Results 231 to 240 of about 863,741 (284)

A Spatially Directed Microneedle Patch Enables Intratumoral Co‐Delivery of FOLFIRINOX, Surufatinib, and Anti‐PD‐1 for Chemo‐Immunotherapy of Pancreatic Ductal Adenocarcinoma

Advanced Science, EarlyView.
A double‐layered shell‐core microneedle patch is developed to co‐deliver FOLFIRINOX, surufatinib, and anti‐PD‐1 for localized chemo‐immunotherapy of PDAC. This strategy achieves sustained tumor suppression, reduces metastasis, and reprograms the TME by enhancing CD8+ T‐cell infiltration and inhibiting Tregs and M2 macrophages infiltration, while ...
Tingting Kong, Ximo Xu, Xiao Zhang, Chuntao Wu, Zhengjun Qiu, Beiyuan Hu, Zihao Qi, Qiang Tian, Yuqin Yang, Hanguang Dong, Fei Wu, Tuo Jin, Yan Zheng, Jiang Long   +13 more
wiley   +1 more source

Machine learning approaches for crystallographic classification from synthetic 2D X-ray diffraction data. [PDF]

J Appl Crystallogr
Shahnazari A, Zhang Z, Dissanayake SE, Xu C, Abdolrahim N.   +4 more
europepmc   +1 more source

Employing feedforward backpropagated neural network for Doppler scale estimation in underwater acoustic CP-OFDM communication. [PDF]

Sci Rep
Muzzammil M, Saleem S, Ahmed N, Qiao G, Alharbi A.   +4 more
europepmc   +1 more source

Constructing material network representations for intelligent amorphous alloy design. [PDF]

Natl Sci Rev
Zhang S, Tian J, Liu S, Zhang H, Bai H, Hu YC, Wang WH.   +6 more
europepmc   +1 more source

Dynamics of non-self-similar earthquakes illuminated by a controlled fault asperity. [PDF]

Nat Commun
Okubo K, Yamashita F, Fukuyama E.
europepmc   +1 more source

A hybrid PCA-ICA and multi-level feature scaling framework with bidirectional LSTM-GRU architecture improves multivariate time series forecasting accuracy. [PDF]

Sci Rep
Boddu Y, Manimaran A, Talabathula J, Sucharitha M.   +3 more
europepmc   +1 more source

Development of a YOLO-guided automated (microplastic) particle analysis workflow.

Anal Methods
Xie J, Gowen A, Xu JL.
europepmc   +1 more source

Social Auto-Scaling

2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2018
Today, auto-scaling solutions are still largely reactive and are based on the load measured on existing nodes nearing a threshold or traffic forecast information provided in advance of a scheduled event. Despite these advancements, events which cause a flash flood of web traffic do not always benefit from this approach to auto-scaling because the ...
Peter Smith, Horacio González-Vélez, Simon Caton   +2 more
openaire   +3 more sources

SCAling

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
This paper presents an implementation -driven by Service Level Agreement (SLA)- of Cloud auto-scaling based on demand. Simulation experiments indicate that our model successfully keeps the best trade-off between SaaS provider profit and customer satisfaction without requiring manual calibration such as in Amazon Auto-Scaling.
Kouki, Yousri, Ledoux, Thomas
openaire   +3 more sources

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AMAS: Adaptive Auto-Scaling on the Edge

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
Despite the emergence of edge computing as a key technology paradigm, there is a general lack of auto-scaling techniques specifically designed for edge computing applications. Further, existing auto-scaling solutions tailor-made for the cloud cannot be readily applied to an application running on an edge cluster. In this paper we present AMAS - a novel
Saptarshi Mukherjee, Subhajit Sidhanta
openaire   +2 more sources