Objective:To evaluate mobile applications available for patients undergoing assisted reproduction and assess the extent of their clinical validation.Methods:A systematic search was conducted in the Apple App Store and...Objective:To evaluate mobile applications available for patients undergoing assisted reproduction and assess the extent of their clinical validation.Methods:A systematic search was conducted in the Apple App Store and Google Play between September 1,2023 and September 30,2023 to identify mobile applications related to assisted reproduction.Apps were evaluated using the mobile app rating scale(MARS).In parallel,a literature search of PubMed,Scopus,Embase,and Web of Science was performed to identify clinical studies related to mobile applications in assisted reproduction.Clinical validation status and MARS scores were recorded,and findings were synthesized to highlight the gap between commercially available apps and research-based evidence.Results:From 1143 apps screened,11 met the inclusion criteria.Mean MARS score across apps was 3.63,with Leeaf scoring the highest(4.60).However,only one application(Embie)was supported by published research.The literature research identified 13 relevant studies,mostly randomized controlled trials,cohort studies,or usability studies.While research-based apps demonstrated clinical utility(e.g.,MediEmo,PreLiFe,Patient Journey App),most were unavailable on app stores.This revealed a disconnect between research-backed applications and those accessible to patients.Conclusions:Although several mobile apps for assisted reproduction demonstrate high usability and quality,few are clinically validated.The lack of integration between research and practice highlights the need for stronger collaboration between researchers,developers,and policymakers to ensure that patients access safe and effective tools.展开更多
Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reduc...Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reducing mortality rates and optimizing healthcare resource allocation.Despite the importance of chest X-ray diagnosis,image analysis presents significant challenges,particularly in regions with limited medical expertise.This study addresses these challenges by proposing a computer-aided diagnosis system leveraging targeted image preprocessing and optimized deep learning techniques.Methods:We systematically evaluated contrast limited adaptive histogram equalization with varying clip limits for preprocessing chest X-ray images,demonstrating its effectiveness in enhancing feature visibility for diagnostic accuracy.Employing a comprehensive dataset of 5,863 X-ray images(1,583 pneumonia-negative,4,280 pneumonia-positive)collected from multiple healthcare facilities,we conducted a comparative analysis of transfer learning with pre-trained models including ResNet50v2,VGG-19,and MobileNetV2.Statistical validation was performed through 5-fold cross-validation.Results:Our results show that the contrast limited adaptive histogram equalization-enhanced approach with ResNet50v2 achieves 93.40%accuracy,outperforming VGG-19(84.90%)and MobileNetV2(89.70%).Statistical validation confirms the significance of these improvements(P<0.01).The development and optimization resulted in a lightweight mobile application(74 KB)providing rapid diagnostic support(1-2 s response time).Conclusion:The proposed approach demonstrates practical applicability in resource-constrained settings,balancing diagnostic accuracy with deployment efficiency,and offers a viable solution for computer-aided pneumonia diagnosis in areas with limited medical expertise.展开更多
Patients with cardiovascular disease rely on medication to achieve favorable longterm clinical results.Poor adherence has been linked to a relative increase in mortality of 50%-80%as well as higher health care costs.T...Patients with cardiovascular disease rely on medication to achieve favorable longterm clinical results.Poor adherence has been linked to a relative increase in mortality of 50%-80%as well as higher health care costs.This scoping review thus aimed to explore the evidence of the effects of mobile health care apps on medication adherence in patients with cardiovascular diseases.A comprehensive data search and extraction was done in line with the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist.A total of 10 studies were included for the review.The mean pooled improvement in adherence was found to be 18%and the most effective tool was the digital therapeutics app discussed in Li et al’s study.Smartphones and apps enhance coronary artery disease management by promoting medication compliance.Challenges include data security and smartphone usage among the elderly.Tailored apps or voice assistants offer potential solutions.展开更多
The building information model/modeling （BIM） technology is currently applied in a broad range of applications and research for facility management, while the BIM-based mobile FM is difficult owing to various factor...The building information model/modeling （BIM） technology is currently applied in a broad range of applications and research for facility management, while the BIM-based mobile FM is difficult owing to various factors and environments. For example, the mobile applications usually require frequent cross-equipment compatibility. This paper proposes a reasonable BIM-based FM cross-platform framework and develops a mobile application on the basis of an existing BIM-based FM system. The developed mobile application is applied in a case study of a metro station project in Guangzhou to verify its effectiveness in FM practice. It helps maintenance staff in viewing BIMs, accessing related information, and updating maintenance records in a unique platform. The test results demonstrate that the proposed BIM-based cross-platform framework meet the FM application requirements and supports the extension of FM functions.展开更多
Objectives:In recent years,the use of mobile health applications(mHealth apps)to deliver care for patients with breast cancer has increased exponentially.This study aimed to summarize the available evidence on develop...Objectives:In recent years,the use of mobile health applications(mHealth apps)to deliver care for patients with breast cancer has increased exponentially.This study aimed to summarize the available evidence on developing mHealth apps to care for patients with breast cancer and identify the need for systematic efforts.Methods:A scoping review was performed according to Arksey and O’Malley’s framework,aiming to identify eligible research studies in PubMed,CINAHL,and Web of Science between January 2010 and December 2020.All identified studies were screened,extracted,and analyzed independently by two reviewers.Results:A total of 676 studies were retrieved,and eight eligible studies were finally included.Four themes emerged:the involvement of patients and health professionals in the phases of design and development,patients’preferences,the characteristics of patients,and the motivators to use mHealth apps.The results indicated promising prospects for using mHealth apps to care for patients with breast cancer and identified the need for systematic efforts to develop and validate relevant apps.Conclusions:The attributes of patient characteristics,needs,and patient-reported outcomes data are vital components for developing mHealth apps for patients with breast cancer.Additionally,collaborative efforts,including patients,nurses,and other significant health professionals,should develop mHealth apps for breast cancer care.Additional research focusing on the design and development of mHealth apps for patients with breast cancer is warranted.展开更多
Mobile health apps (MHAs) and medical apps (MAs) are becoming increasinglypopular as digital interventions in a wide range of health-related applications inalmost all sectors of healthcare. The surge in demand for dig...Mobile health apps (MHAs) and medical apps (MAs) are becoming increasinglypopular as digital interventions in a wide range of health-related applications inalmost all sectors of healthcare. The surge in demand for digital medical solutionshas been accelerated by the need for new diagnostic and therapeutic methods inthe current coronavirus disease 2019 pandemic. This also applies to clinicalpractice in gastroenterology, which has, in many respects, undergone a recentdigital transformation with numerous consequences that will impact patients andhealth care professionals in the near future. MHAs and MAs are considered tohave great potential, especially for chronic diseases, as they can support the selfmanagementof patients in many ways. Despite the great potential associated withthe application of MHAs and MAs in gastroenterology and health care in general,there are numerous challenges to be met in the future, including both the ethicaland legal aspects of applying this technology. The aim of this article is to providean overview of the current status of MHA and MA use in the field ofgastroenterology, describe the future perspectives in this field and point out someof the challenges that need to be addressed.展开更多
Objective:This study aims to evaluate the effects of a symptom management intervention(SMI)based on symptom management group sessions combined with a mobile health(mHealth)application(app)on the knowledge of symptom m...Objective:This study aims to evaluate the effects of a symptom management intervention(SMI)based on symptom management group sessions combined with a mobile health(mHealth)application(app)on the knowledge of symptom management,the certainty of symptom self-management,symptom severity,symptom distress,medication adherence,social support,and quality of life among persons living with HIV(PLWH)in China.Methods:A parallel randomized controlled trial with 61 PLWH was conducted in Shanghai,China.The participants in the control group(n¼30)downloaded the Symptom Management(SM)app according to their needs and preferences,and received routine follow-ups.The participants in the intervention group(n¼31)were guided to download and use the SM app,and received four tailored weekly group sessions at routine follow-ups.Each group session lasted for approximately 2 h and targeted one of the major modules of the SM app.All the outcomes were assessed at baseline and post-intervention.The study was registered with the Chinese Clinical Trial Registry(ChiCTR1900024821).Results:The symptom management knowledge and certainty of symptom self-management were significantly improved after the intervention(all P<0.01).Compared with the control group,the scores of symptoms reasons knowledge score improved 11.47 points(95%CI:3.41,19.53)and scores of symptoms self-management knowledge score improved 12.80 points(95%CI:4.55,21.05)in the intervention group after controlling for covariates.However,other outcomes did not show statistically significant differences between the intervention group and the control group(P>0.05).Conclusion:The SMI could improve PLWH’s symptom management knowledge and certainty of symptom self-management.Multi-center studies with larger sample sizes and longer follow-ups are needed to further understand the effects of SM app on ameliorating symptom severity and symptom distress.More innovative strategies are also needed to promote and maintain the sustainability of the SM app.展开更多
Multi-agent mobile applications play an essential role in mobile applications and have attracted more and more researchers’attention.Previous work has always focused on multi-agent applications with perfect informati...Multi-agent mobile applications play an essential role in mobile applications and have attracted more and more researchers’attention.Previous work has always focused on multi-agent applications with perfect information.Researchers are usually based on human-designed rules to provide decision-making searching services.However,existing methods for solving perfect-information mobile applications cannot be directly applied to imperfect-information mobile applications.Here,we take the Contact Bridge,a multi-agent application with imperfect information,for the case study.We propose an enhanced searching strategy to deal with multi-agent applications with imperfect information.We design a self-training bidding system model and apply a Recurrent Neural Network(RNN)to model the bidding process.The bridge system model consists of two parts,a bidding prediction system based on imitation learning to get a contract quickly and a visualization system for hands understanding to realize regular communication between players.Then,to dynamically analyze the impact of other players’unknown hands on our final reward,we design a Monte Carlo sampling algorithm based on the bidding system model(BSM)to deal with imperfect information.At the same time,a double-dummy analysis model is designed to efficiently evaluate the results of sampling.Experimental results indicate that our searching strategy outperforms the top rule-based mobile applications.展开更多
To achieve privacy and authentication sinmltaneously in mobile applications, various Three-party Password-authenticated key exchange （3PAKE） protocols have been proposed. However, some of these protocols are vulnera...To achieve privacy and authentication sinmltaneously in mobile applications, various Three-party Password-authenticated key exchange （3PAKE） protocols have been proposed. However, some of these protocols are vulnerable to conventional attacks or have low efficiency so that they cannot be applied to mobile applications. In this paper, we proposed a password-authenticated multiple key exchange protocol for mobile applications using elliptic curve cryptosystem. The proposed protocol can achieve efficiency, reliability, flexibility and scalability at the same time. Compared with related works, the proposed protocol is more suitable and practical for mobile applications.展开更多
Ship and offshore structure often work in very severe environment.Therefore routine inspection and maintenance are essential to keep ship structure and equipment in good state,and can decrease the possibility of sea p...Ship and offshore structure often work in very severe environment.Therefore routine inspection and maintenance are essential to keep ship structure and equipment in good state,and can decrease the possibility of sea pollution and safety problems.Besides that,the activity of inspection and maintenance is also directly connected with cost control and condition assessment.Current inspection is still mainly based on paper and pen,so it is rather time-consuming for transferring inspection data from paper to computer system,and more diffcult to make calculation based on the inspection records.In this paper,the concept of information integration model and inspection support system using mobile device is introduced.The structuralized data in the information integration model offer much convenience to data transferring.The inspection support system consists of one headquarter management subsystem and one inspector handling subsystem.A mechanism of data exchange between the two subsystems is developed based on standard inspection workflow.The headquarter subsystem works on computer,and the inspector subsystem is mobile application instead of paper and pen.Versatile tests and platform experiments are carried out to demonstrate and confirm the feasibility and validity.展开更多
Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device off...Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.展开更多
In recent years,the use of mobile devices such as smart phones,tablet PCs,etc.is rapidly increasing.In case of these mobile devices,the storage space is limited due to their characteristics.To make up for the limited ...In recent years,the use of mobile devices such as smart phones,tablet PCs,etc.is rapidly increasing.In case of these mobile devices,the storage space is limited due to their characteristics.To make up for the limited space of storage in mobile devices,several methods are being researched.Of these,cloud storage service(CSS),one of cloud computing services,is an efficient solution to compensate such limited storage space.CSS is a service of storing files to the storage and thus getting access to stored files through networks(Internet)at anytime,anywhere.As for the existing CSS,users store their personally important files in the cloud storage,not in their own computers.It may cause security problems such as the leaking of information from private files or the damaging to the information.Thus,we propose a cloud storage system which can solve the security problem of CSS for mobile devices using the personal computer.Our system is deigned to store and manage files through the direct communication between mobile devices and personal computer storages by using the software as a service(SaaS),one of computing services,instead of directly storing files into cloud storages.展开更多
In recent years,the IT industry in China has developed rapidly and made remarkable achievements.However,there is still a big gap between China and foreign countries in the core fields of information technology,such as...In recent years,the IT industry in China has developed rapidly and made remarkable achievements.However,there is still a big gap between China and foreign countries in the core fields of information technology,such as system hardware and software platform.Currently,foreign countries have gradually raised the restrictions of information technology in China,and even added many domestic enterprises to the restricted list,which has rung the alarm to the information security of the country.Therefore,in order to break through the foreign technology blockade and find a unique way in independent software and hardware platform,it is urgent to carry out the curriculum construction and talent training mechanism on core software and hardware platform.HarmonyOS is a“future-oriented”distributed operating system developed by Huawei.It proposes a distributed concept based on the same system capability and adapts to a variety of terminal forms,and supports a variety of terminal devices such as mobile phones,watches and smart screens.Our course on HarmonyOS aims to increase the theoretical knowledge of the core independent software and hardware platform.In the course,we exploit our teaching reform experience in the course of“Mobile Application Development”,and investigate the teaching mechanism of HarmonyOS to contribute to the rapid development of information technology and ecological construction in China.展开更多
In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is metic...In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is meticulously examined. This comprehensive research delineates the multifaceted ways in which AI-powered mobile applications can significantly enhance the efficiency, sustainability, and livability of urban environments, marking a pivotal step towards the realization of smart cities globally. Bayashot meticulously outlines the critical areas where AI-powered apps offer unprecedented advantages, including urban mobility, public safety, energy management, and environmental monitoring. By leveraging AI’s capabilities, these applications not only streamline city operations but also foster a more sustainable interaction between city dwellers and their environment. The paper emphasizes the importance of data-driven decision-making in urban planning, showcasing how AI analytics can predict and mitigate traffic congestion, optimize energy consumption, and enhance emergency response strategies. The author also explores the social implications of AI in urban settings, highlighting the potential for these technologies to bridge the gap between government entities and citizens. Through engaging case studies, Bayashot demonstrates how participatory governance models, enabled by AI apps, can promote transparency, accountability, and citizen engagement in urban management. A significant contribution of this research is its focus on the challenges and opportunities presented by the integration of AI into smart city ecosystems. Bayashot discusses the technical, ethical, and privacy concerns associated with AI applications, advocating for a balanced approach that ensures technological advancements do not come at the expense of civil liberties. The study calls for robust regulatory frameworks to govern the use of AI in public spaces, emphasizing the need for ethical AI practices that respect privacy and promote inclusivity. Furthermore, Bayashot’s research underscores the necessity of cross-disciplinary collaboration in the development and implementation of AI technologies in urban contexts. By bringing together experts from information technology, urban planning, environmental science, and social sciences, the author argues for a holistic approach to smart city development. This interdisciplinary strategy ensures that AI applications are not only technologically sound but also socially and environmentally responsible. The paper concludes with a visionary outlook on the future of smart cities, posited on the seamless integration of AI technologies. Bayashot envisions a world where AI-powered mobile apps not only facilitate smoother urban operations but also empower citizens to actively participate in the shaping of their urban environments. This research serves as a critical call to action for policymakers, technologists, and urban planners to embrace AI as a tool for creating more sustainable, efficient, and inclusive cities. By presenting a detailed analysis of the current state of AI in urban development, coupled with practical insights and forward-looking recommendations, “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems” stands as a seminal work that is poised to inspire and guide the evolution of urban landscapes worldwide. Its comprehensive exploration of the subject matter, combined with its impactful conclusions, make it a must-read for anyone involved in the field of smart city development, AI technology, or urban policy-making.展开更多
<div style="text-align:justify;"> <span style="font-family:Verdana;">Software reliability is an important quality attribute, and software reliability models are frequently used to measu...<div style="text-align:justify;"> <span style="font-family:Verdana;">Software reliability is an important quality attribute, and software reliability models are frequently used to measure and predict software maturity. The nature of mobile environments differs from that of PC and server environments due to many factors, such as the network, energy, battery, and compatibility. Evaluating and predicting mobile application reliability are real challenges because of the diversity of the mobile environments in which the applications are used, and the lack of publicly available defect data. In addition, bug reports are optionally submitted by end-users. In this paper, we propose assessing and predicting the reliability of a mobile application using known software reliability growth models (SRGMs). Four software reliability models are used to evaluate the reliability of an open-source mobile application through analyzing bug reports. Our experiment proves it is possible to use SRGMs with defect data acquired from bug reports to assess and predict the software reliability in mobile applications. The results of our work enable software developers and testers to assess and predict the reliability of mobile software applications.</span> </div>展开更多
The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps hav...The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.展开更多
Various mobile devices and applications are now used in daily life.These devices require high-speed data processing,low energy consumption,low communication latency,and secure data transmission,especially in 5G and 6G...Various mobile devices and applications are now used in daily life.These devices require high-speed data processing,low energy consumption,low communication latency,and secure data transmission,especially in 5G and 6G mobile networks.High-security cryptography guarantees that essential data can be transmitted securely;however,it increases energy consumption and reduces data processing speed.Therefore,this study proposes a low-energy data encryption(LEDE)algorithm based on the Advanced Encryption Standard(AES)for improving data transmission security and reducing the energy consumption of encryption in Internet-of-Things(IoT)devices.In the proposed LEDE algorithm,the system time parameter is employed to create a dynamic S-Box to replace the static S-Box of AES.Tests indicated that six-round LEDE encryption achieves the same security level as 10-round conventional AES encryption.This reduction in encryption time results in the LEDE algorithm having a 67.4%lower energy consumption and 43.9%shorter encryption time than conventional AES;thus,the proposed LEDE algorithm can improve the performance and the energy consumption of IoT edge devices.展开更多
With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated....With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated.To study this question,this work utilizes a dataset containing users’history of mobile application usage records(MAURs)and investigates how MAURs are related to Chinese cities’economic development.Our analysis shows the cities’GDP and number of MAURs are highly correlated,and at the individual level,people in wealthier cities(higher GDP per capita)tend to have more active mobile application usage(MAURs per capita).The results also demonstrate the relevance between cities’GDP and MAURs varies significantly among different demographic groups,with male users’relevance consistently higher than female users’and working-age people’s relevance higher than other age groups.A boosted tree regression model is then applied to predict cities’GDP with MAURs and proves to achieve high goodness-of-fit(over 0.8 R-square)and good prediction accuracy,especially for the economically developed and populous regions in China.To the best of our knowledge,this is the first time that the relationship between MAURs and cities’economic development is revealed,which contributes to novel knowledge discovery for regionalization and urban development.展开更多
As the evolution of mobile technology, mobile devices have become an essential tool in people's daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various service...As the evolution of mobile technology, mobile devices have become an essential tool in people's daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various services provided by mobile platforms. Many services can be executed on the mobile devices with various mobile applications launched to mobile platforms. People can choose what they like to install in their mobile devices and hence make their life more convenient, entertaining, and productive. However, there are too many mobile applications for users to choose. The goal of this research is to propose a methodology which can recommend top-N lists for mobile applications. A comment correlation matrix is proposed. Furthermore, a recommendation algorithm for mobile applications based on user comments and key attributes is built. With the proposed method, it outperforms Google play and is closer to user real feelings.展开更多
In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,Instagram.This plugin extracts pers...In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,Instagram.This plugin extracts personal details from Instagram users,e.g.,name,user name,mobile number,ID,direct text or audio,video,and picture messages exchanged between different Instagram users.While developing the plugin,we identified resources available in both Android and IOS-based devices holding key forensics artifacts.We highlighted the poor privacy scheme employed by Instagram.This work,has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed,and how the traces,as well as the URL links of visual messages,can be used to access the privacy of any Instagram user without any critical credential verification.We also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file,which any criminal mind can use to set up or trap someone else.The outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones.展开更多
基金funded by Vietnam National University Ho Chi Minh City(VNU-HCM)under grant number NCM2020-28-01.
文摘Objective:To evaluate mobile applications available for patients undergoing assisted reproduction and assess the extent of their clinical validation.Methods:A systematic search was conducted in the Apple App Store and Google Play between September 1,2023 and September 30,2023 to identify mobile applications related to assisted reproduction.Apps were evaluated using the mobile app rating scale(MARS).In parallel,a literature search of PubMed,Scopus,Embase,and Web of Science was performed to identify clinical studies related to mobile applications in assisted reproduction.Clinical validation status and MARS scores were recorded,and findings were synthesized to highlight the gap between commercially available apps and research-based evidence.Results:From 1143 apps screened,11 met the inclusion criteria.Mean MARS score across apps was 3.63,with Leeaf scoring the highest(4.60).However,only one application(Embie)was supported by published research.The literature research identified 13 relevant studies,mostly randomized controlled trials,cohort studies,or usability studies.While research-based apps demonstrated clinical utility(e.g.,MediEmo,PreLiFe,Patient Journey App),most were unavailable on app stores.This revealed a disconnect between research-backed applications and those accessible to patients.Conclusions:Although several mobile apps for assisted reproduction demonstrate high usability and quality,few are clinically validated.The lack of integration between research and practice highlights the need for stronger collaboration between researchers,developers,and policymakers to ensure that patients access safe and effective tools.
文摘Background:Pneumonia remains a critical global health challenge,manifesting as a severe respiratory infection caused by viruses,bacteria,and fungi.Early detection is paramount for effective treatment,potentially reducing mortality rates and optimizing healthcare resource allocation.Despite the importance of chest X-ray diagnosis,image analysis presents significant challenges,particularly in regions with limited medical expertise.This study addresses these challenges by proposing a computer-aided diagnosis system leveraging targeted image preprocessing and optimized deep learning techniques.Methods:We systematically evaluated contrast limited adaptive histogram equalization with varying clip limits for preprocessing chest X-ray images,demonstrating its effectiveness in enhancing feature visibility for diagnostic accuracy.Employing a comprehensive dataset of 5,863 X-ray images(1,583 pneumonia-negative,4,280 pneumonia-positive)collected from multiple healthcare facilities,we conducted a comparative analysis of transfer learning with pre-trained models including ResNet50v2,VGG-19,and MobileNetV2.Statistical validation was performed through 5-fold cross-validation.Results:Our results show that the contrast limited adaptive histogram equalization-enhanced approach with ResNet50v2 achieves 93.40%accuracy,outperforming VGG-19(84.90%)and MobileNetV2(89.70%).Statistical validation confirms the significance of these improvements(P<0.01).The development and optimization resulted in a lightweight mobile application(74 KB)providing rapid diagnostic support(1-2 s response time).Conclusion:The proposed approach demonstrates practical applicability in resource-constrained settings,balancing diagnostic accuracy with deployment efficiency,and offers a viable solution for computer-aided pneumonia diagnosis in areas with limited medical expertise.
文摘Patients with cardiovascular disease rely on medication to achieve favorable longterm clinical results.Poor adherence has been linked to a relative increase in mortality of 50%-80%as well as higher health care costs.This scoping review thus aimed to explore the evidence of the effects of mobile health care apps on medication adherence in patients with cardiovascular diseases.A comprehensive data search and extraction was done in line with the updated Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews checklist.A total of 10 studies were included for the review.The mean pooled improvement in adherence was found to be 18%and the most effective tool was the digital therapeutics app discussed in Li et al’s study.Smartphones and apps enhance coronary artery disease management by promoting medication compliance.Challenges include data security and smartphone usage among the elderly.Tailored apps or voice assistants offer potential solutions.
基金Supported by the National High-tech Research and Development Program of China(2013AA041307)the National Natural Science Foundation of China(51478249)the Tsinghua University-Glodon Joint Research Centre for Building Information Model
文摘The building information model/modeling （BIM） technology is currently applied in a broad range of applications and research for facility management, while the BIM-based mobile FM is difficult owing to various factors and environments. For example, the mobile applications usually require frequent cross-equipment compatibility. This paper proposes a reasonable BIM-based FM cross-platform framework and develops a mobile application on the basis of an existing BIM-based FM system. The developed mobile application is applied in a case study of a metro station project in Guangzhou to verify its effectiveness in FM practice. It helps maintenance staff in viewing BIMs, accessing related information, and updating maintenance records in a unique platform. The test results demonstrate that the proposed BIM-based cross-platform framework meet the FM application requirements and supports the extension of FM functions.
基金This study was supported by the Natural Science Foundation of China(71874032)the Natural Science Foundation of China(72074054).
文摘Objectives:In recent years,the use of mobile health applications(mHealth apps)to deliver care for patients with breast cancer has increased exponentially.This study aimed to summarize the available evidence on developing mHealth apps to care for patients with breast cancer and identify the need for systematic efforts.Methods:A scoping review was performed according to Arksey and O’Malley’s framework,aiming to identify eligible research studies in PubMed,CINAHL,and Web of Science between January 2010 and December 2020.All identified studies were screened,extracted,and analyzed independently by two reviewers.Results:A total of 676 studies were retrieved,and eight eligible studies were finally included.Four themes emerged:the involvement of patients and health professionals in the phases of design and development,patients’preferences,the characteristics of patients,and the motivators to use mHealth apps.The results indicated promising prospects for using mHealth apps to care for patients with breast cancer and identified the need for systematic efforts to develop and validate relevant apps.Conclusions:The attributes of patient characteristics,needs,and patient-reported outcomes data are vital components for developing mHealth apps for patients with breast cancer.Additionally,collaborative efforts,including patients,nurses,and other significant health professionals,should develop mHealth apps for breast cancer care.Additional research focusing on the design and development of mHealth apps for patients with breast cancer is warranted.
文摘Mobile health apps (MHAs) and medical apps (MAs) are becoming increasinglypopular as digital interventions in a wide range of health-related applications inalmost all sectors of healthcare. The surge in demand for digital medical solutionshas been accelerated by the need for new diagnostic and therapeutic methods inthe current coronavirus disease 2019 pandemic. This also applies to clinicalpractice in gastroenterology, which has, in many respects, undergone a recentdigital transformation with numerous consequences that will impact patients andhealth care professionals in the near future. MHAs and MAs are considered tohave great potential, especially for chronic diseases, as they can support the selfmanagementof patients in many ways. Despite the great potential associated withthe application of MHAs and MAs in gastroenterology and health care in general,there are numerous challenges to be met in the future, including both the ethicaland legal aspects of applying this technology. The aim of this article is to providean overview of the current status of MHA and MA use in the field ofgastroenterology, describe the future perspectives in this field and point out someof the challenges that need to be addressed.
基金part of a project funded by the National Natural Science Foundation of China(Grant Number 71673057)the China Scholarship Council(No.201906100135).
文摘Objective:This study aims to evaluate the effects of a symptom management intervention(SMI)based on symptom management group sessions combined with a mobile health(mHealth)application(app)on the knowledge of symptom management,the certainty of symptom self-management,symptom severity,symptom distress,medication adherence,social support,and quality of life among persons living with HIV(PLWH)in China.Methods:A parallel randomized controlled trial with 61 PLWH was conducted in Shanghai,China.The participants in the control group(n¼30)downloaded the Symptom Management(SM)app according to their needs and preferences,and received routine follow-ups.The participants in the intervention group(n¼31)were guided to download and use the SM app,and received four tailored weekly group sessions at routine follow-ups.Each group session lasted for approximately 2 h and targeted one of the major modules of the SM app.All the outcomes were assessed at baseline and post-intervention.The study was registered with the Chinese Clinical Trial Registry(ChiCTR1900024821).Results:The symptom management knowledge and certainty of symptom self-management were significantly improved after the intervention(all P<0.01).Compared with the control group,the scores of symptoms reasons knowledge score improved 11.47 points(95%CI:3.41,19.53)and scores of symptoms self-management knowledge score improved 12.80 points(95%CI:4.55,21.05)in the intervention group after controlling for covariates.However,other outcomes did not show statistically significant differences between the intervention group and the control group(P>0.05).Conclusion:The SMI could improve PLWH’s symptom management knowledge and certainty of symptom self-management.Multi-center studies with larger sample sizes and longer follow-ups are needed to further understand the effects of SM app on ameliorating symptom severity and symptom distress.More innovative strategies are also needed to promote and maintain the sustainability of the SM app.
基金supported by the Funds for Creative Research Groups of China under No.61921003 and Snyrey Bridge Company.
文摘Multi-agent mobile applications play an essential role in mobile applications and have attracted more and more researchers’attention.Previous work has always focused on multi-agent applications with perfect information.Researchers are usually based on human-designed rules to provide decision-making searching services.However,existing methods for solving perfect-information mobile applications cannot be directly applied to imperfect-information mobile applications.Here,we take the Contact Bridge,a multi-agent application with imperfect information,for the case study.We propose an enhanced searching strategy to deal with multi-agent applications with imperfect information.We design a self-training bidding system model and apply a Recurrent Neural Network(RNN)to model the bidding process.The bridge system model consists of two parts,a bidding prediction system based on imitation learning to get a contract quickly and a visualization system for hands understanding to realize regular communication between players.Then,to dynamically analyze the impact of other players’unknown hands on our final reward,we design a Monte Carlo sampling algorithm based on the bidding system model(BSM)to deal with imperfect information.At the same time,a double-dummy analysis model is designed to efficiently evaluate the results of sampling.Experimental results indicate that our searching strategy outperforms the top rule-based mobile applications.
基金Acknowledgements This work was supported by the National Natural ScienceFoundation of China under Grants No. 60873191, No. 60903152, No. 60821001, and the Beijing Natural Science Foundation under Grant No. 4072020.
文摘To achieve privacy and authentication sinmltaneously in mobile applications, various Three-party Password-authenticated key exchange （3PAKE） protocols have been proposed. However, some of these protocols are vulnerable to conventional attacks or have low efficiency so that they cannot be applied to mobile applications. In this paper, we proposed a password-authenticated multiple key exchange protocol for mobile applications using elliptic curve cryptosystem. The proposed protocol can achieve efficiency, reliability, flexibility and scalability at the same time. Compared with related works, the proposed protocol is more suitable and practical for mobile applications.
基金the Open Fund of State Key Laboratory of Structural Analysis for Industrial Equipment(No.S08201)
文摘Ship and offshore structure often work in very severe environment.Therefore routine inspection and maintenance are essential to keep ship structure and equipment in good state,and can decrease the possibility of sea pollution and safety problems.Besides that,the activity of inspection and maintenance is also directly connected with cost control and condition assessment.Current inspection is still mainly based on paper and pen,so it is rather time-consuming for transferring inspection data from paper to computer system,and more diffcult to make calculation based on the inspection records.In this paper,the concept of information integration model and inspection support system using mobile device is introduced.The structuralized data in the information integration model offer much convenience to data transferring.The inspection support system consists of one headquarter management subsystem and one inspector handling subsystem.A mechanism of data exchange between the two subsystems is developed based on standard inspection workflow.The headquarter subsystem works on computer,and the inspector subsystem is mobile application instead of paper and pen.Versatile tests and platform experiments are carried out to demonstrate and confirm the feasibility and validity.
基金supported by National Natural Science Foundation of China (Grant No.61261017, No.61571143 and No.61561014)Guangxi Natural Science Foundation (2013GXNSFAA019334 and 2014GXNSFAA118387)+3 种基金Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (No.CRKL150112)Guangxi Key Lab of Wireless Wideband Communication & Signal Processing (GXKL0614202, GXKL0614101 and GXKL061501)Sci.and Tech.on Info.Transmission and Dissemination in Communication Networks Lab (No.ITD-U14008/KX142600015)Graduate Student Research Innovation Project of Guilin University of Electronic Technology (YJCXS201523)
文摘Offloading application to cloud can augment mobile devices' computation capabilities for the emerging resource-hungry mobile application, however it can also consume both much time and energy for mobile device offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve above problem efficiently. Specifically, we first propose an adaptive application offloading model which allows multiple target clouds coexisting. Second, based on Lyapunov optimization theory, a low complexity adaptive offloading decision-transmission scheduling scheme has been proposed. And the performance analysis is also given. Finally, simulation results show that,compared with that all applications are executed locally, mobile device can save 68.557% average execution time and 67.095% average energy consumption under situations.
基金The MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support programsupervised by the NIPA(National ITIndustry Promotion Agency)(NIPA-2012-H0301-12-2006)
文摘In recent years,the use of mobile devices such as smart phones,tablet PCs,etc.is rapidly increasing.In case of these mobile devices,the storage space is limited due to their characteristics.To make up for the limited space of storage in mobile devices,several methods are being researched.Of these,cloud storage service(CSS),one of cloud computing services,is an efficient solution to compensate such limited storage space.CSS is a service of storing files to the storage and thus getting access to stored files through networks(Internet)at anytime,anywhere.As for the existing CSS,users store their personally important files in the cloud storage,not in their own computers.It may cause security problems such as the leaking of information from private files or the damaging to the information.Thus,we propose a cloud storage system which can solve the security problem of CSS for mobile devices using the personal computer.Our system is deigned to store and manage files through the direct communication between mobile devices and personal computer storages by using the software as a service(SaaS),one of computing services,instead of directly storing files into cloud storages.
文摘In recent years,the IT industry in China has developed rapidly and made remarkable achievements.However,there is still a big gap between China and foreign countries in the core fields of information technology,such as system hardware and software platform.Currently,foreign countries have gradually raised the restrictions of information technology in China,and even added many domestic enterprises to the restricted list,which has rung the alarm to the information security of the country.Therefore,in order to break through the foreign technology blockade and find a unique way in independent software and hardware platform,it is urgent to carry out the curriculum construction and talent training mechanism on core software and hardware platform.HarmonyOS is a“future-oriented”distributed operating system developed by Huawei.It proposes a distributed concept based on the same system capability and adapts to a variety of terminal forms,and supports a variety of terminal devices such as mobile phones,watches and smart screens.Our course on HarmonyOS aims to increase the theoretical knowledge of the core independent software and hardware platform.In the course,we exploit our teaching reform experience in the course of“Mobile Application Development”,and investigate the teaching mechanism of HarmonyOS to contribute to the rapid development of information technology and ecological construction in China.
文摘In the groundbreaking study “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems,” authored by Zaki Ali Bayashot, the transformative role of artificial intelligence (AI) in urban development is meticulously examined. This comprehensive research delineates the multifaceted ways in which AI-powered mobile applications can significantly enhance the efficiency, sustainability, and livability of urban environments, marking a pivotal step towards the realization of smart cities globally. Bayashot meticulously outlines the critical areas where AI-powered apps offer unprecedented advantages, including urban mobility, public safety, energy management, and environmental monitoring. By leveraging AI’s capabilities, these applications not only streamline city operations but also foster a more sustainable interaction between city dwellers and their environment. The paper emphasizes the importance of data-driven decision-making in urban planning, showcasing how AI analytics can predict and mitigate traffic congestion, optimize energy consumption, and enhance emergency response strategies. The author also explores the social implications of AI in urban settings, highlighting the potential for these technologies to bridge the gap between government entities and citizens. Through engaging case studies, Bayashot demonstrates how participatory governance models, enabled by AI apps, can promote transparency, accountability, and citizen engagement in urban management. A significant contribution of this research is its focus on the challenges and opportunities presented by the integration of AI into smart city ecosystems. Bayashot discusses the technical, ethical, and privacy concerns associated with AI applications, advocating for a balanced approach that ensures technological advancements do not come at the expense of civil liberties. The study calls for robust regulatory frameworks to govern the use of AI in public spaces, emphasizing the need for ethical AI practices that respect privacy and promote inclusivity. Furthermore, Bayashot’s research underscores the necessity of cross-disciplinary collaboration in the development and implementation of AI technologies in urban contexts. By bringing together experts from information technology, urban planning, environmental science, and social sciences, the author argues for a holistic approach to smart city development. This interdisciplinary strategy ensures that AI applications are not only technologically sound but also socially and environmentally responsible. The paper concludes with a visionary outlook on the future of smart cities, posited on the seamless integration of AI technologies. Bayashot envisions a world where AI-powered mobile apps not only facilitate smoother urban operations but also empower citizens to actively participate in the shaping of their urban environments. This research serves as a critical call to action for policymakers, technologists, and urban planners to embrace AI as a tool for creating more sustainable, efficient, and inclusive cities. By presenting a detailed analysis of the current state of AI in urban development, coupled with practical insights and forward-looking recommendations, “The Contribution of AI-powered Mobile Apps to Smart City Ecosystems” stands as a seminal work that is poised to inspire and guide the evolution of urban landscapes worldwide. Its comprehensive exploration of the subject matter, combined with its impactful conclusions, make it a must-read for anyone involved in the field of smart city development, AI technology, or urban policy-making.
文摘<div style="text-align:justify;"> <span style="font-family:Verdana;">Software reliability is an important quality attribute, and software reliability models are frequently used to measure and predict software maturity. The nature of mobile environments differs from that of PC and server environments due to many factors, such as the network, energy, battery, and compatibility. Evaluating and predicting mobile application reliability are real challenges because of the diversity of the mobile environments in which the applications are used, and the lack of publicly available defect data. In addition, bug reports are optionally submitted by end-users. In this paper, we propose assessing and predicting the reliability of a mobile application using known software reliability growth models (SRGMs). Four software reliability models are used to evaluate the reliability of an open-source mobile application through analyzing bug reports. Our experiment proves it is possible to use SRGMs with defect data acquired from bug reports to assess and predict the software reliability in mobile applications. The results of our work enable software developers and testers to assess and predict the reliability of mobile software applications.</span> </div>
文摘The evolution of technology in 1990s resulted in the enormous growth of smartphones and the propagation of mobile applications (App) that marked new opportunities for healthcare centers and medical education. Apps have altered health services from patient’s health monitoring to specialist’s appointments and consultations from specialized health facilities. It can be argued that a healthy society can bring forth sustainable economic development to its full potential while an unhealthy society cannot. However, a free movement of people, labour and right to residence which was built across East Africa (EA) borders enabled Tanzania and Kenya borders to have enormous interactions. Subsequently, increase the risk of highly communicable diseases such as Tuberculosis and Sexually transmitted infections in such a way that medical attention is unavoidable along the borders. Statistically, Android Operating System (OS) owns 83% of Africa’s mobile OS market. In addition, 25,794,560 internet users reported by Tanzania Communications Regulatory Authority (TCRA) together with the 22.86 million internet users provided by Kenya Digital which is equivalent to 46% and 43% of internet penetration in year 2020, disclose the need for Android mobile application for mapping health facilities both online and offline using Google map API, which will solve residents’ need to healthcare services on the presence or shortage of internet connections;using either Swahili or English language via Smartphone devices. The App incorporates Monitoring and Evaluation (M & E) tool for tracking application usage which will ease Admin’s task to generate daily and monthly reports in Excel and Comma-Separated Values (CSV) formats. The developed system received positive feedback from EA citizens and residents in the Arusha region and Namanga border crossing where 90.2% of the system evaluation conducted between Dec 2020 and Apr 2021 agreed upon App usage.
基金This work was supported by the National Science and Technology Council,Taiwan,under Project NSTC 112-2221-E-029-015.
文摘Various mobile devices and applications are now used in daily life.These devices require high-speed data processing,low energy consumption,low communication latency,and secure data transmission,especially in 5G and 6G mobile networks.High-security cryptography guarantees that essential data can be transmitted securely;however,it increases energy consumption and reduces data processing speed.Therefore,this study proposes a low-energy data encryption(LEDE)algorithm based on the Advanced Encryption Standard(AES)for improving data transmission security and reducing the energy consumption of encryption in Internet-of-Things(IoT)devices.In the proposed LEDE algorithm,the system time parameter is employed to create a dynamic S-Box to replace the static S-Box of AES.Tests indicated that six-round LEDE encryption achieves the same security level as 10-round conventional AES encryption.This reduction in encryption time results in the LEDE algorithm having a 67.4%lower energy consumption and 43.9%shorter encryption time than conventional AES;thus,the proposed LEDE algorithm can improve the performance and the energy consumption of IoT edge devices.
基金Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,No.21S02。
文摘With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated.To study this question,this work utilizes a dataset containing users’history of mobile application usage records(MAURs)and investigates how MAURs are related to Chinese cities’economic development.Our analysis shows the cities’GDP and number of MAURs are highly correlated,and at the individual level,people in wealthier cities(higher GDP per capita)tend to have more active mobile application usage(MAURs per capita).The results also demonstrate the relevance between cities’GDP and MAURs varies significantly among different demographic groups,with male users’relevance consistently higher than female users’and working-age people’s relevance higher than other age groups.A boosted tree regression model is then applied to predict cities’GDP with MAURs and proves to achieve high goodness-of-fit(over 0.8 R-square)and good prediction accuracy,especially for the economically developed and populous regions in China.To the best of our knowledge,this is the first time that the relationship between MAURs and cities’economic development is revealed,which contributes to novel knowledge discovery for regionalization and urban development.
文摘As the evolution of mobile technology, mobile devices have become an essential tool in people's daily life. Moreover, with the rapid growth of Internet and mobile networks, people can easily access various services provided by mobile platforms. Many services can be executed on the mobile devices with various mobile applications launched to mobile platforms. People can choose what they like to install in their mobile devices and hence make their life more convenient, entertaining, and productive. However, there are too many mobile applications for users to choose. The goal of this research is to propose a methodology which can recommend top-N lists for mobile applications. A comment correlation matrix is proposed. Furthermore, a recommendation algorithm for mobile applications based on user comments and key attributes is built. With the proposed method, it outperforms Google play and is closer to user real feelings.
基金This research was supported by the Korea Institute for Advancement of Technology(KIAT)Grant Funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist)and the Soonchunhyang University Research Fund.
文摘In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,Instagram.This plugin extracts personal details from Instagram users,e.g.,name,user name,mobile number,ID,direct text or audio,video,and picture messages exchanged between different Instagram users.While developing the plugin,we identified resources available in both Android and IOS-based devices holding key forensics artifacts.We highlighted the poor privacy scheme employed by Instagram.This work,has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed,and how the traces,as well as the URL links of visual messages,can be used to access the privacy of any Instagram user without any critical credential verification.We also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file,which any criminal mind can use to set up or trap someone else.The outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones.
