Results 51 to 60 of about 135,022 (252)

Variance optimal hedging for continuous time additive processes and applications

, 2012
For a large class of vanilla contingent claims, we establish an explicit F\"ollmer-Schweizer decomposition when the underlying is an exponential of an additive process.
Goutte, Stéphane, Oudjane, Nadia, Russo, Francesco   +2 more
core   +3 more sources

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Volatile compounds and fatty acids in oleoresins from Vanilla Planifolia Andrews obtained by extraction with supercritical carbon dioxide

CyTA - Journal of Food, 2019
Vanilla is currently sold as an ethyl alcoholic extract, typically at a concentration of 35% (v/v). Alcoholic extracts have some disadvantages, such as high concentrations of organic residues, long extraction times and the requirement of large volumes ...
Miguel Ángel Hernández-Fernández, Adrián Rojas-Avila, Pedro Alberto Vazquez-Landaverde, Maribel Cornejo-Mazón, Gloria Dávila-Ortiz   +4 more
doaj   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Non-Vanillin Vanilla Volatiles in Vanilla Extract

Journal of AOAC INTERNATIONAL, 1971
Abstract The flavors of vanilla extract may be made stronger by the artful addition of volatile chemicals. This method detects these additions by gas chromatography at levels down to 10 ppm. The volatiles are extracted with isopentane, which is then concentrated to 0.2-0.5 ml, at which point vanillin is precepitated before chromatography.
openaire   +2 more sources

NIRGB‐GS: Near‐Infrared Assisted Low‐Light Scene Reconstruction and Enhancement via Gaussian Splatting

Advanced Intelligent Systems, EarlyView.
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang, Yi Zhang, Yu Lei, Qiaofeng Li   +3 more
wiley   +1 more source

Characterization, Stability and Antioxidant Activity of Vanilla Nano-Emulsion and Its Complex Essential Oil

Foods
As a natural flavoring agent, vanilla essential oil has a special aroma and flavor, but its volatility and instability limit its value. Therefore, in this study, vanilla essential oil was compounded with cinnamon essential oil to prepare nano-emulsions ...
Fei Xu, Yucong Shi, Bin Li, Chengmei Liu, Yanjun Zhang, Junzhen Zhong   +5 more
doaj   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

AMF promotes the structure and metabolic activity of rhizosphere soil microbial communities in areca/vanilla intercropping system under nitrogen-limited conditions

Frontiers in Microbiology
This study systematically investigated the response mechanisms of the rhizosphere microenvironment and physiological metabolism in an areca/vanilla intercropping system under three nitrogen reduction levels (conventional, 30% reduction, and 60% reduction)
Huifa Zhuang, Huifa Zhuang, Huifa Zhuang, Zhuo Feng, Zhuo Feng, Zhuo Feng, Zhuo Feng, Yunbin Hu, Yunbin Hu, Yunbin Hu, Yunbin Hu, Ziwei Ning, Ziwei Ning, Ziwei Ning, Ziwei Ning, Qingyun Zhao, Hui Wang, Hui Wang, Hui Wang, Yizhang Xing, Yizhang Xing, Yizhang Xing, Ang Zhang, Ang Zhang, Ang Zhang   +24 more
doaj   +1 more source