Functional Architecture Research Articles

ANALISIS PERANCANGAN ARSITEKTUR ENTERPRISE DINAS PETERNAKAN MENGGUNAKAN TOGAF ADM 9.2 (STUDI KASUS: FUNGSI VAKSINASI HEWAN PADA DINAS PETERNAKAN BANDUNG BARAT)

This study analyzes and plans an enterprise architecture for the animal vaccination function at the Department of Fisheries and Animal Husbandry of West Bandung Regency. Animal vaccination is a crucial step in maintaining health and protecting animal populations from diseases. The author employs the TOGAF ADM (The Open Group Architecture Framework - Architecture Development Method) approach to analyze the animal vaccination process and identify necessary improvements. The vaccination steps, workflow, and responsibilities of various stakeholders are evaluated using the TOGAF ADM. Stages such as defining business architecture, data, applications, and information technology are applied in this analysis. The current information technology infrastructure is also analyzed to identify the suitable needs of the enterprise architecture. The results are expected to provide recommendations for improving the animal vaccination process at the Department of Fisheries and Animal Husbandry of West Bandung Regency. With an enterprise architecture based on TOGAF ADM, it is anticipated that the efficiency of animal vaccination implementation can be enhanced. These recommendations can serve as a guide for similar institutions in optimizing the animal vaccination process. In other words, this research bridges the theory of enterprise architecture with practical applications in the context of animal vaccination, yielding potential solutions to enhance process efficiency and effectiveness.

Construction of Online Interactive Teaching Platform for College English Based on Multilayer Perceptual Machine Modeling

Abstract Most of the existing English online teaching platforms are just digital replicas of offline teaching, which cannot fully utilize the advantages of information technology. Based on the learning theory of constructivism, this paper builds the functional architecture of a personalized English interactive teaching platform and completes the design of the main functional modules. According to the quantitative results of the platform’s user proposition requirements, a matrix description method for English test papers is proposed, and an algorithm is designed to realize the automatic generation of test papers. Meanwhile, the resource recommendation mechanism of the English platform is optimized using a multilayer perceptual machine. Unstructured English learning resources are processed based on the word vector representation method, and for the problem of insufficient processing of nonlinear data in the DN-CBR model, multilayer training is carried out using the MLP to improve the perceptual degree of this part of the data, and the design goals are verified through the test of the teaching platform. The correlation coefficient between self-assessment difficulty and topic difficulty is 0.368, and the correlation coefficient between self-assessment difficulty and positive error is 0.163, indicating that there is a moderate correlation between learners’ self-assessment difficulty and the difficulty of the system topics and between learners’ self-assessment difficulty and positive error. The MLP-based pushed questions’ difficulty is adapted to the learner’s personalization level by dynamically revising it based on their learning process data.

A Three-State Space Modeling Method for Aircraft System Reliability Design

Reliability is an inherent attribute of a system through optimal system design. However, during the aircraft system development process, the reliability evaluation and system function design efforts are often disconnected, leading to a divide between reliability experts and system designers in their work schedule. This disconnect results in an inefficient aircraft system reliability optimization process, known as the “two-skin” phenomenon. To address this issue, a three-state space model is proposed. Firstly, an analysis was conducted on the relationship between the system function architecture developed by the system designers and the reliability evaluation performed by the reliability experts. Secondly, based on the principle of function flow, the state of failure was categorized into “physical failure” and “non-physical failure”. Additionally, a new state of “function loss” was introduced as the third state for the system, in addition to the traditional states of “normal” and “faulty”. Thirdly, through the state of “Function loss”, an effective integration of system fault modes and function modes was achieved, leading to an optimized system reliability model. A three-state space modeling method was then developed by transforming the system function architecture into a system reliability model. Finally, this new model was applied to an aircraft’s rudder and fly-by-wire control system. The results demonstrate that the function architecture at the design stage of the system can be accurately transformed into the new three-state space model. The structure aligns closely with the function architecture and can be effectively utilized in quantitative system reliability calculations. In this way, the process of ensuring system reliability can be seamlessly integrated into the system optimization design process. This integration alleviates the issue of disjointed work between reliability experts and system designers, leading to a more streamlined and efficient aircraft system optimization process.

Influence of dispersant functional group architecture on titania pigment particle interactions

Ensuring discrete dispersion of pigment particles is crucial to maintain their separation during processing and storage, and to achieve the desired properties in coatings. To facilitate dispersion and prevent aggregation, the stability of the dispersant along with the chemical interaction between pigment particles and dispersants is critical. This study was conducted to investigate the interaction between robust dispersants containing thermally stable carboxylate and phosphonate functional groups and the titania pigment surface at pH values experienced in pigment manufacturing as well as in application. The study found that the interaction depends on the type of group, the distribution density of the group, and the solution pH. Dispersant adsorption can occur under both alkaline and acidic solution conditions, with the adsorption density increasing when the pH is reduced or the carboxylate group density is increased. At pH 9.5, dispersant adsorption affinity and density is low, and hydrogen bonding occurs in addition to phosphate group chemisorption. At pH 5.5, both the adsorption affinity and density significantly increase due to electrostatic interactions between carboxylate and/or phosphonate groups and the pigment surface, combined with phosphate group driven chemisorption. Linear carboxylate-phosphonate copolymers and carboxylate dispersants present at the pigment surface provide electrostatic stabilisation while branched copolymers provide both electrostatic and steric stabilisation. The synergistic physical and chemical interaction combined with dispersion stability may lead to improved titania pigment suspensions using branched copolymer dispersants.

Abnormal interhemispheric functional cooperation in schizophrenia follows the neurotransmitter profiles.

Interhemispheric cooperation is one of the most prominent functional architectures of the human brain. In patients with schizophrenia, interhemispheric cooperation deficits have been reported using increasingly powerful neurobehavioural and neuroimaging measures. However, these methods rely in part on the assumption of anatomic symmetry between hemispheres. In the present study, we explored interhemispheric cooperation deficits in schizophrenia using a newly developed index, connectivity between functionally homotopic voxels (CFH), which is unbiased by hemispheric asymmetry. Patients with schizophrenia and age- and sexmatched healthy controls underwent multimodal MRI, and whole-brain CFH maps were constructed for comparison between groups. We examined the correlations of differing CFH values between the schizophrenia and control groups using various neurotransmitter receptor and transporter densities. We included 86 patients with schizophrenia and 86 matched controls in our analysis. Patients with schizophrenia showed significantly lower CFH values in the frontal lobes, left postcentral gyrus and right inferior temporal gyrus, and significantly greater CFH values in the right caudate nucleus than healthy controls. Moreover, the differing CFH values in patients with schizophrenia were significantly correlated with positive symptom score and illness duration. Functional connectivity within frontal lobes was significantly reduced at the voxel cluster level compared with healthy controls. Finally, the abnormal CFH map of patients with schizophrenia was spatially associated with the densities of the dopamine D1 and D2 receptors, fluorodopa, dopamine transporter, serotonin transporter and acetylcholine transporter. Regional abnormalities in interhemispheric cooperation may contribute to the clinical symptoms of schizophrenia. These CFH abnormalities may be associated with dysfunction in neurotransmitter systems strongly implicated in schizophrenia.

Cascading effects from soil to maize functional traits explain maize response to microplastics disturbance in multi-nutrient soil environment

Microplastics (MPs) is a major threat to agroecosystems. Their accumulation and impacts should be evaluated to advance our understanding of soil function and health. Uncovering the role of cascade effects in regulating crop growth is crucial to understanding the link between MPs disturbance and environmental functions. Therefore, we aimed to assess how the cascade changes between (non-) biological factors and functional traits of maize regulate the response of maize growth to MPs in different nutrient soil environments. We found that soil dehydration induced by MPs may disrupt the balance of the physiological status of maize, negatively affect photosynthetic performance, and enhance competition among organisms for limited nutrients. However, root-responsive nutrient cues with a high degree of tectonic freedom allowed adaptive phenotypic plasticity to occur, masking the negative effects of MPs. In nutrient-rich soil environments, moderate and high intensity (>0.5 %) MPs disturbances initiated root nutrient foraging activities, and maize tended to decrease its cost of investing in root construction, i.e., increasing specific root length (SRL) to promote its own growth. The growth of maize was mainly characterized by increases in the belowground biomass (BGB, 7.11 to 20.81 g) and aboveground biomass (AGB, 61.11 to 118.26 g). Our study suggests that a cascade effect between environmental factors initiated by MPs and the functional architecture of the maize root system drives maize to regulate its growth by responding to nutrient cues. These findings will help to ensure food security, formulate environmental risk management policies and protect soil health, especially in the context of future agriculture.

Nonlinear and Emissive {[MIII(CN)6]3-···Polyresorcinol} (M = Fe, Co, Cr) Cocrystals Exhibiting an Ultralow Frequency Raman Response.

Optically active functional noncentrosymmetric architectures might be achieved through the combination of molecules with inscribed optical responses and species of dedicated tectonic character. Herein, we present the new series of noncentrosymmetric cocrystal salt solvates (PPh4)3[M(CN)6](L)n·msolv (M = Cr(III), Fe(III), Co(III); L = polyresorcinol coformers, multiple hydrogen bond donors: 3,3',5,5'-tetrahydroxy-1,19-biphenyl, DiR, n = 2, or 5'-(3,5-dihydroxyphenyl)-3,3″,5,5″-tetrahydroxy-1,19:3',1″-terphenyl, TriRB, n = 1) denoted as MDiR and MTriRB, respectively. The hydrogen-bonded subnetworks {[M(CN)6]3-;Ln}∞ of dmp, neb, or dia topology are formed through structural matching between building blocks within supramolecular cis-bis(chelate)-like {[M(CN)6]3-;(H2L)2(HL)2} or tris(chelate)-like {[M(CN)6]3-;(H2L)3} fragments. The quantum-chemical analysis demonstrates the mixed electrostatic and covalent character of these interactions, with their strength clearly enhanced due to the negative charge of the hydrogen bond acceptor metal complex. The corresponding interaction energy is also dependent on the geometry of the contact and size matching of its components, rotational degree of freedom and extent of the π-electron system of the coformer, and overall fit to the molecular surroundings. Symmetry of the crystal lattices is correlated with the local symmetry of coformers and {complex;(coformer)n} hydrogen-bonded motifs characterized by the absence of the inversion center and mirror plane. All compounds reveal second-harmonic generation activity and photoluminescence diversified by individual UV-vis spectral characteristics of the components, and interesting low-frequency Raman scattering spectra within the subterahertz spectroscopic domain. Vibrational (infrared/Raman), UV-vis electronic absorption (experimental and calculated), and 57Fe Mössbauer spectra together with electrospray ionization mass spectrometry (ESI-MS) data are provided for the complete description of our systems.

Biointerface Fiber Technology from Electrospinning to Inflight Printing.

Building two-dimensional (2D) and three-dimensional (3D) micro- and nanofibril structures with designable patterns and functionalities will offer exciting prospects for numerous applications spanning from permeable bioelectronics to tissue engineering scaffolds. This Spotlight on Applications highlights recent technological advances in fiber printing and patterning with functional materials for biointerfacing applications. We first introduce the current state of development of micro- and nanofibers with applications in biology and medical wearables. We then describe our contributions in developing a series of fiber printing techniques that enable the patterning of functional fiber architectures in three dimensions. These fiber printing techniques expand the material library and device designs, which underpin technological capabilities from enabling fundamental studies in cell migration to customizable and ecofriendly fabrication of sensors. Finally, we provide an outlook on the strategic pathways for developing the next-generation bioelectronics and "Fiber-of-Things" (FoT) using nano/micro-fibers as architectural building blocks.

SPECIAL PURPOSE COMMUNICATION SYSTEMS

The article discusses the principles of human-machine control communication systems for special purposes, which belong to the class of controlled systems. In addition, the authors' attention is drawn to the methodological principles of the study of such systems; the functional architecture of a special purpose communication system (SPCS) in the form of a three-level conceptual model is considered. The most general methodological principles of communication system research, considered in the work is a systematic approach. Within the framework of this approach, an interconnected special-purpose communication system is considered as an integral part of the control system of higher-order systems. The authors believe that the methodology of the study of such systems is mainly based on a combination of methods of induction (from particular to complex) and deduction (decomposition), that is, consideration from general to particular, from simple to complex. The hierarchy of the SPCS description is used as a method of eliminating contradictions between simplicity and taking into account the remaining multiple parameters of the system. Each level of the hierarchy corresponds to specific features, functions, laws and principles, terms and concepts, using which it is best possible to predict and describe the functioning of the SPCS.

Stimuli-Responsive Boronate Formation to Control Nucleic Acid-Based Functional Architectures.

Boronate esters, formed by the reaction of an oligonucleotide bearing a 5'-boronic acid moiety with the 3'-terminal cis-diol of another oligonucleotide, support the assembly of functional nucleic acid architectures. Reversible formation of boronate esters occurs in templated fashion and has been shown to restore the activity of split DNA and RNA enzymes as well as a split fluorescent light-up aptamer. Apart from their suitability for the design and application of split nucleic acid enzymes and aptamers in the field of biosensing, boronate esters may have played an important role in early life as surrogates of the natural phosphodiester bond. Their formation is reversible and thus fulfills an important requirement for biological self-assembly. Here we discuss the general concept of stimuli-dependent boronate formation and its application in biomolecules with implications for future research.

TESTING THE INFORMATION SYSTEM FOR MONITORING HARDWARE STATUS

This article presents an algorithm for testing an information system for monitoring the status of hardware. The purpose of this testing algorithm is to check the compliance of the system behavior with the requirements specified by the formal model, which were used in formal verification. The article discusses various methods for constructing multi-level models, new opportunities that can be extracted through a combination of functional specifications and implementation architecture specifications, limitations that have to be taken into account when organizing testing and monitoring of various hardware states. The need to create, provide and support universal and reliable algorithmic, information and software for testing the hardware monitoring information system has been established. The development and debugging of the developed software and software for the specified research purposes were presented.

Reversible deactivation of motor cortex reveals that areas in parietal cortex are differentially dependent on motor cortex for the generation of movement.

Primates are characterized by specializations for manual manipulation, including expansion of posterior parietal cortex (PPC) and, in Catarrhines, evolution of a dexterous hand and opposable thumb. Previous studies examined functional interactions between motor cortex and PPC in New World monkeys and galagos, by inactivating M1 and evoking movements from PPC. These studies found that portions of PPC depend on M1 to generate movements. We now add a species that more closely resembles humans in hand morphology and PPC: macaques. Inactivating portions of M1 resulted in all evoked movements being reduced (28%) or completely abolished (72%) at the PPC sites tested (in areas 5L, PF, and PFG). Anterior parietal area 2 was similarly affected (26% reduced and 74% abolished) and area 1 was the least affected (12% no effect, 54% reduced, and 34% abolished). Unlike previous studies in New World monkeys and galagos, interactions between both nonanalogous (heterotopic) and analogous (homotopic) M1 and parietal movement domains were commonly found in most areas. These experiments demonstrate that there may be two parallel networks involved in motor control: a posterior parietal network dependent on M1 and a network that includes area 1 that is relatively independent of M1. Furthermore, it appears that the relative size and number of cortical fields in parietal cortex in different species correlates with homotopic and heterotopic effect prevalence. These functional differences in macaques could contribute to more numerous and varied muscle synergies across major muscle groups, supporting the expansion of the primate manual behavioral repertoire observed in Old World monkeys.NEW & NOTEWORTHY Motor cortex and anterior and posterior parietal cortex form a sensorimotor integration network. We tested the extent to which parietal areas could initiate movements independent of M1. Our findings support the contention that, although areas 2, 5L, PF, and PFG are highly dependent on M1 to produce movement, area 1 may constitute a parallel corticospinal pathway that can function somewhat independently of M1. A similar functional architecture may underlie dexterous tool use in humans.

3D Printing Manufacturing of Lithium Batteries: Prospects and Challenges toward Practical Applications.

The manufacturing and assembly of components within cells have a direct impact on the sample performance. Conventional processes restrict the shapes, dimensions, and structures of the commercially available batteries. 3D printing, a novel manufacturing process for precision and practicality, is expected to revolutionize the lithium battery industry owing to its advantages of customization, mechanization, and intelligence. This technique can be used to effectively construct intricate 3D structures that enhance the designability, integrity, and electrochemical performance of both liquid- and solid-state lithium batteries. In this study, an overview of the development of 3D printing technologies is provided and their suitability for comparison with conventional printing processes is assessed. Various 3D printing technologies applicable to lithium-ion batteries have been systematically introduced, especially more practical composite printing technologies. The practicality, limitations, and optimization of 3D printing are discussed dialectically for various battery modules, including electrodes, electrolytes, and functional architectures. In addition, all-printed batteries are emphatically introduced. Finally, the prospects and challenges of 3D printing in the battery industry are evaluated.

A Functional Perspective on the Emergence of Dominant Designs

Abstract Models of long-term product innovation depict the trajectory of products through an evolutionary selection metaphor in which product designs converge toward a dominant design. The product innovation literature favors trajectory descriptions based on the physical architecture of products while neglecting to account for the functional architecture. This paper offers a new way to explain the life cycle of product innovation by identifying motifs that describe a product’s functions. Functional motifs are recurrent function blocks across multiple generations of designs for a product. A collection of functional motifs defines the functional architecture of the product. Using some key examples from innovations in sewing machines, the paper illustrates the occurrence of motifs as the basis for detecting the emergence of a dominant design. Patents related to the sewing machine over 177 years are analyzed to identify functional motifs characterizing the evolution and convergence toward a dominant design. Results show that motifs do not change over long periods once a dominant design emerges, even though components continue to change. This observation confirms a view of dominant designs as a technological frame but refutes the notion that design no longer matters in the era of incremental change. These motifs refine our understanding of how designs evolve along a particular path over the course of product innovation.

CHESSIoT: A model-driven approach for engineering multi-layered IoT systems

Context:The current technology revolution, which places the highest value on people’s welfare, is frequently seen as being mainly supported by Internet of Things (IoT) technologies. IoT is regarded as a powerful multi-layered network of systems that integrates several heterogeneous, independently networked (sub-)systems working together to achieve a shared purpose. Objective:In this article, we present CHESSIoT, a model-driven engineering environment that integrates high-level visual design languages, software development, safety analysis, and deployment approaches for engineering multi-layered IoT systems. With CHESSIoT, users may conduct different engineering tasks on system and software models under development to enable earlier decision-making and take prospective measures, all supported by a unique environment. Methodology:This is achieved through multi-staged designs, most notably the physical, functional, and deployment architectures. The physical model specification is used to perform both qualitative and quantitative safety analysis by employing logical Fault-Trees models (FTs). The functional model specifies the system’s functional behavior and is later used to generate platform-specific code that can be deployed on low-level IoT device nodes. Additionally, the framework supports modeling the system’s deployment plan and run-time service provisioning, which would ultimately be transformed into deployment configuration artifacts ready for execution on remote servers. Results:To showcase the effectiveness of our proposed approach, as well as the capability of the supporting tool, a multi-layered Home Automation system (HAS) scenario has been developed covering all its design, development, analysis, and deployment aspects. Furthermore, we present the results from different evaluation mechanisms which include a comparative analysis and a qualitative assessment. The evaluation mechanisms target mainly completeness of CHESSIoT by addressing specific research questions.

Reshaping the Digital Twin Construct with Levels of Digital Twinning (LoDT)

While digital twins (DTs) have achieved significant visibility, they continue to face a problem of lack of harmonisation regarding their interpretation and definition. This diverse and interchangeable use of terms makes it challenging for scientific activities to take place and for organisations to grasp the existing opportunities and how can these benefit their businesses. This article aims to shift the focus away from debating a definition for a DT. Instead, it proposes a conceptual approach to the digital twinning of engineering physical assets as an ongoing process with variable complexity and evolutionary capacity over time. To accomplish this, the article presents a functional architecture of digital twinning, grounded in the foundational elements of the DT, to reflect the various forms and levels of digital twinning (LoDT) of physical assets throughout their life cycles. Furthermore, this work presents UNI-TWIN—a unified model to assist organisations in assessing the LoDT of their assets and to support investment planning decisions. Three case studies from the road and rail sector validate its applicability. UNI-TWIN helps to redirect the discussion around DTs and emphasise the opportunities and challenges presented by the diverse realities of digital twinning, namely in the context of engineering asset management.

Integrating Aerial and 3D Data into a Data-Driven Decision-Making Workflow for Nature-Based Stormwater Solutions

Urbanization and climate change have increased the need for stormwater management and nature-based solutions. Decisions made at the project level impact the emergence of the systemic traits of the stormwater network and the functionality of the catchment areas in urban planning. To that end, it is vital to introduce the decision-making tools for analysing both the utilities and amenities of nature-based solutions (NBS) to increase their adoption to reduce the peak loads in the stormwater system and, to that end, mitigate the impacts of climate change. There is a deficiency in employing a software-based approach to analyse the qualitative and quantitative aspects of NBSs to back up design decisions. This paper demonstrates a workflow using drone-based photogrammetry, 3D modelling, and simulation software to generate visual and functional models assisting in informed decision-making in the design of stormwater systems as functional landscape architecture. Using aerial data from drones and modelled design solutions, the proposed workflow simulates rain events, infiltration, evaporation, water flow, and the accumulation of stormwater in a way that allows the visual and quantified analysis of detailed landscape architecture designs. The paper provides an example of a rooftop site simulation demonstrating the infiltration and flow of water to the drainage. The visual decision-making method provided can aid in investment decisions for functional landscape design in support of stormwater management.

Diversity of leaf architecture and its relationships with climate in extant and fossil plants

In this contribution, the diversity of functional leaf architecture and its association with climate is studied for extant woody dicot species of North America and Europe/South West Asia. The results are compared to fossil leaves of seventeen locations in Central Europe ranging from the Paleogene to Neogene. Four functional leaf traits, lobation, margin, type of primary and secondary venation, were selected as defining sixteen basic functional architectures (Trait Combination Types, TCT). Diversity of leaf architecture was studied as Shannon diversity (meaning frequency and evenness of TCT occurrence) as realized by site-specific species composition. The extant data indicate significant positive correlations of Shannon diversity of leaf architecture with temperature particularly for North America. After having reached a peak at about 18 °C MAT, functional diversity of leaf architecture then declines in North America with rising MAT. This decline occurs mostly for drier sites, probably because humidity becomes more influential at higher MAT, with low water availability driving selective pressure towards adaptive convergence. The data indicate that warm environments are able to accommodate a higher variety of leaf types than colder environments, unless water supply is scarce. The fossil data essentially agree with the recent data, with the exception of sites harbouring fossil leaves preserved in marine sediments. Here, the diversity of leaf architecture is lower which is probably due to taphonomic bias. Highest leaf architecture diversity was found for the Pliocene sites, although no distinct relationship with stratigraphic age could be identified. The results of this study indicate that diversity of leaf architecture may be a useful source of information for palaeoecology and palaeoclimate and merits further study.

The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains.

Quantifying how brain functional architecture differs from person to person is a key challenge in human neuroscience. Current individualized models of brain functional organization are based on brain regions and networks, limiting their use in studying fine-grained vertex-level differences. In this work, we present the individualized neural tuning (INT) model, a fine-grained individualized model of brain functional organization. The INT model is designed to have vertex-level granularity, to capture both representational and topographic differences, and to model stimulus-general neural tuning. Through a series of analyses, we demonstrate that (a) our INT model provides a reliable individualized measure of fine-grained brain functional organization, (b) it accurately predicts individualized brain response patterns to new stimuli, and (c) for many benchmarks, it requires only 10-20 minutes of data for good performance. The high reliability, specificity, precision, and generalizability of our INT model affords new opportunities for building brain-based biomarkers based on naturalistic neuroimaging paradigms.

Facilely fabricated Janus polymer film for actuator and self-powered sensor

Janus polymer films (JPFs) have drawn increasing attention recently, owing to their distinct surface performance and potential applications. However, it still remains challenged to fabricate robust JPFs for actuator and self-powered sensor by a facile method. Herein, via facile vacuum-assisted hot-compressing method (VAHM) and spray coating, JPFs were successfully prepared, whose electrode and piezoelectric/actuation layer are respectively single-walled carbon nanotubes (SWCNTs) layer and micropatterned polyvinylidene fluoride (PVDF) layer. Moreover, JPFs show decent actuation performance (bending to 990° in 0.93 s) because of high molecular orientation level and asymmetric swelling of micropatterned surfaces. Meanwhile, such JPFs show rapid self-powered sensing property (response and recovery time of 1.3 s and 1.2 s, respectively) when deformed in acetone vapor, because of the inherent piezoelectricity of PVDF. Accordingly, a real-time acetone monitoring (RTAM) system was successfully constructed in virtue of Internet of Things (IoT) technology. This work proposes a facile way to develop low-cost and durable JPFs, and further combines actuation performance with self-powered sensing property, paving a creative way to construct functional architecture based on the concept of polymer “structuring” processing.