Miracle-dz/UniFAR-FTUs huggingface dataset:
Reconstructing the Noise Manifold for Image Denoising - Supplementary

In our ‘encoder-decoder ’ architecture (same for both subnets) 11 layers are used with an latent space of dimensions MB × 2 × 2 × 1024, where MB stands for mini-batch size. The architecture is given in Table 1. As it can be seen in this table, an extra layer with linear activation (colored in yellow) is added to the original decoder in order to get the final image output. In the case of RGB image denoising the output image has 3 channels, whereas RAW image denoising outputs 4 channels (R-G-G-B).
Cancer cell proliferation being manipulated by SSRIs via multiple pathways, resulting in cancer cell apoptosis Determining the function of SSRIs on intracellular pathways managing cancer cell proliferation, cell cycle arrest and apoptosis

Background There are indications that SSRIs have a dual-purpose in cancer treatment. Firstly, they target depressions and secondly they are involved in multiple intracellular pathways involved in (cancer) cell proliferation and apoptosis. Results It has been shown SSRIs activate multiple pathways involved in the induction of cancer cell apoptosis, including the Raf-Ras-MEK-ERK pathway, the JNK pathway and SSRIs induce excessive Ca2+ influx. Activation of these pathways leads to increased amounts of apoptotic factors like caspase-3, caspase-7 and caspase-9. Additionally, fluoxetine enhances the function of chemotherapy in aggressive glioma brain tumours. Ultimately, SSRIs increase levels of cell arresting compounds like p53 and p21 proteins. Conclusion SSRIs have a dual-purpose in cancer by both targeting depression and cancer cell proliferation. SSRIs, at least fluoxetine, have potential as an enhancer to chemotherapy treatment.
The effect of early enteral nutrition combined with anti-infection intervention on gut bacteria translocation-related infections in patients with severe traumatic brain injury

Objective: To investigate the effect of early enteral nutrition combined with anti-infection intervention on gut bacteria translocation-related infections in patients with severe traumatic brain injury (sTBI). Methods: One hundred and two patients with sTBI were randomly divided into two groups: the patients in one group received routine care after their operations (the control group, n=51) and the other group received enteral nutrition support combined with anti-infection strategies from the first day after their operations (the observation group, n=51). Then the patients’ infected tissues were collected, and the pathogenic strains were isolated, inoculated, and cultured. The bacterial strains were identified, and the patterns of the infected strains were recorded. The incidence and site of the infections, the proportion of T-lymphocyte subsets changed, the patients’ nutrition level changes after the intervention, the concentrations of the serum inflammatory factors, and the complications were compared between the two groups. Results: The infection rate in the observation group was significantly lower than the rate in the control group (P=0.013). For both groups, gram-negative bacilli (48.78%) were the main infection strain, followed by gram-positive cocci (39.02%), and fungi (12.20%). Compared with the data from the first day after the operation, the ratios of CD4 + and CD4 /CD8 + in the two groups increased significantly on the 15th day after treatment (P<0.001), and the ratios in the observation group increased even more (P<0.001; P=0.017). The total protein (TP), albumin (Alb), and transferrin (TRF) serum levels in the observation group significantly increased (all P<0.01) and were significantly higher than the levels in the control group (all P<0.001) after treatment for 15 days. The TNF-α and IL-6 serum levels in both groups decreased significantly (P<0.05 or P<0.01) after the treatment for 15 days and even more in the observation group (P<0.001). The incidence of complications in the observation group was significantly lower than it was in the control group (P=0.009), but there was no significant difference in mortality (P=1). Conclusion: The infection rate of patients with sTBI is very high, and the main pathogen is gram-negative bacilli. Early postoperative enteral nutrition support combined with anti-infection therapy can improve the immune function, balance the nutritional status, reduce the inflammatory reaction, lower the risk of complications, and help to improve patient prognosis.
EVALUATION OF IN VITRO ANTIOXIDANT, ANTIDIABETIC AND ANTIMICROBIAL ACTIVITIES OF PETALS OF BOMBAX CEIBA L

Bombax ceiba, endemic to semal, is commonly known species. Lots of study had done on this species due to the fact that this plant is widely used in traditional and alternative medicines in India. In this study, Soxhlet extraction on the basis of polarity by different solvent like petroleum ether (P.E), chloroform (C.H), ethyl acetate (E.A), ethanol (E.L) and water (W.R) and their biological activities like free radical scavenging activity, total phenolic content, antidiabetic and antimicrobial have done. Free radical scavenging activity was determined according to the DPPH and FRAP method. Total phenol content was determined by the Folin-Ciocalteu reaction, antidiabetic activity was done by using α-glucosidase and α-amylase method and antimicrobial assay was done by using disk diffusion method. Ethyl acetate extract of B. ceiba L. was found to have highest antioxidant and antidiabetic activity with IC 80. 05μg/ml and 16550 180μg/ml respectively. This effect was found to be related to the total phenolic content of ethyl acetate extracts. Antimicrobial activity of petals was also highest inhibition in ethyl acetate extract with MIC 1.87. Petals of B. ceiba is thought to be a natural source of antioxidants, antidiabetic and antimicrobial.
Hippocampus , HPA-axis , and Covid-19 : Medical Student Stress and Interventional Strategies

Medical training is one of the most challenging times along the journey of a future health care professional. Lack of awareness of the stressors involved and the coping strategies can debilitate a student’s capability to carry out efficient and effective stress management strategies, turning medical school into an uphill battle. The recent pandemic (Covid-19) that has practically dictated our day-today activities over the past year has introduced novel stressors for the general population, including those pursuing a medical education and working in a healthcare profession. Stress generally induces an imbalance in homeostasis; but, if the stress is prolonged, its cumulative effects can result in changes that negatively affect tissues and organ systems (allostatic overload). Effects of stress on the HPA-axis and its regulation through the hippocampus serves as a window for further investigation into the link between cortisol and hippocampal plasticity. This holds significant value for students, particularly those pursuing a healthcare profession. Lastly, we list several coping-strategies for current medical students based on neurobiological research evidence to effectively manage stress.
Assessing Current and Future Spatiotemporal Precipitation Variability and Trends Over Uganda, East Africa Based on Chirps and Regional Climate Models Datasets

Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint 4 International Research Laboratory of Climate and Environment Change 5 (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological 6 Disasters (CIC-FEMD), Nanjing, University of Information Science and Technology, 7 Nanjing 210044, China 8 Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Col 9 laborative Innovation Center of Atmospheric Environment and Equipment Technology, Scho 10 ol of Environmental Science and Engineering, Nanjing University of Information Science and 11 Technology, Nanjing 210044, China 12
BARRA v1.0: Kilometre-scale downscaling of an Australian regional
atmospheric reanalysis over four midlatitude domains

Regional reanalyses provide a dynamically consistent recreation of past weather observations at scales useful for local-scale environmental applications. The development of convection-permitting models (CPMs) in numerical weather prediction has facilitated the creation of kilometrescale (1–4 km) regional reanalysis and climate projections. The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) also aims to realize the benefits of these high-resolution models over Australian sub-regions for applications such as fire danger research by nesting them in BARRA’s 12 km regional reanalysis (BARRA-R). Four midlatitude sub-regions are centred on Perth in Western Australia, Adelaide in South Australia, Sydney in New South Wales (NSW), and Tasmania. The resulting 29-year 1.5 km downscaled reanalyses (BARRA-C) are assessed for their added skill over BARRA-R and global reanalyses for near-surface parameters (temperature, wind, and precipitation) at observation locations and against independent 5 km gridded analyses. BARRA-C demonstrates better agreement with point observations for temperature and wind, particularly in topographically complex regions and coastal regions. BARRA-C also improves upon BARRA-R in terms of the intensity and timing of precipitation during the thunderstorm seasons in NSW and spatial patterns of sub-daily rain fields during storm events. BARRA-C reflects known issues of CPMs: overestimation of heavy rain rates and rain cells, as well as underestimation of light rain occurrence. As a hindcast-only system, BARRA-C largely inherits the domain-averaged bias pattern from BARRA-R but does produce different climatological extremes for temperature and precipitation. An added-value analysis of temperature and precipitation extremes shows that BARRA-C provides additional skill over BARRA-R when compared to gridded observations. The spatial patterns of BARRA-C warm temperature extremes and wet precipitation extremes are more highly correlated with observations. BARRA-C adds value in the representation of the spatial pattern of cold extremes over coastal regions but remains biased in terms of magnitude.
Genetic diversity of potential mother trees of Myracrodruon urundeuva Allemão in a remnant population from Brazilian Cerrado using ISSR

Myracrodruon urundeuva Allemão is a tree species of the family Anacardiaceae, native from the northeast, southeast and midwest regions of Brazil, locally known as aroeira. Because of its long history of predatory exploitation, this species has been lately classified as vulnerable to extinction. The present work had as objective to evaluate the genetic diversity of potential mother trees of M. urundeuva using ISSR molecular markers in order to subsidize the collection of seeds with large genetic diversity. The selected trees are located in the forest reserve of Brita Guia, in the municipality of Cuiabá – MT, Brazil. Of the 18 ISSR primers tested, seven were selected to characterize genetic diversity. The total amplified fragments were 116, with a percentage of 99.15% polymorphism. The individuals presented Nei's genetic diversity (He) of 0.2706 and Shannon's diversity index (I) of 0.4226. The UPGMA grouping method revealed the existence of two large groups among the individuals, which could be considered to perform seed collection among divergent genotypes. Diversidade genética de potenciais matrizes de Myracrodruon urundeuva Allemão em uma população remanescente do Cerrado brasileiro por meio de
Serum Ceramides as Prognostic Biomarkers of Large Thrombus Burden in Patients with STEMI: A Micro-Computed Tomography Study

ST-elevation myocardial infarction (STEMI) remains one of the leading causes of mortality worldwide. The identification of novel metabolic and imaging biomarkers could unveil key pathophysiological mechanisms at the molecular level and promote personalized care in patients with acute coronary syndromes. We studied 38 patients with STEMI who underwent primary percutaneous coronary intervention and thrombus aspiration. We sought to correlate serum ceramide levels with micro-CT quantified aspirated thrombus volume and relevant angiographic outcomes, including modified TIMI thrombus grade and pre- or post-procedural TIMI flow. Higher ceramide C16:0 levels were significantly but weakly correlated with larger aspirated thrombus volume (Spearman r = 0.326, p = 0.046), larger intracoronary thrombus burden (TB; p = 0.030) and worse pre- and post-procedural TIMI flow (p = 0.049 and p = 0.039, respectively). Ceramides C24:0 and C24:1 were also significantly associated with larger intracoronary TB (p = 0.008 and p = 0.001, respectively). Receiver operating characteristic analysis demonstrated that ceramides C24:0 and C24:1 could significantly predict higher intracoronary TB (area under the curve: 0.788, 95% CI: 0.629–0.946 and 0.846, 95% CI: 0.706–0.985, respectively). In conclusion, serum ceramide levels were higher among patients with larger intracoronary and aspirated TB. This suggests that quantification of serum ceramides might improve risk-stratification of patients with STEMI and facilitate an individualized approach in clinical practice.
SELENIUM HETEROCYCLES. XXVIII. SYNTHESIS OF PYRROLO(3,2‐D)SELENAZOLE AND PYRROLO(3,2‐D)THIAZOLE. TWO NOVEL HETEROCYCLES

Starting from the readily available 2-substituted-4-formylselenazoles and 2-substituted-4-formylthiazoles, a series of substituted-pyrrolo[3,2-d]selenazoles and substituted-pyrrolo[3,2-d|-thiazoles were prepared respectively.
A different look at the optimal control of the Brockett integrator

We propose a method to analyze the three-dimensional nonholonomic system known as the Brockett integrator and to derive the (energy) optimal trajectories between two given points. For systems with nonholonomic constraint, it is well-known that the energy optimal trajectories corresponds to sub-Riemannian geodesics under a proper sub-Riemannian metric. Our method uses symmetry reduction and an analysis of the quotient space associated with the action of a (symmetry) group on . By lifting the Riemannian geodesics with respect to an appropriate metric from the quotient space back to the original space , we derive the optimal trajectories of the original problem.
Ride Substitution Using Electric Bike Sharing: Feasibility, Cost, and Carbon Analysis

While ride-sharing has emerged as a popular form of transportation in urban areas due to its on-demand convenience, it has become a major contributor to carbon emissions, with recent studies suggesting it is 47% more carbon-intensive than personal car trips. In this paper, we examine the feasibility, costs, and carbon benefits of using electric bike-sharing—a low carbon form of ride-sharing—as a potential substitute for shorter ride-sharing trips, with the overall goal of greening the ride-sharing ecosystem. Using public datasets from New York City, our analysis shows that nearly half of the taxi and rideshare trips in New York are shorts trips of less than 3.5km, and that biking is actually faster than using a car for ultra-short trips of 2km or less. We analyze the cost and carbon benefits of different levels of ride substitution under various scenarios. We find that the additional bikes required to satisfy increased demand from ride substitution increases sub-linearly and results in 6.6% carbon emission reduction for 10% taxi ride substitution. Moreover, this reduction can be achieved through a hybrid mix that requires only a quarter of the bikes to be electric bikes, which reduces system costs. We also find that expanding bike-share systems to new areas that lack bike-share coverage requires additional investments due to the need for new bike stations and bike capacity to satisfy demand but also provides substantial carbon emission reductions. Finally, frequent station repositioning can reduce the number of bikes needed in the system by up to a third for a minimal increase in carbon emissions of 2% from the trucks required to perform repositioning, providing an interesting tradeoff between capital costs and carbon emissions.
A Model of Endogenous Risk Intolerance and LSAPs: Asset Prices and Aggregate Demand in a “COVID-19” Shock

Abstract We theoretically investigate the interaction of endogenous risk intolerance and monetary policy following a large recessionary shock. As asset prices dip, risk-tolerant agents’ wealth share declines. This decline reduces the market’s risk tolerance and triggers a downward loop in asset prices and aggregate demand when the interest rate policy is constrained. In this context, large-scale asset purchases are effective because they transfer unwanted risk to the government’s balance sheet. These effects are sizable when the model is calibrated to match the estimates of aggregate asset demand inelasticity. The COVID-19 shock illustrates the environment we seek to capture.
Choking under pressure: Does it get easier with age? How loneliness affects social monitoring across the life span

Previous experimental work showed that young adults reporting loneliness performed less well on emotion recognition tasks (Diagnostic Analysis of Nonverbal Accuracy [DANVA-2]) if they were framed as indicators of social aptitude, but not when the same tasks were framed as indexing academic aptitude. Such findings suggested that undergraduates reporting loneliness possessed the social monitoring skills necessary to read the emotions underlying others’ facial expressions, but that they choked under social pressure. It has also been found that undergraduates reporting loneliness have better recall for both positive and negative social information than their non-lonely counterparts. Whether those effects are evident across different age groups has not been examined. Using data from the British Broadcasting Corporation (BBC) Loneliness Experiment that included participants aged 16–99 years (N = 54,060), we (i) test for replication in a larger worldwide sample and (ii) extend those linear model analyses to other age groups. We found only effects for participants aged 25–34 years: In this age group, loneliness was associated with increased recall of negative individual information, and with choking under social pressure during the emotion recognition task; those effects were small. We did not find any such effects among participants in other age groups. Our findings suggest that different cognitive processes may be associated with loneliness in different age groups, highlighting the importance of life-course approaches in this area.
THE NEXUS BETWEEN ECONOMIC GROWTH AND NATURAL RESOURCE ABUNDANCE IN SELECTED ASEAN COUNTRIES BEFORE PANDEMIC COVID-19

Abundant natural resources play an important role in boosting economic growth However, as the Dutch disease emerged in the 1970s, innumerable researchers were attracted to investigate the negative impact of abundant natural resources on economic growth The issue has been rigorously discussed in a large number of previous studies However, they did not investigate the effect of economic growth on natural resource abundance Therefore, this study embarks on an investigation into the effect of economic growth on natural resource abundance in selected ASEAN countries, namely Thailand, Singapore, Malaysia, Brunei, the Philippines, Vietnam, Cambodia and Indonesia This study employs the static panel method to analyse data ranging from 2000 to 2016 The results show that foreign direct investment and direct investment can have negative impacts on natural resource abundance An increase in economic growth, on the other hand, can have a positive impact of natural resource abundance Other factors such as financial development, trade openness and governance do not influence natural resource abundance Therefore, these findings can shed light for policymakers to formulate policies for future references as the outcomes based on before the spread of Covid-19 diseases The countries can enhance economic growth to pave the way for more exploration of natural resources Higher economic growth can lead to more advanced technologies and thus it is easy to extract more natural resources Foreign direct investment and direct investment should be controlled to ensure that natural resources will not be exhausted © 2021, Econjournals All rights reserved
Proposal and psychometric validation of the Severe Acute Respiratory Syndrome - Coronavirus-2 Fear Scale (SCoV-2-FS)

Background: The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has created an unprecedented global health, economic, and social challenges, generating fear. Fear can cause a range of physical and psychological disorders including depression, anxiety, and panic. Leading to lower social isolation and adherence to security measures, consequently increasing infection risk. The objective was to validate an 11-item unidimensional fear scale to identify and assess the severity of the fear of SARS-CoV-2. Methods: This was a cross-sectional study conducted through an online survey questionnaire. The sample included the Brazilian general population, randomly recruited by social networking platforms, during the pandemic. Participants aged ≥18 were included. A self-applicable fear scale named as the SARS-CoV-2 Fear Scale (SCoV-2-FS), comprising 11 questions addressing the fear of SARS-CoV-2 infection in performing daily activities was validated. The reliability and validity of the SCoV-2-FS were psychometrically evaluated using reliability measures and confirmatory factor analysis (CFA). The sample comprised 1332 Brazilian participants. Results: Cronbach’s α was 0.9, indicating very good internal reliability. The results of the CFA showed that the unidimensional factor structure of the SCoV-2-FS fitted well with the data.Limitations: The sampling method could have introduced selection bias in terms of socio-demographics.Conclusion: The SCoV-2-FS is a valid and reliable tool with robust psychometric properties, useful for assessing the psychological impact of fear due to COVID-19. Clinical relevance: The development of a scale may assist in the development of measures to control mental health disorders resulting from fear during and after the pandemic.
Stock Investment Decision: The Impacts of Investor’s Perceived Trust, Religiosity and Attitude

This paper investigates the relationship between religiosity in influencing perceived trust and attitude to invest in the Islamic stock market. In addition, this paper examines the relationship of attitude on investment decision behavior as well as the mediating role of attitude in mediates the relationship between religiosity and investment decisions as well was perceived trust and investment decisions. Using nonprobability, judgmental sampling techniques, questionnaires were collected from 247 Bursa Malaysia’s retail investors. SPSS and SmartPLS were utilized to analyze the data. All hypothesized relationships generate significant results. Religiosity and perceived trust have a significant relationship with attitude to investing in Bursa Malaysia. Attitude has a significant relationship with investment decision behavior, and religiosity has a significant relationship with perceived trust. Besides, the mediating assessment found that attitude mediates the relationship between religiosity and investment decisions. Attitude also mediates the relationship between perceived trust and investment decisions. This paper contributes to the body of knowledge in finance literature at the theoretical and practitioner level. First, it provides an empirical investigation to the body of knowledge that links religiosity and perceived trust to stock investment decisions through attitude. Second, it provides evidence on the impact of religiosity in the context of investment decisions by Muslims. Policymakers and investment institutions might benefit from this research by understanding the effect of investors' religiosity and trust on attitude to investing in the Islamic stock market and taking this as an essential factor when designing regulations and promoting the products and services. International Journal of Academic Research in Business and Social Sciences Vol. 1 1 , No. 1, 2021, E-ISSN: 2222-6990 © 2021 HRMARS 402