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The quality improvement in colonoscopy study was a region wide service improvement study to improve adenoma detection rate at colonoscopy by implementing evidence into routine colonoscopy practice. Implementing evidence into clinical practice can be challenging. The purpose of this paper is to perform a qualitative interview study to evaluate factors that influenced implementation within the study.

Semi-structured interviews were conducted with staff in endoscopy units taking part in the quality improvement in colonoscopy study, after study completion. Units and interviewees were purposefully sampled to ensure a range of experiences was represented. Interviews were conducted with 11 participants.

Key themes influencing uptake of the quality improvement in colonoscopy evidence bundle included time, study promotion, training, engagement, positive outcomes and modifications. Areas within themes were increased awareness of quality in colonoscopy (QIC), emphasis on withdrawal time and empowerment of endoscopy nurses to encourage the use of quality measures were positive outcomes of the study. The simple, visible study posters were reported as useful in aiding study promotion. Feedback sessions improved engagement. Challenges included difficulty arranging set-up meetings and engaging certain speciality groups.

This evaluation suggests that methods to implement evidence into clinical practice should include identification and empowerment of team members who can positively influence engagement, simple, visible reminders and feedback. Emphasis on timing of meetings and strategies to engage speciality groups should also be given consideration. Qualitative evaluations can provide important insights into why quality improvement initiatives are successful or not, across different sites.

Misinterpretation of a negative test results in health screening may initiate less preventive effort and more future lifestyle-related disease. We predict that misinterpretation occurs more frequently among individuals with a low level of education compared with individuals with a high level of education.

The empirical analyses are based on unique data from a randomized controlled screening experiment in Norway, NORCCAP (NORwegian Colorectal Cancer Prevention). The dataset consists of approximately 50,000 individuals, of whom 21,000 were invited to participate in a once only screening with sigmoidoscopy. For all individuals, we also have information on outpatient consultations and inpatient stays and education. The result of health behaviour is mainly measured by lifestyle-related diseases, such as COPD, hypertension and diabetes type 2, identified by ICD-10 codes.

The results according to intention-to-treat indicate that screening does not increase the occurrence of lifestyle related diseases among individuals with a high level of education, while there is an increase for individuals with low levels of education. These results are supported by the further analyses among individuals with a negative screening test.

Artificial Intelligence (AI) is one of the newest technology that is quickly advancing and can be utilised to improve human resource competence in the age of rapid digital transformation. The present competitive scenario demands accurate data that need to be collected and analysed for organisational growth.

Purpose: The research examines the applications and usage of AI in performance management and further analyses the future of PM from the perspectives of AI.

Methodology: The study is conceptual and relies on secondary data from research papers, publications, HR blogs, survey reports and other sources. Employee performance and attitudes were monitored using digital technologies, big data analytics and AI. The quality of employee performance continues to increase with the integration of AI, enabling predictive analytics to increase employee performance.

Research Implication: In employee performance appraisal, a digital performance management system leads to openness and honesty with time, effort and sincerity. It is based on the performance management system’s practical usefulness.

Theoretical Implication: The study’s findings provide HR managers, academics, IT professionals and practitioners with an understanding of how AI may be used for performance management and its consequences on their operations. In addition, the connection between the HR devolution theory on performance management and AI is discussed.

Hundreds of thousands of deaths each year in the world are caused by breast cancer (BC). An early-stage diagnosis of this disease can positively reduce the morbidity and mortality rate by helping to select the most appropriate treatment options, especially by using histological BC images for the diagnosis.

The present study proposes and evaluates a novel approach which consists of 24 deep hybrid heterogenous ensembles that combine the strength of seven deep learning techniques (DenseNet 201, Inception V3, VGG16, VGG19, Inception-ResNet-V3, MobileNet V2 and ResNet 50) for feature extraction and four well-known classifiers (multi-layer perceptron, support vector machines, K-nearest neighbors and decision tree) by means of hard and weighted voting combination methods for histological classification of BC medical image. Furthermore, the best deep hybrid heterogenous ensembles were compared to the deep stacked ensembles to determine the best strategy to design the deep ensemble methods. The empirical evaluations used four classification performance criteria (accuracy, sensitivity, precision and F1-score), fivefold cross-validation, Scott–Knott (SK) statistical test and Borda count voting method. All empirical evaluations were assessed using four performance measures, including accuracy, precision, recall and F1-score, and were over the histological BreakHis public dataset with four magnification factors (40×, 100×, 200× and 400×). SK statistical test and Borda count were also used to cluster the designed techniques and rank the techniques belonging to the best SK cluster, respectively.

Results showed that the deep hybrid heterogenous ensembles outperformed both their singles and the deep stacked ensembles and reached the accuracy values of 96.3, 95.6, 96.3 and 94 per cent across the four magnification factors 40×, 100×, 200× and 400×, respectively.

The proposed deep hybrid heterogenous ensembles can be applied for the BC diagnosis to assist pathologists in reducing the missed diagnoses and proposing adequate treatments for the patients.

To enhance the detection efficiency of printed circuit board (PCB) soldered dot, this study aims to detect PCB soldered dot with image processing method.

Through a series of image processing algorithms, threshold segmentation and feature extraction of the solder joint images were completed; then, sphericity was confirmed based on the area and perimeter, as well as the shape parameter and eccentricity ratio of the calculated region, paving the way for defect pattern recognition.

It proves that the method with high efficiency and precision can satisfy the requirements of PCB soldered dot detection.

This paper is original in presenting a method for PCB welding spot detection.

The purpose of this paper is to explore environmental contamination from pesticide use in a Khao Kho Sub-district, Khao Kho District in Phetchabun Province, Thailand.

The study area was made up of four villages: Kanok Ngam, Lao Lue, Lao Neng and Phet Dam, all mostly highland areas whose inhabitants are mainly from the hill tribes. The 548 participants were recruited with inclusion criteria being that they must be living in the area over one year and are agriculturists or relevant who use pesticides. The data collection was divided into two parts: first, population data using a questionnaire; and second, samples of environmental media including agricultural products gathered to analyze the contamination of pesticides. The data were analyzed using descriptive statistics.

The most planted crop was rice (53.52 percent). Regarding agricultural chemical uses, the study found that the majority of participants used herbicides (76.83 percent). In terms of herbicide uses, Glyphosate is the most used (39.59 percent). Furthermore, insecticide consumption uses were higher in Phet Dam village than the other villages. The most common uses were Carbaryl (20.66 percent), followed by β-Betoefluthrin (15.49 percent).

There were glyphosate and derivatives of glyphosate (Aminomethyl Phosphonic Acid) in soil and sediment samples, while herbicides and insecticides were not found in water and agricultural samples. Because these environmental contaminants are a major cause for health problems amongst producers and consumers alike, agriculturists should be supported by relevant organizations to increase organic crop cultivation methods and organic farming networks.

This paper provides an overview on the links among diet, obesity and cancer prevention. It also highlights a study which confirms that following specific diet and health recommendations can help prevent cancer.

Literature searches were conducted to find the most up‐to‐date and relevant literature on diet, obesity and cancer to be included in this paper.

The World Cancer Report predicts that worldwide new cases of cancer will increase by 50 per cent by 2020 and will present a huge challenge for health and cancer support services. However, it is estimated that eating healthily, staying physically active and maintaining a healthy body weight could reduce cancer risk by 30–40 per cent. Evidence suggests that a plant‐based diet including fibre rich foods and a wide range of vitamins and minerals may offer cancer protection, while obesity and low levels of physical activity may increase cancer risk. In 1997 World Cancer Research Fund (WCRF) and the American Institute of Cancer Research (AICR) produced a pioneering international report: Food Nutrition and the Prevention of Cancer: A Global Perspective. The report drew attention to several links between diet and cancer prevention, and made diet and health recommendations to guide health policy and help reduce cancer risk. Adhering to these guidelines has now been shown to predict risk of and mortality from cancer. WCRF/AICR are compiling a second report which will systematically review published research on food, nutrition (including obesity), physical activity and cancer prevention. Also included will be the new and emerging area of nutrition and lifestyle factors for cancer survivors.

Information is presented to give non‐experts a general, up‐to‐date overview on the links between diet, obesity and cancer prevention.

Aims to review institutional change in health care and to look for opportunities in what the author sees as a coming crisis.

A consultant on health‐care systems reviews the forces driving transformation in medicine, including new technologies, telemedicine, and prevention.

Finds forces driving transformation in medicine limited in addressing the crisis of spiraling cost and mediocre, overly complex treatment.

Concludes that a dramatic shift in perspective is coming as baby boomers are forced to face the inevitability of death in positive terms.

In examining the effects of the Exxon Valdez oil spillage on corporate social reporting (CSR) in the annual reports of oil companies, Patten suggested examining companies in other industries and their response to social (e.g. environmental) threats. This paper examines environmental and social reporting in five companies representing three FTSE sectors, selected according to an intuitive understanding of society’s perceptions of their depth of “sin” or supposed unethical behaviour. Social disclosure data were captured from annual corporate reports between 1975 and 1997. Results suggest that legitimacy theory may be an explanation of disclosure in some cases but not in others. The distorting effects of perception (of legitimacy‐threatening factors) and the increase in choices of disclosure media partly explain the mixed results and these factors and it is suggested, challenge the usefulness of future “annual‐report only” studies.