Gandhi Institute of Technology and Management Hyderabad Campus (GITAM Hyderabad Campus) is a private institute located in Hyderabad, Telangana, India. It is one of three campuses of Gandhi Institute of Technology and Management. The campus admitted its first batch of students in 2009.It has been accredited by NAAC with ‘A+’ grade and AICTE approved. ICRA, a rating agency, gives a national grade of "ICRA EB3 IN" and a state grade of " ICRA EB3+ AP" to the MBA program of Hyderabad Business School.
Real-time hydrogen detection under ambient and portable conditions is often hindered by the inherent trade-off between strong adsorption for sensitivity and weak interaction for rapid reversibility in porous semiconductor materials. In this work, a redox-active anthraquinone-based covalent-organic framework (DAAQ-COF) interfaced with conductive Ti3C2 MXene enables enhanced interfacial charge transfer, simultaneously modulating hydrogen adsorption across the large accessible surface area. The optimized DAAQ@Ti3C2-50 flexible sensor detects hydrogen (1 ppm) at room temperature, exhibiting response (T-res) and recovery times (T-rec) of 29 and 18 s, respectively, with similar to 99.9% signal reversibility. Stable sensing behavior is preserved under high bending deformation (97.45 degrees; 85/87 s; 99.9%) and at 150 degrees C (74/88 s; 99.5% recovery), indicating structural integrity and sustained electronic interactions under mechanical and thermal stress. Density functional theory calculations reveal weak H-2 physisorption on pristine DAAQ-COF (-0.051 eV) and strong chemisorption on Ti3C2 (-1.91 eV), whereas the heterointerface promotes optimized hydrogen adsorption accompanied by charge redistribution. These results establish interfacial-modulation adsorption as a viable route toward high-sensitivity yet fully reversible hydrogen sensing platforms
The study investigates the factors affecting sustainable urban transport adoption among in the context of smart cities and ‘Sustainable Development Goal 11 (SDG 11)’. While the concept of sustainable transport is attracting attention, previous studies have mainly adopted linear analysis methods, which fail to explain various aspects of transport behavior. In response, this research employs a multi-pronged approach using a combination of ‘Structural Equation Modelling (SEM)’, ‘Artificial Neural Networks (ANN)’ and ‘fuzzy-set Qualitative Comparative Analysis (fsQCA)’. The study surveyed 433 Generation Z participants with a questionnaire. SEM findings highlight the importance of ‘perceived sustainability’, ‘perceived behavioural control and social influence’ in predicting adoption intention, which in turn has a strong association with use intention, with no significant direct effects observed for attitude and environmental awareness. ANN findings, by accounting for the effects of non-linearity, further improve the predictive powers by considering environmental awareness as the strongest predictor and perceived sustainability as the second strongest. The fsQCA results also show that there are multiple configurations that result in high intention, confirming equifinality and suggesting that no single factor is sufficient to explain intention. All methods show perceived sustainability and perceived behavioral control to be critical factors in predicting, while attitude is shown to be weak and dependent on other factors. This research advances knowledge by providing a holistic view of sustainable transport adoption by combining explanatory, predictive and configurational analyses. The current research provides theoretical contributions and policy suggestions to encourage Gen Z to use sustainable transport in smart cities.
A series of 3-indolylbenzoxazin-2-one derivatives were assessed as new inhibitors of PDE4B. Their sonochemical synthesis was carried out by using Wang-OSO3H as an effective catalyst. The reaction proceeded via CC bond forming reaction between 1,4-benzoxazinone and indole in a regioselective manner to afford the desired products in good to acceptable yields. The in silico docking studies indicated promising interactions of these compounds with PDE4B in addition to their probable selectivity towards PDE4B over PDE4D. Majority of these compounds not only interacted with the same region like rolipram but also participated in H-bond with GLN443 of PDE4B. The higher binding affinity was shown by the compound 3a-d with the order 3d > 3b > 3c > 3a. Correlating the in silico observations, these compounds exhibited promising inhibition of PDE4B in vitro with IC50 range similar to 0.8-5.1 & micro;M when 3d emerged as the best active molecule. Unlike rolipram, the compound 3d showed nearly 7-fold selectivity towards PDE4B over PDE4D. The SAR analysis suggested that favorable PDE4B inhibitory activities were noted when a p-substituted aryl group (i.e. C6H4X-p) was attached to the indole nitrogen. Based on outcome of the in silico and in vitro studies along with ADME predictions, the compound 3d was identified as the most promising preliminary hit molecule.
Background Constitutively activated neutrophil extracellular traps (NETs) have been implicated in the impeded response to infections in Type 2 Diabetes (T2D). However, immuno-metabolic factors contributing to functional plasticity of neutrophils in T2D associated infections are not known. Methods Using both human and mice model of sepsis with either diabetic or non-diabetic background, we investigated functionally confined neutrophil subpopulations either executing phagocytosis or NETosis. An integrated analysis of cytokines regulating granulopoiesis, RNAseq of NETs forming neutrophils and metabolomics was performed. Mitochondrial function was assessed via measuring mitochondrial membrane potential, cellular oxygen consumption rate and mitophagy. Results We identified neutrophil subpopulations either executing phagocytosis or NETosis. Proportions of these functionally restricted neutrophils are significantly altered in T2D and fail to elicit an immune response upon induction of sepsis. Integrated analysis involving cytokines, transcriptome and metabolome data revealed perturbed immunometabolic axis in T2D models majorly effecting mitochondrial metabolism. Molecular dynamic simulations indicate deformed lipid densities and disrupted inner mitochondrial membrane. T2D neutrophils showed decrease in mitochondrial membrane potential, cellular oxygen consumption rate and mitophagy. Arachidonic acid supplementation activated mitochondrial ROS and restored NETs formation in T2D upon sepsis. Conclusions In mouse models, along with preliminary findings in human subjects, our study provides novel and correlative insights into the relationship between metabolic changes and neutrophil dysfunction in T2D-associated sepsis, exploring immuno-metabolism as a therapeutic target to improve neutrophil function.
A simple, unified and scalable strategy, emanating from the readily available chiral pool D-solketal, has been employed to obtain the enantiomerically pure components of hydrogenated soy L-alpha-phosphatidylcholine (HSPC), namely distearoyl phosphatidylcholine (DSPC) and 1-palmitoyl-2-stearoyl-phosphatidylcholine (PSPC). HSPC is obtained by hydrogenating naturally occurring soy L-alpha-lecithin; this affords a glycerophospholipid mixture containing C-16 (minor) or C-18 (major) fatty acid chain at sn-1, C-18 chain at sn-2 position and phosphatidylcholine at sn-3 position. HSPC already has numerous applications as an excipient and essential component in many FDA approved liposomal drug formulations such as Doxil (R) (doxorubicin HCl liposome injection) and AmBisome (R) (amphotericin B liposome injection). However, there is increasing interest in uncovering the potential individual applications of its components, DSPC and PSPC, too. In this context, the current synthesis offers a strategy to have a ready bespoke access to multi-gram quantities of DSPC and PSPC (in particular) that does not rely on tedious separation of the components of HSPC.
