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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]

Abstract: The need for applications that are developed especially for Computational Science and Engineering (CSE) has been growing rapidly in the recent years. These applications are often a prerequisite for research and have to be evolved and maintained for considerable periods of time. However, CSE researchers have traditionally put focus on achieving better computational performance and results rather than the software’s comprehensibility, maintainability and extensibility. This paper first presents two case studies on two different CSE research projects, where common and specific problems are identified. Second we propose solutions that intend to apply software engineering methodologies and tools to improve the CSE research software development. [ABSTRACT FROM AUTHOR]

Applications of electrochemical detection methods in microfluidic paper-based analytical devices (μPADs) has revolutionized the area of point-of-care (POC) testing towards highly sensitive and selective quantification of various (bio)chemical analytes in a miniaturized, low-coat, rapid, and user-friendly manner. Shortly after the initiation, these relatively new modulations of μPADs, named as electrochemical paper-based analytical devices (ePADs), gained widespread popularity within the POC research community thanks to the inherent advantages of both electrochemical sensing and usage of paper as a suitable substrate for POC testing platforms. Even though general aspects of ePADs such as applications and fabrication techniques, have already been reviewed multiple times in the literature, herein, we intend to provide a critical engineering insight into the area of ePADs by focusing particularly on the practical strategies utilized to enhance their analytical performance (i.e. sensitivity), while maintaining the desired simplicity and efficiency intact. Basically, the discussed strategies are driven by considering the parameters potentially affecting the generated electrochemical signal in the ePADs. Some of these parameters include the type of filter paper, electrode fabrication methods, electrode materials, fluid flow patterns, etc. Besides, the limitations and challenges associated with the development of ePADs are discussed, and further insights and directions for future research in this field are proposed. • Parameters contributing to the performance of electrochemical paper-based analytical devices (ePADs) are outlined. • Strategies on paper substrate, electrode fabrication, fluid flow manipulation to enhance ePADs performance are discussed. • Strategies on device design, hyphenation of analytical procedures, and signal amplification are reviewed. • Perspectives focusing on development of new methodologies to enhance ePADs performance are proposed. [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]

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]

Highlights: [•] Non-canonical grammar appears on average once every 902 words in the Best Papers corpus. [•] This non-canonical written grammar is also reportedly found in oral communication. [•] The predominance of non-native speakers in engineering may be responsible for this phenomenon. [Copyright &y& Elsevier]

Paper based lateral flow assays (LFAs) have achieved grand success in point-of-care diagnostics; nevertheless, they are still facing challenges. This review outlines current major challenges in LFAs addressing particularly sensitivity, specificity, selectivity, reproducibility and multiplex capability. Potential solutions to meet these challenges are proposed in the areas of chemistry, nanobiotechnology, and engineering. Specifically, approaches for enhancement of sensitivity through introducing alternative nanomaterials and new signal amplification strategies, improvement of specificity through seeking for more efficient recognition molecules, optimization of selectivity by treatment of the paper surface to achieve anti-fouling sensing interface, and development of improved controls on environment, raw materials and device engineering for better reproducibility, are reviewed and discussed. The success in these perspectives will help to pave the way for the development of more efficient LFAs for future research and applications in clinical settings, food safety and quality, environment monitoring, biosecurity, etc. • Paper lateral flow assays (LFAs) with different formats and signal readout. • Address challenges in sensitivity, specificity, selectivity, reproducibility, multiplexing. • Sensitivity enhancement by nanotechnology and biotechnology. • Chemical and engineering strategies to improve the analytical performance of LFAs. [ABSTRACT FROM AUTHOR]

Abstract: The international FORUM of Fire research directors periodically takes positions on issues dealing with the direction and implementation of fire research with the potential for significant impact on safety and/or global practices, standards and test methods. This short communication represents the FORUM''s position on the validation of numerical fire models. These models are increasingly being used on the fire protection engineering community, and have the potential for a significant impact with the increasing acceptance of performance based fire codes. The FORUM position is to require verification and validation of these models. Activities should include; code verification to identify and reduce coding errors, calculation verification to establish appropriate model usage, and model validation to provide a quantitative assessment of the predictive capabilities of a model. Peer-reviewed documentation of these activities should be published in the open literature. The importance of verification of models for fire phenomenon, and an overview of these activities, are discussed. [Copyright &y& Elsevier]

There are many classic highly complex optimization problems in the world, therefore, it is still necessary to find an applicable and effective algorithm to solve these problems. In this paper, self-adaptive hybrid cross mutation slime mold algorithm is proposed, which is AHCSMA, to solve these problems efficiently. Specifically, there are three innovations in this paper: (i) new self-adaptive Cauchy mutation operator is developed to improve the mutation ability of the population; (ii) the crossover rate balance mechanism is proposed to make up for the neglected relationship between individuals and crossover rates. Then the differential vector information between the dominant individual and other individuals in the population is highly utilized to increase the evolution speed of the algorithm; (iii) self-adaptive restart hybrid opposition learning is designed to alleviate the situation where the algorithm falls into local optimality. To verify the competitive of AHCSMA, UAV path planning problems, engineering problems, nonlinear parameter extraction of photovoltaic model problems and parameter identification problems of highly nonlinear infinite impulse response are used to test the ability of the AHCSMA, accumulation more than 50 algorithms are used as comparison algorithms, and results report that AHCSMA is extremely competitive and performs better when optimizing these real-life problems. [ABSTRACT FROM AUTHOR]

A list of titles of the original research papers published in the Japanese journals, "Journal of the Society of Powder Technology, Japan" and "Powder Science & Engineering" is presented.

Lists several titles of original research papers published in the Japanese journals "Journal of the Society of Powder Technology, Japan" and "Powder Science & Engineering."

Presents a list of research papers published in the journals 'Powder Science & Engineering' and 'Journal of the Society of Powder Technology, Japan.'

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]

Wood bottom ash (WBA) is a type of wood waste ash produced as a by-product from the incineration or combustion from wood-fired power plants, pulp and paper and wood-burning industrial facilities. It is the fraternal twin of the most common and popular fly-ash which is obtained from the same process. Most of the WBA produced are disposed in landfills while few quantities of it are being used as supplementary cementitious materials (SCM) because of their pozzolanic activities. Several studies have been published to evaluate generally the use of wood waste and fly ashes as construction materials but the use of WBA as an entity has not found prominent attention when compared with the former. This review gives a comprehensive report of the factors determining the performance of WBA as cementitious material, physio-chemical characteristics of the ash, performance assessment of WBA on some cementitious properties, occupational hazard associated with WBA when used as a construction material and comparison with wood fly-ash and lastly the comparison of engineering properties between WBA and other major ashes used as SCMs' for construction purposes. The other ashes considered and compared with WBA were wood fly ash (FA1), sugarcane bagasse ash (SB1), rice husk ash (RH1), palm-oil ash (PO1), coal fly ash (CA1), coal bottom ash (CA2), municipal solid waste ash (SW1), bamboo leaf ash (BL) and waste paper sludge ash (WP). The findings revealed that inclusion of WBA at an optimum level in cement-based materials is valuable to sustainable development as well as for waste management. [ABSTRACT FROM AUTHOR]

[Display omitted] • Ru nanoparticles (NPs) anchored on heterointerface of 1 T-MoS 2 and carbon paper (Ru@1T-MoS 2 /CFP) is designed. • The Ru 2 @MoS 2 -85 %/CFP presents superb HER performance with overpotential of 19 mV and a low Tafel slope of 29 mV dec–1. • The strong interaction between 1 T-MoS 2 and OH* makes OH* migrate from Ru to MoS 2 , alleviating the poisoning of Ru sites. • Ru NPs close to the interface of 1 T-MoS2/CFP can achieve an optimal hydrogen adsorption energy for high HER performance. Ru is considered as highly efficient Pt-free catalyst in hydrogen evolution reaction (HER) due to its fast water dissociation kinetics. However, its strong affinity to OH* and H* greatly limits its HER performance. Herein, Ru nanoparticles (NPs) anchored on the mixed substrates of MoS 2 (different 1T contents) and carbon fiber paper (Ru@MoS 2 -1T%/CFP) is designed and synthesized with three kinds of interfaces (MoS 2 /CFP, Ru/CFP, and Ru/MoS 2) as excellent electrocatalyst for HER. Particularly, the Ru 2 @MoS 2 -85%/CFP presents superb HER performance with overpotential of 19 mV at 10 mA cm−2, a low Tafel slope of 29 mV dec–1 and stability of up to 10 days, outperforming reported Ru-based catalysts and Pt/C. The experimental and DFT studies disclose that the hydroxyl migration-assisted dissociation of water and interface-engineering desorption of H 2 process, occurring at the mutually hybridized interface sites of Ru/MoS 2 /CFP, simultaneously speed Volmer/Tafel processes. Compared to Ru, the stronger interaction of 1T-MoS 2 to OH* makes OH* migrate from Ru to MoS 2 , alleviating the poisoning of Ru sites. Also, only Ru NPs close to the interface of 1T-MoS 2 /CFP can achieve an optimal hydrogen adsorption energy for high HER performance. This designed strategy provides a novel idea for preparing supported Ru catalysts for excellent HER performance. [ABSTRACT FROM AUTHOR]

How to determine the unusual stratum load for metro tunnel under the influence of ground fissure is a major challenge faced by the construction of Xi'an Metro in China. In this paper, based on the theories of Bierbaumer and Terzaghi, a limit equilibrium form of stratum holding effect principle is proposed as an alternative solution for calculating the unusual stratum load experienced by metro tunnels crossing ground fissures at different intersection angles. Our methodology uses the movement mode of stratum-tunnel induced by active ground fissure to construct the analysis model, while considering soil properties and strength, holding force, tunnel buried depth, segment diameter, and the intersection angle between tunnel and ground fissure. Fundamental formulae for the development of soil fracture angle during this movement process are also derived and analyzed. The methodology is also illustrated and validated by two representative examples, and the sensitivity of parameters affecting the results is discussed as well, providing some design suggestions for practical engineering. The presented alternative way of calculating the unusual stratum load in the active ground fissure site might be helpful for the design of metro engineering to meet the necessary degree of safety. [ABSTRACT FROM AUTHOR]

In this paper, we consider the evolution of a new probability distribution called the exponential flexible Weibull distribution. The proposed exponential flexible Weibull distribution is obtained by combining the flexible Weibull extension with the exponential T- X strategy. For the exponential flexible Weibull, the estimators of the model parameters are derived mathematically. The appraisal of these parameters is accomplished through a simulation study. The applicability and virtuoso of the exponential flexible Weibull distribution are exemplified via two data sets. Furthermore, we implement the state-of-the-art deep learning algorithms, specifically Artificial Neural Networks and Extreme Gradient Boosting, which are widely employed in real-world applications. A comprehensive comparative analysis is conducted to assess the relative performance of these methodologies. [ABSTRACT FROM AUTHOR]

Recently, chalcogenides have attracted much attention as electrocatalysts in hydrogen evolution reaction (HER). However, few studies have been conducted on the electrocatalytic properties of gallium oxides and chalcogenides. In this paper, a Ga 2 XY (X ≠ Y, X, Y=O, S, Se, Te) defect structure doped by non-metal B, C, N, P, Si, and As have been designed. According to the study, the doping of non-metal atoms can significantly enhance their HER properties, the Ga 2 OSe-As Xi -Xi structure and Ga 2 SeTe-Si Xi -NM structure possess intensely excellent HER properties in this study with the Gibbs free energy of 0.01 eV and 0.00 eV, respectively. It is found that the Ga 2 SeTe structure has a more concentrated electron transfer range compared to the Ga 2 OSe structure, leading to a superior HER performance. This work provides a new idea for the study of HER electrocatalytic performance of the Ga 2 XY system, and it is expected to be applied to HER catalysts affordably and efficiently. • Screening of non-metal doped Ga 2 XY defective structures for HER electrocatalytic performance. • The introduction of Ga vacancies significantly enhances the HER performance of Ga 2 XY structures. • The Ga 2 SeTe defective doped structure has a more concentrated electron transfer range compared to the Ga 2 OSe structure. • The As-doped Ga 2 OSe structure and the Si-doped Ga 2 SeTe structure containing Ga defect have a near-zero ΔG H. [ABSTRACT FROM AUTHOR]

• A light-weight UAV formation control algorithm based on inner and outer loop control is proposed. • An improving ADRC based on prescribed-time extended state observer and broad learning is proposed. • The broad learning is used to dynamically optimize the weights according to the different wind disturbances. Considering that the formation composed of light-weight UAVs is highly susceptible to the interference, which may from the changes in the external environment and the uncertainty of system, a formation control method based on the inner and outer loops is proposed. In the inner loop, the single UAV stable flight can be achieved via controlling the state variables of UAV angles. In the outer loop, we can achieve multi-UAVs cooperative flight through the leader-follower strategy. In this paper, we mainly focus on the stability control of each member UAV, which is the basic composition of formation control. For this purpose, an optimized active disturbance rejection control (ADRC) is proposed which combined an improved prescribed-time extended state observer (PTESO) and weight optimization module based on broad learning. In this way, the single UAV can dynamically adjust the control weights according to different wind degrees, so that the influence of environmental changes on the control system is reduced. Then, the effectiveness and superiority of the proposed formation control methods are verified by simulations. The stability enhancement control method proposed in this paper provides a new and effective theoretical support for the actual control of the light-weight UAV formation, which has a well engineering application prospect. [ABSTRACT FROM AUTHOR]

Modeling of free-form curves and surfaces is vital in the manufacturing industry and engineering. Curves and surfaces that have flexible shapes and adjustable lengths and sizes are a necessity to fulfill the needs of the manufacturing industry. Hence, researchers develop numerous aesthetic Bézier curves and surfaces to have such flexibility and adjustability. In this paper, the generalized Riemann–Liouville fractional Bézier curves and surfaces are proposed in the modeling of complex surfaces. The generalized Riemann–Liouville fractional Bézier curves and surfaces have two outstanding parameters: shape and fractional parameters. Shape parameters are utilized to change the shape of the curves and surfaces without altering the control points hence, adding flexibility in controlling the shape. While fractional parameters are utilized in curves and surfaces' length and size adjustability. By adjusting the sizes of surfaces via fractional parameters, surfaces with optimal sizes can be modeled. In this paper, five types of engineering surfaces will be modeled, namely ruled surface, swept surface, swung surface, rotation surface, and coons patch. The geometric effects of the implementation of shape and fractional parameters to these engineering surfaces will also be analyzed, thus proving the generalized Riemann–Liouville fractional Bézier surfaces is an excellent tool in designing complex surfaces. [ABSTRACT FROM AUTHOR]

Abstract Practicing engineers and undergraduate engineering and technology students seek and use information differently within the research and design process. This paper presents the results of a survey conducted by librarians at Purdue University and information specialists at Caterpillar Inc. to analyze self-reported information habits and challenges of both user populations. The authors created surveys containing similar questions for each user group, using a framework that asked participants to think about their information needs and use during a recent engineering project. The survey questions discerned users' confidence in their information abilities, and their preferences and barriers for finding and using information. The results of this study reveal differences between students and engineers and are informative for both academic and corporate librarians. Key findings affirm previous research that novices are more confident in their abilities than experts. Additionally, the findings suggest undergraduates prefer quick, easy to digest content like online videos and news, while engineers are more likely to learn by consulting a colleague or other subject expert, and through reading journals and trade literature. While students rated themselves as more confident information users, engineers reported working in a more complex information landscape, which includes internal document management systems and numerous places to look for technical information. Findings within this paper can inform the development of information literacy curricula that better parallels the corporate environment, and can give corporate librarians insight into how recent graduates may expect to interact with information in a new work environment. [ABSTRACT FROM AUTHOR]

Significant efforts are being made to produce biofuels to replace fossil fuels and address the issues caused by global climate change. Due to its potential better conversion efficiency to useable power, decreased emission of pollutants, and high energy density, H 2 is one of the prospective options that are seen as a desirable future clean energy carrier. Although there are numerous technologies available for producing H 2 , this review concentrates on fermentative H 2 production techniques, their drawbacks, and current developments. While being a promising method, fermentative strategies still have several drawbacks, including low H 2 production yields. Many approaches have been used to address these issues; among them, the field of metabolic pathway engineering has made enormous strides. To improve H 2 generation, this paper reviewed and discussed several metabolic pathways and modified strains. As well as the challenges involved in H 2 scale-up from a laboratory setting to a commercial scale. • Biohydrogen production via fermentative methods is reviewed and elaborated. • Metabolic engineering methods are proposed for scaling up fermentative biohydrogen. • Challenges of fermentative biohydrogen production and potential solutions. • Bionanotechnology and modified strains enhanced biohydrogen production. [ABSTRACT FROM AUTHOR]

The USA is confronted with three epic-size problems: (1) the need for production of energy on a scale that meets the current and future needs of the nation, (2) the need to confront the climate crisis head-on by only producing renewable, green energy, that is 100% emission-free, and (3) the need to forever forestall the eruption of the Yellowstone Supervolcano. This paper offers both a provable practical, novel solution, and a thought experiment, to simultaneously solve all of the above stated problems. Through a new copper-based engineering approach on an unprecedented scale, this paper proposes a safe means to draw up the mighty energy reserve of the Yellowstone Supervolcano from within the Earth, to superheat steam for spinning turbines at sufficient speed and on a sufficient scale, in order to power the entire USA. The proposed, single, multi-redundant facility utilizes the star topology in a grid array pattern to accomplish this. Over time, bleed-off of sufficient energy could potentially forestall this Supervolcano from ever erupting again. With obvious importance to our planet and the research community alike, COMSOL simulation demonstrates and proves the solution proposed herein, to bring vast amounts of green, emission-free energy to the planet's surface for utilization. Well over 11 Quadrillion Watt hours of electrical energy generated over the course of one full year, to meet the current and future needs of the USA is shown to be practical. Going beyond other current and past research efforts, this methodology offers tremendous benefits, potentially on a planetary scale. • New and revolutionary engineering approach to clean energy production is proposed. • Scalable energy is produced using copper cylinders and computer science techniques. • Energy production from the Yellowstone Supervolcano prevents its future eruption. [ABSTRACT FROM AUTHOR]

Nature- and society-inspired metaheuristic algorithms have recently become the most promising technological model. To solve more complex optimization problems and complicated engineering applications, this paper proposes a new people duality psychological tendency and feedback mechanism-based Inherited Optimization Algorithm(IOA), which is inspired by people showing positive-negative duality cognitive tendency and adaptive feedback behavior when selecting information resources with different identity attributes. The IOA algorithm contains the symmetric two exploration phases. The exploitation phase adaptively regulates the dualistic psychological balance of people in inheriting the information resources with better existence value through a feedback regulation mechanism controlled by the profitability awareness to increase population diversity. This paper qualitatively and quantitatively evaluates the optimization performance of IOA on 84 benchmarks, including swarm convergence behavior, effectiveness, convergence, robustness, and significance. The scalability of the IOA is investigated using the CEC2017 suites. The algorithm performance in solving constrained optimization is verified on 8 engineering problems. All statistical results of the IOA are compared with the most promising 12 metaheuristics, which shows that the absolute computational efficiency of IOA on four types of functions is 95%, 96.67%, 80.95%, and 76.92%, respectively, the average rank (rank sum ratio) of IOA is 1.08 (1.19%) among the 13 algorithms, ranking first. The Wilcoxon signed rank test results on the CEC2017 suites show that IOA contains 1437 significance indicators out of 1440 comparisons, with the proportion of significant differences 99.79%, which suggests the proposed IOA maintains efficient search efficiency. [ABSTRACT FROM AUTHOR]

The paper addresses the question: what is engineering? We intuitively know engineering applications such as manufacturing, production, industry, management, business. The answer is not consensual because it is not easy. Furthermore, the ontological question brings us to a second question. What distinguishes engineering from other areas? It is the creative ability that distinguishes engineering. And this artificial faculty only exists in Design. Epistemology in science promotes the existence of herds, increasingly specialized groups of knowledge production. Nevertheless, engineers assume themselves as makers, and in the growing diversity promoted by specialization, they will certainly give different answers when asked about their work. We aggregate all of them as sign-makers. Therefore, engineering is Design and only Design. We reject other views. The argument presented on the phenomenological level considers them false. This paper demonstrates that it is mandatory to create a distinctive sign, which places engineering as relevant in organizations. Without the sign described in semiotics, engineering, which could pretend to be everything, becomes trivial. [ABSTRACT FROM AUTHOR]

The last 20 years has seen rapid expansion of sustainable energy deployment in the European Union (EU) and the United States (U.S.) that is driving the demand for trained professionals. An engineering degree with coursework in sustainable energy systems is a desirable initial qualification. However, engineering students should also appreciate the societal and environmental impacts of the sustainable energy transition. Furthermore, since the sustainable energy transition is a global endeavor, an international perspective is needed. The sustainable energy engineering course described in this paper taught students the scientific and engineering principles underlying the major types of emerging sustainable energy technologies from a chemical engineering perspective. The technical content served as context for comparing renewable energy deployment in the EU country of Austria with the U.S. The broader impacts (societal and environmental) of renewable energy deployment were then illustrated through student presentations. Survey results showed that students gained understanding of the engineering fundamentals underlying these renewable energy systems and challenges of their deployment in Austria and the U.S. Therefore, a unique outcome of this course was that students gained an international perspective on the expansion of sustainable energy systems needed to secure a low-carbon energy future. • New approach for developing and teaching a sustainable energy engineering course. • Topics sequenced through Technology-Resources-Deployment-Broader Impact subtopics. • Renewable energy technologies taught from a chemical engineering perspective. • International perspectives by comparing US and Austria renewable energy deployment. • Broader (societal, environmental) impact discussions through student presentations. [ABSTRACT FROM AUTHOR]

There is a pressing requirement to design a simple battery thermal model that balances simulation accuracy regarding battery thermal characteristics and engineering application feasibility. The paper carries out the experimental study and model characterization of thermoelectric coupling characteristics of ternary lithium batteries with different shapes under ambient temperature conditions. The paper designs a characterization method of the battery thermoelectric coupling model. It conducts experiments to analyze the battery's charging and discharging characteristics and extracts essential modeling parameters. It reveals the differences in the modeling parameters of ternary lithium batteries with different shapes and constructs the thermoelectric coupling models of the square and 21700 cylindrical ternary lithium battery respectively. At the same time, the paper applies the model to carry out the simulation and experimental verification of the battery thermal behavior. The experimental data monitored by the infrared thermal imager and temperature sensors are compared with the simulation results. The errors are less than 5 %. It can provide a reference for related researches and engineering applications of battery thermal behavior and thermal management. • Designing a model characterization method for batteries with different shapes. • Revealing differences in modeling parameters of batteries with different shapes. • Constructing a simpler battery thermal model with low calculation volume. • Balancing the accuracy of simulation with the feasibility of applications. [ABSTRACT FROM AUTHOR]

[Display omitted] • Main principles and methods for measuring acoustic cavitation are discussed. • Acoustic wave and system parameters affecting US process efficiency are discussed. • US for agri-food applications improved product quality and extraction efficiency. • US can be combined with conventional agri-food processes to improve operations. • Innovative designs for large-scale US assisted food processing are described. Acoustic cavitation, an intriguing phenomenon resulting from the interaction of sound waves with a liquid medium, has emerged as a promising avenue in agri-food processing, offering opportunities to enhance established processes improving primary production of ingredients and further food processing. This comprehensive review provides an in-depth analysis of the mechanisms, design considerations, challenges and scale-up strategies associated with acoustic cavitation for agri-food applications. The paper starts by elucidating the fundamental principles of acoustic cavitation and its measurement, delving then into the diverse effects of different parameters associated with, the acoustic wave, mechanical design and operation of the ultrasonic system, along with those related to the food matrix. The technological advancements achieved in the design and set-up of ultrasonic reactors addressing limitations during scale up are also discussed. The design, engineering and mathematical modelling of ultrasonic equipment tailored for agri-food applications are explored, along with strategies to maximize cavitation intensity and efficiency in the application of brining, freezing, drying, emulsification, filtration and extraction. Advanced US equipment, such as multi-transducers (tubular resonator, FLOW:WAVE®) and larger processing surface areas through innovative designing (Barbell horn, CascatrodesTM), are one of the most promising strategies to ensure consistency of US operations at industrial scale. This review paper aims to provide valuable insights into harnessing acoustic cavitation's potential for up-scaling applications in food processing via critical examination of current research and advancements, while identifying future directions and opportunities for further research and innovation. [ABSTRACT FROM AUTHOR]

Grouting lifting is the effective approach for treating differential settlement of existing tunnels, but it easily deteriorates the tunnel structure again and seriously threatens the operational safety of urban rail transit. Aiming to solve the above problem, this paper considers the interaction between the tunnel and the foundation, and establishes a series of analytical solutions of the stress, strain, axial force, and bending moment of the tunnel under single point grouting. Based on the characteristics of shield tunnel correction engineering and the analytical solution under single point grouting, the equation of the internal force and deformation of tunnel structure under multi-point grouting considering different grouting angles and different strata is obtained. The grouting correction engineering case for Shenzhen Metro Line 1 shows that the analytical solution to the displacement of the tunnel structure is well matched with the measured displacement of the tunnel structure is well matched with the measured data of the case and the difference is less than 15 %. The parameter analysis results indicate that the main loaded area of the tunnel under single point grouting is related to the stratum, and the main loaded area of the soft soil stratum is - 42. 4 ° + 42. 4 ° around the grouting point. Convergence deformation of the tunnel under multi-point grouting reaches the maximum value at the diameter passing through the center of the grouting zone and the minimum value at the diameter which is perpendicular to the former. Under the condition of limiting horizontal convergence deformation, the reasonable grouting angle range of the multi-point grouting zone is about 120 ° 150 °. This paper provides a theoretical basis that can immediately evaluate the mechanical structure performance and to determine whether to impose greater pressure when the tunnel is continuously lifted. [ABSTRACT FROM AUTHOR]

In this paper, we present a detailed study of the effect of WO 3 and Ni films in the presence of BP and BlueP-MDC nanomaterial layers on the sensitivity of a surface plasmon resonance (SPR) following the change in refractive index of the detection medium. Our nanostructure is based on the Kretschmann multilayer configuration composed of a BK7 prism, an Ag metallic film deposited on ZnO and a hybrid multilayer composed of WO 3 /Ni/2D-nanomaterials. In the first part, the study aims to optimize the effect of the thicknesses of the layers of the nanomaterials of the structure on the surface plasmon resonance. We obtain an angular sensitivity of the order of 480 deg/RIU for a figure of merit of 177.11 RIU−1 at the wavelength of 633 nm. These values are respectively 300% and 342% higher than those of a conventional SPR sensor (BK7/Ag/SM). After modeling the SPR biosensor studied in this paper, we showed how the plasmon resonance and sensitivity of the SPR sensor are affected by the refractive index of liquid biochemical elements. The proposed SPR structure can be used in highly sensitive urinary glucose detection and medical analysis applications. [Display omitted] • Engineering and optimization of the SPR device highly sensitive for biomedical processing and detection. • The optimized nanostructure shows the highest sensitivity 480 deg/RIU. • Highest sensitivity enhancement 300% for SPR biosensor. • This study demonstrated high FoM of 177.11 RIU-1 with an enhancement of 342%. • Detection of glucose concentration in human urine samples to test the glucose levels of people with diabetes. [ABSTRACT FROM AUTHOR]

The role of cost, time and labor intensity in the construction process is very important, but there is a problem of poor optimization effect. The standard genetic algorithm cannot solve the problem of index optimization in the construction process, and the optimization rationality is low. Therefore, this paper proposes an improved genetic algorithm to study the objectives of construction projects. Firstly, the k-value clustering theory is used to analyze the characteristic values of the index and divide them according to the changing trend to reduce the disturbance factors in optimization. Then, the k-value clustering theory is used to search for the child-parent node of the indicator to form the final optimization result and complete the multi-objective optimization. MATLAB simulation shows that under certain optimization criteria, improving the genetic algorithm can improve the rationality of multi-objective optimization, and the optimization time is shorter than that standard improves genetic algorithms. [ABSTRACT FROM AUTHOR]

This paper reports on a highly ambitious international study undertaken in the period 2018–2020 on the topic of convergence between biology and advanced manufacturing systems. The international team (authors of this paper) worked together to analyse the status of this convergence through the assessment of concrete examples, referred to here as demonstrators, within advanced manufacturing systems. Four independent demonstrators from different sections of the manufacturing value chain and involving bio-inspiration, bio-integration and/or bio-intelligence were selected to test the following hypothesis: "That Future Manufacturing Systems will incorporate Components, Features, Characteristics and Capabilities that enable the convergence towards Living Systems". Each of these four demonstrators have succeeded in supporting this hypothesis and in providing clear evidence to confirm that significant performance benefits may be derived through the " biologicalisation " of advanced manufacturing systems. This conclusion is of great significance for the next phases of development of manufacturing science and engineering globally. The evidence reported in this paper provides a robust basis for recommending that a deeper analysis of the implications of biologicalised manufacturing systems be undertaken. As a result of this early stage work, it is concluded that there is a high likelihood that this new convergence will lead to a major paradigm shift in advanced manufacturing. Outstanding opportunities exist for high levels of innovation in the next stages of development of advanced manufacturing processes and systems from the biological perspective. The relationship between the human and the physical manufacturing system will also change and the world of advanced manufacturing will be confronted with many new challenges including important ethical questions. [ABSTRACT FROM AUTHOR]

The biologicalisation of manufacturing is increasingly seen as a promising strategy towards sustainable, value-added manufacturing. Numerous examples of manufacturing technologies have been developed in the last years based on biologicalisation principles. Moreover, diverse approaches have emerged guiding the development of technologies which might potentially support such strategies. While biologicalisation strategies in manufacturing might lead to an increased resources efficiency, these are and remain human-made activities which imply an inherent and complex interaction with the natural environment. This paper aims at introducing the field of environmental sustainability in the current discussion on the biologicalisation of manufacturing. The strategies and technologies being developed in this field need to be thoroughly analysed using systemic and life cycle thinking. In this paper, we argue that biologicalisation strategies might lead to an absolute contribution towards environmental sustainability. Additionally, the paper proposes a screening approach to guide the analysis of the effects of biologicalisation strategies to the environment and the development of further engineering strategies to put them on a more environmentally consistent track. We then apply a method developed to review some of the related technologies. Although some of the technologies might potentially lead to a significant contribution in terms of environmental sustainability, there is still a methodological gap to support the prioritization of efforts and the (life cycle) engineering and development of such strategies and technologies. We therefore call for a systemic consideration when analysing the opportunities and risks implied by such strategies. [ABSTRACT FROM AUTHOR]