Results 51 to 60 of about 13,951,433 (265)

Network capacity with probit-based stochastic user equilibrium problem.

PLoS ONE, 2017
Among different stochastic user equilibrium (SUE) traffic assignment models, the Logit-based stochastic user equilibrium (SUE) is extensively investigated by researchers. It is constantly formulated as the low-level problem to describe the drivers' route
Lili Lu, Jian Wang, Pengjun Zheng, Wei Wang   +3 more
doaj   +1 more source

A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance

Advanced Science, EarlyView.
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng, Masaki Nasu, Ayman Abdul‐Ghani, Yu Chen, Shaoqiu Chen, Isam Mohd Ibrahim, Hanqiu Zhang, Lauren Higa, Zitong Gao, Hua Yang, Raphael Bueno, Loïc Le Marchand, Youping Deng   +12 more
wiley   +1 more source

Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health

Information, 2020
This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industries in
Jarmila Horváthová, Martina Mokrišová   +1 more
doaj   +1 more source

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Explore poverty with statistical modeling: The bivariate polynomial binary logit regression (BPBLR)

MethodsX
Logit regression (or logistic regression) is a statistical analysis of categorical data. The binary responses have two categories. We present the Bivariate Polynomial Binary Logit Regression (BPBLR), which extends logit regression by modeling two ...
Vita Ratnasari, Purhadi, Marisa Rifada, Andrea Tri Rian Dani   +3 more
doaj   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Airport and Access Mode Choice - A Generalized Nested Logit-Model Approach [PDF]

, 2006
The purpose of the paper is to present a novel approach of a general airport and access mode choice model. Based on data of the German Air Traveller Survey 2003 with a sample size of about 210.000 passengers interviewed at 21 airports a three-stage ...
Gelhausen, Marc, Gelhausen, Marc Christopher, Wilken, Dieter   +2 more
core  

Sulfur–Oxygen Competitive Coordination Allosteric Hydrogel for Triboelectric Nanogenerator‐Based Intelligent Tactile Recognition

Advanced Science, EarlyView.
A dynamic Ag+─S coordinated hydrogel with a sulfur–oxygen competitive coordination allosteric switch enables reversible tuning between soft–adhesive and stiff–robust states. Integrated with a lightweight 1DCNN classifier, the smart glove system achieves 99.70% laboratory and 93.35% real‐wear material recognition accuracy, offering a paradigm for self ...
Shixia Lan, Lin Zhang, Yunyun Dong, Yongyun Mao, Wanbiao Hu   +4 more
wiley   +1 more source

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

Advanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park, Yeong‐In Kim, Jeong Hyun Yoon, Sein Lee, Wooho Ham, Dongyun Lee, Junseo Lee, Dongwook Shin, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon   +11 more
wiley   +1 more source