Miracle-dz/UniFAR-FTUs huggingface dataset:
Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment

Churn studies have been used for many years to increase profitability as well as to make customer-company relations sustainable. Ordinary artificial neural network (ANN) and convolution neural network (CNN) are widely used in churn analysis due to their ability to process large amounts of customer data. In this study, an ANN and a CNN model are proposed to predict whether customers in the retail industry will churn in the future. The models we propose were compared with many machine learning methods that are frequently used in churn prediction studies. The results of the models were compared via accuracy classification tools, which are precision, recall, and AUC. The results showed that the CNN model produced a 97.62% of accuracy rate which resulted in a better classification and prediction success than other compared models
3D culturing of human pluripotent stem cells-derived endothelial cells for vascular regeneration

Rationale: Human induced pluripotent stem cell-derived endothelial cells can be candidates for engineering therapeutic vascular grafts. Methods: Here, we studied the role of three-dimensional culture on their characteristics and function both in vitro and in vivo. Results: We found that differentiated hPSC-EC can re-populate decellularized biomatrices; they remain viable, undergo maturation and arterial/venous specification. Human PSC-EC develop antifibrotic, vasoactive and anti-inflammatory properties during recellularization. In vivo, a robust increase in perfusion was detected at the engraftment sites after subcutaneous implantation of an hPSC-EC-laden hydrogel in rats. Histology confirmed survival and formation of capillary-like structures, suggesting the incorporation of hPSC-EC into host microvasculature. In a canine model, hiPSC-EC-seeded onto decellularised vascular segments were functional as aortic grafts. Similarly, we showed the retention and maturation of hiPSC-EC and dynamic remodelling of the vessel wall with good maintenance of vascular patency. Conclusions: A combination of hPSC-EC and biomatrices may be a promising approach to repair ischemic tissues.
Efficacy of Catheter Ablation for Persistent Atrial Fibrillation: A Systematic Review and Meta-Analysis of Evidence From Randomized and Nonrandomized Controlled Trials

Background—Catheter ablation (CA) is commonly performed for persistent atrial fibrillation, but few high-quality randomized controlled trials (RCTs) exist, leading to funding restrictions being proposed in several countries. We performed a random-effects meta-analysis of RCTs and non-RCTs to assess the efficacy of CA for persistent atrial fibrillation. Methods and Results—We systematically searched PubMed, EMBASE, CENTRAL, OpenGrey, and clinicaltrials.gov for RCTs and non-RCTs reporting clinical outcomes after CA for persistent atrial fibrillation. Forty-six eligible studies were identified containing 3819 patients. After a single procedure, CA significantly reduced the risk of recurrent atrial fibrillation compared with medical therapy (odds ratio [OR], 0.32; 95% confidence interval [CI], 0.20–0.53; P<0.001). Outcomes were better if the pulmonary veins were encircled (OR, 0.26; 95% CI, 0.09–0.74; P=0.01), and electrical isolation reduced AF recurrence compared with purely anatomic encirclement (OR, 0.33; 95% CI, 0.13–0.86; P=0.02). Linear ablation within the left atrium (OR, 0.22; 95% CI, 0.10–0.49; P<0.001), but not complex fractionated atrial electrogram ablation (OR, 0.64; 95% CI, 0.35–1.18; P=0.15), significantly reduced AF recurrence. Results were not improved by performing more extensive linear lesion sets (OR, 0.77; 95% CI, 0.41–1.43; P=0.40) or from biatrial ablation (OR, 0.62; 95% CI, 0.31–1.24; P=0.17). Where data were available, the relative benefits seen held true both after a single or multiple procedure(s). Sensitivity analyses showed that inclusion of non-RCTs increased statistical power without biasing the calculated effect sizes. Conclusions—For patients with persistent atrial fibrillation, CA achieves significantly greater freedom from recurrent atrial fibrillation compared with medical therapy. The most efficacious strategy is likely to combine isolation of the pulmonary veins with limited linear ablation within the left atrium.
EXPLORING STUDENTS' COGNITIVE PROCESSES IN SOLVING NUMERACY TASK OF GEOMETRY AND MEASUREMENT REVIEWED BY MATHEMATICAL ABILITY

This study aims to analyze how the cognitive processes of high school students in terms of their mathematical abilities in solving the Minimum Competency Assessment Numeracy problems related to Geometry and Measurement. Problems were given to three 10th science students with categories of high, medium, and low mathematical ability. Data on the results of the subject's work were analyzed based on the cognitive processes stage, namely the stage of Comprehending linguistic and numerical information in the problem; 2) Translating and transforming that information into mathematical notations, algorithms, and equations; 3) Observing relationships among the elements of the problem; 4) Formulating a plan to solve the problem; 5) Predicting outcome; 6) Regulating the solution path as it is executed; 7) Detecting and correcting errors during problem solution which is then followed by in-depth interviews. The results showed that students with high mathematical abilities went through all stages of the cognitive process quite coherently and completely. While students with moderate abilities went through the stage of understanding information to the calculation stage of planning, but there were some errors and corrections in finding solutions. Meanwhile, students with low abilities had not been able to show the stages of cognitive processes in a coherent manner so that many stages were interrupted and had to return to the stage of understanding the problem. Based on these results, it is hoped that learning for the preparation of the Minimum Competency Assessment for Geometry and Measurement material can be emphasized more and so that the understanding of information on students' problems can continue the completion stage according to the solution plan that they have made. Keywords: Cognitive Processes, Numeracy, Geometry and Measurement.
School Educators’ Use of Research: Findings from Two Large-Scale Australian Studies

ABSTRACT Increasingly, there are expectations internationally that schools will use research to inform their improvement initiatives. Within this context, this paper brings together findings from two large-scale Australian studies – the Monash Q Project and the University of Newcastle’s Quality Teaching Rounds Project – to explore educators’ patterns of engagement with research. The combination of these studies provides data from a larger and more diverse sample (n = 774) than other recent Australian studies, and integrates insights from direct and indirect approaches to investigating educators’ research engagement. The analysis highlights several common themes associated with educators’ research use including: the perceived credibility of different sources; the relevance and usability of research; and affordances of access to research and time to use it well in practice. Newer and more nuanced insights include: the interrelationships between collaborative and directed research use; the need for research to be convenient in terms of access and usability; the role of trusted colleagues in helping to bridge gaps between research and practice; and educators’ distrust of research itself. The paper argues that these insights provide important cues as to how systems and school leaders can help educators to increase and improve their use of research in practice.
An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial

Using m-Health apps can provide researchers and others with an effective way for improving physical activity (PA) and healthy lifestyle behaviors. The promotion of health should move from a model focused on the physical and biological basis of illness and towards a focus on the behavioral changes that support health. Therefore, the aims of the current study were to improve PA (step-counts) and body weight using a theory-based m-Health app. A 12-week randomized treatment trial was carried out at Texas A&M University, Texas, college station. College students (n = 130) were recruited. They were randomized in an equal ratio of 1:1 to intervention (m-Health app) (n = 65) and control (n = 65) conditions. The response rate was (87.6%). Both groups utilized a Smartphone app. The intervention group received PA goals of (10,000 steps/day), using an m-Health app. The control group was provided with information related to daily recommended PA levels. The primary change was daily step count between the baseline and follow-up. The secondary outcome was the body mass index (BMI). Descriptive statistics were used to summarize the baseline differences between the control and intervention groups. Independent sample t-test were used for comparison between the intervention and control groups. Post-intervention PAs were higher for the intervention group (mean = 54,896.) vs. control group (mean = 45,530.12; p < 0.05). The intervention group’s step-counts increased significantly (pre-mean = 40,320.38 steps per week; post-mean = 54,896.27 steps per week, p < 0.05). The body-weight changes were significant among the intervention group (p < 0.05). m-Health apps can increase PA and improve body weight, with goal setting and feedback as key intervention components. Future studies should personalize PA goals and feedback.
The Mechanism of Dynamic Interaction between Doxorubicin and Calf Thymus DNA at the Single-Molecule Level Based on Confocal Raman Spectroscopy

It is of great fundamental significance and practical application to understand the binding sites and dynamic process of the interaction between doxorubicin (DOX) and DNA molecules. Based on the Confocal Raman spectroscopy, the interaction between DOX and calf thymus DNA has been systemically investigated, and some meaningful findings have been found. DOX molecules can not only interact with all four bases of DNA molecules, i.e., adenine, thymine, cytosine, guanine, and phosphate, but also affect the DNA conformation. Meanwhile, the binding site of DOX and its derivatives such as daunorubicin and epirubicin is certain. Furthermore, the interaction between DOX and DNA molecules is a dynamic process since the intensities of each characteristic peaks of the base, e.g., adenine, cytosine, and phosphate, are all regularly changed with the interaction time. Finally, a dynamic mechanism model of the interaction between DOX and DNA molecules is proposed; that is, there are two kinds of interaction between DOX and DNA molecules: DOX-DNA acts to form a complex, and DOX-DOX acts to form a multimer. The two effects are competitive, as the former compresses DNA molecules, and the latter decompresses these DNA molecules. This work is helpful for accurately understanding and developing new drugs and pathways to improve and treat DOX-induced cytotoxicity and cardiotoxicity.
Untangling the physical components of galaxies using infrared spectra

The two main physical processes that underpin galaxy evolution are star formation and accretion of mass in active galactic nuclei (AGN). Understanding how contributions from these processes vary across cosmic time requires untangling their relative contributions. The infrared part of the electromagnetic spectrum contains a number of AGN and star formation diagnostics e.g. emission lines from ionised gas or polyaromatic hydrocarbons (PAHs), and the shape of the continuum. Despite the higher resolution of data from Spitzer’s IRS spectrograph, separating out emission from star formation and AGN is carried out using limited spectral features or simplistic templates. In the first part of this thesis, I show how sophisticated data analysis techniques can make full use of the wealth of spectral data. I demonstrate how the popular multivariate technique, Principal Component Analysis (PCA), can classify different types of ultra luminous infrared galaxies (ULIRGs), whilst providing a simple set of spectral components that provide better fits than state-of-the art radiative transfer models. I show how an alternative multivariate technique, Non-Negative Matrix Factorisation (NMF) is more appropriate by applying it to over 700 extragalactic spectra from the CASSIS database and demonstrating its capability in producing spectral components that are physically intuitive, allowing the processes of star formation and AGN activity to be clearly untangled. Finally, I show how rotational transition lines from carbon monoxide and water, observed by the Herschel Space Observatory, provides constraints on the physical conditions within galaxies. By coupling the radiative transfer code, RADEX, with the nested sampling routine, Multinest, I carry out Bayesian inference on the CO spectral line energy distribution ladder of the nearby starburst galaxy, IC342. I also show that water emission lines provide important constraints the conditions of the ISM of on one of the most distant starburst galaxies ever detected, HFLS3.
The efficacy of Aeromonas hydrophila GPl-04 feed-based vaccine on African catfish (Clarias gariepinus)

Abstract. Mulia DS, Utomo T, Isnansetyo A. 2022. The efficacy of Aeromonas hydrophila GPl-04 feed-based vaccine on African catfish (Clarias gariepinus). Biodiversitas 23: 1505-1510. Aeromonas hydrophila is a pathogenic bacterium to African catfish (Clarias gariepinus). Vaccination is one of the strategic efforts to control this type of bacterial attack. The objective of this study was to determine the effectiveness of A. hydrophila GPl-04 feed-based vaccine for African catfish. This study used A. hydrophila GPl-04 strain isolate as vaccine material. Sample used was African catfish measuring 10-13 cm length, weighing 16-25 g, taken from aquaculture ponds in the Purbalingga area, Central Java, Indonesia. This study applied experiments under the completely randomized design (CRD) method with 5 treatments and 3 replications. The treatments consisted of P0: feed without vaccine (control); P1: feed with 10 mL/100 g dose of vaccine given for 10 days; P2: feed with 10 mL/100 g dose of vaccine given for 15 days; P3: feed with 15 mL/ 100 g dose of vaccine given for 10 days; and P4: feed with 15 mL/ 100 g dose of vaccine given for 15 days. The challenge test was carried out on week 3, by injecting 0.1 mL of A. hydrophila suspension at 105CFU/mL dose per fish. The main parameters included the fish antibody titer, survival rate (SR), relative percent survival (RPS), mean time to death (MTD), and growth rate. Supporting parameters included water quality such as water temperature, water pH, and dissolved O2 levels. The main parameter data were analyzed using analysis of variance (ANOVA) and Duncan multiple range test (DMRT) at 5% test level, and the supporting parameter was descriptively quantitative analyzed. The results showed A. hydrophila GPl-04 feed-based vaccine could increase antibody titer, SR, RPS, and MTD of African catfish (P<0.05). In addition, vaccination did not adversely affect the growth. The A. hydrophila GPl-04 feed-based vaccine was effective in protecting African catfish from A. hydrophila attack where 10 mL/100 g dose, given for 10 days (P1) was indicated as the most effective compared to other vaccination treatments.
Determining Factors Affecting the Users’ Participation of Online Health Communities: An Integrated Framework of Social Capital and Social Support

As the national awareness of health keeps deepening, online health communities (OHCs) have achieved rapid development. Users’ participation is critically important to the sustainable development of OHCs. Nevertheless, users usually lack the motive for participation. Based on the social capital theory, this research examines factors influencing users’ participation in OHCs. The purpose of this research is to find out decisive factors that influence users’ participation in OHCs, enrich the understanding of users’ participation in OHCs, and help OHCs address the issue of sustainable development. The research model was empirically tested using 1277 responses from an online survey conducted in China. Data was analyzed using the structural equation modeling (SEM). We found informational support and emotional support to have significant direct effects over the structural capital, relational capital and cognitive capital of OHCs. Meanwhile, it is observed that relational capital and cognitive capital degree have a significant influence on knowledge acquisition and knowledge contribution of OHCs. For researchers this study provides a basis for further refinement of individual models of users’ participation. For practitioners, understanding the social capital is crucial to users’ knowledge acquisition and knowledge contribution that achieve high participation in OHCs.
Liquidity, Profitability and Asset Growth towards the Dividend Payout Ratio

The purpose of this study is to determine the factors that influence the distribution of dividends in Indonesia. The objects of this research are 51 manufacturing companies listed on the Indonesia Stock Exchange for the 2015-2019 period. The method used is balanced panel data with random effects model. The results of this study are return on equity, cash flow, growth, and market to book value have a significant effect on the dividend payout ratio. While the variables of tax, current ratio, and institutional holding have no effect on the dividend payout ratio. The combination of financial ratios, cash flow, taxes, and institutional holding gives a new combination to this research. The contribution of this research is showed the fact that cash flow has a bigger role than profitability, while the sales will increase growth and stock prices will also increase thereby increasing dividend payments.
Panstrongylusnoireaui, a remarkable new species of Triatominae (Hemiptera, Reduviidae) from Bolivia

﻿Abstract Panstrongylusnoireauisp. nov. from Bolivia is described based on male and female specimens. Although morphologically almost indistinguishable from Panstrongylusrufotuberculatus (Champion, 1899), the new species shows remarkable chromosome and molecular features, which are very distinctive among all others Panstrongylus species. The new species is also separated by some characteristics of the processes of the endosoma of the male genitalia. An updated key for species of Panstrongylus is provided.
Invigorating the hospitality industry: What is the impact of psychological contract and psychological capital on employee commitment?

Orientation: The coronavirus disease 2019 (COVID-19) pandemic has impacted all industries on a global scale. Specifically, the hospitality industry, being one of the largest industries in the world, has been affected by the decline in all forms of travel and tourism because of lockdown regulations instituted by governments. Research purpose: In recovering from the devastating impact of COVID-19, it is imperative that the hospitality industry retains committed employees to revitalise and rebuild the industry. Motivation for the study: The study reports on the impact of psychological contract and psychological capital on employee commitment within accommodation establishments. Research design, approach and method: The study followed a quantitative research approach and a survey as data collection method. A structured questionnaire was administered to nine graded accommodation establishments in the two main economic hubs of the Free State province, namely Bloemfontein and Clarens. Data were analysed by partial least squares structural equation modelling (PLS-SEM). Main findings: The results revealed that psychological contract has a statistically significant relationship with employee commitment. There was also a statistically significant relationship recorded between optimism and employee commitment, but no statistically significant relationships between hope, self-efficacy, resilience and employee commitment. Practical/managerial implications: Rational contracts have the highest predictive power towards employee commitment. This emphasises the importance of developing and maintaining constructive relationships in accommodation establishments. Contribution/value-add: The study was conducted during COVID-19, and thus, provides insight into the impact of psychological contract and psychological capital on employee commitment during the time of crisis and disruption. © 2022. The Authors. Licensee: AOSIS.
Towards Optimizing Garlic Combine Harvester Design with Logistic Regression

In this paper, a garlic combine harvester machine was designed and some influential parameters of the machine were optimized. The working parts of the machine mainly consisted of a reel, a reciprocating cutter, a seedling conveyor, a profiling depth-stop device, a digging shovel and a lifting chain. Each part had unique structural parameters and motion parameters, as different parameters would deeply affect the performance of the machine. A logistical regression algorithm was utilized to analyze the working speed of the reel, the digging depth of the reciprocating cutter and the lifting speed of the lifting chain. This paper also discussed the influence of these three functions on the damage rate based on the collected data when harvesting garlic. Specifically, each function was tested 60 times for collecting data. The experimental results showed that the order of influence of the three functions on the damage rate was the digging depth, working speed and lifting speed. Moreover, the lowest damage rate was 0.18% when the digging depth was 100 mm, the working speed was 1.05 km·h−1 and the lifting speed was 0.69 m·s−1. A validation test was taken out based on the three functions of the analysis results, and the damage rate was 0.83%, which was close to the analysis results, and proved that the analysis results were accurate and meaningful. The research results are beneficial to the development and application of the garlic combine harvester.