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Imaging live bee brains using minimally-invasive diagnostic radioentomology
Sensitivity of the honey bee brain volume and density to behavior (plasticity) makes it a great model for exploring the interactions between experience, behavior and brain structure. Plasticity in the adult bee brain has been...
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Imaging live bee brains using minimally-invasive diagnostic radioentomology
Sensitivity of the honey bee brain volume and density to behavior (plasticity) makes it a great model for exploring the interactions between experience, behavior and brain structure. Plasticity in the adult bee brain has been...
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Mountain Apiculture and Environmental Dynamics
This study aims at analyzing the effects of climate variability on bee farming in Mount Oku. The guiding premise is that climate variability has brought about environmental changes causing a fall in the quantity and quality of...
Mountain Apiculture and Environmental Dynamics
This study aims at analyzing the effects of climate variability on bee farming in Mount Oku. The guiding premise is that climate variability has brought about environmental changes causing a fall in the quantity and quality of...
An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem
The Multidimensional Knapsack Problem (MDKP) stands as a prominent challenge in combinatorial optimization, with diverse applications across various domains. The Artificial Bee Colony (ABC) algorithm is a swarm intelligence...
Knowledge Inferencing Using Artificial Bee Colony and Rough Set for Diagnosis of Hepatitis Disease
Vast volumes of raw data are generated from the digital world each day. Acquiring useful information and chief features from this data is challenging, and it has become a prime area of current research. Another crucial area is...
Description of an ancient social bee trapped in amber using diagnostic radioentomology
The application of non-invasive imaging technologies using X-radiation (diagnostic radioentomology, ‘DR’) is demonstrated for the study of amber-entombed social bees. Here, we examine the external and internal morphology of an...
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Description of an ancient social bee trapped in amber using diagnostic radioentomology
The application of non-invasive imaging technologies using X-radiation (diagnostic radioentomology, ‘DR’) is demonstrated for the study of amber-entombed social bees. Here, we examine the external and internal morphology of an...
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Artificial Bee Colony Optimized Deep Neural Network Model for Handling Imbalanced Stroke Data
Ajay Dev, Sanjay Malik
Sep 01, 2021
The healthcare domain gets wide attention among the research community due to incremental data growth, advanced diagnostic tools, medical imaging processes, and many more. Enormous healthcare data is generated through diagnostic...
Improved Artificial Bee Colony Algorithm for Multimodal Optimization Based on Crowding Method
Many real-world problems can be transformed into multimodal functional optimization. Each of these problems may include several globally optimal solutions, rendering the solution of the problem progressively more difficult. In...
Predicting Corporate Financial Risk Using Artificial Bee Colony-Attention-Gated Recurrent Unit Model
Corporate financial risk prediction is a critical task for ensuring the stability and success of businesses in today's dynamic economic landscape. However, existing models often fall short in accurately assessing and managing...
Comparative Study of Wolf Pack Algorithm and Artificial Bee Colony Algorithm
Swarm intelligence optimization algorithms have been widely used in the fields of machine learning, process control and engineering prediction, among which common algorithms include ant colony algorithm (ACO), artificial bee...
The Effect of Advance Care Planning on Heart Failure
Abstract: Background: Advance care planning is widely advocated to improve outcomes in end-of-life care for patients suffering from heart failure. But until now, there has been no systematic evaluation of the impact of advance...
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Palliative and end-of-life care and junior doctors
BACKGROUND: Palliative and end-of-life care is a core competency for doctors and is increasingly recognised as a key clinical skill for junior doctors. There is a growing international movement to embed palliative care education...
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On the Application of Quick Artificial Bee Colony Algorithm (qABC) for Attenuation of Test Suite in Real-Time Software Applications
Software testing plays a vital role during the software development process, as it ensures quality software deployment. Success of software testing depends on the design of effective test cases. To achieve the optimization of...
Clustering Approach Using Artificial Bee Colony Algorithm for Healthcare Waste Disposal Facility Location Problem
In this study, an Artificial Bee Colony (ABC) based clustering algorithm is proposed for solving continuous multiple facility location problems. Unlike the original version applied to multivariate data clustering, the ABC based...
Artificial Bee Colony and Deep Neural Network-Based Diagnostic Model for Improving the Prediction Accuracy of Diabetes
A large number of machine learning approaches are implemented in healthcare field for effective diagnosis and prediction of different diseases. The aim of these machine learning approaches is to build automated diagnostic tool...
Optimum hospice at home services for end-of-life care
INTRODUCTION: Hospice at home (HAH) services aim to enable patients to be cared for and die in their place of choice, if that is at home, and to achieve a 'good death'. There is a considerable range of HAH services operating in...
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The Lantern Vol. 22, No. 3, May 1954
Thanatos A Nightmare Called Hystery All The Frills and Lace Ba-bee Patrol The Devil You Say When Love Was Light On the Brink Bouquet You Individualist You Beggarwoman Together Plea The City On...
Published by: Ursinus College

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