Tissue‐Level Transcriptomic Entropy Reveals Organ‐Specific Aging Patterns and Predicts Cancer Progression [PDF]
Tissue‐level transcriptomic entropy shows organ‐specific trajectories during aging and is elevated in cancers. Across large human cohorts, higher entropy associates with proliferation, senescence, reprogramming, and poorer cancer prognosis. High‐entropy biological processes display cancer‐like programs even in normal tissues, supporting entropy as an ...
Gabriel Arantes dos Santos +5 more
wiley +2 more sources
Geophysical tutorial: Euler deconvolution of potential-field data
In this tutorial, we will talk about a widely used method of interpretation for potential-field data called Euler de-convolution. Our goal is to demonstrate its usefulness and, most important, to call attention to some pitfalls encountered in interpretation of the results. The code and synthetic data required to reproduce our results and figures can be
Leonardo Uieda +2 more
openaire +2 more sources
Cocoa Bean Shell as a Functional Food By‐Product: Antioxidant Potential and Toxicological Thresholds in Drosophila melanogaster [PDF]
The graphical abstract details the evaluation of Cascau extract, addressing its chemical composition, neurobehavioral parameters, and safety. The preparation of the CBS extract, using combined hot and cold aqueous extraction followed by lyophilization, revealed a rich chemical characterization, including polyphenols (32.04 mg GAE/g), flavonoids (10.7 ...
Fernanda dos Santos Trombini +12 more
wiley +2 more sources
Fixed window joint Euler deconvolution for depth estimation of magnetic and gravity data in the Shavaz region [PDF]
This study presents an advanced joint Euler deconvolution algorithm for the integrated analysis of magnetic and gravity data, which employs an adaptive fixed window size to enhance subsurface depth estimation in the Shavaz region.
Seyed Hossein Hosseini +5 more
doaj +2 more sources
Enhancing microstructural fidelity in near‐field high‐energy diffraction microscopy reconstruction with Noise2Void denoising [PDF]
A self‐supervised deep learning model, Noise2Void (N2V), denoises near‐field high‐energy diffraction microscopy diffraction images without requiring unobtainable clean data. These images allow for lower segmentation thresholds and detection of smaller and weaker diffraction peaks, which are often discarded or overlooked with conventional image ...
Xiaoxu Guo +6 more
wiley +2 more sources
Evaluation of gold mineralisation potential using AHP systems and weighted overlay analysis [PDF]
The demand for sustainable development goals and the absence of systematic development and organised exploration for gold has prompted this study to integrate magnetic and radiometric datasets with lithology to evaluate the gold mineralisation potential ...
Fahad Abubakar +8 more
doaj +2 more sources
Litho-structural interpretation of aeromagnetic anomalies reveals potential for mineral exploration in Tizi n'Test Region, Western High Atlas, Morocco [PDF]
This study interprets aeromagnetic data from the Tizi n'Test area in the High Atlas massif of Morocco, aiming to gain insights into its litho-structural architecture and implications for mineral exploration and mining.
Bouchra Dadi +11 more
doaj +2 more sources
This article analyzes some aeromagnetic filtering techniques for mitigating deceptive geophysical conceptions that may result in a distorted range of geological information from aeromagnetic data.
Aina Oni Olubukola +2 more
doaj +1 more source
Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey
Great progress has been made in the integration of Unmanned Aerial Vehicle (UAV) magnetic measurement systems, but the interpretation of UAV magnetic data is facing serious challenges.
Yaxin Mu +3 more
doaj +1 more source
Using magnetic data for estimating the location of lateral boundaries and the depth of the shallow salt dome of Aji-Chai, East Azerbaijan Province, Iran [PDF]
Magnetic data play a significant role in the interpretation of various geologic structures using depth estimation methods and edge detection filters.
Ahmad Alvandi, Reza Ghanati
doaj +1 more source

