Future Systems Research Articles

The TITAN Project: Transforming the food system for a sustainable future

The TITAN Project: Transforming the food system for a sustainable future The European Federation of Food Science and Technology (EFFoST) wants to revolutionise the food industry with its new TITAN Project. This four-year Horizon Europe initiative seeks to enhance transparency, improve food safety, and promote sustainability in the agri-food sector. In an interview with Open Access Governments editor Harriet Belderbos, key representatives of the TITAN project shared their insights and objectives.

Top three intelligent algorithms for OAM mode recognitions in optical communications

Abstract Vortex optical communication employing orbital angular momentum (OAM) has been a hot research field in recent years. Thanks to the orthogonality of the OAM, several multiplexing and modulation techniques have been developed that can effectively improve communication capacity. However, to achieve this, accurate mode recognition in the OAM-based free-space optical (FSO) communication system is essential. Generally, perturbations in the free space link significantly affect the transmission efficiency and distort the helical phase-front of OAM beams, which will result in intermodal crosstalk and poses a critical challenge in the recognition of OAM modes. To date, artificial intelligence (AI) technologies have been widely applied to address the aforementioned bottleneck of insufficient accuracy of existing techniques for OAM mode detection. Therefore, a review paper that discusses the recent developments and challenges of the most widely used AI algorithms for OAM mode recognition schemes, i.e., feedforward neural network (FNN), convolutional neural network (CNN), and diffractive deep neural networks (D2NN) is urgently required. By elaborating on the principles of these algorithms and analyzing recent reports, encompassing both experimental and simulated results, we established their profound importance in enhancing the accuracy of OAM mode recognition. Moreover, this work provides an outlook on the recent trends in this newly developed field and the critical challenges faced in effectively using AI for improving the reliability of the OAM-based FSO communication system in near future.

Analysis and Innovative Strategies of Tax Preferential Policies to Promote the Sustainable Development of Small-Scale Individual Businesses

This study conducted an in-depth analysis of the current tax preferential policies for small-scale individual businesses and compared them with similar policies both domestically and internationally, aiming to reveal the advantages and disadvantages of the current system. After examining the impact of these tax preferential policies on the economic status of individual business owners and the broader social economy, this article proposes a set of innovative tax preferential strategies based on theoretical foundations. By developing these innovative strategies and clarifying their implementation paths, the aim is to promote the sustainable and healthy development of small-scale individual businesses, thereby fostering comprehensive socio-economic progress. The conclusion of this study not only summarizes policy recommendations with practical significance but also provides theoretical support for the optimization and innovation of future related systems.

TOPCOAT: towards practical two-party Crystals-Dilithium

The development of threshold protocols based on lattice-signature schemes has been of increasing interest in the past several years. The main research focus has been towards protocols constructed for various variants of Crystals-Dilithium, future NIST digital signature standard known as ML-DSA. In this work, we propose TOPCOAT, a two-party lattice-based signature algorithm that embodies Dilithium’s compression techniques. The aforesaid result is achieved by introducing a new hinting mechanism that allows parties to collaboratively calculate HighBits\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ extsf {HighBits}$$\\end{document}. Our hinting mechanism allows public key compression similar to Dilithium. Additionally, we suggest an optimization technique to minimize number of restarts both parties need to produce a valid signature. Our approach allows to produce ≈10\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\approx 10$$\\end{document} KB signatures within 3 rounds of communication. We prove security of our scheme under MLWE and MSIS assumptions in ROM, and provide implementation of our proposed scheme. As additional contribution, we present vulnerabilities and inconsistencies found in Liu et al. work (Future Generation Computer Systems 2023) which aimed to construct distributed lattice-based signature protocol.

An Efficient Immersive Self-Training System for Hip-Hop Dance Performance with Automatic Evaluation Features

As a significant form of physical expression, dance demands ongoing training for skill enhancement, particularly in expressiveness. However, such training often faces restrictions related to location and time. Moreover, the evaluation of dance performance tends to be subjective, which necessitates the development of effective training methods and objective evaluation techniques. In this research, we introduce a self-training system for dance that employs VR technology to create an immersive training environment that facilitates a comprehensive understanding of three-dimensional dance movements. Furthermore, the system incorporates markerless motion capture technology to accurately record dancers’ movements in real time and translate them into the VR avatar. Additionally, the use of deep learning enables multi-perspective dance performance assessment, providing feedback to users to aid their repetitive practice. To enable deep learning-based dance evaluations, we established a dataset that incorporates data from beginner-level dances along with expert evaluations of those dances. This dataset was specifically curated for practitioners in a dance studio setting by using a total of four cameras to record dances. Expert annotations were obtained from various perspectives to provide a comprehensive evaluation. This study also proposes three unique automatic evaluation models. A comparative analysis of the models, particularly contrastive learning (and autoencoder)-based expression learning and a reference-guided model (where a model dancer’s performance serves as a reference), revealed that the reference-guided model achieved superior accuracy. The proposed method was able to predict dance performance ratings with an accuracy of approximately ±1 point on a 10-point scale, compared to ratings by professional coaches. Our findings open up novel possibilities for future dance training and evaluation systems.

An Efficient Immersive Self-Training System for Hip-Hop Dance Performance with Automatic Evaluation Features

As a significant form of physical expression, dance demands ongoing training for skill enhancement, particularly in expressiveness. However, such training often faces restrictions related to location and time. Moreover, the evaluation of dance performance tends to be subjective, which necessitates the development of effective training methods and objective evaluation techniques. In this research, we introduce a self-training system for dance that employs VR technology to create an immersive training environment that facilitates a comprehensive understanding of three-dimensional dance movements. Furthermore, the system incorporates markerless motion capture technology to accurately record dancers’ movements in real time and translate them into the VR avatar. Additionally, the use of deep learning enables multi-perspective dance performance assessment, providing feedback to users to aid their repetitive practice. To enable deep learning-based dance evaluations, we established a dataset that incorporates data from beginner-level dances along with expert evaluations of those dances. This dataset was specifically curated for practitioners in a dance studio setting by using a total of four cameras to record dances. Expert annotations were obtained from various perspectives to provide a comprehensive evaluation. This study also proposes three unique automatic evaluation models. A comparative analysis of the models, particularly contrastive learning (and autoencoder)-based expression learning and a reference-guided model (where a model dancer’s performance serves as a reference), revealed that the reference-guided model achieved superior accuracy. The proposed method was able to predict dance performance ratings with an accuracy of approximately ±1 point on a 10-point scale, compared to ratings by professional coaches. Our findings open up novel possibilities for future dance training and evaluation systems.

A Review on 3D Printing Processes in Pharmaceutical Engineering and Tissue Engineering: Applications, Trends and Challenges

AbstractAs a 3D rapid prototyping technology, 3D printing (3DP) technology has been widely applied in medical research, fabricating various medical devices or implants. With the development of biomaterials and cell‐related technologies, 3DP, especially bioprinting technology, is quietly bringing great changes and opportunities in the medical industry. Beyond surgical models, medical devices, and implants, traditional 3DP, cell‐based 3D bioprinting, and emerging 4D printing (4DP) have significantly aided in the advancement and manufacture of pharmaceuticals and biological alternatives for tissue engineering. It is envisioned that future healthcare systems, based on evolving 3DP technology and precision medicine, will deliver customized solutions that cater to the unique differences and needs of each patient. In this review work, several mainstream 3D bioprinting technologies are presented, with a focus on recent advances in 3DP for pharmaceutical engineering and important tissue engineering, including vascular and bone tissue engineering. Challenges and future prospects of 3DP for drug discovery, drug delivery systems, artificial blood vessels, vascular and bone tissue engineering scaffolds, and practical applications are also covered. Finally, the differences between 3DP and 4DP, as well as the advantages and disadvantages of different stimulus response mechanisms in 4DP and their potential applications are summarized.

A Review on 3D Printing Processes in Pharmaceutical Engineering and Tissue Engineering: Applications, Trends and Challenges

AbstractAs a 3D rapid prototyping technology, 3D printing (3DP) technology has been widely applied in medical research, fabricating various medical devices or implants. With the development of biomaterials and cell‐related technologies, 3DP, especially bioprinting technology, is quietly bringing great changes and opportunities in the medical industry. Beyond surgical models, medical devices, and implants, traditional 3DP, cell‐based 3D bioprinting, and emerging 4D printing (4DP) have significantly aided in the advancement and manufacture of pharmaceuticals and biological alternatives for tissue engineering. It is envisioned that future healthcare systems, based on evolving 3DP technology and precision medicine, will deliver customized solutions that cater to the unique differences and needs of each patient. In this review work, several mainstream 3D bioprinting technologies are presented, with a focus on recent advances in 3DP for pharmaceutical engineering and important tissue engineering, including vascular and bone tissue engineering. Challenges and future prospects of 3DP for drug discovery, drug delivery systems, artificial blood vessels, vascular and bone tissue engineering scaffolds, and practical applications are also covered. Finally, the differences between 3DP and 4DP, as well as the advantages and disadvantages of different stimulus response mechanisms in 4DP and their potential applications are summarized.

Flight Testing Of A Single Point Frequency Sweeping Filtered Rayleigh Scattering Probe

"We present a successful in-flight application of filtered Rayleigh scattering (FRS) for temperature measurement in close proximity to the air plane using a newly developed single point, frequency sweeping probe. The temperature measurement is of relevance in the quantification of the density required for the evaluation of velocity from Pitot-probe measurements to obtain the true air speed (TAS). Laser optical air data sensors have the potential for contactless measurements outside the aerodynamic boundary layer. They are capable of self-diagnosis of fault conditions (e.g. signal loss, increased measurement uncertainty or spectral distortion for FRS) thereby increasing the safety of the aircraft. Compared to classical probes, they are less susceptible potential icing and blockage issues. The FRS-results presented here, are the outcome of two separate flight campaigns, carried out in the Alpine region as well as in the North Sea area. Measurement data provided information on the functionality of the FRS-system under various flight and weather conditions. Furthermore, the implementation of the FRS measurement system in the aircraft is presented; application aspects and improvements are discussed. In particular, the measurement accuracy at the actually achievable measurement rate was analyzed. For straight ahead flights at constant height, temperature mean values were in good agreement with the flight data system of the DLR research aircraft Dassault Falcon 20 (D-CMET). Aiming at in-flight air data measurements, the optical FRS measurement system requires a real-time temperature sample rate of a few Hz. We demonstrate that 2 FRS spectra per second can be acquired by a newly developed method using frequency sweeps for temperature determination. The low signal intensity of cw-laser based FRS is countered using a combined transmitter/receiver optic that focusses the entire cw-laser power into one measuring point. The light backscattered from the probe volume is collected by the same optics, filtered and imaged in a confocal arrangement onto a photomultiplier. An improved and miniaturized version of the presented FRS system could be a part of a future optical air data system (OADS). However, the strength of FRS signal relative to bright ambient conditions (e.g. sunlight, cloud backscatter) must be further improved in order to be able to measure well above cloud cover. The potential for further development is foreseen even if the accuracy required for flight data systems (~0.5 K) has not yet been achieved at a temperature measurement rate of 2 Hz. "

A Wizard of Oz Study of Guidance Strategies and Dynamics.

Co-adaptive guidance in visual analytics is a mixed-initiative process in which both the user and the system work together to support each other in solving a given analysis task. While previous studies show the effectiveness of guidance, the impact of guidance design decisions (e.g., the suggestions' timing, contextualization, or adaptation) and misguidance often remain under-investigated. To investigate these aspects and examine a variety of guidance interaction patterns in a realistic analysis scenario, we present a Wizard of Oz (WOz) study setup in which pairs of participants take the user's and the system's roles, respectively. As users perform their analysis tasks, they are observed by wizards who provide just-in-time guidance as they see fit. Moreover, we designed the study so that wizards would occasionally and unknowingly provide misguidance during the analysis to investigate the users' confidence in guidance systems. We recruited two groups of participants (12 wizards and 12 users) and paired each participant with two from the other group, obtaining 48 observations. We report insights on interactions between users and wizards. By analyzing these interaction dynamics and the guidance strategies the wizards apply, we derive recommendations for implementing and evaluating future co-adaptive guidance systems.

Incentive-compatible primary frequency response ancillary service market mechanism for incorporating diverse frequency support resources

Frequency vulnerability will be prominent in future low-inertia power systems with high renewable penetration, which calls for primary frequency response (PFR) services from a wide range of entities. The challenge, however, is to design effective and fair market mechanisms to incentivize diverse PFR resources. To this end, this paper proposes a PFR ancillary service market mechanism to ensure the security of frequency nadir and quasi-steady-state (QSS) frequency while providing equitable settlements to multiple PFR providers. First, bidding rules are designed for accurate depictions of dynamic performances from diverse PFR resources. Then, a PFR market-clearing model, incorporating frequency security constraints that explicitly express PFR providers' contributions, is developed to deploy sufficient PFR resources while maximizing social welfare. Finally, two unified marginal PFR prices are derived to reflect the scarcity of frequency support capabilities for maintaining frequency nadir and QSS frequency security, enabling fair settlements to successful bidders based on their contributions. Moreover, the pricing and settlement mechanism is theoretically proven incentive-compatible, ensuring the PFR market stability. Case studies verify the proposed PFR market's effectiveness in ensuring frequency security, providing fair incentives to diverse PFR providers, maintaining market stability, and supporting scalable implementations.

Analysis of anatomic location of burns inpatients in China from 2009 to 2018

BackgroundBurns cause serious physical and psychological harm to patients, placing a heavy burden on the global healthcare system. Our previous study detailed the epidemiological characteristics of burn injuries in Chinese inpatients from 2009 to 2018. Interestingly, the anatomic locations of burn injuries vary by gender, age, provinces, and outcomes among different causes. Therefore, this current study aims to analyze the characteristics of burn injuries in inpatients with various burn sites by collecting data in China from 2009 to 2018. This analysis will inform future healthcare system decisions and provide effective strategies.MethodsBurns inpatients from 196 hospitals across 31 provinces in China were included in the study, covering the period from 2009 to 2018. The data collected encompassed information on gender, age, etiology, regions, clinical outcomes, and anatomical locations of the injuries. Data analysis was conducted using Microsoft Excel 2007.ResultsFrom 2009 to 2018, a total of 333,995 burns inpatients were recorded. The most vulnerable parts to burns were multiple burn sites (230,090, 68.89%). Women were more susceptible to lower limb burns (15,608, 14%), while men were more prone to eye injuries (8,387, 3.37%) and hand burns (6,119, 2.75%). The age group of 0–10 years was the most vulnerable to burns across all body areas, including internal organs. In China, individuals aged 20–50 years were at a higher risk of head and neck burns compared to other age groups. The Han population showed increased vulnerability to eye injuries (2.12 times higher than minorities), respiratory tract issues (2.09 times higher than minorities), and trunk burns (1.83 times higher than minorities), while being less susceptible to internal organ injuries (0.23 times fewer than minorities) and lower limb burns (0.78 times fewer than minorities). The southwest region had the highest proportion of burns inpatients with burns affecting single body parts, whereas the eastern area had the highest rates of respiratory tract burns (0.85%) and multiple burn sites (80.64%). Scalding was identified as the most common cause of burns, while flame burns (769, 55.81%) and chemical burns (438, 47.35%) were the main causes of respiratory tract and internal organ injuries, respectively.ConclusionsThis study provides an initial description of characteristics of burns inpatients with various anatomic locations of burns in China over the past decade. Our findings will contribute to the most up-to-date clinical evidence database for healthcare planning and prevention initiatives in both China and other countries.

Original Insights Into Rock Slope Damage Processes Until Collapse From Passive Seismic Monitoring

AbstractWe performed a passive seismic monitoring of the La Praz ∼14,000 m3 unstable slope (French Alps) spanning over 10 years. During the last 6 months prior to collapse, we detected a clear 24% decrease in the slope's fundamental resonance frequency, f0, caused by a reduction in overall rock mass stiffness. The combined study of f0 and slope deformation suggested the alternating importance of sudden brittle failure processes versus more ductile phases with possible sliding. Seismic monitoring revealed slope damage that remained ambiguous or undetected with ground surface deformation monitoring, and highlighted critical periods with intense damage. Only some of these critical damage periods could be related to clear external forcing factors such as intense rainfall episodes. These new insights into rock slope's structural condition at depth represent an asset for future monitoring systems. Surface deformation and passive seismic stiffness tracking combined could reveal active slopes with ongoing damage processes.

Do Precipitation and Temperature Influence Perceptions of Urban Cleanliness?

Abstract This study explores the correlation between weather and the perception of urban cleanliness across the 47 largest cities in Spain. Utilizing survey data conducted by the national Consumers and Users Organization (OCU) in 2015, 2019, and 2023 to assess cleanliness perceptions, we analyze potential associations with precipitation and temperature recorded by weather stations of the Spanish Meteorological Agency. Additionally, we consider computed values of the De Martonne aridity index. The OCU data reveal regional disparities in perceived cleanliness quality. Higher cleanliness scores are obtained in cities located in the northern and north-central regions of Spain, characterized by humid and super-humid climates according to the De Martonne index. Conversely, lower cleanliness ratings are given to cities in the southern and eastern regions of Spain, where a Mediterranean climate and lower aridity index values prevail. In conducting a statistical analysis on the perception of cleanliness and variables related to precipitation and temperature, the results of the chi-square and linear correlation tests found no strong statistical correlation, although a tendency is observed. Cities with higher annual precipitation and lower values of average annual temperature tend to receive better cleanliness ratings, while drier and warmer cities exhibit the worst values of perceived urban cleanliness. Furthermore, our findings indicate that the Gompertz model effectively captures a strong statistical correlation in the relationship between cleanliness perception and the De Martonne index: As aridity increases, cleanliness perception decreases. These results are relevant for the development of future cleaning methods and systems, particularly in light of the climate change scenarios that are anticipated in the Mediterranean region due to warmer and drier conditions and, consequently, an increase in aridity.

Application of QPSO-BPSO in fault self-healing of distributed power distribution networks

With the widespread application of distributed power sources in distribution networks, fault self-healing technology has become the key to ensuring the reliability of power systems. The micro-grid ensures system stability with a three-layer structure, where the designed method handles optimization problems, achieving faster global search and optimal solutions. Agents develop targeted recovery strategies by understanding network load, which are then executed by higher-level agents to ensure that the optimal recovery command is implemented by the system. According to the research results, during peak load, the system successfully outputted 7 kilowatts and met the load demand through battery discharge, demonstrating its self-healing ability. The output analysis of photovoltaic and wind turbines showed that the system reasonably scheduled within 24 h according to the changes in solar energy and wind power. Based on the quantum behavior particle swarm optimization algorithm, the system has achieved lower active power loss and greater power supply capacity. Although the number of switch operations has increased, the system performance has significantly improved, meeting the requirements for improving system economy and safety. It has promoting effects on the sustainable development of future power systems.

P-179 The impact of cytoplasmic strings: morphological analysis of the embryo development and quality

Abstract Study question This study aimed to investigate the influence of cytoplasmic strings (CSs) on the development and quality of the embryo. Summary answer Blastocysts with CSs exhibited accelerated development from t7 to the tB stage and a higher rate of good-quality on day 5. What is known already Time-lapse (TL) culture during in vitro fertilization is an established method for evaluating the morphological and morphokinetic features of embryos. CSs, identified through TL culture, are among the characteristics of developing embryos. Although the impact of CSs on embryo quality is recognized, their specific functions in human embryos remain unclear. Study design, size, duration This retrospective study was conducted from January 2022 to December 2022. A total of 1050 injected oocytes were cultured in the EmbryoScope® (Vitrolife),with images captured every 20 minutes for 5-6 days. CSs are observed the straight lines connecting the inner cell mass to the mural trophectoderm. On days 5-6, the presence of CSs was assessed in 610 blastocysts. Participants/materials, setting, methods The evaluation of differences in development rate and quality related to CSs was conducted using morphological or morphokinetic parameters: the time to second polar body extrusion (tPB2), time to pronuclei appearance and fading (tPNa, tPNf), time to reach 2–8 cells (t2, t3, t4, t5, t6, t7, t8, t9), time to the start of blastulation and blastocyst formation (tSB, tB). Statistical analysis employed Student’s t-test for developmental time and the Chi-square test for quality comparisons. Main results and the role of chance Blastocysts were categorized into Group 1 if they had CSs and Group 2 if they lacked CSs. No differences in developmental rates between the groups were observed until the t6 stage. However, from t7, the pre-cleavage stage, to the tB stage, the Group 1 exhibited a significantly faster developmental compared to the Group 2 (t7: 56.97h vs. 58.82h, p = 0.013; t8: 61.68h vs. 63.39h, p = 0.049; t9: 72.05h vs. 74.63h, p = 0.001; tSC: 82.32h vs. 85.56h, p < 0.001; tM: 92.60h vs. 95.48h, p < 0.001; tSB: 105.11h vs. 107.57h, p = 0.004 and tB: 114.73h vs.117.97h, p = 0.001). In examining of good-quality embryos (GQE) on day 5(≥ grade BB), there was a notable association in Group 1, demonstrating 71.6% compared to 28.4% in the Group 2 (p < 0.001).These findings indicate a positive correlation between the presence of CSs and embryo developmental progress and quality. Limitations, reasons for caution The determination of CSs relies on visual evaluation, containing the potential for subjective bias. Future research requires an automated time course monitoring system for more objective methods for identifying CSs to improve accuracy. Wider implications of the findings This research has advanced our comprehension of the impact of CSs on embryonic development. Moreover, the evaluation of CSs features suggests the possibility of their introduction as novel morphological parameter in future embryonic grading systems. Trial registration number Not Applicable

A journey from users' experience to their expectations in the realm of future advanced driver assistance systems

ABSTRACT Perhaps the most difficult aspect of implementing an advanced driver assistance system into a vehicle is making it fully customizable. Several driver-specific customization challenges must be met in the cabin. Comfort, variety, and individualized organization of the user's possessions are all within the reach of some systems. Advanced driver assistance systems were the focus of this study, specifically the user's interface with the vehicle. To gauge current knowledge and anticipations for future driver assistance technologies, we administered questionnaires and conducted user-focused interviews with 38 individuals across India. The study's limited scope did provide a few interesting avenues for further investigation. The results of the study reveal that users have demonstrated a larger dependence on advanced driver assistance systems (ADAS) in terms of safety considerations in relation to the current driving experience. In addition, they are particularly interested in the numerous in-vehicle facility features that are available with existing ADAS, and at the same time, they are looking forward to having personalized ADAS for their fleet in the future.

Oral Insulin Delivery: A Review on Recent Advancements and Novel Strategies.

Due to the lifestyle of people in the community in recent years, the prevalence of diabetes mellitus has increased, so New drugs and related treatments are also being developed. One of the essential treatments for diabetes today is injectable insulin forms, which have their problems and limitations, such as invasive and less admission of patients and high cost of production. According to the mentioned issues, Theoretically, Oral insulin forms can solve many problems of injectable forms. Many efforts have been made to design and introduce Oral delivery systems of insulin, such as lipid-based, synthetic polymer-based, and polysaccharide-based nano/microparticle formulations. The present study reviewed these novel formulations and strategies in the past five years and checked their properties and results. According to peer-reviewed research, insulin-transporting particles may preserve insulin in the acidic and enzymatic medium and decrease peptide degradation; in fact, they could deliver appropriate insulin levels to the intestinal environment and then to blood. Some of the studied systems increase the permeability of insulin to the absorption membrane in cellular models. In most investigations, in vivo results revealed a lower ability of formulations to reduce BGL than subcutaneous form, despite promising results in in vitro and stability testing. Although taking insulin orally currently seems unfeasible, future systems may be able to overcome mentioned obstacles, making oral insulin delivery feasible and producing acceptable bioavailability and treatment effects in comparison to injection forms.

The REPowerEU policy’s impact on the Nordic power system

Energy system models provide us with scenarios for the future energy system, supporting our understanding of the impact of societal changes and adopted policies. To front-load the EU’Fit for 55’ package for 2030 and targets of replacing imported natural gas with renewable electricity, the Nordic countries could contribute by exporting additional electricity to mainland Europe. This paper describes a comparative study including five energy system models – GENeSYS-MOD, ON-TIMES, IFE-TIMES-Norway, highRES, and IntERACT, exploring two decarbonisation scenarios leading up to 2050. The scenarios involved simulating an additional 30 TWh electricity export requirement from 2030. Key findings include Denmark and Norway emerging as major net exporters, with Denmark covering over 60% of the additional export. The models predict that 76%–82% of the new electricity production will come from wind power, split between onshore and offshore installations, highlighting significant investment requirements. These results underscore the Nordic countries’ capacity to support the EU’s renewable energy targets, with wind power being pivotal. This research offers a broad overview over different modelling tools and their behavior and provides critical insights for policymakers, stressing the need for coordinated Nordic efforts to maximize the benefits of increased electricity exports while ensuring energy system stability and cost-efficiency.

Understanding adoption intention of virtual medical consultation systems: Perceptions of ChatGPT and satisfaction with doctors

This study examined the impact of perceptions of ChatGPT, the leading AI chatbot since November 2022, on the acceptance and perceived efficacy of future GPT-powered virtual medical consultation systems (GPT-VMCSs), as well as their influence on the propensity to adopt such systems amid debates over their suitability for medical consultations. By utilizing the technology acceptance model (TAM), this study differentiated between perceptions of ChatGPT and GPT-VMCS by assessing how these perceptions, along with doctor satisfaction, resistance, and ChatGPT usage, affect adoption intentions. Among the 2150 participants from 21 countries, 1038 who had used ChatGPT or observed its use were selected for hypothesis testing. The results indicated that the perceived usefulness (PU) of the GPT-VMCS was the strongest predictor of adoption intentions, with the perceived ease of use (PEOU) also playing a critical role. In contrast, resistance, which was positively influenced by doctor satisfaction, was negatively associated with adoption intentions. The quality of ChatGPT responses was positively correlated with GPT-VMCS PU, although direct usage of ChatGPT did not significantly affect adoption intentions. The study concludes with a discussion of both theoretical and practical implications.