Optimization of total flavonoid content of ethanolic extract of Persicaria pulchra (Bl.) Soják for the inhibition of α-glucosidase enzyme by N. H.N. Do, T. M. Le, C. D.P. Nguyen, A. C. Ha

“…This rapid increase is accompanied by alarming costs of treatment. α-Glucosidase inhibitors are one of the most effective drugs employed for the reduction of postprandial hyperglycemia to manage Type 2 diabetes mellitus. …”
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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…Abstract Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs among patients with traumatic brain injury. …”
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Intermittent sodium zirconium cyclosilicate for the prevention of hyperkalemia in chronic kidney disease by Jack Kit-Chung Ng, Winston Wing-Shing Fung, Gordon Chun-Kau Chan, Kai-Ming Chow, Cheuk-Chun Szeto

“…Abstract Background Hyperkalemia is a common complication of chronic kidney disease (CKD) that often requires urgent dialysis and increases healthcare costs. Daily sodium zirconium cyclosilicate (SZC) is a safe and effective treatment for the control of serum potassium levels in CKD patients. …”
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Future Perspectives for Antiangiogenic Therapy in Retinal Diseases by M. V. Budzinskaya, A. A. Plyukhova

“…We hope that the appearance of these drugs on the market will make it possible to reduce the injection load on the patient and optimize their material costs.…”
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Laboratory testing on cracking characteristics and improvement mechanism of coral mud by Huaqiang Fang, Xuanming Ding, Yifu Li, Hong Wang, Junyu Ren

“…Due to the remoteness of island reefs from the mainland, the scarcity of building materials, and the high transportation costs, it is imperative to use local marine resources, and the potential value and status of coral mud on island reefs, which is formed by the remains of corals and other biological entities, is becoming increasingly prominent. …”
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CCDR: Combining Channel-Wise Convolutional Local Perception, Detachable Self-Attention, and a Residual Feedforward Network for PolSAR Image Classification by Jianlong Wang, Bingjie Zhang, Zhaozhao Xu, Haifeng Sima, Junding Sun

“…Furthermore, the proposed method has lower computational costs than comparative methods.…”
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Development of scientific and methodological approaches to improve the efficiency of quarry transport operation by A. N. Novikov, I. A. Novikov, N. A. Zagorodnij, A. S. Semykina

“…To manage the transportation process at GOK, it is required to use improved methods and methods for optimizing transport flows to reduce costs in the system “quarry-warehouse / processing plantproduction”, taking into account the dynamics of processes. …”
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Global Trends and Empirical Metrics in the Evaluation of Code Smells and Technical Debt: A Bibliometric Study by Ronald Henry Diaz Arrieta, Byron Leoncio Diaz Monroy, Luis Javier Castillo Heredia, Alexandra Gabriela Valenzuela Cobos

“…Among the critical factors that affect these attributes are code smells, indicators of structural deficiencies in the source code, which, although they do not directly affect functionality, significantly increase technical debt and maintenance costs. This study presents a comprehensive bibliometric analysis of the scientific literature published between 2020 and 2024, with the objective of identifying the main trends, authors, sources, metrics and mitigation techniques associated with code smells and their relationship with technical debt. …”
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Virtual phantom methodology for assessment of MRI distortion correction in high-precision stereotactic radiosurgery treatment planning by Tristan Belloeil-Marrane, Adrian Gutierrez, Marlies Boussaer, Cristina Teixeira, Thierry Gevaert, Mark De Ridder

“…This virtual phantom methodology primarily aims to provide a simple/robust evaluation metric in radiotherapy for MR distortion correction solutions, providing an additional/complement QA procedure to dedicated hardware phantoms, comparatively costly in time and resources. This approach is also designed to assist with an easily implementable secondary QA for validation during commissioning of distortion correction software, focusing on this feature, to better isolate and identify sources of geometric errors resulting from MR distortions.…”
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Parameter Sensitivity Analysis and Irrigation Regime Optimization for Jujube Trees in Arid Regions Using the WOFOST Model by Shihao Sun, Yingjie Ma, Pengrui Ai, Ming Hong, Zhenghu Ma

“…In this regard, the use of crop models can compensate for time-consuming and costly field trials to screen for better irrigation regimes, but their predictive accuracy is often compromised by parameter uncertainty. …”
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MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network by Zhanwei Hou, Yijun Li, Haixia Zhai, Junwei Luo, Yulian Ding, Yi Pan

“…Abstract Background Drug development is a time-consuming and costly endeavor, and utilizing computer-aided methods to predict drug-target affinity (DTA) can significantly accelerate this process. …”
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Fatores motivadores da adoção de práticas ambientais em empresas paulistas processadoras de madeira The motivating factors which led to the adoption of environmental practices by t... by Júlio Samuel Sávio Bernardo, João Alberto Camarotto

“…It was concluded that the major motivating factors for the adoption of environmental practices were: legislation, market regulation, and factors related to business competitiveness, such as the improvement of the environmental image and the possibility of costs reduction.…”
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Using modern clustering techniques for parametric fault diagnostics of turbofan engines by I. J. Buraimah

“…Timely and accurate detection of faults is the foundation on which maintenance turnaround times, operational costs and flight safety are based. The data used in this paper for analysis was obtained from flight data recorder during one flight cycle. …”
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Epidemiological characteristics of papillomavirus infection of anogenital localization in Tatarstan republic by S. T. Agliullina, Zh. G. Eremeeva, I. K. Minullin, A. Ya. Naumova, F. N. Sabaeva, I. M. Fazulzyanova

“…The data obtained from the results of a retrospective analysis of the incidence of anogenital warts indicate the need to introduce routine vaccination against HPV infection, which will prevent large treatment costs, and will have a positive impact on public health indicators.…”
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Estimated density of Borrelia burgdorferi sensu stricto-infected Ixodes scapularis nymphs in the eastern United States by Karen M. Holcomb, Erik Foster, Sarah E. Maes, Christina M. Parise, Lynn M. Osikowicz, Andrias Hojgaard, Rebecca J. Eisen

“…DIN combines estimates of nymphal infection prevalence with estimates of densities of host-seeking nymphs, making it a costly metric to obtain through tick surveillance. …”
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Optimization of Bus Dispatching in Public Transportation Through a Heuristic Approach Based on Passenger Demand Forecasting by Javier Esteban Barrera Hernandez, Luis Enrique Tarazona Torres, Alejandra Tabares, David Álvarez-Martínez

“…It maintains high service levels—above 90% demand coverage on demanding corridors—and robust bus utilization, without incurring excessive operating costs. 3. It reduces computation times by up to 98% compared to the optimization model, making it practically viable for daily scheduling where solving large-scale models exactly can be prohibitively time-consuming. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…To address these inefficiencies, this paper introduces a novel multi-task learning framework designed to enhance the utilization of data features from diverse information sources, thereby reducing training time, lowering costs, and improving recognition accuracy. The proposed model, VIOS-Net, integrates the advantages of both visible and infrared data sources to meet the challenges of all-weather, all-day ship monitoring under complex environmental conditions. …”
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Global road extraction using a pseudo-label guided framework: from benchmark dataset to cross-region semi-supervised learning by Xiaoyan Lu, Yanfei Zhong, Zhuo Zheng, JunJue Wang, Dingyuan Chen, Yu Su

“…However, current road extraction methods face the following limitations: 1) Insufficient availability of accurate and diverse training datasets for global-scale road extraction; 2) Costly and time-consuming manual labeling of millions of road samples; and 3) Limited generalization ability of deep learning models across diverse global contexts, resulting in better performance for regions well-represented in the training dataset, but worse performance when faced with domain gaps. …”
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Health is wealth and documents are the currency: exploring the role of NGOs in facilitating healthcare access for undocumented migrants in the Netherlands – a qualitative study by Irsa R. M. Hanssen, Mara A. Yerkes

“…To facilitate lasting change, NGOs should focus more on educational and advocacy roles and collaborate to reduce costs and enhance effectiveness. This strategic shift is essential for creating sustainable, inclusive health care solutions that ensure UMs are integrated into the regular healthcare system, thereby upholding the principles of equity and justice.…”
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Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning by Amin Abdollahi Dehkordi, Mehdi Neshat, Alireza Khosravian, Menasha Thilakaratne, Ali Safaa Sadiq, Seyedali Mirjalili

“…Additionally, optimising the hyperparameters of deep CNNs, although critical for enhancing model performance, is challenging due to the high computational costs involved, making it difficult without access to high-performance computing resources. …”
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