The impact of health insurance models on reducing DALYS from cardiovascular diseases and neoplasms: A panel study across 51 OECD member and candidate countries by Aleksandra Kuzior, Zhanat Khishauyeva, Narek M. Kesoyan, Dmytro Sukov, Natalia Sidelnyk, Nataliia Sheliemina, Tetiana Vasylieva

“…As health systems worldwide increasingly focus on mitigating the burden of non-communicable diseases, the strategic role of insurance schemes in facilitating early detection and preventive care, thereby reducing the substantial costs associated with advanced-stage treatment, has become a critical area of policy and research attention. …”
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Exploring the relationship between housing conditions and Métis Nation of Ontario citizen’s health: a qualitative study by Noel Tsui, Abigail J. Simms, Carolyn Lacka, Helana Marie Boutros, Robynn Sadler, Amy Mersereau, David Crenna, Jeff Evenson, Cindi Rye, Sarah A. Edwards

“…Results Seven themes were derived from all focus groups: housing needs and conditions, affordability of shelter costs, renting, infrastructure and connectedness, impacts of housing on mental and emotional health, impacts of housing on physical health, and improvements to housing programs and supports. …”
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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

“…And this is where IoT devices come in, making possible precision agriculture techniques with lowered costs by customizing farming practice for each crop or section of land. …”
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A Framework for Leveraging Digital Technologies in Reverse Logistics Actions: A Systematic Literature Review by Sílvia Patrícia Rodrigues, Leonardo de Carvalho Gomes, Fernanda Araújo Pimentel Peres, Ricardo Gonçalves de Faria Correa, Ismael Cristofer Baierle

“…Their application optimizes execution time, reduces operational costs, and mitigates environmental impacts. <i>Conclusions</i>: For the transportation and manufacturing sectors, integrating Industry 4.0 technologies into RL can streamline supply chains, enhance decision-making, and improve resource utilization. …”
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The Clinical Outcomes of Preoperative Self‐Expandable Metal Stent Placement as Bridge to Surgery for Obstructive Colorectal Cancer by Ryosuke Aoki, Nao Hondo, Masato Kitazawa, Satoshi Nakamura, Makoto Koyama, Masahiro Kataoka, Hirokazu Tanaka, Takuya Iguchi, Yonghan Park, Yuji Soejima

“…Incidence of severe complications was 0% versus 16.7% (p < 0.01); postoperative hospital stay was 14.3 versus 26.6 days (p < 0.01); medical costs were comparable between the groups. The long‐term outcomes of Group S and patients with non‐OCRC who underwent surgery during the same period were compared after propensity score matching. …”
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Prediction of thermophysical properties of R-454B based on molecular dynamic simulation and SAFT-based equation of state by Farag M. A. Altalbawy, Fadhil Faez Sead, Ramdevsinh Jhala, T. Ramachandran, Junainah Abd Hamid, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi

“…This methodology can be employed to estimate second-order derivative thermodynamic properties of novel refrigerants prior to synthesis, potentially reducing the costs and time associated with experimental development.…”
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ASCDet: cross-space UAV object detection method guided by adaptive sparse convolution by Gui Cheng, Xubin Feng, Yan Tian, Meilin Xie, Chaoya Dang, Qing Ding, Zhenfeng Shao

“…ASCDet introduces a plug-and-play detection head compatible with various detection frameworks, significantly reducing computational costs. The method utilizes an adaptive pixel-level mask unit based on a task-alignment strategy to accurately localize object regions. …”
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Condition Monitoring and Fault Prediction in PMSM Drives Using Machine Learning for Elevator Applications by Vasileios I. Vlachou, Theoklitos S. Karakatsanis, Dimitrios E. Efstathiou, Eftychios I. Vlachou, Stavros D. Vologiannidis, Vasiliki E. Balaska, Antonios C. Gasteratos

“…Furthermore, the fault-free operation of PMSM drives reduces operating costs, increases service life, and improves reliability. …”
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A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base by Yawen Zhao, Kexin Zhang, Xiping Duan, Shuping Che, Ning Ma

“…Chronic Kidney Disease (CKD) has become a serious public health problem because of its characteristic &#x2019;three highs and one low&#x2019;: high prevalence, high disability rate, high medical costs, and low awareness. Therefore, an accurate diagnosis of CKD is crucial. …”
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Psychological diagnostic of risk factors for involving adolescents in the use of narcotic substances: the development of a methodical complex. Part 1. Scale structure and psychom... by E. G. Demenko, E. I. Rasskazova, A. Sh. Tkhostov, E. A. Brun, B. V. Arshinova

“…An expanded clinical-psychological observation, due to its high costs, is not always possible, which makes it urgent to develop a primary screening instruments, on the basis of which it is possible to identify risk groups for whom the clinical-psychological examination is especially important, controlling for possible falsifications in the responses. …”
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Performance Evaluation of Coconut Wood Veneer Composite for Sustainable Construction Material by Shamil Haque Kizhakkethodi Mansoor, Vishnu Raju, Anish Mavila Chathoth, Shibu Comath, Adiyodi Venugopal Santhoshkumar, Sreejith Babu, Pavin Praize Sunny, Arjun Memuttathu Sajeevan

“…However, the sclerenchymatous vascular bundle of coconut wood poses challenges for rotary peeling, and the high capital and operational costs associated with palm wood limit its practical use. …”
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Constraint-aware wind power forecasting with an optimized hybrid machine learning model by Md. Omer Faruque, Md. Alamgir Hossain, S.M. Mahfuz Alam, Muhammad Khalid

“…Accurate prediction of wind power generation (WPG) under real-world scenarios is imperative for achieving optimal costing, ensuring reliable operation, and fortifying the security of power systems. …”
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Integrative phenomics, metabolomics and genomics analysis provides new insights for deciphering the genetic basis of metabolism in polished rice by Hui Feng, Yufei Li, Guoxin Dai, Zhuang Yang, Jingyan Song, Bingjie Lu, Yuan Gao, Yongqi Chen, Jiawei Shi, Luis A. J. Mur, Lejun Yu, Jie Luo, Wanneng Yang

“…However, it is technically demanding and costly. Results We propose a relatively inexpensive approach for metabolomics analysis in which metabolomics is combined with hyperspectral imaging via machine learning. …”
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Optimizing energy production from livestock biogas networks in southern Brazil: economic and environmental perspectives by Phillip Schmedeman, Karthik Rajasekaran, Afreen Siddiqi, Cristian Junge, Chun Hern Tan, Janaina Pasqual Lofhagen, Felipe S Marques, Olivier de Weck

“…In contrast, electricity production requires centralized facilities and regional coordination, resulting in higher transportation costs and emissions. Sensitivity analysis reveals that the relative pricing of electricity and biomethane is a critical determinant of the preferred system architecture. …”
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Optimising Household Solid Waste Collection Facility in Autonomous Regions of Developing Countries: A Case Study on Karanganyar Regency, Indonesia by Eko Setiawan, Juang Victorio Kusuma, Ganang Adi Sulistyawan, Septin Puji Astuti

“…Utilising data from Karanganyar Regency in Indonesia, we demons-trate that the optimal model for facility siting is contingent on the specific objectives of the initiative, such as minimising transportation costs or maximising service coverage. Our findings underscore the need for enhanced planning around high-capacity waste collection facilities, emphasising their pivotal role in addressing the future demand for household waste management in autonomous regions. …”
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Exploring the Insights and Interventions for Barriers to Adherence in Bronchial Asthma Treatment through a Patient-centered Approach by Pritama Paul, Abhishek Bhattacharjee, Surendra R Kovvuru, Mukesh Kumar, Gurkaran Bedi, Uttam K Paul

“…Results: Analysis revealed multifaceted challenges contributing to nonadherence, including treatment costs, inhaler availability, lack of treatment response, and motivational issues. …”
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Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design by Carina Imburgia, Lee Organick, Karen Zhang, Nicolas Cardozo, Jeff McBride, Callista Bee, Delaney Wilde, Gwendolin Roote, Sophia Jorgensen, David Ward, Charlie Anderson, Karin Strauss, Luis Ceze, Jeff Nivala

“…Practical DNA-based storage systems require selective data retrieval to minimize decoding time and costs. In this work, we introduce CRISPR-Cas9 as a user-friendly tool for multiplexed, low-latency molecular data extraction. …”
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Organ-on-chip platforms for nanoparticle toxicity and efficacy assessment: Advancing beyond traditional in vitro and in vivo models by Ana Regina Sampaio, Renata Faria Maia, Maria Camilla Ciardulli, Hélder A. Santos, Bruno Sarmento

“…These platforms can cut down on drug development time and costs, making them invaluable for personalized medicine. …”
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Advances and Challenges of Electrospun Nanofibrous Polymer Biomimetic Scaffolds in Cartilage Tissue Engineering by Mehrsa Nasiri, Zahra Ali Asgari, Mohammad Pezeshki Modarres, Milad Jafari Nodoushan, Soheila Zamanlui Benisi, Salar Mohammadi Shabestari

“…Cartilage, as a tissue without blood vessels and nerves, lacks the ability for self-repair, and its injuries are always considered a clinical challenge that affects the lives of millions of people and incurs significant treatment costs. In recent years, the electrospinning technique has gained attention for the production of nanofibers. …”
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SMOTE-LOF for noise identification in imbalanced data classification by Asniar, Nur Ulfa Maulidevi, Kridanto Surendro

“…The unequal distribution of data leads to the machine's inability to carry out predictive accuracy in determining the minority classes, thereby causing various costs of classification errors. Currently, the standard framework used to solve the unequal distribution of imbalanced data learning is the Synthetic Minority Oversampling Technique (SMOTE). …”
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