RESUMO
The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous devices, has pioneered the notion of smart city. Various components, i.e., smart transportation, smart community, smart healthcare, smart grid, etc. which are integrated within smart city architecture aims to enrich the quality of life (QoL) of urban citizens. However, real-time processing requirements and exponential data growth withhold smart city realization. Therefore, herein we propose a Big Data analytics (BDA)-embedded experimental architecture for smart cities. Two major aspects are served by the BDA-embedded smart city. Firstly, it facilitates exploitation of urban Big Data (UBD) in planning, designing, and maintaining smart cities. Secondly, it occupies BDA to manage and process voluminous UBD to enhance the quality of urban services. Three tiers of the proposed architecture are liable for data aggregation, real-time data management, and service provisioning. Moreover, offline and online data processing tasks are further expedited by integrating data normalizing and data filtering techniques to the proposed work. By analyzing authenticated datasets, we obtained the threshold values required for urban planning and city operation management. Performance metrics in terms of online and offline data processing for the proposed dual-node Hadoop cluster is obtained using aforementioned authentic datasets. Throughput and processing time analysis performed with regard to existing works guarantee the performance superiority of the proposed work. Hence, we can claim the applicability and reliability of implementing proposed BDA-embedded smart city architecture in the real world.
RESUMO
Introduction Pressure ulcers, also known as bedsores, are a significant concern for bedridden individuals, presenting both physical and socioeconomic challenges. Factors such as prolonged immobility, chronic medical conditions, and poor nutrition contribute to their development. Despite extensive research in some regions, studies comparing diabetic and non-diabetic populations remain limited, particularly in low-income settings. This study aimed to investigate the risk factors and frequency of pressure ulcers among bedridden patients, addressing this gap in understanding and guiding targeted interventions. Materials and methods A cross-sectional study was conducted across four government hospitals in Peshawar, Pakistan. A total of 388 bedridden patients with pressure ulcers were included, and data were collected through a questionnaire. The questionnaire covered demographics, comorbidities, duration of bedbound status, BMI, and caregivers' awareness of pressure ulcer care. Data analysis was performed using SPSS version 22.0 (Armonk, NY: IBM Corp.), with qualitative data presented as frequencies and percentages and quantitative data as mean and standard deviation. Chi-square tests were utilized for significance, with p<0.05 considered significant. Results Of the 388 patients analyzed, 230 (59.3%) were diabetic, highlighting the prevalence of diabetes among pressure ulcer cases. The majority of diabetic patients with ulcers were over 41 years old, and 293 (75.5%) had comorbidities. Surgical intervention was the primary cause of ulcers in 213 (54.8%) cases, followed by stroke in 77 (19.8%) cases. Notably, 252 (65%) of caregivers exhibited inadequate knowledge regarding ulcer care. Stage II ulcers were prevalent in both diabetic and non-diabetic cohorts. Conclusions Pressure ulcers are poorly controlled complications observed in bedridden individuals, highlighting a critical need for comprehensive preventive measures and caregiver education to alleviate the burden of pressure ulcers, especially in diabetic patients. Factors such as prolonged immobility, surgical interventions, and insufficient caregiver knowledge contribute to the development of pressure ulcers. Understanding these complexities is essential for implementing effective care approaches and mitigating the impact of pressure ulcers.