Results 171 to 180 of about 1,519 (247)

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Fault diagnosis of aero-engines using transfer dispersion entropy and dispersion patterns. [PDF]

PLoS One
Zhang H, Zhang Y, Liu J, Dong K.
europepmc   +1 more source

Engineering Bacteria for Medicine: Delivery, Diagnosis, and Therapy

iMetaMed, EarlyView.
ABSTRACT With rapid advances in synthetic biology and genetic engineering, genetically engineered bacteria (GEB) have emerged as a promising platform for biological therapy, addressing key limitations of conventional drug delivery systems and demonstrating significant clinical potential.
Shiyu Xia, Guiling Fu, Xiaoyue Ding, Wen Yang, Ruijie Bai, Yawei Cai, Jing xuan Zhang, Yanxia Wei, Conghui Han, Yi‐Zhou Gao, Ying Li, Zuobin Zhu   +11 more
wiley   +1 more source

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

InfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam, Tamanna Hoque, Junied Islam Shuvo, Sheta Roy Tori, Sadit Bihongo Malitha, Md. Zahangir Alam, A. M. Sarwaruddin Chowdhury   +6 more
wiley   +1 more source

Developmental and aging changes in brain network switching dynamics revealed by EEG phase synchronization. [PDF]

PLoS Comput Biol
Perdikis D, Sleimen-Malkoun R, Müller V, Jirsa V.   +3 more
europepmc   +1 more source

Innovative doped flaky FeSiCr interface synergy for developing bidisperse magnetorheological fluids with super‐performance

InfoScience, EarlyView.
An excellent comprehensive performance bidisperse magnetorheological fluid (MRFs) was developed by blending self‐synthesized micron‐sized flaky FeSiCr particles with CIPs. Through the synergistic modification of particle properties, morphology and composition, this approach overcomes the challenges of achieving an optimal balance among key performance ...
Tianxiang Du, Penghui Zhao, Shiqiang Guan, Yinhao Diao, Zenghui Zhao, Hao Huang, Ning Ma, Yonghu Huang, Xufeng Dong   +8 more
wiley   +1 more source

Complexity of resting cortical activity predicts neurophysiological responses to theta-burst stimulation but fails to generalize: A rigorous machine-learning approach. [PDF]

PLoS Comput Biol
Ning MH, Sun H, Passera B, Das DB, Westover B, Pascual-Leone A, Santarnecchi E, Shafi MM, Ozdemir RA.   +8 more
europepmc   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Comparative analysis of processed EEG indices and entropy-based metrics for assessing anesthetic depth: a scoping review - PRISMA-ScR. [PDF]

BMC Biomed Eng
Vakitbilir N, Ryznar J, Roca V, Bergmann T, Herath I, Hasan R, Stein KY, Sainbhi AS, Silvaggio N, Hayat M, Moon J, Zeiler FA.   +11 more
europepmc   +1 more source

Designing chiral organic small molecules for circularly polarized light detection via group theory

InfoMat, EarlyView.
The chiral point group determines the arrangement of the μ‐m of chiral organic small molecules, thereby influencing their chiral photoelectric properties. In particular, chiral molecules with the D2 point group can effectively align the μ‐m to be either 0° or 180°, an effective strategy for high‐performance circularly polarized light photodetectors ...
Zhenping Li, Wenkai Zhao, Jiajun Fu, Wenhan Wu, Xingshuo Chu, Zihao Xu, Yu‐Wu Zhong, Hao‐Li Zhang, Wei Ma, Guankui Long, Xiaobo Shang   +10 more
wiley   +1 more source