Results 111 to 120 of about 36,481,271 (303)

TIME SERIES ANALYSIS USING A UNIQUE MODEL OF TRANSFORMATION

Journal of Information and Organizational Sciences, 2007
REFII1 model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.
Goran Klepac
doaj  

AS‐TLC‐Based High‐Throughput Screening Integrated with CuAAC Optimization Strategy Facilitates the Rapid Discovery of YTHDC1 Inhibitor

Advanced Science, EarlyView.
We developed Affinity Selection Thin‐Layer Chromatography (AS‐TLC) as a method for high‐throughput screening (HTS) of compound mixtures. Furthermore, we integrated activity assays with AS‐TLC and identified a YTH domain‐containing protein 1 (YTHDC1) inhibitor. Building on this hit, we applied copper(I)‐catalyzed azide–alkyne cycloaddition (CuAAC) click
Mingchen Wang, Shuiping Fu, Ye Xu, Jia Gao, Jiwei Ren, Xu Yang, Hesong Xu, Ge Sun, Yanjie Li, Yanlin Wang, Lu Jin, Peijuan Chen, Ying Xu, Jianhao Li, Hua Lin, Chujiao Hu, Kaixian Chen, Huan Xiong, Cheng Luo, Shijie Chen   +19 more
wiley   +1 more source

An ontological characterization of time-series and state-sequences for data mining

, 2008
Time-series and sequences are important patterns in data mining. Based on an ontology of time-elements, this paper presents a formal characterization of time-series and state-sequences, where a state denotes a collection of data whose validation is ...
Guoxing Zhao, Zhao, Guoxing, Jixin Ma, Rongfang Bie, Bie, Rongfang, Ma, Jixin   +5 more
core   +1 more source

Chemotherapy‐Activated GSK3β‐DNMT1 Signaling Upregulates CD47 to Evade Macrophage Phagocytosis and Drive Temozolomide Resistance in Glioblastoma

Advanced Science, EarlyView.
Temozolomide treatment activates GSK3β, driving DNMT1 phosphorylation, destabilization, and CD47 promoter hypomethylation in glioblastoma. This epigenetic shift upregulates CD47, enabling TMZ‐treated GBM cells to evade macrophage phagocytosis, survive chemotherapy, and acquire resistance.
Jie Li, Shuai Ying, Yi Zhang, Jingjing Wang, Quan Wan, Lingli Gong, Daxing Xu, Zhenkun Yang, Hongnian Lu, Ying Yin, Xiangming Fang, Zhening Pu   +11 more
wiley   +1 more source

An Efficient Algorithm for Frequent Pattern Mining for Real-Time Business Intelligence Analytics in Dense Datasets [PDF]

Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of increasing thrust in many business applications such as e-commerce ...
Dass, Rajanish
core  

Transient Sleep Deprivation Induces Persistent Auditory Neuropathy via ROS‐Initiated Neuroinflammation and BK Channel Suppression

Advanced Science, EarlyView.
Sleep disturbance severity closely tracks hearing loss in a clinical cohort, yet the mechanistic link remains unclear. Acute sleep deprivation is shown to trigger transient cochlear oxidative stress that switches into a self‐sustaining neuroinflammatory state, suppressing BK channels and causing irreversible synaptopathy.
Dan Chen, Ying Ma, Lixuan Huang, Xin Chen, Fanliang Kong, Zhenzhou Qian, Mingyue Guan, Xinlin Wang, Yanyan Yang, Shasha Zhang, Peng Li, Renjie Chai   +11 more
wiley   +1 more source

Particularities of data mining in medicine: lessons learned from patient medical time series data analysis

EURASIP Journal on Wireless Communications and Networking, 2019
Nowadays, large amounts of data are generated in the medical domain. Various physiological signals generated from different organs can be recorded to extract interesting information about patients’ health.
Shadi Aljawarneh, Aurea Anguera, John William Atwood, Juan A. Lara, David Lizcano   +4 more
doaj   +1 more source

NCeSS Project : Data mining for social scientists [PDF]

, 2007
We will discuss the work being undertaken on the NCeSS data mining project, a one year project at the University of Manchester which began at the start of 2007, to develop data mining tools of value to the social science community. Our primary goal is to
Tekiner, Firat, Lin, Yuwei, Fagan, Colette, Nazroo, James Y., Gibson, Jon, Procter, Rob, Halfpenny, Peter   +6 more
core  

High‐Throughput Screening for Accelerated Oxide Glass Discovery

Advanced Science, EarlyView.
A high‐throughput screening platform is presented that allows for accelerating laboratory glass synthesis by a factor of 102, using multicomponent stereolithographic printing. Automatic sample evaluation is achieved via Raman spectroscopy and similarity analysis without any sample preparation.
Igor Seibel‐Geraschenko, Josef Slowik, Franziska Scheffler, Alexis Duval, N. M. Anoop Krishnan, Lothar Wondraczek   +5 more
wiley   +1 more source

Mining Emerging Patterns from Time Series Data with Time Gap Constraint

, 2012
Discovery of powerful contrasts between datasets is an important issue in data mining. To address this, the concept of emerging patterns (EPs) has thus been introduced by Dong and Li. EPs are a set of itemsets whose support changes significantly from one
Tseng, Vincent S., Yu, Hsieh-Hui; Chen, Chun-Hao; Tseng, Vincent S.   +1 more
core