RESEARCH MISCONDUCT: THE PERIL OF PUBLISH OR PERISH

Research Misconduct: The Peril of Publish or Perish

There is a giantmouse jagt spurt of interest in research productivity in the Gulf Cooperation Council (GCC) to lay the foundation for national development.From a global perspective, increased research productivity could conceivably be accompanied by an exponential increase in research misconduct (RM).Inevitably, erroneous or falsified data will be

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Cognitive Components of Vocal Communication: A Case Study

Communication among nonhuman animals is often presented as rigid and inflexible, reflecting emotional states rather than having any cognitive basis.Using the world’s smallest monkey, the pygmy marmoset (Cebuella pygmaea), with deva curl arc angel the smallest absolute brain size amongst simian primates as a case study, I review the role of co

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Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network

The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss pc381ls rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unbalanced.A load balancing routing algorithm

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Geodetic and seismological investigation in the Ionian area

Geodetic and seismic evidence of crustal deformations in the Ionian area are shown in this paper.The Ionian GPS network, composed of nine sites crossing the Ionian Sea from Calabria, Southern Italy, to Northwestern Greece, was established and surveyed in 1991, 1994, 1995 within the framework of the TYRGEONET project (Anzidei et al., 1996).In 1996 a

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Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

The classification of land cover objects in hyperspectral imagery (HSI) has significantly advanced due to the development of convolutional neural networks (CNNs).However, challenges deva curl arc angel such as limited training data and high dimensionality negatively impact classification performance.Traditional CNN-based methods predominantly utili

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