Results 71 to 80 of about 154,459 (280)

A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation

Journal of Control Science and Engineering, 2018
Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm ...
Darong Huang, Zhenping Deng, Bo Mi
doaj   +1 more source

Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set

Promet (Zagreb), 2020
Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This
Erdem Doğan
doaj   +1 more source

Respiratory Organ‐on‐a‐Chip for Disease Modeling: From Architecture to Functional Integration

Advanced Healthcare Materials, EarlyView.
Respiratory organ‐on‐a‐chip (ROC) models capture key mechanical and cellular cues of the human respiratory system, enabling quantitative dissection of disease mechanisms. This review links ROC architectures to disease modeling, functional integration, and commercialization, and proposes a decision framework that aligns model complexity with mechanistic
Jinzhuo Hu, Yongjie Tang, Sidi Liu, Tao Xu, Qian Liu   +4 more
wiley   +1 more source

Short‐term traffic flow prediction based on AST‐MTL‐CNN‐GRU

IET Intelligent Transport Systems, 2023
To address the current objective of short‐term traffic flow prediction on roads, this paper aims to predict not only the future traffic flow on roads, but also the average speed of future roads. Specifically, the authors propose a short‐term traffic flow
Zijing Yang, Cheng Wang
doaj   +1 more source

Opinion: Gavage Administration of MXene as a Route‐Specific Alternative to Intravenous Injection into the Bloodstream of Laboratory Animals for Reducing Systemic Nanotoxicity Risks in Immunosuppression and Post‐Transplantation Models with Bile Acid Modification

Advanced Healthcare Materials, EarlyView.
Recent studies reported immunosuppressive properties of specific MXene nanomaterials. Their intravenous injection into the bloodstream of laboratory animals has been a common delivery method to suppress systemic inflammation and prevent transplant rejection.
Alireza Rafieerad, M. Akif Rahman, Ahmad Amiri   +2 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Short-Term Traffic Flow Prediction Using Variational LSTM Networks

CoRR, 2020
18 pages, 13 ...
Mehrdad Farahani, Marzieh Farahani, Mohammad Manthouri, Okyay Kaynak   +3 more
openaire   +2 more sources

Microfluidic Hydroporation Platform for Effective Allogeneic CAR‐T Cell Production and Subsequent Functional Cytotoxicity Analysis

Advanced Materials Technologies, EarlyView.
The hydroporator platform employs controlled hydrodynamic deformation for efficient mRNA and CRISPR/Cas9 delivery into primary human T cells, enabling allogeneic CAR‐T cell manufacturing. It preserves cell functionality and drives potent gene editing, CAR expression, and tumor cytotoxicity, while feature‐based analysis links these functional outcomes ...
Soohyun Jeon, Sein Kim, Hyun‐Young Kim, Duck Cho, Sungsu Park, Seohyun Kim, Aram J. Chung   +6 more
wiley   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

An Artificial Neural Network Model for Short-Term Traffic Flow Prediction in Two Lane Highway in Khulna Metropolitan City, Bangladesh

Emerging Technologies and Engineering Journal
Short-term traffic flow prediction is one of the most significant research topics in traffic engineering. It is instrumental in designing a more modern transport network to manage traffic signals and reduce congestion.
Md. Ebrahim Shaik, Monirul Islam, Md. Ripon Kobir, Kazi Furkan   +3 more
doaj   +1 more source