Results 61 to 70 of about 4,847 (258)

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

Localized monitoring of kNN queries in wireless sensor networks

The VLDB Journal, 2008
Wireless sensor networks have been widely used in civilian and military applications. Primarily designed for monitoring purposes, many sensor applications require continuous collection and processing of sensed data. Due to the limited power supply for sensor nodes, energy efficiency is a major performance concern in query processing.
Yuxia Yao, Xueyan Tang, Ee-Peng Lim
openaire   +3 more sources

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

DIM: a distributed air index based on MapReduce for spatial query processing in road networks

EURASIP Journal on Wireless Communications and Networking, 2018
In this era of mobile application and socialization, location-based services (LBSs) have become unprecedentedly popular and emphasized. By submitting its location to the service provider, the mobile terminal can obtain useful service.
Ran Jin, Gang Chen, Anthony K. H. Tung, Lidan Shou, Beng Chin Ooi, Yuting Gu   +5 more
doaj   +1 more source

Hepatic morphology and serum biochemical profile according to dry and rainy seasons in Pygocentrus nattereri (Characiformes: Serrasalmidae)

The Anatomical Record, EarlyView.
Abstract This study investigated the physiological and morphological adaptations of the liver of the carnivorous fish Pygocentrus nattereri (piranha) in response to seasonal variations (dry and rainy seasons) in the Brazilian Pantanal. The objective was to describe how the liver, a central organ in metabolic regulation, responds to environmental ...
Maria Eduarda Corona Garcia, Sandriely F. Marcondes, Mayara S. Siqueira, Taynara R. F. Leão, Robson A. Rodrigues, Karine N. N. Farias, André L. N. Silva, Karin Virgínia Kuibida, Lilian Franco‐Belussi, Carlos E. Fernandes   +9 more
wiley   +1 more source

FurMoLi: A Future Query Technique for Moving Objects Based on a Learned Index

Mathematics
The future query of moving objects involves predicting their future positions based on their current locations and velocities to determine whether they will appear in a specified area.
Jiwei Yang, Chong Zhang, Wen Tang, Bin Ge, Hongbin Huang, Shiyu Yang   +5 more
doaj   +1 more source

A New Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance

Information, 2018
The K-nearest neighbour classifier is very effective and simple non-parametric technique in pattern classification; however, it only considers the distance closeness, but not the geometricalplacement of the k neighbors.
Sumet Mehta, Xiangjun Shen, Jiangping Gou, Dejiao Niu   +3 more
doaj   +1 more source

Direct Comparison Between Loss‐to‐Follow‐Up and Statistical Fragility Is Methodologically Inappropriate, and Fragility Reflects the P Value, Not Trial Robustness: A Simulation Analysis of 300,000 Randomized Controlled Trials

Arthroscopy, EarlyView.
Purpose To assess the relation between the fragility index (FI) and reverse fragility index (RFI) with the minimum number of patients needed to reverse statistical significance (e.g. henceforth termed the lost to follow‐up index (LTFI) and reverse LTFI (R‐LTFI), respectively) and apply machine learning to identify which trial parameters are most ...
Prushoth Vivekanantha, Helena Son, Jeffrey Kay, Satyavenkata Kotipalli, Marc Daniel Bouchard, Kim Madden, Nicole Simunovic, Olufemi R. Ayeni   +7 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Continuous Monitoring of kNN Queries in Wireless Sensor Networks

, 2006
Wireless sensor networks have been widely used for civilian and military applications, such as environmental monitoring and vehicle tracking. In these applications, continuous query processing is often required and their efficient evaluation is a critical requirement to be met.
Yuxia Yao, Xueyan Tang, Ee-Peng Lim
openaire   +3 more sources