Comparative Effectiveness of Rosuvastatin Versus Atorvastatin in Acute Ischemic Stroke Treatment by Joon‐Tae Kim, Ji Sung Lee, Hyunsoo Kim, Beom Joon Kim, Jihoon Kang, Keon‐Joo Lee, Jong‐Moo Park, Kyusik Kang, Soo Joo Lee, Jae Guk Kim, Jae‐Kwan Cha, Dae‐Hyun Kim, Tai Hwan Park, Kyungbok Lee, Jun Lee, Keun‐Sik Hong, Yong‐Jin Cho, Hong‐Kyun Park, Byung‐Chul Lee, Kyung‐Ho Yu, Mi Sun Oh, Dong‐Eog Kim, Jay Chol Choi, Jee‐Hyun Kwon, Wook‐Joo Kim, Dong‐Ick Shin, Kyu Sun Yum, Sung Il Sohn, Jeong‐Ho Hong, Sang‐Hwa Lee, Man‐Seok Park, Wi‐Sun Ryu, Kwang‐Yeol Park, Juneyoung Lee, Jeffrey L. Saver, Hee‐Joon Bae

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Providing a customer satisfaction model of non-attendance services in the social security organization by Hossein Barzgar, Vahid Sanavi Garoosiyan, ali hossein zadeh

“…However, with the increasing opportunities offered by technology and artificial intelligence, digital assistants can create favorable outcomes for Social Security clients with new services.…”
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Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020 by Swati Mahajan, Amar Shah, Sarit Sharma, Rituparna Das, Kathiresan Jeyashree, Mathavaswami Vijayageetha, Bhavesh Modi, Burugina Nagaraja Sharath, Vijay Singh, Shamim Mannan, Sairu Philip, Jasleen Kaur, Ranjani Ramachandran, Raghuram Rao, Sriram Selvaraju, Bency Joseph, Vaibhav Shah, Kiran Rade, Lalit Sankhe, Surinder Singh, Sandeep Chauhan, Anupam Banerjee, Devender Kumar, Ganapathy Kalaiselvan, Bhavin Vadera, Paras Mehta, Meenakumari Natarajan, Manoj Murhekar, Aswathy Sreedevi, Jeromie Thangaraj, Saravanakumar Velusamy, Sasidharan Akhil, Dhanapal Sudha Rani, Ramasamy Sabarinathan, Sakthivel Manikandanesan, Rajalakshmi Elumalai, Amarendra Mahapatra, Almas Shamim, Ashok Bhardwaj, Anil Purty, Anand Sridhar, Aniket Chowdhury, Asif Shafie, Avijit Choudhury, Deka Dhrubjyoti, Hardik Solanki, Krushna Sirmanwar, Kshitij Khaparde, Malik Parmar, Nisha Dahiya, Parija Debdutta, Quazi Ahmed, Ranjeet Prasad, Rohini Shinde, Rupali Baruah, Sandip Bharaswadkar, Shanta Achanta, Shibu Balakrishnan, Shivani Chandra, Sophia Khumukcham, Sudarsan Mandal, Sumitha Chalil, Venkatesh Roddawar, Kuldeep Sachdeva, Jayakrishna Kurada, Mayank Sharma, Debajyoti Mohapatra, Yogesh Patel, Sapna Thekkepat, Karthikeyan Kumaraswamy, Mallika Tharakan, Shramana Majumdar, Vrinda Manocha, Sukriti Chauhan, Shekhar Waikar, Puja Ambule, Krithika Murali, Devi Madhavi Bhimarasetty, Tulika Goswami, Darshan Mahyavanshi, Krutarth Bhrahmbhatt, Bhautik Modi, Anmol Gupta, Sunil Raina, Rajiv Kumar Gupta, Ratnesh Sinha, Manju Toppo, Gajen Medhi, Swati M Patki, Bishnu Ram Das, Lisa Sarangi, Afsal Hakim, Suresh Balan, Baer Philip Ravikumar, Subrata Baidya, Abhik Sinha, Boddepalli Nagendra Naidu, Bikash Chandra Nayak, Anoop Dev, Pallavi Boro, Debarshi Paul, Amrita Sarkar, Bhavesh Bariya, Jatin Chhaya, Dixit Chauhan, Mithun Sanghavi, Nilesh Thakor, Rohit Ram, Hinal Baria, Abhilash Sood, Anupam Parashar, Yangchen Dolma, Rakesh Bahl, Dilip Kumar, Mohammad Salim Khan, A K Jayasree, Zinia Nujum, Sheela P Haveri, Dinesh Bhatnagar, Subrata Kumar Palo, Priyesh Marskole, Prashant Verma, Dinesh Kumar Pal, Neelam Toppo, Sanjay R Quraishi, Sunil Panigrahi, Rambadan Chauhan, Jayashree Gothankar, Swapnali S Kadam, Dasi Rao, Sudhir Wanje, Pallavi Uplap, Ningombam Joenna Devi, Rikrak Ch Marak, Markordor Lyngdoh, Manoj B Patki, Satyajit Sundar Ray, Kavita Vasudevan, Mahesh Satija, Mahesh Choudhary, Mitin Parmar, Venkatesh Govindasamy, Karlapudi Nitesh Kumar, Goutham Thumari, Amar Tripura, Chanda Mog, Shampa Das, Ritesh Singh, Chandra Shekar Maity, Mamta Gehlawat

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Modeling the quality of tax audit based on the acceptance of legal taxpayers in business by Mohsen Hajibabaei, Sina Kheradyar, Mojtaba Malekichoobari

“…The use of technology in tax auditing can help improve the quality and efficiency of this process and tax tools based on artificial intelligence and data analysis to obtain more information about the taxes of legal taxpayers and make a more accurate assessment (Asnawi, 2016). …”
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Designing a Future Study Model: Examining Bank Employees’ Attitudes Towards Job Security in the Era of Blockchain Technology (Horizon 2031) by Saeid Ghazi Nezhad, Hasan Darvish, Mohammad Mahmoudi Meymand

“…While the use of technology in financial services is not a new phenomenon, recent years have witnessed a remarkable transformation in the provision of financial services due to the integration of advanced technologies, such as the Internet of Things, artificial intelligence, and blockchain (Edwards et al., 2019).Adoption and development of blockchain and distributed ledger technology in the banking industry are still in the early stages, encountering several challenges along the way. …”
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Providing an entrepreneurial marketing model based on teamwork with an emphasis on start-up companies by Parastoo Bafghi, Mahmoud Ahmadi Sharif, Sina Nematizadeh

“…The results of the research showed that causal conditions with 4 variables of network capability, use of artificial intelligence, marketing capability, and customer knowledge have an effect on digital marketing strategies, and the results of confirmatory factor analysis showed that the fit indices of the model were confirmed.Research methodologyThe research method is applicable according to its purpose, and qualitative in terms of its implementation. …”
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Designing the strategic model of online banking relational marketing in the fourth industrial revolution with the foundation's data approach. by Aliasghar Atarodi, arezo ahmadi danyali, nader gharib nawaz

“…Mohammadi fateh et al, (2022) showed that the technologies of the fourth industrial revolution are big data, biological identification system, fraud detection technologies, contactless ATM, data mining, cloud computing, marketing, versatile channel, artificial intelligence, fintech, biometrics, blockchain, intelligent social networks, artificial neural networks, remote monitoring technologies, commercial Internet of Things, and digital account, respectively. …”
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Presenting the evaluation model of financial technology policies in National Bank of Iran by Vahid moradi, changiz mohammadi zadeh, ali farhadi mahali

“…The banking industry can benefit from incorporating emerging technologies such as blockchain, artificial intelligence, learning machine or other decision-making layers. …”
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TAME 2.0: expanding and improving online data science training for environmental health research by Alexis Payton, Alexis Payton, Alexis Payton, Elise Hickman, Elise Hickman, Elise Hickman, Jessie Chappel, Jessie Chappel, Jessie Chappel, Kyle Roell, Kyle Roell, Lauren E. Koval, Lauren E. Koval, Lauren A. Eaves, Lauren A. Eaves, Chloe K. Chou, Chloe K. Chou, Chloe K. Chou, Allison Spring, Allison Spring, Sarah L. Miller, Sarah L. Miller, Sarah L. Miller, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Oyemwenosa N. Avenbuan, Rebecca Boyles, Rebecca Boyles, Paul Kruse, Cynthia V. Rider, Grace Patlewicz, Caroline Ring, Cavin Ward-Caviness, David M. Reif, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Ilona Jaspers, Rebecca C. Fry, Rebecca C. Fry, Rebecca C. Fry, Julia E. Rager, Julia E. Rager, Julia E. Rager, Julia E. Rager

“…Training topics were prioritized based upon ongoing engagement with trainees, professional colleague feedback, and emerging topics in the field of environmental health research (e.g., artificial intelligence and machine learning). TAME 2.0 is a significant expansion upon the original TAME training resource pilot. …”
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AI Algorithms for Positive Change in Digital Futures by Manolya Kavakli-Thorne, Zhuangzhuang Dai

“…Artificial Intelligence (AI) is transforming industries and revolutionizing how we interact with technology at an unprecedented pace, playing a crucial role in shaping our digital future [...]…”
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Reliability Evaluation of Distribution Power Systems Based on Artificial Neural Network Techniques by Mohammoud M. Hadow, Ahmed N. Abd Allah, Sazali P. Abdul karim

“…In order to assess the reliability of distribution systems, more and more researchers are directing their attention to the artificial intelligent method, and several reliability indices have been proposed, such as basic load point indices and system performance indices. …”
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Neuromorphic system using capacitor synapses by Reon Oshio, Takumi Kuwahara, Takeru Aoki, Mutsumi Kimura, Yasuhiko Nakashima

“…Abstract Artificial intelligences are indispensable social infrastructures, neural networks are embodiment methodologies, and neuromorphic systems are promising solutions for compact size and low energy. …”
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Predicting Shear Capacity of FRP-Reinforced Concrete Beams without Stirrups by Artificial Neural Networks, Gene Expression Programming, and Regression Analysis by Ghazi Bahroz Jumaa, Ali Ramadhan Yousif

“…This paper proposes three new prediction models, utilizing artificial neural networks (ANNs) and gene expression programming (GEP), as a recently developed artificial intelligent techniques, and nonlinear regression analysis (NLR) as a conventional technique. …”
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Digital Twin Hospital Buildings: An Exemplary Case Study through Continuous Lifecycle Integration by Yang Peng, Ming Zhang, Fangqiang Yu, Jinglin Xu, Shang Gao

“…Then, a DT software system with real-time visual management and artificial intelligent diagnosis modules was developed and deployed in a newly built DT control center. …”
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Political Bias in Large Language Models: A Comparative Analysis of ChatGPT-4, Perplexity, Google Gemini, and Claude by Tavishi Choudhary

“…Artificial Intelligence large language models have rapidly gained widespread adoption, sparking discussions on their societal and political impact, especially for political bias and its far-reaching consequences on society and citizens. …”
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Review on Deep Learning and Neural Network Implementation for Emotions Recognition by Renas Rajab Asaad

“…In this paper we present the design of an artificially intelligent system capable of emotion recognition trough facial expressions. …”
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Elucidating the potential of EGFR mutated NSCLC and identifying its multitargeted inhibitors by Anakha D. Rajeeve, Ramasamy Yamuna, P. K. Krishnan Namboori

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V's Virtual Afterlife by Jasmyn Connell, Christopher Moore, Reneé Middlemost

“…NHOPs encompass entities like brands, places, artificial intelligences, and, as we explore in this study, video game characters. …”
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Use of Texture Analysis on Noncontrast MRI in Classification of Early Stage of Liver Fibrosis by Ru Zhao, Xi-Jun Gong, Ya-Qiong Ge, Hong Zhao, Long-Sheng Wang, Hong-Zhen Yu, Bin Liu

“…TA parameters were extracted from out-of-phase T1-weighted (T1W), in-phase T1W, and T2-weighted (T2W) images and calculated using Artificial Intelligent Kit (AK). Features were extracted including first-order, shape, gray-level cooccurrence matrix, gray-level run-length matrix, neighboring gray one tone difference matrix, and gray-level differential matrix. …”
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