270 research outputs found
Banerjee_QSurvey_RawDataSet_PPC
No full textRaw dataset for questionnaire survey study (kinesiology taping_cancer care continuum)Author: Gourav Banerjee et alJournal: Progress in Palliative Care</div
Karanjin, A Promising Bioactive Compound Possessing Anti-cancer Activity against Experimental Model of Non-small Cell Lung Cancer Cells
No full textAims: The aim of this study is to isolate the Millettia pinnata (Karanj) leaf extract for pure compound with anticancer properties and to study the molecular target of the isolates in non-small cell lung cancer cell lines. Background: In our earlier research Millettia pinnata leaf extract has demonstrated potential anticancer activities. Thus, in pursuit of the bioactive compounds, the most potential active extract from our previous study was purified. Furthermore, the anticancer properties of the isolated compound karanjin was studied and aimed for apopto-sis and restraining growth. Methods: A novel method was developed through column chromatography for isolation and purification of the compound karanjin from leaf chloroform extract. The purified component was then characterised using FTIR, mass spectrometry, and NMR. An MTT-based cytotoxicity assay was used to analyse cell cytotoxicity, whereas fluorescence staining was used for apoptosis and reactive oxygen species inhibition quantification. Furthermore, the real-time PCR assay was used to determine the molecular mechanism of action in cells causing cytotoxicity induced by karanjin dosing. Results: The anticancer activity of karanjin in A549 cell line exhibited prominent activity revealing IC50 value of 4.85 μM. Conferring the predicted molecular pathway study, karanjin restrains the proliferation of cancer cells through apoptosis, which is controlled by extrinsic pathway proteins FAS/FADD/Caspases 8/3/9. Down-regulation of KRAS and dependent gene expression also stopped cell proliferation. Conclusion: Karanjin has been identified as a compound with potential effect in non-small cell lung cancer cells. Molecular mechanism for apoptosis and inhibition of reactive oxygen species induced through H2O2 were observed, concluding karanjin have medicinal and antioxidant properties
Deciphering the Potential of Pre and Pro-Vitamin D of Mushrooms against Mpro and PLpro Proteases of COVID-19: An In Silico Approach
No full textVitamin D’s role in combating the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), the virus causing COVID-19, has been established in unveiling viable inhibitors of COVID-19. The current study investigated the role of pre and pro-vitamin D bioactives from edible mushrooms against Mpro and PLpro proteases of SARS-CoV-2 by computational experiments. The bioactives of mushrooms, specifically ergosterol (provitamin D2), 7-dehydrocholesterol (provitamin-D3), 22,23-dihydroergocalciferol (provitamin-D4), cholecalciferol (vitamin-D3), and ergocalciferol (vitamin D2) were screened against Mpro and PLpro. Molecular docking analyses of the generated bioactive protease complexes unravelled the differential docking energies, which ranged from −7.5 kcal/mol to −4.5 kcal/mol. Ergosterol exhibited the lowest binding energy (−7.5 kcal/mol) against Mpro and PLpro (−5.9 kcal/mol). The Molecular Mechanics Poisson–Boltzmann Surface Area (MMPBSA) and MD simulation analyses indicated that the generated complexes were stable, thus affirming the putative binding of the bioactives to viral proteases. Considering the pivotal role of vitamin D bioactives, their direct interactions against SARS-CoV-2 proteases highlight the promising role of bioactives present in mushrooms as potent nutraceuticals against COVID-19
Outage Management System for Power Distribution Network
No full textOutage detection is the first and foremost step in the electric power distribution Outage Management System (OMS). Unplanned outage detection is very important for improving the distribution system reliability and accessibility. Traditionally, customers' trouble calls are the primary source of outage notification. However, customers report only one third of outages in the first hour of outages. The advanced metering infrastructure (AMI) can send outage notifications almost instantly to the utility and could also give restoration notification when power is restored. AMI data may be corrupted due to communication channel noise and there may also be unnecessary outage notifications due to the temporary outages. In this thesis, an algorithm is proposed to filter out the meter notifications due to corrupted data and temporary outages of duration less than one minute. An AMI data filter is modelled by probabilistic and fuzzy membership functions to remove the corrupted data. Integration of distribution supervisory control and data acquisition system (SCADA) with AMI for outage location finding is also proposed by fuzzy membership function based model. Proposed models have been tested on a radial distribution test feeder and results are analyzed
The Characteristics of Glued Tensile Shear Strength Constituted of Wood Cut by CO2 Laser
No full textThe performance of engineered wood products is highly associated with proper bonding and an efficient cutting method. This paper investigates the influence of CO2 laser cutting on the wetting properties, the modified chemical component of the laser-cut surface, and the strength and adhesive penetration near the bondline. Beechwood is cut by the laser with varying processing parameters, cutting speeds, gas pressures, and focal point positions. The laser-cut samples were divided into two groups, sanded and non-sanded samples. Polyvinyl acetate adhesive (PVAc) was used to bond the groups of laser-cut samples. After assembly with cold pressing, the tensile shear test was carried out. Numerical modelling was carried out to determine the partial elongation and shear strain of the glue line. Based on this, the shear modulus and linear elasticity of the glue line were estimated. Scanning electron microscopy was used to assess the adhesive penetration into the porosity structure of the laser-cut samples, and the depth of the heat-affected zone. The laser-cut surface was analysed by Fourier transform infrared spectroscopy. The wetting properties of the laser-cut surface were investigated by using a contact angle goniometer. The numerical model of the strain-stress curve confirmed the experimental model. The highest modulus of the linear elasticity of the glue in the numerical calculation belongs to the joint containing laser-cut samples at a gas pressure of 21 (bar). The penetration depth of PVAc adhesive into the porosity structure of the laser-cut samples was similar to that of sawn samples. The deepest heat-affected zone in the laser-cut samples was 150 μm. A PVAc drop disappeared immediately on the laser-cut surface without sanding, but gradually on the sanded surface. In contrast, the drop on the sawn surface remained with an angle of 32°–48°. The degradation of hemicellulose and lignin was proven by the lower intensity of the C=O and C-O Bonds, compared to the sawn surface
Outage management system for power distribution network
No full textOutage detection is the first and foremost step in the electric power distribution outage management system (OMS). Unplanned outage detection is very important for improving the distribution system reliability and accessibility. Traditionally, customers' trouble calls are the primary source of outage notification. However, customers report only one third of outages in the first hour of outages. The advanced metering infrastructure (AMI) could send outage notifications almost instantly to the utility and could also give restoration notification when power is restored. AMI data may be corrupted due to communication channel noise and there may also be unnecessary outage notifications due to the temporary outages. In this paper, an algorithm is proposed to filter out the meter notifications due to corrupted data and temporary outages of duration less than one minute. An AMI data filter is modelled by probabilistic and fuzzy membership functions to remove the corrupted data. Integration of distribution supervisory control and data acquisition (SCADA) system with AMI for outage location finding is also proposed by fuzzy membership function based model. Proposed models have been tested on a radial distribution test feeder and results are analysed
Design and FPGA-implementation of PID regulator for DC motor speed control
No full textWith gradual development in technology various sorts of Control systems has come into picture and it has become an integrated part of the society. It plays a major role in our day-2-day life. A Control system is a device that can be used to control, regulate, command and manage other devices.
This thesis looks at how to build a FPGA BASED PID CONTROLLER for DC MOTOR SPEED CONTROL. The field programmable gate array (FPGA) is a semiconductor device that can be programmed after manufacturing. It doesn’t restrict itself to a particular hardware rather allows the user to program product features and functions, adapt to new standards. FPGAs is used for controlling processes where high loop cycle time is required. FPGAs provide high speed operation which makes it more efficient for controller design rather than other DSP chips.
A proportional-integral-derivative (PID Controller) is generic control loop feedback mechanism widely used in industrial control systems. The controller attempts to minimize the error by adjusting the control inputs. The controller can provide control action designed for specific process requirements. The whole thesis focus on implementation of FPGA based PID controller for DC Motor control
The development of fully automated RULA assessment system based on Computer Vision
No full textThe purpose of this study was to develop an automated, RULA-based posture assessment system using a deep learning algorithm to estimate RULA scores, including scores for wrist posture, based on images of workplace postures. The proposed posture estimation system reported a mean absolute error (MAE) of 2.86 on the validation dataset obtained by randomly splitting 20% of the original training dataset before data augmentation. The results of the proposed system were compared with those of two experts’ manual evaluation by computing the Intraclass correlation coefficient (ICC), which yielded index values greater than 0.75, thereby confirming good agreement between manual raters and the proposed system. This system will reduce the time required for postural evaluation while producing highly reliable RULA scores that are consistent with those generated by manual approach. Thus, we expect that this study will aid ergonomic experts in conducting RULA-based surveys of occupational postures in workplace conditions
Potentiology: A Cognitive Energy Framework
No full textPotentiology is a theoretical cognitive framework that models perception as a structured system of domains, directions, and energy capacities. The framework defines four fundamental perceptual domains: Experience, Abstraction, Logic, and Morality each of which can operate in either a subjective or objective orientation, yielding eight distinct cognitive functions. Unlike trait-based or behaviour-focused typologies, Potentiology describes cognition in terms of perceptual reference, evaluative priority, and dynamic energy allocation.
A central contribution of the framework is an energy-based positioning model in which each cognitive function has finite capacity, depletes with use, and recovers asymmetrically over time. The ego is modelled as defaulting to the function with the highest available energy at a given moment, while conscious choice may override this tendency at a cost. This allows the framework to account for phenomena such as burnout, functional substitution under stress, and persistent dissatisfaction without invoking pathology.
Potentiology is intended as an explanatory and analytical construct rather than a diagnostic or predictive tool. It is presented as a self-contained system with internally defined terminology and mechanics, while remaining conceptually comparable to Jungian and related typological traditions. The framework aims to provide a formal language for discussing perceptual bias, evaluative conflict, and environment-cognition fit in theoretical and interdisciplinary contexts
- …
