Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This study was carried out at Bauchi (10°19’N; 09°50’E; Elevation 520 m), Nigeria, and it was the first of its kind in the country. Number of foraging bees returning to the hive was recorded for five minutes, at intervals of 30 minutes, and used as an indicator of flight activity. Temperature, light intensity and relative humidity were recorded concurrently. Two peaks of flight activity (one just before sunrise and the other just before sunset), separated by a period of very low activity, were observed in the dry season. However, in the rainy season flight activity was high throughout the day, declining progressively towards sunset. Though there was no significant correlation (P>0.05) between flight activity and temperature at 25°C, an inverse and highly significant correlation (r=-0.75; P
Usman H Dukku. 2013. \u201cDiurnal and Seasonal Flight Activity of the Honeybee, Apis Mellifera L, and its Relationship with Temperature, Light Intensity and Relative Humidity in the Savanna of Northern Nigeria\u201d. Global Journal of Science Frontier Research - C: Biological Science GJSFR-C Volume 13 (GJSFR Volume 13 Issue C4): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 113
Country: Germany
Subject: Global Journal of Science Frontier Research - C: Biological Science
Authors: Usman H Dukku, Zecarias Russom, Albert G Domo (PhD/Dr. count: 0)
View Count (all-time): 157
Total Views (Real + Logic): 4896
Total Downloads (simulated): 2544
Publish Date: 2013 06, Sat
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Neural Networks and Rules-based Systems used to Find Rational and
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This study was carried out at Bauchi (10°19’N; 09°50’E; Elevation 520 m), Nigeria, and it was the first of its kind in the country. Number of foraging bees returning to the hive was recorded for five minutes, at intervals of 30 minutes, and used as an indicator of flight activity. Temperature, light intensity and relative humidity were recorded concurrently. Two peaks of flight activity (one just before sunrise and the other just before sunset), separated by a period of very low activity, were observed in the dry season. However, in the rainy season flight activity was high throughout the day, declining progressively towards sunset. Though there was no significant correlation (P>0.05) between flight activity and temperature at 25°C, an inverse and highly significant correlation (r=-0.75; P
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