Results 111 to 120 of about 141,058 (288)

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Surviving Tidal Tails Around the Milky Way Bulge Globular Cluster NGC 6355

The Astronomical Journal
We present results of the analysis of a set of images obtained in the field of the Milky Way bulge globular cluster NGC 6355 using the Dark Energy Camera, which is attached to the 4 m Blanco telescope of the Cerro-Tololo Interamerican Observatory.
Andrés E. Piatti
doaj   +1 more source

Application of digital computer techniques to rectification and enhancement of astronomical images [PDF]

An image processing program is reported to analyze the high resolution images obtained by the balloon borne 36 in. diameter stratoscope 2 telescope. A film recording device is described which is capable of converting numerical data from the computer into
Danielson, R. E.
core   +1 more source

Deep Learning Techniques for Astronomical Object Classification

, 2022
As there are an infinite number of deep space objects, it is crucial to differentiate those space objects such as stars, galaxies, or quasars in recent or upcoming deep astronomical surveys. This task becomes very difficult because of the tedious procedure for separation between edgy and expanded sources, which makes this classification problem a ...
openaire   +1 more source

Asking the 5 W's for designing next‐generation bioprocessing

AIChE Journal, EarlyView.
Abstract Biotechnology is expanding beyond traditional, centralized fermentation and toward next‐generation bioprocessing paradigms that emphasize flexible deployment outside the laboratory with application‐specific performance. However, many bioprocesses fail to translate beyond proof‐of‐concept into industrially viable systems because early design ...
Sangdo Yook, Karoline Maria Vieira Nogueira, Raj Sukumar, Jenna Miller, Hal S. Alper   +4 more
wiley   +1 more source

Cloud Removal in Full-disk Solar Images Using Deep Learning

The Astrophysical Journal Supplement Series
Ground-based solar telescopes often encounter cloud interference during observations, leading to varying degrees of cloud cover in solar images. Existing cloud removal methods face several challenges, including incomplete cloud removal, insufficient ...
Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li   +3 more
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

Interstellar grain chemistry and the composition of comets [PDF]

During the past 15 years considerable progress in observational techniques has been achieved in the middle infrared, the spectral region most diagnostic of molecular vibrations.
Allamandola, Louis J., Sandford, Scott A., Valero, F. P. J.   +2 more
core   +1 more source

Recursive Anchoring Techniques in Astronomical Data Analysis

Journal of Research in Science and Engineering
The conventional approach to astronomical research assumes that large - scale observational data is necessary to define cosmic structures. This paper proposes a recursive anchoring method where a fraction of the dataset, when correctly defined within a recursive framework, can reconstruct the same “center of existence” as a full dataset.
openaire   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source