Monte Carlo Simulation of Pesticide Toxicity for Rainbow Trout (<i>Oncorhynchus mykiss</i>) Using New Criteria of Predictive Potential by Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati

“…Considering ethical issues, the costs, and the necessary resources, the use of in silico models is often proposed. …”
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Bi-Level Energy Dispatch Optimisation for Peak Load Shaving in Microgrids with Battery Storage by Mohd Fakhizan Romlie, Abid Ali, GM Shafiullah

“…Peak load periods in electrical networks result in significant power losses, straining generation capacity, and increasing operational costs. Strategically optimising electricity supply from battery storage-based distributed generation (DG) during these peak times can mitigate these losses and enhance grid efficiency through peak load shaving (PLS). …”
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POEM: Innovador manejo endoscópico para la acalasia. Revisión sistemática e inspiración para sistemas sanitarios by Blanca Belén Guilcapi Baldeón, Bryan David Cabezas Ramos, Katherine Jeannette Chimborazo Constante, María José Barreno Sánchez

“…El POEM representa un cambio de paradigma en el manejo de la acalasia, con potencial para mejorar la calidad de vida de los pacientes y optimizar recursos sanitarios, se considera una técnica efectiva y segura, con una baja tasa de eventos adversos transoperatorios, sugiriendo futuras investigaciones en análisis coste-beneficio para mejorar su accesibilidad, consolidándolo como estándar en el manejo de la acalasia, proponiendo líneas futuras de investigación para mejorar el acceso al tratamiento. …”
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The effects of excess non-phytate phosphorus from dicalcium phosphate or phytase supplementary sources on performance in laying hens fed reduced-protein diets by Hazhir Mazhar, Sina Payvastegan, Mohsen Daneshyar, Seyed Ali Mirghelenj

“…Summary: The rapid growth of industrial egg production has intensified environmental and economic pressures, prompting the adoption of reduced crude protein (CP) diets supplemented with amino acids to lower costs and nitrogen waste. However, CP reduction may limit phosphorus availability, potentially impairing energy metabolism. …”
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Functional Tests\' Sensitivity and Specificity for Return to Sport After ACL Reconstruction: A Scoping Review by Parisa Sedaghati, Mohammad Ghafoori, Ali Parvaneh Sarand

“…Additionally, this approach can decrease therapeutic costs and facilitate a smoother rehabilitation process, ultimately enabling successful RTS. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…Traditional detection methods are challenged by low accuracy and high labor costs. This research presents the ACURS-YOLO network, an advanced cotton leaf disease detection architecture developed on the foundation of YOLOv11. …”
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Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission by Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh

“…This prediction could potentially reduce the negative health outcomes, deaths, and medical costs associated with NICU stays by detecting potential cases early on. …”
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Non-suicidal self-injury behaviours among adolescents in Beijing: protocol for an epidemiological and qualitative exploration by Jian Wang, Han Xu, Lianting Lai, Jiale Guo

“…NSSI has become an important threat to public health among teenagers globally, imposing considerable costs on individuals, families and society. It reflects poor emotional regulation and serves as an early warning sign for suicidal ideation and behaviour. …”
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Surgical Treatment of Rhegmatogenous Retinal Detachment Based on Simultaneous Vitrectomy and Cataract Phacoemulsification by A. V. Malyshev, S. A. Sai, A. S. Golovin

“…When VE and cataract surgery are performed separately, the patient is sedated or anesthetized at least twice, and possibly three times if silicone oil removal is performed separately, which generally increases the anesthesia-related risks and overall treatment costs (hospitalization, visits, medications).Conclusion. …”
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Use of Preventable Risk Integrated Model on behavioral risk factors: a scoping review and bibliometric analysis by Antonio Castillo-Paredes, Gerson Ferrari

“…In addition, the authors who research the topic, the use of keywords, the countries that have done the most research on the subject, and indexed journals were identified.DiscussionThe studies analyzed focus on recommendations proposed by non-governmental organizations and national policies of each country, while other studies focus on the areas of reduction of death, reduction of costs associated with the prevention of non-communicable diseases and other studies provide information on the creation of the model and another related to the use in other behavioral habits. …”
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Entrepreneurial Ecosystems Best Practices and Lessons amongst SMEs in BRICS Member Countries: A Systematic Literature Review by Andiswa Gcume, Tshidi Mohapeloa

“…Barlow and Panton identify regulatory compliance burdens as a primary obstacle for SMEs, leading to higher operational costs and reduced competitiveness. Similarly, the World Bank's "Doing Business" report highlights that complex tax regulations and labor laws disproportionately affect smaller enterprises, often stifling their growth potential. …”
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Contribution of 32 GWAS-identified common variants to severe obesity in European adults referred for bariatric surgery. by Reedik Mägi, Sean Manning, Ahmed Yousseif, Andrea Pucci, Ferruccio Santini, Efthimia Karra, Giorgia Querci, Caterina Pelosini, Mark I McCarthy, Cecilia M Lindgren, Rachel L Batterham

“…Given the disproportionately high health burden and healthcare costs associated with this condition, understanding the underlying aetiology, including predisposing genetic factors, is a biomedical research priority. …”
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Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs by Sayed Gomaa, Ahmed Ashraf Soliman, Mohamed Mansour, Fares Ashraf El Salamony, Khalaf G. Salem

“…Machine learning (ML) techniques present resourceful and fast-track tools, aiding in predicting oil recovery, which is time-consuming and costly to accomplish by simulation studies. In this paper, four machine learning models: artificial neural network (ANN), Random Forest (RF), K-Nearest Neighbor (K-NN), and Support Vector Machine (SVM) are applied to estimate the overall oil recovery (R) of water flooding. …”
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Distress-Based Pavement Condition Assessment Using Artificial Intelligence: A Case Study of Egyptian Roads by Mostafa M. Radwan, Sundus A. Faris, Ahmed Y. Barakat, Ahmad Mousa

“…The pavement condition index (PCI) is a commonly used performance indicator, yet PCI evaluation is costly and time-consuming. Machine and deep learning algorithms have recently been more instrumental for forecasting pavement conditions. …”
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Economic damage from smoking associated with four groups of chronic non-communicable diseases in the Russian Federation in 2016 by I. D. Sapunova, A. V. Kontsevaya, A. O. Myrzamatova, D. K. Mukaneeva, M. B. Khudyakov, P. V. Ipatov, O. M. Drapkina

“…To evaluate ED of tobacco smoking in 2016, in the Russian Federation and costs associated with tobacco use in economy, connected with morbidity and mortality from main four groups of CNCD: cardiovascular diseases (CVD), chronic obstructive pulmonary disease (COPD), type 2 diabetes (DM2) and the main ten cancer types (CT). …”
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Electrochemical Biogas Upgrading: Energy, Environmental, Economic, and Engineering Considerations by Aishwarya Rani, Suraj Negi, Yu‐Ning Chen, Cheng‐Hsiu Yu, Shu‐Yuan Pan

“…Traditional upgrading methods, such as amine scrubbing and membrane separation, are energy‐intensive, costly, and environmentally burdensome. This study explores the potential of electrochemical technologies as sustainable alternatives for biogas upgrading from the aspects of energy, environment, economics, and engineering. …”
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Patient-Centric Structural Determinants of Adherence Rates Among Asthma Populations: Exploring the Potential of Patient Activation and Encouragement Tool TRUSTR to Improve Adherenc... by Asim Zia, Arthur Brassart, Sheila Thomas, Fen Ye, Judith J. Stephenson, C. Daniel Mullins, Christopher A. Jones

“…# Background Lack of adherence with prescribed medications among the asthma populations exacerbates health outcomes and increases social and economic costs. # Objectives The proposed study aims to model patient-centric structural determinants of adherence rates among asthma patients and explore the potential of mobile health apps such as the TRUSTR platform to improve adherence using its power of monetary and non-monetary chatbotting and non-monetary nudges. …”
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Feasibility of Using New Technologies and Artificial Intelligence in Preventive Measures in Building Works by Mercedes del Río Merino, María Segarra Cañamares, Miriam Zamora Calleja, Antonio Ros Serrano, Rafael Alberto Heredia Morante

“…Main implementation barriers include a lack of digital skills (35%), insufficient budget (30%), and high tool costs (25%). Contribution: This study proposes a mixed-method methodological framework—quantitative and qualitative—adapted to national contexts and validated through a Delphi consensus process. …”
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Development of a method of continuous improvement of services using the Business Intelligence tools by Svetlana V. Kulikova, Alexander A. Kruglov

“…They include the following:– increase in the quality of requirements’ formation;– improving response to business needs;– reduce costs and negative impact on the implementation of changes;– improving the quality of information on the state of services and the improvement of various metrics; – improving the quality of work of staff;– improving the competitiveness of enterprises through continuous improvement and maintaining the service up to date.…”
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Analysis of Lightning Hazards in the Context of Formal and Technical Requirements for Facilities with Designated Explosion Hazard Zones by Jarosław Wiater

“…In practice, such action will be accepted from an economic point of view only in the event of lightning losses that exceed the costs of potential investments to reduce the risk. …”
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