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The ash of C. polygonoides (locally called balanza) was collected from Lakki Marwat, Khyber Pakhtunkhwa, Pakistan, and was utilized as biosorbent for methylene blue (MB) removal from aqueous solution. The ash was used as biosorbent without any physical or chemical treatment. The biosorbent was characterized by using various techniques such as Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and scanning electron microscopy (SEM). The particle size and surface area were measured using particle size analyzer and Brunauer-Emmett-Teller equation (BET), respectively. The SEM and BET results expressed that the adsorbent has porous nature. Effects of various conditions such as initial concentration of methylene blue (MB), initial pH, contact time, dosage of biosorbent, and stirring rate were also investigated for the adsorption process. The rate of the adsorption of MB on biomass sample was fast, and equilibrium has been achieved within 1 hour. The kinetics of MB adsorption on biosorbent was studied by pseudo-first- and pseudo-second-order kinetic models and the pseudo-second-order has better mathematical fit with correlation coefficient value (R2) of 0.999. The study revealed that C. polygonoides ash proved to be an effective, alternative, inexpensive, and environmentally benign biosorbent for MB removal from aqueous solution.

In the current research work, local clay-alginate beads loaded with sodium dodecyl sulfate (SDS) surfactant were prepared for efficient adsorption of methylene blue (MB). FTIR, SEM–EDX, and TGA instruments were used to examine the surface functional groups, morphology, elemental analysis, and thermal stability of beads, respectively. The adsorption efficiency of native clay for MB increases from 124.78 to 247.94 mg/g when loaded in alginate and SDS in beads form. The impacts of adsorbent dosage, initial pH, contact time, initial MB concentration, and temperature were investigated and optimized. The maximum adsorption capacity of beads for MB was 1468.5 mg/g. The process followed a pseudosecond order kinetic and Freundlich adsorption isotherm model. Thermodynamic study confirmed that MB adsorption on beads is endothermic and spontaneous in nature. The beads were recycled and reused for five times. According to the findings, local clay-alginate beads impregnated with SDS proved to be a promising and efficient adsorbent for extracting MB from aqueous solution.

Vitamin C stands as an essential water-soluble vitamin, antioxidant and has been shown to enhance immunity. SARS-CoV-2 has been spreading rapidly across the worldwide, several cellular processes of innate and adaptive immunity are aided by vitamin C, which strengthens the immune system overall. Multiple lines of evidence in the literature associate vitamin C with antioxidant, anti-inflammatory, anticoagulant and immunomodulatory actions. Pneumonia and sepsis patients had poor ascorbic acid status and high oxidative stress, according to many studies. Pneumonia patients who get vitamin C may have less severe symptoms and a longer course of the illness if they do. To standardize plasma levels in sepsis patients, gram measurements of the vitamin must be administered intravenously (IV). This intervention has been shown in a few trials to reduce mortality. COVID-19 management in China and the United States has exhibited remarkable results when using a high percentage of intravenous vitamins C. It's acceptable to include vitamin C in the COVID-19 treatment protocol as a secondary measure based on the current active clinical studies looking at the impact of vitamin C on the management of COVID-19. Patients with hypovitaminosis C or severe respiratory illnesses, such as COVID-19, may benefit from taking vitamin C, due to its good safety profile, simplicity of use, and potential for rapid production scaling. The study's goal was to see whether high dosage intravenous vitamin C had any impact on individuals with severe COVID-19 (HDIVC). Finally we discuss recent research that has been published on the efficacy of vitamin C administration in the treatment of viral infection and life-threatening conditions. The purpose of this manuscript is to summarise existing research on the efficacy of vitamin C as a treatment for COVID-19 and to discuss possible explanations for why it may work in some individuals but not in others.

The present study aimed to assess the spatial distribution and invasion potential of naturalized Datura innoxia Mill., a member of the family Solanaceae, across elevation, edaphic, and climatic gradients in invaded communities of semiarid regions in northern Pakistan. The species’ phytosociological attributes, diversity indices, and biotic and environmental factors were assessed in 21 sites (210 plots) and categorized into three elevation groups separated by Ward’s agglomerative cluster. The vegetation was dominated by annual species, which facilitated the naturalization and invasion of alien species. The groups were dominated by D. innoxia, having different codominant species Parthenium hysterophorus L. in Group I, Medicago denticulata in Group II, and Parthenium hysterophorus in Group III; however, the third codominant species of groups I and III were different. In addition, Canonical correspondence analysis (CCA) unveiled that abiotic factors such as elevation (r = −0.65), mean yearly temperature (r = 0.79), annual yearly humidity (r = 0.76), and day length in hours (r = 0.79) and biotic factors such as cultivated fields (r = −0.83) and traffic density (r = 0.70) were strongly correlated on canonical axes, revealing their vital importance in determining vegetation structure. The study concluded that this naturalized species propagated efficiently in the present environmental conditions and if these conditions prevailed, the species would be established as an invasive species. Therefore, control of this naturalized species is critically important, including their exploitation for medicinal and phytochemical utilization, which will enhance the protection of native populations.

The paper presents our solutions for the MediaEval 2020 task namely FakeNews: Corona Virus and 5G Conspiracy Multimedia Twitter-Data-Based Analysis. The task aims to analyze tweets related to COVID-19 and 5G conspiracy theories to detect misinformation spreaders. The task is composed of two sub-tasks namely (i) text-based, and (ii) structure-based fake news detection. For the first task, we propose six different solutions relying on Bag of Words (BoW) and BERT embedding. Three of the methods aim at binary classification task by differentiating in 5G conspiracy and the rest of the COVID-19 related tweets while the rest of them treat the task as ternary classification problem. In the ternary classification task, our BoW and BERT based methods obtained an F1-score of .606% and .566% on the development set, respectively. On the binary classification, the BoW and BERT based solutions obtained an average F1-score of .666% and .693%, respectively. On the other hand, for structure-based fake news detection, we rely on Graph Neural Networks (GNNs) achieving an average ROC of .95% on the development set.