Miracle-dz/UniFAR-FTUs huggingface dataset:
Slab Subduction and Pull Link Magmatism at Active and Passive Continental Margins

Subduction leads to voluminous arc magmatism at active continental margins; however, the potential far‐field geodynamic connections with coeval magmatism along opposing passive margins, are rarely investigated. Here we report large‐scale and parallel mafic dike swarms on the South Qinling passive margin, whose geochemical features record the thick and cold subcontinental lithospheric mantle beneath passive margin was gradually replaced by thin and hot one during the early Paleozoic. The subduction of the Proto‐Tethys oceanic lithosphere led to arc magmatism along the active margin, shortly after the rift‐related mafic dike swarms occurred along the passive margin. Subsequent to the continuous oceanic subduction including the ridge‐margin collision, mantle upwelling and slab rollback eventually triggered large‐scale rift‐related magmatism and the opening of new ocean basin at passive margin, and also back‐arc magmatism on the active margin. We highlight slab subduction and pull link the geodynamic processes at active and passive continental margins, which improves our understanding of plate tectonics.
Effective disinfecting of negative pressure pipelines of DCUs reduces the risk of cross infection in dental care

ABSTRACT Objectives Microbial contamination of various accessory parts of the dental chair units (DCUs) is an essential source of cross infection, while the accessories of the crucial suction function are usually overlooked. In this study, we aim to find an effective disinfectant and a cost-effective method to remove bacterioplankton and bacterial biofilm deposited in the negative pressure suction pipelines to control cross infection during dental treatment. Methods Double-chain quaternary ammonium salt disinfectant (Orotol Plus®), 3% hydrogen peroxide solution plus multi-enzyme cleaning agent and chlorine disinfectant are used to clean and disinfect the negative pressure pipelines of DCUs. Microbiological examinations, air condition detection, corrosion tests and gene sequencing are performed. Results Little bacteria grow in the pipelines disinfected with double-chain quaternary ammonium salt disinfectants, destruction of biofilms in these pipelines appears, and multi-resistant bacteria cannot be detected. Minimal damage to metal sheets and fittings is caused by double-chain quaternary ammonium salt disinfectants. Conclusion Double-chain quaternary ammonium salt disinfectant has excellent bactericidal ability and anti-biofilm effect, and it is less corrosive to the fittings of the pipelines. Thus, the double-chain quaternary ammonium salt disinfectant is a potential novel disinfectant for negative pressure suction pipelines of DCUs to control cross infection during dental treatment. Clinical significance It is essential to add all these data to our dental practice to control cross infection with a broader landscape.
Non-Performing Financing and Efficiency as Predictive Factors for Profitability of Islamic Commercial Banks during the COVID-19 Pandemic

The purpose of this study was to examine the impact of NPF and the efficiency level of Islamic banks on the profitability of Islamic commercial banks during the pandemic.This study uses a quantitative approach with the type of explanatory research. The data analysis method used in this study is multiple linear regression analysis, the variables used in this study are variable X and variable Y, which includes variable X (independent variable) namely Non Performing Financing (X1) and Efficiency (X2). Variable Y (dependent variable) is Profitability.The results show that: First, partially Non-Performing Financing has an impact on the ROE of Islamic commercial banks, but the efficiency level of Islamic banks does not have an impact on ROE. Second, Simultaneously Non-Performing Financing and the efficiency level of Islamic commercial banks have no effect on profitability. The implication of this research is that partially NPF can be used by investors and potential investors to be used as a reference for making investment decisions.
PERANCANGAN VIDEO GAME TENTANG PENGELOLAAN WAKTU BAGI PELAJAR USIA 16-18 TAHUN

Pengelolaan waktu memiliki peranan penting dalam kehidupan pelajar Indonesia. Mayoritas pelajar Indonesia belum mengenal pengelolaan waktu yang baik. Video game merupakan media yang dekat dan efektif untuk menyampaikan materi pembelajaran tentang pengelolaan waktu kepada pelajar Indonesia. It’s Munday adalah video game role playing yang mengukur kemampuan pelajar dalam mengelola waktu. Perancangan ini ditujukan kepada pelajar Indonesia usia 16-18 tahun. Dengan adanya It’s Munday , pelajar dapat lebih memahami bagaimana mengelola waktu dengan baik.
Atlantic multidecadal variability in an ensemble of multi-century climate simulations

The Atlantic Multidecadal Variability (AMV) is a coherent pattern of variability of the North Atlantic Sea Surface Temperature (NA SST) field affecting several components of the climate system in the Atlantic region and the surrounding areas. Our current knowledge of the AMV is based on a relatively short observational record, which severely limits our understanding of the mechanisms involved, as well as the characterisation of the low-frequency tail of the variability spectrum. In order to quantify accurately the contribution of anthropogenic forcings to the observed climatic changes, it is essential to understand better the natural climate variability occurring at long time scales. Here, AMV is examined in a set of multi-century preindustrial climate simulations performed with different coupled general circulation models. In these simulations the AMV exhibits a non-stationary behaviour, which is objectively assessed via a statistical test starting from the null hypothesis of a statistically stationary AMV, whose modulation is entirely random. The large-scale teleconnection patterns associated with the AMV evolution and the relationship between the detected AMV behaviour and the variability of the Atlantic meridional overturning circulation (AMOC) are inspected. A multi-model i ii analysis of the AMV allows us to investigate similarities and differences across an ensemble of state-of-the-art climate models and to identify the prominent simulated modes of variability involving different atmosphere-ocean interactions over decadal and longer time scales. In most of the models a shorter time scale mode (∼20 years) seems to alternate with a longer time scale mode (∼60 years) with a gradual shift from one to another across different epochs. The shorter time scale appears to be associated to a NA SST tripole pattern that corresponds to a NAO-like forcing; whereas the longer time scale features an AMV-like monopole for the SST spatial pattern, which corresponds to a weaker coupling with the atmosphere. Since these modes are particularly evident in the MPI-ESM-P model, this is chosen as a case study to deepen the dynamical explanation of AMV behaviour: its AMV spectrum presents two distinct peaks, corresponding to a short time scale (20-40-year band) and a long time scale (40-80-year band). Results show that the non-stationarity of the entire time series is mostly due to the long time scale, and that the difference between the two modes is due to the driving role of salinity on circulation that prevails at the long time scale. The non-stationary behaviour identified in most models suggests that the character of the observed AMV may undergo significant changes in the future. This ongoing analysis will provide further insight into the dynamics of the AMV variability.
Advancing Biomarker Discovery and Therapeutic Targets in Duchenne Muscular Dystrophy: A Comprehensive Review

Mounting evidence underscores the intricate interplay between the immune system and skeletal muscles in Duchenne muscular dystrophy (DMD), as well as during regular muscle regeneration. While immune cell infiltration into skeletal muscles stands out as a prominent feature in the disease pathophysiology, a myriad of secondary defects involving metabolic and inflammatory pathways persist, with the key players yet to be fully elucidated. Steroids, currently the sole effective therapy for delaying onset and symptom control, come with adverse side effects, limiting their widespread use. Preliminary evidence spotlighting the distinctive features of T cell profiling in DMD prompts the immuno-characterization of circulating cells. A molecular analysis of their transcriptome and secretome holds the promise of identifying a subpopulation of cells suitable as disease biomarkers. Furthermore, it provides a gateway to unraveling new pathological pathways and pinpointing potential therapeutic targets. Simultaneously, the last decade has witnessed the emergence of novel approaches. The development and equilibrium of both innate and adaptive immune systems are intricately linked to the gut microbiota. Modulating microbiota-derived metabolites could potentially exacerbate muscle damage through immune system activation. Concurrently, genome sequencing has conferred clinical utility for rare disease diagnosis since innovative methodologies have been deployed to interpret the functional consequences of genomic variations. Despite numerous genes falling short as clinical targets for MD, the exploration of Tdark genes holds promise for unearthing novel and uncharted therapeutic insights. In the quest to expedite the translation of fundamental knowledge into clinical applications, the identification of novel biomarkers and disease targets is paramount. This initiative not only advances our understanding but also paves the way for the design of innovative therapeutic strategies, contributing to enhanced care for individuals grappling with these incapacitating diseases.
The preliminary adsorption investigation of Urtica Dioica L. biomass material as a potential biosorbent for heavy metal ions

The removal of Cu(II) ions from aqueous solutions by adsorption onto nettle after incomplete incineration (IIN) has been studied in batch mode. The experimental isotherm results have been fitted using Langmuir, Freundlich, Temkin and Dubinin-Radushkevich equations. A comparison of kinetic models applied to the adsorption of Cu(II) ions on the adsorbent was evaluated for the pseudo-first order, the pseudo-second order and Elovich kinetic models. The pseudo-second order kinetic model was found to correlate the experimental data well. To evaluate competitive adsorption the batch experiments were carried out among the Cu(II), Pb(II) and Cd(II). The affinity order for the ternary system was Pb(II) > Cu(II) > Cd(II). FTIR and SEM analysis indicated that IIN could be used as an efficient biosorbent whose chemical structure and morphology is not altered during adsorption process.
Enhancing Graph Random Walk Acceleration via Efficient Dataflow and Hybrid Memory Architecture

Graph random walk sampling is becoming increasingly important with the widespread popularity of graph applications. It aims to capture the desirable graph properties by launching multiple walkers to collect feature paths. However, previous research suffers long sampling latency and severe memory access bottlenecks due to intrinsic data dependency and skewed vertex distribution. Thus, in this paper, we propose FastRW, a dedicated accelerator to boost graph random walk operation on FPGAs. Specifically, FastRW first integrates multiple parallel processing engines to achieve data-level parallelism, where each processing engine also leverages dataflow scheduling to resolve data dependency and hide long sampling latency. Secondly, FastRW leverages a combination of multiple storage resources to implement a hybrid memory architecture adapted to skewed vertex distribution. By integrating the above optimizations, FastRW develops a performance model to take advantage of the balance between computation parallelism and bandwidth demand. We evaluate FastRW with two classic sampling algorithms on a wide range of real-world graph datasets. The experimental results show that FastRW achieves a speedup of 37.52<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math display="inline"><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="gao-ieq1-3347674.gif"/></alternatives></inline-formula> on average over the system running on two 8-core Intel CPUs. FastRW also achieves an average of 28.04<inline-formula><tex-math notation="LaTeX">$\boldsymbol{\times}$</tex-math><alternatives><mml:math display="inline"><mml:mo mathvariant="bold">×</mml:mo></mml:math><inline-graphic xlink:href="gao-ieq2-3347674.gif"/></alternatives></inline-formula> speedup over the architecture implemented on V100 GPU.
Projected Impact of the GOSAT Observations on Regional CO2 Flux Estimations as a Function of Total Retrieval Error

We studied the impact of the planned atmospheric CO, observations by GOSAT (Greenhouse gases Observing SATellite) on the inverse model estimate of monthly and annual mean regional CO, fluxes, using the inverse models of the CO, fluxes for ,, large regions of a globe. The inverse model of the atmospheric transport uses monthly and annual means of simulated GOSAT CO, observation data, which were aggregated to grid cells with the size of 1. / 1. / (horizontal), and surface-station observations as formulated in Transcom-inverse modelling intercomparison. The observation frequency of GOSAT in our analysis was corrected for simulated probability of clear-sky conditions, assuming global mean clear sky probability of ++ . Our results demonstrate that the mean regional flux uncertainty can be reduced by about /* by adding satellite observations with single shot precision of / ppm and randomly-distributed retrieval bias of *. / ppm.
Guidance manual for the valuation of regulating services

Contiene: 1. Introduction -- 2. Background to economic valuation of regulating services -- 3. Role of valuation in decision-making -- 4. Understanding regulating services -- 5. Regulating services across various ecosystems -- 6. Scale in valuing regulating services -- 7. Merging classification of ecosystem services (stock, flow, final and intermediate services) -- 8. Strengths and limitations of various valuation methods -- 9. Communicating economic values of regulating services --10. Conclusion
Evaluation of the Structure–Function Relationship of SGNH Lipase from Streptomyces rimosus by Site-Directed Mutagenesis and Computational Approach

Streptomyces rimosus extracellular lipase (SrL) is a multifunctional hydrolase belonging to the SGNH family. Here site-directed mutagenesis (SDM) was used for the first time to investigate the functional significance of the conserved amino acid residues Ser10, Gly54, Asn82, Asn213, and His216 in the active site of SrL. The hydrolytic activity of SrL variants was determined using para-nitrophenyl (pNP) esters with C4, C8, and C16 fatty acid chains. Mutation of Ser10, Asn82, or His216, but not Gly54, to Ala abolished lipase activity for all substrates. In contrast, the Asn213Ala variant showed increased enzymatic activity for C8 and C16 pNP esters. Molecular dynamics (MD) simulations showed that the interactions between the long alkyl chain substrate (C16) and Ser10 and Asn82 were strongest in Asn213Ala SrL. In addition to Asn82, Gly54, and Ser10, several new constituents of the substrate binding site were recognized (Lys28, Ser53, Thr89, and Glu212), as well as strong electrostatic interactions between Lys28 and Glu212. In addition to the H bonds Ser10–His216 and His216–Ser214, Tyr11 interacted strongly with Ser10 and His216 in all complexes with an active enzyme form. A previously unknown strong H bond between the catalytically important Asn82 and Gly54 was uncovered, which stabilizes the substrate in an orientation suitable for the enzyme reaction.
A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges

The rapid advancement of fifth-generation (5G)-and-beyond networks coupled with unmanned aerial vehicles (UAVs) has opened up exciting possibilities for diverse applications and cutting-edge technologies, revolutionizing the way connections, communications, and innovations unfold in the digital age. This paper presents a comprehensive survey of the deployment scenarios, applications, emerging technologies, regulatory aspects, research trends, and challenges associated with the use of UAVs in 5G-and-beyond networks. It begins with a succinct background and motivation, followed by a systematic UAV classification and a review of relevant works. The survey covers UAV deployment scenarios, including single and multiple UAV configurations. The categorization of UAV applications in 5G is presented, along with investigations into emerging technologies for enhancing UAV communications. Regulatory considerations encompassing flight guidelines, spectrum allocation, privacy, and safety are discussed. Moreover, light is shed on the latest research trends and open challenges in the field, with promising directions for future investigations identified, concluding with a summary of key findings and contributions. This survey serves as a valuable resource for researchers, practitioners, and policymakers in the UAV and communication domains. Additionally, it offers a comprehensive foundation for informed decision-making, fostering collaboration, and driving advancements in UAV and communication technologies to address the evolving needs of our interconnected world.
DNA Methylation and Bipolar Disorder

Bipolar disorder (BD) is one of the major psychiatric disorders, which damages the cognition, emotion, and physical activity of patients and causes a huge financial burden on families and society. As an important epigenetic mechanism, DNA methylation is stable and reversible and has been considered to be implicated in the development of bipolar disorder through regulating gene expression. Currently, the detection of abnormal DNA methylation positions or regions in BD is mainly based on candidate genes and epigenomic-wide DNA methylation profiling. For example, many researchers have focused on abnormal DNA methylation of BD risk genes, such as COMT, SLC6A4, BDNF, and CACNA1C. In epigenomic-wide DNA methylation association studies, researchers have identified a few novel BD-associated aberrant DNA methylation positions or regions by improving experimental design, including more subjects, and using new DNA methylation detection technologies. In addition, DNA methylation editing technologies can be used to precisely manipulate DNA methylation and de-methylation in vivo or in vitro and uncover how DNA methylation affects gene transcription, which can be used to scientifically clarify the epigenetic mechanisms underlying the pathogenesis of BD in future studies.
THE EFFECT OF VARIOUS LOCATION AND SOLVENT TO SAMBILOTO (Andrographis paniculata (Burm.f.) Nees) PHYTOCHEMICAL PROFILES

Background: Sambiloto (Andrographis paniculata (Burm.f.) Nees) is one of the traditional medicines that contain multiple phytochemical compounds. Phytochemical compounds can be influenced by growing location. Every location has its characteristic that affects the metabolic process of phytochemical compounds. Apart from that, the extraction solvent also plays an essential role in attracting compounds in sambiloto. The solvent is related to the polarity and can affect the phytochemical profile. Objective: This research aims to determine the effect of the growing location and extraction solvent of sambiloto on its phytochemical profile. Methods: Sambiloto from Denpasar (Dps), Sukoharjo (Skj), and Sleman (Slm) was extracted (1:10 w/v) using ultrasonic-assisted extraction in methanol 100% (MeOH100) and methanol 50% (MeOH50). In water solvents, extraction is carried out using the infusion method. Fingerprint analysis using HPTLC-Densitometry. The data obtained was analyzed further using principal component analysis (PCA). Results: Fingerprint analysis obtained peak data that varied in each extraction solvent. There are four major peaks in the chromatogram profile of each solvent. The peak chromatogram for each solvent also shows differences at each location. PCA analysis shows that the phytochemical content of sambiloto extract is divided into three main clusters. The distribution of the clusters is based on variations in the extraction solvent. Variations in growing location for each sambiloto also influence its phytochemical profile. However, these variations are still in the same quadrant for each solvent. Conclusion: The solvent determines more variations in the phytochemical profile of sambiloto extract than the growing location. Keywords: Sambiloto; Solvent; Location; Phytochemical; Principal Component Analysis
On the Incentive and Sustainability Impact of SDGs on Innovation in Small and Medium-Sized Tourism Enterprises (SMEs)

This paper investigates the influence of Sustainable Development Goals (SDGs) on innovation and sustainability in Small and Medium-sized Tourism Enterprises (SMEs) in Brazil. Through qualitative methods, including interviews and document analysis, the study explores how specific SDGs act as incentives for innovation, shaping employment strategies and responsible production processes within SMEs. The sustainability impact is evident in environmental conservation, community engagement, and responsible consumption. Despite notable achievements, challenges such as resource constraints persist, emphasizing the need for targeted support. The study concludes that aligning with SDGs positions Brazilian SMEs as contributors to global sustainability, promoting responsible and innovative business practices.
Migration and Elderly Care Work in Italy: Three Stories of Romanian and Moldovan Care Workers

In this paper we analyse three specific types of care work migration from Romania to Italy and the main challenges which they face, taking into account the specifics of the work and the type of migration chosen. The methodology is qualitative, based on 20 semi-structured online interviews with Romanian care workers and two interviews with stakeholders.
A Comprehensive Investigation of Performance Characteristics, Mechanical Properties and Durability Parameters of Self-compacting Concrete Containing Iron Slag as Coarse Aggregate

In this paper, iron slag is used as partial coarse aggregate substitution in Self-compacting concrete (SCC). The SCC samples tests were conducted after 28 days of water curing for samples with 0%, 10%, 20%, 30%, 40%, 50%, and 60% iron slag as coarse aggregate substitutes. This paper evaluates slump flow, V-funnel, L-box, compressive strength, flexural strength, splitting tensile strength, surface water absorption, capillary water absorption, electrical resistance, acid resistance, and ultrasonic pulse velocity (UPV) of concrete samples. Furthermore, scanning electron microscopy (SEM) of samples was investigated for evaluating cement paste microstructure. Samples containing 20%, 60%, and 60% iron slag as coarse aggregate substitute have higher compressive, flexural, and splitting tensile strength than control samples (about 18.4%, 28.6%, and 16.9% higher, respectively). In addition, using 10%, 20%, 30%, and 40% iron slag as coarse aggregate increased the compressive strength. Moreover, incorporating iron slag as a coarse aggregate decreased the mass loss of samples which were exposed to the acid environment compared to control specimens. Using iron slag as partial coarse aggregate substitution reduced the porosity of the cement matrix compared to control samples (based on SEM images).