Results 31 to 40 of about 207,385 (262)

Calibration Transfer for Food Recognition Models for E-Noses [PDF]

Proceedings of the 9th International Conference on the Internet of Things, 2019
Gas sensors using the low-priced MOS technique face several problems that reduce their applicability for classification tasks. In literature, several methods can be found that try to alleviate these problems. In this extended abstract, we focus on the problem that the behavior of different sensors (of same type) results in different data even for the ...
Andreas Seiderer, Chi Tai Dang, Elisabeth André   +2 more
openaire   +1 more source

Detection for rice odors and identification of varieties based on electronic nose technique

浙江大学学报. 农业与生命科学版, 2011
An investigation was made to distinguish five rice varieties with PEN 2 electronic nose. The matched experiment factors including the sample mass, headspace volume and generated time were studied.
HU Gui-xian, WANG Jun, WANG Jian-jun, WANG Xiao-li   +3 more
doaj   +1 more source

Improved Classification of Orthosiphon stamineus by Data Fusion of Electronic Nose and Tongue Sensors

Sensors, 2010
An improved classification of Orthosiphon stamineus using a data fusion technique is presented. Five different commercial sources along with freshly prepared samples were discriminated using an electronic nose (e-nose) and an electronic tongue (e-tongue).
Latifah Munirah Kamarudin, Abdul Hallis Abdul Aziz, Abu Hassan Abdullah, Nazifah Ahmad Fikri, Maz Jamilah Masnan, MohdNoor Ahmad, Abdul Hamid Adom, Ali Yeon Md. Shakaff, Ammar Zakaria   +8 more
doaj   +1 more source

A Review on Electronic Nose: Coherent Taxonomy, Classification, Motivations, Challenges, Recommendations and Datasets

IEEE Access, 2021
Context: Quality Control (QC) has been constantly an essential concern in many fields like food industry production, medical drugs, environmental protection, and so on.
Wisam Subhi Al-Dayyeni, Shahad Al-Yousif, Mayada M. Taher, Ahmad Wahib Al-Faouri, Nooritawati Md Tahir, Mustafa Musa Jaber, Fahad Ghabban, Ihab A. Najm, Ibrahim M. Alfadli, Omair Z. Ameerbakhsh, Mohannad Jabbar Mnati, Nael A. Al-Shareefi, Abbadullah H. Saleh   +12 more
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Discrimination and Prediction of Pork Freshness by E-nose [PDF]

, 2012
An electronic nose (e-nose) was used to establish a freshness evaluation model for pork. A pre-experiment was performed to acquire optimum parameters (10 g sample mass with 5 min headspace-generation time in 500 mL vial) for later e-nose detection of pork. Responding signals of the e-nose were extracted and analyzed.
Xuezhen Hong, Jun Wang 0038
openaire   +1 more source

Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler, Vivian Maas, Arian Taheri Amin, Jennifer Faber, Tamara Schaprian, Katharina Hill, Matthis Synofzik, Lisa H. Graf, Heike Jacobi, Manuela Lima, Ana F. Ferreira, Bart P. van de Warrenburg, Ilse H. J. Willemse, Dagmar Timmann, Andreas Thieme, Paola Giunti, Hector Garcia‐Moreno, Magda M. Santana, Jeannette Hübener‐Schmid, Elin H. Davies, Thomas Klockgether   +20 more
wiley   +1 more source

Comparison of e-Noses: the case study of honey

Italian Journal of Food Science, 2016
In the present work we compare a traditional, MOS-based e-Nose consisting of an array of ten metal oxide array sensors, with an MS-based instrument based on Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS). The sample set consisted of 14 honey samples from South Tyrol, an Italian alpine region, which were compared with other 12 ...
Romano, A., Cuenca, M., Makhoul, Salim, Biasioli, Franco, Martinello, L., Fugatti, A., Scampicchio, M.   +6 more
openaire   +3 more sources

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +1 more source

Research progress of electronic nose in fruit and vegetable disease detection

Shipin yu jixie, 2023
This paper summarized the latest research progress and achievements of electronic nose technology in fruits and vegetables postharvest diseases, including single pathogen infection and multiple pathogens infection. The shortcomings of current E-nose were
WU Jia-wen, LIU Zhi-hao, PANG Lin-jiang, CHENG Ji-yu   +3 more
doaj   +1 more source