Introduction In a city like Mumbai, traffic infrastructures are already operating at near or full capacity. Therefore, it is crucial to find ways to optimize the performance of existing transportation assets. Additionally, due to the dissatisfaction caused by poor schedule adherence, commuters find the lack of advisories about anticipated vehicle delays even more frustrating.
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Abstract Background Self-monitoring using the Internet offers new opportunities to engage perinatal diabetic women in self-management to reduce maternal and neonatal complications.
Objective This review aims to synthesize the best available evidence to evaluate the efficacy of Internet-based self-monitoring interventions in improving maternal and neonatal outcomes among perinatal diabetic women.
A risk of bias table was used to assess methodological quality. Meta-analysis was performed with RevMan software. Cochran Q and I2 tests were used to assess heterogeneity. Of the studies identified through electronic searches and reference lists, nine experimental studies from 10 publications were selected.
Results Half of the selected studies showed low risk of bias and comprised perinatal diabetic women in six countries. Conclusions This review shows neonatal or other maternal outcomes are similar between Internet-based self-monitoring interventions and usual diabetes care among perinatal diabetic women.
The long-term effects of the intervention must be confirmed in future studies using randomized controlled An analysis of monitoring of internet and follow-up data. Internet, pregnancy in diabetics, interventions, meta-analysis Introduction Diabetes mellitus DM is one of the most common complications of pregnancy; preexisting diabetes mellitus type 1 or type 2 and gestational diabetes mellitus GDM affect approximately 2.
Both GDM and preexisting diabetes are associated with increased medical costs and perinatal morbidity [ 1 ]. Existing interventions must be improved considering the increasing global incidence of diabetic pregnancy with serious perinatal outcomes [ 2 ].
Self-monitoring intervention is important in reducing maternal and neonatal complications related to diabetic pregnancies, both in cases of preexisting diabetes [ 3 ] and GDM [ 4 ]. Self-monitoring refers to systematic observation and recording of ongoing goal-directed activities [ 5 ] based on self-regulation theory [ 6 ].
Self-regulation involves self-awareness of the current condition of an individual [ 7 ]. Self-monitoring capitalizes on this motivation to achieve glycemic control [ 8 ], improve weight management [ 9 ], and reduce hospitalization and readmission rates [ 10 ].
Self-monitoring using the Internet offers new opportunities to engage participants in self-management.
A previous study [ 11 ] suggested that self-monitoring using Internet-based interventions and face-to-face interventions elicited similar outcomes among the patients.
Development of Internet-based interventions by using theory-based methods could promote substantial changes in the health behavior of a patient [ 12 ].
The Internet offers a diverse range of strategies for exchanging information and gaining knowledge [ 13 ] and thus can provide interactive ways to integrate communication with sensor-based systems glucometer and pedometer for transmitting information to a device or computer [ 1415 ]. Internet-based interventions employ a tracking system to improve self-reinforcement by using reminders cues to action [ 16 ], alerts [ 14 ], or graphic progress [ 17 ] through text messages short message service, SMS and email.
Asynchronous and synchronous interactions generate identical interactional benefits [ 18 ]. Peer-support interactivity allows women to interact with one another with a pseudonym [ 15 ]; this process could empower women to take ownership of their well-being and initiate resolutions for issues they are encountering, thereby contributing to a sense of increased self-efficacy among perinatal diabetic women [ 19 ].
A longitudinal follow-up is important to test the sustainability of self-monitoring patterns over an extended period [ 20 ]. The advantages of using the Internet to deliver interventions include low cost, easy distribution, and convenient delivery to multiple locations at specific times [ 421 ].
Internet access is increasingly used as an educational and supportive source of information for perinatal women [ 2223 ]. Internet-based interventions are rapidly developed with increased access to instant cyber connectivity; however, the effect of Internet-based self-monitoring on improving maternal and neonatal outcomes among perinatal diabetic women remains unclear.
Meta-analysis is used to document the application of Internet-based self-monitoring interventions among general diabetic population [ 24 - 26 ].
However, only a few studies were conducted on perinatal diabetic women. Four reviews focused on the use of technologies to evaluate healthy pregnant women in terms of maternal outcomes [ 27 ], women with complicated pregnancies in terms of cost effectiveness [ 28 ], a mixed group of patients with type 1 DM and GDM in terms of maternal-neonatal outcomes [ 29 ], and patients with GDM in terms of maternal outcomes [ 30 ].
None of the studies focused on Internet-based self-monitoring approaches. Hence, further research must be performed, particularly in light of the rapid improvements in technologies worldwide.
This review aims to systematically assess studies that examined Internet-based self-monitoring interventions for improving maternal and neonatal outcomes among perinatal diabetic women. Eligibility Criteria The full inclusion and exclusion criteria for the systematic review are described in Multimedia Appendix 1.Maintenance, Monitoring, and Analysis of Audit Logs CIS Control 6 This is a basic Control Collect, manage, and analyze audit logs of events that could help detect, understand, or recover from an attack.
The meta-analysis revealed that Internet-based self-monitoring interventions significantly decreased the level of maternal glycated hemoglobin A1c (z=, P) compared to usual care among perinatal diabetic women at postintervention.
Abstract. The purpose of the research is to collect and analyze the internet public opinion, understand the public voice and feed back in time. Basing on the understanding of public opinion and its related concepts, the paper explained the developing process of public opinion and internet public opinion in .
The core idea of the proposed plan, the Social Internet of Things  platform, leads to the discussion of two main components (A) Social Monitoring (B) Social Analysis. The Social Monitoring and Social Analysis components improve the mechanisms used to establish social links that facilitate cooperation and enable selective sharing of knowledge and IoT-services through recommendation services.
Telecommunications news. an Ethernet sniffer or wireless an analysis of monitoring of internet Thanks so much for this excellent article! This is the most concise information I have found to specifically address the software-side of network monitoring nChronos is an application centric.
Internet Monitoring and Analysis Submitted by Giuseppe Futia on Wed, 04/09/ - We have two ongoing projects that concern with Internet monitoring and .