- Advanced Numerical Analysis Techniques
- Advanced Measurement and Metrology Techniques
- Manufacturing Process and Optimization
- Ubiquitin and proteasome pathways
- 3D Shape Modeling and Analysis
- Orthodontics and Dentofacial Orthopedics
- 3D Surveying and Cultural Heritage
- Sensor Technology and Measurement Systems
- Cancer, Hypoxia, and Metabolism
- Computational Geometry and Mesh Generation
- Computer Graphics and Visualization Techniques
- Cleft Lip and Palate Research
- Advanced Surface Polishing Techniques
- Electromagnetic Simulation and Numerical Methods
- Energy Efficiency and Management
- Endoplasmic Reticulum Stress and Disease
- Epigenetics and DNA Methylation
- Brain Tumor Detection and Classification
- Genomics and Chromatin Dynamics
- Digital Transformation in Industry
- Autophagy in Disease and Therapy
- Augmented Reality Applications
- Dental Implant Techniques and Outcomes
- Advanced machining processes and optimization
- Advanced Sensor Technologies Research
University of Hull
2016-2024
Abertay University
2014
University of Cambridge
2011
University of Strathclyde
2011
University of Birmingham
2007
Gamesa (Spain)
2000-2003
Tianjin University
2002-2003
Recently, many Deep Learning models have been employed to classify different kinds of plant diseases, but very little work has done for disease severity detection. However, it is more important master the severities diseases accurately and timely, as helps make effective decisions protect plants from being further infected reduce financial loss. In this paper, based on Huanglongbing (HLB)-infected leaf images obtained PlantVillage crowdAI, we created a dataset with 5,406 citrus by HLB. Then...
Abstract Endoplasmic reticulum (ER) stress induces the unfolded protein response (UPR), and prolonged ER leads to cell apoptosis. Despite increasing research in this area, underlying molecular mechanisms remain unclear. Here, we discover that upregulates UPR signaling pathway while downregulating E2F target gene expression inhibiting G2/M phase transition. Prolonged decreases mRNA levels of E2F2, which specifically regulates F-Box Protein 5(FBXO5), an F-box functions as inhibitor...
Abstract Ovarian cancer (OV) poses a significant challenge in clinical settings due to its difficulty early diagnosis and treatment resistance. FOXP4, belonging the FOXP subfamily, plays pivotal role various biological processes including cancer, cell cycle regulation, embryonic development. However, specific importance of FOXP4 OV have remained unclear. Our research showed that is highly expressed tissues, with elevated levels correlating poor prognosis. We further explored FOXP4’s function...
Cephalometric analysis is used to evaluate facial growth, study the anatomical relationships within face. assessment based on 2D radiographic images, either sagittal or coronal planes and an inherently inaccurate methodology. The wide availability of 3D imaging techniques, such as computed tomography magnetic resonance make routine morphology feasible. cephalometry may not only provide a more accurate quantification craniofacial longitudinal but also differentiation subtle changes in...
Abstract SEMA6A is a multifunctional transmembrane semaphorin protein that participates in various cellular processes, including axon guidance, cell migration, and cancer progression. However, the role of clear renal carcinoma (ccRCC) unclear. Based on high-throughput sequencing data, here we report novel target gene VHL - HIF 2α axis overexpressed ccRCC. Chromatin immunoprecipitation reporter assays revealed HIF-2α directly activated transcription hypoxic ccRCC cells. Wnt /β-catenin pathway...
IntroductionMitochondrial fission process 1 (MTFP1) is an inner mitochondrial membrane (IMM) protein implicated in the development and progression of various tumors, particularly lung squamous cell carcinoma (LUSC). This study aims to provide a more theoretical basis for treatment LUSC.MethodsThrough bioinformatics analysis, MTFP1 was identified as novel target gene HIF1A. expression LUSC examined using The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Proteomics Data Commons...
To evaluate an automated software tool for the assessment of dental arch relationships using modified Huddart and Bodenham (MHB) index. Cohort 43 models subjects aged 9–21 with UCLP ten GOSLON reference sets. The 53 sets plaster were scored MHB index scanned a benchtop scanner. digital visually commercial program landmarked automatic scoring plug-in. Scoring/landmarking was undertaken by three observers repeated after 1 month. Intra- inter-observer reproducibility tested Cronbach's alpha...
The modified Huddart and Bodenham scoring system assesses maxillary arch constriction surgical outcomes in cleft lip palate. This project automates using three-dimensional digital models.Development of a novel software tool.The design, construction, development, testing the was carried out at Dundee Dental Hospital.Subjects with palate.A plug-in has been developed an open development platform: Rhinoceros, version 5 ( http://www.rhino3d.co.uk ). Users select cusps on mandibular teeth models....
Non-uniform rational B-spline (NURBS) surface fitting from data points is wildly used in the fields of computer aided design (CAD), medical imaging, cultural relic representation and object-shape detection. Usually, measured acquired coordinate measuring systems neither gridded nor completely scattered. The distribution this kind scattered physical space, but are stored a way consistent with order measurement, so it named quasi paper. Therefore they can be organized into rows easily number...
Mild cognitive impairment (MCI) has been described as the intermediary stage before Alzheimer's Disease - many people however remain stable or even demonstrate improvement in cognition. Early detection of progressive MCI (pMCI) therefore can be utilised identifying at-risk individuals and directing additional medical treatment order to revert conversion AD well provide psychosocial support for person their family. This paper presents a novel solution early pMCI classification risk within...
With the development of modern manufacturing industry, free-form surface is widely used in various fields, and automatic detection a an important function future intelligent three-coordinate measuring machines (CMMs). To improve intelligence CMMs, new visual system designed based on characteristics CMMs. A unified model proposed T-splines. discretization method T-spline formula proposed. Under this discretization, position orientation workpiece would be recognized by point cloud...
Abstract Digital Twin (DT) technology has seen an explosion in popularity, with wind energy no exception. This is particularly true for Operations & Maintenance (O&M) applications. However, this expanded use been accompanied by loose, conflicting, definitions that threaten to reduce the term a buzzword and prevent from meeting its full potential. A number of attempts have made better define classify DTs, however, these either oversimplify or tighten criteria, leading exclusion many...
Abstract This paper introduces a novel approach for training generative adversarial networks using federated machine learning. Generative have gained plenty of attention in the research community especially with their abilities to produce high quality synthetic data variety use-cases. Yet, when combined learning, those models suffer from degradation both time and results. To address this challenge, that uses hierarchical learning techniques enable efficient GAN models. The proposed an...