Search Results (123)

Oyster aquaculture in the U.S. faces severe inefficiencies due to the absence of precise path planning tools, resulting in environmental degradation and resource waste. Current dredging techniques lack trajectory planning, often leading to redundant seabed disturbance and suboptimal shell distribution. Existing vessel models—such as the Nomoto or Dubins models—are not designed to map steering inputs directly to spatial coordinates, presenting a research gap in maneuver planning for underactuated boats. This research fills that gap by introducing a novel hybrid vessel kinetics model that integrates the Nomoto model with Dubins motion primitives. Our approach links steering inputs directly to the vessel motion, enabling Cartesian coordinate path generation without relying on intermediate variables like yaw velocity. Field trials in the Chesapeake Bay demonstrate consistent trajectory following performance across varied path complexities, with average offsets of 0.01 m, 1.35 m, and 0.42 m. This work represents a scalable, efficient step toward real-time, constraint-aware automation in oyster harvesting, with broader implications for sustainable aquaculture operations. Full article

This study presents the design and validation of an integrated fire safety system that leverages edge AI, hybrid sensing, and precision suppression to overcome the latency and collateral limitations of conventional smoke detection and sprinkler systems. The proposed platform features a dual-mode sensor array for early fire recognition, motorized ventilation units for rapid smoke extraction, and a 360° directional nozzle for targeted agent discharge using a residue-free clean extinguishing agent. Experimental trials demonstrated an average fire detection time of 5.8 s and complete flame suppression within 13.2 s, with 90% smoke clearance achieved in under 95 s. No false positives were recorded during non-fire simulations, and the system remained fully functional under simulated cloud communication failure, confirming its edge-resilient architecture. A probabilistic risk analysis based on ISO 31000 and NFPA 551 frameworks showed risk reductions of 75.6% in life safety, 58.0% in property damage, and 67.1% in business disruption. The system achieved a composite risk reduction of approximately 73%, shifting the operational risk level into the ALARP region. These findings demonstrate the system’s capacity to provide proactive, energy-efficient, and spatially targeted fire response suitable for high-value infrastructure. The modular design and SmartThings Edge integration further support scalable deployment and real-time system intelligence, establishing a strong foundation for future adaptive fire protection frameworks. Full article

Kirigami-inspired geometries offer a lightweight, bioinspired strategy for friction enhancement and anchoring in soft robotics. This study presents a bioinspired kirigami structure designed to enhance the anchoring performance of soft robotic systems through systematic geometric and actuation parameter optimization. Drawing inspiration from the anisotropic friction mechanisms observed in reptilian scales, we integrated linear, triangular, trapezoidal, and hybrid kirigami cuts onto flexible plastic sheets. A compact 12 V linear actuator enabled cyclic actuation via a custom firmware loop, generating controlled buckling and directional friction for effective locomotion. Through experimental trials, we quantified anchoring efficiency using crawling distance and stride metrics across multiple cut densities and actuation conditions. Among the tested configurations, the triangular kirigami with a 4 × 20 unit density on 100 µm PET exhibited the most effective performance, achieving a stride efficiency of approximately 63% and an average crawling speed of ~47 cm/min under optimized autonomous operation. A theoretical framework combining buckling mechanics and directional friction validated the observed trends. This study establishes a compact, tunable anchoring mechanism for soft robotics, offering strong potential for autonomous exploration in constrained environments. Full article

Background: Optimal coping with chronic pain (CP) has a positive impact on minimizing the barriers to patients’ quality of life. Mindfulness-based approaches have been shown to improve emotional regulation and coping strategies in CP management, promoting a greater acceptance of pain and reducing psychological distress. Given that personality traits may influence the adjustment to chronic pain, this study aimed to investigate whether specific personality dimensions, based on Cloninger’s model of temperament–character dimensions, affect the enrolment and the response to pain treatment in an innovative hybrid arts-based CBT-CP group intervention for patients with non-malignant CP. Methods: A pre-and-post assessment design was implemented in a non-randomized control trial. A total number of 100 outpatients at a University Pain Management Unit were allocated through self-selection in either an arts-based CBT-CP group intervention (N = 50) or a treatment-as-usual (TAU) control group (N = 50). All participants completed the Brief Pain Inventory (BPI), the Orbach and Mikulincer Mental Pain Scale (OMMP), the Tolerance for Mental Pain Scale (TMPS), and the Temperament and Character Inventory (TCI-140). The assessment took place at baseline and at the end of the intervention, after a 10-week period. The statistical analyses included a t-test for independent samples, Chi-square, and linear regression analyses. Results: At baseline, the arts-based CBT-CP intervention group had a higher score in the novelty seeking character dimension (M = 64.04; SD = 9.56), whereas the TAU group was found to have higher scores in self-directedness (M = 74.34; SD = 11.22) and self-transcendence (M = 51.42; SD = 6.61). The arts-based CBT-CP group reported a lower loss of control (M = 22.94; SD = 6.70) and higher belief in the ability to cope with pain (M = 21.10; SD = 3.76) after the intervention, compared to the control group. Self-transcendence was found to be a significant predictor of average pain as well as of patients’ belief in their ability to cope with pain. Conclusions: The current study provides practice-based evidence suggesting that an arts-based CBT-CP group intervention is a promising treatment for non-malignant CP. Personality dimensions affect patients’ enrolment and response to pain treatment. Furthermore, integrating mindfulness-based strategies within such interventions may further enhance treatment outcomes by fostering acceptance, improving coping mechanisms, and reducing the emotional burden associated with chronic pain. Full article

Background/Objectives: Personalized dietary recommendations are essential for managing chronic conditions such as diabetes and irritable bowel syndrome (IBS). However, traditional approaches often fall short in accounting for individual metabolic variability. This systematic review evaluates the effectiveness of artificial intelligence (AI)-generated dietary interventions in improving clinical outcomes among adults. Methods: Following PRISMA guidelines, we searched six electronic databases for peer-reviewed studies published between 19 November 2015 to 6 September 2024. Eligible studies included adults aged 18 to 91 who received AI-generated dietary recommendations based on biomarkers such as blood glucose, gut microbiome composition, and self-reported data. Study designs included randomized controlled trials (RCTs), pre-post studies, and cross-sectional analyses. The GRADE system was used to assess the quality of evidence. Results: Eleven studies met inclusion criteria (five RCTs, five pre-post designs, one cross-sectional). Most AI methods used in the included studies were based on machine learning (ML), including conventional ML algorithms, deep learning (DL), and hybrid approaches integrating ML with IoT-based systems. Interventions led to improved glycemic control, metabolic health, and psychological well-being. Notable outcomes included a 39% reduction in IBS symptom severity and a 72.7% diabetes remission rate. Among nine studies with comparison groups, six reported statistically significant improvements in AI groups, two found comparable or better outcomes, and one found no difference. Mild side effects such as fatigue and constipation were observed. Conclusions: AI-generated dietary interventions show promise in surpassing traditional approaches by providing personalized, data-driven recommendations. Further research is needed to validate long-term effects, refine intervention protocols, and enhance user adherence in both clinical and public health settings. Full article

Background/Objectives: Surgical aortic valve replacement effectively relieves left ventricular afterload and promotes reverse remodeling in patients with severe aortic stenosis. The Perceval prosthesis offers a hybrid approach, combining complete annular decalcification with sutureless deployment. This design allows for reduced operative times and potentially larger effective orifice areas. However, comparative data with conventional stented bioprosthetic valves remain limited, particularly regarding reverse remodeling, hemodynamic performance, and long-term clinical outcomes. Methods: In this retrospective cohort study, 115 patients underwent aortic valve replacement with either the Perceval valve (n = 44) or conventional stented bovine pericardial valves (n = 71). Results: The Perceval group showed a 100% procedural success rate with no in-hospital mortality, significantly shorter cardiopulmonary bypass and cross-clamp times, larger effective orifice areas, and a lower incidence of patient–prosthesis mismatch. Both groups demonstrated favorable left ventricular mass regression and reverse remodeling. The rates of paravalvular leakage, permanent pacemaker implantation, and redo aortic valve replacement were comparable between groups. Multivariate Cox regression identified the follow-up indexed left ventricular mass as an independent predictor of major adverse cardiac and cerebral events. Conclusions: In this study, the Perceval valve was associated with promising hemodynamic characteristics and procedural efficiencies, particularly in cases with small aortic annuli and during minimally invasive procedures. The valve was associated with reverse ventricular remodeling and clinical outcomes that appeared similar to those of conventional stented bioprostheses. These observations suggest it may represent a potential alternative option for surgical aortic valve replacement in appropriate clinical scenarios. However, randomized control trials are needed to confirm these associations. Full article

The rapid advancement of modern megapolises has led to a dearth of surface space, and, in response, engineers have begun to trial substitutes below ground level. Shafts are generally used to provide temporary access and permanent work to the subsurface for tunnelling, as well as for lifts or ventilation purposes. In urban areas, one important design issue is the prediction of the excavation-induced displacements by open caisson shaft construction. Settlements and ground movements associated with open caisson shafts are influenced by the choice of construction method, soil composition, and excavation geometry. Compared with other geotechnical construction events, for instance, tunnelling, the literature relating to the ground deformations induced from open caisson shafts are comparatively limited. This review offers an evaluation of several case studies that utilize experimental and computational modeling techniques to provide clearer insights into earth pressure distribution and induced surface and subsurface soil displacements, as well as the associated ground deformations during open caisson shaft construction. The modeling test results are compared to the state of the practice ground deformation prediction theories and measured results from field monitoring data. Findings indicate that the lateral earth pressure distribution aligns closely with the theoretical predictions based on Terzaghi’s and Berezantzev’s models, and lateral earth pressure diminishes gradually until the onset of active wall displacement. Current modeling techniques generally fail to properly represent in situ stress states and large-scale complexities, emphasizing the need for hybrid approaches that combine physical and numerical methodologies. In future studies, modern approaches, including artificial intelligence (AI) monitoring (e.g., PINNs, ACPP), multi-field coupling models (e.g., THMC), and transparent soil testing, hold profound potential for real-time prediction, optimization, and visualization of soil deformation. Numerical–physical coupling tests will integrate theory and practice. Improving prediction reliability in complicated soil conditions such as composite and heterogenous strata using different modeling techniques is still unclear, and further investigation is therefore needed. Full article

Background: Soft-tissue sarcomas (STSs) represent a heterogeneous group of malignancies with widely varying treatment responses and biological behaviors. While spontaneous necrosis (present at diagnosis) is recognized in established sarcoma grading systems, the prognostic significance of therapy-induced necrosis remains uncertain. Inconsistent definitions, methodological variability, and clinical confounders further complicate the interpretation of necrosis as an independent prognostic marker. Methods: This communication synthesizes findings from an international, multidisciplinary webinar hosted by the Sarcoma Academy, critically assessing the utility of therapy-induced necrosis in STS management. Discussions encompassed surgical, pathological, oncological, and radiological perspectives, emphasizing how necrosis is defined, measured, and contextualized in patient care. Results: Heterogeneity in STS subtypes, varied treatment protocols, and sampling inconsistencies challenge the prognostic value of post-treatment necrosis. While substantial necrosis may sometimes signal effective therapy, it can also reflect the tumor’s aggressive nature. The panel underscored the utility of measuring the percentage of viable tumor cells, rather than necrosis alone, to obtain a more standardized and reproducible measure of therapy response. Emerging approaches—such as radiomics, molecular profiling, immune-based analyses, and real-world evidence (RWE) protocols—offer promising avenues for refining prognostication and guiding personalized therapy in STS. Conclusions: A focus solely on therapy-induced necrosis is insufficient to predict outcomes in STS. Instead, a multidisciplinary framework—combining standardized pathology protocols, quantification of viable tumor cells, advanced imaging, and innovative clinical trial designs—can better capture both treatment effects and underlying tumor biology. Future collaborative studies and hybrid trial methodologies are needed to determine which STS subgroups gain the most from intensified treatments aimed at maximizing necrosis, and how to balance such interventions with surgical considerations, toxicity, and overall patient well-being. Full article

The seed yield of 28 bean (Phaseolus vulgaris) lines from different crosses and two check cultivars was evaluated under rainfed conditions in two sites in North-Central Mexico. The aim was to identify high-yielding lines with low genotype–environment interactions (GEIs). Trials were conducted under a 6 × 5 square lattice design with four replicates; due to the lack of rainfall in Zacatecas, the trial was helped with supplemental irrigation. Data were analyzed by location and combined to determine the effects of GEIs using the additive main effects and multiplicative interaction model (AMMI) model. The combined analysis showed that 75.45% of the yield variation among lines was due to the effect of the environment, 11.75% was due to genotypes, and 12.79% was due to GEIs. Lines 5 and 10 displayed the highest yield, which slightly surpassed the checks (2.1 and 0.11%, respectively) and showed greater stability than those in the test environments. The AMMI analysis allowed for the selection of stable and high-yielding lines under drought conditions. Data on the weight and yield per hectare of a hundred seeds between and within locations identified lines 5, 10, and 16 as outstanding and capable of being used as a parent in a future hybridization program or as a new cultivar with drought tolerance. Full article

This paper explores the rice production changes spurred by the dissemination of Chinese rice technology across Egypt, Ghana, Kenya, Mali, Mozambique, and Tanzania (one group of the treated countries) through hybrid rice trials conducted from 1990 to 2010. The Difference-in-Differences model was applied for the above group. Another group, Burkina Faso, Burundi, Cote d’Ivoire, Rwanda, and Togo, was designated the control group, which did not receive treatment. Through hybrid rice trials, Sino–Africa cooperation has changed rice production levels. The Chinese rice dissemination technology performed well in terms of increasing rice yield (with an average of approximately 8.5 tons per hectare in the treated countries against 3.5 tons per hectare in the control countries) and ensuring rice-related self-sufficiency in Africa. The results of an empirical study show that, among the countries treated, Egypt remains the only African country to have established hybrid rice-breeding programs and released and produced domestically hybrid varieties. A redesign of the pattern of rice technology dissemination in Sino–Africa cooperation could, in the long term, improve rice production and productivity in the beneficiary countries. Full article

The hybridization of ADM-Type Rail Service Cars aims to enhance energy efficiency, environmental sustainability, and cost-effectiveness within Uzbekistan’s railway network. Diesel-powered service cars currently contribute to high fuel consumption, elevated emissions, and costly maintenance, necessitating a transition to hybrid technology. This study introduces an innovative “sequence of linear sets–torsion electric motor–wheel pairs” design, optimizing torque distribution and power efficiency for improved operational reliability. Through system modeling, performance simulations, and real-world field trials, the hybrid system demonstrates a 15% reduction in energy consumption, a 25% decrease in CO₂ emissions, and up to 30% lower maintenance costs compared to conventional diesel models. Additionally, the hybrid technology enhances operational flexibility, allowing seamless functionality on both electrified and non-electrified railway lines. From an economic perspective, retrofitting existing service cars instead of full fleet replacement provides a cost-effective alternative, offering an estimated 10-year return on investment (ROI) through fuel savings and reduced downtime. This initiative directly supports Uzbekistan’s Green Development Strategy and railway modernization plans while holding significant commercialization potential in Central Asia and other regions with aging railway infrastructure. By addressing technical scalability, regulatory compliance, and economic feasibility, this study proposes a practical and timely hybrid retrofit solution for sustainable railway operations, aligning current industry needs with long-term environmental and financial benefits. Full article

Nanotheranostics—where nanoscale materials serve both diagnostic and therapeutic functions—are rapidly transforming gene therapy by tackling critical delivery challenges. This review explores the design and engineering of various nanoparticle systems (lipid-based, polymeric, inorganic, and hybrid) to enhance stability, targeting, and endosomal escape of genetic payloads. We discuss how real-time imaging capabilities integrated into these platforms enable precise localization and controlled release of genes, improving treatment efficacy while reducing off-target effects. Key strategies to overcome delivery barriers (such as proton sponge effect and photothermal disruption) and to achieve nuclear localization are highlighted, along with recent advances in stimuli-responsive systems that facilitate spatiotemporal control of gene expression. Clinical trials and preclinical studies demonstrate the expanding role of nanotheranostics in managing cancer, inherited disorders, and cardiovascular and neurological diseases. We further address regulatory and manufacturing hurdles that must be overcome for the widespread clinical adoption of nanoparticle-based gene therapies. By synthesizing recent progress and ongoing challenges, this review underscores the transformative potential of nanotheranostics for effective, targeted, and image-guided gene delivery. Full article

As the foundation of national development, the construction industry is one of the most hazardous industries in the world, facing safety challenges and high rates of work-related accidents, especially in developing countries such as Iran, where 35% of all industrial accidents are related to construction accidents. In the meantime, construction site layout (CSL) design is vital in improving safety and cost efficiency, but the lack of comprehensive frameworks has limited its effective application. Traditional methods also create inefficiencies and additional costs due to the lack of flexibility in the face of project-specific constraints and unpredictable conditions. Significant research gaps exist, especially in Iran, where socioeconomic and cultural factors affect construction methods. This study aims to identify and analyze the critical factors affecting CSL in developing countries and provides a comprehensive framework that integrates regional constraints with global best practices. The main criteria identified in order of priority are hiring skilled professionals (weight: 0.32), hazardous materials management (weight: 0.25), and using advanced technologies (weight: 0.18). We first conducted a Delphi survey with domain experts using a hybrid approach to identify and refine key factors. Next, we utilized the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and fuzzy logic to examine causal relationships among the factors. Additionally, we prioritized the factors based on their relative importance using the fuzzy analytic network process (FANP). This research provides a practical framework for CSL optimization that helps improve safety and reduce costs in construction projects. Full article

Background: Head Start, a federally funded preschool for low-income families, offers a unique space for interventionists to equitably reach parents and children, and promote healthful behavior for chronic disease prevention. However, determinants of implementation in this context remain understudied, hindering opportunities for improvement. We aim to identify organization-level factors affecting implementation of an obesity prevention program, as relayed by implementation partners at Head Start. Methods: Communities for Healthy Living (CHL), designed and implemented with Greater Boston Head Start (n = 16 programs across n = 2 agencies), is a cluster-randomized obesity prevention trial offering enhanced nutrition support, media campaign, and a parenting program. The current study draws on two years (2017-19) of data collected from Head Start implementation partners. Pre-implementation, staff completed anonymous surveys: implementation readiness (n = 119), staff training evaluation (n = 166), and facilitator training evaluation (n = 22); response frequencies were tabulated. Mid-implementation, staff and leadership participated in focus groups (n = 3 groups with n = 16 participants) and interviews (n = 9); transcripts were analyzed using a deductive-inductive hybrid approach, grounded in the Consolidated Framework for Implementation Research. Results: Most staff strongly agreed or agreed they understood their role (98.8%), planned on recruiting parents (98.2%), and reported commitment to implementation (92.5%); however, fewer identified CHL as a priority (69.7%) and were confident in their ability to coordinate efforts (84.9%), handle challenges (77.3%), and receive support (83.2%). Thematic analysis yielded implementation facilitators, including mission alignment, partner engagement in design, allocation of intervention-specific resources, and expressed leadership support. Barriers included strains imposed on staff workflow, a lack of shared responsibility, and challenges in coordinating CHL activities amidst competing Head Start programs. Conclusions: Responsive efforts to address deliverer-identified barriers to implementation may include reducing intervention impact on preexisting workflow, as well as clearly distinguishing intervention activities from preexisting Head Start programs. Full article

With the increasing global emphasis on sustainable energy, wave energy has gained recognition as a significant renewable marine resource, drawing substantial research attention. However, the efficient conversion of low-frequency, random, and low-energy wave motion into electrical power remains a considerable challenge. In this study, an advanced hybrid generator design is introduced which enhances wave energy harvesting by optimizing wave–body coupling characteristics and incorporating both a triboelectric nanogenerator (TENG) and an electromagnetic generator (EMG) within the shell. The optimized asymmetric trapezoidal shell (ATS) improves output frequency and energy harvesting efficiency in marine environments. Experimental findings under simulated water wave excitation indicate that the accelerations in the x, y, and z directions for the ATS are 1.9 m·s⁻², 0.5 m·s⁻², and 1.4 m·s⁻², respectively, representing 1.2, 5.5, and 2.3 times those observed in the cubic shell. Under real ocean conditions, a single TENG unit embedded in the ATS achieves a maximum transferred charge of 1.54 μC, a short-circuit current of 103 μA, and an open-circuit voltage of 363 V, surpassing the cubic shell by factors of 1.21, 1.24, and 2.13, respectively. These performance metrics closely align with those obtained under six-degree-of-freedom platform oscillation (0.4 Hz, swing angle range of ±6°), exceeding the results observed in laboratory-simulated waves. Notably, the most probable output frequency of the ATS along the x-axis reaches 0.94 Hz in ocean trials, which is 1.94 times the significant wave frequency of ambient sea waves. The integrated hybrid generator efficiently captures low-quality wave energy to power water quality sensors in marine environments. This study highlights the potential of combining synergistic geometric shell design and generator integration to achieve high-performance wave energy harvesting through improved wave–body coupling. Full article