The value of neuraminidase inhibitors for the prevention and treatment of seasonal influenza: a systematic review of systematic reviews. by Barbara Michiels, Karolien Van Puyenbroeck, Veronique Verhoeven, Etienne Vermeire, Samuel Coenen

“…The combination of diagnostic uncertainty, the risk for virus strain resistance, possible side effects and financial cost outweigh the small benefits of oseltamivir or zanamivir for the prophylaxis and treatment of healthy individuals. …”
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Home Cardiotocography in High-Risk Pregnancies: A Retrospective Study on Feasibility and Patient Well-Being by Małgorzata Olesiak-Andryszczak, Jakub Pytlos, Anna Suchecka-Marut, Małgorzata Świdzińska, Marzena Mazurek

“…Our findings underline the importance of technological integration in prenatal care, advocating for a shift toward more patient-centered, accessible, and potentially cost-effective health care solutions.…”
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Protocol for differentiating murine 3T3-L1 and SVF-derived preadipocytes and isolating crude mitochondrial fractions by Churaibhon Wisessaowapak, Jeongmin Lee, Hyeonhui Kim, Seunghwan Son, Xue Feng, Lina Chang, Annie Hoang, Hetty Chen, Sarah Bedsted, Alan R. Saltiel

“…Summary: Here, we present a protocol for differentiating 3T3-L1 preadipocytes and stromal vascular fraction (SVF)-derived preadipocytes from mice into mature adipocytes, followed by the isolation of crude mitochondrial fractions. This cost-effective and reproducible protocol is optimized for small-plate formats, compatible with standard reagents, and suitable for metabolic studies such as insulin resistance and mitochondrial function. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Exploration of stacking effects of carbon/glass fabric in polymer hybrid composites: analysis of mechanical properties by Kaushlendra Kumar, Yadvendra Kumar Mishra, Jogendra Kumar, Vaibhav R. Pannase, Amol B. Dhumne, Vijay L. Bhambere, Gopal R. Bhad, Prasanjeet H. Bhagat, Rashtrapal B. Teltumade, Anirudh M. Shende

“…Fabricating different configurations of hybrid laminates using cost-effective hand layup techniques and their performance evaluation through uniaxial tensile test and flexural strength has yielded fascinating results. …”
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LRA-UNet: A Lightweight Residual Attention Network for SAR Marine Oil Spill Detection by Yu Cai, Jingjing Su, Jun Song, Dekai Xu, Liankang Zhang, Gaoyuan Shen

“…Our model integrates depthwise separable convolutions to reduce feature redundancy and computational cost, while adopting a residual encoder enhanced with the Simple Attention Module (SimAM) to improve the precise extraction of target features. …”
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DEALER: Distributed Clustering with Local Direction Centrality and Density Measure by Xuze Liu, Ziqi Zhao, Yuhai Zhao

“…Further, we propose a distributed clustering technique empowered by <i>z</i>-value filtering, which significantly reduces the cost of <i>k</i>-nearest neighbor computations in the direction centrality metric, lowering the time complexity from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><msup><mrow><mi>n</mi></mrow><mn>2</mn></msup><mo>)</mo></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>n</mi><mo form="prefix">log</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>. …”
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A Projection Strategy for Improving the Preconditioner in the LOBPCG by Ma Tailai, Sun Shuli, Zheng Fangyi, Chen Pu

“…This oblique projection technique can find a more accurate approximate solution which minimizes the 2-norm residuals in the search subspace without significantly increasing computational cost, thereby improving the quality of the preconditioner, thus accelerating convergence of the LOBPCG.Numerical experiments show that the projection strategy can improve the LOBPCG algorithm significantly in terms of efficiency and stability.…”
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Analyzing Relationships Between Success Factors of Project Management in Global Software Development by Ansar Siddique, Noorulhasan Naveed Quadri, Naim Ahmad, Hashim Elshafie

“…This rise is driven by the advantages of low-cost development, access to expert resources, proximity to markets and clients, as well as options for innovation and the exchange of best practices. …”
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Development of a barcode-based inventory system for AMT laboratory tools at PhilSCA, Philippines by Danielle Jane Elec, Mark Louie Martin, Maria Jessica Martin

“…Participants strongly agreed on the system being accurate, technologically advanced, and cost-effective. Implementing the system can enhance borrower tool keeper accountability,  and improve transaction convenience and efficiency. …”
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Effect of watermelon seed urease induced calcium carbonate precipitation (WSICP) on collapsible loess improvement based on unconfined compression and direct shear tests by Shuo Tu, Liping Zhu, Yuan Qin, Zhicheng Wang, Yating Zhu, Mingdong Li

“…Overall, WSICP technique offers a cost-effective, eco-friendly, and efficient way to ameliorate collapsible loess while also offering experimental and theoretical support for related engineering practice.…”
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Research Progress on Doping Modification of Ternary Cathode Materials for Nickel⁃Rich Lithium Ion Batteries by Tao WEN, Xiaocheng LI, Jipeng FAN, Yikun DENG, Jing ZOU, Haitao WANG

“…ion batteries due to its low cost,high energy density and long service life.Although the high nickel content leads to a significant increase in the specific capacity and energy density of NCM,the increase in nickel content leads to poor cycling and thermal stability,which severely limits its practical application.Doping modification is an effective strategy to improve the structural stability and electrochemical performance of NCM.In this review,the common doping preparation methods of NCM are first described in detail.Subsequently,the effects of various doped elements on the lithium storage,rate performance and cycling performance of NCM were systematically analyzed.Finally,the development and future challenges of NCM are prospected,which is expected to provide an important reference for the application of NCM.…”
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Kneeliverse: A universal knee-detection library for performance curves by Mário Antunes, Tyler Estro, Pranav Bhandari, Anshul Gandhi, Geoff Kuenning, Yifei Liu, Carl Waldspurger, Avani Wildani, Erez Zadok

“…These points represent optimal trade-offs between cost and performance, facilitating efficient decision-making and resource allocation. …”
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Terahertz ribbon waveguide for sensing electrolyte concentration in phosphate-buffered saline solution by Ja-Yu Lu, Pin-Jung Lu, Borwen You

“…The sensing performance significantly surpasses that of other THz sensing technologies. The simple and cost-effective PRW-based sensing approach enables efficient detection of trace analytes over a short interaction length, which is the critical feature to be well-suited for various biochemical sensing applications.…”
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Isolation and Screening of Polyhydroxyalkanoates Producing Bacteria from Pulp, Paper, and Cardboard Industry Wastes by Anish Kumari Bhuwal, Gulab Singh, Neeraj Kumar Aggarwal, Varsha Goyal, Anita Yadav

“…In the present study, we aim to utilize pulp, paper, and cardboard industry sludge and waste water for the isolation and screening of polyhydroxyalkanoates (PHAs) accumulating bacteria and production of cost-effective PHB using cardboard industry waste water. …”
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Assessing irrigation system efficiency within the Water-Energy-Food Nexus: Introducing energy performance metrics by Adil K. Salman, Isam Kh. Alhadeethi, Ahmed M. Mohammed, Magdalena Sut-Lohmann

“…By integrating energy consumption assessment into irrigation evaluations, the proposed EPMI offer practical solutions for technical monitoring, cost analysis, and sustainability assessment. This approach addresses challenges such as water scarcity, energy consumption, and environmental degradation, contributing to the resilience and sustainability of agricultural systems within the WEFN framework. …”
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MoTiF: a self-supervised model for multi-source forecasting with application to tropical cyclones by Clément Dauvilliers, Claire Monteleoni

“…The model is based on the Vision Transformer, but separately embeds the values and coordinates and uses the embedded coordinates as relative positional embedding in the computation of the attention. To limit the cost of computing the attention between many sources, we employ a multi-source factorized attention mechanism, introducing an anchor-points-based cross-source attention block. …”
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Innovations in the field of urban public transport and prospects of implementing new mobility principles by M. I. Malyshev

“…It was noted that the modern concept of the transport Mobility-as-a-Service (MaaS) is characterized by such elements as safety, comfort, time, information and cost. The description of the elements, including operational, transport and environmental safety, accessibility and quality of the transport process, was given. …”
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Estimation of the Internal Temperature of High-Capacity Li-Ion Cells Using Embedded Impedancemetry by Charles Bechara, Guy Friedrich, Christophe Forgez, Samuel Cregut

“…However, measuring the temperature of each cell within a battery pack is costly and typically only provides access to the external temperature of the elements. …”
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Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

“…For complex convection patterns, the cost function tends not to decrease well, likely indicating that the method is successful when the time reversal is much smaller than the mixing time scale, over which information about the initial particle arrangement is lost. …”
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SAGE-NET—Reconceiving Edge Intelligence Using Attention-Based Deep Learning Framework for Effective Classification of Electrocardiogram (ECG) in WSN-IoT Environment by P. Vinoth Kumar, C. N. Marimuthu

“…Studies indicate that the proposed model—relied on edge-enabled WSN devices—achieved better computational cost and classification outcomes (99% accuracy) compared to state-of-the-art learning methods and was 23% less costly than other learning methods.…”
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