Miracle-dz/UniFAR-FTUs huggingface dataset:
CHALLENGES IN WATER RESOURCES FORECASTING AT THE NATIONAL WEATHER SERVICE

The streamflow forecasting mission of NOAA’s National Weather Service (NW S) provides social benefits in the form of life and property protection and economic prosperity. Floods, droughts, and provision of potable fresh water are pressing issues throughout the world. Climate change exacerbates these problems and makes hydrologic forecasting more complex and demanding. Improved water quantity and quality forecasts will help water managers and the public deal with the growing challenges. Hydrologic forecasting within the NWS is carried out through a complex system of hydrometeorological observations and forecasts, hydrologic m odels, and human interpretation of model results. Additionally, effective forecast services require the quantification of uncertainty, validation and verification of the system performance, and communication of forecast products to the public and decision makers. These hydrologic forecasting challenges are compounded by the need to rely less on observations of historical series for model calibration, and m ore on physical characteristics of the watershed, as a way to reduce the cost of implementation and to isolate the problem of model implementation from natural or anthropogenic changes to the watershed, such as those caused by extensive urban development, forest fires, and climate change. The NWS is actively developing the capability to provide our users with information on the uncertainty of the hydrolog ic forecasts. We are developing ensemble techniques to cover the effects of the uncertainty in initial conditions, parameters, model structure, and meteorologic forcings (observations and forecasts). In addition, we are planning on improving low-flow forecast accuracy by using groundwater models coupled with streamflow for ecast models. This will reflect the effect of pumping, irrigation, recharge and complex geological conditions not currently represented in our surface hydrology models. The NWS Office of Hydrologic Development has developed a Strategic Sc ience plan to cover all these topics. This paper will explain the details of the plan, and the challenges we face in its implementation.
Development of a composite scoring system to rank communities at high risk of zero-dose children in Cameroon: A geospatial analysis

Background Despite growing efforts to improve access to vaccination, millions of children, especially in developing countries, have not received a single dose of diphtheria, tetanus, and pertussis (DTP) vaccine. Consequently, they are often called zero-dose children (ZDC). With limited health resources, prioritising communities for rapid and mass zero-dose catch-up vaccination in missed communities to avert epidemic outbreaks is complicated by unreliable denominators used to compute vaccination coverages. Incorporating other indicators of access and utilisation of vaccination services can help with identifying and ranking missed communities based on the likelihood of finding ZDC. We described the process of generating a scoring method to rank health areas in Cameroon based on their likelihood of containing ZDC. Methods We used geospatial analysis to compute and aggregate health area characteristics, including hard-to-reach (HTR) areas (defined as areas of settlement above a one- (for urban areas) or 15-kilometre radius (for rural areas) beyond a vaccinating health facility), amount of area covered by slums and new area settlement, and percentage of children unvaccinated for DTP-1. We attributed a weight based on the ability to limit accessibility or utilisation of vaccination services to each characteristic and computed the score as a weighted average of health area characteristics. The health area score ranged from 0 to 1, with higher scores representing a higher likelihood of containing ZDC. We stratified the analysis by rural and urban health areas. Results We observed substantial district and regional variations in health area scores, with hotspots health areas (administrative level 4) observed in the Far North (0.83), North (0.81), Adamawa (0.80), East (0.75), and South West (0.67) regions. The Adamawa region had the highest percentage of health areas with the highest score (78%), followed by the East (50%), West (48%), and North (46%) regions. For most regions (Far North, South, South West, Littoral, West, and North West), DTP-1 contributed the most to the score. However, HTR settlement areas within a health area contributed substantially to the overall score in the East, North, and Adamawa regions. Conclusions We found substantial variations in health area scores with hotspots in the Far North, North, Adamawa, East, and South West regions. Although DTP-1 could be used as an indicator to identify health areas with ZDC for most communities, HTR settlement area was a valuable indicator in ranking priority health areas in the East, North, and Adamawa regions, further emphasising the need to consider other indicators before prioritisation.
The potential renoprotective effect of Raloxifene in renal ischemia-reperfusion injury in a male rat model

Renal ischemia-reperfusion injury is caused by a temporary reduction in oxygen-carrying blood flow to the kidney, followed by reperfusion. During ischemia, kidney tissue damage induces overproduction of reactive oxygen species, which produces oxidative stress. The blood flow restoration during the reperfusion period causes further production of reactive oxygen species that ends with apoptosis and cell death. This study aimed to investigate the potential renoprotective effects of Raloxifene on bilateral renal ischemia-reperfusion injury in rats by looking into kidney function biomarkers, urea and creatinine, inflammatory cytokines, such as tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β). Additionally, antioxidant markers such as total antioxidant capacity (TAC) and the pro-apoptotic marker caspase-3 were assessed. Histopathological scores were also employed for evaluation. Our experimental design involved 20 rats divided into four groups: the sham group underwent median laparotomy without ischemia induction, the control group experienced bilateral renal ischemia for 30 minutes followed by 2 hours of reperfusion, the vehicle group received pretreatment with a mixture of corn oil and dimethyl sulfoxide (DMSO) before ischemia induction, and the Raloxifene-treated group was administered Raloxifene at a dose of 10 mg/kg before ischemia induction, followed by ischemia-reperfusion. Urea and creatinine, TNF-α, IL-1β, and caspase-3 in the Raloxifene group were significantly lower compared to the control and vehicle groups. On the other hand, TAC levels in the Raloxifene group were significantly higher than in the control and vehicle groups. This study concluded that Raloxifene had a renoprotective impact via multiple actions as an anti-inflammatory, anti-apoptotic, and antioxidant agent.
On the price dynamics of non-fungible tokens: The ‘Bored Apes’ case

We analyse the pattern of daily price of a collection of artistic non-fungible tokens, namely, the “Bored Ape Yacht Club” (BAYC) collectibles, over the first year of their life, from May 2021 to May 2022. Taking a time-series analysis approach, we consider the daily average price, and other variants of daily price index, derived from hedonic regression model. Aesthetic features of the collectibles do matter. At the same time, the price series emerge to be non-stationary, integrated of order 1, with their first difference exhibiting heteroscedasticity and autoregressive variance. Models of ARCH/GARCH class are appropriate to describe the dynamics. Though the price series of BAYC collectibles and their daily movements share many characteristics with the series of financial assets, they do not appear to be related to financial variables from both the crypto- and the real (i.e., not crypto) world.
Computational exploration of novel ROCK2 inhibitors for cardiovascular disease management; insights from high-throughput virtual screening, molecular docking, DFT and MD simulation

Cardiovascular disorders are the world’s major cause of death nowadays. To treat cardiovascular diseases especially coronary artery diseases and hypertension, researchers found potential ROCK2 (Rho-associated coiled-coil-containing protein kinase 2) target due to its substantial role in NO-cGMP and RhoA/ROCK pathway. Available drugs for ROCK2 are less effective and some of them depict side effects. Therefore, a set of novel compounds were screened that can potentially inhibit the activity of ROCK2 and help to treat cardiovascular diseases by employing In-silico techniques. In this study, we undertook ligand based virtual screening of 50 million compound’s library, to that purpose shape and features (contain functional groups) based pharmacophore query was modelled and validated by Area Under Curve graph (AUC). 2000 best hits were screened for Lipinski’s rule of 5 compliance. Subsequently, these selected compounds were docked into the binding site of ROCK2 to gain insights into the interactions between hit compounds and the target protein. Based on binding affinity and RMSD scores, a final cohort of 15 compounds were chosen which were further refined by pharmacokinetics, ADMET and bioactivity scores. 2 potential hits were screened using density functional theory, revealing remarkable biological and chemical activity. Potential inhibitors (F847-0007 and 9543495) underwent rigorous examination through MD Simulations and MMGBSA analysis, elucidating their stability and strong binding affinities. Results of current study unveil the potential of identified novel hits as promising lead compounds for ROCK2 associated with cardiovascular diseases. These findings will further investigate via In-vitro and In-vivo studies to develop novel druglike molecules against ROCK2.
An empirical study on learners’ learning emotion and learning effect in offline learning environment

The application of non-cognitive factors represented by facial emotion in educational evaluation has attracted much attention in recent years. There are many existing studies on facial emotion assisted education evaluation, but most of them are based on virtual learning environments, which means that the research on facial emotion and learning effect in offline learning environments is sparse. In order to solve this problem, this study designed an emotion observation experiment based on the offline learning environment, obtained the type of learner facial emotion and learning effect of 127 college students, and further explored the relationship between the two. The results show that: 1) We obtained eight types of learner emotion through the combined description method: joy, relaxation, surprise, meekness, contempt, disgust, sadness, anxiety and their respective PAD emotional mean. 2) We obtained the correlation results of the six emotions of joy, relaxation, surprise, meekness, contempt, and anxiety with the learning effect and the predicted value of the learning effect. 3) We then constructed an explanatory model of learner emotion and learning effect based on the offline learning environment.
Comparative treatment of Sulfasalazine+Ezetimibe combination and Sulfasalazine in a rat model with induced colitis

Ulcerative colitis is a chronic inflammatory disease with high mortality and morbidity worldwide. It causes inflammation in the lining of the colon, resulting in several symptoms that negatively impact the quality of life. Unfortunately, there is currently no known cure for this condition. Therefore, it is crucial to explore alternative treatment approaches. This research aimed to investigate the anti-inflammatory and antioxidative effects of a combination therapy involving Sulfasalazine+Ezetimibe compared to Sulfasalazine alone in a rat model of ulcerative colitis. Forty adult rats were divided into four groups for this study. The groups consisted of a control group (negative control), an acetic acid group (positive control), an acetic acid+Sulfasalazine (100 mg/kg per day) group, and an acetic acid+Sulfasalazine (50 mg/kg)+Ezetimibe (5 mg/kg) group. Rats were treated for one week, and colitis was induced by administering 2 ml of 4% (v/v) acetic acid inter-rectally. After sacrifice, the colonic tissue homogenate was analyzed for several markers, including proinflammatory cytokines (TNF-α, IL-1β, NF-κB), oxidative stress markers (malondialdehyde, myeloperoxidase), and adhesive molecule markers (E-selectin, ICAM-1). Sulfasalazine and the combination of Sulfasalazine+Ezetimibe significantly reduced the colonic levels of TNF-α, IL-1β, NF-κB, MDA, and E-selectin in the homogenate. However, the combination therapy of Sulfasalazine and Ezetimibe demonstrated a superior effect.
Differences in the genomic diversity, structure, and inbreeding patterns in wild and managed populations of Agave potatorum Zucc. used in the production of Tobalá mezcal in Southern Mexico

Agave potatorum Zucc. locally known as Tobalá, is an important species for mezcal production. It is a perennial species that takes 10 to 15 years to reach reproductive age. Because of high demand of Tobalá mezcal and the slow maturation of the plants, its wild populations have been under intense anthropogenic pressure. The main objective of this study was to estimate the genome-wide diversity in A. potatorum and determine if the type of management has had any effect on its diversity, inbreeding and structure. We analyzed 174 individuals (105 wild, 42 cultivated and 27 from nurseries) from 34 sites with a reduced representation genomic method (ddRADseq), using 14,875 SNPs. The diversity measured as expected heterozygosity was higher in the nursery and wild plants than in cultivated samples. We did not find private alleles in the cultivated and nursery plants, which indicates that the individuals under management recently derived from wild populations, which was supported by higher gene flow estimated from wild populations to the managed plants. We found low but positive levels of inbreeding (FIS = 0.082), probably related to isolation of the populations. We detected low genetic differentiation among populations (FST = 0.0796), with positive and significant isolation by distance. The population genetic structure in the species seems to be related to elevation and ecology, with higher gene flow among populations in less fragmented areas. We detected an outlier locus related to the recognition of pollen, which is also relevant to self-incompatibility protein (SI). Due to seed harvest and long generation time, the loss of diversity in A. potatorum has been gradual and artificial selection and incipient management have not yet caused drastic differences between cultivated and wild plants. Also, we described an agroecological alternative to the uncontrolled extraction of wild individuals.
Insights on the mechanism of flecainide in catecholaminergic polymorphic ventricular tachycardia

Catecholaminergic polymorphic ventricular tachycardia (CPVT) is an inherited arrhythmia syndrome characterized by defective cardiac ryanodine receptor (RyR2) calcium release during times of adrenergic stimulation, resulting in bidirectional or polymorphic ventricular tachycardia. Flecainide is a class 1c anti-arrhythmic drug that has demonstrated therapeutic efficacy in treating CPVT. However, its mechanism of action remains disputed. One group proposes a direct effect of flecainide on RyR2-mediated calcium release, while another proposes an indirect effect via sodium channel blockade and modulation of intracellular calcium dynamics. In light of recent studies, this commentary aims to explore and discuss the evidence base for these potential mechanisms.
Sensory phenotypes in complex regional pain syndrome and chronic low back pain—indication of common underlying pathomechanisms

Supplemental Digital Content is Available in the Text. Two clusters of sensory phenotypes were identified across various chronic pain diagnoses, indicating common pathophysiological mechanisms irrespective of the pain diagnosis. Abstract Introduction: First-line pain treatment is unsatisfactory in more than 50% of chronic pain patients, likely because of the heterogeneity of mechanisms underlying pain chronification. Objectives: This cross-sectional study aimed to better understand pathomechanisms across different chronic pain cohorts, regardless of their diagnoses, by identifying distinct sensory phenotypes through a cluster analysis. Methods: We recruited 81 chronic pain patients and 63 age-matched and sex-matched healthy controls (HC). Two distinct chronic pain cohorts were recruited, ie, complex regional pain syndrome (N = 20) and low back pain (N = 61). Quantitative sensory testing (QST) was performed in the most painful body area to investigate somatosensory changes related to clinical pain. Furthermore, QST was conducted in a pain-free area to identify remote sensory alterations, indicating more widespread changes in somatosensory processing. Results: Two clusters were identified based on the QST measures in the painful area, which did not represent the 2 distinct pain diagnoses but contained patients from both cohorts. Cluster 1 showed increased pain sensitivities in the painful and control area, indicating central sensitization as a potential pathomechanism. Cluster 2 showed a similar sensory profile as HC in both tested areas. Hence, either QST was not sensitive enough and more objective measures are needed to detect sensitization within the nociceptive neuraxis or cluster 2 may not have pain primarily because of sensitization, but other factors such as psychosocial ones are involved. Conclusion: These findings support the notion of shared pathomechanisms irrespective of the pain diagnosis. Conversely, different mechanisms might contribute to the pain of patients with the same diagnosis.
E-cigarette cessation interest and quit attempts among young adults reporting exclusive e-cigarette use or dual use with other tobacco products: How can we reach them?

INTRODUCTION There is limited evidence to inform e-cigarette quitting interventions. This mixed-methods study examined: 1) e-cigarette and other tobacco product perceptions and cessation-related factors; and 2) potential behavioral intervention strategies among young adults reporting exclusive e-cigarette use or dual use with other tobacco products. METHODS We analyzed Fall 2020 survey data from 726 participants reporting past 6-month e-cigarette use (mean age=24.15 years, 51.1% female, 38.5% racial/ethnic minority) from 6 US metropolitan areas and Spring 2021 qualitative interview data from a subset (n=40), comparing tobacco-related perceptions and cessation-related factors among those reporting exclusive use versus dual use. RESULTS Among survey participants (35.5% exclusive e-cigarette use, 64.5% dual use), those reporting dual use indicated greater importance of quitting all tobacco or nicotine products (mean=5.28, SD=3.44 vs mean=4.65, SD=3.75, p=0.033), whereas those reporting exclusive use expressed greater confidence in quitting e-cigarettes (mean=7.59, SD=3.06 vs mean=7.08, SD=3.01, p=0.029) and all tobacco and nicotine products (mean=7.00, SD=3.16 vs mean=6.31, SD=3.13, p=0.008), as well as less favorable perceptions (i.e. more harmful to health and addictive, less socially acceptable) of cigarettes, cigars, and smokeless tobacco (p<0.05). Interview participants (50.0% exclusive e-cigarette use; 50.0% dual use) attributed previous failed e-cigarette quit attempts to their inability to cope with social influences, stress, and withdrawal symptoms. Although most expressed disinterest in quitting due to belief of eventually outgrowing e-cigarettes (among those reporting exclusive use) or unreadiness to abstain from nicotine (among those reporting dual use), many acknowledged the need for quitting interventions. CONCLUSIONS Young adult e-cigarette cessation interventions should target risk perceptions, cessation barriers, and social influences/support.
Diversity and spatiotemporal variations in bacterial and archaeal communities within Kuwaiti territorial waters of the Northwest Arabian Gulf

Kuwaiti territorial waters of the northwest Arabian Gulf represent a unique aquatic ecosystem prone to various environmental and anthropogenic stressors that pose significant constraints on the resident biota which must withstand extreme temperatures, salinity levels, and reducing conditions, among other factors to survive. Such conditions create the ideal environment for investigations into novel functional genetic adaptations of resident organisms. Firstly, however, it is essential to identify said organisms and understand the dynamic nature of their existence. Thus, this study provides the first comprehensive analysis of bacterial and archaeal community structures in the unique waters of Kuwait located in the Northwest Arabian Gulf and analyzes their variations with respect to depth, season, and location, as well as their susceptibility to changes in abundance with respect to various physicochemical parameters. Importantly, this study is the first of its kind to utilize a shotgun metagenomics approach with sequencing performed at an average depth of 15 million paired end reads per sample, which allows for species-level community profiling and sets the framework for future functional genomic investigations. Results showed an approximately even abundance of both archaeal (42.9%) and bacterial (57.1%) communities, but significantly greater diversity among the bacterial population, which predominantly consisted of members of the Proteobacteria, Cyanobacteria, and Bacteroidetes phyla in decreasing order of abundance. Little to no significant variations as assessed by various metrics including alpha and beta diversity analyses were observed in the abundance of archaeal and bacterial populations with respect to depth down the water column. Furthermore, although variations in differential abundance of key genera were detected at each of the three sampling locations, measurements of species richness and evenness revealed negligible variation (ANOVA p<0.05) and only a moderately defined community structure (ANOSIM r2 = 0.243; p>0.001) between the various locations. Interestingly, abundance of archaeal community members showed a significant increase (log2 median ratio of RA = 2.6) while the bacterial population showed a significant decrease (log2 median ratio = -1.29) in the winter season. These findings were supported by alpha and beta diversity analyses as well (ANOSIM r2 = 0.253; p>0.01). Overall, this study provides the first in-depth analysis of both bacterial and archaeal community structures developed using a shotgun metagenomic approach in the waters of the Northwest Arabian Gulf thus providing a framework for future investigations of functional genetic adaptations developed by resident biota attempting to survive in the uniquely extreme conditions to which they are exposed.
Lipid metabolism drives allele-specific early-stage hypertrophic cardiomyopathy

Hypertrophic cardiomyopathy (HCM) results from pathogenic variants in sarcomeric protein genes, that increase myocyte energy demand and lead to cardiac hypertrophy. But it is unknown whether a common metabolic trait underlies the cardiac phenotype at early disease stage. This study characterized two HCM mouse models (R92W-TnT, R403Q-MyHC) that demonstrate differences in mitochondrial function at early disease stage. Using a combination of cardiac phenotyping, transcriptomics, mass spectrometry-based metabolomics and computational modeling, we discovered allele-specific differences in cardiac structure/function and metabolic changes. TnT-mutant hearts had impaired energy substrate metabolism and increased phospholipid remodeling compared to MyHC-mutants. TnT-mutants showed increased incorporation of saturated fatty acid residues into ceramides, cardiolipin, and increased lipid peroxidation, that could underlie allele-specific differences in mitochondrial function and cardiomyopathy. Graphical Abstract