Interventions for improving outcomes in patients with multimorbidity in primary care and community settings
… We searched the following electronic databases without language restrictions up to 28 … Two
review authors (SS, HS, or EW) ) independently screened all citations found by the electronic …
review authors (SS, HS, or EW) ) independently screened all citations found by the electronic …
Bisphenol A exposure, effects, and policy: a wildlife perspective
S Flint, T Markle, S Thompson, E Wallace - Journal of environmental …, 2012 - Elsevier
Thousands of anthropogenic chemicals are present in the environment, and mounting
evidence indicates that some have endocrine-disrupting effects in a variety of organisms. Of …
evidence indicates that some have endocrine-disrupting effects in a variety of organisms. Of …
Stillbirths: recall to action in high-income countries
Variation in stillbirth rates across high-income countries and large equity gaps within high-income
countries persist. If all high-income countries achieved stillbirth rates equal to the best …
countries persist. If all high-income countries achieved stillbirth rates equal to the best …
Development of a fatigue scale
A self-rating scale was developed to measure the severity of fatigue. Two-hundred and
seventy-four new registrations on a general practice list completed a 14-item fatigue scale. In …
seventy-four new registrations on a general practice list completed a 14-item fatigue scale. In …
Autoprompt: Eliciting knowledge from language models with automatically generated prompts
The remarkable success of pretrained language models has motivated the study of what
kinds of knowledge these models learn during pretraining. Reformulating tasks as fill-in-the-…
kinds of knowledge these models learn during pretraining. Reformulating tasks as fill-in-the-…
Extracting training data from large language models
It has become common to publish large (billion parameter) language models that have been
trained on private datasets. This paper demonstrates that in such settings, an adversary can …
trained on private datasets. This paper demonstrates that in such settings, an adversary can …
Rapid Detection of Mycobacterium tuberculosis and Rifampin Resistance by Use of On-Demand, Near-Patient Technology
…, M Jones, E Story, C Boehme, E Wallace… - Journal of clinical …, 2010 - Am Soc Microbiol
Current nucleic acid amplification methods to detect Mycobacterium tuberculosis are
complex, labor-intensive, and technically challenging. We developed and performed the first …
complex, labor-intensive, and technically challenging. We developed and performed the first …
Calibrate before use: Improving few-shot performance of language models
GPT-3 can perform numerous tasks when provided a natural language prompt that contains
a few training examples. We show that this type of few-shot learning can be unstable: the …
a few training examples. We show that this type of few-shot learning can be unstable: the …
Extracting training data from diffusion models
Image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have attracted
significant attention due to their ability to generate high-quality synthetic images. In this work, we …
significant attention due to their ability to generate high-quality synthetic images. In this work, we …
IL‐22 regulates the expression of genes responsible for antimicrobial defense, cellular differentiation, and mobility in keratinocytes: a potential role in psoriasis
K Wolk, E Witte, E Wallace, WD Döcke… - European journal of …, 2006 - Wiley Online Library
IL‐22 is an IFN–IL‐10 cytokine family member, which is produced by activated Th1 and NK
cells and acts primarily on epithelial cells. Here we demonstrate that IL‐22, in contrast to its …
cells and acts primarily on epithelial cells. Here we demonstrate that IL‐22, in contrast to its …