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Pranab Das,Dilwar Hussain Mazumder 한국전자통신연구원 2024 ETRI Journal Vol.46 No.2
To treat the novel COronaVIrus Disease (COVID), comparatively fewer medicines have been approved. Due to the global pandemic status of COVID, several medicines are being developed to treat patients. The modern COVID medicines development process has various challenges, including predicting and detecting hazardous COVID medicine responses. Moreover, correctly pre-dicting harmful COVID medicine reactions is essential for health safety. Significant developments in computational models in medicine development can make it possible to identify adverse COVID medicine reactions. Since the beginning of the COVID pandemic, there has been significant demand for developing COVID medicines. Therefore, this paper presents the transfer-learning methodology and a multilabel convolutional neural network for COVID (MLCNN-COV) medicines development model to identify negative responses of COVID medicines. For analysis, a framework is proposed with five multilabel transfer-learning models, namely, MobileNetv2, ResNet50, VGG19, DenseNet201, and Inceptionv3, and an MLCNN-COV model is designed with an image augmentation (IA) technique and validated through experiments on the image of three-dimensional chemical conformer of 17 number of COVID medicines. The RGB color channel is utilized to represent the feature of the image, and image features are extracted by employing the Convolution2D and MaxPooling2D layer. The findings of the current MLCNN-COV are promising, and it can identify individual adverse reactions of medicines, with the accuracy ranging from 88.24% to 100%, which outper-formed the transfer-learning model’s performance. It shows that three-dimensional conformers adequately identify negative COVID medicine responses.
Separation of oil from oily wastewater using low cost ceramic membrane
Bipul Das,Bandana Chakrabarty,Pranab Barkakati 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.10
Safe disposal of oily wastewater is a global issue across the industrial world. Stable oil-in-water emulsion has been separated by dead end filtration using low cost ceramic membrane. The efficiency of separation at different oilwater emulsion concentrations was evaluated at different trans-membrane pressures. Maximum rejection of oil 95.4% was observed for membrane sintered at 850 oC for oil concentration of 250mg/L at 137.89 kPa. The permeate oil concentration was within the permissible range of environmental tolerance (<12mg/L). The flux decline data was compared with various pore blocking models and it was appraised that cake filtration model best represents the fouling mechanism within the experimental range of pressure and oil-in-water concentration. Solvent permeation studies revealed that nonpolar solvents were more permeable than the polar solvents. The selection parameter of 14.78×10−6m3/ m2·s indicates a good combination of flux permeation, declination and rejection for the membrane sintered at 900 oC.
ITERATED ENTIRE FUNCTIONS AND THEIR GROWTH PROPERTIES ON THE BASIS OF (p, q)-TH ORDER
( Tanmay Biswas ),( Junesang Choi ),( Pranab Das ),( Sanjib Kumar Datta ) 호남수학회 2016 호남수학학술지 Vol.38 No.1
Entire functions have been investigated so popularly to have been divided into a large number of specialized subjects. Even the limited subject of entire functions is too vast to be dealt with in a single volume with any approach to completeness. Here, in this paper, we choose to investigate certain interesting results associated with the comparative growth properties of iterated entire functions using (p, q)-th order and (p, q) -th lower order, in a rather comprehensive and systematic manner.
ITERATED ENTIRE FUNCTIONS AND THEIR GROWTH PROPERTIES ON THE BASIS OF (p, q)-TH ORDER
Biswas, Tanmay,Choi, Junesang,Das, Pranab,Datta, Sanjib Kumar The Honam Mathematical Society 2016 호남수학학술지 Vol.38 No.1
Entire functions have been investigated so popularly to have been divided into a large number of specialized subjects. Even the limited subject of entire functions is too vast to be dealt with in a single volume with any approach to completeness. Here, in this paper, we choose to investigate certain interesting results associated with the comparative growth properties of iterated entire functions using (p, q)-th order and (p, q)-th lower order, in a rather comprehensive and systematic manner.
Compositional Correlations in Canine Genome Reflects Similarity with Human Genes
Joy, Faustin,Basak, Surajit,Gupta, Sanjib Kumar,Das, Pranab Jyoti,Ghosh, Shankar Kumar,Ghosh, Tapash Chandra Korean Society for Biochemistry and Molecular Biol 2006 Journal of biochemistry and molecular biology Vol.39 No.3
The base compositional correlations that hold among various coding and noncoding regions of the canine genome have been analysed. The distribution pattern of genes, on the basis of $GC_3$ composition, shows a wide range similar to that observed in human. However the occurrence of maximum number of genes was observed in the range of 65-75% of $GC_3$ composition. The correlation between the coding DNA sequences of canine with the different noncoding regions (introns and flanking regions) is found to be significant and in many cases the degree of correlation show similarity to human genome. We found that these correlations are not limited to the GC content alone, but is holding at the level of the frequency of individual bases as well. The present study suggests that canines ideally belong to the predicted 'general mammalian pattern' of genome composition along with human beings.