Many protein-ionic liquid investigations have examined laccase interactions. Laccases are a class of poly-copper oxidoreductases that retain significant biotechnological relevance owing to their notable oxidative capabilities and their application in the elimination of synthetic dyes, phenolic compounds, insecticides, and various other substances. This study investigates the impact of surface active ionic liquids (SAILs), namely, decyltrimethylammonium bromide [N][Br] and 1-decyl-3-methylimidazolium chloride [C][Cl] as cationic surfactant ionic liquids and cholinium decanoate [Chl][Dec], an anionic surfactant ionic liquid, on the structure and function of laccase from the fungus Trametes versicolor (TvL) by the molecular dynamics (MD) simulation method.
View Article and Find Full Text PDFIn December 2019, Corona Virus Disease 2019 (COVID-19) was first identified and designated as a pandemic in March 2020 due to rapid spread of the virus globally. At the beginning of the pandemic, only a few treatment options, mainly focused on supportive care and repurposing medications, were available. Due to its effects on immune system, vitamin D was a topic of interest during the pandemic, and researchers investigated its potential impact on COVID-19 outcomes.
View Article and Find Full Text PDFAn important component of the pathogenicity of potentially pathogenic bacteria in humans is the urease enzyme. In order to avoid the detrimental impact of ureolytic bacterial infections, the inhibition of urease enzyme appears to be an appealing approach. Therefore, in the current study, morpholine-thiophene hybrid thiosemicarbazone derivatives () were designed, synthesized and characterized through FTIR, H NMR, C NMR spectroscopy and mass spectrometry.
View Article and Find Full Text PDFThis paper conducts a comprehensive study on intermittent computing within IoT environments, emphasizing the interplay between different dataflows-row, weight, and output-and a variety of non-volatile memory technologies. We then delve into the architectural optimization of these systems using a spatial architecture, namely IDEA, with their processing elements efficiently arranged in a rhythmic pattern, providing enhanced performance in the presence of power failures. This exploration aims to highlight the diverse advantages and potential applications of each combination, offering a comparative perspective.
View Article and Find Full Text PDFIn wastewater treatment plants (WWTPs), the stochastic nature of influent wastewater and operational and weather conditions cause fluctuations in effluent quality. Data-driven models can forecast effluent quality a few hours ahead as a response to the influent characteristics, providing enough time to adjust system operations and avoid undesired consequences. However, existing data for training models are often incomplete and contain missing values.
View Article and Find Full Text PDFBackground: Hospital sinks are environmental reservoirs that harbour healthcare-associated (HCA) pathogens. Selective pressures in sink environments, such as antibiotic residues, nutrient waste and hardness ions, may promote antibiotic resistance gene (ARG) exchange between bacteria. However, cheap and accurate sampling methods to characterize these factors are lacking.
View Article and Find Full Text PDFThe Caspian Sea is a large inland brackish basin, vulnerable to invaders due to its long isolation and considerable endemism among its native biota. A brief description of Caspian biota evolution until its modern state is given. The pathways and vectors of invasion and the ways of establishment of non-native species since the early 20th century are summarized.
View Article and Find Full Text PDFThe authors have withdrawn their manuscript due to becoming aware of methodology issues related to the curation of the training set used to determine cut-off values for Biotyper cluster assignation and lack of replicate measurements on different days for the isolates analysed. It is therefore unclear whether the conclusions of the manuscript are founded and no further work is possible to correct these issues as the instrument is no longer available to the authors. If you have any questions, please contact the corresponding author.
View Article and Find Full Text PDFMedical imaging is an essential data source that has been leveraged worldwide in healthcare systems. In pathology, histopathology images are used for cancer diagnosis, whereas these images are very complex and their analyses by pathologists require large amounts of time and effort. On the other hand, although convolutional neural networks (CNNs) have produced near-human results in image processing tasks, their processing time is becoming longer and they need higher computational power.
View Article and Find Full Text PDFBackground: Peripheral arterial disease is a major health problem, and in about 1% to 2% of patients, the disease progresses to critical limb ischaemia (CLI), also known as critical limb-threatening ischaemia. In a substantial number of individuals with CLI, no effective treatment options other than amputation are available, with around a quarter of these patients requiring a major amputation during the following year. This is the second update of a review first published in 2011.
View Article and Find Full Text PDFγδ T cells are rare lymphocytes with cogent impact on immune responses. These cells are one of the earliest cells to be recruited in the sites of infection or tumors and play a critical role in coordinating innate and adaptive immune responses. The anti-tumor activity of γδ T cells have been numerously reported; nonetheless, there is controversy among published studies regarding their anti-tumor vs pro-tumor effect- especially in pancreatic cancer.
View Article and Find Full Text PDFTuberculosis is a respiratory disease that is treatable with antibiotics. An increasing prevalence of resistance means that to ensure a good treatment outcome it is desirable to test the susceptibility of each infection to different antibiotics. Conventionally, this is done by culturing a clinical sample and then exposing aliquots to a panel of antibiotics, each being present at a pre-determined concentration, thereby determining if the sample isresistant or susceptible to each sample.
View Article and Find Full Text PDFBackground: Burnout is a syndrome of emotional exhaustion, depersonalization, and low professional efficacy that health workers, especially nurses, experience the highest rates of this. Burnout causes stress and negative attitude towards work and feeling unable to perform tasks in the person. The purpose of this study was to investigate the effect of a method called compassion, awareness, resilience, and empowerment (CARE) on nurses' burnout.
View Article and Find Full Text PDFBackground: Electromagnetic waves can cause biological effects on repair process. Due to the proximity of the jawbone and the soft tissue around it in a part of the face with which it has the closest contact during the cell phone use, this study aims to investigate the effect of mobile waves on socket healing after tooth extraction in rats.
Methods: This experimental study was conducted on 32 rats.
In this article, a synthesis of '-(benzylidene)-2-(6-methyl-1-pyrazolo[3,4-]quinolin-1-yl)acetohydrazides and their structural interpretation by NMR experiments is described in an attempt to explain the duplication of some peaks in their H- and C-NMR spectra. Twenty new 6-methyl-1-pyrazolo[3,4-]quinoline substituted -acylhydrazones (-) were synthesized from 2-chloro-6-methylquinoline-3-carbaldehyde () in four steps. 2-Chloro-6-methylquinoline-3-carbaldehyde (1) afforded 6-methyl-1-pyrazolo[3,4-]quinoline (), which upon -alkylation yielded 2-(6-methyl-1-pyrazolo[3,4-]quinolin-1-yl)acetate ().
View Article and Find Full Text PDFPurpose: Applications of deep learning to histopathology have proven capable of expert-level performance, but approaches have largely focused on supervised classification tasks requiring context-specific training and deployment. More generalizable workflows that can be easily shared across subspecialties could help accelerate and broaden adoption. Here, we hypothesized that histology-optimized feature representations, generated by a convolutional neural network (CNN) during supervised learning, are transferable and can resolve meaningful differences in large-scale, discovery-type unsupervised analyses.
View Article and Find Full Text PDFApplications of artificial intelligence and particularly deep learning to aid pathologists in carrying out laborious and qualitative tasks in histopathologic image analysis have now become ubiquitous. We introduce and illustrate how unsupervised machine learning workflows can be deployed in existing pathology workflows to begin learning autonomously through exploration and without the need for extensive direction. Although still in its infancy, this type of machine learning, which more closely mirrors human intelligence, stands to add another exciting layer of innovation to computational pathology and accelerate the transition to autonomous pathologic tissue analysis.
View Article and Find Full Text PDFAmeloblastomas demonstrate various clinical and microscopic patterns. They typically have been described as possessing three biologic variants including solid, cystic (unicystic) and peripheral, of which about 13% to 21% of all cases are unicystic. Granular cell subtype is a rare variant especially when both the inner and peripheral layers of tumoral islands composed exclusively of eosinophilic granular cells.
View Article and Find Full Text PDFBackground: Oxidative stress and chronic hyperglycemia are two major side effects of type 2 diabetes affecting all cell types including mesenchymal stem cells (MSCs). As a cell therapy choice, understanding the behavior of MSCs will provide crucial information for efficient treatment.
Methods: Placental mesenchymal stem cells were treated with various concentrations of glucose, metformin, rapamycin, and hydrogen peroxide to monitor their viability and cell cycle distribution.
Objective: Homo- and heterodimerization of the receptor tyrosine kinase HER2 hyperactivate several downstream signaling pathways, leading to uncontrolled growth and proliferation of tumor cells. Anti-HER2 monoclonal antibodies (mAbs) may induce different effects on HER2 dimerization and signaling. Methods: The effect of two inhibitory (2A8, 1T0) and one stimulatory (1H9) anti-HER2 mAbs either alone or in combination with trastuzumab was investigated on AKT and ERK signaling pathways and HER2 degradation in a human breast cancer cell line (BT-474) by Western blotting.
View Article and Find Full Text PDFCurr Chem Genom Transl Med
June 2018
Background: Hypercholesterolemia is a modifiable risk factor in atherosclerosis with a complex association with inflammation.
Objective: In the present study, the association between low-density lipoprotein cholesterol (LDL-C) and interleukin 17A (IL-17A), as an inflammatory cytokine, was investigated. In addition to IL-17A, serum levels of interleukin 23 (IL-23) and transforming growth factor β (TGF-β), as effective cytokines in T helper 17 cell (Th17) development, were also determined.
Background: The applicability of manual aspiration thrombectomy in patients with ST-segment elevation myocardial infarction (STEMI) has been a challenging issue. This study aimed to compare the impact of additive manual thrombectomy on patients with myocardial infarction (MI) and total cutoff vessel with standard primary percutaneous coronary intervention (PPCI) with bailout thrombectomy.
Methods: In this case-control study, 181 patients with acute STEMI were enrolled who referred to Chamran Hospital (Isfahan, Iran) between August to December 2014.
Mesenchymal stem cells (MSCs) have therapeutic potential for treatment of diabetes. However, in vitro behavior of MSCs in high glucose condition as well as presence of glucose lowering agents is not fully understood. Because MSCs have an important role in tissue repair, we examined the effects of metformin and celecoxib on viability of MSCs in different glucose conditions.
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