A5083155149- Bee Products Chemical Analysis
- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- Tendon Structure and Treatment
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Reinforcement Learning in Robotics
- Essential Oils and Antimicrobial Activity
- Collagen: Extraction and Characterization
- Viral Infectious Diseases and Gene Expression in Insects
- Laser Applications in Dentistry and Medicine
- Cellular Mechanics and Interactions
- Hormonal and reproductive studies
- Insect and Pesticide Research
- Exercise and Physiological Responses
Michigan United
2024
University of Toledo
2024
Michigan Medicine
2024
University of Auckland
2019-2022
Victoria University of Wellington
2016-2017
Guy's and St Thomas' NHS Foundation Trust
2001
St Thomas' Hospital
2001
Abstract This paper develops a new approach to fraud detection in honey. Specifically, we examine adulterating honey with sugar and use hyperspectral imaging machine learning techniques detect adulteration. The main contributions of this are introducing feature smoothing technique conform the classification model used adulterated samples perpetration an data set using imaging, which has been made available online for first time. Above $$95\%$$ <mml:math...
Autoencoders have shown to be very useful when applied preprocessing, and pretraining for neural networks. They also been feature extraction, data compression although they are not widely used in these applications. For a common problem with autoencoders is that learn features can reconstruct the data. However, necessarily sufficient it comes classifying Recently adapted use semi supervised tasks by introducing new layer as classification output during training process. This structure aims...
In human written computer programs, loops and recursion are very important structures. Many real-world applications require loops. Loops can also be achieved by using genetic programming (GP). There has been a lot of work on GP for but not much recursion. Our recent initial shown that used to solve problems, based which this develops two new methods wider range problems without decreasing the performance. The tested symbolic regression binary classification Artificial Ant problems. They...
Loops and recursions are important structures in human written computer programs. While various loops have been successfully evolved with genetic programming (GP), automatic generation of programs has not achieved. To fill this gap, paper develops three new methods at different levels generality to evolve recursive using GP. These examined compared two GP a standard method on mathematic/symbolic regression problems including repeating characteristics artificial Ant problems. The results show...
Honey fraud and adulteration are an increasing concern globally. Hyperspectral imaging machine learning can detect adulterated honey within a known set of honey, where we have captured data at different sugar concentrations. Previous work in this area has used minimal number types, as sample preparation capture is time-consuming process. This paper develops new approach using variational autoencoders (VAEs) for generating unseen types. The results show that the binary detector achieve on...
Tendons are essential for transmitting skeletal muscle loads to bone yet tendons unable regenerate following load-induced injury. 1–3 A major challenge in regenerating lies their low cell number, poor vascularization, and extracellular matrix (ECM) dense environment. The primary cells fibroblasts (TFs) which form organize the nascent collagen-rich ECM necessary mechanical function mechanotransduction. Eventually, TFs become embedded this with limited access nutrients, where these also...
Many transgender youth seek gender affirming care, such as puberty suppression, to prolong decision-making and align their physical sex characteristics with identity. During peripubertal growth, connective tissues tendon rapidly adapt applied mechanical loads (e.g., exercise) yet if how adaptation is influenced by hormone therapy during growth remains unknown. The goal of this study was understand the pubertal suppression influences structural functional properties Achilles using an...
Tendinopathy is a disorder that affects ~3.5 million people in the US 1 and caused by poor self-repair of tendon. characterized degenerative extracellular matrix (ECM), increased cell density, biomechanical function. 2 AMP-activated protein kinase (AMPK), an energy stress sensor, potential regulator ECM remodeling musculoskeletal tissues. 3,4 Aging connective tissues (e.g., skeletal muscle) has exhibited reduced sensitivity to AMPK activation impaired glucose sensitivity. 5 Furthermore,...