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| 1 | Soil-Plant-Microbe Interactions in Stressed Agriculture Management:A Review显示文摘The expected rise in temperature and decreased precipitation owing to climate change and unabated anthropogenic activities add complexity and uncertainty to agro-industry. The impact of soil nutrient imbalance, mismanaged use of chemicals, high temperature,flood or drought, soil salinity, and heavy metal pollutions, with regard to food security, is increasingly being explored worldwide. This review describes the role of soil-plant-microbe interactions along with organic manure in solving stressed agriculture problems. Beneficial microbes associated with plants are known to stimulate plant growth and enhance plant resistance to biotic(diseases) and abiotic(salinity, drought, pollutions, etc.) stresses. The plant growth-promoting rhizobacteria(PGPR) and mycorrhizae, a key component of soil microbiota, could play vital roles in the maintenance of plant fitness and soil health under stressed environments. The application of organic manure as a soil conditioner to stressed soils along with suitable microbial strains could further enhance the plant-microbe associations and increase the crop yield. A combination of plant, stress-tolerant microbe, and organic amendment represents the tripartite association to offer a favourable environment to the proliferation of beneficial rhizosphere microbes that in turn enhance the plant growth performance in disturbed agro-ecosystem. Agriculture land use patterns with the proper exploitation of plant-microbe associations, with compatible beneficial microbial agents, could be one of the most effective strategies in the management of the concerned agriculture lands owing to climate change resilience. However, the association of such microbes with plants for stressed agriculture management still needs to be explored in greater depth. | Shobhit Raj VIMAL Jay Shankar SINGH Naveen Kumar ARORA Surendra SINGH | 2017 | Pedosphere2017，27，2： | 24 |
| 2 | Synthesis of nano-particles of anatase-TiO2 and preparation of its optically transparent film in PVA显示文摘 | P K Khanna Narendra Singh Shobhit Charan | 2007 | Materials Letters2007，61，25： | 1 |
| 3 | 显示文摘 | Khanna P K Narendra Singh Shobhit Charan Subbarao V V V S | 2005 | Chemistry and Physics2005，93，1： | 1 |
| 4 | Synthesis of nano-particles of anatase-TiO2 and preparation of its optically transparent fihn in PVA显示文摘 | KHANNA P K SINGH Narendra CHARAN Shobhit | 2007 | Materials Letters2007，61，25： | 1 |
| 5 | Clinical outcomes and gut microbiota analysis of severe alcohol-associated hepatitis patients undergoing healthy donor fecal transplant or pentoxifylline therapy:single-center experience from Kerala显示文摘Background Severe alcohol-associated hepatitis(SAH)patients with infections have a high short-term mortality rate.Gut microbiota dysbiosis plays an important role in the pathogenesis of SAH.Preliminary studies have demonstrated long-term benefits with healthy donor fecal microbiota transplantation(FMT).Data on FMT compared with pentoxifylline for SAH and relevant gut microbial changes are lacking in literature.Methods From January 2019 to February 2021,retrospective analysis of a single hospital’s records revealed 47 SAH patients undergoing FMT(100mL/day via nasoduodenal tube for 7days)and 25matched patients receiving pentoxifylline(400mg/8 h for 28days).The primary end point was a 6-month survival rate.Secondary end points included incidence of ascites,hepatic encephalopathy,infections,acute kidney injury,and gutmicrobiota changes between post-therapy groups.Biomarker discovery and network analysis were also performed to identify significant taxa of gutmicrobiota in post-treatment groups in retrospectively stored stool samples.Results All were males.The 6-month survival rate was higher in the patients undergoing FMT than in patients receiving pentoxifylline(83.0%vs 56.0%,P=0.012).At the end of 6-month follow-up,the incidences of clinically significant ascites(56.0%vs 25.5%,P=0.011),hepatic encephalopathy(40.0%vs 10.6%,P=0.003),and critical infections(52.0%vs 14.9%,P<0.001)in patients administered pentoxifylline were significantly higher than those in patients treated with FMT.At 3 months,biomarker analysis revealed a significant abundance of Bifidobacterium and Eggerthella in the FMT group and the pentoxifylline group,respectively.At 6 months,Bifidobacterium in the FMT group and pathogenic Aerococcaceae in the pentoxifylline group were notable.Network analysis showed beneficial taxa(Bifidobacterium)as a central influencer in those undergoing FMT at 6 months.Conclusions Healthy donor FMT improved survival rate and reduced liver-related complications compared with pentoxifylline.These clinical benefits were associated with favorable modulation of intestinal bacterial communities.Difficult-totreat SAH patients may be safely bridged to transplantation using FMT.Controlled trials evaluating long-term outcomes are an unmet need. | Cyriac Abby Philips Rizwan Ahamed Sasidharan Rajesh Shobhit Singh Ajit Tharakan Jinsha K.Abduljaleel Philip Augustine | 2022 | Gastroenterology Report2022，10，1： | 1 |
| 6 | Synthesis of Ag/polyaniline nanocomposite via an in situ photo-redox mechanism 显示文摘 | Khanna P K Narendra Singh Shobhit Charan | 2005 | Materials Chemistry and Physics2005，92，： | 1 |
| 7 | An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach显示文摘This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis disease.In addition to forecasting the occurrences of conjunctivitis incidences,the proposed model also improves performance by using the ensemble model.Weekly rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December 2019.Pre-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets.A stacked generalization ensemble model based on Auto-ARIMA(Autoregressive Integrated Moving Average),NNAR(Neural Network Autoregression),ETS(Exponential Smoothing),HW(Holt Winter)is proposed and applied on the dataset.Predictive analysis is conducted on the collected dataset of conjunctivitis disease,and further compared for different performance measures.The result shows that the RMSE(Root Mean Square Error),MAE(Mean Absolute Error),MAPE(Mean Absolute Percentage Error),ACF1(Auto Correlation Function)of the proposed ensemble is decreased significantly.Considering the RMSE,for instance,error values are reduced by 39.23%,9.13%,20.42%,and 17.13%in comparison to Auto-ARIMA,NAR,ETS,and HW model respectively.This research concludes that the accuracy of the forecasting of diseases can be significantly increased by applying the proposed stack generalization ensemble model as it minimizes the prediction error and hence provides better prediction trends as compared to Auto-ARIMA,NAR,ETS,and HW model applied discretely. | Shobhit Verma Nonita Sharma Aman Singh Abdullah Alharbi Wael Alosaimi Hashem Alyami Deepali Gupta Nitin Goyal | 2022 | Computers, Materials & Continua2022，，3： | 0 |
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