Search Results (1,096)

The rapid increase in the production of Waste Electrical and Electronic Equipment (WEEE) and batteries requires advanced automated disassembly solutions. While disassembly automation has progressed, the non-destructive removal of electrical cable connectors (ECCs) remains a critical unresolved challenge, particularly for battery packs where safety is paramount. This paper presents a critical review of the state-of-the-art in robotic ECC disassembly. To systematically assess the technological maturity of the field, the authors introduce a functional decomposition of the process into six fundamental tasks: detection, pose estimation, accessibility, motion planning, manipulation, and extraction. While detection, pose estimation, and manipulation are more advanced due to contributions from adjacent fields like assembly and inspection, accessibility, motion planning, and extraction are still at an early stage. Based on the identified gaps, the authors suggest that future developments could follow two main directions: leveraging comprehensive databases for applications with limited variability, or shifting the disassembly approach from the connector housing to the locking mechanism to achieve broader applicability. Full article

Generative Artificial Intelligence (GenAI), particularly Foundation Models (FMs), has recently become a key component of Industry 5.0. Despite growing interest in integrating these technologies into industrial environments, comprehensive analyses of the socio-technical opportunities and challenges of deploying these emerging AI systems in real-world settings remain limited. This article proposes a socio-technical conceptual perspective, termed Responsible Agentic Robotics (RAR), which structures the lifecycle deployment of agentic AI-enabled robotic systems around three core layers: context, design, and value. Additionally, this article presents a brief review of 21 peer-reviewed studies published between 2023 and 2025 (post-ChatGPT era) on FMs and agentic AI-enabled Human–Robot Collaboration (HRC) in industrial assembly/disassembly environments. The results indicate that existing research remains predominantly technology-centric, with a strong emphasis on enhancing robot autonomy, while comparatively limited attention is devoted to human-centered and responsible practices. Moreover, empirical evaluations of human, social, and sustainability dimensions, such as worker empowerment, human factors, well-being, inclusivity, resource utilization, and environmental impact, are rarely conducted and poorly discussed. This article concludes by identifying key socio-technical gaps, outlining future research directions. Full article

Surface pitting is a physiological disorder characterized by depressions on the fruit surface, caused by subepidermal cell collapse and exacerbated during cold storage. This study evaluated antioxidant responses and cell wall disassembly in sweet cherry cultivars exhibiting contrasting susceptibility to surface pitting. Four cultivars were evaluated over two growing seasons under controlled cold storage and shelf-life conditions, with pitting experimentally induced. Surface pitting severity was strongly genotype-dependent. After 15 d at 1 °C in the first season, pitting severity was higher in ‘Sweetheart’ and ‘Lapins’ (2.4 and 1.9, respectively) than in ‘Regina’ (0.6), while in the second season, ‘Sweetheart’ reached the highest damage at shelf life (3.5) and ‘Santina’ remained low (0.8), confirming lower susceptibility in ‘Regina’ and ‘Santina’ than in ‘Sweetheart’ and ‘Lapins’. Cell wall-related traits and pectinolytic enzyme activities exhibited strong seasonal variability and were not consistently associated with pitting incidence. In contrast, resistant cultivars exhibited higher non-enzymatic antioxidant levels. Total phenolic content reached 4.1 ± 0.4 mg g⁻¹ in ‘Regina’ at the end of storage, while antioxidant capacity reached 51.5 ± 3.3% DPPH inhibition, up to 2-fold higher than susceptible cultivars. Enzymatic antioxidant activities were influenced by cultivar and season and showed limited association with pitting development. These results indicate that phenolic-based non-enzymatic antioxidant capacity plays a central role in conferring tolerance to surface pitting in sweet cherry during cold storage. Full article

This study investigates the efficacy of co-assembled, physically cross-linked nanocarriers comprising tannic acid (TA) and a P(DMAEMA-co-OEGMA) random/statistical double-hydrophilic copolymer for ovalbumin (OVA) encapsulation. TA-based nanocarriers, prepared at varying TA molar ratios (10% w/v and 20% w/v), exhibited nanoaggregates of different sizes, as revealed by dynamic light scattering, with Nanocarrier 1 system showing populations of 11 and 109 nm, while Nanocarrier 2 formed a single population of 75 nm in size. Notably, both colloidal systems demonstrated stability under thermal treatment and resilience to changes in salt concentrations higher than 0.15 M, but disassembly phenomena in basic media. Utilizing these nanocarriers for OVA loading via electrostatic interactions revealed strong positive charges (~30 mV) for all protein-loaded nanocarrier cases. In particular, they demonstrated sizes within the desired range (R_h = 96–118 nm) and considerable stability over 20 days and in the presence of serum proteins. Overall, this study underscores the importance of physical cross-linking as a viable strategy for the formation of tunable nanometric hydrocolloids for effective protein encapsulation, with significant implications for drug delivery systems. Full article

Flesh mealiness, a textural disorder in apples, reduces storage quality and consumer acceptance. The ‘Delicious’ and ‘Fuji’, prominent apple cultivars in China, exhibit contrasting susceptibility to mealiness, though the underlying mechanisms remain unclear. This study compared cytological, physiological and cell wall metabolic changes between mealy ‘Oregon Spur II Delicious’ and non-mealy ‘Miyazaki Spur Fuji’ during ambient storage. Toluidine blue staining and scanning electron microscopy revealed that ‘Delicious’ exhibited larger intercellular spaces and cell separation in contrast to ‘Fuji’. This observation aligns with the earlier onset of mealiness in ‘Delicious’: its mealiness degree increased from 3.06% at harvest to 19.62% after 28 d of storage (a 6.4-fold rise), whereas that of ‘Fuji’ only increased from 2.13% to 3.90% (1.8-fold). This pronounced increase in ‘Delicious’ was accompanied by a significant increase in air space volume and a reduction in expressible juice. Furthermore, the occurrence of mealiness in ‘Delicious’ involved a sharp increase in respiration rate and ethylene production, alongside rapid declines in firmness and starch content. Notably, there was a substantial accumulation of water-soluble pectin (WSP) and chelator-soluble pectin (CSP) in ‘Delicious’, whereas the content of Na₂CO₃-soluble pectin (NSP) remained consistently lower. Monosaccharide composition analysis confirmed significantly reduced arabinose and galactose levels across pectin fractions (WSP, CSP, and NSP) in ‘Delicious’. Correspondingly, immunofluorescence labeling showed a pronounced degradation of arabinan and galactan within the side chains of rhamnogalacturonan-I (RG-I). In addition, the activities of pectin methylesterase, α-L-Arabinofuranosidase, and β-D-Galactosidase remained significantly elevated in ‘Delicious’. Collectively, these findings demonstrate that cultivar differences in flesh mealiness are attributable to divergent physiological senescence and cell wall disassembly processes. Full article

Amyloidosis is characterized by the deposition of misfolded proteins as highly stable, insoluble β-sheet-rich fibrils, posing a major therapeutic challenge due to their resistance to degradation. Insulin-derived amyloidosis at subcutaneous injection sites is a clinically significant complication in patients with diabetes, leading to impaired insulin absorption, unpredictable glycemic control, substantially increased insulin dose requirements, and localized masses (amyloidomas) that may require surgical excision when symptomatic. In this study, we evaluated sodium oleate-functionalized magnetic nanoparticles (MNs) with a hydrodynamic diameter of 50 nm with a magnetite (iron oxide—Fe₃O₄) core as a targeted physical intervention to disrupt preformed insulin amyloid fibrils. The strategy exploits localized nanoscale hyperthermia generated by MNs under a high-frequency radiofrequency (RF) field (1.65 MHz). Fibril integrity and disassembly kinetics were assessed using Thioflavin T (ThT) fluorescence assays and fluorescence microscopy. RF-activated MNs induced rapid, concentration-dependent fibril disruption; notably, at 2 mg/mL MNs, near-complete disassembly was achieved within 15 min—a timeframe compatible with clinical procedures. Neither RF nor MNs alone produced significant effects, confirming a synergistic magnetothermal mechanism. These results provide a proof of concept for a minimally invasive, externally triggered approach to clear localized insulin amyloid deposits, offering promising potential as a novel therapeutic strategy for managing injection-site amyloidosis in diabetic patients, where current options remain limited and often inadequate. Full article

During the process of damage identification and safety-state evaluation of cable-stayed bridges, the cable tension should also be incorporated into common monitoring, which usually includes displacement and strain. However, the testing process of cable tension is complicated, and the disassembly, installation and maintenance of the cable tension meter are higher priced and difficult. To improve the efficiency of damage evaluation regarding cable-stayed bridges, information-entropy theory is introduced and the curvature entropy index of the difference in the influence line of displacement is proposed. To obtain effective data parameters for damage evaluation, first, the dynamic disturbance in the displacement time-history response is removed through variational modal decomposition, and the multi-axle effect of vehicles is regularized, so as to identify the measured influence line of displacement of cable-stayed bridges. Second, the peak value of the curvature entropy index of the difference in the influence line of displacement under varied damage degrees of stay cables is extracted to construct the inverse fitting formula of damage degree. The entropy value of the measured influence line of displacement is then substituted into a PSO-BP neural network, so as to obtain the damage degree of the corresponding position of the measured data regarding the influence line of displacement of bridges. Finally, the health status of stay cables is evaluated using the information-entropy parameters of the influence line of displacement. The theoretical model and actual data are used for testing, and the research results show that: (1) the location and degree of cable damage can be effectively located and quantified by using the curvature entropy index of the difference in the influence line of displacement, and (2) the cable health index of the cable-stayed bridge tested by actual data is 96.73%, consistent with the conclusion of on-site technical evaluation. Full article

Transitioning toward a circular economy requires not only solutions involving technical component reuse but also mechanisms that reduce risk and increase confidence among market stakeholders. Steel-faced sandwich panels, widely used in façades and roofs, constitute a significant urban material stock, yet their reuse is constrained by information asymmetry, liability concerns, and the absence of verifiable condition data. In this study, we develop an integrated end-to-end workflow—combining controlled panel recovery, Unmanned Aerial Vehicle (UAV) inspection, deep learning-driven damage detection, and Building Information Modeling (BIM)-linked material passports—to enable traceable, evidence-based reuse decisions. Validated through a pilot façade assembly and disassembly process, the methodology successfully quantified 4845.90 cm² of mechanical damage across 10 panels, with all orthomosaic and detection outputs fully integrated into the digital passport environment. By standardizing component-level condition records, this approach reduces perceived risk and provides the technical assurance necessary to unlock a trusted second-hand marketplace for sandwich panels. Framed within an urban metabolism perspective, the findings demonstrate how digital transparency can bridge the gap between material recovery and market valuation. Full article

Background/Objectives: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder for which no disease-modifying therapy that halts or substantially slows disease progression is currently available. Although antibody therapies targeting amyloid β (Aβ) have recently received FDA approval, their high cost, limited efficacy, and potential adverse effects highlight the need for alternative solutions. Therefore, the development of low-molecular-weight compounds capable of reducing toxic Aβ aggregates is of considerable interest. In this study, we investigated the effects of 2,3,4-trihydroxybenzophenone (THB) on the inhibition and disassembly of Aβ_1–42 aggregates through in vitro and in vivo experiments. Methods: In vitro assays were performed to evaluate the effects of THB on Aβ_1–42 aggregation and fibril disassembly. Cell viability assays and hippocampal slice electrophysiology were conducted to assess neurotoxicity and synaptic function. In vivo effects were examined in Aβ_1–42 aggregate-injected mice and in 5 Familial AD mutations (5XFAD) mice using behavioral, histological, and electrophysiological analyses. Results: THB inhibited Aβ_1–42 aggregation in a concentration-dependent manner and promoted the disassembly of preformed fibrils. THB attenuated Aβ_1–42-induced Neuro2a cell death and restored Aβ_1–42 aggregate-associated long-term potentiation (LTP) deficits in hippocampal slices. In Aβ_1–42 aggregate-injected and 5XFAD mice, THB reduced amyloid pathology and neuroinflammatory markers and improved synaptic function and memory performance. Conclusions: These findings suggest that THB modulates pathogenic Aβ_1–42 assemblies and provides a structural basis for the development of small-molecule modulators of Aβ_1–42 aggregation with potential preventive or disease-modifying applications in AD. Full article

The industrial application of modified ion-exchange membranes is limited by complex, discontinuous ex-situ processes. This study introduces an in-situ electro-assembly strategy that enables the direct fabrication of a selective layer within an electrodialysis stack without disassembly. By utilizing a programmed current reversal to orchestrate the sequential deposition of polyethyleneimine (PEI), glutaraldehyde cross-linking, and polystyrene sulfonate (PSS) adsorption, we achieve meticulous interfacial engineering on a commercial cation exchange membrane. Comprehensive characterization confirms the successful construction of a hydrophilic, charge-tuned multilayer, which enhances ion transport kinetics and raises the limiting current density. This method culminates in a membrane with an exceptional Li⁺/Mg²⁺ selectivity of 107.9 and robust stability, retaining a significant selectivity of 47 over 10 cycles in real salt lake brine. This synergistic integration of operational simplicity, interfacial precision, and superior performance establishes a transformative and scalable platform for manufacturing high-performance membranes for selective ion separation from complex brine sources. Full article

The building sector is responsible for a significant share of global greenhouse gas emissions, raw material usage, and waste generation, driving the need for new circular design strategies. Among these, Design for Disassembly (DfD) promotes the reuse, repair, and recycling of building components. However, existing quantitative DfD assessment methodologies generally require extensive preliminary studies, which limit their practical use. This article presents a new quantitative DfD assessment methodology developed within the EU-funded INFINITE project, which aims to provide designers with a simple yet robust tool to evaluate the detachability potential of building integrated systems without requiring prior environmental studies. This methodology has been designed to evaluate specific DfD scores for maintenance, reuse, and recycling, using the mass and lifespan of products or systems as weighting factors. The tool was tested and validated on several systems developed during the INFINITE project. In the specific case of the Building Integrated Solar Thermal (BIST) system, it successfully identified key design improvements—such as enhanced accessibility for maintenance operations and optimized component connections. Industrial partners reported high usability and recognized the tool as a valuable decision-support instrument during early development phases. Nevertheless, the assessment methodology also revealed some limitations related to the assessment of the specific components and end-of-life scenarios, and to the absence of a holistic evaluation of trade-offs between mass-based score and environmental impacts. Full article

With the transition from Industry 4.0 to Industry 5.0, human–robot collaborative assembly (HRCA) has progressed from physical copresence to cognitive integration and knowledge sharing. Digital twins (DTs) serve as enabling technologies that connect physical and virtual spaces. Support is provided for dynamic, safe, and human-centered collaboration. This study presents a systematic review of the research progress and practical applications of DT-enabled HRCA. First, conceptual boundaries between HRCA and general human–robot collaboration (HRC) in manufacturing are defined. Core elements of DT-driven state perception, task planning, and constraint modeling are described. Second, four task-allocation paradigms are classified and summarized, including optimization-based, constraint satisfaction-based, data-driven intelligent, and large language model (LLM)-assisted approaches. Applicable scenarios are identified. Third, the effects of collaboration modes and interaction modalities on planning logic are analyzed. Collaboration modes are categorized as parallel, sequential, and tightly coupled. Interaction modalities are grouped into AR-based explicit interaction, implicit intention perception, and multimodal fusion. Fourth, cross-domain application characteristics and engineering bottlenecks are summarized. Target domains include precision assembly, disassembly and remanufacturing, and construction on-site operations. Finally, four core challenges are distilled, including dynamic uncertainty, multi-objective conflicts, human factor adaptation, and system integration. Four future directions are outlined: LLM-enabled adaptive planning, safety–efficiency co-optimization, personalized collaboration, and standardized integration. The proposed technology–application–challenge–outlook framework is intended to provide a theoretical reference and practical guidance for transitioning HRCA from laboratory prototypes to large-scale industrial deployment. Full article

This paper presents a minimally intrusive experimental methodology for identifying and modeling power losses in the electric powertrain of a battery electric vehicle, including the inverter, electric motor and speed reducer. Measurements are performed on a roller test bench equipped with an eddy current brake, using two complementary approaches to determine the mechanical power at the wheel: (i) a direct measurement based on an onboard rotary torque sensor integrated into a driveshaft; (ii) an indirect estimation derived from brake power measurements corrected for bench losses and tire longitudinal slip. The two approaches are systematically compared in order to quantify the accuracy loss associated with brake-based measurements and to identify the operating conditions under which they can reliably substitute direct torque measurements. The experimental results show that brake-based estimations provide acceptable accuracy at moderate–high torque levels, while significant deviations occur at low torque. Based on the experimental dataset, an overall power loss model is identified using a polynomial function of motor torque and speed. Two fitting strategies are investigated: an unconstrained least-squares approach, allowing all coefficients to vary freely, and a constrained formulation enforcing physically admissible (non-negative) loss terms; while the unconstrained method slightly improves the numerical fit, it may lead to non-physical coefficients and invalid efficiency predictions. In contrast, the constrained approach preserves physical interpretability and ensures consistent loss and efficiency maps. Finally, a step-by-step practical guide is provided to facilitate the implementation of the proposed methodology for powertrain loss identification on electric vehicles without extensive mechanical disassembly. Full article

Circular economy (CE) decouples value creation from virgin resource use and waste in the medical device sector, which faces stringent patient-safety, quality, and regulatory obligations. Green Additive Manufacturing (AM) offers a precise, digitally driven route to implement CE through dematerialization, on-demand localized production, topology optimization, and material circularity. In this study, a comprehensive CE framework is tailored to medical device manufacturing that integrates eco-design, material circularity, remanufacturing, and regulatory compliance across the product life cycle. Methods include an International Organization for Standardization (ISO) 14040/44-aligned life cycle assessment, process energy metering, sterilization-compatibility studies, mechanical/biocompatibility verification to relevant standards, and a techno-economic/circularity analysis with Monte Carlo uncertainty quantification. Three case studies are explored using bio-based PA11 (selective laser sintering), recycled polyethylene terephthalate glycol (fused deposition modeling), and low-volatile organic carbon biocompatible photopolymer (stereolithography): (1) a patient-specific wrist orthosis, (2) a dental surgical guide, and (3) a single-use catheter Y-connector. Results indicate 38–68% reductions in embodied greenhouse-gas emissions, 22–54% energy savings per functional unit, and up to 80% mass recapture through in-process powder/runner reuse while maintaining clinical performance and regulatory conformity. Design-for-circularity patterns (DfC) were created for DfDisassembly, DfSter, DfTraceability, DfUpgrade, and DfPowder-Loop and provide a governance architecture combining ISO 13485 QMS, ISO 10993 biological evaluation, the European Union’s Medical Device Regulation (Regulation (EU) 2017/745), and the United States Food and Drug Administration’s guidance on Additive Manufactured (3D-printed) medical devices, guidance with unique device identification for closed-loop returns. The paper concludes with an Industry 5.0 roadmap for hospital-proximate micro-factories, materials passports, and digital product passports enabling verified circular flows at scale. Full article

Traditional hydraulic transmission education is often hindered by the subject’s theoretical complexity and abstract nature. To address these challenges, this study introduces the Immersive Hydraulic Transmission Laboratory (IHTL), a virtual teaching system designed to enhance practical learning and theoretical comprehension. The IHTL comprises three key modules: hydraulic components, disassembly experiments, and hydraulic circuits. The system’s effectiveness was evaluated through a comparative study of 80 mechanical engineering students. Results showed that the experimental group exhibited a 20% higher rate of inquiry and achieved average test scores 20.475 points higher than the control group. Statistical analysis confirms that the IHTL significantly outperforms traditional teaching methods in both stimulating student interest and improving learning outcomes. Full article