Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationships between childhood trauma and mental health during the COVID-19 pandemic: a network analysis

Background Childhood trauma has been found to have an important impact on mental health. However, little is known regarding the intercorrelations between childhood trauma and mental health during the COVID-19 pandemic. This study aimed to investigate such complex interplay between childhood trauma, depression, anxiety, post-traumatic stress level during the COVID-19 pandemic, and fear of COVID-19 using network analysis. Methods A total of 1,247 college students were recruited and were asked to complete a series of questionnaires, including the Childhood Trauma Questionnaire, Patient Health Questionnaire, Generalized Anxiety Disorder Scale, Post-traumatic Stress Checklist—Civilian version, and Fear of COVID-19 Scale. The Gaussian graphical model with the scores of the questionnaires as nodes was estimated. The partial correlations between nodes were calculated as edges. Moreover, network comparison tests were conducted to compare the network patterns between participants with high levels of childhood trauma and low levels of childhood trauma. Results Childhood trauma was found to be connected to depression, anxiety, and post-traumatic stress level. The node of childhood trauma exhibited the strongest strength and the highest expected influence in the network. Participants with high levels of childhood trauma and participants with low levels of childhood trauma showed comparable network structure and global strength. Conclusion Our findings revealed a complex network pattern between childhood trauma and different mental health problems, indicating that childhood trauma might be a risk factor for mental health during the COVID-19 pandemic.
Using Plant Functional Traits to Define the Biomass Energy Potential of Invasive Alien Plant Species

The eradication of invasive alien plant species (IAPS) is mandatory worldwide, but the resulting biomass is still considered waste. The energy use of biomasses obtained from IAPS eradication may represent ecological and economic benefits, creating synergies with restoration projects. We evaluated whether the growth forms and functional types identified using the functional space of 63 IAPS corresponded to a possible bioenergy use through multivariate analysis techniques. We extracted leaf and nutrient traits and Grime’s CSR plant strategies from an existing database. We calculated the carbon-to-nitrogen ratio (C:N) and gross heating value (GHV) as indicators of biochemical or thermal processes, respectively. For 10 species, we measured the above-ground biomass C:N and GHV (including leaves, stems and branches) and correlated them with those of leaves and with plant adaptive strategies. We identified four groups of IAPS indicative of the main trade-offs between plant economics and size variation, which respectively correlated with C:N and GHV. Herbaceous IAPS were better suited to biochemical processes, and woody IAPS to thermal ones. Overall, Grime’s CSR strategies were the best tool to define the IAPS bioenergy potential. In the long term, competitive and ruderal IAPSs can represent a reusable feedstock until their complete eradication.
Terrain Visual Cue Analysis for Simulating Low-Level Flight: A multidimensional Scaling Approach

Abstract : Multidimensional scaling was used to analyze the features of real- world terrain that are salient to pilots during low-level flight. The stimuli were nine short (5-second duration) videotape segments depicting low-level, high-speed flight over a variety of terrain types. The segments were paired in all possible combinations, yielding a total of 36 stimulus pairs. Fifteen experienced pilots rate the visual similarity of each terrain pair on a 10-point scale anchored at 0 with Highly Dissimilar and at with Highly Similar. The rating data were submitted to a nonmetric multidimensional scaling analysis using the procedure ALSCAL. A two-dimensional solution yielded dimensions corresponding to (a) terrain flatness/verticality, and (b) a composite of the size, density and spacing of scene elements. The only two A-10 pilots in the investigation weighted Dimension 2 much more heavily than did any other subjects. These results suggest that (a) efforts should be directed toward effectively modeling vertical features such as hills and ridge lines in simulator visual scenes; (b) a high density of small-scale and closely spaced scene elements (e.g., desert bushes) is less effective than larger-scale, more distinguishable scene elements (e.g., buildings); and (c) mission requirements for certain aircraft (e.g., the V-10) may place special emphasis on particular types of scene content.
Monetary Policy Surprises Shocks Under Different Fiscal Regimes: A Panel Analysis of the Euro Area

We study the effect of monetary policy surprise shocks on real output and the price level, conditioned on different fiscal stances in the period 2001Q4-2021Q4 for a panel of the 19 countries of the Euro Area. Applying local projection methodology, we find that the effect of monetary shocks depends on each country's fiscal stance, specifically, if for output response the debt is more important in the effect of monetary policy, for prices, the "Ricardian" nature of fiscal policy appears to be far more crucial. However, regarding inflation targeting, monetary policy is most effective in the low debt regime and in the high fiscal sustainability one. Our results are robust to different specifications and models and have important policy implications notably for monetary policy, which should consider different fiscal stances when pursuing specific monetary policy objectives
Current insights into the interplay between gut microbiota-derived metabolites and metabolic-associated fatty liver disease

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a prevalent and challenging disease associated with a significant health and economic burden. MAFLD has been subjected to and widely investigated in many studies; however, the underlying pathogenesis and its progression have yet to understand fully. Furthermore, precise biomarkers for diagnosing and specific drugs for treatment are yet to be discovered. Increasing evidence has proven gut microbiota as the neglected endocrine organ that regulates homeostasis and immune response. Targeting gut microbiota is an essential strategy for metabolic diseases, including MAFLD. Gut microbiota in the gut-liver axis is connected through tight bidirectional links through the biliary tract, portal vein, and systemic circulation, producing gut microbiota metabolites. This review focuses on the specific correlation between gut microbiota metabolites and MAFLD. Gut microbiota metabolites are biologically active in the host and, through subsequent changes and biological activities, provide implications for MAFLD. Based on the review studies, gut-liver axis related-metabolites including short-chain fatty acids, bile acids (BAs), lipopolysaccharide, choline and its metabolites, indole and its derivates, branched-chain amino acids, and methionine cycle derivates was associated with MAFLD and could be promising MAFLD diagnosis biomarkers, as well as the targets for MAFLD new drug discovery.
Treatment of worry and comorbid symptoms within depression, anxiety, and insomnia with a group-based rumination-focused cognitive-behaviour therapy in a primary health care setting: a randomised controlled trial

Introduction Repetitive negative thinking (RNT) has been described as a maintaining transdiagnostic factor for psychopathology within the areas of depression, anxiety and insomnia. We investigated the effects of rumination-focused cognitive-behaviour therapy (RF-CBT) in a group format at a primary health care centre on symptoms of depression, anxiety, insomnia, RNT, and quality of life. The participants presented clinical symptom levels of worry and at least two disorders among anxiety disorders, major depressive disorder, and insomnia disorder. Methods A randomised controlled superiority parallel arm trial was used. 73 participants were included and randomised in pairs to either group-administered RF-CBT or a waiting list condition. The primary outcomes were self-rated worry and transdiagnostic symptoms (depression, anxiety, and insomnia). Intention-to-treat analyses of group differences were conducted using linear mixed models. Adverse side effects and incidents were presented descriptively. Results Group RF-CBT significantly reduced self-reported insomnia at post-treatment and self-reported insomnia and depression at the 2 month-follow-up, relative to the wait-list control group. There was no significant difference in change in RNT, anxiety, or quality of life. Discussion The current study suggests that group-administered RF-CBT may be effective for insomnia and potentially effective for depression symptomatology. However, the study was underpowered to detect small and moderate effects and the results should therefore be interpreted with caution.
Ondes de gravité atmosphériques observées par un réseau mondial de microbaromètres

L'organisation du traite d'interdiction complete des essais nucleaires (OTICE) dispose actuellement d'un reseau mondial de quarante-deux stations operationnelles qui enregistrent les fluctuations de pression atmospheriques produites au niveau du sol par les ondes infrasonores. Cette these demontre que la plupart de ces stations detectent egalement, avec une grande precision, les fluctuations de pression dans toute la bande des ondes de gravite. Ce travail inclut la realisation et l'analyse de plusieurs experiences de metrologie en laboratoire et d'une campagne de mesure temporaire (M2008) deployee en Mongolie en 2008. La planification puis l'interpretation des donnees de ces experiences a conduit au developpement d'un nouveau modele lineaire spectral numerique pour simuler la generation et la propagation des ondes de gravite. Ce modele est notamment utilise pour quantifier les ondes de gravite induites par le refroidissement atmospherique produit lors d'une eclipse de Soleil. Les fluctuations de pression attendues au niveau du sol lors de l'eclipse du 1er aout 2008 sont estimees et comparees aux donnees enregistrees par les stations infrasons de l'OTICE et du reseau M2008. Une analyse detaillee de ces donnees a montre l'existence de deux ondes avec des caracteristiques temps-frequence similaires aux ondes simulees pour des refroidissements stratospherique et tropospherique. Ceci constitue a notre connaissance un resultat original. La validation des enregistrements de pression dans toute la bande des ondes de gravite a permis de mener des etudes statistiques pluriannuelles et d'echelle mondiale sur les spectres d'ondes de gravite et les marees atmospheriques. Ces travaux de these ont conduit a la publication de deux articles. Un troisieme est en preparation.
The durable effect of acupuncture for episodic migraine: a systematic review and meta-analysis

Background Migraine is a common and recurrent type of headache. Avoiding trigger factors is not often successful in reducing headache frequency, duration, and severity. Prophylactic medications may be effective but are limited by strict indications and daily medication intake. This review aimed to investigate the durable effect of acupuncture on episodic migraine. Methods Seven databases including Medline, Embase, PubMed, etc., were searched for English and Chinese literature from their inception to 23 November 2022. Two independent reviewers screened the retrieved studies and extracted the data. Primary outcomes were monthly migraine days, monthly migraine attacks, and VAS score at 3 months post-treatment. The risk of bias in included studies was assessed using the Cochrane Risk of Bias 2.0 tool. Meta-analysis was conducted where applicable. Results Fifteen studies were included in this review. Acupuncture reduced the number of migraine attacks (MD -0.68; 95% CI –0.93, −0.43; p < 0.001), the number of days with migraine (MD –0.86; 95% CI –1.18, −0.55; p < 0.001), and VAS score (MD –1.01; 95% CI –1.30, −0.72; p < 0.001) to a greater degree than sham acupuncture at 3 months after treatment. Significant differences in reducing pain intensity of migraine in favor of acupuncture compared with waitlist (MD –1.84; 95% CI –2.31, −1.37; p < 0.001) or flunarizine (MD –2.00; 95% CI –2.35, −1.65; p < 0.001) at 3 months after treatment were found, and the differences reached the minimal clinically important difference (MCID). Conclusion This review found that the durable effect of acupuncture for episodic migraine lasted at least 3 months after treatment. More high-quality studies with longer follow-up periods in the future are needed to confirm the findings.
Are Estimates of the Concentration of Alcohol Consumption Affected by Undercoverage? Evidence from Five Pooled U.S. Surveys

Conclusions concerning the properties of alcohol consumption distributions are often based on surveys that underestimate the amount consumed by sampled populations. Relationships between underreporting of alcohol consumption and the concentration of heavy drinking could present problems for several important research findings. Using data from five US telephone surveys, we compared state-level survey estimates of alcohol consumption and concentration with published estimates based on sales and taxes. Demographic factors predicting undercoverage were assessed in a multilevel analysis. Concentration was not significantly related to coverage, but it was related to rates of any drinking. State-level undercoverage was predicted by the proportion of males, younger age, political conservatism, Hispanic ethnicity, and the proportion of ethanol sold as spirits. Additional research is needed to determine the consequences ofthe relationships between these factors and undercoverage, but national estimates ofconsumption distribution properties are unlikely to be affected greatly by low coverage rates.
Temperature and pH Optimization for Protease Production Fermented by Yarrowia lipolytica from Agro-Industrial Waste

The use of yeasts for the production of proteases has increased in demand in recent years. Y. lipolytica has been reported as a strain with high yields of protease production. This work aimed to evaluate the impact of pH and temperature on the production of proteases using Y. lipolytica in solid-state fermentation (SSF). Soybean, canola meal, cottonseed meal, and sesame meal wastes were used as nutrient sources at seven pH levels (4, 5, 6, 7, 8, 9, 10) and five temperatures (25, 30, 35, 40, 45 °C). The waste source and optimal conditions for maximum enzyme production (EP) were obtained by Box–Benhken design. The results revealed that at pH of 7, temperature of 30 °C, and for 48 h cultivation period, canola meal showed the best EP with 188.75 U/L, followed by soybean with 117.07 U/L, cottonseed meal with 66.71 U/L, and sesame with the lowest production, reaching 88.5 U/L up to 35 °C. The temperature factor exhibited the greatest effect on protease production. The biotechnological and economic potential of canola meal in the production of enzymes is highlighted.
The Effect of Self-Awareness and Self-Regulated Learning on Student Mathematics Learning Outcomes

In this era mathematics is still seen as a frightening subject by students so that it has an impact on mathematics learning outcomes. Internal factors that influence the results of learning mathematics are Self-Awareness and Self-Regulated Learning. This study aims to determine whether there is an effect of Self-Awareness and Self-Regulated Learning on students' mathematics learning outcomes. This research is a quantitative study with multiple regression analysis. The sample in this study were class VII students of SMP N 4 Yogyakarta and SMP N 1 Yogyakarta who were taken by simple random sampling technique as many as 150 students. The instruments used were questionnaires and students' mathematics UTS scores. The results of this study are (1) there is an effect of self-awareness on students' mathematics learning outcomes, (2) there is an effect of self-regulated learning on students' mathematics learning outcomes, (3) there is a significant effect between self-awareness and self-regulated learning on student mathematics learning outcomes with sig SPSS results. > 0.05 (0.00 > 0.05).
Comparative Analysis of Indoor Localization across Various Wireless Technologies

This article examines the comparative effectiveness of three indoor node localization techniques—Multilateration, the Weighted Centroid algorithm, and Grid-based Received Signal Strength (RSS)—in wireless networking applications. The comparison is based on their performance against localization accuracy using RSS Indicator (RSSI) data in three experiments. The experiments utilized internally generated or real-world datasets with RSSI values for the unknown tag nodes. The datasets were obtained from various sources and evaluated in different scenarios to determine the efficiency of the three localization techniques. The results were evaluated and compared using mean error and standard deviation metrics. The findings indicate that trilateration achieves superior localization accuracy and precision in a Bluetooth Low Energy (BLE) environment compared to Wi-Fi and ZigBee. The Centroid technique showed the highest resistance to noise and outliers but is positioned biased (unlike Trilateration). Besides that, the Grid-based RSS technique is highly sensitive to noise, and theoretical RSS. These findings can greatly assist researchers and network operators in carefully selecting the most suitable localization technique for their wireless networking applications, taking into account the specific wireless technology utilized and their unique needs and limitations.
View angle dependence of cloud optical thicknesses retrieved by MODIS

This study examines whether cloud inhomogeneity influences the view angle dependence of MODIS cloud optical thickness (tau) retrieval results. The degree of cloud inhomogeneity is characterized through the local gradient in 11 microns brightness temperature. The analysis of liquid phase clouds in a one year long global dataset of Collection 4 MODIS data reveals that while optical thickness retrievals give remarkably consistent results for all view directions if clouds are homogeneous, they give much higher tau-values for oblique views than for overhead views if clouds are inhomogeneous and the sun is fairly oblique. For solar zenith angles larger than 55deg, the mean optical thickness retrieved for the most inhomogeneous third of cloudy pixels is more than 30% higher for oblique views than for overhead views. After considering a variety of possible scenarios, the paper concludes that the most likely reason for the increase lies in three-dimensional radiative interactions that are not considered in current, one-dimensional retrieval algorithms. Namely, the radiative effect of cloud sides viewed at oblique angles seems to contribute most to the enhanced tau-values. The results presented here will help understand cloud retrieval uncertainties related to cloud inhomogeneity. They complement the uncertainty estimates that will start accompanying MODIS cloud products in Collection 5 and may eventually help correct for the observed view angle dependent biases.
Decomposing global warming using Bayesian statistics

In this thesis an energy balance model and regression with internal climate variability indices are employed to model ocean heat content and global mean surface temperatures. The energy balance model takes radiative forcing as input. The nature of the contribution of anthropogenic aerosol emissions to the radiative forcing is not very well-known, and in previous research its path is usually scaled by some factor. Here the path is allowed to vary, which reflects the historical uncertainty. Parameters are estimated using Markov chain Monte Carlo methods. The results show that the aerosol path flexibility substantially increases the probability of very high values of the equilibrium climate sensitivity (ECS), but marginally decreases the most probable value. The inclusion of long-term internal climate variability in the form of the Atlantic Multidecadal Oscillation (AMO) in the regression does not reduce the average error of the estimated temperature. This indicates that observed historical multidecadal temperature oscillations might be better explained by changes in external forcing than by the AMO. It is also shown that including AMO only affects the estimated ECS to a small extent in most scenarios.
Advantages of femtosecond laser in various corneal transplantation procedures: A narrative literature review

The ability of the femtosecond laser (FSL) to create tissue incisions at desired depth and location with minimal collateral damage to surrounding tissue may offer potential advantages for corneal transplantation surgery. FSL may enable the precise and accurate preparation of both donor and recipient tissue, which can potentially result in enhanced wound integrity, facilitation of wound healing, and improved visual outcomes. Many studies have suggested that FSL may be a viable option in various corneal transplantation procedures, such as, penetrating keratoplasty, anterior lamellar keratoplasty, endothelial keratoplasty, and novel techniques, including Bowman layer transplantation and stromal lenticule addition keratoplasty. In this review, the author presents a brief overview on the application of FSL in various corneal transplantation procedures and discusses the results of studies regarding the safety and efficacy of FSL-assisted corneal transplantation procedures.
Impact of agricultural policy intervention on yield and profitability of maize farmers: The case of Planting for Food and Jobs (PFJ) programme in Ghana

Abstract There have been rising concerns about the implementation and effective monitoring of the Planting for Food and Jobs (PFJ) programme in Ghana. This paper examines farmers’ perceptions and impact of the PFJ programme on yield and profitability of maize in the Ashanti region of Ghana. Using data from 400 maize producers, we employ perception indices, endogenous regression, propensity score matching and inverse probability weighted regression adjustment approach to evaluate farmers’ perceptions about the programme and investigate the determinants of farmers’ participation in the PFJ programme and its impact on maize yield and profitability. Our results showed that farmers have a positive perception about the PFJ programme. Furthermore, the key factors influencing participation in PFJ are years of formal education, political affiliation, farm size, experience in maize farming, marital status, offfarm income, credit access, political affiliation and distance from farmer location to district capital. In addition, the results show that the PFJ programme has a significant positive impact on maize yield and profitability. For effective participation, the interventions should target educated farmers with large farm sizes- and living farther from the district capital. There is the need for periodic sensitization and education of farmers to encourage participation in the PFJ programme for improved yield and profitability.
Irregularities within Subauroral Polarization Stream‐Related Troughs and GPS Radio Interference at Midlatitudes

We report on the Defense Meteorological Satellite Program satellite observations of irregular plasma density troughs related with UHF radio scintillations at subauroral latitudes during the magnetic storms of September 1999 and 2001. The troughs were associated with either structured subauroral polarization streams or elevated electron temperature. The observed irregularity spectrum within the range of 0.75-7.5 km is well-approximated by a power law with the spectral index -5/3 ≥-p n ≥ -2.