AIMC Topic: Honey

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The development of honey recognition models with broad applicability based on the association of isotope and elemental content with ANNs.

Food chemistry Jun 24, 2024
Honey adulteration represents a worldwide problem, driven by the illicit economic gain that producers, traders, or merchants pursue. Among the falsification methods that can unfairly influence the price is the incorrect declaration of the botanical o...
Honey Neural Networks, Computer Food Contamination
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Tracing the origin and authenticity of Spanish PDO honey using metagenomics and machine learning.

International journal of food microbiology Jun 8, 2024
The Protected Designation of Origin (PDO) indication for foods intends to guarantee the conditions of production and the geographical origin of regional products within the European Union. Honey products are widely consumed due to their health-promot...
Machine Learning Bacteria Spain Food Contamination Honey Food Microbiology Metagenomics
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Clustering honey samples with unsupervised machine learning methods using FTIR data.

Anais da Academia Brasileira de Ciencias Mar 1, 2024
This study utilizes Fourier transform infrared (FTIR) data from honey samples to cluster and categorize them based on their spectral characteristics. The aim is to group similar samples together, revealing patterns and aiding in classification. The p...
Honey Fourier Analysis Cluster Analysis Unsupervised Machine Learning Spectroscopy, Fourier Transform Infrared
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Naturally occurring caffeic acid phenethyl ester from chestnut honey-based propolis and virtual screening towards DYRK1A.

Natural product research Feb 1, 2024
Neurodegenerative diseases (NDDs) are disorders with dysfunction and ongoing loss of neurons, glial cells and the neural networks in the brain and spinal cord. DYRK1A protein was reported to modulate to the cytoskeletal fraction in human and mouse br...
Propolis Molecular Structure Chromatography, High Pressure Liquid Protein-Tyrosine Kinases Protein Serine-Threonine Kinases Caffeic Acids Dyrk Kinases Humans Phenylethyl Alcohol Molecular Docking Simulation Animals Tandem Mass Spectrometry Mice Honey
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ExpHBA Deep-IoT: Exponential Honey Badger Optimized Deep Learning For Breast Cancer Detection in IoT Healthcare System.

Journal of digital imaging Jul 25, 2023
Breast cancer (BC) is the most widely found disease among women in the world. The early detection of BC can frequently lessen the mortality rate as well as progress the probability of providing proper treatment. Hence, this paper focuses on devising ...
Breast Neoplasms Deep Learning Internet of Things Honey Delivery of Health Care Female Humans Algorithms
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CFHBA-PID Algorithm: Dual-Loop PID Balancing Robot Attitude Control Algorithm Based on Complementary Factor and Honey Badger Algorithm.

Sensors (Basel, Switzerland) Jun 14, 2022
The PID control algorithm for balancing robot attitude control suffers from the problem of difficult parameter tuning. Previous studies have proposed using metaheuristic algorithms to tune the PID parameters. However, traditional metaheuristic algori...
Computer Simulation Animals Honey Mustelidae Robotics Algorithms
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Deep learning assisted distinguishing of honey seasonal changes using quadruple voltammetric electrodes.

Talanta Jan 6, 2022
The work presents innovative quadruple disk iridium, platinum, and iridium-platinum voltammetric electrodes with a special design, dedicated to the testing of samples with a complex organic composition. Noble metal wires are tightened in one silver r...
Deep Learning Electronic Nose Electrodes Seasons Honey
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Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Food research international (Ottawa, Ont.) Oct 17, 2021
Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made from honey and "gesho" (Rhamnus prinoides). Till now, limited amount of information is available on the characterization of Tej. Thus, the aim of this ...
Honey Wine Antioxidants Microbiota Ethiopia
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Discrimination of Malaysian stingless bee honey from different entomological origins based on physicochemical properties and volatile compound profiles using chemometrics and machine learning.

Food chemistry Jan 15, 2021
Identification of honey origin based on specific chemical markers is important for honey authentication. This study is aimed to differentiate Malaysian stingless bee honey from different entomological origins (Heterotrigona bakeri, Geniotrigona thora...
Machine Learning Animals Phylogeny Honey Volatile Organic Compounds Least-Squares Analysis Bees Discriminant Analysis Cluster Analysis Principal Component Analysis
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Tualang honey versus steroid impregnated nasal dressing following endoscopic sinus surgery: a randomized controlled trial.

Journal of complementary & integrative medicine Dec 21, 2020
OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dressing is used postoperatively We aimed to compare the effect of Tualang honey impregnated nasal dres...
Double-Blind Method Honey Bandages Humans Steroids Paranasal Sinuses Prospective Studies Treatment Outcome Rhinitis Chronic Disease
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