With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and mult...With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and multi-dimensional systems,providing a scientific analytical framework for accurately judging the existence and development of various complex phenomena.The core philosophical views of Marx and Engels,including historical materialism,dialectics,alienation theory,and communism theory,have sparked extensive debates since their proposal-garnering numerous adherents while also facing sharp criticisms-and continue to exert a certain influence on the global intellectual and political arenas.Based on the perspective of the UCST,this paper draws on both the interpretations and developments of their views by proponents such as Lenin,Lukács,and Habermas,as well as the doubts and reflections raised by critics like Popper,Russell,and Hayek.From the dual dimensions of theoretical logic and practical verification,it comprehensively analyzes the theoretical value and inherent limitations of Marx and Engels’core philosophical views.Incorporating practical cases from multiple countries and academic research findings,this study aims to provide a neutral,objective,and pluralistic reference for the rational understanding of Marxist philosophy.展开更多
In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defe...In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.展开更多
The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show...The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show limitations with the inherent uncertainty and imprecision of such data,as they rely on a single-dimensional membership value.To overcome these limitations,we propose an auto-weighted multi-view neutrosophic fuzzy clustering(AW-MVNFC)algorithm.Our method leverages the neutrosophic framework,an extension of fuzzy sets,to explicitly model imprecision and ambiguity through three membership degrees.The core novelty of AWMVNFC lies in a hierarchical weighting strategy that adaptively learns the contributions of both individual data views and the importance of each feature within a view.Through a unified objective function,AW-MVNFC jointly optimizes the neutrosophic membership assignments,cluster centers,and the distributions of view and feature weights.Comprehensive experiments conducted on synthetic and real-world datasets demonstrate that our algorithm achieves more accurate and stable clustering than existing methods,demonstrating its effectiveness in handling the complexities of multi-view data.展开更多
Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction durin...Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction during the imaging process.In this study,a rectangular cross-section field-of-view rotational CL(RC-CL)is proposed for circuit board imaging.Compared to other rotational CL systems,the field of view is the largest and most suitable for rectangular circuit boards.Meanwhile,as the imaging geometry of RC-CL is significantly different from that of cone-beam CT,the Feldkamp-Davis-Kress(FDK)reconstruction algorithm cannot be used directly.However,transferring the projection data to fit into the CBCT geometry using two-dimensional interpolation introduces interpolation errors.Therefore,an FDK-type analytical reconstruction algorithm applicable to RC-CL was developed.The effectiveness of the method was validated through numerical experiments,and the influence of the tilt angle on the reconstruction results was analyzed.Finally,the RC-CL technique was applied to real defect detection research on circuit boards.展开更多
The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary sate...The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary satellites are not timevarying,a primary source of inaccuracy in solar positioning is the use of a single timestamp.Since pixel scanning times can differ significantly across the field-of-view disk(e.g.,by approximately 13 min for Fengyun-4B),this practice leads to errors of up to±2°in solar zenith angle,which translates to±50 W m^(−2) in extraterrestrial irradiance;the errors in solar azimuth angle can exceed±100°.Beyond scanning time,this work also quantifies the impact of other inputs—including altitude,surface pressure,air temperature,difference between Terrestrial Time and Universal Time,and atmospheric refraction—on the resulting angles.A comparison of our precise calculations with the official National Satellite Meteorological Center L1_GEO product shows an accuracy within 0.1°,confirming its utility for most retrieval tasks.To facilitate higher precision when required,this work releases the corresponding satellite and solar positioning codes in both R and Python.展开更多
Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its i...Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.^([1]) Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.展开更多
The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as ill...The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.展开更多
An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is jud...An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is judged by their cross-correlation function, which is also used to calculate their transition time distribution. The mutual information of the connected node pair is employed for transition probability calculation. A false link eliminating approach is proposed, along with a topology updating strategy to improve the learned topology. A real monitoring system with five disjoint cameras is built for experiments. Comparative results with traditional methods show that the proposed method is more accurate in topology learning and is more robust to environmental changes.展开更多
By studying typical "Top Eight Views" in cities like Xining,Lanzhou and Yinchuan in the upper reaches of the Yellow River,mountain and water landscapes in the study area were analyzed in terms of natural eco...By studying typical "Top Eight Views" in cities like Xining,Lanzhou and Yinchuan in the upper reaches of the Yellow River,mountain and water landscapes in the study area were analyzed in terms of natural ecology;bridges,canals,ferries,pavilions,mansions,towers,temples,historical sites,production and living landscapes were analyzed in terms of humanistic ecology.On this basis,"Top Eight Views" in the upper reaches of the Yellow River were compared and the following conclusions obtained:mountain landscapes were distributed in the whole region,waterscapes unevenly valued in different cities,bridges,canals and ferries mostly located in Ningxia,temples commonly found in all cities,garden arts introduced into cities,traditional cultures carried forward by historical relics.Then the relationship between "Top Eight Views" and regional eco-cultures was analyzed,and it was proposed that humanistic and cultural connotations of these "Top Eight Views" contributed a lot to beautifying urban environment,satisfying needs of the locals' spiritual life,carrying forward local history and culture,enriching urban cultural connotations,expanding living spaces of local residents and improving integrated functions of cities."Top Eight Views" culture complied with the construction gist of urban ecological cultures,and was of great referential value for the construction of urban ecological cultures in the upper reaches of the Yellow River,and also the healthy,scientific and sustainable development of local cities.展开更多
The role of implicit and explicit learning,depth of processing and elaboration as well as involvement load hypothesis in second language grammatical acquisition were examined in this paper.We conclude that psychologis...The role of implicit and explicit learning,depth of processing and elaboration as well as involvement load hypothesis in second language grammatical acquisition were examined in this paper.We conclude that psychologists have associated better learning with depth of processing,or degree of elaboration.The Involvement Load Hypothesis can be conceived as a first attempt to stimulate researchers as well as practitioners to operationalize traditional general labels into task-specific components.展开更多
Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based ...Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based rendering （IBR）. Color correction between views is necessary to use multi-view systems in IBR to make audiences feel comfortable when views are switched or when a free viewpoint video is displayed. Color correction usually involves two steps： the first is to adjust camera parameters such as gain, brightness, and aperture before capture, and the second is to modify captured videos through image processing. This paper deals with the latter, which does not need a color pattern board. The proposed method uses scale invariant feature transform （SIFT） to detect correspondences, treats RGB channels independently, calculates lookup tables with an energy-minimization approach, and corrects captured video with these tables. The experimental results reveal that this approach works well.展开更多
In the medical computer tomography （CT） field, total variation （TV）, which is the l1-norm of the discrete gradient transform （DGT）, is widely used as regularization based on the compressive sensing （CS） theory...In the medical computer tomography （CT） field, total variation （TV）, which is the l1-norm of the discrete gradient transform （DGT）, is widely used as regularization based on the compressive sensing （CS） theory. To overcome the TV model＇s disadvantageous tendency of uniformly penalizing the image gradient and over smoothing the low-contrast structures, an iterative algorithm based on the l0-norm optimization of the DGT is proposed. In order to rise to the challenges introduced by the l0-norm DGT, the algorithm uses a pseudo-inverse transform of DGT and adapts an iterative hard thresholding （IHT） algorithm, whose convergence and effective efficiency have been theoretically proven. The simulation demonstrates our conclusions and indicates that the algorithm proposed in this paper can obviously improve the reconstruction quality.展开更多
Background: Breast cancer is one of the commonest cancers in women in the UK and western countries [1]. Follow ups after breast cancer diagnosis is usual practice, but there is no agreed consensus among breast care pr...Background: Breast cancer is one of the commonest cancers in women in the UK and western countries [1]. Follow ups after breast cancer diagnosis is usual practice, but there is no agreed consensus among breast care providers on frequency or duration of follow up after diagnosis and adjuvant treatment. The aim of this study is to find out women’s views on the period of the clinical follow up after breast cancer diagnosis. Method: This was a surveillance study in Greenock and Glasgow in the UK (Between September 2009 and December 2010). The study group comprised of 446 Women, 246 with the history of breast cancer diagnosed 1 - 10 years, (median 4.2 years) were asked to complete a questionnaire about their views of preferred duration of follow up while they were waiting for the annual review at a breast clinic, the same questionnaire was completed by 200 women with no history of breast cancer. Results: Between September 2009 and December 2010, 246 patients were included in the study. 40% of patients were within the first three years of follow up, 27% between the 4th and 6th year and 33% were in follow-up for more than 6 years. 63% of cancer survivors think that, 10 years of follow up is necessary for reassurance, detection and treatment of any new, recurrent or spread of their breast cancer. 14% and 22% of women with a history of breast cancer preferred 3 and 5 years review by trained Radiologist/GP respectively. Women without a history of breast cancer were different in their thoughts about follow up after breast cancer: 10%, 25%, and 30% chosen 10, 5 and 3 years, 35% preferred don’t know the answer. Conclusion: Follow up programs for breast cancer survivors need to be organized, evidence based, flexible and patient tailored. Patients’ views should be taken into account when considering provision of follow-up care for breast cancer patients.展开更多
Family members of a mentally ill person play a crucial role in the recovery of their sick relative. They care for their sick relatives at home and in hospital. Some views of family members indicate that they get satis...Family members of a mentally ill person play a crucial role in the recovery of their sick relative. They care for their sick relatives at home and in hospital. Some views of family members indicate that they get satisfaction from participating in nursing care of their sick relative. The aim of this study was to describe the views of family members about nursing care of psychiatric patients admitted at a mental hospital in Malawi. A qualitative study design was used and data were collected from ten participants through in-depth interviews. Ethical approval was granted by relevant authorities. Data were analysed using Colaizzi method. The findings fell into the following four themes that emerged: family participation in nursing care;nurses’ skills and experience in caring;respect for psychiatric patients and interactions and information sharing. This study offers valuable information about the views of families regarding nursing care of psychiatric patients. They are involved in the care of their sick relatives although there is lack of effective cooperation between them and nurses. The lack of collaboration made families receive inadequate information about their sick relative. Therefore, it is imperative that nurses are competent in implementing family involvement in nursing care.展开更多
基金supported by the start-up funding from Westlake University under Grant Number 041030150118the scientific research project of Westlake University“Theoretical Research and Demonstration Application of Complex Systems and Deep-Sea Technology(Phase I)”under Grant Number WU2025A006.
文摘With holism,dynamics,interconnectedness,and emergence as its core characteristics,the Unified Complex Systems Theory(UCST)focuses on the evolutionary laws and intrinsic mechanisms of multi-element,multi-level,and multi-dimensional systems,providing a scientific analytical framework for accurately judging the existence and development of various complex phenomena.The core philosophical views of Marx and Engels,including historical materialism,dialectics,alienation theory,and communism theory,have sparked extensive debates since their proposal-garnering numerous adherents while also facing sharp criticisms-and continue to exert a certain influence on the global intellectual and political arenas.Based on the perspective of the UCST,this paper draws on both the interpretations and developments of their views by proponents such as Lenin,Lukács,and Habermas,as well as the doubts and reflections raised by critics like Popper,Russell,and Hayek.From the dual dimensions of theoretical logic and practical verification,it comprehensively analyzes the theoretical value and inherent limitations of Marx and Engels’core philosophical views.Incorporating practical cases from multiple countries and academic research findings,this study aims to provide a neutral,objective,and pluralistic reference for the rational understanding of Marxist philosophy.
基金supported by the CCF-NSFOCUS‘Kunpeng’Research Fund(CCF-NSFOCUS2024012).
文摘In recent years,with the rapid development of software systems,the continuous expansion of software scale and the increasing complexity of systems have led to the emergence of a growing number of software metrics.Defect prediction methods based on software metric elements highly rely on software metric data.However,redundant software metric data is not conducive to efficient defect prediction,posing severe challenges to current software defect prediction tasks.To address these issues,this paper focuses on the rational clustering of software metric data.Firstly,multiple software projects are evaluated to determine the preset number of clusters for software metrics,and various clustering methods are employed to cluster the metric elements.Subsequently,a co-occurrence matrix is designed to comprehensively quantify the number of times that metrics appear in the same category.Based on the comprehensive results,the software metric data are divided into two semantic views containing different metrics,thereby analyzing the semantic information behind the software metrics.On this basis,this paper also conducts an in-depth analysis of the impact of different semantic view of metrics on defect prediction results,as well as the performance of various classification models under these semantic views.Experiments show that the joint use of the two semantic views can significantly improve the performance of models in software defect prediction,providing a new understanding and approach at the semantic view level for defect prediction research based on software metrics.
文摘The increasing prevalence of multi-view data has made multi-view clustering a crucial technique for discovering latent structures from heterogeneous representations.However,traditional fuzzy clustering algorithms show limitations with the inherent uncertainty and imprecision of such data,as they rely on a single-dimensional membership value.To overcome these limitations,we propose an auto-weighted multi-view neutrosophic fuzzy clustering(AW-MVNFC)algorithm.Our method leverages the neutrosophic framework,an extension of fuzzy sets,to explicitly model imprecision and ambiguity through three membership degrees.The core novelty of AWMVNFC lies in a hierarchical weighting strategy that adaptively learns the contributions of both individual data views and the importance of each feature within a view.Through a unified objective function,AW-MVNFC jointly optimizes the neutrosophic membership assignments,cluster centers,and the distributions of view and feature weights.Comprehensive experiments conducted on synthetic and real-world datasets demonstrate that our algorithm achieves more accurate and stable clustering than existing methods,demonstrating its effectiveness in handling the complexities of multi-view data.
基金supported by the National Key Research and Development Program of China(No.2022YFF0607802)。
文摘Rotational computed laminography(CL)has broad application potential in three-dimensional imaging of plate-like objects because it only requires X-rays to pass through the tested object in the thickness direction during the imaging process.In this study,a rectangular cross-section field-of-view rotational CL(RC-CL)is proposed for circuit board imaging.Compared to other rotational CL systems,the field of view is the largest and most suitable for rectangular circuit boards.Meanwhile,as the imaging geometry of RC-CL is significantly different from that of cone-beam CT,the Feldkamp-Davis-Kress(FDK)reconstruction algorithm cannot be used directly.However,transferring the projection data to fit into the CBCT geometry using two-dimensional interpolation introduces interpolation errors.Therefore,an FDK-type analytical reconstruction algorithm applicable to RC-CL was developed.The effectiveness of the method was validated through numerical experiments,and the influence of the tilt angle on the reconstruction results was analyzed.Finally,the RC-CL technique was applied to real defect detection research on circuit boards.
基金supported by the National Natural Science Foundation of China(Grant No.42375192).
文摘The calculation of viewing and solar geometry angles is a critical first step in retrieving atmospheric and surface variables from geostationary satellite observations.Whereas the viewing angles for geostationary satellites are not timevarying,a primary source of inaccuracy in solar positioning is the use of a single timestamp.Since pixel scanning times can differ significantly across the field-of-view disk(e.g.,by approximately 13 min for Fengyun-4B),this practice leads to errors of up to±2°in solar zenith angle,which translates to±50 W m^(−2) in extraterrestrial irradiance;the errors in solar azimuth angle can exceed±100°.Beyond scanning time,this work also quantifies the impact of other inputs—including altitude,surface pressure,air temperature,difference between Terrestrial Time and Universal Time,and atmospheric refraction—on the resulting angles.A comparison of our precise calculations with the official National Satellite Meteorological Center L1_GEO product shows an accuracy within 0.1°,confirming its utility for most retrieval tasks.To facilitate higher precision when required,this work releases the corresponding satellite and solar positioning codes in both R and Python.
文摘Monitoring cardiac function is a fundamental component of the diagnosis and management of critically ill patients.While pulmonary artery catheterization has long served as the standard for hemodynamic assessment,its invasive nature and associated risks have shifted clinical practice toward non-invasive modalities.^([1]) Among these methods,point-of-care ultrasound(POCUS) has gained widespread acceptance,offering real-time bedside evaluation of cardiac function.
基金The National Natural Science Foundation of China(No.60972001)the Science and Technology Plan of Suzhou City(No.SG201076)
文摘The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.
基金The National Natural Science Foundation of China(No.60972001)the Science and Technology Plan of Suzhou City(No.SS201223)
文摘An adaptive topology learning approach is proposed to learn the topology of a practical camera network in an unsupervised way. The nodes are modeled by the Gaussian mixture model. The connectivity between nodes is judged by their cross-correlation function, which is also used to calculate their transition time distribution. The mutual information of the connected node pair is employed for transition probability calculation. A false link eliminating approach is proposed, along with a topology updating strategy to improve the learned topology. A real monitoring system with five disjoint cameras is built for experiments. Comparative results with traditional methods show that the proposed method is more accurate in topology learning and is more robust to environmental changes.
基金Supported by Hebei Provincial Social Science Foudation " Ecological Environment and Urban Development in the Upper Reaches of the Yellow River (1368 - 1928) " (HB10GJ016) ~~
文摘By studying typical "Top Eight Views" in cities like Xining,Lanzhou and Yinchuan in the upper reaches of the Yellow River,mountain and water landscapes in the study area were analyzed in terms of natural ecology;bridges,canals,ferries,pavilions,mansions,towers,temples,historical sites,production and living landscapes were analyzed in terms of humanistic ecology.On this basis,"Top Eight Views" in the upper reaches of the Yellow River were compared and the following conclusions obtained:mountain landscapes were distributed in the whole region,waterscapes unevenly valued in different cities,bridges,canals and ferries mostly located in Ningxia,temples commonly found in all cities,garden arts introduced into cities,traditional cultures carried forward by historical relics.Then the relationship between "Top Eight Views" and regional eco-cultures was analyzed,and it was proposed that humanistic and cultural connotations of these "Top Eight Views" contributed a lot to beautifying urban environment,satisfying needs of the locals' spiritual life,carrying forward local history and culture,enriching urban cultural connotations,expanding living spaces of local residents and improving integrated functions of cities."Top Eight Views" culture complied with the construction gist of urban ecological cultures,and was of great referential value for the construction of urban ecological cultures in the upper reaches of the Yellow River,and also the healthy,scientific and sustainable development of local cities.
文摘The role of implicit and explicit learning,depth of processing and elaboration as well as involvement load hypothesis in second language grammatical acquisition were examined in this paper.We conclude that psychologists have associated better learning with depth of processing,or degree of elaboration.The Involvement Load Hypothesis can be conceived as a first attempt to stimulate researchers as well as practitioners to operationalize traditional general labels into task-specific components.
文摘Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based rendering （IBR）. Color correction between views is necessary to use multi-view systems in IBR to make audiences feel comfortable when views are switched or when a free viewpoint video is displayed. Color correction usually involves two steps： the first is to adjust camera parameters such as gain, brightness, and aperture before capture, and the second is to modify captured videos through image processing. This paper deals with the latter, which does not need a color pattern board. The proposed method uses scale invariant feature transform （SIFT） to detect correspondences, treats RGB channels independently, calculates lookup tables with an energy-minimization approach, and corrects captured video with these tables. The experimental results reveal that this approach works well.
文摘In the medical computer tomography （CT） field, total variation （TV）, which is the l1-norm of the discrete gradient transform （DGT）, is widely used as regularization based on the compressive sensing （CS） theory. To overcome the TV model＇s disadvantageous tendency of uniformly penalizing the image gradient and over smoothing the low-contrast structures, an iterative algorithm based on the l0-norm optimization of the DGT is proposed. In order to rise to the challenges introduced by the l0-norm DGT, the algorithm uses a pseudo-inverse transform of DGT and adapts an iterative hard thresholding （IHT） algorithm, whose convergence and effective efficiency have been theoretically proven. The simulation demonstrates our conclusions and indicates that the algorithm proposed in this paper can obviously improve the reconstruction quality.
文摘Background: Breast cancer is one of the commonest cancers in women in the UK and western countries [1]. Follow ups after breast cancer diagnosis is usual practice, but there is no agreed consensus among breast care providers on frequency or duration of follow up after diagnosis and adjuvant treatment. The aim of this study is to find out women’s views on the period of the clinical follow up after breast cancer diagnosis. Method: This was a surveillance study in Greenock and Glasgow in the UK (Between September 2009 and December 2010). The study group comprised of 446 Women, 246 with the history of breast cancer diagnosed 1 - 10 years, (median 4.2 years) were asked to complete a questionnaire about their views of preferred duration of follow up while they were waiting for the annual review at a breast clinic, the same questionnaire was completed by 200 women with no history of breast cancer. Results: Between September 2009 and December 2010, 246 patients were included in the study. 40% of patients were within the first three years of follow up, 27% between the 4th and 6th year and 33% were in follow-up for more than 6 years. 63% of cancer survivors think that, 10 years of follow up is necessary for reassurance, detection and treatment of any new, recurrent or spread of their breast cancer. 14% and 22% of women with a history of breast cancer preferred 3 and 5 years review by trained Radiologist/GP respectively. Women without a history of breast cancer were different in their thoughts about follow up after breast cancer: 10%, 25%, and 30% chosen 10, 5 and 3 years, 35% preferred don’t know the answer. Conclusion: Follow up programs for breast cancer survivors need to be organized, evidence based, flexible and patient tailored. Patients’ views should be taken into account when considering provision of follow-up care for breast cancer patients.
文摘Family members of a mentally ill person play a crucial role in the recovery of their sick relative. They care for their sick relatives at home and in hospital. Some views of family members indicate that they get satisfaction from participating in nursing care of their sick relative. The aim of this study was to describe the views of family members about nursing care of psychiatric patients admitted at a mental hospital in Malawi. A qualitative study design was used and data were collected from ten participants through in-depth interviews. Ethical approval was granted by relevant authorities. Data were analysed using Colaizzi method. The findings fell into the following four themes that emerged: family participation in nursing care;nurses’ skills and experience in caring;respect for psychiatric patients and interactions and information sharing. This study offers valuable information about the views of families regarding nursing care of psychiatric patients. They are involved in the care of their sick relatives although there is lack of effective cooperation between them and nurses. The lack of collaboration made families receive inadequate information about their sick relative. Therefore, it is imperative that nurses are competent in implementing family involvement in nursing care.
