Search Results (4,715)

Data-driven exoskeletons offer the potential for adaptive augmentation of human mobility. Yet their widespread adoption is hindered by labor-intensive biomechanical data collection and manual tuning. Herein, this study presents a highly efficient synthetic data approach to facilitate data-driven pipelines. We leveraged an Adversarial Motion Priors (AMP) agent to learn stylized walking within a massively parallel, physics-based simulation. The resulting high-fidelity data were collected and validated against OpenSim inverse dynamics pipelines. Further, we trained an end-to-end torque prediction algorithm using the collected data. A novel CNN-Transformer architecture was developed to map contralateral swing-phase data to variable-length push-off torque profiles. This enabled real-time, adaptive torque assistance of exoskeletons for variable-speed walking. A custom ankle exoskeleton was used to demonstrate robust sim-to-real transferability. Our system achieved an average root mean square error of approximately 0.081 ± 0.015 newton-meters per kilogram and an average R² of 0.836 ± 0.050 across speeds ranging from 0.6 to 1.75 m·s⁻¹. The controller significantly reduced user-positive ankle mechanical work by up to 14 ± 6.30%. Finally, our multi-sensor configuration exhibited inherent fault tolerance, ensuring safe operation even under partial sensor failure. By taking a scalable, data-driven approach, this work offers a practical pathway toward deploying autonomous exoskeletons in versatile, real-world environments. Full article

The growing interest in clean-label and naturally preserved foods has pushed the scientific community to research essential oils (EOs) as sustainable, multifunctional alternatives to chemical preservatives. These plant volatile compounds exhibit strong antimicrobial and antioxidant activities, making them promising ingredients for natural preservation. Fermented meat products, though highly nutritional, are particularly at risk of microbial spoilage and contamination by foodborne pathogens due to their complex microbiota and processing conditions. This review examines the role of EOs as natural antimicrobials in fermented meat systems, summarizing their mechanisms of action, efficiency against key pathogens, and impact on safety, shelf life, and sensory attributes. Additionally, it discusses technological challenges related to volatility, stability, and sensory alterations, and outlines mitigation strategies such as encapsulation, nanoemulsions, and controlled-release delivery systems. By critically presenting current progress and identifying research gaps such as standardization and matrix interactions, this review contributes to the development of effective, natural, and clean-label preservation strategies. These insights support innovation and sustainability in the meat processing industry by bridging the gap between antimicrobial efficacy and sensory acceptability. Full article

Fueled by the push for “More than Moore”, three-dimensional integrated circuits (3D ICs) have become a backbone of next-generation electronics. Their complex architectures place unprecedented demands on etching technologies, which must now deliver atomic precision, stringent high-aspect-ratio (HAR) control, and virtually damage-free profiles. Meeting these challenges requires metrology capable of true 3D, quantitative analysis at the nanoscale. Atomic force microscopy (AFM) has proven essential in this regard, offering non-destructive, sub-nanometer characterization that other techniques cannot provide. This review systematically examines AFM’s pivotal role in advancing key etching processes for 3D ICs, including deep reactive ion etching of through-silicon vias (TSVs), atomic layer etching (ALE), and cryogenic plasma etching. We detail AFM’s unique contributions to quantifying sidewall roughness, verifying etch-per-cycle rates, and assessing surface damage. We also discuss how recent innovations, such as tilting-AFM, HAR probes, and automated inline systems, are overcoming traditional barriers in throughput and access to sidewalls and deep trenches. Looking forward, the integration of AFM with optical metrology, machine learning, and multi-scale modeling opens a path toward truly autonomous process control and optimization. As such, AFM stands as an indispensable tool for developing and refining the etching processes that underpin next-generation 3D semiconductor manufacturing. Full article

The pursuit for cleaner aviation pushes research in hybrid-electric aircraft, which are far more complex systems than conventional airplanes. In this respect, the ODE4HERA European project aims to accelerate the development of such systems with the implementation of a solution-neutral Open Digital Platform, driving the design from top level requirements to virtual verification and validation. In this respect, the authors developed and integrated a flight dynamics module in a co-simulation environment aiming at the performance verification of the reference hybrid-electric aircraft through flight simulation. The implementation of a point mass model was sufficiently accurate to comply with the preliminary objectives of the project, paving the way for a higher-fidelity and more complex flight dynamics and control systems. Full article

Accurate estimation of knee joint moment is important for biomechanical monitoring and injury-risk assessment, yet model generalizability under altered sensory environments remains unclear. This study evaluated a support vector regression model for predicting sagittal knee moment during the landing–takeoff cycle of the drop vertical jump (DVJ) under visuo-proprioceptive conflict and examined whether adding hip and ankle kinematics improved performance. Fourteen healthy men performed DVJs under one real and four virtual perturbation conditions with a fixed physical drop height and virtual heights of 0, 10, 30, and 50 cm. Bilateral surface electromyography and three-dimensional lower-limb kinematics were used as inputs, and the inverse-dynamics-derived sagittal knee moment served as the target. Basic and extended feature sets were compared under leave-one-subject-out (LOSO) and leave-one-condition-out (LOCO) frameworks. Within the present experimental design, prediction performance was generally higher under LOCO than under LOSO. Adding hip and ankle kinematics improved prediction mainly under LOCO, whereas gains under LOSO were limited. Waveform similarity showed a non-monotonic decrease-then-recovery pattern across perturbation levels. Residual analysis showed no directional bias, and errors were greater during landing absorption and push-off than during flight. These findings suggest that under the present study design and in this sample, lower performance was observed under LOSO than under LOCO, and that multijoint kinematics may improve prediction robustness under cross-condition settings. Full article

Automating the pushing of bulk materials deposited through the hatch of a transport and packaging container (TPC) requires the development of a specialized robot equipped with an end effector capable of displacing material within a spatially constrained environment. This paper proposes a Cartesian robot design featuring a cellular end effector—comprising a grid of rectangular compartments—and a control system that enables the pushing of bulk material batches loaded via the hatch. This work presents experimental results regarding robotic workcell performance as a function of its end effector immersion depth and the material’s moisture content. Finite element modeling (FEM) of the end effector is detailed, determining the resistance forces encountered during movement at various immersion depths within the bulk material. Furthermore, an analysis of the container’s design was conducted to determine the final layer thickness of the bulk material after leveling five consecutive loaded portions. Newton–Euler equations are formulated to describe the movement dynamics of the end effector, considering variables such as immersion depth and material moisture. Additionally, a motion control algorithm was developed to accommodate varying displacements of the conical heap’s apex relative to the hatch center, integrated within the overall Cartesian robot control system. The derived results and recommendations facilitate the effective pushing and redistribution of loaded material batches within the container. Finally, finite element analysis and experimental validation confirm the structural strength and rigidity of the Cartesian robotic workcell, ensuring that the maximum elastic deflection of the end effector under peak dynamic load remains ≈ 1 mm. Full article

In Chuckwagon racing, teams of four Thoroughbred horses pull wagons at high speeds. Movement symmetry is a key locomotion metric linked to force production, racing direction, and lameness. Racehorse symmetry in trot during on-track warmups and cooldowns was assessed. Over 10 days, 60 horses (average 8 per day) were fitted with Global Navigation Satellite Systems combined with Inertial Measurement Unit (GNSS-IMU) sensors. Weight-bearing asymmetry was quantified using the minimum difference (MnD) in vertical trunk displacement between diagonal limb pairs, and push-off asymmetry was quantified using the upwards difference (UpD). Absolute (mm) and normalized (% ROM) asymmetries were compared between warmups and cooldowns using linear mixed models. Mean MnD was similar between warmup (6.2 mm; 17.6%) and cooldown (6.4 mm, 19.7%). Mean UpD increased from warmup (11.3 mm, 31.7%) to cooldown (12.8 mm, 38.0%), with UpD% significantly higher in cooldown (p = 0.046). No other differences were significant (all p ≥ 0.202). One horse sustained a catastrophic musculoskeletal (MSK) injury. This horse’s UpD ranged from 3.3–29.7 mm (11.4–69.3%) during warmups and 24.3–25.5 mm (47.8–76.4%) during cooldowns. Push-off asymmetry may increase after Chuckwagon racing. The injured horse showed high asymmetries, but high values also occurred in uninjured horses. Further work needs to establish normal asymmetry ranges in Chuckwagon racing and identify patterns associated with MSK injuries. Full article

This paper presents the development of a novel morphing wing prototype with three camber-twist morphing flaps. Reflexed airfoil morphing is achieved by means of two chordwise degrees-of-freedom, thereby decoupling lift from the aerodynamic moment with respect to the aerodynamic centre. The prototype wing design is characterised by a novel morphing flap concept and driven by the boundary conditions pertinent to the wind tunnel testing facilities and the choice of research questions. The flaps’ spanwise ends are adapted to represent a seamless and a discontinuous transition between adjacent flaps. Linear electric motors induce the morphing shapes, equipped with load cells on their respective push rods, for actuator force measurement. Pressure taps are included to measure the pressure distribution along the wing section. Upon manufacturing, preliminary static test results validate the wing’s morphing functionality. The morphing trailing edge demonstrates a range of camber morphing and twist morphing shapes, as well as the ability to support asymmetric morphing between adjacent flaps. Full article

Over the past three decades, artificial intelligence (AI) has substantially reshaped marketing research and practice, yet the discipline has not established a systematic understanding of its evolutionary trajectory and intellectual structure. A bibliometric analysis of 1923 Scopus publications (1992–2025) was conducted using CiteSpace to explore collaboration patterns, conceptual development, and thematic organization. It identified six evolutionary stages with accelerating innovation cycles, starting with neural networks (1992–2000) and ending with generative AI (2024–2025), with research attention per stage compressing from approximately 9 years to just 2 years. The analysis of the collaboration network shows that the key contributors are India, China, the USA, and the UK. Co-citation analysis indicates that there are three thematic dimensions with seven clusters, namely: (i) AI technological foundations and capabilities, (ii) AI marketing applications and transformation, and (iii) responsible AI governance and ethics. It suggests a Three-Force Evolutionary Framework, which combines technology-push, market-pull, and governance-moderator forces to describe the dynamics of the field. This framework shows that the Regulatory Awakening of 2018 (e.g., GDPR and the Cambridge Analytica incident) guided, not limited, innovation, and highlighted the critical personalization–privacy paradox on which modern developments are based. It identifies three priority research directions: generative AI in creative marketing, consumer trust in the personalization–privacy paradox, and organizational adaptation to fast innovation cycles. This study provides scholars with a comprehensive knowledge map, practitioners with strategic imperatives for responsible AI adoption, and policymakers with evidence that well-designed regulation accelerates innovation by balancing commercial value with societal concerns. Full article

Background: Childhood cancer survivors commonly experience long-term treatment effects that impair physical function. Access to in-person physical fitness assessments is often limited by geographic, logistical, and resource constraints. Virtually supervised physical fitness assessments may offer a feasible alternative; however, evidence in this population remains limited. Methods: This study evaluated the feasibility of delivering virtually supervised physical fitness assessments via videoconference for children and adolescents aged 5–18 years following completion of cancer treatment. Assessments evaluated lower-body strength (30 s sit-to-stand), upper-body strength (30 s push-up), mobility (timed up-and-go), balance (single-leg balance), aerobic endurance (two-minute step), and flexibility (sit-and-reach). Pre-defined feasibility benchmarks included recruitment (≥15 participants within three months), assessment completion (≥85% of participants completing all six assessments), individual assessment completion (≥90% of planned assessments completed), technique fidelity (≥85% of assessments performed with correct technique), session duration (≥90% of sessions completed in ≤30 min), safety (no adverse events), and participant satisfaction (qualitative feedback). Results: Twenty-nine participants were enrolled, with 28 completing the virtual assessments. The sample (61% male) had a mean age of 9.8 ± 3.7 years (range 5–16), with acute lymphoblastic leukaemia the most common diagnosis (46%). Recruitment exceeded benchmarks (23 participants within three months). Assessment completion was 92.9% (26/28), individual assessment completion was 98.8% (166/168), and technique fidelity was 90.9%, with the lowest fidelity for push-ups (73.1%). Most sessions were completed within 30 min (92.9%; median 19.5 min, range 15–33). No adverse events occurred. Feedback indicated high satisfaction, highlighting convenience, engagement, and practicality. Conclusions: Virtually supervised physical fitness assessments were feasible, safe, and acceptable for childhood cancer survivors. These findings provide initial feasibility evidence to support further validation and implementation research before broader clinical application. Full article

Contemporary problems ranging from allergies, myopia, and obesity to chronic anxiety, loneliness, and ultralow fertility can be understood as consequences of evolutionary mismatch intensified by the polycrisis, in which accelerating technological and socioeconomic changes push human adaptations beyond what they evolved to handle. We sought to provide a conceptual review that maps these problems to adaptive needs that are disrupted in highly modernized environments. We then introduce the social evolutionary mismatch and competition hypothesis, which proposes that social aspects of evolutionary mismatch—e.g., increasing population sizes, fragmented communities, rising socioeconomic inequality, constant exposure to inflated social status cues—have a distinct effect of heightening both real and perceived competition. In turn, this perspective can help us make sense of predictable variation in psychosocial outcomes, including obsessive status pursuit, hostility, and social withdrawal. Finally, we outline strategies to lessen the impact of these dynamics by reducing sources of evolutionary mismatch. In sum, we contribute (1) an exposition of how the polycrisis exacerbates evolutionary mismatch and the adaptive needs that are impacted, (2) a theoretical advance identifying mismatch-driven competition as a predictor of multiple problematic outcomes, and (3) a translational framework showing how evolutionary insights can inform interventions to promote well-being in a time of profound societal strain. Full article

Marine turtle and cetacean strandings along the Italian coastline represent critical ecological events that require systematic documentation, yet historical data have suffered from fragmentation and poor accessibility across heterogeneous archives. GeoCetus addresses this gap by providing a unified national framework for the centralized collection, management, and open visualization of these data. The platform’s architecture integrates a spatially enabled database with a modern RESTful API, utilizing automated workflows to push data to a public GitHub.com repository. This system unifies historical and contemporary datasets, comprising over 4700 georeferenced records dating back to 1999, while ensuring data quality through structured validation, qualified contributors and reverse geocoding. The results demonstrate a significant improvement in data interoperability and democratization, with the dataset expanding by an average of 150–300 new records annually under a CC-BY-SA license. By adhering to FAIR Data Principles, GeoCetus offers the necessary infrastructure to support real-time operational responses and reproducible ecological analyses. We conclude that this standardized, machine-readable approach is essential for evidence-based national conservation strategies and effective environmental monitoring. Full article

The aim of this study was to shed light on activity-based prospective memory performance in children and adult patients with narcolepsy type 1 (NT1) during the first sixty minutes after morning awakening. With reference to the children (C) sample, 21 C-NT1 patients and 20 healthy controls (C-HC) were enrolled; as regards adults (A), 31 A-NT1 patients and 51 A-HC were examined. Each participant used an actigraph for one week, being asked to press the event marker button at get-up time (prospective memory task—PMT). Computing the time interval between the get-up time and the moment the event marker button was pushed, no significant differences were observed in the children’s groups. In contrast, in the adult groups, A-NT1 patients had a longer interval than A-HC. Moreover, the rate of compliant performers (those who remembered to push the event-marker button within 2 min of get-up time) and late performers was significantly different in adults only, with a low rate of compliant performers in A-NT1 patients. In C-NT1, a shorter cognitive inertia was associated with higher motor activity after awakening; in contrast, this association was not observed in A-NT1. Overall, the present pattern of results suggests that prospective memory performance is impaired only in NT1 adult patients. Full article

A recurring question in contemporary society is: How can one survive on a single income? Escalating socioeconomic challenges worldwide are pushing many households beyond their financial comfort zones. As a coping strategy, many individuals have adopted side hustles, income-generating activities pursued alongside full-time employment. However, a crucial question arises: do side hustles come at the expense of primary employment, particularly in terms of employee commitment and workplace loyalty? This study examined the moderating role of work–life integration in the relationship between side hustles, employee commitment, and workplace attachment. The unit of analysis consisted of academic and support staff at South African higher education institutions. Primary data were collected through a survey of a stratified random sample of 300 employees, and the data were analysed using structural equation modelling. The findings support that side hustles offer meaningful opportunities to enhance individual livelihoods by mitigating the impact of declining income levels. Moreover, the results indicate that flexible work arrangements are critical for employees engaged in hustle, as such flexibility strengthens organisational commitment and workplace attachment. The study recommends adopting a humanistic management approach that promotes boundaryless jobs, thereby fostering employee commitment and workplace attachment through an inclusive, supportive, and empowering work environment. Full article

Low-carbon energy transition (LET) has become an important global development strategy. However, in the contemporary industrial era, carbon emissions are intricately intertwined with economic growth based on the extensive use of fossil energy. To this end, the key to a more acceptable push for LET is to achieve carbon emissions decoupling (CED). The rapidly developing digital economy (DE) introduces novel possibilities for it. Using a Finite Mixture Model, this study aims to analyze how DE heterogeneously impacts CED across 66 countries from 2011 to 2022. As of 2022, 41% of countries attained strong decoupling status, 33% reached weak decoupling status. In terms of the effect of DE on CED, both chance and challenge are shown. DE exhibits dual effects: it enhances CED in high-education countries but hinders it in countries with rapid population growth. Government efficiency and gender equality amplify DE’s chance role, while natural gas or clean energy reliance weakens it. DE indirectly promotes CED via low-carbon behavior while raising risks through easier credit access. Meanwhile, the heterogeneity of institutional and economic characteristics in countries may influence the effect of DE on CED. These findings offer a theoretical foundation to reconcile economic sustainability with climate mitigation in digital transitions, providing actionable insights for policymakers to leverage DE’s potential in achieving SDG 13. Full article