Engineering of novel DNA polymerase variants for single enzyme quantitative multiplex reverse transcription-PCR by Luisa B. Huber, Virginie Marchand, Melike Somtürk, Silke Müller, Andreas Marx

“…Thus, discovery marks a significant advancement of current RT-PCR approaches and contributes simplifying and reducing costs in molecular diagnostics.…”
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Toward Automatic Dataset Discovery From Scientific Publications by Sandeep Kumar, Tirthankar Ghosal, Asif Ekbal

“…Building good datasets is costly in terms of time, money, and human effort. …”
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Validation of a virtual forward simulation tool for ADAS assessment by Michelangelo-Santo Gulino, Giulio Vichi, Dario Vangi

“…The impact simulation algorithms implemented in the validated VFS tool provide an effective trade-off between high accuracy typical of finite element analysis and low computational costs typical of momentum-based models.…”
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Soot formation and effect on engine oils by S. V. Pashukevich

“…The conducted research can be the basis for the development of recommendations for improving the maintenance of internal combustion engines for enterprises that have cars with diesel engines at their disposal in order to increase the resource of power units and reduce operating costs.…”
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Strategy of Opening MyRepublic Wi-Fi Provider Area In Purwakarta District Using Moora Method by Meriska Defriani, Mochzen Gito Resmi, Syariful Alam, Dede Irmayanti

“…Data were obtained through observation and interviews, with criteria including the number of houses, resident responses, competitors, administrative costs, and distance to the Optical Line Terminal (OLT). …”
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Generic and Specific Skills as Components of Human Capital: New Challenges for Education Theory and Practice by Yaroslav Kuzminov, Pavel Sorokin, Isak Froumin

“…Despite the quantitative growth of money and time spent on education, performance per unit of education costs has fallen. The human potential, created by education, is facing more and more difficulties in its capitalization: economic growth is slowing down at both at the country level and globally. …”
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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Meanwhile, QRNN reduces computational costs through parallelization of operations and an optimized architecture. …”
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Landmarking for Improved Digital Product Creation by Emma Scott, Katherine Schildmeyer, Gerald Ruderman, Susan Ashdown, Carolyn McDonald, Simeon Gill

“…Virtual environments allow sampling without the costs associated with physical prototyping However, current practice often still requires physical prototyping. …”
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Exploring a Bicarbonate-based Carbon Capture Approach Applicability to Industrially Relevant Marine Microalgae by Danilo Marchese, Alessandro Rosengart, Elena Barbera, Eleonora Sforza

“…However, their industrial massive production is currently limited by high cultivation costs. CO2 insufflation and management as well as mixing and cooling operations require an important energetic investment, decreasing the overall profitability of the process. …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…In response to the serious imbalance in the data collected by ESP, firstly, a fault diagnosis model is established using a weighted extreme learning machine; Then, to solve the problems of insufficient algorithm learning, high computational costs caused by weighted strategies, and poor performance in applying to high-dimensional feature spaces, the Laplacian eigenmaps method is introduced to further optimize the model; finally, the effectiveness of the proposed method was validated on the TE chemical process dataset, and the practicality of the algorithm was experimentally validated on the real-time fault dataset of electric submersible pump. …”
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Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis by Rahul Sheshanarayana, Fengqi You

“…Abstract Knowledge distillation (KD) is a powerful model compression technique that transfers knowledge from complex teacher models to compact student models, reducing computational costs while preserving predictive accuracy. This study investigated KD's efficacy in molecular property prediction across domain‐specific and cross‐domain tasks, leveraging state‐of‐the‐art graph neural networks (SchNet, DimeNet++, and TensorNet). …”
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Maximum Energy Absorbed from the Persian Gulf Waves Considering Uncertainty in Power Take off Parameters by Mohammad Jalali, Reihaneh Kardehi Moghaddam, Naser Pariz

“…Moreover, there is a need for resources with no air pollution besides providing a part of the country's power demand without costly infrastructure, so this research field is highly interesting although has rarely been addressed so far. …”
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The impact of automation of operational processes and its role in raising the competitiveness of the Aden Container Terminal by Aref Hasan Abdullah Al-Shabi, Osama Fawzy Ahmed Elbayoumi

“…Consequently, many countries have developed their maritime capabilities using ICT, which has increased trade volume, reduced overall costs, and reduced port arrival time for ships. Since its emergence, container transportation has become vital in the field of logistics and global trade, as it contributes significantly to improving the efficiency of supply chains by simplifying shipping and tracking processes using modern technology, and effectively enhances local and international trade exchange.…”
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Revisiting the impacts of green purchasing practices on environmental and economic performances: A case study for the Marmara region of Türkiye by Ali Ibrahim Balin, Billur Engin Balin

“…Notably, EP partially mediates the relationship between GPPs and ECP, demonstrating that environmental improvements can offset initial costs and enhance financial outcomes. These findings provide a robust framework for addressing challenges in transitioning to GPPs in developing economies.…”
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Building rooftop extraction from high resolution aerial images using multiscale global perceptron with spatial context refinement by Qinglie Yuan

“…Automatic building detection and extraction algorithms using high spatial resolution aerial images can provide precise location and geometry information, significantly reducing time, costs, and labor. Recently, deep learning algorithms, especially convolution neural networks (CNNs) and Transformer, have robust local or global feature extraction ability, achieving advanced performance in intelligent interpretation compared with conventional methods. …”
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The application and the development of the graphene in water treatment by Qin Weihao

“…As the result shows, graphene has various applications and preparations in water treatment, despite there are some challenges and issues, such as the sustainable performance, stability and the control of the costs.…”
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Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

“…The memory usage test findings denoted that the average memory usage of the research model was less than 46%, which was better than the control model.DiscussionThe research promotes innovation and optimization of mechanical fault diagnosis technology, improves the accuracy and timeliness of fault diagnosis analysis models, and is of great significance for ensuring production safety, reducing maintenance costs, and improving enterprise economic benefits.…”
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All you need to know about sarcopenia: a short guide for an internal medicine physician in questions and answers by G. R. Bikbavova, M. A. Livzan, D. V. Tikhonravova

“…The presence of sarcopenia increases both the risk of hospitalization and hospitalization costs.The aim of the literature review is to provide an analysis of up-to-date information on the causes, pathogenesis, screening, diagnosis, treatment, and consequences of sarcopenia, myosteatosis, and sarcopenic obesity. …”
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Implementation of innovation policy based on the mechanism of public procurement by E. P. Malevich, E. A. Kirillova

“…A significant potential for speed growth and possibility of minimising costs in their implementation lies in the field of obtaining effects from integration of scientific research, industrial production, and government support. …”
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Enhanced manganese ion removal from aqueous solution using graphene oxide nanocollector in ion flotation: mechanism, efficiency, and recyclability by Arash Sobouti, Bahram Rezai, Fatemeh Sadat Hoseinian

“…This increased adsorption efficiency while lowering costs. The adsorption mechanism is explained by electrostatic attraction, surface complexation, and ion exchange, which facilitate the binding of Mn ions to the GO surface. …”
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