Design Model Research Articles

Applying the Purpose, Autonomy, Confidence, Engrossment Model of Motivational Design to Support Motivation for Continuing Professional Development.

Health professionals' motivation is a key determinant of their continuing professional development (CPD) outcomes. Therefore, CPD providers must ensure that they design CPD activities to support health professionals' motivation; this process is referred to as motivational design. The aim of this article is to introduce CPD providers to the PACE (purpose, autonomy, confidence, engrossment) model of motivational design, and describe how we applied the PACE model to create two online modules for an interprofessional audience. The PACE model builds on other available models of motivation design by offering theoretically informed strategies to support autonomous motivation, a specific quality of motivation that is associated with more effective learning processes and outcomes. Our experience suggests that CPD providers can use the PACE model to guide their motivational design efforts. We also encourage CPD researchers to test the theoretical assumptions that inform the PACE model.

Research on the Design Strategy of Pastoral Area Creation in Ulat Houqi, Inner Mongolia Based on Social Innovation

With the increasingly serious ecological, economic and social challenges facing the development of pastoral areas in Inner Mongolia, social innovation, as an effective way to promote the sustainable development of pastoral areas, has gradually become the focus of academic and practical attention. Based on the theory of social innovation, this paper discusses the design strategy of pastoral area creation in Ulat Houqi, Inner Mongolia. The study first analyzes the concept and background of social innovation, emphasizing that social innovation not only focuses on technological innovation, but also on improving social relations through a participatory approach to solve the problems of environmental degradation, resource shortage, and social compartmentalization faced by pastoral areas. Secondly, this paper analyzes the current living situation and main needs of herders through field research in the pastoral areas of the Ulat Houqi Banner, and finds that the low degree of informatization, ecological damage, unstable income and other problems constrain the development of the pastoral areas. In this regard, the study proposes a social innovation design model of "common governance, common construction, and common sharing", suggesting that collaborative participation and design thinking should be used to promote interaction and cooperation among herders, society, and the government, so as to promote deep-seated changes in the economic and social relations of the pastoral areas. Ultimately, the paper proposes a creation strategy that focuses on the socialization of pastoral space, emphasizing the improvement of pastoralists' daily life environment through design, enhancing their social cohesion and improving the overall development of pastoral areas. The study provides theoretical basis and practical guidance for promoting social innovation in ethnic minority areas and has important social value and application prospects.

The Effect of Providing Information About Ca Cerviks via Whatsapp Autoreply on the Interest of Women of Childbearing Age to Conduct IVA Screening at the Bandar Health Center in 2024

The high prevalence of cancer in Indonesia needs to be observed with preventive measures and early detection through Visual Examination of Acetic Acid/IVA test. The low interest of women of childbearing age to do IVA Screening is one of the health problems. Many media have been used by the government and researchers before to socialize cervical cancer prevention to the public. In the digital era, the internet is one of the dominant information media, the most accessed is WhatsApp (95.9%). Researchers use the Whatsapp autoreply feature to provide information about Ca Cervix which can be accessed 24/7. The use of this technology is expected to be useful so that users are motivated to conduct IVA screening. The study used a quasi experiment with a pretest-posttest control group design model. The data were analyzed using the non-parametric statistical test Wilcoxon Signed Rank Test to compare the differences between the pre-test and the post-test and the Mann Whitney U Test to compare the differences between the control group and the experimental group. In the control group, the results of the wilcoxon test pre-test post-test knowledge context showed a-Symp 0.227, at the input information a-Symp 0.916, in the process of providing information a-Symp 0.083 and at Interest a-Symp 0.317, the value was >0.05 Ho was rejected, there was no difference in the pre-test post-test of the control group. In the experimental group, the results of the wilcoxon test pre-test post-test in the context of knowledge, showed a-Symp 0.000, at the input of a-Symp information 0.000, in the process of providing information a-Symp 0.000 and in the interest of a-Symp 0.000, the value <0.05 Ho was accepted, there was a difference in the pre-test post-test of the experimental group. The results of the Mann Whitney U Test showed that A-Symp was 0.000< 0.05 There was a difference in the control group and there was an increase in the experimental group that was given the treatment. The interest of women of childbearing age to do IVA screening can increase after being given information about Ca Cerviks and IVA Test through whatsapp autoreply.

The relationship between robotisation and work characteristics: a systematic literature review

Abstract Although the prevalence of robots in the workplace is growing at a considerable speed, findings on their relationship with employees’ work experiences remain scarce. This poses a challenge for managers attempting to implement robots, as the few existing studies often report contradictory findings. This systematic literature review aims to solve this issue by identifying relationship tendencies between robotisation and work characteristics and the potential moderator variables in this relationship, creating a basis for future research. Findings reflect the important role of robotisation as an antecedent to the extended Work Design Model (Humphrey et al. 2007). They reveal mixed tendencies when it comes to the relationship between robotisation and both task and contextual characteristics, with a positive tendency for knowledge characteristics and a negative tendency for social characteristics being most likely. Potential moderator variables include implementation strategy, type of job, and type of robot. We conclude the review with managerial and theoretical recommendations and outline opportunities for future research.

Torque Measurement System Design for Step Motor 23HS30-3004S

This article describes the methodology employed in the development of a prototype system designed for torque measurement. The system consists of two components. Α rotating component, the transmitter, and a fixed component, the receiver. The torque data, obtained from a strain gauge bridge, are processed and transmitted to the receiver through a transformer-operated device. Rotary transformers are deployed to supply power to electronics that are mounted on shafts. This ensures continuous and stable data transmission without requiring physical connections. Additionally, the accuracy of the design model is verified through design equations and simulation results, reinforcing the system’s feasibility and reliability for real-world applications.

Sustainable Development of an Optimized Design Model for Groundwater Purification Units: A Solution for Irrigation Use in Rural Communities

Groundwater is an essential resource for both irrigation and drinking water, particularly in arid and semi-arid regions where it often serves as the only dependable source. However, its quality is increasinlgy threatened by factors such as urbanization, population growth, and the overuse of chemical fertilizers in agriculture. hese challenges are particularly acute in Saudi Arabia, where groundwater quality deterioration poses significant obstacles to sustainable water use. This study proposes an optimized design for groundwater purification units aimed at improving water quality for irrigation. The proposed systems integrate coagulation with advanced purification methods, including nanofiltration or sand filtration, to effectively remove contaminants and enhance groundwater suitability for agricultural use. Nanofiltration excels in removing dissolved salts, organic molecules, and microorganisms, while sand filtration offers an economical solution for reducing suspended solids and turbidity By addressing critical water quality challenges, the model ensures more sustainable agricultural practices and a cleaner water supply for local communities. This research underscores the need for effective water management and purification strategies to safeguard groundwater as a reliable and safe resource for future generations, especially in regions like Saudi Arabia that face severe water scarcity and pollution pressures.

A robust multi-objective optimization model for grid-scale design of sustainable cropping patterns: A case study

In the face of growing population, water scarcity, and increasing food demand, there is a pressing need to shift towards optimized, resource-efficient, climate-resilient, and sustainable agricultural practices. In light of that, designing a sustainable cropping pattern that considers the procedure of resource allocation based on land capabilities and crop features is vital for ensuring long-term food production and safeguarding the delicate balance of ecosystems. Motivated by this imperative, this study proposes a comprehensive framework that integrates Geographic Information System (GIS), System Dynamics (SD), and optimization to address the sustainable design of cropping patterns. The framework assesses grid-scale land suitability, models dynamic water resource interactions, and optimizes resource allocation based on crop calendar considerations. For the first time, a dynamic crop inventory is integrated into the cropping pattern optimization process, addressing food security concerns in a comprehensive manner. In order to evaluate the effect of uncertainties on the designed system, a robust optimization model is developed based on convex sets. The results demonstrate the advantages of the robust model in situations with uncertainty. Despite a 5% reduction in profit compared to the deterministic solution, the robust design achieves a 25% decrease in irrigation, highlighting the cost of ensuring sustainability. The deterministic approach prioritizes crops based on their economic value, whereas the robust solution considers the volume of irrigation required for a sustainable design. The managerial implications emphasize the importance of prioritizing water-efficient and climate-resilient agricultural practices to guarantee long-term food security.

Analytical model for large-scale design of sidewalk delivery robot systems with bounded makespans

Analytical model for large-scale design of sidewalk delivery robot systems with bounded makespans

Service area design and allocation problem for electric bike sharing system under demand uncertainty

ABSTRACT Currently, the electric bike sharing system (EBSS) has gained popularity due to its efficiency and eco-friendliness. However, limited battery capacity of electric bikes (EBs) complicates the system design. To address this, we propose a service area design and allocation model incorporating hybrid stations, aiming to maximize daily net profit. Two cases are explored to address demand uncertainty. First, an expected value model is established, where demand is described probabilistically. Second, demand uncertainty is addressed by modeling random variables as uncertain parameters within an uncertainty set. A two-stage robust optimization model is developed, which maximizes the net profit in the worst-case scenario. We design a row generation approach to solve adjustable two-stage robust programs. Numerical experiments with data from the Daha EBSS in Yangzhou, China, demonstrate the model applicability. Moreover, the proposed algorithm outperforms the existing scenario-based approach in terms of both solution quality and computational efficiency.

Performance of circular CFST columns strengthened with CFRP grid-reinforced ECC under axial compression: Numerical modelling and design

This paper describes a detailed numerical investigation using finite element models validated against test results from an experimental investigation on concrete-filled steel tubular (CFST) columns strengthened with carbon fiber-reinforced polymer (CFRP) textile grid-reinforced engineered cementitious composite (ECC). The three-dimensional model incorporates the confinement effects provided by the ECC, CFRP grid layers, and the circular tube. The validated model is used to evaluate the performance of strengthened CFST short columns through parametric assessments covering different geometric and material properties. Range analysis is applied in an orthogonal design to evaluate the relative significance of key parameters influencing the ultimate axial strength of the column member. The findings reveal a nearly 24 % increase in ultimate strength and over a 42 % enhancement in the residual strength of the concrete core due to the strengthening configuration. Additionally, the composite action of the CFRP grid-reinforced ECC leads to a 13 % increase in ultimate axial strength and over a 28 % improvement in the residual strength of the CFST column. The tube diameter is shown to have the greatest impact on the column axial resistance, followed by ECC thickness, ECC compressive strength, core concrete compressive strength, tube yield strength, tube thickness, and the number of CFRP grid layers. Finally, a simplified design model, which is supported by the experimental and numerical results, is introduced for the prediction of the compressive capacity of strengthened circular CFST columns.

UPAYA MENGEMBANGKAN REGULASI EMOSI MELALUI LAYANAN BIMBINGAN KELOMPOK DENGAN TEKNIK ROLE PLAYING PADA PESERTA DIDIK KELAS XI SMK LPI SEMARANG

The research conducted is entitled Efforts to Develop Emotional Regulation Through Group Guidance with Role Playing Techniques for Students of SMK LPI Semarang. The research on Efforts to Develop Emotional Regulation Through Group Guidance Services with Role Playing Techniques for Class XI Students of SMK LPI Semarang is motivated by the low level of emotional regulation of students as indicated by the exclusion of these students from their peers, causing students to become sensitive to suggestions and criticisms from others. The purpose of this study was to determine Efforts to Develop Emotional Regulation Through Group Guidance Services with Role Playing Techniques for Class XI Students of SMK LPI Semarang. This type of research is quantitative research using the true-experimental method with a pre-test and post-test design model. The sample in this study was 21 students who then became the experimental group and the control group. The data collection tool used the emotional regulation scale. The results of the hypothesis test obtained significance (2-tailed) <0.05 indicating a significant difference between the control group and the experimental group. Meanwhile, the t-test result of 0.0064 showed a difference in the treatment given to the experimental group compared to the control group. It can be concluded that group guidance services with role playing techniques can help develop emotional regulation of SMK LPI Semarang students. Based on the results of this study, the suggestion that can be conveyed is that group guidance services with role playing techniques can be used as one of the treatment methods to develop emotional regulation.

Optimizing the Supply Chain for Recycling Electric Vehicle NMC Batteries

The rapid growth of electric vehicle production has led to increased waste batteries that can no longer be used. This increase causes environmental and economic challenges. Lithium-ion battery waste harms the environment as it contains toxic and flammable chemicals. New raw materials need to be procured economically due to the need for more infrastructure and a circular economy. Therefore, the solution to overcome the impact of the accumulation of lithium battery waste is to recycle the battery. Recycling end-of-life batteries is necessary to mitigate material supply risks, reduce demand for new materials, and mitigate harmful environmental and health impacts. This study aims to provide a conceptual model for the supply chain network design of electric vehicles' Nickel Manganese Cobalt (NMC) battery recycling process. We developed a mathematical model to determine the allocation of multi-product recycling products from multi-suppliers and other related entities such as manufacturers and landfills over multiple periods. The analysis method utilizes techno-economic investment feasibility analysis and load distance method. The problem in the recycling process supply chain network is formulated in a Mixed Integer Linear Programming (MILP) model. The MILP optimization results show that the proposed model produces a globally optimal solution for allocating NMC batteries. The application of this study is to provide a solution to the treatment of waste batteries from electric vehicle end-users in Java Island, Indonesia. In addition, it can develop economic opportunities in the waste battery recycling business in the electric vehicle industry. It is building a contribution to a sustainable electric vehicle battery management system by reducing the dependence on demand for new materials from mining and analyzing the sustainability of the NMC electric vehicle battery recycling process.

Memetic-Based Biogeography Optimization Model for the Optimal Design of Mechanical Systems

The science of biogeography was described through mathematical equations in 1967 by Robert MacArthur and Edward Wilson. In 2008, Dan Simon presented an algorithm called biogeography-based optimization, or BBO, which used some of the principles and definitions described in MacArthur and Wilson’s book. The objectives of this work were to study the behavior of the BBO method when it is hybridized with other evolutionary search methods and to analyze the effect of its application to some examples of mechanical engineering systems. The operators considered in the hybridization study are genetic recombination (crossover) and local search, aiming to overcome the limitations and difficulties that arise when using the original BBO. The results of the original BBO were promising in the context of a global search. However, there is a diversity problem that does not allow for good quality increments in the final phase of the evolutionary process. The additional modifications included, such as the concept of blending in migration, the cycle of mutations and the replacement of the worst solutions by injection of new ones, all show positive effects on the method’s performance. However, the biggest increase happened with the implementation of the hybridization processes. Crossover improved the speed and diversity of the population in some cases, while local search helped the algorithm in later generations, allowing it to quickly reach the optimum point. With this mentioned, it is important to note that the best results were all obtained with the fully modified algorithm. Statistical tests were implemented to validate the significance of changes due to modifications included in the original proposal of BBO.

Validation of a contour diagram-based model for monopile cyclic design in sand and clay

Abstract Monopiles are the most popular type of foundation for offshore wind turbines. Although capturing the effects of cyclic loading is critical to the design of monopiles, there is no recommended approach in the main design standards and no consensus in the literature as to how this can be achieved. Hence, this paper presents the step-by-step methodology and validation of a new cyclic model in sand and clay. The model consists of the degradation of monotonic soil reaction curves based on soil cyclic contour diagrams. The model is found to provide a very satisfactory match with the PISA field tests in Dunkirk dense marine sand and Cowden stiff glacial till.

Tourism Innovation Based on Virtual Ecotourism Technology at Tangkahan Ecopark

Saving the environment or nature conservation as a journey is an activity that has become an option for developing tourism. Tangkahan Ecopark is one of the tourist attractions in the interior that is engaged in sustainable tourism and increasing ecological and recreational values. This research is limited to the observation area, namely the Tangkahan Ecopark Area. This research produces an implementation design based on virtual reality ecotourism technology in Tangkahan Ecopark tourism using a mixed method through an MDLC development design, data analysis based on the results of interviews, observations and literature studies. The output must be a tourism design model based on virtual ecotourism technology and Intellectual Property from the virtual technology device.

Metaverse application development for teaching geometry in virtual reality environment

This study aims to explain the Metaverse application development process for teaching geometry in a virtual reality environment. The application was developed based on the instructional design model including analysis, design, development, implementation and evaluation phases. The target group was secondary school students. During the analysis phase, students’ virtual reality experiences and their needs for using the Metaverse application academically were identified. Additionally, learning outcomes from the Secondary School Mathematics Course Curriculum were selected to determine the application content, and convenient educational software programs for a Metaverse environment were examined. During the design phase, Metaverse software that was suitable for the study's purpose was selected. Also, three-dimensional models of the objects and the environment for the application activities were designed through three-dimensional drawing programs. During the development phase, the activities’ visualization and manipulation trials were conducted by transferring the three-dimensional designs into the Metaverse application. After necessary corrections, activities took their final form. During the implementation phase, 15 students in grade 10th used the Metaverse application. During the evaluation phase, participants stated their opinions about the application. Accordingly, suggestions for improving the Metaverse application in the field of teaching geometry and its widespread implementation were proposed.

The Impact of AI-Based Cloud Network Management on Microsoft Azure in Promoting Green Technology Awareness

This study aimed to improve cloud network management skills through the Microsoft Azure AI Platform and to raise awareness of green technology among postgraduate STEM students at the Faculty of Education, Minia University. An e-learning environment was developed using the Chamilo system, which included interactive tools, educational resources, and assessment methods. The study employed Kuhlmann’s instructional design model and the general ADDIE model, following detailed procedures that aligned with the study’s objectives. Both experimental and quasi-experimental designs were used with a sample of 60 students. The measurement tools included a cognitive achievement test for cloud network management skills with AI platforms, an observation checklist for using the Azure AI platform, and a scale for green technology awareness. The results indicated enhancements in cloud network management skills using the Azure AI platform and an increase in green technology awareness among the participants. The study recommended designing learning environments that accommodate various learning styles and integrating AI platforms with green technology to support sustainable development goals.

In-situ quality monitoring during embedded bioprinting using integrated microscopy and classical computer vision

Despite significant advances in bioprinting technology, current hardware platforms lack the capability for process monitoring and quality control. This limitation hampers the translation of the technology into industrial GMP-compliant manufacturing settings. As a key step towards a solution, we developed a novel bioprinting platform integrating a high-resolution camera forin-situmonitoring of extrusion outcomes during embedded bioprinting. Leveraging classical computer vision and image analysis techniques, we then created a custom software module for assessing print quality. This module enables quantitative comparison of printer outputs to input points of the computer-aided design model's 2D projections, measuring area and positional accuracy. To showcase the platform's capabilities, we then investigated compatibility with various bioinks, dyes, and support bath materials for both 2D and 3D print path trajectories. In addition, we performed a detailed study on how the rheological properties of granular support hydrogels impact print quality during embedded bioprinting, illustrating a practical application of the platform. Our results demonstrated that lower viscosity, faster thixotropy recovery, and smaller particle sizes significantly enhance print fidelity. This novel bioprinting platform, equipped with integrated process monitoring, holds great potential for establishing auditable and more reproducible biofabrication processes for industrial applications.

Sharia Fintech Securities Crowdfunding (SCF) Business Model

The growth of the sharia economy, especially in the Securities Crowdfunding (SCF) sector, is increasingly in demand because it offers a fair financial concept. This great potential encourages startups to establish sharia-based SCF companies, such as LBS Urun Dana. However, the main challenge is the lack of public understanding of the sharia SCF business model, which often creates negative perceptions, especially among MSMEs and investors. This study aims to describe the LBS Urun Dana business model using the Business Model Canvas and Value Design Model approaches, and to analyze the strengths of sharia SCF as a driver of industrial growth in Indonesia. The method used is qualitative with data collection techniques through interviews and documentation, as well as descriptive and SWOT analysis. The results of the study show that LBS Urun Dana has integrated sharia principles comprehensively, with strong strategic partnerships and effective risk management. The focus on transparency, financial inclusion, and investor education strengthens public trust. Strengths in sharia SCF, such as solid partnership networks and sharia analysis competencies, are identified as the main factors for the growth of the sharia SCF industry in Indonesia.

Finite Element Analysis of Custom Designed and Additive Manufactured Total Surface Bearing Prosthesis for Trans-Tibial Amputees

Our limb prostheses aim to restore Activities of Daily Living (ADLs) for amputees, with the socket being a critical component of trans-tibial prostheses influencing both comfort and functionality. Despite technological advancements, challenges such as fit, weight, and durability remain. This study investigates an additive manufacturing method for Total Surface Bearing (TSB) sockets, leveraging CT scans to create a Computer-Aided Design (CAD) and finite element (FE) model. Biomechanical behavior under static loading conditions were analyzed using FE analysis and resistive-based pressure sensors. The study found consistent pressure distribution across the residual limb, with deviations of 8.53 kPa and 4.46 kPa between FE analysis and experimental measurements. Mean pressures of 44.6 kPa and 22.11 kPa were observed under Full Body Weight (FBW) and Half Body Weight (HBW) conditions, respectively. The FE analysis demonstrated a uniform stress distribution in the prosthetic socket, with a maximum stress of 0.15 MPa and a deformation of 0.008 mm, highlighting the effectiveness of this approach in enhancing socket design.