Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Evidence-Based Intervention on Teachers’ Mental Health Literacy: Systematic Review and a Meta-Analysis

The development of mental health among students has become a crucial objective and focus in numerous countries, with teachers serving as the primary guardians of their mental well-being. As such, enhancing teachers’ mental health literacy has emerged as a key strategy and priority in this endeavor. The purpose of this study is to conduct a comprehensive analysis of the experimental effects associated with improving teachers’ mental health literacy. The study seeks to provide substantiated evidence and innovative strategies for enhancing teachers’ mental health literacy. A systematic search was conducted using five English databases (PubMed, Web of Science, EBSCO, Springer Link, ProQuest) and three Chinese databases (WanFang, CNKI, and VIP) to identify controlled trials evaluating the immediate effect and tracking effect of the intervention experiment on enhancing teachers’ mental health knowledge, anti-stigma, willingness, or behavior to seek help. Relevant peer-reviewed articles (n = 20) were selected for further analysis through the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-P), with a total of 7446 subjects. The findings revealed that the immediate effect of the intervention on teachers’ mental health literacy, knowledge, stigma, and assistance-seeking had significant moderate to substantial effects. The tracking effect value for knowledge was only moderately significant, and the others were not significant. The analysis of subgroup moderating variables revealed that differences in national economic development level and cultural type did not have a significant impact on the intervention of teachers’ mental health literacy. The results of this review revealed that intervention experiments can effectively improve teachers’ mental health literacy. Hence, it is prudent to pay more attention to the intervention of teachers’ mental health literacy and strengthen the scientific design of experiments to improve the effectiveness of the intervention.
Optimization for Inconsistent Split Feasibility Problems

ABSTRACT The split feasibility problem deals with finding a point in a closed convex subset of the domain space of a linear operator such that the image of the point under the linear operator is in a prescribed closed convex subset of the image space. The split feasibility problem and its variants and generalizations have been widely investigated as a means for resolving practical inverse problems in various disciplines. Many iterative algorithms have been proposed for solving the problem. This article discusses a split feasibility problem which does not have a solution, referred to as an inconsistent split feasibility problem. When the closed convex set of the domain space is the absolute set and the closed convex set of the image space is the subsidiary set, it would be reasonable to formulate a compromise solution of the inconsistent split feasibility problem by using a point in the absolute set such that its image of the linear operator is closest to the subsidiary set in terms of the norm. We show that the problem of finding the compromise solution can be expressed as a convex minimization problem over the fixed point set of a nonexpansive mapping and propose an iterative algorithm, with three-term conjugate gradient directions, for solving the minimization problem.
Experimental Study on the Flow Pattern of Double-hemisphere Rough Elements with Different Streamwise Spacing

Particle image velocimetry is used to study the variation around single- and double-hemisphere rough elements with different streamwise spacings immersed in the boundary layer. Instantaneous velocity field information in the streamwise–normal and streamwise–spanwise directions is collected at a Reynolds number of 1800. 3R, 5R, and 7R are determined as the rough element spacing used in the double-hemisphere rough element experiment, representing the smaller, medium transition, and larger rough element spacing, respectively. The average velocity, Reynolds shear stress, shedding frequency, and proper orthogonal decomposition results of the flow field around the rough elements under various working conditions were compared. The downstream hemisphere will encroach on the streamline following the upstream hemisphere, and changing the spacing means changing the position of the encroached area. When the spacing is smaller, the streamline reattachment is destroyed, and the momentum and mass exchange between the two-hemisphere rough elements decreases. The double-hemisphere rough element is a slender, blunt, rough element. At the medium transition spacing, the shear layer and vortex structure shed from the upstream hemisphere are over the downstream hemisphere, and the double-hemisphere rough elements will cause disturbance in a larger wall-normal range. The streamline has been reattached at the larger streamwise spacing, and the interaction between the two hemispheres is the weakest. Here, the double-hemisphere rough element will form the recirculation zone, recirculation arch vortex, and periodic hairpin vortex.
Iron and Ferroptosis More than a Suspect: Beyond the Most Common Mechanisms of Neurodegeneration for New Therapeutic Approaches to Cognitive Decline and Dementia

Neurodegeneration is a multifactorial process that involves multiple mechanisms. Examples of neurodegenerative diseases are Parkinson’s disease, multiple sclerosis, Alzheimer’s disease, prion diseases such as Creutzfeldt–Jakob’s disease, and amyotrophic lateral sclerosis. These are progressive and irreversible pathologies, characterized by neuron vulnerability, loss of structure or function of neurons, and even neuron demise in the brain, leading to clinical, functional, and cognitive dysfunction and movement disorders. However, iron overload can cause neurodegeneration. Dysregulation of iron metabolism associated with cellular damage and oxidative stress is reported as a common event in several neurodegenerative diseases. Uncontrolled oxidation of membrane fatty acids triggers a programmed cell death involving iron, ROS, and ferroptosis, promoting cell death. In Alzheimer’s disease, the iron content in the brain is significantly increased in vulnerable regions, resulting in a lack of antioxidant defenses and mitochondrial alterations. Iron interacts with glucose metabolism reciprocally. Overall, iron metabolism and accumulation and ferroptosis play a significant role, particularly in the context of diabetes-induced cognitive decline. Iron chelators improve cognitive performance, meaning that brain iron metabolism control reduces neuronal ferroptosis, promising a novel therapeutic approach to cognitive impairment.
Analysis of gamma Doradus and delta Scuti Stars Observed by Kepler

The Kepler satellite observed over 2000 faint stars that were part of our Guest Observer proposals. The stars were selected from the Kepler Input Catalog (KIC) to be in or near the gamma Doradus or delta Scuti instability strips (8300 K > Te > 6200 K and 3.6 < log g < 4.7). The Kepler magnitude was <16 and the contamination factor was < 10 2 . The goal was to extend the search for \hybrid" delta Sct-gamma Dor pulsators to fainter magnitudes. By inspecting the light curves and Fourier transforms, we nd 42 delta Sct candidate stars, 299 gamma Dor candidates, and 36 \hybrid" candidate stars showing both types of variations.
Assessing Factors Influencing Online Shopping Adoption Among Indonesian Consumers: A Quantitative Study

The adoption of online shopping has significantly increased in recent years, particularly in developing countries such as Indonesia. This study aims to assess the factors influencing the adoption of online shopping among Indonesian consumers. A quantitative research approach was used, and data were collected from 350 Indonesian consumers through a structured questionnaire. The results indicate that perceived usefulness, perceived ease of use, website design quality, trust in online shopping, online shopping experience, and website security are significant factors influencing online shopping adoption among Indonesian consumers. These findings suggest that online retailers and marketers should focus on enhancing the user-friendliness and safety of their online shopping platforms to increase consumer trust and adoption. Additionally, policymakers should consider further investing in improving e-commerce infrastructure and growing awareness about the benefits of online shopping to promote the adoption of online shopping among Indonesian consumers.
Control Variates for Monte Carlo Valuation of American Options

This paper considers two applications of control variates to the Monte Carlo valuation of American options. The main contribution of the paper lies in the particular choice of a control variate for American or Bermudan options. It is shown that for any martingale process used as a control variate, it is optimal to sample no later than the time of exercise of the American option, as opposed to the time of expiry. The first application is to the valuation. Numerical examples show that standard errors can be dramatically reduced, allowing for faster valuation using fewer paths. Second, the control variate technique is used for improving the least-squares Monte Carlo (LSM) approach for determining exercise strategies. The suggestions made allow for more efficient estimation of the continuation value, used in determining the strategy. An additional suggestion is made in order to improve the stability of the LSM approach. It is suggested to generate paths for the LSM estimation from an initial distribution rather than the single initial point. Numerical examples show that the two LSM modifications improve the accuracy and stability of the exe
Influence of the polarity of the interplanetary magnetic field on the annual and diurnal variations of the magnetic activity

The annual variation of magnetic activity and its variation with universal time are analyzed separately for days sorted according to the polarity of the interplanetary magnetic field (IMF). A coherent interpretation of the observed effects is obtained (1) by taking into account the variations of the southward component of IMF in GSM (geocentric solar magnetospheric) coordinates, as was suggested by Russell and McPherron (1973) (the effect expected from this mechanism is calculated and compared to the observed ones), and (2) in the case of Am, by taking into account the annual and diurnal variations of the angle between the dipole axis and the earth-sun line.
Factors Associated with Mother-to-Child Transmission of HIV at the Maternity Unit of the Castors Urban Health Center in Bangui

Introduction: In spite of significant progress towards eliminating mother-to-child transmission (MCT) of HIV by 2025, trends in vertical mother-to-child transmission are still worrying in sub-Saharan African countries. This study aims to take stock of the factors associated with HIV MCT at the level of peripheral health training. Patients and Methods: This was a de-scriptive and analytical retrospective study, over a five-year period from January 1 st , 2017 to December 31 st , 2021. The study population was represented by HIV-positive women and their cared infants in the Parent-Child Transmission Prevention Unit (PCTP) of the Castors Urban Health Center (CUHC
Development of a New Oscillating-Wing Wind and Hydropower Generator

The extraction of energy from wind or water streams is generally accomplished by means of rotary systems. However, it is recognized (and it has been demonstrated) that oscillating wings can also be used for this purpose. A newly developed oscillating-wing windand hydropower generator is described. Its potential for the generation of electric power from tidal flows and high-altitude jet streams is studied using 2D Navier-Stokes simulations. Results for a single NACA0014 wing power generator undergoing non-sinusoidal pitchplunge motion indicates a 30% increase in power both power generated and efficiency over that for sinusoidal motion.
LogRule: Efficient Structured Log Mining for Root Cause Analysis

Accurate, timely Root Cause Analysis (RCA) is essential to successful IT operations as a primary step to incident remediation. RCA automation using data mining techniques in large heterogeneous systems is, however, a challenging task, because it requires correlating multimodal information across various data sources. An increasing number of services are migrating to structured logging to enable automated monitoring and debugging of complex large-scale systems. In this paper, we leverage structured logs and association rule mining (ARM) to automate RCA. We propose the LogRule algorithm, which automatically analyzes structured logs to generate a list of explanations for an event of interest. It achieves 0.921 F1-score for the diagnosis task, while computing results 37x faster compared to the state-of-the-art solution based on FP-growth, making it a time-efficient, accurate, and interpretable ARM-based RCA algorithm. Evaluation results show that LogRule enables RCA in complex multidimensional datasets, where the execution time of the current state-of-the-art algorithm is prohibitively large.
Scaling of the MHD perturbation amplitude required to trigger a disruption and predictions for ITER

The amplitude of locked instabilities, likely magnetic islands, seen as precursors to disruptions has been studied using data from the JET, ASDEX Upgrade and COMPASS tokamaks. It was found that the thermal quench, that often initiates the disruption, is triggered when the amplitude has reached a distinct level. This information can be used to determine thresholds for simple disruption prediction schemes. The measured amplitude in part depends on the distance of the perturbation to the measurement coils. Hence the threshold for the measured amplitude depends on the mode location (i.e. the rational q-surface) and thus indirectly on parameters such as the edge safety factor, q95, and the internal inductance, li(3), that determine the shape of the q-profile. These dependencies can be used to set the disruption thresholds more precisely. For the ITER baseline scenario, with typically q95 = 3.2, li(3) = 0.9 and taking into account the position of the measurement coils on ITER, the maximum allowable measured locked mode amplitude normalized to engineering parameters was estimated to be a·BML(rc)/Ip = 0.92 m mT/MA, or directly as a fraction edge poloidal magnetic field: BML(rc)/Bθ(a) = 5 · 10−3. But these values decrease for operation at higher q95 or lower li(3). The analysis found furthermore that the above empirical criterion to trigger a thermal quench is more consistent with a criterion derived with the concept of a critical island size, i.e. the thermal quench seemed to be triggered at a distinct island width.
Evaluation of a Resorcinarene-Based Sorbent as a Solid-Phase Extraction Material for the Enrichment of L-Carnitine from Aqueous Solutions

We present five new sorbents for the evaluation of the pre-concentration of L-carnitine. The sorbents were obtained from copolymerization between butylmethacrylate (BuMA) and ethylene dimethacrylate (EDMA), which were physically modified on their surface by each one of the five synthetized resorcinarenes of variable chain length studied, with long-chain resorcinarenes exhibiting better fixation on the copolymer. The characterization of the synthesized resorcinarenes was done using FTIR-ATR, 1H NMR, 13C NMR, and mass spectrometry, while characterization of the sorbents was done using FTIR-ATR and scanning electron micrography (SEM). The molecular interaction between L-carnitine and the synthesized resorcinarenes was studied in DMSO via 1H-NMR spectroscopy and, in the gas phase, via electrospray ionization-mass spectrometry (ESI-MS). The results showed that the short-chain resorcinarenes underwent a stable interaction with the neurotransmitter. Once the sorption of resorcinarenes on the copolymer was accomplished, the best parameters for the evaluation of the L-carnitine preconcentration were established. The solution tests were carried out through LC/MS analysis, obtaining better results for L-carnitine absorption with the short-chain resorcinarenes such as tetra(ethyl)calix[4]resorcinarene and tetra(propyl)calix[4]resorcinarene.
Robust Matrix Completion for Elliptic Positioning in the Presence of Outliers and Missing Data

Elliptic target positioning from the bistatic ranges (BRs), as an emerging localization scheme, has recently gained considerable traction for its diverse applications in multistatic systems such as radar, sonar, and wireless sensor networks. This contribution extends the work of previous research on the low-rank property of the BR matrix (Xiong, “Denoising of BRs for elliptic positioning (EP),” IEEE Geosci. Remote Sens. Lett. , vol. 20, pp. 1–3, 2023, Art. no. 3500503) to the brand new use case of robust EP in the presence of missing data. Due to the structures of the outlier-inducing errors when embodied in the BR matrix, many of the off-the-shelf low-rank matrix completion (LRMC) solutions cannot be applied. We address this challenge by formulating the problem of outlier-resistant BR matrix recovery as constrained minimization of an $\ell _{2,1}$ -norm-based loss function and devising an algorithm based on alternating direction method of multipliers (ADMMs) to efficiently solve the resultant LRMC. Simulations are conducted to demonstrate the efficacy of the developed robust EP technique in various localization scenarios.
Pengaruh Brand Image dan Brand Ambassador Terhadap Purchase Decision melalui Brand Trust sebagai Intervening

This study aims to determine whether there is an influence of brand image and brand ambassador on purchase decision through brand trust as an intervening agent for MS Glow consumers in Samarinda City. This study used a quantitative method by collecting data by distributing questionnaires to respondents. The research was conducted on 100 female respondents in the age range of 17-41 years who live in Samarinda City and have purchased MS Glow Beauty Skincare. The sampling technique used in this study was non-probability sampling with purposive sampling method an online. The data that has been collected is then processed using the SmartPLS 3.2. 9 analysis tool with the Structural Equation Modeling (SEM)-PLS method. The results of the study show that there is a positive and significant influence on brand image and brand ambassadors on brand trust. However, brand image and brand ambassador have a negative and insignificant effect on purchase decision. Based on the results of the specific indirect effect, brand trust managed to mediate in a positive and significant way the influence of brand image and brand ambassador on purchase decision.
INCIDENCE OF TRAUMA TO ANTERIORS AND ITS ASSOCIATED ETIOLOGICAL RISK FACTORS:

Objectives: Aim of this study was to see the incidence of TDIs particularly to anteriors and their associated presenting complaints, etiological and risk factors reported to OPD of Operative Department of De ’Mont Morency College of Dentistry. Methods: A proforma comprising of pre designed questions was used to do a cross- sectional survey, which included all the incoming patients having a history of dental trauma particularly to anterior teeth over a period of 7 months from Jan 2017 till July 2017.Results: Total number of 129 trauma patients were considered. In these patients, 58.9% were males and 40.3% females.10-20 years age group was considered as most common. N= 53.5% patients got greater than normal overjet which is more than half. And competency of lip was found in 67.4% of patients and absent in 31.8% of patients. Conclusion: The concept behind studying various etiological and risk factors is to facilitate the planning of preventive measures for traumatic dental injuries.
Type 2 Diabetes Mellitus, Non-Alcoholic Fatty Liver Disease, and Metabolic Repercussions: The Vicious Cycle and Its Interplay with Inflammation

The prevalence of metabolic-related disorders, such as non-alcoholic fatty liver disease (NAFLD) and type 2 diabetes mellitus (DM2), has been increasing. Therefore, developing improved methods for the prevention, treatment, and detection of these two conditions is also necessary. In this study, our primary focus was on examining the role of chronic inflammation as a potential link in the pathogenesis of these diseases and their interconnections. A comprehensive search of the PubMed database using keywords such as “non-alcoholic fatty liver disease”, “type 2 diabetes mellitus”, “chronic inflammation”, “pathogenesis”, and “progression” yielded 177 relevant papers for our analysis. The findings of our study revealed intricate relationships between the pathogenesis of NAFLD and DM2, emphasizing the crucial role of inflammatory processes. These connections involve various molecular functions, including altered signaling pathways, patterns of gene methylation, the expression of related peptides, and up- and downregulation of several genes. Our study is a foundational platform for future research into the intricate relationship between NAFLD and DM2, allowing for a better understanding of the underlying mechanisms and the potential for introducing new treatment standards.
The effect of screening on the health burden of chlamydia: An evaluation of compartmental models based on person-days of infection

Sexually transmitted diseases are detrimental to the health and economic well-being of society. Consequently, predicting impending outbreaks and identifying effective disease interventions through the use of epidemiological tools, such as compartmental models, is of the utmost importance. Unfortunately, traditional compartmental models, specifically the differential equation models attributed to the work of Kermack and McKendrick, require either a duration of infection that follows the exponential or Erlang distribution, despite the biological invalidity of such assumptions. As these assumptions negatively impact the quality of model predictions, alternative approaches are required that capture the variability in the duration of infection, along with its associated effects on the trajectory of disease, and in the evaluation of disease interventions. So, we apply an entirely new family of differential equation compartmental models based on the quantity, "person-days of infection," to predict the trajectory of a disease. Importantly, this new family of models can alternative duration of infection distributions. As proof of concept, we calibrate our model to recent trends of chlamydia incidence in the United States and utilize a general statistical distribution that features periodic hazard rates. We then evaluate how increasing sexually transmitted disease screening rates alter predictions of incidence and saves disability adjusted life-years over a 5-year horizon. Our findings illustrate that increasing the annual screening rate of chlamydia from 35% to 40%-70% would annually avert 6.1-40.3 incidence and 1.68-11.14 disability adjusted life-years per 1000 people. This suggests increasing the screening rate of sexually transmitted diseases in the United States would greatly aid in ongoing public health efforts to curtail the rising trends in preventable sexually transmitted diseases.