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Статті в журналах з теми "ADHM data"
Cork, Josh, and Chris Halcrow. "ADHM skyrmions." Nonlinearity 35, no. 8 (June 23, 2022): 3944–90. http://dx.doi.org/10.1088/1361-6544/ac72e6.
Повний текст джерелаOhkawa, Ryo. "Wall-crossing between stable and co-stable ADHM data." Letters in Mathematical Physics 108, no. 6 (March 16, 2018): 1485–523. http://dx.doi.org/10.1007/s11005-018-1071-2.
Повний текст джерелаChoy, Jaeyoo. "The SO(3)-instanton moduli space and tensor products of ADHM data." Journal of Algebra 528 (June 2019): 38–71. http://dx.doi.org/10.1016/j.jalgebra.2019.03.004.
Повний текст джерелаLai, Sheng-Hong, Jen-Chi Lee, and I.-Hsun Tsai. "Extended complex Yang–Mills instanton sheaves." International Journal of Geometric Methods in Modern Physics 17, no. 04 (March 2020): 2050061. http://dx.doi.org/10.1142/s0219887820500619.
Повний текст джерелаvan Beek, Jenny H. D. A., Gonneke Willemsen, Marleen H. M. de Moor, Jouke Jan Hottenga, and Dorret I. Boomsma. "Associations Between ADH Gene Variants and Alcohol Phenotypes in Dutch Adults." Twin Research and Human Genetics 13, no. 1 (February 1, 2010): 30–42. http://dx.doi.org/10.1375/twin.13.1.30.
Повний текст джерелаLin, Jing-Zhong, Peter L. Morrell, and Michael T. Clegg. "The Influence of Linkage and Inbreeding on Patterns of Nucleotide Sequence Diversity at Duplicate Alcohol Dehydrogenase Loci in Wild Barley (Hordeum vulgaressp. spontaneum)." Genetics 162, no. 4 (December 1, 2002): 2007–15. http://dx.doi.org/10.1093/genetics/162.4.2007.
Повний текст джерелаHolmes, Roger S., Roland A. H. van Oorschot, and John L. Vandeberg. "Genetics of alcohol dehydrogenase and aldehyde dehydrogenase from Monodelphis domestica cornea: further evidence for identity of corneal aldehyde dehydrogenase with a major soluble protein." Genetics Research 56, no. 2-3 (October 1990): 259–65. http://dx.doi.org/10.1017/s0016672300035369.
Повний текст джерелаLai, Sheng-Hong, Jen-Chi Lee, and I.-Hsun Tsai. "Sheaf lines of Yang–Mills instanton sheaves." International Journal of Geometric Methods in Modern Physics 16, no. 03 (March 2019): 1950036. http://dx.doi.org/10.1142/s0219887819500361.
Повний текст джерелаGrimmsmann, Thomas, and Wolfgang Himmel. "The 10-year trend in drug prescriptions for attention-deficit/hyperactivity disorder (ADHD) in Germany." European Journal of Clinical Pharmacology 77, no. 1 (August 17, 2020): 107–15. http://dx.doi.org/10.1007/s00228-020-02948-3.
Повний текст джерелаButar-Butar, Vivi Marianti. "ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD) IN ROBIN ROE’S NOVEL A LIST OF CAGES." Lingual: Journal of Language and Culture 8, no. 2 (February 8, 2020): 45. http://dx.doi.org/10.24843/ljlc.2019.v08.i02.p08.
Повний текст джерелаДисертації з теми "ADHM data"
Kirschner, Paolo. "Progetto ADaM - Archeological DAta Management Progetto per la creazione di una banca dati relazionale per la gestione dei dati di scavo." Doctoral thesis, Università degli studi di Padova, 2008. http://hdl.handle.net/11577/3425584.
Повний текст джерелаLi, Shijian. "Scalable User Assignment in Power Grids: A Data Driven Approach." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/1107.
Повний текст джерелаAnderson, William, and Eduardo Carro. "Data Acquisition System Central Multiplexer." International Foundation for Telemetering, 1994. http://hdl.handle.net/10150/611651.
Повний текст джерелаThe Central Multiplexer is a versatile data multiplexer designed to address emerging test requirements for recording data from many sources on digital rotary head recorders at high data rates. A modular design allows easy reconfiguration for airborne or laboratory use; simultaneous data input from 63 sources of data in any combination of PCM commutators, ARINC 429 buses, ARINC 629 buses, MIL- STD-1553 buses, and general-purpose high-speed serial data packets; simultaneous, independent programmable outputs to high-speed digital data recorders, quick-look displays, and engineering monitor and analysis systems; and setup and control from a remote panel, a dumb terminal, a laptop personal computer, a standalone test system, or a large control computer.
Tankielun, Adam [Verfasser]. "Data Post-Processing and Hardware Architecture of Electromagnetic Near-Field Scanner / Adam Tankielun." Aachen : Shaker, 2008. http://d-nb.info/1164342266/34.
Повний текст джерелаAdams, Richard. "The Advanced Data Acquisition Model (ADAM): A process model for digital forensic practice." Thesis, Adams, Richard (2012) The Advanced Data Acquisition Model (ADAM): A process model for digital forensic practice. PhD thesis, Murdoch University, 2012. https://researchrepository.murdoch.edu.au/id/eprint/14422/.
Повний текст джерелаGonzales, de Olarte Efraín. "La Matriz de Capacidades y Desempeños (MCD) y el Algoritmo del Desarrollo Humano (ADH)." Economía, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/117871.
Повний текст джерелаDado que el desarrollo humano es un proceso complejo que tiene múltiples componentes ydeterminantes, es necesario tener indicadores multidimensionales tales como la Matriz de Capacidadesy Desempeños (MCD) y el Algoritmo del Desarrollo Humano (ADH).El MCD está compuesto de vectores de capacidades y de desempeños, basado en la idea de Sensobre desempeños refinados. Está basado en un marco conceptual matricial, tanto estático comodinámico. El propósito principal de la construcción del índice es estudiar cómo diferentes conjuntosde capacidades con desempeños pueden producir distintos resultados.El ADH es un índice multidimensional relacionado con el conjunto de bienes y servicios que senecesitan para completar un ciclo de vida. El ADH es un indicador de contexto socioeconómico.Está compuesto de los principales satisfactores o bienes y servicios básicos que se requieren: alimentos,salud, educación, vivienda, seguridad social, empleo decente y sistema de pensiones, quedeben estar disponibles durante todo el ciclo de vida. Este indicador muestra el progreso materialalcanzado por cada país o región, tanto como la organización institucional pública y privada, yel grado de cohesión social.
Huang, Andrew S. (Andrew Shane). "ADAM : a decentralized parallel computer architecture featuring fast thread and data migration and a uniform hardware abstraction." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/29905.
Повний текст джерелаIncludes bibliographical references (p. 247-256).
The furious pace of Moore's Law is driving computer architecture into a realm where the the speed of light is the dominant factor in system latencies. The number of clock cycles to span a chip are increasing, while the number of bits that can be accessed within a clock cycle is decreasing. Hence, it is becoming more difficult to hide latency. One alternative solution is to reduce latency by migrating threads and data, but the overhead of existing implementations has previously made migration an unserviceable solution so far. I present an architecture, implementation, and mechanisms that reduces the overhead of migration to the point where migration is a viable supplement to other latency hiding mechanisms, such as multithreading. The architecture is abstract, and presents programmers with a simple, uniform fine-grained multithreaded parallel programming model with implicit memory management. In other words, the spatial nature and implementation details (such as the number of processors) of a parallel machine are entirely hidden from the programmer. Compiler writers are encouraged to devise programming languages for the machine that guide a programmer to express their ideas in terms of objects, since objects exhibit an inherent physical locality of data and code. The machine implementation can then leverage this locality to automatically distribute data and threads across the physical machine by using a set of high performance migration mechanisms.
(cont.) An implementation of this architecture could migrate a null thread in 66 cycles - over a factor of 1000 improvement over previous work. Performance also scales well; the time required to move a typical thread is only 4 to 5 times that of a null thread. Data migration performance is similar, and scales linearly with data block size. Since the performance of the migration mechanism is on par with that of an L2 cache, the implementation simulated in my work has no data caches and relies instead on multithreading and the migration mechanism to hide and reduce access latencies.
by Andrew "bunnie" Huang.
Ph.D.
Wise, Barbara. "THE EFFECT OF CLOSURE ON THE RELATIONSHIP BETWEEN ADHD SYMPTOMS AND SMOKING INITIATION: A MODERATION MODEL USING ADD HEALTH DATA." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1448998688.
Повний текст джерелаMahmud, A. S. M. Hasan. "Sustainable Resource Management for Cloud Data Centers." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2634.
Повний текст джерелаGilander, Julia, and Jennifer Bodén. "Spelbaserat lärande som främjar engagemang : Ett digitalt läromedel för barn med ADHD och tidsuppfattningssvårigheter." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-120617.
Повний текст джерелаChildren with ADHD often experience difficulties with time perception which can cause them problems later in life. In order to help them in their daily life, an analog tool called “Pussla med tid” has been developed with the purpose of teaching these children the concept of time by visualizing it. What does not yet exist is a digital tool designed for the end user which is perceived as fun. This study evaluates the possibility of digitalizing the “Pussla med tid” tool and how it could be done to engage and meet the needs of the end users. This is a qualitative study that uses a user-centerd design (UCD) approach where the needs of the target group has been taken into careful consideration in every design decision. In order to find out needs, interviews with special educators were held. When developing the concept of the game, methods such as brainstorming, sketch books and moodboards were used to determine the interface and functions of the game. User tests were conducted in order to evaluate the level of engagement and whether it met the needs of the end users or not. According to the results, children with ADHD require a calm learning environment with little distractions and with an overview showing the entire process. Using this information when designing, a prototype was developed and tested by the target group. The results showed that the game was generally engaging and user friendly, but that there were a lack of satisfaction. Thislowlevelofsatisfactionwasprobablyduetothedifficulty level of the game which was perceived as low, and which did not offer the testers any challenges, which is important to create engagement. This study generated results that could help determine how a digital tool should be designed to engage the end user. The prototype that was developed showed both strengths and weaknesses, data which could be useful when designing similar tools with a shared purpose of being engaging.
Книги з теми "ADHM data"
Piehl, Norah. Date rape. Detroit: Greenhaven Press, 2012.
Знайти повний текст джерелаChristopher, Fung, and Ontario. Air Quality and Meteorology Section, eds. Evaluating the comprehensive model ADOM with data from three seasons. [Toronto, Ont: Ontario Ministry of the Environment, Air Resources Branch, Air Quality and Meteorology Section, 1990.
Знайти повний текст джерелаSmith, Einar. Carl Adam Petri: Eine Biographie. Berlin: Springer Vieweg, 2014.
Знайти повний текст джерелаChristopher, Fung, and Ontario. Ministry of the Environment., eds. Evaluating the comprehensive model ADOM with data from three seasons, report. [Toronto]: Ontario Environment, 1990.
Знайти повний текст джерелаArock, Michel. Autoformation et aide au diagnostic en hématologie avec le logiciel ADH. Paris: Springer-Verlag France, Paris, 2008.
Знайти повний текст джерелаAdem, Genc, and Oktay Ahmet, eds. Adem Genç: Post Dada ve pop sürecinde yeni - soyut yaklaşımlar = the new - abstract approaches during post Dada and pop period. İstanbul: Bilim Sanat Galerisi, 2004.
Знайти повний текст джерелаBarkley, Russell A. ADHD in adults: What the science says. New York: Guilford Press, 2008.
Знайти повний текст джерелаAIS-ADM 2007 (2007 Saint Petersburg, Russia). Autonomous intelligent systems: Agents and data mining ; second international workshop, AIS-ADM 2007, St. Petersburg, Russia, June 3-5, 2007 : proceedings. Berlin: Springer, 2007.
Знайти повний текст джерелаBrink, Gabriël. Moral Sentiments in Modern Society. Translated by Gioia Marini. NL Amsterdam: Amsterdam University Press, 2016. http://dx.doi.org/10.5117/9789089647757.
Повний текст джерелаParii, Boris. Medicamentul de la Adam până la Ștefan cel Mare și Sfânt: Date istorice, sugestii, cugetări, discuții. Chișinău: [s.n.], 2006.
Знайти повний текст джерелаЧастини книг з теми "ADHM data"
Leo, Jonathan, and Jeffrey Lacasse. "The Manipulation of Data and Attitudes about ADHD: A Study of Consumer Advertisements." In Rethinking ADHD, 287–312. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-02058-1_11.
Повний текст джерелаHart, Nicky, and Louba Benassaya. "Social Deprivation or Brain Dysfunction? Data and the Discourse of ADHD in Britain and North America." In Rethinking ADHD, 218–51. London: Macmillan Education UK, 2009. http://dx.doi.org/10.1007/978-1-137-02058-1_9.
Повний текст джерелаRyu, Seung Ho, Soohwan Oh, Sangah Lee, and Tai-Myoung Chung. "A Novel Approach to Diagnose ADHD Using Virtual Reality." In Future Data and Security Engineering, 260–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63924-2_15.
Повний текст джерелаKumar, Avinash, Sobhangi Sarkar, and Chittaranjan Pradhan. "Malaria Disease Detection Using CNN Technique with SGD, RMSprop and ADAM Optimizers." In Studies in Big Data, 211–30. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33966-1_11.
Повний текст джерелаLin, Nan, and Liqun Yu. "The ADMM and Its Application to Network Big Data." In Big Data and Computational Intelligence in Networking, 151–76. Boca Raton, FL : CRC Press, [2018]: CRC Press, 2017. http://dx.doi.org/10.1201/9781315155678-11.
Повний текст джерелаWang, Junxiang, and Liang Zhao. "Convergence and Applications of ADMM on the Multi-convex Problems." In Advances in Knowledge Discovery and Data Mining, 30–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05936-0_3.
Повний текст джерелаRamachandran, Rahul, Sara Graves, John Rushing, Ken Keizer, Manil Maskey, Hong Lin, and Helen Conover. "ADaM Services: Scientific Data Mining in the Service-Oriented Architecture Paradigm." In Data Mining Techniques in Grid Computing Environments, 57–70. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470699904.ch4.
Повний текст джерелаZhang, Yuduo, Zhichao Lian, and Chanying Huang. "A Multilayer Sparse Representation of Dynamic Brain Functional Network Based on Hypergraph Theory for ADHD Classification." In Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 325–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36204-1_27.
Повний текст джерелаZhang, Jiaxin, Jie Liu, Shaowei Chen, Shaoxin Lin, Bingquan Wang, and Shanpeng Wang. "ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification." In Advances in Knowledge Discovery and Data Mining, 131–42. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05933-9_11.
Повний текст джерелаKuang, Deping, Xiaojiao Guo, Xiu An, Yilu Zhao, and Lianghua He. "Discrimination of ADHD Based on fMRI Data with Deep Belief Network." In Intelligent Computing in Bioinformatics, 225–32. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09330-7_27.
Повний текст джерелаТези доповідей конференцій з теми "ADHM data"
Steck, Harald, Maria Dimakopoulou, Nickolai Riabov, and Tony Jebara. "ADMM SLIM." In WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3336191.3371774.
Повний текст джерелаDhar, Sauptik, Congrui Yi, Naveen Ramakrishnan, and Mohak Shah. "ADMM based scalable machine learning on Spark." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363871.
Повний текст джерелаDing, Jiahao, Xinyue Zhang, Mingsong Chen, Kaiping Xue, Chi Zhang, and Miao Pan. "Differentially Private Robust ADMM for Distributed Machine Learning." In 2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019. http://dx.doi.org/10.1109/bigdata47090.2019.9005716.
Повний текст джерелаUn, Man-Wai, Mingjie Shao, Wing-Kin Ma, and P. C. Ching. "Deep Mimo Detection Using ADMM Unfolding." In 2019 IEEE Data Science Workshop (DSW). IEEE, 2019. http://dx.doi.org/10.1109/dsw.2019.8755566.
Повний текст джерелаHuang, Xin, Guozheng Wang, and Yongmei Lei. "GR-ADMM: A Communication Efficient Algorithm Based on ADMM." In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2021. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00041.
Повний текст джерелаGuo, Xiaojiao, and Lianghua He. "ADHD Discrimination Based on Social Network." In 2014 International Conference on Cloud Computing and Big Data (CCBD). IEEE, 2014. http://dx.doi.org/10.1109/ccbd.2014.38.
Повний текст джерелаKuang, Deping, and Lianghua He. "Classification on ADHD with Deep Learning." In 2014 International Conference on Cloud Computing and Big Data (CCBD). IEEE, 2014. http://dx.doi.org/10.1109/ccbd.2014.42.
Повний текст джерелаTrihinas, Demetris, George Pallis, and Marios D. Dikaiakos. "AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7363816.
Повний текст джерелаVanags, Edmunds, Ņikita Bezborodovs, Līga Riekstiņa, Armands Zelčs, Lelde Ūlupe, Dana Skara, Ance Vecgrāve, Marta Celmiņa, and Jurģis Strautmanis. "Cognitive Abilities in Children with ADHD, Comorbid Epilepsy and Typically Developed Children." In 80th International Scientific Conference of the University of Latvia. University of Latvia Press, 2022. http://dx.doi.org/10.22364/htqe.2022.01.
Повний текст джерелаZhao, Chen, Jian Zhang, Siwei Ma, and Wen Gao. "Nonconvex Lp Nuclear Norm based ADMM Framework for Compressed Sensing." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.104.
Повний текст джерелаЗвіти організацій з теми "ADHM data"
Cheng, Yeeva, and Cara Kraus-Perrotta. An Overview of the Adolescent Data Hub (ADH). Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1018.
Повний текст джерелаCucuringu, Mihai, and Radek Erban. ADM-CLE Approach for Detecting Slow Variables in Continuous Time Markov Chains and Dynamic Data. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada626542.
Повний текст джерелаEubank, Robert F. REQUEST FOR QUALIFICATION No. ADPM-001 PREQUALIFICATION CRITERIA Safety-Class Uninterruptable Power Supply Integrator for the TA-55 TRP II Project Procurement Specialist: Robert Eubank Due Date: May 31, 2013. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1077009.
Повний текст джерелаEubank, Robert F. REQUEST FOR QUALIFICATION No. ADPM-002 PREQUALIFICATION CRITERIA Safety-Class Uninterruptable Power Supply General Contractor for the TA-55 TRP II Project Procurement Specialist: Robert Eubank Due Date: May 31, 2013. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1077008.
Повний текст джерелаBell, Gary, David Abraham, Nathan Clifton, and Lamkin Kenneth. Wabash and Ohio River confluence hydraulic and sediment transport model investigation : a report for US Army Corps of Engineers, Louisville District. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43441.
Повний текст джерелаSaldanha, Ian J., Wangnan Cao, Justin M. Broyles, Gaelen P. Adam, Monika Reddy Bhuma, Shivani Mehta, Laura S. Dominici, Andrea L. Pusic, and Ethan M. Balk. Breast Reconstruction After Mastectomy: A Systematic Review and Meta-Analysis. Agency for Healthcare Research and Quality (AHRQ), July 2021. http://dx.doi.org/10.23970/ahrqepccer245.
Повний текст джерелаRosser, Katy, Iulia Gherman, Erica Kintz, Paul Cook, and Anthony WIlson. Assessment of the risk to consumers as a result of disruption to the cold chain during direct supply of Qurbani meat and offal. Food Standards Agency, June 2022. http://dx.doi.org/10.46756/sci.fsa.nuc910.
Повний текст джерелаShould emotion dysregulation be considered a core component of ADHD? ACAMH, December 2019. http://dx.doi.org/10.13056/acamh.10682.
Повний текст джерелаShared genetic risk underlies the co-occurrence of ADHD and other psychiatric symptoms. ACAMH, June 2020. http://dx.doi.org/10.13056/acamh.12149.
Повний текст джерелаGender-specific pathways mediate the risk of substance use in adolescents with ADHD. ACAMH, December 2019. http://dx.doi.org/10.13056/acamh.10679.
Повний текст джерела