Miracle-dz/UniFAR-FTUs huggingface dataset:
POS0159-HPR IMPACT OF SLEEP DISTURBANCES ON ELDERLY PATIENTS WITH RHEUMATOID ARTHRITIS

Sleep disturbances have been reported in various rheumatic diseases especially in the elderly. It may be caused by pain and depressive mood. However, reports on the impact of sleep problems in rheumatoid arthritis (RA) activity and functional status were limited.To assess sleep quality in elderly patients with RA and its impact on disease activity and functional status.This cross-sectional study included 70 RA patients aged ≥ 65 years fulfilling the ACR/EULAR criteria. Sociodemographic data were collected. RA activity was assessed with the Disease Activity Score (DAS28) and functional status with the Health Assessment Questionnaire (HAQ). Sleep quality was assessed using Arabic translated versions of two indexes: the Insomnia Severity Index (ISI) and the Pittsburg Sleep Quality Index (PSQI). An ISI score of [8-14], [15-21], and [22-28] determined respectively mild, moderate, and severe insomnia. A PSQI score > 5 determined poor sleep quality. ANOVA test was used to assess the relationship between DAS28 erythrocyte sedimentation rate (ESR), HAQ, and sleep quality indexes.This study included 52 females and 18 males with a mean age of 68.3 ± 25 years [65-81]. Seventy percent of patients were married, 27% were widowed and 2% were divorced. Seventy-one percent of patients were illiterate, 18% had primary education and 11% had secondary education. Eighteen percent of patients were employed whereas 34.7% were retired. A history of depression was noted in 16.5% of patients. The mean duration of RA was 17.4 ± 5.2 years. Eighty-five percent of patients were on conventional synthetic DMARD whereas 15% were treated with biologic treatment. The mean patient’s global assessment of disease activity was 5.2 ± 1.3. The mean tender joint count and mean swollen joint count were 8 ±1.5 and 5 ±1 respectively. The mean DAS28 ESR was 4.7 ±0.9. The mean HAQ was 2.4 ± 0.45. Poor sleep quality was detected in 84% of cases according to the PSQI score. Mild insomnia was detected in 46% of cases, moderate insomnia in 34% of cases, and severe insomnia in 12% of cases. RA activity was higher in patients with poor sleep quality: the mean DAS28 ESR was 5.2 in patients with severe insomnia, 4.82 in moderate insomnia, and 4.13 in mild insomnia; p= 0.00 respectively. The mean ESR was 31.5 mm in patients with severe insomnia, 22.1 mm in moderate insomnia, and 10.6 mm in mild insomnia; p= 0.01 respectively. Furthermore, the higher the PSQI was, the higher DAS28 ESR is (p =0.01). However, no association was found between poor sleep quality and joint count, swollen joint count, CRP, and HAQ.Disease activity was a major contributor to poor sleep quality in elderly patients with RA. Functional status however wasn’t associated with insomnia. Physicians should include sleep in the clinical assessment of RA patients to improve their quality of life.None declared
1 + 1 < 2! Effects of Social Media Engagement and Advertising on Firm Value of Tourism and Hospitality Companies

Engaging customers via social media networking has become a rising trend of investments for tourism and hospitality firms. This new trend is termed “social media engagement. ” However, whether social media engagement can actually lead to increased financial value for tourism and hospitality firms is doubted. This study theorizes and empirically examines the relationship between social media engagement and intangible value of tourism and hospitality firms, and the joint effects of social media engagement and advertising investments on firm value. Using a daily longitudinal data set from tourism and hospitality firms that have issued domestic A-shares in China, this study finds that social media engagement has a significant and positive relationship with the firm value of tourism and hospitality companies. However, the two types of investments interact as substitutes, such that increasing advertising investments attenuate the beneficial effect of social media engagement on firm value.
Pre-service English Teachers’ Strategies in Incorporating Character Education during the Teaching Practice Program at UIN Antasari Banjarmasin

This research explores the strategies performed by pre-service English teachers in incorporating traits or character in writing their lesson plans during their teaching practicum. Twelve students of the English Department at Universitas Islam Negeri Antasari Banjarmasin were recruited to join the study. This course explored the experience of undertaking an authentic teaching and learning activity of these pre-service English teachers, starting from creating a syllabus, writing lesson plans to execute a micro-teaching action. A classroom-based study is conducted to generate data. Primary data was obtained in the micro-teaching class through a participatory observation technique, in-depth interviews, and analysis of the lesson plan documents. The data were analyzed qualitatively using thematic analysis. The findings indicate that they mainly used instructional methods for group discussion and small group presentation. Honesty, trustworthiness, respect, and responsibility are the traits that are expressed in their lesson plans. Next, this study’s outcome is expected to increase teacher understanding of various possibilities in developing the lesson plans and instructional materials that facilitate the character-building incorporation.
Understanding forest pictures on social media– A method to grasp nonverbal dimensions of human–nature relationships

ABSTRACT The increasing importance of images as an everyday medium of communication (e.g. in consequence of the use of smartphones and social media) has led to an intensive engagement of the social sciences with the methodological accessibility of images. In this paper we present a qualitative image analysis method developed to understand nonverbal dimensions of human-nature relationships. The method is methodologically substantiated and presented in form of a step-by-step guideline. It offers an opportunity to transfer images into words by accepting the images characteristic materiality. Furthermore, an example analysis of a picture posted on a social media platform is provided. Based on this, this paper asks and discusses what research dedicated to the visual can do for environmental sociology regarding content-related insights as well as regarding methodological issues addressing a sociological research that rethinks and expands its repertoire to increasingly involve more-than-human actors in environmental sociology. In this way, the paper aims to discuss the added value of the suggested method and its potential to improve the understanding of sensory and emotional dimensions of human-nature relationships in the context of environmental sociology.
Central nervous system depressant activity of Diospyros peregrina bark

The methanol extract of Diospyros peregrina bark was studied for its effect on the central nervous system (CNS) using the pentobarbitone induced sleeping time test, the open field test and the hole cross test in Swiss albino mice. The present investigation revealed that the extract, at the doses of 250 and 500 mg/kg, significantly prolonged the pentobarbitone induced sleeping time in mice though the onset of sleep was delayed as compared to the control. In open field test, the depressing effect was prominent from the second observation period (30 min) and persisted throughout the entire experimental period (240 min). In the hole cross test, the depressing effect was observed from the second observation period (30 min) and persisted up to fifth observation period (120 min) for 250 mg dose group and up to sixth observation period (180 min) for 500 mg dose group. These results support the finding that D. peregrina bark extract at the above doses has CNS depressing effects and indicate that D. peregrina bark may contain biologically active constituent(s) having CNS depressant activity.
The nexus between agricultural production and agricultural loans for banking sector groups in Turkey

PurposeThis study aims to determine the nexus between agricultural production and agricultural loans for the period Q1 2003–Q4 2018 in Turkey.Design/methodology/approachThe authors employ the time-series analyses within the scope of the study. Firstly, they run the Engle–Granger two-step cointegration test and the Toda–Yamamoto causality analysis. They also use the dynamic ordinary least squares (DOLS) model estimator and estimate the vector autoregression model for predicting the dynamic structure of time series.FindingsThe results of time series analyses reveal that the variables are cointegrated and there are causal relationships between agricultural loans and agricultural production. Also, the variance decomposition findings indicate that the effect of agricultural loans provided by development-investment banks and participation banks on agricultural production has increased over the years, and the deposit banks have a high impact on agricultural production. The results of the DOLS model indicate that agricultural loans have a positive effect on agricultural production.Originality/valueThis research is one of the few studies that comprehensively determines the direction of nexus between agricultural production and agricultural loans in Turkey economy. This is the first contribution of the study in the literature. Another contribution of this study is to investigate the nexus between agricultural production and agricultural loans for banking sector groups. Unlike other studies in the literature, this study calculates the variance decomposition by going beyond unit root and cointegration tests. Thus, this study has deep findings.
Evaluating the Performance of sUAS Photogrammetry with PPK Positioning for Infrastructure Mapping

Traditional acquisition methods for generating digital surface models (DSMs) of infrastructure are either low resolution and slow (total station-based methods) or expensive (LiDAR). By contrast, photogrammetric methods have recently received attention due to their ability to generate dense 3D models quickly for low cost. However, existing frameworks often utilize many manually measured control points, require a permanent RTK/PPK reference station, or yield a reconstruction accuracy too poor to be useful in many applications. In addition, the causes of inaccuracy in photogrammetric imagery are complex and sometimes not well understood. In this study, a small unmanned aerial system (sUAS) was used to rapidly image a relatively even, 1 ha ground surface. Model accuracy was investigated to determine the importance of ground control point (GCP) count and differential GNSS base station type. Results generally showed the best performance for tests using five or more GCPs or when a Continuously Operating Reference Station (CORS) was used, with vertical root mean square errors of 0.026 and 0.027 m in these cases. However, accuracy outputs generally met comparable published results in the literature, demonstrating the viability of analyses relying solely on a temporary local base with a one hour dwell time and no GCPs.
BFGS method based variable projection approach for image restoration

In this paper, a variable projection approach based on the BFGS (Broyden–Fletcher– Goldfarb–Shanno) method for image reconstruction problems is proposed, which is an alternative to the common alternating minimisation scheme. The image restoration is expressed as a nonlinear least-squares problem with reduced parameter space. To improve the efﬁciency of the algorithm, the BFGS method is proposed to be used to optimise the reduced objective function. The large-scale problem considered in this paper is projected on to a small Krylov subspace using Lanczos bidiagonalisation. The regularisation parameter is selected by a weighted generalised cross validation criterion. Numerical examples demonstrate the efﬁciency and effectiveness of the proposed algorithm.
Sea surface height anomaly and geostrophic velocity from altimetry measurements over the Arctic Ocean (2011–2018)

Abstract. In recent decades the decline of the Arctic sea ice has modified vertical momentum fluxes from the atmosphere to the ice and the ocean, thereby affecting the surface circulation. In the past ten years satellite altimetry has contributed to understand these changes. However, data from ice-covered regions require dedicated processing, originating inconsistency between ice-covered and open ocean regions in terms of biases, corrections and data coverage. Thus, efforts to generate consistent Arctic-wide datasets are still required to enable the study of the Arctic Ocean surface circulation at basin-wide scales. Here we provide and assess a monthly gridded dataset of sea surface height anomaly and geostrophic velocity. This dataset is based on Cryosat-2 observations over ice-covered and open ocean areas of the Arctic up to 88° N for the period 2011 to 2018, interpolated using the Data-Interpolating Variational Analysis (DIVA) method. Geostrophic velocity was not available north of 82° N before this study. To examine the robustness of our results, we compare the generated fields to one independent altimetry dataset and independent data of ocean bottom pressure, steric height and near-surface ocean velocity from moorings. Results from the comparison to near-surface ocean velocity show that our geostrophic velocity fields can resolve seasonal to interannual variability of boundary currents wider than about 50 km. We further discuss the seasonal cycle of sea surface height and geostrophic velocity in the context of previous literature. Large scale features emerge, i.e. Arctic-wide maximum sea surface height between October and January, with the highest amplitude over the shelves, and basin wide seasonal acceleration of Arctic slope currents in winter. We suggest that this dataset can be used to study not only the large scale sea surface height and circulation but also the regionally confined boundary currents. The dataset is available in netCDF format from PANGAEA at [data currently under review].
Table-based formal specification approaches for control engineers - empirical studies of usability

The dependability characteristic of the control software of manufacturing systems is highlighted more than before, going through repeated changes to cope with various and varying requirements. Formal methods are researched to be applied to automation system engineering to obtain a more effective and efficient quality assurance. One of the approaches, a formal specification language named Generalised Test Tables has been developed with the aim of intuitiveness and accessibility for automation application developers. The result of the experiments conducted to assess the usability of this language is presented here. Focussing on evaluating effectiveness and user satisfaction, three paper-based experiments have been conducted with students at the bachelor and master level. The evaluation results point to positive usability in both comparative effectiveness to conventional language, that is, Petri Nets, and subjective perception of user satisfaction.
Absence of evidence for underspecification in prenominal relative clause attachment

ABSTRACT Relative clauses with ambiguous attachment are sometimes processed faster than their unambiguous counterparts. Two broad classes of theories account for this phenomenon: Race-based models posit that ambiguous sentences are read faster due to a “race” between several permissible analyses of the sentence. In contrast, the strategic underspecification account maintains that, under the right conditions, readers underspecify ambiguities in order to save time. We argue that the two accounts make qualitatively different predictions for structures with pre-nominal relative clauses, such as in Turkish. While the underspecification account predicts an ambiguity advantage in Turkish, race-based accounts predict the absence of such an effect. We present data from two reading experiments in Turkish (N=39 and N=184) in which we find no evidence for a substantial ambiguity advantage in the processing of ambiguous sentences with prenominal relative clauses and argue that this finding poses a major challenge for the strategic underspecification account.
A Systematic Review of the Literature for Suicide Prevention Interventions Initiated in Emergency Departments in the United States

Objective: Suicide is a leading cause of death around the world. In the United States, the suicide rate continues to increase with US Emergency Departments seeing over 500,000 suicide-related visits each year. Authors conducted a systematic literature review to determine the range of interventions administered in the ED. Methods: This is the first systematic literature review of this topic. The review is limited to studies conducted in Emergency Departments located in the United States with interventions that were initiated in the ED setting. Results: Of the 2,735 titles and abstracts identified, eight studies met the inclusion criteria. A narrow range of suicide prevention interventions are administered in the ED. Conclusions: Opportunities exist for additional types of suicide prevention interventions in the ED.
Investigating the mechanisms of air-water gas transfer by quantitative imaging techniques: history, current progress and remaining challenges

“On the open sea, the microlayer is almost inaccessible to direct physical measurements” [Hasse, 1997]. Indeed, classical mass balance techniques, which estimate mean transfer velocities over large spatial and temporal scales, are only suitable for a parametrization of the transfer process with the parameters controlling it [Jahne, 2009]. Direct insight into the mechanisms of air-water gas transfer, however, is given by techniques that provide a spatiotemporal quantitative imaging of all the parameters that determine the mass exchange process within the microlayer at the water surface [Sideman and Hijikata, 1993]. This includes the turbulent shear flow, concentration fields of dissolved gases, and the shape of the ocean surfaces undulated by wind-driven waves. At higher wind speeds, when waves are breaking, it is also required to visualise bubbles and droplets.
DLR HySU - A Benchmark Dataset for Spectral Unmixing

Spectral unmixing represents both an application per se and a pre-processing step for several applications involving data acquired by imaging spectrometers. However, there is still a lack of publicly available reference data sets suitable for the validation and comparison of different spectral unmixing methods. In this paper we introduce the DLR HyperSpectral Unmixing (DLR HySU) benchmark dataset, acquired over German Aerospace Center (DLR) premises in Oberpfaffenhofen. The dataset includes airborne hyperspectral and RGB imagery of targets of different materials and sizes, complemented by simultaneous ground-based reflectance measurements. The DLR HySU benchmark allows a separate assessment of all spectral unmixing main steps: dimensionality estimation, endmember extraction (with and without pure pixe assumption), and abundance estimation. Results obtained with traditional algorithms for each of these steps are reported. To the best of our knowledge, this is the first time that real imaging spectrometer data with accurately measured targets are made available for hyperspectral unmixing experiments. The DLR HySU benchmark dataset is openly available online and the community is welcome to use it for spectral unmixing and other applications.
Thermal-Treatment-Induced Enhancement in Effective Surface Area of Single-Walled Carbon Nanohorns for Supercapacitor Application

We investigated the importance of the specific effective surface area through a detailed study on the relationship between electrical conductivity of single-walled carbon nanohorns (SWCNHs) and accessibility of the electrolyte ions in the SWCNH-based supercapacitor. After heat treatment of the SWCNHs, the ratio of sp2/sp3 carbons dramatically increased, suggesting an enhanced electrical conductivity of the SWCNHs. Even though the specific surface area (SSA) slightly decreased by 16% as a result of heat treatment, the specific capacitance per SSA of the SWCNH electrode remarkably increased from 22 to 47 μF cm–2. Such a result indicates an explicit increase in accessible effective surface area by electrolyte ions. Our result clearly showed that a higher degree of utilization for the interstitial pore of SWCNHs by solvated ions is a key factor in achieving a high volumetric capacitance of SWCNH-based supercapacitors.
Dairy Food Consumption Is Associated with Reduced Risk of Heart Disease Mortality, but Not All-Cause and Cancer Mortality in US Adults

Previous evidence has linked animal protein intake, including dairy foods, with an increased risk in mortality from all-causes and certain chronic diseases, including cancer and heart disease. The objective of the current analysis was to examine associations between total dairy consumption with mortality from all-causes, cancer, and heart disease. Data for adults (≥19 y; n = 54,830) from the Third National Health and Nutrition Examination Survey (NHANES) and NHANES 1999–2014 were linked with mortality data through 2015. Individual usual intake for dairy foods were estimated using the National Cancer Institute method. Hazard ratio (HR) models were fit for mortality types (all cause, cancer, heart disease) and measures of usual intakes of dairy. Multivariable analysis further adjusted for age, gender, ethnicity, waist circumference, smoking status, education level, chronic condition status (i.e., based on cancer, myocardial infarct, and diabetes/diabetes medication reported), weight loss attempts, and % kcal from animal protein. No associations were seen between dairy food intake and mortality risk from all-causes [HR = 0.97; confidence intervals (CI): 0.85–1.11; p = 0.67], and cancer [HR = 0.95; CI: 0.75–1.20; p = 0.65] when comparing the lowest quartile to the highest quartile of consumption. Dairy food consumption was associated with a 26% reduced risk for heart disease mortality when comparing the lowest quartile to the highest quartile [HR = 0.74; CI: 0.54–1.01; p = 0.05]. Further analyses in different age groups showed that dairy food consumption was associated with 39% and 31% reduced risk for heart disease mortality in older adults 51–70 and ≥51 y, respectively [adults 51–70 y: HR = 0.61; CI: 0.41–0.91; p = 0.01; adults ≥51 y: HR = 0.69; CI: 0.54–0.89; p = 0.004]. These results contradict previous findings that have linked dairy foods to increased mortality risk. Further, dairy foods as part of a healthy dietary pattern, may help lower heart disease mortality risk.
GPR B-Scan Image Denoising via Multi-Scale Convolutional Autoencoder with Data Augmentation

Ground-penetrating radar (GPR), as a non-invasive instrument, has been widely used in civil engineering. In GPR B-scan images, there may exist random noise due to the influence of the environment and equipment hardware, which complicates the interpretability of the useful information. Many methods have been proposed to eliminate or suppress the random noise. However, the existing methods have an unsatisfactory denoising effect when the image is severely contaminated by random noise. This paper proposes a multi-scale convolutional autoencoder (MCAE) to denoise GPR data. At the same time, to solve the problem of training dataset insufficiency, we designed the data augmentation strategy, Wasserstein generative adversarial network (WGAN), to increase the training dataset of MCAE. Experimental results conducted on both simulated, generated, and field datasets demonstrated that the proposed scheme has promising performance for image denoising. In terms of three indexes: the peak signal-to-noise ratio (PSNR), the time cost, and the structural similarity index (SSIM), the proposed scheme can achieve better performance of random noise suppression compared with the state-of-the-art competing methods (e.g., CAE, BM3D, WNNM).