Results 141 to 150 of about 2,525,063 (363)

Displacement and Vibration Measurements with Interferometers: Benchmark Configurations, Performance, and R&D Opportunities

Advanced Photonics Research, EarlyView.
Self‐mixing interferometry is a powerful technique that brings together the exceptional sensitivity of phase measurements with the unequalled simplicity of the self‐mix configuration based on modulation of the cavity field induced by the return from the target. According to the selected measurand, displacement or vibration, and to the analog of digital
Silvano Donati
wiley   +1 more source

Optimal bin widths for frequency histograms and ROC curves [PDF]

, 1995
V. Kairisto
openalex   +1 more source

Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review

Advanced Robotics Research, EarlyView.
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj, Quan‐Chen Song, Jia‐Yang Juang   +2 more
wiley   +1 more source

Fibulin2 is a good diagnostic and prognostic indicator for sepsis

BMC Infectious Diseases
Background Sepsis is a life-threatening syndrome characterized by multiple organ dysfunction resulting from a maladjusted host response to infection. It remains a leading cause of morbidity and mortality worldwide.
Xiaowen Gao, Shidan Li, Jinze Wu, Yiyun Feng, Wei Xing, Xiaoming Li, Yimin Du, Debin Guo, Honghao Xu, Dongqin Tang, Shaochuan Wang, Youbin Li, Jing Yang, Jianfei Ma, Yamei Zhang, Lei Li, Jun Fei   +16 more
doaj   +1 more source

Precision Diagnostics in Sports‐Related Traumatic Brain Injury: Pathophysiology, Biomarker Development and Emerging Technologies

Advanced Sensor Research, EarlyView.
Sports‐related traumatic brain injuries (TBIs) remain underdiagnosed, within amateur athletic cohorts. This review critically synthesises recent advancements in AI‐assisted neuroimaging, blood‐based biomarker profiling, wearable biosensing platforms for early detection, injury stratification, and longitudinal surveillance of TBIs.
Daniel Nicol, Mohamed T. Patel, Debarati Bhowmik, Pola Goldberg Oppenheimer   +3 more
wiley   +1 more source

Using ROC curves to test models of recognition memory: The relationship between presentation duration and slope [PDF]

, 2000
Elliot Hirshman, Mark Hostetter
openalex   +1 more source

From the help desk: Comparing areas under receiver operating characteristic curves from two or more probit or logit models [PDF]

Occasionally, there is a need to compare the predictive accuracy of several fitted logit (logistic) or probit models by comparing the areas under the corresponding receiver operating characteristic (ROC) curves.
Mario A. Cleves
core   +1 more source

First‐Principles Structure–Activity Relationship Insights Into Phenolic Scaffolds: QSAR Modeling and Drug‐Likeness Screening

Advanced Theory and Simulations, EarlyView.
Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer, Sridhar Priyankha, Gopal Hema, Anouar Zerouali, Hamza Haddag, Muneerah Mogren Al Mogren, Muthuramalingam Prakash, Majdi Hochlaf   +7 more
wiley   +1 more source

Cause and effect relationship between acid reflux and symptoms: a reappraisal using ROC curves [PDF]

, 2000
J. H. Steinbach, J. Liu, Cheryl Beaumont, Ravinder K. Mittal   +3 more
openalex   +1 more source

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning

Advanced Science, EarlyView.
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang, Du Cai, Junwei Liu, Zhenfeng Zhuang, Yibin Zhao, Feng‐ao Wang, Chenghang Li, Chuling Hu, Baowen Gai, Yiping Chen, Yixue Li, Liansheng Wang, Feng Gao, Xiaojian Wu   +13 more
wiley   +1 more source