Mohammad Alothman

ORCID: 0000-0002-3063-603X
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About
Contact & Profiles
Research Areas
  • Antioxidant Activity and Oxidative Stress
  • Phytochemicals and Antioxidant Activities
  • Meat and Animal Product Quality
  • Sensory Analysis and Statistical Methods
  • Motor Control and Adaptation
  • Microbial Inactivation Methods
  • EEG and Brain-Computer Interfaces
  • Advanced Chemical Sensor Technologies
  • Probiotics and Fermented Foods
  • Muscle activation and electromyography studies
  • Postharvest Quality and Shelf Life Management
  • GABA and Rice Research
  • Radiation Effects and Dosimetry
  • Protein Hydrolysis and Bioactive Peptides
  • Blood disorders and treatments
  • Hyperglycemia and glycemic control in critically ill and hospitalized patients
  • Milk Quality and Mastitis in Dairy Cows
  • Neuroblastoma Research and Treatments
  • Essential Oils and Antimicrobial Activity
  • Food Industry and Aquatic Biology
  • Listeria monocytogenes in Food Safety
  • Plant Genetic and Mutation Studies
  • Animal Diversity and Health Studies
  • Dye analysis and toxicity
  • Freezing and Crystallization Processes

University of Otago
2014-2023

Jordan University of Science and Technology
2020-2021

Teagasc - The Irish Agriculture and Food Development Authority
2019

King Saud University
2018

Universiti Sains Malaysia
2008-2010

10.1016/j.ifset.2009.03.004 article EN Innovative Food Science & Emerging Technologies 2009-03-23

The inputs to the outputs of nonlinear systems can be modeled using machine and deep learning approaches, among which artificial neural networks (ANNs) are a promising option. However, noisy signals affect ANN modeling negatively; hence, it is important investigate these prior modeling. Herein, two customized simple visual inspection absolute correlation, proposed examine relationship between system. system under consideration uses biosignals from surface electromyography as human finger...

10.1016/j.heliyon.2020.e03669 article EN cc-by-nc-nd Heliyon 2020-04-01

Surface Electromyography (sEMG) plays a key role in many applications such as control of Human-Machine Interfaces (HMI) and neuromusculoskeletal modeling. It has strongly nonlinear relations to joint kinematics reflects the subjects' intention moving their limbs. Such have been traditionally examined by either integrated biomechanics multi-body dynamics or gesture-based classification approaches. However, these methods drawbacks that limit usability. Different from them, can be continuously...

10.1016/j.dcan.2021.08.002 article EN cc-by-nc-nd Digital Communications and Networks 2021-08-13

The consumer rejection threshold (RjT) method was applied to determine the total microbial numbers (TMNs) where consumers find that quality of whole fresh chilled pasteurised milk (WFCPM) and skim (Trim) stored at 4.5 ± 0.5 °C is no longer acceptable. Food spoilage progression supported by measurements VOCs terms used describe ageing (FCPM). RjTs for TMN 7.43 7.34 log10 CFU.mL−1 WFCPM Trim, respectively were derived using Hill’s equation from a series paired preference tests comparing aged...

10.3390/beverages9020053 article EN cc-by Beverages 2023-06-19
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