Results 61 to 70 of about 1,521,472 (318)
Clustering Nursing Sentences – Comparing Three Sentence Embedding Methods
In health sciences, high-quality text embeddings may augment qualitative data analysis of large amounts of text by enabling, e.g., searching and clustering of health information. This study aimed to evaluate three different sentence-level embedding methods in clustering sentences in nursing narratives from individual patients’ hospital care episodes ...
Suhonen, Henry +5 more
openaire +5 more sources
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source
Special Sentence Revocations High, Data Download, Iowa Department of Corrections, May 2010 [PDF]
In addition to their original sentence, persons convicted of sexual abuse, incest or sexual exploitation of a minor also receive a “special sentence” of ten years, or in some cases, life.
core
Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann +26 more
wiley +1 more source
Evaluating Evidence of Childhood Abuse as a Function of Expert Testimony, Judge’s Instructions, and Sentence Recommendation [PDF]
In the current study we examined how jurors utilize evidence of childhood abuse as a function of expert testimony and sentence recommendation. We also varied the specificity of instructional language in the context of mitigating circumstances.
Konstantopoulou, Fotine +1 more
core +1 more source
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park +7 more
wiley +1 more source
THE STUDENTS’ ABILITY OF USING TRANSITION SIGNALS AS SENTENCE CONNECTORS IN PARAGRAPH [PDF]
This study is conducted to describe the students’ ability of using transition signals as sentence connectors in paragraph. By knowing the students’ ability of using transition signals as sentence connectors in paragraph, it is expected that the teacher ...
DWI HARTATI, WILLIS
core
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
MODAL ADVERB TRANSPOSITION IN OLD ENGLISH
he present paper is based on the proposed classif cation of modal verbs in Old English and examines their relationship in the sentence and discourse structure.
V.V. Mykhaylenko
doaj
Focalisation averbale vs focalisation verbale en français parlé
The aim of this paper is to compare two types of (syntactic) structures which are frequently used in spoken French. While they are both uttered in two parts, one structure contains a verb and the other is based on a verbless element:[a] à la caisse ils ...
Noalig Tanguy
doaj +1 more source

