Development of Biofilms for Antimicrobial Resistance

Biofilms are a unit referred to as assemblage of microbial cells growing as surface-attached microbial communities within the natural surroundings. Their genetic and physiological aspects are widely studied. Biofilm development involves the assembly of extracellular compound substances that forms the most bailiwick network. Quorum sensing is one more crucial development specifically connected with biofilm formation in several microorganism species. In ecological purpose, the biofilm offers protection against unfavorable conditions and provides a platform for the genetic transfer. A biofilm-forming bacterium area unit is medically necessary, as they are resistant to several antibiotics and might spread resistant genes. This chapter provides the summary of microorganism biofilm formation and its significance in ecology

Considering curriculum, content, and delivery for adaptive pathways: higher education and disaster resilient infrastructure in the Indian urban context

In the context of urbanisation in the Global South and increasing climate-induced disaster events, fostering resilience in infrastructure systems is critical to delivering on goals of economic development, poverty reduction, and climate action. Adaptive pathways, given its inherent consideration of uncertainty and an embedded feedback mechanism, becomes a necessary conceptual underpinning to deliver on the resilient infrastructure challenge. We argue that knowledge and iterative learning are key components that enable the flexibility of adaptive pathways. Higher education (HE) plays a critical role in influencing knowledge that is adaptive and dynamic to respond to this challenge. This study adopts a qualitative approach with a case study design to identify gaps in how urban resilient infrastructure is conceptualised and taught in HE institutions. The study finds that interdisciplinarity, when reflected in the elements of content, pedagogy, and delivery would foster substantial critical thinking and reflexivity required to address the resilient infrastructure challenge

Climate resilient development pathways in the Hindu Kush Himalayan region

Communities throughout the world face substantial challenges in the face of climate change. This is of particular concern in climate change hotspots, especially where extreme climate effects coincide with large numbers of vulnerable and poor people. The Hindu Kush Himalayan region is one such climate change hotspot. For development to be sustainable in the Hindu Kush Himalayan region, interventions need to include choices and actions that improve livelihoods and alleviate poverty, counteract climate change, are inclusive for the most vulnerable and resilient over time. Climate resilient development pathways present an option to bring together these goals, by consolidating climate action and development choices to generate pathways towards sustainable development.UK Government’s Foreign and Commonwealth Development Office (FCDO

The IDENTIFY study: the investigation and detection of urological neoplasia in patients referred with suspected urinary tract cancer - a multicentre observational study

Objective To evaluate the contemporary prevalence of urinary tract cancer (bladder cancer, upper tract urothelial cancer [UTUC] and renal cancer) in patients referred to secondary care with haematuria, adjusted for established patient risk markers and geographical variation. Patients and Methods This was an international multicentre prospective observational study. We included patients aged ≥16 years, referred to secondary care with suspected urinary tract cancer. Patients with a known or previous urological malignancy were excluded. We estimated the prevalence of bladder cancer, UTUC, renal cancer and prostate cancer; stratified by age, type of haematuria, sex, and smoking. We used a multivariable mixed-effects logistic regression to adjust cancer prevalence for age, type of haematuria, sex, smoking, hospitals, and countries. Results Of the 11 059 patients assessed for eligibility, 10 896 were included from 110 hospitals across 26 countries. The overall adjusted cancer prevalence (n = 2257) was 28.2% (95% confidence interval [CI] 22.3–34.1), bladder cancer (n = 1951) 24.7% (95% CI 19.1–30.2), UTUC (n = 128) 1.14% (95% CI 0.77–1.52), renal cancer (n = 107) 1.05% (95% CI 0.80–1.29), and prostate cancer (n = 124) 1.75% (95% CI 1.32–2.18). The odds ratios for patient risk markers in the model for all cancers were: age 1.04 (95% CI 1.03–1.05; P < 0.001), visible haematuria 3.47 (95% CI 2.90–4.15; P < 0.001), male sex 1.30 (95% CI 1.14–1.50; P < 0.001), and smoking 2.70 (95% CI 2.30–3.18; P < 0.001). Conclusions A better understanding of cancer prevalence across an international population is required to inform clinical guidelines. We are the first to report urinary tract cancer prevalence across an international population in patients referred to secondary care, adjusted for patient risk markers and geographical variation. Bladder cancer was the most prevalent disease. Visible haematuria was the strongest predictor for urinary tract cancer

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Computational insights into the active structure of SGK1 and its implication for ligand design

Serum- and glucocorticoid-inducible kinase 1 (SGK1), a protein kinase, shares significant structural similarity with other members of the AGC protein kinase family. It has been reported that the inactive SGK1 structure lacks αC helix and this unique feature makes it distinct from other protein kinases. Activation of SGK1 by PDK1 requires phosphorylation at Thr256, but the structural insights of the activation remain unclear. The co-crystal structures of small molecule inhibitors, Magnesium (Mg+2) and ATP bound to the inactive SGK1 are reported however the important regulatory domains such as αC helix are missing in these crystal structures. We modelled the missing αC domain and employed computational molecular dynamics simulations to study the conformational changes in the WT and phosphorylated human SGK1 to systematically investigate how the individual domain motions are modulated by the binding of substrate and Mg+2. The MD results corroborate with the experiential findings and has shown that the inactive SGK1 lacks αC helix content. Surprisingly, we find that the active SGK1 structure closely resembles with other protein kinases and adopt the αC helix content up on SGK1 phosphorylation. However, the residues participating in αC helix formation are fewer than reported in protein kinase A structure, a close relative of SGK1. The computational binding analysis reveals that most of the SGK1 selective inhibitors have less binding affinity for active SGK1 than some FDA-approved kinase inhibitors such as Afatinib, Tofacitinib, Dabrafenib, and Palbociclib. Only EMD638683 was seen as a strong candidate for selective SGK1 inhibition. To our knowledge, this is the first dynamic study of SGK1 that provides new structural insights around the active site that would surely help the experimental biologists for the design of suitable selective ligands able to inhibit or activate SGK1 function

Metabolic Engineering: Achieving New Insights to Ameliorate Metabolic Profi les in Withania somnifera

The authors thank the Council of Scientifi c and Industrial Research (CSIR), New Delhi, and CSIR-National Chemical Laboratory, Pune, India, for the fi nancial support. NP and PP acknowledge the University Grants Commission (UGC), New Delhi, India, for providing Senior Research Fellowship and DSK Postdoctoral Fellowship, respectively

Machine Learning-based Regression and Classification Models for Oil Assessment of Power Transformers

Expensive and widely used power and distribution transformers need to be monitored to ensure the reliability of the power grid. Evaluating the transformer oil different parameters is vital to determine the transformer insulation health conditions. In this paper, both regression and classification models based on machine learning are used to test the correlation between the interfacial tension values (IFT) of the transformer oil with other oil test results, namely, breakdown voltage, acidity, color, dissipation factor and water content. Experimental results with oil samples obtained for 730 units indicate that both acidity and color have the highest correlation with IFT. Nevertheless, other parameters like breakdown voltage and dielectric dissipation factor contributes marginally in increasing the classifier output accuracy when added to the acidity and color. 2020 IEEE.Scopu

Microprojectile bombardment assisted agroinfection increases transformation efficiency of Withania somnifera (L.)

Withania somnifera (L.) Dunal, an evergreen shrub distributed throughout the drier parts of India, is well known for its medicinal properties. Three different approaches were employed towards development of an efficient transformation system in Withania somnifera, namely Agrobacterium tumefaciens-mediated transformation, microprojectile bombardment and microprojectile bombardment assisted agroinfection