Untitled

Abstract

rAAV is a promising vector for hepatic gene therapy for diabetes. Glucose and insulin secretagogues modulated transgene ex pression in rAAV-transduced hepatoma cells, suggesting that condi tions affecting insulin gene promoter function in pancreatic islet beta cells also affect transgene expression in human hepatoma cells con ferred with insulin gene promoter. Results obtained from in viv experiments demonstrated that glucose modulated transgene expres sion can be obtained in rAAV-treated diabetic C57BL16J mice.

A Comprehensive Review and Open Challenges on Visual Question Answering Models

“…VGGNet LSTM+Q+I [1], AVWAN [2],SAN [6],Facts-VQA [70],DPP [75], QAM [76], Region-Sel [77], NMN [78], ResNet FDA [5], Bayesian [7], Dense-Sym [8], Code-Mix VQA [9], Hei-Co-atten [10], Rich-img-Region [27], MCB [29], MRN [30] , FVTA [33], MUTAN [36], Meta-VQA [77],Rich-VQA [79], QTA [80], , DCN [81], GoogleNet Neural Image QA [80], Multi-Modal QA [82] , i-Bowing [83], Smem [84] F-RCNN Code-Mixed VQA [9], CAQT [11], QLOB [12], BAN [28] , MFB [32], [85] ,explicit-know-Based [86] , Know-Base Graph [87] BERT VilBERT [13], LXMERT [14] , UNITER [15], Oscar [16], MPC [25], Semantic VLBERT [88] Source: Own elaboration. The next step in the VQA model is to extract question features.…”

“…They use recurrent neural networks to encode the complete question at the question level. In [11] authors used one hot encoding + Bi-LSTM. Instead of using the last hidden layer, they used all the hidden states of Bi-LSTM as the final features of the question.…”

“…Table 2 summarizes techniques used for question feature extraction. [3], FDA [5], CAQT [11] BoW VQA [1], Simple Baseline [17] Glove KAN [19],BAN [28] , TipsNTracks [89] Word2Vec…”

“…Some research has shown that capturing regional or local information enhances model performance even more. Faster R-CNN was utilized by [9,11,12,13] to extract local object-level characteristics from the image. Local features make it possible to explore the image's more detailed and important features.…”

Autoimmunity and Gene Therapy: The nemesis of autoimmunity

“…These features were exploited in a number of studies aimed at restoring insulin production, [2][3][4] at facilitating islet transplantation 5,6 and at inducing immunoregulation in prediabetic NOD mice. 7,8 Perhaps the most crucial determinant of high-level transgene expression from these vectors was the serotype.…”