Pub Date : 2022-12-28eCollection Date: 2023-03-21DOI: 10.2142/biophysico.bppb-v20.s003
Chii-Shen Yang, Mikio Kataoka
{"title":"From activation dynamics to functional diversity of retinal proteins: Report for the session 3 at the 19<sup>th</sup> International Conference on Retinal Proteins.","authors":"Chii-Shen Yang, Mikio Kataoka","doi":"10.2142/biophysico.bppb-v20.s003","DOIUrl":"10.2142/biophysico.bppb-v20.s003","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"9 1","pages":"e201003"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10865879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89138067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katherine L Tucker, Sam Mort, Ly-Mee Yu, Helen Campbell, Oliver Rivero-Arias, Hannah M Wilson, Julie Allen, Rebecca Band, Alison Chisholm, Carole Crawford, Greig Dougall, Lazarina Engonidou, Marloes Franssen, Marcus Green, Sheila Greenfield, Lisa Hinton, James Hodgkinson, Layla Lavallee, Paul Leeson, Christine McCourt, Lucy Mackillop, Jane Sandall, Mauro Santos, Lionel Tarassenko, Carmelo Velardo, Lucy Yardley, Lucy C Chappell, Richard J McManus
Importance: Inadequate management of elevated blood pressure (BP) is a significant contributing factor to maternal deaths. Self-monitoring of BP in the general population has been shown to improve the diagnosis and management of hypertension; however, little is known about its use in pregnancy.
Objective: To determine whether self-monitoring of BP in higher-risk pregnancies leads to earlier detection of pregnancy hypertension.
Design, setting, and participants: Unblinded, randomized clinical trial that included 2441 pregnant individuals at higher risk of preeclampsia and recruited at a mean of 20 weeks' gestation from 15 hospital maternity units in England between November 2018 and October 2019. Final follow-up was completed in April 2020.
Interventions: Participating individuals were randomized to either BP self-monitoring with telemonitoring (n = 1223) plus usual care or usual antenatal care alone (n = 1218) without access to telemonitored BP.
Main outcomes and measures: The primary outcome was time to first recorded hypertension measured by a health care professional.
Results: Among 2441 participants who were randomized (mean [SD] age, 33 [5.6] years; mean gestation, 20 [1.6] weeks), 2346 (96%) completed the trial. The time from randomization to clinic recording of hypertension was not significantly different between individuals in the self-monitoring group (mean [SD], 104.3 [32.6] days) vs in the usual care group (mean [SD], 106.2 [32.0] days) (mean difference, -1.6 days [95% CI, -8.1 to 4.9]; P = .64). Eighteen serious adverse events were reported during the trial with none judged as related to the intervention (12 [1%] in the self-monitoring group vs 6 [0.5%] in the usual care group).
Conclusions and relevance: Among pregnant individuals at higher risk of preeclampsia, blood pressure self-monitoring with telemonitoring, compared with usual care, did not lead to significantly earlier clinic-based detection of hypertension.
{"title":"Effect of Self-monitoring of Blood Pressure on Diagnosis of Hypertension During Higher-Risk Pregnancy: The BUMP 1 Randomized Clinical Trial.","authors":"Katherine L Tucker, Sam Mort, Ly-Mee Yu, Helen Campbell, Oliver Rivero-Arias, Hannah M Wilson, Julie Allen, Rebecca Band, Alison Chisholm, Carole Crawford, Greig Dougall, Lazarina Engonidou, Marloes Franssen, Marcus Green, Sheila Greenfield, Lisa Hinton, James Hodgkinson, Layla Lavallee, Paul Leeson, Christine McCourt, Lucy Mackillop, Jane Sandall, Mauro Santos, Lionel Tarassenko, Carmelo Velardo, Lucy Yardley, Lucy C Chappell, Richard J McManus","doi":"10.1001/jama.2022.4712","DOIUrl":"10.1001/jama.2022.4712","url":null,"abstract":"<p><strong>Importance: </strong>Inadequate management of elevated blood pressure (BP) is a significant contributing factor to maternal deaths. Self-monitoring of BP in the general population has been shown to improve the diagnosis and management of hypertension; however, little is known about its use in pregnancy.</p><p><strong>Objective: </strong>To determine whether self-monitoring of BP in higher-risk pregnancies leads to earlier detection of pregnancy hypertension.</p><p><strong>Design, setting, and participants: </strong>Unblinded, randomized clinical trial that included 2441 pregnant individuals at higher risk of preeclampsia and recruited at a mean of 20 weeks' gestation from 15 hospital maternity units in England between November 2018 and October 2019. Final follow-up was completed in April 2020.</p><p><strong>Interventions: </strong>Participating individuals were randomized to either BP self-monitoring with telemonitoring (n = 1223) plus usual care or usual antenatal care alone (n = 1218) without access to telemonitored BP.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was time to first recorded hypertension measured by a health care professional.</p><p><strong>Results: </strong>Among 2441 participants who were randomized (mean [SD] age, 33 [5.6] years; mean gestation, 20 [1.6] weeks), 2346 (96%) completed the trial. The time from randomization to clinic recording of hypertension was not significantly different between individuals in the self-monitoring group (mean [SD], 104.3 [32.6] days) vs in the usual care group (mean [SD], 106.2 [32.0] days) (mean difference, -1.6 days [95% CI, -8.1 to 4.9]; P = .64). Eighteen serious adverse events were reported during the trial with none judged as related to the intervention (12 [1%] in the self-monitoring group vs 6 [0.5%] in the usual care group).</p><p><strong>Conclusions and relevance: </strong>Among pregnant individuals at higher risk of preeclampsia, blood pressure self-monitoring with telemonitoring, compared with usual care, did not lead to significantly earlier clinic-based detection of hypertension.</p><p><strong>Trial registration: </strong>ClinicalTrials.gov Identifier: NCT03334149.</p>","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"10 1","pages":"1656-1665"},"PeriodicalIF":20.4,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066279/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89137640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-31DOI: 10.33832/ijsia.2021.15.1.01
Ranie B. Canlas
{"title":"Capturing Security Mechanisms Applied to Ecommerce: An Analysis of Transaction Security","authors":"Ranie B. Canlas","doi":"10.33832/ijsia.2021.15.1.01","DOIUrl":"https://doi.org/10.33832/ijsia.2021.15.1.01","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42678781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-31DOI: 10.33832/ijsia.2020.14.1.01
Bosubabu Samban, Y. Ramesh, M. .. Rao, T. C. Rao
{"title":"Blockchain Approach to Cyber Security Vulnerabilities Attacks and Potential Countermeasures","authors":"Bosubabu Samban, Y. Ramesh, M. .. Rao, T. C. Rao","doi":"10.33832/ijsia.2020.14.1.01","DOIUrl":"https://doi.org/10.33832/ijsia.2020.14.1.01","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"14 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41400409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-31DOI: 10.33832/ijsia.2020.14.1.02
Zeeshan Haider, Tauseef Jamal, M. Asam, S. A. Butt, A. Ajaz
— The degradation of an adequate medical facilities for safety and healthy human atmosphere motivated researchers to think more generously to provide a smart solution in medical applications. Wireless body area network (WBAN) is one of the potential platform to cope up to the needs of prevailing medical demands and challenges. In the literature, WBAN is a femto-network (ranges up to few meters) formation around a human body for sensing, transmission and reception functionality. These functionalities are executed using various modes by placement of sensors node on human posture or by injecting inside of the human body. This mode of communication have various challenges when deployed in medical applications. Due to the critical nature of human physiological sensed data which demands a reliable and secure transmission, reception between sensors, intermediate and master node. This article outcomes are two fold, first is the state of art challenges of WBAN and the need of the ultimate smart solution for safe and reliable communication in Wireless body area Networks. Secondly, using Cooperation techniques for mitigation of WBAN issues, proposed cooperative model is presented for reliable data transmission using an efficient network resource utilization mechanism.
{"title":"Mitigation of Wireless Body Area Networks Challenges using Cooperation","authors":"Zeeshan Haider, Tauseef Jamal, M. Asam, S. A. Butt, A. Ajaz","doi":"10.33832/ijsia.2020.14.1.02","DOIUrl":"https://doi.org/10.33832/ijsia.2020.14.1.02","url":null,"abstract":"— The degradation of an adequate medical facilities for safety and healthy human atmosphere motivated researchers to think more generously to provide a smart solution in medical applications. Wireless body area network (WBAN) is one of the potential platform to cope up to the needs of prevailing medical demands and challenges. In the literature, WBAN is a femto-network (ranges up to few meters) formation around a human body for sensing, transmission and reception functionality. These functionalities are executed using various modes by placement of sensors node on human posture or by injecting inside of the human body. This mode of communication have various challenges when deployed in medical applications. Due to the critical nature of human physiological sensed data which demands a reliable and secure transmission, reception between sensors, intermediate and master node. This article outcomes are two fold, first is the state of art challenges of WBAN and the need of the ultimate smart solution for safe and reliable communication in Wireless body area Networks. Secondly, using Cooperation techniques for mitigation of WBAN issues, proposed cooperative model is presented for reliable data transmission using an efficient network resource utilization mechanism.","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47204281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-31DOI: 10.33832/ijsia.2020.14.1.03
Haris Mumtaz, M. Alshayeb, S. Mahmood, M. Niazi
— Use case modelling is an industrial de-facto standard technique to express functional requirements. Security bad smells are design flaws that can potentially degrade the quality of software by affecting a system’s ability to prevent malicious activities. The presence of security bad smells in a use case model is likely to propagate security vulnerabilities to other software artefacts. Therefore, the detection and refactoring of security bad smells in use case models is important for ensuring the overall quality of software systems. In this paper, we propose a genetic algorithm-based detection approach to detect security bad smells. A refactoring process is then applied to correct the security bad smells. Finally, the improvement to security is assessed through the statistical analysis of quality metrics. The practicality of the approach is demonstrated by applying it to a set of use case models. The results show that the proposed security bad smell detection and correction technique can significantly improve the quality of use case models.
{"title":"Improving the Security Quality of Use Case Models through the Application of Software Refactoring Using Genetic Algorithm","authors":"Haris Mumtaz, M. Alshayeb, S. Mahmood, M. Niazi","doi":"10.33832/ijsia.2020.14.1.03","DOIUrl":"https://doi.org/10.33832/ijsia.2020.14.1.03","url":null,"abstract":"— Use case modelling is an industrial de-facto standard technique to express functional requirements. Security bad smells are design flaws that can potentially degrade the quality of software by affecting a system’s ability to prevent malicious activities. The presence of security bad smells in a use case model is likely to propagate security vulnerabilities to other software artefacts. Therefore, the detection and refactoring of security bad smells in use case models is important for ensuring the overall quality of software systems. In this paper, we propose a genetic algorithm-based detection approach to detect security bad smells. A refactoring process is then applied to correct the security bad smells. Finally, the improvement to security is assessed through the statistical analysis of quality metrics. The practicality of the approach is demonstrated by applying it to a set of use case models. The results show that the proposed security bad smell detection and correction technique can significantly improve the quality of use case models.","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48130277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.33832/ijsia.2019.13.4.05
Priyanka Tripathi, R. Makwana
{"title":"An Ensemble Classification Approach with Selective Under and Over Sampling of Imbalance Intrusion Detection Dataset","authors":"Priyanka Tripathi, R. Makwana","doi":"10.33832/ijsia.2019.13.4.05","DOIUrl":"https://doi.org/10.33832/ijsia.2019.13.4.05","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":" ","pages":"41-50"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45087269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.33832/ijsia.2019.13.4.01
S. Makka, B. B. Sagar
{"title":"Communication of Two Controller Area Network Segments through Wireless Sensor Network","authors":"S. Makka, B. B. Sagar","doi":"10.33832/ijsia.2019.13.4.01","DOIUrl":"https://doi.org/10.33832/ijsia.2019.13.4.01","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"8 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69499543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.33832/ijsia.2019.13.4.08
A. Singh, Anurag Jain
{"title":"Financial Fraud Detection using Bio-Inspired Key Optimization and Machine Learning Technique","authors":"A. Singh, Anurag Jain","doi":"10.33832/ijsia.2019.13.4.08","DOIUrl":"https://doi.org/10.33832/ijsia.2019.13.4.08","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"13 1","pages":"75-90"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46967711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.33832/ijsia.2019.13.4.06
R. Johari, A. Parihar
{"title":"BLAST: Blockchain Algorithm for Secure Transaction","authors":"R. Johari, A. Parihar","doi":"10.33832/ijsia.2019.13.4.06","DOIUrl":"https://doi.org/10.33832/ijsia.2019.13.4.06","url":null,"abstract":"","PeriodicalId":46187,"journal":{"name":"International Journal of Security and Its Applications","volume":"13 1","pages":"59-66"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49173077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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