Results 191 to 200 of about 7,710 (298)

Identification of 39 stripe rust resistance loci in a panel of 465 winter wheat entries presumed to have high-temperature adult-plant resistance through genome-wide association mapping and marker-assisted detection. [PDF]

Front Plant Sci
Yao F, Wang M, See DR, Yang E, Chen G, Chen X.   +5 more
europepmc   +1 more source

Multi-Sensor Adaptive Weighted Data Fusion Based on Biased Estimation. [PDF]

Sensors (Basel)
Qiu M, Liu B.
europepmc   +1 more source

An algorithm for seizure detection in rodents

Epilepsia Open, EarlyView.
Abstract Objective Epilepsy animal research often relies on long‐term intracranial electroencephalographic (iEEG) recordings. Here, we describe an artificial neural network (ANN) algorithm for automatic detection of seizures. Methods The algorithm was trained on iEEG recordings of three mouse models of chronic epilepsy: (1) the pilocarpine model of ...
Lyna Kamintsky, Gerben van Hameren, Itai Weissberg, Pooyan Moradi, Ofer Prager, Alaa Abu Ahmad, Lior Schori, Albert Becker, Yaniv Zigel, Alon Friedman   +9 more
wiley   +1 more source

Generalized robust regression techniques and adaptive cluster sampling for efficient estimation of population mean in case of rare and clustered populations. [PDF]

Sci Rep
Subzar M, Alqurashi T, Chandawat D, Tamboli S, Raja TA, Attri AK, Wani SA.   +6 more
europepmc   +1 more source

Assessing Computational Complexity in Selecting Periods for LMDI Techniques in Energy‐Related Carbon Dioxide Emissions: An Alternative Approach

Energy Science &Engineering, EarlyView.
ABSTRACT The Logarithmic Mean Divisia Index (LMDI) decomposition analysis is widely employed to examine the drivers behind changes in carbon dioxide emissions related to energy consumption. This analysis has been applied using single‐period, year‐by‐year, and multi‐period time frames worldwide. However, these time frames often overlook trend changes in
Juan David Rivera‐Niquepa, Jose M. Yusta, Paulo M. De Oliveira‐De Jesus   +2 more
wiley   +1 more source

Reformulating the meta-analytical random effects model of the standardized mean difference as a mixture model. [PDF]

Behav Res Methods
Suero M, Botella J, Duran JI, Blazquez-Rincón D.   +3 more
europepmc   +1 more source

STIP1 drives Metabolic Reprogramming in Esophageal Squamous Cell Carcinoma via AHCY‐LDHA Axis

Exploration, EarlyView.
A schematic model illustrating that LCA can inhibit ESCC growth by inhibiting the STIP1/AHCY/LDHA axis. In brief. Jin et al. demonstrated that targeting STIP1 can significantly inhibit the progression of esophageal squamous cell carcinoma. The high expression of STIP1 increased the interaction between AHCY and LDHA and then AHCY recruits PRMT3 to ...
Guoguo Jin, Yanming Song, Mingyang Yan, Shaobo Fang, Yang Shao, Kexin Zhao, Meng Liu, Qinxin Guo, Xinyang Jia, Chengjuan Zhang, Zhenwei Wang, Kangdong Liu, Xiang Li, Simin Zhao, Mee‐Hyun Lee, Zhiping Guo, Zigang Dong   +16 more
wiley   +1 more source

When does adjusting covariate under randomization help? A comparative study on current practices. [PDF]

BMC Med Res Methodol
Gao Y, Liu Y, Matsouaka R.
europepmc   +1 more source

Emerging Target Discovery Strategies Drive the Decoding of Therapeutic Power of Natural Products and Further Drug Development: A Case Study of Celastrol

Exploration, EarlyView.
Using celastrol as a case study, this review summarizes various target discovery strategies for natural products, including chemical proteomics, protein microarray, degradation‐based protein profiling, proteome‐wide label‐free approaches, network pharmacology, target‐based drug screening, and indirect strategies.
Yanbei Tu, Guiyu Dai, Yanyan Chen, Lihua Tan, Hanqing Liu, Meiwan Chen   +5 more
wiley   +1 more source

Analyzing LinkedIn data to explore the relationships between sustainable development goals, circular economy, and electoral dynamics. [PDF]

Sci Rep
Tsagarakis KP, Daglis T, Gkillas K, Mavragani A.   +3 more
europepmc   +1 more source