Results 61 to 70 of about 5,659 (253)

Benchmarking deep reinforcement learning and classical models for portfolio optimization across market efficiency regimes

Discover Artificial Intelligence
A key puzzle in finance is why algorithmic traders with advanced neural models sometimes fail to beat simple traditional strategies, while in other cases they clearly outperform them.
Hitesh Kumar Sahu, Avishek Bhandari
doaj   +1 more source

Microfluidic Gratings for X‐Ray Phase Contrast Imaging

Advanced Science, EarlyView.
This work establishes a new protocol for the fabrication of X‐ray gratings that exploits the advantages of microfluidics and enables a more inexpensive, faster, and scalable production process. These X‐ray devices are fundamental for implementing X‐ray phase contrast imaging (XPCI) in laboratory and clinical settings, yet their costly and complex ...
Alessandro Rossi, Antonio Ferraro, Francesco Coccimiglio, Tiziana Ritacco, Alberto Astolfo, Michele Giocondo, Vincenzo Formoso, Raffaele Giuseppe Agostino, Francesco Iacoviello, Ioannis Papakonstantinou, Alessandro Olivo   +10 more
wiley   +1 more source

Volatility on stock exchanges and its impact on transformations in the financial services market

Фінансово-кредитні системи: перспективи розвитку.
In modern global economy, stock market volatility has become one of the decisive factors shaping the financial services market. Exchange rate fluctuations not only affect asset valuation, but also investment decisions, risk management mechanisms, and the
Serhii Zadvornykh
doaj   +1 more source

Dynamic Interfacial Charge Regulation for High‐Fidelity Broadband Circularly Polarized Light Detection

Advanced Science, EarlyView.
A photoelectrochemical circularly polarized light detector combines a multilayer chiral photonic film with a dynamically regulated BiVO4‐RGO‐MXene transducer. Broadband optical modulation from 360 to 830 nm is converted into stable electrical outputs through low‐noise solid‐liquid interfacial charge transfer, enabling self‐powered CPL discrimination ...
Siqin Zhou, Honghan Ji, Houchao Jing, Xue Jin, Ying Zhao, Pengfei Duan   +5 more
wiley   +1 more source

Glucocorticoid Receptor Signaling in Myeloid Cells Orchestrates Inflammation Resolution and Muscle Repair

Advanced Science, EarlyView.
Glucocorticoids (GC) are widely used to reduce inflammation. We show that the glucocorticoid receptor in myeloid cells regulates macrophage cell cycle and genome integrity during muscle regeneration. We demonstrate that dexamethasone administration during the early inflammatory phase delays muscle repair by increasing macrophage proliferation ...
Sirine Souali‐Crespo, Joe G. Rizk, Emilia Calvano, Rajesh Sahu, Emina Colovic, Imane Chabba, Valentine Gilbart, Erwan Grandgirard, Bastien Morlet, Qingshuang Cai, Daniel Metzger, Delphine Duteil   +11 more
wiley   +1 more source

Computational and Data‐Driven Strategies for Lignocellulosic Biomass Valorization: From Multiscale Modeling to Digitalized Biorefinery Design

Advanced Science, EarlyView.
This Review critically connects structural recalcitrance, molecular modeling, solvent and catalyst design, pyrolysis, machine learning, reactor simulation, and FAIR digital infrastructure. Emphasis is placed on experimentally validated information transfer across scales, uncertainty and applicability domains, and the recycle, durability, techno ...
Abdullahi Bello Umar, Jiaxian Zheng, Xiangfeng Lin, Hongwu Liao, Haoqian Xu, Yufei Huang, Zaharaddeen Nasiru Garba, Adamu Uzairu, Weiwei Zhao, Zhanhui Yuan   +9 more
wiley   +1 more source

Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems

Advanced Science, EarlyView.
This study quantifies photosynthesized C allocation in the plant–soil system across six crop types: barley, wheat, maize, rice, legumes and grasses. It reports C partitioning into shoot respiration, shoot‐C, root‐C, net rhizodeposition and root‐derived CO2, providing standardized percentage averages and GPP‐derived absolute values as a robust baseline ...
Zhengjun Yan, Yuan Wen, Jie Zhou, Yakov Kuzyakov, Damien Beillouin, Johannes Lehmann, Yadong Yang, Yiqi Luo, Pete Smith, Zhaohai Zeng, Huadong Zang   +10 more
wiley   +1 more source

CMDMamba: dual-layer Mamba architecture with dual convolutional feed-forward networks for efficient financial time series forecasting

Frontiers in Artificial Intelligence
IntroductionTransformer models have demonstrated remarkable performance in financial time series forecasting. However, they suffer from inefficiencies in computational efficiency, high operational costs, and limitations in capturing temporal dependencies.
Zhenkai Qin, Zhenkai Qin, Zhenkai Qin, Baozhong Wei, Baozhong Wei, Yujia Zhai, Ziqian Lin, Xiaochuan Yu, Xiaochuan Yu, Jingxuan Jiang   +9 more
doaj   +1 more source

Optimizing Cancer Vaccinations Using a Physiologically‐Based Pharmacokinetic/Pharmacodynamic (PBPK/PD) Model

Advanced Science, EarlyView.
Where and when should a cancer vaccine be administered? A whole‐body PBPK model demonstrates that systemic immune transport critically determines vaccination efficacy. By simulating how organ‐specific immune interactions influence treatment response, the study provides a quantitative framework for optimizing cancer vaccination strategies.
Mohammad R. Nikmaneshi, Timothy P. Padera, Lance L. Munn   +2 more
wiley   +1 more source

Artificial Intelligence Models for Predicting Stock Returns Using Fundamental, Technical, and Entropy-Based Strategies: A Semantic-Augmented Hybrid Approach

Entropy
This study examines the effectiveness of combining semantic intelligence drawn from large language models (LLMs) such as ChatGPT-4o with traditional machine-learning (ML) algorithms to develop predictive portfolio strategies for NASDAQ-100 stocks over ...
Gil Cohen, Avishay Aiche, Ron Eichel
doaj   +1 more source