Evaluation of fracture behavior of Warm mix asphalt (WMA) modified with hospital waste pyrolysis carbon black (HWPCB) under freeze–thaw damage (FTD) at low and intermediate temperatures

Zarei, Mohammad; Taghizadeh, Mohammad R.; Moayedi, Seyedeh Samaneh; Naseri, Alireza; Al-Bahrani, Mohammed; Khordehbinan, Mohammad Worya

doi:10.1016/j.conbuildmat.2022.129184

Cited by 26 publications

(6 citation statements)

References 58 publications

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“…Personalized learning is a teaching method that tailors learning experiences to each student's individual needs, strengths, weaknesses, and interests . Personalized learning uses technology to adapt instruction to each student's level and pace of learning (Zarei et al, 2022). AI plays a critical role in personalized learning by using machine learning algorithms to analyze data and identify patterns in students' learning behaviors, preferences, and achievements (Samad, 2022).…”

Section: Personalized Learningmentioning

confidence: 99%

Role of AI in Education

Harry

2023

Injurity

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Artificial intelligence (AI) has the potential to revolutionize the way we learn and teach, making it more personalized, engaging, and efficient. AI in education refers to the use of artificial intelligence technologies, such as machine learning and natural language processing, to enhance the learning experience. It involves the use of algorithms that analyze data, identify patterns, and make predictions, enabling educators to personalize learning for each student. The potential benefits of using AI in education are significant. Personalized learning, one of the most significant advantages of AI in education, can lead to better student outcomes, as students can learn at their own pace and in a way that suits their learning style. Intelligent tutoring systems, chatbots, and automated grading and assessment can increase efficiency, save teachers' time, and provide more accurate and consistent feedback. However, there are also challenges associated with using AI in education. Privacy and security concerns, lack of trust, cost, and potential bias are some of the challenges that need to be addressed. Ethical considerations such as ensuring accessibility, transparency, and fairness in AI-based education systems also need to be taken into account. Despite these challenges, the potential of AI in education is immense. AI can provide better data analysis, enabling educators to make data-driven decisions. In this review we described role of AI in management, promotion of education which describe the effect of AI in education sector

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Section: Personalized Learningmentioning

confidence: 99%

Role of AI in Education

Harry

2023

Injurity

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“…Electronic Health Records (EHRs) have become increasingly common in the United States, and AI can be used to analyze EHRs to identify trends and patterns in patient data, which can help healthcare providers make more informed decisions about patient care (Yeruva et al, 2022. For example, in 2020, researchers at Stanford University developed an AI algorithm that can predict which patients are most likely to be readmitted to the hospital within 30 days of discharge (Li et al, 2022) (Zarei et al, 2022). The algorithm was trained on a dataset of more than 2 million patient records and achieved an accuracy of 86% (Yang et al, 2022).…”

Section: Electronic Health Records (Ehrs)mentioning

confidence: 99%

Artificial Intelligence in Health Sector of USA

Pendy¹

2023

JISS

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The article describes how AI has already made a significant impact in the health sector in the US, with many promising future applications. In medical imaging, for example, AI algorithms have been developed that can detect and classify anomalies with high accuracy rates, potentially reducing the need for unnecessary biopsies or surgeries. Personalized medicine is another area where AI is being used to analyze large amounts of patient data and provide tailored treatments. AI is also being used to improve the accuracy and efficiency of electronic health records (EHRs) by automatically detecting errors and inconsistencies. In drug discovery, AI algorithms can analyze large data sets and predict which compounds are likely to be effective in treating a particular disease, potentially reducing the time and cost of drug development. In the future, AI is expected to play an even greater role in precision medicine, enabling clinicians to develop customized treatment plans based on a patient's individual genetic and medical history. AI is also being developed for use in virtual assistants, which can provide patients with personalized health advice and reminders. Clinical decision support systems are another area where AI is expected to have a significant impact, helping clinicians to make more informed decisions by analyzing patient data and providing recommendations based on the latest research and best practices. Overall, the article suggests that AI has the potential to transform healthcare by improving patient outcomes, reducing costs, and increasing access to care. However, the article also acknowledges that there are challenges to be addressed, such as ensuring the accuracy and fairness of AI algorithms and addressing privacy concerns.

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“…The use of additives in flexible and concrete pavements has become popular in recent years. Various studies have shown that additives have been able to improve most of the engineering properties of pavements (Zarei and Zahedi, 2016;Zahedi et al, 2017a;Zahedi et al, 2017b;Zahedi et al, 2020;Janmohammadi et al, 2020;Zarei et al, 2020b;Zarei et al, 2020c;Abdi Kordani et al, 2021;Rassafi et al, 2021;Sodeyfi et al, 2021;Zarei et al, 2021;Zarei et al, 2022a;Zarei et al, 2022b;Zarei et al, 2022c;Za-rei et al, 2022d;Tabasi et la., 2023a;Tabasi et al, 2023b;Xiong et al, 2023;Hos-seini et al 2023;Tabasi et al 2023c;Ziaee et al 2023;Liu et al 2023;Wang et al 2024;Qiu et al 2024;Yang et al 2024). With this concept, many chemicals in the world are used as de-icing at airports.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Effect of De-icing Chemicals on Performance of Airport Concrete Pavement under Freeze-Thaw Cycles

Sadeghi,

Abdi Kordani,

Zarei

2024

Electron. J. Struct. Eng.

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Weather conditions such as rainfall and freeze-thaw cycles affect the pavement performance of airports; therefore, methods such as using de-icing chemicals are considered in order to maintain the normal condition of the airport runway. In addition to the above factors, de-icing chemicals play an important role in pavement performance and the damage caused to it due to their chemical nature. Therefore, investigating the effect of de-icing chemicals and determining the appropriate material to maintain the airport's pavement is a priority for engineers. In this study, the effect of three de-icing chemicals, sodium chloride, potassium acetate, and ethylene glycol (at concentrations of 23.3%, 49%, and 69.07%, respectively) on skid resistance (The British Pendulum Test (BPT) and The Road Test Machine (RTM)) and the mechanical properties (Compressive Strength Test) of the concrete under Freezing and Thawing Cycle were investigated. The BPT test results showed that sodium chloride resulted in better skid resistance than other chemicals when the number of cycles is more than 100 cycles. This result was also obtained for all cycles in the RTM test. Also, ethylene glycol was not suitable for improving skid resistance based on BPT and RTM tests. Furthermore, the results of the compressive strength of concrete mixtures showed that the de-icing chemicals reduced the compressive strength of concrete mixtures. Based on all the results, sodium chloride had better results than other chemicals.

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Evaluation of fracture behavior of Warm mix asphalt (WMA) modified with hospital waste pyrolysis carbon black (HWPCB) under freeze–thaw damage (FTD) at low and intermediate temperatures

Cited by 26 publications

References 58 publications

Role of AI in Education

Role of AI in Education

Artificial Intelligence in Health Sector of USA

Evaluation of the Effect of De-icing Chemicals on Performance of Airport Concrete Pavement under Freeze-Thaw Cycles

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