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31篇 您的检索式:作者名="Solanki V"
    题名 作者 年代 出处 被引量
1Efficacy of various collection methods for oocyte retrieval in buffalo 显示文摘DAS G K JAIN G C SOLANKI V S 1996Theriogenology1996,46,8:1
2Performance of fiber reinforced clayey soil 显示文摘MAHESHWARI K V DESAI A K SOLANKI C H 2011Elec- tronic Journal of Geoteehnieal Engineering2011,16,:1
3Neural network-based selective compensation of current quality problems in distribution system显示文摘Singh B Vernia V Solanki J 2007IEEE Transactions on Industrial Electronics2007,54,1:1
4Synthesis of copper sulphide and copper nanopartic1es with microemulsion method显示文摘SOLANKI J N SENGUPTA R MURTHY Z V P 2010Solid State Sciences2010,12,:1
5Synthesis, antibacterial, and antifungal activities of some novel derivatives of thiazo- 1o dihydropyrimidine possessing 4-pyrazolyl moiety显示文摘Solanki M J Shah V H 2012Asian J Chem2012,24,7:1
6Scope of colloid mill for industrial wet grinding for batter preparation of some Indian snack foods显示文摘Solanki S N Subramanian R Singh V 2005Journal of Food Engineer- ing2005,69,1:1
7Oocyte retrival and histological studies of follicular population in buffalo ovaries显示文摘Kumar A Solanki V S Jindal S K 1997Anim Reprod Sci1997,47,:1
8Oocyte retrieval and histological studies of follicular population in buffalo ovaries显示文摘Kumar A Solanki V S Jindal S K et cd 1997Anita Reprod Sci1997,47,3:1
9Scope of Colloid Mill for Industrial Wet Grinding for Batter Preparation of Some Indian Snack Foods 显示文摘Solanki S N Subramanian R Singh V 2005Journal of Food Engineering2005,69,1:1
10Elevated circulating levels of matrix,metalloproteinase-9 and -2 in patients with symptomatic coronary artery disease显示文摘Zeng B Prasan A Fung KC Solanki V Bruce D Freedman SB 2005Intern Med J2005,35,6:1
11Influence of growing environ- ment on 1he biochemical composition and physical characteristics of soybean seed显示文摘Kumar V Rani A Solanki S 2006J Food Compos Anal2006,19,:1
12Synthesis of copper sulphide and nanoparticles with microemulsion method显示文摘Solanki J N Sengupta R Murthy Z V P 2010Solid State Sciences2010,12,9:1
13Crossed fused renal ectopia: Challenges in diagnosis and man- agement显示文摘Solanki S Bhatnagar V Gupta A K 2013J Indian Assoc Pediatr Surg2013,18,1:1
14Fingerprinting method for phylogenetic classification and identification of microorganisms based on variation in 16S rRNA gene sequences 显示文摘Raghava G P S Solanki R J Soni V 2000Bio Techniques2000,29,:1
15Performance of fiber reinforced clayey soil显示文摘MAHESHWARI K V DESAI A K SOLANKI C H 2011The Electronic Joumal of Geotechnical Engineering2011,16,:1
16Fingerprintingmethod for phylogenetic classification and identificationof microorganisms based on variation in \6S rRNA genesequences显示文摘Raghava G P Solanki R J Soni V 2000BioTechniques2000,29,1:1
17Stabilization of tetanus toxoid formulation containing aluminium hydroxide adjuvant against agitation显示文摘Solanki V A Jain N K Roy I 2012International journal of pharmaceutics2012,423,2:1
18The oxidative degradation of styrenic copolymer:A comparison of photoproducts formation under natural and accelerated conditions 显示文摘Singh R P Prasad A V Solanky S S 2002Journal of Applied Polymer Science2002,85,:1
19Stabilization of tetanus toxoid formulation containing aluminium hydroxide adjuvant against freeze-thawing显示文摘Solanki V A Jain N K Roy I 2011International journal of pharmaceutics2011,414,1:1
20Artificial intelligence in perioperative management of major gastrointestinal surgeries显示文摘Artificial intelligence(AI)demonstrated by machines is based on reinforcement learning and revolves around the usage of algorithms.The purpose of this review was to summarize concepts,the scope,applications,and limitations in major gastrointestinal surgery.This is a narrative review of the available literature on the key capabilities of AI to help anesthesiologists,surgeons,and other physicians to understand and critically evaluate ongoing and new AI applications in perioperative management.AI uses available databases called“big data”to formulate an algorithm.Analysis of other data based on these algorithms can help in early diagnosis,accurate risk assessment,intraoperative management,automated drug delivery,predicting anesthesia and surgical complications and postoperative outcomes and can thus lead to effective perioperative management as well as to reduce the cost of treatment.Perioperative physicians,anesthesiologists,and surgeons are well-positioned to help integrate AI into modern surgical practice.We all need to partner and collaborate with data scientists to collect and analyze data across all phases of perioperative care to provide clinical scenarios and context.Careful implementation and use of AI along with real-time human interpretation will revolutionize perioperative care,and is the way forward in future perioperative management of major surgery.Sohan Lal Solanki Saneya Pandrowala Abhirup Nayak Manish Bhandare Reshma P Ambulkar Shailesh V Shrikhande 2021World Journal of Gastroenterology2021,27,21:1
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