Academic literature on the topic 'Quantitavie'
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Journal articles on the topic "Quantitavie"
SUZUKI, Masato. "QUANTITAVIE PROPERTY OF SPACE DISTRIBUTION OF RAINFALL FOR TREND ANALYSIS." PROCEEDINGS OF HYDRAULIC ENGINEERING 50 (2006): 409–14. http://dx.doi.org/10.2208/prohe.50.409.
Full textmajidimehr, ahmad. "Study of Quantitavie Characteristics Correlated with Grain Yield in Rice using Multivariate Analysis." Journal of Crop Breeding 10, no. 27 (November 1, 2018): 143–51. http://dx.doi.org/10.29252/jcb.10.27.143.
Full textPrilyscia, Ayu, Sutarno Sutarno, and Rahayu Rahayu. "Hubungan Alih Fungsi Lahan dan Perubahan Iklim terhadap Hasil Komoditas Pertanian di Jumantono." Agrotechnology Research Journal 2, no. 1 (June 4, 2018): 28. http://dx.doi.org/10.20961/agrotechresj.v2i1.19424.
Full textHulopi, Aristo Kurniawan, Hartati Tuli, and Usman. "Analisis Penerapan Akuntansi Aset Tetap pada Koperasi di Kota Gorontalo." Jambura Accounting Review 2, no. 1 (February 23, 2021): 1–11. http://dx.doi.org/10.37905/jar.v2i1.20.
Full textSitorus, Carolina Junianti. "The Effect of Using YouTube Video on the Tenth Graders’ Writing Procedural Text Achievement at SMA Corpatarin." JET (Journal of English Teaching) 3, no. 1 (May 31, 2018): 1. http://dx.doi.org/10.33541/jet.v3i1.695.
Full textSuta, Darma Arya, and Made Aristia Prayudi. "Pengaruh Penggunaan Sistem Informasi Akuntansi, Tingkat Pendidikan, Gender, Terhadap Keberhasilan UKM Di Kecamatan Buleleng." Jurnal Pendidikan Ekonomi Undiksha 14, no. 1 (June 27, 2022): 33–44. http://dx.doi.org/10.23887/jjpe.v14i1.37271.
Full textAroumougame, Ananda Kumar. "The Impact of Youth Unemployment Due To Work Experience Required by Business Houses, Lusaka Zambia." Khazanah Sosial 3, no. 3 (July 25, 2021): 105–17. http://dx.doi.org/10.15575/ks.v3i3.10745.
Full textAroumougame, Ananda Kumar. "The Impact of Youth Unemployment Due To Work Experience Required by Business Houses, Lusaka Zambia." Khazanah Sosial 3, no. 3 (July 25, 2021): 105–17. http://dx.doi.org/10.15575/ks.v3i3.10745.
Full textWahyudi, Ilham Anjas. "PENG ARUH BRAND IMAGE DAN EXPERIENTIAL MARKETING TERHADAP CUSTOMER SATISFACTION (STUDI PADA HOTEL OYO SURABAYA)." Jurnal Muara Ilmu Ekonomi dan Bisnis 5, no. 1 (January 16, 2021): 25. http://dx.doi.org/10.24912/jmieb.v5i1.9240.
Full textSholihannisa, Lulu Ulfa, and Hadiansyah Ma’sum. "Persepsi Mahasiswa Terhadap Kinerja Dosen Dalam Pembelajaran Dengan Model Block System Learning." JUPIIS: JURNAL PENDIDIKAN ILMU-ILMU SOSIAL 12, no. 2 (October 19, 2020): 383. http://dx.doi.org/10.24114/jupiis.v12i2.17737.
Full textDissertations / Theses on the topic "Quantitavie"
Albert, Elise. "Déterminants génétiques et génomiques de la réponse au déficit hydrique chez la tomate (Solanum lycopersicum) et impact sur la qualité des fruits." Thesis, Avignon, 2017. http://www.theses.fr/2017AVIG0688/document.
Full textWater scarcity will constitute a crucial constraint for agricultural productivity in a nearfuture. High throughput approaches in model species have identified hundreds of genespotentially involved in survival under drought conditions, but very few having beneficialeffects on quality and yield in crops plants. Nonetheless, controlled water deficits mayimprove fleshy fruit quality through weaker dilution and/or accumulation of nutritionalcompounds. In this context, the first part of the PhD was aimed at deciphering the geneticdeterminants of the phenotypic response to water deficit in tomato by exploring thegenotype by watering regime (G x W) and QTL by watering regime (QTL x W) interactions intwo populations. The first population consisted in recombinant inbreed lines (RIL) from across between two cultivated accessions and the second was composed of diverse small fruittomato accessions mostly native from South America. Plants were phenotyped for majorplant and fruit quality traits and genotyped for thousands of SNP. Data were analyzed withinthe linkage and association mapping frameworks allowing the identification of QTLs andputative candidate genes for response to water deficit in tomato. The second part of the PhDhad the objective to explore gene regulation in green fruit and leaves of tomato plantsstressed by water deficit. For this purpose, RNA-Seq data were collected on the two parentalgenotypes of the RIL population and their F1 hybrid. Data were analyzed to identifydifferentially expressed genes and allele specific expression (ASE). Then, the expression of200 genes was measured in leaves and fruits of the whole RIL population by high throughputmicrofluidic qPCR. eQTLs and eQTL by watering regime interactions were mapped for thosegenes using linkage mapping. Colocalisations with the phenotypic QTLs were analyzed. Theknowledge produced during this PhD will contribute to a better understanding of the tomatoplant interaction with their environment and provide bases for improvement of fruit qualityunder limited water supply
Jha, Ankita. "Quantitative control of GPCR organization and signaling by endocytosis in epithelial morphogenesis." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0393/document.
Full textDuring Drosophila gastrulation, apical activation of the actomyosin networks drives apical constriction in the invaginating mesoderm and cell-cell intercalation in the extending ectoderm. Here, we show that cell-surface G-protein coupled receptor, Smog activates G-proteins, Rho1 and Rho-kinase that is required for apical constriction and cell-cell intercalation. Quantitative control over GPCR activity and thereby Rho1 activation underlies differences in deformation of the mesoderm and ectoderm cells but the mechanisms remain elusive. We show that GPCR-Smog activity is concentrated on two different apical plasma membrane compartments i.e. the surface and the plasma membrane invaginations. Using FCS, we probe the surface of the plasma membrane (PM) and show that Smog homo-clusters in response to its activating ligand Fog. Endocytosis of Smog is facilitated by the kinase Gprk2 and the adaptor protein β-Arrestin-2 that clears active Smog from the surface of PM. When Fog concentration is high or endocytosis is low, Smog arranges in homo-clusters and accumulates in plasma membrane invaginations (PMI), that are hubs for Rho1 activation. Lastly, we find high Smog homo-cluster concentrations and numerous apical PMIs in the mesoderm compared to the ectoderm. We identify that dynamic partitioning of active Smog on the surface of the PM or PMI directly impact on Rho1 signaling. PMIs accumulate high Rho1-GTP suggesting they form signaling centers. Fog concentration and Smog endocytosis form coupled regulatory processes that regulate quantitative differential Rho1/MyoII activation in the Drosophila mesoderm and ectoderm
Nooriafshar, Mehryar. "Balancing the Use of Technology and Traditional Approaches in Teaching Mathematics within Business Courses." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80771.
Full textGoldhahn, Dirk. "Quantitative Methoden in der Sprachtypologie: Nutzung korpusbasierter Statistiken." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-130550.
Full textJouvanceau, Valentin. "Three essays on unconventional monetary policies." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE2061.
Full textThe thesis is organized in three research papers. The paper of the first chapter is: “Quantitative Easing and Excess Reserves”. The chapter 2 offers a paper named: “New Evidence on the Effects of Quantitative Easing”. The chapter 3 is a paper called: “State-contingent Forward Guidance”.“Quantitative Easing and Excess Reserves”: What are the impacts of a flush of interest-bearing excess reserves to the real economy? Surprisingly, the theoretical literature remains silent about this ques- tion. We address this issue in a newKeynesian model with various financial frictions and reserve requirements in the balance sheet of bankers. Modeling QE by the supply of excess reserves allows for endogenous changes in the relative supply of financial assets. We find that this mechanism is crucial to identify and disentangle between the portfolio balance, the credit and the asset prices channels of QE. Further, we demonstrate that the macroeconomic effects of QE are rather weak and mainly transmitted through the asset prices channel.“New Evidence on the Effects of Quantitative Easing”: Have the macroeconomic effects of QE programs been empirically overestimated? Using a large set of model specifications that differ in the degree of time-variation in parameters, the answer is yes. Our forecasting exercise suggests that it is crucial to allow for time-variation in parameters, but not for stochastic volatility. In an analysis of structural QE shocks, we find that QE1 had larger macroeconomic effects than QE2 and QE3, but much smaller than usually found in the literature.“State-contingent Forward Guidance”: In this paper, the impacts of a statecontingent forward guidance are assessed in a DSGE model with search and matching frictions. Under an Odyssean perspective, the commitment is found to have relatively low effects in the economy. This result tackles the so-called forward guidance puzzle. In addition, the simulations suggest that a statecontingent forward guidance is mainly transmitted by shifts in the expectations of inflation
Talouarn, Estelle. "Utilisation des données de séquence pour la cartographie fine et l'évaluation génomique des caractères d'intérêt des caprins laitiers français." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0067.
Full textFrench dairy goats recently integrated genomics with the development of a DNA chip in the 2010s and the first QTL detections and genomic evaluations. The availability of sequence data for farm animals opens up new opportunities. The VarGoats project is an international 1,000 genomes resequencing program designed to provide sequence information of the Capra hircus species. The study of imputation quality to sequence level is a necessary first step before using imputed sequences in association analysis and genomic evaluations. The main objective of this work was to study the possible integration of sequence data in the French dairy goats breeding programs. The set up of a quality check represented a sizable part of this thesis. It was based on bibliographic research and the comparison between available 50k genotypes and sequence data. Out of the initial 97,889,899 SNPs and 12,304,043 indels, we eventually retained 23,338,436 variants including 40,491 SNPs of the Illumina GoatSNP50 BeadChip. A preliminary study of imputation from 50k genotypes to sequence was then performed with the aim of getting a sufficient number of sequenced animals of good quality. Several softwares and methods were considered (family or population imputation) using the 829 sequenced animals available. Within-breed imputation led to genotype and allele concordance of 0.74 and 0.86 in Saanen and 0.76 and 0.87 in Alpine respectively. Correlations were then of 0.26 and 0.24 in Alpine and Saanen respectively. Imputed sequence of males confirmed signals previously identified using 50k genotypes and allowed the detection of new regions of interest. The density of sequence data represented an unprecedented opportunity to deepen our understanding of QTL region of chromosome 19 in the Saanen breed. This region is associated to production, type and udder health traits as well as semen production traits. Our analysis did not point out any candidate mutation. However, we offer a simple way to identify genomic and phenotypic profiles in the Saanen breed using 50k genotypes. This method could be of use for early prediction in France but also worldwide. Finally, using all previous results, we studied the impact of the integrating imputed sequence data of chromosome 19 on the accuracy of evaluations in French Saanen. Several evaluation models were compared : single-step GBLUP (ssGBLUP) and weighted single-step GBLUP (WssGBLUP) using different panels of imputed variants. Best results were obtained using ssGBLUP with 50k genotypes and all variants on the QTL region of chromosome 19 (between 24.72 and 28.38Mb): +6.2% accuracy on average for all evaluated traits. The 50k chip update to which I participated represents a opportunity to improve genomic evaluations. Indeed, it significantly improved accuracy of predictions (between 3.1 and 6.4% on average depending on the scenario) while limiting computation time associated to imputation. This work confirms the benefits of using sequence data in the French dairy goats breeding programs and opens up the perspective of integrating them in the routine genomic evaluations
Nooriafshar, Mehryar. "Balancing the Use of Technology and Traditional Approaches in TeachingMathematics within Business Courses." Proceedings of the tenth International Conference Models in Developing Mathematics Education. - Dresden : Hochschule für Technik und Wirtschaft, 2009. - S. 450 - 453, 2012. https://slub.qucosa.de/id/qucosa%3A1795.
Full textWengert, Christian. "Quantitative endoscopy /." Konstanz : Hartung-Gorre Verlag, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17686.
Full textFaustino, Rui Alexandre Rodrigues Veloso. "Quantitative easing." Master's thesis, NSBE - UNL, 2012. http://hdl.handle.net/10362/9552.
Full textSince November 2008, the Federal Reserve of the United States pursued a series of large-scale asset purchases, known as Quantitative Easing. In this Work Project, I describe the context, the objectives and the implementation of the Quantitative Easing. Additionally, I discuss its expected effects. Finally, I present empirical evidence of the effects on interest rates, output and inflation. I conclude that the first round of purchases was effective on preventing deflation and depression while the second had a small impact on economy.
Cleary, Maryanne Viola. "Quantitative HPTLC." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-07112009-040558/.
Full textBooks on the topic "Quantitavie"
Essentials of quantitative analysis. New York: McGraw-Hill Book Co., 1987.
Find full textAlekseev, V. Quantitative analysis. 2nd ed. Moscow: Mir, 1985.
Find full textDowning, Douglas. Quantitative methods. New York: Barron's, 1988.
Find full textHackett, Graham. Quantitative methods. London: Open Learning Foundation, 1994.
Find full textPardoe, K. Quantitative methods. 6th ed. [London]: CIMA, 1999.
Find full textFrederick, Erickson, and American Educational Research Association, eds. Quantitative methods. New York: Macmillan, 1990.
Find full textHediger, Hans Jörg. Quantitative Spektroskopie. Heidelberg: A. Hüthig, 1985.
Find full text1943-, Richards Paul G., ed. Quantitative seismology. 2nd ed. Sausalito, Calif: University Science Books, 2002.
Find full textQuantitative ecotoxicology. 2nd ed. Boca Raton, FL: Taylor & Francis, 2012.
Find full textTerry, Hector, Rowell Fred, James A. M. 1923-, and ACOL (Project), eds. Quantitative bioassay. Chichester: Published on behalf of ACOL, Thames Polytechnic, London, by Wiley, 1987.
Find full textBook chapters on the topic "Quantitavie"
Schumacher, Mareike K. "Diachrone Entwicklung der Bedeutung von Raum in literarischen Texten." In Orte und Räume im Roman, 207–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66035-5_9.
Full textGuénet, Jean-Louis, Fernando Benavides, Jean-Jacques Panthier, and Xavier Montagutelli. "Quantitative Traits and Quantitative Genetics." In Genetics of the Mouse, 361–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44287-6_10.
Full textSchöch, Christof. "Quantitative Analyse." In Digital Humanities, 279–98. Stuttgart: J.B. Metzler, 2017. http://dx.doi.org/10.1007/978-3-476-05446-3_20.
Full textMeyerson, Émile. "The Quantitative." In The Relativistic Deduction, 8–17. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5211-9_2.
Full textBüsch, Mario. "Quantitative Einkaufsanalyse." In Fahrplan zur Transformation des Einkaufs, 45–54. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25637-1_3.
Full textEchterhoff, Gerald. "Quantitative Erhebungsmethoden." In Springer-Lehrbuch, 55–114. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_2.
Full textHussy, Walter. "Quantitative Forschungsmethoden." In Springer-Lehrbuch, 115–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_3.
Full textEchterhoff, Gerald. "Quantitative Auswertungsmethoden." In Springer-Lehrbuch, 165–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-34362-9_4.
Full textWerners, Brigitte. "Quantitative Entscheidungsunterstützung." In Springer-Lehrbuch, 1–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40102-2_1.
Full textFlood, Robert L., and Ewart R. Carson. "Quantitative Cybernetics." In Dealing with Complexity, 225–33. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4757-2235-2_9.
Full textConference papers on the topic "Quantitavie"
Mnif, M., and C. Muller-Schloer. "Quantitative Emergence." In 2006 IEEE Mountain Workshop on Adaptive and Learning Systems. IEEE, 2006. http://dx.doi.org/10.1109/smcals.2006.250695.
Full textRuhe, Günther, Armin Eberlein, and Dietmar Pfahl. "Quantitative WinWin." In the 14th international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/568760.568789.
Full textKwiatkowska, Marta. "Quantitative verification." In The 6th Joint Meeting. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1295014.1295018.
Full textKwiatkowska, Marta. "Quantitative verification." In the the 6th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1287624.1287688.
Full textBohnenkamp, Henrik, and Mariëlle Stoelinga. "Quantitative testing." In the 7th ACM international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1450058.1450089.
Full textHsieh, Jiang, Yasuhiro Imai, and Priti Madhav. "Quantitative Imaging with Dual-energy CT." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.1.
Full textLee, Ting-Yim. "Quantitative Functional Imaging using CT Perfusion: Applications of the Johnson-Wilson model." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.2.
Full textReeves, Anthony P. "A Development Methodology for Automated Measurement of Quantitative Image Biomarkers: Analysis of Chest CT Images." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.3.
Full textMendonça, Paulo R. S., and Peter Lamb. "Beyond “Dual”: Multi-Material Decomposition of Spectral CT Images." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu1g.4.
Full textRathi, Yogesh, M. E. Shenton, and C.-F. Westin. "Diffusion imaging based markers of abnormal brain tissue." In Quantitative Medical Imaging. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qmi.2013.qtu2g.1.
Full textReports on the topic "Quantitavie"
Redding, Stephen, and Esteban Rossi-Hansberg. Quantitative Spatial Economics. Cambridge, MA: National Bureau of Economic Research, September 2016. http://dx.doi.org/10.3386/w22655.
Full textSpence, John. Quantitative Electron Nanodiffraction. Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1168970.
Full textDevine, G., D. Dobie, J. Fugina, J. Hernandez, C. Logan, P. Mohr, R. Moss, B. Schumacher, E. Updike, and D. Weirup. Quantitative film radiography. Office of Scientific and Technical Information (OSTI), February 1991. http://dx.doi.org/10.2172/6106663.
Full textHelms, J. Quantitative Risk Analysis. Office of Scientific and Technical Information (OSTI), February 2017. http://dx.doi.org/10.2172/1345342.
Full textMuna, Alice Baca, Brian David Ehrhart, Ethan Hecht, Gabriela A. Bran Anleu, Myra L. Blaylock, and Chris Bensdotter LaFleur. Hydrogen Quantitative Risk Assessment. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1481561.
Full textNilchiani, Roshanak, Stan Rifkin, Ali Mostashari, Walt Bryzik, and Gary Witus. Quantitative Risk - Phase 1. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada605851.
Full textNilchiani, Roshanak, Stan Rifkin, Ali Mostashari, Walt Bryzik, and Gary Witus. Quantitative Risk - Phase 1. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada605887.
Full textMorton, Sally C., M. Hassan Murad, Elizabeth O'Connor, Christopher S. Lee, Marika Booth, Benjamin W. Vandermeer, Jonathan M. Snowden, et al. Quantitative Synthesis--An Update. Agency for Healthcare Research and Quality (AHRQ), February 2018. http://dx.doi.org/10.23970/ahrqepcmethguide3.
Full textOssa, Ralph. Quantitative Models of Commercial Policy. Cambridge, MA: National Bureau of Economic Research, March 2016. http://dx.doi.org/10.3386/w22062.
Full textWoodford, Michael. Quantitative Easing and Financial Stability. Cambridge, MA: National Bureau of Economic Research, May 2016. http://dx.doi.org/10.3386/w22285.
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