Results 121 to 130 of about 80,641 (302)

Mobile Game Evaluation Method Based on Data Mining of Affective Time Series

Sensors
Our work is positioned at the intersection of game data science, affective gaming, and the implementation of multimodal body sensors analysis. We propose an original method of evaluating the quality of a class of video games based on the emotional ...
Jeremi K. Ochab, Paweł Węgrzyn, Przemek Witaszczyk, Dominika Drążyk, Grzegorz J. Nalepa   +4 more
doaj   +1 more source

Beyond d‐Band Catalysis: A Critical Review and Descriptor Framework for Rare‐Earth Engineering in Lithium–Sulfur Batteries

Advanced Science, EarlyView.
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang, Shihzad Shakil, Guozhi Wu, Jiarui Huang, Hanhui Lei, Terence Xiaoteng Liu   +5 more
wiley   +1 more source

Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression

Advanced Science, EarlyView.
The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren, Xiaogang Li, Hao Li, Zenghui Cao, Mengtian Hou, Chunlei Zhao, Nan Lou, Sasa Hu, Yanzhe Li, Qian Ma, Yaoyao Li, Yi Fan, Kunkun Zhao, Kai Zhao, Ding Qiu, Fangping Gong, Zhongfeng Li, Haitao Liu, Xingli Ma, Xingxiang Wang, Dongmei Yin   +20 more
wiley   +1 more source

Generating time series reference models based on event analysis

, 2010
Creating a reference model that represents a given set of time series is a relevant problem as it can be applied to a wide range of tasks like diagnosis, decision support, fraud detection, etc. In some domains, like seismography or medicine, the relevant
Caraça-Valente Hernández, Juan Pedro, Lara Torralbo, Juan Alfonso, Pérez Pérez, Aurora   +2 more
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Robust exponential smoothing of multivariate time series. [PDF]

Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe, Gelper, Sarah, Mahieu, Koen   +2 more
core  

A Conserved DT2‐bZIP66‐NF‐YC4 Regulatory Module Confers Drought Tolerance in Rice and Arabidopsis

Advanced Science, EarlyView.
This study identifies a conserved tripartiteDT2–bZIP66–NF‐YC4 transcriptional module that enhances rice drought tolerance by activating stress‐responsive genes. This regulatory complex is functionally conserved across cereals and Arabidopsis, providing promising targets for engineering drought‐resilient crops. ABSTRACT Drought stress severely restricts
Jun Shen, Yuchen Li, Liang Zhang, Xiaosong Ma, Chenyin Peng, Chunting Yuan, Yu Wu, Kaiyu Zhao, Sheng Zhao, Jiazhuo Guo, Run Li, Ziqian Yan, Shule Ren, Yige Han, Xin Lin, Xinyue Li, Ming Li, Pingfang Yang, Shiyong Song   +18 more
wiley   +1 more source

Mining Interval Time Series

, 1999
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are common in many applications.
Villafane, Roy, Hua, Kien A., Tran, Duc
core   +1 more source

Identification of a Nonribosomal Peptide Analog With Activity Against Multiple Gram‐Positive Bacteria via a Synthetic Bioinformatic Natural Product Discovery Approach

Advanced Science, EarlyView.
The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen, Jiayi Liang, Yujia Wu, Jianan Xu, Yi Liu, Wenguang Wang, Xinhang Jiang, Benjie Gao, Yueyue Wang, Hui Jiang   +9 more
wiley   +1 more source

Tandem Duplication‐Driven Neofunctionalization of UDP‐Glycosyltransferases Shapes the Diversification of Triterpenoid Saponins in the Cucurbitaceae

Advanced Science, EarlyView.
We present a chromosome‐level genome assembly of Siraitia grosvenorii and, through comparative genomics, uncover a conserved UGT73 tandem array driving triterpenoid saponin diversification in Cucurbitaceae. Crystalized SgUGT73AM30 further reveals the regioselectivity mechanism underlying its catalytic activity.
Guangyi Wang, Mengmeng Li, Xuehui Dai, Yanchen Zhang, Yuhan Wu, Zhaotao Yan, Chenfei Tian, Hongkai Fan, Haili Liu, Xiaowei Zhang, Yiming Yang, Jiayu Lu, Yuwei Sun, Yong Wang   +13 more
wiley   +1 more source