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Upal Kanti Mazumder,Malaya Gupta,Chandi Charan Kandar,Pallab Kanti Haldar 경희대학교 융합한의과학연구소 2007 Oriental Pharmacy and Experimental Medicine Vol.7 No.3
Glinus oppositifolius and Trianthema decandra belonging to the Ficoidaceae family were commonly used by tribal peoples for the treatment of liver disorders and cancer. The preliminary phytochemical screening of those plants showed the presence of flavonoids, terpenoids, tannins and saponins. The aim of this study was to evaluate the in vitro antioxidant activities of the methanol extracts of Glinus oppositifolius (MEGO) and Trianthema decandra (METD). The antioxidative capacities of MEGO and METD were determined by the following four complementary assay; DPPH radical scavenging assay, superoxide anion generation by xanthine-xanthine Oxidase assay, hydroxyl radical scavenging assay and Fe2+–ascorbate induced by lipid peroxidation assay. The IC50 values of the both extracts were calculated from the inhibition curve. The IC50 MEGO and METD in DPPH, superoxide anion, hydroxyl radical scavenging and lipid peroxidation assay are 1.85, 7.31, 13.95, 22.82 and 2.21, 9.78, 14.87, 19.76 µg/ml respectively. Both the extracts exhibited a significant antioxidant effects.
Mazumder, Upal Kanti,Gupta, Malaya,Haldar, Pallab Kanti,Kandar, Chandi Charan Kyung Hee Oriental Medicine Research Center 2007 Oriental pharmacy and experimental medicine Vol.7 No.3
Glinus oppositifolius and Trianthema decandra belonging to the Ficoidaceae family were commonly used by tribal peoples for the treatment of liver disorders and cancer. The preliminary phytochemical screening of those plants showed the presence of flavonoids, terpenoids, tannins and saponins. The aim of this study was to evaluate the in vitro antioxidant activities of the methanol extracts of Glinus oppositifolius (MEGO) and Trianthema decandra (METD). The antioxidative capacities of MEGO and METD were determined by the following four complementary assay; DPPH radical scavenging assay, superoxide anion generation by xanthine-xanthine Oxidase assay, hydroxyl radical scavenging assay and $Fe^{2+}$-ascorbate induced by lipid peroxidation assay. The $IC_{50}$ values of the both extracts were calculated from the inhibition curve. The $IC_{50}$ MEGO and METD in DPPH, superoxide anion, hydroxyl radical scavenging and lipid peroxidation assay are 1.85, 7.31, 13.95, 22.82 and 2.21, 9.78, 14.87, 19.76 ${\mu}g/ml$ respectively. Both the extracts exhibited a significant antioxidant effects.
Role of red grape polyphenols as antidiabetic agents
Kanti Bhooshan Pandey,Syed Ibrahim Rizvi 한국한의학연구원 2014 Integrative Medicine Research Vol.3 No.3
The worldwide incidence of diabetes mellitus has reached alarming proportions. Persistent hyperglycemia due to impaired insulin activity and/or insulin resistance inversely affects the retina, cerebrovascular system, kidney, peripheral limbs, and other parts of the body, which leads to life-threatening complications. The causal role of oxidative stress in the development and progression of diabetic complications has been emphasized. Polyphenols present in natural products have gained much attention in recent decades in preventive studies against diabetes-associated pathologies. In the present review, we provide a comparative update on the role of quercetin, myricetin, and resveratrol—the major polyphenols present in red grapes—in intervening with diabetic complications, and a brief highlight on the molecular mechanisms underlying oxidative stress mediated hyperglycemia.
Kanti Kumar Athankar,Kailas L Wasewar,Mahesh N. Varma,Diwakar Z. Shende 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.22 No.-
Extraction of a-toluic acid from aqueous solution has drawn attention due to its ample range ofbiological, antibacterial, analgesic, and virucidal properties. In the present paper, reactive separation ofa-toluic acid with tri-n-butyl phosphate dissolved in triglycerides of fatty acids such as castor oil,soybean oil and sunflower oil has been investigated to evaluate the performance of the diluents andextractants in reactive extraction process. The experimental results were presented as overalldistribution coefficient (KD), loading factor (f), extraction efficiency (E%), and overall equilibriumconstant (Eab) and observed in the range of data 4.4–45.7, 0.006–0.066, 81.6–97.9, and 15.1–28.1,respectively. Further relative basicity approach has been extended to represent the experimental results. The model is best suited to experimental results. The use of triglycerides of fatty acids (natural diluents)such as castor oil, soybean oil and sunflower oil can reduce the toxicity up to certain levels. Hence, allthree diluents can be used to avoid the toxicity effect.
Kanti Singh Sangher,Archana Singh,Hari Mohan Pandey International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.11
The darknet is frequently referred to as the hub of illicit online activity. In order to keep track of real-time applications and activities taking place on Darknet, traffic on that network must be analysed. It is without a doubt important to recognise network traffic tied to an unused Internet address in order to spot and investigate malicious online activity. Any observed network traffic is the result of mis-configuration from faked source addresses and another methods that monitor the unused space address because there are no genuine devices or hosts in an unused address block. Digital systems can now detect and identify darknet activity on their own thanks to recent advances in artificial intelligence. In this paper, offer a generalised method for deep learning-based detection and classification of darknet traffic. Furthermore, analyse a cutting-edge complicated dataset that contains a lot of information about darknet traffic. Next, examine various feature selection strategies to choose a best attribute for detecting and classifying darknet traffic. For the purpose of identifying threats using network properties acquired from darknet traffic, devised a hybrid deep learning (DL) approach that combines Recurrent Neural Network (RNN) and Bidirectional LSTM (BiLSTM). This probing technique can tell malicious traffic from legitimate traffic. The results show that the suggested strategy works better than the existing ways by producing the highest level of accuracy for categorising darknet traffic using the Black widow optimization algorithm as a feature selection approach and RNN-BiLSTM as a recognition model.
Immune response and efficacy of pigeon pox virus vaccine and fowl pox virus vaccine in chickens
( Niraj Kanti Shil ),( Md Siddique Rahman ),( MT Hossain ),( MT Islam ),( MM Rahman ),( KBM Saiful Islam ),( Se Yeoun Cha ),( Hyung Kwan Jang ),( Hee Jong Song ) 한국가축위생학회 2007 韓國家畜衛生學會誌 Vol.30 No.4
The humoral immune response of chicken vaccinated with fowl and pigeon pox virus vaccines was determined with the protective potentiality of the two vaccines in field condition of Bangladesh. Different aged Fayoumi chicks were subjected for the study. To assess the relationship with better immune response among experimental groups, the average percentage of ``take reaction`` was examined and recorded to 97.77% in group A, 93.33% in group B and 100.0% in group C. The level of immune status induced by different vaccinated group was measured by passive hemaggluti?nation(PHA) microplate test method. The mean PHA titer levels after primary vaccination were 33.06±14.13 in group A, 32.0±14.81 in group B, and 33.0±13.66 in group C. Following booster vaccination, the mean PHA titer levels in prior of challenge were increased to 55.46±14.64 in groups A and C, and 46.93±16.52 in group B. The recorded PHA titer levels of each group at two weeks after challenge were significantly increased to 106.66±31.22, 93.86±33.04 and 110.93±29.29, respectively. The PHA titer levels after vaccination and challenge were significantly increased compared to pre?vaccination titer levels(P<0.01). Although the PHA titer levels among three groups administrated different vaccine combinations in prior of challenge were significantly varied(P<0.01), it was observed that all of the vaccinated chicks were highly protected against challenge infection.
Pijush Kanti Jhan,Jae-Kyoung Shim,Rajendra Acharya,Kyeong-Yeoll Lee 한국응용곤충학회 2017 한국응용곤충학회 학술대회논문집 Vol.2017 No.10
The sweetpotato whitefly Bemisia tabaci is one of the most serious pests in the greenhouse. They can infest variouscrop plants even in high warm greenhouse condition in summer. To understand the effect of heat acclimation ability ofB. tabaci, mortality was determined at various temperature conditions of the greenhouse. Adult whiteflies survived evenin 63°C in tomato greenhouse. The median lethal temperature (LT50) of the greenhouse colony was 59.9°C however LT50of the lab colony was 47.6°C. The relative expression level of heat shock proteins (hsp23, hsp70 and hsp90) were significantlylower in the greenhouse colony compare to the lab colony. This result suggests B. tabaci has very high thermal adaptability(acclimation) and its mechanism is associated with heat shock protein system.
Kunal Kanti Maiti,Jatisankar Bandyopadhyay,Debashish Chakravarty,Subha Das,Sonjay Mondal 대한공간정보학회 2019 Spatial Information Research Vol.27 No.6
Reclamation consists of modifying the disturbed land and returning it to a more natural state of hills, grasslands, forests and lakes for the benefit of future generations. This study analyzed the change of land use and land cover in the Noamundi block (West Singhbhum district, Jharkhand), India. This paper demonstrates the impact of mining on the natural environment in this area by using three images of the Landsat missions from 2003, 2011 and 2017 which were processed by the supervised image classification (8 classes). By comparing the classified images this paper retrieve the absolute and relative change of land use and land cover in the study area. An accuracy assessment is performed to describe the quality of the classification. The maximum increase of agricultural areas is detected with a decrease in forest areas.