12,833 research outputs found
Faces from Time magazine 1923-2014
No full textDataset1.csv:
In this set, we extract 327,322 faces from our entire collection of 3389 issues, and automatically classified each face as male or female. We present this data as a single table with columns identifying the date, issue, page number, the coordinates identifying the position of the face on the page, and classification (male or female). The coordinates identifying the position of the face on the page are based on the size and resolution of the pages found in the “Time Vault”.
Dataset 2.csv:
Dataset 2 consists of 8,789 classified faces from 100 selected issues. Human labor was used to identify and extract 3,299 face images from 39 issues, which were later classified by another set of workers. This selection of 39 issues contains one issue per decade spanned by the archive plus one issue per year between 1961 and 1991, and the extracted face images were used to train the face extraction algorithm. The remaining 5,490 faces from 61 issues were extracted via machine learning before being classified by human coders. These 61 issues were chosen to complement the first selection of 39 issues: one issue per year for all years in the archive excluding those between 1961 and 1991. Thus, Dataset 2 contains fully-labelled faces from at least one issue per year
Dataset: Faces extracted from Time Magazine 1923-2014
No full textThe data presented here consists of three parts:
Dataset 1:
In this set, we extract 327,322 faces from our entire collection of 3389 issues, and automatically classified each face as male or female. We present this data as a single table with columns identifying the date, issue, page number, the coordinates identifying the position of the face on the page, and classification (male or female). The coordinates identifying the position of the face on the page are based on the size and resolution of the pages found in the “Time Vault”.
Dataset 2:
Dataset 2 consists of 8,789 classified faces from 100 selected issues. Human labor was used to identify and extract 3,299 face images from 39 issues, which were later classified by another set of workers. This selection of 39 issues contains one issue per decade spanned by the archive plus one issue per year between 1961 and 1991, and the extracted face images were used to train the face extraction algorithm. The remaining 5,490 faces from 61 issues were extracted via machine learning before being classified by human coders. These 61 issues were chosen to complement the first selection of 39 issues: one issue per year for all years in the archive excluding those between 1961 and 1991. Thus, Dataset 2 contains fully-labelled faces from at least one issue per year.
Dataset 3:
In the interest of transparency, Dataset 3 consists of the raw data collected to create Dataset 2, and consists of 2 tables. Before explaining these tables we first briefly describe our data collection and verification procedures, which have been fully described elsewhere.
A custom AMT interface was used to enable human labors to classify faces according the categories in Table 4. Each worker was given a randomly-selected batch of 25 pages, each with a clearly highlighted face to be categorized, of which three pages were verification pages with known features, which were used for quality control. Each face was labeled by two distinct human coders, determined at random so that the paring of coders varied with the image. A proficiency rating was calculated for each coder by considering all images they annotated and computing the average number of labels that matched those identified by the image’s other coder. The tables in Dataset 2 were created by resolving inconsistencies between the two image coders by selecting the labels from the coder with the highest proficiency rating. Prior to calculating the proficiency score, all faces that were tagged as having ‘Poor’ or ‘Error’ image quality by either of the two coders were eliminated. Due to technical bugs when the AMT interface was first implemented, a small number of images were only labeled once; these were also eliminated from Datasets 2 and 3.
In Dataset 3, we present the raw annotations for each coder that tagged each face, along with demographic data for each coder. Dataset 3 consists of two tables: the raw data from each of the two sets of coders, and the demographic information for each of the coders
Una aproximación al estudio de la inmigración balear en la argentina (1860-1960)
No full textFil: Jofre Cabello, Ana. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina
Relaciones migratorias, Argentina-España (1860-1960): de la inmigración a la emigración...
No full textFil: Jofre, Nélida Ana. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.Datos extraídos del Programa de Incentivos a Docentes-Investigadores, Secretaría de Políticas Universitarias, Ministerio de Educación, Ciencia y Tecnología, Argentina. Disponible en http://incentivos.spu.edu.ar, consulta realizada el 10 de octubre de 2007.Entre llaves se indican las correcciones tipográficas y/o gramaticales y el texto completo de abreviaturas
A Master’s Project Presented to Information Design and Technology Program In Partial Fulfillment of the Requirements for the Master of Science Degree
Full text linkThis research project is a prototype of a mobile application that would be dedicated to the Syracuse University faculty members and students and serve as service mobile app providing helpdesk support for classroom technology issues. The development of this mobile application uses Universal Design Principles focuses on Human-Centered Design theory, and the app build upon a user’s needs. The prototype has been created using Adobe XD, the prototypes are made to be high fidelity and fully interactive so it can be used for usability test.
This research project paper intends to determine the benefit of using mobile app for helpdesk support during the COVID-19 pandemic, and to find out if using helpdesk mobile app could enhance IT services and the time needed to response to classroom technology issue. The fully interactive prototype can be viewed through the link below:
https://xd.adobe.com/view/138af8a5-29bd-4571-ac9c-1fc76adff40a-46d9/?fullscreen&hints=offNASUNY Polytechnic InstituteInformation Design and Technology ProgramN/
A Master's Thesis Presented to School of Arts and Science State University of New York Polytechnic Institute In Partial Fulfillment of the Requirements for the Master of Science Degree
No full textThis paper explores the relationship between brand development and customer engagement. Customer brand engagement and customer engagement theories and models are examined through existing literature. Concrete steps to advance customer engagement are identified. Artifacts are created as part of a comprehensive branding package to guide a children's museum, Oneonta World of Learning (OWL), through their branding process.NASUNY Polytechnic InstituteInformation Design and Technology ProgramM
A Master's Project Presented to Information Design and Technology Program, SUNY Polytechnic Institute, In Partial Fulfillment of the Requirements for the Master of Science Degree
No full textThe purpose of this study is to determine what the key motivational factors for creating a live stream gaming channel in the wake of a global pandemic are. This is executed by generating a series of podcast interviews from live streamers, generating branding for the launch of a live stream gaming channel and launching the channel. With the world in a current state of emergency, the live streaming industry under Twitch.tv has boomed, giving streamers and viewers alike an opportunity to interact, communicate, and form communities like never before in the shadow of these pressing times. In light of this, we seek an escape from the harsh reality that is quarantine and find comfort in engaging with others all the while having fun indoors.NASUNY Polytechnic InstituteInformation Design and Technology ProgramM
A Master's Project Presented to Information Design and Technology Program, SUNY Polytechnic Institute, in Partial Fulfillment of the Requirements for the Master of Science Degree
No full textgoal of this project is to design a user-friendly mobile application prototype for people who are disadvantaged by the digital divide. This includes people who are of lower income and those who live in areas where internet isn't accessible or expensive. This application can be accessed through IOS devices as well as a text messaging service system for those without said device. It is an application that will be extremely easy to use and manage, and where users will be able to access multiple resources to gain not only digital literacy but find places that offer computer labs and internet for free, in case neither is available at home. The mobile application's goal is to create resource where the user has everything, they need in a way that is easily accessible; a product that is not currently on the market.
In this paper, I will not only explore research on what the digital divide is, but also how it affects those who are disadvantaged by it and ways we can start to help narrow the gap. I will also explore the advantages of mobile applications and how it can be used to narrow the digital divide.NASUNY Polytechnic InstituteM
A Master's Thesis Project Presented to School of Arts and Science, SUNY Polytechnic Institute, In Partial Fulfillment of the Requirements for the Master of Science Degree
No full textSearching for pet owners' information on the world wide web can be difficult and confusing due to the many different websites on must scroll through depending on your search results. With the rise of social media, forums, online pet stores, and blogs there are more websites to look into. Although these websites have articles on pet information, they are often opinionated, lacking in follow up information or simply unfinished. This paper looks into the development of a site with the end users' navigation in mind for all their pets primary concerns. This website is made for user's accessing information about their pets. Using a classic template website builder, the site is able to be updated in real time with ease as more information becomes available. The website's user experience is evaluated by analyzing survey information. The end user experience, the most important aspect of any website, comprises navigation, clarity, and simplicity.
Prototype website link: https://soaj926.wixsite.com/mysite-2NASUNY Polytechnic InstituteInformation Design and Technology ProgramM
Differential stability of 2'F-ANA*RNA and ANA*RNA hybrid duplexes: roles of structure, pseudohydrogen bonding, hydration, ion uptake and flexibility
No full text14 pags., 7 figs., 3 tabs.Hybrids of RNA with arabinonucleic acids 2′F-ANA and ANA have very similar structures but strikingly different thermal stabilities. We now present a thorough study combining NMR and other biophysical methods together with state-of-the-art theoretical calculations on a fully modified 10-mer hybrid duplex. Comparison between the solution structure of 2′F-ANA•RNA and ANA•RNA hybrids indicates that the increased binding affinity of 2′F-ANA is related to several subtle differences, most importantly a favorable pseudohydrogen bond (2′F-purine H8) which contrasts with unfavorable 2′-OH-nucleobase steric interactions in the case of ANA. While both 2′F-ANA and ANA strands maintained conformations in the southern/eastern sugar pucker range, the 2′F-ANA strand's structure was more compatible with the A-like structure of a hybrid duplex. No dramatic differences are found in terms of relative hydration for the two hybrids, but the ANA•RNA duplex showed lower uptake of counterions than its 2′F-ANA•RNA counterpart. Finally, while the two hybrid duplexes are of similar rigidities, 2′F-ANA single strands may be more suitably preorganized for duplex formation. Thus the dramatically increased stability of 2′F-ANA•RNA and ANA•RNA duplexes is caused by differencesin at least four areas, of which structure and pseudohydrogen bonding are the most important. © The Author(s) 2010. Published by Oxford University Press.Spanish Ministerio de Ciencia e Innovacion (grants
CTQ2007-68014-C02-02 to CG and BIO2009-10964 to
MO); Fundacion Marcelino Botin (grant to MO);
Canadian Institutes for Health Research (grant to
M.J.D.); Natural Sciences and Engineering Research
Council of Canada (postgraduate scholarship to
J.K.W.). Funding for open access charge: Canadian
Institutes for Health Research
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