Raising Awareness of Acute Kidney Injury: Unfolding the Truth by Aida Lydia

“…Considering the substantial impacts of AKI in ICU patients, early implementation of preventive measures should be an essential program which consists of developing AKI risk stratification in the ICU and encouraging the use of novel AKI biomarkers (TIMP-2, IGFBP-7, Cystatin C, IL-18,  KIM-1 and NGAL) as well as other risk stratification tools (clinical risk prediction scores, computer algorithms, furosemide stress test). …”
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High-throughput image-based monitoring of cell aggregation and microspheroid formation. by Thomas Deckers, Toon Lambrechts, Stefano Viazzi, Gabriella Nilsson Hall, Ioannis Papantoniou, Veerle Bloemen, Jean-Marie Aerts

“…Studies on monolayer cultures and whole-animal models for the prediction of the response of native human tissue are associated with limitations. …”
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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

“…Results show that the best identified model has a goodness of fit of 98.66 % and 90.42 % for both outputs, final prediction error of 4.11e-15 and mean square error of 0.0005660. …”
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Evaluation on nature-connected environment in building embedded landscape: theory, detection, and case design by Shu Zhong, Jiao Ren

“…Principal component analysis was used for verification, and the GBT algorithm surpassed MLR in regression performance. …”
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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

“…Advancements in deep learning enable sophisticated algorithms to learn from vast data sets, driving innovation and efficiency in power systems. …”
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Development of a semantic map for an unmanned vehicle using a simultaneous localisation and mapping method by O. A. Rodionov, B. Rasheed

“…Introduction: The field of unmanned technologies is rapidly developing and a lot of research is being conducted on the practical application of artificial intelligence algorithms to solve complex problems on the road. The difficulties in the perception of the surrounding world by the machine led to the appearance of special High definition maps. …”
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Method of calculation of thermal loss energy in double and triple glass packaging by A.S. Kudussov, I.A. Kudussova, O.B. Seldyugaev, M.A. Burkov, A.S. Abdurakhimova

“… The paper presents a method of calculating the heat energy loss from the room through double and triple glazing. In this article algorithms of calculation of losses of energy through the processes of conduction, convection and radiation heat transfer. …”
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User scheduling and power allocation strategy for cell-free networks based on federated learning by WANG Huahua, HUANG Yexia, LI Ling

“…Simulation results demonstrate that compared to other comparison algorithms, the proposed algorithm achieves a 47.19% increase in downlink throughput, a 22.60% increase in uplink throughput, and a 57.33% reduction in FL task time consumption, while minimizing time overhead for achieving the same model accuracy…”
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A Beam Search Framework for Quantum Circuit Mapping by Cheng Qiu, Pengcheng Zhu, Lihua Wei

“…The optimization problem of quantum circuit mapping has NP-hard computational complexity, and existing heuristic mapping algorithms still have significant potential for optimization in terms of the number of quantum gates generated. …”
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Designing a Thermoacoustic Cooler for Energy Applications: Experimental Insights by Leszek Remiorz, Krzysztof Grzywnowicz, Eryk Remiorz, Wojciech Uchman

“…Accurate and informative measurements during operation are crucial for developing effective control algorithms and optimizing performance under specific conditions. …”
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Pipkin type III fractures: a narrative review of literature and comparative opinion on ORIF vs. arthroplasty by Sujan Shakya, Qing Zhang, Yi Wen, Xinag Wen, Long Cheng

“…The treatment modality with open reduction and internal fixation (ORIF) or total hip arthroplasty (THA) varies according to the severity of the fracture, patient age, time to surgery, and intraoperative findings. …”
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Progress in the Application of Chemometrics in the Field of Food Flavor by ZHANG Qian, HAN Haoying, MENG Fanyu, WANG Yadong, WANG Bei, JIANG Tao

“…Therefore, it is crucial to use new chemometrics methods, such as artificial intelligence algorithms, correctly and reasonably to obtain effective information in this field. …”
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Microservice Workflow Scheduling with a Resource Configuration Model Under Deadline and Reliability Constraints by Wenzheng Li, Xiaoping Li, Long Chen, Mingjing Wang

“…Experiments on four scientific workflow datasets show that the proposed approach achieves an average cost reduction of 44.59% compared to existing reliability scheduling algorithms, with improvements of 26.63% in the worst case and 73.72% in the best case.…”
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Modified generative adversarial network and Pseudo- Zernike matrix features extraction for human-computer interactive gesture recognition by Jing Yu, Lu Zhao

“…In order to improve the current situation that the existing gesture recognition algorithms need a lot of training data, this paper proposes a modified generative adversarial network (GAN) and Pseudo-Zernike matrix features extraction method to solve the problems of low recognition accuracy and complex recognition process. …”
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FROM SEEING TO BELIEVING: A 43-YEAR LONG JOURNEY IN IMMUNOSTAINING

“…The application of MILAN and the complexity of data obtained (~100 markers, millions of single cells) landed us in the rarefied world of dimensionality reduction algorithms, where math rules and statistical significance replaces “representative images”. …”
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LX-mixers for QAOA: Optimal mixers restricted to subspaces and the stabilizer formalism by Franz G. Fuchs, Ruben Pariente Bassa

“…The numerical examples provided show a dramatic reduction of CX gates when compared to previous results. …”
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Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning by André Luiz Carvalho Ottoni

“…The results show that the application of metalearning generates a reduction in computational cost in hyperparameter optimization. …”
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Minimizing the Makespan for a Two-Stage Three-Machine Assembly Flow Shop Problem with the Sum-of-Processing-Time Based Learning Effect by Win-Chin Lin

“…A cloud theory-based simulated annealing (CSA) algorithm and an iterated greedy (IG) algorithm with four different local search methods are used to find near-optimal solutions for small and large number of jobs. …”
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Multi‐Model Ensembles for Upper Atmosphere Models by S. Elvidge, S. R. Granados, M. J. Angling, M. K. Brown, D. R. Themens, A. G. Wood

“…Abstract Multi‐model ensembles (MMEs) are used to improve the forecasts of thermospheric neutral densities. A variety of algorithms for constructing the model weights for the MMEs are described and have been implemented including: performance weighting, independence weighting, and non‐negative least squares. …”
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Geometric Distribution Weight Information Modeled Using Radial Basis Function with Fractional Order for Linear Discriminant Analysis Method by Wen-Sheng Chen, Chu Zhang, Shengyong Chen

“…Compared with some LDA-based algorithms, experimental results exhibit that our GLDA approach gives superior performance.…”
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