Diagnostic accuracy of artificial intelligence models in detecting congenital heart disease in the second-trimester fetus through prenatal cardiac screening: a systematic review an... by Lies Dina Liastuti, Lies Dina Liastuti, Yosilia Nursakina, Yosilia Nursakina

“…BackgroundCongenital heart disease (CHD) is a major contributor to morbidity and infant mortality and imposes the highest burden on global healthcare costs. Early diagnosis and prompt treatment of CHD contribute to enhanced neonatal outcomes and survival rates; however, there is a shortage of proficient examiners in remote regions. …”
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AUTOMATED RESOURCE MANAGEMENT SYSTEM FOR THE UTILITY SECTOR BASED ON WIRELESS SENSOR NETWORKS by Igor Nevliudov, Andrii Sliusar, Sofiia Khrustalova, Kirill Khrustalev

“…This approachallows rationalising the consumption of resources by household consumers, which means that the financial costs of energy supply will decrease and the level of energy savings in the country will increase. …”
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A new approach to the problem of assessing the radon hazard of building sites by N. K. Ryzhakova, K. O. Stavitskaya, A. A. Udalov

“…The approach proposed in the work for assessing radon hazard will allow avoiding labor-intensive measurements of radon and thereby reduce the financial, material and labor costs of building construction.…”
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Comparative outcomes of human acellular dermal matrices in breast reconstruction: a systematic review and meta-analysis framework by Yousef Tanas, Grace Gasper, Julie Tanas, Sarya Swed, Gioacchino De Sario Velasquez

“…This could potentially minimize the risk of patient complications, improve patient satisfaction, and decrease unnecessary hospital readmissions or reoperations due to avoidable complications, thereby decreasing healthcare costs. Systematic review registration PROSPERO CRD42024542928.…”
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Experimental and machine learning based analysis of pervious concrete enhanced with fly ash and silica fume by Siva Shanmukha Anjaneya Babu Padavala, Siva Avudaiappan, Venkatesh Noolu

“…It also resulted in a 4.7 % reduction in CO₂ emissions and 6.19 % lower material costs, supporting its suitability for sustainable infrastructure applications. …”
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A computational framework for longitudinal medication adherence prediction in breast cancer survivors: A social cognitive theory based approach. by Navreet Kaur, Manuel Gonzales Iv, Cristian Garcia Alcaraz, Jiaqi Gong, Kristen J Wells, Laura E Barnes

“…Non-adherence to medications is a critical concern since nearly half of patients with chronic illnesses do not follow their prescribed medication regimens, leading to increased mortality, costs, and preventable human distress. Amongst stage 0-3 breast cancer survivors, adherence to long-term adjuvant endocrine therapy (i.e., Tamoxifen and aromatase inhibitors) is associated with a significant increase in recurrence-free survival. …”
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Multiphase Transport Network Optimization: Mathematical Framework Integrating Resilience Quantification and Dynamic Algorithm Coupling by Linghao Ren, Xinyue Li, Renjie Song, Yuning Wang, Meiyun Gui, Bo Tang

“…Experimental results demonstrate a 28.7% reduction in road network traffic variance (from 42,760 to 32,100), 22.4% improvement in public transit path redundancy, and 30.4–44.6% decrease in regional traffic load variance with minimal costs. Hyperparameter analysis reveals two optimal operational modes: rapid cooling (rate = 0.90) achieves 85% improvement within 50 epochs for emergency response, while slow cooling (rate = 0.99) yields 12.7% superior solutions for long-term planning. …”
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Nursing Shortage in Pakistan: A Looming Crisis by Fawad Mueen Arbi, Mahnoor Baloch, Shahid Ullah Khan

“…Furthermore, the shortage of nurses results in delayed care, longer hospital stays, and increased healthcare costs.5 To tackle this crisis, steps must be taken urgently. …”
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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…Finally, channel pruning is applied to remove inefficient channels, effectively reducing computational costs and optimizing resource allocation efficiency. …”
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Comparative Analysis of the Effectiveness of the Budget Funds Use at the Regional Level by E. A. Rechkina, A. M. Terekhov, Zh. G. Popkova

“…The budget of the Murmansk Region is characterized by a significant reduction in the debt burden, which reduces the share of public debt servicing costs, and the ratio of the amount of public debt to the expenditures of the regional budget by the end of 2021 approached zero. …”
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High-voltage defibrillator unit with increased energy output from a controlled capacitor storage by E. E. Gorokhov-Miroshnikov, G. V. Slyusarev

“…The obtained results can be used to create a new generation of mass-produced defibrillators with better therapeutic capabilities and reduced production costs.…”
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Exploring Isochrysis galbana Biomass Formats: Effects on Live Prey Oxidative Status and Lipid Profiles for Their Potential Use in Aquaculture Larval Nutrition by Ana Galindo, José A. Pérez, Annia Mora, Diana B. Reis, Eduardo Almansa, Ignacio A. Jiménez, Maria Carmo Barreto, Marianna Venuleo, Nieves G. Acosta, Covadonga Rodríguez

“…However, in-house microalgal cultures are costly, prone to contamination, and require complex harvesting. …”
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Simplifying Two-Stage Object Detectors for On-Board Remote Sensing by Jaemin Kang, Hoeseok Yang, Hyungshin Kim

“…Experiments conducted on state-of-the-art two-stage detectors, such as Oriented-RCNN and LSKNet, demonstrate that our method reduced computation costs up to 58.1% while achieving a 1.6%p increase in average accuracy on the DOTAv2.0 dataset. …”
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Diabetes knowledge, risk and severity perceptions, lifestyle behaviours and management barriers among Sub-Saharan African immigrants living in the UK: an ethnographic study by Love Onuorah, Julie Santy-Tomlinson, Peter Draper

“…Difficulty navigating the healthcare system, time and costs prevented use of healthcare services. Conclusion Culturally structured and targeted interventions to raise diabetes knowledge, risks and severity perceptions and the benefits of effective management of type 2 diabetes will decrease perceived barriers to achieve desired outcomes. …”
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Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice. by Gavin B Stewart, Douglas G Altman, Lisa M Askie, Lelia Duley, Mark C Simmonds, Lesley A Stewart

“…Although one-stage models offer a flexible environment for exploring model structure and are useful where across study patterns relating to types of participant, intervention and outcome mask similar relationships within trials, the additional insights provided by their usage may not outweigh the costs of statistical support for routine application in syntheses of randomised controlled trials. …”
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A review on Linear Fresnel Reflector (LFR) as a solar line concentrator in polygeneration for low-medium temperature applications among the rural livelihoods by Sanju John Thomas, Sudhansu S. Sahoo, Sheffy Thomas, Ajith Kumar G, Mohamed M. Awad

“…Rural electrification is exhaustive, costly, and lacks paybacks while renewable energy interventions are policy-influenced usually taking a top-down approach. …”
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Global carbon emission governance and green trade: the moderating role of political stability and trade diversity by Mengyao Guo, Yiniu Cui, Zizhuo Li, Jingjing Wang, Shuo Qiao

“…In contrast to traditional trade, green trade fully considers the social costs of production, investment, and export following economic activities, building upon environmental governance and protection. …”
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Aplicação da modularidade na indústria automobilística: análise a partir de um levantamento tipo survey Survey research on the application of modularity in the automotive industry... by José Antonio Carnevalli, Paulo Augusto Cauchick Miguel, Mario Sergio Salerno

“…Regarding automotive assemblers, the main benefit of adopting modularity is linked to the outsourcing of some activities to suppliers, transferring fixed costs to them. Concerning suppliers, the main benefit is the partnership increase with customers, such as exclusive supply and the development of new organizational competencies.…”
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Customer active power consumption prediction for the next day based on historical profile by Ahmad A. Goudah, Mohamed El-Habrouk, Dieter Schramm, Yasser G. Dessouky

“…<p>Energy consumption prediction application is one of the most important fields<br />that is artificially controlled with Artificial Intelligence technologies to maintain<br />accuracy for electricity market costs reduction. This work presents a way to build<br />and apply a model to each costumer in residential buildings. …”
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An econometric model for crop water footprint assessment by V. Niccolucci, M. Meffo Kemda, M. Marchi, G. Cai, C. Montefrancesco, S. Parri, A. Di Noi, E. Alberti

“…Accurately estimating evapotranspiration is complex and costly, yet it is essential for determining crop water needs. …”
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