Results 71 to 80 of about 308,670 (321)

Protection and Delivery of Phytochemicals from Passive Encapsulation to Guaranteed Self‐Assembly Induced by Amyloid Template for Chronic Disease Prevention via Modulating Microbial‐Host Crosstalk

Advanced Science, EarlyView.
ABSTRACT The rising incidence of chronic diseases globally has drawn widespread attention to phytochemicals, which exert targeted preventive and alleviating effect by modulating gut microbiota; thus, a potential strategy for precision nutritional interventions is offered.
Shiqi Bai, Siying Cheng, Fengguang Ma, Xiaorong Zhang, Jianan Huang, Zhonghua Liu, Bing Hu   +6 more
wiley   +1 more source

Testing implications of the Adaptive Market Hypothesis via computational intelligence [PDF]

2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012
This study analyzes two implications of the Adaptive Market Hypothesis: variable efficiency and cyclical profitability. These implications are, inter alia, in conflict with the Efficient Market Hypothesis. Variable efficiency has been a popular topic amongst econometric researchers, where a variety of studies have shown that variable efficiency does ...
Kazakov, Dimitar Lubomirov, Butler, Matthew Richard   +1 more
openaire   +2 more sources

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Market efficiency today [PDF]

, 2005
This CFS Working Paper has been presented at the CFSsymposium "Market Efficiency Today" held in Frankfurt/Main on October 6, 2005. In 2004 the Center for Financial Studies (CFS) in cooperation with the Johann Wolfgang Goethe University, Frankfurt/Main ...
Pesaran, M. Hashem
core  

Stabilization of Single Metal Atoms on Graphitic Carbon Nitride: Synthetic Strategies and Emerging Applications

Advanced Science, EarlyView.
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang, Junjie Cui, Zhenjie Yao, Boyuan Zhu, Nithinraj Panangattu Dharmarajan, Ajayan Vinu, Junwu Zhu   +6 more
wiley   +1 more source

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

Advanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang, Chongzhi Sun, Dongmei Xue, Paul Christiaan Struik, Tongrui Zhang, Jiayue Liu, Tingting Xing, Ziyang Liu, Shiming Tang, Ke Jin   +9 more
wiley   +1 more source

Market Efficiency in Indian Exchange Rates: Adaptive Market Hypothesis

Theoretical Economics Letters, 2018
This paper utilizes the automatic variance ratio test and Belaire-Franch and Contreras (2004) rank-based tests to examine the adaptive market hypothesis in Indian exchange rates relative to US dollar (USD), Great British pound (GBP), Euro and Japanese yen (Yen). We use overlapping and non-overlapping moving subsample approach to examine the sensitivity
openaire   +2 more sources

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

Exploring Market Efficiency with GRU-D Neural Networks: Evidence from Global Stock Markets

International Journal of Financial Studies
This study revisits the Efficient Markets Hypothesis by employing a GRU-D neural network to predict stock return distributions across global equity markets, accounting for missing and irregular data.
Abdelhamid Ben Jbara, Marjène Rabah Gana, Mejda Dakhlaoui   +2 more
doaj   +1 more source