Results 161 to 170 of about 229,295 (345)

NHIS summary data report for the Vision & Eye Health Surveillance System [PDF]

open access: yes
The main objective of the National Health Interview Survey (NHIS) is to monitor the health of the United States population through the collection and analysis of data on a broad range of health topics.

core  

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

Pharmacological inhibition of the PERK pathway modulates hepatocellular carcinoma growth and immune signaling

open access: yesFEBS Open Bio, EarlyView.
Pharmacological inhibition of PERK in a DEN‐induced mouse model of liver cancer does not reduce tumor burden but alters cellular stress signaling. Despite blocking PERK activity, downstream stress responses, including CHOP expression, remain active, suggesting compensatory mechanisms within the unfolded protein response that may influence tumor ...
Ada Lerma‐Clavero   +5 more
wiley   +1 more source

2016 IRIS\uae Registry summary data report for the Vision & Eye Health Surveillance System [PDF]

open access: yes
Compiled by the American Academy of Ophthalmology (AAO), IRIS\uae Registry (Intelligent Research In Sight) is the nation\u2019s first comprehensive eye disease clinical registry.

core  

Versatile vector tools for efficient protein screening across multiple expression systems

open access: yesFEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu   +5 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach

open access: yesJMIR Formative Research
BackgroundIn an era dominated by social media conversations, it is pivotal to comprehend how suicide, a critical public health issue, is discussed online.
Hamideh Ghanadian   +2 more
doaj   +1 more source

Strategies for Improving Semi-automated Topic Classification of Media and Parliamentary documents

open access: yes, 2009
Since 1995 the techniques and capacities to store new electronic data and to make it available to many persons have become a common good. As of then, different organizations, such as research institutes, universities, libraries, and private companies ...
Then, H.   +5 more
core  

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Document sentiment modeling based on topic attention hierarchy memory network

open access: yes四川大学学报. 自然科学版, 2019
To the problem of prior knowledge and lack of semantic understanding in the traditional model of document level sentiment analysis, this paper proposes an sentiment analysis model called TWEANN(Attention Neural Networks based on Topicenhanced Word ...
liuguangfeng   +3 more
doaj  

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