Divide & Quantum

When the operating system was introduced to the world, many functions of it were also introduced that included process management, file management, memory management, networking. As the operating system tends to interact with different operations at the runtime so keeping that in mind we can say that the process management is most essential in an operating system because it allows the operating system to interact with different operations more efficiently and it also improves the timing of the operating systems to interact between the processes. In order to manage between processes many algorithms were introduced by different people and different minds and today we find this as an opportunity develop something new by keeping the previous algorithms in mind and compare them and find a best possible result

Developing an effective scale-down model for a suspension adapted Hek293t-derived lentiviral vector stable producer cell line

Lentiviral vectors (LVV) represent an important tool for cell and gene therapy applications. However, inefficiencies in LVV manufacturing processes, such as the inability to achieve high cell densities with HEK293T cell lines in a fed batch process, have resulted in poor upstream yields. Optimisation of cell culture conditions is needed to improve upstream yields, which can be expedited by high-throughput screening (HTP). In this work, we describe the use of the 24 deep square well (24-DSW) microwell platform to develop a scale-down mimic of GSK’s established stable suspension LVV production process model at 2 L bioreactor scale. We found that matched mixing time was an effective basis for scale-translation between the stirred tank reactor (STR) and microwells. The growth kinetics and LVV productivity profile in the microwell were reproducible and comparable to the 2 L bioreactor process model. In both vessels, a 6-fold increase in cell density was achieved at the harvest time point and high cell viability (i.e. \u3e 90 %) was also maintained throughout the entirety of the cultures. The 24-DSW model, therefore, is an effective scale-down model for larger-scale stirred-tank bioreactor culture and provides an important tool for rapid, high-throughput optimization of the LVV production process

Association of renal biomarkers in COVID-19 patients: A retrospective study

Background: The new severe acute respiratory syndrome coronavirus 2 is the cause of the transmissible sickness known as coronavirus disease 2019 (COVID-19) (SARS-CoV-2). Although it often presents as an acute respiratory infection, it can also have a negative impact on the kidneys, heart, gastrointestinal, and nervous system. The aims of this study to find out the association of renal biomarkers among dialysis patients in COVID-19 positive and negative. Methods: A retrospective study was conducted in the Department of medical laboratory technology, the university of Haripur, Khyber Pakhtunkhwa, Pakistan. A Total of 129 Dialysis patients blood samples were collected from March 2022 to April 2022 in which 13 males and 20 females are COVID-19 positive while 41 males and 55 females are COVID-19 negative. The obtained data was statistically analyzed by using PRISM version 5.0 by applying two-way ANOVA and Comparisons between Covid positive and negative patients RFTs by using Bonferroni posttest. Results: Male patients with chronic kidney disease (on dialysis) with COVID-19 negative and positive their mean urea difference was 95.20mg/dl and 159.6mg/dl, while COVID-19 negative and positive the mean creatinine difference was 8.534mg/dl and 13.81mg/dl respectively. While there was no significance difference in uric acid concentration in CKD patients with COVID-19 negative and positive. Female patients with chronic kidney disease (on dialysis) with COVID-19 negative and positive their mean urea difference was 103.20mg/dl and 152.6mg/dl, while COVID-19 negative and positive the mean creatinine difference was 8.114mg/dl and 8.584mg/dl respectively. While there was no significance difference in uric acid concentration in CKD patients with COVID-19 negative and positive. Conclusion: This study concludes that there is positive relationship or association of renal biomarkers in COVID-19 positive patients. Significance association between urea and creatinine in COVID-19 positive

Detection of Brain Tumor Using Deep Learning

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of data. Deep learning is used as a technique to produce brain tumor detection and classification models using Magnetic Resonance Imaging (MRI) imaging for rapid and easy detection and identification of brain tumor. In this thesis, some ways and mechanisms will be reviewed to use deep learning techniques to produce a model for brain tumor detection. The goal is to find a good and effective way to detect brain tumor based on MRI to help the brain doctor in making decisions easily, accurately and rapidly. A recent report by the World Health Organization in February 2018 showed that the death rate from brain cancer or central nervous system (CNS) is the highest in the Asian continent. It is important to detect cancer early so that many of these lives can be saved. The model has been designed and implemented, including a dataset which consist of 10,000 images for brain tumor detection through the use of Deep learning algorithms based on neural networks. For testing, we have used our model, Inception, VGG16, MobileNet and ResNet models. The f-score accuracy we got for each model was as follows: Our model was 98.28, VGG16 was 99.86%, ResNet50 was 98.14%, MobileNet was 88,98%, and InceptionV3 was 99.88%

Stakeholder views on the barriers and facilitators of psychosocial interventions to address reduction in aggressive challenging behaviour in adults with intellectual disabilities

Success of psychosocial interventions in reducing aggressive challenging behaviour is likely to be related not only to mechanistic aspects but also to therapeutic and system factors. The study aims to examine the facilitators and barriers that influence whether psychosocial interventions for aggressive challenging behaviour in adults with intellectual disabilities lead to positive change. We conducted 42 semi-structured interviews with adults with intellectual disabilities who display aggressive challenging behaviour, family/paid carers, and professionals engaged in or delivering a psychosocial intervention across the UK. Data were analysed thematically using a framework approach. Stakeholders considered therapeutic and supportive relationships and personalised care as facilitating factors in addressing aggressive challenging behaviour. The operational structure of community intellectual disability services and conflicting expectations of professionals and carers were the main contextual barriers that impeded the implementation of psychosocial interventions in adults with intellectual disabilities. Findings highlight the valued components that maximise positive change in adults with intellectual disabilities who display aggressive challenging behaviour. Several operational adjustments including referral criteria, roles of professionals and workforce issues need to be addressed in services to maximise the implementation of psychosocial interventions leading to reduction in aggressive challenging behaviour in this population

Stakeholder views on the barriers and facilitators of psychosocial interventions to address reduction in aggressive challenging behaviour in adults with intellectual disabilities.

BACKGROUND: Success of psychosocial interventions in reducing aggressive challenging behaviour is likely to be related not only to mechanistic aspects, but also to therapeutic and system factors. The study aims to examine the facilitators and barriers that influence whether psychosocial interventions for aggressive challenging behaviour in adults with intellectual disabilities lead to positive change. METHODS: We conducted 42 semi-structured interviews with adults with intellectual disabilities and aggressive challenging behaviour, family/paid carers, and professionals engaged in or delivering a psychosocial intervention across the UK. Data were analysed thematically using a framework approach. RESULTS: Stakeholders considered therapeutic and supportive relationships and personalised care as facilitating factors of psychosocial interventions to address aggressive challenging behaviour. The operational structure of community intellectual disability services and conflicting expectations of professionals and carers were the main contextual barriers that impeded the implementation of psychosocial interventions addressing aggressive challenging behaviour in adults with intellectual disabilities. CONCLUSIONS: Findings highlight the valued components that maximise positive change in adults with intellectual disabilities who display aggressive challenging behaviour. Several operational adjustments including referral criteria, roles of professionals and workforce issues need to be addressed in services to maximise the implementation of psychosocial interventions to reduce aggressive challenging behaviour in adults with intellectual disabilities

Low apoplastic Na+ and intracellular ionic homeostasis confer salinity tolerance upon Ca2SiO4 chemigation in Zea mays L. under salt stress

Salinity is known to have a greater impact on shoot growth than root growth. Na+ buildup in plant tissue under salt stress has been proposed as one of the main issues that causes growth inhibition in crops via ionic imbalances, osmotic stress and pH disturbances. However, the evidence for apoplastic Na+ buildup and the role of silicon in Na+ accumulation at the subcellular level is still enigmatic. The current study focuses on the accumulation of Na+ in the apoplast and symplast of younger and older leaves of two maize varieties (Iqbal as salt-tolerant and Jalal as salt-sensitive) using hydroponic culture along with silicon supplementation under short-term salinity stress. Subcellular ion analysis indicated that silicon nutrition decreased Na+ concentration in both apoplastic washing fluid and symplastic fluid of maize under salt stress. The addition of silicon under NaCl treatment resulted in considerable improvement in fresh biomass, relative water content, chlorophyll content, and concentration of important subcellular ions (i.e., Ca2+, Mg2+, and K+). Knowledge of subcellular ion analysis is essential for solving the mechanisms underlying vital cellular functions e.g. in the current study, the soluble Na+ concentration in the apoplast of older leaves was found to be significantly greater (36.1 mM) in the salt-sensitive variety under NaCl treatment, which was 42.4% higher when compared to the Na+ concentration in the salt-tolerant variety under the same treatment which can influence permeability of cell membrane, signal transduction pathways and provides insights into how ion compartmentalization can contributes to salt tolerance. Calcium silicate enrichment can contribute to increased growth and improved ionic homeostasis by minimizing leaf electrolyte leakage, improving mechanical functions of cell wall and reducing water loss, and improved photosynthetic function. In current investigation, increased water content and intracellular ionic homeostasis along with reduced concentration of Na+ in the maize leaf apoplast suggest that calcium silicate can be used to ameliorate the adverse effects of salt stress and obtain yield using marginal saline lands

Stakeholder views on the barriers and facilitators of psychosocial interventions to address reduction in aggressive challenging behaviour in adults with intellectual disabilities [version 2; peer review: 2 approved]

Background Success of psychosocial interventions in reducing aggressive challenging behaviour is likely to be related not only to mechanistic aspects but also to therapeutic and system factors. The study aims to examine the facilitators and barriers that influence whether psychosocial interventions for aggressive challenging behaviour in adults with intellectual disabilities lead to positive change. We conducted 42 semi-structured interviews with adults with intellectual disabilities who display aggressive challenging behaviour, family/paid carers, and professionals engaged in or delivering a psychosocial intervention across the UK. Data were analysed thematically using a framework approach. Stakeholders considered therapeutic and supportive relationships and personalised care as facilitating factors in addressing aggressive challenging behaviour. The operational structure of community intellectual disability services and conflicting expectations of professionals and carers were the main contextual barriers that impeded the implementation of psychosocial interventions in adults with intellectual disabilities. Findings highlight the valued components that maximise positive change in adults with intellectual disabilities who display aggressive challenging behaviour. Several operational adjustments including referral criteria, roles of professionals and workforce issues need to be addressed in services to maximise the implementation of psychosocial interventions leading to reduction in aggressive challenging behaviour in this population

Analytical solutions of nonlinear time fractional evaluation equations via unified method with different derivatives and their comparison

This paper is devoted to addressings the fairly interesting soliton solutions for the time fractional combined Korteweg-de Vries-modified Korteweg-de Vries equation (KdV–mKdV equation) and modified Burgers-KdV equation. The unified method along with conformable, Beta and local M-derivative are used to construct the general structure of solitary wave soliton solutions. The method allows us to find solutions in both polynomial and rational forms. Further, the comparison of solutions are given out through 3D and 2D-plots to expose the impact of fractional parameter on the obtained solutions. The reported solutions are novel and have not been discussed in the literature