Incremental Process Research Articles

Predictability in Language Comprehension: Prospects and Problems for Surprisal

Surprisal theory proposes that a word's predictability influences processing difficulty because each word requires the comprehender to update a probability distribution over possible sentences. This article first considers the theory's detailed predictions regarding the effects of predictability on reading time and N400 amplitude. Two rather unintuitive predictions appear to be correct based on the current evidence: There is no specific cost when an unpredictable word is encountered in a context where another word is predictable, and the function relating predictability to processing difficulty is logarithmic, not linear. Next, the article addresses the viability of the claim, also associated with Surprisal, that conditional probability is the “causal bottleneck” mediating all effects on incremental processing difficulty. This claim fares less well as conditional probability does not account for the difficulty associated with encountering a low-frequency word or the difficulty associated with garden path disambiguation. Surprisal provides a compelling account of predictability effects but does not provide a complete account of incremental processing difficulty.

Evolutionary accumulation of FKS1 mutations from clinical echinocandin-resistant Candida auris

Introduction: Drug resistance to echinocandins, first-line drugs used to treat Candida auris infection, is rapidly emerging. However, the accumulation of mutations in genes other than FKS1 (before an isolate develops to resistance via FKS1 mutations), remains poorly understood. Methods Four clinical cases and 29 isolates associated with the incremental process of echinocandin resistance were collected and analyzed using antifungal drug susceptibility testing and genome sequencing to assess the evolution of echinocandin resistance. Findings: Six echinocandin minimum inhibitory concentration (MIC)-elevated C. auris strains and seven resistant strains were isolated from the urinary system of patients receiving echinocandin treatment. Meanwhile, phylogenetic analyses illustrated that the echinocandin-resistant strains were closely related to other strains in the same patient. Genomic data revealed that the echinocandin-resistant strains had FKS1 mutations. Furthermore, three categories (ECN-S/E/R) of non-synonymous mutant SNP genes (such as RBR3, IFF6, MKC1, MPH1, RAD2, and MYO1) in C. auris appeared to be associated with the three-stage-evolutionary model of echinocandin resistance in C. glabrata: cell wall stress, drug adaptation, and genetic escape (FKS mutation). Interpretation: Echinocandin-resistant C. auris undergoes spatial and temporal phase changes closely related to echinocandin exposure, particularly in the urinary system. These findings suggest that FKS1 mutations mediate an evolutionary accumulation of echinocandin resistance followed by modulation of chromosome remodeling and DNA repair processes that ultimately lead to FKS1 hot spot mutations and the development of drug resistance. This study provides an in-depth exploration of the molecular pathways involved in the evolution of Candida auris echinocandin resistance.

Computational framework for predicting friction law under mixed-boundary lubrication, and its application to sheet metal forming process

The role of friction in the forming of automotive parts composed of ultra-high-strength lightweight metals has become increasingly important as industry attempts to overcome inferior formability and springback against enhanced strength. At the tool-design stage, finite-element simulations should use more accurate and efficient friction models that account for complex friction behavior between the metal and tool surfaces. Complex friction behavior is commonly dependent on contact pressure, sliding velocity, microscale surface effects (or roughness), and lubrication, among other factors. This study presents a microscale, asperity-based friction model of mixed-boundary lubrication. The developed hydrodynamic friction model is based on the load-sharing concept, which considers the lubrication area and metal-to-metal contact separately. Lubricant film thickness is calculated to couple the existing boundary lubrication model, and film lubrication behavior is formulated using finite-element programming of the Reynolds equation to obtain the hydrodynamic pressure. The proposed computational framework is validated by simulating an in-line incremental die-forming process. The result shows that the predicted friction law with multi-scale, mixed-boundary lubrication can be efficiently applied to realistic sheet-metal-forming simulations with reasonable accuracy by accounting for complex frictional behavior.

The role of nurses in implementation of public policy on adolescent health in Colombia, Ecuador, and Peru

BackgroundIn Latin America, interventions aimed at adolescents’ health suffer from a shortfall of investment and lack of sustainability. Nurses, as an integral part of health services and systems, can lead the implementation and development of public health policies to improve adolescent health.ObjectiveTo identify and analyze the role of nurses in the development and implementation of public policies and in the provision of health care to adolescents in Colombia, Ecuador, and Peru.MethodsThe research was carried out in three phases: a documentary analysis, an online survey, and semi-structured focus groups. A total of 48 documents were analyzed, 288 nurses participated in the survey, and 29 nurses participated in the focus groups.ResultsState policies aim to guarantee rights, with special protection for children and adolescents. It is an incremental process, with greater involvement of civil society and governments. Participants reported a lack of synergy between law and practice, as well as differences in regulatory compliance in rural areas and in populations of different ethnicities and cultures. Their perception was that the protection of adolescents is not specifically enshrined in the legal bases and regulatory structures of the countries, meaning that there are both protective factors and tensions in the regulatory framework. While nurses are highly committed to different actions aimed at adolescents, their participation in policy development and implementation is low, with barriers related to a lack of specialized training and working conditions.ConclusionsGiven nurses’ involvement in different actions aimed at adolescents, they could play a fundamental role in the development of policies for adolescents and ensure their effective implementation. Policymakers should consider revising the budget to make compliance viable, incorporating and using monitoring indicators, and increasing the involvement of educational institutions and the community.

WiCAR: A class-incremental system for WiFi activity recognition

The proposal of Integrated Sensing and Communications has once again drawn researchers’ attention to WiFi sensing, propelling applications based on WiFi sensing into an advanced stage. However, the current field of activity recognition only identifies fixed categories of activities, neglecting the growing demand for perceiving activity types in real applications over time. In response to the issue, we present WiCAR, a WiFi activity recognition system designed for class incremental scenarios. WiCAR takes antenna array-fused image data as input, employing the Wi-RA model with parallel stacked activation functions as its backbone network. To alleviate the typical catastrophic forgetting issue in class-incremental learning, WiCAR employs a strategy of replaying known data. Additionally, we adopts knowledge distillation to improve accuracy among old samples during the incremental process. To tackle the imbalance in the number of samples between old and new classes, the model is updated through weight alignment. This serious of strategies endows the system with the capability to progressively learn and handle new classes. We conducted extensive experiments to evaluate the system performance. The experimental results demonstrate that our system exhibits excellent performance regardless of the number of tasks, whether tasks are uniform or non-uniform, and the order of task arrivals. The highest average accuracy reaches 96.429%, and even in the presence of six incremental stages, the average accuracy remains at 92.867%.

Factors influencing deprescribing in primary care for those towards the end of life: A qualitative interview study with patients and healthcare practitioners.

For people with limited lifetime expectancy, the benefit of many medications may be outweighed by their potential harms. Despite the relevance of reducing unnecessary medication use, deprescribing is poorly enacted in primary care practice. This study aims to describe factors, as identified by primary care professionals and patients, that influence deprescribing in the last phase of life. Semi-structured interviews were conducted and analysed using a thematic approach. This study was performed in primary care settings, including general practices, hospices and community care teams in The Netherlands. Purposefully identified primary care professionals (general practitioners, pharmacists, nurses) and patients with limited lifetime expectancy due to advanced chronic illness or cancer and their caretakers were interviewed. Three themes emerged detailing factors influencing deprescribing in the last phase of life in primary care: (1) non-maleficence, the wish to avoid additional psychological or physical distress; (2) reactive care, the lack of priority and awareness of eligible patients; and (3) discontinuity of care within primary care and between primary care and specialty care. Deprescribing is an incremental process, complicated by the unpredictability of life expectancy and attitudes of patients and health care professionals that associate continued medication use with clinical stability. Opportunities to facilitate the deprescribing process and its acceptance include the routinely systematic identification of patients with limited life expectancy and potentially inappropriate medications, and normalisation of deprescribing as component of regular primary care, occurring for all patients and continuing into end-of-life care.

Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application

Most process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result, process mining techniques function like black boxes with limited interaction options for analysts, such as simple sliders for filtering infrequent behavior. Recent research tries to break these black boxes by allowing process analysts to provide domain knowledge and guidance to process mining techniques, i.e., hybrid intelligence. Especially, in process discovery—a critical type of process mining—interactive approaches emerged. However, little research has investigated the practical application of such interactive approaches. This paper presents a case study focusing on using incremental and interactive process discovery techniques in the healthcare domain. Though healthcare presents unique challenges, such as high process execution variability and poor data quality, our case study demonstrates that an interactive process mining approach can effectively address these challenges.Graphical

Loop Closure Detection with CNN in RGB-D SLAM for Intelligent Agricultural Equipment

Loop closure detection plays an important role in the construction of reliable maps for intelligent agricultural machinery equipment. With the combination of convolutional neural networks (CNN), its accuracy and real-time performance are better than those based on traditional manual features. However, due to the use of small embedded devices in agricultural machinery and the need to handle multiple tasks simultaneously, achieving optimal response speeds becomes challenging, especially when operating on large networks. This emphasizes the need to study in depth the kind of lightweight CNN loop closure detection algorithm more suitable for intelligent agricultural machinery. This paper compares a variety of loop closure detection based on lightweight CNN features. Specifically, we prove that GhostNet with feature reuse can extract image features with both high-dimensional semantic information and low-dimensional geometric information, which can significantly improve the loop closure detection accuracy and real-time performance. To further enhance the speed of detection, we implement Multi-Probe Random Hyperplane Local Sensitive Hashing (LSH) algorithms. We evaluate our approach using both a public dataset and a proprietary greenhouse dataset, employing an incremental data processing method. The results demonstrate that GhostNet and the Linear Scanning Multi-Probe LSH algorithm synergize to meet the precision and real-time requirements of agricultural closed-loop detection.

Chunk boundaries disrupt dependency processing in an AG: Reconciling incremental processing and discrete sampling.

Language is rooted in our ability to compose: We link words together, fusing their meanings. Links are not limited to neighboring words but often span intervening words. The ability to process these non-adjacent dependencies (NADs) conflicts with the brain's sampling of speech: We consume speech in chunks that are limited in time, containing only a limited number of words. It is unknown how we link words together that belong to separate chunks. Here, we report that we cannot-at least not so well. In our electroencephalography (EEG) study, 37 human listeners learned chunks and dependencies from an artificial grammar (AG) composed of syllables. Multi-syllable chunks to be learned were equal-sized, allowing us to employ a frequency-tagging approach. On top of chunks, syllable streams contained NADs that were either confined to a single chunk or crossed a chunk boundary. Frequency analyses of the EEG revealed a spectral peak at the chunk rate, showing that participants learned the chunks. NADs that cross boundaries were associated with smaller electrophysiological responses than within-chunk NADs. This shows that NADs are processed readily when they are confined to the same chunk, but not as well when crossing a chunk boundary. Our findings help to reconcile the classical notion that language is processed incrementally with recent evidence for discrete perceptual sampling of speech. This has implications for language acquisition and processing as well as for the general view of syntax in human language.

Young families’ space adaptation in subsidized housing case study: Mataram city, West Nusa Tenggara Indonesia

ABSTRACT Indonesia’s 2020 census shows that 25.87% of the population comprises productive working-age millennials in the family-forming phase and demand affordable housing. To aid the low-income class in accessing the housing market, the government provides the Rumah Inti Tumbuh (RIT) or “growing core house” programme. This study examines the young families’ adaptation to utilize the available rooms, using mixed methods of observations, interviews, and architectural records. Study analyses employ the six layers’ theory of [Brand, Stewart. 1994. How Buildings Learn: What Happens After They are Built. New York, NY: Viking] to trace back the incremental process from the early home-making, motivation development, and adaptation strategy of the spatial usages in the post-reconstruction. The study concludes that young families needed to incrementally outmode the forms of provision even in the early occupation. The adaptive solutions gradually blurred the initial design idea provided by the developer. The home-making practices also accommodate daily activities connected with Islamic cultural, social, and intimate spheres.

The efficacy and safety of an enzyme-containing lozenge for dental biofilm control—a randomized controlled pilot trial

ObjectivesTo evaluate the effect of daily use of a multiple-enzyme lozenge on de novo plaque formation, on gingivitis development, and on the oral microbiome composition. MethodsThis trial with two parallel arms included 24 healthy adults allocated to the Active (n = 12) or Placebo (n = 12) group. Subjects consumed one lozenge three times daily for seven days, and no oral hygiene procedures were allowed. Differences in de novo plaque accumulation between a baseline period, and one and seven days of intervention were assessed by the Turesky-modification of the Quigley-and-Hein-Plaque-Index (TM-QHPI). The development of gingivitis after seven days of intervention was assessed by the Gingival Index (GI). Plaque and saliva samples were collected at baseline and after seven days of intervention, and evaluated by 16S rRNA gene sequencing. ResultsAll subjects completed the study, and no adverse events were reported. After one day, the average TM-QHPI was significantly lower in the Active than in the Placebo group, as compared to baseline (p = 0.012). After 7 days, average TM-QHPI values did not differ significantly between groups (p = 0.37). GI values did not increase during the intervention period, with no difference between groups (p = 0.62). Bacterial richness increased in both plaque and saliva samples over a seven-day oral hygiene-free period, with a statistically significant difference for the saliva samples (p = 0.0495) between groups. ConclusionsA multiple-enzymes lozenge decreased the build-up of de novo plaque after one day and slowed down the process of species increment in saliva. The lozenge may be an adjunct to regular mechanical plaque removal. Clinical significanceDental plaque is the main cause of caries, gingivitis, and periodontitis. The search for therapeutic adjuncts to mechanical plaque removal that have no harmful effects on the oral microbiome is important. Treatment with multiple plaque-matrix degrading enzymes is a promising non-biocidal approach to plaque control.

Technological Innovation, Productivity, and Global Value Chains Participation of Philippine Manufacturers

Using a unique dataset on Philippine manufacturers from 2007 to 2011, this study adopts the three‐stage Crépon‐Duguet‐Mairesse model to trace which trade linkages in global value chains (GVCs) contribute to Philippine firms' technological innovation and labor productivity. The results indicate that Philippine GVC suppliers primarily implement incremental process innovations using imported technology and externally sourced knowledge, while internally developed technology is less common. Accordingly, imported rather than indigenous knowledge contributes more to the labor productivity premium of GVC suppliers. Nevertheless, pure exporting is generally unrelated to process and product innovations. These results suggest that the innovation and productivity effects of GVC participation in the Philippines are mainly driven by imports and foreign‐sourced technology. Since suppliers' innovative behavior tend to complement the technological requirements of their production activities, we argue that the results are consistent with Philippine manufacturers' limited participation in technology‐ and innovation‐intensive GVC functions. The implication on long‐run upgrading is discussed.

Convolution and Cross-Correlation of Count Sketches Enables Fast Cardinality Estimation of Multi-Join Queries

With the increasing rate of data generated by critical systems, estimating functions on streaming data has become essential. This demand has driven numerous advancements in algorithms designed to efficiently query and analyze one or more data streams while operating under memory constraints. The primary challenge arises from the rapid influx of new items, requiring algorithms that enable efficient incremental processing of streams in order to keep up. A prominent algorithm in this domain is the AMS sketch. Originally developed to estimate the second frequency moment of a data stream, it can also estimate the cardinality of the equi-join between two relations. Since then, two important advancements are the Count sketch, a method which significantly improves upon the sketch update time, and secondly, an extension of the AMS sketch to accommodate multi-join queries. However, combining the strengths of these methods to maintain sketches for multi-join queries while ensuring fast update times is a non-trivial task, and has remained an open problem for decades as highlighted in the existing literature. In this work, we successfully address this problem by introducing a novel sketching method which has fast updates, even for sketches capable of accurately estimating the cardinality of complex multi-join queries. We prove that our estimator is unbiased and has the same error guarantees as the AMS-based method. Our experimental results confirm the significant improvement in update time complexity, resulting in orders of magnitude faster estimates, with equal or better estimation accuracy.

From Trends to Experiences: Co-Creation with Generative Artificial Intelligence in Developing Interactive Multimedia Applications

The emergence of generative artificial intelligence (GenAI) tools has ushered in new possibilities for creating diverse content, encompassing text, images, sound, videos, 3D objects, and even code for programming languages. Within this dynamic landscape, both significant challenges and opportunities arise in the field of interactive multimedia application development. It is imperative that the evolving trends in the utilization of these tools metamorphose into experiences that not only reflect but also facilitate the replication of models, methods, and development approaches. This paper contributes to the academic discourse by presenting three distinct development experiences. Each experience represents the initial steps of an incremental exploration process, thus contributing to exploratory research in this domain. These experiences are presented as case studies, with the first one analyzed retrospectively, and the latter two deliberately designed to scrutinize the challenges and opportunities associated with integrating generative artificial intelligence into the software development process, playing a significant role in a co-creation process. The results presented are qualitative, with detailed independent analyses for each case study, offering a comprehensive description of the findings. Thus, this paper presents a set of recommendations facilitating the transfer, replication, and improvement of these experiences by other multimedia development labs or teams.

Study on progressive failure mode of surrounding rock of shallow buried bias tunnel considering strain-softening characteristics

Mountain tunnels portal often have to pass through slope terrain unavoidably, thus forming a shallow buried bias tunnel. During the construction of shallow buried bias tunnel, disasters such as slope sliding and tunnel collapse frequently occur. The failure mode of surrounding rock obtained by current research is based on the limit equilibrium theory, which cannot reflect the progressive failure characteristics of the surrounding rock of shallow buried bias tunnel. In order to reveal the failure mechanism of the gradual instability of surrounding rock of shallow buried bias tunnel, the problem of gradual failure of the surrounding rock is reduced to an elastic–plastic analysis problem for surrounding rock considering the strain-softening characteristics. Based on the elastic–plastic analysis of the failure process of shallow buried bias tunnel, MATLAB was used to compile a program to read the finite-difference calculation result file, extract the effective information such as shear strain and tensile strain at the center point of each unit, and establish the analysis method of the progressive failure mode of shallow buried bias tunnel. The reliability of the method proposed was verified by comparing the failure process of the model test with the development process of shear strain increment. Under the condition of no support, the formation mechanism of failure plane of surrounding rock on both sides of shallow buried bias tunnel is different. The shallow buried side is the shear failure plane formed by the collapse of surrounding rock, while the deep buried side of the tunnel is the shear failure plane formed by the collapse of surrounding rock and slope sliding. Under the conditions of excavation and support, the failure plane of the shallow buried bias tunnel can be divided into three parts according to the formation sequence and reasons. The part I is the failure plane, which is formed by active shear under the influence of tunnel excavation. The part II is the failure plane formed by tensile crack of slope top. The part III is the failure plane formed by passive shear under the push of the soil in the upper part of the slope.

Design of flexible partitions for physical distancing in buses in Colombia during COVID-19

The scientific community recognizes that the transport of cargo and passengers is a key factor in the spread of infectious disease pandemics. In particular, during the COVID-19 pandemic, public transport systems have been considered high-risk environments for the transmission of the virus; therefore, in many places around the world, restrictions have been imposed on passenger transport. Although different aspects of transport have been studied during the pandemic, there are still gaps in knowledge about the effect of different means of transport and specific interventions for vehicle design strategies to reduce transmission rates. In this context, this article presents the process of co-designing a flexible partition to divide seats on articulated, standard and complementary vehicles of a bus rapid transit system in a Colombian capital city as a vehicle design strategy to contain the spread of the virus and generate a physical barrier when the physical distance of one meter, as required by national regulations, was unable to be maintained. The design methodology followed an incremental and iterative process of 6 stages until reaching the final design. The process began with the identification of the need, the establishment of the design requirements and determinants, the generation of proposals framed within the requirements, the performance of functionality and cost feasibility tests and the building of the prototype with the chosen design. Additionally, a participatory evaluation was carried out based on the identification of relevant aspects, doubts, criticisms and new contributions to the prioritized prototype. Finally, the generated prototype met the design requirements in addition to a significant cost reduction of 70% compared with the initial proposal by the bus rapid transit. The low cost allows the implementation of the partition throughout the bus fleet, but controlled observational and clinical studies on the effectiveness of the partition in the prevention of COVID-19 are required.

Janus faced: The co-evolution of war and peace in the human species.

The human species presents a paradox. No other species possesses the propensity to carry out coalitionary lethal attacks on adult conspecifics coupled with the inclination to establish peaceful relations with genetically unrelated groups. What explains this seemingly contradictory feature? Existing perspectives, the "deep roots" and "shallow roots" of war theses, fail to capture the plasticity of human intergroup behaviors, spanning from peaceful cooperation to warfare. By contrast, this article argues that peace and war have both deep roots, and they co-evolved through an incremental process over several million years. On the one hand, humans inherited the propensity for coalitionary lethal violence from their chimpanzee-like ancestor. Specifically, having first inherited the skills to engage in cooperative hunting, they gradually repurposed such capacity to execute coalitionary killings of adult conspecifics and subsequently enhanced it through technological innovations like the use of weapons. On the other hand, they underwent a process of cumulative cultural evolution and, subsequently, of self-domestication which led to heightened cooperative communication and increased prosocial behavior within and between groups. The combination of these two biocultural evolutionary processes-coupled with feedback loop effects between self-domestication and Pleistocene environmental variability-considerably broadened the human intergroup behavioral repertoire, thereby producing the distinctive combination of conflictual and peaceful intergroup relations that characterizes our species. To substantiate this argument, the article synthesizes and integrates the findings from a variety of disciplines, leveraging evidence from evolutionary anthropology, primatology, archeology, paleo-genetics, and paleo-climatology.

Sentence processing in bilingual children

Abstract Research in sentence processing in bilingual children is emergent but incomplete as very few studies examine the processing of structurally complex sentences or bilingual children’s real-time interpretation of sentences. One underexplored linguistic feature which can offer insights in this direction are garden-path sentences, i.e., sentences with temporary syntactic ambiguity. These are difficult to process for monolingual children as incremental processing results in an initial misinterpretation and the need for reanalysis. Studies on bilingual children’s processing of garden-path sentences have used paradigms with limited ecological validity and which are not informative about one’s interpretation while listening. This study bridges this gap by investigating the processing of garden-path sentences in bilingual children with the visual-world eye-tracking paradigm. It further explores the role of referential context in the visual stimuli to aid disambiguation. Monolingual and bilingual children aged 8–11 years completed a task similar to Trueswell et al. (1999). The results showed similar difficulty with revising garden-path sentences as evidenced by comprehension accuracy for both groups but only the monolinguals showed real-time garden-path effects in the gaze data. We interpret these findings as a manifestation of slower sentence processing in bilingual children. Both groups made limited use of the referential context to facilitate processing.

Comparison of incremental encoder digital signal processing techniques for theinduction motor flux-torque vector control systems

The articlepresents the results of a study on the effectiveness of varioustechniques forsynchronous reference frame angular position numerical calculation in flux-torque vector control system of induction motor.Investigation was caried out taking into account the discrete nature of the angular speedsignal obtained using an incremental encoder. In this workfor investigation by simulation useda direct torque vector control system, which, in the presence of an ideal rotor angular speedsignal, ensures direct asymptotic field orientation, asymptotic tracking of torque-flux referencetrajectories, as well as asymptotic decouplingtorque and flux subsystems. The parameters of the inductionmotor and encoder used in the study correspond to those existing in traction electromechanical systems of city trolleybuses. It is shown that the discrete nature of the angular speedsignal, which usedin synchronous reference frameposition equation of flux-torque vector control systems, introduces field orientation errors and leads to current and torque ripples, which in a real system increase acoustic noise and can cause mechanical vibrations and resonance phenomena. An analysis of possible ways to reduce the influence of the speed signal discreteness on flux-torque control is performed, and a method for practical implementation of the synchronous reference frame angular position numerical calculationis proposed. This method allows ensuring conditions for more precisefield orientation and, by using an additional filter for the angular speedsignal, reducing the level of current and torque ripplesto negligibly small values without affecting the field orientation processes. The proposed solution can be used in the development of high dynamicflux-torque vector control systems for inductionmotors using incremental encoders, including for electric vehicles.

Systematic hierarchical analysis of requirements for critical systems

AbstractSafety and security are key considerations in the design of critical systems. Requirements analysis methods rely on the expertise and experience of human intervention to make critical judgements. While human judgement is essential to an analysis method, it is also important to ensure a degree of formality so that we reason about safety and security at early stages of analysis and design, rather than detect problems later. In this paper, we present a hierarchical and incremental analysis process that aims to justify the design and flow-down of derived critical requirements arising from safety hazards and security vulnerabilities identified at the system level. The safety and security analysis at each level uses STPA-style action analysis to identify hazards and vulnerabilities. At each level, we verify that the design achieves the safety or security requirements by backing the analysis with formal modelling and proof using Event-B refinement. The formal model helps to identify hazards/vulnerabilities arising from the design and how they relate to the safety accidents/security losses being considered at this level. We then re-apply the same process to each component of the design in a hierarchical manner. Thus, we use hazard and vulnerability analysis, together with refinement-based formal modelling and verification, to drive the design, replacing the system level requirements with component requirements. In doing so, we decompose critical system-level requirements down to component-level requirements, transforming them from abstract system level requirements, towards concrete solutions that we can implement correctly so that the hazards/vulnerabilities are mitigated.