Miracle-dz/UniFAR-FTUs huggingface dataset:
HERD BEHAVIOR AND INFORMATION ADOPTION BY THE INSURANCE BUYERS: EVIDENCE FROM AN EMERGING ECONOMY

Most of the literature on insurance buying behavior explains the phenomenon by considering the traditional determinants of risk and return. This paper aims to investigate the role of reviews by insurance policyholders in influencing others to adopt a specific life insurance policy. Data from 271 insurance buyers were collected using a questionnaire specifically developed for this study. The questionnaire was developed using recognized scales. The information adoption by the insurance buyers has been explained through the theoretical lens of the information adoption model and herding. The proposed model was estimated using Structural Equation Modelling Technique. The results indicated that the information usefulness mediates the effects of argument quality and source credibility on information adoption by the insurance buyers. The results also showed that herding mediates the impact of source credibility on information adoption but attitude homophily and background homophily have no role in mobilizing information adoption. This study has implications for academicians and insurance policymakers. This study is the first of its kind that investigates insurance adoption from the perspective of central and peripheral routes of information processing path and herding. It also contributes by examining the mediating role of information usefulness and herding in explaining the process of insurance adoption.
Shallow shell models by Gamma convergence

In this paper we derive, by means of $\Gamma$-convergence, the shallow shell models starting from non linear three dimensional elasticity. We use the approach analogous to the one for shells and plates. We start from the minimization formulation of the general three dimensional elastic body which is subjected to normal volume forces and free boundary conditions and do not presuppose any constitutional behavior. To derive the model we need to propose how is the order of magnitudes of the external loads related to the thickness of the body $h$ as well as the order of the "geometry" of the shallow shell. We analyze the situation when the external normal forces are of order $h^\alpha$, where $\alpha>2$. For $\alpha=3$ we obtain the Marguerre-von K\'{a}rm\'{a}n model and for $\alpha>3$ the linearized Marguerre-von K\'{a}rm\'{a}n model. For $\alpha \in (2,3)$ we are able to obtain only the lower bound for the $\Gamma$-limit. This is analogous to the recent results for the ordinary shell models.
Use of acupressure to reduce nausea and vomiting in cancer patients receiving chemotherapy (literature study)

Nausea and vomiting are distressing and serious problems for cancer patients receiving chemotherapy despite the fact that they are receiving antiemetics ac-cording to the standard guidelines which this problem is a huge challenge to nurses involved in cancer care. Purpose: To explore and assess the effectiveness of using acupressure as a non-pharmacological intervention in addition to pharmacological interventions in reducing nausea and vomiting in cancer patients receiving chemotherapy. Method: A literature review was conducted of 8 articles published between 2006 and 2014. These included one study of a randomized, double-blind, placebo controlled trial; one quasi-experimental model with a control group; four articles reporting on randomized control trials (RCTs); one systematic review study; and one review study. Key Findings: Seven of the articles we read supported the effect of an acupressure P6 Wristband in reducing chemotherapy induced nausea and vomiting in cancer patients and other databases also supported that finding. The one article with neutral results showed that there was no difference between a combination of acupuncture and acupressure treatment at P6 and at the sham point for the nausea score, but the level of nausea was very low in both groups. Conclusion: We conclude that the acupressure P6 wrist band when applied to acupuncture point P6 is effective, safe, convenient, cost effective, and provides an easy, self-administrated, non-pharmacological intervention that can be used to reduce chemotherapy induced nausea and vomiting. Nausea Vomiting, Cancer Chemotherapy-induced nausea and vomiting, Acupressure as
Transcranial Doppler Ultrasound for Monitoring the Cerebral Hemodynamic Changes and Prognosticating Outcomes in Venoarterial Extracorporeal Membrane-Oxygenated Patients

Objective Patients receiving venoarterial extracorporeal membrane oxygenation (VA-ECMO) support may have cerebral hemodynamic changes whose impact on patient outcome are not fully elucidated. This study aims to evaluate the correlation between cerebral hemodynamic changes and prognostic outcome in patients during VA-ECMO. Methods Transcranial Doppler (TCD) ultrasound examination was performed to attain the systolic velocity (Vs), diastolic velocity (Vd), mean velocity (Vm), and pulsatility index (PI) of patients undergoing VA-ECMO. Cardiac ultrasound was also performed to assess the correlation between the left ventricular outflow tract velocity time integral (LVOT VTI), left ventricular ejection fraction (LVEF), and middle cerebral artery (MCA) with the systolic peak. Moreover, we assessed the predictive value of LVOT VTI and LVEF in patients with the systolic peak. Patients were divided into survival and death groups according to the 28-day survival period. Clinical data were compared between the two groups to investigate the effects of cerebral hemodynamic changes on the prognosis of VA-ECMO patients. Results We found that the patient's LVOT VTI and LVEF had high predictive values for the systolic peak of the right middle cerebral artery. The initial LVEF, Vs, Vd and PI, and lactate level as well as the MODS incidence rate difference were significantly different between the survival and death groups. In addition, the results showed that the initial Vs value was an independent risk factor for the prognosis of patients undergoing VA-ECMO. Conclusions Cerebral hemodynamic changes may occur in patients supported by VA-ECMO. In addition, a poor cerebral arterial pulsatile blood flow was closely correlated with an unfavorable outcome in these patients.
IMPLEMENTATION OF THE TREFFINGER MODEL BASED STEM APPROACH TO STUDENTS’ CREATIVE THINKING SKILL

Creative thinking can encourage students to solve problem. Learning Treffinger model provides opportunities for students to understand the concept through the process of solving problems creatively. The approach used to support this model is STEM approach. STEM learning that encourages increased thinking skills creative. This research aims to determine the implementation learning with the STEM-based Treffinger model, the application of the Treffinger model based STEM on creative thinking skills, and factors that affect learning. This research uses an approach quantitative and using Quasi Experiment with the Posttest-only Design with Noneequivalent Group. Population that used are students of class VIII at SMP Ma'arif 1 Ponorogo total of 84 students. The reseach sample from control class was 28 students and from the experimental class a total of 29 students. Data analysis techniques that used are independent test sample t test. Based on the data analysis, it was found that (1) implementation of the Treffinger model learning based on STEM is carried out very well, (2) the ability to think creatively in the class that applies the model STEM-based Treffinger is better than non-implemented the model, (3) the teacher's ability to deliver the subject matter and students who play an active role have an important role in the implementation conducive learning.
Modeling typical performance measures

In the educational, employment, and clinical context, attitude and personality inventories are used to measure typical performance traits. Statistical models are applied to obtain latent trait estimates. Often the same statistical models as the models used in maximum performance measurement are applied to typical performance measures. However, different models might be better applicable to describe these typical performance measures. In this dissertation the modeling of two systematic features in the typical performance domain is discussed; 1. the factor structure of typical performance measures, and 2.response processes to typical performance measures. In the first part of the dissertation complex multidimensional models (e.g. bifactor model, non-hierarchical multidimensional model, second-order model) are investigated to describe the factor structure of both a personality inventory and an attitude inventory. In the second part of this dissertation the applicability of different response models, dominance IRT models and unfolding IRT models, to describe the response processes on two personality inventories is compared. In the next chapters an already existing unfolding IRT model, the generalized graded unfolding model (GGUM) is compared to three newly developed alternatives, the collapsed generalized partial credit model (CGPCM), the collapsed graded response model (CGRM) and the quadratic logistic regression model (QLOG) and the statistical fit of the models is investigated. Both person fit (constancy of theta statistic and tendency to agree statistic) and item fit (Differential item functioning and shape of item characteristic curve statistic) are investigated by fit statistics that are developed based on the Lagrange Multiplier (LM) test. In general, it was found that it is important to not simply apply models that are used in maximum performance measurement to typical performance measurement. To investigate the dimensionality structure it is important to take both general and specific factors into account. Furthermore it is reasonable to expect that responses to typical performance measures follow an ideal-point response process. Four unfolding IRT models and methods to assess the statistical fit of the models were introduced.
Polish groupoids and functorial complexity

We introduce and study the notion of functorial Borel complexity for Polish groupoids. Such a notion aims at measuring the complexity of classifying the objects of a category in a constructive and functorial way. In the particular case of principal groupoids such a notion coincide with the usual Borel complexity of equivalence relations. Our main result is that on one hand for Polish groupoids with essentially treeable orbit equivalence relation, functorial Borel complexity coincides with the Borel complexity of the associated orbit equivalence relation. On the other hand for every countable equivalence relation $E$ that is not treeable there are Polish groupoids with different functorial Borel complexity both having $E$ as orbit equivalence relation. In order to obtain such a conclusion we generalize some fundamental results about the descriptive set theory of Polish group actions to actions of Polish groupoids, answering a question of Arlan Ramsay. These include the Becker-Kechris results on Polishability of Borel $% G $-spaces, existence of universal Borel $G$-spaces, and characterization of Borel $G$-spaces with Borel orbit equivalence relations.
Association Between NLR and NAFLD in Adults Exposed to Famine in Early Life

Aim Exposure to famine in early life has been shown to increase the prevalence of non-alcoholic fatty liver disease (NAFLD). Neutrophil-to-lymphocyte ratio (NLR) is a risk factor for developing NAFLD. However, it is not clear that the association between NLR and NAFLD in individuals who were exposed to famine in early life. Methods To match for age, we selected two group populations from Xuzhou city, China, on two different occasions, 2013 and 2017. The group recruited in 2013 included participants who were born during a period of great famine in China. Participants in the another group recruited in 2017 were born between 1965 and 1968. Clinical characteristics of individuals as well as serology indexes were examined for all participants. Ultrasonography to diagnose NAFLD was performed by trained doctors. A total of 10,574 participants were included in the final analysis. Results Individuals born during the famine period have a higher NAFLD prevalence than those who had not been exposed to famine and these findings were similar for both sexes (male: 57.6% vs 48.9%, female: 47.6% vs 40.3%). The prevalence of NAFLD according to NLR quartiles in those exposed to famine was 49.5%, 52.7%, 52.9% and 55.5% for Q1, Q2, Q3 and Q4 NLR, respectively, and was higher than that in non-exposed to famine group. After adjusting for age, BMI, and other metabolic variables, the association between NLR and NAFLD disappeared in the non-famine group. The non-linear relationship between NLR and NAFLD was found in those who had been exposed to famine. Conclusion Individuals who were exposed to famine in early life have a higher prevalence of NAFLD than those who were not exposed. Compared with lower NLR levels, elevated NLR is a risk factor for developing NAFLD. However, there is a non-linear relationship between NLR and the risk of developing NAFLD.
The actuator cell model for the Darrieus wind turbine

Development of existing and innovative aerodynamic models for the Darrieus wind turbine has become very popular in recent years. Since research in the field of aerodynamics of the Darrieus concept is very limited, the development of simplified aerodynamic methods is very difficult. Therefore, the major objective of the present study is to present the concept of a new aerodynamic model for the Darrieus wind turbine – the actuator cell model (ACM). Aerodynamic loads are added to the unsteady incompressible Navier-Stokes equations as momentum source terms. The source terms are computed basing on instantaneous aerodynamic forces taken from the literature. The numerical results of wake structure computed by ACM are compared with the experimental data. Agreement between the numerical results of velocity profiles and the experimental data is reasonably good.
Who is More Likely to Report Medical Insurance Fraud in the Two Scenarios of Whether It Results in a Direct Loss of Individual Benefit? A Cross-Sectional Survey in China

Purpose An individual’s willingness to report is largely related to whether he or she is a direct victim. This study takes two scenarios of whether medical insurance fraud results in a direct loss of personal benefit and explores the differences in individuals’ willingness to report and influencing factors in the two scenarios. Methods In this study, questionnaires were used and participants were selected from 571 individuals in eastern, central, and western China. Analysis was performed using descriptive statistics and logistic regression models. Results 51.0% of individuals were willing to report when no direct loss of personal benefit was caused, and conversely, 78.3% of individuals were willing to report when direct loss of personal benefit was caused. The factors influencing the attitude dimension of individuals toward whistleblowing behavior were consistent in the two scenarios. In contrast, there were significant differences among the influences in the perceived behavioral control, consequence perception, and subjective norm dimensions. Conclusion There were significant differences in the willingness of individuals to report medical insurance fraud and the factors influencing it in both scenarios. The most significantly influencing factor difference was perceived behavioral control, a dimension that had an effect only when it did not result in a direct loss of personal benefit. When an individual’s direct interests are at stake, the individual’s fear for his or her safety is not a deterrent to his or her willingness to report. And when there is no loss of direct personal benefit, individuals care more about government measures to protect whistleblowers. There are differences in the subjects that influence individuals’ willingness to report in the two scenarios. The factors influencing the attitude dimension are the same in both scenarios, and the more supportive the attitude toward the whistleblower, the stronger the individual’s willingness to report will be.
Relationship Between the Computed Tomographic Volumetry of the Eyeballs and Lacrimal Glands in a Nigerian Population

Aim: The aim of this article was to obtain measurements of the eyeballs/globes and lacrimal glands in normal subjects using cranial computed tomography (CT) scan. Understanding the normative approximations of these measurements could help in diagnosing and evaluating orbito-ocular pathologies. Materials and Methods: This retrospective study examined 220 globes/eyeballs and 220 lacrimal glands of 110 consecutive participants. The eyeball volume was calculated using both the ellipsoid and spherical formulas, whereas lacrimal gland volume was approximated using the ellipsoid formula only. Results: The mean age of the subjects was 51.18 ± 14.85 years and ranged from 22 to 85 years. The study population was 53.6% male (n = 59) and 46.3% female (n = 51). The mean volumes of all globes in this study were 5.82 ± 0.77 and 5.98 ± 0.75 cm3 using the ellipsoid and spherical formulae, respectively. The mean volume of all lacrimal glands was 0.42 ± 0.14 cm3 using the ellipsoid formula. The mean globe volumes using the ellipsoid and spherical formulae (6.02 ± 0.84 and 6.02 ± 0.84 cm3) in males were significantly larger than the corresponding mean globe volumes in females (5.59 ± 0.62 and 5.80 ± 0.65 cm3) (P < 0.0001 and P = 0.001, respectively). There was no significant difference between the lacrimal gland volumes of males (0.42 ± 0.14 cm3) and females (0.42 ± 0.14 cm3) (P = 0.84). Conclusion: Males have larger eyeball/globe volumes than females. Eyeball and lacrimal gland volumes did not correlate significantly. Eyeball volume showed an inverse relationship with age. Age did not affect lacrimal gland volume.
Acute injection‐related infections requiring hospitalisation among people who inject drugs: Clinical features, microbiology and management

Abstract Introduction People who inject drugs are at risk of hospitalisation with injection‐related infections (IRI). We audited the clinical features, microbiology and management of IRI at a tertiary service in Melbourne to describe the burden and identify quality improvement opportunities. Methods We performed retrospective review of IRI admissions from January 2017 to April 2019. We extracted admissions where ICD‐10 codes or triage text suggested injecting drug use, and the diagnosis suggested IRI. We reviewed these for eligibility and extracted data using a standardised form. We performed mixed‐effects logistic regression to determine predictors of unplanned discharge. Results From 574 extracted candidate admissions, 226 were eligible, representing 178 patients. Median age was 41 years (interquartile range 36–47), 66% (117/178) male and 49% (111/226) had unstable housing. Over 50% (96/178) had a psychiatric diagnosis and 35% (62/178) were on opioid agonist therapy (OAT) on admission. Skin and soft tissue infection was the most common IRI (119/205, 58%), followed by bacteraemia (36/205, 18%) and endocarditis (26/205, 13%). Management included addictions review (143/226, 63%), blood‐borne virus screening (115/226, 51%), surgery (77/226, 34%) and OAT commencement (68/226, 30%). Aggression events (54/226, 15%) and unplanned discharge (69/226, 30%) complicated some admissions. Opioid use without OAT was associated with almost 3‐fold increased odds of unplanned discharge compared to no opioid use (odds ratio 2.90, 95% confidence interval 1.23, 6.85, p = 0.015). Discussion and Conclusion Comorbidities associated with IRI may be amenable to opportunistic intervention during hospitalisation. Further research is needed to develop optimal models of care for this vulnerable patient group.
Tidal Level Prediction Using Combined Methods of Harmonic Analysis and Deep Neural Networks in Southern Coastline of Iran

Abstract Predicting tides and water levels had always been such an important topic for researchers and professionals since the study of tidal level has pivotal role in supporting marine economy, port construction projects and maritime transportation. Tidal water levels are a combination of astronomical (deterministic part) and non-astronomical (stochastic part) water levels. In this study, we combined Harmonic Analysis (HA) with three Deep Neural Networks (DNNs), namely the Long-Short Term Memory (LSTM), Convolution Neural Network (CNN), and Multilayer Perceptron (MLP). The HA method is used for predicting the astronomical components, while DNNs are used to predict the non-astronomical water level. We have used tide gauge data from three stations along the southern coastline of Iran to demonstrate the effectiveness and accuracy of our model. We utilized RMSE, MAE, R2 (r-squared), and MAPE to evaluate the performance of the model. Finally, The LSTM network shown superior performance in most of the cases, although other networks also show good results. All three DNNs have R2 of 0.99, and the RMSE, MAE, and MAPE indicate that errors are low.
Survey of Blindness in Saki East, Oyo State, Nigeria

Background: This survey was undertaken in a rural local government area (LGA) where eye care services recently commenced, with no known previous data on blindness or visual impairment. Aim and Objectives: The aim was to generate evidence for further planning and monitoring of the on-going eye care program. The objectives included determination of the prevalence of blindness and visual impairment, causes of blindness and visual impairment, and assessment of cataract services and barriers to cataract surgery uptake. Materials and Methods: This was a cross-sectional observational study. A population-based rapid assessment of avoidable blindness (RAAB) was undertaken among eligible individuals, aged 50 years and above, who were residents of Saki East LGA. A three-stage cluster sampling technique with probability proportional to size was employed to recruit 1100 respondents. Field data were analysed using the RAAB 5 computer software package. Results: The age- and sex-adjusted prevalence of blindness was 1.7% (95% confidence interval: 0.1–3.3). Cataract was the commonest cause of blindness (37.8%) and severe visual impairment (56.3%), whereas refractive error was the leading cause of moderate visual impairment (68.3%). The prevalence of blindness significantly increased with age (χ2= 38.01, P = 0.000). Avoidable conditions were responsible for 94.6% of the blindness. Conclusion: The burden of blindness and visual impairment in the survey area is significant, with more than 90% due to avoidable causes. Cataract, glaucoma, and uncorrected refractive error were important causes needing urgent attention.
DHF Incidence Rate Prediction Based on Spatial-Time with Random Forest Extended Features

This study proposes a prediction of the classification of the spread of dengue hemorrhagic fever (DHF) with the expansion of the Random Forest (RF) feature based on spatial time. The RF classification model was developed by extending the features based on the previous 2 to 4 years. The three best RF models were obtained with an accuracy of 97%, 93%, and 93%, respectively. Meanwhile, the best kriging model was obtained with an RMSE value of 0.762 for 2022, 0.996 for 2023, and 0.953 for 2024. This model produced a prediction of the classification of dengue incidence rates (IR) with a distribution of 33% medium class and 67% high class for 2022. 2023, the medium class is predicted to decrease by 6% and cause an increase in the high class to 73%. Meanwhile, in 2024, it is predicted that there will be an increase of 10% for the medium class from 27% to 37% and the distribution of the high class is predicted to be around 63%. The contribution of this research is to provide predictive information on the classification of the spread of DHF in the Bandung area for three years with the expansion of features based on time.