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This article is a summary of the 10th International Conference on Inverse Problems in Engineering (ICIPE 22), which took place in May 2022 in Francavilla al Mare, Italy. The conference brought together applied mathematicians and engineers from various disciplines to collaborate and discuss the use of inverse analysis tools in fields such as manufacturing, medical imaging, and space applications. The event also honored Professor James V. Beck, who made significant contributions to parameter estimation and inverse heat transfer problems. The conference featured keynote addresses, lectures, and a tribute to Prof. Beck. The article expresses gratitude to the organizers, sponsors, reviewers, and the editor-in-chief of the Heat Transfer Engineering Journal. The 11th ICIPE conference will be held in Brazil in 2024. [Extracted from the article]

New technologies usually have potential, but their mode of action and long-term consequences are not always immediately apparent. This challenge can be met in an interdisciplinary way with approaches that integrate different perspectives. Young scientists have come together to work on meeting this challenge from an interdisciplinary perspective in the Young Forum of Technical Sciences: Technology that people really want. The aim is to support user-centred technology development based on interdisciplinary methods. Engineering, law, social sciences and the humanities can work together to shape technical developments in a way that leads to a form of technology that is adapted to the needs of society. Interdisciplinarity in research and development means mutual permeation of disciplines instead of mere coexistence. The aim is to promote interdisciplinary research groups and projects and to develop common methods. [ABSTRACT FROM AUTHOR]

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. [ABSTRACT FROM AUTHOR]

In this framework, experimental tests on different battery technologies, BMS and cooling systems are extremely important to extend the battery life and BEV performance (Sehil et al. [[13]]). Electrical machines and magnetic components, high-voltage voltage power converters, and battery storage systems are some basic bricks to build an effective and efficient energy conversion environment. Electrical Machines and Power Converters The electrical power conversion from renewable energy sources plays a crucial role in the development of a sustainable society. Finally, the fil rouge of every contribution in this section is oriented to investigate the power converters, electrical machines, magnetic components, and battery storage systems in actual energy conversion applications for renewable energy sources integration by a modelling approach. [Extracted from the article]

Endo-1,4-β-xylanases belonging to the glycoside hydrolase (GH) 11 family hydrolyze the β-1,4-glycosidic linkages in the xylan backbone to convert polymeric xylan into xylooligosaccharides. GH11 xylanases play an essential role in sugar metabolism and are one of the most widely used enzymes in various industries, such as pulp and paper, food and feed, biorefinery, textile, and pharmaceutical industries. pH is a crucial factor influencing the biochemical properties of GH11 xylanase and its application in bioprocessing. For the optimal pH shifting of GH11 xylanase in industrial applications, various protein engineering studies using directed evolution, rational engineering, and in silico approaches have been adopted. Here, we review the functions, structures, and engineering methods developed for the optimal pH shifting of GH11 xylanases. The various GH11 engineering techniques and key residues involved in pH shifting are discussed based on their crystal and modeled structure. This review provides an overview of recent advancements in the characterization and engineering of GH11 xylanases, providing a guide for future research in this field. [ABSTRACT FROM AUTHOR]

The article discusses ways to teach engineering fundamentals with simple materials. Topics discussed include tips and tricks to use paper effectively to teach engineering principles to children, thousands of STEM/STEAM challenges available in books and online and working of Marina Bernasuli, Technology Coordinator at the Browning School, by using engineering with paper projects throughout the 2020-21 school year.

The concept of digital twins in bridge engineering is still vague and even confused with the Bridge Information Model (BrIM). Therefore, this study provides a detailed review of 42 papers related to digital twins in bridge engineering, focusing on a proper definition, key features and creation techniques for bridge digital twin (BDT). The paper also compares BDT and BrIM from the perspectives of their elements, features, fidelity, services provided, and degree of development. The applications of BDT at different life cycle stages are identified, and the related technologies are analyzed in detail. The results show that the research clusters of BDT are divided into geometric model generation, finite element model updating, and management and are focused on the operation and maintenance phase while lacking attention in the design and construction phase. Besides, a reference framework of BDT based on the life cycle of bridges is proposed, and directions for future research are suggested. [ABSTRACT FROM AUTHOR]

It gives me great pleasure to explore and synthesize the unique and synergistic contributions of 14 articles for this important special issue, as well as to set future directions for the field of engineering education. Given that evidence‐based syntheses help shape key research advances in the medical, psychological, and educational fields, we sought papers that used state‐of‐the‐art methods for systematic reviews and meta‐analyses to explore fundamental topics in engineering education. We received many excellent manuscripts, and eventually accepted 14 for this special issue. They cover a range of topics, including reading and writing in engineering, the use of concept maps for assessment in engineering, and other key topics. Most papers used systematic review methods, while three used scoping reviews and bibliometric methods. However, none used meta‐analysis. Although this is surprising, it presents an opportunity to call for more rigorous experimental and quantitative research on key topics in engineering education. Experimental studies can uncover cause and effect relationships and enable researchers to draw inferences more easily. While I advocate for all traditions of rigorous research, the collection of reviews in this special issue points to a pressing need for more experimental studies in the field of engineering education. [ABSTRACT FROM AUTHOR]

In this paper, the unconventional light‐matter interactions between giant atoms and structured baths (i.e., lattices) are studied with either Hermitian or non‐Hermitian next‐nearest‐neighbor coupling terms. Essentially different dynamics of the atoms and the propagating field in the Hermitian and non‐Hermitian cases is revealed, which can be further engineered by tuning parameters such as the atomic transition frequency and the (synthetic) magnetic field associated to the coupling terms. The next‐nearest‐neighbor couplings play an important role in controlling the emission direction and the field distribution in the lattice, thus providing opportunities for tailoring exotic dipole–dipole interactions. The results in this paper have potential applications in, e.g., engineering unconventional quantum networks and simulating quantum many‐body systems. [ABSTRACT FROM AUTHOR]

The need to evaluate Gauss quadrature rules arises in many applications in science and engineering. It often is important to be able to estimate the quadrature error when applying an ℓ -point Gauss rule, G ℓ (f) , where f is an integrand of interest. Such an estimate often is furnished by applying another quadrature rule, Q k (f) , with k > ℓ nodes, and using the difference Q k (f) − G ℓ (f) or its magnitude as an estimate for the quadrature error in G ℓ (f) or its magnitude. The classical approach to estimate the error in G ℓ (f) is to let Q k (f) , with k = 2 ℓ + 1 , be the Gauss-Kronrod quadrature rule associated with G ℓ (f). However, it is well known that the Gauss-Kronrod rule associated with a Gauss rule G ℓ (f) might not exist for certain measures that determine the Gauss rule and for certain numbers of nodes. This prompted M. M. Spalević [1] to develop generalized averaged Gauss rules, G ˆ 2 ℓ + 1 , with 2 ℓ + 1 nodes for estimating the error in G ℓ (f). Similarly as for (2 ℓ + 1) -node Gauss-Kronrod rules, ℓ nodes of the rule G ˆ 2 ℓ + 1 agree with the nodes of G ℓ. However, generalized averaged Gauss rules are not internal for some measures. They therefore may not be applicable when the integrand only is defined on the convex hull of the support of the measure. This paper describes a new kind of quadrature rules that may be internal also when generalized averaged quadrature rules are not. The construction of the new quadrature rules is based on theory developed by Peherstorfer [2]. Their application is particularly attractive when the rule G ˆ 2 ℓ + 1 is not internal, the integrand cannot be evaluated at all its nodes, and the integrand is inexpensive to evaluate at the quadrature points. Computed examples that illustrate the performance of the new quadrature rules introduced in this paper are presented. [ABSTRACT FROM AUTHOR]

The paper explores the relationship between conceptual engineering and the methodology of the Lvov-Warsaw School. While conceptual engineering is commonly seen as rooted in Rudolf Carnap's works and his method of explication, this paper argues that LWS predates and informs contemporary understanding of this methodology. The paper establishes that LWS not only engaged in but also systematically developed a method of conceptual revision aimed at enhancing clarity, precision, and coherence with specific theoretical frameworks. The analysis shows that LWS's approach to concepts combined both descriptive and normative methodologies to improve and adapt philosophical concepts to better address actual phenomena and certain theoretical or practical needs. This method, described by LWS members as ‘analysis and construction’, parallels contemporary conceptual engineering practices, particularly its so-called ‘narrow’ understanding focused on revising existing concepts rather than on merely introducing new ones. By tracing the historical trajectory of conceptual engineering back to LWS, this paper provides a deeper understanding of its foundational strategies and suggesting that LWS's methodology could serve as a guide for current and future philosophical projects. [ABSTRACT FROM AUTHOR]

The stress of surrounding rock and supporting structure is very complicated during the construction of a loose rock tunnel. The characteristics analysis of collapse arch is very important for the construction safety. This paper compares and analyzes the applicability of the full section method and the three-step method under shallow buried loose surrounding rock, reveals the influence law of tunnel excavation height span ratio on the stability of a pseudo-collapse arch of surrounding rock under shallow buried loose surrounding rock, and rationally chooses the three-step method as the dominant construction method of tunnel construction under this geological condition. For the three-step construction method, the optimization study of the excavation height of the upper step is carried out, the relationship between the excavation height of the tunnel and the stress concentration area under the condition of shallow buried loose surrounding rock is revealed, the influence of surrounding rock stress release on the stability of the tunnel surrounding rock is explored, and the damage of tunnel rock mass caused by the stress concentration phenomenon is analyzed. It is determined that the optimal excavation height of the upper step is 0.4H under the geological conditions of the DS project in Sichuan province, China, under construction. This paper analyzes the influence of structural plane spacing on the stability of a tunnel collapse arch under shallow buried loose conditions and reveals the law that the smaller the structural plane spacing, the worse the self-bearing capacity of the collapse arch, and the higher the risk of engineering accidents such as rock collapse or even collapse in the tunnel, which effectively guides the safe construction of the tunnel under shallow buried loose geological conditions. [ABSTRACT FROM AUTHOR]

Over the past decades, Unmanned Aerial Vehicles (UAVs) have increasingly been used in a wide variety of missions that range from surveillance to delivery. Unlike aircraft that always carry goods and passengers from an airport to another, UAVs do not systematically implement the same type of mission. UAVs are indeed multi‐mission during their time in operation, and the systems engineering approaches developed for one mission aircraft must be adapted to the multi‐mission context. Therefore, UAV design requires application of mission engineering upstream systems engineering, either to assess there is a UAV system that may accomplish a new mission, or to specify a new UAV system according to a given mission. To achieve that goal, the authors of the paper support the use of Model‐Based Mission Engineering. A three‐layer architecture ‐ purpose, operation, functions or capabilities ‐ is proposed as a design framework for missions. The Goal‐Oriented Requirements Language (GRL) serves as mission description language. The paper extends GRL to better address mission‐based design of UAVs. It is proposed to distinguish between internal and external resources. A goal detailing mechanism is introduced. A degraded mode evaluation becomes possible. GRL tools make it possible to evaluate how much a UAV system ‐ at least, an operator, a ground station, and a UAV ‐ may satisfy every stakeholder in both nominal and degraded modes. The proposed approach is applied to a high voltage surveillance UAV. The case study enables the introduction of four actors—Authority, Client, UAV and MissionSupervisor—that turn out to be generic and can be reused for other missions and UAV designs. [ABSTRACT FROM AUTHOR]

Background and Purpose: As a growing number of instructional units have been developed to promote young children's scientific and engineering practices (SEPs), understanding how to evaluate and assess children's SEPs is imperative. However, paper-and-pencil assessments would not be suitable for young children because of their limited reading and writing skills. To explore the assessments for SEPs available for young children aged 3–8 years, this study reviewed assessments of young children's SEPs reported in empirical studies, and analysed the characteristics of these assessments to delineate how young children's SEPs have been measured. Methods: We followed the procedures of a systematic review proposed by Zawacki-Richter et al. (2020). The EBSCOhost database was used to gather empirical studies in education and psychology. A total of 46 articles published from 2003 to 2020 met the inclusion criteria and were reviewed. Findings: The findings indicated that of the eight SEPs suggested by the National Research Council (2012), Analysing and interpreting data was assessed the most, followed by Using mathematics and computational thinking, Constructing explanations and designing solutions, and Planning and carrying out investigations. A majority of assessments were designed for children of 4, 5, and 6 years old and used paper-based visualizations and real objects to present the tasks and items. Additionally, due to the verbal or performance nature of the SEPs, the assessments collected different types of data as evidence to evaluate children's SEPs. Performance-based assessments were the most common, followed by multiple-choice, ranking, and oral responses. Conclusion: The findings of the reviewed assessments revealed a variety of performance expectations of SEPs and suggested that some SEPs are measurable and developmentally appropriate for young children. Also, the availability of assessments is uneven in different types of SEPs, and more assessments for information communication and modelling practices are needed. [ABSTRACT FROM AUTHOR]

Background: Training both pre – and in-service teachers who are capable of planning and enacting engineering design–based science instruction are critical for integrating engineering into K-12 science curricula. Purpose: This study investigates pre-service teachers' efforts to integrate engineering into their lesson plans. Sample: 13 pre-service chemistry teachers, enrolled in a 13-week engineering-infused integrated STEM course, were the participants of the study. Design and Method: Considering the purpose of the study, qualitative design was deemed to be the best fit including qualitative data collected through lesson plans and reflection papers. To assist pre-service teachers' learning, 13-week engineering-infused integrated STEM was started with the information about the engineering profession and how engineers work. Additionally, pre-service teachers engaged in six integrated STEM activities including engineering design cycle. After each activity, the participants were asked to write a reflection paper on what they learned about engineering, the engineering design process, and integrated STEM. Finally, the participants had three chances for analyzing strong and weak integrated STEM lesson plans and planning integrated STEM lesson planning experience with mentors. The pre-and post-course lesson plans (n=26) were analyzed using existing codes from the related literature, which is a deductive coding process. Later, an inductive approach was used to determine the categories of engineering integration into the lesson plans. Four categories (ranging from a complete engineering lesson to a science lesson with no engineering link) were formed. Reflection papers were used to support the findings. Result: The results showed that none of the pre-plans included engineering. However, after participated in a 13-week integrated STEM course, all post-course lesson plans integrated engineering through the use of engineering design processes to some extent. Conclusion: The training with different experiences seems promising for pre-service teachers to learn engineering integration into STEM lesson plans. [ABSTRACT FROM AUTHOR]

Kirigami, the ancient art of paper cutting, has evolved into a design and fabrication framework to engineer multi‐functional materials and structures at vastly different scales. By slit cutting with carefully designed geometries, desirable mechanical behaviors—such as accurate shape morphing, tunable auxetics, super‐stretchability, buckling, and multistability—can be imparted to otherwise inflexible sheet materials. In addition, the kirigami sheet provides a versatile platform for embedding different electronic and responsive components, opening up avenues for building the next generations of metamaterials, sensors, and soft robotics. These promising potentials of kirigami‐based engineering have inspired vigorous research activities over the past few years, generating many academic publications. Therefore, this review aims to provide insights into the recent advance in this vibrant field. In particular, this paper offers the first comprehensive survey of unique mechanical properties induced by kirigami cutting, their underlying physical principles, and their corresponding applications. The synergies between design methodologies, mechanics modeling, advanced fabrication, and material science will continue to mature this promising discipline. [ABSTRACT FROM AUTHOR]

Stimulated Raman Adiabatic Passage (STIRAP) and its variants, such as M-type chainwise-STIRAP, allow for efficiently transferring the populations in a multilevel system and have widely been used to prepare molecules in their rovibrational ground state. However, their transfer efficiencies are generally imperfect. The main obstacle is the presence of losses and the requirement to make the dynamics adiabatic. To this end, in the present paper, a new theoretical method is proposed for the efficient and robust creation and detection of deeply bound molecules in three-level Λ-type and five-level M-type systems via "Invariant-based shortcut-to-adiabaticity." In the regime of large detunings, we first reduce the dynamics of three- and five-level molecular systems to those of effective two- and three-level counterparts. By doing so, the major molecular losses from the excited states can be well suppressed. Consequently, the effective two-level counterpart can be directly compatible with two different "Invariant-based Inverse Engineering" protocols; the results show that both protocols give a comparable performance and have a good experimental feasibility. For the effective three-level counterpart, by considering a relation among the four incident pulses, we show that this model can be further generalized to an effective Λ-type one with the simplest resonant coupling. This generalized model permits us to borrow the "Invariant-based Inverse Engineering" protocol from a standard three-level Λ-type system to a five-level M-type system. Numerical calculations show that the weakly bound molecules can be efficiently transferred to their deeply bound states without strong laser pulses, and the stability against parameter variations is well preserved. Finally, the detection of ultracold deeply bound molecules is discussed. [ABSTRACT FROM AUTHOR]

Abstract: Sustainable recyclable paper and composite materials can be ideal choices for the construction of temporary structures for both exhibition spaces or for rapid-recovery shelters in emergency operations. The unique engineering and sustainable features of these structures need to be considered as an integral part of the design process from the conceptual phase. Engineering studies to analyze these structures should be as important as the overall artistic and architectural vision. This paper examines the use of environmentally creep-formed paper tubes for the design, construction, and exhibition of, “Portals to an Architecture”, a large temporary outdoor sculpture. [Copyright &y& Elsevier]

Research papers published by Chinese and Indian researchers during 1998-2007 and cited at least 100 times by end of 2009 are analysed. There were 776 papers with at least one author from India (amounting to 0.32% of all papers from India) and 2260 papers with at least one author from China (0.4% of all papers from China) that have gone on to be cited at least 100 times. We have identified prominent authors and institutions, journals used and fields of research. Although highly cited Chinese papers were cited on average less often than the highly cited papers from India, Chinese authors have been able to place their papers in high impact journals such as Nature and Science far more often than Indian authors. The Indian Institute of Science, Bangalore, Tata Institute of Fundamental Research, Mumbai and Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore are the prominent Indian institutions, whereas universities in Hong Kong, Peking University, Tshing Hua University and several institutions under the Chinese Academy of Science dominate in China. In terms of citations, Chinese National Human Genome Centre Shanghai, Shanghai, tops the list. [ABSTRACT FROM AUTHOR]

The article presents the list of reviewers focused on recognition of 2017 transactions and magazine paper.

This paper documents the results of the PIM.3 (Process Improvement Management) working group in INTACS (International Assessor Certification Schema) supported by the VDA‐QMC (Verband der Deutschen Automobilindustrie/German Automotive Association–Quality Management Center). INTACS promotes Automotive SPICE, which is an international standard that allows process capability assessment of projects, which implement systems that integrate mechanics, electronics, and software including optionally cybersecurity, functional safety, and machine learning. The paper outlines that for the first time since more than 20 years, the INTACS and VDA‐QMC included a process like PIM.3 Process Improvement Management in the scope for the assessor training. Before that, the assessments focused on the management, engineering, and support processes of series projects, while the improvement management has not been trained or assessed. [ABSTRACT FROM AUTHOR]

AbstractIt is known that skilled immigrants learn to integrate professionally. This paper complexifies this image. By following the experiences of ‘successful’ immigrants working in the engineering profession in Canada, it argues that immigrants engage in not only learning but also knowledge ‘transfer’. Their learning at work often starts as legitimate peripheral participation, and evolves through expansive participation in work activities. Meanwhile, they also ‘transfer’ knowledge and practices, a role that could be amplified given their transnational experiences. Immigrants’ learning and knowledge practices can also be understood as a sociomaterial process of translation, through which they knot together people and objects, while negotating power, position, and positionality at the same time. Through continuous learning and knowledge practices, the paper further highlights that immigrant engineers necessarily articulate themselves into, and to some extent, reticulate the epistemic ‘machineries’ or ‘culture’ of the profession, which is constituted through a nexus of professional associations, societies, institutions, and practice communities that are bounded by professional domains and interests, and lifeworld exigencies. Conceptually, this paper draws on practice-based theories and views continuous learning and knowing as an effect of the sociocultural and sociomaterial organization of professional practices. [ABSTRACT FROM AUTHOR]

In order to improve the efficiency and accuracy of the modeling and design work of the sluice gate project, this paper proposes an automatic generation template of the sluice gate project with customized semantics and project layout scheme, aiming at realizing the rapid assembling of all kinds of components of the sluice gate project. In the construction process, this paper first starts from basic parametric modeling and proposes constraints as the basis of modeling. Subsequently, a template library framework is developed based on the constraints to ensure that the generated templates have a high degree of standardization and consistency. Finally, an efficient and flexible template library is successfully constructed by using the customized classes and functions of Revit API, which provides powerful technical support for the modeling and design work of sluice gate engineering. This achievement helps to promote the informationization and intelligent development of the water conservancy engineering industry, and its versatility and scalability also make it have a wide range of application prospects in other water conservancy engineering fields. [ABSTRACT FROM AUTHOR]

Homomorphic encryption (HE) is an emerging technology that enables computing on data while the data is encrypted. It has advantages, but it also has a significant difficulty. Programmers that use General-Purpose Programming Languages (GPPLs) may find it difficult to handwrite the script code for the HE correctly. This paper presents the front-end compiler design for the first graphical modelling language (DSML) to implement HE schemas, called HomoLang. It is providing a graphical environment with graphical building nodes that represent the HE concepts to enable the building of HE schemas. A high degree of abstraction and a decrease in grammatical and runtime errors improved the expressiveness and efficiency of implementation. Six security tests for security analysis were provided. The efficiency of the submitted language was evaluated using four subjective metrics. This paper provides a detailed explanation of the attributes, evaluation details, and design of the submitted HomoLang. [ABSTRACT FROM AUTHOR]

This paper provides an overview of the current research status on the physical, chemical, and engineering characteristics of saline-alkali soils, focusing on issues such as dilatation, collapsibility, and freeze-thaw damage in the soil materials of saline-alkali soil regions. To mitigate the adverse effects of saline-alkali soils on engineering projects, common stabilization methods are summarized and their respective solidification mechanisms are analyzed. Furthermore, this paper reviews the physical and mechanical properties of saline-alkali soils after solidification through various approaches, particularly in cold regions. The prospects for the future development of solidifying saline-alkali soils are discussed, along with potential directions for engineering research in this field. [ABSTRACT FROM AUTHOR]

This paper revisits Wittgenstein’s heavily criticized claims about the admissibility of inconsistencies in mathematics. It argues from the perspective of mathematics as a tool and combines material from the history and practice of engineering that makes Wittgenstein’s claims about contradiction and inconsistency look much more plausible. Against this background, the paper interprets passages from Wittgenstein, including his exchange with Alan Turing where he highlights that basic laws of thought are at issue and that reflecting on them would be “the most important thing” he has talked about. [ABSTRACT FROM AUTHOR]

Modelica is a simulation language that is able to model systems from many different fields of scientific and engineering contexts, which can coexist in individual models. Modelica Standard Library is an open‐source library that contains many ready‐to‐use open‐source models built in Modelica language but does not have any code to determine transmission line parameters from its geometry, thus limiting its usability for power system studies. This paper first describes important issues arising when modelling power transmission lines, then presents how they can be solved using Modelica code. Readers of this paper will, therefore, be able to model power lines from the geometry of conductors using any of the existing (some freely available) Modelica‐capable simulation tools. [ABSTRACT FROM AUTHOR]

The surfaces of engineering components experience severe conditions during service life and may lead to catastrophic failure if proper care is not taken. The coating is one of the best possible ways to enhance surface properties of a part. Tungsten inert gas (TIG) cladding has emerged as a new technique which shows promising results in surface cladding domain. This paper deals with the recent developments in TIG cladding process. The processing parameters associated with the TIG cladding process are discussed. The microstructure, microhardness, wear, and corrosion behavior of the TIG-cladded layers are mentioned and correlated with the processing conditions. Finally, this paper concludes with some suggestions for future research. [ABSTRACT FROM AUTHOR]

The application of STEM (Science, Technology, Engineering, and Math) education in solving real-world problems is challenging. To tackle this challenge, a project-based learning approach that integrates robots with cost-effective self-made toys to problem-solving was adopted to assist rural primary school students to apply STEM skills. The purpose of this study was to evaluate the effects of the project-based learning approach which includes lecturing and hands-on activities on primary school students' STEM learning outcomes and attitudes. An experiment was conducted with 25 primary school students who voluntarily participated in a STEM summer-camp programme. Students were asked to assemble a paper house equipped with an IoT control module and LED light switches, and write and edit robot scripts to produce a robot-based storytelling narrative using the paper house they made as a context. The results show that the project-based learning approach was an effective approach for cultivating primary school students' STEM knowledge and skills as evidenced from the post-written test. The relationships between the students' STEM learning outcomes and attitudes were also confirmed by a clustering analysis. Students who had higher learning attitudes also achieved higher STEM learning outcomes; the findings are also supported by the feedback from the open-ended questionnaire items. This study suggests that integrating low-cost self-made toys and robots in project-based learning activities is an effective and practical approach to enhance primary school students' learning outcomes and learning attitudes in STEM education. [ABSTRACT FROM AUTHOR]

In recent years, the construction industry worldwide has shown significant interest in Building Information Modeling (BIM). This study aims to analyze the dissemination of knowledge about BIM in construction engineering applications using Main Path Analysis (MPA). The research sample comprises 3,761 papers related to BIM's application in the construction industry, sourced from the ISI Web of Science database. Initially, we investigate trends in paper publications, conduct country and journal analyses, and examine author statistics. Subsequently, we calculate traversal counts along the search path links to reveal the development trajectory of BIM. The trajectory of BIM's evolution in the construction industry can be divided into four stages as identified through the global key-route main path analysis: 1) BIM standardization; 2) Integration of completed building projects using BIM; 3) BIM applications in precast construction projects; and 4) BIM applications in land management. These findings provide a clear understanding of how BIM has been applied and evolved within the construction industry. [ABSTRACT FROM AUTHOR]

Architectural education shares much in common with engineering, including the use of a culminating capstone experience in the final year. The form of this experience varies, with the research-based thesis and final-year project being most common. This paper explores the literature on traditions of enquiry and the meaning of research in various fields and the evolution of the 'thesis' and 'final year project' approaches over time. It then briefly summarises empirical research conducted on a case study institution struggling to bridge gaps in understandings of these distinct forms of learning and teaching. Throughout, the paper presents a comprehensive set of diagrams to explain various paradigms and positions on research and design education. These diagrams depict processes used in architecture, engineering, and natural sciences to conduct research and generate designs. A new model is proffered to help unify competing conceptions of the final year project and thesis, for the case study institution and beyond. [ABSTRACT FROM AUTHOR]

The integration of Digital Twin technology in small and medium‐sized enterprises (SMEs) has brought forth a transformative paradigm in engineering practices. This paper presents a comprehensive overview of the use of Digital Twin in SMEs and its implementation of advanced digital technologies in an engineering context. The paper highlights key benefits, such as the ability to simulate, analyze, and predict the behavior of products or processes before their physical instantiation. By leveraging advanced modeling and simulation techniques, SMEs can efficiently explore multiple design iterations, identify potential issues, and optimize engineering solutions without costly physical prototyping. Furthermore, the paper discusses integrating other advanced digital technologies, such as the Internet of Things (IoT) and Artificial Intelligence (AI), with Digital Twin to create intelligent and interconnected systems. The implementation of Digital Twin technology in SMEs extends beyond product design to encompass various aspects of the product lifecycle, fostering efficiency, accuracy, and innovation. However, challenges such as data integration, cybersecurity, and skill requirements are addressed. With proper planning and investment, SMEs can unlock the full potential of Digital Twin technology to gain a competitive edge in the dynamic engineering domain. In conclusion, this paper demonstrates that the use of Digital Twin in SMEs and its integration with advanced digital technologies revolutionizes engineering practices. By offering virtual representations of physical assets and processes, Digital Twin enables SMEs to make informed decisions, optimize performance, and drive innovation. As the technology evolves, it becomes an indispensable tool for SMEs seeking to thrive in the ever‐evolving engineering landscape. [ABSTRACT FROM AUTHOR]

My comments concern the significant errors in the crystallographic part of the commented paper. The diffraction patterns are erroneously analysed. The studied sample contain two phases what can influence on the final results of experiments. [ABSTRACT FROM AUTHOR]

Dynamic analysis of high-speed train–track–bridge (TTB) system presents engineering challenges, particularly under complex conditions like track irregularity and crosswinds. Achieving a balance between computational efficiency and accuracy using the traditional substructure method, i.e. modeling the train and track–bridge separately and possibly performing iterations between them, can be difficult. In this paper, a practical unified three-dimensional (3D) TTB model is presented by using two coordinate systems: a stationary system for the track–bridge, and a moving system for the high-speed train. A wheel–rail interaction (WRI) element model is further extended such that the wheel and rail nodes in WRI element belong to moving and stationary systems, respectively, so as to make the train and track–bridge models consistently combined into one unified model. The unified modeling method simplifies computations and improves efficiency and stability. The modeling method has been implemented into an open source finite element platform, i.e. OpenSees, and applied for dynamic response analysis of a train traveling at 50m/s over a seven-span simply supported bridge. Running safety assessments are performed using three criteria, i.e. the Nadal criterion, Prud’homme criterion and unloading criterion, considering track irregularities and crosswind loads. The analysis results provide practically useful references for engineering. [ABSTRACT FROM AUTHOR]

Test and evaluation (TE) planning is a critical part of systems engineering. However, it has not received as much attention from digital engineering efforts as early‐stage design and analysis. Digital engineering has the potential to reduce the risk and effort associated with TE, while leveraging existing digital capabilities to add value. One aspect in particular that may benefit from such attention is the Department of Defense's Test and Evaluation Master Plan (TEMP). The purpose of the TEMP is to identify the key processes with respect to the TE of a product, and to specify the roles and responsibilities of key personnel and organizations. Concerns have been raised regarding the document‐based nature of the TEMP and the increased risk and reduced reward that this entails. In this paper, we investigate the potential benefits of digitalizing the TEMP and outline an incremental approach for achieving this. We also present a set of ontologies, collectively known as the Digital TEMP (dTEMP), and investigate potential benefits and limitations by applying the dTEMP to an example test program. [ABSTRACT FROM AUTHOR]

In nearly 60 years of research on exoskeleton design, manufacturing, testing, and application, few researchers study what goes into the process of designing these devices that augment human performance. Exoskeleton evaluation and selection, however, remains under--researched and ultimately unclear given the large number of decision criteria with possible interdependencies. In this paper, an analytic network process (ANP) model was structured and used due to its ability to consider multi-levels of interdependencies between decision criteria while encapsulating the advantages of expert opinion. A panel of experts categorized 55 engineering design metrics into five categories. Discussion sessions were conducted to identify the metrics' interdependencies yielding an unweighted, weighted, and limit priority super-matrix from the ANP model. The results of the ANP model provide an analysis of how interdependencies affect the importance of design metrics in exoskeleton design. The results of the proposed model were compared to a previous study where a panel of 40 experts individually ranked the importance of engineering design metrics without considering interdependencies. The use of the ANP can provide a stronger, more holistic approach to the inherently multi-criteria decision-making involved in exoskeleton design. [ABSTRACT FROM AUTHOR]

Developers often encounter challenges with their introductory programming tasks as part of the development process. Unfortunately, rectifying these mistakes manually can be time-consuming and demanding. Automated program repair (APR) techniques offer a potential solution by synthesizing fixes for such errors. Previous research has investigated the utilization of both symbolic and neural techniques within the APR domain. However, these approaches typically demand significant engineering efforts or extensive datasets and training. In this paper, we explore the potential of using a large language model trained on code, specifically, we assess ChatGPT's capability to detect and repair bugs in simple Python programs. The experimental evaluation encompasses two benchmarks: QuixBugs and Textbook. Each benchmark consists of simple Python functions that implement well-known algorithms and each function contains a single bug. To gauge repair performance in various settings, several benchmark variations were introduced including addition of plain English documentation and code obfuscation. Based on thorough experiments, we found that ChatGPT was able to correctly detect and fix about 50% of the methods, when code is documented. Repair performance drops to 25% when code is obfuscated, and 15% when documentation is removed and code is obfuscated. Furthermore, when compared to existing APR systems, ChatGPT considerably outperformed them. [ABSTRACT FROM AUTHOR]

Value is crucial to lean product development (LPD) and set‐based design (SBD). Nevertheless, the literature needs to present more research on value definition and deployment to support exploring the design space. This scenario hinders the operationalization of lean initiatives in product development. This paper proposes a value deployment (VD) method for SBD, applying quality function deployment (QFD) matrices. We undertook a research action on the design of a TRL‐6 magnetic air conditioner. As a result, we aligned teams and development efforts toward value, building clarity and cohesion about the contribution of subsystems to product performance. Furthermore, VD enabled the integration of manufacturing in decision‐making. Our work paves the way for SBD in terms of practical relevance for industrial and systems engineering, assisting managers in adopting LPD and aligning integrated product teams toward value. [ABSTRACT FROM AUTHOR]

Classical viscoelastic models usually only consider the motion of chain segments and the motion of the entire molecular chain; therefore, they will cause inevitable errors when modeling self-healing vitrimer materials with many group movements. In this paper, a group-enriched viscoelastic model is proposed for self-healing vitrimers where the group effect cannot be neglected. We synthesize a specific damping vitrimer with many dangling chains, surpassing the limited loss modulus of conventional engineering materials. Due to the dangling chains, the damping capability can be improved and the group effect cannot be neglected in the synthesized damping vitrimer. The group-enriched viscoelastic model accurately captures the experimental damping behavior of the synthesized damping vitrimer. Our results indicate that the group-enriched viscoelastic model can improve the accuracy of classical viscoelastic models. It is shown that the group effect can be ignored at low frequencies since the chain segments have sufficient time for extensive realignment; however, the group effect can become significant in the case of high frequency or low temperature. [ABSTRACT FROM AUTHOR]

Time-varying polytope distance (TVPD) problems are prevalent in scientific and engineering applications and can be transformed into time-varying quadratic programming (TVQP) problems with both equality and inequality constraints. Concurrently, the noise interferences during the solution process are non-negligible and challenging to eliminate. Although zeroing neural networks (ZNNs) perform well in solving various types of time-varying problems, they still fall short in the suppression of unbounded noises, such as linear noise. To address this limitation, this paper proposes an improving integration-enhanced ZNN (IIEZNN) model for accurately solving TVPD problems under noise environments. Compared with the existing ZNN models, the IIEZNN model has stronger inherent robustness. The stability and robustness of the IIEZNN model are guaranteed by rigorous theoretical analysis. Firstly, the effectiveness of the IIEZNN model is verified via two TVQP examples. Then, the IIEZNN model is generalized to TVPD problem solving and has excellent performance. Specifically, in solving the TVPD under linear noises, the residual error of the IIEZNN model converges to the order of 10 - 5 , which is much lower than that of the existing noise-tolerant ZNN model with an order of 10 - 1 . [ABSTRACT FROM AUTHOR]