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Martin Bencsik  - - - 
Top co-authors
Michael I. Newton

95 shared publications

School of Science and Technology; Nottingham Trent University; Clifton Campus, Clifton Lane Nottingham UK NG11 8NS

Robert H. Morris

33 shared publications

School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK

Publication Record
Distribution of Articles published per year 
(2008 - 2018)
Total number of journals
published in
Article 0 Reads 0 Citations Extensive Vibrational Characterisation and Long-Term Monitoring of Honeybee Dorso-Ventral Abdominal Vibration signals. M. Ramsey, M. Bencsik, M. I. Newton Published: 01 October 2018
Scientific Reports, doi: 10.1038/s41598-018-32931-z
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
A very common honeybee signal is the dorso-ventral abdominal vibration (DVAV) signal, widely accepted as a modulatory signal meaning: "prepare for greater activity". In this study, using ultra-sensitive accelerometer technology embedded in the honeycomb, we visually confirm the one-to-one relationship between a DVAV signal being produced and the resulting accelerometer waveform, allowing the measurement of DVAV signals without relying on any visual inspection. We then demonstrate a novel method for the continuous in-situ non-invasive automated monitoring of this honeybee signal, not previously known to induce any vibration into the honeycomb, and most often inaudible to human hearing. We monitored a total of three hives in the UK and France, showing that the signal is very common, highly repeatable and occurs more frequently at night, exhibiting a distinct decrease in instances and increase in amplitude towards mid-afternoon. We also show an unprecedented increase in the cumulative amplitude of DVAV signals occurring in the hours preceding and following a primary swarm. We conclude that DVAV signals may have additional functions beyond solely being a foraging activation signal, and that the amplitude of the signal might be indicative of the switching of its purpose.
Article 4 Reads 3 Citations Long-term trends in the honeybee ‘whooping signal’ revealed by automated detection Michael Ramsey, Martin Bencsik, Michael I. Newton Published: 08 February 2017
PLOS ONE, doi: 10.1371/journal.pone.0171162
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It is known that honeybees use vibrational communication pathways to transfer information. One honeybee signal that has been previously investigated is the short vibrational pulse named the ‘stop signal’, because its inhibitory effect is generally the most accepted interpretation. The present study demonstrates long term (over 9 months) automated in-situ non-invasive monitoring of a honeybee vibrational pulse with the same characteristics of what has previously been described as a stop signal using ultra-sensitive accelerometers embedded in the honeycomb located at the heart of honeybee colonies. We show that the signal is very common and highly repeatable, occurring mainly at night with a distinct decrease in instances towards midday, and that it can be elicited en masse from bees following the gentle shaking or knocking of their hive with distinct evidence of habituation. The results of our study suggest that this vibrational pulse is generated under many different circumstances, thereby unifying previous publication’s conflicting definitions, and we demonstrate that this pulse can be generated in response to a surprise stimulus. This work suggests that, using an artificial stimulus and monitoring the changes in the features of this signal could provide a sensitive tool to assess colony status.
Article 4 Reads 4 Citations Honeybee Colony Vibrational Measurements to Highlight the Brood Cycle Martin Bencsik, Yves Le Conte, Maritza Reyes, Maryline Pioz,... Published: 18 November 2015
PLOS ONE, doi: 10.1371/journal.pone.0141926
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Insect pollination is of great importance to crop production worldwide and honey bees are amongst its chief facilitators. Because of the decline of managed colonies, the use of sensor technology is growing in popularity and it is of interest to develop new methods which can more accurately and less invasively assess honey bee colony status. Our approach is to use accelerometers to measure vibrations in order to provide information on colony activity and development. The accelerometers provide amplitude and frequency information which is recorded every three minutes and analysed for night time only. Vibrational data were validated by comparison to visual inspection data, particularly the brood development. We show a strong correlation between vibrational amplitude data and the brood cycle in the vicinity of the sensor. We have further explored the minimum data that is required, when frequency information is also included, to accurately predict the current point in the brood cycle. Such a technique should enable beekeepers to reduce the frequency with which visual inspections are required, reducing the stress this places on the colony and saving the beekeeper time.
Article 0 Reads 6 Citations Detection of Virgin Olive Oil Adulteration Using Low Field Unilateral NMR Zheng Xu, Robert H. Morris, Martin Bencsik, Michael I. Newto... Published: 24 January 2014
Sensors, doi: 10.3390/s140202028
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The detection of adulteration in edible oils is a concern in the food industry, especially for the higher priced virgin olive oils. This article presents a low field unilateral nuclear magnetic resonance (NMR) method for the detection of the adulteration of virgin olive oil that can be performed through sealed bottles providing a non-destructive screening technique. Adulterations of an extra virgin olive oil with different percentages of sunflower oil and red palm oil were measured with a commercial unilateral instrument, the profile NMR-Mouse. The NMR signal was processed using a 2-dimensional Inverse Laplace transformation to analyze the transverse relaxation and self-diffusion behaviors of different oils. The obtained results demonstrated the feasibility of detecting adulterations of olive oil with percentages of at least 10% of sunflower and red palm oils.
Article 0 Reads 0 Citations Quantitation of MRI sensitivity to Quasi-monodisperse microbubble contrast agents for spatially resolved manometry Martin Bencsik, Amgad Al-Rwaili, Robert Morris, David J. Fai... Published: 11 December 2012
Magnetic Resonance in Medicine, doi: 10.1002/mrm.24575
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 5 Citations Quantitative NMR monitoring of liquid ingress into repellent heterogeneous layered fabrics Martin Bencsik, Hans Adriaensen, Stuart A. Brewer, Glen McHa... Published: 01 July 2008
Journal of Magnetic Resonance, doi: 10.1016/j.jmr.2008.04.003
DOI See at publisher website PubMed View at PubMed