AIM: To evaluate whether the effectiveness of Granulo-monocyto apheresis (GMA), a technique that consists of the extracorporeal removal of granulocytes and monocytes from the peripheral blood, might vary according to ...AIM: To evaluate whether the effectiveness of Granulo-monocyto apheresis (GMA), a technique that consists of the extracorporeal removal of granulocytes and monocytes from the peripheral blood, might vary according to the severity of ulcerative colitis (UC) in patients with mild to moderate-severe disease UC activity.展开更多
This research article proposes an automatic frame work for detectingCOVID -19 at the early stage using chest X-ray image. It is an undeniable factthat coronovirus is a serious disease but the early detection of the vi...This research article proposes an automatic frame work for detectingCOVID -19 at the early stage using chest X-ray image. It is an undeniable factthat coronovirus is a serious disease but the early detection of the virus presentin human bodies can save lives. In recent times, there are so many research solutions that have been presented for early detection, but there is still a lack in needof right and even rich technology for its early detection. The proposed deeplearning model analysis the pixels of every image and adjudges the presence ofvirus. The classifier is designed in such a way so that, it automatically detectsthe virus present in lungs using chest image. This approach uses an imagetexture analysis technique called granulometric mathematical model. Selectedfeatures are heuristically processed for optimization using novel multi scaling deep learning called light weight residual–atrous spatial pyramid pooling(LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting majorlevel of image features. Moreover, the corona virus has been detected usinghigh resolution output. In the framework, atrous spatial pyramid pooling(ASPP) method is employed at its bottom level for incorporating the deepmulti scale features in to the discriminative mode. The architectural workingstarts from the selecting the features from the image using granulometricmathematical model and the selected features are optimized using LightRESASPP-Unet. ASPP in the analysis of images has performed better than theexisting Unet model. The proposed algorithm has achieved 99.6% of accuracyin detecting the virus at its early stage.展开更多
Hemorrhagic fever with renal syndrome is a severe human illness, which threatens a large portion of the world’s population. However, little, if any, is known about the morphology and, especially, about the morphogene...Hemorrhagic fever with renal syndrome is a severe human illness, which threatens a large portion of the world’s population. However, little, if any, is known about the morphology and, especially, about the morphogenesis of its causative virus.展开更多
The aberrant expression of oncogenes in quality and quantity contributes to carcinogenesis. It depends greatly on many stages, such as transcription, post transciption and translation. The regulation of transcription ...The aberrant expression of oncogenes in quality and quantity contributes to carcinogenesis. It depends greatly on many stages, such as transcription, post transciption and translation. The regulation of transcription plays the most important role in gene regulation. Thus, it has been considered that the research of positive and negative regulators for the transcription regulation, narticularly in suppressors is very important,展开更多
文摘AIM: To evaluate whether the effectiveness of Granulo-monocyto apheresis (GMA), a technique that consists of the extracorporeal removal of granulocytes and monocytes from the peripheral blood, might vary according to the severity of ulcerative colitis (UC) in patients with mild to moderate-severe disease UC activity.
文摘This research article proposes an automatic frame work for detectingCOVID -19 at the early stage using chest X-ray image. It is an undeniable factthat coronovirus is a serious disease but the early detection of the virus presentin human bodies can save lives. In recent times, there are so many research solutions that have been presented for early detection, but there is still a lack in needof right and even rich technology for its early detection. The proposed deeplearning model analysis the pixels of every image and adjudges the presence ofvirus. The classifier is designed in such a way so that, it automatically detectsthe virus present in lungs using chest image. This approach uses an imagetexture analysis technique called granulometric mathematical model. Selectedfeatures are heuristically processed for optimization using novel multi scaling deep learning called light weight residual–atrous spatial pyramid pooling(LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting majorlevel of image features. Moreover, the corona virus has been detected usinghigh resolution output. In the framework, atrous spatial pyramid pooling(ASPP) method is employed at its bottom level for incorporating the deepmulti scale features in to the discriminative mode. The architectural workingstarts from the selecting the features from the image using granulometricmathematical model and the selected features are optimized using LightRESASPP-Unet. ASPP in the analysis of images has performed better than theexisting Unet model. The proposed algorithm has achieved 99.6% of accuracyin detecting the virus at its early stage.
文摘Hemorrhagic fever with renal syndrome is a severe human illness, which threatens a large portion of the world’s population. However, little, if any, is known about the morphology and, especially, about the morphogenesis of its causative virus.
基金Project supported by the National Natural Science Foundation of China.
文摘The aberrant expression of oncogenes in quality and quantity contributes to carcinogenesis. It depends greatly on many stages, such as transcription, post transciption and translation. The regulation of transcription plays the most important role in gene regulation. Thus, it has been considered that the research of positive and negative regulators for the transcription regulation, narticularly in suppressors is very important,
