Results 101 to 110 of about 22,751 (263)

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Sand in the Wheels: Corruption, Governance, and the Quest for Sustainable Development in Sub‐Saharan Africa

Sustainable Development, EarlyView.
ABSTRACT How do governance quality and corruption jointly shape sustainable development? We analyze an unbalanced panel of 38 Sub‐Saharan African countries (2002–2021) employing PCSE and FGLS estimators. The model also includes controls for health expenditure, digitalization, unemployment, trade openness, and GDP.
Deniz Erenel, Halil Peçe, Cihan Necmi Günal   +2 more
wiley   +1 more source

Structure diagram of four-dimensional directed GCN model.

, 2023
Structure diagram of four-dimensional directed GCN model.
Chaoran Ning (17389718), Xuebo Jin (8772404), Xiaoyi Wang (90589), Yuting Bai (3428096), Qian Sun (53880), Jiping Xu (3058779), Qianhui Tang (13952862), Huiyan Zhang (1327224), Jiabin Yu (12230987), Zhiyao Zhao (9282539), Li Wang (15202)   +10 more
core   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Epidermal growth factor receptor gene copy number in 101 advanced colorectal cancer patients treated with chemotherapy plus cetuximab

Journal of Translational Medicine, 2010
Background Responsiveness to Cetuximab alone can be mediated by an increase of Epidermal Growth factor Receptor (EGFR) Gene Copy Number (GCN). Aim of this study was to assess the role of EGFR-GCN in advanced colorectal cancer (CRC) patients receiving ...
Zeuli Massimo, Diodoro Maria, Conti Salvatore, Melucci Elisa, Sperduti Isabella, Merola Roberta, Torsello Angela, Cianciulli Anna, Mottolese Marcella, Campanella Carla, Paoletti Giancarlo, Cognetti Francesco, Garufi Carlo   +12 more
doaj   +1 more source

GCN sensitive protein translation in yeast.

, 2020
Levels of protein translation by ribosomes are governed both by features of the translation machinery as well as sequence properties of the mRNAs themselves. We focus here on a striking three-nucleotide periodicity, characterized by overrepresentation of
Kelly M Thayer, Kristen Scopino, Felix Hart, Om K Chatterji, Jungwoo Cho, Daniel Krizanc, William A Barr, Ruchi B Sheth, Michael P Weir, Jacob W Glickman, Jack Kwon, Karen Voelkel-Meiman   +11 more
core   +1 more source

Engineering Nitrogen Vacancies in Polymeric Carbon Nitride to Promote Interfacial Electron Transfer for Visible‐Light Driven Hydrogen Evolution

Small, EarlyView.
By integrating nitrogen‐vacancy engineering with interfacial electronic optimization, this study achieves a marked enhancement in the hydrogen evolution performance of g‐C3N4‐based photocatalysts, providing a new design paradigm for photocatalytic water splitting.
Zeyi Zhang, Han Zhao, Lingshen Meng, Yu Wang, Fei Guo, Carlos A. Triana, Yonggui Zhao, Jingguo Li, Xiaoyuan Liu, Greta R. Patzke   +9 more
wiley   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Enhance photocatalytic CO 2 reduction and biomass selective oxidation via sulfur vacancy-enriched S-scheme heterojunction of MoS 2 @GCN

Photocatalytic CO2 reduction and biomass selective oxidation have considerable practical implications in addressing environmental challenges. However, developing efficient photocatalyst is the key to realize the mass-market applications.
Hong, Min, Ma, Jiliang, Sun, Runcang, Ling, Weikang   +3 more
core   +1 more source

AI‐enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug‐induced liver injury

Smart Molecules, EarlyView.
An AI‐driven framework integrating disease‐network analysis, direction‐aware molecular screening, and carrier‐free co‐assembly engineering enables nanomedicine design. The dual‐constraint deep learning model predicts API–target affinity and regulatory direction to prioritize complementary APIs.
Kai Xiao, Meng Fan, Haoyu Zheng, Boyuan Gu, Shaowen Wang, Ziping Wu, Shiming Zhang, Xin Zhao, Wensheng Zhang, Quanxin Ning, Sigen A, Chao Yang, Huayi Sun, Ren Mo, Dan Shao   +14 more
wiley   +1 more source