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Research and Innovation:
Grants

results 25-36 of 557

Copper Cathode Quality Improvement And Reduction In Bleed To ETP

15/01/2024
Improving copper cathode quality and minimizing bleed to electrolytic tough pitch (ETP) involves refining processes that enhance purity through advanced electrolysis techniques and precise control of electrolyte conditions. Optimization of electrolyte composition, temperature, and current densities is crucial for minimizing impurities and ensuring high-quality cathode production. Implementing rigorous quality control...

In Vitro And In Vivo Evaluation Of The Functionally-Characterized Broad Spectrum Antifungal Cyclic Lipopetides Homologous Of The Bacillomycin D Family And Their Synthetic Analogs Against Medically Important Mucorales

12/02/2024
In vitro and in vivo evaluation of functionally-characterized broad-spectrum antifungal cyclic lipopeptides, homologous to the bacillomycin D family and their synthetic analogs, assess their efficacy against medically significant Mucorales fungi. These studies aim to validate their antifungal activity through laboratory testing and animal models. By analyzing their potency, spectrum of...

Screening The Role Of Shellfish As Conduit In The Transmission Of Antimicrobial Resistance From The Environment Into Human

12/02/2024
Screening the role of shellfish as conduits in the transmission of antimicrobial resistance (AMR) from the environment to humans involves assessing bacterial pathogens and resistance genes present in shellfish. Shellfish, due to their filter-feeding nature, can accumulate bacteria and resistance genes from contaminated waters. Research focuses on identifying and quantifying...

Development Of Biocompatible Nanotechnology Based Non-Viral Delivery Vehicle For Micro Dystrophin Gene Delivery As Therapeutics For Duchenne Muscular Dystrophy

22/02/2024
The development of biocompatible nanotechnology-based non-viral delivery vehicles for micro-dystrophin gene delivery aims to treat Duchenne muscular dystrophy (DMD). These vehicles utilize nanoparticles engineered with biocompatible materials to safely transport micro-dystrophin genes into muscle cells. By evading immune responses and enhancing cellular uptake, they facilitate gene expression, promoting muscle fiber...

An End-to-End Data storage framwork for heterogeneous Compute Devices (DaSH)

24/01/2024
An End-to-End Data Storage Framework for Heterogeneous Compute Devices (DaSH) facilitates seamless data management across diverse computing platforms. DaSH integrates data storage protocols and optimization strategies tailored to heterogeneous environments, ensuring compatibility and efficiency. It supports distributed computing architectures, leveraging cloud storage and edge computing resources for scalability and performance....

Pathophysiological Investigations Of Sickle Cell Disease And Interventions To Improve Associated Hemorheological Abnormalities

23/01/2024
Pathophysiological investigations of sickle cell disease focus on understanding its mechanisms, including hemoglobin polymerization, erythrocyte sickling, and vascular occlusion, leading to vaso-occlusive crises. Interventions aim to mitigate these abnormalities by promoting fetal hemoglobin production with therapies like hydroxyurea, enhancing oxygen delivery through transfusions, and exploring emerging gene therapies for a...

Understanding the Role of Quantum Dotsas Tool for Tumour Imaging and as a Drug Carrier through in-vitro and in-silico Approach

12/01/2024
Quantum dots (QDs) play a dual role in tumor imaging and drug delivery, explored through in vitro and in silico methodologies. In vitro, QDs labeled with targeting ligands allow precise tumor cell imaging via fluorescence or photoacoustic techniques, enhancing diagnostic accuracy. Additionally, QDs' tunable properties aid drug delivery; their size...

Development Of FPGA- Based Communication Transceiver For Aerial Vehicles

20/01/2024
The development of an FPGA-based communication transceiver for aerial vehicles involves designing a compact, robust hardware platform capable of integrating diverse communication protocols like WiFi, LTE, or custom RF standards. FPGA technology enables efficient signal processing, modulation/demodulation, and adaptive filtering for reliable data transmission in dynamic airborne environments. Emphasizing low...

Modeling and CFD Simulation of a Batch Reactor with Heating and Cooling Limpet Coils used for the Production of Resins

12/01/2024
Modeling and CFD simulation of a batch reactor with heating and cooling limpet coils for resin production involves accurately modeling fluid dynamics, heat transfer, and chemical reactions. The reactor's geometry, including coils and baffles, is simulated to optimize temperature control and mixing efficiency. Navier-Stokes equations govern fluid flow, considering turbulent...

Robust and Optimal Decentralized Control Algorithms for Complex Distillery Systems

29/11/2023
Robust decentralized control algorithms for complex distillery systems optimize performance through hierarchical structures where subsystems manage local operations independently yet coordinate effectively. These algorithms integrate distributed optimization techniques like decentralized MPC, ensuring efficient regulation of processes such as fermentation and distillation. They also incorporate fault tolerance mechanisms and real-time data...

Development Of A Biomolecule Detection System With On-Chip Planar Hall Magnetometer For Diagnostic Uses

04/09/2023
The development of a biomolecule detection system with an on-chip planar Hall magnetometer (PHM) offers a sensitive and miniaturized platform for diagnostic applications. PHMs, integrated on a microfluidic chip, detect biomolecules such as proteins, DNA, or viruses through their magnetic signatures. Functionalized magnetic nanoparticles or magnetic labels bind to target...

Applications of Supervised Machine learning Algorithms to Analyze the Drivers of Early stage Entrepreneurial Activities in India: The Role of Socio- cognitive Traits and Institutional Environments

23/11/2023
Applying supervised machine learning algorithms to analyze the drivers of early-stage entrepreneurial activities in India provides valuable insights into socio-cognitive traits and institutional environments influencing entrepreneurship. Algorithms such as logistic regression, decision trees, and random forests can identify key predictors like education levels, risk perception, social networks, and regulatory frameworks...