Remote operation and monitoring of a micro aero gas turbine

Internet applications have been extended to various aspects of everyday life and offer services of high reliability and security at relatively low cost. This project presents the design of a reliable, safe and secure software system for real-time remote operation and monitoring of an aero gas turbine with utilisation of existing internet technology, whilst the gas turbine is installed in a remote test facility This project introduces a capability that allows remote and flexible operation of an aero gas turbine throughout the whole operational envelope, as required by the user at low cost, by exploiting the available Internet technology. Remote operation of the gas turbine can be combined with other remote Internet applications to provide very powerful gas-turbine performance-simulation experimental platforms and real-time performance monitoring tools, whilst keeping the implementation cost at low levels. The gas turbine used in this experiment is an AMT Netherlands Olympus micro gas turbine and a spiral model approach was applied for the software. The whole process was driven by risk mitigation. The outcome is a fully functional software application that enables remote operation of the micro gas turbine whilst constantly monitors the performance of the engine according to basic gas turbine control theory. The application is very flexible, as it runs with no local installation requirements and includes provisions for expansion and collaboration with other online performance simulation and diagnostic tools. This paper will be presented at the ISABE 2017 Conference, 5-8 September 2017, Manchester, UK

Multivariate analysis for assessing genetic diversity in different genotypes of okra (Abelmoschus esculentus L. Moench) for varietal improvement

Accurate assessment of genetic diversity facilitates the strategic identification of superior genotypes, enabling the development of high-yielding, climate-resilient cultivars and promoting effective crop improvement strategies. The present study was carried out with 48 different genotypes of Okra (Abelmoschus esculentus (L.) Moench) during (Jan-April 2022) to investigate their genetic diversity. The analysis of genetic divergence using D2 statistics revealed substantial variation among genotypes for the twelve traits studied. The 48 genotypes were grouped into nine clusters, with cluster IV having the highest representation of 24 genotypes, followed by cluster II with 12 genotypes, cluster I with 4 genotypes, cluster III with 3 genotypes, and the remaining clusters with one genotype each. The intra and inter-cluster D2 values ranged from 0 to 95.29 and 103.00 to 588.71, respectively. The highest intra-cluster distance was observed in Cluster III (95.29), and highest inter-cluster distance was observed between cluster V and IX (588.71). This range clearly demonstrated that the inter-cluster distance was greater than the intra-cluster distance indicating wide diversity across the groups. Cluster VII showed a high mean for traits plant height (112.53), peduncle length (3.14), fruit length (20.03), and number of locules (7.87). Cluster V showed the highest mean for the number of fruits (39.33) and yield per plant (1.18). The analysis of all characters' relative contributions showed that the number of fruits per plant and the number of locules per fruit contributed most to genetic divergence. High heterotic effects and desired transgressive segregants are anticipated when different genotypes from clusters with the greatest inter-cluster distance are used for hybridization

A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images

This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective projection of planar structures. Data are provided by calibrated aerial images. The novelty of the approach lies in its featurelessness and in its use of direct optimization based on image rawbrightness. The proposed framework avoids feature extraction and matching. The 3D polyhedral model is directly estimated by optimizing an objective function that combines an image-based dissimilarity measure and a gradient score over several aerial images. The optimization process is carried out by the Differential Evolution algorithm. The proposed approach is intended to provide more accurate 3D reconstruction than feature-based approaches. Fast 3D model rectification and updating can take advantage of the proposed method. Several results and evaluations of performance from real and synthetic images show the feasibility and robustness of the proposed approach

Quantitative estimation and evaluation of anti-inflammatory activity of macromolecules of Boswellia serrata

The present study was aimed to isolate and perform qualitative analysis of macromolecules present in Boswellia serrata followed by evaluation of their anti-inflammatory activity by in-vitro IL-6 ELISA study. The oleo gum resin of B. serrata was pretreated with hexane, methanol and the obtained residue was extracted with water and the final dried powder was taken for macromolecule analysis. The macromolecules which comprise of polysaccharides, mucilages and proteins were quantitatively estimated and evaluated for their anti-inflammatory activity by in-vitro IL-6 ELISA study. From the current study, it was found that the macromolecules present in B. serrata majorly comprise of polysaccharides and mucilages with moderate quantity of proteins. The quantitative analysis of polysaccharides, mucilages and proteins were found 35.91%, 34% and 14.29%. From the in-vitro IL-6 ELISA study, it was found that the macromolecules showed 82.63% inhibition of IL-6. The identified macromolecules from B. serrata showed significant anti-inflammatory activity by inhibition of IL- 6 and further need to confirm by in vivo study to qualify B. serrata macromolecules as a promising anti-inflammatory agent

Quantitative estimation and evaluation of anti-inflammatory activity of macromolecules of Boswellia serrata

940-943The present study was aimed to isolate and perform qualitative analysis of macromolecules present in Boswellia serrata followed by evaluation of their anti-inflammatory activity by in-vitro IL-6 ELISA study. The oleo gum resin of B. serrata was pretreated with hexane, methanol and the obtained residue was extracted with water and the final dried powder was taken for macromolecule analysis. The macromolecules which comprise of polysaccharides, mucilages and proteins were quantitatively estimated and evaluated for their anti-inflammatory activity by in-vitro IL-6 ELISA study. From the current study, it was found that the macromolecules present in B. serrata majorly comprise of polysaccharides and mucilages with moderate quantity of proteins. The quantitative analysis of polysaccharides, mucilages and proteins were found 35.91%, 34% and 14.29%. From the in-vitro IL-6 ELISA study, it was found that the macromolecules showed 82.63% inhibition of IL-6. The identified macromolecules from B. serrata showed significant anti-inflammatory activity by inhibition of IL- 6 and further need to confirm by in vivo study to qualify B. serrata macromolecules as a promising anti-inflammatory agent

Plasma chemokines CXCL10 and CXCL9 as potential diagnostic markers of drug-sensitive and drug-resistant tuberculosis

Tuberculosis (TB) diagnosis still remains to be a challenge with the currently used immune based diagnostic methods particularly Interferon Gamma Release Assay due to the sensitivity issues and their inability in differentiating stages of TB infection. Immune markers are valuable sources for understanding disease biology and are easily accessible. Chemokines, the stimulant, and the shaper of host immune responses are the vital hub for disease mediated dysregulation and their varied levels in TB disease are considered as an important marker to define the disease status. Hence, we wanted to examine the levels of chemokines among the individuals with drug-resistant, drug-sensitive, and latent TB compared to healthy individuals. Our results demonstrated that the differential levels of chemokines between the study groups and revealed that CXCL10 and CXCL9 as potential markers of drug-resistant and drug-sensitive TB with better stage discriminating abilities

Differential Frequencies of Intermediate Monocyte Subsets Among Individuals Infected With Drug-Sensitive or Drug-Resistant Mycobacterium tuberculosis

The rampant increase in drug-resistant tuberculosis (TB) remains a major challenge not only for treatment management but also for diagnosis, as well as drug design and development. Drug-resistant mycobacteria affect the quality of life owing to the delayed diagnosis and require prolonged treatment with multiple and toxic drugs. The phenotypic modulations defining the immune status of an individual during tuberculosis are well established. The present study aims to explore the phenotypic changes of monocytes & dendritic cells (DC) as well as their subsets across the TB disease spectrum, from latency to drug-sensitive TB (DS-TB) and drug-resistant TB (DR-TB) using traditional immunophenotypic analysis and by uniform manifold approximation and projection (UMAP) analysis. Our results demonstrate changes in frequencies of monocytes (classical, CD14(++)CD16(-), intermediate, CD14(++)CD16(+) and non-classical, CD14(+/-)CD16(++)) and dendritic cells (DC) (HLA-DR(+)CD11c(+) myeloid DCs, cross-presenting HLA-DR(+)CD14(-)CD141(+) myeloid DCs and HLA-DR(+)CD14(-)CD16(-)CD11c(-)CD123(+) plasmacytoid DCs) together with elevated Monocyte to Lymphocyte ratios (MLR)/Neutrophil to Lymphocyte ratios (NLR) and alteration of cytokine levels between DS-TB and DR-TB groups. UMAP analysis revealed significant differential expression of CD14(+), CD16(+), CD86(+) and CD64(+) on monocytes and CD123(+) on DCs by the DR-TB group. Thus, our study reveals differential monocyte and DC subset frequencies among the various TB disease groups towards modulating the immune responses and will be helpful to understand the pathogenicity driven by Mycobacterium tuberculosis

Hypoglycaemic and Hypolipidaemic Effects of Withania somnifera Root and Leaf Extracts on Alloxan-Induced Diabetic Rats

Withania somnifera is an important medicinal plant, which is used in traditional medicine to cure many diseases. Flavonoids were determined in the extracts of W. somnifera root (WSREt) and leaf (WSLEt). The amounts of total flavonoids found in WSREt and WSLEt were 530 and 520 mg/100 g dry weight (DW), respectively. Hypoglycaemic and hypolipidaemic effects of WSREt and WSLEt were also investigated in alloxan-induced diabetic rats. WSREt and WSLEt and the standard drug glibenclamide were orally administered daily to diabetic rats for eight weeks. After the treatment period, urine sugar, blood glucose, haemoglobin (Hb), glycosylated haemoglobin (HbA1C), liver glycogen, serum and tissues lipids, serum and tissues proteins, liver glucose-6-phosphatase (G6P) and serum enzymes like aspartate transaminase (AST), alanine transaminase (ALT), acid phosphatase (ACP) and alkaline phosphatase (ALP) levels were determined. The levels of urine sugar, blood glucose, HbA1C, G6P, AST, ALT, ACP, ALP, serum lipids except high density lipoprotein-bound cholesterol (HDL-c) and tissues like liver, kidney and heart lipids were significantly (p < 0.05) increased, however Hb, total protein, albumin, albumin:globulin (A:G) ratio, tissues protein and glycogen were significantly (p < 0.05) decreased in alloxan-induced diabetic rats. Treatment of the diabetic rats with WSREt, WSLEt and glibenclamide restored the changes of the above parameters to their normal level after eight weeks of treatment, indicating that WSREt and WSLEt possess hypoglycaemic and hypolipidaemic activities in alloxan-induced diabetes mellitus (DM) rats

A multi-targeted approach to suppress tumor-promoting inflammation

Cancers harbor significant genetic heterogeneity and patterns of relapse following many therapies are due to evolved resistance to treatment. While efforts have been made to combine targeted therapies, significant levels of toxicity have stymied efforts to effectively treat cancer with multi-drug combinations using currently approved therapeutics. We discuss the relationship between tumor-promoting inflammation and cancer as part of a larger effort to develop a broad-spectrum therapeutic approach aimed at a wide range of targets to address this heterogeneity. Specifically, macrophage migration inhibitory factor, cyclooxygenase-2, transcription factor nuclear factor-κB, tumor necrosis factor alpha, inducible nitric oxide synthase, protein kinase B, and CXC chemokines are reviewed as important antiinflammatory targets while curcumin, resveratrol, epigallocatechin gallate, genistein, lycopene, and anthocyanins are reviewed as low-cost, low toxicity means by which these targets might all be reached simultaneously. Future translational work will need to assess the resulting synergies of rationally designed antiinflammatory mixtures (employing low-toxicity constituents), and then combine this with similar approaches targeting the most important pathways across the range of cancer hallmark phenotypes