Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical Properties and In Vitro Biocompatibility of Hybrid Polymer-HA/BAG Ceramic Dental Materials

The aim of this study is to prepare hybrid polymer–ceramic dental materials for chairside computer-aided design/computer-aided manufacturing (CAD/CAM) applications. The hybrid polymer–ceramic materials were fabricated via infiltrating polymerizable monomer mixtures into sintered hydroxyapatite/bioactive glass (HA/BAG) ceramic blocks and thermo-curing. The microstructure was observed by scanning electron microscopy and an energy-dispersive spectrometer. The phase structure was analyzed by X-ray diffraction. The composition ratio was analyzed by a thermogravimetric analyzer. The hardness was measured by a Vickers hardness tester. The flexural strength, flexural modulus, and compressive strength were measured and calculated by a universal testing machine. The growth of human gingival fibroblasts was evaluated by a 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT) colorimetric assay and immunofluorescence staining. The results showed that the sintering temperature and BAG content affected the mechanical properties of the hybrid polymer–ceramic materials. The X-ray diffraction analysis showed that high-temperature sintering promoted the partial conversion of HA to β-tricalcium phosphate. The values of the hardness, flexural strength, flexural modulus, and compressive strength of all the hybrid polymer–ceramic materials were 0.89–3.51 GPa, 57.61–118.05 MPa, 20.26–39.77 GPa, and 60.36–390.46 MPa, respectively. The mechanical properties of the hybrid polymer–ceramic materials were similar to natural teeth. As a trade-off between flexural strength and hardness, hybrid polymer–ceramic material with 20 wt. % BAG sintered at 1000 °C was the best material. In vitro experiments confirmed the biocompatibility of the hybrid polymer–ceramic material. Therefore, the hybrid polymer–ceramic material is expected to become a new type of dental restoration material.
E-wallet Adoption: Technology Acceptance Model and COVID-19

The development of information technology has almost entered all economic and daily activities, such as in the financial aspect (financial technology). Since the pandemic, many e-wallets have been used as digital payment tools in Batam city, especially ShopeePay. Therefore, this study aims to analyze the level of adoption of ShopeePay by utilizing the TAM component and perceived risk, which refers to disease risk known as perceived COVID-19 risk. Purposive sampling is used as a sampling technique, with 179 samples obtained through google Forms filed by respondents. The results of this study found that there is a significant influence between perceived usefulness and ease of use on behavioral intention. Meanwhile, perceived COVID-19 risk does not significantly affect behavioral intention.
Usefulness of a Mobile Application (Mentali) for Anxiety and Depression Screening in Medical Students and Description of the Associated Triggering Factors

The impact of the COVID-19 health crisis on the mental health of the population requires the implementation of new primary screening strategies of mental health disorders to intervene in a timelier manner, and technology may provide solutions. We aimed to evaluate the usefulness of the mobile app Mentali (version 1.1.2; creators: Jorge Alfonso Solís Galván Sodel Vázquez Reyes, Margarita de la Luz Martínez Fierro, Perla Velasco Elizondo, Idalia Garza Veloz, Alejandro Mauricio González and Claudia Caldera Villalobos, Zacatecas, México) as a primary screening tool for anxiety and depression disorders in medical students and to assess the triggering risk factors. This was a descriptive and longitudinal study and included 155 Mexican medical students. Participants interacted with Mentali for 6 months. The mobile app integrated the Beck anxiety and depression inventories together with a mood module. At the end of the interaction, the students received psychological and psychiatric interventions to confirm their primary diagnoses. Symptoms of moderate/severe anxiety and depression were present in 62.6% and 54.6% of the studied population. When corroborating the diagnoses, Mentali obtained a sensitivity of 100%, 95%, and 43% to classify a mental health disorder, anxiety, and depression, respectively. The most important triggers found were as follows: belonging to a dysfunctional family, being introverted, and having suffered from bullying. The proportion of users with excellent/good mood decreased from 78.7% to 34.4% at the end of the semester, and the proportion of users who claimed to have bad/very bad mood increased from 7.4% to 34.4% at the end of the semester (p < 0.05). Mentali was useful for identifying users with anxiety and/or depression, and as an auxiliary tool to coordinate the provision of specialized interventions, allowing us to increase the proportion of patients who needed psychological care and received it by 30%. The efficacy of Mentali in identifying activities through time with an impact on the mood and mental health of the users was confirmed. Our results support the use of Mentali for the primary screening of mental health disorders in young adults, including medical students.
Voluntary Carbon Disclosure (VCD) Strategy under the Korean ETS: With the Interaction among Carbon Performance, Foreign Sales Ratio and Media Visibility

While there has been a sufficient amount of research and empirical evidence on the factors that influence a company’s decisions to voluntarily disclose carbon information, little research has been done on the carbon disclosure practices of ETS-affected companies, in Asian countries, in particular. Considering this, it is essential to shed light on more diverse linkages between carbon performance and voluntary carbon disclosure (VCD) under ETSs taking into account the specific context of each individual country. Drawing on the Korean ETS-affected companies with a contents analysis of their sustainable reports from 2015 to 2019, the present research seeks to address the existing knowledge gaps in the current literature on carbon disclosure. In doing so, hierarchical ordinary least square (OLS) regression analysis is used to infer causality and assess the findings. The findings empirically prove a positive relationship between carbon performance and VCD, which means that the affected companies under the Korean ETS are likely to disclose more when they have favorable carbon reduction performance. Furthermore, this link tends to be amplified for companies with a high percentage of foreign sales, while the role of media visibility interacts differently with carbon performance in influencing VCD.
The green gentrification cycle

Significant research has shown that gentrification often follows the implementation of greening initiatives (e.g. new parks) in cities worldwide, in what scholars have called ‘green gentrification’. A few other studies in the Global North suggest that greening initiatives might be disproportionately located in disadvantaged neighbourhoods that are gentrifying as opposed to disadvantaged areas experiencing continuous disinvestment. Building on these findings, in this critical commentary we present the green gentrification cycle, which sheds light on the complex spatiotemporal relationships between greening and gentrification. The cycle posits that gentrification can precede greening, gentrification can follow greening and, in some cases, gentrification can both precede and then follow greening. We present the actors and processes involved in intentionally steering greening to already gentrifying communities and discuss them through an environmental justice lens. Specifically, we propose three complementary explanations for why gentrification precedes greening, including demand from gentrifiers, push from the green growth machine and increased resource availability in gentrifying communities. We then present a research agenda on the green gentrification cycle, including the need for a better understanding of how the cycle might materialise in places with varying political economies, such as the Global South.
E-Learning Engagement and Effectiveness during the COVID-19 Pandemic: The Interaction Model

Abstract COVID-19 has disrupted the education environment. But, little is known on how e-learning engagement impacts learning effectiveness and satisfaction with the interaction of computer self-efficacy in the study from home context. We examine how students’ expectations to adopt e-learning contribute to e-engagement that influences e-learning effectiveness and satisfaction and explore the moderating role of computer self-efficacy between e-learning engagement and effectiveness using structural equation modelling. Results from the 212 usable data reveal that e-learning expectations to adopt e-learning contribute positively to e-learning engagement, which is fundamental for effective learning that leads to learning satisfaction. Computer self-efficacy appears to have a significant positive effect on e-learning effectiveness, but no evidence on e-learning engagement. Computer self-efficacy moderates the relationship between e-learning engagement and perceived e-learning effectiveness in the study from home context during the pandemic. The findings have important managerial implications for administrators in the universities. Students are adjusting and facing a steep learning curve as they work through the mechanics of e-learning in the new normal COVID-19 environment. They learn to interact with peers and lecturers via electronic means, digest and absorb complicated content and concepts through unfamiliar e-learning platforms in home spaces. Limitations and future research are discussed.
The Origin of Aerodynamic Instability of Supersonic Inlets at Subcritical Conditions

Memorandum presenting an investigation of the phenomenon of the starting of aerodynamic instability or buzz in supersonic inlets with external compression. The starting of the buzz has been related to the existence in the flow field of a velocity discontinuity across a vortex sheet which originates at a shock intersection. Results regarding the inlets without separation on the central body, inlets with separation on the central body, the regulation of entering volume flow at angles of attack, experimental performance of various inlets, and an application of the results are provided.
Fecal Bile Acids and Neutral Sterols Are Associated with Latent Microbial Subgroups in the Human Gut

Bile acids, neutral sterols, and the gut microbiome are intricately intertwined and each affects human health and metabolism. However, much is still unknown about this relationship. This analysis included 1280 participants of the KORA FF4 study. Fecal metabolites (primary and secondary bile acids, plant and animal sterols) were analyzed using a metabolomics approach. Dirichlet regression models were used to evaluate associations between the metabolites and twenty microbial subgroups that were previously identified using latent Dirichlet allocation. Significant associations were identified between 12 of 17 primary and secondary bile acids and several of the microbial subgroups. Three subgroups showed largely positive significant associations with bile acids, and six subgroups showed mostly inverse associations with fecal bile acids. We identified a trend where microbial subgroups that were previously associated with “healthy” factors were here inversely associated with fecal bile acid levels. Conversely, subgroups that were previously associated with “unhealthy” factors were positively associated with fecal bile acid levels. These results indicate that further research is necessary regarding bile acids and microbiota composition, particularly in relation to metabolic health.
Hysterosalpingographic Interrogation of Infertility at Lagos State University Teaching Hospital (LASUTH), Ikeja, Nigeria

Background: The African traditional society places a high premium on fecundity and therefore, views infertility as a personal tragedy. Prolonged infertility might lead to suicidal tendencies, stigmatization, marital instability, and enormous psychological stress. In recent times in Nigeria, there appears to be an upsurge in the number of couples investigated for infertility using hysterosalpingography (HSG). Objective: To observe the trend of HSG findings at a foremost tertiary hospital in Nigeria. Methods: A consecutive enlistment of HSG radiographs concluded and reported on between July 2014 to December 2018. Using an inclusion criteria of patients who had an initial ultrasound scan prior to HSG as noted from radiologists reports, a sample size of 623 radiographs was enlisted from a HSG population of 2,624 cases. Patients’ demographic information were extracted from their request cards and radiologists’ reports. Results: Patients were aged 22 – 54 (mean: 36.30 ± 6.00) years, with a modal age range of 31 – 40 year (58.5 %) showing the highest throughput. Hysterosalpingography abnormalities were in two broad sites of uterus and fallopian tubes with the former showing a higher frequency ((n = 362, 58.11 %). Specifically, fibroid (n = 198, 31.80 %) and congenital anomalies (n = 24, 3.80 %) were the most and least prevalent abnormalities, respectively. Conclusions: Women aged 31 – 40 years were the most common patients for HSG, and uterine fibroid was the most common abnormality found in this study.
Psicologia: Teoria e Pesquisa

Considering the lack of studies involving primary prevention of child abuse, this pilot study aimed to evaluate the effectiveness of the ACT Parenting Program, a universal violence prevention program, through observational measures of parent-child interactions and parental self-report. The study included 10 parents, randomly assigned to waitlist control group (CG) and experimental group (EG), with pre-test/post-test/follow-up measures. The observation sessions were conducted in a lab-house with one-way mirror and filming equipment. Comparing the groups, the EG had a significant increase in self-reported problem-solving skills after program completion. However, no differences were found among observational measures. Further studies are required to attest the effectiveness of the program with behavioral measures.
Detectability of Mode Resonances in Coalescing Neutron Star Binaries

Inspirals of neutron star-neutron star binaries are a promising source of gravitational waves for gravitational wave detectors like LIGO. During the inspiral, the tidal gravitational field of one of the stars can resonantly excite internal modes of the other star, resulting in a phase shift in the gravitational wave signal. We compute using a Fisher-matrix analysis how large the phase shift must be in order to be detectable. For a $1.4 M_\odot, 1.4 M_\odot$ binary the result is $\sim 8.1, 2.9$ and 1.8 radians, for resonant frequencies of $16, 32$ and 64 Hz. The measurement accuracies of the other binary parameters are degraded by inclusion of the mode resonance effect.
Study of fluid displacement in three-dimensional porous media with an improved multi-component pseudopotential lattice Boltzmann method

We generalize to three dimensions (3D) a recently developed improved multi-component pseudopotential lattice Boltzmann method and analyze its applicability to simulate flows through realistic porous media. The model is validated and characterized via benchmarks, and we investigate its performance by simulating the displacement of immiscible fluids in 3D geometries. Two samples are considered, namely, a pack of spheres obtained numerically, and a Bentheimer sandstone rock sample obtained experimentally. We show that, with this model it is possible to simulate realistic viscosity ratios, to tune surface tension independently and, most importantly, to preserve the volume of trapped fluid. We also evaluate the computational performance of the model on the Graphical Processing Unit (GPU) and mention the implemented optimizations to increase the computational speed and reduce the memory requirements.
Audit committee characteristics and corporate governance disclosure: evidence from Vietnam listed companies

Abstract The study examines the association between audit committee characteristics, namely audit committee independence, audit committee financial expertise, audit committee gender diversity, size of audit committee and frequency of audit committee meeting, and corporate governance disclosure (CGD). The paper develops a comprehensive literature review using a bibliometric analysis with Scopus database from 2004 to 2022 and offers insight into the relationship between audit committee attributes as independent variables and level of corporate governance disclosure as a dependent variable. The dependent variable is measured basing on a scorecard of Vietnam-Listed Company Awards (VLCA). The set of scorecard questionnaire is then Cronbach Alpha tested to assure the reliability and consistency. The result contributes to extant literature a measurement of CGD in Vietnam. The multiple regression is applied over a sample of 210 non-financial listed companies in 2021. The findings show that audit committee independence and size of audit committee are significantly associated with level of CGD. The empirical evidence also reveals that firm size is statistically linked to CGD indicating the capital demand of large companies. Overall, the study might be of interest to professionals, policymakers and regulators regarding the establishment of regulations concerning the audit committee structure.
High Temperatures and Cardiovascular-Related Morbidity: A Scoping Review

The primary objective of this review was to synthesize studies assessing the relationships between high temperatures and cardiovascular disease (CVD)-related hospital encounters (i.e., emergency department (ED) visits or hospitalizations) in urban Canada and other comparable populations, and to identify areas for future research. Ovid MEDLINE, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, and Scopus were searched between 6 April and 11 April 2020, and on 21 March 2021, to identify articles examining the relationship between high temperatures and CVD-related hospital encounters. Studies involving patients with pre-existing CVD were also included. English language studies from North America and Europe were included. Twenty-two articles were included in the review. Studies reported an inconsistent association between high temperatures and ischemic heart disease (IHD), heart failure, dysrhythmia, and some cerebrovascular-related hospital encounters. There was consistent evidence that high temperatures may be associated with increased ED visits and hospitalizations related to total CVD, hyper/hypotension, acute myocardial infarction (AMI), and ischemic stroke. Age, sex, and gender appear to modify high temperature-CVD morbidity relationships. Two studies examined the influence of pre-existing CVD on the relationship between high temperatures and morbidity. Pre-existing heart failure, AMI, and total CVD did not appear to affect the relationship, while evidence was inconsistent for pre-existing hypertension. There is inconsistent evidence that high temperatures are associated with CVD-related hospital encounters. Continued research on this topic is needed, particularly in the Canadian context and with a focus on individuals with pre-existing CVD.
Solvent Controls Nanoparticle Size during Nanoprecipitation by Limiting Block Copolymer Assembly

Control of the properties of nanoparticles (NPs), including size, is critical for their application in biomedicine and engineering. Polymeric NPs are commonly produced by nanoprecipitation, where a solvent containing a block copolymer is mixed rapidly with a nonsolvent, such as water. Empirical evidence suggests that the choice of solvent influences NP size; yet, the specific mechanism remains unclear. Here, we show that solvent controls NP size by limiting block copolymer assembly. In the initial stages of mixing, polymers assemble into dynamic aggregates that grow via polymer exchange. At later stages of mixing, further growth is prevented beyond a solvent-specific water fraction. Thus, the solvent sets NP size by controlling the extent of dynamic growth up to growth arrest. An a priori model based on spinodal decomposition corroborates our proposed mechanism, explaining how size scales with the solvent-dependent critical water fraction of growth arrest and enabling more efficient NP engineering.
Chlorophyll–total phosphorus relationships emerge from multiscale interactions from algae to catchments

Chlorophyll and total phosphorus (TP) concentrations are key indicators of lake water quality and the relationship between them is a common tool for assessing lake trophic status. Despite the application of the chlorophyll–TP relationship in management settings, there is still an absence of a mechanistic understanding underlying its shape. We leveraged a process‐based model that focuses primarily on biogeochemical and physiological mechanisms to develop a framework that reconciles interactions between multiscale drivers of the chlorophyll–TP relationship, such as hydrologic P loads, lake shape, and algal physiology. We found that combinations of lake shape and hydrologic P load induce broad shifts in algal limitation status that underly the shape of the chlorophyll–TP relationship. Furthermore, we highlight the importance of algal traits in controlling shifts in limitation. Our framework ties key landscape and ecosystem features to biological limitation and provides a synthetic and process‐based understanding of the chlorophyll–TP relationship.
Analysis of Phytochemical Compounds, Total Phenolic Content, and Antioxidant Activity Test of Ethanol Extract of Okra (Abelmoschus Esculentus L.) from the Traditional Market of Kendari

Okra (Abelmoschus esculentus L.) is often used as a vegetable and has many benefits, as it contains bioactive compounds beneficial to health and acts as a source of nutrition. This research aimed to determine the phytochemical content, total phenolic content, and antioxidant activity in the ethanolic extract of green okra (Abelmoschus esculentus) fruit obtained from a traditional market in Kendari, Southeast Sulawesi Province, Indonesia. The research included four stages: sampling; sample preparation (the making of simplicia); extraction using the maceration method with 96% ethanol solvent; concentration of the extract using a rotary evaporator, followed by qualitative tests on the content of phenolics, alkaloids, flavonoids, saponins, terpenoids, and steroids using reagents as per the test parameters. Determination of the total phenolic content was carried out through the Folin-Ciocalteu solution method using standard UV-visible spectrophotometry for gallic acid at a wavelength of 765 nm. Antioxidant activity was tested by employing the DPPH (1,1-diphenyl-2-picrylhydrazyl) trapping method, which was measured using a UV-visible spectrophotometer with a wavelength of 515 nm. The results of the phytochemical screening of the okra fruit showed that the ethanolic extract of the fruit contained phenolic compounds, alkaloids, flavonoids, saponins, steroids, and terpenoids and had a total phenolic value of 13,456 ppm. The ethanol extract of okra fruit has weak antioxidant activity, with an IC50 value of 157.071 mg/mL. This showed that green okra fruit can be used as a basic ingredient for biodiversity-based medicines.