Global Cost Research Articles

Implementing high-value, cost-conscious care: experiences of Irish doctors and the role of education in facilitating this approach

BackgroundAdopting high-value, cost-conscious care (HVCCC) principles into medical education is growing in importance due to soaring global healthcare costs and the recognition that efficient care can enhance patient outcomes and control costs. Understanding the current opportunities and challenges doctors face concerning HVCCC in healthcare systems is crucial to tailor education to doctors’ needs. Hence, this study aimed to explore medical students, junior doctors, and senior doctors’ experiences with HVCCC, and to seek senior doctors’ viewpoints on how education can foster HVCCC in clinical environments.MethodsUsing a mixed-methods design, our study involved a cross-sectional survey using the Maastricht HVCCC-Attitude Questionnaire (MHAQ), with a subset of consultants engaging in semi-structured interviews. Descriptive analysis provided insights into both categorical and non-categorical variables, with differences examined across roles (students, interns, junior doctors, senior doctors) via Kruskal-Wallis tests, supplemented by two-group analyses using Mann-Whitney U testing. We correlated experience with MHAQ scores using Spearman’s rho, tested MHAQ’s internal consistency with Cronbach’s alpha, and employed thematic analysis for the qualitative data.ResultsWe received 416 responses to the survey, and 12 senior doctors participated in the semi-structured interviews. Overall, all groups demonstrated moderately positive attitudes towards HVCCC, with more experienced doctors exhibiting more favourable views, especially about integrating costs into daily practice. In the interviews, participants agreed on the importance of instilling HVCCC values during undergraduate teaching and supplementing it with a formal curriculum in postgraduate training. This, coupled with practical knowledge gained on-the-job, was seen as a beneficial strategy for training doctors.ConclusionsThis sample of medical students and hospital-based doctors display generally positive attitudes towards HVCCC, high-value care provision, and the integration of healthcare costs, suggesting receptiveness to future HVCCC training among students and doctors. Experience is a key factor in HVCCC, so early exposure to these concepts can potentially enhance practice within existing healthcare budgets.

Using miscanthus and biochar as sustainable substrates in horticulture: An economic and carbon footprint assessment of their primary and cascading value chains

Conventional substrates like peat, stone wool and coconut coir are responsible for high greenhouse gas emissions in the horticultural sector, necessitating low-emission and cost-efficient alternatives. Herein, using miscanthus and biochar as substrate components as well as in cascading substrate application can be alternative practices in a sustainable bioeconomy. However, the carbon footprint and economic impacts of these practices in relation to crop yields have not yet been investigated. Hence, we combined life cycle carbon footprint assessment and costing to analyze the Global Warming Potential and value chain costs of horticultural substrates in tomato cultivation in North-Rhine Westphalia. We conducted a comparison between conventional substrates (peat, stone wool, and coconut coir) and single use and cascading miscanthus-based substrates with and without 1–2 % biochar addition of the miscanthus mass. Also, a subsequent scenario analysis was carried out to examine alterations in inputs and costs.Our results demonstrate that miscanthus-based substrates are climate-friendly and low-cost alternatives to the conventional practices. Switching to miscanthus-based substrates results in more emission savings than other input scenarios investigated. Additionally, incorporating biochar and adopting cascading methods contribute to lower emissions. Notably, biochar has the most significant impact, as its amount correlates with higher emission reductions. Additionally, costs for cascading miscanthus-based substrates are lower compared to conventional substrates. Overall, there is only a slight variance in costs between conventional and miscanthus-based substrates. However, with the introduction of carbon emission pricing and carbon removal certificates, miscanthus-based and biochar-containing substrates may emerge as more cost-efficient alternatives. Thus, by advancing financial instruments on carbon emissions and removal, introducing cascade use within and beyond the horticulture sector, and supporting cultivation of sustainable biomasses, miscanthus and biochar can effectively contribute to the development of a sustainable bioeconomy.

Effects of Pycnogenol® in people with post-COVID-19 condition (PYCNOVID): study protocol for a single-center, placebo controlled, quadruple-blind, randomized trial

BackgroundA significant proportion of the global population has been infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at some point since the onset of the pandemic. Although most individuals who develop coronavirus disease 2019 (COVID-19) recover without complications, about 6% have persistent symptoms, referred to as post-COVID-19 condition (PCC). Intervention studies investigating treatments that potentially alleviate PCC-related symptoms and thus aim to mitigate the global public health burden and healthcare costs linked to PCC are desperately needed. The PYCNOVID trial investigates the effects of Pycnogenol®, a French maritime pine bark extract with anti-inflammatory and antioxidative properties, versus placebo on patient-reported health status in people with PCC.MethodsThis is a single-center, placebo-controlled, quadruple blind, randomized trial. We aim to randomly assign 150 individuals with PCC (1:1 ratio) to receive either 200 mg Pycnogenol® or placebo daily for 12 weeks. Randomization is stratified for duration of PCC symptoms (≤ 6 months versus > 6 months) and presence of symptomatic chronic disease(s). The primary endpoint is perceived health status at 12 weeks (EuroQol—Visual Analogue Scale) adjusted for baseline values and stratification factors. Secondary endpoints include change in self-reported PCC symptoms, health-related quality of life, symptoms of depression and anxiety, cognitive function, functional exercise capacity, physical activity measured with accelerometry, and blood biomarkers for endothelial health, inflammation, coagulation, platelet function, and oxidative stress. Investigators, study participants, outcome assessors, and data analysts are blinded regarding the intervention assignment. Individuals with PCC were involved in the design of this study.DiscussionThis is the first trial to investigate the effects of Pycnogenol® versus placebo on patient-reported health status in people with PCC. Should the trial proof clinical effectiveness, Pycnogenol® may serve as a therapeutic approach to mitigate symptoms associated with PCC.Trial registrationThe study is registered at ClinicalTrials.gov. :NCT05890534, June 6, 2023.

Robust fixed-time distributed optimization with predefined convergence-time bound

This paper introduces a distributed optimization scheme for achieving formation control in multi-agent systems operating under switching networks and external disturbances. The proposed approach utilizes the zero-gradient sum property and consists of two steps. First, it guides each agent towards the minimizer of its respective local cost function. Subsequently, it achieves a formation around the minimizer of the global cost function. The distributed optimization scheme guarantees convergence before a predefined time, even under simultaneous switching networks and external disturbances, distinguishing it from existing finite and fixed-time schemes. Moreover, the algorithm eliminates the need for agents to exchange local gradients or Hessians of the cost functions or even prior knowledge of the number of agents in the network. Additionally, the proposed scheme copes with external disturbances using integral sliding modes. The scheme’s effectiveness is validated through an application to distributed source localization, for which several numerical results are provided.

Scheduling optimization model for linear projects with resource transfer in diverse construction scenarios

Studies on linear engineering projects often overlook complex construction scenarios, neglecting global resource quantities, transfer time and cost during resource deliberation. This study addresses these gaps by employing a linear scheduling method and a multi-mode resource-constrained project model. The decision variables of the model include the construction mode, construction direction, activity priority and global resource amounts, considering linear, bar and block construction scenarios. A hybrid algorithm combining the non-dominated sorting genetic algorithm-III with differential evolution is proposed for model resolution, featuring hierarchical, multi-strategy, adaptive crossover and mutation operators. Sensitivity analysis and case studies demonstrate the effectiveness and superiority of the model and algorithm. According to the study, the unit cost of resource transfer significantly influences the optimization result more than the unit time; the optimizing cost has an upper bound; and linear projects scheduling optimization with resource transfer are more realistic and provide a better trade-off between time and cost.

Global Challenges and Economic Feasibility in Achieving 100% Renewable Energy

Abstract: This study aims to investigate the global transition towards 100% renewable energy (RE) grids while analyzing associated challenges and economic prospects. The scientific aim of the work is to examine national and regional plans, revealing shared research challenges such as neglect of system stability, reliance on specific RE sources, and limitations on capacity share growth. The subject of the research was to obtain insights into the economic feasibility of this transition, underscored by projections of creating 24.3 million new jobs by 2050 and substantial annual savings in air pollution and environmental costs. This study extends the existing research by analyzing promising examples from countries like Norway and Costa Rica, demonstrating diverse approaches with hydropower playing a pivotal role, while Canada and New Zealand showcase adaptability based on local resources. Addressing key research challenges, from technological uncertainties to socio-economic considerations, the paper emphasizes the need for robust policies and infrastructure development. Despite challenges, the transition promises economic benefits, with estimated annual savings in healthcare and global warming costs. The literature and global examples affirm the technical and financial feasibility of transitioning to 100% RE. In conclusion, this paper contributes to understanding the intricate economic and technological landscape of achieving a sustainable global energy transition.

Impacts of heavy-duty electric trucks on flexible pavements

ABSTRACT The transportation sector is responsible for significant greenhouse gas (GHG) emissions, with medium- and heavy-duty trucks (MHDTs) being major contributors. In response, medium- and heavy-duty electric trucks (MHDETs) are being explored as zero-emission alternatives. However, the weight of high-capacity batteries needed for long-haul trips and heavy loads could increase the axle loads as well as the gross vehicle weight (GVW) of heavy-duty electric trucks (HDETs), leading to extra damage on flexible highway pavements. This study simulated the GVW increment of HDETs and assessed its effects on pavement damage, environmental impacts, and life-cycle costs of four typical highway pavement structures in Illinois (known as thick–weak, thick–strong, thin–weak, and thin–strong). The utilisation of electric trucks resulted in significant reductions in diesel combustion related global warming potential (GWP) emissions and costs (in $2022) by 73% and 11.5%, respectively. However, the results demonstrated that with a 100% penetration of HDETs carrying an additional weight of 8 kips per truck, the pavement deterioration accelerated compared to traffic with conventional trucks. As a consequence, GWP and costs were reduced by 69% and 10.6%, respectively.

THE CHANGES IN ENSURING THE MILITARY SECURITY ACTIONS

The security and military-strategy landscape of countries worldwide is undergoing significant changes. Following these changes, traditional hard power policies have evolved in terms of content and manifestation, giving rise to the concept of a "New cold war." This new approach utilizes information technology, economic actions, and political pressure methods and tactics, significantly decreasing the budget and costs associated with traditional warfare. The new Cold War approach emphasizes the use of new technologies, information space, and political and economic actions. As global defense costs rise, the strategy's content and objectives are constantly evolving. The traditional hard power policy has evolved into a new Cold War. This article will specifically consider the new trends in the changes in military affairs and I will provide my opinion and conclusions. The initial phase of the emerging Cold War is primarily unfolding in the realm of information in cyberspace. It focused on strategically targeting social and political arenas with goal of the weakening the societal and economic structures. The countries around the world view basis of the potential threats as information warfare, psychological operations, economic coercion, internal governance challenges, transnational criminal organizations, and environmental degradation influenced by external factors. In this reason, the military strategy and security policy will prioritize anticipating and preventing risks. The science of security has evolved to focus on potential challenges and risks, regulating development policies to ensure existence. Due to these evolving factors, the field of security has transformed into a science of Security of existence, with a greater emphasis on anticipating challenges and risks and shaping development policies.

Advancements in hydrogen energy systems: A review of levelized costs, financial incentives and technological innovations

Hydrogen energy systems (HES) are increasingly recognized as pivotal in cutting global carbon dioxide (CO2) emissions, especially in transportation, power generation, and industrial sectors. This paper offers a comprehensive review of HES, emphasizing their diverse applications and economic viability. By 2030, hydrogen energy is expected to revolutionize various sectors, significantly impacting CO2 abatement and energy demand. In electricity and power generation, hydrogen could reduce CO2 emissions by 50–100 million tons annually, requiring 10–20 million tons of hydrogen and an investment of $50–100 billion, underscoring its role in grid stabilization. Additionally, in the heating sector, hydrogen could facilitate a CO2 abatement of 30–50 million tons. We examine the levelized cost of hydrogen (LCOH) production, influenced by factors like production methods, efficiency, and infrastructure. While steam methane reforming is cost-effective, it poses a larger environmental impact compared to electrolysis. The global life-cycle cost of hydrogen production decreases as production scales up, with current costs ranging from $1–3 per kg for fossil-based sources to $3.4–7.5 per kg for electrolysis using low-emission electricity. These costs are projected to decrease, especially for electrolytic hydrogen in regions with abundant solar energy. However, despite the technical feasibility of decarbonization, high production costs still pose challenges. A systematic and effective transition to a hydrogen economy requires comprehensive policy and financial support mechanisms, including incentives, subsidies, tax measures, and funding for research and development of pilot projects. Additionally, the paper discusses hydrogen's role in advanced storage technologies such as hydrides and Japan's ENE-FARM solution for residential energy, emphasizing the need for strategic investments across the hydrogen value chain to enhance HES competitiveness, reduce LCOH, and advance the learning rates of hydrogen production technologies.

Bilingualism and flexibility in task switching

Abstract This study aimed to closely replicate Wiseheart et al. (Bilingualism: Language and Cognition, 19(1), 141–146, 2016) by investigating the transferability of language-switching skills to nonlinguistic task switching. Current evidence is mixed and there is a need to conduct robust replications in this area. Bilingual (n = 31) and monolingual (n = 47) young adults characterized stimuli by either colour or shape based on a given cue. Modifications include online data collection (as opposed to in-person) and adapting the nonverbal intelligence test used. All other aspects of the study mirror those by Wiseheart et al. Results indicate that the bilinguals exhibited better cognitive flexibility in task switching, as evidenced by a reduced global switch cost compared with monolinguals. In contrast, mixed evidence was found for local switch costs. Findings mirror those reported by Wiseheart et al. and suggest that by employing comparable task-switch paradigms and recruiting samples matched on several key variables, including age, gender, variety of languages spoken, and use of English, bilingualism does seem to confer broader executive function advantages. Findings are discussed in relation to theoretical implications to inform future replication studies and advance the bilingual advantage in the switching debate.

Effective cost management strategies in global supply chains

This review paper explores effective cost management strategies within global supply chains, highlighting the necessity for businesses to adapt and innovate in response to complex logistical operations, economic fluctuations, and geopolitical risks. It delves into strategic sourcing and procurement, inventory management techniques such as Just-In-Time (JIT) systems, logistics and transportation optimization, and the pivotal role of technology and automation in enhancing efficiency and reducing costs. The paper identifies gaps in current literature, particularly the need for more research on sustainable practices and risk management strategies. Recommendations for practical implementation are provided, emphasizing flexibility, resilience, and the importance of leveraging technology. Future research directions are suggested to further understand the dynamics of global supply chain cost management and the integration of sustainability practices. Keywords: Global Supply Chain, Cost Management, Strategic Sourcing, Inventory Management, Supply Chain Technology, Risk Management.

Addressing Knowledge Gaps on Surgical Site Infections: A Multi-Center Study in District Hospitals of Khyber Pakhtunkhwa, Pakistan

Background: Surgical site infections (SSIs) pose significant global health challenges, increasing mortality and healthcare costs. Effective prevention of SSIs is imperative for ensuring patient safety and maintaining high-quality surgical care standards. Objective: To evaluate the knowledge levels of SSIs and associated wound infection risks among surgical staff in district hospitals throughout Khyber Pakhtunkhwa, Pakistan. Methods: A comprehensive 20-item multiple-choice questionnaire was developed collaboratively with certified surgeons and based on extensive literature review. The survey assessed knowledge concerning SSIs and related risk factors among a diverse group of surgical staff, including consultants, specialists, residents, and medical interns, at various district hospitals. Results: Out of 250 participants, the distribution by job role was as follows: 132 interns (52.8%), 50 resident doctors (20%), 20 surgical technologists (8%), 33 surgical technicians (13.2%), and 15 specialist doctors (6%). Overall, 113 participants (45.2%) correctly identified the definition of an SSI. Regarding knowledge levels, 50 participants (20%) demonstrated good knowledge, 166 (66.4%) had fair knowledge, and 34 (13.6%) showed poor knowledge about SSIs. Conclusion: The study identifies critical gaps in the knowledge of surgical staff at district hospitals in Khyber Pakhtunkhwa concerning SSIs. These findings underline the necessity for targeted educational interventions to elevate knowledge levels, enhance patient safety, and advance infection control practices.

The rising global economic costs of invasive Aedes mosquitoes and Aedes-borne diseases

Invasive Aedes aegypti and Aedes albopictus mosquitoes transmit viruses such as dengue, chikungunya and Zika, posing a huge public health burden as well as having a less well understood economic impact. We present a comprehensive, global-scale synthesis of studies reporting these economic costs, spanning 166 countries and territories over 45 years. The minimum cumulative reported cost estimate expressed in 2022 US$ was 94.7 billion, although this figure reflects considerable underreporting and underestimation. The analysis suggests a 14-fold increase in costs, with an average annual expenditure of US$ 3.1 billion, and a maximum of US$ 20.3 billion in 2013. Damage and losses were an order of magnitude higher than investment in management, with only a modest portion allocated to prevention. Effective control measures are urgently needed to safeguard global health and well-being, and to reduce the economic burden on human societies. This study fills a critical gap by addressing the increasing economic costs of Aedes and Aedes-borne diseases and offers insights to inform evidence-based policy.

Trade costs and the integration of British West Africa in the global economy, c. 1840–1940

AbstractDespite the essential role of trade for African economies, in the extensive literature on the historical evolution of international trade costs, Africa is still missing. In this article, we contribute to filling this gap by (1) providing the first estimates of British West Africa's trade costs with Britain c. 1840–1940 by computing relative price gaps in a representative sample of African export and European import prices, and (2) analysing the main determinants of trade costs trends, by regressing price gaps on measures of transport costs, market efficiency, and trade barriers. The results uncover a diverging pattern in African and global trade costs trends, which was not noticed in the previous literature. British West Africa experienced a reduction in its trade costs with Britain c. 1840–70, similar to the one we observe in other world areas, thanks to improvements in shipping technology and market efficiency. From the late 1870s, however, as colonial monopsonistic trading companies consolidated their control of African export markets, trade costs continued to decline in the rest of the world, but not in British West Africa. Consequently, from the late nineteenth century, trade for West Africa became relatively more expensive than for other world regions.

The 2022 symposium on dementia and brain aging in low- and middle-income countries: Highlights on research, diagnosis, care, and impact.

Two of every three persons living with dementia reside in low- and middle-income countries (LMICs). The projected increase in global dementia rates is expected to affect LMICs disproportionately. However, the majority of global dementia care costs occur in high-income countries (HICs), with dementia research predominantly focusing on HICs. This imbalance necessitates LMIC-focused research to ensure that characterization of dementia accurately reflects the involvement and specificities of diverse populations. Development of effective preventive, diagnostic, and therapeutic approaches for dementia in LMICs requires targeted, personalized, and harmonized efforts. Our article represents timely discussions at the 2022 Symposium on Dementia and Brain Aging in LMICs that identified the foremost opportunities to advance dementia research, differential diagnosis, use of neuropsychometric tools, awareness, and treatment options. We highlight key topics discussed at the meeting and provide future recommendations to foster a more equitable landscape for dementia prevention, diagnosis, care, policy, and management in LMICs. HIGHLIGHTS: Two-thirds of persons with dementia live in LMICs, yet research and costs are skewed toward HICs. LMICs expect dementia prevalence to more than double, accompanied by socioeconomic disparities. The 2022 Symposium on Dementia in LMICs addressed advances in research, diagnosis, prevention, and policy. The Nairobi Declaration urges global action to enhance dementia outcomes in LMICs.

Explainable AI Empowered Resource Management for Enhanced Communication Efficiency in Hierarchical Federated Learning

In the rapidly advancing landscape of machine learning, Federated Learning (FL) stands as a transformative paradigm, preserving data privacy and overcoming challenges in training models. Existing FL research has primarily concentrated on refining the learning process, often overlooking the critical aspect of minimizing communication costs, especially for clients with limited resources. This article introduces a groundbreaking approach, Explainable AI Empowered Resource Management for Enhanced Communication Efficiency in Hierarchical Federated Learning (XRM-HFL). XRM-HFL utilizes an explainable AI-driven resource management strategy, precisely predicting computational resource requirements. The hierarchical framework minimizes communication burdens by assigning communication with the cloud server to a designated Node Controller (NC) via edge aggregation. Empirical evaluations demonstrate that XRM-HFL outperforms prior methods, facilitating efficient communication, resource utilization, and faster convergence. The model exhibits notable decreases in intercommunication expenses, global costs, failure nodes, and execution time, along with an increase in resource utilization. XRM-HFL provides resource-constrained clients with an effective solution for federated learning, minimizing costs while preserving model accuracy.

Country-Specific External Costs of Abiotic Resource Use Based on User Cost Model in Life Cycle Impact Assessment.

Abiotic resources are indispensable in society, but there are concerns regarding their depletion, scarcity, and increasing prices, resulting in potential economic damage in the future. To address these concerns, it is effective to consider the external costs of resource use. Although resource availability is different among mining sites, and local conditions are relevant in assessing resource scarcity, previous studies have assessed external costs and potential impacts of abiotic resource use globally. This study provides country-specific characterization factors (CFs) of abiotic resource use in life cycle impact assessment based on the user cost model, which represents the external costs of abiotic resource use to reflect country-specific resource scarcity. We demonstrate considerable variations in the CFs depending on the mining country, suggesting that the choice of mining country can affect external costs. The global external cost of abiotic resource use in 2020 was estimated at 1.9 trillion $, with a major contribution from the extraction of fossil fuels in the United States. Historical trends of the CFs and relevant parameters showed temporal fluctuations, emphasizing the importance of regularly updating the data underlying the calculation of the CFs. Country-level assessments of the external costs of resource use can contribute to discussions on the responsibilities of consuming countries by incorporating material footprint studies.

Molecular Dynamics Simulation of Kir6.2 Variants Reveals Potential Association with Diabetes Mellitus.

Diabetes mellitus (DM) represents a problem for the healthcare system worldwide. DM has very serious complications such as blindness, kidney failure, and cardiovascular disease. In addition to the very bad socioeconomic impacts, it influences patients and their families and communities. The global costs of DM and its complications are huge and expected to rise by the year 2030. DM is caused by genetic and environmental risk factors. Genetic testing will aid in early diagnosis and identification of susceptible individuals or populations using ATP-sensitive potassium (KATP) channels present in different tissues such as the pancreas, myocardium, myocytes, and nervous tissues. The channels respond to different concentrations of blood sugar, stimulation by hormones, or ischemic conditions. In pancreatic cells, they regulate the secretion of insulin and glucagon. Mutations in the KCNJ11 gene that encodes the Kir6.2 protein (a major constituent of KATP channels) were reported to be associated with Type 2 DM, neonatal diabetes mellitus (NDM), and maturity-onset diabetes of the young (MODY). Kir6.2 harbors binding sites for ATP and phosphatidylinositol 4,5-diphosphate (PIP2). The ATP inhibits the KATP channel, while the (PIP2) activates it. A Kir6.2 mutation at tyrosine330 (Y330) was demonstrated to reduce ATP inhibition and predisposes to NDM. In this study, we examined the effect of mutations on the Kir6.2 structure using bioinformatics tools and molecular dynamic simulations (SIFT, PolyPhen, SNAP2, PANTHER, PhD&SNP, SNP&Go, I-Mutant, MuPro, MutPred, ConSurf, HOPE, and GROMACS). Our results indicated that M199R, R201H, R206H, and Y330H mutations influence Kir6.2 structure and function and therefore may cause DM. We conclude that MD simulations are useful techniques to predict the effects of mutations on protein structure. In addition, the M199R, R201H, R206H, and Y330H variant in the Kir6.2 protein may be associated with DM. These results require further verification in protein-protein interactions, Kir6.2 function, and case-control studies.

Medium-Entropy Monosilicates Deliver High Corrosion Resistance to Calcium-Magnesium Aluminosilicate Molten Salt.

For decreasing the global cost of corrosion, it is essential to understand the intricate mechanisms of corrosion and enhance the corrosion resistance of materials. However, the ambiguity surrounding the dominant mechanism of calcium-magnesium aluminosilicate (CMAS) molten salt corrosion in extreme environments hinders the mix-and-matching of the key rare earth elements for increasing the resistance of monosilicates against corrosion of CMAS. Herein, an approach based on correlated electron microscopy techniques combined with density functional theory calculations is presented to elucidate the complex interplay of competing mechanisms that control the corrosion of CMAS of monosilicates. These findings reveal a competition between thermodynamics and kinetics that relies on the temperatures and corrosion processes. Innovative medium-entropy monosilicates with exceptional corrosion resistance even at 1500°C are developed. This is achieved by precisely modulating the radii of rare earth ions in monosilicates to strike a delicate balance between the competition in thermodynamics and kinetics. After 50 and 100h of corrosion, the thinnest reactive layers are measured to be only 28.8 and 35.4µm, respectively.

Communication topology for AUV formation consensus based on optimal cost control under time-varying communication and input delays

This study investigates the optimal communication topology for consensus in autonomous underwater vehicle (AUV) formations, considering both leader-following and leaderless scenarios. Initially, a second-order dynamic model of the AUV is established using the feedback linearization method. To address time-varying delays, a universal predictor-based consensus protocol is introduced, capable of operation with or without a designated leader. Subsequently, two global quadratic cost functions are formulated based on distinct consensus errors. Utilizing linear quadratic regulator (LQR) theory and matrix theory, the optimal communication topologies and associated gain matrices are deduced. Specifically, for leader-following AUV formations, the optimal communication topology is identified as an unevenly weighted star-shaped directed spanning tree. Conversely, for leaderless formations, the optimal topology adopts a complete digraph, which indicates high interaction requirements. To accommodate practical constraints, a suboptimal topology is devised, featuring a directed spanning tree. These findings offer a theoretical framework for selecting communication topologies in AUV formations, with numerical examples provided to validate the proposed approaches.