International Journal of Industrial Ergonomics最新文献

{"title":"Gender-specific effects of passive wearable exoskeletons (pwExo) on gait stability and fall risk in simulated construction tasks","authors":"Muhammad Khan,&nbsp;Chukwuma Nnaji","doi":"10.1016/j.ergon.2025.103776","DOIUrl":"10.1016/j.ergon.2025.103776","url":null,"abstract":"<div><div>Exoskeletons (Exos) offer significant benefits, but they may also introduce balance-related challenges, which could vary across genders or be exacerbated by gender-specific factors. This study investigates their biomechanical impact on gait stability and fall risk, considering gender-specific differences and task-specific outcomes. Key metrics, including Peak Pressure (PP), Mean Pressure (MP), Pressure-Time Integral (PTI), and Full Width at Half Maximum (FWHM), were analyzed across dynamic and static tasks. Results revealed that pwExos significantly influenced plantar pressure distribution, particularly in dynamic tasks such as lifting and carrying. Female participants experienced substantial reductions in peak heel pressure (up to 17.7%, p = 0.021), metatarsal pressures (14.2%, p = 0.034), and arch PTI (up to 52.8%), suggesting enhanced load redistribution and stability, whereas males exhibited increased forefoot loading, including a 15.5% increase in metatarsal PP and a 90.8% rise in toe PTI, indicating potential compensatory adaptations. Mean Pressure in females decreased by 73.5% at the heel during placing tasks, while males showed increased anterior pressure in static tasks. The pwExos were most effective during high-load tasks such as lifting and walking with sandbags (10lb), where pressure redistribution was greatest. While static tasks showed limited benefits, improvements in the arch and metatarsal regions suggest partial stabilization. These findings emphasize the potential of pwExos to enhance stability and reduce biomechanical fatigue, highlighting the need for task-specific and gender-sensitive designs. Future research should assess long-term effects, real-world applicability, and the role of individual factors such as Body Mass Index to optimize Exo integration in construction safety and health management.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103776"},"PeriodicalIF":2.5,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144366643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of classical and ensemble models for predicting whole body vibration induced lumbar spine stress. A case study of agricultural tractor operators","authors":"Amandeep Singh ,&nbsp;Naser Nawayseh ,&nbsp;Philippe Doyon-Poulin ,&nbsp;Stephan Milosavljevic ,&nbsp;Krishna N. Dewangan ,&nbsp;Yash Kumar ,&nbsp;Siby Samuel","doi":"10.1016/j.ergon.2025.103775","DOIUrl":"10.1016/j.ergon.2025.103775","url":null,"abstract":"<div><div>Accurate prediction of lumbar health is necessary for developing effective ergonomic strategies for tractor operators exposed to whole-body vibration. This study aims to predict static compression dose (S_ed), a key measure of lumbar spine stress as per ISO 2631-5, by comparing classical regression and ensemble models. Three tractor operation parameters (average speed, average depth, and pulling force) are considered to assess S_ed during rotary tillage operation. The performance of two classical models (Linear and Huber regression) is compared with five ensemble models (Random Forest, Gradient Boosting, XGBoost, AdaBoost, and Bagging regressors) in predicting S_ed. The comparison identifies the best models in each category, with linear regression achieving a mean bootstrap R² of 0.91 (95 % CI: 0.87 to 0.94) and Random Forest achieving 0.93 (95 % CI: 0.90 to 0.95). To further enhance performance, meta-models are developed using two meta-learners (Random Forest and Gradient Boosting) to integrate classical and ensemble models. These models are optimized using different ensemble strategies: simple averaging, weighted averaging, stacking, and voting regressors. Among these, the stacking method proves most effective, achieving a mean bootstrap R² of 0.94 (95 % CI: 0.93 to 0.96). Feature importance analysis reveals that the multi-model combination of ensemble models achieves the highest predictive score (0.99) for S_ed. These findings demonstrate that ensemble models outperform classical models in predicting Sed, particularly when combined through stacking methods. This advancement has significant implications for improving occupational health and safety among tractor operators, potentially leading to better ergonomic tractor designs aimed at reducing lumbar spine stress.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103775"},"PeriodicalIF":2.5,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new measurement for workload assessment in agricultural tasks: EDA-based real-time model","authors":"Sujin Seong ,&nbsp;Jaehyun Park ,&nbsp;Jeong Ho Kim","doi":"10.1016/j.ergon.2025.103771","DOIUrl":"10.1016/j.ergon.2025.103771","url":null,"abstract":"<div><div>Agriculture is vital for the global economy but remains one of the most hazardous industries due to the high prevalence of musculoskeletal disorders (MSDs). This study aimed to develop and validate an electrodermal activity (EDA)-based model for non-invasive, real-time assessment of upper limb task workload, addressing the impact of environmental factors on workers' mental and physical strain. To achieve this, participants engaged in simulated pruning and harvesting tasks, which are known for imposing substantial workload and injury risks on the upper extremities in agriculture. Anthropometric data, EDA signals, and the Borg rating of perceived exertion (RPE) were collected. A multinomial logistic regression (MLR) model was employed to classify workload levels based on EDA wavelet features and key task-related variables. The developed models for pruning and harvesting tasks explained 40–50 % of the variance in RPE, demonstrating the highest accuracy in the middle RPE group (88–89 %). Specificity was notably high (&gt;91 %) across both tasks for low and high RPE groups. Additionally, the middle RPE group exhibited recall and F1 scores above 84.5 %, while the high RPE category demonstrated recall, precision, and F1 scores ranging from 73 % to 92 % for pruning and from 60 % to 75 % for harvesting. These findings underscore the model's potential for precise workload categorization and the development of effective management strategies. Furthermore, the proposed EDA-based framework may hold broader applicability across various occupational domains that require non-invasive and continuous workload monitoring.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103771"},"PeriodicalIF":2.5,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metaphorical types of industrial icons: Impact on cognitive performance and the neural pattern in processing","authors":"Lan Zhang ,&nbsp;Xiaoli Wu ,&nbsp;Biao Yan ,&nbsp;Linyan Ren ,&nbsp;Xiaoyang Mao","doi":"10.1016/j.ergon.2025.103772","DOIUrl":"10.1016/j.ergon.2025.103772","url":null,"abstract":"<div><div>The rapid development of intelligent manufacturing poses challenges to the presentation of industrial information, leading to a recent surge of interest in industrial icons. To explore the semantic understanding of industrial icons within the intelligent manufacturing field, this study conducted an event-related potential (ERP) investigation focusing on metaphorical types (object metaphor, structural metaphor) and semantic conditions (match, mismatch). The ERP components observed—N1, P200, N400, and P600—reflect different stages of cognitive processing. N1 represents an initial response to visual perception, P200 indicates early recognition of semantic violations, N400 is associated with semantic processing and integration, and P600 reflects a prolonged reanalysis process for semantic integration. The study found that object metaphor elicited larger amplitudes in P200 and a smaller N400 compared to structural metaphor, suggesting that object metaphor requires more attention resources and is less impacted by semantic violations. However, the amplitude of P600 showed no significant difference between the two metaphorical types. Behavioral results demonstrated that object metaphor had higher accuracy and shorter response times than structural metaphor, indicating superior cognitive performance for object metaphor. These findings propose a novel perspective on using ERP components (N1, P200, N400, P600) to gain a deeper understanding of industrial icons. This contributes to the study of metaphorical design and the semantic understanding of industrial icons in the intelligent manufacturing domain.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103772"},"PeriodicalIF":2.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental study on a novel phase change cooling garment to improve the thermal comfort of live-line workers","authors":"Shengwei Wang ,&nbsp;Xiaohong Gui ,&nbsp;Tian Liu ,&nbsp;Yuran Huang ,&nbsp;Li Ding","doi":"10.1016/j.ergon.2025.103774","DOIUrl":"10.1016/j.ergon.2025.103774","url":null,"abstract":"<div><div>The study investigated the impact of a phase change cooling garment on the thermal comfort of live-line workers in humid and hot environments (38 °C, 75 % RH). A novel phase change cooling garment (C1), weighing 3.21 kg, was developed based on ergonomic design. The cooling effectiveness of C1 was assessed through evaluations conducted in an artificial climate chamber and field experiments. These evaluations measured physiological parameters such as heart rate, blood pressure, blood oxygen saturation, skin temperature, and core temperature, along with subjective questionnaires that covered overall and local thermal sensation, thermal comfort, and moisture sensation. The results demonstrated that C1 effectively reduced both the average and local skin temperatures in the cooled areas. Specifically, the average skin temperature decreased by approximately 2.4 °C, head skin temperature by about 1.2 °C, torso skin temperature by about 5.7 °C, and neck skin temperature by about 5.9 °C. Core temperature showed a reduction of approximately 0.4 °C. The use of C1 had minimal impact on other physiological parameters measured. Additionally, C1 significantly lowered subjective thermal sensation scores, with the overall thermal sensation vote (TSV) decreasing by 2.65 levels and the overall thermal comfort vote (TCV) decreasing by 1.7 levels. The overall heat stress level was reduced from severe to mild. Compared to other cooling garments, C1 exhibited superior performance in terms of thermal comfort. The findings provide valuable guidance for the design of personal phase change cooling garments, contributing to enhanced safety and comfort for live-line workers in humid and hot environments.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103774"},"PeriodicalIF":2.5,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age and sex differences in wrist range of motion: A population-based study of young and elderly Taiwanese adults","authors":"Yi-Lang Chen ,&nbsp;Pei-Yun Chiu","doi":"10.1016/j.ergon.2025.103773","DOIUrl":"10.1016/j.ergon.2025.103773","url":null,"abstract":"<div><div>Carpal tunnel syndrome is the most prevalent wrist-related condition, impacting both occupational tasks and daily activities. Awkward wrist postures are a major risk factor, with the likelihood of injury increasing as postures approach the wrist's range of motion (ROM). However, reference data for wrist ROM in the Taiwanese population is currently unavailable. This study examined wrist ROM in 250 participants (100 young adults and 150 elderly individuals, equally distributed by sex) using a dual-axis electro-goniometer. Measurements included ulnar deviation, radial deviation, flexion, and extension for both dominant and non-dominant wrists. Analysis of variance identified significant group differences in ulnar deviation (<em>p</em> &lt; 0.001), flexion (<em>p</em> &lt; 0.001), and extension (<em>p</em> &lt; 0.05), with sex and hand dominance significantly influencing ulnar deviation (<em>p</em> &lt; 0.01) and flexion (<em>p</em> &lt; 0.05), respectively. An interaction effect between sex and dominance was observed for flexion (<em>p</em> &lt; 0.05). Compared to the young group, the elderly group exhibited reduced ROM, with decreases of approximately 4° in ulnar deviation, 12° in flexion, and 4° in extension. Females exhibited greater ulnar deviation ROM than males, while the effect of hand dominance on flexion was evident only in males (+4°). Among the elderly cohort, no significant differences in ROM were observed between the 60–69 and 70–90 age subgroups.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"108 ","pages":"Article 103773"},"PeriodicalIF":2.5,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ergonomic design of shoe inserts for reducing lower extremity musculoskeletal discomfort in male Participants: An analysis of shape and size","authors":"Waseem Ahmad ,&nbsp;Md Sarfaraz Alam","doi":"10.1016/j.ergon.2025.103754","DOIUrl":"10.1016/j.ergon.2025.103754","url":null,"abstract":"<div><h3>Background</h3><div>The human foot endures substantial forces during daily activities such as walking and standing, often bearing loads 1.5 to 5 times the individual's body weight. These forces propagate through the lower extremity musculoskeletal structures, placing stress on critical joints, which can lead to discomfort, musculoskeletal issues, and reduced productivity. Shoe inserts (SIs) have emerged as effective ergonomic interventions, provided additional support and redistributed pressure to alleviate discomfort and enhance gait stability.</div></div><div><h3>Objective</h3><div>This study investigates the ergonomic effects of shoe insert placement, shape, and surface area on perceived comfort and plantar pressure distribution during static standing.</div></div><div><h3>Methods</h3><div>Twenty-six healthy male participants were assessed using flat and contoured inserts of varying surface areas (30 × 30 mm², 40 × 40 mm², and 50 × 50 mm²). Comfort ratings were measured using a Visual Analogue Scale (VAS), while plantar pressures (peak and mean) were evaluated using F-Scan sensors. Data were analysed using paired t-tests and repeated-measures ANOVA, with Bonferroni corrections applied for multiple comparisons.</div></div><div><h3>Results</h3><div>Inserts placed 2–4 cm anterior to the lateral midfoot region provided the highest comfort ratings. Contoured inserts consistently outperformed flat designs in improving comfort and reducing plantar pressures across all surface areas (p &lt; 0.017). Larger surface area inserts (50 × 50 mm²) were the most effective in enhancing subjective and objective outcomes, demonstrating significant improvements compared to smaller designs (p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>This study underscores the importance of precise placement, contoured designs, and larger surface areas in optimizing the ergonomic benefits of shoe inserts. These findings have practical implications for the design of ergonomic footwear and orthotics, particularly for individuals in occupations requiring prolonged standing.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"107 ","pages":"Article 103754"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A data-driven approach to classifying manual material handling tasks using markerless motion capture and recurrent neural networks","authors":"Aanuoluwapo Ojelade ,&nbsp;Mohammad Sadra Rajabi ,&nbsp;Sunwook Kim ,&nbsp;Maury A. Nussbaum","doi":"10.1016/j.ergon.2025.103755","DOIUrl":"10.1016/j.ergon.2025.103755","url":null,"abstract":"<div><div>Work-related musculoskeletal disorders (WMSDs) are prevalent problems that encompass a range of conditions affecting muscles, tendons, and nerves due to repetitive strain, non-neutral postures, and forceful exertions. These disorders lead to pain, reduced productivity and substantial healthcare costs. Effective physical exposure assessment tools are needed in the workplace to quantify WMSD risks and the association between exposure and risks. While several tools are available, they are often limited in scope and lack the ability to assess physical risks continuously. In this study, we evaluated a data-driven approach to continuously classify manual material handling tasks and specific task conditions using different feature sets and machine learning algorithms. Specifically, kinematic data from markerless motion capture (MMC) system was used as input for various recurrent neural networks to classify among eight distinct manual material handling tasks: box lifting, asymmetric box lifting, box carriage, box pushing, box pulling, cart pushing, overhead lifting, and box lowering. The models we tested include bidirectional long-short term memory, gated recurrent units, and bidirectional gated recurrent units. We also classified specific task conditions, such as hand configurations and initial lifting height. Overall, using the MMC's kinematic data led to satisfactory results (e.g., accuracy of 80–94 %) in classifying the tasks and the task conditions. Our results, though, also emphasize that classification performance varied across different feature sets, tasks, and between males and females. Nonetheless, use of MMC demonstrates clear potential for physical exposure assessment.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"107 ","pages":"Article 103755"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Magnetic Cursor pointing technique (MagCursor): A gaze-assisted manual pointing technique based on human eye-hand coordination patterns","authors":"Baihan Cai ,&nbsp;Shaoyao Zhang ,&nbsp;Bo Wang ,&nbsp;Xinlian Lu ,&nbsp;Duming Wang ,&nbsp;Chaoyue Qi ,&nbsp;Xinqi Zhang ,&nbsp;Meng Chen ,&nbsp;Chunhui Wang ,&nbsp;Yu Tian","doi":"10.1016/j.ergon.2025.103760","DOIUrl":"10.1016/j.ergon.2025.103760","url":null,"abstract":"<div><div>Gaze-assisted manual pointing techniques have demonstrated significant potential for achieving fast and accurate pointing and selection performance. However, several empirical studies have found negative effects when using these techniques, possibly due to the insufficient consideration of human eye-hand coordination patterns. Therefore, we proposed the Magnetic Cursor pointing technique (MagCursor), which achieves intuitive gaze pointing and incorporates an appropriate temporal threshold to mitigate potential conflicts between gaze control and manual control. Using two manual pointing devices (a trackball mouse and a touchpad), we compared MagCursor with a manual-only condition (Manual-Only), and with a commercial gaze-assisted manual pointing technique called Tobii-MAGIC. We found that MagCursor outperformed Manual-Only in terms of increased input speed or decreased workload, and outperformed Tobii-MAGIC in terms of increased input speed, accuracy and decreased workload. This work contributes to the design of gaze-assisted manual pointing techniques and may extend the application of these techniques to a wider range of contexts.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"107 ","pages":"Article 103760"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144170695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does augmented reality head-mounted display impact the ability to detect safety hazards while performing piping assembly?","authors":"Rahul Chaudhari ,&nbsp;Paul Goodrum ,&nbsp;Siddharth Bhandari ,&nbsp;Matthew Hallowell ,&nbsp;Matt Jones ,&nbsp;Nolan Brady ,&nbsp;Tom Yeh","doi":"10.1016/j.ergon.2025.103751","DOIUrl":"10.1016/j.ergon.2025.103751","url":null,"abstract":"<div><div>Augmented Reality (AR) Head Mounted Displays Devices (HMDDs) have the potential to revolutionize information delivery during the construction phase. However, concerns remain about whether AR HMDDs impact workers' ability to detect changes in their surroundings, which could pose safety risks. In this controlled experiment, one hundred industry craft workers participated in an assembly task on a full-scale Mechanical, Electrical, and Plumbing (MEP) model using three information formats: traditional isometric paper drawings and two AR models at levels of detail (LOD) 300 and 400 that vary based on the density of information provided. A safety hazard scenario was introduced, and the response time to detect the change was recorded. Findings revealed a significant difference in response times, with non-AR HMDD users detecting changes more quickly than AR HMDD users. Further investigation examined the correlation between workers' age, spatial cognition, and response time to detect changes. This study is one of the first in the construction domain to introduce hazards (referred to as change) and examine AR HMDDs’ impact on individuals' ability to detect them.</div></div>","PeriodicalId":50317,"journal":{"name":"International Journal of Industrial Ergonomics","volume":"107 ","pages":"Article 103751"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}