Assessing species composition and insecticide resistance of Anopheles gambiae complex members in three coastal health districts of Côte d'Ivoire. by Jackson K I Kouamé, Constant V A Edi, Julien B Z Zahouli, Ruth M A Kouamé, Yves A K Kacou, Firmain N Yokoly, Constant G N Gbalegba, David Malone, Benjamin G Koudou

“…Clothianidin induced full susceptibility in Jacqueville and San Pedro, while chlorfenapyr induced susceptibility in Aboisso at 100 μg ai/bottle and all three districts at 200 μg ai/bottle. kdr 995F mutation dominated, with frequencies varying from 71.2% to 79.3%. kdr 995S had low, rates with frequencies ranging from 2.3% to 5.7%. …”
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A Huge Innovation in Diagnosis of Obstructive Sleep Apnea Syndrome: With an Artificial Intelligence-Based Algorithm, Obstructive Sleep Apnea Syndrome Can Now Be Diagnosed With Pulm... by Seval Bulut Eris, Mehmet Recep Bozkurt, Omer Eris, Cahit Bilgin

“…For the first time, features were extracted from flow-volume curves obtained using a Pulmonary Function Test (PFT), and an Artificial Intelligence (AI)-based algorithm was developed to diagnose OSAS. …”
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From Voxels to Viruses: Using Deep Learning and Crowdsourcing to Understand a Virus Factory by Avery Pennington, Oliver N. F. King, Win Min Tun, Mark Boyce, Geoff Sutton, David I. Stuart, Mark Basham, Michele C. Darrow

“…This approach aligns with the growing interest in citizen science initiatives that combine the collective intelligence of volunteers with AI to tackle complex problems while involving the public with research that is being undertaken in these important areas of science.…”
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Skin Lesion Classification Through Test Time Augmentation and Explainable Artificial Intelligence by Loris Cino, Cosimo Distante, Alessandro Martella, Pier Luigi Mazzeo

“…Despite significant advancements in the automatic classification of skin lesions using artificial intelligence (AI) algorithms, skepticism among physicians persists. …”
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Unraveling ankylosing spondylitis: Exploring the genetic and immunological factors and latest treatment innovations by Nilasree Hazra, Sudeshna Sengupta, Dipannita Burman, Jyoti Sekhar Banerjee, Malavika Bhattacharya

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Role of artificial intelligence in imaging and endoscopy for the diagnosis, monitoring and prognostication of inflammatory bowel disease: a scoping review protocol by Mallory Chavannes, Bram Verstockt, Mariangela Allocca, David T Rubin, Kerri Novak, Lynn Kysh, Noa Krugliak Cleveland, Michael Todd Dolinger, Tom S Robbins, Shintaro Sagami

“…Therefore, we propose a scoping review assessing AI’s role in diagnosis, monitoring and prognostication tools in patients with IBD. …”
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Enhancing patient education on the role of tibial osteotomy in the management of knee osteoarthritis using a customized ChatGPT: a readability and quality assessment by Stephen Fahy, Stephan Oehme, Danko Dan Milinkovic, Benjamin Bartek

“…“The Knee Guide” demonstrated the potential of customized AI tools in enhancing patient education by making complex medical information more accessible and understandable.…”
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Bibliometric Analysis on ChatGPT Research with CiteSpace by Dongyan Nan, Xiangying Zhao, Chaomei Chen, Seungjong Sun, Kyeo Re Lee, Jang Hyun Kim

“…ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. …”
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Phenotypic and Genotypic Antibiotic Resistance of Staphylococcus warneri and Staphylococcus pasteuri Isolated from Stuffed Mussels by Nermin Berik, Dilek Kahraman Yılmaz

“…In S. warneri isolates, at least three resistance genes (BlaTEM, tetB-6, tetK-8) and up to eight resistance genes (BlaTEM, tetB-6, tetK-8, strA-strB, aphAI-IAB, ermC) were identified. All S. pasteuri isolates exhibited blaTEM, strA-strB, and aphAI-IAB resistance genes. …”
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Customization of an efficient and cost-effective optical biosensor for trace cadmium detection in milk samples by Varsha S. Pawar, Shivaji D. Pawar, Harish Mudila, Arif D. Sheikh, Ajeet Kaushik, Anil Kumar

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A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities by José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, José Tuxpan Vargas, José Alfredo Ramos Leal, Janete Morán Ramírez

“…This systematic review provides a state-of-art of Artificial Intelligence (AI) models such as Machine Learning (ML) and Deep Learning (DL) development and its applications in Mexico in diverse fields. …”
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The protein circPETH-147aa regulates metabolic reprogramming in hepatocellular carcinoma cells to remodel immunosuppressive microenvironment by Tian Lan, Fengwei Gao, Yunshi Cai, Yinghao Lv, Jiang Zhu, Hu Liu, Sinan Xie, Haifeng Wan, Haorong He, Kunlin Xie, Chang Liu, Hong Wu

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Beyond the Flow, from Tape to Digital: Insights from Mediaset's Archives by Emiliano Rossi

“…The paper highlights the implementation of AI and automation in managing digital resources, and the unique model adopted by Mediaset for content retention. …”
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Key technology of data center network for cloud network convergence by Jianglong WANG, Bo LEI, Yunpeng XIE, Qi HE, Yunhe LI

“…“New infrastructure” brings new opportunities for the development of data centers.Data center has become an important part of the operator’s cloud-network convergence infrastructure,providing a strong technical foundation for innovative applications in the 5G + AI era.The new requirements of the data center network in the cloud network convergence background were analyzed.The key technologies in ultra-large-scale networking,ultra-low latency lossless network,and unified service end-to-end bearer were given.Finally,a large-scale cloud data center networking solution were presented,and the key technologies were verified.…”
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Istituzioni e società tra Flanona e Tarsatica (I sec. a.C.-III sec. d.C.) by Mattia Vitelli Casella

“…Un’attenzione particolare è riservata alla romanizzazione della componente indigena e ai rapporti con Aquileia e l’Istria occidentale, a partire dalla documentazione epigrafica.…”
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Author Correction: LLM-driven multimodal target volume contouring in radiation oncology by Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Yeona Cho, Ik Jae Lee, Jin Sung Kim, Jong Chul Ye

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Stability of generalized additive Cauchy equations by Soon-Mo Jung, Ki-Suk Lee

“…Applying this result we will investigate the Hyers-Ulam-Rassias stability problem of the generalized additive Cauchy equation f(a1x1+⋯+amxm+x0)=∑i=1mbif(ai1x1+⋯+aimxm) in connection with the question of Rassias and Tabor.…”
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Research on architecture of novel programmable networks for 6G by Xuliang WANG, Shuo QUAN, Zengyi LIU, Jun ZHANG

“…Starting from the industry’s various business scenarios for 6G networks, and the dynamic network capability adjustment requirements for 6G network equipment were deeply analyzed.A programmable network platform architecture with the characteristics of closed-loop self-optimization based on network state management was proposed.Through this architecture design, the existing technology systems related to SDN, NFV, and network AI can be maximized and network administrators can perform network lifecycle management based on network status statements.This platform can provide a new technical realization idea and method for the digital twin network and on-demand network in the future.…”
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Smart home service perception degradation positioning scheme based on the network resource tree and information entropy by Meng MING, Yu SHI, Runhan ZHENG, Yunxi FENG

“…With the accelerating pace of development of the science and technology and informatization, the smart home market is developing rapidly.It brings great convenience to people’s lives, also brings new operation and maintenance tests to operators.A scheme based on big data and AI algorithm, combined with the network resource tree and information entropy was proposed for perceptual real-time monitoring of smart home services, delimiting, segmenting and locating perceptual degradation class faults, aiming to solve the problems of more end-to-end links of smart home services and difficulties in manual location of group faults and single user faults.…”
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Octreotide in the treatment of neuroendocrine carcinomas: Is the success achieved? by L. Yu. Morgunov

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