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Drugs used for pain management in gastrointestinal surgery and their implications

World Journal of Gastrointestinal Pharmacology and Therapeutics 2024年第5期15卷 15-23页

作者： Ankit Shukla Rajesh Chaudhary Nishant Nayyar bhanu gupta Department of Surgery Dr Rajendra Prasad Government Medical CollegeKangra 176001Himachal PradeshIndia Department of Renal Transplant Surgery Dr Rajendra Prasad Government Medical CollegeKangra 176001India Department of Radiology Dr Rajendra Prasad Government Medical CollegeKangra 176001Himachal PradeshIndia Department of Anaesthesia Dr Rajendra Prasad Government Medical CollegeTandaKangra 176001Himachal PradeshIndia

Pain is the predominant symptom troubling *** management is one of the most important aspects in the management of surgical patients leading to early recovery from surgical procedures or in patients with chronic diseases or *** groups of drugs are used for dealing with this;however,they have their own implications in the form of adverse effects and *** this article,we review the concerns of different pain-relieving medicines used postoperatively in gastrointestinal surgery and for malignant and chronic diseases.

关键词： Acute pain Acute post operative pain Pain score Pain after GI surgery Analgesia Spinal anaesthesia Epidural anaesthesia Intravenous anaesthesia Regional anaesthesia Pain management

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Effect of Pressure and Temperature on Phase Transformation and Properties of Titanium Aluminide Obtained through Reaction Synthesis

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Journal of Materials Science & Technology 2010年第8期26卷 693-704页

作者： R.K.gupta bhanu Pant Vijaya Agarwala R.C.Agarwala P.P.Sinha Vikram Sarabhai Space Centre ISROTrivandrum-695 022India Indian Institute of Technology Roorkee

Reaction synthesis process has been used to develop γ titanium aluminide using elemental powders. Powder mixture of Ti-48 at. pct AI was prepared in ball mill and reaction synthesis was carried out in hot press with varying temperature and pressure. Titanium aluminide synthesized under high pressure and temperature resulted in better properties with respect to densification, homogenization response, mechanical properties and oxidation resistance as compared to that synthesized under low pressure and temperature. AI rich phases were observed in as-synthesized condition in all the experiments. However, some Ti rich phases were also found in high pressure-temperature synthesized samples. Density, hardness and tensile strength have been correlated with applied pressure through empirical relations. Variation in density with pressure is found to be logarithmic whereas hardness and tensile strength variation with pressure is polynomial.

关键词： Titanium aluminide Reaction synthesis Phase transformation

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Spray Prediction Model for Aonla Rust Disease Using Machine Learning

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Journal of Agricultural Science and Technology(B) 2023年第1期13卷 1-12页

作者： Hemant Kumar Singh bhanu Pratap S.K.Maheshwari Ayushi gupta Anuradha Chug Amit Prakash Singh Dinesh Singh Acharya Narendra Deva University of Agriculture and Technology Ayodhya 224229U.P.India ICAR-Central Institute for Arid Horticulture Bikaner 334006RajasthanIndia University School of Information Communication&TechnologyGGSIPUNew Delhi 110012India ICAR-Indian Agricultural Research Institute New Delhi 110012India

Disease prediction in plants has acquired much attention in recent *** factors such as:temperature,relative humidity,rainfall,sunshine play an important role in a plan’s growth only if they are present in adequate amounts as required by the *** the other hand,if the factors are inadequate,they may also support the growth of a disease in the *** current study focuses on the Rust disease in Aonla fruits and leaves by utilizing a real time dataset of weather *** different models are tested for spray prediction on conducive *** resampling techniques,random over sampling(ROS)and synthetic minority oversampling technique(SMOTE)have been used to balance the dataset and five different classifiers:support vector machine(SVM),logistic regression(LR),k-nearest neighbor(kNN),decision tree(DT)and random forest(RF)have been used to classify a particular day based on weather conditions as conducive or *** classifiers are then evaluated based on four performance metrics:accuracy,precision,recall and *** results indicate that for imbalanced dataset,kNN is appropriate with high precision and recall *** both balanced and imbalanced dataset models,the proposed model SMOTE-RF performs best among all models with 94.6%accuracy and can be used in a real time application for spray ***,timely fungicide spray prediction without over spraying will help in better productivity and will prevent the yield loss due to rust disease in Aonla crop.

关键词： Aonla Internet of Things machine learning plant disease rust spray prediction.

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