Objectives:The primary treatment for varicose ulcers is to address the underlying cause of venous hypertension, additionally, split-thickness skin transplantation (ST) is an effective option for large ulcers. The aim of this study was to compare the efficacy of venous surgery with or without split-thickness ST in the management of varicose ulcers (diameter ≥6 cm).Methods:Patients with varicose ulcers between 2013 and 2023 were included in the real-world retrospective cohort study. The endovenous microwave ablation/endovenous laser ablation-high ligation-foam sclerotherapy-compression therapy + ST group (EMA/EVLA-CT-HL-FS + ST) consisted of 32 patients, while the EMA/EVLA-CT-HL-FS group consisted of 48 patients.Results:A difference in ulcer healing time was found between the two groups (the hazard ratio [HR] was 4.4, 95% CI [2.3–8.2], P < 0.0001). However, the healing rate did not differ between the two groups at 6 and 12 months postoperatively.Conclusion:ST has been shown to expedite ulcer healing and ameliorate the symptoms of VVs in the early stages of treatment, while its intermediate to long-term efficacy for ulcer healing and overall patient quality of life may be limited.
目的：静脉曲张溃疡的主要治疗方法是解决静脉高压的根本原因，此外，分层厚皮移植术（ST）也是治疗大面积溃疡的有效方法。本研究旨在比较静脉手术联合或不联合分层厚皮移植治疗静脉曲张溃疡（直径≥6厘米）的疗效。结果：两组患者的溃疡愈合时间存在差异（危险比 [HR] 为 4.4，95% CI [2.3-8.2]，P <0.0001）。结论：ST 在治疗早期可加快溃疡愈合并改善 VVs 症状，但其对溃疡愈合和患者整体生活质量的中长期疗效可能有限。
{"title":"Comparison of the effect of combination therapies in the treatment of large varicose ulcers: A real-world cohort study","authors":"Fangfang Wen, Hailiang Xie, Minggui Lai, Guofu Zheng, Yuancai Xie, Xiaochun Liu","doi":"10.1177/00368504241283352","DOIUrl":"https://doi.org/10.1177/00368504241283352","url":null,"abstract":"Objectives:The primary treatment for varicose ulcers is to address the underlying cause of venous hypertension, additionally, split-thickness skin transplantation (ST) is an effective option for large ulcers. The aim of this study was to compare the efficacy of venous surgery with or without split-thickness ST in the management of varicose ulcers (diameter ≥6 cm).Methods:Patients with varicose ulcers between 2013 and 2023 were included in the real-world retrospective cohort study. The endovenous microwave ablation/endovenous laser ablation-high ligation-foam sclerotherapy-compression therapy + ST group (EMA/EVLA-CT-HL-FS + ST) consisted of 32 patients, while the EMA/EVLA-CT-HL-FS group consisted of 48 patients.Results:A difference in ulcer healing time was found between the two groups (the hazard ratio [HR] was 4.4, 95% CI [2.3–8.2], P < 0.0001). However, the healing rate did not differ between the two groups at 6 and 12 months postoperatively.Conclusion:ST has been shown to expedite ulcer healing and ameliorate the symptoms of VVs in the early stages of treatment, while its intermediate to long-term efficacy for ulcer healing and overall patient quality of life may be limited.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1177/00368504241272478
Dongsheng Yang, Jun Li, Chaosheng Huang, Kunheng Li, Guoxiang Lu, Kai Guo
Tire burst is an accidental occurrence that poses a serious threat to the driving stability and road safety of vehicles. Therefore, it is of great practical significance to investigate early warning systems for tire burst and develop stability and safety control measures after burst incidents. The development of an accurate model that can effectively represent the impact of tire burst on vehicle dynamics is crucial for the design of control systems and the development of stability control strategies. Most of the existing research on tire burst models is based on static tire tests, the effectiveness of these models still needs to be further verified. The main approach to studying the impact of burst tires on vehicle performance is to embed a burst tire model into a vehicle dynamics model. Understanding the impact of tire burst on vehicle performance is essential for identifying burst incidents and developing stability control strategies. The research on burst identification primarily focuses on early warning systems and estimating vehicle state parameters after burst incidents, while the current research on stability control strategies focuses on enabling vehicles to continue running safely after burst incidents through braking, active steering, and collaborative control. Currently, there is no comprehensive review of research on vehicle tire burst stability control. Therefore, this paper primarily reviews five aspects: (a) the causes and prevention of tire burst, (b) the impact of tire burst on vehicle performance, (c) burst identification, (d) stability control strategies for burst incidents, and (e) future prospects for tire burst research.
{"title":"A review of research on tire burst and vehicle stability control","authors":"Dongsheng Yang, Jun Li, Chaosheng Huang, Kunheng Li, Guoxiang Lu, Kai Guo","doi":"10.1177/00368504241272478","DOIUrl":"https://doi.org/10.1177/00368504241272478","url":null,"abstract":"Tire burst is an accidental occurrence that poses a serious threat to the driving stability and road safety of vehicles. Therefore, it is of great practical significance to investigate early warning systems for tire burst and develop stability and safety control measures after burst incidents. The development of an accurate model that can effectively represent the impact of tire burst on vehicle dynamics is crucial for the design of control systems and the development of stability control strategies. Most of the existing research on tire burst models is based on static tire tests, the effectiveness of these models still needs to be further verified. The main approach to studying the impact of burst tires on vehicle performance is to embed a burst tire model into a vehicle dynamics model. Understanding the impact of tire burst on vehicle performance is essential for identifying burst incidents and developing stability control strategies. The research on burst identification primarily focuses on early warning systems and estimating vehicle state parameters after burst incidents, while the current research on stability control strategies focuses on enabling vehicles to continue running safely after burst incidents through braking, active steering, and collaborative control. Currently, there is no comprehensive review of research on vehicle tire burst stability control. Therefore, this paper primarily reviews five aspects: (a) the causes and prevention of tire burst, (b) the impact of tire burst on vehicle performance, (c) burst identification, (d) stability control strategies for burst incidents, and (e) future prospects for tire burst research.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tesla valves are widely used in the field of fluid control. To study the hydraulic performance of straight-through Tesla valves in forward and reverse flow, 16 straight-through Tesla valves with diverse blade parameters were designed in this paper, and hydraulic loss tests were carried out in forward and reverse flow under different working conditions. The results show that the hydraulic loss increases with the increasing working flow rate in forward and reverse flow; at the identical flow rate, the reverse loss is higher than the forward loss. Both the hydraulic loss through the valve and the unidirectional conductivity of the valve increase with increasing blade length, pitch, and number of blades, but too long of a length results in weakened unidirectional conductivity. The hydraulic loss increases with the increase of blade angle, and the unidirectional conductivity decreases with the increase of blade angle. When the blades are arranged in perfect symmetry, the hydraulic loss through the valve is maximum, and the valve has the best unidirectional conductivity.
{"title":"Hydraulic loss experiment of straight-through Tesla valve in forward and reverse directions","authors":"Yan-Juan Zhao, Jiang-Bo Tong, Yu-Liang Zhang, Xiao-Wei Xu, Liang-Huai Tong","doi":"10.1177/00368504241269433","DOIUrl":"https://doi.org/10.1177/00368504241269433","url":null,"abstract":"Tesla valves are widely used in the field of fluid control. To study the hydraulic performance of straight-through Tesla valves in forward and reverse flow, 16 straight-through Tesla valves with diverse blade parameters were designed in this paper, and hydraulic loss tests were carried out in forward and reverse flow under different working conditions. The results show that the hydraulic loss increases with the increasing working flow rate in forward and reverse flow; at the identical flow rate, the reverse loss is higher than the forward loss. Both the hydraulic loss through the valve and the unidirectional conductivity of the valve increase with increasing blade length, pitch, and number of blades, but too long of a length results in weakened unidirectional conductivity. The hydraulic loss increases with the increase of blade angle, and the unidirectional conductivity decreases with the increase of blade angle. When the blades are arranged in perfect symmetry, the hydraulic loss through the valve is maximum, and the valve has the best unidirectional conductivity.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-17DOI: 10.1177/00368504241278476
Adegbenga Bankole, Jane Nwaonu
This review article discusses neonatal lupus syndrome (NLS), an immune-mediated disease caused by maternal antibodies. Maternal antibodies in the fetal circulation are mostly but not always protective. NLS is a disease caused by pathogenic maternal autoantibodies in the fetal circulation. The passive immunization of the fetus by NLS-causing maternal antibodies may occur in the absence of a previously known maternal systemic autoimmune rheumatic disease (SARD). Screening for NLS-related antibodies in patients with related SARD or those in whom there is a risk of NLS including first-degree relatives should occur before pregnancy. This screening is best performed as part of a collaborative relationship between obstetrics and rheumatology. Pregnancy preparations in those with SARD include transitioning to pregnancy-safe medications. The symptoms of NLS range from minor skin rashes to fetal demise from heart block. Fetal screening allows for maternal therapeutic interventions that may be beneficial, as well as the use of fetal pacemakers in the more severe cases that include cardiac NLS.
{"title":"A review of neonatal lupus syndrome","authors":"Adegbenga Bankole, Jane Nwaonu","doi":"10.1177/00368504241278476","DOIUrl":"https://doi.org/10.1177/00368504241278476","url":null,"abstract":"This review article discusses neonatal lupus syndrome (NLS), an immune-mediated disease caused by maternal antibodies. Maternal antibodies in the fetal circulation are mostly but not always protective. NLS is a disease caused by pathogenic maternal autoantibodies in the fetal circulation. The passive immunization of the fetus by NLS-causing maternal antibodies may occur in the absence of a previously known maternal systemic autoimmune rheumatic disease (SARD). Screening for NLS-related antibodies in patients with related SARD or those in whom there is a risk of NLS including first-degree relatives should occur before pregnancy. This screening is best performed as part of a collaborative relationship between obstetrics and rheumatology. Pregnancy preparations in those with SARD include transitioning to pregnancy-safe medications. The symptoms of NLS range from minor skin rashes to fetal demise from heart block. Fetal screening allows for maternal therapeutic interventions that may be beneficial, as well as the use of fetal pacemakers in the more severe cases that include cardiac NLS.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1177/00368504241278823
Walid Bakry, Xuan-Hoa Nghiem, Muhammad Ishaq Bhatti, Somar Al-Mohamad, Lianbiao Cui
ObjectivesThis paper investigates the role of digital finance in promoting environmental sustainability within a group of 52 developing economies from 2010 to 2019. Specifically, it examines whether digital finance effectively contributes reducing CO2 emissions in these nations.MethodsThis paper is a quantitative study which employs the IV-GMM (instrumental variable generalized methods of moment) approach that tackles any potential endogeneity. Furthermore, to ensure robustness of results, this paper also utilizes different measures of financial development.ResultsEstimation results from this study reveal the presence of inverted U-shaped relationship between digital finance and CO2 emissions. This suggests that the beneficial effects of digital finance may take time to materialize. Additionally, this research also records the presence of the Environmental Kuznets Curve and a significant impact of renewable energy, trade openness, financial development, urbanization, and population on CO2 emissions.ConclusionsIt can be concluded that it may take time for digital finance to become beneficial to the environment. Therefore, in addition to digital finance, countries should also adopt other measures simultaneously (use of renewable energy, combination between digital finance and financial development).
本文研究了 2010 年至 2019 年数字金融在 52 个发展中经济体中促进环境可持续性的作用。方法本文是一项定量研究，采用了 IV-GMM（工具变量广义矩方法）方法来解决任何潜在的内生性问题。此外，为确保结果的稳健性，本文还采用了不同的金融发展衡量指标。结果本研究的估计结果显示，数字金融与二氧化碳排放之间存在倒 U 型关系。这表明，数字金融的有利影响可能需要一段时间才能实现。此外，本研究还记录了环境库兹涅茨曲线的存在，以及可再生能源、贸易开放度、金融发展、城市化和人口对二氧化碳排放的显著影响。因此，除数字金融外，各国还应同时采取其他措施（使用可再生能源、数字金融与金融发展相结合）。
{"title":"Digital finance and sustainable development: Evidence from developing nations","authors":"Walid Bakry, Xuan-Hoa Nghiem, Muhammad Ishaq Bhatti, Somar Al-Mohamad, Lianbiao Cui","doi":"10.1177/00368504241278823","DOIUrl":"https://doi.org/10.1177/00368504241278823","url":null,"abstract":"ObjectivesThis paper investigates the role of digital finance in promoting environmental sustainability within a group of 52 developing economies from 2010 to 2019. Specifically, it examines whether digital finance effectively contributes reducing CO<jats:sub>2</jats:sub> emissions in these nations.MethodsThis paper is a quantitative study which employs the IV-GMM (instrumental variable generalized methods of moment) approach that tackles any potential endogeneity. Furthermore, to ensure robustness of results, this paper also utilizes different measures of financial development.ResultsEstimation results from this study reveal the presence of inverted U-shaped relationship between digital finance and CO<jats:sub>2</jats:sub> emissions. This suggests that the beneficial effects of digital finance may take time to materialize. Additionally, this research also records the presence of the Environmental Kuznets Curve and a significant impact of renewable energy, trade openness, financial development, urbanization, and population on CO<jats:sub>2</jats:sub> emissions.ConclusionsIt can be concluded that it may take time for digital finance to become beneficial to the environment. Therefore, in addition to digital finance, countries should also adopt other measures simultaneously (use of renewable energy, combination between digital finance and financial development).","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1177/00368504241275371
Muzammil Khan, Fahmida Gulan, Muhammad Arshad, Abnash Zaman, Ammara Riaz
Computer-advanced technologies have a significant impact across various fields. It is widely recognized that diseases have a detrimental effect on crop productivity and can significantly impact the economy, particularly in agricultural countries. Tomatoes hold great economic importance among cash crops, second only to potatoes. Globally, tomato production reaches a staggering 160 million tons annually, making it even more crucial for agricultural development. Unfortunately, the tomato crop is susceptible to several diseases, with early blight and late blight as two prominent culprits responsible for a production decrease of around 79%. Traditional disease detection and identification methods are time-consuming, expensive, and destructive, often requiring pathologists’ expertise. Thus, the primary research objective is to enhance disease identification accuracy by leveraging deep learning techniques. A model based on the inception-V3 architecture has been devised to classify diseases affecting tomato plant leaves. The model was trained and tested using the PlantVillage dataset, which comprises 6000 sample images of tomato leaves. The training and testing process utilized an 80 : 20 ratio, resulting in an impressive classification accuracy of 97.44% for the proposed model. The proposed solution aims to enable the tomato industry to thrive in the global market by mitigating the impact of tomato leaf diseases. By reducing the prevalence of these diseases, the solution can increase demand and contribute to the industry’s growth.
{"title":"Early and late blight disease identification in tomato plants using a neural network-based model to augmenting agricultural productivity","authors":"Muzammil Khan, Fahmida Gulan, Muhammad Arshad, Abnash Zaman, Ammara Riaz","doi":"10.1177/00368504241275371","DOIUrl":"https://doi.org/10.1177/00368504241275371","url":null,"abstract":"Computer-advanced technologies have a significant impact across various fields. It is widely recognized that diseases have a detrimental effect on crop productivity and can significantly impact the economy, particularly in agricultural countries. Tomatoes hold great economic importance among cash crops, second only to potatoes. Globally, tomato production reaches a staggering 160 million tons annually, making it even more crucial for agricultural development. Unfortunately, the tomato crop is susceptible to several diseases, with early blight and late blight as two prominent culprits responsible for a production decrease of around 79%. Traditional disease detection and identification methods are time-consuming, expensive, and destructive, often requiring pathologists’ expertise. Thus, the primary research objective is to enhance disease identification accuracy by leveraging deep learning techniques. A model based on the inception-V3 architecture has been devised to classify diseases affecting tomato plant leaves. The model was trained and tested using the PlantVillage dataset, which comprises 6000 sample images of tomato leaves. The training and testing process utilized an 80 : 20 ratio, resulting in an impressive classification accuracy of 97.44% for the proposed model. The proposed solution aims to enable the tomato industry to thrive in the global market by mitigating the impact of tomato leaf diseases. By reducing the prevalence of these diseases, the solution can increase demand and contribute to the industry’s growth.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1177/00368504241274999
Yuehai Tu, Feng Tu, Yun Yang, Jiaqi Qian, Xi Wu, Sian Yang
With the rapid pace of urbanization and industrialization, the demand for electricity has surged, placing immense pressure on power management systems. Substation DC systems play a crucial role in managing these fluctuations to ensure a stable and reliable power supply. However, existing battery charging and discharging strategies often suffer from inefficiencies, which can negatively impact overall system performance and sustainability. In this study, we introduce a novel approach that leverages artificial intelligence and time series predictive analytics through the dual self-attention network-neural basis expansion analysis for time series (DSAN-N-BEATS) model. This model integrates the self-attention network with the neural basis expansion analysis for time series (N-BEATS) model to accurately capture time-series data and optimize battery management. Our experimental results demonstrate that the DSAN-N-BEATS model significantly enhances battery state prediction accuracy, achieving a 95.84% accuracy rate, and improves charging and discharging efficiency by 20% compared to traditional methods. These improvements contribute to the overall reliability and sustainability of power systems. This research provides innovative methods for optimizing battery strategies, supporting sustainable development in the power industry, and enhancing system stability and reliability.
{"title":"Optimization of battery charging and discharging strategies in substation DC systems using the dual self-attention network-N-BEATS model","authors":"Yuehai Tu, Feng Tu, Yun Yang, Jiaqi Qian, Xi Wu, Sian Yang","doi":"10.1177/00368504241274999","DOIUrl":"https://doi.org/10.1177/00368504241274999","url":null,"abstract":"With the rapid pace of urbanization and industrialization, the demand for electricity has surged, placing immense pressure on power management systems. Substation DC systems play a crucial role in managing these fluctuations to ensure a stable and reliable power supply. However, existing battery charging and discharging strategies often suffer from inefficiencies, which can negatively impact overall system performance and sustainability. In this study, we introduce a novel approach that leverages artificial intelligence and time series predictive analytics through the dual self-attention network-neural basis expansion analysis for time series (DSAN-N-BEATS) model. This model integrates the self-attention network with the neural basis expansion analysis for time series (N-BEATS) model to accurately capture time-series data and optimize battery management. Our experimental results demonstrate that the DSAN-N-BEATS model significantly enhances battery state prediction accuracy, achieving a 95.84% accuracy rate, and improves charging and discharging efficiency by 20% compared to traditional methods. These improvements contribute to the overall reliability and sustainability of power systems. This research provides innovative methods for optimizing battery strategies, supporting sustainable development in the power industry, and enhancing system stability and reliability.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1177/00368504241275417
Shaik Noorjahan, Shaik Sharief Basha
An intuitionistic fuzzy rough model is a powerful tool for dealing with complex uncertainty and imprecision in graph-based models, combining the strengths of intuitionistic fuzzy sets and rough sets. In this research, a correlation coefficient is an established tool for finding the strength of the relationship between two intuitionistic fuzzy rough graphs since correlation coefficients are very capable of processing and interpreting data. Furthermore, an intuitionistic fuzzy rough environment is integrated with attribute decision-making based on correlation coefficients. In order to measure the correlation between two intuitionistic fuzzy rough graphs, this suggests utilising the correlation coefficient concept and weighted correlation coefficient. In order to identify decision-making issues that are supported by intuitionistic fuzzy rough preference relations, the Laplacian energy and new correlation coefficient of intuitionistic fuzzy rough graphs are calculated in this study. We propose a new approach to computing the relative position loads of establishments by adjusting the correlation coefficient between one personality's intuitionistic fuzzy rough preference relation and the other items, as well as the undecided corroboration of the intuitionistic fuzzy rough preference relation. This paper determines the ranking order of all alternatives and the best one by using the correlation coefficient between each option and the ideal choice. In the meantime, the appropriate example improves decision-making for robotic vacuum cleaners by effectively handling uncertain and imprecise data, thereby optimising cleaning performance.
{"title":"Developing an intuitionistic fuzzy rough new correlation coefficient approach for enhancing robotic vacuum cleaner","authors":"Shaik Noorjahan, Shaik Sharief Basha","doi":"10.1177/00368504241275417","DOIUrl":"https://doi.org/10.1177/00368504241275417","url":null,"abstract":"An intuitionistic fuzzy rough model is a powerful tool for dealing with complex uncertainty and imprecision in graph-based models, combining the strengths of intuitionistic fuzzy sets and rough sets. In this research, a correlation coefficient is an established tool for finding the strength of the relationship between two intuitionistic fuzzy rough graphs since correlation coefficients are very capable of processing and interpreting data. Furthermore, an intuitionistic fuzzy rough environment is integrated with attribute decision-making based on correlation coefficients. In order to measure the correlation between two intuitionistic fuzzy rough graphs, this suggests utilising the correlation coefficient concept and weighted correlation coefficient. In order to identify decision-making issues that are supported by intuitionistic fuzzy rough preference relations, the Laplacian energy and new correlation coefficient of intuitionistic fuzzy rough graphs are calculated in this study. We propose a new approach to computing the relative position loads of establishments by adjusting the correlation coefficient between one personality's intuitionistic fuzzy rough preference relation and the other items, as well as the undecided corroboration of the intuitionistic fuzzy rough preference relation. This paper determines the ranking order of all alternatives and the best one by using the correlation coefficient between each option and the ideal choice. In the meantime, the appropriate example improves decision-making for robotic vacuum cleaners by effectively handling uncertain and imprecise data, thereby optimising cleaning performance.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1177/00368504241283315
Feiyan Sun, Wenning Hao, Ao Zou, Kai Cheng
Spatiotemporal (ST) graph modeling has garnered increasing attention recently. Most existing methods rely on a predefined graph structure or construct a single learnable graph throughout training. However, it is challenging to use a predefined graph structure to capture dynamic ST changes effectively due to evolving node relationships over time. Furthermore, these methods typically utilize only the original data, neglecting external temporal factors. Therefore, we put forward a novel time-varying graph convolutional network model that integrates external factors for multifeature ST series prediction. Firstly, we construct a time-varying adjacency matrix using attention to capture dynamic spatial relationships among nodes. The graph structure adapts over time during training, validation, and testing phases. Then, we model temporal dependence by dilated causal convolution, leveraging gated activation unit and residual connection. Notably, the prediction accuracy is enhanced through the incorporation of embedding absolute time and the fusion of multifeature. This model has been applied to three real-world multifeature datasets, achieving state-of-the-art performance in all cases. Experiments show that the method has high accuracy and robustness when applied to multifeature and multivariate ST series problems.
时空（ST）图建模近来受到越来越多的关注。现有的大多数方法都依赖于预定义的图结构，或者在整个训练过程中构建一个单一的可学习图。然而，由于节点关系会随着时间的推移而不断演变，因此使用预定义的图结构来有效捕捉动态的 ST 变化具有挑战性。此外，这些方法通常只利用原始数据，忽略了外部时间因素。因此，我们提出了一种新颖的时变图卷积网络模型，该模型整合了外部因素，用于多特征 ST 序列预测。首先，我们利用注意力构建时变邻接矩阵，捕捉节点之间的动态空间关系。在训练、验证和测试阶段，图结构会随时间而调整。然后，我们利用门控激活单元和残差连接，通过扩张因果卷积对时间依赖性进行建模。值得注意的是，通过嵌入绝对时间和融合多特征，预测的准确性得到了提高。该模型已被应用于三个真实世界的多特征数据集，在所有情况下都达到了最先进的性能。实验表明，该方法在应用于多特征和多变量 ST 序列问题时具有很高的准确性和鲁棒性。
{"title":"TVGCN: Time-varying graph convolutional networks for multivariate and multifeature spatiotemporal series prediction","authors":"Feiyan Sun, Wenning Hao, Ao Zou, Kai Cheng","doi":"10.1177/00368504241283315","DOIUrl":"https://doi.org/10.1177/00368504241283315","url":null,"abstract":"Spatiotemporal (ST) graph modeling has garnered increasing attention recently. Most existing methods rely on a predefined graph structure or construct a single learnable graph throughout training. However, it is challenging to use a predefined graph structure to capture dynamic ST changes effectively due to evolving node relationships over time. Furthermore, these methods typically utilize only the original data, neglecting external temporal factors. Therefore, we put forward a novel time-varying graph convolutional network model that integrates external factors for multifeature ST series prediction. Firstly, we construct a time-varying adjacency matrix using attention to capture dynamic spatial relationships among nodes. The graph structure adapts over time during training, validation, and testing phases. Then, we model temporal dependence by dilated causal convolution, leveraging gated activation unit and residual connection. Notably, the prediction accuracy is enhanced through the incorporation of embedding absolute time and the fusion of multifeature. This model has been applied to three real-world multifeature datasets, achieving state-of-the-art performance in all cases. Experiments show that the method has high accuracy and robustness when applied to multifeature and multivariate ST series problems.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142262726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-12DOI: 10.1177/00368504241280252
Kyeong-Suk Park, Hong-Chan Kim, Sungsu Lee, Hyong-Ho Cho
ObjectiveThis prospective study assessed the efficacy of the Cochlear™ Osia® 2 System compared to the previous Baha® Attract System in patients with mixed or conductive hearing loss (MHL/CHL).MethodsIn this prospective case-control study, 10 patients (2 men and 8 women) with MHL/CHL were implanted with the Osia® 2 System. Their audiological outcomes were compared with 13 patients (2 men and 11 women) who had previously been implanted with the transcutaneous Baha® Attract system. We compared the complications and compliance of the two groups. Also, in the Osia 2 System group, subjective satisfaction was assessed using the Korean version of the International Outcome Inventory for Hearing Aids (K-IOI-HA) questionnaire and the Abbreviated Profile of Hearing Aid Benefit (APHAB) questionnaire.ResultsComplications such as poor magnetization, pain & infection, and abnormal noise were more common in the Baha Attract group, although not statistically significant. Also, the Osia 2 group exhibited better compliance. Subjective satisfaction was assessed using the K-IOI-HA and APHAB questionnaires with the Osia 2 group, revealing significantly improved scores in ease of communication, reverberation, background noise, and higher K-IOI-HA scores post-implantation. Postoperative-aided thresholds with both systems were significantly lower than preoperative-unaided thresholds, with the Osia 2 System demonstrating notably high satisfaction levels. Although both systems showed similar preoperative and postoperative word-recognition scores, the Osia 2 System provided greater audiological gain, especially at 2 kHz and 4 kHz frequencies. Additionally, the functional gain of both systems was comparable across all frequencies.ConclusionsThe Osia 2 System demonstrated high subjective satisfaction and improved audiological outcomes compared to the Baha Attract system in patients with conductive or mixed hearing loss. Its superior audiological gain, particularly at critical frequencies, along with better compliance, suggests it as a favorable option for this patient population.
{"title":"The impact of the Cochlear™ Osia® 2 System on patients with mixed or conductive hearing loss: A comparison with Cochlear™ Baha® Attract System outcomes","authors":"Kyeong-Suk Park, Hong-Chan Kim, Sungsu Lee, Hyong-Ho Cho","doi":"10.1177/00368504241280252","DOIUrl":"https://doi.org/10.1177/00368504241280252","url":null,"abstract":"ObjectiveThis prospective study assessed the efficacy of the Cochlear™ Osia<jats:sup>®</jats:sup> 2 System compared to the previous Baha<jats:sup>®</jats:sup> Attract System in patients with mixed or conductive hearing loss (MHL/CHL).MethodsIn this prospective case-control study, 10 patients (2 men and 8 women) with MHL/CHL were implanted with the Osia<jats:sup>®</jats:sup> 2 System. Their audiological outcomes were compared with 13 patients (2 men and 11 women) who had previously been implanted with the transcutaneous Baha<jats:sup>®</jats:sup> Attract system. We compared the complications and compliance of the two groups. Also, in the Osia 2 System group, subjective satisfaction was assessed using the Korean version of the International Outcome Inventory for Hearing Aids (K-IOI-HA) questionnaire and the Abbreviated Profile of Hearing Aid Benefit (APHAB) questionnaire.ResultsComplications such as poor magnetization, pain & infection, and abnormal noise were more common in the Baha Attract group, although not statistically significant. Also, the Osia 2 group exhibited better compliance. Subjective satisfaction was assessed using the K-IOI-HA and APHAB questionnaires with the Osia 2 group, revealing significantly improved scores in ease of communication, reverberation, background noise, and higher K-IOI-HA scores post-implantation. Postoperative-aided thresholds with both systems were significantly lower than preoperative-unaided thresholds, with the Osia 2 System demonstrating notably high satisfaction levels. Although both systems showed similar preoperative and postoperative word-recognition scores, the Osia 2 System provided greater audiological gain, especially at 2 kHz and 4 kHz frequencies. Additionally, the functional gain of both systems was comparable across all frequencies.ConclusionsThe Osia 2 System demonstrated high subjective satisfaction and improved audiological outcomes compared to the Baha Attract system in patients with conductive or mixed hearing loss. Its superior audiological gain, particularly at critical frequencies, along with better compliance, suggests it as a favorable option for this patient population.","PeriodicalId":56061,"journal":{"name":"Science Progress","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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