Additional Complexity Research Articles

Enhancing Erasure Resilience in Reed-Solomon Codes: Theory and Applications in Data Storage Systems

Reed-Solomon (RS) codes are widely utilized in data storage and communication systems due to their robust error detection and correction capabilities. However, traditional RS codes encounter challenges in addressing the increasing data corruption rates demanded by modern storage systems. This paper aims to overcome these limitations by modifying and extending the structure of traditional RS codes, particularly enhancing their recovery capabilities in the face of significant data loss. We begin by reviewing the theoretical foundations of RS codes and existing extension methods and discussing emerging technologies integrated into RS codes. We then present detailed methodologies for RS code encoding, erasure recovery mechanisms, soft decision decoding, and interleaving coding techniques, followed by a series of experiments designed to test the proposed methods. The experimental results indicate that soft-decision decoding outperforms traditional hard-decision decoding under high signal-to-noise ratio conditions, albeit with increased computational complexity as the list of candidate codewords grows. Interleaved Reed-Solomon (IRS) coding offers improved performance under low signal-to-noise ratio conditions but may introduce additional system complexity due to the interleaving and deinterleaving processes. We conclude with a summary of the research findings, a discussion of the study’s limitations, and suggestions for future research directions.

Urban Air Mobility Passengers’ Profiling: Evidence from Milan Airports, Italy

Urban air mobility (UAM) is expected to offer new travel options for passengers to and from airports in the near future, despite uncertainties associated with regulatory issues, environmental concerns, and societal impacts. This paper analyzes the socioeconomic and behavioral factors that could influence users’ modal choices (including UAM services) for accessing and egressing airports. Using revealed and stated preference data collected at Milan airports (Italy), mixed logit and hybrid choice modeling specifications are estimated and compared with profile potential UAM passengers. Our findings suggest that the level of service, socioeconomic factors, and trip-related variables explain passengers’ choices better than latent traits such as fear of flying, propensity for technological advances, and expectations about the safety of UAM services. In other words, the additional complexity of hybrid choice modeling is not justified by the slight gain in likelihood compared with the estimated mixed logit model. The results also indicate that high-income individuals traveling for business purposes are the most likely demand segment to use UAM services, at least initially. Moreover, highly educated individuals and employees who have their travel expenses reimbursed for work trips are less likely to choose UAM services for airport access or egress, preferring traditional ground taxis.

Evaluating robo-advisors through behavioral finance: a critical review of technology potential, rationality, and investor expectations

The mini review assesses the value propositions of robo-advisors through the lens of behavioral finance. Despite their promise of data-driven, rational investment strategies, robo-advisors may not fully replicate the personalized service of human financial advisors or eliminate human biases in decision-making. A content analysis of 80 peer-reviewed articles and publications was conducted, focusing on the intersection of financial technology and behavioral finance. Literature was retrieved using The Chicago School University Library's OneSearch and the EBSCO host database, with key terms including “robo-advisor,” “investment behavior,” “risk tolerance,” “financial literacy,” and “affective trust.” The review identifies four key limitations of robo-advisors: (1) their inability to replicate the service-relationship of human advisors; (2) the presence of human bias in supposedly rational algorithms; (3) the inability to minimize market risk; and (4) their limited impact on improving users' financial literacy. Instead, robo-advisors temporarily compensate for a lack of financial knowledge through passive investment strategies. The findings suggest that integrating behavioral finance principles could enhance the predictive power of robo-advisors, though this would introduce additional complexities. The review calls for further research and regulatory measures to ensure that these technologies prioritize investor protection and financial literacy as they continue to evolve.

Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric Vehicles

The global electricity demand from electric vehicles (EVs) increased by 3631% over the last decade, from 2600 gigawatt hours (GWh) in 2013 to 97,000 GWh in 2023. The global electricity demand from EVs will rise to 710,000 GWh by 2030. These EVs will depend on smart grids (SGs) for their charging requirements. Like EVs, SGs are a booming market. In 2021, SG technologies were valued at USD 43.1 billion and are projected to reach USD 103.4 billion by 2026. As EVs become more prevalent, they introduce additional complexity to the SG landscape, with EVs not only consuming energy, but also potentially supplying it back to the grid through vehicle-to-grid (V2G) technologies. The entry of numerous independent sellers and buyers, including EV owners, into the market will lead to intense competition, resulting in rapid fluctuations in electricity prices and constant energy transactions to maximize profit for both buyers and sellers. Blockchain technology will play a crucial role in securing data publishing and transactions in this evolving scenario, ensuring transparent and efficient interactions between EVs and the grid. This survey paper explores key research challenges from an engineering design perspective of SG operation, such as the potential for voltage instability due to the integration of numerous EVs and distributed microgrids with fluctuating generation capacities and load demands. This paper also delves into the need for a synergistic balance to optimize the energy supply and demand equation. Additionally, it discusses policies and incentives that may be enforced by national electricity carriers to maintain grid reliability and manage the influx of EVs. Furthermore, this paper addresses emerging issues of SG technology providing primary charging infrastructure for EVs, such as incentivizing green energy, the technical difficulties in integrating diverse hetero-microgrids based on HVAC and HVDC technologies, challenges related to the speed of energy transaction processing during fluctuating prices, and vulnerabilities concerning cyber-attacks on blockchain-based SG architectures. Finally, future trends are discussed, including the impact of increased EV penetration on SGs, advancements in V2G technologies, load-shaping techniques, dynamic pricing mechanisms, and AI-based stability enhancement measures in the context of widespread SG adoption.

An evidence code for eritrea: a mass to fill the eritrean judicio-legislative vacuum or an additional complexity in trials?

An evidence code for eritrea: a mass to fill the eritrean judicio-legislative vacuum or an additional complexity in trials?

Distinct Regions within SAP25 Recruit O-Linked Glycosylation, DNA Demethylation, and Ubiquitin Ligase and Hydrolase Activities to the Sin3/HDAC Complex.

Sin3 is an evolutionarily conserved repressor protein complex mainly associated with histone deacetylase (HDAC) activity. Many proteins are part of Sin3/HDAC complexes, and the function of most of these members remains poorly understood. SAP25, a previously identified Sin3A associated protein of 25 kDa, has been proposed to participate in regulating gene expression programs involved in the immune response but the exact mechanism of this regulation is unclear. SAP25 is not expressed in HEK293 cells, which hence serve as a natural knockout system to decipher the molecular functions uniquely carried out by this Sin3/HDAC subunit. Using molecular, proteomic, protein engineering, and interaction network approaches, we show that SAP25 interacts with distinct enzymatic and regulatory protein complexes in addition to Sin3/HDAC. Additional proteins uniquely recovered from the Halo-SAP25 pull-downs included the SCF E3 ubiquitin ligase complex SKP1/FBXO3/CUL1 and the ubiquitin carboxyl-terminal hydrolase 11 (USP11). Furthermore, mutational analysis demonstrates that distinct regions of SAP25 participate in its interaction with USP11, OGT/TETs, and SCF(FBXO3). These results suggest that SAP25 may function as an adaptor protein to coordinate the assembly of different enzymatic complexes to control Sin3/HDAC-mediated gene expression. The data were deposited with the MASSIVE repository with the identifiers MSV000093576 and MSV000093553.

Differential quadrature lattice Boltzmann method for simulating fluid flows

In this study, a novel method for simulating incompressible flows using the lattice Boltzmann method is presented, aiming to improve robustness. This method is enhanced by the Qadyan numerical method. In the Qadyan method, Partial differential equations are solved using semi-discrete schemes combined with the differential quadrature method. To discretize the spatial derivatives of the lattice Boltzmann equation, the upwind differential quadrature method is employed, while the first-order forward difference scheme and/or fourth-order Runge-Kutta method handle the temporal term. The decision to exclude more complex methods stems from their requirement for refined computational grids. This work focuses on achievable results with similar types of uniform grids. The proposed scheme introduces and evaluates a novel method for solving both steady and unsteady problems. The present numerical method is validated by solving five benchmark problems, including heat diffusion on a slab, Stokes’ first problem, Taylor-Green vortex flow, flow around a flat plate, and flow in a lid-driven cavity. Reasonable agreements are obtained between the solutions obtained using this method and those from analytical/other numerical approaches. The Qadyan formulation delivers more accurate results compared to the finite-difference lattice Boltzmann method, (FDLBM), without requiring an increase in the number of grids. Notably, the novel Qadyan method achieves this increased accuracy without introducing additional complexity to the standard lattice Boltzmann method or resorting to non-uniform grids. This is possible due to the nature of the differential quadrature method, which utilizes more combinations of candidate stencils. The Qadyan method has a higher computational cost in comparison with the FDLBM.

The Experiences and Views of Employees on Hybrid Ways of Working

The contemporary post-COVID-19 corporate environment of instant response and hybrid work settings motivates employees to learn to adjust their expectations. This new corporate working model incorporates flex locations and flex schedules by working at home 1–2 days per week and staying connected for non-urgent requests, even outside business hours. This work setting empowers employees to prioritize work accordingly and to accommodate the fluid schedules of their coworkers. As a result, this new hybrid workplace requires leaders and their teams to face new challenges in terms of communication, coordination, and team connection to remain effective. This research examines the experiences of employees in an SME that applied a hybrid work policy following the post-pandemic crisis, bringing additional complexity to their modern work system. This study investigates employees’ views on the changing work environment as important evidence for HR management to incorporate into future organizational practices. To understand the various principles at play and provide more granular results, this paper includes a business case study (N = 25) where semi-structured interviews were used to identify the views and concerns of employees regarding hybrid work settings. The scope of this case study was to collect empirical data regarding this new agile way of working while understanding participant thinking. The findings suggest that while there are clear benefits in terms of efficiency and flexibility in hybrid work settings, there are also challenges related to social interactions and non-verbal clues. This study enhances conceptual and empirical understanding and supports contemporary research on the future of work.

The diagnostic challenge of a Papillary lesion of the breast in a patient with Peutz-Jeghers syndrome

Abstract Introduction/Objective Peutz-Jeghers syndrome (PJS) is an autosomal dominant disorder with elevated risk of various neoplasms, including breast cancer. The incidence of cancer among PJS patients is estimated to be 15-fold higher than the general population. The spectrum of breast lesions in PJS varies from benign papillomas to invasive carcinomas, presenting significant diagnostic complexities. The case presented here revolves around a unique papillary lesion in a PJS patient. Methods/Case Report A 40-year-old African American female, with PJS presented with a palpable abnormality in the right subareolar region with sanguineous nipple discharge. Multiple prior biopsies revealed intraductal papillomas with no atypia. Imaging showed a 7.0 cm complex solid and cystic subareolar mass, which had increased in size by 42% within a short period. Given the rapid increase in size, malignant transformation was clinically suspected. The patient underwent bilateral mastectomy. Macroscopic examination showed a 9.0 cm tan firm subareolar nodule with solid and cystic components. Histopathology revealed areas consistent with intraductal papilloma, however, additional complexities, including epithelial and myoepithelial proliferations with mild cytologic atypia, squamous, apocrine, and sebaceous metaplasia made the diagnosis challenging. No necrosis or increased mitotic activity was identified. Immunostaining for CK5/6 and p63 highlighted the myoepithelial layer, while estrogen receptor demonstrated heterogeneous positive staining. This picture raised suspicion of adenomyoepithelioma, but there was a significant overlap with intraductal papilloma. A final diagnosis of intraductal papillary neoplasm with epithelial and focal myoepithelial atypia was rendered. Results (if a Case Study enter NA) NA Conclusion This case presented a complex diagnostic dilemma. The rapid growth of the lesion, coupled with cytological atypia, raised significant concern necessitating precise differentiation between adenomyoepithelioma and intraductal papilloma. Further research is imperative to explore the pathophysiology of breast lesions in PJS, their impact on surveillance, management, potential for malignancy, and prognosis. Investigating additional diagnostic modalities and molecular markers to aid in accurate differentiation between benign and malignant papillary neoplasms in PJS patients warrants consideration.

Control of a Directional Downhole Drilling System Using a State Barrier Avoidance Based Method

Abstract Vibrations such as bit-bouncing, stick–slip, and whirl motion can significantly reduce downhole drilling's performance and efficiency. These phenomena are likely to arise once the dynamical states of drilling fall into undesired operating regimes, as verified by both theoretical analyses and experimental studies. To effectively avoid such undesired operating conditions of a downhole drilling process, this paper introduces an advanced nonlinear state-constrained control method to formulate a setpoint tracking problem of high-order directional drilling dynamics under state constraints. These constraints are carefully defined using the field test results, and their shapes are in complex state-space regions, causing additional complexity to the control design. Moreover, unlike vertical drilling, the directional drilling system requires modeling of coupled axial and torsional dynamics with a higher degree-of-freedom (DOF). In this study, the proposed method will tackle these challenges by converting the original high-order constrained control problem into a standard nonlinear control problem. Leveraging on the linear parameter varying (LPV) method that is applied to the converted system, we can actively prevent drilling from falling into the undesired regimes, to achieve the constrained control objective.

Testing Mortars for 3D Printing: Correlation with Rheological Behavior

Three-dimensionally printed concrete is a transformative technology that addresses housing shortages due to population growth and enables innovative architectural designs. The objective of this study is to investigate the connection between a conventional test and the rheological properties of 3D-printed concrete. A more precise assessment of material quality based on traditional evaluation techniques is proposed. Standard tests are conducted to evaluate the consistency of 3D-printed concrete materials. Complementarily, a rheometer is employed to accurately measure key rheological properties, thereby establishing a link with empiric testing methodologies. The correlation between the flow table test and rheological coefficients, such as yield stress and viscosity, has been identified as the most effective in basic experiments for evaluating material behavior. This approach allows for a preliminary assessment of printability without the need for additional complex equipment. The study has successfully established a relationship between flow table tests and rheological parameters. However, further research involving a broader range of materials and print-test experiments is essential to enhance the correlation between other conventional testing methods and rheometer results.

National Dependence and Public Perceptions: Understanding the Economic Determinants of Foreign Policy Preferences Toward China

The relationship between economic dependence and foreign influence has become an increasingly prominent topic in International Relations. However, academic studies and public discussion largely overlook that dependence could influence not only states’ official policies but also the foreign policy preferences of their populations. In addition, they simplistically assume that material dependence directly establishes influence without considering additional complexities brought on by actors’ perceptions of such realities. This could lead to misunderstandings regarding the mechanisms through which economic dependence leads to foreign influence. The problem is especially glaring in relation to China, whose economic clout has been argued to represent a key vector of its global influence. This article studies how economic dependence shapes the foreign policy preferences of populations around the world and, thereby, constitutes a vector of China’s international influence. We use novel public opinion data from more than 79,000 respondents in 54 countries to clarify the relative weight of material economic realities and public perceptions of them in shaping foreign policy preferences toward China. In doing so, we also establish the relative extent to which individuals base their preferences on an egoistic or sociotropic sense of economic self-interest. Our results illustrate that perceptions outweigh economic realities in shaping preferences on China. Furthermore, economic dependence has no uniform effects on national populations, suggesting that its effects are primarily expressed through egotropic ways. Our results suggest that the disconnect between perceptions of China’s economic importance and material realities needs to be closely considered when studying China’s international influence.

A Case for First-Class Environments

Formalizations of programming languages typically adopt the substitution model from the lambda calculus. However, substitution creates notorious complications for reasoning and implementation. Furthermore, it is disconnected from practical implementations, which normally adopt environments and closures. In this paper we advocate for formalizing programming languages using a novel style of small-step environment-based semantics , which avoids substitution and is closer to implementations. We present a call-by-value statically typed calculus, called λ E , using our small-step environment semantics. With our alternative environment semantics programming language constructs for first-class environments arise naturally, without creating significant additional complexity. Therefore, λ E also adopts first-class environments, adding expressive power that is not available in conventional lambda calculi. λ E is a conservative extension of the call-by-value Simply Typed Lambda Calculus (STLC), and employs de Bruijn indices for its formalization, which fit naturally with the environment-based semantics. Reasoning about λ E is simple, and in many cases simpler than reasoning about the traditional STLC. We show an abstract machine that implements the semantics of λ E , and has an easy correctness proof. We also extend λ E with references. We show that λ E can model a simple form of first-class modules, and suggest using first-class environments as an alternative to objects for modelling capabilities. All technical results are formalized in the Coq proof assistant. In summary, our work shows that the small-step environment semantics that we adopt has three main and orthogonal benefits: 1) it simplifies the notorious binding problem in formalizations and proof assistants; 2) it is closer to implementations; and 3) additional expressive power is obtained from first-class environments almost for free.

Adaptive support vector machine for time-variant failure probability function estimation

Time variant reliability analysis introduces additional complexity due to the inclusion of time. When the time-variant failure probability function (TFPF) of the structure is of interest, it inherently involves sequential evaluations of the failure probabilities of series systems varied with time in discretized space, posing a challenge to reliability analysis. An efficient approach for the evaluation of the TFPF, called ‘Time-dependent Adaptive Support Vector Machine combined with Monte Carlo Simulation’ (TASVM-MCS), is presented to reduce the corresponding computational cost. Based on the samples from Monte Carlo simulation (MCS), an iterative strategy is proposed to actively extract the most valuable sample points from the sample pool and iteratively update the support vector machine (SVM) model. In particular, an active learning function is proposed to take into account the diversity of samples and time simultaneously. In this way, the built SVM will be more suitable for the evaluation of TFPF other than a point-wise failure probability. The proposed TASVM-MCS method is relatively less sensitive to the dimensionality of the input variables, making it a powerful and promising approach for time-variant reliability computations. Four representative examples are given to demonstrate the significant effectiveness and efficiency of the proposed method.

Landscape Heterogeneity and Environmental Dynamics Improve Predictions of Establishment Success of Colonising Small Founding Populations.

In long-distance dispersal events, colonising species typically begin with a small number of founding individuals. A growing body of research suggests that establishment success of small founding populations can be determined by the context of the colonisation event and the new environment. Here, we illuminate the importance of these sources of context dependence. Using a spatially explicit, temporally dynamic, mechanistic, individual-based simulator of a model amphibian species, the cane toad (Rhinella marina), we simulated colonisation scenarios to investigate how (1) the number of founding individuals, (2) the number of dispersal events, (3) landscape's spatial composition and configuration of habitats ('spatially heterogeneous landscapes') and (4) the timing of arrival with regards to dynamic environmental conditions ('dynamic environmental conditions') influence the establishment success of small founding populations. We analysed the dynamic effects of these predictors on establishment success using running-window logistic regression models. We showed establishment success increases with the number of founding individuals, whereas the number of dispersal events had a weak effect. At ≥ 20 founding individuals, propagule size swamps the effects of other factors, to whereby establishment success is near-certain (≥ 90%). But below this level, confidence in establishment success dramatically decreases as number of founding individuals decreases. At low numbers of founding individuals, the prominent predictors are landscape spatial heterogeneity and dynamic environmental conditions. For instance, compared to the annual mean, founding populations with ≤ 5 individuals have up to 18% higher establishment success when they arrive in 'packed' landscapes with relatively limited and clustered essential habitats and right before the breeding season. Accounting for landscape spatial heterogeneity and dynamic environmental conditions is integral in understanding and predicting population establishment and species colonisation. This additional complexity is necessary for advancing biogeographical theory and its application, such as in guiding species reintroduction efforts and invasive alien species management.

Socioeconomic deprivation correlates with incomplete radiotherapy treatment in head and neck cancer.

There is a high burden of socioeconomic deprivation across Merseyside and, along with this, poorer cancer outcomes. The incidence of head and neck cancer squamous cell carcinoma (HNSCC) within this region is higher than the national average and there are often additional complexities to individual treatment pathways such as poor health literacy, lack of social support and transport options which can impact on adherence to prescribed treatments. AimThis work aims to understand the impact of deprivation on patients diagnosed with HNSCC undergoing chemoradiotherapy (CRT) or radiotherapy (RT) treatment through identifying barriers to adherence. MethodsPatients with HNSCC treated between June 2022-June 2023 were included and data collected through retrospective case note review. Approval was obtained from relevant NHS institution audit departments. Key examined variables were indices of multiple deprivation (IMD), unplanned admission rate, hospital transport use, social support network and provision of additional adhoc appointments during treatment courses. All were correlated with missed radiotherapy appointments. ResultsOut of 359 evaluable patients there were high levels of unplanned appointments with health professionals during CRT/RT (71% of those receiving CRT and 55% of those having RT). 11% (n=39) missed at least one radiotherapy appointment with the commonest reason being unplanned admission to hospital. Despite missed appointments, 25/39 patients completed treatment within prescribed window due to effective RT compensation strategies. On multivariate analysis, unplanned admission, hospital provided transport and crime deprivation quintiles (p=<0.001, p=0.007 and p=0.027 respectively) were found to significantly increase the chance of missed radiotherapy treatment appointments. ConclusionHigh levels of unplanned encounters with health care professionals are encouraging adherence to non-surgical HNSCC treatments. Formalising these adhoc appointments will provide an equitable, robust service. Undertaking hospital transport increases potential for missed treatment appointments. Gaining insight into patient experiences and investing in improved transport services are essential for maximising adherence.

TCT-551 Clinical Impact of Additional Complexity Criteria in Patients Undergoing Left Main PCI: Insights From a Large Single-Center Registry

TCT-551 Clinical Impact of Additional Complexity Criteria in Patients Undergoing Left Main PCI: Insights From a Large Single-Center Registry

ADHESIVE ABILITY OF GYPSUM-CONTAINING PLASTER COMPOSITIONS

The traditional material for the construction of buildings in the Northern Black Sea region is a cheap local stone ‒ limestone-shell rock. Most of the buildings in the central part of the city of Odesa, which are of historical and architectural value, are constructed of this material. With proper care and maintenance, these structures can perform their functions for hundreds of years, but as a result of shell rock moisture due to negligent operation and a number of other reasons, the supporting structures are damaged, followed by the collapse of the building. In many cases, the direct cause of the destruction of load-bearing walls is the damage or absence of the outer plaster layer. Repairing walls with cement compounds exacerbates the problem. The article discusses some aspects of the possible use of gypsum-based composite materials for repairing damaged walls of limestone-shell rock buildings. The requirements for the repair composition are formulated. The expediency of using gypsum as a binder for the repair plaster mixture for exterior repairs is substantiated. An ash-gypsum-cement composition was used to increase the water resistance of the plaster. Sufficient water resistance and vapor permeability of the proposed composition were confirmed. This paper presents the results of studying the adhesive strength of the contact of the developed composition with the surface of various materials. Methods and measuring equipment developed at the ODABA were used. The adhesion strength of the proposed mixture with the surface of shell rock is close to the standard strength. The use of the adhesive additive Ceresit CC 81 increases the adhesive strength of the joint of the proposed composition with shell rock by 1.5 ‒ 2 times. The optimal amount of the adhesive additive to be introduced will be determined by the results of a multifactorial experiment to study the effect of a complex of chemical additives of different functional purposes on the properties of the proposed repair composition.

The co-occurrence of genetic variants in the TYR and OCA2 genes confers susceptibility to albinism

Although rare genetic conditions are mostly caused by DNA sequence alterations that functionally disrupt individual genes, large-scale studies using genome sequencing have started to unmask additional complexity. Understanding how combinations of variants in different genes shape human phenotypes is expected to provide important insights into the clinical and genetic heterogeneity of rare disorders. Here, we use albinism, an archetypal rare condition associated with hypopigmentation, as an exemplar for the study of genetic interactions. We analyse data from the Genomics England 100,000 Genomes Project alongside a cohort of 1120 individuals with albinism, and investigate the effect of dual heterozygosity for the combination of two established albinism-related variants: TYR:c.1205 G > A (p.Arg402Gln) [rs1126809] and OCA2:c.1327 G > A (p.Val443Ile) [rs74653330]. As each of these changes alone is insufficient to cause disease when present in the heterozygous state, we sought evidence of synergistic effects. We show that, when both variants are present, the probability of receiving a diagnosis of albinism is significantly increased (odds ratio 12.8; 95% confidence interval 6.0 – 24.7; p-value 2.1 ×10−8). Further analyses in an independent cohort, the UK Biobank, support this finding and highlight that heterozygosity for the TYR:c.1205 G > A and OCA2:c.1327 G > A variant combination is associated with statistically significant alterations in visual acuity and central retinal thickness (traits that are considered albinism endophenotypes). The approach discussed in this report opens up new avenues for the investigation of oligogenic patterns in apparently Mendelian disorders.

A ROS2-Based Gateway for Modular Hardware Usage in Heterogeneous Environments

The rise of robotics and the Internet of Things (IoT) could potentially represent a significant shift towards a more integrated and automated future, where the physical and digital domains may merge. However, the integration of these technologies presents certain challenges, including compatibility issues with existing systems and the need for greater interoperability between different devices. It would seem that the rigidity of traditional robotic designs may inadvertently make these difficulties worse, which in turn highlights the potential benefits of modular solutions. Furthermore, the mastery of new technologies may introduce additional complexity due to the varying approaches taken by robot manufacturers. In order to address these issues, this research proposes a Robot Operating System (ROS2)-based middleware, called the “ROS2-based gateway”, which aims to simplify the integration of robots in different environments. By focusing on the payload layer and enabling external communication, this middleware has the potential to enhance modularity and interoperability, thus accelerating the integration process. It offers users the option of selecting payloads and communication methods via a shell interface, which the middleware then configures, ensuring adaptability. The solution proposed in this article, based on the gateway concept, offers users and programmers the flexibility to specify which payloads they want to activate depending on the task at hand and the high-level protocols they wish to use to interact with the activated payloads. This approach allows for the optimisation of hardware resources (only the necessary payloads are activated), as well as enabling the programmer/user to utilise high-level communication protocols (such as RESTful, Kafka, etc.) to interact with the activated payloads, rather than low-level programming.