Blockchain Technology Characteristics Essential for the Agri-food Sector: A Systematic Review

Data availability: Data will be made available on request.Blockchain is seen as a disruptive fundamental technology that will transform agri-food sectors in the near future. Blockchain is a digital, immutable, decentralized ledger of transactions that is replicated and distributed throughout the chain of computer systems on the blockchain's network. This systematic review examines the literature to identify the enabling characteristics of blockchain technology that support its application in the agri-food sectors. The literature reviewed indicated essential characteristics such as transparency, immutability, redundancy, versatility, automation, and remittance. Among these features, immutability and automation have a salient role in the current implementation, particularly in food traceability. However, the application of blockchain in the agri-food sector is not without controversies. More research is needed regarding technical improvement and its environmental impact.Swedish University of Agricultural Sciences, Sweden, by a scholarship from L Nannesson's foundation, grant number Dnr SLU.ua.2019.3.1.5–617

The intersection of blockchain technology and circular economy in the agri-food sector

The following are the supplementary data related to this article: Table A1. Main drivers and examples of food loss and waste across food supply chains (not exhaustive). Available online at: https://ars.els-cdn.com/content/image/1-s2.0-S2352550922002986-mmc1.docx (Word document (33KB)); Table B1. A List of the reviewed literature and a summary of the findings (in total 44 articles were collected of which 39 were retrieved from databases and five articles were added manually after checking the references within the reviewed articles). Available online at: https://ars.els-cdn.com/content/image/1-s2.0-S2352550922002986-mmc2.docx (Word document (59KB)); Table C1. Evidence of employing blockchain-based use cases on the ‘Circular Economy’ within the agri-food domain. Available online at: https://ars.els-cdn.com/content/image/1-s2.0-S2352550922002986-mmc3.docx (Word document (47KB)).Copyright © 2022 The Authors / Institution of Chemical Engineers. A transition towards a circular economy within the agri-food sector requires the improvement of efficiency in resource utilization, the prevention of food loss or waste, whilst adopting regenerative agricultural practices. In addition to the technical challenges, the agri-food industry needs to address the food safety concerns resulting from biomass recycling processes. Increasingly, blockchain technology is gaining traction, moving towards more sustainable and precision agriculture. The blockchain is a decentralized, immutable, and shared database that records the provenance of digital assets, making it a suitable platform for traceability and food supply chain management. Despite its growing importance, the existing literature regarding these themes and the empirical evidence of blockchain-based solutions for a circular economy is rather fragmented. This paper offers a scoping review regarding the role of blockchain technology in the transition towards a circular food system. A total of 44 papers published in peer-reviewed journals were reviewed to identify new scientific insights into the application of blockchains within the agricultural sector. The results indicate that blockchain technology has a great potential in reducing food loss through optimized eco-efficiency (e.g., digitalization and integration with the Internet of Things) and by alleviating asymmetric information (by increasing transparency and reducing dependence on intermediaries). However, in the case of recycling efficiency, despite its potential, there remains a paucity of evidence regarding the use of blockchain technology in improving the residual valorization processes. Furthermore, there is a stream of literature focusing on the ability of blockchain-enabled traceability (e.g., for organic production or supply chain management). Yet, the role of blockchain traceability in the monitoring of risks from recycled biomass and the reporting of the sustainability performance in the supply chain has received scant attention within research literature. These results provide insights for supply chain management operations with the view of shifting towards a circular economy whilst also suggesting an agenda for future research areas.This work was supported by the Swedish University of Agricultural Sciences, Sweden, by a scholarship from L Nannesson’s foundation, grant number Dnr SLU.ua.2019.3.1.5-617

The European Nucleotide Archive

The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) is Europe’s primary nucleotide-sequence repository. The ENA consists of three main databases: the Sequence Read Archive (SRA), the Trace Archive and EMBL-Bank. The objective of ENA is to support and promote the use of nucleotide sequencing as an experimental research platform by providing data submission, archive, search and download services. In this article, we outline these services and describe major changes and improvements introduced during 2010. These include extended EMBL-Bank and SRA-data submission services, extended ENA Browser functionality, support for submitting data to the European Genome-phenome Archive (EGA) through SRA, and the launch of a new sequence similarity search service

Major submissions tool developments at the European nucleotide archive

The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena), Europe's primary nucleotide sequence resource, captures and presents globally comprehensive nucleic acid sequence and associated information. Covering the spectrum from raw data to assembled and functionally annotated genomes, the ENA has witnessed a dramatic growth resulting from advances in sequencing technology and ever broadening application of the methodology. During 2011, we have continued to operate and extend the broad range of ENA services. In particular, we have released major new functionality in our interactive web submission system, Webin, through developments in template-based submissions for annotated sequences and support for raw next-generation sequence read submissions

Smoking and dietary inadequacy among Inuvialuit women of child bearing age in the Northwest Territories, Canada

Objective The prevalence of smoking in Aboriginal Canadians is higher than non-Aboriginal Canadians, a behavior that also tends to alter dietary patterns. Compared with the general Canadian population, maternal smoking rates are almost twice as high. The aim of this study was to compare dietary adequacy of Inuvialuit women of childbearing age comparing smokers versus non-smokers. Research methods & procedures A cross-sectional study, where participants completed a culturally specific quantitative food frequency questionnaire. Non-parametric analysis was used to compare mean nutrient intake, dietary inadequacy and differences in nutrient density among smokers and non-smokers. Multiple logistic regression analyses were performed for key nutrients inadequacy and smoking status. Data was collected from three communities in the Beaufort Delta region of the Northwest Territories, Canada from randomly selected Inuvialuit women of childbearing age (19-44 years). Results Of 92 participants, 75% reported being smokers. There were no significant differences in age, BMI, marital status, education, number of people in household working and/or number of self employed, and physical activity between smokers and non-smokers. Non-parametric analysis showed no differences in nutrient intake between smokers and non-smokers. Logistic regression however revealed there was a positive association between smoking and inadequacies of vitamin C (OR = 2.91, 95% CI, 1.17-5.25), iron (OR = 3.16, 95% CI, 1.27-5.90), and zinc (OR = 2.78, 95% CI, 1.12-4.94). A high percentage of women (>60%), regardless of smoking status, did not meet the dietary recommendations for fiber, vitamin D, E and potassium. Conclusions This study provides evidence of inadequate dietary intake among Inuvialuit of childbearing age regardless of smoking behavior

Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography, From Training Through Independent Practice.

BACKGROUND & AIMS: It is unclear whether participation in competency-based fellowship programs for endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) results in high-quality care in independent practice. We measured quality indicator (QI) adherence during the first year of independent practice among physicians who completed endoscopic training with a systematic assessment of competence. METHODS: We performed a prospective multicenter cohort study of invited participants from 62 training programs. In phase 1, 24 advanced endoscopy trainees (AETs), from 20 programs, were assessed using a validated competence assessment tool. We used a comprehensive data collection and reporting system to create learning curves using cumulative sum analysis that were shared with AETs and trainers quarterly. In phase 2, participating AETs entered data into a database pertaining to every EUS and ERCP examination during their first year of independent practice, anchored by key QIs. RESULTS: By the end of training, most AETs had achieved overall technical competence (EUS 91.7%, ERCP 73.9%) and cognitive competence (EUS 91.7%, ERCP 94.1%). In phase 2 of the study, 22 AETs (91.6%) participated and completed a median of 136 EUS examinations per AET and 116 ERCP examinations per AET. Most AETs met the performance thresholds for QIs in EUS (including 94.4% diagnostic rate of adequate samples and 83.8% diagnostic yield of malignancy in pancreatic masses) and ERCP (94.9% overall cannulation rate). CONCLUSIONS: In this prospective multicenter study, we found that although competence cannot be confirmed for all AETs at the end of training, most meet QI thresholds for EUS and ERCP at the end of their first year of independent practice. This finding affirms the effectiveness of training programs. Clinicaltrials.gov ID NCT02509416

Competence in Endoscopic Ultrasound and Endoscopic Retrograde Cholangiopancreatography, From Training Through Independent Practice.

BACKGROUND & AIMS: It is unclear whether participation in competency-based fellowship programs for endoscopic ultrasound (EUS) and endoscopic retrograde cholangiopancreatography (ERCP) results in high-quality care in independent practice. We measured quality indicator (QI) adherence during the first year of independent practice among physicians who completed endoscopic training with a systematic assessment of competence. METHODS: We performed a prospective multicenter cohort study of invited participants from 62 training programs. In phase 1, 24 advanced endoscopy trainees (AETs), from 20 programs, were assessed using a validated competence assessment tool. We used a comprehensive data collection and reporting system to create learning curves using cumulative sum analysis that were shared with AETs and trainers quarterly. In phase 2, participating AETs entered data into a database pertaining to every EUS and ERCP examination during their first year of independent practice, anchored by key QIs. RESULTS: By the end of training, most AETs had achieved overall technical competence (EUS 91.7%, ERCP 73.9%) and cognitive competence (EUS 91.7%, ERCP 94.1%). In phase 2 of the study, 22 AETs (91.6%) participated and completed a median of 136 EUS examinations per AET and 116 ERCP examinations per AET. Most AETs met the performance thresholds for QIs in EUS (including 94.4% diagnostic rate of adequate samples and 83.8% diagnostic yield of malignancy in pancreatic masses) and ERCP (94.9% overall cannulation rate). CONCLUSIONS: In this prospective multicenter study, we found that although competence cannot be confirmed for all AETs at the end of training, most meet QI thresholds for EUS and ERCP at the end of their first year of independent practice. This finding affirms the effectiveness of training programs. Clinicaltrials.gov ID NCT02509416

Incident type 2 diabetes attributable to suboptimal diet in 184 countries

The global burden of diet-attributable type 2 diabetes (T2D) is not well established. This risk assessment model estimated T2D incidence among adults attributable to direct and body weight-mediated effects of 11 dietary factors in 184 countries in 1990 and 2018. In 2018, suboptimal intake of these dietary factors was estimated to be attributable to 14.1 million (95% uncertainty interval (UI), 13.814.4 million) incident T2D cases, representing 70.3% (68.871.8%) of new cases globally. Largest T2D burdens were attributable to insufficient whole-grain intake (26.1% (25.027.1%)), excess refined rice and wheat intake (24.6% (22.327.2%)) and excess processed meat intake (20.3% (18.323.5%)). Across regions, highest proportional burdens were in central and eastern Europe and central Asia (85.6% (83.487.7%)) and Latin America and the Caribbean (81.8% (80.183.4%)); and lowest proportional burdens were in South Asia (55.4% (52.160.7%)). Proportions of diet-attributable T2D were generally larger in men than in women and were inversely correlated with age. Diet-attributable T2D was generally larger among urban versus rural residents and higher versus lower educated individuals, except in high-income countries, central and eastern Europe and central Asia, where burdens were larger in rural residents and in lower educated individuals. Compared with 1990, global diet-attributable T2D increased by 2.6 absolute percentage points (8.6 million more cases) in 2018, with variation in these trends by world region and dietary factor. These findings inform nutritional priorities and clinical and public health planning to improve dietary quality and reduce T2D globally. (c) 2023, The Author(s)