BACKGROUND Acupuncture is emerging as a promising treatment for insomnia.However,the determinants driving patients’decisions to pursue or adopt this treatment moda-lity remain underexplored.AIM To identify the key fa...BACKGROUND Acupuncture is emerging as a promising treatment for insomnia.However,the determinants driving patients’decisions to pursue or adopt this treatment moda-lity remain underexplored.AIM To identify the key factors shaping the willingness of patients with insomnia to seek and engage in acupuncture from a patient-centered perspective.METHODS A semi-structured focus group design was used,with a research framework integrating the capability,opportunity,motivation-behavior model,and theoretical domains framework.The results were mapped onto constructs of a behavioral wheel derived from the capability,opportunity,motivation-behavior/theoretical domains framework matrix.Data analyses employed abductive thematic analysis.RESULTS Data saturation was achieved after ten focus group sessions,involving a total of 45 participants.Key facilitators for patients with insomnia seeking acupuncture included:(1)Cultural beliefs in ethnic medicine;(2)Concerns about the adverse effects of,and dependence on,hypnotics;(3)Expectations of improvement in comorbid symptoms;(4)Desire for more communication with the clinician;and(5)Incentives from peers and online key opinion leaders.Barriers were:(1)Limited knowledge of acupuncture indications;(2)Accessibility burden;(3)Needle-phobia;and(4)Safety concerns.Additionally,prior acupuncture experiences,family/friend attitudes,and treatment costs(reimbursement rate in health insurance)served as both facilitators and barriers.CONCLUSION The interrelated facilitators and barriers underscore that the decision to use acupuncture for insomnia is a complex issue involving efficacy/safety,culture,economics,information dissemination,and communication factors.Expanding patient education on acupuncture,increasing media exposure,and improving governmental oversight of this process are essential.Investing in high-quality acupuncture services in public hospital nighttime clinics and community health centers is expected to address accessibility challenges.Acupuncturists need to improve doctor-patient communication,including guiding patients to set treatment expectations that are grounded in reality to enhance service quality.For patients with significant needle-phobia,cognitive manipulation or hypnosis te-chniques may be employed to improve treatment compliance.展开更多
The effect of deformation of porous material on infiltrative performance is investigated. Based on Darcy theory and Boit principle, the Reynolds equation and mathematical expression of deformable metal rubber （MR） m...The effect of deformation of porous material on infiltrative performance is investigated. Based on Darcy theory and Boit principle, the Reynolds equation and mathematical expression of deformable metal rubber （MR） material under laminar flow are obtained according to the change of porosity of metal rubber. It is shown that the throttle of MR material is dependent on its porosity and diameter of metal wires. It will be of great value for the application of MR in throttle field.展开更多
Life sciences urban developments are a relatively recent phenomenon, and follow the emergence of knowledge based urban developments as a potential driver of urban regeneration and local economic growth. The role of th...Life sciences urban developments are a relatively recent phenomenon, and follow the emergence of knowledge based urban developments as a potential driver of urban regeneration and local economic growth. The role of these new centres in transforming the inner cities of some of the UK＇s larger conurbations is examined and the key planning issues are discussed. The article concludes that the key principles of urban planning and control must still apply in shaping the role these new developments have in the UK＇s evolving urban landscape.展开更多
The field of weather forecasting makes extensive use of radar big data to extract information about precipitation, storms, lightning, and other weather phenomena to aid in the prediction and monitoring of weather chan...The field of weather forecasting makes extensive use of radar big data to extract information about precipitation, storms, lightning, and other weather phenomena to aid in the prediction and monitoring of weather changes. To improve the quality of radar data, machine learning and fuzzy logic algorithms are often used to identify and classify non-meteorological clutter in weather data. However, these methods often require dozens of texture features as inputs and need to manually adjust the thresholds to cope with different clutter types, which leads to significant time costs. In this paper, we propose a multi-scale weighted connected UNet to address these challenges by combining the channel attention feature fusion module and the UNet structure model. The task of recognizing non-meteorological clutter is regarded as a semantic segmentation problem, which eliminates the need to manually set thresholds for clutter pixel-level classification. Additionally, the channel-focused feature fusion mechanism is able to analyze the deep latent features of the input parameters and suppress the useless features, so that only six polarization parameters are required as inputs. Furthermore, the model incorporates full-scale deep supervision to improve the edge segmentation accuracy of clutter and meteorological echoes. Experiments confirm that our proposed model outperforms the compared models in clutter identification with Critical Success Index (CSI) of 0.808.展开更多
To address the limitations of traditional sleep monitoring methods that highly rely on sleeping posture without considering sleep apnea,an intelligent apnea monitoring system is designed based on commodity WiFi in thi...To address the limitations of traditional sleep monitoring methods that highly rely on sleeping posture without considering sleep apnea,an intelligent apnea monitoring system is designed based on commodity WiFi in this paper.By utilizing linear fitting and wavelet transform,the phase error of channel state information(CSI)of the receiving antenna is eliminated,and the noise of the signal amplitude is removed.Moreover,the short-time Fourier transform(STFT)and sliding window method are combined to segment received wireless signals.Finally,several important statistical characteristics are extracted,and a back propagation(BP)neural network model is built to identify apnea state.Thus,interferences caused by changes of sleeping posture are eliminated.Extensive experimental results demonstrate that the proposed system can identify apnea state with an accuracy of over 95.6%.Furthermore,the accuracy can still reach more than 94.8%when the test environment layout is changed.Therefore,the proposed system can be used as a daily apnea monitoring system at home and provide users with health information.展开更多
We present a consensus mechanism in this paper that is designed specifically for supply chain blockchains,with a core focus on establishing trust among participating stakeholders through a novel reputation-based appro...We present a consensus mechanism in this paper that is designed specifically for supply chain blockchains,with a core focus on establishing trust among participating stakeholders through a novel reputation-based approach.The prevailing consensus mechanisms,initially crafted for cryptocurrency applications,prove unsuitable for the unique dynamics of supply chain systems.Unlike the broad inclusivity of cryptocurrency networks,our proposed mechanism insists on stakeholder participation rooted in process-specific quality criteria.The delineation of roles for supply chain participants within the consensus process becomes paramount.While reputation serves as a well-established quality parameter in various domains,its nuanced impact on non-cryptocurrency consensus mechanisms remains uncharted territory.Moreover,recognizing the primary role of efficient block verification in blockchain-enabled supply chains,our work introduces a comprehensive reputation model.This model strategically selects a leader node to orchestrate the entire block mining process within the consensus.Additionally,we innovate with a Schnorr Multisignature-based block verification mechanism seamlessly integrated into our proposed consensus model.Rigorous experiments are conducted to evaluate the performance and feasibility of our pioneering consensus mechanism,contributing valuable insights to the evolving landscape of blockchain technology in supply chain applications.展开更多
Open spaces-whether public,urban,or part of a campus-offer a variety of activities and opportunities to people.Therefore,open spaces should be considered a vital component of any built-up area and designed to meet the...Open spaces-whether public,urban,or part of a campus-offer a variety of activities and opportunities to people.Therefore,open spaces should be considered a vital component of any built-up area and designed to meet the needs and address the comfort of potential users.Because of their presence in daily life and their preponderance of characteristics,open spaces have drawn the attention of many researchers,designers,and planners with varying perspec-tives.The current study takes a scientific approach to analyzing the environmental parameters of the Campus Outdoor Space(COS)in the case of the Eastern Mediterranean University(EMU).An extensive literature review supported the identification of seven important envi-ronmental parameters effective in the microscale analysis of a COS:geographical location,meteorological situation,urban form,surface materials,amount of vegetation and watershed,and anthropogenic pollution.Analysis of the environmental parameters called for a hybrid method that included a detailed field survey and the following set of simulations:sun-path,radiation,sky view factor,and turbulence analysis.The accuracy of the field survey directly con-tributed to the effectiveness of the simulations.Grasshopper®3D software and Computational Fluid Dynamics were used to simulate the conditions of the EMU study area.The outcomes show that the spatial organization,building forms,and building orientation negatively affect the COS of EMU.In the Mediterranean climatic region of EMU,shade and flowing breezes greatly enhance comfort and usability of outdoor spaces from April to October.The massive form of buildings and minimal planning for effective building orientation to the sun increased heat storage capacity and neglected prevailing winds,resulting in flow separation and formation of eddies on the leeward side of buildings.These negatively influenced the microclimate,and thereby user comfort,at the core of the EMU’s main COS.展开更多
Data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes,backed by the confidence of clear and unambiguous data governance.D...Data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes,backed by the confidence of clear and unambiguous data governance.Data Trusts combine the technical infrastructure for sharing data with the governance framework of a legal trust.The concept of a data Trust applied specifically to spatial data offers significant opportunities for new and future applications,addressing some longstanding barriers to data sharing,such as location privacy and data sovereignty.This paper introduces and explores the concept of a‘spatial data Trust’by identifying and explaining the key functions and characteristics required to underpin a data Trust for spatial data.The work identifiesfive key features of spatial data Trusts that demand specific attention and connects these features to a history of relevant work in thefield,including spatial data infrastructures(SDIs),location privacy,and spatial data quality.The conclusions identify several key strands of research for the future development of this rapidly emerging framework for spatial data sharing.展开更多
基金Supported by Scientific Research Fund Project of Shanghai Sanda University,No.2024BSZX03.
文摘BACKGROUND Acupuncture is emerging as a promising treatment for insomnia.However,the determinants driving patients’decisions to pursue or adopt this treatment moda-lity remain underexplored.AIM To identify the key factors shaping the willingness of patients with insomnia to seek and engage in acupuncture from a patient-centered perspective.METHODS A semi-structured focus group design was used,with a research framework integrating the capability,opportunity,motivation-behavior model,and theoretical domains framework.The results were mapped onto constructs of a behavioral wheel derived from the capability,opportunity,motivation-behavior/theoretical domains framework matrix.Data analyses employed abductive thematic analysis.RESULTS Data saturation was achieved after ten focus group sessions,involving a total of 45 participants.Key facilitators for patients with insomnia seeking acupuncture included:(1)Cultural beliefs in ethnic medicine;(2)Concerns about the adverse effects of,and dependence on,hypnotics;(3)Expectations of improvement in comorbid symptoms;(4)Desire for more communication with the clinician;and(5)Incentives from peers and online key opinion leaders.Barriers were:(1)Limited knowledge of acupuncture indications;(2)Accessibility burden;(3)Needle-phobia;and(4)Safety concerns.Additionally,prior acupuncture experiences,family/friend attitudes,and treatment costs(reimbursement rate in health insurance)served as both facilitators and barriers.CONCLUSION The interrelated facilitators and barriers underscore that the decision to use acupuncture for insomnia is a complex issue involving efficacy/safety,culture,economics,information dissemination,and communication factors.Expanding patient education on acupuncture,increasing media exposure,and improving governmental oversight of this process are essential.Investing in high-quality acupuncture services in public hospital nighttime clinics and community health centers is expected to address accessibility challenges.Acupuncturists need to improve doctor-patient communication,including guiding patients to set treatment expectations that are grounded in reality to enhance service quality.For patients with significant needle-phobia,cognitive manipulation or hypnosis te-chniques may be employed to improve treatment compliance.
基金This project is supported by National Natural Science Foundation of China (No.50075017)Municipal Youth Foundation of Harbin, China(No.2003AFQXJ035).
文摘The effect of deformation of porous material on infiltrative performance is investigated. Based on Darcy theory and Boit principle, the Reynolds equation and mathematical expression of deformable metal rubber （MR） material under laminar flow are obtained according to the change of porosity of metal rubber. It is shown that the throttle of MR material is dependent on its porosity and diameter of metal wires. It will be of great value for the application of MR in throttle field.
文摘Life sciences urban developments are a relatively recent phenomenon, and follow the emergence of knowledge based urban developments as a potential driver of urban regeneration and local economic growth. The role of these new centres in transforming the inner cities of some of the UK＇s larger conurbations is examined and the key planning issues are discussed. The article concludes that the key principles of urban planning and control must still apply in shaping the role these new developments have in the UK＇s evolving urban landscape.
基金supported by the National Key Research and Development Program of China(International Technology Cooperation Project,No.2021YFE014400)the China Meteorological Service Association Meteorological Technology Innovation Platform General Project(No.CMSA2023MD004).
文摘The field of weather forecasting makes extensive use of radar big data to extract information about precipitation, storms, lightning, and other weather phenomena to aid in the prediction and monitoring of weather changes. To improve the quality of radar data, machine learning and fuzzy logic algorithms are often used to identify and classify non-meteorological clutter in weather data. However, these methods often require dozens of texture features as inputs and need to manually adjust the thresholds to cope with different clutter types, which leads to significant time costs. In this paper, we propose a multi-scale weighted connected UNet to address these challenges by combining the channel attention feature fusion module and the UNet structure model. The task of recognizing non-meteorological clutter is regarded as a semantic segmentation problem, which eliminates the need to manually set thresholds for clutter pixel-level classification. Additionally, the channel-focused feature fusion mechanism is able to analyze the deep latent features of the input parameters and suppress the useless features, so that only six polarization parameters are required as inputs. Furthermore, the model incorporates full-scale deep supervision to improve the edge segmentation accuracy of clutter and meteorological echoes. Experiments confirm that our proposed model outperforms the compared models in clutter identification with Critical Success Index (CSI) of 0.808.
基金This work was supported by the National Natural Science Foundation of China(61771083,61704015)Science and Technology Research Project of Chongqing Education Commission(KJQN201800625)Chongqing Natural Science Foundation Project(cstc2019jcyjmsxmX0635).
文摘To address the limitations of traditional sleep monitoring methods that highly rely on sleeping posture without considering sleep apnea,an intelligent apnea monitoring system is designed based on commodity WiFi in this paper.By utilizing linear fitting and wavelet transform,the phase error of channel state information(CSI)of the receiving antenna is eliminated,and the noise of the signal amplitude is removed.Moreover,the short-time Fourier transform(STFT)and sliding window method are combined to segment received wireless signals.Finally,several important statistical characteristics are extracted,and a back propagation(BP)neural network model is built to identify apnea state.Thus,interferences caused by changes of sleeping posture are eliminated.Extensive experimental results demonstrate that the proposed system can identify apnea state with an accuracy of over 95.6%.Furthermore,the accuracy can still reach more than 94.8%when the test environment layout is changed.Therefore,the proposed system can be used as a daily apnea monitoring system at home and provide users with health information.
基金made possible by NPRP(NPRP11S-1227-1701359)from the Qatar National Research Fund(a member of Qatar Foundation).
文摘We present a consensus mechanism in this paper that is designed specifically for supply chain blockchains,with a core focus on establishing trust among participating stakeholders through a novel reputation-based approach.The prevailing consensus mechanisms,initially crafted for cryptocurrency applications,prove unsuitable for the unique dynamics of supply chain systems.Unlike the broad inclusivity of cryptocurrency networks,our proposed mechanism insists on stakeholder participation rooted in process-specific quality criteria.The delineation of roles for supply chain participants within the consensus process becomes paramount.While reputation serves as a well-established quality parameter in various domains,its nuanced impact on non-cryptocurrency consensus mechanisms remains uncharted territory.Moreover,recognizing the primary role of efficient block verification in blockchain-enabled supply chains,our work introduces a comprehensive reputation model.This model strategically selects a leader node to orchestrate the entire block mining process within the consensus.Additionally,we innovate with a Schnorr Multisignature-based block verification mechanism seamlessly integrated into our proposed consensus model.Rigorous experiments are conducted to evaluate the performance and feasibility of our pioneering consensus mechanism,contributing valuable insights to the evolving landscape of blockchain technology in supply chain applications.
文摘Open spaces-whether public,urban,or part of a campus-offer a variety of activities and opportunities to people.Therefore,open spaces should be considered a vital component of any built-up area and designed to meet the needs and address the comfort of potential users.Because of their presence in daily life and their preponderance of characteristics,open spaces have drawn the attention of many researchers,designers,and planners with varying perspec-tives.The current study takes a scientific approach to analyzing the environmental parameters of the Campus Outdoor Space(COS)in the case of the Eastern Mediterranean University(EMU).An extensive literature review supported the identification of seven important envi-ronmental parameters effective in the microscale analysis of a COS:geographical location,meteorological situation,urban form,surface materials,amount of vegetation and watershed,and anthropogenic pollution.Analysis of the environmental parameters called for a hybrid method that included a detailed field survey and the following set of simulations:sun-path,radiation,sky view factor,and turbulence analysis.The accuracy of the field survey directly con-tributed to the effectiveness of the simulations.Grasshopper®3D software and Computational Fluid Dynamics were used to simulate the conditions of the EMU study area.The outcomes show that the spatial organization,building forms,and building orientation negatively affect the COS of EMU.In the Mediterranean climatic region of EMU,shade and flowing breezes greatly enhance comfort and usability of outdoor spaces from April to October.The massive form of buildings and minimal planning for effective building orientation to the sun increased heat storage capacity and neglected prevailing winds,resulting in flow separation and formation of eddies on the leeward side of buildings.These negatively influenced the microclimate,and thereby user comfort,at the core of the EMU’s main COS.
文摘Data Trusts are an important emerging approach to enabling the much wider sharing of data from many different sources and for many different purposes,backed by the confidence of clear and unambiguous data governance.Data Trusts combine the technical infrastructure for sharing data with the governance framework of a legal trust.The concept of a data Trust applied specifically to spatial data offers significant opportunities for new and future applications,addressing some longstanding barriers to data sharing,such as location privacy and data sovereignty.This paper introduces and explores the concept of a‘spatial data Trust’by identifying and explaining the key functions and characteristics required to underpin a data Trust for spatial data.The work identifiesfive key features of spatial data Trusts that demand specific attention and connects these features to a history of relevant work in thefield,including spatial data infrastructures(SDIs),location privacy,and spatial data quality.The conclusions identify several key strands of research for the future development of this rapidly emerging framework for spatial data sharing.
