SMART Group (United Kingdom)

<title>Abstract</title> Rapa Nui preserves an isolated lineage of <italic>Coffea arabica var. Typica</italic> with remarkable genetic purity, high homozygosity, and distinctive biochemical and sensory traits. Integrated genetic, sensory, and chemical analyses reveal its potential as a unique clonal reservoir with value for conservation and climate resilience. These findings highlight the island’s relevance for specialty coffee, sustainable development, and diversification of global Arabica genetic resources.

In its 32nd year, the Business Information Review Survey captures insights from conversations with leading information managers in the UK. The participants include information industry leaders from a range of sectors, including financial services, law, professional services, manufacturing, health and biomedical. The conversations took place in the first six months of 2023. They covered corporate structure, the operating environment, staffing trends, the impact of technology, content delivery, vendor and client engagement. Respondents were also invited to share their strategic priorities for the remainder of 2023 and 2024.

The “double carbon target” puts forward new requirements for China’s energy structure adjustment. As a leader in offshore wind power equipment, MYSE is an active practitioner of the concept of “carbon neutrality”. The company has established a green growth path and is actively experimenting with various green financial instruments to meet its rapidly growing capital needs. This paper describes in detail the “double carbon goal” to promote the intelligent green development of MYSE, as well as the diversified financing strategy based on green development. Taking the company’s experience of issuing green notes, green bonds, listing on London Stock Exchange and obtaining the “Green economy mark” as examples, this paper analyzes the conditions and strategies of green financing for high-carbon enterprises, and deeply understands the mutual support and promotion relationship between green development and green finance of companies. Deeply understand the positive significance of innovative financing channels and the use of green financing tools for the company’s green development, and provide reference and inspiration for local high-carbon enterprises to actively use green financing tools.

Multiphase flow is ubiquitous in nature, industry and research, and accurate flow imaging is critical to understanding this complex phenomenon. Electrical tomography (ET) is a promising technique for multiphase flow visualization and characterization which provides a non-invasive and non-radiative way to unravel the internal physical properties at high temporal resolution. However, existing ET-based multiphase flow imaging methods are inadequate for quantitative imaging of multiphase flows due to inversion errors and limited ground truth data of fluid phases distribution. Here we report a digital twin (DT) framework of ET to address the challenges of real-time quantitative multiphase flow imaging. The proposed DT framework, building upon a synergistic integration of 3D field coupling simulation, model-based deep learning, and edge computing, allows ET to dynamically learn the flow features in the virtual space and implement the model in the physical system, thus providing excellent resolution and accuracy. The proposed DT framework is demonstrated using electrical capacitance tomography (ECT) of a gas-liquid two-phase flow. It can be readily extended to a broader range of tomography modalities, scenarios, and scales in biomedical, energy, and aerospace applications.

To reduce Operation and Maintenance (O&M) expenditure on offshore wind farms, wherein 80% of the cost relates to deploying personnel, the offshore wind sector looks to advances in Robotics and Artificial Intelligence (RAI) for solutions. Barriers to residential Beyond Visual Line of Sight (BVLOS) autonomy as a service, include operational challenges in run-time safety compliance, reliability and resilience, due to the complexities of dealing with known and unknown risk in dynamic environments. In this paper we incorporate a Symbiotic System Of Systems Approach (SSOSA) that uses a Symbiotic Digital Architecture (SDA) to provide a cyber physical orchestration of enabling technologies. Implementing a SSOSA enables Cooperation, Collaboration and Corroboration (C3), as to address run-time verification of safety, reliability and resilience during autonomous missions. Our SDA provides a means to synchronize distributed digital models of the robot, environment and infrastructure. Through the coordinated bidirectional communication network of the SDA, the remote human operator has improved visibility and understanding of the mission profile. We evaluate our SSOSA in an asset inspection mission within a confined operating environment. Demonstrating the ability of our SSOSA to overcome safety, reliability and resilience challenges. The SDA supports lifecycle learning and co-evolution with knowledge sharing across the interconnected systems. Our results evaluate both sudden and gradual faults, as well as unknown events, that may jeopardize an autonomous mission. Using distributed and coordinated decision making, the SSOSA enhances the analysis of the mission status, which includes diagnostics of critical sub-systems within the resident robot. This evaluation demonstrates that the SSOSA provides enhanced run-time operational resilience and safety compliance to BVLOS autonomous missions. The SSOSA has the potential to be a highly transferable methodology to other mission scenarios and technologies, providing a pathway to implementing scalable autonomy as a service.