Design Improvements Research Articles

Innovative Applications of Intelligent Technology in Infant Care Products: A Study on the Design of Bottle Warmers and Milk Warmers

This paper delves into the innovative application of intelligent technology in the design of infant care products, with a particular focus on the design of smart bottle warmers and milk warmers, and their impact on user experience. The study begins by analyzing the current market demands and limitations of existing products in the field of infant care products, followed by a detailed discussion of the design features, technological advantages, and user experience of HAUTURE brand products. Through an in-depth analysis of the temperature control technology of the smart bottle warmer, the user interface design, and the dual-sealing system and vibration reduction and noise reduction technology of the milk warmer, this paper reveals how intelligent technology enhances product performance and user satisfaction. In addition, this paper examines the role of user feedback in product design improvement and proposes solutions to technical challenges. Finally, it provides an outlook on the future development trends of intelligent infant care products, predicting how intelligent technology will further shape innovation in this field.

Development of an Active Transportation Framework Model for Sustainable Urban Development

Active transportation, with simple mobility modes such as walking and cycling, could be pivotal in addressing multiple sustainability challenges related to socio-economic, environmental, and public health issues. This paper investigates the facilitators for active transportation and assesses its impact on health, well-being, and urban sustainability. As a result, a multidimensional conceptual framework is developed to analyze the determinants influencing individuals’ propensity to engage in active transportation and thereby lead to a sustainable, high-quality way of life. Through an extensive review of the relevant literature, key elements for active transportation, accessibility, and social inclusion are identified, and their potential impact on urban health and sustainability is investigated. Findings suggest that interrelationships between factors such as enhanced infrastructure, safety measures, and improved urban accessibility would significantly encourage active transportation usage. The proposed framework argues for a positive association between active transportation and improved health outcomes, contributing to sustainable urban environments. Furthermore, it is advocated that changing attitudes and mindsets could be achieved by urban planning and policy reforms supporting active transportation, as well as by effectively communicating the multiple benefits for individuals, the economy, and society at large. Comprehensive policy strategies, which include improvements in urban design and increased public awareness of the benefits of active transportation, could establish a paradigm shift for promoting a higher quality of life through a healthy, active, and sustainable urban lifestyle.

An explorative Bayesian analysis of functional dependencies in emergency management systems

AbstractThe study of emergency or crisis management practices acquires strategical relevance for resilient decision‐making under uncertainty. The assessment of system resilience is an asset to identify potential design or operational improvements of a complex socio‐technical system, such as an Emergency Management (EM) system. This research aims at analyzing the functional properties of an EM system recurring to a novel integration of the Functional Resonance Analysis Method (FRAM) and Bayesian Belief Networks (BBN). The FRAM is used to model and display the actors and the interactions in the system, while the BBN, dynamically updated when new data becomes available, supports a complementary quantitative assessment. The methodology is iterated in the analysis of an EM procedure, issued by a second‐line Emergency Response organization for Oil and Gas (O&G) operators in Norwegian continental shelf. The results of the study show that the proposed stochastic methodology compensates the drawbacks of traditional FRAM modeling, via the outcomes of BBN quantitative analyses. The findings, contextualized in EM, can be transferred to different socio‐technical contexts, both military and civil ones.

Exploring Raindrop Energy Harvesting using Reverse Electrowetting on Dielectric and Triboelectric Effect

Reverse electrowetting on dielectric (REWOD) and triboelectric nanogenerators have emerged as prominent developments in the field of droplet-based energy harvesting. Leveraging the triboelectric effect and kinetic energy of raindrops, this paper aims to examine a method of performing REWOD on raindrops while eliminating the need for a bias voltage and external mechanical modulation. The model presented in this paper mimics the typical REWOD set-up, modified to accommodate raindrops - with rainwater as the electrolyte, an aluminum bottom electrode coated with a dielectric (polydimethylsiloxane) and a top electrode fabricated in the form of a lattice. While the contact angle of water on polydimethylsiloxane has been measured and the bounce mechanism of water drops falling with varying velocities on the dielectric have been recorded, the voltage generated could not be measured or amplified due to limitations in the technology available. The paper discusses the rich future prospects, with potential improvements in the experiment design.

Research on the influence of unsteady cavitation on the dynamics structures of a twisted hydrofoil based on variational mode decomposition method

Cavitation will produce complex dynamic effects on hydrofoil structures. In this paper, the effects of unsteady cavitation conditions on the dynamics of twisted hydrofoil structures are studied by using variational mode decomposition (VMD) and pearson correlation coefficient (PCC), etc. The research results indicate that there is a certain synergy between the flow field pressure pulsation signal and the structural field stress-strain signal in the frequency distribution of the hydrofoil under cavitation conditions. The second-order center frequency of ΔP1 and the first-order center frequency of ΔP7 are close to the second-order center frequency of the stress-strain signal of the hydrofoil (1202.4Hz). Unsteady cavitation can lead to the increase of the high effective force region of the hydrofoil, especially the high effective force region connecting the leading edge and the root, which is the reason for the degradation of the hydrofoil performance. Cavitation increases the natural frequency of the hydrofoil, but has no obvious effect on the natural mode of the hydrofoil. The research results of this study reveal the effect of unsteady cavitation on the dynamics of hydrofoil structure, and provide important theoretical support for the optimization design and performance improvement of hydrofoil structure.

Modelling and Characterisation of Orthotropic Damage in Aluminium Alloy 2024.

The aim of the work presented in this paper was development of a thermodynamically consistent constitutive model for orthotopic metals and determination of its parameters based on standard characterisation methods used in the aerospace industry. The model was derived with additive decomposition of the strain tensor and consisted of an elastic part, derived from Helmholtz free energy, Hill's thermodynamic potential, which controls evolution of plastic deformation, and damage orthotopic potential, which controls evolution of damage in material. Damage effects were incorporated using the continuum damage mechanics approach, with the effective stress and energy equivalence principle. Material characterisation and derivation of model parameters was conducted with standard specimens with a uniform cross-section, although a number of tests with non-uniform cross-sections were also conducted here. The tests were designed to assess the extent of damage in material over a range of plastic deformation values, where displacement was measured locally using digital image correlation. The new model was implemented as a user material subroutine in Abaqus and verified and validated against the experimental results for aerospace-grade aluminium alloy 2024-T3. Verification was conducted in a series of single element tests, designed to separately validate elasticity, plasticity and damage-related parts of the model. Validation at this stage of the development was based on comparison of the numerical results with experimental data obtained in the quasistatic characterisation tests, which illustrated the ability of the modelling approach to predict experimentally observed behaviour. A validated user material subroutine allows for efficient simulation-led design improvements of aluminium components, such as stiffened panels and the other thin-wall structures used in the aerospace industry.

Performance Impact of Lead-Free CsSn0.5Ge0.5I3 Based Perovskite Solar Cells with HTL-Free Incorporation.

Lead-containing halide perovskites show promise for solar energy but pose ecological and health risks. To address these, researchers are exploring inorganic binary metal perovskites. This study proposes an eco-friendly, durable hole transport layer (HTL)-free design of CsSn0.5Ge0.5I3 with high power conversion efficiency (PCE). Using the SCAPS-1D simulator, we assessed the efficiency of an HTL-free planar heterojunction, while the Density Functional Theory (DFT)-based CASTEP simulator evaluated the optical properties of CsSn0.5Ge0.5I3 in an orthorhombic structure. Key findings highlight enhanced performance under 100 Wm-2 AM 1.5G illumination by optimizing absorber layer thickness to 800 nm and reducing defect densities in both the perovskite absorber layer and interfaces to 1 × 1014 cm-3.Additonally, the effects of different electron transport materials (ETMs), optimization of electron transport layer (ETL) thickness (30-50 nm), and back contact design improvements were examined. The simulation's results included an increase over the highest values reported in the literature: an open circuit voltage (Voc) of 1.06 V, a short circuit current density (Jsc) of 28.52 mA/cm2, a fill factor (FF) of 86.57%, and a PCE of 26.18% for the FTO/Zn0.875Mg0.125O/CsSn0.5Ge0.5I3/Se perovskite solar cell (PSC). This research provides theoretical insights for developing high-efficiency power modules without HTLs with significant industrial and research potential.

Opportunities for meaningful climate change engagement in vulnerable nature settings

Abstract Nature‐based tourism has a unique opportunity, and arguably responsibility, to promote widespread action on climate change. However, research suggests an aversion to providing information that might appear divisive or ‘ruin’ peoples day, particularly in places that are vulnerable to degradation. We explore how exposure to climate change information in vulnerable nature settings influences indicators of (i) the visitor experience and (ii) climate change engagement. Using a quasi‐experimental approach, we provided climate information on tourist boats operating on the Great Barrier Reef, Australia and compared visitor experiences with a control condition where climate information was not provided. Visitor surveys (n = 656) assessed perceptions and experiences. Overall, visitors on trips where climate information was provided were more likely to report that the reef experience exceeded their expectations and did not report any reduction in subjective trip satisfaction. However, we detected minimal effects of climate information on indicators of climate engagement (threat awareness, action awareness, or information seeking), suggesting room for improvement in interpretation approach and design. Indeed, visitors reported high levels of acceptability for incorporating more information about climate change, particularly about actions. Synthesis and applications: These results suggest that providing climate information does not undermine visitor experiences and while further research is required to determine the most effective approach for influencing climate change engagement, an appetite for more information exists. It is possible that what tourism operators are fearful of, may be an opportunity to improve outcomes aligned with both industry and environmental objectives. Read the free Plain Language Summary for this article on the Journal blog.

Scenario-Based Analysis of High-End New Energy Vehicle User Demands

With the rise in global environmental awareness and the rapid development of new energy technologies, high-end new energy vehicles (NEV) have become an important direction for the automotive industry. Consumer demand is evolving from merely seeking a means of transportation to desiring a comprehensive experience across various scenarios, emphasizing high quality, high performance, and environmental friendliness. Understanding the characteristics and trends of high-end NEV users' demands is crucial for car manufacturers in formulating market strategies, product design, and service improvement. However, current focus is often on policies and product design, lacking analysis of actual usage scenarios. To address this gap, this article employs scenario research methods to delve into the needs of high-end NEV users, selecting typical scenarios such as urban commuting, long-distance travel, and business operations. The research indicates that high-end NEV users are primarily young, highly educated, middle-to-high income individuals who exhibit rational consumption habits. Their most common usage scenarios include commuting to work, transporting family members, and shopping. In these contexts, there is a pronounced demand for vehicle safety performance, ride comfort, and intelligent features, each showing differentiated characteristics across various user groups. For instance, female users demonstrate a particularly strong preference for comfort-related configurations, whereas married users with children have the highest demand for spacious and convenient features. Based on these insights, this paper offers targeted recommendations from the perspectives of product design and marketing.

On-site monitoring and numerical simulation on groundwater flow and pollution plume evolution in a hexavalent-chromium contaminated site

Accurately ascertaining spatiotemporal distribution of pollution plume is critical for evaluating the effectiveness of remediation technologies and environmental risks associated with contaminated sites. This study concentrated on a typical Cr(VI) contaminated smelter being currently remediated using pump-and-treat (PAT) technology. Long-term on-site monitoring data revealed that two highly polluted regions with Cr(VI) concentrations of 162.9 mg/L and 234.5 mg/L existed within the contaminated site, corresponding to previous chromium slag yard and sewage treatment plant, respectively. The PAT technology showed significant removal performance in these highly polluted areas (>160 mg/L) after six months of pumping, ultimately achieving complete removal of the pollutants in these high-pollution areas. Numerical simulation results showed that although the current remediation scheme significantly reduced the Cr(VI) pollution degree, it did not effectively prevent the incursion of the pollution plume into the downstream residential area after 20 years. Additionally, an improved measure involving supplementary pumping wells was proposed, and its remediation effects were quantitatively evaluated. Results indicated that the environmental pollution risk of groundwater downstream could be effectively mitigated by adding pumping wells, resulting in a reduction of the pollution area by 20 % in the case of adding an internal well and 41 % with the addition of external wells after 20 years. The findings obtained in this study will provide an important reference and theoretical guidance for the reliability analysis and design improvement of the PAT remediation project.

Understanding the User Experience of Lumbar-Support-Assistive Devices in Lower-Back Pain Patients: Design Recommendations

A positive user experience is crucial for enhancing user adherence throughout the utilization of lumbar-support-assistive devices (LSAD). However, there is a lack of research for optimal user experience with LSAD in the existing literature. Therefore, this study aims to explore how patients with lower-back pain use LSAD and assess their satisfaction and overall experience. Based on this, we aim to provide design improvement recommendations for LSAD to researchers in the relevant field. Through in-depth interviews with 14 LSAD users, key themes were identified using reflexive thematic analysis. The results indicate that participants were “somewhat satisfied” with the overall experience with their LSAD. The key factors influencing the LSAD-wearing experience were: (1) key design challenges in improving LSAD (stability, fit and, comfort), (2) providing necessary assistance (potential barriers and prompts), and (3) individualizing needs and balance of design (aesthetics, dimensions, safety, and cleanliness). All participants reported that poor stability, fit, and comfort of LSAD were the main reasons for an adverse experience. It is worth noting that users may encounter potential barriers when initially using LSAD. Furthermore, younger participants perceived pressure related to appearance and expressed concerns about the exposure of their health privacy during social interactions involving the LSAD. Based on these findings, we have proposed a set of comprehensive LSAD design-improvement recommendations, which serve as a foundational reference for future improvements.

Patient perspectives on primary care behavioral health integration in an urban mental health professional shortage area: Benefits, facilitators, and barriers.

While studies have described the benefits of integrating behavioral health (BH) into primary care (PC), few have examined patients' perspectives, especially in large, urban health systems. In 2015, the University of Chicago Medicine launched the Primary Care Behavioral Health Integration Program, located in a mental health professional shortage area. In 2021, semistructured interviews were conducted with adult patients who had discussed their depression symptoms with their primary care clinician (PCC). Participants were asked about their experiences of being screened for depression, discussing BH, and being referred to behavioral health clinicians (BHCs). Interviews were analyzed using thematic analysis and constant comparison, and they were conducted until theme saturation was achieved. Fifteen participants were interviewed, the majority of whom were women and African American/Black, with an average age of 52. Participants expressed that PC-BH integration helps patients recognize BH problems and navigate the BH care system, emphasizes the connection between physical and mental health, and eases conversations through familiar setting and established trust. Patients enumerated barriers to integration, including barriers to BH care in the PC setting, barriers to BH conversations with PCCs/BHCs, and barriers to referrals to psychiatry/external therapy. Patients highlighted facilitators of integration, including trust with their PCC, collaboration between PCCs and BHCs, and population-level screening. These perspectives affirm the core strength of PC-BH integration: making BH more accessible and destigmatizing, especially for underserved communities. They also emphasize the importance of collaboration between PCCs and BHCs, shared identities, and actively involving patients in program design and quality improvement interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Data Quality-Driven Improvement in Health Care: Systematic Literature Review.

The promise of real-world evidence and the learning health care system primarily depends on access to high-quality data. Despite widespread awareness of the prevalence and potential impacts of poor data quality (DQ), best practices for its assessment and improvement are unknown. This review aims to investigate how existing research studies define, assess, and improve the quality of structured real-world health care data. A systematic literature search of studies in the English language was implemented in the Embase and PubMed databases to select studies that specifically aimed to measure and improve the quality of structured real-world data within any clinical setting. The time frame for the analysis was from January 1945 to June 2023. We standardized DQ concepts according to the Data Management Association (DAMA) DQ framework to enable comparison between studies. After screening and filtering by 2 independent authors, we identified 39 relevant articles reporting DQ improvement initiatives. The studies were characterized by considerable heterogeneity in settings and approaches to DQ assessment and improvement. Affiliated institutions were from 18 different countries and 18 different health domains. DQ assessment methods were largely manual and targeted completeness and 1 other DQ dimension. Use of DQ frameworks was limited to the Weiskopf and Weng (3/6, 50%) or Kahn harmonized model (3/6, 50%). Use of standardized methodologies to design and implement quality improvement was lacking, but mainly included plan-do-study-act (PDSA) or define-measure-analyze-improve-control (DMAIC) cycles. Most studies reported DQ improvements using multiple interventions, which included either DQ reporting and personalized feedback (24/39, 61%), IT-related solutions (21/39, 54%), training (17/39, 44%), improvements in workflows (5/39, 13%), or data cleaning (3/39, 8%). Most studies reported improvements in DQ through a combination of these interventions. Statistical methods were used to determine significance of treatment effect (22/39, 56% times), but only 1 study implemented a randomized controlled study design. Variability in study designs, approaches to delivering interventions, and reporting DQ changes hindered a robust meta-analysis of treatment effects. There is an urgent need for standardized guidelines in DQ improvement research to enable comparison and effective synthesis of lessons learned. Frameworks such as PDSA learning cycles and the DAMA DQ framework can facilitate this unmet need. In addition, DQ improvement studies can also benefit from prioritizing root cause analysis of DQ issues to ensure the most appropriate intervention is implemented, thereby ensuring long-term, sustainable improvement. Despite the rise in DQ improvement studies in the last decade, significant heterogeneity in methodologies and reporting remains a challenge. Adopting standardized frameworks for DQ assessment, analysis, and improvement can enhance the effectiveness, comparability, and generalizability of DQ improvement initiatives.

Carrier-Free Nanodrugs: From Bench to Bedside.

Carrier-free nanodrugs with extraordinary active pharmaceutical ingredient (API) loading (even 100%), avoidable carrier-induced toxicity, and simple synthetic procedures are considered as one of the most promising candidates for disease theranostics. Substantial studies and the commercial success of "carrier-free" nanocrystals have demonstrated their strong clinical potential. However, their practical translations remain challenging and are impeded by unpredictable assembly processes, insufficient delivery efficiency, and an unclear in vivo fate. In this Perspective, we systematically outline the contemporary and emerging carrier-free nanodrugs based on diverse APIs, as well as highlight their opportunities and challenges in clinical translation. Looking ahead, further improvements in design and preparation, drug delivery, in vivo efficacy, and safety of carrier-free nanomedicines are essential to facilitate their translation from the bench to bedside.

Community Acceptance of SIKESAL: An UTAUT Model Approach in E-Government Services in Jambi City

Purpose: This research examines the factors influencing public acceptance of e-government services, particularly the Sikesal system in Jambi City. The urgency of this research lies in its potential to improve the quality of public services, increase community engagement, and support digital transformation goals in Jambi City. This study contributes to understanding how local communities perceive and utilize e-government services, providing insights to improve service design and Using the Unified Theory of Acceptance and Use of Technology (UTAUT) model, we evaluated variables including Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. The study utilized a quantitative approach, collecting data through questionnaires distributed to 100 respondents, selected using the Slovin formula. Result: Results indicate that Effort Expectancy significantly impacts the use of e-government services (T value of 18.339, P value of 0.000), highlighting the importance of user-friendliness. However, performance expectancy, social influence, and facilitating conditions did not significantly impact. Novelty: The novelty of this study lies in its localized examination of e-government acceptance, providing insights for targeted improvements in service design and implementation.

Soil Erosion Characteristics of the Agricultural Terrace Induced by Heavy Rainfalls on Chinese Loess Plateau: A Case Study

Terrace erosion has become increasingly pronounced due to the rising incidence of heavy rainfalls resulting from global climate change; however, the processes and mechanisms governing erosion of loess terraces during such events remain poorly understood. A field investigation was performed following a heavy rainfall event in the Tangjiahe Basin to examine the soil erosion characteristics of loess terraces subjected to heavy rainfall events. The results show that various types of erosion occurred on the terraced fields, including rill, gully, and scour hole in water erosion, and sink hole, collapse, and shallow landslide in gravity erosion. Rill erosion and shallow landslide erosion exhibited the highest frequency of occurrence on the new and old terraces, respectively. The erosion moduli of the gully, scour hole, and sink hole on the new terraces were 171.0%, 119.5%, and 308.7% greater than those on the old terraces, respectively. In contrast, lower moduli of collapse and landslide were observed on the new terraces in comparison to the old terraces, reflecting reductions of 34.2% and 23.4%, respectively. Furthermore, the modulus of water erosion (32,102 t/km2) was 4.5 times that of gravity erosion on the new terraces. Conversely, on the old terrace, the modulus of gravity erosion (8804.1 t/km2) exceeded that of water erosion by 14.5%. Gully erosion and collapse dominated the erosion processes, contributing 67.8% and 9.4% to soil erosion on the new terraces and 38.7% and 34.0%, respectively, on the old terraces. In the study area, the new terraces experienced significantly greater erosion (39,252 t/km2) compared to the old terraces (16,491 t/km2). Plastic film mulching, loose and bare ridges and walls, inclined terrace platforms, and high terrace walls, as well as the developing flow paths, might be the key factors promoting the severe erosion of the terraces during heavy rainfall. Improvements in terrace design, construction technologies, temporary protective measures, agricultural techniques, and management strategies could enhance the prevention of soil erosion on terraces during heavy rainfall events.

Insight into the crack evolution and mechanism of catalyst-coated membrane undergoing freeze–thaw cycling in fuel cells

The evolution of catalyst-coated membrane (CCM) under saturated humidity conditions during freeze–thaw cycling was investigated, with a particular focus on the evolution of initial cracks within the catalyst layer (CL) and their impact on the proton exchange membrane (PEM). A quasi in-situ fuel cell fixture was designed to enable direct observation of the CCM via scanning electron microscopy (SEM). As the number of freeze–thaw cycles increases, the initial cracks in the CL gradually propagated, with new cracks appearing around them. These CL cracks tend to extend along the larger pores, which essentially represent gaps between agglomerates. The overall trajectory of formed cracks appears to be influenced by the flow channel direction. Additionally, under freeze–thaw cycling, cracks in the CL led to the formation of cracks in the PEM. A strong correlation is found between the direction of membrane cracks and CL cracks, suggesting a direct impact of the CL defects on the structural integrity of the PEM. Furthermore, some cracks at the tips of CL cracks even penetrate through the entire membrane. This study provides valuable insights into the degradation mechanisms of CCMs under low-temperature environmental conditions and could inform future design improvements for enhanced durability.

Long-Term Survival and Regeneration Following Transplantation of 3D-Printed Biodegradable PCL Tracheal Grafts in Large-Scale Porcine Models.

Polycaprolactone (PCL) implants in large animals show great promise for tracheal transplantation. However, the longest survival time achieved to date is only about three weeks. To meet clinical application standards, it is essential to extend the survival time and ensure the complete integration and functionality of the implant. Our study investigates the use of three-dimensional (3D)-printed, biodegradable, PCL-based tracheal grafts for large-scale porcine tracheal transplantation, assessing the feasibility and early structural integrity crucial for long-term survival experiments. A biodegradable PCL tracheal graft was fabricated using a BIOX bioprinter and transplanted into large-scale porcine models. The grafts, measuring 20 × 20 × 1.5 mm, were implanted following a 2 cm circumferential resection of the porcine trachea. The experiment design was traditionally implanted in eight porcines to replace four-ring tracheal segments, only two of which survived more than three months. Data were collected on the graft construction and clinical outcomes. The 3D-printed biosynthetic grafts replicated the native organ with high fidelity. The implantations were successful, without immediate complications. At two weeks, bronchoscopy revealed significant granulation tissue around the anastomosis, which was managed with laser ablation. The presence of neocartilage, neoglands, and partial epithelialization near the anastomosis was verified in the final pathology findings. Our study demonstrates in situ regenerative tissue growth with intact cartilage following transplantation, marked by neotissue formation on the graft's exterior. The 90-day survival milestone was achieved due to innovative surgical strategies, reinforced with strap muscle attached to the distal trachea. Further improvements in graft design and granulation tissue management are essential to optimize outcomes.

On-bottom stability of a radial fin integrated surface-laid pipe-section against vertical penetration

This study focuses on the on-bottom stability of surface-laid submarine pipelines during vertical penetration under thermal-induced buckling. Submarine pipelines are susceptible to buckling due to their high slenderness ratio, and the resistance to such displacement relies on pipeline stiffness and soil resistance. To investigate this, laboratory model tests were conducted using a scaled-down pipe section placed on a clay bed. The clay bed was prepared with remoulded Kaolin clay, ensuring uniform moisture content, and the model pipe was scaled down from a typical industry prototype. These tests were conducted in 2D plane strain conditions within a tank, equipped with observation windows to monitor pipe movement and soil behaviour. A significant improvement in the pipe section's penetration resistance and on-bottom stability was observed after incorporating fin in the pipe. The addition of fins altered the earth pressure distribution beneath the vertically loaded pipe, leading to a larger failure mechanism in the adjacent soil. Furthermore, the soil-surface-heaving progressed towards the tank wall with increasing angular distance between the radial fins. Thus, the research demonstrated the effectiveness of radial fins in enhancing the stability and resistance of submarine pipelines against vertical penetration, shedding light on potential improvements in submarine pipeline design and deployment.

An efficient steel defect detection model based on multi-scale information extraction

PurposeIn the field of steel defect detection, the existing detection algorithms struggle to achieve a satisfactory balance between detection accuracy, computational cost and inference speed due to the interference from complex background information, the variety of defect types and significant variations in defect morphology. To solve this problem, this paper aims to propose an efficient detector based on multi-scale information extraction (MSI-YOLO), which uses YOLOv8s as the baseline model.Design/methodology/approachFirst, the authors introduce an efficient multi-scale convolution with different-sized convolution kernels, which enables the feature extraction network to accommodate significant variations in defect morphology. Furthermore, the authors introduce the channel prior convolutional attention mechanism, which allows the network to focus on defect areas and ignore complex background interference. Considering the lightweight design and accuracy improvement, the authors introduce a more lightweight feature fusion network (Slim-neck) to improve the fusion effect of feature maps.FindingsMSI-YOLO achieves 79.9% mean average precision on the public data set Northeastern University (NEU)-DET, with a model size of only 19.0 MB and an frames per second of 62.5. Compared with other state-of-the-art detectors, MSI-YOLO greatly improves the recognition accuracy and has significant advantages in computational cost and inference speed. Additionally, the strong generalization ability of MSI-YOLO is verified on the collected industrial site steel data set.Originality/valueThis paper proposes an efficient steel defect detector with high accuracy, low computational cost, excellent detection speed and strong generalization ability, which is more valuable for practical applications in resource-limited industrial production.