IoT and artificial intelligence–based fuzzy-integral N-transform for sustainable groundwater management

Kadham, Shaymaa Maki; Mustafa, Mohammed Ahmed; Abbass, Nisreen Khalid; Karupusamy, Sathishkumar

doi:10.1007/s12518-022-00479-3

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…There are also extremely significant differences between pre-and postintervention [15,16] in terms of mothers' average scores on assessments of their knowledge of SBS. During pre-intervention, mothers' scores are lower on average [17].…”

Section: Ethical Considerationsmentioning

confidence: 89%

Evaluation of Mothers Knowledge about Shaken Baby Syndrome

2023

JPTCP

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Abusive head trauma (AHT), often known as shaken baby syndrome (SBS), is a type of brain damage induced by violent shaking in newborns and young children. SBS can be caused by shaking, dropping, or tossing a child. Anger directed towards a baby's caregiver who cries in an unfamiliar way is a common cause of shaking. As a result, parents and other newborn caregivers must monitor their own stress levels and establish good coping techniques. Shaken baby syndrome (SBS), a type of traumatic brain trauma, can occur when an infant is violently shaken. The goal of this study is to find out how much parents know about shaking baby syndrome. Participants in this study will be parents of infants under the age of a year. A survey was distributed to parents with newborns and toddlers. Questionnaires were distributed to participants after they provided informed consent. The questionnaires contained questions about age, education, nationality, and family size. Baby events throughout the first year of life, awareness of the risk of shaking your child during the first year, and familiarity with the phrase shaking baby syndrome were all included in SBS knowledge assessment questions. The sample size was limited to 200 participants. 60% of the population was under the age of 40, according to the demographic breakdown. Illiteracy affected 12% of the population. 56.6 percent of those experienced with SBS claimed they had shaken their baby to calm them down within the first year of life. Sixty-seven percent of parents interviewed claimed to being unaware of the risks of shaking a newborn during the first year of life. Furthermore, roughly 70% indicated they had never heard of SBS.

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Section: Ethical Considerationsmentioning

confidence: 89%

Evaluation of Mothers Knowledge about Shaken Baby Syndrome

2023

JPTCP

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IOT-based Smart Ground water Recharge System

Uniyal,

Bhatt,

Mohd

et al. 2023

2023 International Conference on Computational Intelligence, Communication Technology and Networking (CICTN)

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Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

Tripathi,

Bachmann,

Brunner

et al. 2024

J Big Data

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The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities and implement sustainability. Addressing complex, interconnected sustainability challenges requires a systematic, interdisciplinary approach, where technology, AI, and data-driven methods offer potential solutions for optimizing resources, integrating different aspects of sustainability, and informed decision-making. Sustainability research surrounds various local, regional, and global challenges, emphasizing the need to identify emerging areas and gaps where AI and data-driven models play a crucial role. The study performs a comprehensive literature survey and scientometric and semantic analyses, categorizes data-driven methods for sustainability problems, and discusses the sustainable use of AI and big data. The outcomes of the analyses highlight the importance of collaborative and inclusive research that bridges regional differences, the interconnection of AI, technology, and sustainability topics, and the major research themes related to sustainability. It further emphasizes the significance of developing hybrid approaches combining AI, data-driven techniques, and expert knowledge for multi-level, multi-dimensional decision-making. Furthermore, the study recognizes the necessity of addressing ethical concerns and ensuring the sustainable use of AI and big data in sustainability research.

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IoT and artificial intelligence–based fuzzy-integral N-transform for sustainable groundwater management

Cited by 4 publications

References 8 publications

Evaluation of Mothers Knowledge about Shaken Baby Syndrome

Evaluation of Mothers Knowledge about Shaken Baby Syndrome

IOT-based Smart Ground water Recharge System

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

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