Cross-species stability of reference genes in medicinal plants Arnica montana and Arnica chamissonis by Magdalena Sozoniuk, Karolina Czapla, Danuta Sugier, Krzysztof Kowalczyk

“…Characterization of biosynthetic pathways and their complex regulatory mechanisms may be enhanced via transcriptomic approach. To ensure the reliability of data, RT-qPCR based gene expression studies should be preceded by the reference genes selection step. …”
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Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigm by Mingming Xiao, Chen Hong, Kaiquan Cai

“…Abstract Safety and efficiency are two classical conflicting objectives in the air traffic system: an increase in efficiency may come at the cost of increasing density of aircraft in the space, which increases collision risk and controllers’ workload. …”
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Construction and Comprehensive Prognostic Analysis of a Novel Immune-Related lncRNA Signature and Immune Landscape in Gastric Cancer by Xiaolong Liang, Lang Zha, Gangfeng Yu, Xiong Guo, Chuan Qin, Anqi Cheng, Ziwei Wang

“…In conclusion, our risk model may provide insights into the prognosis of and immunotherapy strategy for GC.…”
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Developing a Non-Invasive Intelligent System for Blood Glucose Level Estimation Using Reflective Optical Sensors by Mihaela MARIN, Teodora Alexandra DOBRIN, Florin Bogdan MARIN

“…Advantages include affordability, ease of use, and adaptability, which are integral to encouraging patient compliance and improving health outcomes. Future developments may incorporate advanced optical sensors such as NIR spectroscopy or Raman technologies, alongside machine learning algorithms, to improve accuracy and extend functionality. …”
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Role of Bioinformatics in Agriculture by M. N. V. Prasad Gajula, Anuj Kumar, E. A. Siddiq, A. K. Polumetla

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Low Voltage Ride-Through Improvement of a Grid-Connected PV Power System Using a Machine Learning Control System by Altan Gencer

“…This problem can cause PV systems to become difficult to operate during periods of low voltage and may disconnect PV systems from electrical grids. …”
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An EEMD-Based Denoising Method for Seismic Signal of High Arch Dam Combining Wavelet with Singular Spectrum Analysis by Bo Li, Lixin Zhang, Qiling Zhang, Shengmei Yang

“…The traditional denoising method may have filtered effective seismic signals of high arch dams. …”
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Lancsbox software options for the prospective investigation of the multilingual corpus for European studies by О. Ю. Андрушенко

“…The investigation describes the algorithms of implementing linguistic research as part of the project taught during the course “Multilingual Corpus and its Resources for European Studies (KNLU)” (Erasmus+ Program). …”
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The Peculiarity of Process and Treatment of Arterial Hypertension in Patients with Type 2 Diabetes Mellitus by T. Yu. Demidova, O. A. Kislyak

“…There is ample evidence that blood pressure control in diabetic patients may be critical for improving long-term prognosis. …”
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RRMSE-enhanced weighted voting regressor for improved ensemble regression. by Shikun Chen, Wenlong Zheng

“…This uniform weighting approach doesn't consider that some models may perform better than others on different datasets, leaving room for improvement in optimizing ensemble performance. …”
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Approaches for Localizing the Origin of PVCs in the Outflow Tract: Future Perspectives and Challenges by Baiping Sui, Yingjie Ji, Ying Wang, Ling Gao, Minghao Li

“…However, the accuracy of this method may be limited by factors including the patient’s body habitus, cardiac rotation, and specific conduction characteristics. …”
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Geospatial modeling of snow avalanches on the Šar Mountains, Balkan Peninsula by Durlević Uroš

“…Based on the law of friction and other software algorithms, avalanche modeling was performed from the starting zone through the movement zone to the accumulation zone. …”
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On the generalisation capabilities of Fisher vector‐based face presentation attack detection by Lázaro J. González‐Soler, Marta Gomez‐Barrero, Christoph Busch

“…In contrast, for more realistic scenarios, existing algorithms face difficulties in detecting unknown PAI species which are only included in the test set. …”
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Aspects of intensive therapy of diabetic ketoacidosis in pediatric practice (literature review) by Yu. V. Bykov, А. А. Muravyeva

“…Diabetic ketoacidosis (DKA) is an acute and severe complication of type 1 diabetes mellitus that is associated with a high risk of cerebral edema (CE)and may result in death. DKA is characterized by acute hyperglycemia, ketonemia and metabolic acidosis in the setting of decreased levels of insulin and excessive levels of the counter regulatory hormones. …”
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Explainable Graph Spectral Clustering of text documents. by Bartłomiej Starosta, Mieczysław A Kłopotek, Sławomir T Wierzchoń, Dariusz Czerski, Marcin Sydow, Piotr Borkowski

“…However, the results of such algorithms, when applied e.g. to text documents, are hard to explain to the user, especially due to embedding in the spectral space which has no obvious relation to document contents. …”
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Machine Learning-Based Approach for HIV/AIDS Prediction: Feature Selection and Data Balancing Strategy by Abdul Mizwar A Rahim, Ahmad Ridwan, Bambang Pilu Hartato, Firman Asharudin

“…Nine machine learning algorithms, including Decision Tree, Random Forest, XGBoost, LightGBM, Gradient Boosting, Support Vector Machine, AdaBoost, and Logistic Regression, are tested for classification. …”
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GLAD: Global–Local Approach; Disentanglement Learning for Financial Market Prediction by Humam M. Abdulsahib, Foad Ghaderi

“…., regression or SVR, or end-to-end training approaches, coined as deep learning algorithms, have restraints as a consequence of capturing noisy and unnecessary data. …”
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Efficacy of Off-Label Use of Anticancer Drugs in Oncology by E. V. Karabina, D. D. Sakaeva, O. N. Lipatov

“…The paradigm shift toward molecularly targeted therapy and immunotherapy in various malignancies may increase the off-label use of the specified agents. …”
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The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors by Yixin Wang, Zongtao Hu, Hongzhi Wang

“…However, radiomic analyses often function as a ‘black box’ due to their use of complex algorithms, which hinders the translation of brain tumor radiomics into clinical applications. …”
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An Autonomous Vehicle Behavior Decision Method Based on Deep Reinforcement Learning with Hybrid State Space and Driving Risk by Xu Wang, Bo Qian, Junchao Zhuo, Weiqun Liu

“…Firstly, based on the various behaviors that may be taken by autonomous vehicles during high-speed driving, a calculation method for autonomous vehicle driving risk is proposed. …”
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