Assessing public support for commercial fishing in the ocean twilight zone considering climate trade-offs and ocean literacy by Michael J. Weir, Maya Lozinsky, Di Jin

“…While our results suggest significant social benefits to be gained from expanding OTZ fishery production, back-of-the-envelope calculations suggest that rapid development of OTZ fishing would likely induce social costs more than 10× that of any benefits experienced. …”
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SWMD-YOLO: A Lightweight Model for Tomato Detection in Greenhouse Environments by Quan Wang, Ye Hua, Qiongdan Lou, Xi Kan

“…The accurate detection of occluded tomatoes in complex greenhouse environments remains challenging due to the limited feature representation ability and high computational costs of existing models. This study proposes SWMD-YOLO, a lightweight multi-scale detection network optimized for greenhouse scenarios. …”
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A Contrastive Representation Learning Method for Event Classification in Φ-OTDR Systems by Tong Zhang, Xinjie Peng, Yifan Liu, Kaiyang Yin, Pengfei Li

“…These findings highlight the effectiveness of CLWTNet in extracting discriminative representations without relying on labeled data, thereby enhancing data efficiency and reducing the costs and effort involved in extensive data labeling in practical Φ-OTDR system applications.…”
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Spatial relations of American bison (Bison bison) and domestic cattle in a montane environment by D. H. Van Vuren

“…La vaca mostró clara orientación a pacer principalmente alrededor del agua y siguió una estrategia de obtención de sus necesidades energéticas con el mínimo coste. En contraste, el bisonte se mostró maximizador de energía, efectuando frecuentes desplazamientos en función de la disponibilidad de pastos. …”
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A DEMATEL-based analysis of logistics determinants in online retail by Nicollas Luiz Schweitzer de Souza Schweitzer, Marina Bouzon, Diego de Castro Fettermann, Enzo Morosini Frazzon

“…This may involve renegotiating contracts with shipping providers, investing in warehouse automation technology, or optimizing transportation routes to reduce costs and improve overall operational efficiency. …”
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Private Sector Hospitals' Response to Changes in Demand for Health Insurance in Arab Countries by Vivian Nasiruddin

“…# Background Health insurance (HI) plays a vital role in providing health services, as it covers relevant healthcare costs to improve health outcomes. # Objectives The study aimed to analyze the extent to which private sector hospitals respond to changes in demand for HI in 3 Arab countries between 2006 and 2022…”
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A Review and Future Prospects of Bounded Rational Behavior in Power Consumers by GAN Lei, ZHANG Peng, ZHU Lin, YANG Tianyu, CHEN Xingying, HUA Haochen, YU Kun

“…This will deepen the fundamental understanding of user energy behaviors， thereby enabling the dual achievement of enhanced system regulation capacity and reduced user energy costs under the “Dual Carbon” goals.…”
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Estimation of hydraulic conductivity using gradation information through larsen fuzzy logic hybrid wavelet artificial neural network and combined artificial intelligence models by Ramin Vafaei Poursorkhabi, Alireza Naseri, Ata Allah Nadiri, Mohammad Khalili-Maleki

“…Abstract Hydraulic conductivity is a critical parameter in geotechnical studies, though determining it with field and laboratory methods is remarkably costly and time-consuming and suffers from innate uncertainty. …”
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Improvement of agrotechnology of production of high-quality sunflower seeds by N. I. Mamsirov, K. K. Khatkov, L. N. Thakushinova

“…The largest share among the total production costs in the cultivation of sunflower falls on tillage. …”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

“…In conclusion, the developed web application assists engineers in developing reliable predictions of maintenance activities, which may save costly production and maintenance losses. • A Web application based on machine learning techniques was developed for RUL predictions for the milling cutting tool. • A comparison between the prediction results from various machine learning techniques was conducted. • The web application is found to be valuable for maintenance prediction and planning.…”
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Reorganization of the system of intra-holding settlements: Methodological tools, efficiency assessment by Yu. V. Nemtseva, A. V. Bekker

“…In the context of growth trends in the scale and diversification of business, the internal costs of companies with a complex holding structure are also increasing. …”
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The Estimation of the Remaining Useful Life of Ceramic Plates Used in Iron Ore Filtration Through a Reliability Model and Machine Learning Methods Applied to Industrial Process Var... by Robert Bento Florentino, Luiz Gustavo Lourenço Moura

“…This is achieved through the connectivity of their automation systems (PIMS and MES), enabling the optimization of the preventive maintenance interval, a reduction in corrective maintenance and safety-related failures, an increase in productivity and reliability and a reduction in maintenance costs. Through the use of the CRISP-DM data analysis methodology, the fault logs of ceramic plates applied in an iron ore filtration process are coupled with sensor readings of the process variables over the time of operation to create exponential survival models via two techniques: a multiple linear regression model with averaged data and a random forest regression machine learning model with individual instant data. …”
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Learning stream plot: classroom activity visualization with daily learning log data by Izumi Horikoshi, Yuko Toyokawa, Kohei Nakamura, Rwitajit Majumdar, Hiroaki Ogata

“…Abstract Teachers’ reflection is essential for improving classes. However, it is costly to introduce sensors into daily classroom environments, and collecting and visualizing data has always been challenging. …”
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Technological Innovation in Pencak Silat Training as a Component of Indonesian Cultural Heritage: A Systematic Literature Review by Bahtiar Hari Hardovi, Heny Setyawati, Rumini Rumin, Cahyo Yuwono, Harry Pramono, Donny Wira Yudha Kusuma, Andi Anshari Bausad

“…However, barriers such as high costs, limited accessibility, and the need for tailored solutions continue to persist. …”
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Identifying the Challenges of the Processes of Introducing and Commercializing Domestic Medical Equipment to the Market by Shahnaz Seyedi Dolatabad, Hessam Zandhessami, Hamed Afshari, Shirin Jalalinia

“…Conclusion: The research results showed that the process faces major challenges such as complexity of implementation steps, time-consuming nature, high costs, lack of transparency, and lack of coordination between regulatory agencies. …”
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Dark Surfer-A Dark Pattern Analyzer & Classifier by Babu K. Srinivas, Nithin Bangari Sai, Raghuram E., Bharath A.

“…They can manifest in various ways, such as deceptive language, misleading visuals, hidden costs, or confusing interfaces. To avoid us cases we had come up with a website, which helps in analysing the dark patterns and detect them using URLS. …”
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Calculation Method for Inflow Performance Relationship in Sucker Rod Pump Wells Based on Real-Time Monitoring Dynamometer Card by Ruichao Zhang, Yuqiong Yin, Liangfei Xiao, Dechun Chen

“…Moreover, the real-time acquisition of dynamometer cards can provide real-time data source for this method, improve the timeliness of oil well production analysis, and help to reduce the production management costs and improve the production efficiency and benefit.…”
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A Review: Charging infrastructure optimisation to support widespread adoption of electric vehicles by Michael Chuba Okika, Innocent Musonda

“…Smart charging of EVs is intended to increase EV and renewable energy penetration, reduce charging costs and improve grid infrastructure utilisation. …”
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Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases by D. Yu. Pavkin, S. S. Yurochka, A. A. Polikanova, I. M. Dovlatov

“…(Conclusions) It was found that the developed algorithm helps to quickly detect ketosis in dairy cows and automatically diagnose physiological diseases at an early stage, without additional labor and monetary costs.…”
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Determinants of Debt Financing Behavior of Unlisted Moroccan Family SMEs: A Panel Data Analysis by Zouhair Boumlik, Badia Oulhadj, Olivier Colot

“…This conservative approach appears to be driven by risk considerations related to bankruptcy costs associated with higher debt levels. Indeed, the results show that the financing behaviors of family SMEs align more closely with pecking order theory than trade-off theory. …”
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