Active case finding using mobile vans with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence among hi... by Xiaolin Wei, Dabin Liang, Zhitong Zhang, Kevin E Thorpe, Lingyun Zhou, Jinming Zhao, Huifang Qin, Xiaoyan Liang, Zhezhe Cui, Yan Huang, Liwen Huang, Mei Lin

“…We will conduct incremental costing study to inform future scale-up of the intervention in other settings.…”
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A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints by Kang Xu, Zhaopeng Liu, Shuaihu Li

“…Subsequently, a scheduling optimization model is formulated to minimize both the system generation costs and the comprehensive risk, where the adaptive grid density-improved multi-objective particle swarm optimization (AG-MOPSO) algorithm is employed to efficiently generate Pareto-optimal operating point solutions. …”
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Productivity of sorghum crops depending on agrotechnical methods of cultivation in the regions of the Russian Federation (review) by O. P. Kibalnik, I. G. Efremova, Yu. V. Bochkareva, A. V. Prakhov, D. S. Semin

“…A variety of soil and climatic conditions of sorghum cultivation regions differ in the temperature regime, the reserves of soil moisture before sowing, the level of soil fertility, which determines the need to select the optimal elements of technology that ensure the achievement of the highest yield of varieties per unit area with the lowest material and technological costs. The analysis of the ways of placing plants on the own area also indicates the significant role of varietal biological features in increasing the sorghum yield, the purpose of sowing, and the level of field contamination. …”
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Data measurement system for non-destructive quality testing of hard alloys by I. K. Tsybrii, I. L. Vyalikov, V. I. Ignatenko

“…It is shown that the measurement algorithm proposed and implemented in the data measurement system through comparing the characteristics of the tested and certified samples with the known coercitive force, allows the manufacturer of hard alloy products to expand the sample of inspected products up to 100%, and to significantly reduce the costs for non-destructive testing of products.…”
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Spray-Drying Microencapsulation of Natural Bioactives: Advances in Sustainable Wall Materials by Lauryna Pudžiuvelytė, Eglė Petrauskaitė, Jolita Stabrauskienė, Jurga Bernatonienė

“…The review identifies key factors that can enhance product quality, increase encapsulation yield, and reduce processing costs and energy input—offering meaningful insights for optimizing the microencapsulation process. …”
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TWO SOLUTIONS TO PROBLEMS: CONCRETE PAVEMENT DAMAGE AND REPAIR FROM THE PERSPECTIVE OF DESIGN OPTIMIZATION (BIM MODELING) AND MODIFIED CONCRETE MATERIALS by Maria Serhiivna Barabash, Shao Meiyu

“…The proposed modeling methodology helps to optimize the design to ensure structural stability and safety, and the in-depth knowledge of soil conditions helps to plan the construction phases more accurately, which helps to control costs and reduce delays. The response results of concrete modified with basalt fibers can be used in practical projects to enhance pavement strength. …”
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Screening of Acetic Acid Bacteria from Pineapple Waste for Bacterial Cellulose Production using Sago Liquid Waste by Nur Arfa Yanti, Sitti Wirdhana Ahmad, Sri Ambardini, Nurhayani Haji Muhiddin, La Ode Iman Sulaiman

“…</span><span lang="EN-GB">The potential application of BC is limited by its production costs, because BC is produced from expensive culture media. …”
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Wine growers’ propensity to adopt digital precision farming technologies: integrating risk attitudes to the Technology Acceptance Model by Adriano Biondo, Giuseppina Rizzo, Giuseppina Migliore, Antonino Galati

“…Additional barriers include high costs, lack of training and compatibility with traditional practices. …”
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Delayed diagnosis of POEMS syndrome, how AI tools can enhance diagnostic accuracy by Max Jin, Sowbharnika Arivazhagan, Prerna Mewawalla, Santhosh Sadashiv, Arjun Lakshman

“…Prompt VEGF testing, investigation with artificial intelligence tools, and inclusion of POEMS syndrome in the differential can reduce unnecessary consultations and healthcare costs, while enabling timely therapy.…”
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A Deep Learning-Based Diagnostic Framework for Shaft Earthing Brush Faults in Large Turbine Generators by Katudi Oupa Mailula, Akshay Kumar Saha

“…This work enables the early detection of brush degradation, thereby reducing unplanned downtime and maintenance costs in power generation facilities.…”
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American struggle for global leadership and the strategic options of Serbia by Lišanin Mladen

“…Such behavior, as well as the conditions of increased complexity of foreign policy determinants from the system and regional levels, have consistently incentivized Serbia to opt for the strategy of hedging, in order to compensate the costs incurred in some areas by gains in others. …”
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Application of Ensemble Kalman Filter With Covariance Localization in Data Assimilation of Radiation Belt Electrons by Yuan Lei, Xing Cao, Binbin Ni, Taorong Luo, Xiaoyu Wang

“…Furthermore, EnKF with covariance localization enables usage of fewer ensemble members to achieve reanalysis results that closely approximate the “truth,” thereby significantly reducing computational costs. Finally, using the localized EnKF with 15 ensemble members, in combination with measurements from Van Allen Probes and GOES satellites, we reconstruct the spatial and temporal evolution of radiation belt electrons in March 2013 as an illustrative purpose. …”
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GhostConv+CA-YOLOv8n: a lightweight network for rice pest detection based on the aggregation of low-level features in real-world complex backgrounds by Fei Li, Yang Lu, Qiang Ma, Shuxin Yin, Rui Zhao

“…Existing approaches suffer from two critical limitations: (1) inadequate feature representation under occlusion and scale variations, and (2) excessive computational costs for edge deployment. To overcome these limitations, this paper introduces GhostConv+CA-YOLOv8n, a lightweight object detection framework was proposed, which incorporates several innovative features: GhostConv replaces standard convolutional operations with computationally efficient ghost modules in the YOLOv8n’s backbone structure, reducing parameters by 40,458 while maintaining feature richness; a Context Aggregation (CA) module is applied after the large and medium-sized feature maps were output by the YOLOv8n’s neck structure. …”
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Wind energy resource assessment based on joint wolf pack intelligent optimization algorithm. by Jiayuan Wang

“…Wind energy is a clean and renewable energy source with great potential for development, but the intermittent and stochastic characteristics of wind speed have brought great challenges to the effective development and utilisation of wind energy resources, resulting in high development costs. Therefore, how to accurately assess the wind energy resources and effectively predict the wind speed has become a key issue to be solved in the current wind energy field. …”
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Degradation of anti-wear additives and tribological properties of engine oils at extended oil change intervals in city buses by Wojciech Gołębiowski, Rafał Krakowski, Grzegorz Zając

“…The research results provide important information for bus fleet operators, allowing more precise determination of engine oil change intervals, which translates into extended engine life and reduced operating costs.…”
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Leveraging building permit data for large-scale embodied carbon assessment of residential building construction by Santiago Zuluaga, Shoshanna Saxe

“…Through a hybrid approach that combines regional input–output models and reported construction costs, we estimate embodied emissions for newly built residential dwellings and dwellings added through renovations of existing buildings. …”
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Results of experimental studies of a mobile energy vehicles in a transport unit with an elastic damping mechanism by Senkevich S.Ye., Godzhaev Z.A., Sergeev N.V., Ilchenko Ye.N., Alekseyev I.S.

“…Improving the operational efficiency of mobile energy vehicles is one of the main factors contributing to increased productivity while significantly reducing non-productive energy costs. Of no small importance are developments that are associated with the improvement of the design of transmissions of wheeled agricultural mobile energy vehicles, for which an indispensable condition is to increase labor productivity in agricultural production. …”
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Research on Early Diagnosis Methods for Broiler Chicken Diseases Based on Swarm Intelligence Optimization Algorithms and Random Forest by X Peng, C Chen, L Yu, X Kong, B Sun

“…This study introduces a novel methodology for broiler disease diagnosis and prediction, substantially improving accuracy and efficiency while maintaining low computational costs. The proposed framework can be seamlessly integrated into IoT-based broiler health monitoring platforms, offering valuable theoretical foundations and technical support for disease detection and prevention in poultry farming.…”
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Introducing the Ordinal Turnover Intention Scale (OTIS): A cross-sectional validation in Italian employees and foundation for longitudinal research by Debora BERTOLINI, Francesco MARCATTO

“…Introduction: Employee turnover represents a critical challenge for organizations, impacting productivity, costs, and workplace stability. Traditional measures of turnover intention typically assess its intensity but fail to capture its dynamic and multi-stage nature. …”
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World practice of providing scientific advice on the development and authorisation of innovative medicines by E. V. Melnikova, O. V. Merkulova, V. A. Merkulov

“…However, the inability to accurately predict the efficacy and financial rewards of such medicines for pharmaceutical companies, as well as significant labour and financial costs associated with their development and clinical use, hinder their entry into the market. …”
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