Miracle-dz/UniFAR-FTUs huggingface dataset:
The Inﬂuence of Stratiﬁcation and Nonlocal Turbulent Production on Estuarine Turbulence: An Assessment of Turbulence Closure with Field Observations

Field observations of turbulent kinetic energy (TKE), dissipation rate « , and turbulent length scale demonstrate the impact of both density stratiﬁcation and nonlocal turbulent production on turbulent momentum ﬂux. The data were collected in a highly stratiﬁed salt wedge estuary using the Mobile Array for Sensing Turbulence (MAST). Estimates of the dominant length scale of turbulent motions obtained from the vertical velocity spectra provide ﬁeld conﬁrmation of the theoretical limitation imposed by either the distance to the boundary orthe Ozmidovscale,whichever issmaller. Underboundary-limitedconditions, anisotropy generally increases with increasing shear and decreased distance to the boundary. Under Ozmidov-limited conditions, anisotropy increases rapidly when the gradient Richardson number exceeds 0.25. Both boundary-limited and Ozmidov-limited conditions demonstrate signiﬁcant deviations from a local production–dissipation balance that are largely consistent with simple scaling relationships for the vertical divergence in TKE ﬂux. Both the impact of stratiﬁcation and deviation from equilibrium turbulence observed in the data are largely consistent with commonly used turbulence closure models that employ ‘‘nonequilibrium’’ stability functions. The data compare most favorably with the nonequilibrium version of the L. H. Kantha and C. A. Clayson stability functions. Not only is this approach more consistent with the observed critical gradient Richardson number of 0.25, but it also accounts for the large deviations from equilibrium turbulence in a manner consistent with the observations.
: Association between child sexual abuse and adult mental

This review evaluates the quality of recent meta-analyses on child sexual abuse and adult psychopathology. Using systematic review methods, seven recently published, English-language meta-analyses met the inclusion criteria of assessing outcome of child sexual abuse. Some methodological weaknesses were identified, such as failure to assess the validity of the primary studies. Child sexual abuse was found to be a non-specific risk factor in the development of adult mental health difficulties, but the effect sizes varied (partly related to sample type and size). No gender difference was consistently found on adult mental health difficulties, but was for victims’ perceived mental health consequence. Future meta-analyses need to consider their methods of assessing primary studies to allow for an evidence-based model of adult psychopathology.
Identification of β-Lactamase in Antibiotic-Resistant Bacillus cereus Spores

ABSTRACT β-Lactamase type I is reported for the first time to occur in the sporulated form in a penicillin-resistant Bacillus species. The enzyme was readily characterized from the B. cereus 5/B line (ATCC 13061) by mass spectrometry and two-dimensional gel electrophoresis.
Behavior of Coarse Widely Graded Soils under Low Confining Pressures

Colluvial soils are usually coarse and widely graded. Shallow-seated failures occur frequently in colluvial soil deposits duringrain- fallinfiltration.Thispaperinvestigatesthebehaviorofcoarse,widelygradedsoilsunderverylowconfiningpressuresof5e25 kPa encountered in shallow-seated failures. Isotropic consolidation tests, drained triaxial tests, and undrained triaxial tests were conducted on several widely graded soils with different coarse contents but with the same void ratio of 0.62. With increasing coarse content, the soil microstructure changes froma fines-controlledstructuretoacoarse-controlledstructureafteracriticalcoarsecontentofapproximately70%. Siltysandwithgravelwith acoarsecontentclosetothecriticalvalueexhibitsthehighestcompressibilitybecauseofthepresenceoflargeinteraggregatepores.Evenunder very low confining pressures, such soil still shows strong contractive behavior during drained loading, and generates large positive pore-water pressures during undrained loading. This explains why shallow-seated failures occur frequently in colluvial soil deposits caused by rainfall infiltration.Soilswithlowerorhighercoarsecontentsthanthecriticalvaluemayshowdilativebehaviorunderthesamelowconfiningpressures. The critical statefriction angle increases with thecoarse content.DOI:10.1061/(ASCE)GT.1943-5606.0000755. ©2013American Society of Civil Engineers. CE Database subject headings: Coarse-grained soils; Compression; Landslides; Microstructure; Shear strength; Soil compaction; Soil pressure.
Data-driven subtypes of major depressive disorder

Background: Although a number of risk factors are known to predict mortality within the first years after myocardial infarction, little is known about interactions between risk factors, whereas these could contribute to accurate differentiation of patients with higher and lower risk for mortality. This study explored the effect of interactions of risk factors on all-cause mortality in patients with myocardial infarction based on individual patient data meta-analysis. Methods: Prospective data for 10,512 patients hospitalized for myocardial infarction were derived from 16 observational studies (MINDMAPS). Baseline measures included a broad set of risk factors for mortality, such as age, sex, heart failure, diabetes, depression and smoking. All two-way and three-way interactions of these risk factors were included in Lasso regression analyses to predict time-to-event related all-cause mortality. The effect of selected interactions was investigated with multilevel Cox regression models. Results: Lasso regression selected five two-way interactions, of which four included sex. The addition of these interactions to multilevel Cox models suggested differential risk patterns for males and females. Younger women (age < 50) had a higher risk for all-cause mortality than men in the same age group (HR 0.7 vs. 0.4), while men had a higher risk than women if they had depression (HR 1.4 vs. 1.1) or a low left ventricular ejection fraction (HR 1.7 vs. 1.3). Predictive accuracy of the Cox model was better for men than for women (area under the curves: 0.770 vs. 0.754). Conclusions: Interactions of well-known risk factors for all-cause mortality after myocardial infarction suggested important sex differences. This study gives rise to a further exploration of prediction models to improve risk assessment for men and women after myocardial infarction.
SPECIES DISTRIBUTION OF CANDIDA ISOLATES FROM THE PATIENTS WITH VULVOVAGINAL CANDIDIASIS IN TERTIARY CARE CENTRE, BIHAR

Background: Vulvovaginal candidiasis here is defined as isolation of Candida species in culture from study participants with sign and symptom of vaginal abnormalities. Vulvovaginal candidiasis, bacterial vaginosis, and trichomoniasis are the most common cause of vaginitis of which vulvovaginal candidiasis is the second most common after bacterial vaginosis. Materials and Methods: A cross sectional study was conducted from August 2021 to July 2022 at Department of Microbiology, SKMCH, Muzaffarpur, Bihar. Age groups of patients were classified following WHO guideline. Prior to sample collection, patients with genital tract problem were clinically investigated by gynecologists on duty and signs and symptoms of vaginal abnormalities were recorded. All vaginal swabs were then transferred without delay to the Department of microbiology, SKMCH Muzaffarpur, Bihar. Each Vaginal swab specimens were subjected to direct 10% KOH smear examination as well as cultured on CHROMagar™ Candida plates, incubated at 35 °C for 4 days to determine the co-infection rate of yeast species and distinguish between C. albicans, C. tropicalis, C. glabrata and C. krusei and other yeast species according to the manufacturer’s instructions. All agar plates were evaluated for the yeast growth and colony color every day. The presence of yeasts on agar plates was confirmed by the presence of budding yeast in wet preparations with 0.85% saline. All data from the investigation were coded, doubleentered, and analyzed using SPSS version 20. All ethical considerations and obligations were duly addressed, and the study was conducted after the approval of the Departmental Ethical Review Committee. SKMCH, Muzaffarpur, Bihar. Result: In the present study we assessed yeast carriage associated with vaginal candidiasis symptoms. The overall prevalence of vulvovaginal candidiasis was 44.1%. Younger women, between 15 and 24 years had a somewhat lower prevalence (31.5%) of vulvovaginal candidiasis, while in the 25 years and older group, the prevalence was between 45.0 and 50%. The adjusted odds ratio showed that vulvovvaginitis was not significantly associated with age (p = 0.33). Conclusion: High prevalence rate of vulvovaginal candidiasis and observation of a high prevalence rate of non-albicans Candida species in the present study warrants, the importance of conducting continuous epidemiological surveys to measure changes in species distribution from C. albicans to non-albicans Candida species.
Metadichol®, a Novel Nano Lipid Formulation that Inhibits SARS-COV-2 and a Multitude of Pathological Viruses in vitro

New pathogenic virus outbreaks, occurring with increasing regularity, are leading us to explore novel approaches, which will reduce the reliance on time-consuming vaccine modes to halt the outbreaks. The requirement is to find a universal approach to disarm any new and as yet unknown viruses as they appear. A promising approach could be targeting lipid membranes, which are common to all viruses and bacteria.The ongoing pandemic of severe acute respiratory syndrome-coronavirus 2 (SARS-COV-2) has reaffirmed the importance of interactions between components of the host cell plasma membrane and the virus envelope as a critical mechanism of infection. Metadichol®, a nano lipid emulsion, has been examined and shown to be a strong candidate to help stop the proliferation of SARS-COV-2.Naturally derived substances, such as long-chain saturated lipid alcohols, reduce the infectivity of various types of viruses, including coronaviruses such as SARS-COV-2, by modifying lipid-dependent attachment to human host cells. SARS-COV-2 uses the receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming.Metadichol®, a nano lipid formulation of long-chain alcohols, has been shown to inhibit TMPRSS2 (EC50 96 ng/ml). Compared to the inhibitor Camostat mesylate (CM) which has a EC50 of 26000 ng/ml, it is 270 times more potent. Additionally, Metadichol® is an inhibitor of ACE with an EC 50 of 71 ng/ml but extremely weak inhibitor of ACE2 at 31 µg/ml. Further a live virus assay in Caco2 cells, Metadichol® inhibited SARS-CoV-2 replication with an EC90 of 0.16 µg/ml.
How Hybrid IT Governance Mechanisms Influence Digital Transformation and Organizational Performance in the Banking and Insurance Industry of Indonesia

Incumbent businesses need to accelerate their digital transformation due to disruption from digital technologies, competition, behavioural changes, regulation, and pandemics. Nevertheless, many digital transformation investments have failed due to poor governance. Previous research has identified the hybrid of traditional and agile-adaptive IT governance mechanisms that influence digital transformation. However, it is important to measure the extent of mechanisms’ influence on organizational performance. Therefore, online survey data from 338 Indonesian banking and insurance respondents have been collected and analysed using the SEM-PLS. The results show that hybrid IT governance mechanisms have moderate influences on digital transformation, and digital transformation strongly influences organizational performance. The study contributes to research by analysing the effect of hybrid IT governance mechanisms on organizational performance, fully mediated by digital transformation. In practical terms, the measurement items from the hybrid IT governance mechanisms, digital transformation and organizational performance dimensions can be useful for guiding digital transformation journeys.
EXPLORING THE

Advancements in technology have revolutionized medical education, offering new opportunities for exploration. The integration of innovative pedagogical strategies, accelerated by the COVID-19 pandemic, has extended beyond traditional classroom boundaries. Synchronous and asynchronous learning have emerged as dynamic approaches to enhance medical instruction. Synchronous learning fosters real-time engagement and interaction, promoting active participation and immediate feedback. Asynchronous learning encourages flexibility and self-paced exploration, enabling learners to access resources at their convenience and promoting autonomy and reflective learning. Both approaches have advantages and challenges. Challenges in synchronous learning include fixed schedules and technical disruptions, whereas asynchronous learning faces issues of limited interaction and self-motivation. By harmonizing these two modes through a blended approach, a seamless continuum of education unfolds. The integration of these methods creates a symphony of pedagogical innovation, catering to the diverse needs of medical learners. By skillfully orchestrating these modalities, educators can curate meaningful learning experiences aligned with the evolving landscape of medical education.
The Study of Grey Relational Analysis and Artificial Neural Network for Forecasting Carbon Price

This paper uses economic variables and financial market indices, such as Baltic Dry Index, PJM electricity price, Brent crude oil future price, steel price index, Hot-Rolled Coil Steel Futures, interest rate, unemployment rate, stock index, money supply (M2), consumer price index, industrial production index, and Commodity Research Bureau futures index, which are related to the carbon price. Gray relational analysis (GRA) is employed in this research to determine variable rankings, and artificial neural network (ANN) models are utilized to forecast carbon prices. According to the results, the predictions of the high gray relation variables were superior to those of the low gray relation variables. Four ANN models, namely, feedforward with backpropagation network (BPN), principal component analysis network (PCA), radial basis function (RBF), and recurrent neural networks (RNN), were compared. The GRA model helped simplify the ANN model to facilitate carbon price forecasting, and the ANN model can effectively reduce forecasting errors. The results indicate that the RNN is more suitable for forecasting EU carbon allowances (EUA).
Identi�cation of potential hub genes of gastric cancer

Background Gastric cancer (GC) is a malignant tumor originated from gastric mucosa epithelium. It is the third leading cause of cancer mortality in China. The early symptoms are not obvious. When it is discovered, it has developed to the advanced stage, and the prognosis is poor. In order to screen for potential genes for GC development, this study obtained GSE118916 and GSE109476 from the GEO database for bioinformatics analysis. Methods First, GEO2R was used to identify differentially expressed genes (DEG) and the functional annotation of DEGs was performed by GO and KEGG analysis. The STRING tool was used to construct protein-protein interaction network and the most important modules and hub genes were mined. RT-qPCR assay was performed to verify the expression level of hub genes.
Introduction of nitrogen with controllable con ﬁ guration into graphene via vacancies and edges †

Doping with nitrogen in controllable con ﬁ gurations is very valuable to tailor the properties of graphene. Here we report density-functional theory calculations of chemical reactions of ammonia, a widely used nitrogen source, at vacancies and edges of graphene, through which we explore strategies to achieve N-doped graphene with optimized properties. We show that at di ﬀ erent defects, ammonia reacts to form nitrogen impurities in distinct con ﬁ gurations, i.e. graphitic-N at single vacancies, pyridinic-or pyrrolic-N at divacancies, pyrrolic-N at armchair edges, and N in a four-member ring at zigzag edges. Moreover, di ﬀ erent nitrogen-related defect con ﬁ gurations introduce distinct changes in the electronic structure of graphene. By calculating the core level shift of C 1s electrons, we ﬁ nd con ﬁ guration-dependent redistribution of electrons around the N-dopant. A discussion of how to achieve optimized doping and enhanced chemical reactivity in experiments is included.
Age constraints for the thermal evolution and erosional history of the central European Variscan belt: new data from the sediments and basement of the Carboniferous foreland basin in western Poland

Three Carboniferous-age detrital muscovites from the Variscan foreland basin of SW Poland and two muscovites from phyllites underlying the basement have been dated by the 40Ar/39Ar step-heating and single-crystal laser fusion method. 40Ar/39Ar analysis of the detrital micas defines step-heating preferred ages of 370.7 ± 1.4, 363.0 ± 1.9 and 355.0 ± 1.3 Ma. Single-crystal laser fusion data indicate little dispersion for the first of three samples, with an integrated age that closely matches the step-heating data, but the latter two describe inhomogeneous populations. The white mica concentrate from one phyllite yields a step-heating preferred age of 358.6 ± 1.8 Ma. The second phyllite sample displays an incremental discordant apparent age spectrum representing a mixture of white mica grains of varying ages. Our most important finding is that the Variscan foreland basin was supplied by source rocks that were exhumed and cooled in the Late Devonian, probably as a result of an early Variscan collisional event, previously largely undocumented. Although accessible exposures of the Variscan basement in SW Poland exhibit only a minor component of rocks exhumed before the Carboniferous, our work suggests that large tracts of rocks with a Devonian cooling signature are preserved at depth beneath the foreland basin.
Effects of humidity and Ca level on dry-matter and Ca accumulation by leaves of cucumber (Cucumis sativus L.)

Two cucumber cultivars (Corona and Rebella) were grown under a range of day and night humidity combinations and at two levels of Ca (180 and 270 mg I-1) in the nutrient solution applied to the rockwool substrate. High humidity increased the incidence of Ca defi-. cigacy symptoms and decreased the drvweTiTrToT the leaves. The concentration of Ca (%) in the leaf dry matter was reduced by high humidity at night in Experiment A and equally by high humidity during the day or night in Experiment^}. The response of the leaf tips (% Ca in the terminal 7 cm) was greater than that of the complete laminae, and similar to that of the total amount of Ca (mg) accumulated per complete lamina. Increasing the level of applied Ca increased the concentration of Ca (%) in the complete laminae and leaf tips, but the increase in total Ca per lamina (mg) was more marked. ‘Corona’ Had heavier leaves than ‘Rebella’ and a higher concentration of Ca (%), resulting in a greater accumulation of Ca (mg) per leaf lamina.
with wing microcatheter and pathologic results. malformations with polylene threads: techniques Preoperative embolization of arteriovenous

The technique with a wing microcatheter system and the pathologic aspects of 11 cerebral arteriovenous malformations (AVMs) surgically resected after embolization with polylene threads are reported. Embolization was performed once in eight patients and twice in three patients. Resected AVMs were submitted both to routine hematoxylin eosin examination and to immunohistochemical workup in order to detect the type of immunologic response to thread emboli. In nine cases, 50% or more of the nidus was obliterated by the embolization. After embolization two patients developed reversible neurologic deficits. Pathologic specimens of resected AVMs demonstrated no vascular necrosis; however, a moderate inflammatory response could be seen, characterized by the presence of both mononuclear cells and foreign-body giant cells, associated with the absence of polymorphonuclear infiltrates. A granulomatous fibrotic process was identified that was present from the first month after embolization. Immunohistochemis try indicated that the immunologic response to thread emboli was cell-mediated, not humoral.
The role of sonority cycles in the automatic recognition of formal lexical borrowings in Arabic

The question of automatic recognition of formal borrowings is one of the most difficult issues in theoretical and applied linguistics. Indeed, systematizing the identification process requires a fine processing of the morpho-phonological structures of lexemes , in this case triliteral roots , in order to extract distinctive variables likely to define more clearly those deemed exogenous to the linguistic system. In this perspective, the present paper investigates the sound scope of triliteral radicals in Standard Arabic. Through a quantitative and qualitative approach, drawing on a phono-lexical corpus of 6512 triliteral roots, we will place ourselves on the level of perception and try to unveil the correlates structuring the different lexemes endogenous and exogenous to the Arabic linguistic system. Our ultimate goal is to build the ground for a systematization of the automatic recognition of formal triliteral bor-rowings on the basis of the sound substrates of the tested entities
BLogic: A Bayesian Model Combination Approach in Logic Regression

With the increasing complexity and dimensionality of datasets in statistical research, traditional methods of identifying interactions are often more challenging to apply due to the limitations of model assumptions. Logic regression has emerged as an effective tool, leveraging Boolean combinations of binary explanatory variables. However, the prevalent simulated annealing approach in logic regression sometimes faces stability issues. This study introduces the BLogic algorithm, a novel approach that amalgamates multiple runs of simulated annealing on a dataset and synthesizes the results via the Bayesian model combination technique. This algorithm not only facilitates predicting response variables using binary explanatory ones but also offers a score computation for prime implicants, elucidating key variables and their interactions within the data. In simulations with identical parameters, conventional logic regression, when executed with a single instance of simulated annealing, exhibits reduced predictive and interpretative capabilities as soon as the ratio of explanatory variables to sample size surpasses 10. In contrast, the BLogic algorithm maintains its effectiveness until this ratio approaches 50. This underscores its heightened resilience against challenges in high-dimensional settings, especially the large p, small n problem. Moreover, employing real-world data from the UK10K Project, we also showcase the practical performance of the BLogic algorithm.