Miracle-dz/UniFAR-FTUs huggingface dataset:
Formulation of Novel Composite (Activated Nanoclay/Hydrocolloid of Nostoc sphaericum) and Its Application in the Removal of Heavy Metals from Wastewater

The removal of heavy metals from wastewater is an environmental challenge which demands the use of environmentally friendly materials that promote a circular economy. This study aimed to apply a novel composite of an activated nanoclay/hydrocolloid in the removal of heavy metals from wastewater. A composite blended under pressure was prepared with spray-dried hydrocolloid derived from Nostoc sphaericum algae and activated nanoclay in an acid medium and 1M NaCl. The composite and components were analyzed through infrared (IR), X-ray (XR), ζ potential, cation exchange capacity (CEC), particle size, and SEM images. The composite was subjected to the adsorption of heavy metals (Pb, As, Zn, and Cd) at pH 4.5 and the removal percentage, kinetics, and adsorption isotherms were evaluated. It was observed that the activated nanoclay and the composite that presented a particle size of around 400 nm significantly increased (p-value < 0.05) the CEC, ζ potential, the functional groups, and chelating components, removing heavy metals above 99% for Pb, As 33%, Cd 15%, and Zn 10%. Adsorption kinetics was adjusted to the pseudo second-order model (R2 > 0.98), and the Langmuir and Freundlich models better represented the sorption isotherm at 20 °C. The formulated composite presents a good ability to remove heavy metals in wastewater.
Reasoning over higher-order qualitative spatial relations via spatially explicit neural networks

Abstract Qualitative spatial reasoning has been a core research topic in GIScience and AI for decades. It has been adopted in a wide range of applications such as wayfinding, question answering, and robotics. Most developed spatial inference engines use symbolic representation and reasoning, which focuses on small and densely connected data sets, and struggles to deal with noise and vagueness. However, with more sensors becoming available, reasoning over spatial relations on large-scale and noisy geospatial data sets requires more robust alternatives. This paper, therefore, proposes a subsymbolic approach using neural networks to facilitate qualitative spatial reasoning. More specifically, we focus on higher-order spatial relations as those have been largely ignored due to the binary nature of the underlying representations, e.g. knowledge graphs. We specifically explore the use of neural networks to reason over ternary projective relations such as between. We consider multiple types of spatial constraint, including higher-order relatedness and the conceptual neighborhood of ternary projective relations to make the proposed model spatially explicit. We introduce evaluating results demonstrating that the proposed spatially explicit method substantially outperforms the existing baseline by about 20%.
Distribution Theory for Tests Based on the Sample Distribution Function

We may not be able to make you love reading, but distribution theory for tests based on the sample distribution function will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more books you read more knowledge you know, but it can mean also the bore is full.
in At the frontier of particle physics

A method of producing Keramzit by means of treating clay to form a clayey mass, subsequently granulating it, drying the granules at a temperature of 100 DEG to 150 DEG C. , heat-treating the dried granules at a temperature of 200 DEG to 500 DEG C. , calcining them in two stages-at a temperature at the first stage of 800 DEG to 1,150 DEG C. for 0.5 to 10 minutes and at a temperature at the second stage of 1,150 DEG to 1,250 DEG C. for 1 to 5 minutes, and cooling the Keramzit produced. The Keramzit produced according to the proposed method finds application in manufacturing all types of light-weight concretes. The method makes it possible to produce a light-weight Keramzit having a low bulk density from 100 to 400 kg/m3 and a strength on compression in a cylinder of from 3 to 22 kgf/cm2, and a high-strength Keramzit having a bulk density of from 550 to 1,100 kg/m3 and a strength on compression in a cylinder of from 37 to 200 kgf/cm2.
Targeted and Population-Wide Interventions Are Needed to Address the Persistent Burden of Anemia among Women of Reproductive Age in Tanzania

Recent evidence suggests that 44.8% of women of reproductive age (WRA) in Tanzania suffer from anemia. Addressing this public health challenge calls for local evidence of its burden and determinants thereof for policy and tailored interventions. This secondary data analysis used Tanzania Demographic and Health Surveys (TDHS) 2004–2005 and 2015–2016 with a total of 23,203 WRA. Data were analyzed using descriptive statistics to characterize the burden of anemia, regression analyses to examine the adjusted change in the prevalence of anemia and remaining determinants thereof, and the Global Information System (GIS) to map the differences in the burden of anemia in Tanzania over the period of one decade. Considering the risk factors of anemia observed in our study, WRA in Tanzania should have been 15% less likely to suffer from anemia in 2015 compared to 2005. However, a small decline (3.6%) was not evenly distributed across the regions in Tanzania. Factors that remained significantly associated with anemia among WRA in the latest survey include age above 35 years (AOR = 1.564, p = 0.007), education level (AOR = 0.720, p = 0.001), pregnancy status (AOR = 1.973, p < 0.001), and use of contraception (AOR of 0.489, p < 0.001). Our findings suggest that WRA in Tanzania aged above 35 should be the target population to accept the more tailored interventions.
Angiotensin Receptor Blockers in the Management of Hypertension: A Real-World Perspective and Current Recommendations

Abstract Hypertension represents a major common cardiovascular risk factor. Optimal control of high blood pressure levels is recommended to reduce the global burden of hypertensive-mediated organ damage and cardiovascular (CV) events. Among the first-line drugs recommended in international guidelines, renin-angiotensin-aldosterone system antagonists [angiotensin converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARBs)] have long represented a rational, effective, and safe anti-hypertensive pharmacological strategy. In fact, current US and European guidelines recommend ACEi and ARBs as a suitable first choice for hypertension treatment together with calcium channel blockers (CCBs) and thiazide diuretics. Different studies have demonstrated that ARBs and ACEi exert a comparable effect in lowering blood pressure levels. However, ARBs are characterized by better pharmacological tolerability. Most importantly, the clinical evidence supports a relevant protective role of ARBs toward the CV and renal damage development, as well as the occurrence of major adverse CV events, in hypertensive patients. Moreover, a neutral metabolic effect has been reported upon ARBs administration, in contrast to other antihypertensive agents, such as beta-blockers and diuretics. These properties highlight the use of ARBs as an excellent pharmacological strategy to manage hypertension and its dangerous consequences. The present review article summarizes the available evidence regarding the beneficial effects and current recommendations of ARBs in hypertension. The specific properties performed by these agents in various clinical subsets are discussed, also including an overview of their implications for the current COVID-19 pandemic.
Investigating the human rhinovirus co-infection in patients with asthma exacerbations and COVID-19

Objective: To investigate the co-infections with human rhinovirus (HRV) among patients with asthma exacerbation and COVID-19 in Jordan. Also, to determine the frequency of acute asthma exacerbation before and during the COVID-19 pandemic on a matched basis. Methods: The data of this prospective cohort research consisted of clinical variables. During the first visit, and after 14-days, nasopharyngeal swabs were taken and the quantitative polymerase chain reaction was performed for HRV and SARS-CoV-2 detection. Results: Forty-seven out of 175 (26.9%) COVID-19 adult cases have been diagnosed with asthma. The number of asthma exacerbations among the study participants was higher during 2021 than in 2020 (p=0.035). Most of the included asthmatic participants (61.7%) were only positive for SARS-CoV-2 and 38.3% were co-infected with HRV. The SARS-CoV-2 cycle threshold value was lower in samples infected with both viruses compared to samples infected with SARS-CoV-2 alone, p<0.005. Conclusion: Our findings indicate that HRV and SARS-CoV-2 were significantly more prevalent in asthma exacerbations than stable asthma. Thus, HRV and/or SARS-CoV-2 infections were potentially cofactors or contributors to the asthma exacerbation in this cohort. This is the first study, in Jordan, to investigate the HRV co-infection in COVID-19 asthmatic patients and HRV could be related with a higher severity of COVID-19.
Protective Effects of Wine Polyphenols on Oxidative Stress and Hepatotoxicity Induced by Acrylamide in Rats

In recent years, it has been increasingly suggested that the consumption of natural polyphenols, in moderate amounts, is beneficial for health. The aim of this study was to investigate the efficacy of a red wine (the administered dose of 7 mL/kg/day being equivalent to ~16.5 mg/kg/day total polyphenols) compared to a white wine (the administered dose of 7 mL/kg/day being equivalent to ~1.7 mg/kg/day total polyphenols), on the prevention of acrylamide-induced subacute hepatic injury and oxidative stress in Wistar rats. Hepatic damage due to acrylamide intoxication (the administered dose being 250 µg/kg body weight, for 28 days, by intragastric gavage) was assessed by employing biochemical parameters (aspartate aminotransferase (AST) and alanine aminotransferase (ALT)) and by histopathological studies. Markers of oxidative damage were measured in terms of plasma malondialdehyde (MDA), hepatic Thiobarbituric Acid Reactive Substances (TBARS) and glutathione (GSH) levels, and liver antioxidant enzyme (superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx)) activities. Regarding hepatic enzyme activities, treatment with red wine significantly decreased the AST values (p < 0.05), while for the ALT values only a normalization tendency was observed. Treatment with red wine and white wine, respectively, significantly prevented the increase in MDA and TBARS levels (p < 0.05), as well as the depletion of GSH (p < 0.05). Red wine treatment normalized the activities of the antioxidant enzymes CAT and SOD in rats intoxicated with acrylamide, while supplementing the diet with white wine did not produce significant differences in the antioxidant enzyme activities. Histopathological findings revealed a moderate protective effect of red wine after four weeks of daily consumption. Our findings provide evidence that red wine, having a higher phenolic content than white wine, has a significant protective effect on oxidative stress and liver injury induced by acrylamide in rats, through its antioxidative activity.
A new approach to Naturalness in SUSY models

We review recent results that provide a new approach to the old problem of naturalness in supersymmetric models, without relying on subjective definitions for the fine-tuning associated with {\it fixing} the EW scale (to its measured value) in the presence of quantum corrections. The approach can address in a model-independent way many questions related to this problem. The results show that naturalness and its measure (fine-tuning) are an intrinsic part of the likelihood to fit the data that {\it includes} the EW scale. One important consequence is that the additional {\it constraint} of fixing the EW scale, usually not imposed in the data fits of the models, impacts on their overall likelihood to fit the data (or chi^2/ndf, ndf: number of degrees of freedom). This has negative implications for the viability of currently popular supersymmetric extensions of the Standard Model.
Scolicidal effects of the Nicotiana tabacum L. extract at various concentrations and exposure times

Background: Tobacco is a plant that has anti-nematode and anti-inflammatory properties, due to that it contains compounds such as nicotine sulfate. It is utilized as a medicinal plant in the therapy of infectious diseases; also, it has been used to kill insects’ larvae and plant pests. Objective: The goal of this work was the evaluation of tobacco extract effects on the scolices of hydatid cysts. Methods: Hydatid cysts of the infected sheep livers were gathered from the Qazvin abattoir and their protoscolices were isolated under sterile conditions. Fertility and viability of protoscolices were confirmed before the experiments. The protoscolices were exposed to the ethanolic extract of Nicotiana tabacum , at different concentrations (3, 5, 10, 25, 50, and 100 mg/ml) and various exposure times (10, 20, 30, 40, 50 and 60 min). Sodium chloride 0.9 % was selected as negative control. The viability of protoscolices was evaluated by staining via 0.1 % eosin. Results: At 100 mg/ml, the tobacco extract caused the death of 91.19 % of protoscolices after 10 minutes of contact, and other exposure times (20 to 60 minutes) resulted in the death of 100 % of protoscolices. Conclusion: This medicinal plant showed a good scolicidal effect and it may be used for improving the procedure of hydatid cyst surgery. But, further studies are required.
Medical therapy and imaging fixed-field alternating-gradient accelerator with realistic magnets

NORMA is a design for a normal-conducting race track fixed-field alternating-gradient accelerator (FFAG) for protons from 50 to 350 MeV. In this article we show the development from an idealised lattice to a design implemented with field maps from rigorous two-dimensional (2D) and three-dimensional (3D) FEM magnet modelling. We show that whilst the fields from a 2D model may reproduce the idealised field to a close approximation, adjustments must be made to the lattice to account for differences brought about by the 3D model and fringe fields and full 3D models. Implementing these lattice corrections we recover the required properties of small tune shift with energy and a sufficiently-large dynamic aperture. The main result is an iterative design method to produce the first realistic design for a proton therapy accelerator that can rapidly deliver protons for both treatment and for imaging at up to 350 MeV. The first iteration is performed explicitly and described in detail in the text.
Antioxidant and Anti-Urolithiatic Activity of Aqueous and Ethanolic Extracts from Saussurea costus (Falc) Lispich Using Scanning Electron Microscopy

The plant Saussurea costus (Falc) Lipsch has many biological activities and a strong curative and preventive power against a variety of diseases including cancer, diabetes, and hemorrhoids. In the current study, phytochemical screening was carried out as well as an investigation of the antilithiatic and antioxidant activities of aqueous and ethanolic extracts of this plant. The results showed that aqueous and ethanolic extracts were effective in reducing cystine stone mass and that the aqueous extract of Saussurea costus (Falc) Lipsch had the highest percentage of dissolution (6.756 ± 1.024) (p < 0.05). A turbidimetric method and a crystallization test were used to evaluate the antilithiatic activity of an aqueous and ethanolic extract of this plant on calcium oxalate crystallization. The results of these methods revealed that the ethanolic extract of this plant has a significant inhibitory effect on calcium oxalate crystallization, with a percentage inhibition of (91.017 ± 0.299) (p < 0.05) for a concentration of 2 mg mL−1. The DPPH method revealed that the ethanolic extract of Saussurea costus (Falc) Lipsch with a concentration of (IC50 = 0.12325 mg mL−1) had the highest IC50, whereas the FRAP method revealed that the aqueous extract of Saussurea costus (Falc) Lipsch with a concentration of 300 µg mL−1 has the most significant reducing power with (OD = 0.56 ± 0.05). These findings indicate that aqueous and ethanolic extracts of Saussurea costus (Falc) Lipsch had a significant effect on whewellite and weddellite and a greater free radical scavenging effect but had no effect on cystine dissolution.
Stability of the Jupiter Southern Polar Vortices Inspected Through Vorticity Using Juno/JIRAM Data

The Jovian InfraRed Auroral Mapper (JIRAM) onboard the NASA Juno mission monitored the evolution of Jupiter’s polar cyclones since their first observation ever in February 2017. Data acquired by JIRAM have revealed cloudy cyclones organized in a complex, yet stable geometrical pattern at both poles. Several studies have investigated the dynamics and the structure of these cyclones, to understand the physical mechanisms behind their formation and evolution. In this work, we present vorticity maps deduced from the wind fields for the region poleward of ∼−80°, which has been extensively covered over the last four years of observations. The cyclonic features related to the stable polar cyclones are embedded in a slightly, but diffused anticyclonic circulation, in which short‐living anticyclones emerge with respect to the surroundings. Although the general stability of both the cyclones and the whole system is strongly confirmed by this work, variations in the shape of the vortices, as well as changes in the local structures, have been observed.
Free Vibration and Bending of Gradient Auxetic Plate Using Finite Element Method

In recent years, there has been a new approach to the material industry that uses sandwich structures with auxetic honeycomb cores with the interesting property of negative Poisson's ratios. In this paper, the Finite Element Method (in ANSYS) is used to investigate natural frequency of vibration and bending characteristics under varying pressure loads applied on the top skin when changing fundamental properties of some gradient configurations, including angular gradient, thickness gradient and functional gradient configurations of the auxetic plate with honeycomb structure. Thereby, the advantages of each configuration are investigated, studied, and obtained; therefore, it is expected to be applied in various industry sectors, such as wind turbine blades, aircraft wings, among others.
Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

Simple Summary In the present review, an up-to-date summary of the state of the art of artificial intelligence (AI) implementation for thyroid nodule characterization and cancer is provided. The opinion on the real effectiveness of AI systems remains controversial. Taking into consideration the largest and most scientifically valid studies, it is possible to state that AI provides results that are comparable or inferior to expert ultrasound specialists and radiologists. Promising data approve AI as a support tool and simultaneously highlight the need for a radiologist supervisory framework for AI provided results. Therefore, current solutions might be more suitable for educational purposes. Abstract Machine learning (ML) is an interdisciplinary sector in the subset of artificial intelligence (AI) that creates systems to set up logical connections using algorithms, and thus offers predictions for complex data analysis. In the present review, an up-to-date summary of the current state of the art regarding ML and AI implementation for thyroid nodule ultrasound characterization and cancer is provided, highlighting controversies over AI application as well as possible benefits of ML, such as, for example, training purposes. There is evidence that AI increases diagnostic accuracy and significantly limits inter-observer variability by using standardized mathematical algorithms. It could also be of aid in practice settings with limited sub-specialty expertise, offering a second opinion by means of radiomics and computer-assisted diagnosis. The introduction of AI represents a revolutionary event in thyroid nodule evaluation, but key issues for further implementation include integration with radiologist expertise, impact on workflow and efficiency, and performance monitoring.
Thermal Modification of Spruce and Maple Wood for Special Wood Products

This article presents a proposal of thermal modification of Norway spruce and sycamore maple for special wood products, mainly for musical instruments. Selected physical and acoustical characteristics (PACHs), including the density (ρ), dynamic modulus of elasticity along the wood grain (EL), specific modulus (Esp), speed of sound along the wood grain (cL), resonant frequency (fr) and acoustic constant (A), logarithmic decrement (ϑ), loss coefficient (η), acoustic conversion efficiency (ACE), sound quality factor (Q), and the timbre of sound, were evaluated. These two wood species were chosen regarding their use in the production or repair of musical instruments. For the thermal modification, a similar process to the ThermoWood process was chosen. Thermal modification was performed at the temperatures 135 °C, 160 °C and 185 °C. The resonant dynamic method was used to obtain the PACHs. Fast Fourier transform (FFT) was used to analyze the sound produced. The changes in the observed wood properties depended on the treatment temperature. Based on our results of all properties, the different temperature modified wood could find uses in the making of musical instruments or where the specific values of these wood characteristics are required. The mild thermal modification resulted in a decrease in mass, density, and increased speed of sound and dynamic modulus of elasticity at all temperatures of modification. The thermally modified wood showed higher sound radiation and lower loss coefficients than unmodified wood. The modification also influenced the timbre of sound of both wood species.
Middle Jurassic fossils document an early stage in salamander evolution

Significance Little is known about stem-lineage salamanders, limiting understanding of their early evolution and of the origins of modern amphibian diversity. We report new, three-dimensionally preserved skeletons of the stem-salamander Marmorerpeton, from 166 million-year-old rocks in Scotland, documenting many phylogenetically informative anatomical traits. High resolution computed tomography (CT) scans reveal unprecedented three-dimensional anatomical detail, illuminating anatomical changes during early salamander evolution. Phylogenetic analysis provides evidence for an anatomically diverse radiation of early stem salamanders distributed across Eurasia during the Middle Jurassic and Early Cretaceous. Our findings highlight the morphological variety of stem-salamanders, undermining the use of single exemplars (e.g., Karaurus; the “Archaeopteryx” of salamanders) to represent early evolutionary transitions.