Results 71 to 80 of about 3,068 (277)

ANAIiYTISCHE CHARAKTERISİERUNG EÎN ER BODENKATENA AUS GRANİT IN NORD - THRAKISCHEN GEBIRGSLANDSCHAFT - T Ü R K Eİ

open access: yesForestist, 1981
Im Nord - Thraklen sin d die Ortsueise verbreltende Granit-, Granodiorit - und Quarzdiorit als Granit bezeichnet. Grösste Granitgebiet 'liegt in der Umgebung von Demirköy.
M. Doğan KANTARCI
doaj   +2 more sources

Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein

open access: yesFEBS Letters, EarlyView.
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux   +7 more
wiley   +1 more source

Re-Rankers as Relevance Judges

open access: yesCoRR
Using large language models (LLMs) to predict relevance judgments has shown promising results. Most studies treat this task as a distinct research line, e.g., focusing on prompt design for predicting relevance labels given a query and passage. However, predicting relevance judgments is essentially a form of relevance prediction, a problem extensively ...
Chuan Meng   +5 more
openaire   +3 more sources

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

A Multi-Objective Scoring Approach to Contract and Exposure-Aware Re-Ranking in Real-Estate Recommendation

open access: yesInformation
Large online marketplaces increasingly rely on multi-stage ranking pipelines where a learned relevance model is complemented by business-aware constraints such as contractual pacing, exposure caps and commercial alignment objectives.
Bogdan Arct   +7 more
doaj   +1 more source

Initial Embeddings for Neural Invariant Ranker

open access: yes, 2023
<p>These are the initial embeddings from `davinci-similarity` model for the <a href="https://arxiv.org/pdf/2310.09342.pdf" target="_blank" rel="noopener">Neural Invariant Ranker.</a></p> <p> </p> <p>The
Sharma, Rahul   +8 more
core   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

open access: yesMolecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner   +14 more
wiley   +1 more source

Enhanced Search Engine Using Proposed Framework and Ranking Algorithm Based on Semantic Relations

open access: yesIEEE Access, 2019
Today, most users need search engines to facilitate search and information retrieval processes. Unfortunately, traditional search engines have a significant challenge that they should retrieve high-precision results for a specific unclear query at a ...
M. M. El-Gayar   +3 more
doaj   +1 more source

Education Quality Ranker: A Novel Internet-Scale, Graph-Learning-Based, and Multi-View Quality Model for College/Univeristy Ranking

open access: yesIEEE Access
In the realm of higher education, accurately assessing and ranking the quality of educational offerings is crucial. The paper introduces “Education Quality Ranker,” an innovative framework designed to rank colleges and universities on an ...
Yunhua Chen
doaj   +1 more source

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