Prenatal Sonographic and MRI Assessment of Early Fetal Neck Immature Teratoma

Kapoor, Anu; Kapoor, Apurva; Kapoor, Ravi; Kapoor, Aakaar; Kapoor, Sunita

doi:10.1007/s40556-020-00272-5

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…The above finding is consistent with Paria Agharabi and Karnika Kapoor who have done researches on this data too [14,15]. However, what is different from previous researches is that:…”

Section: Discuss Results With Respect To Wider Literaturesupporting

confidence: 90%

Fetal health screening model and element analysis

Huang

2023

TNS

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The United Nations Sustainable Development Goals has mentioned to reduce child mortality. That is also a crucial indicator of human progress. The UN hopes that all countries will eradicate preventable deaths of newborns at the end of 2030. Cardiotocogram (CTG) can be used to identify in-danger women during pregnancy. The aim of this article is to apply machine learning algorithm techniques on CTG data to ensure fetal well-being. CTG data of 2126 samples and 22 variables were obtained from the CTG exams on Kaggle. Two different classification models were trained through the data. In order to predict Normal, Suspect, and Pathological fetal states, each class had its own sensitivity, precision and F1 score. Each model has its overall accuracy. Determined by obstetricians interpretation of CTG, Normal state accounted for 57%, Suspect state accounted for 23% and Pathological state accounted for 20%. The classification models generated by Logistic Regression and Random Forest to predict the suspect and pathological state of the fetus by tracing CTG. They had high precision of 86% and 94% respectively. However, the classification model developed by Random Forest had higher prediction accuracy for a negative fetal outcome. Healthcare workers without professional training in low-income countries have the opportunity to utilize this model for the purpose of prioritizing pregnant women in hard-to-reach regions, ensuring they receive timely referrals and appropriate follow-up care.

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“…The above finding is consistent with Paria Agharabi and Karnika Kapoor who have done researches on this data too [14,15]. However, what is different from previous researches is that:…”

Section: Discuss Results With Respect To Wider Literaturesupporting

confidence: 90%

Fetal health screening model and element analysis

Huang

2023

TNS

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“…Through taking this approach and considering transferability for international adoption of this demonstration, it is noteworthy that chhena are curds originating from the Indian subcontinent, made from cow milk by adding lemon juice and straining . Chhena is then pressed and can be processed to make paneer, an unaged, nonmelting farmer cheese.…”

Section: Systems Thinking Approach Reveals Morementioning

confidence: 99%

Valorization of Sour Milk to Form Bioplastics: Friend or Foe?

et al. 2020

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A demonstration was developed to introduce students to waste valorization in order to form bioplastics. Waste valorization is the process of reusing, recycling, or composting, from waste, useful products or sources of energy. In this demonstration, waste valorization is introduced by converting sour milk into a bioplastic via the addition of lemon juice upon heating. Utilizing lemon juice to perform the acidification offers a greener procedure than the traditional formaldehyde (used commercially to make galalith) and enhances the transferability in remote locations such as the Amazon Rainforest in comparison to vinegar. Students can establish connections to relevant United Nations Sustainable Development Goals (UN SDGs) by adopting a systems thinking approach. However, through this, it is noteworthy that this process is also used (particularly in the Indian subcontinent) to make paneer, a farmer cheese. While this also enables students to make a link to additional UN SDGs pertaining to “zero hunger”, there is an ethical discussion to be had as to whether such a process that is utilized to feed malnourished citizens should be used to make a decorative bioplastic. As such, despite this demonstration being transferrable, instructors may consider carefully whether to utilize this resource, and, if so, to use this as an opportunity to teach the importance of ethics in science.

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“…By optimizing room prices, hotels can increase revenue while also providing customers with competitive prices. AI is also being used to personalize guest experiences and improve marketing efforts (Kapoor & Kapoor, 2021). Hotel companies are developing mobile apps that use AI to suggest amenities and activities based on guest preferences and behaviors.…”

Section: Introductionmentioning

confidence: 99%

Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry

Štilić¹,

Nicić²,

Puška³

2023

Turističko poslovanje

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The hotel industry is undergoing significant change as a result of technological advancements and shifting guest preferences. Artificial intelligence (AI) is playing an increasingly important role in this transformation, allowing hotels to provide personalized, efficient, and sustainable experiences that meet the needs of modern travelers. This paper provides an overview of the role and application of AI in the hotel industry, highlighting its benefits and challenges as well as presenting case studies that show how hotels are currently utilizing AI technology. According to the review of literature, AI technology can be used to optimize hotel operations, improve the guest experience, and boost sustainability efforts. However, the use of AI technology in the hotel industry raises concerns about data privacy and security, job displacement, and the need for human supervision to ensure ethical and responsible deployment. Finally, the paper discusses the future directions of AI in the hotel industry, highlighting the emergence of voice technology and augmented reality as potential areas for future innovation. This paper adds to the growing body of literature on the use of AI in the hotel industry and provides useful insights for hotel managers, technology providers, and researchers.

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Prenatal Sonographic and MRI Assessment of Early Fetal Neck Immature Teratoma

Cited by 3 publications

References 14 publications

Fetal health screening model and element analysis

Fetal health screening model and element analysis

Valorization of Sour Milk to Form Bioplastics: Friend or Foe?

Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry

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