Hotspot or blind spot? Historical perspectives on surveillance and response to epidemics in the Central African Republic
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Public Health"
DOI: 10.1007/s00038-020-01338-x
Abstract: Objectives The Central African Republic (CAR), a site of recurrent disease emergence, developed a noteworthy epidemiological surveillance system from the colonial period, but its health measures have remained among the world’s lowest. To understand this… read more here.
Keywords: surveillance; central african; health; blind spot ... See more keywords
Managing public space – A blind spot of urban planning and design
Sign Up to like & getrecommendations! Published in 2020 at "Cities"
DOI: 10.1016/j.cities.2020.103032
Abstract: Abstract Managing public space is a big and important blind spot of urban and regional planning and design. Important, because major transition challenges, such as climate adaptation, energy transition, circular economy, mobility, and governance require… read more here.
Keywords: blind spot; space; planning design; spot urban ... See more keywords
The N6-Position of Adenine Is a Blind Spot for TAL-Effectors That Enables Effective Binding of Methylated and Fluorophore-Labeled DNA.
Sign Up to like & getrecommendations! Published in 2017 at "ACS chemical biology"
DOI: 10.1021/acschembio.7b00324
Abstract: Transcription-activator-like effectors (TALEs) are programmable DNA binding proteins widely used for genome targeting. TALEs consist of multiple concatenated repeats, each selectively recognizing one nucleobase via a defined repeat variable diresidue (RVD). Effective use of TALEs… read more here.
Keywords: adenine blind; adenine; position adenine; dna ... See more keywords
Objectivity is a Myth for You but Not for Me or Police: A Bias Blind Spot for Viewing and Remembering Criminal Events
Sign Up to like & getrecommendations! Published in 2018 at "Psychology, Public Policy, and Law"
DOI: 10.1037/law0000168
Abstract: Now more than ever, people have access to police footage, yet people still disagree about what some footage depicts. This is not surprising given that research on attention, perception, and memory demonstrates that motivations, biases,… read more here.
Keywords: footage; blind spot; police; bias blind ... See more keywords
From blind spot to hotspot: representations of the ‘immigrant others’ in Norwegian curriculum/schoolbooks (1905-2013)
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Curriculum Studies"
DOI: 10.1080/00220272.2020.1734665
Abstract: ABSTRACT Tracing the representation of the ‘immigrant others’ in Norwegian schoolbooks over the past century, the paper examines their exclusion/inclusion in national curriculum/learning materials. It finds that a shift has occurred in the country’s national… read more here.
Keywords: curriculum; others norwegian; blind spot; immigrant others ... See more keywords
Unilateral Acute Idiopathic Blind Spot Enlargement following Second Dose of Covid-19 mRNA Vaccine.
Sign Up to like & getrecommendations! Published in 2022 at "Ocular immunology and inflammation"
DOI: 10.1080/09273948.2022.2090964
Abstract: Acute idiopathic blind spot enlargement (AIBSE) is a rare condition which is poorly understood. To our knowledge, this is the first report of acute idiopathic blind spot enlargement following covid-19 vaccination. We believe there is… read more here.
Keywords: spot enlargement; idiopathic blind; blind spot; acute idiopathic ... See more keywords
Shedding light on a HIV blind spot: Factors associated with men’s HIV testing in five African countries
Sign Up to like & getrecommendations! Published in 2019 at "Global Public Health"
DOI: 10.1080/17441692.2019.1583266
Abstract: ABSTRACT Men’s relatively low rates of HIV testing has been termed the ‘HIV blind spot’ and recently declared by UNAIDS as a top priority. This study uses data from five nationally representative Demographic and Health… read more here.
Keywords: associated men; hiv testing; hiv blind; factors associated ... See more keywords
Anything You Can Do, I Can Do Better: Bias Awareness in Forensic Evaluators
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Forensic Psychology Research and Practice"
DOI: 10.1080/24732850.2017.1413532
Abstract: ABSTRACT Psychologists and other mental health professionals are frequently called upon by the courts to provide professional opinions on a multitude of psycholegal issues in civil and criminal proceedings. With the expectation for sound, objective… read more here.
Keywords: research; bias awareness; introspection; blind spot ... See more keywords
Revisiting the blind spot of substandard and fake drugs as drivers of antimicrobial resistance in LMICs
Sign Up to like & getrecommendations! Published in 2023 at "Annals of Medicine and Surgery"
DOI: 10.1097/ms9.0000000000000113
Abstract: One of the most significant risks to public health is ongoing antimicrobial resistance (AMR). Substandard and fraudulent medications, particularly in low- and middle-income countries (LMICs), are thought to have a role in the genesis and… read more here.
Keywords: blind spot; revisiting blind; spot substandard; antimicrobial resistance ... See more keywords
Speckle2Void: Deep Self-Supervised SAR Despeckling With Blind-Spot Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3065461
Abstract: Information extraction from synthetic aperture radar (SAR) images is heavily impaired by speckle noise, and hence, despeckling is a crucial preliminary step in scene analysis algorithms. The recent success of deep learning envisions a new… read more here.
Keywords: self supervised; blind spot; sar images; speckle2void deep ... See more keywords
BSnet: An Unsupervised Blind Spot Network for Seismic Data Random Noise Attenuation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3179718
Abstract: Existing deep learning-based seismic data denoising methods mainly involve supervised learning, in which a denoising network is trained using a large amount of noisy input/clean label pairs. However, the scarcity of high-quality clean labels in… read more here.
Keywords: network; blind spot; noise; random noise ... See more keywords