Set Of Engineering Tools Research Articles

The Search of a Molecular “Swiss Knife” for Chloroplast Genomic Editing

In recent years, genome editing methods have become an integral part of the genetic engineering toolset that allows for making targeted changes to plant genomes, both in the case of single-gene mutations and multiplex modifications. These technologies were mostly proven effective for editing nuclear genomes. However, plastids, the best-known example of which is chloroplasts, have their own genome (plastome), which is also available for various genetic manipulations, including editing. Despite the fact that the modification of plastomes represents a very promising task for modern biotechnology, the structure of plastids and the peculiarities of their genome organization require the specific adaptation of genome editing methods. This applies to both the design of genetic constructs and methods of their delivery to plastids. The article provides an overview of the current state of research in the field of plastid genome editing with chloroplasts taken as an example. We consider the possibilities of using programmable genome-editing technologies, analyze their effectiveness, limitations, and problems caused by the structural features of these organelles, and their genome organization. We discuss the results of the first successful experiments in this field and try to assess the prospects for the development of tools and methods for increasing the efficiency and the specificity of this biotechnological platform.

Oncogene-like addiction to aneuploidy in human cancers.

Most cancers exhibit aneuploidy, but its functional significance in tumor development is controversial. Here, we describe ReDACT (Restoring Disomy in Aneuploid cells using CRISPR Targeting), a set of chromosome engineering tools that allow us to eliminate specific aneuploidies from cancer genomes. Using ReDACT, we created a panel of isogenic cells that have or lack common aneuploidies, and we demonstrate that trisomy of chromosome 1q is required for malignant growth in cancers harboring this alteration. Mechanistically, gaining chromosome 1q increases the expression of MDM4 and suppresses p53 signaling, and we show that TP53 mutations are mutually exclusive with 1q aneuploidy in human cancers. Thus, tumor cells can be dependent on specific aneuploidies, raising the possibility that these "aneuploidy addictions" could be targeted as a therapeutic strategy.

Molecular Engineering to Tune Functionality: The Case of Cl-Substituted [Fe(terpy)2]2.

The properties of transition-metal complexes and their chemical dynamics can be effectively modified with ligand substitutions, and theory can be a great aid to such molecular engineering. In this paper, we first theoretically explored how substitution with a Cl atom at different positions of the terpyridine ligand affects the electronic structure of the [Fe(terpy)2]2+ complex. We found that besides the substitution at position 4', the next most promising candidate to cause substantial electronic effects is that where the side pyridine ring is substituted at position 5 (β). Therefore, next, we examined in detail the Fe(II) complexes of the 5-chloro and 5,5″-dichloro derivatives of terpy, theoretically and experimentally, to reveal how these substitutions modify the ground state properties and the lifetime of the excited quintet state in such complexes. In addition, we extend the investigation to the complexes of the analogously substituted derivatives of 4'-SMe-terpy. The substitution at position(s) 5 (and 5″) with Cl lowers the energy of the quintet state and increases its lifetime; the results on the 4'-SMe-substituted complexes show similar changes with these two substitutions, verifying that these effects are more or less additive. This study contributes to the enhancement of our molecular engineering toolset for modifying the potential energy landscape of similar complexes.

Abstract 4567: Transcriptomic analysis of a 3D engineered cancer model recapitulating stage-dependent heterogeneity in colorectal PDX tumors

Abstract Colorectal cancer (CRC) is the third-most leading cause of cancer-related deaths in the United States. To advance the understanding of CRC tumor progression, models which mimic the tumor microenvironment (TME) and have translatable study outcomes are urgently needed. CRC patient-derived xenografts (PDXs) are promising tools for their ability to recapitulate tumor heterogeneity and key patient tumor characteristics, such as molecular characteristics. However, as in vivo models, CRC PDXs are costly and low-throughput, which leads to a need for equivalent in vitro models. To address this need, we previously established an in vitro model using a tissue engineering toolset with CRC PDX cells. However, it is unclear whether tissue engineering has the capacity to maintain patient- and/or cancer stage-specific tumor heterogeneity. To address this gap, we employed three PDX tumor lines, originated from stage II, III-B, and IV CRC tumors, in the formation of 3D engineered CRC PDX (3D-eCRC-PDX) tissues and performed an in-depth comparison between the 3D-eCRC-PDX tissues and the original CRC-PDX tumors. To form the tissues, CRC-PDX tumors were expanded in vivo and dissociated. The isolated cells were encapsulated within poly(ethylene glycol)-fibrinogen hydrogels and remained viable and proliferative post encapsulation over the course of 29 days in culture. To gain molecular insight into the maintenance of PDX line stage heterogeneity, we performed a transcriptomic analysis using RNA seq to determine the extent to which there were similarities and differences between the CRC-PDX tumors and the 3D-eCRC-PDX tissues. We observed the greatest correspondence in overlapping differentially expressed human genes, gene ontology, and Hallmark gene set enrichment between the 3D-eCRC-PDX tissues and CRC-PDX tumors in the stage II PDX line, while the least correspondence was observed in the stage IV PDX line. The Hallmark gene set enrichment from murine mapped RNA seq transcripts was PDX line-specific which suggested that the stromal component of the 3D-eCRC-PDX tissues was maintained in a PDX line-dependent manner. Consistent with our transcriptomic analysis, we observed that tumor cell subpopulations, including human proliferative (B2M+Ki67+) and CK20+ cells, remained constant for up to 15 days in culture even though the number of cells in the 3D-eCRC-PDX tissues from all three CRC stages increased over time. Yet, tumor cell subpopulation differences in the stage IV 3D-eCRC-PDX tissues were observed starting at 22 days in culture. Overall, our results demonstrate a strong correlation between our in vitro 3D-eCRC-PDX models and the originating in vivo CRC-PDX tumors, providing evidence that these engineered tissues may be capable of mimicking patient- and/or cancer stage-specific heterogeneity. Citation Format: Yuan Tian, Iman Hassani, Benjamin Anbiah, Bulbul Ahmed, William Van Der Pol, Elliot J. Lefkowitz, Peyton C. Kuhlers, Nicole L. Habbit, Martin J. Heslin, Elizabeth A. Lipke, Michael W. Greene. Transcriptomic analysis of a 3D engineered cancer model recapitulating stage-dependent heterogeneity in colorectal PDX tumors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4567.

Abstract 4560: Assay-ready tissue-engineered cancer microspheres for high-throughput screening

Abstract For drug discovery, new in vitro cancer models are needed to obtain more translatable study outcomes in a low-cost and high-throughput manner. For this purpose, 3D cancer spheroids have been established as more effective than 2D models. Current commercial techniques, however, rely heavily on self-aggregation of dissociated cells and cannot replicate key features of the native tumor microenvironment, particularly due to a lack of control over extracellular matrix components and heterogeneity in size and aggregate-forming tendencies. Also, current spheroidal techniques are typically limited to one spheroid per well, therefore providing a narrow range of cell numbers per well, disadvantageous for assay development in drug screening. Here, we overcome these challenges by coupling tissue engineering toolsets with microfluidic technologies to create engineered cancer microspheres and sorting desired numbers of microspheres into assay-ready well-plate format. To form the engineered cancer microspheres, MCF7 (non-metastatic) and MDA-MB-231 (metastatic) breast cancer cells were encapsulated within poly(ethylene glycol)-fibrinogen hydrogels using our previously developed microfluidic platform. Highly uniform cancer microspheres (intra and inter-batch coefficient of variation ≤ 5%) with high cell densities (over 20 × 106 cells/ml) were produced rapidly, which is critical for use in drug testing. The microspheres supported the 3D culture of both breast cancer cell lines over at least 14 days in culture. Encapsulated cells displayed cell type-specific differences in morphology, proliferation, metabolic activity, ultrastructure, and overall microsphere size distribution and bulk stiffness. To prepare assay-ready pre-plated microspheres, a COPAS FP flow cytometer was used for its ability to analyze and sort large sample particles such as tumor spheroids and hydrogel cancer microspheres generated in this study. When using a 96-well plate, the sorting rate varied from 2.5 - 6 microspheres per second, depending on the sample concentration. When sorting a desired number of microspheres per well, the accuracy was greater than 95% as verified visually by microscopy. Viability of sorted microspheres was verified 24 hours post-sort. Shipping conditions were established that maintained cell viability for remote use in drug testing. Methods for compound addition by pinning and imaging were tested and optimized. Using these approaches, the microsphere system was shown to be compatible with an automated liquid handling system for administration of drug compounds; MDA-MB-231 microspheres were distributed in 384 well plates and treated with chemotherapeutic drugs. Expected responses were quantitated using CellTiter-Glo® 3D and detected using automated imaging. Overall, our results demonstrate initial applicability for the tissue-engineered cancer microspheres for drug screening. Citation Format: Yuan Tian, Yongwoon Kim, Wen J. Seeto, Shantanu Pradhan, Dmitriy Minond, Rock Pulak, Elizabeth A. Lipke. Assay-ready tissue-engineered cancer microspheres for high-throughput screening. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4560.

Enabling Floating Offshore VAWT Design by Coupling OWENS and OpenFAST

Vertical-axis wind turbines (VAWTs) have a long history, with a wide variety of turbine archetypes that have been designed and tested since the 1970s. While few utility-scale VAWTs currently exist, the placement of the generator near the turbine base could make VAWTs advantageous over tradition horizontal-axis wind turbines for floating offshore wind applications via reduced platform costs and improved scaling potential. However, there are currently few numerical design and analysis tools available for VAWTs. One existing engineering toolset for aero-hydro-servo-elastic simulation of VAWTs is the Offshore Wind ENergy Simulator (OWENS), but its current modeling capability for floating systems is non-standard and not ideal. This article describes how OWENS has been coupled to several OpenFAST modules to update and improve modeling of floating offshore VAWTs and discusses the verification of these new capabilities and features. The results of the coupled OWENS verification test agree well with a parallel OpenFAST simulation, validating the new modeling and simulation capabilities in OWENS for floating VAWT applications. These developments will enable the design and optimization of floating offshore VAWTs in the future.

Research on Size Optimization of Wave Energy Converters Based on a Floating Wind-Wave Combined Power Generation Platform

Wind energy and wave energy often co-exist in offshore waters, which have the potential and development advantages of combined utilization. Therefore, the combined utilization of wind and waves has become a research hotspot in the field of marine renewable energy. Against this background, this study analyses a novel integrated wind-wave power generation platform combining a semi-submersible floating wind turbine foundation and a point absorber wave energy converter (WEC), with emphasis on the size optimization of the WEC. Based on the engineering toolset software ANSYS-AQWA, numerical simulation is carried out to study the influence of different point absorber sizes on the hydrodynamic characteristics and wave energy conversion efficiency of the integrated power generation platform. The well-proven CFD software STAR CCM+ is used to modify the heaving viscosity damping of the point absorber to study the influence of fluid viscosity on the response of the point absorber. Based on this, the multi-body coupled time-domain model of the integrated power generation platform is established, and the performance of the integrated power generation platform is evaluated from two aspects, including the motion characteristics and wave energy conversion efficiency, which provides an important reference for the design and optimization of the floating wind-wave power generation platform.

Abstract 175: Production of cancer tissue-engineered microspheres for high-throughput screening

Abstract There is a need for new in vitro systems that enable pharmaceutical companies to collect more physiologically-relevant information on drug response in a low-cost and high-throughput manner. For this purpose, three-dimensional (3D) spheroidal models have been established as more effective than two-dimensional models. Current commercial techniques, however, rely heavily on self-aggregation of dissociated cells and are unable to replicate key features of the native tumor microenvironment, particularly due to a lack of control over extracellular matrix components and heterogeneity in shape, size, and aggregate forming tendencies. In this study, we overcome these challenges by coupling tissue engineering toolsets with microfluidics technologies to create engineered cancer microspheres. Specifically, we employ biosynthetic hydrogels composed of conjugated poly(ethylene glycol) (PEG) and fibrinogen protein (PEG-Fb) to create engineered breast and colorectal cancer tissue microspheres for 3D culture, tumorigenic characterization, and examination of potential for high-throughput screening (HTS). MCF7 and MDA-MB-231 cell lines were used to create breast cancer microspheres and the HT29 cell line and cells from a stage II patient-derived xenograft (PDX) were encapsulated to produce colorectal cancer (CRC) microspheres. Using our previously developed microfluidic system, highly uniform cancer microspheres (intra-batch coefficient of variation (CV) ≤ 5%, inter-batch CV < 2%) with high cell densities (>20×106 cells/ml) were produced rapidly, which is critical for use in drug testing. Encapsulated cells maintained high viability and displayed cell type-specific differences in morphology, proliferation, metabolic activity, ultrastructure, and overall microsphere size distribution and bulk stiffness. For PDX CRC microspheres, the percentage of human (70%) and CRC (30%) cells was maintained over time and similar to the original PDX tumor, and the mechanical stiffness also exhibited a similar order of magnitude (103 Pa) to the original tumor. The cancer microsphere system was shown to be compatible with an automated liquid handling system for administration of drug compounds; MDA-MB-231 microspheres were distributed in 384 well plates and treated with staurosporine (1 μM) and doxorubicin (10 μM). Expected responses were quantified using CellTiter-Glo® 3D, demonstrating initial applicability to HTS drug discovery. PDX CRC microspheres were treated with Fluorouracil (5FU) (10 to 500 μM) and displayed a decreasing trend in metabolic activity with increasing drug concentration. Providing a more physiologically relevant tumor microenvironment in a high-throughput and low-cost manner, the PF hydrogel-based cancer microspheres could potentially improve the translational success of drug candidates by providing more accurate in vitro prediction of in vivo drug efficacy. Citation Format: Elizabeth A. Lipke, Wen J. Seeto, Yuan Tian, Mohammadjafar Hashemi, Iman Hassani, Benjamin Anbiah, Nicole L. Habbit, Michael W. Greene, Dmitriy Minond, Shantanu Pradhan. Production of cancer tissue-engineered microspheres for high-throughput screening [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 175.

Modular (de)construction of complex bacterial phenotypes by CRISPR/nCas9-assisted, multiplex cytidine base-editing

CRISPR/Cas technologies constitute a powerful tool for genome engineering, yet their use in non-traditional bacteria depends on host factors or exogenous recombinases, which limits both efficiency and throughput. Here we mitigate these practical constraints by developing a widely-applicable genome engineering toolset for Gram-negative bacteria. The challenge is addressed by tailoring a CRISPR base editor that enables single-nucleotide resolution manipulations (C·G → T·A) with >90% efficiency. Furthermore, incorporating Cas6-mediated processing of guide RNAs in a streamlined protocol for plasmid assembly supports multiplex base editing with >85% efficiency. The toolset is adopted to construct and deconstruct complex phenotypes in the soil bacterium Pseudomonas putida. Single-step engineering of an aromatic-compound production phenotype and multi-step deconstruction of the intricate redox metabolism illustrate the versatility of multiplex base editing afforded by our toolbox. Hence, this approach overcomes typical limitations of previous technologies and empowers engineering programs in Gram-negative bacteria that were out of reach thus far.

Comprehensive interrogation of the ADAR2 deaminase domain for engineering enhanced RNA editing activity and specificity.

Adenosine deaminases acting on RNA (ADARs) can be repurposed to enable programmable RNA editing, however their exogenous delivery leads to transcriptome-wide off-targeting, and additionally, enzymatic activity on certain RNA motifs, especially those flanked by a 5' guanosine is very low thus limiting their utility as a transcriptome engineering toolset. Towards addressing these issues, we first performed a novel deep mutational scan of the ADAR2 deaminase domain, directly measuring the impact of every amino acid substitution across 261 residues, on RNA editing. This enabled us to create a domain-wide mutagenesis map while also revealing a novel hyperactive variant with improved enzymatic activity at 5'-GAN-3' motifs. As overexpression of ADAR enzymes, especially hyperactive variants, can lead to significant transcriptome-wide off-targeting, we next engineered a split-ADAR2 deaminase which resulted in >100-fold more specific RNA editing as compared to full-length deaminase overexpression. Taken together, we anticipate this systematic engineering of the ADAR2 deaminase domain will enable broader utility of the ADAR toolset for RNA biotechnology applications.

Ecology‐inspired resilient and affordable system of systems using degree of system order

AbstractAn optimal trade‐off between resilience (the ability to survive and recover from disruptions) and affordability is highly desirable in System of Systems (SoS) architectures. However, it is difficult to design SoS architectures for these goals as existing resilience evaluation methods require detailed disruption models that are not readily available in the early stages of design. Biological ecosystems (nature's resilient SoS) achieve these goals through a unique balance of efficient and redundant interactions in their architectures—measured using the metric Degree of System Order (DoSO). This research tests if this ecological architecting principle and the DoSO metric are useful for designing resilient and affordable SoS. The resilience versus affordability tradespace of a large number of notional SoS architectures is investigated using the DoSO metric. Results indicate that the majority of Pareto optimal SoS architectures, under various disruptions, lie in the ecologically‐identified favorable DoSO range. Further, SoS architectures within this DoSO range were found to have better resilience and affordability attributes, in general, than the architectures outside it. DoSO evaluation does not require knowledge of disruption scenarios and is the first network architecture metric to consider resilience versus affordability trade‐offs, making it a valuable addition to the SoS engineering toolset.

A Connective Framework to Support the Lifecycle of Cyber–Physical Production Systems

The potential benefits of the adoption of cyber-physical production systems (CPPSs) and their significant role in enabling smart manufacturing is well recognized today. However, it is less clear how such CPPS can be most effectively and consistently engineered and maintained throughout their lifecycle due to the existing divide in the information technology (IT) and operational technology (OT) landscape and ad hoc integration practices that result in inconsistent data and data models at various levels of manufacturing processes. The work presented in this article addresses this problem by envisioning a connective framework to support the engineering of CPPS through the use of a set of digital twins consistent with the real system throughout its lifecycle, not just used in the design and deployment phases. A review of the latest perspectives on using digital integration frameworks, methods, and solutions for lifecycle engineering of CPPS is provided in this article. This article demonstrates how a suitable framework, named SIMPLE, can be realized to effectively address the lack of consistent data models throughout the engineering lifecycle, including implementation details and example cases developed by the authors at the Warwick Manufacturing Group (WMG) in selected industrial sectors. Consideration is given to supporting cyber-to-physical systems' connectivity and extendable engineering toolsets, forming the basis for multidisciplinary digital engineering environments. Key discussion points include the role and importance of effective integration of IT and OT, suitable frameworks for integration and collaboration.

Модель компьютерной атаки типа «phishing» на локальную компьютерную сеть

Abstract: The purpose of the article is to inform information security specialists and researchers of the identified analytical dependencies that take into account the parameters that characterize the process of conducting computer attacks of the “Phishing” type. New dependencies provide an increase in the reliability of the results of assessing the security of a local computer network that has access to the global information space from the specified threat. Research method: simulation of computer attacks of the “Phishing” type and determination of the analytical model based on the approximation of the simulation results. The result: a set of tools for engineering and technical personnel has been created to assess the security of a local computer network from a “Phishing” type of computer attack and, if the result is unsatisfactory, determine measures to protect the network.

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered double-glazed windows within the framework of a virtual instrument-building enterprise (VIE) that produces solar energy complexes. It is shown that improving the efficiency in solving the tasks related to managing the quality of VIE products necessitates the application of an ontological engineering toolset to create a unified knowledge space that would cover the manufacturing phase of a product's life cycle. The methodical basis for making an ontological information-analytical system (OIAS) to manage product quality was the tool platform TODOS (Ukraine) whose means were used to synthesize a set of ontological models that make up the intelligent core of OIAS. The OIAS knowledge-based inference procedure has been described when making a decision about a deviation in the manufacturing process that led to the emergence of damage. This procedure implies the implementation of direct and reverse inference based on the knowledge in the ontological environment and makes it possible to identify the sources of defects and damage and generate a solution to eliminating these sources. Procedures have been devised to assess the effectiveness of the development and application of OIAS to automate the quality management of multi-layered double-glazed windows. These procedures employ a set of indicators that reflect both the technical and economic components of the quality control process. It has been shown that during 2019 a typical subcontractor enterprise that applied the developed system managed to reduce the number of defective products by about 73 %. Further research areas have been identified, including the development of methodical means and, based on them, the toolsets for the deployment of industrial ontological quality management systems

A genome engineering resource to uncover principles of cellular organization and tissue architecture by lipid signaling.

Phosphoinositides (PI) are key regulators of cellular organization in eukaryotes and genes that tune PI signaling are implicated in human disease mechanisms. Biochemical analyses and studies in cultured cells have identified a large number of proteins that can mediate PI signaling. However, the role of such proteins in regulating cellular processes in vivo and development in metazoans remains to be understood. Here, we describe a set of CRISPR-based genome engineering tools that allow the manipulation of each of these proteins with spatial and temporal control during metazoan development. We demonstrate the use of these reagents to deplete a set of 103 proteins individually in the Drosophila eye and identify several new molecules that control eye development. Our work demonstrates the power of this resource in uncovering the molecular basis of tissue homeostasis during normal development and in human disease biology.

Developing a broad-range promoter set for metabolic engineering in the thermotolerant yeast Kluyveromyces marxianus

Kluyveromyces marxianus is an emerging host for metabolic engineering. This thermotolerant yeast is the fastest growing eukaryote, has high flux through the TCA cycle, and can metabolize a broad range of C5, C6, and C12 carbon sources. In comparison to the common host Saccharomyces cerevisiae, this non-conventional yeast suffers from a lack of metabolic engineering tools to control gene expression over a wide transcriptional range. To address this issue, we designed a library of 25 native-derived promoters from K. marxanius CBS6556 that spans 87-fold transcriptional strength under glucose metabolism. Six promoters from the library were further characterized in both glucose and xylose as well as across various temperatures from 30 to 45 ​°C. The temperature study revealed that in most cases EGFP expression decreased with elevating temperature; however, two promoters, PSSA3 and PADH1, increased expression above 40 ​°C in both xylose and glucose. The six-promoter set was also validated in xylose for triacetic acid lactone (TAL) production. By controlling the expression level of heterologous 2-pyrone synthase (2-PS), the specific TAL titer increased over 8-fold at 37 ​°C. Cultures at 41 ​°C exhibited a similar TAL biosynthesis capability, while at 30 ​°C TAL levels were lower. Taken together, these results advance the metabolic engineering tool set in K. marxianus and further develop this new host for chemical biosynthesis.

Confluent Modeling of Heterogeneous Safety and Operational Instrumentation and Control Systems

Abstract Individual systems or groups of systems related to the safety and operational instrumentation & control (I&C), and electrical systems are gradually replaced in existing nuclear power plants (NPPs) as part of modernization projects. Modernizations are usually scheduled over multiple years. Different automation platform generations and safety-related product families are deployed to progressively replace legacy systems. Typically, each of the new I&C platforms and products have their own set of engineering tools. One challenge for the modernization of installed systems is the safety and security approval of these heterogeneous systems by regulatory bodies. An NPP consists of systems manufactured by different vendors, which target different application domains, like category A according to IEC 61226 for a reactor protection system, category C for some control room data processing systems or nonclassified for auxiliary systems. Thus, replacing a legacy system by introducing a new one might bring in unknown risks, especially when the new system has more complex interfaces, e.g., when replacing an analog system by a digital system. Moreover, considering the time and budget limitations, commercial-off-the-shelf (COTS) hardware and software are also involved in modernization projects. In contrast to specialized equipment, vulnerabilities for COTS are widespread. On the other hand, existing security measures/mitigations are also required to reflect the system's changes, e.g., mitigations for known vulnerabilities of COTS systems. In order to make an overall and integrated safety analysis after a system change in the frame of a modernization project, it is necessary to jointly consider these I&C systems targeting different application domains, in addition to the physical aggregates, like sensors, pumps, and valves that interact with the physical processes. The restrictive deployment of wireless technologies may also be modeled and analyzed. While wireless is not deployed by legacy systems, it is being covered by new nuclear IEC standards, as some utilities intend to simplify selected I&C maintenance procedures that involve temporary data collection. The key modeling concepts consider new developments in the critical infrastructure and industrial automation domain. With the integrated modeling approach, different disciplines can be addressed, like probabilistic and deterministic safety analyses, security assessments, need for testing and specialized trainings.

Surface Compositional Change of Iron Oxide Porous Nanorods: A Route for Tuning their Magnetic Properties.

The capability of synthesizing specific nanoparticles (NPs) by varying their shape, size and composition in a controlled fashion represents a typical set of engineering tools that tune the NPs magnetic response via their anisotropy. In particular, variations in NP composition mainly affect the magnetocrystalline anisotropy component, while the different magnetic responses of NPs with isotropic (i.e., spherical) or elongated shapes are mainly caused by changes in their shape anisotropy. In this context, we propose a novel route to obtain monodispersed, partially hollow magnetite nanorods (NRs) by colloidal synthesis, in order to exploit their shape anisotropy to increase the related coercivity; we then modify their composition via a cation exchange (CE) approach. The combination of a synthetic and post-synthetic approach on NRs gave rise to dramatic variations in their magnetic features, with the pores causing an initial magnetic hardening that was further enhanced by the post-synthetic introduction of a manganese oxide shell. Indeed, the coupling of the core and shell ferrimagnetic phases led to even harder magnetic NRs.

On a tool-supported model-based approach for building architectures and roadmaps: The MegaM@Rt2 project experience

MegaM@Rt2 is a large European project dedicated to the provisioning of a model-based methodology and supporting tooling for system engineering at a wide scale. It notably targets the continuous development and runtime validation of such complex systems by developing a framework addressing a large set of engineering processes and application domains. This collaborative project involves 27 partners from 6 different countries, 9 industrial case studies as well as over 30 different software tools from project partners (and others). In the context of the MegaM@Rt2 project, we elaborated on a pragmatic model-driven approach to specify the case study requirements, design the high-level architecture of a framework, perform the gap analysis between the industrial needs and current state-of-the-art, and plan a first framework development roadmap accordingly. The present paper describes the generic tool-supported approach that came out as a result. It also details its concrete application in the MegaM@Rt2 project. In particular, we discuss the collaborative modeling process, the requirement definition tooling, the approach for components modeling, as well as the traceability and document generation. In addition, we show how we used the proposed solution to specify the MegaM@Rt2 framework’s conceptual tool components centered around three complementary tool sets: the MegaM@Rt2 System Engineering Tool Set, the MegaM@Rt2 Runtime Analysis Tool Set and the MegaM@Rt2 Model & Traceability Management Tool Set. The paper ends with a discussion on the practical lessons we have learned from this work so far.

Real-Time Wireless Control for a Data Acquisition-Based Micro-Computer System

Real-time communications (RTC) wireless multi-channel data acquisition systems provide promising remote interactive solutions. This paper develops and implements wireless octet channels for data detection and processing. Data analysis and suitable control action are accomplished by using an Arduino UNO controller interfaced with the National Instruments (NI) LabVIEW virtual engineering toolset. A simple graphical user interface has been developed and implemented. Sensors for humidity, pulse, temperature and motion are used for reading the environmental parameters. The system can accommodate measurements of eight individual parameters at different reading speeds. In addition, high-accuracy data measurements can be obtained by using the mean values technique for the three sensors in cases such as temperature and humidity. An efficient storage technique for dated and timed data can be optimized to cancel all successive repeated measurements. Whenever the environmental parameters have been changed the system will store only the updated changes, thus providing an accurate enough description of the sensor output as well as significant reduction in required memory. Quad flags are implemented as the actuators triggering signals. The acquired data can be remotely monitored via either smartphones or computers located in the WI-FI local area network coverage area.