Results 1 to 10 of about 1,611,042 (316)

Dementia and the SONG Laser Protocol: a clinical case study [PDF]

open access: yesCellR4, 2023
BACKGROUND: The aim of this case study was to investigate the safety and efficacy of the SONG Laser Protocol in the context of dementia. Our hypothesis is that the SONG Laser Protocol, when administered intravenously, may have a beneficial effect on the ...
T. Schroeder, T. Ovokaitys, P. Hollands
doaj   +1 more source

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2023
The quality of texts generated by natural language generation (NLG) systems is hard to measure automatically. Conventional reference-based metrics, such as BLEU and ROUGE, have been shown to have relatively low correlation with human judgments ...
Yang Liu   +5 more
semanticscholar   +1 more source

Co-creation of a training for community health workers to enhance skills in serving LGBTQIA+ communities

open access: yesFrontiers in Public Health, 2023
This paper describes creating and implementing a 30-h LGBTQIA+ specialty training for community health workers (CHWs). The training was co-developed by CHW training facilitators (themselves CHWs), researchers with expertise in LGBTQIA+ populations and ...
Vanessa Kitzie   +4 more
doaj   +1 more source

“Community health workers bring value and deserve to be valued too:” Key considerations in improving CHW career advancement opportunities

open access: yesFrontiers in Public Health, 2023
IntroductionCommunity health workers (CHWs) are critical members of the public health workforce, who connect the individuals they serve with resources, advocate for communities facing health and racial inequities, and improve the quality of healthcare ...
Julie Smithwick   +4 more
doaj   +1 more source

Getting aligned on representational alignment

open access: yesCoRR, 2023
Biological and artificial information processing systems form representations of the world that they can use to categorize, reason, plan, navigate, and make decisions. How can we measure the similarity between the representations formed by these diverse systems? Do similarities in representations then translate into similar behavior?
Sucholutsky, Ilia   +32 more
openaire   +4 more sources

Minimap2: pairwise alignment for nucleotide sequences [PDF]

open access: yesBioinform., 2017
Motivation Recent advances in sequencing technologies promise ultra-long reads of ∼100 kb in average, full-length mRNA or cDNA reads in high throughput and genomic contigs over 100 Mb in length.
Heng Li
semanticscholar   +1 more source

Multiple alignment by aligning alignments [PDF]

open access: yesBioinformatics, 2007
Abstract Motivation: Multiple sequence alignment is a fundamental task in bioinformatics. Current tools typically form an initial alignment by merging subalignments, and then polish this alignment by repeated splitting and merging of subalignments to obtain an improved final alignment. In general this form-and-polish strategy consists of
Travis J. Wheeler, John D. Kececioglu
openaire   +2 more sources

SIns: A Novel Insertion Detection Approach Based on Soft-Clipped Reads

open access: yesFrontiers in Genetics, 2021
As a common type of structural variation, an insertion refers to the addition of a DNA sequence into an individual genome and is usually associated with some inherited diseases.
Chaokun Yan   +5 more
doaj   +1 more source

Aligning alignments exactly [PDF]

open access: yesProceedings of the eighth annual international conference on Computational molecular biology - RECOMB '04, 2004
A basic computational problem that arises in both the construction and local-search phases of the best heuristics for multiple sequence alignment is that of aligning the columns of two multiple alignments. When the scoring function is the sum-of-pairs objective and induced pairwise alignments are evaluated using linear gap-costs, we call this problem ...
John D. Kececioglu, Dean Starrett
openaire   +1 more source

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks [PDF]

open access: yesIEEE Signal Processing Letters, 2016
Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations, and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks.
Kaipeng Zhang   +3 more
semanticscholar   +1 more source

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