5,132 research outputs found
Benthic processes in South San Francisco Bay: The role of organic inputs and bioturbation
No full textMeasurements of benthic processes over the last 13 years in South San Francisco Bay have spanned a range of hydrologic and water quality conditions. However, benthic fluxes of O₂, NH₄⁺ and NO₃⁻ have shown little variation. NH₄ and NO₃⁻ flux during this period were relatively constant in magnitude and direction. Sediment O₂ consumption was lower in the early 1980s than in the early 1990s. The reason for this difference is unclear, but may be a result of methodology or a lower density of the tube dwelling Asychis elongata. Although dissolved inorganic phosphate fluxes generally have been close to zero, in fall, there is a net flux into the sediments. Dissolved Si fluxes were consistently out of the sediments, while dissolved organic carbon fluxes were large and exhibited shifts in direction. Compared with
other estuarine and coastal systems, temperature was not a major control on benthic fluxes because of the small annual temperature range. Irrigation by macrofauna enhances O₂ consumption and may control NH₄⁺ fluxes in the shoals, where NH₄⁺ flux was correlated with the biomass of mollusks. Porewater profiles of NH₄⁺, TCO₂ and radon suggest that irrigation is important in controlling dissolved constituent concentrations. Organic inputs such as deposition of phytoplankton may also affect benthic fluxes. In the channel, NH₄⁺ flux was positively correlated to phaeopigment concentrations in sediments. Ratios of sediment O₂ consumption to DIN (NH₄⁺ + NO₃⁻ ) or DIP flux were very different than ratios of remineralization of organic matter with a Redfield ratio, and suggest that both denitrification and phosphorus burial were occurring at both locations.Conference PaperPublishedAt head of title: Seventy-fifth Annual Meeting of the Pacific Division/American Association for the Advancement of Science held at San Francisco State University, San Francisco, California, June 19-24, 1994
Monthly review (Federal Reserve Bank of San Francisco) (April 1942)
No full textA periodical sent out by the Federal Reserve Bank of San Francisco on economic issues. This April 1942 issue summarized the economic implications of the Federal governments' forced removal of the Japanese.The War Relocation Authority (WRA), together with the Wartime Civil Control Administration (WCCA), the Civil Affairs Division (CAD) and the Office of the Commanding General (OFG) of the Western Defense Command (WDC) operated together to segregate and house some 110,000 men women and children from 1942 to 1945. The collection contains documents and photographs relating to the establishment and administrative workings of the (WDC), the (WRA) and the (WCCA) for the year 1942
The Charitable Behavior of San Francisco Bay Area Physicians
No full textAs the highest-paid professionals in our society, physicians represent a unique and interesting segment of the American population. Surprisingly little information is available on the actual charitable interests and giving patterns of medical practitioners, but then few studies have been done on populations of wealthy individuals. Knowledge of physicians\u27 charitable behavior is limited to their provision of medical care without remuneration, but no relationships have been developed between these activities and other charitable practices.
A mail survey of 1,451 physicians in the San Francisco Bay Area was conducted during the months of September- October, 1986 to gather information on the charitable practices of physicians within 12 areas of giving and 9 areas of volunteer work. There were 531 respondents and 920 non-respondents, for a 37% response rate. The size of the random sampling and respondent populations has been determined to be sufficient to provide data confidence at the .05 level.
One hundred percent of the physician respondents made charitable contributions in 1985 and they gave an average of 2.5% of their annual income. They made an average of 15.7 gifts to charity in 1985, for a mean total of $2,691. The study shows that physicians are heavily solicited and that they respond to many charities. As income levels and total contributions to charity increased, physicians have a tendency to increase the number, rather than the size, of their individual gifts. The research concludes that the philanthropic interests of physicians extend to many areas and that doctors are far more charitable than is generally recognized. A closer targeting of the physician donor market, however, will be required to enhance the effectiveness and efficiency of those nonprofit agencies seeking to establish or maintain a base of their support. Because doctors are already so heavily solicited, recommendations were made that development professionals and volunteers consider the personal and professional characteristics of physicians when identifying them as donor prospects rather than targeting doctors for gifts solely on the basis of their occupation. Physicians respond to charitable solicitations when they have personal interests in the cause and when they have been solicited by someone they know well.
This research was undertaken in partial fulfillment of the requirements leading to the degree of Master of Public Administration at the University of San Francisco. The findings are extracted from the master\u27s thesis entitled A Study of the lnfuence of Income, Worksetting and Medical Specialty on the Charitable Behavior of San Francisco Bay Area Physicians. The author wishes to acknowledge the valuable comments of Paul Harder, Barbara Marion, CFRE and Michael O\u27Neill, Ph.D. in support of the original manuscript for this work and the editorial assistance of Kathy Witty for the current document
This IS the home of the free and the brave
No full textPresidential campaign speech by Barry M. Goldwater, San Francisco, California
[Memo from M. F. Hass, Lieutenant Colonel, Civil Affairs Division regarding the proposed Japanese evacuation operation in San Francisco, California]
No full textA proposal sent to all civilian agencies in the Wartime Civil Control Administration on the evacuation all persons of Japanese ancestry in San Francisco, California. The proposal lists the times, dates, destinations, and procedures for the evacuation.The War Relocation Authority (WRA), together with the Wartime Civil Control Administration (WCCA), the Civil Affairs Division (CAD) and the Office of the Commanding General (OFG) of the Western Defense Command (WDC) operated together to segregate and house some 110,000 men women and children from 1942 to 1945. The collection contains documents and photographs relating to the establishment and administrative workings of the (WDC), the (WRA) and the (WCCA) for the year 1942
Author Profiling Tracks at FIRE
No full text[EN] Benchmarking activities are vital for fostering research and addressing new challenging problems. During the last 10 years of the FIRE initiative we have been involved in the organization of more than ten tracks, with the aim of the creation of new resources in several languages that were made available to the research community. This allowed to compare the new several approaches on the same datasets. In this chapter we will focus on the description of three author profiling tracks, on their data creation as well as the results analysis.The work on the author profiling data in Arabic was made possible by NPRP Grant #9-175-1-033 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authorsRosso, P.; Rangel Pardo, FM. (2020). Author Profiling Tracks at FIRE. SN Computer Science. 1:1-11. https://doi.org/10.1007/s42979-020-0073-1S1111Al Sukhni E, Alequr Q. Investigating the use of machine learning algorithms in detecting gender of the Arabic tweet author. Int J Adv Comput Sci Appl. 2016;1(7):319–28.Alsmearat K, Al-Ayyoub M, Al-Shalabi R. An extensive study of the bag-of-words approach for gender identification of Arabic articles. In: 2014 IEEE/ACS 11th international conference on computer systems and applications (AICCSA). 2014. pp 601–608. IEEE.Alsmearat K, Shehab M, Al-Ayyoub M, Al-Shalabi R, Kanaan G. Emotion analysis of Arabic articles and its impact on identifying the authors gender. In: 12th international conference on computer systems and applications (AICCSA), 2015 IEEE/ACS; 2015.Álvarez-Carmona MA, López-Monroy AP, Montes-Y-Gómez M, Villaseñor-Pineda L, Jair-Escalante H. Inaoe’s participation at pan’15: author profiling task—notebook for pan at clef 2015; 2015.Argamon S, Koppel M, Fine J, Shimoni AR. Gender, genre, and writing style in formal written texts. TEXT. 2003;23:321–46.Argamon S, Dhawle S, Koppel M, Pennebaker JW. Lexical predictors of personality type. In: Proceedings of the joint annual meeting of the interface and the classification society of North America; 2005.Asghari H, Mohtaj S, Fatemi O, Faili H, Rosso P, Potthast M. Algorithms and corpora for Persian plagiarism detection: overview of pan at fire 2016. In: Notebook Papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR Workshop Proceedings. CEUR-WS.org, vol 1737; 2016. pp 135–144.Bachrach Y, Kosinski M, Graepel T, Kohli P, Stillwell D. Personality and patterns of Facebook usage. In: Proceedings of the ACM web science conference. ACM New York, NY, USA; 2012. pp 36–44.Banerjee S, Chakma K, Naskar DA Sudip, Rosso P, Bandyopadhyay S, Choudhury M. Overview of the mixed script information retrieval (MSIR) at fire-2016. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 94–99.Barrón-Cedeño A, Rosso P, Lalitha-Devi S, Clough P, Stevenson M. Pan@fire: Overview of the cross-language !ndian text re-use detection competition. In: 2nd and 3th international workshops FIRE 2010 and 2011, multilingual information access in south Asian Languages, Springer, LNCS(7536); 2013. pp 59–70.Bensalem I, Boukhalfa I, Rosso P, Abouenour L, Darwish K, Chikhi S. Overview of the araplagdet pan@ fire2015 shared task on Arabic plagiarism detection. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR Workshop Proceedings. CEUR-WS.org, vol 1587; 2015. pp 111–122.Bishop-Clark C. Cognitive style, personality, and computer programming. Computers in human behavior, vol. 11–2. New York: Elsevier; 1995. p. 241–60.Castro D, Souza E, de Oliveira AL. Discriminating between brazilian and european portuguese national varieties on twitter texts. In: 5th Brazilian conference on intelligent systems (BRACIS); 2016. pp 265–270.Celli F, Polonio L. Relationships between personality and interactions in Facebook. Social networking: recent trends, emerging issues and future outlook. New York: Nova Science Publishers Inc; 2013. p. 41–54.Celli F, Lepri B, Biel JI, Gatica-Perez D, Riccardi G, Pianesi F. The workshop on computational personality recognition 2014. In: Proceedings of the ACM international conference on multimedia, ACM; 2014. pp 1245–1246.Costa PT, McCrae RR. The revised neo personality inventory (neo-pi-r). The SAGE handbook of personality theory and assessment, vol. 2. Thousand Oaks: Sage Publications Inc.; 2008. p. 179–98.Elfardy H, Diab MT. Sentence level dialect identification in Arabic. In: Association for computational linguistics (ACL); 2013. pp 456–461.Estival D, Gaustad T, Hutchinson B, Bao-Pham S, Radford W. Author profiling for English and Arabic emails; 2008.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@fire: Overview of SOCO track on the detection of source code re-use. In: Notebook papers of FIRE, FIRE-2014. India: Bangalore; 2014.Flores E, Rosso P, Moreno L, Villatoro-Tello E. Pan@ fire 2015: Overview of cl-soco track on the detection of cross-language source code re-use. In: Proceedings of the seventh forum for information retrieval evaluation (FIRE 2015), Gandhinagar, India; 2015. pp 4–6.Franco-Salvador M, Rangel F, Rosso P, Taule M, Marti M. Language variety identification using distributed representations of words and documents. Experimental IR meets multilinguality, multimodality, and interaction. Berlin: Springer; 2015. p. 28–40.Golbeck J, Robles C, Turner K. Predicting personality with social media. In: CHI’11 extended abstracts on human factors in computing systems, ACM; 2011. pp 253–262.Gupta P, Clough P, Rosso P, Stevenson M. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook papers of FIRE 2012, FIRE-2012, Kolkata, India, December 17–19; 2012.Gupta P, Clough P, Rosso P, Stevenson M, Banchs R. Pan@fire: Overview of the cross-language Indian news story search (CLINSS) track. In: Notebook Papers of FIRE 2013, FIRE-2013, Delhi, India, December 4–6; 2013.Holmes J, Meyerhoff M. The handbook of language and gender. Blackwell handbooks in linguistics. New York: Wiley; 2003.Huang C, Lee L. Contrastive approach towards text source classification based on top-bag-of-word similarity. In: In PACLIC; 2008. pp 404–410.Karimi Z, Baraani-Dastjerdi A, Ghasem-Aghaee N, Wagner S. Links between the personalities, styles and performance in computer programming. J Syst Softw. 2016;111:228–41.Koppel M, Argamon S, Shimoni AR. Automatically categorizing written texts by author gender. Lit Linguist Comput. 2002;17:4.Kosinski M, Bachrach Y, Kohli P, Stillwell D, Graepel T. Manifestations of user personality in website choice and behaviour on online social networks. New York: Springer; 2013. p. 1–24.Litvinova T, Litvinlova O, Zagorovskaya O, Seredin P, Sboev A, Romanchenko O. “ruspersonality”: a Russian corpus for authorship profiling and deception detection. In: Intelligence, social media and web (ISMW FRUCT), 2016 international FRUCT conference on, IEEE; 2016. pp 1–7.Litvinova T, Seredin P, Litvinova O, Zagorovskaya O, Sboev A, Gudovskih D, Moloshnikov I, Rybka R. Gender prediction for authors of Russian texts using regression and classification techniques. In: CDUD@ CLA; 2016. pp 44–53.Litvinova T, Gudovskikh D, Sboev A, Seredin P, Litvinova O, Pisarevskaya D, Rosso P. Author gender prediction in Russian social media texts. In: Conference on analysis of images, social networks, and texts, AIST-2017, IEEE; 2017. pp 1101–1106.Litvinova T, Rangel F, Rosso P, Seredin P, Litvinova O. Overview of the rusprofiling pan at fire track on cross-genre gender identification in Russian. In: Notebook papers of FIRE 2017, FIRE-2017, Bangalore, India, December 8–11, CEUR Workshop Proceedings. CEUR-WS.org, vol 2036; 2017. pp 1–7.Lui M, Cook P. Classifying English documents by national dialect. In: Proceedings of the Australasian Language Technology Association Workshop; 2013. pp 5–15.Maharjan S, Shrestha P, Solorio T, Hasan R. A straightforward author profiling approach in mapreduce. In: Advances in artificial intelligence. Iberamia; 2014. pp 95–107.Maier W, Gomez-Rodriguez C. Language variety identification in Spanish tweets. In: LT4CloseLang 2014; 2014.Mairesse F, Walker MA, Mehl MR, Moore RK. Using linguistic cues for the automatic recognition of personality in conversation and text. J Artif Intell Res. 2007;30–1:457–500.Malmasi S, Zampieri M, Ljubešić N, Nakov P, Ali A, Tiedemann J. Discriminating between similar languages and Arabic dialect identification: a report on the third DSL shared task. In: Proceedings of the third workshop on NLP for similar languages, varieties and dialects (VarDial3); 2016. pp 1–14.Maulana Siagian AHA, Aritsugi M. Dbms-ku approach for author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Neuman Y, Cohen Y. A vectorial semantics approach to personality assessment. Sci Rep. 2014;4:4761.Oberlander J, Nowson S. Whose thumb is it anyway?: classifying author personality from weblog text. In: Proceedings of the COLING/ACL on main conference poster sessions, Association for Computational Linguistics; 2006. pp 627–634.Paruma-Pabón OH, González FA, Aponte J, Camargo JE, Restrepo-Calle F. Finding relationships between socio-technical aspects and personality traits by mining developer e-mails. In: Proceedings of the 9th international workshop on cooperative and human aspects of software engineering, ACM; 2016. pp 8–14.Pennebaker JW, Mehl MR, Niederhoffer KG. Psychological aspects of natural language use: our words, our selves. Annu Rev Psychol. 2003;54(1):547–77.Quercia D, Lambiotte R, Stillwell D, Kosinski M, Crowcroft J. The personality of popular Facebook users. In: Proceedings of the ACM 2012 conference on computer supported cooperative Work, ACM; 2012. pp 955–964.Rangel F, Rosso P. On the multilingual and genre robustness of emographs for author profiling in social media. In: 6th international conference of CLEF on experimental IR meets multilinguality, multimodality, and interaction, Springer-Verlag, LNCS(9283); 2015. pp 274–280.Rangel F, Rosso P. On the impact of emotions on author profiling. Inf Process Manag. 2016;52(1):73–92.Rangel F, Rosso P. On the implications of the general data protection regulation on the organisation of evaluation tasks. Lang Law. 2019;5:95–117.Rangel F, Rosso P. Overview of the 7th author profiling task at pan 2019: Bots and gender profiling. In: Cappellato L, Ferro N, MÃller H, Losada D (Eds) CLEF 2019 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org; 2019.Rangel F, Rosso P, Potthast M, Stein B, Daelemans W. Overview of the 3rd author profiling task at pan 2015. In: Cappellato L, Ferro N, Jones G, San Juan E (Eds) CLEF 2015 labs and workshops, notebook papers. CEUR Workshop Proceedings. CEUR-WS.org, vol. 1391; 2015.Rangel F, González F, Restrepo-Calle F, Montes M, Rosso P. Pan at fire: Overview of the PR-SOCO track on personality recognition in source code. In: Notebook papers of FIRE 2016, FIRE-2016, Kolkata, India, December 7–10, CEUR workshop proceedings. CEUR-WS.org, vol 1737; 2016. pp 1–5.Rangel F, Rosso P, Franco-Salvador M. A low dimensionality representation for language variety identification. In: 17th international conference on intelligent text processing and computational linguistics, CICLing. Springer; 2016. LNCS. arXiv:1705.10754Rangel F, Rosso P, Potthast M, Stein B. Overview of the 5th author profiling task at PAN 2017: gender and language variety identification in Twitter. In: Working notes papers of the CLEF 2017 evaluation labs, CLEF and CEUR-WS.org, CEUR workshop proceedings; 2017.Rangel F, Rosso P, Charfi A, Zaghouani W, Ghanem B, Sánchez-Junquera J. Overview of the track on author profiling and deception detection in Arabic. In: Metha P, Rosso P, Majumder P, Mitra M (Eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Rangel F, Paolo R, Zaghouani W, Charfi A. Fine-grained analysis of language varieties and demographics. Nat Lang Eng; 2020. (In Press).Rosso P, Rangel F, Hernández-Farías I, Cagnina L, Zaghouani W, Charfi A. A survey on author profiling, deception, and irony detection for the Arabic language. Lang Ling Compass. 2018;12:4.Sadat F, Kazemi F, Farzindar A. Automatic identification of Arabic language varieties and dialects in social media. In: Proceedings of SocialNLP; 2014. p 22.Schler J, Koppel M, Argamon S, Pennebaker JW. Effects of age and gender on blogging. In: AAAI spring symposium: computational approaches to analyzing weblogs, AAAI; 2006. pp 199–205.Schwartz HA, Eichstaedt JC, Kern ML, Dziurzynski L, Ramones SM, Agrawal M, Shah A, Kosinski M, Stillwell D, Seligman ME, et al. Personality, gender, and age in the language of social media: the open-vocabulary approach. PLoS One. 2013;8–9:773–91.Sequiera R, Choudhury M, Gupta P, Rosso P, Kumar S, Banerjee S, Kumar-Naskar S, Bandyopadhyay S, Chittaranjan G, Das A, Chakma K. Overview of fire-2015 shared task on mixed script information retrieval. In: Notebook papers of FIRE 2015, FIRE-2015, Gandhinagar, India, December 4–6, CEUR workshop proceedings. CEUR-WS.org, vol 1587; 2015. pp 19–25.Sun Y, Ning H, Chen K, Kong L, Yang Y, Wang J, Qi H. Author profiling in arabic tweets:an approach based on multi-classification with word and character features. In: Metha P, Rosso P, Majumder P, Mitra M (eds) Working notes of the forum for information retrieval evaluation (FIRE 2019). CEUR workshop proceedings. CEUR-WS.org, Kolkata, India, December 12–15; 2019.Weren E, Kauer A, Mizusaki L, Moreira V, de Oliveira P, Wives L. Examining multiple features for author profiling. J Inf Data Manag. 2014;20:266–79.Xu F, Wang M, Li M. Sentence-level dialects identification in the greater china region. Int J Nat Lang Comput. 2016;5:6.Zaghouani W, Charfi A. Arapâ tweet: a large multiâ dialect twitter corpus for gender, age and language variety identification. In: Proceedings of the 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaghouani W, Charfi A. Guidelines and annotation framework for Arabic author profiling. In: Proceedings of the 3rd workshop on open-source Arabic corpora and processing tools, 11th international conference on language resources and evaluation (LREC), Miyazaki, Japan; 2018.Zaidan OF, Callison-Burch C. Arabic dialect identification. Comput Ling. 2014;40(1):171–202.Zampieri M, Gebre B. Automatic identification of language varieties: the case of Portuguese. In: The 11th conference on natural language processing (KONVENS). Osterreichischen Gesellschaft fur Artificial Intelligende (OGAI); 2012. pp 233–237.Zampieri M, Malmasi S, Ljubešić N, Nakov P, Ali A, Tiedemann J, Scherrer Y, Aepli N. Findings of the vardial evaluation campaign 2017. In: Proceedings of the fourth workshop on NLP for similar languages, varieties and dialects; 2017. pp 1–15
The long-wavelength view of GG Tau A: rocks in the ring world
No full textWe present the first detection of GG Tau A at centimetre wavelengths, made with the Arcminute Microkelvin Imager Large Array at a frequency of 16 GHz (λ = 1.8 cm). The source is detected at >6 σrms with an integrated flux density of S16GHz = 249 ± 45 µJy. We use these new centimetre-wave data, in conjunction with additional measurements compiled from the literature, to investigate the long-wavelength tail of the dust emission from this unusual protoplanetary system. We use an MCMC-based method to determine maximum likelihood parameters for a simple parametric spectral model and consider the opacity and mass of the dust contributing to the microwave emission. We derive a dust mass of Md ~ 0.1 Msun, constrain the dimensions of the emitting region and find that the opacity index at λ > 7 mm is less than unity, implying a contribution to the dust population from grains exceeding ~4 cm in size. We suggest that this indicates coagulation within the GG Tau A system has proceeded to the point where dust grains have grown to the size of small rocks with dimensions of a few centimetres. Considering the relatively young age of the GG Tau association in combination with the low derived disc mass, we suggest that this system may provide a useful test case for rapid core accretion planet formation models
. 1093 Año 22 (2023) septiembre. El Tlacuache
No full textLos análisis arqueológicos que hemos avanzado durante una década en Tlayacapan, Morelos, nos ha mostrado una muy larga secuencia de ocupaciones humanas desde hace más de dos mil años.- Las nubes en cajetes del Posclásico Temprano en Tlayacapan, Morelos por Raúl Francisco González Quezada.Anders, Ferdinand; Maarten Jansen y Luis Reyes García
1993 Los Templos del Cielo y de la Oscuridad. Oráculos y liturgia. Libro explicativo del llamado Códice Borgia. Fondo de Cultura Económica. México.
Canto Aguilar, Giselle y Georgia Yris Bravo López
2017 La cerámica Plumbate en el Yohualtépetl. El Tlacuache, Suplemento Cultural. El Sol de Cuernavaca. No. 808:31-33.
Córdova Tello, Mario y Carolina Meza Rodríguez
2007 Chalcatzingo, Morelos, un discurso sobre piedras. Arqueología Mexicana. No 87:60-65.
Escalante Gonzalbo, Pablo
2018 Representación y visión de las nubes. Tradición indígena y creencias cristianas. Fundación Amparo IAP. Puebla.
González Quezada, Raúl Francisco y Steffany Martínez Gómez
2017 Arqueoastronomía, ciclo agrícola y asentamiento en el sitio arqueológico El Tlatoani, Tlayacapan, Morelos. Anthila. No. 16:4-26.
González Rocha, Edith; Rosa Cerros Tlatilpa; Adolfo Espejo Serna y Ana Rosa López Ferrari
2015 Tillandsia chalcatzingensis, a new species from the state of Morelos, Mexico. Phytotaxa. Vol. 227. No. 2:182-188.
Hernández, Carlos; Robert H Cobean; Alba Guadalupe Mastache y María Elena Suárez
1999 Un taller de alfareros en la antigua ciudad de Tula. Arqueología. No. 22:69-87.López Austin, Alfredo y Leonardo López Luján
2009 Monte Sagrado, Templo Mayor, México, Instituto de Investigaciones Antropológicas. UNAM.
Méndez Cuautitla, Jorge Antonio
2017 Las efigies Tláloc. Nueva propuesta tipológica para el símbolo emblema del Estado teotihuacano. Ponencia presentada en la 6ª Mesa Redonda Teotihuacán: Orígenes, Auge, Colapso y Herencia. Mesa 1. Parte 3. Orígenes del Estado: formación y desarrollo del centro ceremonial. (visitado el 10 de marzo de 2023 en bit.ly/47YfcEU).
Molina, Fray Alonso de
1970 Vocabulario en Lengua Mexicana/Castellana. Porrúa. México.
Molina López, Jesús Severo
2019 Una escultura del Posclásico temprano. El Tlacuache, Suplemento Cultural. El Sol de Cuernavaca. No. 870:23-26.
Reilly, F. Kent, III
1996 The Lazy-S: A Formative Period Iconographic Loan to Maya Hieroglyphic Writing. En Eighth Palenque Round Table, 1993. Merle Green Robertson, Martha J. Macri, y Janet McHargue (editores). Pp. 413-424. Pre-Colombian Art Research Institute. San Francisco.
Smith, Michael E.; Timothy S. Hare y Lisa M. Montiel
2006 Reconocimiento superficial del valle de Yautepec, Morelos: Informe Final. Archivo del Consejo Nacional de Arqueología. Ciudad de México.Paisaje de la sierra de Tlayacapan con el cielo nublado, en la parte central izquierda se advierte el cerro Cihuapapalotzin y en la baja derecha se advierte la pequeña elevación llamada Tezontlala (Fondo PICZAT 2012). Paisaje desde la sierra de Tlayacapan hacia la Sierra Nevada con el volcán Popocatépetl al centro, con un ambiente nublado y actividad volcánica (Fondo PICZAT 2012)
El Tlacuache Núm. 537 (2012). 537 Año 13 (2012) septiembre. El Tlacuache
No full textEn recuerdo de Norberto González por Fernando Sánchez Martínez. -Hasta pronto Norberto por Luis Miguel Morayta M. -La memoria de un arqueólogo: Norberto González Crespo en Xochicalco por Erick Alvarado Tenorio. -Xochicalco y sus hallazgos faunísticos por Eduardo Corona Martínez. -Norberto por Pedro Francisco Sánchez Nava
Overview of the Author Profiling Task at PAN 2013
No full text[EN] This overview presents the framework and results for the Author Profiling
task at PAN 2013. We describe in detail the corpus and its characteristics,
and the evaluation framework we used to measure the participants performance to
solve the problem of identifying age and gender from anonymous texts. Finally,
the approaches of the 21 participants and their results are described.The author profiling task @PAN-2013 was an activity of the WIQ-EI IRSES project (Grant No. 269180) within the FP 7 Marie Curie People Framework of the European Commission. We want to thank the Forensic Lab of the Universitat Pompeu Fabra Barcelona for sponsoring the award for the winner team. The work of the first author was partially funded by Autoritas Consulting SA and by Ministerio de Economía y Competitividad de España under grant ECOPORTUNITY IPT-2012-1220-430000. The work of the second author was in the framework the DIANA-APPLICATIONS-Finding Hidden Knowledge in Texts: Applications (TIN2012-38603-C02-01) project, and the VLC/CAMPUS Microcluster on Multimodal Interaction in Intelligent Systems. The work of fifth author was funded in part by the Swiss National Science Foundation (SNF) project "Mining Conversational Content for Topic Modelling and Author Identification (ChatMiner)" under grant number 200021_130208.Rangel, F.; Rosso, P.; Koppel, M.; Stamatatos, E.; Inches, G. (2013). Overview of the Author Profiling Task at PAN 2013. CLEF Conference on Multilingual and Multimodal Information Access Evaluation. 352-365. https://riunet.upv.es/handle/10251/46636S35236
- …
