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Sleep disturbance is a common difficulty in the general population. It has become particularly prevalent in the context of disruption to routine brought about by the COVID-19 pandemic. The purpose of this study was to trial a patient-guided “sleep workbook” intervention, which was developed by multidisciplinary team members, combining principles of sleep hygiene education and cognitive behavioural therapy for insomnia behavioural strategies, and to evaluate its efficacy in a mixed-methods study.

Service users of the community mental health service were invited to participate. A total of 30 service users agreed to participate. A total of 15 participants completed both the intervention and the mixed-methods survey. Four participated in the focus group. Descriptive and inferential statistics were performed on the collected quantitative data. A thematic analysis was carried out of qualitative survey responses and focus group discourse.

There was a statistically and clinically significant improvement in quantity and quality of sleep following intervention. Mean hours of sleep prior to the intervention was 4.4 hours [standard deviation (SD) = 2.2], compared to 6.1 hours (SD = 2.2) afterwards (p = 0.003). Quality of sleep improved from a mean of 2.5 (SD = 2.1) to 6.1 (SD = 2.3) following the intervention (p = <0.001). Four themes were developed using the qualitative data: “under-recognition of sleep difficulties”, “ruminations”, “practical utility” and “therapeutic autonomy”.

There is a growing need for occupational therapists and clinicians to provide interventions for patients with sleep difficulties and to develop sleep management practice. This patient-guided sleep workbook may be an effective intervention for these patients.

This study aims to focused on conducting a comprehensive assessment of the technology readiness level (TRL) of Iran’s oil field intelligence compared to other countries with similar oil reservoirs. The ultimate objective is to optimize oil extraction from this field by leveraging intelligent technology. Incorporating intelligent technology in oil fields can significantly simplify operations, especially in challenging-to-access areas and increase oil production, thereby generating higher income and profits for the field owner.

This study evaluates the level of maturity of present oil field technologies from the perspective of an intelligent oil field by using criteria for measuring the readiness of technologies. A questionnaire was designed and distributed to 18 competent oil industry professionals. Using weighted criteria, a mean estimate of oil field technical maturity was derived from the responses of respondents. Researchers evaluated the level of technological readiness for Brunei, Kuwait and Saudi Arabia’s oil fields using scientific studies.

None of the respondents believe that the intelligent oil field in Iran is highly developed and has a TRL 9 readiness level. The bulk of experts believed that intelligent technologies in the Iran oil industry have only reached TRL 2 and 1, or are merely in the transfer phase of fundamental and applied research. Clearly, Brunei, Kuwait and Saudi Arabia have the most developed oil fields in the world. In Iran, academics and executive and contracting firms in the field of intelligent oil fields are working to intelligently develop young oil fields.

This study explores the level of maturity of intelligent technology in one of Iran’s oil fields. It compares it to the level of maturity of intelligent technology in several other intelligent oil fields throughout the globe. Increasing intelligent oil fields TRL enables better reservoir management and causes more profit and oil recovery.

The purpose of this paper is to identify the relationship between the frequency of publication on food supply chain (FSC) traceability and the occurrence of foodborne diseases outbreaks.

A systematic review of the literature was carried out to locate the main articles published in the literature, followed by a content analysis in order to list the main food traceability technologies and their evolutions. Finally, a Spearman’s ρ correlation analysis between the frequency of publications on FSC traceability and the annual occurrence of foodborne outbreaks in the five largest food exporting countries in the world was performed.

In these analyses, the tools of radiofrequency, deoxyribonucleic acid, wireless sensor network, hazard analysis and critical control points and Internet of Things are the most researched technologies, and they are relevant in the evolution of traceability in the FSC. With correlation coefficients above 0.700 at 0.01 significance levels, this evolution of food traceability technologies has been one of the factors reducing the number of food outbreaks in the USA and Germany, countries with greater development of the health system and food control.

This paper provides an evaluation of the food traceability technologies and the effects of their evolutions in the occurrence of food outbreaks. This may help in the proposal of public policies related to food and outbreak control.