Results 111 to 120 of about 243,501 (262)

Heterostructure‐Engineered Conductive MOFs Coupled with MoSe2@MXene Framework for Efficient and Selective Lithium Extraction from Salt Lake Brine via Capacitive Deionization

Advanced Science, EarlyView.
This schematic illustrates a capacitive deionization (CDI) system for the selective extraction of lithium from salt‐lake brine. The system employs a cathode fabricated from the Fe‐THBQ@MoSe2@MXene composite alongside an activated carbon (AC) anode. Upon applied voltage, the cathode demonstrates high efficiency in capturing Li+ ions while effectively ...
Pengze Li, Xiaodan Chong, Yutong Guo, Guangrun Wu, Shanshan Wang, Ruixue Liu, Jiamiao Ma, Yu Wang, Wenqiang Chen, Yanmeng Cai, Yaoyao Wang, Qing Yuan, Jinsheng Zhao   +12 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Enhanced Thermodynamic Stability of UO22+ Complex Through Structure Preorganization of N3O2‐Pentadentate Planar Ligand for Uranium Harvesting from Seawater

Advanced Science, EarlyView.
Thanks to the appropriate structure preorganization of an N3O2‐pentadentate planar ligand, 2,6‐bis(2‐hydroxyphenylmethylaminomethyl)pyridine (H2saldamp) exhibits the strongest coordination affinity to UO22+ (log βU = 33.60) compared to ligands developed for uranium harvesting from seawater to date, as well as good separability of UO22+ from other metal
Ryuto Nabata, Satoru Tsushima, Koichiro Takao   +2 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

Advanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang, Xiangling Xia, Benjamin Ducharne, Yujie Ye, Jie Shang, Run‐Wei Li   +5 more
wiley   +1 more source

Use of Automation Technologies and Data Mining in Speech Recognition for Autism. [PDF]

Brain Behav
Mao R, Zhu Y.
europepmc   +1 more source

Scalable Electrochemical Concrete Fabrication and Closed‐Loop Recycling

Advanced Science, EarlyView.
The electrochemical‐driven recycling strategy establishes a reversible concrete material flow by extracting Ca, Si, Al, and Fe from concrete waste and regenerating functional feedstocks. These reversed products are reassembled into new concrete, which re‐enters service and ultimately returns to waste, enabling a closed‐loop, waste‐origin, and low ...
Hanxiong Lyu, Zhenlin Li, Yang Liu, Lu Zhu, Lucen Hao, Mingxin Shi, Shipeng Zhang, Chi Sun Poon   +7 more
wiley   +1 more source

Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study. [PDF]

JMIR Form Res
Almeida Sales AH, Beck J, Grauvogel J.
europepmc   +1 more source

Data mining with Oracle Data Mining (11g)

, 2010
Data mining is becoming more and more important on number of fields in our lives. It is used by doctors defining medical conditions, bankers dealing with risk management and so on. It is a process of discovering information, patterns and correlation with searching through bigger or smaller quantity of data. Every data mining process, if one wants it to
openaire   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source