{"title":"A New Conceptual Design of Twisting Morphing Wing.","authors":"Noppawit Kumkam, Napat Suratemeekul, Suwin Sleesongsom","doi":"10.3390/biomimetics10020110","DOIUrl":"10.3390/biomimetics10020110","url":null,"abstract":"<p><p>This research aims to enhance the performance of unmanned aerial vehicles (UAVs) by investigating the impact of twisting wingtip (TWT) on UAVs' wing aeroelastic and structural behavior using MATLAB and ANSYS simulations. The study focuses on a simplified twisting wingtip design and its aeroelastic effect. This study includes both static and dynamic aeroelastic phenomena. Previous research has primarily focused on only flutter speed while neglecting divergence speed and lift-effectiveness in design results. Numerical and experimental validation underscores the model's fidelity and its practical applicability. The TWT is designed to exhibit a predominant torsional mode using a guide mode preference technique. The design results reveal that the twist morphing wing improves structural and aeroelastic performance due to its unique twisting deformation capabilities. Furthermore, this research contributes fundamental insights into a specific twist morphing wing concept, highlighting its potential to enhance UAV performance through twisting wingtip technologies. The torsional mode can be predetermined using the guide mode preference technique. Notably, the divergence speed analysis confirms that the twisting shaft position should not exceed the aerodynamic center, which is located at 0.2103 of the chord length. This serves as the theoretical foundation for the TWT design in this study. The adjustment of the TWT's twisting angle is confirmed to provide optimal divergence speed improvement within a range of 0% to 27.7%. Additionally, the relative aeroelastic efficiencies indicate that the highest lift effectiveness is 0.68% at a twisting angle of 30°, following an exponential relationship, which can be further extended to aircraft control laws. However, the relative efficiency of flutter speed is not significantly improved by the TWT, showing only a marginal improvement of 0% to 1.84% when twisting up and down, in accordance with previous research findings.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853573/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020111
Ze Bian, Yufei Zhang, Huan Lin, Yuan Zhu, Jie Zhang
{"title":"Integrating Sustainability into Biologically Inspired Design: A Systematic Evaluation Model.","authors":"Ze Bian, Yufei Zhang, Huan Lin, Yuan Zhu, Jie Zhang","doi":"10.3390/biomimetics10020111","DOIUrl":"10.3390/biomimetics10020111","url":null,"abstract":"<p><p>Biologically inspired product design (BIPD) inherently encompasses the concept of sustainability. It acquires inspiration from natural organisms, and the references in aspects such as form, structure, and function typically contribute to efficient resource utilization and environmentally friendly coexistence. However, past studies have mainly evaluated from the perspective of designers and researchers, which is relatively subjective. It is difficult to meet the real needs of industry and market. At the same time, the method of establishing indicators is not scientific enough, and the importance of indicators is not ranked. This research integrates the concept of sustainable design into the BIPD evaluation system, comprehensively considering the evaluation indices of different stakeholders such as sustainable designers, industrial designers, and users and decision-makers of design companies. By employing the analytic hierarchy process, a complete and systematic evaluation index model is constructed. This model can comprehensively and accurately screen and evaluate design proposals during the conceptual design stage of BIPD. Through this approach, it effectively averts resource waste caused by incorrect decisions in the production process, optimizes resource allocation, meets user requirements and vigorously promotes the sustainable development of BIPD throughout its entire life cycle.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852641/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020106
S M U S Samarakoon, H M K K M B Herath, S L P Yasakethu, Dileepa Fernando, Nuwan Madusanka, Myunggi Yi, Byeong-Il Lee
{"title":"Long Short-Term Memory-Enabled Electromyography-Controlled Adaptive Wearable Robotic Exoskeleton for Upper Arm Rehabilitation.","authors":"S M U S Samarakoon, H M K K M B Herath, S L P Yasakethu, Dileepa Fernando, Nuwan Madusanka, Myunggi Yi, Byeong-Il Lee","doi":"10.3390/biomimetics10020106","DOIUrl":"10.3390/biomimetics10020106","url":null,"abstract":"<p><p>Restoring strength, function, and mobility following an illness, accident, or surgery is the primary goal of upper arm rehabilitation. Exoskeletons offer adaptable support, enhancing patient engagement and accelerating recovery. This work proposes an adjustable, wearable robotic exoskeleton powered by electromyography (EMG) data for upper arm rehabilitation. Three activation levels-low, medium, and high-were applied to the EMG data to forecast the Pulse Width Modulation (PWM) based on the range of motion (ROM) angle. Conventional machine learning (ML) models, including K-Nearest Neighbor Regression (K-NNR), Support Vector Regression (SVR), and Random Forest Regression (RFR), were compared with neural network approaches, including Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) to determine the best ML model for the ROM angle prediction. The LSTM model emerged as the best predictor with a high accuracy of 0.96. The system achieved 0.89 accuracy in exoskeleton control and 0.85 accuracy in signal categorization. Additionally, the proposed exoskeleton demonstrated a 0.97 performance in ROM correction compared to conventional methods (<i>p</i> = 0.097). These findings highlight the potential of EMG-based, LSTM-enabled exoskeleton systems to deliver accurate and adaptive upper arm rehabilitation, particularly for senior citizens, by providing personalized and effective support.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852623/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020107
Taylor Bader, Kyle Boone, Chris Johnson, Cindy L Berrie, Candan Tamerler
{"title":"Probing Solid-Binding Peptide Self-Assembly Kinetics Using a Frequency Response Cooperativity Model.","authors":"Taylor Bader, Kyle Boone, Chris Johnson, Cindy L Berrie, Candan Tamerler","doi":"10.3390/biomimetics10020107","DOIUrl":"10.3390/biomimetics10020107","url":null,"abstract":"<p><p>Biomolecular adsorption has great significance in medical, environmental, and technological processes. Understanding adsorption equilibrium and binding kinetics is essential for advanced process implementation. This requires identifying intrinsic determinants that predict optimal adsorption properties at bio-hybrid interfaces. Solid-binding peptides (SBPs) have targetable intrinsic properties involving peptide-peptide and peptide-solid interactions, which result in high-affinity material-selective binding. Atomic force microscopy investigations confirmed this complex interplay of multi-step peptide assemblies in a cooperative modus. Yet, most studies report adsorption properties of SBPs using non-cooperative or single-step adsorption models. Using non-cooperative kinetic models for predicting cooperative self-assembly behavior creates an oversimplified view of peptide adsorption, restricting implementing SBPs beyond their current use. To address these limitations and provide insight into surface-level events during self-assembly, a novel method, the Frequency Response Cooperativity model, was developed. This model iteratively fits adsorption data through spectral analysis of several time-dependent kinetic parameters. The model, applied to a widely used gold-binding peptide data obtained using a quartz crystal microbalance with dissipation, verified multi-step assembly. Peak deconvolution of spectral plots revealed distinct differences in the size and distribution of the kinetic rates present during adsorption across the concentrations. This approach provides new fundamental insights into the intricate dynamics of self-assembly of biomolecules on surfaces.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020105
Carlos A Jurado, Jose Villalobos-Tinoco, Daniel Alejandro Montealvan-Aguilar, Silvia Rojas-Rueda, Kiarash Karimi, Nicholas G Fischer
{"title":"Achieving Optimal Esthetics with Immediate Implants and Veneers in the Smile Zone: A Case Study.","authors":"Carlos A Jurado, Jose Villalobos-Tinoco, Daniel Alejandro Montealvan-Aguilar, Silvia Rojas-Rueda, Kiarash Karimi, Nicholas G Fischer","doi":"10.3390/biomimetics10020105","DOIUrl":"10.3390/biomimetics10020105","url":null,"abstract":"<p><strong>Background: </strong>This case report outlines the clinical workflows for immediate implant placement for both maxillary central incisors and ceramic laminate veneers for the remaining teeth in the smile zone.</p><p><strong>Methods: </strong>The patient's chief complaint was to improve her smile and address periapical infections with purulent exudate at the apex of her central incisors. Clinical and CBCT evaluations determined that the maxillary central incisors were non-restorable, while the lateral incisors and canines showed signs of incisal wear. Atraumatic extractions were performed for the central incisors, and immediate implants were placed with a 3D-printed surgical guide in conjunction with an autogenous soft tissue grafting procedure. Once the soft tissue between the central incisors was contoured with provisional implant restorations, minimally invasive veneer preparations were performed for porcelain laminate veneers. Final restorations were bonded under dental dam isolation.</p><p><strong>Results: </strong>Single immediate implants for maxillary central incisors can be successfully paired with ceramic laminate veneers on adjacent teeth in the smile zone to replace non-restorable teeth in the esthetic zone.</p><p><strong>Conclusions: </strong>Atraumatic tooth extraction, 3D implant planning with grafting procedures, and minimally invasive ceramic veneers can help in meeting patients' esthetic and functional expectations. Total isolation using a dental dam maximizes the bonding performance of ceramic restorations.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unmanned-Aerial-Vehicle Trajectory Planning for Reliable Edge Data Collection in Complex Environments.","authors":"Zhengzhe Xiang, Fuli Ying, Xizi Xue, Xiaorui Peng, Yufei Zhang","doi":"10.3390/biomimetics10020109","DOIUrl":"10.3390/biomimetics10020109","url":null,"abstract":"<p><p>With the rapid advancement of edge-computing technology, more computing tasks are moving from traditional cloud platforms to edge nodes. This shift imposes challenges on efficiently handling the substantial data generated at the edge, especially in extreme scenarios, where conventional data collection methods face limitations. UAVs have emerged as a promising solution for overcoming these challenges by facilitating data collection and transmission in various environments. However, existing UAV trajectory optimization algorithms often overlook the critical factor of the battery capacity, leading to potential mission failures or safety risks. In this paper, we propose a trajectory planning approach Hyperion that incorporates charging considerations and employs a greedy strategy for decision-making to optimize the trajectory length and energy consumption. By ensuring the UAV's ability to return to the charging station after data collection, our method enhances task reliability and UAV adaptability in complex environments.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020104
Dabing Peng, Junfeng Cai, Lu Zheng, Minghong Li, Ling Nie, Zuojin Li
{"title":"A Novel Neural Network Model Based on Real Mountain Road Data for Driver Fatigue Detection.","authors":"Dabing Peng, Junfeng Cai, Lu Zheng, Minghong Li, Ling Nie, Zuojin Li","doi":"10.3390/biomimetics10020104","DOIUrl":"10.3390/biomimetics10020104","url":null,"abstract":"<p><p>Mountainous roads are severely affected by environmental factors such as insufficient lighting and shadows from tree branches, which complicates the detection of drivers' facial features and the determination of fatigue states. An improved method for recognizing driver fatigue states on mountainous roads using the YOLOv5 neural network is proposed. Initially, modules from Deformable Convolutional Networks (DCNs) are integrated into the feature extraction stage of the YOLOv5 framework to improve the model's flexibility in recognizing facial characteristics and handling postural changes. Subsequently, a Triplet Attention (TA) mechanism is embedded within the YOLOv5 network to bolster image noise suppression and improve the network's robustness in recognition. Finally, the Wing loss function is introduced into the YOLOv5 model to heighten the sensitivity to micro-features and enhance the network's capability to capture details. Experimental results demonstrate that the modified YOLOv5 neural network achieves an average accuracy rate of 85% in recognizing driver fatigue states.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-12DOI: 10.3390/biomimetics10020108
Hye-Min Lee, Hanjun Ryu
{"title":"Bioresorbable Materials for Wound Management.","authors":"Hye-Min Lee, Hanjun Ryu","doi":"10.3390/biomimetics10020108","DOIUrl":"10.3390/biomimetics10020108","url":null,"abstract":"<p><p>Chronic wounds pose a significant healthcare challenge due to their risk of severe complications, necessitating effective management strategies. Bioresorbable materials have emerged as an innovative solution, offering advantages such as eliminating the need for secondary surgical removal, reducing infection risks, and enabling time-delayed drug delivery. This review examines recent advancements in bioresorbable wound healing materials, focusing on a systematic review of bioresorbable materials, systems incorporating electrical stimulation, and drug delivery technologies to accelerate tissue repair. The discussion encompasses the fundamental principles of bioresorbable materials, including their resorption mechanisms and key properties, alongside preclinical applications that demonstrate their practical potential. Critical challenges impeding widespread adoption are addressed, and prospects for integrating these cutting-edge systems into clinical practice are outlined. Together, these insights underscore the promise of bioresorbable materials in revolutionizing chronic wound care.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852938/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-11DOI: 10.3390/biomimetics10020102
Diana A Chen, Melissa M Gibbons
{"title":"Bio-Inspired Sutures: Localizing Damage by Isolating Strain Energy.","authors":"Diana A Chen, Melissa M Gibbons","doi":"10.3390/biomimetics10020102","DOIUrl":"10.3390/biomimetics10020102","url":null,"abstract":"<p><p>This study draws upon bio-inspiration from anatomical sutures found in hard structures, such as turtle shells, to explore if impact energy can be dissipated through geometric parameterization rather than relying on energy-absorbing materials. While previous finite element analysis studies identified optimal dovetail suture geometries for maximizing the global stiffness and toughness of archway structures, this paper explores how different suture geometries might optimize localization effects through segmentation to isolate damage caused by the propagation of strain energy. We compare the global toughness of each suture geometry to its scaling factor, defined as the ratio of strain energy in the center segment(s) of the archway over the total strain energy absorbed during deformation, normalized by the expected strain energy consistent with uniform volumetric distribution. Our findings indicate that the scaling factor tended to correlate positively with global toughness, suggesting that suture geometries that performed well globally would also exhibit the localization effect. However, there is some nuance in selecting suture geometries that perform well for both metrics, as well as ensuring that geometries that perform well for one type of segmentation are still structurally sound in others, due to little control over where impact may occur, relative to the location of a suture, in real scenarios.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BiomimeticsPub Date : 2025-02-11DOI: 10.3390/biomimetics10020103
Zeyu Yan, Zhongxue Gan, Gaoxiong Lu, Junxiu Liu, Wei Li
{"title":"Learning from Demonstrations via Deformable Residual Multi-Attention Domain-Adaptive Meta-Learning.","authors":"Zeyu Yan, Zhongxue Gan, Gaoxiong Lu, Junxiu Liu, Wei Li","doi":"10.3390/biomimetics10020103","DOIUrl":"10.3390/biomimetics10020103","url":null,"abstract":"<p><p>In recent years, the fields of one-shot and few-shot object detection and classification have garnered significant attention. However, the rapid adaptation of robots to previously unencountered or novel environments remains a formidable challenge. Inspired by biological learning processes, meta-learning seeks to replicate the way humans and animals quickly adapt to new tasks by leveraging prior knowledge and generalizing across experiences. Despite this, traditional meta-learning methods that rely on deepening or widening neural networks offer only marginal improvements in model performance. To address this, we proposed a novel framework termed Residual Multi-Attention Domain-Adaptive Meta-Learning (DRMA-DAML). Our framework, motivated by biological principles like the human visual system's concurrent handling of global and local details for enhanced perception and decision making, empowers the model to significantly enhance performance without augmenting the depth of the neural network, thus avoiding the overfitting and vanishing gradient problems typical of deeper architectures. Empirical evidence from both simulated environments and real-world applications demonstrates that DRMA-DAML achieves state-of-the-art performance. Specifically, it improves adaptation accuracy by 11.18% on benchmark tasks and achieves a 97.64% success rate in real-world object manipulation, surpassing existing methods. These results validate the effectiveness of our approach in rapid adaptation for robotic systems.</p>","PeriodicalId":8907,"journal":{"name":"Biomimetics","volume":"10 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143490556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}