All Outputs (633)

Complete mitochondrial DNA sequence of the parasitic honey bee mite Varroa destructor (Mesostigmata : Varroidae) (2020)
Journal Article
Harada, R., Yoshioka, M., Okuyama, H., Kato, M., Martin, S., & Takahashi, J. (2020). Complete mitochondrial DNA sequence of the parasitic honey bee mite Varroa destructor (Mesostigmata : Varroidae). Mitochondrial DNA Part B, 5(1), 635-636. https://doi.org/10.1080/23802359.2019.1711219

Varroa destructor is a parasite mite of the eastern honey bee Apis cerana, which is native to Asia. The European honey bee Apis mellifera was imported to Asia from Europe and the USA for apiculture in the 19th century. In a short period of time, V. d... Read More about Complete mitochondrial DNA sequence of the parasitic honey bee mite Varroa destructor (Mesostigmata : Varroidae).

Matthew's Lane, Manchester (2020)
Data

Photos and report from archaeological investigation

Oldfield Road (2020)
Data

Photos and report for archaeological evaluation

City Tower (2020)
Data

Photos and report for building survey and evaluation

Collyhurst Community Excavation (2020)
Data

Report and photos from archaeological excavation

Exchange Court, Greengate (2020)
Data

Photos and report from archaeological evaluation

Diet choice in a generalist predator, the invasive lionfish (Pterois volitans/miles) (2020)
Journal Article
Ritger, A. L., Fountain, C. T., Bourne, K., Martín-Fernández, J. A., & Pierotti, M. E. (2020). Diet choice in a generalist predator, the invasive lionfish (Pterois volitans/miles). Journal of Experimental Marine Biology and Ecology, 524, https://doi.org/10.1016/j.jembe.2020.151311

Diet choice in marine species is typically derived from indirect methods such as stomach contents and stable isotope analysis, while choice experiments in controlled laboratory settings are used to infer foraging decisions in the wild. However, these... Read More about Diet choice in a generalist predator, the invasive lionfish (Pterois volitans/miles).

Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems (2020)
Journal Article
Rustum, R., Kurichiyanil, A., Forrest, S., Sommariva, C., Adeloye, A., Zounemat-Kermani, M., & Scholz, M. (2020). Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems. Sustainability, 12(2), e631. https://doi.org/10.3390/su12020631

As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination... Read More about Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems.

Transcriptomic profiling disclosed the role of DNA methylation and histone modifications in tumor-infiltrating myeloid-derived suppressor cell subsets in colorectal cancer (2020)
Journal Article

Increased numbers of myeloid-derived suppressor cells (MDSCs) are positively correlated with poor prognosis and reduced survivals of cancer patients. They play central roles in tumor immune evasion and tumor metastasis. However, limited data are avai... Read More about Transcriptomic profiling disclosed the role of DNA methylation and histone modifications in tumor-infiltrating myeloid-derived suppressor cell subsets in colorectal cancer.

Perspective distortion modeling for image measurements (2020)
Journal Article
Bousaid, A., Theodoridis, T., Nefti-Meziani, S., & Davis, S. (2020). Perspective distortion modeling for image measurements. IEEE Access, 8, 15322-15331. https://doi.org/10.1109/ACCESS.2020.2966716

A perspective distortion modelling for monocular view that is based on the fundamentals of perspective projection is presented in this work. Perspective projection is considered to be the most ideal and realistic model among others, which depicts ima... Read More about Perspective distortion modeling for image measurements.

Using probe electrospray ionization mass spectrometry and machine learning for detecting pancreatic cancer with high performance (2020)
Journal Article
Chung, W., Correa, E., Yoshimura, K., Chang, M., Dennison, A., Takeda, S., & Chang, Y. (2020). Using probe electrospray ionization mass spectrometry and machine learning for detecting pancreatic cancer with high performance. American Journal of Translational Research, 12(1), 171-179

A rapid blood-based diagnostic modality to detect pancreatic ductal adenocarcinoma (PDAC) with high accuracy is an unmet medical need. The study aimed to validate a unique diagnosis system using Probe Electrospray Ionization Mass Spectrometry (PESI-M... Read More about Using probe electrospray ionization mass spectrometry and machine learning for detecting pancreatic cancer with high performance.

Lower Falinge, Rochdale (2020)
Data

Desk based assessment, Evaluation report and site records for an archaeological investigation

G Park, Stoke (2020)
Data

Site records, photos and report from archaeological evaluation

Assessing the potential of environmental DNA metabarcoding for monitoring Neotropical mammals : a case study in the Amazon and Atlantic Forest, Brazil (2020)
Journal Article

The application of environmental DNA (eDNA) metabarcoding as a biomonitoring tool has greatly increased in the last decade. However, most studies have focused on aquatic macro-organisms in temperate areas (e.g., fishes). We apply eDNA metabarcoding t... Read More about Assessing the potential of environmental DNA metabarcoding for monitoring Neotropical mammals : a case study in the Amazon and Atlantic Forest, Brazil.

thermogram Breast Cancer Detection : a comparative study of two machine learning techniques (2020)
Journal Article
AlFayez, F., El-Soud, M., & Gaber, T. (2020). thermogram Breast Cancer Detection : a comparative study of two machine learning techniques. Applied Sciences, 10(2), e551. https://doi.org/10.3390/app10020551

Breast cancer is considered one of the major threats for women’s health all over the world. The World Health Organization (WHO) has reported that 1 in every 12 women could be subject to a breast abnormality during her lifetime. To increase survival r... Read More about thermogram Breast Cancer Detection : a comparative study of two machine learning techniques.

Numerical investigation into the stability of earth dam slopes considering the effects of cavities (2020)
Journal Article
Al-ateya, H., & Ahangar Asr, A. (2020). Numerical investigation into the stability of earth dam slopes considering the effects of cavities. Engineering Computations, 37(4), 1397-1421. https://doi.org/10.1108/EC-03-2019-0101

This research is an attempt to estimate the influence of the presence of cavities on the stability of slopes in earth
dams under rapid drawdown conditions. The aim of the investigation is to study the influence of different
factors, such as the dia... Read More about Numerical investigation into the stability of earth dam slopes considering the effects of cavities.

Large-scale and significant expression from pseudogenes in Sodalis glossinidius – a facultative bacterial endosymbiont (2020)
Journal Article

The majority of bacterial genomes have high coding efficiencies, but there are some genomes of intracellular bacteria that have low gene density. The genome of the endosymbiont Sodalis glossinidius contains almost 50 % pseudogenes containing mutation... Read More about Large-scale and significant expression from pseudogenes in Sodalis glossinidius – a facultative bacterial endosymbiont.

Fast speech intelligibility estimation using a neural network trained via distillation (2020)
Presentation / Conference
Cox, T., Bailey, W., & Tang, Y. (2020, January). Fast speech intelligibility estimation using a neural network trained via distillation. Poster presented at 12th Speech in Noise Workshop, Toulouse, France

Objective measures of speech intelligibility have many uses, including the evaluation of degradation during transmission and the development of processing algorithms. One intrusive approach is to use a method based on the audibility of speech glimpse... Read More about Fast speech intelligibility estimation using a neural network trained via distillation.

Black Horse (2020)
Data

Photos, site records and report for the archaeological excavation and building survey

Laboratory and simulation results of static and dynamic pothole repairs (2020)
Data

The attached files show that raw data taken in the laboratory and the simulation results from the three simulation models discussed in my paper "Thermal analysis of hot mix asphalt pothole repair by finite element method".