Huntington's disease (HD) is a neuropsychiatric disorder characterized by choreiform movement of the limbs, cognitive disability, psychosis and dementia. It is invariably associated with an ...abnormally long CAG expansion within the IT15 gene on human chromosome 4. Although the mutant huntingtin protein is ubiquitously expressed in HD patients, cellular degeneration occurs predominantly in neurons within the corpus striatum and cerebral cortex. The Ras homolog Rhes is expressed very selectively in the precise brain areas affected by HD. Recent in vitro work suggests that Rhes may be a co-factor with mutant huntingtin in cell death. The objective of the present study was to examine whether the inhibition of Rhes would attenuate or delay the symptoms of HD in vivo. We used a transgenic mouse model of HD crossed with Rhes knockout mice to show that the behavioral symptoms of HD are regulated by Rhes. HD(+)/Rhes(-/-) mice showed significantly delayed expression of HD-like symptoms in this in vivo model. Drugs that block or inhibit the actions of Rhes may be useful as the first treatments for HD.
The food system is undergoing a digital transformation that connects local and global supply chains to address economic, environmental, and societal drivers. Digitalisation enables firms to meet ...sustainable development goals (SDGs), address climate change and the wider negative externalities of food production such as biodiversity loss, and diffuse pollution. Digitalising at the business and supply chain level through public–private mechanisms for data exchange affords the opportunity for greater collaboration, visualising, and measuring activities and their socio-environmental impact, demonstrating compliance with regulatory and market requirements and providing opportunity to capture current practice and future opportunities for process and product improvement. Herein we consider digitalisation as a tool to drive innovation and transition to a decarbonised food system. We consider that deep decarbonisation of the food system can only occur when trusted emissions data are exchanged across supply chains. This requires fusion of standardised emissions measurements within a supply chain data sharing framework. This framework, likely operating as a corporate entity, would provide the foci for measurement standards, data exchange, trusted, and certified data and as a multi-stakeholder body, including regulators, that would build trust and collaboration across supply chains. This approach provides a methodology for accurate and trusted emissions data to inform consumer choice and industrial response of individual firms within a supply chain.
Here we reflect on how a multidisciplinary working group explored the ethical complexities of the use of new technologies for data sharing in the food supply chain. We used a three-part process of ...varied design methods, which included collaborative ideation and speculative scenario development, the creation of design fiction objects, and assessment using the Moral-IT deck, a card-based tool. We present, through the lens of the EPSRC's Framework for Responsible Innovation how processes of anticipation, reflection, engagement and action built a plausible, fictional world in which a data trust uses artificial intelligence (AI) to support data sharing and decision-making across the food supply chain. This approach provides rich opportunities for considering ethical challenges to data sharing as part of a reflexive and engaged responsible innovation approach. We reflect on the value and potential of this approach as a method for engaged (co-)design and responsible innovation.
The use of artificial intelligence (AI) is growing in food supply chains. The ethical language associated with food supply and technology is contextualised and framed by the meaning given to it by ...stakeholders. Failure to differentiate between these nuanced meanings can create a barrier to technology adoption and reduce the benefit derived.
The aim of this review paper is to consider the embedded ethical language used by stakeholders who collaborate in the adoption of AI in food supply chains. Ethical perspectives frame this literature review and provide structure to consider how to shape a common discourse to build trust in, and frame more considered utilisation of, AI in food supply chains to the benefit of users, and wider society.
Whilst the nature of data within the food system is much broader than the personal data covered by the European Union General Data Protection Regulation (GDPR), the ethical issues for computational and AI systems are similar and can be considered in terms of particular aspects: transparency, traceability, explainability, interpretability, accessibility, accountability and responsibility. The outputs of this research assist in giving a more rounded understanding of the language used, exploring the ethical interaction of aspects of AI used in food supply chains and also the management activities and actions that can be adopted to improve the applicability of AI technology, increase engagement and derive greater performance benefits. This work has implications for those developing AI governance protocols for the food supply chain as well as supply chain practitioners.
•AI applications are increasingly being adopted in food supply chains.•AI empowers decision-making, but its use must be framed by ethical considerations.•Benefits/risks of using AI are constantly evaluated in the AI development cycle.•Improving explainability, interpretability and accessibility enables transparency.•Responsibility and accountability relate to governance structures for use of AI.
Distributed Ledger Technology (DLT), such as blockchain, has the potential to transform supply chains. It can provide a cryptographically secure and immutable record of transactions and associated ...metadata (origin, contracts, process steps, environmental variations, microbial records, etc.) linked across whole supply chains. The ability to trace food items within and along a supply chain is legally required by all actors within the chain. It is critical to food safety, underpins trust and global food trade. However, current food traceability systems are not linked between all actors within the supply chain. Key metadata on the age and process history of a food is rarely transferred when a product is bought and sold through multiple steps within the chain. Herein, we examine the potential of massively scalable DLT to securely link the entire food supply chain, from producer to end user. Under such a paradigm, should a food safety or quality issue ever arise, authorized end users could instantly and accurately trace the origin and history of any particular food item. This novel and unparalleled technology could help underpin trust for the safety of all food, a critical component of global food security. In this paper, we investigate the (i) data requirements to develop DLT technology across whole supply chains, (ii) key challenges and barriers to optimizing the complete system, and (iii) potential impacts on production efficiency, legal compliance, access to global food markets and the safety of food. Our conclusion is that while DLT has the potential to transform food systems, this can only be fully realized through the global development and agreement on suitable data standards and governance. In addition, key technical issues need to be resolved including challenges with DLT scalability, privacy and data architectures.
•This article provides an overview of the application of distributed ledger technology (DLT) within the food chain.•In theory DLT can provide an immutable record of food traceability. This enables extremely robust and rapid traceability of food origin through the chain.•Despite considerable interest there is no detailed consideration of how DLT can be applied in the food industry and key challenges to its application.•Key issues include the need for global standards, scalability and potential barriers to trade.
The application of autonomous technology in food supply chains gives rise to a number of ethical considerations associated with the interaction between human and technology, human-technology-plant ...and human-technology-animal. These considerations and their implications influence technology design, the ways in which technology is applied, how the technology changes food supply chain practices, decision-making and the associated ethical aspects and outcomes.
Using the concept of reflexive governance, this paper has critiqued existing reflective food-related ethical assessment tools and proposed the structural elements required for reflexive governance architectures which address both the sharing of data, and the use of artificial intelligence (AI) and machine learning in food supply chains.
Considering the ethical implications of using autonomous technology in real life contexts is challenging. The current approach, focusing on discrete ethical elements in isolation e.g., ethical aspects or outcomes, normative standards or ethically orientated compliance-based business strategies, is not sufficient in itself. Alternatively, the application of more holistic, reflexive governance architectures can inform consideration of ethical aspects, potential ethical outcomes, in particular how they are interlinked and/or interdependent, and the need for mitigation at all lifecycle stages of technology and food product conceptualisation, design, realisation and adoption in the food supply chain. This research is of interest to those who are undertaking ethical deliberation on data sharing, and the use of AI and machine learning in food supply chains.
•Autonomous technology can support decision-making in food supply chains.•The use of autonomous technology has ethical implications.•Ethical considerations focus on both aspects and outcomes of technology use.•Existing governance approaches are limited by being reflective, normative, rule-based.•Reflexive governance architectures for technology ‘concept to realisation’ are essential.
Transoral incisionless fundoplication is an alternative to traditional laparoscopic fundoplications. Recently, hiatal hernia repair combined with transoral incisionless fundoplication has become an ...accepted modification of the original procedure; however, outcomes information, particularly objective pH monitoring, has been sparse. We retrospectively review the subjective and objective outcomes of transoral incisionless fundoplication combined with hiatal hernia repair.
Ninety-seven consecutive patients presenting for reflux evaluation were reviewed for outcomes after evaluation and treatment. Fifty-five patients proceeded to hiatal hernia repair with transoral incisionless fundoplication. Twenty-nine patients (53%) were found to have matched preoperative and postoperative validated surveys and pH evaluations.
There were no serious complications. The mean followup was 296 days (SD, 117 days). The mean Gastroesophageal Reflux Disease Health Related Quality of Life score improved from 33.7 (SD, 22.0) to 9.07 (SD, 13.95),
< .001. The mean Reflux Symptom Index score improved from 20.32 (SD, 13) to 8.07 (SD, 9.77),
< .001. The mean pH score improved from 35.3 (SD, 2.27) to 10.9 (SD, 11.5),
< .001. Twenty-two of the 29 patients were judged to have an intact hiatal repair with transoral incisionless fundoplication (76%). Of the 22 patients with an intact hiatal repair and intact fundoplication, 21 (95%) had normalized their pH exposure.
In this retrospective review, hiatal hernia repair combined with transoral incisionless fundoplication significantly improved outcomes in patients with gastroesophageal reflux disease in both subjective Gastroesophageal Reflux Disease Health Related Quality of Life and Reflux Symptom Index measurements as well as in objective pH scores.
Purpose of Review
The paper discusses how robotics and autonomous systems (RAS) are being deployed to decarbonise agricultural production. The climate emergency cannot be ameliorated without dramatic ...reductions in greenhouse gas emissions across the agri-food sector. This review outlines the transformational role for robotics in the agri-food system and considers where research and focus might be prioritised.
Recent Findings
Agri-robotic systems provide multiple emerging opportunities that facilitate the transition towards net zero agriculture. Five focus themes were identified where robotics could impact sustainable food production systems to (1) increase nitrogen use efficiency, (2) accelerate plant breeding, (3) deliver regenerative agriculture, (4) electrify robotic vehicles, (5) reduce food waste.
Summary
RAS technologies create opportunities to (i) optimise the use of inputs such as fertiliser, seeds, and fuel/energy; (ii) reduce the environmental impact on soil and other natural resources; (iii) improve the efficiency and precision of agricultural processes and equipment; (iv) enhance farmers’ decisions to improve crop care and reduce farm waste. Further and scaled research and technology development are needed to exploit these opportunities.
The goal of this study was to compare total mercury (Hg) concentrations in fish muscle tissue and assess consumption health risks of fish collected from three north Mississippi lakes (Sardis, Enid, ...and Grenada) that are extensively used for fishing and recreation. Largemouth bass (LMB; n = 64), channel catfish (CC; n = 72), and white crappie (WC; n = 100), which represent a range of trophic levels, were collected during spring 2013 and 2014. Creel data estimated that anglers harvested approximately 370,000 kg of WC, 27,000 kg of CC, and 15,000 kg of LMB from the lakes annually. Median Hg wet weight concentrations were highest in LMB (443 ng/g), followed by CC (211 ng/g) and WC (192 ng/g). Fish-Hg concentrations were lower than those reported in fish >10 years ago. There were significant differences between lakes consistent across species. Grenada length-normalized fish-Hg concentrations were higher than those from Enid and Sardis. Because existing consumption advisories for CC are length based, the lack of relationship between length and Hg concentration indicated that the recommendations may not be sufficiently protective. Further, five different risk assessment paradigms yielded hazard quotient (HQ) values suggesting that existing fish consumption advisories may be insufficient to protect adults and especially children from exposure to Hg.
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