Results 81 to 90 of about 68,670 (112)

Characteristics of drug resistance mutations in ART-experienced HIV-1 patients with low-level viremia in Zhengzhou City, China

Scientific Reports
Although most people living with HIV (PLWH) receiving antiretroviral therapy (ART) achieve continuous viral suppression, some show detectable HIV RNA as low-level viremia (LLV) (50–999 copies/mL).
Jinjin Liu, Chaofeng Li, Yan Sun, C. Fu, S. Wei, Xiaohua Zhang, Jie Ma, Qingxia Zhao, Yuqi Huo   +8 more
semanticscholar   +1 more source

Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys

Crystals
This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables.
Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy   +5 more
doaj   +1 more source

Hypertension is related to cognitive impairment: a 20-year follow-up of 999 men.

HYPERTENSION, 1998
L. Kilander, H. Nyman, M. Boberg, L. Hansson, H. Lithell   +4 more
semanticscholar   +1 more source

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Antonyms are similar: Towards paradigmatic association approach to rating similarity in SimLex-999 and WordSim-353

Data and Knowledge Engineering, 2018
Tomáš Kliegr, Ondřej Zamazal
exaly   +2 more sources

Lactated Ringers Use in the First 24 Hours of Hospitalization Is Associated With Improved Outcomes in 999 Patients With Acute Pancreatitis

American Journal of Gastroenterology, 2023
INTRODUCTION: Recent pilot trials in acute pancreatitis (AP) found that lactated ringers (LR) usage may result in decreased risk of moderately severe/severe AP compared with normal saline, but their small sample sizes limit statistical power.
Peter J. Lee, S. Culp, A. Kamal, P. Paragomi, I. Pothoulakis, R. Talukdar, R. Kochhar, M. Goenka, A. Gulla, J. Gonzales, T. Stevens, S. Barbu, H. Nawaz, S. Gutierrez, N. Zarnescu, G. Capurso, J. Easler, K. Triantafyllou, C. Ocampo, E. de-Madaria, B. Wu, P. Hart, V. Akshintala, Vikesh K. Singh, J. Bischof, J. Buxbaum, M. Peláez, G. Papachristou   +27 more
semanticscholar   +1 more source

What effects did home working have on 999 clinician practice from one UK ambulance service during the Covid-19 pandemic?

International Journal of Emergency Services, 2023
PurposeVirtual care is any interaction between a patient and clinician or clinicians, occurring remotely using information technologies. Like many international services, United Kingdom (UK) ambulance services use paramedics and nurses to undertake ...
M. Brady, Edward F. Harry
semanticscholar   +1 more source

PET imaging of Dopamine Transporter with [18F]LBT-999: initial evaluation in healthy volunteers.

The Quarterly Journal of Nuclear Medicine and Molecular Imaging, 2019
BACKGROUND To evaluate in healthy human brain the distribution, uptake, and kinetics of [18F]LBT-999, a PET ligand targeting the dopamine transporter, to assess its ability to explore dopaminergic innervation, using a shorter protocol, more convenient ...
N. Arlicot, J. Vercouillie, Cécile Malherbe, Rudy Bidault, V. Gissot, S. Maia, L. Barantin, J. Cottier, J. Deloye, D. Guilloteau, M. Ribeiro   +10 more
semanticscholar   +1 more source

CLASP: a 999-style Priority Lanes Framework for 5G-era Critical Data Services

International Symposium ELMAR, 2019
Society is increasingly reliant on digital services for its proper functioning. Yet, going into the 5G era, the prevailing paradigm for data treats all traffic as equal regardless of how critical they are to the proper functioning of society.
E. Obiodu, Nishanth R. Sastry, Aravindh Raman   +2 more
semanticscholar   +1 more source

Supplemental Material for The Vienna Art Picture System (VAPS): A Data Set of 999 Paintings and Subjective Ratings for Art and Aesthetics Research

Psychology of Aesthetics, Creativity, and the Arts, 2022

semanticscholar   +1 more source

Detect Anything via Next Point Prediction

arXiv.org
Object detection has long been dominated by traditional coordinate regression-based models, such as YOLO, DETR, and Grounding DINO. Although recent efforts have attempted to leverage MLLMs to tackle this task, they face challenges like low recall rate ...
Qing Jiang, Junan Huo, Xingyu Chen, Yuda Xiong, Zhaoyang Zeng, Yihao Chen, Tianhe Ren, Junzhi Yu, Lei Zhang   +8 more
semanticscholar   +1 more source