Nature Of Interactions Research Articles

4′–phenyl −2, 2′: 6′, 2′’-terpyridine derivatives as metal chemosensors. Chelation and fluorescence capabilities towards Zn(II), Cd(II), and Hg(II) from experiment and theory

4′-phenylterpyridine (TPY) involves four conjugated rings, leading to a multi-resonant chromophore with exceptional luminescent features. Further functionalization of the 4′-phenyl moiety enables a versatile set of chemosensors. In the series, the optical transitions remain similar, where λmax ranges from 253 to 269 nm, with emissions from 357 to 365 nm. Calculations of the natural transition orbitals NTOs deliver the localized hole-electron densities, indicating that the electronic transitions vary as a local-excitation (LE), charge transfer (CT), and mixed LE-CT along with the set. We employ the energy decomposition analysis to evaluate the possible coordination toward Zn(II), Cd(II), and Hg(II) cations, showing a favorable formation of complexes, where the interaction nature exhibits a ∼ 49 and ∼ 50 % electrostatic and orbital character for the Zn(II), Cd(II) and Hg(II) centers. Furthermore, the density deformation channels confer an explicit picture of the bonding scheme, denoting π- and σ-bonding contributions.

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation

Acquiring reviewers for academic submissions is a challenging recommendation scenario. Recent graph learning-driven models have made remarkable progress in the field of recommendation, but their performance in the academic reviewer recommendation task may suffer from a significant false negative issue. This arises from the assumption that unobserved edges represent negative samples. In fact, the mechanism of anonymous review results in inadequate exposure of interactions between reviewers and submissions, leading to a higher number of unobserved interactions compared to those caused by reviewers declining to participate. Therefore, investigating how to better comprehend the negative labeling of unobserved interactions in academic reviewer recommendations is a significant challenge. This study aims to tackle the ambiguous nature of unobserved interactions in academic reviewer recommendations. Specifically, we propose an unsupervised Pseudo Neg-Label strategy to enhance graph contrastive learning (GCL) for recommending reviewers for academic submissions, which we call RevGNN. RevGNN utilizes a two-stage encoder structure that encodes both scientific knowledge and behavior using Pseudo Neg-Label to approximate review preference. Extensive experiments on three real-world datasets demonstrate that RevGNN outperforms all baselines across four metrics. Additionally, detailed further analyses confirm the effectiveness of each component in RevGNN.

Exploring the underlying mechanism of interaction of Sulindac with Human hemoglobin and Lysozyme: Multi-spectroscopic, molecular docking, DFT and MD simulation approaches

Contrasting behavior of Nonsteroidal anti-inflammatory drug Sulindac (SDC) towards two different proteins Human hemoglobin (HHb) and Lysozyme (LYS) has been explored by multispectroscopy, molecular docking, DFT and MD Simulation approaches. The fluorescence quenching experiments showed that SDC strongly binds with both proteins in a static manner. Alteration in the secondary structure of HHb and LYS in presence of SDC was further investigated by CD and UV–visible spectroscopy. It is observed that on addition of SDC, the % α-helix of native HHb decreases whereas it increases for LYS-SDC system substantiated the fact SDC stabilized the secondary structure of LYS and destabilized the HHb structure thus, showing the contrasting traits. Experimental results further validated by computational techniques. Molecular docking and DFT were conducted to study the binding sites, nature of interactions and HOMO-LUMO energy gap in both the systems which revealed that the binding of SDC with both proteins resulted in the considerable change in the molecular structure of the former. Additionally, we performed MD simulations to study the structural stability of Lysozyme and Hemoglobin, both unbound and bound to the Sulindac molecule. Sulindac binding showed distinct impacts on protein stability in both proteins, supported by global and essential dynamics.This study not only provides important insights into the binding of SDC with HHb and LYS but also it provides a useful direction in the pharmacology and clinical medicine fields.

Nature-engagement and wellbeing in Brazil: Understanding the dose-effect relationship for designing urban green spaces

Statement of problemIn the face of increasing urbanization, the pursuit of healthy and sustainable cities promoting a high quality of life intertwined with nature is paramount. PurposeThis research endeavors to assess the impact of variations in nature interaction styles on health, with the objective of generating evidence to inform the design of urban green spaces. MethodEthically approved by the Human Research Ethics Committee (CAAE 58149622.3.0000.0077), a survey involving 2136 respondents was conducted. Participants reported their nature engagement frequency, duration, and intensity, alongside mental health assessments using the Depression, Anxiety, and Stress Scale (DASS-21). Welch's ANOVA and Cohen’s d were employed to derive meaningful effect size. ConclusionsThis research provided empirical insights into the relationship between nature interaction and public health, thus offering evidence to inform urban green space design. Practical implicationsThe findings are expected to empower urban planners and policymakers with evidence-based strategies for creating urban green spaces conducive to physical activities, leisure events, and nature-based recreation, promoting public health through appropriately timed and frequented activities. Future directionsFurther research avenues may include longitudinal studies to assess the long-term impact of nature interaction on mental health and the implementation of evidence-based design strategies in urban green space development.

Delivering sustainable development via social innovation: Cases of social entrepreneurship in South Korea and Singapore

AbstractSocial innovation is a useful mechanism to address unmet needs in local societies and tackle wicked problems through innovative products and services. Policymakers and practitioners have increasingly become interested in effective policies and strategies for facilitating social innovation to deliver sustainable development; however, a lack of coherent analytical framework persists. To address this gap, we propose the Social Innovation System framework, by adapting the Technological Innovation Systems approach widely used in innovation management and policy. Providing a holistic and comprehensive perspective to explore complex interactions among different actors and institutions involved in social innovation, our framework allows more systematic understanding of the development of social entrepreneurship and relevant ecosystems. We employ this framework to analyze social innovation ecosystems in South Korea and Singapore. The results indicate systemic challenges to overcome owing to the collective and interactive nature of social innovation.

Community, solidarity and care through data? An ethical analysis of the interpersonal dimension of self-tracking

AbstractThis paper discusses the interpersonal dimension of self-tracking technologies from the standpoint of Dewey’s pragmatist ethics. Users of self-tracking routinely exchange data with others, interact through social features embedded in their tools, and form communities focused on the sharing and discussion of data. I employ Dewey’s notion of transaction to discuss how self-quantification impacts users’ perception of others and how it mediates interpersonal relations. In Dewey’s ethics engagement with others is a fundamental part of moral life and individual flourishing can only be achieved in social contexts and through the extension of care towards other people. The ethical ideals and epistemic concepts present in pragmatism allow me to argue that despite claims that self-tracking technologies lead to the formation of communities, pro-social instincts exist prior to the adoption of the devices and self-tracking actually inhibits the formation of mutually uplifting social bonds. In my discussion, I focus on the degree of epistemic distance that makes genuine engagement with others difficult, limits to transactional agency that prohibits users from deciding how they are perceived by others, and the reductive and instrumental nature of interactions embedded in the social features of self-tracking technologies. Moreover, I also analyse some political aspects of community-formation in the context of self-quantification and criticise the ownership structures of data and infrastructure that limit communities’ political agency.

Phosphorylation-induced flexibility of proto-oncogenic Bcl3 regulates transcriptional activation by NF-κB p52 homodimer.

The overexpression of proto-oncogene Bcl3 is observed in various cancers. Bcl3 is extensively phosphorylated and associates with homodimers of NF-κB p50 and p52 to regulate transcription. Through cellular and biochemical assays, we observed that phospho-mimetic Glu substitution at Ser366 in addition to previously studied Ser33, 114 and 446 is necessary to switch Bcl3 from an IκB-like inhibitor to a transcriptional activator. To study interactive features of p52 and Bcl3, and phosphorylation- mediated changes in Bcl3 that regulate DNA-binding by p52, we performed HDX-MS of both Bcl3 and p52 within various complexes. Nature of interactions within Bcl3:(p52:p52) complex in presence and absence of DNA, differential flexibility of Bcl3, and allosteric changes in Bcl3 upon phospho-modifications revealed why a facile accommodation of DNA requires phosphorylation. The inhibitory nature of unphosphorylated Bcl3 on DNA binding by p52:p52 also relieved by a C-terminal deletion of Bcl3. Overall, this study revealed mechanistic bases of how Bcl3 phosphorylation regulates transcriptional potential of NF-κB and intricate cell physiology, a dysregulation of which can lead to cancers.

Anthropic cut marks in extinct megafauna bones from the Pampean region (Argentina) at the last glacial maximum.

The initial peopling of South America is a topic of intense archaeological debate. Among the most contentious issues remain the nature of the human-megafauna interaction and the possible role of humans, along with climatic change, in the extinction of several megamammal genera at the end of the Pleistocene. In this study, we present the analysis of fossil remains with cutmarks belonging to a specimen of Neosclerocalyptus (Xenarthra, Glyptodontidae), found on the banks of the Reconquista River, northeast of the Pampean region (Argentina), whose AMS 14C dating corresponds to the Last Glacial Maximum (21,090-20,811 cal YBP). Paleoenvironmental reconstructions, stratigraphic descriptions, absolute chronological dating of bone materials, and deposits suggest a relatively rapid burial event of the bone assemblage in a semi-dry climate during a wet season. Quantitative and qualitative analyses of the cut marks, reconstruction of butchering sequences, and assessments of the possible agents involved in the observed bone surface modifications indicate anthropic activities. Our results provide new elements for discussing the earliest peopling of southern South America and specifically for the interaction between humans and local megafauna in the Pampean region during the Last Glacial Maximum.

Multimedia Human-Computer Interaction Technology in Preschool Education

With the increasing of computing and network technology, there has been a rise in children's educational and entertainment software. However, these software applications depend on mouse and keyboard input, which may be tedious and challenging for children. Moreover, these applications fail to capture the interaction between users and computers. This study proposes design principles for children's human-computer interaction based on children's cognitive, psychological, and physiological attributes, and outlines a framework accordingly. The framework integrates natural human-computer interaction technologies, such as physical operation interface, gesture interaction, low-level semantics-based human-computer interaction, and high-level semantics-based human-computer interaction, with the aim of facilitating seamless and intuitive interaction between children and computers. Finally, the results demonstrating the feasibility and effectiveness of the proposed human-computer interaction technology as a child-centered virtual reality application tool.

Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging.

Cardiovascular disease (CVD) is a major cause of mortality worldwide, especially in resource-limited countries with limited access to healthcare resources. Early detection and accurate imaging are vital for managing CVD, emphasizing the significance of patient education. Generative artificial intelligence (AI), including algorithms to synthesize text, speech, images, and combinations thereof given a specific scenario or prompt, offers promising solutions for enhancing patient education. By combining vision and language models, generative AI enables personalized multimedia content generation through natural language interactions, benefiting patient education in cardiovascular imaging. Simulations, chat-based interactions, and voice-based interfaces can enhance accessibility, especially in resource-limited settings. Despite its potential benefits, implementing generative AI in resource-limited countries faces challenges like data quality, infrastructure limitations, and ethical considerations. Addressing these issues is crucial for successful adoption. Ethical challenges related to data privacy and accuracy must also be overcome to ensure better patient understanding, treatment adherence, and improved healthcare outcomes. Continued research, innovation, and collaboration in generative AI have the potential to revolutionize patient education. This can empower patients to make informed decisions about their cardiovascular health, ultimately improving healthcare outcomes in resource-limited settings.

The Role of Play in the Social Development of Grey Seal (Halichoerus grypus) Pups with Comparative Notes on the Harbour Seal (Phoca vitulina).

Juvenile grey seals are known to be highly social, interacting with contact behaviours interpreted as gentle play. However, minimal sociality of pups with their mothers and among weaned pups has been suggested. The present study aimed to observe the natural social interactions of pups to track the early ontogeny of their sociality. Pup behaviour at a salt marsh colony on the east coast of England was video-recorded. Pups interacted with their mothers around suckling bouts and after weaning as they gathered around pools. The records were transcribed to spreadsheets in 30 s time segments to estimate the frequency and co-occurrence of different behaviours. Mother-pup interaction comprised nosing contacts and sometimes contact play, involving one laying the head and fore-flipper over the other. Initial weaned pup encounters involved tentative nosing and defensive splashing, indicating contact shyness. However, socially orientated locomotor play, supine posturing, and exaggerated raising of fore- and hind-flippers led to reduced shyness and pups following one another towards the sea. Archive data on subadult interactions and on harbour seal behaviours were re-analysed. Gentle play-like contact between mother-pup, juvenile, and adult pairs is interpreted here as a universal mode of social bonding, underscoring the social structure of both grey and harbour seals.

Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task.

Introduction: In this work we explore a potential approach to improve human-robot collaboration experience by adapting cobot behavior based on natural cues from the operator. Methods: Inspired by the literature on human-human interactions, we conducted a wizard-of-oz study to examine whether a gaze towards the cobot can serve as a trigger for initiating joint activities in collaborative sessions. In this study, 37 participants engaged in an assembly task while their gaze behavior was analyzed. We employed a gaze-based attention recognition model to identify when the participants look at the cobot. Results: Our results indicate that in most cases (83.74%), the joint activity is preceded by a gaze towards the cobot. Furthermore, during the entire assembly cycle, the participants tend to look at the cobot mostly around the time of the joint activity. Given the above results, a fully integrated system triggering joint action only when the gaze is directed towards the cobot was piloted with 10 volunteers, of which one characterized by high-functioning Autism Spectrum Disorder. Even though they had never interacted with the robot and did not know about the gaze-based triggering system, most of them successfully collaborated with the cobot and reported a smooth and natural interaction experience. Discussion: To the best of our knowledge, this is the first study to analyze the natural gaze behavior of participants working on a joint activity with a robot during a collaborative assembly task and to attempt the full integration of an automated gaze-based triggering system.

Joining SUMO and Unreal Engine to Create a Bespoke 360 Degree Narrow Passage Driving Simulator

The use of simulators is widespread in driver behavioural research. The ability of driving simulators to achieve the high levels of behavioural fidelity desired by behavioural researchers is argued to be resultant of the physical fidelity of the simulator. Whilst attempts to maximise the physical fidelity of simulators have often been focused on the hardware capabilities of the simulator, the software of the simulator has been argued to be as important. This is because the software of a simulator controls the intelligence and the heterogeneity of the behaviours of the simulated vehicles, as well as the quality of the graphics of the simulation. Despite the importance of intelligent simulated agents, previous driving simulator studies have tended to simplify the behaviours of simulated vehicles and the scenarios that are presented to participants. This is particularly true of simulator studies investigating the decision-making of drivers at narrow passages, a relatively unregulated but hazardous situation in which two opposing vehicles must negotiate how to safely pass through a road narrowing, in which the interactive nature of the interaction has often been neglected. Following a review of the requirements for a representative narrow passage driving simulator, it is argued that co-simulation, an approach which combines multiple simulator types to create a global simulation, provides the best approach to creating intelligent simulated agents within an immersive environment for narrow passage behavioural research. As such, the development of a simulator for narrow passage behavioural research that combines SUMO and Unreal Engine is described. In particular, the development of a novel narrow passage behavioural model within SUMO that utilises previous behavioural findings is highlighted. To this end, it is argued that this approach facilitates higher levels of behavioural fidelity for narrow passage interaction studies and provides a framework for the investigation of other driver behaviours.

Is the glassy dynamics same in 2D as in 3D? The Adam Gibbs relation test.

It has been recognized of late that even amorphous, glass-forming materials in two dimensions (2D) are affected by Mermin-Wagner-type long wavelength thermal fluctuation, which is inconsequential in three dimensions (3D). We consider the question of whether the effect of spatial dimension on dynamics is only limited to such fluctuations or if the nature of glassy dynamics is intrinsically different in 2D. To address it, we study the relationship between dynamics and thermodynamics using the Adam-Gibbs (AG) relation and the random first order transition (RFOT) theory. Using two model glass-forming liquids, we find that even after removing the effect of long wavelength fluctuations, the AG relation breaks down in two dimensions. Next, we consider the effect of anharmonicity of vibrational entropy-a second factor that affects the thermodynamics but not dynamics. Using the potential energy landscape formalism, we explicitly compute the configurational entropy, both with and without the anharmonic correction. We show that even with both the corrections, the AG relation still breaks down in 2D. The extent of deviation from the AG relation crucially depends on the attractive vs repulsive nature of interparticle interactions, choice of representative timescale (diffusion coefficient vs α-relaxation time), and implies that the RFOT scaling exponents also depend on these factors. Thus, our results suggest that some differences in the nature of glassy dynamics between 2D and 3D remain that are not explained by long wavelength fluctuations.

A twistable aggregation induced emission enhancement active multisite fluorescent sensor for targeted sensing of zinc ions, 4-nitrophenol and chloroform in diverse conditions

Excessive utilization of Zn2+ and 4-nitrophenol (4-NP) in multiple fields has been becoming a serious threat to the environment and human health from a long time. Considering this, a multipurpose, extremely sensitive and selective fluorescent sensor BMP has been developed for the sensing of Zn2+, 4-NP and chloroform. Chalcone based sensor BMP was easily synthesized through simple aldol condensation reaction that possessed remarkable aggregation induced emission enhancement (AIEE) features along with the formation of J-aggregates. The particle size of aggregates was measured by DLS analysis. Sensor BMP showed strong emission at wavelength 430 nm. Moreover, sensor BMP showed different emissive behavior in various solvents. Sensor BMP selectively detected the Zn2+ through Chelation Enhanced Fluorescence (CHEF) intensity. BMP sensor has selectively sensed the 4-NP through photo-induced electron transfer (PET) quenching mechanism. Along with Zn2+ and 4-NP the sensor BMP has interestingly detected the percentage of chloroform in DCM. The calculated values of limit of detection for Zn2+, 4-NP and chloroform is 43 nM, 18 nM and 0.1 % v/v, respectively. UV–Visible, 1H NMR, LC-MS titration, and SEM experiments were also executed to verify the interaction of BMP sensor with respective analytes. Furthermore, the experimental findings were further justified through the theoretical studies including energy calculation of orbitals and nature of interactions. BMP sensor was employed in both solution and solid state for successful sensing of Zn2+, 4-NP and chloroform in real samples.

Mutual synergistic regulation of chloride anion and cesium cation binding using a new designed macrocyclic multi-functional sites receptor: A case of DFT computational prediction.

The mutual synergistic regulation of the multi-functional sites on a single receptor molecule for ion-binding/recognition is vital for the new receptor design and needs to be well explored from experiment and theory. In this work, a new macrocyclic ion receptor (BEBUR) with three functional zones, including two ether holes and one biurea groups, is designed expecting to mutually enhance the ion-binding performance. The binding behaviors of BEBUR mainly for Cl- and Cs+ are deeply investigated by using density functional theoretical calculations. It is found that Cl-/Cs+ binding can be mutually enhanced and synergistically regulated via corresponding conformational changes of the receptor, well reflecting an electrical complementary matching and mutual reinforcement effect. Moreover, solvent effect calculations indicate that BEBUR may be an excellent candidate structure for Cl--binding with the enhancement of counter ion (Cs+) in water and toluene. In addition, visualization of intermolecular noncovalent interaction is used for analysis on the nature of the binding interactions between receptor and ions.

Complex interplay between RAS GTPases and RASSF effectors regulates subcellular localization of YAP

RAS GTPases bind effectors to convert upstream cues to changes in cellular function. Effectors of classical H/K/NRAS are defined by RBD/RA domains which recognize the GTP-bound conformation of these GTPases, yet the specificity of RBD/RAs for over 160 RAS superfamily proteins remains poorly explored. We have systematically mapped interactions between BRAF and four RASSF effectors, the largest family of RA-containing proteins, with all RAS, RHO and ARF small GTPases. 39 validated complexes reveal plasticity in RASSF binding, while BRAF demonstrates tight specificity for classical H/K/NRAS. Complex between RASSF5 and diverse RAS GTPases at the plasma membrane can activate Hippo signalling and sequester YAP in the cytosol. RASSF8 undergoes liquid-liquid phase separation and resides in YAP-associated membraneless condensates, which also engage several RAS and RHO GTPases. The poorly studied RASSF3 has been identified as a first potential effector of mitochondrial MIRO proteins, and its co-expression with these GTPases impacts mitochondria and peroxisome distribution. These data reveal the complex nature of GTPase-effector interactions and show their systematic elucidation can reveal completely novel and biologically relevant cellular processes.

Exploring Whether and How People Experiencing High Deprivation Access Diagnostic Services: A Qualitative Systematic Review.

To contribute to addressing diagnostic health inequalities in the United Kingdom, this review aimed to investigate determinants of diagnostic service use amongst people experiencing high deprivation in the United Kingdom. A systematic review was conducted using three databases (EBSCO, Web of Science and SCOPUS) to search studies pertaining to diagnostic service use amongst people experiencing high deprivation. Search terms related to diagnostics, barriers and facilitators to access and deprivation. Articles were included if they discussed facilitators and/or barriers to diagnostic service access, contained participants'direct perspectives and focussed on individuals experiencing high deprivation in the United Kingdom. Articles were excluded if the full text was unretrievable, only abstracts were available, the research did not focus on adults experiencing high deprivation in the United Kingdom, those not including participants' direct perspectives (e.g., quantitative studies) and papers unavailable in English. Of 14,717 initial papers, 18 were included in the final review. Determinants were grouped into three themes (Beliefs and Behaviours, Emotional and Psychological Factors and Practical Factors), made up of 15 sub-themes. These were mapped to a conceptual model, which illustrates that Beliefs and Behaviours interact with Emotional and Psychological Factors to influence Motivation to access diagnostic services. Motivation then influences and is influenced by Practical Factors, resulting in a Decision to Access or Not. This decision influences Beliefs and Behaviours and/or Emotional and Psychological Factors such that the cycle begins again. Decision-making regarding diagnostic service use for people experiencing high deprivation in the United Kingdom is complex. The conceptual model illustrates this complexity, as well as the mediative, interactive and iterative nature of the process. The model should be applied in policy and practice to enable understanding of the factors influencing access to diagnostic services and to design interventions that address identified determinants. Consulting lived experience experts was imperative in understanding whether and how the existing literature captures the lived experience of those experiencing high deprivation in South England. The model was presented to lived experience experts, who corroborated findings, highlighted significant factors for them and introduced issues that were not identified in the review.

Competitive (but not cooperative) body odors bias the discrimination of action intentions towards cooperation

Odors help us to interpret the environment, including the nature of social interactions. But, whether and how they influence the ability to discriminate the intentional states embedded in actions is unclear. In two experiments, we asked two independent groups of participants to discriminate motor intentions from videos showing one agent performing a reach-to-grasp movement with another agent with a cooperative or a competitive intent, and the same movement performed alone at either natural- or fast-speed, as controls. Task-irrelevant odor primes preceded each video presentation. Experiment 1 (N = 19) included masked cooperative and competitive body odors (human sweat collected while the donors were engaged in cooperative and competitive activities), whereas Experiment 2 (N = 20) included a common odor (cedarwood oil) and no odor (clean air) as primes. In an odor-primed, two-alternative forced choice task, participants discriminated the intention underlying the observed action. The results indicated that the odor exposure modulated the discrimination speed across different intentions, but only when the action intentions were hard to discriminate (cooperative vs. individual natural-speed, and competitive vs. individual fast-speed). Contrary to our hypothesis, a direct odor-action intention compatibility effect was not found. Instead, we propose a negative arousal compatibility-like effect to explain our results. Discrimination of high arousing action intentions (i.e., competitive) took longer when primed by high arousing odors (common odor and competitive body odor) than by low arousing odors (cooperative body odor and no odor). Discrimination of low arousing action intentions (i.e., cooperative) took longer when primed by low arousing odors than by high arousing odors. All in all, competitive (but not cooperative) body odors bias the discrimination of action intentions towards cooperation.

Intelligent ankle–foot prosthesis based on human structure and motion bionics

The ankle–foot prosthesis aims to compensate for the missing motor functions by fitting the motion characteristics of the human ankle, which contributes to enabling the lower-limb amputees to take care of themselves and improve mobility in daily life. To address the problems of poor bionic motion of the ankle–foot prosthesis and the lack of natural interaction among the patient, prosthesis, and the environment, we developed a complex reverse-rolling conjugate joint based on the human ankle–foot structure and motion characteristics, the rolling joint was used to simulate the rolling-sliding characteristics of the knee joint. Meanwhile, we established a segmental dynamics model of the prosthesis in the stance phase, and the prosthetic structure parameters were obtained with the optimal prosthetic structure dimensions and driving force. In addition, a carbon fiber energy-storage foot was designed based on the human foot profile, and the dynamic response of its elastic strain energy at different thicknesses was simulated and analyzed. Finally, we integrated a bionic ankle–foot prosthesis and experiments were conducted to verify the bionic nature of the prosthetic joint motion and the energy-storage characteristics of the carbon fiber prosthetic foot. The proposed ankle–foot prosthesis provides ambulation support to assist amputees in returning to social life normally and has the potential to help improve clinical viability to reduce medical rehabilitation costs.