LEADER 00837nam0-22003011i-450- 001 990001635480403321 005 20050331103112.0 035 $a000163548 035 $aFED01000163548 035 $a(Aleph)000163548FED01 035 $a000163548 100 $a20030910d1979----km-y0itay50------ba 101 0 $aeng 200 1 $aPlant hormones and plant development$fWilliam P. Jacobs 210 $aCambridge$cUniversity Press$d1979 215 $aXII, 339 p.$d23 cm 610 0 $aAccrescimento vegetale 610 0 $aFitormoni 676 $a581.31 676 $a581.192 7 700 1$aJacobs,$bWilliam P.$070059 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001635480403321 952 $a60 581.3 B 2$b48301$fFAGBC 959 $aFAGBC 996 $aPlant hormones and plant development$9367462 997 $aUNINA LEADER 02244nam0 22003731i 450 001 UON00303789 005 20231205104020.329 100 $a20071109f1968 |0itac50 ba 101 $achi 102 $aTW 105 $a|||| 1|||| 200 1 $aAnwu si Zhong$fBao Shichen zhu , Shen Yunlong bian 210 $a[Taibei$cWenhai chubanshe$d1968] 215 $a4 v. (2602 p.)$d18 cm 311 $a1-4$9UON00301638 316 $aaltri inv. 122225-227 Ex Seminario di Sinologia [forse inv. SIN 961]$5IT-UONSI CINSERIE/005 (294,1-4) 316 $aEx Seminario di Sinologia [forse inv. SIN 961]$5IT-UONSI CINSERIE/005 (294,2) 316 $aEx Seminario di Sinologia [forse inv. SIN 961]$5IT-UONSI CINSERIE/005 (294,3) 316 $aEx Seminario di Sinologia [forse inv. SIN 961]$5IT-UONSI CINSERIE/005 (294,4) 410 0$1001UON00301638$12001 $aJindai Zhongguo shiliao congkan$v294 1-4 606 $aCINA$xSTORIA$xDINASTIA QING (1644-1911)$xFONTI$3UONC005054$2FI 686 $aCIN IV$cCINA - STORIA$2A 700 0$aBAO Shichen$cQing$3UONV073931$0696323 701 0$aSHEN Yunlong$3UONV033346$0695891 790 0$aPAO Shih-Ch'en $zBAO Shichen $3UONV073932 790 0$aSHEN Yun-Long$zSHEN Yunlong$3UONV173557 801 $aIT$bSOL$c20240220$gRICA 912 $aUON00303789 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CIN SERIE 005 (294,1-4) $eSI SA 122224 7 005 (294,1-4) altri inv. 122225-227 Ex Seminario di Sinologia [forse inv. SIN 961] 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CIN SERIE 005 (294,2) $eSI SA 122225 7 005 (294,2) Ex Seminario di Sinologia [forse inv. SIN 961] 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CIN SERIE 005 (294,3) $eSI SA 122226 7 005 (294,3) Ex Seminario di Sinologia [forse inv. SIN 961] 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI CIN SERIE 005 (294,4) $eSI SA 122227 7 005 (294,4) Ex Seminario di Sinologia [forse inv. SIN 961] 996 $aAnwu si Zhong$91379511 997 $aUNIOR LEADER 04415nam 22006735 450 001 9910744510503321 005 20230906183733.0 010 $a9789819953585 010 $a9819953588 024 7 $a10.1007/978-981-99-5358-5 035 $a(MiAaPQ)EBC30734694 035 $a(Au-PeEL)EBL30734694 035 $a(DE-He213)978-981-99-5358-5 035 $a(PPN)272735604 035 $a(CKB)28159431900041 035 $a(OCoLC)1396698355 035 $a(EXLCZ)9928159431900041 100 $a20230906d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Data Analytics in Business $eSelect Proceedings of ICDABM 2022 /$fedited by Kiran Chaudhary, Mansaf Alam, Narayan C. Debnath 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (196 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1068 311 08$aPrint version: Chaudhary, Kiran Intelligent Data Analytics in Business Singapore : Springer Singapore Pte. Limited,c2023 9789819953578 327 $aChapter 1. Examining Socially Responsible Investing Behaviour of Individuals based on Expert Opinion using DEMATEL -- Chapter 2. Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region -- Chapter 3. Current Landscape & Future Prospects of Community Healthcare Information System: A Conceptual study w.r.t Indian Healthcare -- Chapter 4. Fake News Detection Using Machine Learning -- Chapter 5. Status of basic Digital Tools Awareness among Women Vegetable Vendors and consequences-Hyderabad local markets -- Chapter 6. Influence of COVID-19 on Punjab Textile Industry -- Chapter 7. A New Transformation for Manufacturing Industries with Big Data Analytics and Industry 4.0 -- Chapter 8. Analysis for Detection in MANETs: Security Perspective -- Chapter 9. Exploring the Role of Business Intelligence Systems in IoT-Cloud Environment -- Chapter 10. Leading a Culturally Diverse Team in the Workplace -- Chapter 11. An Integrated Secure Blockchain and Deep Neural Network Framework for Better Agricultural Business Outcomes -- Chapter 12. ASCII Strip Based Novel Approach of Information Hiding in Frequency Domain -- Chapter 13. Investigating the Mediating Effect of EWOM While Exploring a Destination in Uttarakhand: A Tourist Perspective -- Chapter 14. Investigating the Factors that lead towards Intention to use Mobile commerce among Higher Education students -- Chapter 15. Strategic Plans for Market Campaign Using Machine Learning Algorithms -- Chapter 16. Gap Analysis of Electricity Demand and Supply in perspective of PROSUMERS of 5 KW Solar Rooftop Plants in Uttarakhand. 330 $aThis book includes peer-reviewed contributions presented at the International Conference on Data Analytics in Business and Marketing, ICDABM 2022. The book covers topics in data analytics, intelligent data, data management in business and marketing, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from the industry, which is helpful for young researchers and students. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1068 606 $aComputational intelligence 606 $aQuantitative research 606 $aArtificial intelligence 606 $aBusiness information services 606 $aComputational Intelligence 606 $aData Analysis and Big Data 606 $aArtificial Intelligence 606 $aIT in Business 615 0$aComputational intelligence. 615 0$aQuantitative research. 615 0$aArtificial intelligence. 615 0$aBusiness information services. 615 14$aComputational Intelligence. 615 24$aData Analysis and Big Data. 615 24$aArtificial Intelligence. 615 24$aIT in Business. 676 $a006.3 700 $aChaudhary$b Kiran$01429255 701 $aAlam$b Mansaf$01429256 701 $aDebnath$b Narayan C$01429257 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910744510503321 996 $aIntelligent Data Analytics in Business$93567894 997 $aUNINA