PRICE INDEX: AN EMPIRICAL STUDY OF MANUFACTURING COMPANIES LISTED ON THE STOCK EXCHANGE IN 2015-2019

This study aimed to determine the effect of inflation, the BI rate, the exchange rate, and Standard & Poor's 500 on the Composite Stock Price Index (JCI). The population of this study is all data on the JCI, BI Rate, Inflation, Exchange Rates, and the Standard & Poor's 500 in the 2016–2019 period on the Indonesia Stock Exchange (IDX). The sample for this study was selected by the saturated sampling method within the range of 48 months, starting from January 2016 to December 2019. The analytical tool used in this study was multiple linear regression analysis. The results of this study indicate that inflation, the BI Rate, and the Standard & Poor's 500 have a positive and insignificant effect on the composite stock price index. Furthermore, the exchange rate has a negative and significant effect on the composite stock price index
Modeling healthcare costs in simultaneous presence of asymmetry, heteroscedasticity and correlation

Highly skewed outcome distributions observed across clusters are common in medical research. The aim of this paper is to understand how regression models widely used for accommodating asymmetry fit clustered data under heteroscedasticity. In a simulation study, we provide evidence on the performance of the Gamma Generalized Linear Mixed Model (GLMM) and log-Linear Mixed-Effect (LME) model under a variety of data-generating mechanisms. Two case studies from health expenditures literature, the cost of strategies after myocardial infarction randomized clinical trial on the cost of strategies after myocardial infarction and the European Pressure Ulcer Advisory Panel hospital prevalence survey of pressure ulcers, are analyzed and discussed. According to simulation results, the log-LME model for a Gamma response can lead to estimations that are biased by as much as 10% of the true value, depending on the error variance. In the Gamma GLMM, the bias never exceeds 1%, regardless of the extent of heteroscedasticity, and the confidence intervals perform as nominally stated under most conditions. The Gamma GLMM with a log link seems to be more robust to both Gamma and log-normal generating mechanisms than the log-LME model.
The Predicted Model of the Sensory Quality of Refrigerated Tilapia Skin Established Based on Characteristic Near-Infrared Spectrum

ABSTRACT The predicted model of the sensory quality of refrigerated tilapia skin at 8°C was constructed using near-infrared spectroscopy (NIRS) based on the principle of sample packaging integrity. The characteristic spectral intervals were chosen from preprocessed spectral data using synergy interval partial least squares (siPLS), principal component analysis, and Jordan–Elman back propagation-artificial neural network (JENN) was used to build a prediction model for tilapia skin quality parameter. The results showed that the multiple scatter correction (MSC) + 2nd derivative was the best-preprocessed method, and the four characteristic spectral intervals were 680–740, 742–800, 980–1040, and 1150–1210 nm. Further, the cumulative contribution rate of the first three principal components was 99.15%. Additionally, the root mean square error of cross-validation set (RMSECV) of transfer function (tanh) of the model was 0.386, the determinant coefficient for prediction ( ) was 0.973, and the RMSECV and were 0.393 and 0.971 for unknown samples, respectively. The results showed that NIRS combined with JENN could allow rapid and accurate evaluation of tilapia skin quality in the range of 73.00–97.00 scores.
Asymptotic Properties of Maximum Likelihood Estimates in the Mixed Model of the Analysis of Variance

We show that in the mixed model of the analysis of variance, there is a sequence of roots of the likelihood equations which is consistent, asymptotically normal, and efficient in the sense of attaining the Cramer-Rao lower bound for the covariance matrix. These results follow directly by an application of a general result of Weiss (1971, 1973) concerning maximum likelihood estimates. This problem differs from standard problems in that we do not have independent, identically distributed observations and that estimates of different parameters may require normalizing sequences of different orders of magnitude. We give some examples and comment briefly on likelihood ratio tests for these models.
Academic Librarians’ Perceptions of Productivity While Working From Home During the COVID-19 Pandemic

This research study assessed academic librarians’ perceptions of productivity while working from home during the COVID-19 pandemic. Information was collected via an online survey that was sent out to several Association of College and Research Libraries listservs. Participants were academic librarians who work at large colleges and universities (FTE is greater than 15,000 students). Librarianship is a practice done mostly onsite, and with the sudden transition to remote work, academic librarians were forced to adapt to an unknown work environment with less access to the direct support of supervisors. This research demonstrates that the majority of academic librarians perceived themselves to be highly productive, and generally satisfied with their jobs, while working from home.
Technology-Based Smoking Cessation for Youth Exiting Foster Care: A Pilot Randomized Trial

ABSTRACT Despite high rates of cigarette use, little attention has been paid to screening and cessation services for youth in foster care. Study aims were to test the feasibility, acceptability, and preliminary efficacy of a technology-based smoking cessation intervention. Study enrollment, satisfaction, and engagement were high in the intervention arm, where readiness to change also significantly increased over time. Intervention and control participants significantly reduced cigarette use at 6-month follow-up, though groups did not differ. Technology-based interventions appear to be attractive and offer a potentially scalable link to health care that this vulnerable population may not otherwise seek.
SH3BP2 Silencing Increases miRNAs Targeting ETV1 and Microphthalmia-Associated Transcription Factor, Decreasing the Proliferation of Gastrointestinal Stromal Tumors

Simple Summary A previous study showed that silencing the adaptor molecule SH3 Binding Protein 2 (SH3BP2) reduced oncogenic KIT and PDGFRA receptor levels and impaired gastrointestinal stromal tumor (GIST) growth. This study tries to get insights into the molecular mechanism underlying this effect. The silencing of SH3BP2 induces miRNAs (miR-1246 and miR-5100), which target microphthalmia-associated transcription factor (MITF) and ETV1, a linage survival factor involved in GIST tumorigenesis. Altogether, this results in decreased tumor cell viability and enhanced apoptosis. Abstract Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. Gain of function in receptor tyrosine kinases type III, KIT, or PDGFRA drives the majority of GIST. Previously, our group reported that silencing of the adaptor molecule SH3 Binding Protein 2 (SH3BP2) downregulated KIT and PDGFRA and microphthalmia-associated transcription factor (MITF) levels and reduced tumor growth. This study shows that SH3BP2 silencing also decreases levels of ETV1, a required factor for GIST growth. To dissect the SH3BP2 pathway in GIST cells, we performed a miRNA array in SH3BP2-silenced GIST cell lines. Among the most up-regulated miRNAs, we found miR-1246 and miR-5100 to be predicted to target MITF and ETV1. Overexpression of these miRNAs led to a decrease in MITF and ETV1 levels. In this context, cell viability and cell cycle progression were affected, and a reduction in BCL2 and CDK2 was observed. Interestingly, overexpression of MITF enhanced cell proliferation and significantly rescued the viability of miRNA-transduced cells. Altogether, the KIT-SH3BP2-MITF/ETV1 pathway deserves to be considered in GIST cell survival and proliferation.
Multitemporal classification of TerraSAR-X data for wetland vegetation mapping

Abstract This paper is concerned with wetland vegetation mapping using multitemporal synthetic aperture radar imagery. Although wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon and providing an abundance of ecological services, knowledge of the flora and fauna of these environments is patchy, and understanding of their ecological functioning is still insufficient for a reliable functional assessment on areas larger than a few hectares. The aim of this paper is to evaluate multitemporal TerraSAR-X imagery to precisely map the distribution of vegetation formations considering flood duration. A series of six dual-polarization TerraSAR-X images (HH-VV) was acquired in 2012 during dry and wet seasons. One polarimetric parameter, the Shannon entropy (SE), and two intensity parameters ( σ ° HH and σ ° VV), which vary with wetland flooding status and vegetation roughness, were first extracted. These parameters were then classified using support vector machine techniques based on a specific kernel adapted to the comparison of time-series data, K-nearest neighbors, and decision tree (DT) algorithms. The results show that the vegetation formations can be identified very accurately ( kappa index = 0.85 ) from the classification of SE temporal profiles derived from the TerraSAR-X images. They also reveal the importance of the use of polarimetric parameters instead of backscattering coefficients alone (HH or VV) or combined (HH and VV).
The effect of teaching methods on university students’ intention to use online learning: Technology Acceptance Model (TAM) validation and testing

Web 2.0 has changed the way consumers access information. This study aims to investigate the relationship between social media (Watsons’ Facebook page) content and consumers repurchase intention. In addition, it determined whether E-WOM and interactivity can act as the mediating variables between the social media content and repurchase decision. The data were collected through online and offline questionnaires. A total of 146 valid questionnaires were obtained and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM) through the SMART-PLS 3.3. 9 software. The findings support the direct effect of social media content on E-WOM, interactivity, and repurchase intention. Moreover, the results confirmed the mediating role of interactivity between social media content and repurchase intention, however, E-WOM does not mediate between social media content and repurchase intention. The present study suggests some managerial implications for beauty brand retailers and provides fundamental strategies related to their social media.
Exploring an Applied Ecological Model of the Effects of Household, School, and Community Environments on Adolescent Mental Health in Japan

Adolescent mental health is an urgent global public health issue and is affected by household, school, and community environments. However, few studies, and none in Japan, have used applied ecological models to identify environmental factors that affect adolescent mental health. This study aimed to examine an applied ecological model of sequential association between household, school, and community environmental factors and their effects on adolescent mental health in Japan (ECO-AM model). This was a secondary analysis of data from the 2013 Japanese Comprehensive Survey of Living Conditions. Participants were 893 adolescents aged 12–14 years and their household heads living in Japan. Data for 728 adolescents were analyzed after excluding participants with missing values (valid response rate: 81.5%). Screening using the six-item Kessler Psychological Distress Scale demonstrated that 33.8% of adolescents had mood and anxiety disorders. Covariance structure analysis yielded a model with strong goodness-of-fit that described associations between mood and anxiety disorder and vitality, and household, school and community environments. The explanatory variables accounted for 36% of mood and anxiety disorder scores. The study emphasizes the importance of the relationship between different environments and suggests that a better understanding of environmental factors would help support adolescent mental health.
The Remote Role of North‐American Mesoscale Convective Systems on the Forecast of a Rossby Wave Packet: A Multi‐Model Ensemble Case‐Study

North American Mesoscale Convective Systems (MCSs) have been linked to instances of poorly forecasted Rossby wave packets (RWPs). A computationally inexpensive investigation is proposed to demonstrate a dynamical mechanism by which MCSs modify a RWP associated with a high‐impact weather event. Global ensemble forecast data, reanalysis and high‐resolution observations are used to assess the remote role of negative potential vorticity (PV) arising from divergent outflow on RWP propagation coinciding with the 11–21 June 2017 European heatwave. In this case, synoptic‐scale bands of negative PV which advect toward the jet stream arise from regions of active MCSs. The forecast data results show that the numerical misrepresentation of the anticyclonic circulation associated with negative PV can impinge on the forecast of a RWP. In each of the four forecasting models assessed, ensemble members that advected lower values of PV toward the equatorward branch of a North American ridge favored enhanced poleward amplification of the ridge and a more eastward progression of the RWP. The more eastward displacement of the RWP also coincided with an enhanced wave activity flux downstream. Although, we do not find a significant impact on the forecasted heatwave. The results urge further investigation into the role of negative PV in remotely influencing high‐impact weather.
Some notes and numerical comparisons on gravity anomalies interpolation

Abstract The interpolation of gravity anomalies is a widely used process by the geodetic and geophysical communities to achieve their objectives. This interpolation is commonly made using geostatistic methods (Kriging or least-squares prediction), over gravity anomalies uncorrelated with height (Bouguer or residual free-air gravity anomalies). The interpolation of free-air or Faye gravity anomalies, which are strongly correlated with height, is usually achieved by the interpolation of Bouguer anomalies and subsequent transformation to free-air or Faye anomalies. This paper describes the method of using the local linear correlation with height as a parameter inside the interpolation for these last gravity anomalies, forming a one-step interpolation procedure. Numerical values are also obtained and compared for the interpolation of different gravity anomalies. These gravity anomalies are: free-air, refined Bouguer and Faye anomalies, reduced free-air, reduced refined Bouguer and reduced Faye anomalies (using the recent EIGEN-CG03C global geopotential model to degree 360) and residual free-air gravity anomalies. The area studied is located in the Valencia Region (Eastern Spain). The analysis of the results is based on the actual error derived from the interpolated value at a number of control points by comparison with their actual observed values (absolute error). The main conclusion reached is that all type of gravity anomalies and methods used for interpolation give the same results.
Color filter array recovery using a threshold-based variable number of gradients

The increase in the popularity of digital cameras over the past few years has provided motivation to improve all elements of the digital photography signal chain. As a contribution towards this common goal, we present a new CFA recovery algorithm, which recovers full-color images from single-detector digital color cameras more accurately than previously published techniques. This CFA recovery algorithm uses a threshold-based variable number of gradients. In order to recover missing color information at each pixel, we measure the gradient in eight directions based on a 5 X 5 neighborhood surrounding that pixel. Each gradient value is defined as a linear combination of the absolute differences of the like-colored pixels in this neighborhood. We then consider the entire set of eight gradients to determine a threshold of acceptable gradients. For all of the gradients that pass the threshold test, we use color components from the corresponding areas of the 5 X 5 neighborhoods to determine the missing color values. We test our CFA recovery algorithm against bilinear interpolation and a single- gradient method. Using a set of standard test images, we show that our CFA recovery algorithm reduces the MSE by over 50 percent compared to conventional color recovery algorithms. In addition, the resolution test we developed also show that the new CFA recovery algorithm increases the resolution by over 15 percent. The subjective qualities of test images recovered using the new algorithm also show noticeable improvement.
Wavenumber Selection in Nonlinear Baroclinic Instability

Abstract Laboratory experiments with finite-amplitude baroclinic waves arising from instability of a two-layer f-plane shear flow are reported. They show that as the system becomes more and more supercritical, as measured by decreasing E½/Ro, where E is the Ekman number and Ro the Rossby number associated with the driving, there are a succession of wavenumber transitions to lower and lower wavenumbers. At finite amplitude, the dominant wavenumber is considerably smaller than that predicted by linear stability theory. A simple weakly nonlinear model is constructed to interpret the laboratory results. It shows that because the longer growing waves do not extract energy as rapidly from the mean flow as the shorter ones, at finite amplitude, the preferred equilibrium states are dominated by the former. The theoretical calculation also indicates that at least near the neutral curve sideband harmonics do not substantially affect the equilibration process. In addition, a mechanism that may explain the observatio.
Iterated function systems and the global construction of fractals

Iterated function systems (i. f. ss) are introduced as a unified way of generating a broad class of fractals. These fractals are often attractors for i. f. ss and occur as the supports of probability measures associated with functional equations. The existence of certain ‘p-balanced’ measures for i. f. ss is established, and these measures are uniquely characterized for hyperbolic i. f. ss. The Hausdorff—Besicovitch dimension for some attractors of hyperbolic i. f. ss is estimated with the aid of p-balanced measures. What appears to be the broadest framework for the exactly computable moment theory of p-balanced measures — that of linear i. f. ss and of probabilistic mixtures of iterated Riemann surfaces — is presented. This extensively generalizes earlier work on orthogonal polynomials on Julia sets. An example is given of fractal reconstruction with the use of linear i. f. ss and moment theory.
Cross Validation Calibration Based Shrinkage – Revisited for the Construction of Prognostic Indices

The use of shrinkage methods for the construction of prognostic indices has been paid increasing attention in the literature on medical statistics in the last years. One approach for the construction of a shrinkage factor is cross validation calibration as suggested by van Houwelingen and le Cessie (1990). We investigate this approach in more detail. First we try to clarify why shrinkage factors constructed by cross validation calibration tend to be smaller than 1. Second we explain why use of this shrinkage factor can result in an improvement of the average prediction error. Third we investigate the possible gain for constellations relevant in medical research by means of a simulation study, focusing on the dilemma, that the improvement on average has to be paid by distinct deteriorations for some patients. Finally we conclude that it is necessary to rethink the choice of loss functions in constructing prognostic indices before recommendations about the use of shrinkage methods can be made.
Polyphase tectonic reworking of serpentinites and chlorite‐tremolite‐talc rocks (SW Spain) from the subduction forearc to intracontinental emplacement

The petrostructural and geochronological study of a poorly known ultramafic unit from SW Spain (Badajoz–Córdoba belt) combined with previous structural data permits disclosure of a history of metasomatism, tectono‐metamorphism, reworking and isotopic resetting related to a poly‐orogenic evolution in different geodynamic scenarios. The heterogeneous ultramafic unit studied contains antigorite‐serpentinites and metasomatized ultramafic rocks (chlorite‐talc schists, tremolite‐talc‐chlorite rocks and magnesio‐hornblende‐chlorite rocks). Mantle‐wedge serpentinization was followed by Si and Al pre‐ to syn‐metamorphic/tectonic metasomatism in a subduction realm. Petrofabrics of selected lithologies reveal variable syn‐metamorphic crystal‐plastic deformation and recrystallization (assisted by other mechanisms) under relative high pressure, concomitant with the conditions recorded by neighbouring tectonic units that were later intruded by Ordovician granites. The resultant ensemble was reworked and isotopically reset much later in an intracontinental ductile shear zone. Syn‐ to late‐tectonic apatite from chlorite‐talc schists provides an anchored Tera–Wassenburg isochron radiometric age of 342.8 ± 12.2 Ma that provides evidence for the decoupling between isotopic systems and microstructures. The results are discussed from a twofold perspective: with regard to the likely tectonic context of this ophiolite (the current analogue of the Mariana forearc) and with regard to regional geological implications.
Snoring Index and Neck Circumference as Predictors of Adult Obstructive Sleep Apnea

Background. Snoring is the cardinal symptom of obstructive sleep apnea (OSA). The acoustic features of snoring sounds include intra-snore (including snoring index [SI]) and inter-snore features. However, the correlation between snoring sounds and the severity of OSA according to the apnea–hypopnea index (AHI) is still unclear. We aimed to use the snoring index (SI) and the Epworth Sleepiness Scale (ESS) to predict OSA and its severity according to the AHI among middle-aged participants referred for polysomnography (PSG). Methods. In total, 50 participants (mean age, 47.5 ± 12.6 years; BMI: 29.2 ± 5.6 kg/m2) who reported snoring and were referred for a diagnosis of OSA and who underwent a whole night of PSG were recruited. Results. The mean AHI was 30.2 ± 27.2, and the mean SI was 87.9 ± 56.3 events/hour. Overall, 11 participants had daytime sleepiness (ESS > 10). The correlation between SI and AHI (r = 0.33, p = 0.021) was significant. Univariate linear regression analysis showed that male gender, body mass index, neck circumference, ESS, and SI were associated with AHI. SI (β = 0.18, p = 0.004) and neck circumference (β = 2.40, p < 0.001) remained significantly associated with AHI by the multivariate linear regression model. Conclusion. The total number of snores per hour of sleep and neck circumference were positively associated with OSA among adults referred for PSG.
MSSW resonators with straight edge reflectors

The performance of a novel magnetostatic surface wave (MSSW) resonator structure is presented. The resonator uses rectangular YIG film to propagate MSSWs where the straight edges serve as reflectors. The resonator was tunable from 3 to 9 GHz by varying the DC bias field from 500 to 2500 Oe and exhibited very high Q ranging from 900 to 4000. Through a careful parameter choice, the spurious modes were suppressed by more than 15 dB from the main resonance. Problems arising from coupling to width modes and their effect on the main resonance are discussed.