scICE: enhancing clustering reliability and efficiency of scRNA-seq data with multi-cluster label consistency evaluation by Hyun Kim, Issac Park, Jong-Eun Park, Jong Kyoung Kim, Minseok Seo, Jae Kyoung Kim

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Corneal Allografts: Factors for and against Acceptance by Justyna Sakowska, Paulina Glasner, Maciej Zieliński, Piotr Trzonkowski, Leopold Glasner

“…It restores eyesight significantly improving the quality of life. Advancements in banking of explanted corneas and progressive surgical techniques increased availability and outcomes of transplantation. …”
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Implementation framework for AI deployment at scale in healthcare systems by Hassan Sami Adnan, Amitis Shidani, Lei Clifton, Clare R. Bankhead, Rafael Perera-Salazar

“…We introduce a novel implementation framework that can facilitate digital health designers, developers, patient groups, policymakers, and other stakeholders, to co-create and solve issues throughout the life cycle of designing, developing, deploying, monitoring, and maintaining algorithmic models. …”
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Integrating sensor networks to facilitate efficient energy management for smart grids by Arpita Nath Baruah, Malatesh S. Akkur, Jyoti Seth, Jaymeel Shah

“…It uses functional interfaces, robust algorithms, and continuous tracking for assessment. …”
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TEMPORALITY OF THE NARRATIVE OF CONTEMPORARY TRAVEL LITERATURE (Based on Cees Nooteboom’s work) by Olena I. Kretova, Pavlo V. Kretov

“…The article examines the temporality of narrative in the discourse of contemporary travel literature in the context of socio-cultural dynamics associated with the digitalization of life forms, socio-cultural interactions and new models of comprehension, description and representations of reality in literary texts. …”
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Source Tracing of Raw Material Components in Wood Vinegar Distillation Process Based on Machine Learning and Aspen Simulation by Siqi Liao, Wanting Sun, Haoran Zheng, Qiyang Xu

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Syndromes of hematophagocytosis in patients of pediatric intensive care units (literature review) by N. N. Abramova, K. E. Belozerov, G. V. Kondratiev, Yu. S. Aleksandrovich, M. M. Kostik

“…Nowadays, we have got a big group of drugs, which can pointwise block one or another pathogenesis pathway, but for a quick and correct choice, we need clear algorithms for deciding on the use of this group of targeted therapy. …”
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Artificial intelligence in the food industry: innovations and applications by Hang Yang, Wenxuan Jiao, Lingyun Zouyi, Hongli Diao, Shibin Xia

“…Advanced ML models are employed to analyze production data, monitor quality parameters, and predict shelf life, ensuring compliance with stringent regulatory standards. …”
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Environmental sustainability indicators applied to bioprocesses: a bibliometric analysis (2005–2024) by Anibal Alviz-Meza, Segundo Rojas-Flores, Ángel Darío González-Delgado

“…The need to incorporate quantitative, qualitative, and descriptive indicators that comprehensively capture the environmental impacts of biotechnological processes led us to compile thirty diversified indices. The relevance of life cycle analysis as a fundamental tool is highlighted and triggered by integrating multicriteria analysis methods, optimization algorithms, and artificial intelligence. …”
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CodonTransformer: a multispecies codon optimizer using context-aware neural networks by Adibvafa Fallahpour, Vincent Gureghian, Guillaume J. Filion, Ariel B. Lindner, Amir Pandi

“…Nevertheless, natural sequences optimized through evolution provide a rich source of data for machine learning algorithms to explore the underlying rules. Here, we introduce CodonTransformer, a multispecies deep learning model trained on over 1 million DNA-protein pairs from 164 organisms spanning all domains of life. …”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

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Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing AD. …”
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Lung cancer brain metastases – the role of neurosurgery by V. A. Aleshin, V. B. Karakhan, A. Kh. Bekyashev, D. M. Belov

“…Ideally, a neurosurgical operation should be carried out with clearcut observance of oncological principles of ablasty.Adequate comprehensive approach to treatment or patients with cerebral metastases of various forms of lung cancer with the developed of optimal tactics of and stages of treatment would make it possible to increase duration and quality of life of patients.…”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

“…Traditional machine learning algorithms perform quite well in general, with SVM giving a best accuracy of around 95% with academic data, while training and testing the model without academic data still gives a good performance of 93%. …”
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Smartphone sensor-based depression detection in campus environments: a proof-of-concept study with small-sample behavioral analysis by Yichen Bai, Yueze Liu, Yang Zhang, Amr Tolba

“…A customized data processing scheme tailored to campus life enabled the extraction of 18 feature sequences reflecting depressive symptoms. …”
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Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…For this reason, the proposed method is particularly useful in the following areas: marine life observation, underwater robotics, and archaeological reconnaissance. …”
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Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization by Luyu Tian, Chaoyu Dong, Rui Wang, Yunfei Mu, Hongjie Jia

“…Thermal fault diagnostics for battery packs is crucial to preventing thermal runaway from impairing the safe operation and extended cycle service life of batteries. Therefore, a lithium‐ion battery thermal fault diagnosis model based on deep learning algorithms is presented, which includes three parts: autoencoder denoising network, coarse mask generator, and mask precise adjustment. …”
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An embedded intelligence engine for driver drowsiness detection by Shirisha Vadlamudi, Ali Ahmadinia

“…Fatigue has costly effects on the safety, health, and quality of life. This drowsiness of drivers can be detected using various methods, for example, algorithms based on behavioural gestures, physiological signals and vitals. …”
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A Novel Method for Estimating State of Power of Lithium-Ion Batteries Considering Core Temperature by Ruixue Zhang, Keyi Wang, Zhilong Yu, Gang Zhao

“…This study lays a strong foundation for effective energy management and life extension of lithium batteries, particularly in high-temperature environments.…”
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Eight Conditions That Will Change Mining Work in Mining 4.0 by Joel Lööw, Jan Johansson

“…Secondly, operators and managers are shifting toward handling disturbances and training algorithms, as AI takes over decision-making processes. …”
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