Washington Research Library Consortium - Digital Collections
Not a member yet
125665 research outputs found
Sort by
View of Dio Wine Bar on H Street NE
No full textView of Dio Wine Bar on H Street NE. The doors have been covered in plywood due to a burglary on April 14, 2020. The plywood has been covered in spray-paint designs and instructions on pickup and delivery. The instructions read ' Pick up 1-3:30 Delivery 4-8 shopdiowinebar.com'. The door to the left is propped open with a cinder block and a sign to customers is posted. Just inside a table is set up to assist customers
Yard sign
No full textYard sign outside of a house at Potomac Avenue and G Street SE. The sign reads, 'Thank you essential workers!
Man in mask at a medical office
No full textMan in mask sits in a chair at a medical office in West End, DC. He faces away from the camera, toward a computer screen near the window
Deep learning for feature extraction in remote sensing: a case-study of aerial scene classification
No full textSensors (Switzerland), Volume 20, Issue 14, 2 July 2020, Article number 3906, Pages 1-22.: Scene classification relying on images is essential in many systems and applications related
to remote sensing. The scientific interest in scene classification from remotely collected images is
increasing, and many datasets and algorithms are being developed. The introduction of convolutional
neural networks (CNN) and other deep learning techniques contributed to vast improvements in
the accuracy of image scene classification in such systems. To classify the scene from areal images,
we used a two-stream deep architecture. We performed the first part of the classification, the feature
extraction, using pre-trained CNN that extracts deep features of aerial images from different network
layers: the average pooling layer or some of the previous convolutional layers. Next, we applied
feature concatenation on extracted features from various neural networks, after dimensionality
reduction was performed on enormous feature vectors. We experimented extensively with different
CNN architectures, to get optimal results. Finally, we used the Support Vector Machine (SVM)
for the classification of the concatenated features. The competitiveness of the examined technique
was evaluated on two real-world datasets: UC Merced and WHU-RS. The obtained classification
accuracies demonstrate that the considered method has competitive results compared to other
cutting-edge techniques
Exterior view of PNC Bank
No full textExterior view of PNC Bank and two ATMs on H Street NE. The deposit box is covered with duct tape as a safety precaution
Corruption in Russia: IKEA's expansion to the East (A-D)
No full textThis four-part case series can be used to discuss business ethics, compliance/governance, integrity management, reacting to and preparing against corruption in the context of internationalization and allows to also briefly touching upon the issue of Corporate Social Responsibility (CSR). Case (A) describes a challenge IKEA was facing, while trying to enter Russia in 2000. The company was preparing to open its first flagship store on the outskirts of Moscow, only the first of several planned projects. After substantial investments in infrastructure and logistics, IKEA focused on marketing, but quickly faced a sudden complication. Its major ad campaign in the Moscow Metro with the slogan "[e]very 10th European was made in one of our beds" was labeled "tasteless". IKEA had to stop the campaign because it "couldn't prove" the claim. Soon Lennart Dahlgren, the first general manager of IKEA in Russia must have realized that the unsuccessful ad campaign was going to be the least of his problems: A few weeks before the planned opening, the local utility company decided not to provide their services for the store if IKEA did not pay a bribe. What should IKEA and Lennart Dahlgren do? Was there any alternative to playing the game the Russian way, and paying? The subsequent cases (B), (C), and (D) describe IKEA's creative response to the challenges described in case (A), and then report about new challenges with alleged corruption within IKEA and in the legal environment, and finally raise the question whether IKEA can be considered to have a (corporate social) responsibility to fight corruption on a societal level in order to build the platform for its own operation in Russia. This four-part case series can be used to discuss business ethics, compliance/governance, integrity management, reacting to and preparing against corruption in the context of internationalization and allows to also briefly touching upon the issue of Corporate Social Responsibility (CSR)
Sign offering free snacks for delivery workers
No full textSign offering free snacks for delivery workers and a note of appreciation at the Car Barn Condominiums
El hemisferio en transformación: regionalismo, multilateralismo y políticas exteriores en un entorno cambiante
No full textPensamiento Propio, Issue 39, January-June 2014.PUBLICACION TRILINGÜE DE CIENCIAS SOCIALES DE AMERICA LATINA Y EL CARIBE
Do sexual partners talk to each other about HIV?: exploring factors associated with HIV-related partner communication among men and women in Tanzania
No full textAIDS and Behavior, Volume 24, Issue 3, 1 March 2020, Pages 891-902.Communication between sexual partners is an important component of HIV prevention and occurs within a broader context of socio-culturally defined gender norms and dynamics. We analyzed cross-sectional data from a community-based random sample of men and women living in Kisarawe, Tanzania to understand factors related to partner communication about HIV. Bivariate and multivariate logistic regression analyses, disaggregated by gender, included variables at the individual-, relational-, and community-levels. Individuals who knew their HIV-positive status prior to the study were excluded as the focus was on risk communication, not HIV status disclosure. Of 524 participants, 129 women (43.3%) and 96 men (42.5%) reported HIV-related communication with their most recent sexual partner. For women but not men, individual-level socioeconomic factors—including education, possession of a household radio, and employment—and relational-level factors—including partner age and type—were significantly associated with partner communication. At the community level, being socially engaged was positively correlated with partner communication across genders (aOR = 2.02, 95% CI 1.05–3.89, p = 0.03 for men and aOR = 1.74, 95% CI 1.03–2.95, p = 0.04 for women). For women, having less discriminatory attitudes toward people living with HIV and favorable perceived norms of HIV-related communication were significantly associated with partner communication. For men, agreeing that women should be allowed to work outside the home was significantly correlated with partner communication (aOR = 6.02, 95% CI 2.23–16.24, p < 0.001). Findings suggest a link between gender dynamics and partner communication, with individual and relational factors being associated with communication for women and community-level factors being associated with communication for both genders
Border residents' perceptions of crime and security in El Paso, Texas
No full textSocial Sciences, Volume 9, Issue 3, 1 March 2020, Article number 24.Research has continued to show the overall safety of the U.S. border region contrary to the widespread belief about the insecurity of the U.S.-Mexico border and frequent claims for the need to secure the border in order to prevent the spread of violence into the rest of the country. Rarely do we ask how border residents feel about safety and crime, which could shed significant light on the claims that the border is an insecure warzone posing a threat to the entire country. While calls to secure national borders are common, outsiders' perceptions of an unsafe border are not supported by official crime rates and statistics, Border Patrol apprehensions, or the everyday experiences of people in American cities along the U.S.-Mexico border. This paper investigates the perception of crime and security, as expressed by the residents of El Paso, Texas, a large city located along the U.S.-Mexico border and directly across from Ciudad Juarez, Mexico. Data come from a National Institutes of Health (NIH) funded survey that asked 919 residents about their perceptions of crime, sense of security and safety in their neighborhood and the city in general. The results show that the overwhelming majority of border city residents feel safe and that those who are undocumented and raised in El Paso are the most likely to report feeling safe or very safe. We also find that the foreign-born population had a statistically significant lower felony conviction rate than those who were U.S.-born, an important qualifier in discussions over immigration and its connection with violence and crime. Contrary to sensationalized claims about border violence, residents of El Paso do not display any of the sense of insecurity experienced in neighboring Ciudad Juarez, Mexico. We present hypotheses about possible causes for these low levels of violence in the U.S.-side of the border and discuss the dissonance between the reality on the border and perception outside of the border region