Results 61 to 70 of about 1,042,888 (328)
Vegetation productivity, as an essential global carbon sink, directly influences the variety and stability of ecosystems. Precise vegetation productivity monitoring and forecasting are crucial for the global carbon cycle.
Jie Ren +4 more
doaj +1 more source
Robust Estimation under Heavy Contamination using Enlarged Models [PDF]
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. In this paper, our concern is to develop a new approach for robust data analysis based on scoring rules.
Fujisawa, Hironori, Kanamori, Takafumi
core
Molecular cancer prevention: Intercepting disease
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco +2 more
wiley +1 more source
Araştırmalarda uygun istatistiksel tekniğin belirlenmesi, araştırmanın metodolojik tasarımının yanı sıra analizin amacı, örneklem büyüklüğü ve yapısı, verilerin ve veri setinin karakteristiğinin de dikkate alınmasını gerektiren zorlayıcı bir aşamadır ...
İrem Çelik, Sibel Urlu, Ergul Demir
doaj +1 more source
Clustering Time Series from Mixture Polynomial Models with Discretised Data [PDF]
Clustering time series is an active research area with applications in many fields. One common feature of time series is the likely presence of outliers. These uncharacteristic data can significantly effect the quality of clusters formed.
Bagnall, AJ, Janacek, GJ, Zhang, M
core
KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
Outliers in dynamic factor models
Dynamic factor models have a wide range of applications in econometrics and applied economics. The basic motivation resides in their capability of reducing a large set of time series to only few indicators (factors). If the number of time series is large
Baragona, Roberto, Battaglia, Francesco
core +1 more source
A tri‐culture of iPSC‐derived neurons, astrocytes, and microglia treated with ferroptosis inducers as an Induced ferroptosis model was characterized by scRNA‐seq, cell survival, and cytokine release assays. This analysis revealed diverse microglial transcriptomic changes, indicating that the system captures key aspects of the complex cellular ...
Hongmei Lisa Li +6 more
wiley +1 more source
Automatic cleaning of outliers in multibeam bathymetric data with clustering algorithm [PDF]
Wei Yuan +3 more
openalex +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source

