Academic literature on the topic 'CGH'
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Journal articles on the topic "CGH"
Caliebe, A., K. Platzer, L. Argyriou, S. Bens, Y. Hellenbroich, N. Husemeyer, I. Nagel, et al. "Array-CGH." medizinische genetik 24, no. 2 (June 2012): 99–107. http://dx.doi.org/10.1007/s11825-012-0330-3.
Full textAutio, R., S. Hautaniemi, P. Kauraniemi, O. Yli-Harja, J. Astola, M. Wolf, and A. Kallioniemi. "CGH-Plotter: MATLAB toolbox for CGH-data analysis." Bioinformatics 19, no. 13 (September 1, 2003): 1714–15. http://dx.doi.org/10.1093/bioinformatics/btg230.
Full textSifre, Vicente, Carme Soler, Sergi Segarra, José Ignacio Redondo, Luis Doménech, Amadeo Ten-Esteve, Laura Vilalta, Luis Pardo-Marín, and Claudio Iván Serra. "Improved Joint Health Following Oral Administration of Glycosaminoglycans with Native Type II Collagen in a Rabbit Model of Osteoarthritis." Animals 12, no. 11 (May 30, 2022): 1401. http://dx.doi.org/10.3390/ani12111401.
Full textFarmer, Peter K., Suzanne J. Snodgrass, Anthony J. Buxton, and Darren A. Rivett. "An Investigation of Cervical Spinal Posture in Cervicogenic Headache." Physical Therapy 95, no. 2 (February 1, 2015): 212–22. http://dx.doi.org/10.2522/ptj.20140073.
Full textBejjani, Bassem A., and Lisa G. Shaffer. "Targeted Array CGH." Journal of Molecular Diagnostics 8, no. 5 (November 2006): 537–39. http://dx.doi.org/10.1016/s1525-1578(10)60341-8.
Full textLingjaerde, O. C., L. O. Baumbusch, K. Liestol, I. K. Glad, and A. L. Borresen-Dale. "CGH-Explorer: a program for analysis of array-CGH data." Bioinformatics 21, no. 6 (November 5, 2004): 821–22. http://dx.doi.org/10.1093/bioinformatics/bti113.
Full textSudar, Damir, Lucas van Vliet, Steve Clark, Rick Segraves, Stephen Lockett, Donna Albertson, Joe Gray, and Pinkel Daniel. "Design of a Wide Field High Sensitivity Imaging System for Quantitative Analysis of CGHA Micro-Arrays." Microscopy and Microanalysis 3, S2 (August 1997): 811–12. http://dx.doi.org/10.1017/s1431927600010941.
Full textSze, Jyh Rou, and An Chi Wei. "Development of a Computer Generation Holography for Generating Square Matrix Light Spots Applied to the Laser Patterning System." Key Engineering Materials 656-657 (July 2015): 509–14. http://dx.doi.org/10.4028/www.scientific.net/kem.656-657.509.
Full textZhang, Yixin, Mingkun Zhang, Kexuan Liu, Zehao He, and Liangcai Cao. "Progress of the Computer-Generated Holography Based on Deep Learning." Applied Sciences 12, no. 17 (August 26, 2022): 8568. http://dx.doi.org/10.3390/app12178568.
Full textDietzel, Matthias, Clemens Kaiser, Katja Pinker, Evelyn Wenkel, Matthias Hammon, Michael Uder, Barbara Bennani Baiti, Paola Clauser, Rüdiger Schulz-Wendtland, and Pascal Baltzer. "Automated Semi-Quantitative Analysis of Breast MRI: Potential Imaging Biomarker for the Prediction of Tissue Response to Neoadjuvant Chemotherapy." Breast Care 12, no. 4 (2017): 231–36. http://dx.doi.org/10.1159/000480226.
Full textDissertations / Theses on the topic "CGH"
Frater, Eric, and Eric Frater. "Optical Alignment with CGH Phase References." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621452.
Full textPaiva, Greicy Helen Gambarini [UNESP]. "Genes candidatos a marcadores tumorais na progressão do adenocarcinoma de próstata indentificados por análise de HR-CGH e CGH-ARRAY." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/102718.
Full textFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
O câncer de próstata (CaP) é a neoplasia mais comumente diagnosticada entre homens no ocidente. Embora tratamentos efetivos para a doença localizada estejam disponíveis atualmente, não há terapia curativa para tumores metastáticos. Além disso, os marcadores diagnósticos utilizados na clínica não conseguem discriminar totalmente a evolução diferencial da doença. Desta forma, o conhecimento das diferenças biológicas entre tumores primários confinados ao órgão e metástases é essencial para o desenvolvimento de novos marcadores e identificação de alvos terapêuticos. Neste estudo a análise baseada na metodologia de HR-CGH cromossômico foi realizada para identificar alterações de ganhos e perdas genômicas em três grupos de amostras: o grupo I, que compreende amostras pareadas de tumor primário e respectivas metástases (11 casos); o grupo II, constituído de pacientes que apresentaram seguimento clínico favorável por mais de 10 anos (5 casos); e o grupo III, constituído por diferentes biópsias do mesmo paciente (5 pacientes com 2 biópsias cada). As amostras foram microdissecadas (amostras a fresco: a partir de lâminas de referência; em blocos de parafina: a laser) e após a obtenção de DNA foram amplificadas (amostras de arquivo: PCR-SCOMP) ou marcadas por nick-translation para a realização de HR-CGH. Os resultados de HR-CGH foram comparados com os dados obtidos da análise de CGH-array num subgrupo de amostras e revelaram concordâncias significativas. Os resultados obtidos na presente investigação revelaram perdas dos cromossomos 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q e 22q em 80% dos casos avaliados. Além disso, perdas em 17q11.2-25, por exemplo, foram detectadas exclusivamente nos tumores do grupo I e nas suas metástases, e não nos tumores do grupo II, sugerindo que esta alteração deve ser importante...
Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous malignancy and the second leading cause of cancer mortality in men from Occident. Although effective treatments for the localized disease are available, there is no efficient therapy for metastatic tumors. Additionally, clinical diagnostic markers are not able to completely discriminate the differential evolution of the disease. The knowledge of biological differences between localized primary tumors and metastasis can establish new molecular markers and therapeutic targets. In this study, an analysis based on HR-CGH methodology was performed to identify imbalances genomic in three groups of samples: group I, paired samples of primary tumors and its metastasis (11 cases); group II, patients that exhibited favorable follow-up over 10 years (5 cases); and group III, different biopsies from the same patient (5 patients with 2 biopsies each). The tumor samples were submitted to microdissection procedures (fresh samples: from reference slides; paraffin embedded samples: laser), DNA extracted and amplified (archive sample: PCR-SCOMP) or labeled by nick-translation to HR-CGH. The HRCGH results were compared with data obtained from CGH-array analysis of a subgroup of samples and revealed significant concordances. In the present investigation, there were observed losses on chromosomes 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q and 22q in 80% of the cases. Losses in 17q11.2-25, for instance, were detected exclusively in tumor from group I and its metastasis, but were not found in tumors from group II, suggesting that this alteration must be important in the progression of the disease. Five genes were selected after the comparison between the HR-CGH and CGH-array data. The tumor suppressor genes ARID1A, MTSS1, NME1 and S100A4 and TOP2A (oncogenes) were evaluated by quantitative real time... (Complete abstract click electronic access below)
Paiva, Greicy Helen Gambarini. "Genes candidatos a marcadores tumorais na progressão do adenocarcinoma de próstata indentificados por análise de HR-CGH e CGH-ARRAY." Botucatu : [s.n.], 2009. http://hdl.handle.net/11449/102718.
Full textBanca: Spencer L. M. Payão
Banca: Carla Rosemberg
Banca: José Carlos de S. Trindade
Banca: Maria Aparecida M. Rodrigues
Resumo: O câncer de próstata (CaP) é a neoplasia mais comumente diagnosticada entre homens no ocidente. Embora tratamentos efetivos para a doença localizada estejam disponíveis atualmente, não há terapia curativa para tumores metastáticos. Além disso, os marcadores diagnósticos utilizados na clínica não conseguem discriminar totalmente a evolução diferencial da doença. Desta forma, o conhecimento das diferenças biológicas entre tumores primários confinados ao órgão e metástases é essencial para o desenvolvimento de novos marcadores e identificação de alvos terapêuticos. Neste estudo a análise baseada na metodologia de HR-CGH cromossômico foi realizada para identificar alterações de ganhos e perdas genômicas em três grupos de amostras: o grupo I, que compreende amostras pareadas de tumor primário e respectivas metástases (11 casos); o grupo II, constituído de pacientes que apresentaram seguimento clínico favorável por mais de 10 anos (5 casos); e o grupo III, constituído por diferentes biópsias do mesmo paciente (5 pacientes com 2 biópsias cada). As amostras foram microdissecadas (amostras a fresco: a partir de lâminas de referência; em blocos de parafina: a laser) e após a obtenção de DNA foram amplificadas (amostras de arquivo: PCR-SCOMP) ou marcadas por nick-translation para a realização de HR-CGH. Os resultados de HR-CGH foram comparados com os dados obtidos da análise de CGH-array num subgrupo de amostras e revelaram concordâncias significativas. Os resultados obtidos na presente investigação revelaram perdas dos cromossomos 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q e 22q em 80% dos casos avaliados. Além disso, perdas em 17q11.2-25, por exemplo, foram detectadas exclusivamente nos tumores do grupo I e nas suas metástases, e não nos tumores do grupo II, sugerindo que esta alteração deve ser importante... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Prostate cancer (PCa) is the most commonly diagnosed non-cutaneous malignancy and the second leading cause of cancer mortality in men from Occident. Although effective treatments for the localized disease are available, there is no efficient therapy for metastatic tumors. Additionally, clinical diagnostic markers are not able to completely discriminate the differential evolution of the disease. The knowledge of biological differences between localized primary tumors and metastasis can establish new molecular markers and therapeutic targets. In this study, an analysis based on HR-CGH methodology was performed to identify imbalances genomic in three groups of samples: group I, paired samples of primary tumors and its metastasis (11 cases); group II, patients that exhibited favorable follow-up over 10 years (5 cases); and group III, different biopsies from the same patient (5 patients with 2 biopsies each). The tumor samples were submitted to microdissection procedures (fresh samples: from reference slides; paraffin embedded samples: laser), DNA extracted and amplified (archive sample: PCR-SCOMP) or labeled by nick-translation to HR-CGH. The HRCGH results were compared with data obtained from CGH-array analysis of a subgroup of samples and revealed significant concordances. In the present investigation, there were observed losses on chromosomes 1p, 2, 3q, 4p, 5q, 7, 8, 9q, 10q, 11q, 12q, 14q, 15q, 16q, 17q, 18q, 19, 20q and 22q in 80% of the cases. Losses in 17q11.2-25, for instance, were detected exclusively in tumor from group I and its metastasis, but were not found in tumors from group II, suggesting that this alteration must be important in the progression of the disease. Five genes were selected after the comparison between the HR-CGH and CGH-array data. The tumor suppressor genes ARID1A, MTSS1, NME1 and S100A4 and TOP2A (oncogenes) were evaluated by quantitative real time... (Complete abstract click electronic access below)
Doutor
Shah, Sohrab P. "Model based approaches to array CGH data analysis." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2808.
Full textGhaffari, Saeed R. "Development and application of comparative genomic hybridisation (CGH)." Thesis, University of Glasgow, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390763.
Full textMohrmann, Inga [Verfasser]. "Array-CGH bei Patienten mit Intelligenzminderung / Inga Mohrmann." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/1046429280/34.
Full textLee, Sansan. "Genetic counseling perspectives on prenatal array CGH testing." Waltham, Mass. : Brandeis University, 2009. http://dcoll.brandeis.edu/handle/10192/23259.
Full textGamero, Angel Mauricio Castro. "Desequilíbrios cromossômicos em nove casos de osteossarcoma detectados através de hibridação genômica comparativa (CGH)." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/17/17135/tde-22042013-095920/.
Full textOsteosarcoma (OS) is the most frequent aggressive bone malignancy affecting children and young adults with an event-free survival of 50-70% after 3 years. The incidence peak occurs during the second decade of life, suggesting a relationship between rapid bone growth and the development of this tumor. The knowledge of the genetic basis behind tumor progression is still limited. Conventional cytogenetic studies have demonstrated that OS exhibits high cariotipic heterogeneity, with different degrees of aneuploidy and complex structural rearrangements. The CGH is an important tool for studying the genomic profiles of solid tumors, and has confirmed the complexity of cariotipic alterations in OS. However, previous studies have shown divergent results and few have correlated them with tumor progression. The objective of present study was to identify chromosome unbalances in nine samples of OS by CGH. 3 biopsies, 5 resections before quimioterapy and 1 metastasis were analyzed. The experiments were performed accordingly with Kallioniemi et al (1994). CGH detected chromosomal imbalances in all samples. Gains were more frequent than losses. Many chromosomal alterations were observed, especially gains at 1q, xi2, 3p, 4, 5p, 6, 7, 8, 11p, 14q, 16, 21q and X; and losses at 1p, 2q, 3q, 5q, 9q, 11q and 17q. The minimal regions of superposition were gains of 2p13-p14, 2q36-q37, 4q21 and 8p22, and losses of 1p43.2, 3q22-q23 and 3q24. Three patients had consecutive samples, and the chromosomal alterations varied, reflecting the chromosomal heterogeneity for each case. The highest clonal divergence among the consecutive samples was observed between resection and the corresponding metastatic sample, showing the chromosomal complexity acquired during the progression and dissemination in this case. Additional investigations for the characterization of genes at these regions are necessary.
Herr, Alexander [Verfasser]. "Hochauflösende CGH mit Hilfe von DNS-Mikrorastern / Alexander Herr." Berlin : Freie Universität Berlin, 2005. http://d-nb.info/1021667471/34.
Full textMarioni, John Carlo. "Statistical methods for array CGH and copy number variation experiments." Thesis, University of Cambridge, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611877.
Full textBooks on the topic "CGH"
Palabra de CGH: El testimonio de los huelguistas. [México]: Ediciones del Milenio, 2000.
Find full textKim, Ho-jung. array-CGH rŭl iyong han piso sepʻo pʻyeam ŭi chogi chaebal pʻyojija mit chindan mohyŏng kaebal =: Development of early-recurrence detection marker and diagnostic model using array-CGH in NSCLC. [Seoul]: Pogŏn Pokchibu, 2007.
Find full textArnold, David B., and Peter R. Bono. CGM and CGI. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61378-4.
Full textAlheit, Bernd, Martin Göbel, Max Mehl, and Rolf Ziegler. CGI und CGM. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-06229-6.
Full textMcKay, Lucia. CGI/CGM primer. Austin, TX, USA (1515 Capital of Texas Highway S., Suite 300, Austin 78746): Nova Graphics International Corp., 1987.
Find full textB, Alheit, ed. CGI und CGM: Graphische Standards für die Praxis. Berlin: Springer, 1991.
Find full text1945-, Bono Peter R., ed. CGM and CGI: Metafile and interface standards for computer graphics. Berlin: Springer-Verlag, 1988.
Find full textEd, Tittel, ed. CGI bible. Foster City, CA: IDG Books Worldwide, 1996.
Find full textCGI/Perl. Boston: Course Technology, 2002.
Find full textPerpar-Prokić, Nada. Ceh: Roman. Beograd: Žagor, 2009.
Find full textBook chapters on the topic "CGH"
Liehr, Thomas, Anita Glaser, and Nadezda Kosyakova. "Comparative Genomic Hybridization (CGH) and Microdissection-Based CGH (Micro-CGH)." In Springer Protocols Handbooks, 561–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52959-1_54.
Full textArnemann, J. "Array-CGH." In Springer Reference Medizin, 206–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-48986-4_3439.
Full textCalistri, Daniele. "Array CGH." In Encyclopedia of Cancer, 1–3. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27841-9_401-2.
Full textArnemann, J. "Array-CGH." In Lexikon der Medizinischen Laboratoriumsdiagnostik, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-49054-9_3439-1.
Full textDimitriadou, Eftychia, and Joris R. Vermeesch. "Array CGH." In Springer Protocols Handbooks, 567–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52959-1_55.
Full textCalistri, Daniele. "Array CGH." In Encyclopedia of Cancer, 362–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46875-3_401.
Full textHenn, Traudl, and Oskar A. Haas. "Comparative Genomic Hybridisation (CGH)." In Diagnostic Cytogenetics, 376–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59918-7_21.
Full textKothmaier, Hannelore, Elvira Stacher, Iris Halbwedl, and Helmut H. Popper. "Comparative Genomic Hybridisation (CGH)." In Guidelines for Molecular Analysis in Archive Tissues, 203–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17890-0_32.
Full textSchwaenena, Carsten, Michelle Nesslinga, Bernhard Radlwimmera, Swen Wessendorf, and Peter Lichtera. "Applications of Matrix-CGH (Array-CGH) for Genomic Research and Clinical Diagnostics." In Biological and Medical Physics, Biomedical Engineering, 251–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-26578-3_12.
Full textMatsushima, Kyoji. "Fabrication of High-Definition CGH." In Series in Display Science and Technology, 395–441. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38435-7_15.
Full textConference papers on the topic "CGH"
Wang, Min, and Simon Thibault. "CGH null design and fabrication for CFH telescope simulator." In Optical Systems Design, edited by Roland Geyl, David Rimmer, and Lingli Wang. SPIE, 2004. http://dx.doi.org/10.1117/12.513382.
Full textMorris, James E., and Michael R. Feldman. "Dynamic optical interconnect systems." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.tuff7.
Full textLohmann, Adolf W., and Stefan Sinzinger. "Improvements of the graphic code of computer generated holograms." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.turr4.
Full textNakkar, Mouna, Jared Stack, W. Hudson Welch, and Michael R. Feldman. "Computer generated holograms for large deflection angle optical interconnects." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fp4.
Full textBurmeister, Frank, Sascha Ehrhardt, Tino Benkenstein, Tom Lammers, Antonia Klein, Philipp Schleicher, Thomas Flügel-Paul, et al. "CGH for ESO’s ELT M2 reference plate: fabrication of high precision CGHs." In Advances in Optical and Mechanical Technologies for Telescopes and Instrumentation IV, edited by Roland Geyl and Ramón Navarro. SPIE, 2020. http://dx.doi.org/10.1117/12.2562827.
Full textCederquist, J. N., J. R. Fienup, and A. M. Tai. "Cgh Fabrication Techniques And Facilities." In 1988 Los Angeles Symposium--O-E/LASE '88, edited by Sing H. Lee. SPIE, 1988. http://dx.doi.org/10.1117/12.944158.
Full textArima, Yasuaki, Kyoji Matsushima, and Sumio Nakahara. "Hybrid CGH by Digitized Holography: CGH for Mixed 3D Scene of Virtual and Real Objects." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2011. http://dx.doi.org/10.1364/dh.2011.dwc28.
Full textIkeda, Sukai, and Kyoji Matsushima. "Holographic 3D Portrait Created by Full-Parallax High-Definition Computer Holography and 3D Face Reconstruction." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/dh.2022.w2a.1.
Full text"ROBUSTNESS OF EXON CGH ARRAY DESIGNS." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003153201730182.
Full textKley, Ernst-Bernhard, Werner Rockstroh, Holger Schmidt, Andreas Drauschke, Frank Wyrowski, and Lars-Christian Wittig. "Investigation of large null-CGH realization." In International Symposium on Optical Science and Technology, edited by Ernst-Bernhard Kley and Hans Peter Herzig. SPIE, 2001. http://dx.doi.org/10.1117/12.448033.
Full textReports on the topic "CGH"
Cavalli, Luciane R. Detection of Genetic Alterations in Breast Sentinel Lymph Node by Array-CGH. Fort Belvoir, VA: Defense Technical Information Center, October 2005. http://dx.doi.org/10.21236/ada444833.
Full textCavalli, Luciane R. Detection of Genetic Alterations in Breast Sentinel Lymph Node by Array-CGH. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada460808.
Full textSeroussi, Eyal, and George Liu. Genome-Wide Association Study of Copy Number Variation and QTL for Economic Traits in Holstein Cattle. United States Department of Agriculture, September 2010. http://dx.doi.org/10.32747/2010.7593397.bard.
Full textGodwin, Andrew K. Identification of Candidate Breast Cancer Susceptibility Genes Using a cDNA Microarray/CGH Approach. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada408112.
Full textGodwin, Andrew K. Identification of Candidate Breast Cancer Susceptibility Genes Using a cDNA Microarray/CGH Approach. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada417397.
Full textBurton, Donald, Nathaniel Morgan, Theodore Carney, and Mark Kenamond. Reduction of dissipation in Lagrange cell-centered hydrodynamics (CCH) through corner gradient reconstruction (CGR). Office of Scientific and Technical Information (OSTI), January 2015. http://dx.doi.org/10.2172/1164015.
Full textMudge, Christopher, and Michael Netherland. Evaluation of new endothall and florpyrauxifen-benzyl use patterns for controlling crested floating heart and giant salvinia. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38859.
Full textSchoen, Robert C., Wendy S. Bray, Amanda M. Tazaz, and Charity K. Buntin. A Description of the Cognitively Guided Instruction Professional Development Program in Florida: 2013–2020. Florida State University Libraries, February 2022. http://dx.doi.org/10.33009/fsu.1643828800.
Full textСемеріков, Сергій Олексійович, and Ілля Олександрович Теплицький. Побудова найпростішої системи тестового контролю знань на основі Web-технологій. НПУ імені М. П. Драгоманова, 2004. http://dx.doi.org/10.31812/0564/799.
Full textFilippo, Agustín, and Carlos Guaipatín. Modelo de intervención en las cadenas globales de valor de las industrias pesadas y otros sectores estratégicos en México. Inter-American Development Bank, August 2021. http://dx.doi.org/10.18235/0003756.
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