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您的检索式：作者名="Parth Shah"
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| 1 | 政府管制:印度问题的症结显示文摘 | Parth J Shah 贾拥民 | 2004 | 中国改革2004，，11： | 0 |
| 2 | De novo non-alcoholic fatty liver disease after pancreatectomy:A systematic review显示文摘BACKGROUND As operative techniques and mortality rates of pancreatectomy have improved,there has been a shift in focus to maintaining and improving the nutritional status of these patients as we continue to learn more about post-operative complications.Although pancreatic endocrine and exocrine insufficiencies are known complications of pancreatectomy,increased longevity of these patients has also led to a higher incidence of de novo fatty liver disease which differs from traditional fatty liver disease given the lack of metabolic syndrome.AIM To identify and summarize patterns and risk factors of post-pancreatectomy de novo fatty liver disease to guide future management.METHODS We performed a database search on PubMed selecting papers published between 2001 and 2022 in the English language.PubMed was last accessed 1 June 2022.RESULTS Various factors influence the development of de novo fatty liver including indication for surgery(benign vs malignant),type of pancreatectomy,amount of pancreas remnant,and peri-operative nutritional status.With an incidence rate up to 75%,de novo non-alcoholic fatty liver disease(NAFLD)can develop within 12 mo after pancreatectomy and various risk factors have been established including pancreatic resection line and remnant pancreas volume,peri-operative malnutrition and weight loss,pancreatic exocrine insufficiency(EPI),malignancy as the indication for surgery,and postmenopausal status.CONCLUSION Since majority of risk factors leads to EPI and malnutrition,peri-operative focus on nutrition and enzymes replacement is key in preventing and treating de novo NAFLD after pancreatectomy. | Parth Shah Vanisha Patel Motaz Ashkar | 2022 | World Journal of Clinical Cases2022，10，35： | 0 |
| 3 | Artificial intelligence:New age of transformation in petroleum upstream显示文摘In the Oil and Gas industry,the implementation of artificial intelligence techniques gives advantages of better use of existing infrastructure.It provides better future outcomes,which makes it an essential technology in the operations of the industry.In this paper,the implementation of artificial intelligence techniques for good planning,determination of reservoir rock properties,drilling optimization and production facilities are reviewed.With precise knowledge of permeability and porosity,reservoir engineers can develop robust reservoir development plan and manage hydrocarbon recovery effectively.For porosity prediction,wire-line log data and seismic attributes are used in artificial intelligence-based models.Permeability prediction has been discussed by considering the different types of well-log data in the modeling of artificial intelligence techniques to predict single-phase fluid.Solution of specific developed problems during the determination of permeability in the actual experiment is also mentioned.Artificial intelligence techniques are used in the design and accurate analysis of the drilling fluid.It assists in the selection of drill bit and drilling-related problems.If a reservoir cannot produce naturally,we can select a suitable artificial lift and design the production system using Artificial intelligence techniques.For EOR methods,SADA and NAVA knowledge base systems are discussed.Artificial intelligence can help in optimizing production,improve production efficiency and recovery of hydrocarbons. | Parth Solanki Dhruv Baldaniya Dhruvikkumar Jogani Bhavesh Chaudhary Manan Shah Ameya Kshirsagar | 2022 | Petroleum Research2022，7，1： | 0 |
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