Results 91 to 100 of about 3,469,724 (345)

Indian stock market prediction using artificial neural networks on tick data

Financial Innovation, 2019
Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dynamic nature.
Dharmaraja Selvamuthu, Vineet Kumar, A. Mishra   +2 more
semanticscholar   +1 more source

Comparative Analysis of Clinical Outcomes and Financial Aspects of Phototherapies and Immunotherapy for Cancer

Advanced Science, EarlyView.
This review compares clinical outcomes, translational progress, and global funding trends across cancer phototherapies—photodynamic, photothermal, and photoimmunotherapy—and conventional immunotherapy. It highlights differences in treatment efficacy, clinical trial status, financial investment, and regulatory challenges, providing a comprehensive ...
Deepak S. Chauhan, Kun Shao, Roopa Hebbandi Nanjundappa, Daniel‐Jiajun Yu, Marianne Stanford, Huile Gao, Channakeshava Sokke Umeshappa   +6 more
wiley   +1 more source

A Prediction Approach for Stock Market Volatility Based on Time Series Data

IEEE Access, 2019
Time series analysis and forecasting is of vital significance, owing to its widespread use in various practical domains. Time series data refers to an ordered sequence or a set of data points that a variable takes at equal time intervals.
S. Idrees, M. Afshar Alam, Parul Agarwal
semanticscholar   +1 more source

Activation of Kir4.1 Channels by 2‐D08 Promotes Myelin Repair in Multiple Sclerosis

Advanced Science, EarlyView.
Multiple sclerosis causes myelin loss and neurological dysfunction. This study shows that 2‐D08, a small molecule targeting Kir4.1 channels, promotes OPCs differentiation via FYN tyrosine kinase phosphorylation and the FYN/MYRF pathway. It significantly improves myelin repair and motor deficits in EAE mice and marmosets, highlighting its potential as a
Mingdong Liu, Shengyu Jin, Xin Fu, Chong Xie, Yi Chen, Liangtang Chang, Yongheng Fan, Donghua He, Xiaoqi Hong, Xi Shen, Xiaoli Zheng, Qiyue Wang, Dao Shi, Fangyuan Li, Daishun Ling, Yangtai Guan, Neng Gong, Xiaoping Tong   +17 more
wiley   +1 more source

Stacking Interventions Enhances Carbon Removals and Profitability of Livestock Production Systems

Advanced Science, EarlyView.
The study indicates that stacking multiple interventions aimed at maximising soil organic carbon (SOC) sequestration and enteric methane (CH4) reductions realizes greater abatement and profit do any singular intervention, especially when SOC sequestration accounts for a significant proportion of greenhouse gas emissions (GHG) mitigation. Abstract While
My Pham‐Kieu, Stephen Ives, Warwick Badgery, Matthew Tom Harrison   +3 more
wiley   +1 more source

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Advanced Science, EarlyView.
This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding, Ke Liu, Sabine Grunwald, Pete Smith, Philippe Ciais, Bin Wang, Alexandre M.J.‐C. Wadoux, Carla Ferreira, Senani Karunaratne, Narasinha Shurpali, Xiaogang Yin, Dale Roberts, Oli Madgett, Sam Duncan, Meixue Zhou, Zhangyong Liu, Matthew Tom Harrison   +16 more
wiley   +1 more source

Weak form market efficiency test of Bangladesh Stock Exchange: an empirical evidence from Dhaka Stock Exchange and Chittagong Stock Exchange

Journal of Economics, Business & Accountancy, 2018
Investors need to have an idea about stock market before making investment whether the stock markets are efficient or not to take investment decision in stock market. For that reason, measurement of market efficiency of stock market bears significance to
Shafir Zaman
doaj   +1 more source

Implantable Ion‐Selective Organic Electrochemical Transistors Enable Continuous, Long‐Term, and In Vivo Plant Monitoring

Advanced Science, EarlyView.
This work explores ion‐selective organic electrochemical transistors for real‐time, long‐term potassium monitoring in the xylem sap of living trees. This bioelectronic approach provides new insights into plant physiology and has the potential to revolutionize forest, agricultural, and ecological monitoring for smarter, more sustainable plant management.
Sanggil Han, Dalila Pasquini, Mathias Sorieul, Miguel H. Boratto, Luke Gatecliff, Alan Dickson, Suhyeon Jang, Stephanie Davy, George G. Malliaras, Yi Chen   +9 more
wiley   +1 more source

Investigating the risk spillover from crude oil market to BRICS stock markets based on Copula-POT-CoVaR models

Quantitative Finance and Economics, 2019
To investigate the risk spillover effect from crude oil market to BRICS stock markets, we extend the Copula-CoVaR models by introducing the Peak-over-Threshold and construct the Copula-POT-CoVaR model. By using the crude oil market and BRICS stock market
Ke Liu, Changqing Luo, Zhao Li
doaj   +1 more source

From Waste to Wealth: A Review of Eutectic Molten Salt Method for Direct Regeneration of Spent Lithium‐Ion Battery

Advanced Science, EarlyView.
The main process of the eutectic molten salt method and the direct regeneration of Spent lithium (Li)‐ion batteries by the eutectic molten salt method have brought structural, performance, environmental, and economic benefits. Abstract The rapid growth of electric vehicles (EVs) has significantly increased the demand for lithium (Li)‐ion batteries ...
Junyi Wang, Zehua Qi, Qi Zhao, Kaimin Shih   +3 more
wiley   +1 more source