AIM:To compare and analyse the diagnostic efficacy of the College of Optometrists Vision Development Quality of Life Questionnaire(COVD-QOL)and the Convergence Insufficiency Symptom Survey(CISS)in detecting convergenc...AIM:To compare and analyse the diagnostic efficacy of the College of Optometrists Vision Development Quality of Life Questionnaire(COVD-QOL)and the Convergence Insufficiency Symptom Survey(CISS)in detecting convergence insufficiency and to compare their diagnostic value in clinical applications.METHODS:Using the diagnostic test method,62 adult patients with convergence insufficiency(age:24.74±3.75y)and 62 normal participants(age:23.61±3.13y)who visited the Optometry Clinic of West China Hospital of Sichuan University from April 2021 to January 2023 were included.All subjects completed the CISS and COVD-QOL.Statistical analysis of the sensitivity and specificity of the CISS and COVD-QOL and comparison and joint experimental analysis of their diagnostic efficacy were performed.RESULTS:The sensitivity of the CISS and COVD-QOL for convergence insufficiency was 64.5%and 71.0%,respectively,while the specificity was 96.8%and 67.7%,respectively.Compared to the CISS alone,the combination of the CISS and COVD-QOL demonstrated lower sensitivity and specificity.The areas under the receiver operating characteristic curve of CISS,COVD-QOL and CISS combined with COVD-QOL were 0.806,0.694 and 0.782,respectively.CONCLUSION:Considering the low sensitivity of the CISS and the low specificity of the COVD-QOL,it is recommended to supplement these questionnaires with other screening tests for the detection of convergence insufficiency.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
Technological innovations have revolutionized the educational technology into various dimensions. Educational processes without educational technology have no value in this modern world. In education domain, the educa...Technological innovations have revolutionized the educational technology into various dimensions. Educational processes without educational technology have no value in this modern world. In education domain, the educational software has simplified the processes in greater extend. A implemented while developing such educational software. In particu proper lar, the development methodology has to be software developed to enrich these education processes should follow a development strategy to motivate the end users to utilize the hypermedia potentials. The software development life cycle （SDLC） has different phases in designing such educationa technology and assists the end users to benefit from the modern technology. This study identifies the various factors to be considered at each phase of the SDLC while developing educational software. Also, this study proposes some suggestions to be followed in ESDLC with respect to educational processes perspectives. The core idea of this study is to identify the various issues in implementing such educational software in day to day teaching and learning processes.展开更多
Security is critical to the success of software,particularly in today’s fast-paced,technology-driven environment.It ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).T...Security is critical to the success of software,particularly in today’s fast-paced,technology-driven environment.It ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).This is only possible if security is taken into account at all stages of the SDLC(Software Development Life Cycle).Various approaches to software quality have been developed,such as CMMI(Capabilitymaturitymodel integration).However,there exists no explicit solution for incorporating security into all phases of SDLC.One of the major causes of pervasive vulnerabilities is a failure to prioritize security.Even the most proactive companies use the“patch and penetrate”strategy,inwhich security is accessed once the job is completed.Increased cost,time overrun,not integrating testing and input in SDLC,usage of third-party tools and components,and lack of knowledge are all reasons for not paying attention to the security angle during the SDLC,despite the fact that secure software development is essential for business continuity and survival in today’s ICT world.There is a need to implement best practices in SDLC to address security at all levels.To fill this gap,we have provided a detailed overview of secure software development practices while taking care of project costs and deadlines.We proposed a secure SDLC framework based on the identified practices,which integrates the best security practices in various SDLC phases.A mathematical model is used to validate the proposed framework.A case study and findings show that the proposed system aids in the integration of security best practices into the overall SDLC,resulting in more secure applications.展开更多
A carefully planned software development process helps in maintaining the quality of the software.In today’s scenario the primitive software development models have been replaced by the Agile based models like SCRUM,...A carefully planned software development process helps in maintaining the quality of the software.In today’s scenario the primitive software development models have been replaced by the Agile based models like SCRUM,KANBAN,LEAN,etc.Although,every framework has its own boon,the reason for widespread acceptance of the agile-based approach is its evolutionary nature that permits change in the path of software development.The development process occurs in iterative and incremental cycles called sprints.In SCRUM,which is one of the most widely used agile-based software development modeling framework;the sprint length is fixed throughout the process wherein;it is usually taken to be 1–4 weeks.But in practical application,the sprint length should be altered intuitively as per the requirement.To overcome this limitation,in this paper,a methodical work has been presented that determines the optimal sprint length based on two varied and yet connected attributes;the cost incurred and the work intensity required.The approach defines the number of tasks performed in each sprint along with the corresponding cost incurred in performing those tasks.Multi-attribute utility theory(MAUT),a multi-criterion decision making approach,has been utilized to find the required trade-off between two attributes under consideration.The proposed modeling framework has been validated using real life data set.With the use of the model,the optimal sprint for each sprint could be evaluated which was much shorter than the original length.Thus,the results obtained validate the proposal of a dynamic sprint length that can be determined before the start of each sprint.The structure would help in cost as well as time savings for a firm.展开更多
The starting point for many research articles on the topic of Autism Spectrum Disorders (ASD) includes the following phrase: “ASD is a neurodevelopmental disorder…” The author agrees that ASD is neurodevelopmental,...The starting point for many research articles on the topic of Autism Spectrum Disorders (ASD) includes the following phrase: “ASD is a neurodevelopmental disorder…” The author agrees that ASD is neurodevelopmental, and calls into question the word “disorder”, proposing that rather than being a disorder, autism and other neurodivergent traits are best understood as a way of utilizing the computational strengths of the human brain to adapt to the environments in which human beings live, learn, work and play. Building on research from the field of computational neuroscience, the author provides an alternative understanding of what it means to be autistic and how to best support people on the autism spectrum to successfully adapt to the world in which we all live.展开更多
To review the reported neurodevelopmental outcome of congenital diaphragmatic hernia(CDH) survivors, identify important predictors of developmental disabilities, and describe the pathophysiological mechanisms contribu...To review the reported neurodevelopmental outcome of congenital diaphragmatic hernia(CDH) survivors, identify important predictors of developmental disabilities, and describe the pathophysiological mechanisms contributing to adverse outcome. A Medline search was performed for English-language articles cross-referencing CDH with pertinent search terms. Retrospective, prospective, and longitudinal follow-up studies were examined. The reference lists of identified articles were also searched. Neurodevelopmental dysfunction has been recognized as one of most common and potentially most disabling outcome of CDH. Intelligence appears to be in the low normal to mildly delayed range. Neuromotor dysfunction is common during early childhood. Behavioral problems, hearing impairment, and quality of life related issues are frequently encountered in older children and adolescence. Disease severity correlates with the degree of neurological dysfunction. Neurodevelopmental follow-up in CDH children should become standard of care to identify those who would benefit from early intervention services and improve neurological outcomes.展开更多
At present,hundreds of cloud vendors in the global market provide various services based on a customer’s requirements.All cloud vendors are not the same in terms of the number of services,infrastructure availability,...At present,hundreds of cloud vendors in the global market provide various services based on a customer’s requirements.All cloud vendors are not the same in terms of the number of services,infrastructure availability,security strategies,cost per customer,and reputation in the market.Thus,software developers and organizations face a dilemma when choosing a suitable cloud vendor for their developmental activities.Thus,there is a need to evaluate various cloud service providers(CSPs)and platforms before choosing a suitable vendor.Already existing solutions are either based on simulation tools as per the requirements or evaluated concerning the quality of service attributes.However,they require more time to collect data,simulate and evaluate the vendor.The proposed work compares various CSPs in terms of major metrics,such as establishment,services,infrastructure,tools,pricing models,market share,etc.,based on the comparison,parameter ranking,and weightage allocated.Furthermore,the parameters are categorized depending on the priority level.The weighted average is calculated for each CSP,after which the values are sorted in descending order.The experimental results show the unbiased selection of CSPs based on the chosen parameters.The proposed parameter-ranking priority level weightage(PRPLW)algorithm simplifies the selection of the best-suited cloud vendor in accordance with the requirements of software development.展开更多
文摘AIM:To compare and analyse the diagnostic efficacy of the College of Optometrists Vision Development Quality of Life Questionnaire(COVD-QOL)and the Convergence Insufficiency Symptom Survey(CISS)in detecting convergence insufficiency and to compare their diagnostic value in clinical applications.METHODS:Using the diagnostic test method,62 adult patients with convergence insufficiency(age:24.74±3.75y)and 62 normal participants(age:23.61±3.13y)who visited the Optometry Clinic of West China Hospital of Sichuan University from April 2021 to January 2023 were included.All subjects completed the CISS and COVD-QOL.Statistical analysis of the sensitivity and specificity of the CISS and COVD-QOL and comparison and joint experimental analysis of their diagnostic efficacy were performed.RESULTS:The sensitivity of the CISS and COVD-QOL for convergence insufficiency was 64.5%and 71.0%,respectively,while the specificity was 96.8%and 67.7%,respectively.Compared to the CISS alone,the combination of the CISS and COVD-QOL demonstrated lower sensitivity and specificity.The areas under the receiver operating characteristic curve of CISS,COVD-QOL and CISS combined with COVD-QOL were 0.806,0.694 and 0.782,respectively.CONCLUSION:Considering the low sensitivity of the CISS and the low specificity of the COVD-QOL,it is recommended to supplement these questionnaires with other screening tests for the detection of convergence insufficiency.
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.
文摘Technological innovations have revolutionized the educational technology into various dimensions. Educational processes without educational technology have no value in this modern world. In education domain, the educational software has simplified the processes in greater extend. A implemented while developing such educational software. In particu proper lar, the development methodology has to be software developed to enrich these education processes should follow a development strategy to motivate the end users to utilize the hypermedia potentials. The software development life cycle （SDLC） has different phases in designing such educationa technology and assists the end users to benefit from the modern technology. This study identifies the various factors to be considered at each phase of the SDLC while developing educational software. Also, this study proposes some suggestions to be followed in ESDLC with respect to educational processes perspectives. The core idea of this study is to identify the various issues in implementing such educational software in day to day teaching and learning processes.
文摘Security is critical to the success of software,particularly in today’s fast-paced,technology-driven environment.It ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).This is only possible if security is taken into account at all stages of the SDLC(Software Development Life Cycle).Various approaches to software quality have been developed,such as CMMI(Capabilitymaturitymodel integration).However,there exists no explicit solution for incorporating security into all phases of SDLC.One of the major causes of pervasive vulnerabilities is a failure to prioritize security.Even the most proactive companies use the“patch and penetrate”strategy,inwhich security is accessed once the job is completed.Increased cost,time overrun,not integrating testing and input in SDLC,usage of third-party tools and components,and lack of knowledge are all reasons for not paying attention to the security angle during the SDLC,despite the fact that secure software development is essential for business continuity and survival in today’s ICT world.There is a need to implement best practices in SDLC to address security at all levels.To fill this gap,we have provided a detailed overview of secure software development practices while taking care of project costs and deadlines.We proposed a secure SDLC framework based on the identified practices,which integrates the best security practices in various SDLC phases.A mathematical model is used to validate the proposed framework.A case study and findings show that the proposed system aids in the integration of security best practices into the overall SDLC,resulting in more secure applications.
文摘A carefully planned software development process helps in maintaining the quality of the software.In today’s scenario the primitive software development models have been replaced by the Agile based models like SCRUM,KANBAN,LEAN,etc.Although,every framework has its own boon,the reason for widespread acceptance of the agile-based approach is its evolutionary nature that permits change in the path of software development.The development process occurs in iterative and incremental cycles called sprints.In SCRUM,which is one of the most widely used agile-based software development modeling framework;the sprint length is fixed throughout the process wherein;it is usually taken to be 1–4 weeks.But in practical application,the sprint length should be altered intuitively as per the requirement.To overcome this limitation,in this paper,a methodical work has been presented that determines the optimal sprint length based on two varied and yet connected attributes;the cost incurred and the work intensity required.The approach defines the number of tasks performed in each sprint along with the corresponding cost incurred in performing those tasks.Multi-attribute utility theory(MAUT),a multi-criterion decision making approach,has been utilized to find the required trade-off between two attributes under consideration.The proposed modeling framework has been validated using real life data set.With the use of the model,the optimal sprint for each sprint could be evaluated which was much shorter than the original length.Thus,the results obtained validate the proposal of a dynamic sprint length that can be determined before the start of each sprint.The structure would help in cost as well as time savings for a firm.
文摘The starting point for many research articles on the topic of Autism Spectrum Disorders (ASD) includes the following phrase: “ASD is a neurodevelopmental disorder…” The author agrees that ASD is neurodevelopmental, and calls into question the word “disorder”, proposing that rather than being a disorder, autism and other neurodivergent traits are best understood as a way of utilizing the computational strengths of the human brain to adapt to the environments in which human beings live, learn, work and play. Building on research from the field of computational neuroscience, the author provides an alternative understanding of what it means to be autistic and how to best support people on the autism spectrum to successfully adapt to the world in which we all live.
文摘To review the reported neurodevelopmental outcome of congenital diaphragmatic hernia(CDH) survivors, identify important predictors of developmental disabilities, and describe the pathophysiological mechanisms contributing to adverse outcome. A Medline search was performed for English-language articles cross-referencing CDH with pertinent search terms. Retrospective, prospective, and longitudinal follow-up studies were examined. The reference lists of identified articles were also searched. Neurodevelopmental dysfunction has been recognized as one of most common and potentially most disabling outcome of CDH. Intelligence appears to be in the low normal to mildly delayed range. Neuromotor dysfunction is common during early childhood. Behavioral problems, hearing impairment, and quality of life related issues are frequently encountered in older children and adolescence. Disease severity correlates with the degree of neurological dysfunction. Neurodevelopmental follow-up in CDH children should become standard of care to identify those who would benefit from early intervention services and improve neurological outcomes.
文摘At present,hundreds of cloud vendors in the global market provide various services based on a customer’s requirements.All cloud vendors are not the same in terms of the number of services,infrastructure availability,security strategies,cost per customer,and reputation in the market.Thus,software developers and organizations face a dilemma when choosing a suitable cloud vendor for their developmental activities.Thus,there is a need to evaluate various cloud service providers(CSPs)and platforms before choosing a suitable vendor.Already existing solutions are either based on simulation tools as per the requirements or evaluated concerning the quality of service attributes.However,they require more time to collect data,simulate and evaluate the vendor.The proposed work compares various CSPs in terms of major metrics,such as establishment,services,infrastructure,tools,pricing models,market share,etc.,based on the comparison,parameter ranking,and weightage allocated.Furthermore,the parameters are categorized depending on the priority level.The weighted average is calculated for each CSP,after which the values are sorted in descending order.The experimental results show the unbiased selection of CSPs based on the chosen parameters.The proposed parameter-ranking priority level weightage(PRPLW)algorithm simplifies the selection of the best-suited cloud vendor in accordance with the requirements of software development.
