Acylation Modification of Antheraea pernyi Silk Fibroin Using Succinic Anhydride and Its Effects on Enzymatic Degradation Behavior by Xiufang Li, Ceng Zhang, Lingshuang Wang, Caili Ma, Weichao Yang, Mingzhong Li

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Unlocking Sustainable Growth: The Role of Artificial Intelligence Adoption in Jordan Retail Sector, Moderated by Entrepreneurial Orientation by Nancy Al-Ramahi, Fuad M. Kreishan, Zahid Hussain, Arman Khan, Mahmoud Alghizzawi, Belal Mahmoud AlWadi

“… Although businesses are under pressure to consistently improve both their capacities and business processes, the artificial intelligence (AI) revolution is seen as an appealing company approach that has attracted attention. …”
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Response of Dry Bean to Sulfentrazone Plus Imazethapyr by Nader Soltani, Christy Shropshire, Peter H. Sikkema

“…Field studies were conducted in 2010 and 2011 at the Huron Research Station, Exeter, Ontario and from 2009 to 2011 at the University of Guelph Ridgetown Campus, Ridgetown, Ontario to evaluate the sensitivity of four market classes of dry bean to sulfentrazone applied preemergence at 105, 140, and 280 g ai/ha alone and in combination with imazethapyr at 37.5 g ai/ha. …”
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Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages by Sally Almanasra, Khaled Suwais

“…Our research focuses on the intersection of artificial intelligence (AI) and software development, particularly the role of AI models in automating code generation. …”
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Adrenal Insufficiency in Coronavirus Disease 2019 (COVID-19)-Infected Patients without Preexisting Adrenal Diseases: A Systematic Literature Review by Mehrbod Vakhshoori, Maryam Heidarpour, Niloofar Bondariyan, Niyousha Sadeghpour, Zohreh Mousavi

“…However, the assessment of adrenal insufficiency (AI) in this pandemic is lacking. In this review, we aimed to evaluate the status of AI among COVID-19-infected individuals. …”
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Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System by Michael Petry, Charlotte Lansky, Yosef Chodakiewitz, Marcel Maya, Barry Pressman

“…Three separate control groups were defined as follows: (i) all remaining patients that underwent the designated imaging studies, (ii) patients diagnosed with hip fractures, and (iii) all hospital wide encounters, during the study period. Pre-AI and post-AI time periods were defined around the deployment dates of the ICH and PE modules, respectively. …”
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Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan by Min Hee Cha, Jae Hyeon Park, Ji Sun Byun, Sangyeon Ahn, Gyoomin Lee, Seung Hyun Yoon, Sung In Cho

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The Use of Artificial Intelligence and Wearable Inertial Measurement Units in Medicine: Systematic Review by Ricardo Smits Serena, Florian Hinterwimmer, Rainer Burgkart, Rudiger von Eisenhart-Rothe, Daniel Rueckert

“… BackgroundArtificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. …”
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Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study by Paulina Smoła, Iwona Młoźniak, Monika Wojcieszko, Urszula Zwierczyk, Mateusz Kobryn, Elżbieta Rzepecka, Mariusz Duplaga

“…BackgroundThe growth of the use of artificial intelligence (AI) and robotic solutions in healthcare is accompanied by high expectations for improved efficiency and quality of services. …”
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Determinants of fertility in timed artificial insemination programs in beef cattle: predictive ability and risk factors from almost 2 million data points by R.E.F. Assis, F. Baldi, L.B. Temp, R. Ungerfeld, M.F. de Sá Filho

“…The female extrinsic factors that most affected P/AI were the breeding season and the climatic region. …”
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Attitudes of radiologists and interns toward the adoption of GPT-like technologies: a National Survey Study in China by Tianyi Xia, Shijun Zhang, Ben Zhao, Ying Lei, Zebin Xiao, Bingwei Chen, Junhao Zha, Yaoyao Yu, Zhijun Wu, Chunqiang Lu, Tianyu Tang, Yang Song, Yuancheng Wang, Shenghong Ju

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A Review of Traffic Congestion Prediction Using Artificial Intelligence by Mahmuda Akhtar, Sara Moridpour

“…In recent years, traffic congestion prediction has led to a growing research area, especially of machine learning of artificial intelligence (AI). With the introduction of big data by stationary sensors or probe vehicle data and the development of new AI models in the last few decades, this research area has expanded extensively. …”
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Ethical Reflections on the Application of Artificial Intelligence in the Construction of Smart Cities by Bingjie Wang

“…With the increasing reliance and demand for artificial intelligence in the construction of smart cities, AI has been embedded in various applications and infrastructures. …”
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Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models by Geemi P. Wellawatte, Philippe Schwaller

“…Abstract Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address the opaque nature of machine learning models. …”
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Artificial Intelligence vs. Traditional Research Methods: An Empirical Study from Northern Croatia by Katerina Fotova Čiković, Antonija Mandić, Maja Hoić

“…Due to the emergence and increased development of Artificial Intelligence (AI), research in general has been significantly impacted, particularly in the field of scientific theories and models. …”
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Insurance with telematics as an insurance market driver: regulation and prospects by A. V. Romanova, S. Yu. Shchukin, S. V. Chelokidi, N. E. Spirina

“…The purpose of the study is to substantiate the need and develop measures to regulate the use of AI in insurance, in general, and auto insurance, in particular, as well as to determine the prospects and risks of the spread of the use of AI technologies in insurance. …”
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Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…Recent advancements in nanotechnology and artificial intelligence (AI) have opened new frontiers in the fight against this disease. …”
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Performance of Different Herbicides in Dry-Seeded Rice in Bangladesh by Sharif Ahmed, Bhagirath Singh Chauhan

“…A field study was conducted in the boro season of 2011-12 and aman season of 2012 at Jessore, Bangladesh, to evaluate the performance of sequential applications of preemergence herbicides (oxadiargyl 80 g ai ha−1, pendimethalin 850 g ai ha−1, acetachlor + bensulfuranmethyl 240 g ai ha−1, and pyrazosulfuron 15 g ai ha−1) followed by a postemergence herbicide (ethoxysulfuron 18 g ai ha−1) in dry-seeded rice. …”
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Artificial intelligence-enabled discovery of a RIPK3 inhibitor with neuroprotective effects in an acute glaucoma mouse model by Xing Tu, Zixing Zou, Jiahui Li, Simiao Zeng, Zhengchao Luo, Gen Li, Yuanxu Gao, Kang Zhang, Jing Ni

“…Notably, artificial intelligence (AI) technologies have significantly advanced drug discovery. …”
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…IntroductionRecent developments in Artificial Intelligence (AI) and Machine Learning (ML) technologies have opened new avenues for their applications in dietary assessments. …”
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