Publications by authors named "K K Debnath"

Background and objectives The persistent nature of diabetic foot ulcers (DFUs) is mainly attributable to compromised wound healing mechanisms, which are aggravated due to poor blood flow, neuropathy, and infection. Growth factors have become essential agents in the treatment of DFUs, serving as primary mediators that enhance wound healing through the stimulation of cell proliferation, migration, and angiogenesis. This prospective open-label, randomised, comparative, multi-centre, investigator-initiated study compared the safety and effectiveness of adjuvant therapy with topical application of autologous growth factor concentrate (AGFC) using the Healrex therapy kit (Wockhardt, India) versus standard of care (SoC) in DFUs.

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The process of micromachining has garnered attention for its ability to create three-dimensional tiny features, particularly in ultra-hard and exotic materials. The present work investigates the effect of different parameters of the µ-ED milling, such as pulse on time (Ton), pulse off time (Toff), voltage (V), and tool rotation (TR) on the dimensional deviation (DD), material removal rate (MRR), surface roughness (Ra), and machined surface characteristics (analysed by EDS and FESEM). The sesame oil as dielectric and tungsten-copper as tool electrodes were used to maintain the accuracy and improve the machinability of bio-grade Nitinol SMA.

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The aim of this study was to compare the mechanical properties of carbon-fiber-reinforced polymer (CFRP) composites produced using three popular technologies. The tests were performed on composites produced from prepregs in an autoclave, the next variant is composites produced using the infusion method, and the third variant concerns composites produced using the vacuum-assisted hand lay-up method. For each variant, flat plates with dimensions of 1000 mm × 1000 mm were produced while maintaining similar material properties and fabric arrangement configuration.

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The present review aimed to elucidate the roles of extracellular matrix (ECM) components in the progression of vulvar squamous cell carcinoma (VSCC) and explore potential therapeutic avenues for this type of malignancy. This exploration holds promise for identifying precise molecular targets within the ECM milieu, thus facilitating the development of innovative therapeutic modalities tailored to disrupt these interactions and ultimately improve patient outcomes in VSCC. The dysregulated ECM serves as a potent driver of SCC tumor progression, orchestrating key processes such as angiogenesis, inflammation and stromal cell behavior.

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To analyze the quality of artificial intelligence (AI) and machine learning (ML) tools developed for facial aesthetic surgery. Medline, Embase, CINAHL, Central, Scopus, and Web of Science databases were searched in February 2024. All original research in adults undergoing facial aesthetic surgery was included.

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