Miracle-dz/UniFAR-FTUs huggingface dataset:
Accuracy Assessment of Numerical Morphological Models Based on Reduced Saint‐Venant Equations

Sustainable river management often requires long‐term morphological simulations. As the future is unknown, uncertainty needs to be accounted for, which may require probabilistic simulations covering a large parameter domain. Even for one‐dimensional models, simulation times can be long. One of the acceleration strategies is simplification of models by neglecting terms in the governing hydrodynamic equations. Examples are the quasi‐steady model and the diffusive wave model, both widely used by scientists and practitioners. Here, we establish under which conditions these simplified models are accurate. Based on results of linear stability analyses of the St. Venant‐Exner equations, we assess migration celerities and damping of infinitesimal, but long riverbed perturbations. We did this for the full dynamic model, that is, no terms neglected, as well as for the simplified models. The accuracy of the simplified models was obtained from comparison between the characteristics of the riverbed perturbations for simplified models and the full dynamic model. We executed a spatial‐mode and a temporal‐mode linear analysis and compared the results with numerical modeling results for the full dynamic and simplified models, for very small and large bed waves. The numerical results match best with the temporal‐mode linear analysis. We show that the quasi‐steady model is highly accurate for Froude numbers up to 0.7, probably even for long river reaches with large flood wave damping. Although the diffusive wave model accurately predicts flood wave migration and damping, key morphological metrics deviate more than 5% (10%) from the full dynamic model when Froude numbers exceed 0.2 (0.3).
Evaluation of pancreatic lipase and angiotensin-converting enzyme inhibitors from ethanolic extract of butterfly pea (Clitoria ternatea L.) flowers

Clitoria ternatea L. (CT) contains flavonoids, saponins, tannins, coumarins, steroids/triterpenoids, and essential oils. CT flowers have been used for ages to maintain good health in the Indonesian community. Based on the empirical use of CT, scientific studies are needed to establish its therapeutic values. The objectives of this research were to examine the quality parameters and analyze the activities of CT as antihyperlipidemic and antihypertensive in vitro . The total phenolic contents (TPC) and total flavonoid contents (TFC), as well as specific (identity, organoleptic examination, and the percentage of soluble compounds in certain solvents) and non-specific (water content, loss on drying, ash content, residual solvent, heavy metal, and microbial contamination) quality parameters were also evaluated. The antihyperlipidemic and antihypertensive activities were determined using lipase enzyme inhibition and angiotensin-converting enzyme (ACE) inhibition activity. The TPC and TFC of ethanolic extract of CT (EECT) were 38.30 ± 4.50 mg gallic acid equivalent/g extract and 29.379 ± 0.31 mg quercetin equivalent/g extract. The determined parameters satisfy the quality and safety requirements of the medicinal herb standard. The IC 50 values of the lipase enzyme and ACE inhibition of EECT were 131.79 ± 5.27 µ g/mL and 84.9653 ppm, respectively. CT extract inhibits both the lipase and ACE enzymes. The EECT has potential as an antihyperlipidemic and antihypertensive agent.
Checklist das categorias da CIF relevantes para o desenvolvimento de fala e linguagem

RESUMO Objetivo Criar um checklist da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) a partir de categorias relevantes para o desenvolvimento de fala e linguagem, segundo a percepção de pais e fonoaudiólogos. Método Realizou-se aplicação piloto e pesquisa. Na pesquisa participaram 100 pais de pré-escolares, com desenvolvimento típico de linguagem/cognição e 57 fonoaudiólogos especialistas em linguagem. Elaborou-se questionário com 199 categorias da CIF dos componentes de funções do corpo, atividades e participação e fatores ambientais. Cada categoria foi pontuada como: indispensável (2); importante (1) ou sem importância (0). Realizou-se a análise estatística (descritiva, soma, cluster/Método K-means e Mann-Whitney). Resultados Com a soma dos pontos (indispensável, importante e sem importância) e a quantidade de respostas indispensável, foram identificadas as categorias de maior relevância para cada grupo de respondentes, assim como o conjunto de categorias em comum (72 consideradas de maior influência). A listagem comum aos grupos contou com os três componentes: funções do corpo (30 categorias/40% do total), atividades e participação (35/49,29%) e fatores ambientais (sete/13,20%). Das categorias selecionadas, 58,33% apresentaram resultados estatisticamente significantes entre os grupos, quanto à relevância dada. Conclusão As categorias foram consideradas com pontuações distintas entre os grupos: as de funções do corpo foram mais pontuadas pelos fonoaudiólogos, enquanto as de fatores ambientais pelos pais. Assim, foi possível criar um checklist a partir da identificação das categorias mais relevantes para o desenvolvimento de fala e linguagem, em idade pré-escolar, contemplando os componentes funções do corpo, atividades e participação e fatores ambientais.
Antecedent of WOM and Its Implications on The Brand Image of The Higher Education Institution in Bali

The purpose of this study is to explain the Antecedent of WOM and Its Implications on The Brand Image of The Higher Education Institution in Bali. The results showed that the variables tangible, re- sponsiveness, and empathy had a positive and significant effect on satisfaction, while reliability and as- surance had a positive and insignificant effect on satisfaction. Furthermore, satisfaction has a positive and significant effect on WOM and on brand image, and WOM has a positive and significant effect on brand image. In the future higher education institutions in Bali should increase reliability and assurance in order to increase satisfaction.
Recharge and Head: Preliminary Findings Using a Long-Term Data Set

The validity of general perceptions or “truisms” about Long Island water table was tested using data from groundwater observation well in Suffolk County. A weak linear relationship was found between movement of the water table heads and cumulative differences of rainfall and available moisture. The response of water table height was found to correlate somewhat to deviations in monthly precipitation from two-year data trends. Annual patterns of water table heights did not conform to any consistent seasonal trend. Fluctuations in water table height suggested that water table extremes are not retained for long periods. It is difficult to generate absolute statement about a dynamic system affected by variable environmental factors.
Research on shaft resistance of rock-socketed piles based on the cavity expansion theory

ABSTRACT The shaft resistance of rock-socketed piles depends not only on the properties of its surrounding rock, but also on the radial force induced by the load imposed on the top of the pile. This paper deduced a plastic zone of rock around a single pile and obtained the shaft resistance of a rock-socketed pile based on the theories of cavity expansion and shear strength. The research results showed that the magnitude of the radial force in the socketed portion of a rock-socketed pile was related to the pile diameter, Poisson’s ratio, and properties of the surrounding rock. The influence area of rock decreased with increasing pile diameter. The radial force and lateral friction decreased with the increasing relative stiffnesses of the pile and rock. The radial stress on the elastic–plastic interface can be analytically determined based on the rock properties and depth. A field test was used to validate the proposed method, and a good agreement was obtained between the field data and predicted results of the proposed method. The research results in this paper are beneficial to guide actual practice.
The nurses perceived educational values and experience of journal club activities - A cross-sectional study in Qatar

BACKGROUND: Journal club (JC) is widely used as an educational method to support nurses in up-to-date clinical practices, acquire critical appraisal skills, and promote evidence-based nursing practice. Traditionally, JC activities were conducted as face-to-face sessions. However, after the emergence of the pandemic, many educational activities including JC turn to the online platform. This study aims to assess the perceived educational value of JC and the experience of virtual journal club (VJC) among nurses. MATERIALS AND METHODS: A cross-sectional research design was used to gather the information from the nurses using the Nursing journal club perception scale. A purposive sampling method was used to enroll 450 participants from the JC attendees of various facilities between May andAugust 2022. The data were analyzed using the Mann-Whitney U test and the Kruskal-Wallis test. RESULTS: The data from 450 participants were analyzed with a response rate of 40.1%. The majority of the participants were females (82.4%) and belonged to the 35-44 years' age group (39.6%). Mostly, the subjects were registered nurses or midwives (78%) and had more than 5 years of clinical experience (45.8%). The mean perceived educational value of JC and VJC was 62.9 ± 8.3 and 56.3 ± 8.9, respectively. The nurse educators are holding higher educational value of JC as compared to other participants including clinical nurses, charge nurses, head nurses, and director of nurses (P = 0.03). Additionally, 90% of participants strongly agreed that the nursing journal club helps them to disseminate and reinforce evidence-based practice, update their clinical knowledge, and was very informative. Furthermore, 80% of participants agreed that educational standards, social networking, and time allocation of the VJC are enhancing the chance of attending more sessions. CONCLUSION: The JC has a vital role in preparing nurses for promoting research culture and practicing evidence-based nursing care. The national health strategies are focused on improving research capabilities and enhancing research within the national context. The implementation of evidence-based practice in healthcare involves enhancing formal research opportunities, promoting continuing education in research, developing skills in addressing research gaps, and enhancing research-oriented cultures in healthcare facilities. The nursing leadership can play a key role to support the initiatives to develop and conduct nursing JC in their facilities to improve the nurse's research skills and evidence-based nursing practice.
Detection of human‐induced evapotranspiration using GRACE satellite observations in the Haihe River basin of China

Regional evapotranspiration (ET) can be enhanced by human activities such as irrigation or reservoir impoundment. Here the potential of using Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage data in water budget calculations to detect human‐induced ET change is investigated over the Haihe River basin of China. Comparison between GRACE‐based monthly ET estimate (2005–2012) and Global Land Data Assimilation System (GLDAS)‐modeled ET indicates that human‐induced ET due to intensive groundwater irrigation from March to May can only be detected by GRACE. GRACE‐based ET (521.7 ± 21.1 mm/yr), considerably higher than GLDAS ET (461.7 ± 29.8 mm/yr), agrees well with existing estimates found in the literature and indicates that human activities contribute to a 12% increase in ET. The double‐peak seasonal pattern of ET (in May and August) as reported in published studies is well reproduced by GRACE‐based ET estimate. This study highlights the unique capability of GRACE in detecting anthropogenic signals over regions with large groundwater consumption.
Linear brain measurement: a new screening method for cognitive impairment in elderly patients with cerebral small vessel disease

Background The old adults have high incidence of cognitive impairment, especially in patients with cerebral small vessel disease (CSVD). Cognitive impairment is not easy to be detected in such populations. We aimed to develop clinical prediction models for different degrees of cognitive impairments in elderly CSVD patients based on conventional imaging and clinical data to determine the better indicators for assessing cognitive function in the CSVD elderly. Methods 210 CSVD patients were screened out by the evaluation of Magnetic Resonance Imaging (MRI). Then, participants were divided into the following three groups according to the cognitive assessment results: control, mild cognitive impairment (MCI), and dementia groups. Clinical data were collected from all patients, including demographic data, biochemical indicators, carotid ultrasound, transcranial Doppler (TCD) indicators, and linear measurement parameters based on MRI. Results Our results showed that the brain atrophy and vascular lesions developed progressive worsening with increased degree of cognitive impairment. Crouse score and Interuncal distance/Bitemporal distance (IUD/BTD) were independent risk factors for MCI in CSVD patients, and independent risk factors for dementia in CSVD were Crouse Score, the pulsatility index of the middle cerebral artery (MCAPI), IUD/BTD, and Sylvian fissure ratio (SFR). Overall, the parameters with high performance were the IUD/BTD (OR 2.28; 95% CI 1.26–4.10) and SFR (OR 3.28; 95% CI 1.54–6.91), and the AUC (area under the curve) in distinguishing between CSVD older adults with MCI and with dementia was 0.675 and 0.724, respectively. Linear brain measurement parameters had larger observed effect than other indexes to identify cognitive impairments in CSVD patients. Conclusion This study shows that IUD/BTD and SFR are good predictors of cognitive impairments in CSVD elderly. Linear brain measurement showed a good predictive power for identifying MCI and dementia in elderly subjects with CSVD. Linear brain measurement could be a more suitable and novel method for screening cognitive impairment in aged CSVD patients in primary healthcare facilities, and worth further promotion among the rural population.
How counselling psychologists address issues of race with clients from black Asian and minority ethnic backgrounds: A discourse analysis

The prejudiced experiences that Black, Asian and Minority Ethnic (BAME) clients report when discussing culture, racial discrimination and race has been documented. However, research seldom investigates the practitioners’ interpretations when engaging with clients from non-White ethnic backgrounds. This raises questions about how professionals address individuals' needs in clinical and supervisory practice. Therefore, the present study shed light on the discourses counselling psychologists use to address and discuss issues of race and discrimination when talking with clients in clinical practice. Semi-structured interviews were conducted with a purposive sample of six counselling psychologists (mean age 40 years) who had engaged with clients or supervisees from a BAME background. A Discourse Analysis (DA) was employed to analyze dialogue used by participants in discussing race and discrimination in counselling psychology practice. This analysis yielded three main discourses when counselling psychologists described their therapeutic interactions with BAME clients and supervises. These were Systemic Institutional Racism; Legitimizing Racism; and Challenging Systemic Racism. The first two discourses alluded to similar repertoires present in the discussions of white counselling psychologist participants, whereas the discourse challenging systemic racism was constructed by BAME counselling psychologists. Findings indicate that becoming attuned and open to discussing race-related difficulties supports favorable outcomes in practice when engaging with BAME individuals. This research offers valuable implications for service provision across counselling and therapeutic practice.
Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods

This study employs Bayesian Symbolic Regression (BSR) to forecasting spot prices of various commodities. This novel method exhibits promising potential as a forecasting tool, especially in the context of variable (feature) selection. Yet, there is no much research on symbolic regression as a forecasting tool for prices time-series in economics and finance. BSR offers valuable capabilities for tackling the challenges of variable selection (feature selection) in econometric modeling, as well as, it is expected to deal with some other issues smoothly. Herein, the analysis is specifically tailored to time-series data representing commodity markets. The accuracies of BSR models are compared with those of some alternative models: Symbolic Regression with Genetic Programming, Dynamic Model Averaging, LASSO regression, Time-Varying Parameters regression, ARIMA, no-change forecasting, etc. Unlike previous simulations of BSR, that relied on synthetic data, this study employs real-world data from commodities markets. The findings are expected to provide valuable insights for researchers and practitioners interested in applying BSR in econometric and financial contexts in the future.
The role of IL-36 and 37 in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) has garnered considerable attention due to its morbidity and mortality. Although the precise mechanisms underlying HCC tumorigenesis remain to be elucidated, evidence suggests that host immunity plays a pivotal role in its development. IL-36 and IL-37 are important immunoregulatory cytokines classified as pro-inflammatory and anti-inflammatory respectively. In the context of HCC, the downregulation of intrahepatic IL-36 is inversely correlated with cirrhosis, but positively correlated with 5-year survival rates, suggesting that IL-36 offers protection during HCC development. However, IL-36 may lose its hepatoprotective effects as the disease progresses to HCC in the context of dysregulated immunity in cirrhotic patients. Substantially increased circulating IL-36 in HCC patients is likely a systemic response to HCC stimulation, but is insufficient to suppress progression towards HCC. Intrahepatic IL-37 is suppressed in HCC patients, consistent with the inverse correlation between intrahepatic IL-37 and the level of AFP in HCC patients, suggesting IL-37 exerts hepatoprotection. There is no significant difference in IL-37 among differentiations of HCC or with respect to clinical BCLC stages or cirrhosis status in HCC patients. However, IL-37 protection is demonstrated in an IL-37 transfected HCC animal model, showing significantly reduced tumour size. IL-36/37 may inhibit HCC by enhancing M1 tumour-associated macrophages while not affecting M2 macrophages. The interplay between IL-36 (pro-inflammatory) and IL-37 (anti-inflammatory) is emerging as a crucial factor in host protection against the development of HCC. Further research is needed to investigate the complex mechanisms involved and the therapeutic potential of targeting these cytokines in HCC management.
Towards Automated Regulatory Compliance Verification in Financial Auditing with Large Language Models

The auditing of financial documents, historically a labor-intensive process, stands on the precipice of transformation. AI-driven solutions have made inroads into streamlining this process by recommending pertinent text passages from financial reports to align with the legal requirements of accounting standards. However, a glaring limitation remains: these systems commonly fall short in verifying if the recommended excerpts indeed comply with the specific legal mandates. Hence, in this paper, we probe the efficiency of publicly available Large Language Models (LLMs) in the realm of regulatory compliance across different model configurations. We place particular emphasis on comparing cutting-edge open-source LLMs, such as Llama-2, with their proprietary counterparts like OpenAI’s GPT models. This comparative analysis leverages two custom datasets provided by our partner PricewaterhouseCoopers (PwC) Germany. We find that the open-source Llama-2 70 billion model demonstrates outstanding performance in detecting non-compliance or true negative occurrences, beating all their proprietary counterparts. Nevertheless, proprietary models such as GPT-4 perform the best in a broad variety of scenarios, particularly in non-English contexts.
Association between gubernacular canals characteristics and teeth eruption status: a cone-beam computed tomography study

Background There have been few studies that have evaluated the imaging characteristics of the gubernacular canal. Additionally, it is important to understand the role of this structure and its relationship with tooth erupt. Therefore, the objective of this study was to investigate the association between gubernacular canal features and teeth eruption status on cone-beam computed tomography (CBCT) images. Material and Methods In this cross-sectional study, 150 CBCT images were obtained from patients referred to a maxillofacial radiology clinic in Babol, northern Iran, in 2021. Eruption status (normal, delayed, and impacted) and the presence of the gubernacular canal were recorded. If the gubernacular canal was detected, its opening site in the alveolar crest (buccal, lingual, and central) and its attachment site to the dental follicle (usual, unusual) were further assessed. Results Gubernacular canal was observed in 133 (88.7%) of the total 150 CBCT images. Also, 41 cases (27.3%) had impacted teeth. The detection rate of the gubernacular canal in the normal, delayed, and impacted eruption of teeth was 92.1% (n=93), 75.0% (n=6), and 82.9% (n=34), respectively (p=0.135). Opening the gubernacular canal in the alveolar crest was not associated with teeth eruption status. Also, unusual attachment sites of the gubernacular canal to dental follicles were mostly seen in abnormal eruptions. Conclusions According to the findings, observing the presence of the gubernacular canal on CBCT may not help anticipate teeth eruption problems. Key words:Gubernacular canal, Cone-beam computed tomography, Tooth eruption.
Pragmatic deviation of politeness principle in Trump’s political speeches

The current study aimed to pragmatically explore the deviation from Leech's (2014) politeness maxims in the former president of the US Donald Trump's political speeches. A qualitative approach was followed to collect and analyze the data. Two oral documents; an interview and a speech that were taken from YouTube were adopted in this study as an instrumentation. These documents, which were selected purposively to saturate the data, were Trump's interview with Fox News Channel reporters, Martha MacCallum and Bret Baier in Scranton on March 6, 2020, and Trump's direct speech to the crowd in Illinois on June 25, 2022, in support of his candidates to win the Congressional election. A discourse analysis method was used to examine the data. The findings showed that Trump from the maxims to convince the people that his opponents are unacceptable, elect Trump's candidates, influence the crowd to change their views of the world, ruin his rivals' image, show his period as the US president incomparable and better than any US presidents, deny accountability, reject to release others from blame, influence the public that the election was stolen to invoke wrath among his supporters, express his hatred towards others, and vent his own feelings to make people sympathetic to him.