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Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.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

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]

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.

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]

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]

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 capitalisation on and transfer of technological, engineering and scientific knowledge associated with empirical know-how is an important issue for the sustainability and development of manufacturing. Indeed, certain sectors of industry are facing the increasing ageing of the labour force, recruitment difficulties and high staff turnover, leading to a loss of knowledge and know-how. In a context of numerical and digital transition and the migration of processes to industry 4.0, one of major challenges manufacturers face today is their capacity to build intelligent platforms for acquiring, storing and transferring their know-how and knowledge. It is crucial to create new media and tools for staff training and development capable of capturing knowledge and reusing it to create a project history through expertise and data collection. This paper presents the methodology and guidelines for implementing electronic knowledge books (eK-Books), along with their uses. The eK-Book is a semantic web-based hypertext medium (channel) allowing stakeholders to capitalise on, structure and transfer knowledge by using concept maps, process maps, influence graphs, downloadable documents, web pages and hypermedia knowledge sheets. They are intended for engineers, expert or novice technicians, manufacturers, sector coordinators and plant managers, as well as trainers and learners. They are usable and manageable in all types of environments and with different levels of accessibility. This paper highlights (1) the transfer knowledge capacity of eK-Books and (2) their usability in two agri-food sectors namely (1) the cheese sector with protected designation of origin (PDO) and protected geographical indication (PGI), and (2) the butchery and cold meat sectors. [ABSTRACT FROM AUTHOR]

Conceptual engineering is the enterprise of evaluating and improving our representational devices. But how should we conduct this enterprise? One increasingly popular answer to this question proposes that conceptual engineering should proceed in terms of the functions of our representational devices. In this paper, we argue that the best way of understanding this suggestion is in terms of normative functions, where normative functions of concepts are, roughly, things that they allow us to do that matter normatively (for example, things in virtue of which we have normative reasons to have these concepts). Not only does this introduce a novel view about functions to the literature. This proposal also fits more naturally than the alternatives with conceptual engineering as a normative enterprise, and it allows functions to play all of the explanatory roles assigned to them in the conceptual engineering literature. Our discussion of the explanatory advantages of normative functions also advances the understanding of the ways in which concepts can be authoritative, what this means for conceptual engineering, and highlights the importance of political philosophy for thinking about conceptual engineering in practice. Furthermore, the paper explicates what kind of role considerations about function can and should actually play in conceptual engineering. [ABSTRACT FROM AUTHOR]

This document is a summary of a special issue of the journal "Materials" focused on the topic of surface engineering for wear, corrosion, and erosion prevention in metallic and ceramic materials. The special issue includes twelve scientific papers covering various aspects of the operational performance and properties of metallic and ceramic materials. The papers discuss topics such as the effects of peening treatments, corrosion resistance, tribological behavior, and wear improvement through microstructural modification and the deposition of wear-resistant coatings. The special issue received significant interest from authors and readers, leading to the announcement of a second volume on the same topic. The summary acknowledges the need for experimental data in surface engineering to understand the wear and performance of engineering materials. [Extracted from the article]

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]

Measurement was vital to nineteenth-century engineering. Focusing on the work of the Stevenson engineering firm in Scotland, this paper explores the processes by which engineers made their measurements credible and explains how measurement, as both a product and a practice, informed engineering decisions and supported claims to engineering authority. By examining attempts made to quantify, measure and map dynamic river spaces, the paper analyses the relationship between engineering experience and judgement and the generation of data that engineers considered to be 'tolerably correct'. While measurement created an abstract and simplified version of the river that accommodated prediction, this abstraction had to be connected to and made meaningful in real river space despite acknowledged limitations to measuring practice. In response, engineers drew on experience gained through the measuring process to support claims to authoritative knowledge. This combination of quantification and experience was then used to support interventions in debates over the proper use and management of rivers. This paper argues that measurement in nineteenth-century engineering served a dual function, producing both data and expertise, which were both significant in underpinning engineering authority and facilitating engineers' intervention in decision making for river management. [ABSTRACT FROM AUTHOR]

This paper introduces the development process of building cable structures in China over the past 70 years according to three stages: the initial, slow, and rapid development. It also summarizes the types of cable components and joints of building cable structures. The structural characteristics and representative projects of suspension, cable membrane, beam string (cable-supported), and cable dome structures are reviewed in this paper. Finally, the achievements and prospects of cable structures in China are discussed. [ABSTRACT FROM AUTHOR]

Technological advancements have made rock engineering more data-driven, leading to increased use of machine learning (ML). While the use of ML in rock engineering has the potential to transform the industry, several methodological issues should first be addressed: (i) rock engineering's use of biased (poor quality) data, resulting in biased ML models and (ii) limited rock mass classification and characterization data. If these issues are not addressed, rock engineering risks using unreliable ML models that can have potential real-life adverse impacts. This paper aims to provide an overview of these methodological issues and demonstrate their impact on the reliability of ML models using surrogate models. To take full advantage of the benefits of ML, rock engineers should make sure that their ML models are reliable by ensuring that there are sufficient unbiased data to develop reliable ML models. In the context of this paper, the term sufficient retains a relative meaning since the amount of data that is sufficient to develop reliable a ML models depends on the problem under consideration and the application of the ML model (e.g., pre-feasibility, feasibility, design stage). [ABSTRACT FROM AUTHOR]

The Fourth Industrial Revolution, which is a socio-technical, ideological, and rhetorical construction rooted in the neoliberal discourse that reflects key tenets of global capitalism, is believed to have considerable implications for the development of employees in advanced manufacturing environments. This paper aims to explore the ways in which the learning needs of employees in the context of the Fourth Industrial Revolution could be appropriately identified and how employees could further develop their skills through the design of suitable development curricula. To this end , the paper seeks to interrogate the ways in which the employees' learning needs are likely to be identified in the middle-range future, and problemate the focus of highly specialised and exclusively focused on Science, Technology, Engineering, and Mathematics (STEM) curricula that are likely to be designed to help employees respond to the perceived demands of the Fourth Industrial Revolution. The paper further seeks to explore a preferred liberal future, drawing on the work of Martha Nussbaum, to create the possibility for an alternative future guided by a more holistic conception of employee development through the establishment of learner-centred, liberal – and liberating – interdisciplinary Science, Technology, Engineering, Arts, and Mathematics (STEAM) curricula. [ABSTRACT FROM AUTHOR]

Background Study: The research discusses the need for a paradigm shift in engineering education current practices to accommodate the digital native students. The paper emphasizes the importance of integrating disruptive technologies, namely Virtual Reality (VR) through Head Mounted Displays VR (HMD VR) and Desktop Based VR (DB VR) and comparing it with the traditional teaching methods. The research focuses on second‐year undergraduate students enrolled in a concrete structures course. Objectives: The objective of the study is to analyse the impact of DB VR and HMD VR on students' motivation, performance and workload in comparison with traditional 2D drawings. The study also aims to investigate how simulation sickness and system usability could impact students' motivation and performance when interpreting concrete structures. Methods: The study divided second‐year civil engineering students into three groups, 2D, DB VR and HMD VR. The performance and motivation levels of students were assessed based on the number of mistakes identified and an intrinsic motivation survey. Furthermore, data on system usability and simulation sickness were collected. Spearman rank correlation was conducted to analyse the relationships between the variables tested. Results: The results have shown that students' motivation and performance were much higher when using VR in general and HMD VR specifically, students' efficiency and accuracy were also observed. On the other hand, usability was found to be moderately correlated with motivation, with students rating HMD VR as the most usable approach. A moderate inverse correlation was observed between simulation sickness and motivation, indicating that higher simulation sickness led to lower motivation levels. Conclusion: The study concludes that integrating VR in general, DB VR, or HMD VR into a concrete structures course for undergraduate students can significantly improve students' performance and motivation. Furthermore, enhancing usability of any of the methods used can also improve the performance and motivation. On the other hand, simulation sickness inversely affects motivation and performance, therefore, VR developers and educators should not neglect it. Lay Description: What is already known about the topic: Traditional teaching methods in engineering education require improvement.Integrating digital technologies into engineering education enhances performance.Digital technologies can potentially enhance motivation. What this paper adds: Compares traditional teaching methods for concrete structures interpretation with virtual reality.Establishes correlations between motivation, performance and usabilityIntroduces how desktop‐based VR and head‐mounted display VR can produce varying results. Implications for practice and/or policy: Decision‐makers can use the information to integrate updated pedagogy into engineering curricula.Allows for further exploration of different digital technologies that can be used for concrete structure interpretation.Allows instructors to introduce virtual reality in their courses. [ABSTRACT FROM AUTHOR]

Probability and random processes is considered by students to be conceptually one of the most difficult subjects in the undergraduate electrical and computer engineering curriculum. There are numerous reasons for this difficulty encountered by the students. First off, humans are not innately good at probabilistic intuition. Traditionally, this subject has been introduced in a very abstract manner without emphasis on real-world applications from electrical and computer engineering discipline. In addition, extensive use of interactive simulation and visualization tools, offering an alternative way of developing probabilistic intuition, is usually missing from traditional course offerings. This paper presents a unique pedagogical approach to teaching an introductory probability course offered to electrical and computer engineering juniors. The salient features of the proposed pedagogical approach include more emphasis on real-world electrical and computer engineering problems that show the applications of abstract probabilistic concepts; extensive hands-on and interactive MATLAB® simulations of real-world electrical and computer engineering problems that are tightly integrated into the curriculum; highlighting the frequentist approach to build probabilistic intuition using simulations; concrete examples showing how naive probabilistic intuition can be erroneous and how to develop correct probabilistic intuition based on systematically modeling, simulating, and analyzing a problem; and application-based simulations driving the abstract theory rather than the other way around. This pedagogical approach was implemented in a course offered to electrical and computer engineering undergraduates at Purdue University Northwest. The paper presents a concrete example illustrating how the salient features of the proposed pedagogical approach were implemented as part of this course and student data from the courses to validate the efficacy of the proposed approach. [ABSTRACT FROM AUTHOR]

Descriptive geometry has indispensable applications in many engineering activities. A summary of these is provided in the first chapter of this paper, preceded by a brief introduction into the methods of representation and mathematical recognition related to our research area, such as projection perpendicular to a single plane, projection images created by perpendicular projection onto two mutually perpendicular image planes, but placed on one plane, including the research of curves and movements, visual representation and perception relying on a mathematical approach, and studies on toothed driving pairs and tool geometry in order to place the development presented here among them. As a result of the continuous variability of the technological environment according to various optimization aspects, the engineering activities must also be continuously adapted to the changes, for which an appropriate approach and formulation are required from the practitioners of descriptive geometry, and can even lead to improvement in the field of descriptive geometry. The imaging procedures are always based on the methods and theorems of descriptive geometry. Our aim was to examine the spatial variation in the wear of the tool edge and the machining of the components of toothed drive pairs using two cameras. Resolving contradictions in spatial geometry reconstruction research is a constant challenge, to which a possible answer in many cases is the searching for the right projection direction, and positioning cameras appropriately. A special method of enumerating the possible infinite viewpoints for the reconstruction of tool surface edge curves is presented in the second part of this paper. In the case of the monitoring the shape geometry, taking into account the interchangeability of the projection directions, i.e., the property of symmetry, all images made from two perpendicular directions were taken into account. The procedure for determining the correct directions in a mathematically exact way is also presented through examples. A new criterion was formulated for the tested tooth edge of the hob to take into account the shading of the tooth next to it. The analysis and some of the results of the Monge mapping, suitable for the solution of a mechanical engineering task to be solved in a specific technical environment, namely defining the conditions for camera placements that ensure reconstructibility are also presented. Taking physical shadowing into account, conclusions can be drawn about the degree of distortion of the machined surface from the spatial deformation of the edge curve of the tool reconstructed with correctly positioned cameras. [ABSTRACT FROM AUTHOR]

The first issue of Ozone: Science & Engineering (OS&E)was published in early 1979 with Dr L. J. Bollyky as theEditor-in-Chief. This was a milestone for the International Ozone Association, enabling professional recognition of the advances in ozone technology. Since this first issue, 45 volumes of Ozone: Science & Engineering have been published containing 238 individual issues, 1719 technical articles and nearly 22,000 pages. Dr Rip Rice became Editor-in-Chief in 1985 and continued this position until 1998. Barry Loeb was the editor until 2024. Under the leadership of these gentlemen, OS&E expanded from about 70 pages per issue four times per year to 100 pages, then to six issues per year, at about 100 pages. In 2001, the dimensions of the journal were increased to accommodate even more manuscripts. In 1989, the Harvey M. Rosen Memorial Award was established to recognize the "best paper" published in Ozone: Science & Engineering during the two-year period between World Congresses. The selection of this award is determined by the Editorial Board of Ozone: Science & Engineering. To date, 19 papers have received this prestigious award. OS&E has followed and reported the development of ozone technologies via peer reviewed articles from ozone researchers, manufacturers and consultants. This paper reviews the development of ozone technologies as reported by OS&E and summarizes how the technologies have evolved to meet environmental and other needs. [ABSTRACT FROM AUTHOR]

This paper explores the transformative potential of Large Language Models Artificial Intelligence (LLM AI) in educational contexts, particularly focusing on the innovative practice of prompt engineering. Prompt engineering, characterized by three essential components of content knowledge, critical thinking, and iterative design, emerges as a key mechanism to access the transformative capabilities of LLM AI in the learning process. This paper charts the evolving trajectory of LLM AI as a tool poised to reshape educational practices and assumptions. In particular, this paper breaks down the potential of prompt engineering practices to enhance learning by fostering personalized, engaging, and equitable educational experiences. The paper underscores how the natural language capabilities of LLM AI tools can help students and educators transition from passive recipients to active co-creators of their learning experiences. Critical thinking skills, particularly information literacy, media literacy, and digital citizenship, are identified as crucial for using LLM AI tools effectively and responsibly. Looking forward, the paper advocates for continued research to validate the benefits of prompt engineering practices across diverse learning contexts while simultaneously promoting potential defects, biases, and ethical concerns related to LLM AI use in education. It calls upon practitioners to explore and train educational stakeholders in best practices around prompt engineering for LLM AI, fostering progress towards a more engaging and equitable educational future. [ABSTRACT FROM AUTHOR]

Stereolithography 3D printing and digital masks in sequence are used herein to manufacture 3D µPAD in a monolithic layer of paper within 1 s. Multiple experiments were systematically conducted to further understand the fundamentals and limitation of this manufacturing process, and a novel 3D mixer and a fluorescent chemosensor assay used to determine dopamine concentration at high-alkaline pH conditions were successfully demonstrated. Experiment results showed: (1) the 3D mixer is superior than conventional 2D mixer regarding mixing performance and repeatability, (2) dopamine detection and pH indicator can be realized with fewer operation steps and shorter processing time, (3) a truly 3D µPAD, including multilayer microchannels within a monolithic paper substrate, can be created with fewer reagent loss and higher transportation efficiency, (4) a smallest microchannel, 100 µm wide microchannel, can be successfully created on µPAD. These results clearly proved that this proposed 3D µPAD is not only a novel format of µPAD, but it can also simplify the operation steps for an analytical assay while improving the mixing phenomenon via 3D mixer and using minimum sample volume. [Display omitted] • Using SLA 3D printing and multiple digital masks to manufacture monolithic 3D µPAD. • 3D mixer is superior than 2D mixer regarding mixing performance and repeatability. • A truly 3D µPAD can result fewer reagent loss and higher transportation efficiency. • Dopamine detection and pH indicator can be realized with fewer operation steps. • A smallest microchannel, 100 µm wide microchannel, was successfully created. [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]

The vehicular ad-hoc network is a technology that enables vehicles to interact with each other and the surrounding infrastructure, aiming to enhance road safety and driver comfort. However, it is susceptible to various security attacks. Among these attacks, the position falsification attack is regarded as one of the most serious, in which the malicious nodes tamper with their transmitted location. Thus, developing effective misbehavior detection schemes capable of detecting such attacks is crucial. Many of these schemes employ machine learning techniques to detect misbehavior based on the features of the exchanged messages. However, the studies that identify the impact of feature engineering on schemes' performance and highlight the most efficient features and algorithms are limited. This paper conducts a comprehensive literature survey to identify the key features and algorithms used in the literature that lead to the best-performing models. Then, a comparative study using the VeReMi dataset, which is publicly available, is performed to assess six models implemented using three different machine learning algorithms and two feature sets: one comprising selected and derived features and the other including all message features. The findings show that two of the suggested models that employ feature engineering perform almost equally to existing studies in identifying two types of position falsification attacks while exhibiting performance improvements in detecting other types. Furthermore, the results of evaluating the proposed models using another simulation exhibit a substantial improvement achieved by employing feature engineering techniques, where the average accuracy of the models is increased by 6.31–47%, depending on the algorithm used. [ABSTRACT FROM AUTHOR]

The literature on laboratory objectives in engineering education research is scattered and inconsistent. Systematic literature reviews identified the need for better understanding. This paper ranks the laboratory learning objectives across the cognitive, psychomotor and affective domains to improve scaffolding. It provides an opportunity for reflection, a pathway to confirm assessment alignment, and opens future research areas. To accomplish this, the Laboratory Learning Objectives Measurement (LLOM) instrument is used to survey 160 academics from around the world representing 18 engineering disciplines. The results suggest that the collective ranking order does represent a framework that can be used broadly. However, for greater alignment with consensus thinking, discipline rankings should be used. The cognitive domain was deemed the most important. These results provide the community's opinion and may not necessarily be best practice, providing an opportunity for reflection. [ABSTRACT FROM AUTHOR]

The ability of Engineering graduates to function as successful professionals depends not only on technical disciplinary knowledge but also on a wide range of professional competencies. Students’ often react differently to educators attempts to develop professional competencies compared to technical competencies. Understanding the nature of these reactions is important if we are to design the most effective educational approaches to the development of professional competencies. In this paper we report on an exploratory factor analysis that used data from a detailed survey of students (N = 339) to identify underlying factors that provide insights to understand the variations in student reactions. A set of five factors were identified from this analysis: capability; learning experience; learning outcomes; employment experience; environment. Two of these factors (learning experience and environment) also exhibited significant differences in the impact between professional and technical competencies. A number of implications for educational design were explored. [ABSTRACT FROM AUTHOR]

The X-structure has been used for vibration isolation due to its nonlinear characteristic. Here, the use of an inerter-based X-structure vibration isolator is proposed to improve the dynamic performance of the traditional X-structure vibration isolator by exploiting the mass amplification characteristic of the inerter while satisfying the lightweight design requirement. Based on the arrangement of the inerter and X-structure, transverse-mounted, series-connected and parallel-connected inerter-based X-structure vibration isolators are designed. The relevant dynamic equations for these isolators are established using the Lagrange principle, their dynamic responses are obtained using the harmonic balance method and pseudoarc-length method, and their isolation performances are evaluated by three performance indices and compared with those of the X-structure and traditional linear vibration isolators. The results show that the transverse-mounted inerter-based X-structure vibration isolator has nonlinear inertial, nonlinear conservative forcing and nonlinear stiffness characteristics and that the series-connected and parallel-connected inerter-based X-structure vibration isolators have linear inertial and nonlinear stiffness characteristics. The transverse-mounted and parallel-connected inerter-based X-structure vibration isolators have a smaller relative dynamic displacement peak, absolute dynamic displacement peak, absolute displacement transmissibility peak and resonance frequency and wider isolation frequency band than the X-structure isolator, and only the high-frequency absolute displacement transmissibility is larger for the transverse-mounted and parallel-connected inerter-based X-structure vibration isolators. A series-connected inerter-based X-structure vibration isolator can isolate a relatively low-frequency vibration because of the antiresonance frequency and thus can improve the high-frequency absolute displacement transmissibility, while the relative dynamic displacement peak, absolute dynamic displacement peak and absolute displacement transmissibility peak are larger for the series-connected inerter-based X-structure vibration isolator than for the X-structure isolator. The parallel-connected inerter-based X-structure vibration isolator exhibits the best isolation performance and the transverse-mounted inerter-based X-structure vibration isolator exhibits the best shock performance among the four X-structure and linear vibration isolators studied. In addition, the experimental prototype of the inerter-based X-structure vibration isolator is built to test its performance, the theoretical and experimental results are compared to verify the validity of the theoretical modelling. This paper verifies the benefit of introducing the inerter in the X-structure and offers a better choice for effective vibration isolation in practical engineering. [ABSTRACT FROM AUTHOR]

Microbial electrosynthesis (MES) is a promising technology that mainly utilizes microbial cells to convert CO2 into value-added chemicals using electrons provided by the cathode. However, the low electron transfer rate is a solid bottleneck hindering the further application of MES. Thus, as an effective strategy, genetic tools play a key role in MES for enhancing the electron transfer rate and diversity of production. We describe a set of genetic strategies based on fundamental characteristics and current successes and discuss their functional mechanisms in driving microbial electrocatalytic reactions to fully comprehend the roles and uses of genetic tools in MES. This paper also analyzes the process of nanomaterial application in extracellular electron transfer (EET). It provides a technique that combines nanomaterials and genetic tools to increase MES efficiency, because nanoparticles have a role in the production of functional genes in EET although genetic tools can subvert MES, it still has issues with difficult transformation and low expression levels. Genetic tools remain one of the most promising future strategies for advancing the MES process despite these challenges. [ABSTRACT FROM AUTHOR]

The traditional approach to formulating building codes often is slow and labor-intensive, and may struggle to keep pace with the rapid evolution of technology and domain findings. Overcoming such challenges necessitates a methodology that streamlines the modernization of codal provisions. This paper proposes a machine learning (ML) approach to append a variety of codal provisions, including those of empirical, statistical, and theoretical natures. In this approach, a codal provision (i.e., equation) is analyzed to trace its properties (e.g., engineering intuition and causal logic). Then a ML model is tailored to preserve the same properties and satisfy a collection of similarity and performance measures until declared equivalent to the provision at hand. The resulting ML model harnesses the predictive capabilities of ML while arriving at predictions similar to the codal provision used to train the ML model, and hence it becomes possible to use in lieu of the codal expression. This approach was examined successfully for seven structural engineering phenomena contained within various building codes, including those in North America and Australia. The findings suggest that the proposed approach could lay the groundwork for implementing ML in the development of future building codes. [ABSTRACT FROM AUTHOR]

This study demonstrates the effect of nitrogen doping on the surface state densities (Nss) of monolayer MoS2 and its effect on the responsivity and the response time of the photodetector. Our experimental results shows that by doping monolayer MoS2 by nitrogen, the surface state (Nss) increases thereby increasing responsivity. The mathematical model included in the paper supports the relation of photocurrent gain and its dependency on trap level which states that the increasing the trap density increases the photocurrent gain and the same is observed experimentally. The experimental results at room temperature revealed that nitrogen doped MoS2 have a high NSS of 1.63 X 1013 states/m2/eV compared to undoped MoS2 of 4.2 x 1012 states/m2/eV. The increase in Nss in turn is the cause for rise in trap states which eventually increases the value of photo responsivity from 65.12 A/W (undoped MoS2) to 606.3 A/W (nitrogen doped MoS2). The response time calculated for undoped MoS2 was 0.85 sec and for doped MoS2 was 0.35 sec. Finally, to verify the dependence of surface states on the responsivity, the surface states were varied by varying temperature and it was observed that upon increment in temperature, the surface states decreases which causes the responsivity values also to decrease. [ABSTRACT FROM AUTHOR]

The paper is concerned with the possibilities of long-term monitoring of constructions using modern wireless sensors and systems. There are currently many constructions under long-term monitoring performed by modern sensors. The monitoring enables an assessment of the current health of the construction or it can be used to recalculate and adjust the BMI models and subsequently evaluate the static and dynamic resistance of the construction. The sensors and systems installed enable the detection of hidden defects or newly emerging failures and damage. Using the results obtained from the monitoring of the construction, it is possible to predict and carry out a timely repair or maintenance of the construction, which will ultimately decrease the financial and time-related costs, ensure greater safety and prolong its lifetime and resistance. [ABSTRACT FROM AUTHOR]

A large number of post-tensioned concrete bridges were built in the second half of the last century. They have often been insufficiently maintained during their lifetime (usually around 50 years). Nowadays, these structures exhibit significant deterioration, mainly due to leakages and also due to various other deficiencies such as a small concrete cover. Their load-bearing capacity needs to be verified. This paper focuses on estimating the load-bearing capacity calculation of existing post-tensioned concrete bridges. In the engineering practice, this is carried out using the partial factor method according to the currently valid standards (Czech standards ČSN and the Eurocodes), which often impose more stringent requirements than the original standards. The partial factor method then often leads to low load-bearing capacities. This study deals with the bridge for which a very low load-bearing capacity has been determined. For this reason, a comparative probabilistic analysis was performed, allowing for a better description of the uncertainties in the resistance and load effect variables. The probabilistic approach appears to be less conservative and yields a higher load-bearing capacity. [ABSTRACT FROM AUTHOR]

Laboratory experiments offer one way to introduce more realism in education and play a key role for the acquisition of practical skills, especially in engineering. This paper addresses the development of an equipment to teach fundamentals of industrial process control engineering mainly for undergraduate courses at the University of Extremadura. The laboratory consists of the DELTALAB–COSIMI wastewater treatment plant SP244, which is controlled by a CompactRIO-9014 high-performance real-time embedded controller, a kind of programmable logic controller of National Instruments. Learning objectives and a summary of students activities carried out in the laboratory lessons are given to illustrate the possibilities of use of this equipment for teaching of industrial process control. [ABSTRACT FROM AUTHOR]

This paper aims to design a guide for engineering problem solving with a mathematical approach, based on the use of creative, heuristic and reasoning strategies. The research is divided in two phases: the literature review and the conception of a guide for engineering problems with an open or closed solution. This guide combines the engineering method with algorithmic and heuristic-creative components in three steps: a) understanding, approaching and characterising the problem; b) planning, tackling and deciding on the best alternative; and c) solving, reviewing and evaluating the problem. The authors conclude that this guide will allow future engineers to reach a solution to a problem considering the implications in the financial, technical, environmental and other domains. [ABSTRACT FROM AUTHOR]

This paper aims to unify q-derivative/q-integrals and h-derivative/h-integrals into a single definition, called q − h -derivative/ q − h -integral. These notions are further extended on the finite interval [ a , b ] in the form of left and right q − h -derivatives and q − h -integrals. Some inequalities for q − h -integrals are studied and directly connected with well known results in diverse fields of science and engineering. The theory based on q-derivatives/q-integrals and h-derivatives/h-integrals can be unified using the q − h -derivative/ q − h -integral concept. [ABSTRACT FROM AUTHOR]

Complex systems are difficult to manage, operate and maintain. This is why we see teams of highly specialised engineers in industries such as aerospace, nuclear and subsurface. Condition based monitoring is also employed to maximise the efficiency of extensive maintenance programmes instead of using periodic maintenance. A level of automation is often required in such complex engineering platforms in order to effectively and safely manage them. Advances in Artificial Intelligence related technologies have offered greater levels of automation but this potentially pivots the weight of decision making away from the operator to the machine. Implementing AI or complex algorithms into a platform can mean that the Operators' control over the system is diminished or removed altogether. For example, in the Boeing 737 Air Max Disaster, AI had been added to a platform and removed the operators' control of the system. This meant that the operator could not then move outside the extremely reserved, algorithm defined, "envelope" of operation. This paper analyses the challenges of AI driven condition based monitoring where there is a potential to see similar consequences to those seen in control engineering. As the future of society becomes more about algorithm driven technology, it is prudent to ask, not only whether we should implement AI into complex systems, but how this can be achieved ethically and safely in order to reduce risk to life. [ABSTRACT FROM AUTHOR]

Solving a multiple-criteria optimization problem with severe constraints remains a significant issue in multi-objective evolutionary algorithms. The problem primarily stems from the need for a suitable constraint handling technique. One potential approach is balancing the search in feasible and infeasible regions to find the Pareto front efficiently. The justification for such a strategy is that the infeasible region also provides valuable information, especially in problems with a small percentage of feasibility areas. To that end, this paper investigates the potential of the infeasibility-driven principle based on multiple constraint ranking-based techniques to solve a multi-objective problem with a small feasibility ratio. By analyzing the results from intensive experiments on a set of test problems, including the realistic multi-objective car structure design and actuator design problem, it is shown that there is a significant improvement gained in terms of convergence by utilizing the generalized version of the multiple constraint ranking techniques. [ABSTRACT FROM AUTHOR]

The School of Engineering and Technology of Central Queensland University focuses on the continuous development and innovation of best learning and teaching practices to increase student retention and improve their learning experiences. Face to face and distance learning (teaching delivery models) are fundamental aspects of providing quality support to the students' learning. One incredibly important aspect of students' learning is to provide relevant industry-related projects and applications of relevant simulation software to mimic the systems. This paper develops students' essential problem-solving skills and control strategies of fluid power systems in mechanical engineering through the Master of Engineering programs by employing Simulink, SimScape Fluid applications in Matlab software and Energy Plus with Design Builder. The main focus is to ensure that the students achieve the required skills of building fluid circuit models based on physical connections that directly integrate with appropriate symbols and modelling paradigms in fluid power applications to model the appropriate physical models to mimic the industrial fluid power projects selected. The basic ideas and content are to be delivered through weekly lectures and tutorial sessions, and the students' skills in fluid power systems and software are developed and monitored through weekly workshops scheduled for all projects. The key outcomes of this study are the level of understanding of fluid power systems, development of simulation skills using the software indicated, interpretation of the results the students have obtained and validations of those results. The students must show they have developed appropriate problem-solving skills using simulation software, professional presentation and effective team-building skills. As the students develop appropriate problem-solving and engineering practice skills, their satisfaction and feedback rates improve significantly. [ABSTRACT FROM AUTHOR]

With constantly changing political landscapes affecting the ability of college students with minoritized identities of sexuality and/or gender (MIoSG; Vaccaro et al., 2015) to thrive on campus, higher educators need to understand student reported stressors to design more inclusive learning environments. Building from minority stress theory and using data from a grounded theory study with 56 collegiate STEM students with MIoSG, this paper documents stressors that students reported as contributing to diminished wellbeing. We used constant comparative grounded theory analysis to identify stressors shared by all participants, which included lack of belonging and invisibility in competitive STEM cultures as well as exclusionary interactions with STEM peers. Recommendations include the design and delivery of holistic education and support services on campus. [ABSTRACT FROM AUTHOR]

Pragmatists are interested primarily not in representing a purportedly unchanging Reality but in articulating prophetic future possibilities on the basis of the values most venerated by a culture/society in the present. This makes pragmatism sound a little like 'Conceptual Engineering'. Conceptual engineers too are interested in transforming our ways of talking, which implies some notion of how such improvements are to be evaluated. Nevertheless, this paper argues that accounts of conceptual engineering that regard it as key to the project of elucidating an externalist semantics find it difficult to accommodate on their own terms the problem-phenomena taken to be of shared interest: regions of discourse where the demand for change are at their most pressing culturally. This difficulty takes the form of what I call the Conceptual Engineering Dilemma (CED), an inability to accommodate simultaneously the ethical and ameliorative dimensions of contestation. I argue that acknowledging the formalist commitments that undergird CED should make pragmatism more appealing to the practically-orientated analytic philosopher and conclude with a brief survey of some of the tools that it makes available for the pressing work of changing minds for the better. [ABSTRACT FROM AUTHOR]

The later Carnap is usually cited as the first conceptual engineer – someone who argues that we can and should revise our concepts in order to make them fit for their purpose. This paper shows that there is an earlier, pragmatist, account of conceptual engineering and that today's conceptual engineers would do well to turn to it, rather than to Carnap. [ABSTRACT FROM AUTHOR]

Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K‐12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to sustainable learning outcomes. Objectives: The current study examines how a series of Arduino‐based robotics learning activities capture the fuller essence of concepts related to CT. Methods: College students (n = 50) completed a series of six robotics learning activities. Think‐alouds, student reflections and performance scores were used to assess students' CT through a robotics challenge in virtual and physical learning environments. Results and Conclusions: Students verbalized CT concepts related to algorithmic thinking much more than abstraction, problem decomposition and testing and debugging. Students exposed to active learning performed better in a virtual robotics challenge compared to their peers in a traditional‐oriented classroom. Students' scores on the physical robotics challenge increased as a function of the number of references they made to CT concepts during the think‐alouds. It is possible to design pedagogical experiences that tap into various dimensions of CT at incremental levels of complexity through a series of Arduino‐based robotics activities. With the integration of an online simulation, students can visualize and transfer their CT skills between a virtual and physical learning environment, thus leading to more sustainable learning outcomes. Lay Description: What is already known about this topic: Computational thinking (CT) is the conceptual foundation for problem‐solving.CT shifted from unplugged to plugged activities.CT concepts can be fostered through educational robotics. What this paper adds: A multi‐dimensional approach to assessing CT.Applications of CT provide insights into skill transfer.An integrative theoretical approach to study the 'how' and the 'what' of CT. Implications for practice: Educational robotics activities can cater to a fuller range of CT skills.Virtual simulations with constructive feedback are beneficial for students in traditional settings.Mixed learning environments contribute to making links between lectures and labs. [ABSTRACT FROM AUTHOR]

This paper presents and evaluates a role-play simulation called 'Theatrical Technology Assessment', in which students learn about complex stakeholder dynamics around emerging technologies. This role-play combines insights from Constructive Technology Assessment, improvisational theatre and educational role-play designs. It was implemented in an online setting with bachelor students of an interdisciplinary engineering programme. Based on collected chat conversations and reflection reports in seven different simulations, we qualitatively analysed what students learned about stakeholder dynamics. The study shows that students gained novel and relevant insights regarding stakeholder perspectives on technologies, the effects of uncertainties on decision making, collective stakeholder dynamics, and strategies to steer technology development. Students considered the role-play simulations to be engaging learning experiences. The dual set-up of the role-play, with students as players and co-designers, and the integral use of improvisational theatre are novel elements of educational role-play designs. [ABSTRACT FROM AUTHOR]

Carbon nanotube cement-based grouting materials currently mostly stay in the pure slurry research stage, and there is little research in the field of rock crack reinforcement combined with the engineering application background. Therefore, on the basis of existing research, it is important to expand the dispersion of carbon nanotubes in cement paste, and to carry out research on the reinforcement of fractured rocks in combination with the engineering background. This paper combines the actual needs of construction engineering to prepare carbon-based nanomaterials, and analyzes its impact on construction engineering in combination with experiments. Moreover, this paper analyzes the influence of carbon nanotubes on the macro-mechanical properties of cement-based materials, and studies the influence of modified carbon nanotubes on the macro-mechanical properties of cement-based materials. In addition, this paper explores the micromechanical properties of carbon nanotube cement materials at the nanometer scale. The research results verify the effectiveness of carbon-based nanomaterials. [ABSTRACT FROM AUTHOR]

The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research. [ABSTRACT FROM AUTHOR]