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| 1 | Genome-wide transcriptomic analysis of cotton under drought stress reveal significant down-regulation of genes and pathways involved in fibre elongation and up-regulation of defense responsive genes显示文摘 | Kethireddy Venkata Padmalatha Gurusamy Dhandapani Mogilicherla Kanakachari Saravanan Kumar Abhishek Dass Deepak Prabhakar Patil Vijayalakshmi Rajamani Krishan Kumar Ranjana Pathak Bhupendra Rawat Sadhu Leelavathi Palakolanu Sudhakar Reddy Neha Jain Kasu N | 2012 | Plant Molecular Biology2012，，3： | 1 |
| 2 | A highly specific PCR assay for identification of raw and heat treated mutton ( Ovis aries )显示文摘 | Nagappa S. Karabasanavar S.P. Singh V. Umapathi Deepak Kumar Girish Patil Sunil N. Shebannavar | 2011 | Small Ruminant Research2011，，2： | 1 |
| 3 | Enhanced activity of chemically synthesized hybrd graphene oxide/Mn304 composite for high performance mance supercapacitors显示文摘 | Girish S Gund Deepak P Dubal Bebi H Patil | 2013 | Electrochimica Acta2013，，1： | 1 |
| 4 | Evaluation of Jatropha curcas Linn. leaf extracts for its cytotoxicity and potential to inhibit hemagglutinin protein of influenza virus显示文摘 | Deepak Patil Soumen Roy Ritwik Dahake Shreewardhan Rajopadhye Sweta Kothari Ranjana Deshmukh Abhay Chowdhary | 2013 | Indian Journal of Virology2013，，2： | 1 |
| 5 | Dengue fever leading to acute dengue hemorrhagic leukoencephalitis:A case report显示文摘Rationale:Dengue fever is a prevalent tropical infectious disease that has a broad panorama of presentations from mild febrile illness to life-threatening manifestations in the form of dengue hemorrhagic fever and dengue shock syndrome.Patient’s concerns:A 20-year-old male presented with a 2-day history of fever,multiple episodes of vomiting,and altered sensorium.Diagnosis:Dengue fever leading to acute hemorrhagic leukoencephalitis.Interventions:Multiple transfusions of single donor platelets,intravenous methylprednisolone,intravenous immunoglobulin,anti-seizure prophylaxis,and broad-spectrum antibiotics.Outcomes:Repeat brain magnetic resonance imaging showed resolution of lesions.The patient was subsequently discharged from the hospital in a healthy state.Lessons:This report helps us to gain a better understanding of the patient’s presentation,which will help to improve the timely recognition and prevention of this rare devastating presentation. | Shalendra Singh Ankur Gupta Subrat Kumar Nanda Patil Dipti Devidas Deepak Dwivedi | 2021 | Journal of Acute Disease2021，10，6： | 0 |
| 6 | Influence of Ag Doping on Physico-Chemical Properties of the Ge28Sb12Se60 Chalcogenide Glassy Matrix显示文摘 | Deepak Patil Manisha Konale Lukas Strizik Laurent Calvez David Le Coq Bozena Frumarova MilanVlcek Tomas Wagner | 2016 | 材料科学与工程(中英文A版)2016，6，3： | 0 |
| 7 | Ultrasound liver tumor segmentation using adaptively regularized kernel-based fuzzy C means with enhanced level set algorithm显示文摘Purpose-The purpose of this study is to develop a hybrid algorithm for segmenting tumor from ultrasound images of the liver.Design/methodology/approach-After collecting the ultrasound images,contrast-limited adaptive histogram equalization approach(CLAHE)is applied as preprocessing,in order to enhance the visual quality of the images that helps in better segmentation.Then,adaptively regularized kernel-based fuzzy C means(ARKFCM)is used to segment tumor from the enhanced image along with local ternary pattern combined with selective level set approaches.Findings-The proposed segmentation algorithm precisely segments the tumor portions from the enhanced images with lower computation cost.The proposed segmentation algorithm is compared with the existing algorithms and ground truth values in terms of Jaccard coefficient,dice coefficient,precision,Matthews correlation coefficient,f-score and accuracy.The experimental analysis shows that the proposed algorithm achieved 99.18% of accuracy and 92.17% of f-score value,which is better than the existing algorithms.Practical implications-From the experimental analysis,the proposed ARKFCM with enhanced level set algorithm obtained better performance in ultrasound liver tumor segmentation related to graph-based algorithm.However,the proposed algorithm showed 3.11% improvement in dice coefficient compared to graph-based algorithm.Originality/value-The image preprocessing is carried out using CLAHE algorithm.The preprocessed image is segmented by employing selective level set model and Local Ternary Pattern in ARKFCM algorithm.In this research,the proposed algorithm has advantages such as independence of clustering parameters,robustness in preserving the image details and optimal in finding the threshold value that effectively reduces the computational cost. | Deepak S.Uplaonkar Virupakshappa Nagabhushan Patil | 2022 | International Journal of Intelligent Computing and Cybernetics2022，15，3： | 0 |
| 8 | Systematic review on the risk-benefit ratio of morphine for acute heart failure显示文摘Objective:To evaluate morphine's risk-benefit profile in the treatment of acute heart failure.Method:Different electronic databases,including PubMed,MEDLINE,Cochrane Library,and Google Scholar,as well as clinicaltrails.gov,were searched for articles published between 2012 and 2022.The risk of bias in the present study was evaluated by employing randomized controlled trials(RCTs)checklist that assesses the effectiveness of new interventions through random assignment of participants to different treatment groups.The two-part tool was used to address the five specific domains such as selection bias,performance bias,detection bias,attrition bias,and selective reporting bias.Evaluation of the quality of diagnostic accuracy studies was conducted using the RevMan software(version 5.4),a quality assessment tool.Results:A total of 13 studies were included in the present review,in which there were 5 retrospective studies,3 randomized-control studies,2 prospective studies,1 multicenter pharmacodynamics study,1 multicenter cardiac magnetic resonance imaging study,and 1 open-label,cross-over study.The mortality of acute heart failure patients treated with morphine was higher compared to those without morphine.Conclusions:Acute heart failure patients who do not receive morphine have a lower mortality rate compared to those who receive morphine.Considering the adverse effects,including mortality associated with morphine,there is a pressing need for further research to explore alternative and effective treatment options in acute heart failure. | Rushikesh S.Haridas Sheetal Shelke Girish Patrike Deepak Patil Sainath Dhumal | 2023 | Journal of Acute Disease2023，12，3： | 0 |
| 9 | Integrated “Generate, Make, and Test” for Formulated Products using Knowledge Graphs显示文摘In the multi-billion dollar formulated product industry, state of the art continues to rely heavily on experts during the 'generate, make and test' steps of formulation design. We propose automation aids to each step with a knowledge graph of relevant information as the central artifact. The generate step usually focuses on coming up with new recipes for intended formulation. We propose to aid the experts who generally carry out this step manually by providing a recommendation system and a templating system on top of the knowledge graph. Using the former, the expert can create a recipe from scratch using historical formulations and related data. With the latter, the expert starts with a recipe template created by our system and substitutes the requisite constituents to form a recipe. In the current state of practice, the three steps mentioned above operate in a fragmented manner wherein observations from one step do not aid other steps in a streamlined manner. Instead of manually operated labs for the make and test steps, we assume automated or robotic labs and in-silico testing, respectively. Using two formulations, namely face cream and an exterior coating, we show how the knowledge graph may help integrate and streamline the communication between the generate, the make, and the test steps. Our initial exploration shows considerable promise. | Sagar Sunkle Deepak Jain Krati Saxena Ashwini Patil Tushita Singh Beena Rai Vinay Kulkarni | 2021 | Data Intelligence2021，3，3： | 0 |
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