The production and deployment of an on-line video learning bank in a skills training environment

This paper describes the introduction of videos as aids in clinical skills teaching. Although the process explored focuses on a nursing clinical skills environment it is relevant to many other disciplines. With the introduction of the pre-registration degree in nursing in Ireland in 2002, the formerly hospital-based schools of nursing amalgamated into larger programmes with their affiliated higher education institutes (HEIs). The result was a considerable increase in class sizes. The current average annual cohort in the School of Nursing, Dublin City University (DCU) is 240 students. This has resulted in a need to review the way we teach clinical skills on campus. These skills form a large part of the programme and are taught to students in the school-based simulated nursing environment to prepare them for their practical experience in the clinical environment. Until 2006 the skills had been taught to groups of 25-30 students using a demonstration and practice technique. This teaching method has posed a number of problems: •Learning experiences vary depending on the mix of demonstration and practice in each session. •It can be difficult for students to absorb all of the information presented in a single demonstration. •It is highly resource intensive. It was decided that video technology incorporating a large scale deployment of skills videos over a video web server, in conjunction with a shift in emphasis in the teaching contact sessions could offer a useful tool to aid the teaching process. This paper will discuss the production process, the implementation of the project in the teaching environment and the evaluation findings

Micro-Manipulation Using Learned Model

Microscale devices can be found in applications ranging from sensors to structural components. The dominance of surface forces at the microscale hinders the assembly processes through nonlinear interactions that are difficult to model for automation, limiting designs of microsystems to primarily monolithic structures. Methods for modeling surface forces must be presented for viable manufacturing of devices consisting of multiple microparts. This paper proposes the implementation of supervised machine learning models to aid in automated micromanipulation tasks for advanced manufacturing applications. The developed models use sets of training data to implicitly model surface interactions and predict end-effector placement and paths that will yield a desired part trajectory. Conclusions and recommendations are based on evaluations of a collection of machine learning models and the effects of training data size and hyperparameter tuning on a collection of error metrics

Quality-Based Thermokinetic Optimization of Ready-to-Eat Whole Edible Crab (Cancer pagurus) Pasteurisation Treatments

Traditional processing practices used in the manufacture of ready-to-eat edible crab products include a double-heat treatment involving an initial cooking step followed by washing and packaging and finally, a second heat pasteurisation. The latter, pasteurisation step, results in the most severe impact on product quality. The main objective of this research was to optimise this pasteurisation step using quality index degradation kinetic approach. Preliminary work involved the characterisation of temperature rise in the crab cold-spot during pasteurisation. Equivalent treatments (F90°C 10°C = 10 min) were defined in order to assess the impact of pasteurisation temperature on different crab quality indexes in both crab meat types, white and brown. Colour degradation of crab white meat was defined as the critical quality parameter to be monitored during thermal pasteurisation. The effect of time and temperature on the kinetics of white meat colour change (¿E*) were characterised and fitted to an exponential equation. Following this, an industry focus group was used to define white meat colour change vs product quality and defined ‘good’ (¿E* = 7), ‘acceptable’ (7 < ¿E* < 9) and ‘unacceptable’ (¿E* = 9) quality. Finally, using the developed equations, optimal pasteurisation conditions were defined and validated. To produce ‘good’ quality crab, optimal temperatures ranged between 96 and 100 °C while temperatures between 104 and 108 °C produced ‘acceptable’ quality in crabs of 400 and 800 g, respectively. Overall, the results show that the equations obtained could be used in a decision support system (DSS) to define heat pasteurisation conditions to optimise the quality of ready-to-eat edible crab

The production and deployment of an on-line video learning bank in a skills training environment

Context and Background: Nursing students are taught many skills to prepare them for their practical experience in the clinical environment. To date these skills have been taught to students using a demonstration and practice technique. This teaching method has a number of disadvantages: - it is highly resource intensive - learning experiences vary depending on the mix of demonstration and practice in each session - it can be difficult for students to absorb all of the information presented in a single demonstration. It was decided that video technology incorporating the deployment of a skills video bank over a web server, in conjunction with a shift in emphasis in the teaching contact sessions could provide a useful tool to aid the teaching process. Aim of the paper The aim of the paper is to disseminate our experiences of producing a large scale audiovisual learning package. The Production Process The first step involved the production of a video demonstrating a particular clinical skill, aseptic technique. This replaced the demonstration element of the skills session. Students viewed it online before the skills session and then spent the time allotted to this skill practising it under supervision. It was evaluated positively by students and the lecturer involved. As a result, a bank of 17 more videos focussing on fundamental skills within one first year module was developed in-house. The main focus of this paper will be on the production processes involved in this and its introduction into teaching practice

Raman Spectroscopic Analysis of Saliva for the Diagnosis of Oral Cancer: a Systematic Review

Abstract Oral squamous cell carcinoma (OSCC) is one of the most common malignancies worldwide, and new protocols for routine and early detection are required. Raman spectroscopy is an optical based method that can provide sensitive and non-invasive real time detailed information on the biochemical content of a sample like saliva, through the unique vibrations of its constituent molecules and this is sensitive to changes associated with disease. A comprehensive systematic review of the available scientific literature related to Raman spectroscopy of human saliva for diagnosis of OSCC was performed. The 785 nm laser line was most applied wavelength along with principal components analysis associated with linear discriminant analysis. The main salivary components possibly associated with the presence of OSCC were proteins and lipids. Measurement in the liquid physical state, and with no addition of nanoparticles for signal enhancement, seemed to best conserve the salivary integrity. However, in terms of sampling protocols, no differentiation was generally made between stimulated and non-stimulated saliva. Raman spectroscopy of saliva holds a promising future for clinical applications such as early detection of OSCC. However, more systematic analyses are still required for a better elucidation regarding sampling procedure, storage and degradation

A Study of Hormonal Effects in Cervical Smear Samples Using Raman Spectroscopy

Raman spectroscopy is a powerful tool that has the potential to be used as a screening method for cervical cancer. It is a label-free, low-cost method providing a biochemical fingerprint of a given sample. The objective of this study was to address patient-to-patient variability contributed by hormonal effects due to the menstrual cycle, the use of hormone-based contraceptives (HC) and the onset of menopause, and to determine if these changes would affect the ability to successfully identify dyskaryotic cells. Raman spectra were recorded from unstained ThinPrep cervical samples (45 cytology negative and 15 high-grade dyskaryosis (high-grade squamous intraepithelial lesion, HSIL) samples using a HORIBA Jobin Yvon XploRA system. HPV DNA testing was also performed. Clinical data collected included date of the last menstrual period, the use of HC and/or menopausal status. Spectral changes were observed depending on the day of the menstrual cycle and on the use of HC. Despite this, HSIL could be discriminated from normal cells regardless of the day on which the sample was taken or the use of HC

Improved Removal of Blood Contamination From ThinPrep Cervical Cytology Camples for Raman Spectroscopic Analysis

There is an unmet need for methods to help in the early detection of cervical precancer. Optical spectroscopy-based techniques, such as Raman spectroscopy, have shown great potential for diagnosis of different cancers, including cervical cancer. However, relatively few studies have been carried out on liquid-based cytology (LBC) pap test specimens and confounding factors, such as blood contamination, have been identified. Previous work reported a method to remove blood contamination before Raman spectroscopy by pretreatment of the slides with hydrogen peroxide. The aim of the present study was to extend this work to excessively bloody samples to see if these could be rendered suitable for Raman spectroscopy. LBC ThinPrep specimens were treated by adding hydrogen peroxide directly to the vial before slide preparation. Good quality Raman spectra were recorded from negative and high grade (HG) cytology samples with no blood contamination and with heavy blood contamination. Good classification between negative and HG cytology could be achieved for samples with no blood contamination (sensitivity 92%, specificity 93%) and heavy blood contamination (sensitivity 89%, specificity 88%) with poorer classification when samples were combined (sensitivity 82%, specificity 87%). This study demonstrates for the first time the improved potential of Raman spectroscopy for analysis of ThinPrep specimens regardless of blood contamination

Raman Spectral Signatures of Cervical Exfoliated Cells from Liquid-Based Cytology Samples

It is widely accepted that cervical screening has significantly reduced the incidence of cervical cancer worldwide. The primary screening test for cervical cancer is the Papanicolaou (Pap) test, which has extremely variable specificity and sensitivity. There is an unmet clinical need for methods to aid clinicians in the early detection of cervical precancer. Raman spectroscopy is a label-free objective method that can provide a biochemical fingerprint of a given sample. Compared with studies on infrared spectroscopy, relatively few Raman spectroscopy studies have been carried out to date on cervical cytology. The aim of this study was to define the Raman spectral signatures of cervical exfoliated cells present in liquid-based cytology Pap test specimens and to compare the signature of high-grade dysplastic cells to each of the normal cell types. Raman spectra were recorded from single exfoliated cells and subjected to multivariate statistical analysis. The study demonstrated that Raman spectroscopy can identify biochemical signatures associated with the most common cell types seen in liquid-based cytology samples; superficial, intermediate, and parabasal cells. In addition, biochemical changes associated with high-grade dysplasia could be identified suggesting that Raman spectroscopy could be used to aid current cervical screening tests

Altered mitochondrial function and genome frequency post exposure to γ-radiation and bystander factors

PURPOSE: To further evaluate irregular mitochondrial function and mitochondrial genome damage induced by direct γ-irradiation and bystander factors in human keratinocyte (HPV-G) epithelial cells and hamster ovarian fibroblast (CHO-K1) cells. This is as a follow-up to our recent reports of γ-irradiation-induced loss of mitochondrial function and mitochondrial DNA (mtDNA) damage

Raman Spectroscopy of Liquid-Based Cervical Smear Samples as a Triage to Stratify Women Who Are HPV-Positive on Screening

Persistent high-risk human papillomavirus (HPV) infection can lead to cervical precancer and cancer. Recently, HPV testing has been introduced for primary cervical screening, but the HPV DNA test cannot distinguish between transient and persistent HPV infection. Thus, there is an unmet clinical need to develop a new test to identify women with a high-risk persistent HPV infection. Raman spectra were recorded from cervical smear samples (n = 60) and, on the basis of HPV DNA and HPV mRNA test results, a classifier was developed to identify persistent HPV infection. A further blinded independent test set (n = 14) was used to validate the model, and sensitivity of 90% and specificity of 100% were achieved. Improved triage would allow women with a high-risk persistent HPV infection to be referred for immediate treatment, while women with a low-risk transient infection could avoid overtreatment