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Статті в журналах з теми "Digital Chemistry"
Kurić, Lutvo. "Digital Chemistry." International Letters of Chemistry, Physics and Astronomy 33 (May 2014): 168–78. http://dx.doi.org/10.18052/www.scipress.com/ilcpa.33.168.
Повний текст джерелаKurić, Lutvo. "Digital Chemistry." International Letters of Chemistry, Physics and Astronomy 33 (May 11, 2014): 168–78. http://dx.doi.org/10.56431/p-f8aemk.
Повний текст джерелаLyu, Hao, Zhe Ji, Stefan Wuttke, and Omar M. Yaghi. "Digital Reticular Chemistry." Chem 6, no. 9 (September 2020): 2219–41. http://dx.doi.org/10.1016/j.chempr.2020.08.008.
Повний текст джерелаWitters, Daan, Bing Sun, Stefano Begolo, Jesus Rodriguez-Manzano, Whitney Robles, and Rustem F. Ismagilov. "Digital biology and chemistry." Lab on a Chip 14, no. 17 (June 2, 2014): 3225. http://dx.doi.org/10.1039/c4lc00248b.
Повний текст джерелаTähkä, Tiina. "Digital examinations in chemistry." Lumat: International Journal of Math, Science and Technology Education 1, no. 1 (January 30, 2013): 137–40. http://dx.doi.org/10.31129/lumat.v1i1.1130.
Повний текст джерелаZielinski, Theresa Julia. "Digital Learning in Physical Chemistry." Journal of Chemical Education 80, no. 10 (October 2003): 1220. http://dx.doi.org/10.1021/ed080p1220.1.
Повний текст джерелаSpinnen, Sebastian, and Michael W. Tausch. "Chem4Digit – Chemistry for Digital Logics." CHEMKON 25, no. 2 (March 7, 2018): 69–73. http://dx.doi.org/10.1002/ckon.201800008.
Повний текст джерелаGilson, Michael K., Gunda Georg, and Shaomeng Wang. "Digital Chemistry in the Journal of Medicinal Chemistry." Journal of Medicinal Chemistry 57, no. 4 (February 12, 2014): 1137. http://dx.doi.org/10.1021/jm5002056.
Повний текст джерелаSmolenskii, E. A., I. V. Chuvaeva, and A. L. Lapidus. "Digital chemistry: Molecular numbers and digital indices of chemical reactions." Doklady Chemistry 437, no. 2 (April 2011): 116–19. http://dx.doi.org/10.1134/s0012500811040100.
Повний текст джерелаClark, Timothy, and Martin G. Hicks. "Models of necessity." Beilstein Journal of Organic Chemistry 16 (July 13, 2020): 1649–61. http://dx.doi.org/10.3762/bjoc.16.137.
Повний текст джерелаДисертації з теми "Digital Chemistry"
Miranda, Nilson Fonseca. "Digital technologies in Teaching Chemistry." Universidade Federal do CearÃ, 2007. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=20173.
Повний текст джерелаThis work analyzes the speech of the Chemistry professors of Universidade Federal do Piauà about the use of digital technologies, educational sites and softwares, conceived as tools applied to the teaching of Chemistry. It also analyzes the usage of softwares in the classroom: Spartan; origin; organic Chemistry II and the sites: nautilus; chemkeys; ucs; qmc.ufsc and quark. The main goal is to verify how the use of such tools contribute pedagogically to the teaching/learning in the area of Chemistry. The theoretical contribution used supports that the digital technologies themselves donât stablish nor catalyze the changes on the pedagogical practice, but the way which it is conceived by the teacher and the way it is used at the teaching system, intensifies the development of successive innovations and later change in the posterior change in the educational paradigm. As for the development of this research a qualitative methodology was used in order to make the search of chemical knowledge possible bearing in mind that this production also comes from the exchange, the socialization, sometimes conflicting, that the different agents involved promote when theyâre facing and representing their realities, completing them with various definitions. In this sense, (a) the speech of the teachers obtained through interviews, (b) the data about educational sites and softwares used on the chemistry teaching obtained through a grid of analysis produced for this purpose have been analyzed. The result of the collected data analysis aims at some positive reasons that justify the use of digital technologies on the Chemistry teaching: quickness and efficiency in the obtainment of information; access to new acquirements and higher agility at learning. Besides, it makes the simulation through virtual experiments possible, gives the opportunity to teachers and students to acquire modern information and possibilities of access to new acquirements.
Este trabalho analisa o discurso dos professores de quÃmica da Universidade Federal do Piauà acerca do uso das tecnologias digitais, sites e softwares educativos, concebidas como ferramentas aplicadas ao ensino de quÃmica. Analisa tambÃm a forma de utilizaÃÃo na sala de aula dos softwares: spartan; origin; quÃmica orgÃnica II e dos sites: nautilus; chemkeys; ucs; qmc.ufsc e quark. O objetivo fundamental à verificar como o uso dessas ferramentas contribui pedagogicamente para o processo de ensino/aprendizagem na Ãrea da quÃmica. O aporte teÃrico utilizado sustenta que as tecnologias digitais por si sà nÃo estabelece, nem catalisa mudanÃas na prÃtica pedagÃgica, mas a forma como à concebida pelo professor e utilizada no sistema de ensino, potencializa a eclosÃo de sucessivas inovaÃÃes e posterior mudanÃa no paradigma educacional. Para o desenvolvimento desta pesquisa foi utilizada uma metodologia qualitativa a fim de possibilitar a busca do conhecimento quÃmico compreendendo que essa produÃÃo tambÃm se elabora na troca, na socializaÃÃo, Ãs vezes conflituosas, que os diferentes atores envolvidos promovem ao enfrentarem e representarem suas realidades, preenchendo-as de significaÃÃes diversas. Neste sentido, foram analisados: (a) o discurso dos professores obtido atravÃs de entrevista; (b) os dados sobre sites e softwares educativos utilizados no ensino de quÃmica obtidos atravÃs de uma grade de anÃlise produzida para esta finalidade. O resultado da anÃlise dos dados gerados aponta para algumas razÃes positivas que justificam a utilizaÃÃo das tecnologias digitais no ensino de quÃmica: rapidez e eficiÃncia na obtenÃÃo de informaÃÃes; acesso a novos conhecimentos e maior agilidade no aprendizado. AlÃm disso, possibilita fazer simulaÃÃo mediante experimentos virtuais, oportunizando professores e alunos a adquirirem informaÃÃes recentes e possibilidades de acesso a novos conhecimentos.
Pollum, Laura L. "Digital ion trap mass spectrometry for cold ion-molecule chemistry." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:18c6451d-d247-4384-9257-f8864e038343.
Повний текст джерелаAmoateng, Catherine. "Inorganic Quantitative Analysis Experiment Through Digital Microscopy Detection of Precipitates." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1610121740855271.
Повний текст джерелаWilloughby, Cerys. "Asking the right questions : designing digital tools to support researchers recording scientific experiments." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/384916/.
Повний текст джерелаSwartz, Clinton Keith. "Digital data collection and analysis: what are the effects on students' understanding of chemistry concepts." Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/swartz/SwartzC0812.pdf.
Повний текст джерелаLuo, Yuanyuan. "Synthesis and Characterization of Poly(Propylene Fumarate) Oligomers via a Chain-Growth Mechanism for Continuous Digital Light Processing (CDLP)." University of Akron / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=akron1427910816.
Повний текст джерелаAndersson, Ida. "Hur har digitaliseringen i skolan förändrat kemiundervisningen i årskurs 7-9? : En jämförelse mellan forskning och praktik." Thesis, Mittuniversitetet, Avdelningen för ämnesdidaktik och matematik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-32810.
Повний текст джерелаSun, Mingze. "Digital Light Processing 3D Printing of Reconfigurable Reprintable Ion-crosslinked Shape Memory Polymer." University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1629912593189792.
Повний текст джерелаFredriksson, Mattias. "Efficient algorithms for highly automated evaluation of liquid chromatography - mass spectrometry data." Doctoral thesis, Mittuniversitetet, Institutionen för naturvetenskap, teknik och matematik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-12991.
Повний текст джерелаDe analysinstrument som används för att ta reda på vad ett prov innehåller(och till vilken mängd) måste vanligtvis ställas in för det specifika fallet, för attfungera optimalt. Det finns ofta en mängd olika variabler att undersöka som harmer eller mindre inverkan på resultatet och när provet är okänt kan man oftast inteförutspå de optimala inställningarna i förtid.En vätskekromatograf med en masspektrometer som detektor är ett sådantinstrument som är utvecklat för att separera och identifiera organiska ämnen lösta ivätska. Med detta mycket potenta system kan man ofta med rätt inställningar delaupp de ingående ämnena i provet var för sig och samtidigt erhålla mått som kanrelateras till dess massa och mängd. Detta system används flitigt av analytiskalaboratorer inom bl.a. läkemedelsindustrin för att undersöka stabilitet och renhethos potentiella läkemedel. För att optimera instrumentet för det okända provetkrävs dock att en hel del försök utförs där inställningarna varieras. Syftet är attmed en mindre mängd designade försök bygga en modell som klarar av att peka åtvilket håll de optimala inställningarna finns. Data som genereras från instrumentetför denna typ av applikation är i matrisform då instrumentet scannar och spararintensiteten av ett intervall av massor varje tidpunkt en mätning sker. Om enanalyt når detektorn vid aktuell tidpunkt återges det som en eller flera överlagdanormalfördelade toppar som ett specifikt mönster på en annars oregelbundenbakgrundssignal. Förutom att alla topparna i det färdiga datasetet helst ska varavälseparerade och ha den rätta formen, så ska tiden analysen pågår vara så kortsom möjlig. Det är ändå inte ovanligt att ett färdigt dataset består av tiotalsmiljoner uppmätta intensiteter och att det kan krävas runt 10 försök med olikabetingelser för att åstadkomma ett godtagbart resultat.Dataseten kan dock till mycket stor del innehålla brus och andra störandesignaler vilket gör de extra krångligt att tolka och utvärdera. Eftersom man ävenofta får att komponenterna byter plats i ett dataset när betingelserna ändras kan enmanuell utvärdering ta mycket lång tid.Syftet med denna avhandling har varit att hitta metoder som kan vara till nyttaför den som snabbt och automatiskt behöver jämföra dataset analyserade medolika kromatografiska betingelser, men med samma prov. Det slutgiltiga målet harfrämst varit att identifiera hur olika komponenter i provet har rört sig mellan deolika dataseten, men de steg som ingår kan även nyttjas till andra applikationer.
Meng, Kejie. "MECHANISTIC STUDIES OF PROTON-COUPLED ELECTRON TRANSFER REACTIONS INVOLVING ANTIOXIDANTS." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5498.
Повний текст джерелаКниги з теми "Digital Chemistry"
The chemistry of photography: From classical to digital technologies. Cambridge, UK: Royal Society of Chemistry, 2007.
Знайти повний текст джерелаW, Moore John, Robert E. Belford, and Harry E. Pence. Enhancing learning with online resources, social networking, and digital libraries. Edited by American Chemical Society. Division of Chemical Education. Washington, DC: American Chemical Society, 2010.
Знайти повний текст джерелаJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 2nd ed. Berlin: London, 1993.
Знайти повний текст джерелаDigital image processing: Concepts, algorithms, and scientific applications. 3rd ed. Berlin: London, 1995.
Знайти повний текст джерелаJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Berlin: Springer-Verlag, 1991.
Знайти повний текст джерелаJähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 6th ed. Berlin: Springer, 2005.
Знайти повний текст джерелаSerebryakov, Andrey, Tat'yana Smirnova, Valentina Mercheva, and Elena Soboleva. Chemistry of combustible minerals. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1041945.
Повний текст джерелаOvidio, Salvetti, and SpringerLink (Online service), eds. Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry: International Conferences MDA 2006/2007, Leipzig, Germany, July 18, 2007. Selected Papers. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2007.
Знайти повний текст джерелаPetra, Perner, Salvetti Ovidio, Siekmann Jörg H, and SpringerLink (Online service), eds. Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry: Third International Conference, MDA 2008 Leipzig, Germany, July 14, 2008 Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
Знайти повний текст джерелаHau-San, Wong, and Guan Ling, eds. Adaptive image processing: A computational intelligence perspective. Boca Raton, FL: CRC Press, 2002.
Знайти повний текст джерелаЧастини книг з теми "Digital Chemistry"
Hoai, Vu Thi Thu, and Vu Thu Trang. "Building and Using Virtual Chemical Labs in High School Chemistry Teaching." In Digital Education Pedagogy, 175–202. Includes bibliographical references and index.: Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003009214-7.
Повний текст джерелаMinh Trang, Vu, Bui Thi Thanh Huong, Lai Phuong Lien, and Nguyen Quang Ngoc. "Application of ArcGIS StoryMaps in Teaching Chemistry." In Digital Education for the 21st Century, 399–429. Boca Raton: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003180517-16.
Повний текст джерелаVan Dyke, Aaron R. "Practical Considerations for Advancing Undergraduate Digital Literacy through Digital Laboratory Notebooks." In Technology Integration in Chemistry Education and Research (TICER), 107–18. Washington, DC: American Chemical Society, 2019. http://dx.doi.org/10.1021/bk-2019-1318.ch007.
Повний текст джерелаHoai, Vu Thi Thu, and Pham Thi Kim Giang. "Using Kotobee E-Book Design and Software Use in Teaching Chemistry in High Schools." In Digital Education Pedagogy, 133–54. Includes bibliographical references and index.: Apple Academic Press, 2020. http://dx.doi.org/10.1201/9781003009214-5.
Повний текст джерелаBellou, Ioanna, Nikiforos M. Papachristos, and Tassos A. Mikropoulos. "Digital Learning Technologies in Chemistry Education: A Review." In Digital Technologies: Sustainable Innovations for Improving Teaching and Learning, 57–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73417-0_4.
Повний текст джерелаVan Duzor, Matthew W., and Jonathan C. Rienstra-Kiracofe. "The Next Generation Digital Learning Environment for Chemistry." In Technology Integration in Chemistry Education and Research (TICER), 247–67. Washington, DC: American Chemical Society, 2019. http://dx.doi.org/10.1021/bk-2019-1318.ch016.
Повний текст джерелаMojarad, Sarah. "The Future of Chemistry Communication Is Digital: Overcoming Hesitancies for Online Engagement." In Communication in Chemistry, 243–62. Washington, DC: American Chemical Society, 2019. http://dx.doi.org/10.1021/bk-2019-1327.ch017.
Повний текст джерелаZielinski, Theresa Julia. "Physical Chemistry Curriculum: Into the Future with Digital Technology." In ACS Symposium Series, 177–93. Washington, DC: American Chemical Society, 2007. http://dx.doi.org/10.1021/bk-2008-0973.ch010.
Повний текст джерелаPecoraro, S. "CHAPTER 5. Digital Polymerase Chain Reaction (dPCR) – General Aspects and Applications." In Food Chemistry, Function and Analysis, 63–69. Cambridge: Royal Society of Chemistry, 2019. http://dx.doi.org/10.1039/9781788016025-00063.
Повний текст джерелаEngblom, Sten O., Mikael Wasberg, Johan Bobacka, and Ari Ivaska. "Experiences of an On-Line Fourier Transform Faradaic Admittance Measurement (FT-FAM) System Based on Digital Signal Processors." In Contemporary Electroanalytical Chemistry, 21–29. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-3704-9_4.
Повний текст джерелаТези доповідей конференцій з теми "Digital Chemistry"
Handayani, Dewi. "ORGANIC CHEMISTRY 1 DIGITAL BOOK." In International Symposium on Open, Distance, and E-Learning. Pustekkom, 2018. http://dx.doi.org/10.32550/pi.v1i1.24.
Повний текст джерелаBoonpotjanawetchakit, Paiboon, Kansinee Kaweerat, and Sirion Vittayakorn. "Elemem: Interactive Digital Card Game for Chemistry." In 2020 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2020. http://dx.doi.org/10.1109/educon45650.2020.9125339.
Повний текст джерелаDjezzar, Nedjma, Noureddine Djedi, Sylvain Cussat-Blanc, Herve Luga, and Yves Duthen. "L-systems and artificial chemistry to develop digital organisms." In 2011 Ieee Symposium On Artificial Life - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/alife.2011.5954665.
Повний текст джерелаLovell, John R., Omar Kulbrandstad, Sai Madem, and Daniel Meza. "Real-Time Digital Chemistry Offshore Transforms Flow Assurance Management." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31121-ms.
Повний текст джерелаSangur, Kristin, and Dominggus Rumahlatu. "PjBL-HOTS: Integration of learning in improving critical thinking and digital literacy of biology education students." In 1ST INTERNATIONAL SEMINAR ON CHEMISTRY AND CHEMISTRY EDUCATION (1st ISCCE-2021). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0110304.
Повний текст джерелаSaksrisathaporn, Krittiya, and Patcharaphon Sribunthankul. "A SMARTPHONE GAME TO PROMOTE SELF-LEARNING IN CHEMISTRY." In International Conference Cognition and Exploratory Learning in Digital Age 2019. IADIS Press, 2019. http://dx.doi.org/10.33965/celda2019_201911l043.
Повний текст джерелаMirza, Imran Saeed, Pruk Sasithong, Siwanart Jearavingtakul, Nithinun Sinpan, Panithan Le-aidee, Sushank Chaudhary, Lunchakorn Wuttisittikulkij, et al. "Reconstruction of Digital Chemistry Lab by Incorporating Virtual Reality Platform." In 2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC). IEEE, 2022. http://dx.doi.org/10.1109/itc-cscc55581.2022.9895095.
Повний текст джерелаChoudhury, Sagnik Ray, Suppawong Tuarob, Prasenjit Mitra, Lior Rokach, Andi Kirk, Silvia Szep, Donald Pellegrino, Sue Jones, and Clyde Lee Giles. "A figure search engine architecture for a chemistry digital library." In the 13th ACM/IEEE-CS joint conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2467696.2467757.
Повний текст джерелаBatista, Andre, Rodrigo Martins, and Joubert Lellis. "GAME-BASED CONSTRUCTION LEARNING - CREATING DIGITAL GAMES FOR CHEMISTRY EDUCATION." In 12th annual International Conference of Education, Research and Innovation. IATED, 2019. http://dx.doi.org/10.21125/iceri.2019.1096.
Повний текст джерелаDiaz, E., and J. Walls. "Shale Reservoir Properties from Digital Rock Physics." In 3rd EAGE Shale Workshop - Shale Physics and Shale Chemistry. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20143938.
Повний текст джерелаЗвіти організацій з теми "Digital Chemistry"
Peters, Vanessa, Deblina Pakhira, Latia White, Rita Fennelly-Atkinson, and Barbara Means. Designing Gateway Statistics and Chemistry Courses for Today’s Students: Case Studies of Postsecondary Course Innovations. Digital Promise, August 2022. http://dx.doi.org/10.51388/20.500.12265/162.
Повний текст джерела