Results 131 to 140 of about 2,755,023 (338)

The Cyclic Odd-Even Reduction Method Applied in Mathematical Finance [PDF]

Informatică economică, 2008
In this paper is presented a possibility to reduce execution time involved in evaluating a financial option by means finite difference scheme, using a cyclic odd-even reduction technique on a coarse-grained parallel model.
Dumitru FANACHE, Ion SMEUREANU
doaj  

Strengthening India’s Response to HIV/AIDS Epidemic Through Strategic Planning, Innovative Financing, and Mathematical Modeling: Key Achievements over the Last 3 Decades [PDF]

, 2022
Ramesh Bhat, Kurapati Sudhakar, Thomas Kurien, Arni S. R. Srinivasa Rao   +3 more
openalex   +1 more source

PEDOT:PSS—A Key Material for Bioelectronics

Advanced Science, EarlyView.
PEDOT:PSS ‐ Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate ‐ is typically processed from water dispersions to form multifunctional and multidimensional constructs with tunable electronic and ionic conductivity. Throught processing engineering, PEDOT:PSS is intergrated in bioelectronic devices that operate efficiently in physiological conditions
Alan Eduardo Ávila Ramírez, David Pieter van der Laan, Mustafeez Bashir Shah, Liwen Wang, Erica Zeglio, Achilleas Savva   +5 more
wiley   +1 more source

Polynomial processes and their applications to mathematical finance [PDF]

, 2012
Christa Cuchiero, Martin Keller‐Ressel, Josef Teichmann   +2 more
openalex   +1 more source

Literature study on sharia mathematical finance [PDF]

, 2021
Wulan Nurul Kamilah, Novriana Sumarti, Kuntjoro Adji Sidarto   +2 more
openalex   +1 more source

Reference‐Guided Chromosome‐by‐Chromosome de novo Assembly at Scale Using Low‐Coverage High‐Fidelity Long‐Reads with HiFiCCL

Advanced Science, EarlyView.
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang, Weihua Pan, Runtian Gao, Heng Hu, Wentao Gao, Murong Zhou, Yu‐Hang Yin, Zhipeng Qian, Shuilin Jin, Guohua Wang   +9 more
wiley   +1 more source

Wave‐Partition‐Governed Dual‐Site Spallation in Single Crystals

Advanced Science, EarlyView.
Crystalline anisotropy shapes shock‐wave propagation and the resulting damage evolution in single crystals. Large‐scale molecular dynamics and damage modeling uncover a dual‐spallation mechanism driven by anisotropic elasticplastic wave separation, which mitigates damage accumulation.
Youlin Zhu, Sheng Qian, Lianfu Qiu, Jianian Hu, Guoqiang Luo, Qiang Shen, Qi Tong   +6 more
wiley   +1 more source

Transparent Transfer‐Free Ultrasmall Multilayer Graphene Microelectrodes Enable High Quality Recordings in Brain Slices

Advanced Science, EarlyView.
A transfer‐free fabrication method enables multilayer graphene microelectrodes as small as 10 µm, eliminating reliability issues of manual graphene transfer. These electrodes record neural activity in brain slices with exceptional signal‐to‐noise ratios (up to 25–40 dB) while maintaining optical transparency for multimodal applications.
Nerea de Alvarez de Eulate, Christos Pavlou, Gonzalo León González, María Camarena Pérez, Lukas Holzapfel, Zhenyu Gao, Sten Vollebregt, Vasiliki Giagka   +7 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Symmetries of partial differential equations and stochastic processes in mathematical physics and in finance

, 2019
Paul Lescot, Laurène Valade
openalex   +1 more source