Results 101 to 110 of about 4,294,785 (258)

Spatial Economic Analysis in Data-Rich Environments [PDF]

Controlling for spatial effects in micro-economic studies of consumer and producer behavior necessitates a range of analytical modifications ranging from modest changes in data collection and the definition of variables to dramatic changes in the ...
Bell, Kathleen P., Dalton, Timothy J.
core   +1 more source

Machine learning algorithms of riverbed change and environments of the Lower Apalachicola River

Discover Applied Sciences
Coastal areas, deltas, and the lower end of large rivers have experienced profound long-term changes, destabilizing the environmental balance over the previous several decades.
Ali R. Alruzuq, Joann Mossa
doaj   +1 more source

Reconstructing Snow-Free Sentinel-2 Satellite Imagery: A Generative Adversarial Network (GAN) Approach

Remote Sensing
Sentinel-2 satellites are one of the major instruments in remote sensing (RS) technology that has revolutionized Earth observation research, as its main goal is to offer high-resolution satellite data for dynamic monitoring of Earth’s surface and climate
Temitope Seun Oluwadare, Dongmei Chen, Olawale Oluwafemi, Masoud Babadi, Mohammad Hossain, Oluwaseun Ibukun   +5 more
doaj   +1 more source

Cotargeting TREM2 and IL2 pathways triggers multipronged anticancer immunity

Molecular Oncology, EarlyView.
Von Locquenghien et al. report that MiTE‐144, a triggering receptor expressed on myeloid cells 2 (TREM2) blocking antibody fused to interleukin‐2 (IL2) variant with tumour microenvironment restricted activation, demonstrates superior anticancer efficiency in a preclinical setting.
Isaure Vanmeerbeek, Jenny Sprooten, Abhishek D. Garg   +2 more
wiley   +1 more source

STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sea ice forecasting remains a challenging topic due to the complexity of understanding its driving forces and modeling its dynamics. This article contributes to the expanding literature by developing a data-driven, artificial intelligence (AI)-based ...
Sizhe Wang, Wenwen Li, Chia-Yu Hsu
doaj   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Self-employment in Brazil and its determinants: a spatial analysis [PDF]

In this paper, we intend to identify some factors underlying the different rates of participation of self-employed workers in Brazilian municipalities. In contrast with previous analysis, our study is sensitive to the spatial dimension of self-employment
Ana Flávia Machado, Flavia Chein, Sueli Moro   +2 more
core  

Colorectal cancer‐derived FGF19 is a metabolically active serum biomarker that exerts enteroendocrine effects on mouse liver

Molecular Oncology, EarlyView.
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley, Michael W. Rohr, Joseph A. Goode, Sai Preethi Nakkina, Jignesh G. Parikh, Deborah A. Altomare   +5 more
wiley   +1 more source

Reconstructing Historical Landsat Time Series Using a Transformer-Based Deep Learning Approach: A Case Study in the Canadian Prairies Region

Canadian Journal of Remote Sensing
The Landsat program is crucial for monitoring environmental changes, benefiting from its long record of moderate-spatial-resolution imagery, well-established calibration, and commitment to providing open-access data.
Masoud Babadi Ataabadi, Darren Pouliot, Dongmei Chen, Temitope Seun Oluwadare   +3 more
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source