Publications by authors named "SanaUllah"

Background: Plant growth and development can be greatly impacted by drought stress. Suitable plant growth promoting rhizobacteria (PGPR) or biochar (BC) application has been shown to alleviate drought stress for plants. However, their co-application has not been extensively explored in this regard.

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In yeasts and higher eukaryotes, chromatin motions may be tuned to genomic functions, with transcriptional activation and the DNA damage response both leading to profound changes in chromatin dynamics. The RAD51 recombinase is a key mediator of chromatin mobility following DNA damage. As functions of RAD51 beyond DNA repair are being discovered, we asked whether RAD51 modulates chromatin dynamics in the absence of DNA damage and found that inhibition or depletion of RAD51 alters chromatin motions in undamaged cells.

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Background: Sequestering carbon dioxide (CO) in agricultural soils promises climate change mitigation as well as sustainable ecosystem services. In order to stabilize crop residues as soil carbon (C), addition of mineral nutrients in excess to crop needs is suggested as an inevitable practice. However, the effect of two macronutrients .

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The nutritional quality improvement is among the most integral objective for any rice molecular breeding programs. The seed storage proteins (SSPs) have greater role to determine the nutritional quality of any cereal grains. Rice contains relatively balanced amino acid composition and the SSPs are fractioned into albumins (ALB), globulins (GLO), prolamins (PRO) and glutelins (GLU) according to differences in solubility.

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The nitrogen (N) cycle is an intricate biogeochemical process that encompasses the conversion of several chemical forms of N. Given its role in food production, the need for N for life on Earth is obvious. However, the release of reactive nitrogen (Nr) species throughout different biogeochemical processes contributes to atmospheric pollution.

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Article Synopsis
  • Researchers developed a new method called ultrasonic assisted magnetic ionic liquid-based dispersive liquid microextraction (UA-MIL-DLLME) to effectively extract gallic acid (GA), known for its high antioxidant properties, from complex samples before detecting it spectrophotometrically.
  • The study identified that the magnetic ionic liquid [P][Mn(hfacac)] was the most effective for separating the GA-Se complex in aqueous solutions, leading to a wide linear detection range and a very low limit of detection.
  • The new method demonstrated high extraction recovery rates, consistent precision, and successfully extracted GA from various complex samples, improving upon existing techniques.
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Well-known continuous distributions such as Beta and Kumaraswamy distribution are useful for modeling the datasets which are based on unit interval [0,1]. But every distribution is not always useful for all types of data sets, rather it depends on the shapes of data as well. In this research, a three-parameter new distribution named bounded exponentiated Weibull (BEW) distribution is defined to model the data set with the support of unit interval [0,1].

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Background: The use of protein supplements by athletes has risen due to their effectiveness in meeting dietary needs. However, there is a growing concern about the presence of potentially toxic metals (PTMs. Al, Cr, Mn, Ni, Cu, Zn, Cd, and Pb) in these supplements.

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Article Synopsis
  • Many people worldwide consume nutraceuticals and dietary supplements without realizing they may contain hazardous trace and heavy metals that exceed safe limits, posing health risks.
  • The study measured levels of beneficial trace metals (like manganese, copper, and zinc) and harmful heavy metals (including aluminum, chromium, and lead) in these products using advanced analysis techniques.
  • Findings showed that while some metal levels exceeded safety thresholds set by health organizations, the overall risk to health appeared minimal, suggesting that such products should still be taken under professional supervision.
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In this study, a cheap, fast and simple orbital shaker-assisted fatty acid-based switchable solvent microextraction (OS-FASS-ME) procedure was developed for the extraction of amoxicillin (AMOX) in dairy products, pharmaceutical samples and wastewater prior to its spectrophotometric analysis. Fatty acid-based switchable solvents were investigated for extracting AMOX. The key factors of the OS-FASS-ME procedure were optimized using a central composite design.

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Article Synopsis
  • - The study investigates levels of trace metals (TMs) and heavy/non-essential metals (HnMs) in popular beverages, stressing the importance of regular monitoring due to health concerns.
  • - A total of ten metals were analyzed in both carbonated and non-carbonated brands, revealing the highest levels of zinc and manganese among TMs, while cadmium and lead were the most prevalent HnMs.
  • - Despite finding metal concentrations, the calculated risk assessments (Hazard Index and Cumulative Cancer Risk) suggest low health risks associated with these metals in the beverages sampled.
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In this paper, a green, cost-effective sample preparation method based on air assisted liquid phase microextraction (AA-LPME) was developed for the simultaneous extraction of As(III) and Sb(III) ions from vegetable samples using hydrophilic/hydrophobic natural deep eutectic solvents (NADESs). Central composite design was used for the optimization of extraction factors including NADES volume, extraction cycle, pH, and curcumin concentration. Limits of detection for As(III) and Sb(III) were 1.

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  • The study looks at the tea plant, which is popular around the world but can be contaminated by harmful substances from farming and industry.
  • Researchers wanted to check for potentially toxic elements (PTEs) like metals in tea leaves and tea made from those leaves.
  • They found some metals in higher amounts than what is considered safe, but overall, the risk to people drinking the tea is low.
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Soybean (Glycine max ) is an important oilseed, protein and biodiesel crop. It faces significant threats from bacterial, fungal and viral pathogens, which cause economic losses and jeopardises global food security. In this article, we explore the relationship between soybeans and these pathogens, focusing on the molecular responses that are crucial for soybeans defence mechanisms.

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Background: Dental anxiety is very much common among the patients and could be due to different factors like the behavior of the dentist, past experiences, Needle phobia, or word of mouth from other patients. According to recent studies, a strong association between sound and anxiety has been found, so this observational study has been conducted to find out the link between the activation of anxiety with the sound of a handpiece between experienced patients, who have already gone through the dental treatments and non-experienced patients.

Methods: Total of 297 participants were part of this study.

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Root system architecture (RSA) plays a fundamental role in nutrient uptake, including zinc (Zn). Wheat grains are inheritably low in Zn. As Zn is an essential nutrient for plants, improving its uptake will not only improve their growth and yield but also the nutritional quality of staple grains.

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The piezoelectric effect is widely known to have a significant physiological function in bone development, remodeling, and fracture repair. As a well-known piezoelectric material, barium titanate is particularly appealing as a scaffold layer to improve bone tissue engineering applications. Currently, the chemical bath deposition method is used to prepare green synthesized barium titanate coatings to improve mechanical and biological characteristics.

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This study introduces a pioneering scrambling response model tailored for handling sensitive variables. Subsequently, a generalized estimator for variance estimation, relying on two auxiliary information sources, is developed following this novel model. Analytical expressions for bias, mean square error, and minimum mean square error are meticulously derived up to the first order of approximation, shedding light on the estimator's statistical performance.

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In recent years, there has been a growing concern about the negative impact of unforeseen contaminants such as metals in commonly consumed food items, which pose a threat to human well-being. Therefore, it is of utmost importance to evaluate the levels of these contaminants to guarantee the safe consumption of these food items. The goal of the current research is to determine the levels of essential (EMs: Mg, Ca, Mn, Fe, Co, Cu, and Zn) and potentially toxic metals (PTMs: Al, Cr, Ni, As, Cd, and Pb) in various brands of wheat-based sweets.

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Heavy metals contamination is posing severe threat to the soil health and environmental sustainability. Application of industrial and sewage waste as irrigation and growing urbanization and agricultural industry is the main reason for heavy metals pollution. Therefore, the present study was planned to assess the influence of different irrigation sources such as industrial effluents, sewage wastewater, tube well water, and canal water on the soil physio-chemical, soil biological, and enzymatic characteristics.

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This article presents a comprehensive analysis of spiking neural networks (SNNs) and their mathematical models for simulating the behavior of neurons through the generation of spikes. The study explores various models, including and , for constructing SNNs and investigates their potential applications in different domains. However, implementation poses several challenges, including identifying the most appropriate model for classification tasks that demand high accuracy and low-performance loss.

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Spiking Neural Networks (SNNs) help achieve brain-like efficiency and functionality by building neurons and synapses that mimic the human brain's transmission of electrical signals. However, optimal SNN implementation requires a precise balance of parametric values. To design such ubiquitous neural networks, a graphical tool for visualizing, analyzing, and explaining the internal behavior of spikes is crucial.

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