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您的检索式：作者名="Debolina Banerjee"
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| 1 | Hepatitis C virus therapy with peg-interferon and ribavirin in Myanmar: A resource-constrained country显示文摘AIM To investigate peg-interferon(peg-IFN) and ribavirin(RBV) therapy in Myanmar and to predict sustained virologic response(SVR).METHODS This single-center, open-label, study was conducted in Myanmar between 2009 and 2014. A total of 288 patients infected with HCV genotypes 1, 2, 3 and 6 were treated with peg-IFN alpha-2a(180 μg/wk) or alpha-2b(50 to 100 μg as a weight-based dose) and RBV as a weight-based dose(15 mg/kg/d). Treatment duration was 48 wk for genotypes 1 and 6, 24 wk for genotype 2, and 24 or 48 wk for genotype 3 based on rapid virologic response(RVR). Those co-infected with hepatitis B received 48 wk of therapy.RESULTS Overall, SVR was achieved for 82% of patients and the therapy was well tolerated. All patients achieved SVR at equivalent rates regardless of HCV genotype(P = 0.314). Low fibrosis scores(P < 0.001), high baseline albumin levels(P = 0.028) and low baseline viral loads(P = 0.029) all independently predicted SVR. On the other hand, IL-28 B TT and CC genotypes were not found to significantly predict SVR(P = 0.634; P = 0.618). Among those who completed treatment, the occurrence of RVR showed a > 96% positive predictive value for achieving SVR. Treatment duration did not significantly impact the likelihood of achieving SVR for patients infected with genotype 3 HCV(P = 0.371). The most common adverse events were fatigue(71%) and poor appetite(60%). Among patients with genotype 3 HCV, more patients in the 48-wk treatment group required erythropoietin than in the 24-wk treatment group(61.1% vs 49.2%).CONCLUSION SVR rates were high with peg-IFN and RBV therapy in Myanmar. Fibrosis scores, baseline albumin, HCV RNA levels and RVR independently predicted SVR. | Naomi Khaing Than Hlaing Debolina Banerjee Robert Mitrani Soe Htet Arker Kyaw San Win Nyan Lin Tun Zaw Thant Khin Maung Win K Rajender Reddy | 2016 | World Journal of Gastroenterology2016，22，43： | 2 |
| 2 | An Auction-Based Recommender System for Over-The-Top Platform显示文摘In this era of digital domination,it is fit to say that individuals are more inclined towards viewership on online platforms due to the wide variety and the scope of individual preferences it provides.In the past few years,there has been a massive growth in the popularity of Over-The-Top platforms,with an increasing number of consumers adapting to them.The Covid-19 pandemic has also caused the proliferation of these services as people are restricted to their homes.Consumers are often in a dilemma about which subscription plan to choose,and this iswhere a recommendation systemmakes their task easy.The Subscription recommendation system allows potential users to pick the most suitable and convenient plan for their daily consumption from diverse OTT platforms.The economic equilibrium behind allocating these resources follows a unique voting and bidding system propped by us in this paper.The systemis dependent on two types of individuals,type 1 seeking the recommendation plan,and type 2 suggesting it.In our study,the system collaborates with the latterwho participate in voting and invest/bid in the available options,keeping in mind the user preferences.This architecture runs on an interface where the candidates can login to participate at their convenience.As a result,selective participants are awarded monetary gains considering the rules of the suggested mechanism,and the most voted subscription plan gets recommended to the user. | Hameed AlQaheri Anjan Bandyopadhay Debolina Nath Shreyanta Kar Arunangshu Banerjee | 2022 | Computers, Materials & Continua2022，，3： | 0 |
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