Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages by Izzet Turkalp Akbasli, Ahmet Ziya Birbilen, Ozlem Teksam

“…However, the challenge of processing and accurately labeling vast amounts of unstructured data remains a critical bottleneck, necessitating efficient and reliable solutions. This study investigates the ability of domain specific, fine-tuned large language models (LLMs) to classify unstructured EHR texts with typographical errors through named entity recognition tasks, aiming to improve the efficiency and reliability of supervised learning AI models in healthcare. …”
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Recent plant-synthesized gold nanoparticle advancements for gastric cancer therapy by Marco A. Rojas-Cessa

“…Although in vivo developments for PAuNPs against gastric cancer are limited, studies have indicated PAuNPs’ ability to cause angiogenesis inhibition and tumor size reduction. …”
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CADM1/TSLC1 Identifies HTLV-1-Infected Cells and Determines Their Susceptibility to CTL-Mediated Lysis. by Kiruthika Manivannan, Aileen G Rowan, Yuetsu Tanaka, Graham P Taylor, Charles R M Bangham

“…Upregulation of the CADM1 ligand CRTAM on CD8+ T cells correlated with efficient lysis of infected cells. Tax-CADM1+ cells were lysed at a very low rate by autologous CTLs, however, were efficiently killed when loaded with exogenous peptide antigen. …”
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Multiplier leadership optimization algorithm (MLOA): unconstrained global optimization approach for melanoma classification by Sukanta Ghosh, Amar Singh, Shakti Kumar

“…Multiplier leaders possess the unique ability to amplify their teams’ collective intelligence and capabilities. …”
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Large language models in the management of chronic ocular diseases: a scoping review by Jiatong Zhang, Xiaoxi Song, Bocheng Tian, Mingke Tian, Zhichang Zhang, Jing Wang, Ting Fan

“…Large language models are expected to evolve from an assisted decision-making tool to a core component of precision medicine for chronic ocular diseases, and ultimately to achieve an ecosystem of energy-efficient full-cycle management of chronic ocular diseases.…”
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Predictive control of musculotendon loads across fast and slow-twitch muscles in a simulated system with parallel actuation by Mahdi Nabipour, Gregory S. Sawicki, Massimo Sartori

“…This control framework employs a computationally efficient model comprising a modified Hill-type MTU contraction dynamics component and a model of the ankle joint with parallel actuation. …”
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Identification of Novel Bioactive Compound Derived from Rheum officinalis against Campylobacter jejuni NCTC11168 by Mohammed Yosri, Basma H. Amin, Nermine N. Abed, Amal S. Elithy, Sayed M. Kareem, Nagwa M. Sidkey

“…A special feature of higher plants is their ability to produce a great number of organic chemicals of high structural diversity, the so-called secondary metabolites. …”
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Phase engineering of H/T-Nb2O5 homojunction for enhanced lithium-ion storage by Sheng Li, Jun Li, Wenjie Zhang, Sherif A. El‐Khodary, Yubo Luo, Dickon H.L. Ng, Xiaoshui Peng, Jiabiao Lian

“…Phase engineering has gained significant attention in energy-storage applications due to its ability to tailor the physicochemical properties and functionalities of electrode materials. …”
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Prioritizing urban trees for carbon sequestration in South Korea: a multi-criteria approach by Hee-Sun Choi, Gil Sang Lee, Geunhan Kim

“…We considered not only the inherent carbon storage abilities of trees, but also their ability to adapt and grow in urban conditions. …”
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Enhancing Air Quality Forecasting Using Machine Learning Techniques by Zeinab Shahbazi, Zahra Shahbazi, Slawomir Nowaczyk

“…Finding a balance between efficient urban living and environmental stewardship is a pressing concern for cities worldwide. …”
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Synchronization in Fractional-Order Delayed Non-Autonomous Neural Networks by Dingping Wu, Changyou Wang, Tao Jiang

“…Fractional-order dynamics, characterized by their ability to capture memory effects and non-local interactions, introduce additional layers of complexity to the synchronization problem. …”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…The framework’s ability to proactively adapt to evolving access patterns while maintaining computational efficiency makes it particularly suitable for large-scale machine learning and scientific computing environments where data placement critically impacts overall system performance.…”
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DBF‐Net: A Deep Bidirectional Fusion Network for 6D Object Pose Estimation with Sparse Linear Transformer by Xuan Fan, Tao An, Hongbo Gao, Tao Xie, Lijun Zhao, Ruifeng Li

“…A deep bidirectional fusion network is developed, DBF‐Net, achieving efficient yet accurate 6D object pose estimation. Specifically, a sparse linear Transformer (SLT) with linear computation complexity is introduced to effectively leverage cross‐modal semantic resemblance during the feature extraction stage, such that it fully models semantic associations between various modalities and efficiently aggregates the globally enhanced features of each modality. …”
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Comparative Analysis of Different Graphite Concentrations in Micro-PMEDM Drilling by Chiara Ravasio, Giuseppe Pellegrini, Giuseppe Rosace, Valentina Trovato

“…Micro-electrical discharge machining is valuable in industry thanks to its ability to realise precise micro-holes with high aspect ratios. …”
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Lightweight design of polymeric thin-walled components: Latticization and elastic–plastic homogenization by L. Romanelli, C. Santus, I. Senegaglia, F. Tamburrino, M. Controzzi, A. Corrado, M. Perini, D. Kumar, R. De Biasi, M. Benedetti

“…This framework accounts for direction-dependent hardening, enabling efficient prediction of lattice behaviour under complex loading scenarios. …”
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MILP Modeling and Optimization of Multi-Objective Three-Stage Flexible Job Shop Scheduling Problem With Assembly and AGV Transportation by Shiming Yang, Leilei Meng, Saif Ullah, Biao Zhang, Hongyan Sang, Peng Duan

“…FJSP-T-A is NP-hard, and an efficient multi-population co-evolutionary algorithm (MPCEA) is proposed to efficiently solve large-scale instances. …”
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ANALISIS PENGARUH RASIO KEUANGAN TERHADAP RETURN ON ASSET BANK PERKREDITAN RAKYAT PADA PT. BPR POLIN JAYA by Dedi Mulyadi, Alexander Din

“…The more efficient or small bank operating costs, the profit gained greater 5. …”
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Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

“…However, these documents often contain redundant and irrelevant features, leading to high-dimensional datasets that reduce SA performance. Efficient sentiment feature selection (FS) is crucial for reducing data dimensionality and isolating relevant features to improve results. …”
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Study on wettability of water stemming for blasting dust adjusted by surfactants and inorganic salts by Fengjie Chen, Zejun Zhou, Ying Liang, Xiaowen Liu, Xiaoguang Wang, Pu Wang, Bolei Chen, Yong Liang, Yawei Wang

“…Water stemming is an efficient method of removing blasting dust by wetting. …”
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A Capacitive Liquid-Phase Sensor and Its Sensing Mechanism Using Nanoporous Anodic Aluminum Oxide by Chin-An Ku, Geng-Fu Li, Chen-Kuei Chung

“…These results align with the trend in the dielectric constants and demonstrate the ability to clearly distinguish between different substances. …”
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