Results 121 to 130 of about 38,655 (248)

Erucic Acid, Derived by Lactobacillus Crispatus, Induces Ferroptosis in Cervical Cancer Organoids Through the PPAR‐δ Signaling Pathway

Advanced Science, EarlyView.
Utilizing PDO, cell lines and cervical cancer xenograft (CDX) models, the study demonstrate both in vitro and in vivo that the metabolite of L. crispatus, erucic acid, can modulate the proliferation, migration and invasion of cervical cancer by activating the PPAR‐δ pathway.
Qianwei Zhen, Yuexuan Xu, Ying Xu, Xiao Liu, Yuting Zhang, Dan Ye, Sai Han, Shili Liu, Youzhong Zhang   +8 more
wiley   +1 more source

Graphic animation and speech synthesis applications for the auditory and visually disabled [PDF]

, 1988
Josef E. Pfauntsch, Charles M. Shub
openalex   +1 more source

Prolonged Cell Encapsulation and Gravity‐independent Filamented Light Biofabrication of Muscle Constructs

Advanced Science, EarlyView.
A gravity‐independent filamented light (G‐FLight) projection method is presented for rapid biofabrication of anisotropic tissues, demonstrated with muscle constructs as a target application. Specialized photocrosslinkable resins enable refrigeration or cryopreservation with encapsulated cells.
Michael Winkelbauer, Jakub Janiak, Johannes Windisch, Hao Liu, Maria Bulatova, Max Von Witzleben, Hugo Oliveira, Sophie Dani, Richard Frank Richter, Nicolas L’Heureux, Ori Bar‐Nur, Michael Gelinsky, Marcy Zenobi‐Wong, Parth Chansoria   +13 more
wiley   +1 more source

Optical printing in computer animation [PDF]

, 1980
Nelson Max, John Blunden
openalex   +1 more source

Non‐Destructively Quantifying the Whole‐Course Growth and Drug‐Response of PDOs by an Automatic Microfluidic System Utilizing Chemiluminescence Detection

Advanced Science, EarlyView.
The detection of secreted biomarkers enables molecular variations monitoring of organoid status. In this study, the non‐destructive quantification for the whole‐course growth and drug‐response of PDOs is first realized using a multifunctional microfluidic chip‐based system(ASMO) that integrates culturing, drug incubation, and biomarker detection ...
Yu Zhang, Daoyun Wang, Zhicheng Huang, Nan Zhang, Zhina Wang, Xin Wu, Anlan Zhang, Runzhi Yang, Tong Li, Zhibo Zheng, Yuxiao Lin, Naixin Liang, Zewen Wei   +12 more
wiley   +1 more source

Computational modeling for the computer animation of legged figures [PDF]

, 1985
Michael Girard, Anthony A. Maciejewski
openalex   +1 more source

Knowledge Graph for Methane Selective Conversion: Revisiting and Predicting Product Selectivity and Methane Conversion

Advanced Science, EarlyView.
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu, Gaoyang Li, Bohan Wang, Jiawei Bian, Hui Pan, Yulin Min, Guodong Qi, Jun Xu, Feng Deng, Feng Ju, Hao Ling, Zhendong Wang   +11 more
wiley   +1 more source

Designing Interactive Digital Media for Jakarta's Historical Sites as a Medium for Conservation and Placemaking

Nirmana, 2012
Sejarah Jakarta terbentang mulai dari abad ke-4 Masehi, mengalami perkembangan pesat pada masa pemerintahan Belanda antara abad ke-17 hingga 19 Masehi, dan mewarisi Republik Indonesia dengan peninggalan-peninggalan infrastruktur serta kultural di kota ...
Sigit Adinugroho, Intan Rizky Mutiaz
doaj  

Genome‐Wide Protein Interaction Analysis in Parasitic Gyrodactylus Flatworms–Fish Hosts System and Drug Target Identification

Advanced Science, EarlyView.
Genomic data offer a powerful tool for studying the molecular interactions between parasites and their hosts, but they remain scarce for parasitic monogenean flatworms. This study presents the first high‐quality phased genome assembly for monogeneans (Gyrodactylus kobayashii), and uses it to predict key interacting proteins between monogenean parasite ‐
Dong Zhang, Jie‐Mei Zhao, Chuan‐Yu Xiang, Yi‐Wen Ma, Hong‐Peng Lei, Yu‐Ying Shi, Shun Zhou, Xiaofei Zeng, Jinsong Chen, Fei Liu, Benhe Zeng, Rui Song, Ye Hu, Feng Zhang, Xiang Liu, Wen‐Xiang Li, Gui‐Tang Wang, Ivan Jakovlić   +17 more
wiley   +1 more source

AI-DRIVEN BACKGROUND GENERATION FOR MANGA ILLUSTRATIONS: A DEEP GENERATIVE MODEL APPROACH

Operational Research in Engineering Sciences: Theory and Applications
This paper introduces the generation technique of manga illustration background, discusses the traditional background generation technique and stylized migration technique, and points out that the application of AI technology provides new possibilities ...
Zhang Yunqian
doaj   +2 more sources