Transparent Approach Research Articles

Streamlined structure determination by cryo-electron tomography and subtomogram averaging using TomoBEAR

Structures of macromolecules in their native state provide unique unambiguous insights into their functions. Cryo-electron tomography combined with subtomogram averaging demonstrated the power to solve such structures in situ at resolutions in the range of 3 Angstrom for some macromolecules. In order to be applicable to the structural determination of the majority of macromolecules observable in cells in limited amounts, processing of tomographic data has to be performed in a high-throughput manner. Here we present TomoBEAR—a modular configurable workflow engine for streamlined processing of cryo-electron tomographic data for subtomogram averaging. TomoBEAR combines commonly used cryo-EM packages with reasonable presets to provide a transparent (“white box”) approach for data management and processing. We demonstrate applications of TomoBEAR to two data sets of purified macromolecular targets, to an ion channel RyR1 in a membrane, and the tomograms of plasma FIB-milled lamellae and demonstrate the ability to produce high-resolution structures. TomoBEAR speeds up data processing, minimizes human interventions, and will help accelerate the adoption of in situ structural biology by cryo-ET. The source code and the documentation are freely available.

Exploring Perspectives on Agroecological Transition in Scotland with Critical Systems Heuristics

Critical systems heuristics (CSH) is a framework that facilitates reflective practice in exploring and solving complex management problems. Several applications have demonstrated the utility of CSH for addressing problems concerning the environment and sustainability. As such, we apply CSH to explore perspectives on agroecological transition in Scotland. In interviews with 10 farmers, agricultural professionals, and researchers, we demonstrate the utility of boundary critique as a practice for unpacking the judgements that underpin perspectives on Scottish farming. Moreover, we derive a series of practical insights and recommendations to progress agroecological transition in Scotland, including: support for a greater diversity of farming systems; action across the entire food system to avoid ‘lock-ins’; improved tools to measure farming outcomes; and nuanced and precise conversations regarding the nature and purpose of agroecological farming. We hope that our accessible and transparent approach might encourage the uptake of CSH research among systems researchers and practitioners.

Enhanced optoelectronic coupling for perovskite/silicon tandem solar cells.

Monolithic perovskite/silicon tandem solar cells are of great appeal as they promise high power conversion efficiencies (PCEs) at affordable cost. In state-of-the-art tandems, the perovskite top cell is electrically coupled to a silicon heterojunction bottom cell by means of a self-assembled monolayer (SAM), anchored on a transparent conductive oxide (TCO), which enables efficient charge transfer between the subcells1-3. Yet reproducible, high-performance tandem solar cells require energetically homogeneous SAM coverage, which remains challenging, especially on textured silicon bottom cells. Here, we resolve this issue by using ultrathin (5-nm) amorphous indium zinc oxide (IZO) as the interconnecting TCO, exploiting its high surface-potential homogeneity resulting from the absence of crystal grains and higher density of SAM anchoring sites when compared with commonly used crystalline TCOs. Combined with optical enhancements through equally thin IZO rear electrodes and improved front contact stacks, an independently certified PCE of 32.5% was obtained, which ranks among the highest for perovskite/silicon tandems. Our ultrathin transparent contact approach reduces indium consumption by approximately 80%, which is of importance to sustainable photovoltaics manufacturing4.

Study on the path toward solutions for NIMBYism in China: A case study based on the qualitative comparative analysis method

With the recent economic and social development of China, there has been a growing awareness among citizens. The concept of Not In My Backyard (NIMBY) has emerged as a highly public issue, capable of sparking conflicts of interest between the public and the government. To assist the government in making well-informed decisions and respecting the interests of local residents, this study comprehensively explores the diverse factors that contribute to the varying outcomes of the NIMBY phenomenon. To achieve this, a qualitative comparative analysis with a fuzzy set (fsQCA) was conducted on 31 cases that occurred in China between 2009 and 2021. The findings reveal seven paths that would lead to the cancellation of NIMBY facilities. Among those paths, government credibility and social media involvement are the two crucial factors in NIMBY problem-solving. To some extent, violence can drive the cancellation of NIMBY projects. Local governments are more likely to compromise on NIMBY in the case of harmful facilities. However, this study emphasizes that constant compromise may not always be the most effective solution for the government. Instead, it proposes three potential approaches that can simultaneously address neighborhood satisfaction and foster local economic development in the context of NIMBYism. These approaches include the following.The construction of a multiple participant system: By involving multiple stakeholders in the decision-making process, such as local residents, government officials, experts, and industry representatives, a more inclusive and transparent approach can be adopted to address NIMBY concerns.The judicious use of online platforms: Leveraging social media and online platforms can facilitate effective communication and engagement between the government, local residents, and other relevant stakeholders. This can help in building trust, disseminating information, and encouraging dialogue to address NIMBY concerns.The popularization of science: Promoting scientific literacy among the public can help address misconceptions and fears associated with NIMBY facilities. By providing accessible and accurate information, this study suggests that the popularization of science can contribute to a better understanding of the benefits and risks associated with such facilities.By implementing these approaches, this study suggests that the government can make well-informed decisions, respect the interests of local residents, and mitigate conflicts arising from the NIMBY phenomenon while fostering local economic development.

Agile Methodologies for Improved Product Management

Purpose: The purpose of this research is to investigate the adoption of agile methodologies in the context of product management and assess their impact on product development processes, organizational culture, and overall business performance. The study aims to provide valuable insights into the challenges, benefits, and best practices associated with implementing agile practices in product management, ultimately contributing to the enhancement of product management strategies in contemporary organizations.
 Methodology: Descriptive research enables the exploration of various variables, such as organizational size, industry, and cultural factors, which may influence the adoption of Agile. It allows for an in-depth analysis of these characteristics and their impact on Agile practices. Thematic analysis serves as a robust method for uncovering insights and patterns within qualitative data, allowing for a nuanced exploration of the adoption of agile methodologies in the realm of product management. It provides a systematic and transparent approach to data analysis, enabling the research to contribute valuable findings to the field.
 Findings: Identification of common obstacles and challenges faced by organizations during Agile adoption, such as resistance to change, cultural alignment, and scaling Agile beyond individual teams. Recognition of the benefits of Agile, including increased product innovation, faster time-to-market, improved customer satisfaction, and enhanced adaptability to changing market conditions. Exploration of the concept of hybrid product administration systems is highlighting the advantages and disadvantages of combining Agile and traditional methodologies. The examination of the impact of Agile on fostering creativity and innovation within product development teams is done.
 Unique contribution to theory, practice, and policy: The study enriches the theoretical understanding of agile implementation models, hybrid systems, and the relationship between agile practices and creativity within teams. It provides a foundation for further theoretical exploration in the field. The research offers practical recommendations for organizations seeking to adopt agile methodologies in product management, providing insights into overcoming challenges, achieving a balance in hybrid systems, and fostering a culture of collaboration and creativity. The findings have potential policy implications for regulatory bodies and governments interested in promoting agile adoption. The research suggests the need for industry-specific guidelines and government support to facilitate agile implementation and innovation.

A public panel reviews applications and questions applicants: Team member and public contributor discuss a transparent and inclusive approach to data access reviews

ObjectivesWe created a panel with members of the public and longitudinal study participants who review our data access requests. This panel forms an integral part of our data access application process, giving the public a say who can access the data for research.
 MethodsWe advertised our lay member vacancies using social media, newsletters, word of mouth and the internet. We appointed six people to the public panel. Our panel includes study participants, NHS service users, parents, carers, and people with experience of disability, neurodiversity, and long-term health conditions.
 The Panel Terms of Reference were created with help from stakeholders and study teams involved in longitudinal studies that involve the public in data access applications. This ensured that the purpose of the panel was clear. The panel reviews lay summaries and makes sure that researchers have adequate public involvement in their project.
 ResultsPanel members have reviewed 28 applications. Researchers present their research at an online meeting with the panel then answer questions from the panel members. We publish meeting minutes on our website for transparency.
 A 6-month review was overwhelmingly positive - all panel members indicated they felt valued. They felt able to challenge and question researchers as part of the data access application process. This provides a level of public scrutiny to our work.
 “I feel there’s a real value in the panel. You get a real sense that this has got such potential to make a contribution.” (panel member)
 We are further developing the Panel Terms of Reference with panel members. We will consider additional areas of responsibility, for example, public benefit review.
 ConclusionWe regularly review how to improve public involvement in our work. The panel has proven its value during our application process. Therefore we are exploring with the panel a new approach to assess the public benefit of applications and what is meant by ‘public benefit research’.

Investigating how the GRADE Evidence to Decision (EtD) framework is used in Clinical Guidelines: a scoping review protocol.

Introduction: The Grading of Recommendations, Assessment, Development and Evaluation (GRADE) evidence to decision (EtD) framework provides a structured and transparent approach for clinical guideline developers to use when formulating recommendations. Understanding how stakeholders use the EtD framework will inform how best to provide future training and support. This scoping review objective is to identify the key characteristics of how the GRADE EtD framework is used and identify studies on perception of use by those involved in developing clinical guidelines. Methods: JBI methodology for scoping reviews will be followed. This scoping review will consider both peer review published literature and grey literature. This will include empirical studies on the use of EtDs (including both quantitative, qualitative, and mixed methods primary research articles) and discussion papers/ commentaries on the experience of using the EtD. It will also include a random sample of publicly available populated EtDs identified from databases and repositories of GRADE guidelines. The search strategy will aim to locate both published and unpublished documents. First, we will conduct an exploratory search of MEDLINE and Embase (Elsevier), supplemented with citation analysis of included articles. Populated EtDs will be identified through searches of databases and repositories of GRADE guidelines. Two researchers will independently screen, select, and extract identified documents. Data will be presented in tables and summarized descriptively. Conclusion: This scoping review will identify the key characteristics of how the GRADE EtD framework is currently being used in clinical guidelines. Review findings can be used to inform future guidance and requirements for using GRADE EtD, as well as training on how to consider the criteria in developing recommendations. Results will be disseminated through publications in peer - reviewed journals and conference presentations. We will present our findings to relevant stakeholders via the networks of the co-author team at a one-day workshop.

LET’S GO

The project is entitled "Let’s Go." Let’s Go Web Application is a unified portal connecting load owners, truck brokers, transport companies, truck agents, truck and fleet owners, packers and movers, and others for efficient movement of goods. Let’s Go Web Application is convenient and intends to simplify the movement of goods by providing numerous options and creating a transparent, reliable, and time-saving approach for transactions between consignors and transporters. This help businesses by posting their loads online and receiving multiple bids from numerous transporters. Businesses save time and money by using our huge transportation network. Our platform facilitates load owners to book trucks online across India. Businesses can approach transport companies, truck owners, and logistics providers on a single platform. Let’s Go Web Application enables transporters to view multiple freight opportunities. It allows them to quote competitive truck fares to book a load. Transporters can work with numerous businesses across India and expand their trucking business. It has a user-friendly interface, and is dedicated to making each user's experience pleasant and beneficial. It's an online marketplace where the business owner and the transporter can work together in a transparent and mutually beneficial environment. Any person that has a load of material to be transported from one place to another. The person or organisation can be the owner of the load or an associate of the owner of the load. Transporters like fleet owners, truck owners, transport companies or agencies, truck brokers, business owners, etc. that have trucks available for movement from one place to another

NCBench: providing an open, reproducible, transparent, adaptable, and continuous benchmark approach for DNA-sequencing-based variant calling.

We present the results of the human genomic small variant calling benchmarking initiative of the German Research Foundation (DFG) funded Next Generation Sequencing Competence Network (NGS-CN) and the German Human Genome-Phenome Archive (GHGA). In this effort, we developed NCBench, a continuous benchmarking platform for the evaluation of small genomic variant callsets in terms of recall, precision, and false positive/negative error patterns. NCBench is implemented as a continuously re-evaluated open-source repository. We show that it is possible to entirely rely on public free infrastructure (Github, Github Actions, Zenodo) in combination with established open-source tools. NCBench is agnostic of the used dataset and can evaluate an arbitrary number of given callsets, while reporting the results in a visual and interactive way. We used NCBench to evaluate over 40 callsets generated by various variant calling pipelines available in the participating groups that were run on three exome datasets from different enrichment kits and at different coverages. While all pipelines achieve high overall quality, subtle systematic differences between callers and datasets exist and are made apparent by NCBench.These insights are useful to improve existing pipelines and develop new workflows. NCBench is meant to be open for the contribution of any given callset. Most importantly, for authors, it will enable the omission of repeated re-implementation of paper-specific variant calling benchmarks for the publication of new tools or pipelines, while readers will benefit from being able to (continuously) observe the performance of tools and pipelines at the time of reading instead of at the time of writing.

Reconceptualizing Music Therapy in Acute Mental Health Settings Part II: Clinical Applications of Single-Session Therapy

Abstract By championing the strengths, resources, and resilience of service users and increasing treatment access while limiting costs, single-session therapy (SST) represents a collaborative, direct, and transparent approach to providing treatment. In SST, service users have active and empowered roles in determining the focus, solutions, and extent of the therapy. SST practitioners note that all circumstances, settings, and contexts are unique and thus provide service users with autonomy to help them address the concerns that brought them to seek treatment. In Part II, I describe various ways to implement SST for music therapy clinicians in acute mental health settings. As Carr et al. (2013) noted a need for a music therapy model in acute mental health settings, I highlight Soo-Hoo’s (2018) Strength-Based Multicultural Integrative Therapy model as a potential therapeutic framework. To help music therapists apply aspects of SST to their clinical practice, I also provide questions for therapists to use in SST, describe how to conclude SST, provide suggestions for single-session group music therapy and other applications of single-session therapy in music therapy, and conclude with a critical reflection of SST.

Reconceptualizing Music Therapy in Acute Mental Health Settings Part I: A Descriptive Overview of Single-Session Therapy

Abstract Single-session therapy (SST) is a collaborative, direct, and transparent approach to providing treatment that emphasizes service users having active and empowered roles in determining the focus, solutions, and extent of the therapy. Clinicians developed SST as many adult mental health service users only receive a single session of therapy. Service users tend to be satisfied with SST and often chose to not return for additional sessions. SST emphasizes the strengths, resources, and resilience of service users and increases treatment access while limiting costs. Some of the impetus for SST is based on research indicating that rapid improvement tends to occur early in treatment with additional sessions being less impactful. In Part I, I provide a descriptive overview and synthesis of the SST literature. I conclude Part I by naming assumptions of long-term therapy and SST. In Part II, I describe approaches to conducting SST, apply SST to music therapy, and provide a critical reflection of SST.

Principles for transformative ocean governance

With a focus on oceans, we collaborated across ecological, social and legal disciplines to respond to the United Nations call for transformation in the ‘2030 Agenda for Sustainable Development’. We developed a set of 13 principles that strategically and critically connect transformative ocean research to transformative ocean governance (complementing the UN Decade for Ocean Science). We used a rigorous, iterative and transparent consensus-building approach to define the principles, which can interact in supporting, neutral or sometimes conflicting ways. We recommend that the principles could be applied as a comprehensive set and discuss how to learn from their interactions, particularly those that reveal hidden tensions. The principles can bring and keep together partnerships for innovative ocean action. This action must respond to the many calls to reform current ocean-use practices which are based on economic growth models that have perpetuated inequities and fuelled conflict and environmental decline.

Engaging Older Adolescent Boys Into School-Based Mental Health Workshops: Testing Theory-Based Facilitators and Barriers in Focus Groups.

Untreated mental health problems continue from childhood and adolescence into adulthood, meaning accessible early intervention is essential to reduce long-term negative outcomes. However, there is often a reluctance to engage in mental health treatment, with considerable evidence that young men are less likely to seek help than young women. This original research study aimed to explore four areas of interest around facilitating engagement of adolescent boys to a stress workshop intervention for adolescents in U.K. schools. The areas explored were male role models, destigmatizing language, trust building, and using a transparent and collaborative approach. We also sought to understand the main barriers to engagement. To explore these areas of interest, two focus groups were run, with a total of 12 young men, over two regional sites (London and Bath). Content analysis was used to analyze the data. Participants particularly valued transparency and collaboration as strong facilitators to engagement. Building of trust was the next most popular. Use of role models and destigmatizing language were the joint third most popular methods. The main barrier to help-seeking identified was perceived threat to masculine identity (self and social stigma). Given these novel findings, the factors of transparency and collaboration and building trust as facilitators merit further research, among both adults and adolescents.

Method for potential assessment and adaptation for additive manufacturing of conventionally manufactured components

AbstractThe novelty of additive manufacturing (AM) involves new requirements, restrictions and rules, that are considerably different to those of conventional manufacturing methods. Therefore, designers often lack experience and knowledge about identifying AM-suited components. However, to ensure profitability, it is essential to choose components, that are well suited for additive manufacturing. State-of-the-art user-support methods for identifying AM potential widely focus on either economic potential or manufacturability but fail to address both aspects. While machine learning solutions are considered highly efficient, the assessment outcome lacks process transparency, inhibiting troubleshooting, plausibility checks and problem-oriented considerations. This paper proposes a holistic, yet detailed and transparent approach to identify conventionally manufactured parts for AM from an existing product portfolio, enabling decision-making based on quantifiable results. It combines and advances state-of-the-art methods, considering manufacturability, economic profitability and socio-ecological aspects. Besides evaluating AM potential, the method additionally assesses the components' potential for re-design-based enhancement for AM suitability. Besides understanding product functions and present production processes, users are expected to have a basic understanding of company goals. The approach involves inquiries regarding company- and product-specific priorities, enabling a weighted assessment. The weights are determined based on individual company philosophies regarding AM value propositions such as differing stakeholder interests and priorities. Additionally, the approach allows users to investigate different development goals by weighting opportunistic and restrictive assessment. The method application is demonstrated via an assembly comprising 11 parts in a scenario focusing on serviceability, eventually determining suitability statements.

Examining the ethical dilemmas of political impartiality in records administration: a phronetic approach

PurposeThis paper aims to explore the ethical dilemmas faced by records administrators concerning political impartiality by examining the case of the National Archives and Records Administration (NARA) in the USA, which has faced reputational challenges due to perceived political bias.Design/methodology/approachThis paper proposes a phronetic approach to resolve the ethical dilemmas associated with political impartiality in records administration. This approach emphasizes practical wisdom and ethical decision-making, offering a unique and effective way to address the challenges faced by presidential record archivists.FindingsThe proposed phronetic approach provides a means to resolve the ethical challenges posed by political impartiality in records administration, with a particular focus on NARA. By taking a transparent and impartial approach, agencies can minimize criticism and ensure their continued ability to equitably serve the public.Practical implicationsThe phronetic approach offers a framework for addressing ethical dilemmas related to political impartiality in records administration, with potential implications for other independent agencies facing similar challenges.Originality/valueThis paper offers a unique perspective on the ethical dilemmas of political impartiality in records administration and proposes a practical and effective approach to resolving these challenges. It contributes to the broader discussion on the intersection of ethics and public administration.

Robotic Surgery for Bladder Endometriosis: A Systematic Review and Approach.

Women with bladder endometriosis often present with more advanced stages of endometriosis. Robotic surgery has emerged as a promising approach to the management of bladder endometriosis. This systematic review aims to analyze the current literature on robotic surgery for bladder endometriosis and describe our systematic approach to surgical treatment. This review followed the PRISMA guidelines, which ensured a comprehensive and transparent approach to selecting and evaluating relevant studies. We conducted a thorough literature search to identify studies that investigated the use of robotic surgery for bladder endometriosis. Relevant databases were searched, and inclusion and exclusion criteria were applied to select eligible studies. Data extraction and analysis were performed to assess the outcomes and effectiveness of robotic surgery for the treatment of bladder endometriosis. We did not find any randomized clinical trials with the use of robotics in the treatment of bladder endometriosis. We found only two retrospective studies comparing robotic surgery with laparoscopy, and another retrospective study comparing robotic surgery, laparoscopy, and laparotomy in the treatment of bladder endometriosis. All the other 12 studies were solely case reports. Despite the lack of robust evidence in the literature, the studies demonstrated that robotic surgery is feasible and is associated with reduced postoperative pain, shorter hospital stays, and faster recovery. The utilization of robotic technology is a promising option for the surgical management of bladder endometriosis. We advocate a surgical systematic approach for the robotic treatment of bladder endometriosis. Robotic technology, with its 3D vision, instrumental degrees of freedom, and precision, particularly in suturing, may provide potential benefits over traditional laparoscopy.

Ecological connectivity in environmental impact assessments: modelling alternative highway bypass scenarios

ABSTRACT Road building is one of the greatest threats to biodiversity globally. This study addressed common challenges for spatially explicit ecological assessments of linear infrastructure EIAs, by first providing an overview of existing approaches and then applying a connectivity model with scenario analysis of alternative road alignments for a road bypass in Beaufort, Australia. The application included an expert-based connectivity model using a combination of least-cost paths, circuit theory, and graph theory to model five conservation targets (four species and one group) with different dispersal abilities and habitat requirements. For each of these targets, we modelled four different road alignments, then assessed mitigation options for the least impactful alignment. The results showed that each target species was dissimilarly impacted, with longer dispersers affected the most. The modelling clearly identified a single alignment with the least overall impact on connectivity and showed how wildlife crossing structures can mitigate impacts through improving overall connectivity for all target species. This real-world case-study demonstrated the potential to apply a transparent and quantitative approach to mainstreaming ecological connectivity modelling in EIAs.

Adaptive Bayesian learning for making risk-aware decisions: A case of trauma survival prediction

Decision tree (DT) models provide a transparent approach to prediction of patient’s outcomes within a probabilistic framework. Averaging over DT models under certain conditions can deliver reliable estimates of predictive posterior probability distributions, which is of critical importance in the case of predicting an individual patient’s outcome. Reliable estimations of the distribution can be achieved within the Bayesian framework using Markov chain Monte Carlo (MCMC) and its Reversible Jump extension enabling DT models to grow to a reasonable size. Existing MCMC strategies however have limited ability to control DT structures and tend to sample overgrown DT models, making unreasonably small partitions, thus deteriorating the uncertainty calibration. This happens because the MCMC explores a DT model parameter space within a limited knowledge of the distribution of data partitions. We propose a new adaptive strategy which overcomes this limitation, and show that in the case of predicting trauma outcomes the number of data partitions can be significantly reduced, so that the unnecessary uncertainty of estimating the predictive posterior density is avoided. The proposed and existing strategies are compared in terms of entropy which, being calculated for predicted posterior distributions, represents the uncertainty in decisions. In this framework, the proposed method has outperformed the existing sampling strategies, so that the unnecessary uncertainty in decisions is efficiently avoided.

Smart Cities in Nepal: The concept, evolution and emerging patterns

Nepal is the least urbanized country in South Asia with approximately 28% of Nepalese living in urban areas, while it is also the fastest urbanizing country in with an annual urban population growth of 6%. Urban areas suffer from municipal physical and information infrastructure deficits and are at high risk from earthquakes, floods, fires, and landslides. Development and transformation into Smart Cities would be a new avenue in Nepali development trend. However, this is relatively new and is still in its early stages of development. The objective of this research is to assess the evolution, the emerging trends and future prospects of Smart City in Nepal. A literature review with qualitative method along with structured key informant interviews were conducted to obtain data. This study revealed that the concept of Smart Cities in Nepal is centered around the integration of technology and innovative solutions to address the challenges facing urban areas and improve the quality of life for citizens. The concept is driven by the rapid pace of urbanization, the increasing need for sustainable and resilient cities, and the growing recognition of the role that technology can play in addressing these challenges. Nepal has emphasized on sustainability, the integration of Smart City initiatives, and the use of smart technologies with the country's broader development goals. Smart City indicators have been developed to track the progress, yet they are not flexible. This study recommends that i) the indicators need to be kept flexible with adequate room for revision of resilience-related indicators, ii) appropriate focus should be given to interconnected components of Smart Cities and iii) development of a more transparent and accountable approach to Smart City thereby providing better opportunities to enhance quality of life and unlock economic growth potential.

Virtual-Simulation-Based Multi-Objective Optimization of an Assembly Station in a Battery Production Factory

The planning and design process of manufacturing factory layouts is commonly performed using digital tools, enabling engineers to define and test proposals in virtual environments before implementing them physically. However, this approach often relies on the experience of the engineers involved and input from various cross-disciplinary functions, leading to a time-consuming and subjective process with a high risk of human error. To address these challenges, new tools and methods are needed. The Industry 5.0 initiative aims to further automate and assist human tasks, reinforcing the human-centric perspective when making decisions that influence production environments and working conditions. This includes improving the layout planning process by making it more objective, efficient, and capable of considering multiple objectives simultaneously. This research presents a demonstrator solution for layout planning using digital support, incorporating a virtual multi-objective optimization approach to consider safety regulations, area boundaries, workers’ well-being, and walking distance. The demonstrator provides a cross-disciplinary and transparent approach to layout planning for an assembly station in the context of battery production. The demonstrator solution illustrates how layout planning can become a cross-disciplinary and transparent activity while being automated to a higher degree, providing results that support decision-making and balance cross-disciplinary requirements.