Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbial communities associated with mounds of the Orange-footed scrubfowl Megapodius reinwardt

Megapodius reinwardt, the orange-footed scrubfowl, belongs to a small family of birds that inhabits the Indo-Australian region. Megapodes are unique in incubating their eggs in mounds using heat from microbial decomposition of organic materials and solar radiation. Little is known about the microorganisms involved in the decomposition of organic matter in mounds. To determine the source of microbes in the mounds, we used 16S and 18S rRNA gene sequencing to characterize the microbial communities of mound soil, adjacent soil and scrubfowl faeces. We found that the microbial communities of scrubfowl faeces were substantially different from those of the mounds and surrounding soils, suggesting that scrubfowls probably do not use their faeces to inoculate their mounds although a few microbial sequence variants were present in both faeces and mound samples. Further, the mound microbial community structure was significantly different to the adjacent soils. For example, mounds had a high relative abundance of sequence variants belonging to Thermomonosporaceae, a thermophilic soil bacteria family able to degrade cellulose from plant residues. It is not clear whether members of Thermomonosporaceae disproportionately contribute to the generation of heat in the mound, or whether they simply thrive in the warm mound environment created by the metabolic activity of the mound microbial community. The lack of clarity in the literature between designations of heat-producing (thermogenic) and heat-thriving (thermophilic) microbes poses a challenge to understanding the role of specific bacteria and fungi in incubation.
Orientation Determination in IMU Sensor with Complementary Filter

The use of unmanned aerial vehicles (UAV) systems has increased in recent years. Therefore,studies on UAVs have increased today. In this direction, the production of UAV systems with domestic resources has gained importance. In this study, it is desired to develop a domestic and national flight control card and software. In the flight control board designed for the UAV, it is aimed to keep the vehicle in balance in the air. Accurate measurement of platform orientation plays an important role in many applications such as aerospace, robotics, navigation, marine, machine interaction [1]. Inertial Measurement Unit (IMU) sensor was used to accurately measure the orientation of the UAV. IMU sensor is widely used in UAVs due to its light weight and low energy consumption. In this direction, the need for a filter has emerged in the IMU sensor, which is used to accurately measure the orientation of the unmanned aerial vehicle. In this study, a complementary filter was applied on the IMU sensor. Thanks to this filter, it has been observed that the accuracy of the data received from the IMU sensor has increased. Based on the data obtained, a Proportional Integral Derivative (PID) algorithm was developed, and the vehicle was kept in balance. In this study, ARMCortex-M4 based STM32F407VG microcontroller and MPU6050 as IMU sensor were used. Keil-uVision5 compiler is preferred for software. As a result, high accuracy in the orientation detection of unmanned aerial vehicles was obtained by applying a complementary filter on the IMU sensor.
A Comprehensive Analysis of Healthcare Websites Usability Features, Testing Techniques and Issues

Healthcare has evolved significantly over time, from traditional healthcare systems to cutting-edge medical technologies. As these technologies advance, researchers have become interested in their usability. The usefulness of healthcare websites helps to provide more precise medical information. A comprehensive review of the literature is required to identify usability features, techniques, and issues in healthcare websites over a specified time period. In this study, articles from the years 2017–2021 are reviewed from well-known digital libraries i.e, IEEE, ACM, and ScienceDirect that include papers from various conferences, magazines, books, and journals. Initially, the study found 10,512 titles based on the search string developed from the proposed research questions which were then further filtered down to a total of 55 papers. This systematic literature review (SLR) summarises and collects relevant data in response to pre-defined research questions. This analysis of existing research will help website designers and developers, in developing more user-friendly healthcare websites for the users. In the future, this SLR will help in determining the optimal solutions and developing a framework for the identified usability challenges and limitations. It also includes employing the usability evaluation tools discovered by researchers to identify and fix usability issues on websites.
Experimental Investigation and Mechanism of Fly Ash/Slag-Based Geopolymer-Stabilized Soft Soil

In response to the high carbon emissions and energy consumption of traditional cement curing agents, in this paper, we propose a fly ash/slag-based geopolymer as an alternative to cement for stabilizing soft soils. In this study, the effects of the activator modulus, activator, and slag content on the geopolymer-stabilized clay were investigated by unconfined compressive strength (UCS) tests on Hangzhou soft soils, and the water stability and resistance to wet–dry cycles of the geopolymer-stabilized soils were studied. The changes in the microstructure and mineral phases were investigated using X-ray diffraction and scanning electron microscopy, respectively, and the inner evolution of the properties of the stabilized soft soil under different conditions was clarified. The test results revealed that the UCS of the geopolymer-stabilized soft soils increased and then decreased as the content and modulus of the alkali activator increased. The optimum mix proportion of geopolymer-stabilized soil required a modulus of the alkali activator of 0.6, a content of the alkali activator of 6%, and a slag-to-fly ash ratio of 1:1. Its 28-day UCS of the test specimens reached 2 MPa. When the content of the geopolymer was 25%, the water stability coefficient reached 87.53%, and the strength was still 1.6 MPa after eight wet–dry cycles. Based on the microscopic analysis, the cementing substances in the geopolymer-stabilized clay were calcium silicate hydrate (C-S-H) and sodium aluminosilicate hydrate (N-A-S-H), which made the soil’s structure denser through bonding and filling effects.
Acoustic Levitation for Large Particle Based on Concave Spherical Transducer Arrays

With the advantages of non-contact, compatibility, no chemical effect and safety, acoustic levitation of object has great potential to apply in chemistry, biology, medicine field and micro robots. Suspension to large particle higher than the half wavelength( $0.5\lambda $ ) of sound wave, is a challenge technology in micro-nanoscale manipulation. An increased large quantity probes, double sided and four sided phased array with virtual vortex can provide higher capture power, control ability and stability of particle fixation and the manipulation. However, for a limited confined space, the additional probes and sided phased array emission and receiving device is hard to be established and applied. Additional probes and sided ultrasonic phased array requires higher processing ability of MCU (Micro Control Unit) and the quantities of transducers. Further, multiparticles suspension is rare to be reported. In this study, a relatively simple suspension device of one sided concave spherical transducer array is designed, aiming to levitate a large particle and multi-particles. Based on the one sided acoustic field simulation of ultrasonic array, the optimized structure of open spherical sector (OSS) is constructed to establish levitation device. Experimental platform integrating FPGA controller, amplifier and impedance matching is developed to drive the transducer arrays, where a polystyrene particle with 6 mm ( $0.71\lambda $ ) diameter is successfully levitated. The virtual twin trap sound pressure of transducer array is measured to evaluate the particle stability. Experiments demonstrate the correctness of virtual twin trap acoustic field analysis, the feasibility in the manipulation to the large particle and multi-particles by acoustic trap.
Activation of Oncogenic and Immune-Response Pathways Is Linked to Disease-Specific Survival in Merkel Cell Carcinoma

Simple Summary Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer. Developing targeted therapies for MCC requires increased understanding of the mechanisms driving tumor progression. In this study, we aimed to identify genes, signaling pathways, and processes that play crucial roles in determining disease-specific survival in MCC. We analyzed the gene expression of 102 MCC tumors and identified genes that were upregulated among survivors and in patients who died from MCC. We cross-referenced these genes with online databases to identify the pathways and processes in which they function. Genes upregulated among survivors were mostly immune response related and genes upregulated among patients who died from MCC function in various pathways that promote cancer progression. These results could guide future studies investigating whether these genes and pathways could be used as prognostic markers, as markers to guide therapy selection, or as targets of precision therapy in MCC. Abstract Background: Merkel cell carcinoma (MCC) is a rare but highly aggressive neuroendocrine carcinoma of the skin with a poor prognosis. Improving the prognosis of MCC by means of targeted therapies requires further understanding of the mechanisms that drive tumor progression. In this study, we aimed to identify the genes, processes, and pathways that play the most crucial roles in determining MCC outcomes. Methods: We investigated transcriptomes generated by RNA sequencing of formalin-fixed paraffin-embedded tissue samples of 102 MCC patients and identified the genes that were upregulated among survivors and in patients who died from MCC. We subsequently cross-referenced these genes with online databases to investigate the functions and pathways they represent. We further investigated differential gene expression based on viral status in patients who died from MCC. Results: We found several novel genes associated with MCC-specific survival. Genes upregulated in patients who died from MCC were most notably associated with angiogenesis and the PI3K-Akt and MAPK pathways; their expression predominantly had no association with viral status in patients who died from MCC. Genes upregulated among survivors were largely associated with antigen presentation and immune response. Conclusion: This outcome-based discrepancy in gene expression suggests that these pathways and processes likely play crucial roles in determining MCC outcomes.
Hidden costs, hidden lives: Financial effects of fatal work injuries on families

Although workplace death is known to have profound social and psychological effects on families, the economic consequences have not been explored. This pioneering study investigated families’ financial situations following fatal workplace injuries. An online survey explored the impact of post-death financial change on 142 participants from Australia, Canada, the USA, and the UK using a scale from the economic strain model. Half of the participants experienced financial loss, and the proportion struggling financially increased from 24% to 62% after the death. Workers’ compensation claims were made by 74% of participants, but they reported problems with delays, levels of entitlement, and satisfaction with the scheme. Other key sources of assistance were family and friends or support groups and services. Participants who were older, next-of-kin, and partner/spouses were significantly more likely to experience financial loss as were those whose deceased relative worked 51+ hours per week, possibly because the deceased was self-employed or worked significant overtime not covered by compensation settlements. Those experiencing financial loss sought short- and long-term financial help, accessed social security, re-entered the workforce, acquired mental disorders, and experienced declines in physical health, at significantly higher rates than participants without financial loss, and their children developed mental health problems significantly more often. Findings highlight the detrimental, and potentially intergenerational, effects of financial loss on the health and wellbeing of families bereaved by traumatic workplace deaths. Policy issues flowing from the results are discussed, including how this informs wider debates on refashioning regulatory protection. JEL Codes: I380, I310
Policy Impact Analysis of Housing Policies Using Housing Cycles

In Korea, there is a big difference in the rise and fall of apartment prices by region, so it is expected that there will be differences in regional economic indexes. So, to capture the housing market conditions, we developed the housing cycle by using the factor-augmented vector autoregressive model (FAVAR). In addition, we estimated the impacts of the Korean government’s housing policies on the housing cycle. The first is a net policy effect model, and the second is a comprehensive model with macroeconomic variables and regional variables. To estimate the effects of the policies, we considered financial, tax, and housing transaction policies. In the net policy effect model, we found that all policies, including an increase in the DTI (debt to income) ratio, the LTV (loan to value) limit, an acquisition tax reduction, a transfer tax deregulation, deregulation of the housing subscription policy, and a housing purchase right transfer, impacted the housing cycles at the period t − 1. This is why the Korean government announced policy enforcement in advance a month ago before policy implementation. In the comprehensive model, we found that the policies had statistically significant effects on housing cycles at the period t − 1, and we also found that the regional variables had an influence on the housing cycle. Therefore, the Korean government should consider the regional characteristics and time lag when it attempts to intervene in the housing market.
Padrões Bioacústicos como Identificadores Precisos da Presença de Rainha em Colmeias de Abelhas Melíferas

A abelha rainha é a responsável pelo crescimento, renovação e estabilidade organizacional da sua colônia. Para saber se uma rainha melífera está presente na colmeia, o apicultor tem de abri-la, o que estressa as abelhas, destrói parte do ninho e provoca morte de operárias. Classificar a presença da rainha através do seu zumbido, por exemplo, é um método de inspeção não-invasivo e pode manter o bem-estar da colônia. Porém, padrões bioacústicos geram um volume considerável de dados. A utilização de classificadores incrementais com uma taxa de gravação diária pode manter a eficiência e reduzir este gargalo. Neste artigo, avaliamos de forma sistemática o desempenho de três classificadores incrementais: Hoeffding Tree, Random Forest e Naive Bayes. Destes três classificadores, o destaque foi o Naive Bayes com 10 janelas de 1 s /dia, tempo de resposta de somente 0,93 s e acurácia média de 97%.
Physical Activity Monitoring and Classification Using Machine Learning Techniques

Physical activity plays an important role in controlling obesity and maintaining healthy living. It becomes increasingly important during a pandemic due to restrictions on outdoor activities. Tracking physical activities using miniature wearable sensors and state-of-the-art machine learning techniques can encourage healthy living and control obesity. This work focuses on introducing novel techniques to identify and log physical activities using machine learning techniques and wearable sensors. Physical activities performed in daily life are often unstructured and unplanned, and one activity or set of activities (sitting, standing) might be more frequent than others (walking, stairs up, stairs down). None of the existing activities classification systems have explored the impact of such class imbalance on the performance of machine learning classifiers. Therefore, the main aim of the study is to investigate the impact of class imbalance on the performance of machine learning classifiers and also to observe which classifier or set of classifiers is more sensitive to class imbalance than others. The study utilizes motion sensors’ data of 30 participants, recorded while performing a variety of daily life activities. Different training splits are used to introduce class imbalance which reveals the performance of the selected state-of-the-art algorithms with various degrees of imbalance. The findings suggest that the class imbalance plays a significant role in the performance of the system, and the underrepresentation of physical activity during the training stage significantly impacts the performance of machine learning classifiers.
NMR and Metabolomics—A Roadmap for the Future

Metabolomics investigates global metabolic alterations associated with chemical, biological, physiological, or pathological processes. These metabolic changes are measured with various analytical platforms including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS) and nuclear magnetic resonance spectroscopy (NMR). While LC-MS methods are becoming increasingly popular in the field of metabolomics (accounting for more than 70% of published metabolomics studies to date), there are considerable benefits and advantages to NMR-based methods for metabolomic studies. In fact, according to PubMed, more than 926 papers on NMR-based metabolomics were published in 2021—the most ever published in a given year. This suggests that NMR-based metabolomics continues to grow and has plenty to offer to the scientific community. This perspective outlines the growing applications of NMR in metabolomics, highlights several recent advances in NMR technologies for metabolomics, and provides a roadmap for future advancements.
EVALUATE RECOVERY OF PROSPECTIVE ELEMENTARY SCHOOL TEACHERS USING QUIZIZZ: IS IT EFFECTIVE?

The Covid-19 pandemic has a significant impact on Indonesia's education today. Students from both junior and senior batches of universities must experience changes in learning systems and models. Demands for change are felt not only by students but also by teachers. The teacher must meet the demands of distance learning. This also impacts on the use of appropriate tools in evaluating student learning outcomes. The Quizizz website is one of the teacher's tools for evaluating. However, it is not yet known whether Quizizz is the right tool for evaluating. The purpose of this study was to determine the effectiveness of using Quizizz as an evaluation tool. The research method is quantitative with quasi-experimental design. There are control and experiment classes, each with a sample of 37 students of Elementary School Teacher Education Study Program. Data obtained in the form of test score figures will be analyzed using independent t-test to find out whether the two data groups have significant mean differences. The "t-test for Equality of Means" column shows the results of the independent t-test. Sig. Value from the t-test is 0.138. If α = 0.05, then Sig. > 0.05. This shows that there is no significant difference between the experimental class and the control class. The results of the data analysis showed that there were no significant differences between the experimental and control classes. This shows that the use of the Quizizz website is less effective as a means of evaluating learning outcomes.The use of the quizizz website as a means of evaluating student learning outcomes needs to be further examined
Evaluation of Un-Preprocessed Expired Piroxicam Drug as Corrosion Inhibitor for Mild Steel in Hydrochloric Acid

Illegal disposal and recirculation of expired drugs is a global menace which can be solved by their re-utilization as corrosion inhibitors. Thus, helping to combat the current widespread corrosion-induced wastage of expensive mild steel infrastructure. The experimental investigation evaluated the capability and effectiveness of an expired drug (piroxicam) for inhibiting mild steel corrosion in blank 0.5M HCl and acidic environments containing 2 to 8 g/L of the expired drug. Spectrometry, weight loss analysis, atomic absorption spectroscopy, microscopy, polarisation and electrochemical impedance study (EIS) were employed. Analyses revealed drastic inhibition of corrosion in mild steel by expired piroxicam drug in the acid. Corrosion currents ( ) obtained at all concentrations of the expired drug were reduced in comparison to that of the uninhibited environment. The solution resistance recorded was not significantly altered; charge transfer resistances were increased while the capacitance of the electrochemical double layers (Double layer capacitance) as well as the concentration of dissolved iron (Fen+) ions in the environment, were all reduced with increasing concentration of the expired drug. Although moderate amounts of the expired drug delivered appreciable levels of corrosion inhibition when dissolved directly into the corrosive environment and without any pre-treatment, increased concentration of expired drug resulted in increased corrosion inhibition efficiency. The highest corrosion inhibition efficiency obtained was 97.6% and was from the acidic environment that contained 8 g/L of expired piroxicam drug. The expired piroxicam drug inhibited corrosion of mild steel in 0.5M HCl acid via spontaneous physical adsorption (physisorption) process(s), obeying Langmuir’s adsorption isotherm.
Resveratrol Synergistically Promotes BMP9-Induced Osteogenic Differentiation of Mesenchymal Stem Cells

Background Mesenchymal stem cells (MSCs) differentiate into osteocytes, adipocytes, and chondrocytes. Resveratrol and bone morphogenetic protein 9 (BMP9) are known osteogenic induction factors of MSCs, but the effect of both resveratrol and BMP9 on osteogenesis is unknown. Herein, we explored whether resveratrol cooperates with BMP9 to improve osteogenic induction. Methods The osteogenic induction of resveratrol and BMP9 on C3H10T1/2 cells was evaluated by detecting the staining and activity of the early osteogenic marker alkaline phosphatase (ALP). In addition, the late osteogenic effect was measured by the mRNA and protein levels of osteogenic markers, such as osteopontin (OPN) and osteocalcin (OCN). To assess the bone formation function of resveratrol plus BMP9 in vivo, we transplanted BMP9-infected C3H10T1/2 cells into nude mice followed by intragastric injection of resveratrol. Western blot (WB) analysis was utilized to elucidate the mechanism of resveratrol plus BMP9. Results Resveratrol not only enhanced osteogenic induction alone but also improved BMP9-induced ALP at 3, 5, and 7 d postinduction. Both the early osteogenic markers (ALP, Runx2, and SP7) and the late osteogenic markers (OPN and OCN) were significantly increased when resveratrol was combined with BMP9. The fetal limb explant culture further verified these results. The in vivo bone formation experiment, which involved transplanting BMP9-overexpressing C3H10T1/2 cells into nude mice, also confirmed that resveratrol synergistically enhanced the BMP9-induced bone formation function. Resveratrol phosphorylated adenosine monophosphate- (AMP-) activated protein kinase (AMPK) and stimulated autophagy, but these effects were abolished by inhibiting AMPK and Beclin1 using an inhibitor or siRNA. Conclusions Resveratrol combined with BMP9 significantly improves the osteogenic induction of C3H10T1/2 cells by activating AMPK and autophagy.