Results 51 to 60 of about 5,189,325 (247)

Spatio-Temporal Generative Adversarial Clustered Graph Convolutional Network for Anomalous Traffic Flow Prediction [PDF]

Jisuanji gongcheng
Accurate traffic flow prediction is critical for urban transportation; however, abnormal events in traffic flow, such as severe weather or emergency road conditions, present significant challenges in maintaining the accuracy of current traffic flow ...
ZHANG Hong, YANG Junyi
doaj   +1 more source

Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface

FEBS Open Bio, EarlyView.
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana, Avigail Yariv, Tal Oppenheim, Hadar Amartely, Dana Reichmann, Oded Livnah   +5 more
wiley   +1 more source

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

FEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan, Ikram A. Burney, Shika Hanif Malgundkar, Siva Ramamoorthy, Ressin Varghese, Mohamed A. Al‐Kindi, Hamad Al Riyami, Shadia Al Bahlani, Sergey Dobretsov, Syed Imran Hassan, Benjamin K. Tsang, Yahya Tamimi   +11 more
wiley   +1 more source

Anti‐CD20 Discontinuation Versus Continuation in People Aged Over 50 With Non‐Active Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether discontinuing anti‐CD20 therapy in people with relapsing‐onset MS aged over 50 is associated with an increased risk of relapse, inflammatory activity, confirmed disability accrual, and serious infection compared with continuing therapy.
Alexia Moukhine, Fabien Rollot, Romain Casey, Nicolas Collongues, Sandra Vukusic, Guillaume Mathey, Anne Laure Dubessy, Jonathan Ciron, Jérôme De Seze, Aurélie Ruet, Pierre Labauge, Arnaud Kwiatkowski, Hélène Zephir, Caroline Papeix, Gilles Defer, Christine Lebrun‐Frenay, David Axel Laplaud, Eric Berger, Eric Thouvenot, Jean Pelletier, Abdullatif Al Khedr, Olivier Casez, Bertrand Bourre, Abir Wahab, Laurent Magy, Jean‐Philippe Camdessanché, Ines Doghri, Solène Moulin, Mariana Sarov Rivière, Karolina Hankiewicz, Amélie Dos Santos, Corinne Pottier, Eric Manchon, Jennifer Aboab, Maia Tchikviladze, Thomas David, Gilles Edan, Emmanuelle Le Page, Laure Michel, Anne Kerbrat, OFSEP Investigators   +40 more
wiley   +1 more source

Mixed-Graph Neural Network for Traffic Flow Prediction by Capturing Dynamic Spatiotemporal Correlations

ISPRS International Journal of Geo-Information
Traffic flow prediction is a prominent research area in intelligent transportation systems, significantly contributing to urban traffic management and control.
Xing Su, Pengcheng Li, Zhi Cai, Limin Guo, Boya Zhang   +4 more
doaj   +1 more source

Using Upstream and Downstream Traffic Information for Short term Traffic Flow Prediction Based on LSTM Recurrent Neural Network

Journal of Harbin University of Science and Technology, 2019
We employ the long/shortterm memory (LSTM) recurrent neural network to analyze the impact of various input settings on shortterm traffic flow prediction performance First, we compared the shortterm traffic flow prediction performance for different ...
MAN Chun-tao, KANG Dan-qing
doaj   +1 more source

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan, Praveen Velammal, Kanmani Muthiah, Madhu Jatty, Christopher Adams   +4 more
wiley   +1 more source

An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing

Advanced Functional Materials, EarlyView.
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek, Junhwa Oh, Hyeonjung Kim, Minsik Park, Haein Cho, Jin Young Park, Hyeonchang Son, Taeyun Kim, Sung‐Un An, Yamin Zhang, Hyeon‐Jin Shin, Seyong Oh, Dong‐Ho Kang   +12 more
wiley   +1 more source

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

Systems Science & Control Engineering
This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each ...
Bao-Lin Ye, Shiwei Zhu, Lingxi Li, Weimin Wu   +3 more
doaj   +1 more source