Results 111 to 120 of about 359,562 (287)

Challenges and Future Directions in Assessing the Quality and Completeness of Advanced Materials Safety Data for Re‐Usability: A Position Paper From the Nanosafety Community

Advanced Sustainable Systems, EarlyView.
Nanosafety data provide a guiding example for establishing best practices in data management, aligning with FAIR principles and quality criteria. This review explores existing quality assessment approaches for reliability, relevance, and completeness, emphasizing the need for harmonization and adaptation to nanomaterials and advanced materials. The aim
Verónica I. Dumit, Irini Furxhi, Penny Nymark, Antreas Afantitis, Ammar Ammar, Monica J. B. Amorim, Dalila Antunes, Svetlana Avramova, Chiara L. Battistelli, Gianpietro Basei, Cecilia Bossa, Emil Cimpan, Mihaela Roxana Cimpan, Dmitri Ciornii, Anna Costa, Camilla Delpivo, Maria Dusinska, Ana Sofia Fonseca, Steffi Friedrichs, Vasile‐Dan Hodoroaba, Danail Hristozov, Panagiotis Isigonis, Nina Jeliazkova, Nikolay Kochev, Eva Kranjc, Dieter Maier, Georgia Melagraki, Anastasios G. Papadiamantis, Tomasz Puzyn, Hubert Rauscher, Katie Reilly, Araceli Sánchez Jiménez, Janeck J. Scott‐Fordsmand, Neeraj Shandilya, Hyun Kil Shin, Gergana Tancheva, Jeaphianne P. M. van Rijn, Egon L. Willighagen, Ewelina Wyrzykowska, Martine I. Bakker, Damjana Drobne, Thomas E. Exner, Martin Himly, Iseult Lynch   +43 more
wiley   +1 more source

CD207‐Positive Dendritic Cells Promote Emphysema Through CD8+ T Cell Pathway in Chronic Obstructive Pulmonary Disease

Advanced Science, EarlyView.
CD207+ dendritic cells (DCs) drive emphysema by promoting CD8⁺ T cell cytotoxicity via Birbeck granule‐dependent MHC‐I antigen presentation. This DC subset is expanded by cigarette smoke‐induced oxidative stress, which triggers granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) release from airway epithelium.
Shurui Xuan, Yunhui Wu, Feng Liu, Heng Fu, Yaqi Meng, Yingwei Ou, Xijing Yuan, Ian M. Adcock, Man Jia, Xiaoning Zeng, Xin Yao   +10 more
wiley   +1 more source

Structural and Functional Characterization of EXPO‐Derived Extracellular Vesicles in Plants

Advanced Science, EarlyView.
In this study, 3D electron tomography (ET), cryo‐ET, and immunogold transmission electron microscopy (TEM) are employed to characterize plant extracellular vesicles (EVs) under physiological conditions. EVs are classified into three distinct categories according to their size, content, and molecular‐marker profiles. Furthermore, Exo70E2‐positive medium
Jiayang Gao, Yanbin Li, Shengqi Zhang, Yilin He, Zhiqi Liu, Juan Wang, Jingmin Hua, Jinyu Chen, Junru Zhong, Huan Zhong, Yiji Xia, Yong Cui, Liwen Jiang   +12 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

Cancer Cell‐Intrinsic Cholesterol Induces Lipid‐Associated Macrophage Differentiation via SP1 Palmitoylation to Promote Prostate Cancer Progression

Advanced Science, EarlyView.
Cancer cell‐intrinsic cholesterol promotes the S‐palmitoylation of SP1, increasing its nuclear translocation and driving the transcription and secretion of MDK, which in turn facilitates the differentiation of macrophages into a lipid‐associated phenotype.
Shirong Peng, Weilong Lin, Zean Li, Ruilin Zhuang, Shengmeng Peng, Bingheng Li, Bingliang Chen, Yong Luo, Yuan Ou, Wei Zhuang, Tao Du, Kaiwen Li, Hai Huang   +12 more
wiley   +1 more source

A congestion prediction method based on trajectory mining algorithm

Computational Urban Science
Nowadays, number of private cars is increasing rapidly. Traffic congestion becomes a serious problem in urban region. If traffic congestion can be predicted before it happens, it will be helpful for improving traffic condition. So many traffic congestion
Liu Dongjiang, Li Leixiao, Li Jie
doaj   +1 more source

Stochastic Nanoscale Biophysical Cues as a Basis for the Induction of Glioblastoma‐Like Transcriptional Programs in Astrocytes

Advanced Science, EarlyView.
Stochastic nanoscale physical cues induce glioblastoma (GBM)‐associated transcriptional traits in naïve astrocytes leading to spontaneous formation of spheroids. Cells within spheroids express activated‐MMP2 and a differential gene expression pattern involving P53 and NOTCH3, providing evidence for a role for changes in brain topography, as observed in
Laurent Starck, Tobias Butelmann, Sabrina Hogan, Melika Sarem, Bernd Heimrich, Ritwick Sawarkar, Marie‐Françoise Ritz, Gregor Hutter, V. Prasad Shastri   +8 more
wiley   +1 more source

TBK1 Induces the Formation of Optineurin Filaments That Condensate with Polyubiquitin and LC3 for Cargo Sequestration

Advanced Science, EarlyView.
Phosphorylation of Optineurin by TBK1 induces the formation of filaments that condensate upon binding to linear polyubiquitin. Membrane‐anchored LC3 partitions into these condensates, suggesting that phase separation of filamentous Optineurin with ubiquitylated cargo promotes the sequestration of cargo and its subsequent alignment with LC3‐positive ...
Maria G. Herrera, Lena Kühn, Lisa Jungbluth, Verian Bader, Laura J. Krause, David Kartte, Elias Adriaenssens, Sascha Martens, Jörg Tatzelt, Carsten Sachse, Konstanze F. Winklhofer   +10 more
wiley   +1 more source

A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning

Scientific Reports
The emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncertainty and volatility exhibited by nonlinearity and instability of traffic flow pose challenges to Deep Learning models.
Chuanxiang Ren, Fangfang Fu, Changchang Yin, Li Lu, Lin Cheng   +4 more
doaj   +1 more source

Traffic prediction in SDN for explainable QoS using deep learning approach. [PDF]

Sci Rep, 2023
Wassie G, Ding J, Wondie Y.
europepmc   +1 more source