Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

“…This study forecasted the cost of heavy machinery depending on geolocation and essential characteristics by the field of activity. …”
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Rapid and sensitive melamine detection via paper-based surface-enhanced Raman scattering substrate: Plasma-assisted in situ growth of closely packed gold nanoparticles on cellulose... by Ba-Thong Trinh, Rashida Akter, Hanjun Cho, Oleksii Omelianovych, Kwanghyeon Jo, Hongki Kim, Taejoon Kang, Huu-Quang Nguyen, Jaebeom Lee, Kwanyong Seo, Ho-Suk Choi, Ilsun Yoon

“…The AuNP–cellulose paper, cost-effective and permitting low-ppb-level label-free molecular sensing, can be a feasible SERS sensor for environmental and biomedical applications.…”
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ENHANCING OPERATIONAL EFFICIENCY IN COAL ENTERPRISES THROUGH CAPACITY LAYOUT OPTIMISATION: A COST-EFFECTIVENESS ANALYSIS by D. A. Pervukhin, Lisha Tang

“…Thus, these developments suggest that advance modelling techniques open avenues for using coal industry business processes to design improvements that promote cost-effective improvement in efficiency through employee-centric modifications. …”
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Advanced optical receiver architectures for ultra-high capacity but low-cost short-reach optical interconnects by Honglin JI, Xueyang LI, Zhixue HE, Weisheng HU, Shieh William

“…The deployment of emerging network infrastructure such as hyper-scale datacenters urgently requires ultra-high capacity but low-cost short-reach optical interconnects.Conventional intensity modulation and direct detection possesses a simple receiver structure but can only recover the intensity information, which restrains the capability of further scaling up the system capacity.Standard coherent detection can deliver high-order modulation formats and achieve high-capacity transmission.Nevertheless, the coherent transceiver requiring expensive narrow-linewidth laser sources and computation-intensive digital signal processing precludes its wide applications in short-reach systems.The advanced direct-detection optical receivers aim to combine the advantages of both direct detection and coherent detection and bridge the gap between them.Therefore, the advanced optical receivers are mainly based on self-coherent detection.Advanced single-polarization, dual-polarization, and few-mode optical receiver architectures wereintroduced.The proposed advanced optical receivers can retrieve the optical field via direct detection without using the narrow-linewidth lasers, which enables the realization of ultra-high capability but low-cost short-reach optical interconnects.…”
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Design and Empirical Validation of a Low-Cost Outdoor mmWave Altimetry Test Bench for UAS by Mohammad Derawi, Maaz Ali Awan, Adem Sahin, Yaser Dalveren, Ibrahim Ozdur, Ali Kara

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Cost breakdown indicates that biochar production from microalgae in Central Europe requires innovative cultivation procedures by Josef Marousek, Beata Gavurova, Anna Marouskova

“…Nevertheless, a significant gap exists in the literature, as most assertions conducted outside tropical and subtropical regions lack substantiation through comprehensive analyses on a comparison of the economic benefits and the costs associated with the application of algae biochar is mostly missing. …”
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Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…The framework employs both algorithms, which are independently assessed for their effectiveness in tackling the Linear Repetitive Project Time-Cost Trade-off (LRPTCT) problem. The methodology utilizes task decomposition alongside the Line of Balance (LOB) scheduling technique, facilitating a more detailed and adaptable planning process. …”
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Integrating Machine Learning into Additive Manufacturing of Metallic Biomaterials: A Comprehensive Review by Shangyan Zhao, Yixuan Shi, Chengcong Huang, Xuan Li, Yuchen Lu, Yuzhi Wu, Yageng Li, Luning Wang

“…This review explores the application of ML in AM of metallic biomaterials, focusing on four key areas: (1) component design, where ML guides the optimization of multi-component alloys for improved mechanical and biological properties; (2) structural design, enabling the creation of intricate porous architectures tailored to specific functional requirements; (3) process control, facilitating real-time monitoring and adjustment of manufacturing parameters; and (4) parameter optimization, which reduces costs and enhances production efficiency. …”
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Theoretical Principles of Organizing Control over the Process of Purchasing by O. Yu. Kirillova, A. Ya. Geller

“…The gap between managing and managed systems in the process of purchase makes the key contradiction, which requires control over purchase realization by the customer. …”
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Community paramedicine—cost–benefit analysis and safety with paramedical emergency services in rural areas: scoping review protocol by Hege Selnes Haugdahl, Marianne Lysne, Odd Eirik Elden, Oddvar Uleberg

“…We aimed to examine the current knowledge and possibly identify gaps in the research/knowledge base for cost–benefit analysis and safety concerning community paramedicine in rural areas using a scoping review methodology.Methods and analysis This scoping review will follow the methodology developed by Arksey and O’Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. …”
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Integrating sustainability and least cost path analysis with a relative sustainability scoring index for optimal road planning by Ahmed K. Samy, Emad S. Bakhoum, Yasmeen A. S. Essawy, Khaled A. Hamdy

“…The methods employed include the simple additive weight method, informed by expert input through fuzzy logic, and the application of Least Cost Path Analysis in QGIS to generate a suggested route. …”
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Optimizing WEDM Parameters Using Swarm Intelligence: A Multi‐Objective Approach to Improve Machinability and Cost‐Efficiency by Abhijit Bhowmik, Raman Kumar, Nikunj Rachchh, T. Ramachandran, A. Karthikeyan, Rahul Singh, Deepak Gupta, Dhirendra Nath Thatoi, Bhavik Jain, A. Johnson Santhosh

“…By filling a critical research gap in the machining of Inconel 800, this work offers valuable insights into optimizing WEDM processes for superalloys. …”
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The holistic view in forecasting: A conceptual framework to analyze and mitigate cost underestimation arising from optimism bias by Giuseppe Sassano

“…This research delves into the interplay between support and prospect theories, aiming to elucidate the underpinnings of biases in decision-making processes. By juxtaposing these theories within the broader framework of project management, I present an innovative conceptual model that seeks to bridge the gap between the so-called internal and external views in forecasting. …”
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Should annual cost of the drug inform reimbursement decisions? A perspective from China’s healthcare security system by Xiaochen Peng, Xiaochen Peng, Haiyin Wang, Hui Sun, Xiaoxiao Qin, Zhe Huang

“…While China has integrated the annual cost of the drug (ACD) as a key economic factor considered in decision-making, implicitly establishing a price ceiling for medical insurance coverage. …”
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Community paramedicine: cost–benefit analysis and safety evaluation in paramedical emergency services in rural areas – a scoping review by Hege Selnes Haugdahl, Marianne Lysne, Odd Eirik Elden, Oddvar Uleberg

“…Objective To examine the current knowledge and possibly identify gaps in the knowledge base for cost–benefit analysis and safety concerning community paramedicine in rural areas.Design Scoping review.Data sources MEDLINE via PubMed, CINAHL, Cochrane and Embase up to December 2020.Study selection All English studies involving community paramedicine in rural areas, which include cost–benefit analysis or safety evaluation.Data extraction This scoping review follows the methodology developed by Arksey and O’Malley and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. …”
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Benchmarking large language models for biomedical natural language processing applications and recommendations by Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B. Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, Vipina K. Keloth, Kalpana Raja, Jimin Huang, Huan He, Fongci Lin, Jingcheng Du, Rui Zhang, W. Jim Zheng, Ron A. Adelman, Zhiyong Lu, Hua Xu

“…Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their effectiveness in BioNLP tasks remains unclear due to limited benchmarks and practical guidelines. …”
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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

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Processing Fresh-Cut Potatoes Using Non-Thermal Technologies and Edible Coatings by Christina Drosou, Ioannis Sklirakis, Ekaterini Polyzou, Iakovos Yakoumis, Christos J. Boukouvalas, Magdalini Krokida

“…This review examines the effectiveness of emerging non-thermal technologies, such as osmotic dehydration (OD), high-pressure processing (HPP), pulsed electric field (PEF), and ohmic heating (OH), in processing fresh-cut potatoes. …”
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An Intelligent Natural Language Processing (NLP) Workflow for Automated Smart Building Design by Ebere Donatus Okonta, Francis Ogochukwu Okeke, Emeka Ebuz Mgbemena, Rosemary Chidimma Nnaemeka-Okeke, Shuang Guo, Foluso Charles Awe, Chinedu Eke

“…The automation of smart building design processes remains a significant challenge, particularly in translating complex natural language requirements into structured design parameters within Computer-Aided Design (CAD) environments. …”
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Prospective Assessment of Life Cycle, Quality, and Cost for Electric Product Improvement: Supporting Prototyping and Conceptualization by Employing CQ-LCA by Dominika Siwiec, Andrzej Pacana

“…Energy conversion products such as electric motorcycles require special attention due to their impact on energy efficiency, environmental emissions, and operating and production costs. The research gap refers to the lack of a model to aggregate these aspects simultaneously. …”
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