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The loss of a single chromosome in a diploid organism halves the dosage of many genes and is usually accompanied by a substantial decrease in fitness. We asked whether this decrease simply reflects the joint damage caused by individual gene dosage deficiencies. We measured the fitness effects of single heterozygous gene deletions in yeast and combined them for each chromosome. This predicted a negative growth rate, that is, lethality, for multiple monosomies. However, monosomic strains remained alive and grew as if much (often most) of the damage caused by single mutations had disappeared, revealing an exceptionally large and positive epistatic component of fitness. We looked for functional explanations by analyzing the transcriptomes. There was no evidence of increased (compensatory) gene expression on the monosomic chromosomes. Nor were there signs of the cellular stress response that would be expected if monosomy led to protein destabilization and thus cytotoxicity. Instead, all monosomic strains showed extensive upregulation of genes encoding ribosomal proteins, but in an indiscriminate manner that did not correspond to their altered dosage. This response did not restore the stoichiometry required for efficient biosynthesis, which probably became growth limiting, making all other mutation- induced metabolic defects much less important. In general, the modular structure of the cell leads to an effective fragmentation of the total mutational load. Defects outside the module(s) currently defining fitness lose at least some of their relevance, producing the epiphenomenon of positive interactions between individually negative effects. [ABSTRACT FROM AUTHOR]

Errors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well- known error patterns typically associated with visual orientation perception. Recent experiments suggest that these errors continuously evolve during working memory, posing a challenge that neither static sensory models nor traditional memory models can address. Here, we demonstrate that these evolving errors, maintaining characteristic shapes, require network interaction between two distinct modules. Each module fulfills efficient sensory encoding and memory maintenance, which cannot be achieved simultaneously in a single- module network. The sensory module exhibits heterogeneous tuning with strong inhibitory modulation reflecting natural orientation statistics. While the memory module, operating alone, supports homogeneous representation via continuous attractor dynamics, the fully connected network forms discrete attractors with moderate drift speed and nonuniform diffusion processes. Together, our work underscores the significance of sensory- memory interaction in continuously shaping stimulus representation during working memory. [ABSTRACT FROM AUTHOR]

This research addresses energy consumption challenges in the design and construction of concrete freeform surface architecture. It proposes an integrated design approach centered on smooth poly-hypar surfaces, serving as a mediator to amalgamate architectural smoothness, structural stiffness, construction convenience, and building energy efficiency from the initial design phase. To testify the versatile functionality of smooth poly-hypar surfaces beyond structural loadbearing, they are employed in the design and construction of a Solar house—a prototype aimed at establishing an energy-efficient modular design and construction system for concrete-freeform surface buildings. This approach capitalizes on the unique structural and geometrical properties offered by smooth poly-hypar surfaces. By leveraging this special geometry, the methodology transcends individual stages, encompassing the entire integrated process and overcoming limitations associated with traditional sequential design strategies. It underscores the interconnected nature of design, construction, and sustainability considerations. [ABSTRACT FROM AUTHOR]

Optimization of tower crane positioning is essential in precast building construction to ensure that a crane is in the right position to offer the best value for placing precast elements. The first goal is the optimization of transportation distances made by tower cranes, which will address the issues of efficiency and cost. This is done in a way that provides for minimization of the distances that lie between the trailer parking where elements are parked, the tower crane, and the construction installation point. However, current research fails to address the dynamic movement efficiency of trailers, especially when handling multiple trailers and several models of tower cranes, making this scenario an optimization problem that is classified as NP-hard due to the likelihood of causing a combinatorial explosion. This work endeavors to present a new mathematical model that has been applied to the Genetic Algorithm (GA). The ideal demand-generated model is designed to solve the optimal model and position of tower cranes and the prospective positioning of trailers for parking. The feasibility and applicability of the method exploited in the study are also established through a project case study. When adopting the proposed planning model compared to the earlier planning scale, comparisons highlight a small yet significant saving of 6% in time and cost when lifting elements instead of providing them from the trailers by setting up a new on-site stockyard. In addition, a great deal of enhancement is also observed in the final solution aspects, where the developed GA has even reduced the operational time and cost by half a percent each. The results of this research offer best-practice approaches to the position analysis of tower cranes in precast building construction to bring scalability and cost optimization to bear on the construction business. [ABSTRACT FROM AUTHOR]

This manuscript critically evaluates the potential of modular construction as a viable remedy to the ongoing housing crisis in the UK. In light of the escalating construction costs and the long-standing lack of productivity gains in the residential construction sector, there is in fact an urgent need to explore innovative solutions to address the scarcity of affordable housing. The study delves then into the feasibility and effectiveness of modular construction in providing cost-efficient and sustainable housing alternatives, particularly for the working-class population. Through a comprehensive analysis of construction trends and methodologies, and stakeholder perspectives, this research aims to illuminate the advantages and limitations of modular construction compared to traditional building techniques. Drawing upon data sourced from construction professionals, and government records, the study assesses crucial factors such as construction timelines, financial implications, design adaptability, and overall efficacy in tackling the housing crisis. The findings of this study are poised to offer valuable insights into the potential role of modular construction in transforming housing solutions in the UK. By examining the intersection of housing demand, construction practices, and technological advancements, the manuscript seeks to inform decision-making processes in both public and private sectors. Ultimately, the objective is to identify strategies that can facilitate the widespread adoption of modular construction as a sustainable and scalable solution to the housing crisis, in line also with the principles of the circular economy, thereby enhancing access to safe, affordable, and high-quality housing for all segments of society. [ABSTRACT FROM AUTHOR]

Programmable matter refers to material that can be programmed to alter its physical properties, including its shape. Such matter can be built as a lattice of attached robotic modules, each seen as an autonomous agent with communication and motion capabilities. Self-reconfiguration consists in changing the initial arrangement of modules to form a desired goal shape, and is known to be a complex problem due to its algorithmic complexity and motion constraints. In this paper, we propose to use a max-flow algorithm as a centralized global planner to determine the concurrent paths to be traversed by modules through a porous structure composed of 3D Catoms meta-modules with the aim of increasing the parallelism of motions, and hence decreasing the self-reconfiguration time. We implement a traffic light system as a distributed asynchronous local planning algorithm to control the motions to avoid collisions. We evaluated our algorithm using VisibleSim simulator on different self-reconfiguration scenarios and compared the performance with an existing fully distributed synchronous self-reconfiguration algorithm for similar structures. The results show that the new method provides a significant gain in self-reconfiguration time and energy efficiency. [ABSTRACT FROM AUTHOR]

Decentralized applications (DApps) built on blockchain platforms such as Ethereum and coded in languages such as Solidity, have recently gained attention for their potential to disrupt traditional centralized systems. Despite their rapid adoption, limited research has been conducted to understand the underlying code structure of these applications. In particular, each DApp is composed of multiple smart contracts, each containing a number of functions that can be called to trigger a specific event, e.g., a token transfer. In this paper, we reconstruct and analyse the network of contracts and functions calls within the DApp, which is helpful to unveil vulnerabilities that can be exploited by malicious attackers. We show how decentralization is architecturally implemented, identifying common development patterns and anomalies that could influence the system's robustness and efficiency. We find a consistent network structure characterized by modular, self-sufficient contracts and a complex web of function interactions, indicating common coding practices across the blockchain community. Critically, a small number of key functions within each DApp play a central role in maintaining network connectivity, making them potential targets for cyber attacks and highlighting the need for robust security measures. [ABSTRACT FROM AUTHOR]

The modular structure of functional connectomes in the human brain undergoes substantial reorganization during development. However, previous studies have implicitly assumed that each region participates in one single module, ignoring the potential spatial overlap between modules. How the overlapping functional modules develop and whether this development is related to gray and white matter features remain unknown. Using longitudinal multimodal structural, functional, and diffusion MRI data from 305 children (aged 6 to 14 years), we investigated the maturation of overlapping modules of functional networks and further revealed their structural associations. An edge-centric network model was used to identify the overlapping modules, and the nodal overlap in module affiliations was quantified using the entropy measure. We showed a regionally heterogeneous spatial topography of the overlapping extent of brain nodes in module affiliations in children, with higher entropy (i.e., more module involvement) in the ventral attention, somatomotor, and subcortical regions and lower entropy (i.e., less module involvement) in the visual and default-mode regions. The overlapping modules developed in a linear, spatially dissociable manner, with decreased entropy (i.e., decreased module involvement) in the dorsomedial prefrontal cortex, ventral prefrontal cortex, and putamen and increased entropy (i.e., increased module involvement) in the parietal lobules and lateral prefrontal cortex. The overlapping modular patterns captured individual brain maturity as characterized by chronological age and were predicted by integrating gray matter morphology and white matter microstructural properties. Our findings highlight the maturation of overlapping functional modules and their structural substrates, thereby advancing our understanding of the principles of connectome development. [ABSTRACT FROM AUTHOR]

Type-A γ-aminobutyric acid (GABAA) receptors are channel proteins crucial to mediating neuronal balance in the central nervous system (CNS). The structure of GABAA receptors allows for multiple binding sites and is key to drug development. Yet the formation mechanism of the receptor's distinctive pentameric structure is still unknown. This study aims to investigate the role of three predominant subunits of the human GABAA receptor in the formation of protein pentamers. Through purifying and refolding the protein fragments of the GABAA receptor α1, β2, and γ2 subunits, the particle structures were visualised with negative staining electron microscopy (EM). To aid the analysis, AlphaFold2 was used to compare the structures. Results show that α1 and β2 subunit fragments successfully formed homo-oligomers, particularly homopentameric structures, while the predominant heteropentameric GABAA receptor was also replicated through the combination of the three subunits. However, homopentameric structures were not observed with the γ2 subunit proteins. A comparison of the AlphaFold2 predictions and the previously obtained cryo-EM structures presents new insights into the subunits' modular structure and polymerization status. By performing experimental and computational studies, a deeper understanding of the complex structure of GABAA receptors is provided. Hopefully, this study can pave the way to developing novel therapeutics for neuropsychiatric diseases. [ABSTRACT FROM AUTHOR]

Incorporating AC-type flying capacitors (FC) between series-connected devices is an effective way to enhance the rated voltage for high-power applications based on current source converters (CSCs). Through appropriate modulation and FC voltage control, it is possible to achieve improved DC bus voltage quality with reduced common-mode voltage (CMV) and low dv/dt. On the other hand, the parallel CSC is a popular choice for increasing the system's rated current to accommodate higher power applications. The use of interleaved modulation techniques can improve the harmonic performance of parallel converters while reducing the need for passive filters. The modular flying capacitor clamped (FCC)-CSC structure can combine these advantages, achieving higher rated power along with improved power quality on both the DC and AC sides. Moreover, the enhanced AC quality contributes to the regulation of FC voltage and further improves the DC-side voltage quality. This paper analyzes the operation principle of the parallel FCC-CSC structure and proposes an interleaved space vector modulation (SVM) method to enhance the harmonic performance of the AC output. Additionally, an optimized zero-state replacement (ZSR) based FC voltage control and a DC-link current balance strategy built on this control are introduced. Simulation and experimental results validate the effectiveness of the proposed methods. [ABSTRACT FROM AUTHOR]

In order to study the influence of modular filled and composite material forms on the axial crushing and energy absorption properties of structures, modular filled composite structures were constructed, and innovatively applied to the inner side of double-hat beam (DHB) structures in automobiles. The modular filled structures comprise hexagonal, quadrilateral, and triangular sections. By analyzing the collision performance of modular filled DHB structures, significant enhancements were observed in both the sectional characteristics and the specific Mean Crushing Force of modular filled DHBs compared to the conventional double-hat beam structure. These advancements notably improved the plastic deformation characteristics of the structures. Additionally, dynamic weightlessness experiments were conducted to validate the accuracy of the simulation model. Among the proposed schemes, namely QU-5, HE-5, and TR-5, notable improvements in crashworthiness were identified. Specifically, crashworthiness indicators increased by 32.54%, 78.9%, and 116.53%. Compared with other thin-walled structures, modular filled composite DHBs have advantages in axial crushing and energy absorption. By optimizing layout characteristics, the modular filled structures will achieve significant lightweight and energy absorption performance improvements. This work has clear reference value for automotive engineers and scholars to further explore the axial crash safety, platform modularization, and lightweight design of vehicles. [ABSTRACT FROM AUTHOR]

Precast construction offers multiple benefits, encompassing heightened productivity, an enhanced working environment, and significant waste reduction. Timely delivery of precast components (PCs) is of paramount importance in the successful execution of construction projects, mainly because processes involving precast prefabrication are identified frequently as critical activities in the majority of cases. However, current scheduling models for precast production need to meet the demands of dynamic environments in which construction projects contend with uncertainties. Consequently, it is essential to investigate and develop more-resilient and flexible scheduling approaches to address these challenges effectively and guarantee the timely delivery of precast components in these dynamic construction scenarios. To address these challenges, this study introduces an approach that integrates precast tracking, positioning, progress monitoring, and analysis among the multiple stages undertaken by project communities. Each component's status is updated dynamically in the cloud-based Building Information Modeling (BIM) platform using radio-frequency identification (RFID) and ultrawideband (UWB) technologies. Moreover, the collected data are updated to a dynamic production planning engine to be analyzed more accurately and flexibly for prefabrication, fitting-out, installation resources, workerpower planning, scheduling, and execution. To verify the efficiency of the proposed system, on-site testing was performed on a prefabricated prefinished volumetric construction (PPVC) residential building project. The findings show that a precast component can be tracked precisely on-site and that the sensor network can deliver trustworthy data. This research adopted an innovative and comprehensive methodology, centering on the transmission of real-time data collected via RFID and UWB sensing to enable dynamic scheduling in precast construction. By facilitating dynamic planning, scheduling, optimization, and progress monitoring, the study introduces a paradigm shift in construction project management, markedly improving the efficiency and effectiveness of project execution. Practical Applications: Precast construction, known for its efficiency and sustainability, faces a key challenge in ensuring the timely delivery of precast components. This is crucial because PCs assembly often represents critical activities in construction projects. Current scheduling engines struggle to adapt to the unpredictable nature of construction environments, which frequently deal with uncertainties. This study presents an innovative approach that integrates tracking, positioning, and progress monitoring of PCs using advanced technologies. By employing radio-frequency identification and ultrawideband sensors, PCs' status is updated in real-time on a cloud-based Building Information Modeling platform. These data are uploaded into a dynamic production scheduling engine, enhancing the accuracy and flexibility of scheduling and execution, especially for prefabrication and installation stages. This approach was tested in a real-world prefabricated prefinished volumetric construction residential building project. The results demonstrate the system's ability to locate PCs on-site precisely and provide reliable data. This holistic strategy not only allows for dynamic scheduling, optimizing workerpower and resource allocation, but also enhances overall project management. This leads to more-effective planning, optimization, and monitoring of progress, significantly improving project execution in precast construction environments. [ABSTRACT FROM AUTHOR]

Tower crane layout planning (TCLP) is key to ensure the safety and productivity of construction projects. Previous studies on TCLP mainly focused on the typical in situ construction method, however, overlooking modular integrated construction (MiC). This study aims to develop an integrated planning approach for optimizing the locations of tower cranes and trucks for MiC across the entire construction site. This approach consists of four objective components. First, identifying potential locations for cranes and trucks by adopting a gridding method and an intersection examination algorithm. Second, estimating the crane operation duration. Third, optimizing the crane and truck locations by developing an integer linear programming (ILP) model while considering various constraints, such as the demand fulfillment, the crane's lifting capacity, and the multiple truck parking areas. Lastly, optimizing the distance between cranes to avoid crane blocking on site. The proposed approach is validated via three high-rise residential MiC projects. The results achieve 19.4%–37.9% reductions in cranes' operation durations, as well as carbon emissions from the original plan. Compared with another existing TCLP method made from limited predefined layout plans, a 29.4% improvement is observed. Moreover, three aspects to extend the application of the approach are discussed: (1) the multiple tower crane layout scenario, (2) the impact of the number of truck points, and (3) the trade-offs between computing effectiveness and performance. The approach realizes the objective of TCLP decision-making for multi-crane multitruck MiC throughout the whole construction site. Construction practitioners can use this approach for decision-making which helps enhance the effectiveness of their tower crane layout designs. [ABSTRACT FROM AUTHOR]

Designing a fully modular building, which is without the support of any separate lateral resisting elements, has the advantage of rapid site assembly, but runs the risk of a brittle style of connection failures in a rare earthquake event. Thus, this form of construction is currently limited to low-rise buildings. Isolating the building from its base and allowing the rocking motion to occur has been proven to be effective in dissipating energy and prolonging the natural periods by the lifting of the structure, thereby alleviating high strength demand on the building itself. To avert overturning, the amount of the rotation of the building needs to be controlled, and the use of superelastic tendons as a restraint is a promising solution. Previous studies into the seismic performance with this novel form of construction have been limited to experimenting with a rigid block or a single lumped mass system. In this study, this approach of seismic isolation is extended to a high-rise modular building with distributed mass and stiffness. A scaled-down model of a 19-story fully modular building, which was partially restrained by superelastic tendons, was tested on a shaking table. The key objective was to study the deflection profile and distribution of internal forces up the height of the superelastic tendon–restrained building and examine the contributions by the higher modes. The internal forces predicted by the analytical model developed in the study are shown to be in good agreement with experimental measurements. Practical Applications: Modular construction shortens construction time and reduces environmental impacts. Currently, fully modular buildings, which have a high degree of prefabrication, are limited to low-rise constructions because of concerns over the overturning risk in major earthquake events. A new seismic safe design employing a superelastic tendon is introduced in this article to extend fully modular construction to high-rise buildings. The building is designed to rotate about its base when subjected to high intensity ground shaking. The amount of rotation is controlled by the superelastic tendon in order to avoid overturning from occurring. Meanwhile, internal forces taken up by the structural elements within the building were kept much lower than a conventional fixed base building. The dynamic testing of the miniature model of a 19-story building on the shaking table was featured in the study, which laid down principles that are essential for the formulation of effective guidelines for the structural design of this type of building. [ABSTRACT FROM AUTHOR]

Artificial reefs featuring different shapes and functions have been deployed around the world, causing impacts on marine ecosystems. However, the approaches typically used to deliver topological complexity, flexibility and expanding requirements to prospective structures during the initial design stages are not well established. The aim of this study was to highlight the advantages and provide evidence on how modularity and parametric design can holistically leverage the performance of multifunctional artificial reefs (MFARs). In particular, the goal was to develop a parametric design for MFAR and establish a direct relationship between specific design parameters and the MFAR target functions or design requirements. The idea of implementing the parametric design for generating the initial biomimetic geometry of the individual modular unit was explored. Furthermore, possible ways of manipulating the geometric parameters of the individual module and the whole assembly were proposed. The findings suggest that, by adopting the developed procedure and the examples studied, several functions may be reached within a single assembly: the promotion of marine biodiversity restoration, the support of scientific platforms with various sensors, as well as the development of recreational diving and of touristic attraction areas. Acquired knowledge suggests that the concept of a nature-like design approach was developed for artificial reefs with varying scales, complexity and functions, which widens the range of possibilities of how smart design of human-made underwater structures may contribute to benefiting the near shore ecosystems. [ABSTRACT FROM AUTHOR]

In high-power applications, achieving adequate power quality in power converter design is accomplished by utilizing multilevel inverters instead of using two-level and three-level inverters. The device generates a sinusoidal output voltage, which results in reduced total harmonic distortion and lower voltage stress on the switches and leads to lower electromagnetic interference, making it suitable for use in renewable energy applications. However, to illustrate the advantages mentioned above, a significant number of switching devices and DC sources are necessary while raising the voltage levels. This article proposes an asymmetrical voltage generation method, which operates in a ratio of 1:5 and generates 25 levels using 11 power switches. The topology is modular in structure, and each module has a lower component count, which significantly reduces the overall cost. The proposed topology is capable of generating negative output voltage levels without the use of an H-bridge configuration, where only three switches are used to generate any voltage levels. The functionality of the developed module is amended by fixing different voltage values in DC sources. This article also presents a comprehensive examination of the circuit and the functioning of various voltage levels. The advantages of the proposed inverter have been demonstrated by comparative research with the currently existing MLI topologies. Ultimately, both the simulation and experimental findings validated the practical capabilities. [ABSTRACT FROM AUTHOR]

Relearning to walk requires progressive training in real scenarios—overground—along with assistance in basic tasks, such as balancing. In addition, user ability must be maximized through compliant robotic assistance as needed. Despite decades of research, gait rehabilitation robotic devices yield controversial results. This article presents the conceptual design of a novel walking assistance and rehabilitation robot, the NIMBLE robot, aimed at providing ambulatory, bodyweight-supported gait training, assisting the user's center of mass trajectory to aid weight transfer and dynamic balance during walking. NIMBLE consists of a robotic mobile frame, a partial bodyweight support (PBWS) system, an ambulatory lower-limb exoskeleton (Exo-H3) and a cable-driven pelvis-assisting robot. Designed as a modular structure, it differentiates hierarchical communication levels through a Robot Operating System (ROS) 2 network. We present the mechatronic design and experimental results assessing the impact of the mechatronic coupling between the robotic modules on the walking kinematics and the frame movement control performance. The robotic frame hardly affects the walking kinematics up to 2 degrees in both the sagittal and frontal planes, making it feasible for lateral balance and weight translation training. Moreover, it successfully tracks and follows user trajectories. The NIMBLE robotic frame assessment shows promising results for ambulatory gait rehabilitation. [ABSTRACT FROM AUTHOR]

Though refugee camps are by definition "temporary", many camps endure for decades, where individuals live full lives through childhood, marriage, children, grandchildren, and death. These settlements function no differently than cities in their social life, density, zoning, and operation, yet are "planned" through UNHCR (United Nations High Commissioner for Refugees) templates for camps. The Zaatari camp in Jordan for Syrian asylum seekers, for example, holds a population of 80,000. Rather than viewing refugee camps as temporary human warehouses, this article demonstrates that camps are spaces where individuals build social networks and economic activities flourish. As such, the camp planning templates should include adaptive Construction 4.0 technologies for more socially flexible settlements, even if the camps are considered "temporary". This case study research on the Zaatari camp illustrates how refugees adapt their built environment, identifying adaptation patterns that enhance both livability and sustainability. The work illustrates social and environmental changes that require adaptive housing configurations. The conclusion suggests linking modern tools in the construction industry to empirically derived planning objectives to be efficiently executed in moments of crisis. [ABSTRACT FROM AUTHOR]

An offshore multipurpose floating platform (MPFP) combines different marine technologies to serve industry needs using one infrastructure; the aim of an MPFP is enlarging the synthesis benefits and reducing the negative impacts. Ocean thermal energy conversion (OTEC) in particular has attracted significant attention for its great potential and low environmental risk. This research demonstrates the system design of a conceptual MPFP in the South China Sea, evaluating its economic and environmental sustainability using an inclusive index. The system is based on a modular floating structure with a designed lifetime of 50 years. Tuna aquaculture, microalgae cultivation and processing, and the OTEC energy infrastructure are integrated to increase the profitability of the applications. We adopted a high-yield photobioreactor microalgae cultivation system and a low-cost barge-type floating structure combined with a semisubmergible to reduce the required area and cost of the floating structure and improve the sustainability of the system. The inclusive impact index "Triple-I-light (IIIlight)" was calculated to evaluate the environmental sustainability and economic feasibility of the floating system. The result shows that the new system becomes environmentally neutral (EF = BC) at a lifetime of 11.5 years, showing sustainability (IIIlight ≤ 0) at a lifetime of 20 years. The proposed system can produce fish with no external energy or feed supply. An autonomous system, such as the one proposed here, is considered very effective when it comes to utilizing the ocean and contributing to a sustainable society. [ABSTRACT FROM AUTHOR]

The study aims to identify and categorise the deterrents to adopting modular construction (MC) in affordable housing (AH), revealing their interconnections, and proposing strategies to overcome them. A systematic literature review (SLR) was conducted, followed by Pareto analysis and total interpretive structural modelling (TISM). A total of 75 deterrents were identified from 46 studies, spanning 7 categories: environmental, social and cultural, technical and construction, industry and market, administrative and bureaucratic, economic, and regulatory and policy. The top deterrent category was found to be economic, specifically high initial investment costs and financing challenges. Significant deterrents, particularly economic ones, that impede the adoption of MC in AH are revealed. The interconnectedness of these deterrents highlights the need for comprehensive strategies addressing multiple categories simultaneously. Mitigation strategies and countermeasures are proposed to facilitate the adoption of MC. The study is based on the existing literature, which may have limitations in terms of capturing all possible deterrents. Further empirical research is needed to validate and expand upon these findings. A critical gap is filled by this study, which systematically categorises and analyses deterrents to MC in AH and proposes actionable strategies to mitigate them, thereby contributing to more effective and widespread adoption of MC. The findings are valuable to both global audiences and Australian stakeholders and provide insights that allow the barriers to MC in AH to be overcome. [ABSTRACT FROM AUTHOR]

Abstract This manuscript critically evaluates the potential of modular construction as a viable remedy to the ongoing housing crisis in the UK. In light of the escalating construction costs and the long-standing lack of productivity gains in the residential construction sector, there is in fact an urgent need to explore innovative solutions to address the scarcity of affordable housing. The study delves then into the feasibility and effectiveness of modular construction in providing cost-efficient and sustainable housing alternatives, particularly for the working-class population. Through a comprehensive analysis of construction trends and methodologies, and stakeholder perspectives, this research aims to illuminate the advantages and limitations of modular construction compared to traditional building techniques. Drawing upon data sourced from construction professionals, and government records, the study assesses crucial factors such as construction timelines, financial implications, design adaptability, and overall efficacy in tackling the housing crisis. The findings of this study are poised to offer valuable insights into the potential role of modular construction in transforming housing solutions in the UK. By examining the intersection of housing demand, construction practices, and technological advancements, the manuscript seeks to inform decision-making processes in both public and private sectors. Ultimately, the objective is to identify strategies that can facilitate the widespread adoption of modular construction as a sustainable and scalable solution to the housing crisis, in line also with the principles of the circular economy, thereby enhancing access to safe, affordable, and high-quality housing for all segments of society.

Abstract Addressing the rise in global temperatures and the associated increase in greenhouse gases, particularly carbon dioxide, is a critical challenge necessitating innovative approaches within the building sector, a significant contributor to worldwide carbon emissions. While previous studies have demonstrated the prefabrication’s potential in reducing emissions, comprehensive assessments using actual project data for buildings constructed entirely with modular methods in Hong Kong are lacking. This study bridges this gap by evaluating the modular integrated construction (MiC) method through an embodied carbon assessment of the Kai Tak Community Isolation Facility. Using comprehensive project data from China State Construction (HK) Limited, the research conducts a comparative analysis between the actual emissions of the MiC method and those of a hypothetical conventional construction approach. Quantitative analysis reveals that MiC achieves a 20.7% reduction in embodied carbon, primarily due to shortened construction timelines, decreased waste generation, and optimized material usage. This significant reduction suggests substantial potential for decreasing the construction industry’s carbon footprint. The study provides empirical evidence supporting the environmental benefits of MiC in Hong Kong construction industry, promoting its broader adoption of MiC as a strategy for achieving carbon reduction targets. The findings align with Hong Kong’s carbon neutrality goals and contribute to the global initiative to mitigate the effects of climate change.

Prefabricated construction has gained traction in sustainable construction practices. As a modular construction method, the prefabricated component (PC) supply chain involves key participants—producer, transporter, and assembler—operating in a point-to-point cooperation pattern (i.e., single project–single producer–single transporter). However, a disparity in resource allocation between the supply and demand sides leads to inefficiencies within the PC supply chain. Thus, this paper introduces the platform service pattern concept combined with evolutionary game theory, constructing a tripartite evolutionary game model to analyze the dynamic evolution mechanism of their behavioral strategies. Extending from a point-to-point cooperation pattern, this paper analyzes a multi-to-multi network structure (i.e., multiple projects–multiple producers–multiple transporters) and utilizes evolutionary game theory to simulate a stakeholder's strategies. Beyond maximizing the economic profits, we also include sustainable objectives into consideration, and we explore how project and environmental subsidies impact multiparty collaborations and their strategy selections. Specifically, three prefabricated components supply chain cooperation patterns (PCSCCPs) with multiparty dynamics are derived: standardized PC supply chain cooperation pattern (ST-PCSCCP), green and standardized PC supply chain cooperation pattern (GS-PCSCCP), and mixed PC supply chain cooperation pattern (MX-PCSCCP). They are developed and compared by using empirical data for model parameter selections. The results show that all patterns achieved simultaneous production and transportation for multiple project orders and all ensure that construction projects meet sustainability requirements. Additionally, MX-PCSCCP requires the minimum subsidies. [ABSTRACT FROM AUTHOR]

In the ever-changing realm of the contemporary workplace, adaptability and flexibility have emerged as crucial attributes for office buildings. The method of axes system design, in conjunction with modular structures, fosters a workspace that can seamlessly adapt to the evolving needs of offices. This system embodies a comprehensive approach to office design, emphasizing the integration of four important principles: modularity, adaptability, interconnectedness, and flexibility. The modular nature of the structural axes design allows for swift and cost-effective adjustments, facilitating customer needs. The dynamism of this system ensures that office spaces are in a perpetual state of evolution, reflecting the changing dynamics of the contemporary workplace as to be shown in this paper. [ABSTRACT FROM AUTHOR]

Automatic disease progression prediction models require large amounts of training data, which are seldom available, especially when it comes to rare diseases. A possible solution is to integrate data from different medical centres. Nevertheless, various centres often follow diverse data collection procedures and assign different semantics to collected data. Ontologies, used as schemas for interoperable knowledge bases, represent a state-of-the-art solution to homologate the semantics and foster data integration from various sources. This work presents the BrainTeaser Ontology (BTO), an ontology that models the clinical data associated with two brain-related rare diseases (ALS and MS) in a comprehensive and modular manner. BTO assists in organizing and standardizing the data collected during patient follow-up. It was created by harmonizing schemas currently used by multiple medical centers into a common ontology, following a bottom-up approach. As a result, BTO effectively addresses the practical data collection needs of various real-world situations and promotes data portability and interoperability. BTO captures various clinical occurrences, such as disease onset, symptoms, diagnostic and therapeutic procedures, and relapses, using an event-based approach. Developed in collaboration with medical partners and domain experts, BTO offers a holistic view of ALS and MS for supporting the representation of retrospective and prospective data. Furthermore, BTO adheres to Open Science and FAIR (Findable, Accessible, Interoperable, and Reusable) principles, making it a reliable framework for developing predictive tools to aid in medical decision-making and patient care. Although BTO is designed for ALS and MS, its modular structure makes it easily extendable to other brain-related diseases, showcasing its potential for broader applicability. Database URL https://zenodo.org/records/7886998. [ABSTRACT FROM AUTHOR]

With the great development of the construction industry, prefabricated building components have been greatly developed. To study the compressive performance of the new wallboard, the axial compression performance test of six full-scale new lattice wallboards was carried out in this paper. The failure mode, axial pressure-displacement relationship curve, axial compression bearing capacity, and axial pressure-strain relationship of the wallboard were obtained through the experiments. This reveals the influence of the thickness of the concrete surface and the number of ribs on the performance of the wallboard. The test results show that the ultimate bearing capacity of the specimen increases with the increase of the thickness of the concrete surface layer with the same number of ribs. Specimen DW -30 increased by 4% over DW -20 and DW -50 increased by 41.6% over DW -30. The ultimate bearing capacity of the three-ribbed specimens was higher than that of the two-ribbed specimens for the same concrete face thickness, about 1.11 times that of the two-ribbed specimens. The concrete facing thickness and the number of ribs have a restraining effect on the deformation of the wallboard. Additionally, the calculation formula of axial bearing capacity of type latticed wallboard considering the influence of eccentric compression was proposed, which can provide a reference for engineering calculation. [ABSTRACT FROM AUTHOR]

Fit‐out operations in modular construction exhibit unique features, such as limited room space and diversely distributed operations in the building. These features pose significant challenges to planning, scheduling, and execution (PSE) of fit‐out activities due to operational parallelism, distributional diversity, and narrower constrained time window in modular construction. Hence, logistics‐operation and multi‐operations synchronizations in a real‐time manner are crucial for PSE of modular construction fit‐out management. With the support of cutting‐edge information technologies, the real‐time data inside the generated digital twins can simplify online optimization models and convert stochastic factors into deterministic parameters. This paper formulates a novel real‐time data‐driven Out‐of‐Order (OoO) model for synchronized PSE in modular construction fit‐out management. Drawing inspiration from OoO mechanism in Central Processing Unit (CPU), a real‐time data‐driven and rolling‐horizon‐based OoO model is proposed for PSE of modular construction fit‐out, employing a forward heuristic algorithm for solution. Time–space–state data from digital twins are updated to facilitate dynamic decision‐making of managers. Through stochastic computational experiments, we demonstrate the effectiveness of OoO model in optimizing project metrics and the improved resilience in uncertain environments. [ABSTRACT FROM AUTHOR]

The development of new chiral ligands with simple and modular structure represents a challenging direction in the design of efficient homogeneous transition metal catalysts. Herein, we report on the asymmetric hydrogenation of prochiral ketones catalyzed by the iridium complexes of simple alkane-diyl-based P,N,O-type chiral ligands with a highly modular structure. The role of (i) the P-N and N-O backbone in the potentially tridentate ligands, (ii) the number, position and relative configuration of their stereogenic elements and (iii) the effect of their NH and OH subunits on the activity and enantioselectivity of the catalytic reactions are studied. The systematic variation in the ligand structure and the comparative catalytic experiments shed light on different mechanistic aspects of the iridium-catalyzed reaction. The catalysts containing the simple alkane-diyl-based ligands with central chirality provided high enantioselectivities (up to 98% ee) under optimized reaction conditions and proved to be active and selective even at very high substrate concentrations (100 mmol substrate/mL solvent). [ABSTRACT FROM AUTHOR]

• The software supports space geodetic data processing, precise positioning and orbit determination, and multi-source fusion navigation. • The core computational engines are written using C++ language and apply efficiency optimization algorithms such as parallel computing, with modular structure, cross-platform capabilities and efficient performance. • The software provides both client and server functions for high-precision navigation services, and centimeter-level multi-source fusion navigation can be achieved in urban scenarios though the integrated system of PPP-RTK/MEMS/VIS/LiDAR. The software platform named GNSS + REsearch, Application and Teaching (GREAT) has been designed and developed by Wuhan University for satellite geodesy and multi-source fusion navigation. GREAT is a comprehensive software platform based on C++ language, with modular structure, cross-platform capabilities and efficient performance. The software mainly focuses on space geodetic data processing, precise positioning and orbit determination, and multi-source fusion navigation. With the integration of multiple space geodetic techniques at observation level, GREAT can achieve the determination of global geodetic parameters. Meanwhile, GREAT can also achieve real-time precise orbit and clock determination by processing GNSS data from globally distributed stations, and the accuracies are about 3–6 cm for orbit and 0.1–0.4 ns for clock. Based on high-precision orbit and clock products, centimeter-level onboard positioning accuracies can be achieved with PPP-RTK in open-sky scenarios. Furthermore, centimeter-level multi-source fusion navigation can be achieved in urban scenarios though the integrated system of PPP-RTK/MEMS/VIS/LiDAR. Additionally, efficiency optimization algorithms such as parallel computing are applied to enable the software to handle the data-intensive and calculation-intensive situations. [ABSTRACT FROM AUTHOR]

A topological interlocking assembly (TIA) is an assembly of blocks together with a non-empty subset of blocks called the frame such that every non-empty set of blocks is kinematically constrained and can therefore not be removed from the assembly without causing intersections between blocks of the assembly. TIA provides a wide range of real-world applications, from modular construction in architectural design to potential solutions for sound insulation. Various methods to construct TIA have been proposed in the literature. In this paper, the approach of constructing TIA by applying the Escher trick to tilings of orientable surfaces is discussed. First, the strengths of this approach are highlighted for planar tilings, and the Escher trick is then exploited to construct a planar TIA that is based on the truncated square tiling, which is a semi-regular tiling of the Euclidean plane. Next, the Escher-Like approach is modified to construct TIAs that are based on arbitrary orientable surfaces. Finally, the capabilities of this modified construction method are demonstrated by constructing TIAs that are based on the unit sphere, the truncated icosahedron, and the deltoidal hexecontahedron. [ABSTRACT FROM AUTHOR]

The urban landscape is undergoing significant transformations due to economic shifts, urban planning initiatives, technological advancements, and sociopolitical changes. Almost 89% of the U.S. population is projected to reside in urban areas by 2050, which increases a pressing need for innovative and efficient urban revitalization strategies. Modular construction is an extensively researched topic with potential promise for addressing these challenges; however, there is a lack of comprehensive understanding of its specific opportunities and challenges within the context of urban revitalization. This paper explores the potential of modular construction methods as a viable solution in densely populated areas with limited space and competing land uses. This study employs a systematic literature review using PRISMA and mixed methods analysis with NVivo to identify the opportunities and challenges associated with implementing modular construction in urban settings. The findings highlight the advantages of modular construction, including reduced construction time, enhanced quality control, and improved sustainability. However, challenges such as land scarcity, restrictive zoning laws, and the need for innovative planning and collaboration among stakeholders are also emphasized. This paper provides valuable insights for policymakers, urban planners, and developers to effectively leverage modular construction methods for sustainable and efficient urban renewal efforts. [ABSTRACT FROM AUTHOR]

Modular integrated construction (MiC) is now widely adopted by industry and governments. However, its fragile and delicate logistics are still a concern for impeding project performance. MiC logistic operations involve rigorous multimode transportation, loading-unloading, and stacking during storage. Such processes may induce latent and intrinsic damage to the module. This damage causes safety hazards during assembly and deteriorates the module's structural health during the building use phase. Also, additional inspection and repairs before assembly cause uncertainties and can delay the whole supply chain. Therefore, continuous monitoring of the module's structural response during MiC logistics and the building use phase is vital. An IoT-based multi-sensing system is developed, integrating an accelerometer, gyroscope, and strain sensors to measure the module's structural response. The compact, portable, wireless sensing devices are designed to be easily installed on modules during the logistics and building use phases. The system is tested and calibrated to ensure its accuracy and efficiency. Then, a detailed field experiment is demonstrated to assess the damage, safety, and structural health during MiC logistic operations. The demonstrated damage assessment methods highlight the application for decision-makers to identify the module's structural condition before it arrives on site and proactively avoid any supply chain disruption. The developed sensing system is directly helpful for the industry in monitoring MiC logistics and module structural health during the use phase. The system enables the researchers to investigate and improve logistic strategies and module design by accessing detailed insights into the dynamics of MiC logistic operations. [ABSTRACT FROM AUTHOR]

This paper considers the design, manufacture, and testing of a prototype "soft–stiff" worm-inspired robot referred to herein, as the PneumaticallyActuated PeristaLtic Advancing Modular (PALAM) robot. The robot has a modular structure, mimicking the segmented nature of earthworms, and each segment is individually actuated by a set of three pneumatic artificial muscles (PAMs). The PAMs contract when inflated by pressurised air, generating a pulling force and fulfilling the role of biological muscles in the robot. The PAMs are made from the elastomer silicone rubber, which affords the robot flexibility and enables a wide range of real-life applications. A control-system is designed which can inflate any PAM on demand, and hence replicate the peristaltic motion of earthworms in the PALAM robot. Finally, this paper discusses a successful, low-cost, and widely accessible approach for the manufacture of the PAMs utilised herein. The PAMs can be scaled dimensionally and made from different materials with varying mechanical properties and behaviours, meaning that they are suitable for use in a wide range of robotics applications. [ABSTRACT FROM AUTHOR]

Modular integrated construction (MiC) has witnessed increasing adoption in worldwide building projects, driven by various benefits, including improved construction efficiency, reduced on-site labor hours, and minimized waste and pollution. The construction industry has recognized the transportation of prefabricated modules as a huge obstacle to the wide implementation of MiC. In practice, transport planning of prefabricated modules is usually intuitively decided by general contractors based on experience. Intuitive decisions cannot ensure the just-in-time (JIT) module delivery, thereby incurring additional costs of early and late delivery. Motivated by this challenge, this study endeavors to design cost-minimized transportation plans for prefabricated modules using mathematical programming methodology. An integer programming model and a tailored solution method are proposed. Then, we use data from two real building projects in Hong Kong as model inputs to demonstrate the computation of optimal module transport plans using the proposed methodology. Numerical results show that, if the JIT strategy is not considered in module transport planning, the actual total transportation costs will be 21.74% higher than the expected ones. Comparative costs of JIT implementation and nonimplementation indicate the significance of the JIT strategy. Additionally, our proposed method can achieve punctual module delivery and reduce the overall transportation expenses by 10.13%, implying considerable cost savings. [ABSTRACT FROM AUTHOR]

The study presents an integration of cob with robotic processes. By challenging conventional monolithic earth-building methods, the study proposes the use of spatial nonplanar formations that are robotically fabricated, presenting an alternative geometric language for earth construction. The research methodology is derived from existing factors within the robotic lab, encompassing both constant and variable parameters. Through an experimental approach, the variables are systematically manipulated while observing the outcomes to identify patterns and relationships. Incremental refinements to the research conditions result in an optimal equilibrium state within the defined lab parameters. An empirical investigation approach serves as the foundation for controlling the printing process; wherein an iterative adjustment of the robot extrusion parameters is based on the behaviour of the deposited material. The outcome is several robotically printed cob nonplanar prototypes. Depending on their geometric formations and complexity, the printing process combined three variations: continuous, intervals, and modular. The latter enabled the production of a cob arch, serving as proof of feasibility for the creation of modular cob structures through a segmented assembly process. The study contributes to expanding the possibilities of cob construction by leveraging robotic technologies and paving the way for innovative applications of cob in contemporary architecture practices. [ABSTRACT FROM AUTHOR]

The construction industry is constantly evolving through government policies, technologies, and innovative processes. BIM and modular construction are innovative concepts aimed at achieving sustainable smart cities by enhancing cost performance, efficiency, and sustainability. Despite growing global interest in their integration, there is a notable knowledge gap in sub-Saharan Africa. As a result, this research aims to explore the barriers to integrating BIM into modular construction in sub-Saharan Africa. The study adopted a non-experimental design, using a four-stage methodological framework. Initially, a literature review was carried out to conceptualize the study. Stage two involves a pilot survey to create an adequate data collection instrument. In the third stage, 81 registered companies were purposely selected, and data was collected through an online survey. Finally, the fourth stage uses descriptive and inferential techniques to make logical and informed conclusions. The top-ranked barriers are high initial costs, insufficient cross-field expertise, stakeholder collaboration problems, limited software interoperability, and skills shortages. Recommendations include early stakeholder collaboration, BIM execution plan development by modular companies, improved staff training, and increasing financial support from the government. Future research should explore country-specific barriers and case studies to aid the integration of the two innovative solutions in the region. [ABSTRACT FROM AUTHOR]

During emergencies, healthcare is generally provided by tents and temporary shelters, without considering the environmental and social impact of the structures as a priority, in favor of swift response. The resultant constructions intended as a temporary solution often persist for a long time. This paper aims to analyze an alternative and innovative modular structure designed as a transitory solution in emergencies and everyday life. The aim of this study is to assess and compare the energetic performance of a modular adaptive model for basic healthcare for people who are not subscribed to the Italian National Health System. The main goal is to challenge standard models by proposing a new model able to diminish the weaknesses of the current sanitary models, to improve the social conditions, flexibility and energy efficiency, and the thermal comfort of the occupants. In the first part of the paper, the conceptual framework and the preliminary design of the model are described by investigating the benefits of a safe space as a generator space for care services and the community. In the second part, the technological requirements of the system are defined by comparing the use of different panel structures and low-impact technologies. The energy efficiency and environmental impact of the model are assessed by comparing several panel structures in two different climatic areas in Italy (northern and Mediterranean areas) using SketchUp and EnergyPlus simulation. As a result, different configurations of the model are proposed according to the different climatic areas in order to optimize the model, from both an architectural and a technological point of view (box and panel composition). [ABSTRACT FROM AUTHOR]

The pulsatile activity of gonadotropin-releasing hormone neurons (GnRH neurons) is a key factor in the regulation of reproductive hormones. This pulsatility is orchestrated by a network of neurons that release the neurotransmitters kisspeptin, neurokinin B, and dynorphin (KNDy neurons), and produce episodic bursts of activity driving the GnRH neurons. We show in this computational study that the features of coordinated KNDy neuron activity can be explained by a neural network in which connectivity among neurons is modular. That is, a network structure consisting of clusters of highly-connected neurons with sparse coupling among the clusters. This modular structure, with distinct parameters for intracluster and intercluster coupling, also yields predictions for the differential effects on synchronization of changes in the coupling strength within clusters versus between clusters. Author summary: Since the discovery of a small population of hypothalamic neurons that secrete kisspeptin, neurokinin B, and dynorphin (KNDy neurons), there has been interest in their role as a pacemaker for the pulsatile release of key reproductive hormones. A fundamental question is what mechanism coordinates KNDy neuron activity to generate population bursts. Optical imaging of the KNDy network at single-neuron resolution has revealed that individual KNDy neurons participate in many, but not all, population bursts. It has also shown that the order in which the neurons are recruited in each burst could be highly determined in some animals but not in others. We demonstrate here that these observations can be explained by a neural network with a modular structure, and that one benefit of the structure is the ability to differentially modulate the level of synchronization by changes in key coupling parameters. [ABSTRACT FROM AUTHOR]

Here, a high gain DC–DC converter which is based on switched capacitor (SC) and switched LCL (SLCL) cells is presented. The diode employed in the classical passive switched inductor (SI) cell is replaced by a capacitor in the proposed SLCL cell to achieve higher voltage gain. Two switches—one each in the positive and negative DC rails of the supply are employed to charge and discharge the inductors of SLCL cells. A generic structure comprising of N and M number of SLCL cells in the positive and negative DC rails respectively along with K number of SC cells is presented. To validate the proposed gain extension concept, a two‐switch based converter comprising of 2 SLCL and 1 SC cells is synthesized and its operation is described in detail. The voltage gain expression of the proposed SLCL‐SC converter is derived. Experimental results are obtained from a 25 to 380 V prototype converter which operates at a full‐load efficiency of 94.22% at 200 W. Since the switches employed in the proposed converter are operated at a moderate and safe duty ratio of D = 0.51, the voltage stress on the switches is about 25% of the output voltage while the diodes are subjected to even lesser voltage stress levels of only one‐fifth of the output voltage. The main salient features of the proposed topology are its (i) modular structure, (ii) ability to provide higher voltage gain values at lower duty ratios (iii) reduced voltage stress on the semiconductor devices and (iv) reduced conduction losses due to the replacement of diodes with capacitors in SLCL cells. [ABSTRACT FROM AUTHOR]

Data Assimilation (DA) of time-variable satellite gravity observations, e.g., from the Gravity Recovery and Climate Experiment (GRACE), GRACE-Follow On (GRACE-FO) and future gravity missions, can be applied to constrain the vertical sum of water storage simulations of Global Hydrological Models (GHMs). However, the state-of-the-art DA of these measured Terrestrial Water Storage (TWS) changes into models is often performed regionally, and if globally, at low spatial resolution. This choice is made to handle the considerably high computational demands of DA, and to avoid numerical problems, e.g., instabilities related to the inversion of covariance matrices. To fully exploit the potential of satellite gravity observations and the high spatial resolution of GHMs, we developed a Python-based open-source PyGLDA system that allows performing DA globally at a fine scale with high numerical efficiency. The main novelties of the system include (i) implementing a globe-scale patch-wise DA via domain localization and neighbouring-weighted global aggregation and (2) its great compatibility between basin-scale and grid-scale DAs. This PyGLDA system represents a considerable functional advancement on previous implementations with wide and flexible options offered to allow for various user-specific studies. The modular structure of PyGLDA provides users with various possibilities to interact with (and add/remove) individual water storage compartments, change the representation of observations, and, therefore, the ability to choose different GHMs. In this paper, we present a full description of this system and its application for the Danube River Basin as a regional case study and through a global DA. The DA demonstrations are performed using the monthly TWS fields of GRACE (2002–2010) and the W3RA water balance model at 0.1-degree/daily spatial-temporal resolution. [ABSTRACT FROM AUTHOR]

This study investigated the effects of threaded bolt fasteners on the initial and final stiffness of bolted joints in special steel modular construction. A comprehensive set of 246 specimens, including 4, 7.6, and 12 mm thick plates with 20 and 30 mm diameter bolts and different end spacings, were tested. The results revealed that connections with threaded bolts exhibited lower initial stiffness compared to pure shaft connections. This study introduced a novel formula that significantly improved simulation results for bolted joints, surpassing previous modeling approaches. Following the American Society for Testing and Materials (ASTM) definition, the "elastic" stiffness values obtained from the laboratory tests were compared with those of Eurocode provisions. Additionally, ad hoc formulas were proposed for the stiffness of shank, lap connection with partially threaded, and fully threaded bolts. These results offer valuable insights for enhancing the stiffness of bolted shear connections. [ABSTRACT FROM AUTHOR]

Modular housing represents an opportunity for the mass provision of housing of an appropriate standard, implemented sustainably. We analyzed the theoretical basis of this type of housing for refugee populations. We identified several generations of housing provision, from tented camps to container settlements, and ultimately to units resembling traditional housing estates. The latter is feasible due to technological advancements. Our research contributes to the implementation of the principles of the New European Bauhaus initiative, which underpins the European Green Deal policy on space design. Using the Research through Design (RtD) method within the framework of a settlement project for the Ukrainian population migrating from war zones (Modular Refugees Settlement Project "ProModSe"), we tested the suitability of these principles in extreme and critical war-related situations. The most important criteria were speed of implementation, the prospect of long-term residence, and ensuring safety. We analyzed the social, environmental, and aesthetic–functional aspects, comparing them with existing practices in the design of settlements for displaced persons, modular settlements, and quality standards in residential environments. The results demonstrate, at multiple scales, the critical interdependence of sustainable development, aesthetics and functionality, and community creation. We emphasize the need to include security as an essential fourth axis within the New European Bauhaus concept. This study contributes to addressing the complex housing problem for refugee populations. The generalizations formulated based on empirical research complement the knowledge of housing and the functioning of the sociotechnological system. [ABSTRACT FROM AUTHOR]

There is increasing evidence that biological systems are modular in both structure and function. Complex biological signaling networks such as gene regulatory networks (GRNs) are proving to be composed of subcategories that are interconnected and hierarchically ranked. These networks contain highly dynamic processes that ultimately dictate cellular function over time, as well as influence phenotypic fate transitions. In this work, we use a stochastic multicellular signaling network of pancreatic cancer (PC) to show that the variance in topological rankings of the most phenotypically influential modules implies a strong relationship between structure and function. We further show that induction of mutations alters the modular structure, which analogously influences the aggression and controllability of the disease in silico. We finally present evidence that the impact and location of mutations with respect to PC modular structure directly corresponds to the efficacy of single agent treatments in silico, because topologically deep mutations require deep targets for control. [ABSTRACT FROM AUTHOR]

Carbohydrate-active enzymes (CAZymes) can be found in all domains of life and play a crucial role in metabolic and physiological processes. CAZymes often possess a modular structure, comprising not only catalytic domains but also associated domains such as carbohydrate-binding modules (CBMs) and linker domains. By exploring the modular diversity of CAZy families, catalysts with novel properties can be discovered and further insight in their biological functions and evolutionary relationships can be obtained. Here we present the carbohydrate-active enzyme domain analysis tool (CANDy), an assembly of several novel scripts, tools and databases that allows users to analyze the domain architecture of all protein sequences in a given CAZy family. CANDy's usability is shown on glycoside hydrolase family 48, a small yet underexplored family containing multi-domain enzymes. Our analysis reveals the existence of 35 distinct domain assemblies, including eight known architectures, with the remaining assemblies awaiting characterization. Moreover, we substantiate the occurrence of horizontal gene transfer from prokaryotes to insect orthologs and provide evidence for the subsequent removal of auxiliary domains, likely through a gene fission event. CANDy is available at https://github.com/PyEED/CANDy. [ABSTRACT FROM AUTHOR]

This paper discusses the design and implementation of a portable IoT station. Communication and data synchronization issues in several installations are addressed here, making possible a detailed analysis of the entire system during its operation. The system operator requires a synchronized data stream, combining multiple communication protocols into one single time stamp. The hardware selected for the portable IoT station complies with the International Electrotechnical Commission (IEC) industrial standards. A short discussion regarding interface customization shows how easily the hardware can be modified so that it is integrated with almost any system. A programmable logic controller enables the Node-RED to be utilized. This open-source middleware defines operations for each global variable nominated in the Modbus register. Two applications are presented and discussed in this paper; each application has a distinct methodology utilized to publish and visualize the acquired data. The portable IoT station is highly customizable, consisting of a modular structure and providing the best platform for future research and development of dedicated algorithms. This paper also demonstrates how the portable IoT station can be implemented in systems where time-based data synchronization is essential while introducing a seamless implementation and operation. [ABSTRACT FROM AUTHOR]

Summary: Effector proteins are central to the success of plant pathogens, while immunity in host plants is driven by receptor‐mediated recognition of these effectors. Understanding the molecular details of effector–receptor interactions is key for the engineering of novel immune receptors.Here, we experimentally determined the crystal structure of the Puccinia graminis f. sp. tritici (Pgt) effector AvrSr27, which was not accurately predicted using AlphaFold2. We characterised the role of the conserved cysteine residues in AvrSr27 using in vitro biochemical assays and examined Sr27‐mediated recognition using transient expression in Nicotiana spp. and wheat protoplasts.The AvrSr27 structure contains a novel β‐strand rich modular fold consisting of two structurally similar domains that bind to Zn2+ ions. The N‐terminal domain of AvrSr27 is sufficient for interaction with Sr27 and triggering cell death. We identified two Pgt proteins structurally related to AvrSr27 but with low sequence identity that can also associate with Sr27, albeit more weakly. Though only the full‐length proteins, trigger Sr27‐dependent cell death in transient expression systems.Collectively, our findings have important implications for utilising protein prediction platforms for effector proteins, and those embarking on bespoke engineering of immunity receptors as solutions to plant disease. [ABSTRACT FROM AUTHOR]

On-orbit servicing and on-orbit assembly represent very appealing mission concepts that could facilitate the exploitation of the space environment. Autonomy is a critical requirement for systems aimed at the execution of these operations. The development of enabling technologies for this type of missions is a focal research topic for the global space community. The AUTOMA project (University of Padua, Italy) aims at the development of technologies to enable the on-orbit assembly of a standardized modular unit by means of a robotic arm. The goal is the development of a capture interface, composed of a gripper mechanism and a suite of close-range navigation sensors (a navcam, four time-of-flight sensors, two custom matrix sensors based on a set of phototransistors), and the mock-up of a modular assembly unit. The paper prevalently focuses on the conspicuous series of tests that has been performed at subsystem level for the characterization of the two custom matrix sensors, both in terms of their resolution and range of application. In particular, the test campaign has proven how the in-plane matrix sensor provides information about lateral misalignment and relative distance with a resolution of a few millimetres while the roll matrix sensor provides information about the angular roll misalignment with a resolution dependent on the distance between the two bodies. In addition, an analytical relation for the computation of the relative distance through the information provided by the in-plane matrix has been investigated. • Capture interface composed of a gripper mechanism and a suite of close-range navigation sensors. • Design of a standardized unit mock-up for modular assembly. • Custom sensors based on a matrix of phototransistors activated by an infrared LED beacon counterpart. • Testing campaign aimed at the characterization of the custom matrix sensors. • Analysis of a relation for the retrieval of the relative distance based on the number of phototransistors activated. [ABSTRACT FROM AUTHOR]