Innovative Design Approach Research Articles

Mascot Design of Zara and Vano as a Marketing Strategy for Zabava Labs

The development of online games is in line with advances in computer and network technology, including Web3 which includes the use of Blockchain, smart contracts and decentralization. One company operating in this field is Zabava Labs, located in Singapore, with their flagship product, Sentinel Haven. Although Zabava Labs is active on social media, especially Instagram, the visual image of their feed does not represent the company effectively, which results in low audience engagement and interest. This research aims to design a character mascot that is attractive to young gamers in Indonesia to improve the image and interaction of Zabava Labs on social media. The designed mascot is expected to be able to build the company brand by providing a lasting impression, facilitating effective communication with the audience, and increasing brand recognition in the market. Through a creative and innovative design approach, this mascot will become a visual element that is not only attractive, but also reflects a strong and memorable brand.

Revitalizing Interest in Traditional Malaysian Games Among the Younger Generation Through Mobile Applications: An Interface Design Approach

The rich heritage of traditional Malaysian games is at risk of fading in the face of modern digital entertainment, particularly among younger generations. This study explores how mobile applications can serve as a platform to revitalize interest in these games by employing an innovative interface design approach. Focusing on user-centred design principles, this paper highlights the importance of visual appeal, ease of use, and engagement in encouraging younger users to interact with this cultural artefact. By combining tradition with technology, the research demonstrates how thoughtfully designed mobile applications can preserve cultural heritage while resonating with the digital-native generation. The findings present a framework for integrating cultural education into modern gaming experiences, contributing to preserving Malaysia's unique cultural identity.

Utilization of natural kapok and coconut fiber in thermally insulated sustainable concrete design.

Nowadays, when regenerable alternative green sources are attracting more caution under sustainability targets, kapok and coconut fibers, known as natural fibers, have come to the fore as a very significant raw material source. In this experimental study, compressive strength, thermal insulation, and pore structure characteristics of kapok fiber (KP)- and coconut fiber (CC)-incorporated concrete samples under different curing conditions were analyzed. For that purpose, randomly distributed fiber-incorporated concrete mixtures containing 0%, 0.5%, 1%, and 1.5% KP and CC fiber by the weight of cement were prepared and under H2O2 and NaClO curing conditions, the effects of KP and CC fiber inclusion on properties mentioned above of fiber-incorporated concrete samples were researched in detail. Experimental results depict that a maximum thermal conductivity coefficient decrease of 24.31% was detected at a content ratio of 1.5% by the reason of the pore modification effect of used natural fibers in the H2O2 curing group. Because of the remarkable pore modification effect of KP fiber incorporation into the cement matrix compared to the CC fiber inclusion cases, strong linear correlations revealing the insulation-strength mechanism could be detected for both H2O2 and NaClO curing cases. This work intends to promote sustainable development in the building industry by integrating natural fibers into concrete mixtures as an innovative design approach.

Optimization of an Innovative Design System for Han Embroidery Dresses Based on Image Matching Method

With cultural confidence emerging as a significant trend in national development, this study underscores the importance of comprehending the cultural essence of Han embroidery attire. Understanding and advancing Han embroidery not only enriches its heritage but also elevates its cultural prominence and fosters the training of future custodians. Through an examination of the historical trajectory of Han embroidery, this paper introduces an innovative design approach grounded in multimedia information gathering techniques. By advocating for increased attention to Han embroidery elements in attire, the study aims to stimulate broader interest in its design and application. Embracing cultural confidence as a guiding principle, the research delves into the nuances of innovative Han embroidery gown design, spanning color, pattern, and style considerations. Through this inquiry, the paper seeks to offer insights that expedite and enhance the evolution of Han embroidery design.

Light-Induced Polaronic Crystals in Single-Layer Transition Metal Dichalcogenides.

Light-induced ordered states can emerge in materials after irradiation with ultrafast laser pulses. However, their prediction is challenging because the inverted band occupation confounds our chemical intuition. Hence, we use a recently developed constrained density functional perturbation theory approach to systematically screen single-layer transition metal dichalcogenides (TMDs) for light-induced ordered states. We demonstrate that all examined single-layer TMDs reveal similar light-induced charge orderings. The corresponding reconstructions are periodic arrangements of polarons (polaronic crystals), characterized by triangular metal clusters and having no equivalent at equilibrium conditions. The polarons are accompanied by localized midgap states in the electronic band structure, detectable by experimental methods. We assess the selenides as the most promising candidates for potential photoexcitation experiments because they transition at low critical fluences, have low transition barriers, and maintain an open band gap under photoexcitation. Our work paves the way for innovative material design approaches targeting light-induced phases.

An innovative approach for enclosure design of power generators to meet noise regulation targets

The use of diesel-powered engine generators as a power source is very common for various industrial and residential applications. There are strict regulatory requirements and legislations to limit the noise levels from these generators below statutory limits. The purpose of the paper is to present an approach using statistical energy analysis (SEA) augmented by experimental inputs for the prediction of noise levels for the generators and propose strategies for optimized enclosure design that effectively mitigate noise to achieve regulatory requirements. The study begins by developing an SEA model that represents the acoustic behavior of the generator and enclosure. The airborne sources such as engine, alternator, radiator fan and exhaust are modelled explicitly using experimental noise source characterization. Based on the established SEA model and excitation sources, noise levels are predicted through the calculation of energy flow between subsystems. The predicted sound levels for an existing Diesel Generator with enclosure were validated with its test data to ensure correctness of SEA model. Parametric studies were carried out using simulations on key variables, including critical noise paths, panel thickness, and noise control treatments. These investigations helped identify optimal process parameters that reduce noise levels emitted by genset in adherence to noise regulations.

Novel Collagen Analogs with Multicopy Mucin-Type Sequences for Multifunctional Enhancement Properties Using SUMO Fusion Tags.

Multifunctional enhanced collagen materials in green biomanufacturing are highly desired yet challenging due to the poor comprehensive performance caused by the adoption of targeting monofunctional peptides. Herein, novel collagen analog design strategy using multicopy tandem of mucin-type sequence (GAPGAPGSQGAPGLQ) derived from human COL1α1 to construct basic building blocks is reported, in which SUMO tag is added to the N-terminal of the protein as a stabilizing core. In particular, novel collagen analogs (named S1506, S1511, S1523, and S1552) with multicopy mucin-type sequences (repeated 6, 11, 23, and 52 times), which were constructed in Escherichia coli, have distinct orientation preferences of functional enhancement (including cell proliferation, differentiation, migration, antioxidant activity, and anti-inflammatory property) compared to COL1α1 in HaCaT and THP-1 cell experiments due to variant three-dimensional structures (the different-length mucin-type polypeptide chains wind around central SUMO tag). Our findings suggest that the innovative protein design and synthesis approaches employed in the construction of these novel S15 proteins have the potential to advance the development of new types of recombinant collagen analogs.

Mimicking nature to design eco-industrial parks: Exploring the influence of connectance on industrial network optimization

The accelerating exhaustion of non-renewable natural resources and the urgent need for sustainable practices have prompted the exploration of alternative methodologies in production processes. Food webs illustrate the predator-prey relationships between species in natural ecosystems, and their properties can offer valuable insights for improving economic and industrial systems, potentially leading to reduced emissions, costs, and improved process efficiency. While some food web metrics have been used for various purposes like establishing industry-nature analogies, comparing industrial networks to natural ecosystems, and configuring industrial networks, investigation of the role of the connectance metric in designing industrial networks, particularly in optimizing theoretical EIPs, is still scarce. This study investigates the role of connectance in optimizing industrial networks within eco-industrial parks, specifically focusing on the construction sector. A scenario analysis for seven conceptual eco-industrial parks serves as an illustration of how this approach can be used. The food web metric values of these eco-industrial parks are compared among themselves and against biological averages. The results reveal that maximizing connectance in eco-industrial parks is not an effective strategy for network optimization, as indicated by previous literature which points to potential instability. Instead, configurations that closely resemble natural food web metrics may provide better sustainability and efficiency if the limitations of the study are addressed, and the validity of this assumption is confirmed through quantitative tests. This study contributes theoretically by developing a guide for designing eco-industrial parks and introduces two key methodologies: based on particular criteria, a method for identifying and selecting potential future industrial symbiosis implementations targeted a sector and an innovative approach for sector-specific park design based on natural objectives and constraints, serving as a valuable decision-making tool for practitioners and policymakers.

Impact of decoupling capacitor aging and temperature for the long-term reliability of power delivery networks

Nowadays, almost all electronic systems on printed circuit boards (PCB) adopt a vital element known as the power delivery network (PDN). However, the performance of the PDN is susceptible to variables such as the temperature and aging of its key constituents: the decoupling capacitors (decaps). Consequently, the long-term reliability of the PDN demands meticulous consideration to foresee how its performance can deviate from the initial design specifications. A realistic high-current server system is considered. It involves hundreds of decaps to achieve the required target impedance as optimally selected and laid out by the Power Integrity (PI) designer. The degradation of decap performance is analyzed by collecting experimental data from tens of decaps for each type used in the design while applying an accelerated aging process at different temperatures. The impact of aging in terms of the capacitance, parasitic inductance, and resistance of the decaps is considered to illustrate an innovative methodological design approach based on statistical analysis. Such a design approach can prevent the detrimental impact of a larger noise level due to the gradual performance degradation of the PDN over the intended life cycle of the system.

Insights into Mechanistic Aspect of Organic Materials for Aluminum-Ion Batteries.

Rechargeable aluminum-ion batteries (AIBs) with organic electrode materials have garnered significant attention due to their excellent safety profile, cost-effectiveness, and eco-friendly nature. This review delves into the intrinsic attributes of organic compounds and their impact on battery performance, mainly focusing on the alteration of ion interactions and charge storage mechanisms at the active sites. The ultimate aim is to propose innovative design approaches for AIBs that overcome the constraints associated with various types of organic materials. The review also discusses the application of advanced analytical tools, providing insights to better understand the electrochemical process of AIBs.

Modeling of Parkinson's Disease Progression and Implications for Detection of Disease Modification in Treatment Trials.

Objectively measuring Parkinson's disease (PD) signs and symptoms over time is critical for the successful development of treatments aimed at halting the disease progression of people with PD. To create a clinical trial simulation tool that characterizes the natural history of PD progression and enables a data-driven design of randomized controlled studies testing potential disease-modifying treatments (DMT) in early-stage PD. Data from the Parkinson's Progression Markers Initiative (PPMI) were analyzed with nonlinear mixed-effect modeling techniques to characterize the progression of MDS-UPDRS part I (non-motor aspects of experiences of daily living), part II (motor aspects of experiences of daily living), and part III (motor signs). A clinical trial simulation tool was built from these disease models and used to predict probability of success as a function of trial design. MDS-UPDRS part III progresses approximately 3 times faster than MDS-UPDRS part II and I, with an increase of 3 versus 1 points/year. Higher amounts of symptomatic therapy is associated with slower progression of MDS-UPDRS part II and III. The modeling framework predicts that a DMT effect on MDS-UPDRS part III could precede effect on part II by approximately 2 to 3 years. Our clinical trial simulation tool predicted that in a two-year randomized controlled trial, MDS-UPDRS part III could be used to evaluate a potential novel DMT, while part II would require longer trials of a minimum duration of 3 to 5 years underscoring the need for innovative trial design approaches including novel patient-centric measures.

Innovative Sustainable Design Approaches in Urban Architecture: Balancing Aesthetics and Environmental Impact

Innovative sustainable design approaches in urban architecture play a crucial role in addressing the growing challenges of urbanization, environmental degradation, and the need for aesthetically pleasing living spaces. This study explores various sustainable design strategies, such as biophilic design, Net-Zero Energy Buildings (NZEBs), green roofs, vertical gardens, adaptive reuse, and circular economy principles, highlighting their ability to balance environmental impact with aesthetic appeal. Biophilic design integrates natural elements into urban environments, enhancing mental and physical well-being, while NZEBs focus on energy efficiency and reducing carbon footprints through renewable energy sources. Green roofs and vertical gardens provide ecological benefits, including air purification and biodiversity, while also creating visually engaging urban landscapes. Adaptive reuse and the circular economy emphasize the repurposing of existing structures and materials, promoting sustainability while preserving cultural heritage. Through a qualitative literature review, this research identifies the benefits and challenges associated with these design approaches and discusses their potential to transform urban architecture into more sustainable and livable spaces. The findings suggest that a holistic approach, integrating aesthetics and sustainability, is essential for creating urban environments that are resilient, environmentally responsible, and socially inclusive. This study provides valuable insights for architects, urban planners, and policymakers seeking to implement sustainable design principles in contemporary urban settings.

Innovative bamboo-plastic composites interfacial compatibility design approach: Self-assembled crosslinked structure of polydopamine with acylated chitin fibers

Achieving interfacial compatibility through sustainable methods is a key objective in natural fiber-plastic composites research, aimed at optimizing mechanical performance. This study introduced an innovative organic bamboo-plastic composite (BPC) interfacial layer, incorporating O-acylated chitin fibers densely coated with polydopamine (PDA) via a mild and facile self-assembly method. Chitin nanofibers were acylated with dodecenylsuccinic anhydride in a deep eutectic solvent in a one-pot process. The resulting BPCs exhibited significantly enhanced mechanical properties, with tensile strength, flexural strength, modulus, and impact strength increased by 73.64 %, 39.19 %, 15.42 %, and 63.57 %, respectively, compared to untreated BPCs. This improvement highlights the effectiveness of tailoring cross-linked networks across heterogeneous interfaces in providing strength, dissipating strain, and promoting interfacial compatibility. Furthermore, these modified BPCs demonstrated enhanced thermal stability, crystallization behavior, and moderate hydrophobicity. This surface treatment strategy offers a distinctive approach to producing high-performance, eco-friendly BPCs, also facilitating the processing and utilization of marine biological resources on a wide scale.

A novel design of compact elastomer shock absorption system to protect sensitive objects from underwater shock for naval application

This research paper proposes a unique way to safeguard delicate systems on submerged platforms from the undesirable effects of underwater explosion shock loads. The underwater detonation of an explosive charge and mines produce devastating underwater shocks against underwater platforms. Shock load developed underwater has been analyzed, and a shock response spectrum (SRS) approach to compute shock peak responses has been adopted. SRS shock absorption frequency satisfies requirements for both shock absorption and delicate systems. The shock load was reduced to 2g by altering the delicate system stiffness and damping properties. The analytical model for a single DOF system was formulated, and simulation was carried out using ANSYS solver. The stiffness has been spread across various points along the length of the delicate system, allowing it to undergo translational oscillations when subjected to shock loads. This research paper presents an innovative design approach for a shock absorption system intended for underwater sensitive objects, emphasizing simplicity, distinctiveness, compactness, reliability, and electromagnetic compatibility. Experimental testing validated the shock absorption design on the prototype. Shock testing determined the absorber’s maximum displacement and sensitive object acceleration.

From filler to structure: Designing 3D-printable silicone elastomers with broadband electromagnetic interference shielding

Material extrusion has revolutionized the fabrication of silicone elastomers with intricate and customized structures. However, the trade-off between the ink printability and functional filler compounding impedes the advancement of 3D-printed silicone elastomers for applications such as electromagnetic interference (EMI) shielding and thermal management. In this study, we present a novel approach to fabricating functional silicone elastomers, focusing on the design of fillers, inks and structures. Ink printability was achieved by modified nanosheets, which conferred the thixotropy and self-support capacity to inks by constructing dynamic interfacial interactions within the silicone matrix. Additionally, modified nanosheets exhibited a “lubricating” effect under high shear rates owing to their layered structure, thereby facilitating a smooth extrusion process. Utilizing EMI shielding simulations of periodic porous structures as a guide, we successfully printed broadband EMI shielding silicone elastomers. Furthermore, the versatility of our approach was demonstrated through the creation of customized 3D-printed shielding boxes and wearable thermal management films, showcasing the diverse potential applications of the 3D-printed silicone elastomers. We anticipate that our innovative design approach will bridge the gap between functional elastomers and 3D printing technology, opening up new avenues for their applications in various fields.

Designing high-performance ion-exchangeable glasses with multi-objective optimization and machine learning

Ion exchange typically involves replacing smaller ions with larger ions below the glass transition temperature. This study introduces an innovative computational approach for the inverse design of ion-exchangeable glasses. It aims to simultaneously achieve high depth of layer (DOL) and surface compressive stress (CS), a task complicated by the inherent trade-offs between these properties. Traditional ion exchange experimental methods are not only time-consuming and expensive, but they also involve complex practical difficulties. Addressing these challenges, this paper introduces a novel computational approach that synergistically combines a multi-objective genetic algorithm with machine learning models. The approach involves training models on a diverse set of glass compositions to predict DOL and CS, which then guide an evolutionary algorithm to optimize these properties concurrently. Physics-informed parameters further refine the search, enabling a flexible design framework in glass manufacturing. Comprehensive experimentation and subsequent analysis affirm the proposed method's capacity to efficiently and effectively traverse the intricate design landscape of glass materials. The findings elucidated the influence of distinct compositional and process parameters on DOL and CS, facilitating the manual design process. Additionally, the study identified sixteen glass composition candidates within the SiO2–B2O3–Al2O3–MgO–Na2O system, exhibiting remarkable properties. Specifically, some compositions achieved a DOL of up to 95 μm with a corresponding CS of 890 MPa, while others attained a CS of up to 1654 MPa with a DOL of 14.72 μm.

Voltage‐controlled attenuator based on PIN diode and compensated gold wire inductors

AbstractThis paper proposes an innovative design approach for a voltage‐controlled (variable) attenuator that allows continuous control of attenuation through analog voltage. Different from fixed attenuators, this work employs PIN diodes and compensated gold wire inductors to configure the attenuation network. It is based in imperfect matching theory, ensuring to obtain the acceptable S‐parameters over the operating band. Measurement results demonstrate effective performance of the attenuator within the voltage range of 0.7–1.03 V. Return losses of the attenuator are all better than 15 dB in the operating range of 10.5–19 GHz. The insertion losses exhibit continuous variation from 2 to 15 dB, requiring only a single controlled voltage to adjust the attenuation value.

Multiple Self-Avatar Effect: Effects of Using Diverse Self-Avatars on Memory Acquisition and Retention of Sign-Language Gestures.

This study proposes a new learning method that employs multiple embodied self-avatars during learning, to use the potential benefit of virtual reality (VR) for effective learning and training. In this study, by taking advantage of the benefit of virtual reality (VR), we propose a new learning method that employs multiple embodied self-avatars during learning. Based on the multiple-context effect, which posits that learning in diverse situations can prevent forgetting and enhance memory retention, we conducted a between-participants study under two conditions: the varied avatar condition, in which participants learned sign languages with different self-avatars in six iterations, and the constant avatar condition, in which the same self-avatar was used consistently. We employed sign language as a learning material that naturally draws attention to self-avatars and is suitable for investigating the effects of varying self-avatars. Initially, the varied avatar condition performed worse than the constant avatar condition. However, in a test conducted after one week in the real world, the varied avatar condition showed significantly less forgetting and better retention than the constant avatar condition. Furthermore, our results suggested a positive correlation between the degree of embodiment toward the avatars and the effectiveness of the proposed method. This study presents an innovative design approach for the use of self-avatars in VR-based education.

Design and Evaluation of Packaging Art Based on Sentimental Value Calculation and Clustering

This paper introduces the cultural dimension of product packaging, elucidates the quantification principle and methodology governing customer aesthetic experiences, propounds an innovative packaging style design approach, and presents an evaluation model based on an enhanced neural network. Using tea packaging design as an illustrative case, the methodology initially aligns adjectives, subsequently computes the emotional depth value, and ultimately derives the corresponding correlation between customer emotional experiences and design elements through a neural network. Subsequently, the designed model is validated using tea packaging design as a practical example. The outcomes demonstrate the model's accuracy and efficacy in establishing the mapping between design elements and aesthetic experiences, offering novel insights for the evolution of packaging design in the contemporary market landscape.

Tailored Postsynthetic Nitration of a Hypercrosslinked Polymer for Single-Step Ethylene Purification from a Ternary C2 Gas Mixture.

Purifying C2H4 from a ternary C2H2/C2H4/C2H6 mixture poses a substantial industrial challenge due to their close physical and chemical properties. In this study, we introduce an innovative design approach to regulate and optimize the nitration degree of a hypercrosslinked polymer to achieve targeted separation performance. We synthesized a porous organic polymer (HCP) using the solvent knitting method and carried out its postsynthetic nitration, resulting in HCP-NO2-1 and HCP-NO2-2 with different nitration degrees. Notably, the adsorption capacity shifted from C2H6 > C2H4 ≈ C2H2 for HCP to C2H2 > C2H6 > C2H4 for HCP-NO2-1 and to C2H2 > C2H4 ≈ C2H6 for HCP-NO2-2, demonstrating the controllable nature of the separation process via the polar nitro group insertion. Remarkably, HCP-NO2-1 exhibited a desirable, selective separation of C2H4 from the C2H6/C2H4/C2H2 mixture thanks to an exquisite combination of the acidic proton-polar nitro group and nonpolar C-H∙∙∙π interactions. Separation capability was further corroborated by computational simulations and breakthrough tests. This work marks a significant advancement as the first successful postsynthetic functionalization strategy for C2H4 purification from a ternary gas mixture among porous organic polymers.