Results 151 to 160 of about 85,494 (314)

On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy

Advanced Science, EarlyView.
An idealized SEM, termed Rayleigh's microscope, is constructed by Monte Carlo simulation to represent imaging conditions that just satisfy the Rayleigh criterion. Based on this physically defined model, sharpness–resolution conversion curves are established and combined with the Rose criterion, enabling automated resolution evaluation from practical ...
Tongfang Yang, Yanbo Zou, Zejun Ding
wiley   +1 more source

Humanized and Charge‐Optimized CSPG4‐Specific CAR‐T Cells show Enhanced Efficacy against Head and Neck Squamous Cell Carcinoma

Advanced Science, EarlyView.
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu, Shizhen Qiu, Zhitong Wang, Dan Li, Min Chen, Yinying Chu, Guangfei Li, Yi Fang, Changjiang Li, Fang Shi, Peijie He, Haitao Wu, Haopeng Wang, Jian Chen   +13 more
wiley   +1 more source

Computational aspects and statistical applications of the transportation problem of linear programming

, 2018
A special type of linear programming problem that arises quite frequently in practical application is the transportation problem. The transportation problem involves determining a shipping schedule that minimizes the total cost of shipment given that there are known fixed quantities of a commodity available for shipment at each origin, there are given ...
openaire   +3 more sources

bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems

Barry and Hartigan (1993) propose a Bayesian analysis for change point problems. We provide a brief summary of selected work on change point problems, both preceding and following Barry and Hartigan.
Chandra Erdman, John W. Emerson
core  

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Computational Unique Continuation with Finite Dimensional Neumann Trace

We consider finite element approximations of unique continuation problems subject to elliptic equations in the case where the normal derivative of the exact solution is known to reside in some finite dimensional space.
Oksanen, Lauri Sakari, Zhao, Ziyao, Burman, Erik   +2 more
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Exact and heuristic algorithms for variable selection: Extended Leaps and Bounds [PDF]

An implementation of enhanced versions of the classical Leaps and Bounds algorithm for variable selection is provided. Features of this implementation include: (i) The availability of general routines capable of handling many different statistical ...
A. Pedro Duarte Silva
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source