Design Tool Research Articles

"Material !Ndeed" Workshop Series as a Hyper-Focus Niche at the Intersection of Material Selection and Architectural Design Tools

This study examines the "Material !ndeed" workshop series held during the summer semesters of 2021-2022 and 2022-2023 at Özyeğin University's Faculty of Architecture and Design. This research assesses the efficacy of "hyper-focused learning," which prioritizes intensive study on a single topic, compared to "hypo-focused learning," which encompasses multiple topics within the same academic semester. The principal objective is to equip architecture undergraduate students with a comprehensive understanding of architectural sub-specialties through a hyper-focused learning approach. The workshops are designed to enhance students' research skills and ability to apply obtained knowledge to various design fields. The workshops offer a complementary learning experience that strengthens their knowledge generation and sharing skills with peer learning. The Material Indeed workshops are configured as a ten-day practice with the participation of fifteen to thirty students, focusing on systematic material selection methods, building components, elements, and conceptual design processes. The initial workshop served as a pilot study, while the second workshop was designed to facilitate the transfer of scientific knowledge to practical applications regarding pilot study results. During the second workshop, students commence seminars on building materials and representational tools, after which they undertake tasks to research and represent the various properties of building materials employed in exterior wall systems. They conduct tectonic analyses of built examples and develop 1/10 scale exterior wall models, synthesizing their findings into the design process. The workshop methodology is based on Kolb's learning process, which combines passive learning through seminars, active learning through research, and experiential learning through model-making. The study evaluates the impact of the workshops on design education, the hyper-focused learning approach, and the educational methods used. A questionnaire applied to participants led to the formulation of a discussion on the potential of hyper-focused learning, intending to improve the quality of design education.

Implementing multi criteria decision making methods for computing complexity involved in industrial investment castings

Investment casting is admired for its ability to produce industrial castings with remarkable precision, exceptional exterior finish and complex designs among diverse industrial application. Traditionally, the complexity of these castings is generally assessed qualitatively while quantitative measurement of this complexity remains largely unexplored. To identify the various parameters that affects the complexity of industrial investment casting, an in-person industrial survey was carried out in one of the major investment casting clusters that accounts for nearly 25% of India’s investment casting foundries. Through this survey it was found that complexity of investment casting is determined by three factors related to geometry, features and manufacturability. These three factors are further driven by 19 elements and 52 attributes. These 52 attributes are further characterised by 212 meta-attributes. This research focuses on applying multi-criteria decision-making methods to quantify the complexity affects in manufacturing industrial investment castings. Numerous methodologies within the domain of Multi-Criteria Decision-Making (MCDM) have been explored to determine the appropriate weightage for the factors, elements, attributes and meta-attributes involved. It was observed that for the specific problem mentioned, the Weighted Criteria Approach (WCA) and Analytical Hierarchy Process (AHP) were identified as suitable choices, aligning well with the required level of accuracy. The result obtained through these methods were used to compute the complexity of industrial castings. The proposed complexity index was validated using various industrial castings and proved to be a valuable tool for designers in adopting investment casting process for producing complex castings.

Integrating Temporal Dimensions in Circularity of the Built Environment Analysis of Two Flemish Industrial Parks

This manuscript explores how incorporating temporal dimensions into built environment research can promote a more circular society, adding societal improvements to efficiency-driven measures closing waste or material cycles. The current circularity approaches in industrial environments mainly focus on short-term innovations reducing resource extraction and waste, overlooking long-term circularity potentials of natural resource management such as living soils as a basis for all life. This study addresses this gap by investigating, analyzing, and drawing interplays between regenerative soil cycles and business development cycles in two Flemish industry parks, Kortrijk-Noord and Haasrode. Using diachronic mapping, a qualitative design and action research tool, the study aims to generate a space–time composite of soil and business cycles, integrating archival research, interviews, and policy document reviews. This method visually captures interplays between geology, land valuation, and economic development, demonstrating that integrating soil and business cycles can suggest new pathways for site-specific circular practices on Flemish industry parks, which can inform site-specific project frameworks for circular built environments. As such, the research advocates a paradigm shift in industry park (re)development, from product and material innovation within a ‘time is money’ framework to an integrated ‘time is life’ approach, where time’s historical and social dimensions are part of circular landscape development.

Structure-based virtual screening of Trachyspermum ammi metabolites targeting acetylcholinesterase for Alzheimer's disease treatment.

In recent decades, Alzheimer's disease (AD) has garnered significant attention due to its rapid global prevalence. The cholinergic hypothesis posits that the degradation of acetylcholine by acetylcholinesterase (AChE) contributes to AD development. Despite existing anti-AChE drugs, their adverse side effects necessitate new agents. This study analyzed 150 bioactive phytochemicals from Trachyspermum ammi using structure-based drug design and various in-silico tools to identify potent anti-AChE compounds. Compounds were screened for drug-likeness (QEDw ≥50%) and bioavailability (≥55%) and underwent toxicity profiling via the ProTox-II server. Selected compounds were prepared for molecular docking with the human AChE protein as the receptor. Viridifloral, 2-Methyl-3-glucosyloxy-5-isopropyl phenol, Alpha-Curcumene, and Sterol emerged as top candidates with high AChE affinity. These results were validated by molecular dynamics simulations, confirming stable interactions. The hit compounds were further evaluated for drug-likeness using Lipinski's rule and ADMET properties, confirming favorable pharmacokinetic profiles. DFT optimization analyzed frontier molecular orbitals and electrostatic potential, demonstrating favorable chemical reactivity and stability. This study suggests that these identified compounds could be novel nature-derived AChE inhibitors, potentially contributing to AD treatment. However, further in-vitro and in-vivo studies are necessary to confirm their efficacy in biological systems. Future research will focus on developing these compounds into safe and effective drugs to combat Alzheimer's disease.

China’s aviation policies in response to the COVID-19 and its impact on tourism sectors

ABSTRACT The implementation of aviation policies represents a pivotal strategy in response to the COVID-19 pandemic for the development of the tourism industry. This paper investigates the impact of 2020–2023 Chinese aviation policies on the returns of various economic sectors. Utilising a multiple-dependence contagion test alongside network analysis, our study reveals that among the three aviation policies, financial support policies exert the greatest influence in explaining policy contagion from the aviation sector to the 15 relevant economic sectors, followed by national aviation development policies. Regulatory adjustment policies have a comparatively lesser impact on contagion. The tourism and hospitality industry exhibits the highest sensitivity to aviation policy shocks, followed by the logistics and transportation, financial and insurance, and energy and environmental protection sectors, with the telecommunication industry experiencing the least impact. These findings provide valuable insights for policymakers to design and implement effective policy tools to prepare for future economic downturns.

Examining Science Teachers’ Conceptions of Student Interest as a Consideration in Designing Assessments

ABSTRACT A key goal of science education articulated in A Framework for K-12 Science Education is to create opportunities for students to answer questions about the world that connect to their interests, experiences, and identities. Interest can be seen as a malleable relationship between a person and object (such a phenomenon students might study). In this paper, we analyzed data from a design study of an online course focused on preparing 11 secondary teachers to design three-dimensional tasks that align to the Next Generation Science Standards and that connect to students’ interests. Our data sources were teachers’ descriptions of their design decisions about what phenomena to use to anchor assessment, designed assessment tasks, and interviews with them about those decisions. We found that interest was an important consideration for assessment design, but teachers considered student interests in different ways. Some teachers shifted their views of what it meant to engage student interests in the context of assessment design over the course of their participation in professional learning. Most teachers made decisions about what they believed their students were interested in based on their knowledge of students or beliefs about their students’ interests. In supporting teachers to design summative assessments that link to students’ interest, it is critical to assume teachers bring a range of conceptions of interest and to consider the feasibility and utility of task design tools from teachers’ point of view.

Latent Thermal Energy Storage for Cooling Demands in Battery Electric Vehicles: Development of a Dimensionless Model for the Identification of Effective Heat-Transferring Structures

Thermal energy storage (TES) systems open up alternative paths for air conditioning to increase the range of battery electric vehicles (BEVs) by reducing power consumption. The central prerequisites for this purpose are high storage densities: high-temperature TES systems are being focused on for heat demands, while effective solutions for cooling are missing. Due to their lower temperature potentials, concepts with high storage capacities and heat transports between the storage and cold transferring medium are needed. Latent TES systems based on water enable these capacities but require adequate internal structures for effective heat transfer. Due to the large number of geometric options, high simulation efforts must be conducted to identify favored structures, or the possible design space must be limited for investigations. For this purpose and for the first time, an alternative way is presented using newly developed dimensionless models in a top-down methodology for time-efficient design studies and evaluations. These models were successfully validated and used as a design tool to identify effective structures in latent TES systems for cooling demands in BEVs. A wide array of variation studies on tube, finned plate and novel Triply Periodic Minimal Surface (TPMS) structures were performed and uniformly evaluated with regard to storage densities, cooling efficiencies and geometry. The results show high storage densities for novel TPMS structures, including the enclosure of 100 Wh/kg or 102.2 kWh/m3 with average cooling capacities of 1 kW over 30 min, confirming the usability of latent TES systems in terms of compactness and efficiency for cooling demands in BEVs.

Type synthesis, analysis, and prototyping of 4R1H mechanisms

Abstract The article introduces a novel class of 4R1H mechanisms, where 4R indicates four revolute joints and 1H indicates one helical joint. The paper starts with the type synthesis of these mechanisms, which involves combining two kinematic chains with planar and cylindrical motion types into a single closed-loop kinematic chain. If we fix any link in such a chain, we get a workable mechanism. The synthesis procedure considers two options for the relative arrangement of these two kinematic chains. Adding an H joint to the kinematic chain allows us to design mechanisms whose output link performs spatial motion. Using the proposed synthesis procedure, we develop a family of 4R1H mechanisms. Next, we choose one mechanism as a representative example and consider its mobility, singularity, kinematic, and dynamic analysis. Using screw theory, we confirm the mechanism has one degree of freedom and determine its singular configurations. Kinematic analysis provides closed-form expressions to calculate displacements, velocities, and accelerations of all the mechanism links. Dynamic analysis uses these results to compute the motor torque required for one motion cycle. To verify the suggested analytical algorithms and obtained results, we use computer-aided design tools, which allow us to develop virtual and physical prototypes.

Integrated Dynamic Analysis of Thin-Walled Beams: Coupled Bidirectional Bending, Torsion, and Axial Vibrations Under Axial Loads

This paper proposes a beam model integrating the Timoshenko beam theory with Vlasov beam theory to capture the coupled behavior of bidirectional bending, torsion, and axial vibration in thin-walled beams subjected to axial loads. Our model incorporates the effects of shear deformation, rotational inertia, and axial loads, offering a comprehensive approach to complex dynamic behaviors. By utilizing Hamilton’s principle, we derived a complete set of coupled dynamic equations and boundary conditions. The highlight of this model is its capacity to accurately predict the dynamic response of thin-walled beams under multifaceted loading conditions, surpassing traditional models by integrating coupled axial vibrations. This research significantly advances the understanding of the dynamic behavior of thin-walled beams, providing a precise analytical tool for structural design and safety assessment. The robustness and accuracy of the proposed model were validated through extensive theoretical analysis and empirical validation, equipping engineers with critical insights to optimize the design of engineering structures subjected to complex dynamic loads.

Power-Assisted Scissors Reduce Adductor Pollicis Muscle Fatigue: A Comparative Study in Female College Students

Hand fatigue commonly occurs in repetitive tasks, such as cutting with scissors, leading to discomfort, reduced productivity, and musculoskeletal disorders. Recent advances in assistive technology have introduced power-assisted scissors to reduce the muscular load. Pinching and grasping mainly involve the adductor pollicis muscles of the hand. Measuring the electromyographic (EMG) activity of these muscles provides valuable insights into the muscular effort required for such tasks. Studies have indicated that power-assisted devices can effectively reduce muscle strain and fatigue. However, research on the effect of power-assisted scissors on adductor pollicis muscle activity is limited. This study examines the differences in adductor pollicis muscle activity using power-assisted scissors versus traditional scissors. The experiment consisted of 20 participants performing a scissor manipulation task with and without power assistance. Frequency analysis of the adductor pollicis muscle EMG data indicated that scissors with power assistance significantly reduced muscle fatigue (95% confidence interval, 10.705 [4.523–19.751], p < 0.01, η2 = 0.01). Understanding the efficacy of power-assisted scissors has significant implications for occupational health—particularly in professions that involve extensive manual cutting, such as tailoring and hairdressing. This study can contribute to the design of ergonomic tools that enhance comfort and reduce musculoskeletal disorder risks.

Process Parameters and Tool Design in Friction Stir Extrusion: A Sustainable Recycling Technique

ABSTRACTFriction stir extrusion (FSE) is a versatile technique that plays a dual role in sustainable recycling and shaping of materials. This method involves a rotating mandrel and a fixed matrix within a mold, where compressed waste metal chips or primary bulk materials are introduced. The rotating mandrel exerts continuous axial pressure, generating frictional heat that softens and bonds the materials together. As the mandrel advances, the materials are reshaped and extruded through the cavity inside the mandrel or the space between the mandrel and the matrix, resulting in the desired product, such as wires or pipes. FSE finds applications in recycling machining wastes, improving powder metallurgy products, producing wire raw materials, creating structures with fine microstructures, and developing new alloys and composites. The resulting materials exhibit refined grains, leading to enhanced mechanical and metallurgical properties. This review article compiles experimental studies exploring the mechanical and microstructural characteristics of samples manufactured using FSE for recycling, reshaping, alloying, or bilayer production. Additionally, it discusses various tool, mold, and machine designs proposed by researchers. Beyond its unique properties, FSE is highlighted as an energy‐efficient, sustainable, and eco‐friendly process.

Life-cycle assessment tools for road design: analysing linearity assumptions

Road infrastructure significantly impacts how people move, live, and the emissions associated with travel behaviour. The design of roads is crucial in mitigating emissions. This paper reviews existing transport Life-Cycle Assessment tools that have been developed by various entities and can be used for roads. The review focuses on several aspects in terms of data sources used in the analysis, the methods of estimating carbon emissions, the underlying software that is used to make the estimates and any limitations of the tools. A critical issue identified in Life-Cycle Assessment analysis is the erroneous assumption that relationships within the assessed systems are linear. The current tools focusing on transport infrastructure assessment were developed based on the linear assumptions and limitations of the Life-Cycle Assessment analysis. A significant research gap identified is that existing Life-Cycle Assessment tools are not integrated with the design process. The analysis is an add-on process to design and the results of an assessment are not then used iteratively to enhance the design. A case study on aggregate road design found that road area significantly correlates with emissions, slope adjustments reduce emissions, and soil type impacts emissions, suggesting future research should explore nonlinear relationships for sustainable road design.

Temperature and pH Effects on High-Methane Biogas Production

Objective: Biomass is a renewable, widely available, and economically viable energy source for use in anaerobic digestion processes to produce biogas and methane (CH₄). To harness this potential, various technologies have been improved to better reuse organic waste, such as those from the agroindustry, to generate renewable energy and also to contribute to minimizing the environmental risks caused by the improper disposal of these materials. The objective of this study was to define the best operational conditions for the production of biogas and CH₄ from the anaerobic co-digestion of bovine manure, cassava wastewater, and coffee husk. Methods: All tests showed significant biogas production with at least 80% methane. The statistical tool of experimental design made it possible to identify an inversely proportional relationship between pH and temperature, within the conditions analyzed for these factors. Results: Thus, it was defined that the combination of an initial pH above 9.5 and a temperature below 35 °C is capable of resulting in a biogas volume > 600 cm³ and CH₄ > 500 cm³. For example, the best experimental performance was obtained with an initial pH of 10.0 and a temperature of 30 °C, which resulted in 798.72 cm³ of biogas and 638.98 cm³ of CH₄ accumulated after 15 days of hydraulic retention time. These best experimental conditions enabled 58.53% removal of chemical oxygen demand and a final pH close to neutrality (6.3). Conclusion: This represents good fermentation conditions for methanogenic bacteria and confirms the feasibility of using co-digestion of the three evaluated residues.

Effects of Out-of-Plane Deformation of the Base Plate on the Structural Behavior of an Exposed Column Base

This study explores the behavior of exposed column bases in concrete-filled steel tubular (CFST) and steel structures, with a focus on cases where base plates yield due to out-of-plane deformation. Understanding these mechanisms is crucial for improving the design and safety of these structures. Experimental tests and numerical analyses were conducted on four specimens to investigate their lateral load versus drift angle behavior. The tests demonstrated that base plates exhibited sufficient deformation capacities and enhanced hysteresis characteristics. Finite element method (FEM) analysis successfully traced the load–deformation relationships observed in the tests, providing detailed insights into stress distribution on the base plates. Based on these analyses, a simplified calculation method was proposed to evaluate the horizontal strength of exposed column bases. The proposed method showed excellent agreement with the test results, highlighting its potential as a practical tool for structural design.

The effects of stress on surgical performance: a systematic review.

Acute stress, the psychological response to short-term challenging stimuli, is frequently encountered in the high-pressure environment of the operating theatre. Surgeon stress is associated with deterioration in surgical performance, surgical team working and compromised patient safety. Given these concerns, the aim of this review was to understand the impact of acute stress on surgical performance in technical and non-technical domains as well as patient outcomes. A systematic review was conducted following PRISMA guidelines. Electronic databases were searched for studies examining acute stress in medical professionals during real or simulated surgical procedures that reported performance outcomes in technical and non-technical skills. Risk of bias assessment was conducted using appropriate tools for each study design. Out of 1445 identified studies, 19 met the inclusion criteria. In simulated environments, acute stress consistently led to impairment in both technical and non-technical skills during surgical procedures. Technical skill deterioration included higher procedural error rates, longer task completion times and diminished instrument handling. Non-technical skills, such as teamwork and communication, also were impaired under stress conditions. Real-world studies echoed these findings, demonstrating acute stress resulting in higher error rates and impaired non-technical skills. No studies identified surgeon stress as having a causal relationship with patient outcomes. Acute stress significantly impacts both technical and non-technical skills during surgical procedures, impairing performance in simulated and real-world surgical environments. Despite the growing understanding of the detrimental effects of stress, gaps remain in comprehensively assessing its impact on patient outcomes. Further research is warranted to develop reliable stress measurement methods applicable in surgical settings and explore effective stress management strategies.

Prediction of the thermal degradation–induced colour change of acrylonitrile butadiene styrene products as a function of temperature and titanium dioxide content

In this study, we examined the thermal degradation–induced colour change of acrylonitrile butadiene styrene (ABS)–based titanium dioxide (TiO2)–doped products as a function of TiO2 content and temperature. Based on the time–temperature superposition (tTS) principle and the CIELAB colour space, we proposed a methodology for developing a robust model to estimate the long-term colour change of polymers doped with TiO2 at elevated temperatures. We used 800 h of measurement data to develop the model and validated the colour change predictions of the model in 1600 h. The average colour difference between the measured and modelled results at the application temperature range (below 80 °C) was <1.5, smaller than the just noticeable difference (JND) in the CIELAB colour space. We found that above a certain TiO2 content (approximately 3 wt%), the colour retention of the ABS/TiO2 specimens can no longer be improved by increasing their TiO2 content. To show the applicability of the model, we present two simple case studies predicting the colour and appearance of a polymer product under constant and variable heat loads. The proposed methodology provides an excellent tool for design, as it can be used to determine the optimum amount of TiO2. Moreover, it accelerates and simplifies the design process.

Structure-optimized sgRNA selection with PlatinumCRISPr for efficient Cas9 generation of knockouts.

A single guide RNA (sgRNA) directs Cas9 nuclease for gene-specific scission of double-stranded DNA. High Cas9 activity is essential for efficient gene editing to generate gene deletions and gene replacements by homologous recombination. However, cleavage efficiency is below 50% for more than half of randomly selected sgRNA sequences in human cell culture screens or model organisms. We used in vitro assays to determine intrinsic molecular parameters for maximal sgRNA activity including correct folding of sgRNAs and Cas9 structural information. From the comparison of over 10 data sets, we find major constraints in sgRNA design originating from defective secondary structure of the sgRNA, sequence context of the seed region, GC context, and detrimental motifs, but we also find considerable variation among different prediction tools when applied to different data sets. To aid selection of efficient sgRNAs, we developed web-based PlatinumCRISPr, an sgRNA design tool to evaluate base-pairing and sequence composition parameters for optimal design of highly efficient sgRNAs for Cas9 genome editing. We applied this tool to select sgRNAs to efficiently generate gene deletions in Drosophila Ythdc1 and Ythdf, that bind to N 6 methylated adenosines (m6A) in mRNA. However, we discovered that generating small deletions with sgRNAs and Cas9 leads to ectopic reinsertion of the deleted DNA fragment elsewhere in the genome. These insertions can be removed by standard genetic recombination and chromosome exchange. These new insights into sgRNA design and the mechanisms of CRISPR-Cas9 genome editing advance the efficient use of this technique for safer applications in humans.

Type synthesis of a new class of 4-3T1R(y) parallel mechanisms for parallel machine tools design

Unlike previous design procedures for parallel machine tools (PMTs), this paper first analyzes the path and posture requirements of the tools in universal processing, then proposes and constructs a new class of PMs that can provide the required path and posture. This opens up new ideas for the design of PMTs. Based on the reciprocal screw theory, a type synthesis process of asymmetrical lower-mobility PMs was proposed. Through this process, a novel class of four-limbed parallel mechanisms (PMs) providing three translations and one rotation around a horizontal axis (y-axis), denoted as 4-3T1R(y) PMs, was successfully proposed and constructed. Such PMs can be applied to the design of PMTs, especially the design of micro-electrical discharge machining (micro-EDM) PMTs. The structural design of a new 2RRC-2CRU PM, which was a member of 4-3T1R(y) PMs, was performed, and its mobility was analyzed in detail to demonstrate the efficiency of the proposed type synthesis process. The inverse, forward, and velocity kinematics problems of the 2RRC-2CRU PM were solved for further applications.

Control Intracellular Protein Condensates with Light.

Protein phase transitions are gaining traction among biologists for their wide-ranging roles in biological regulation. However, achieving precise control over these phenomena in vivo remains a formidable task. Optogenetic techniques present us with a potential means to control protein phase behavior with spatiotemporal precision. This review delves into the design of optogenetic tools, particularly those aimed at manipulating protein phase transitions in complex biological systems. We begin by discussing the pivotal roles of subcellular phase transitions in physiological and pathological processes. Subsequently, we offer a thorough examination of the evolution of optogenetic tools and their applications in regulating these protein phase behaviors. Furthermore, we highlight the tailored design of optogenetic tools for controlling protein phase transitions and the construction of synthetic condensates using these innovative techniques. In the long run, the development of optogenetic tools not only holds the potential to elucidate the roles of protein phase transitions in various physiological processes but also to antagonize pathological ones to reinstate cellular homeostasis, thus bringing about novel therapeutic strategies. The integration of optogenetic techniques into the study of protein phase transitions represents a significant step forward in our understanding and manipulation of biology at the subcellular level.

Exploring the Modelling of Gold Anisotropic Nanoparticles’ Optical Properties as a Promising Tool for Detection Systems Design

Gold nanoparticles have been a central topic in the last few decades due to their excellent optical properties that can be exploited in many applications, including food analysis, materials science, and biomedicine. The basis of these unique optical properties is the phenomenon known as localized surface plasmon (LSP), which relays in the collective oscillation of the conduction band electrons in the nanoparticle when excited by electromagnetic radiation. The optical properties of the nanoparticles are critical for selecting the best nanomaterials for each application, a key factor for optimum performance, and can be tuned due to their dependence on the geometry and size of the nanoparticles, as well as the polarization of the light beam. Here, we conducted simulations to study the tunable optical properties and local electric field distribution of three types of gold nanoparticles, cubes (AuNC), boxes (AuNB), and triangular prisms (AuNT), which have relatively simple synthetic routes. Finally, we compared these results with experimental data and described possible synthetic routes to discuss the positive and negative aspects of using each type of nanoparticle for potential applications.