Effectiveness of Mobile Health Services in Remote Papua under Indonesia’s Minister of Health Regulation No. 90 of 2015 by Nora Lelyana, Aris Sarjito

“…Additional challenges, such as cultural barriers, logistical complexities, and financial instability, hinder the long-term sustainability of these services. …”
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AI-Driven Spatial Data Analysis of Groundwater Level and Gravimetric Data in Roorkee Region, India by H. Sarkar, C. S. P. Ojha, S. K. Ghosh

“…However, traditional methods face challenges in predicting groundwater storage due to their inherent complexity. To address this gap and align with SDGs, this study aims to develop a regression-based machine learning model for spatially varying groundwater level prediction. …”
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Drone-Captured Wildlife Data Encryption: A Hybrid 1D–2D Memory Cellular Automata Scheme with Chaotic Mapping and SHA-256 by Akram Belazi, Héctor Migallón

“…Extensive performance evaluations demonstrate the effectiveness of the proposed scheme, which balances security and complexity while outperforming existing algorithms.…”
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Bridging the gap: The future of biosimilars regulations by Anan S. Jarab, Shrouq R Abu Heshmeh, Ahmad Z. Al Meslamani

“…The ultimate goal is to ensure that patients worldwide have timely access to safe, effective, and affordable biosimilar treatments.…”
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Precharge switch based on metal-oxide-semiconductor-controlled thyristor for power relay assembly of battery electric vehicles by Dong Yun Jung, Kun Sik Park, Sang In Kim, Hyun Gyu Jang, Jongil Won, Yong Ha Lee, Jong-Won Lim

“…The power relay assembly (PRA) is an essential component to ensure the safety of an electric vehicle. We propose a semiconductor-based precharge switch to overcome the shortcomings of the conventional mechanical relay, which is currently used as the precharge switch in the PRA. …”
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Enhancing energy efficiency in pharmaceutical freeze drying: adapting to EU legislation on fluorinated gases by T. Keller, M. Wolf, T. Pröll

“…The pharmaceutical industry relies heavily on freeze-drying technology to ensure the stability and longevity of various medical products. …”
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The ethics of using artificial intelligence in medical research by Shinae Yu, Sang-Shin Lee, Hyunyong Hwang

“…Ultimately, the proactive management of AI’s ethical implications is vital to ensure that its integration into healthcare improves patient outcomes without compromising ethical integrity.…”
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Nonblocking Modular Supervisory Control of Discrete Event Systems via Reinforcement Learning and K-Means Clustering by Junjun Yang, Kaige Tan, Lei Feng

“…The obtained supervisor policy can ensure both system constraints and larger control freedom compared to conventional RL-based supervisors. …”
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Methodology of Organizing and Conducting Distance Olympiads in Korean as a Second Foreign Language in the Process of Professional Training of Future Foreign Language Teachers by I. Yu. Larionova

“…The general complexity of the tasks, and difficulties associated with the nature of the linguistic material were also taken into account.Conclusion. …”
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Stakeholders and Contextual Factors in the Implementation of Assistive Robotic Arms for Persons With Tetraplegia: Deductive Content Analysis of Focus Group Interviews by Vera Fosbrooke, Marco Riguzzi, Anja M Raab

“…These findings highlight the complexities involved in implementing AT innovations and the importance of addressing contextual factors. …”
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Research on Technology of Optical Switch Devices with Integrated Tunable Filters by HU Di, XIAO Qingming, ZHENG Jie

“…To reduce the implementation complexity of the ROADM downstream transmission system, it is necessary to address the issue of bulky module sizes. …”
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Advancing Water Quality Management: An Integrated Approach Using Ensemble Machine Learning and Real-Time Interactive Visualization by Jigna K. Pandya, Suresh S. Khandelwal, Rupesh Kumar Tipu, Kartik S. Pandya

“…Traditional methods for predicting water quality often lack accuracy and robustness due to limitations in data availability and model complexity. This study presents a novel approach to predicting water potability by developing an advanced ensemble model and an interactive visualization dashboard. …”
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METHOD OF IDENTIFICATION OF OBJECT STATES ACCORDING TO THE RESULTS OF FUZZY MEASUREMENTS OF CONTROLLED PARAMETERS by Лев Григорович Раскін, Лариса Вадимівна Сухомлин, Юрій Володимирович Іванчихін, Роман Олегович Корсун

“…Thus, a method of identifying the state of fuzzy objects with a fuzzy non-productive output mechanism is proposed, the complexity of which does not depend on the dimension of the task.…”
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Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…To ensure a robust evaluation and reduce potential biases, 5-fold cross-validation was used, further validating the consistency and reliability of the models across different dataset partitions. …”
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Bibliometric analysis and impact of heavy metals contamination in soils by M. Kamaraj, N. Kiruthika, T. Saranya, J. Aravind

“…The study also discusses current challenges in addressing heavy metal contamination, such as the complexity of metal speciation, soil heterogeneity, and the potential exacerbating effects of climate change. …”
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A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities by Debarghya Dutta, Pabitra Kumar Biswas, Sukanta Debnath, Furkan Ahmad

“…The complexity of improving controllers for Active Magnetic Bearing Systems (AMBs), which are essential parts of fast electronic transport networks such as electric cars, aviation technology, and defense systems is examined in this research work. …”
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Managing and Optimizing Hybrid Distributed Energy Systems: A Bibliometric Mapping of Current Knowledge and Strategies by Daniel Słyś, Agnieszka Stec, Kacper Bednarz, Przemysław Ogarek, Martina Zeleňáková

“…Hybrid renewable energy systems (HRESs) play a key role in the decarbonization of many sectors of the economy and, thus, in achieving ambitious climate goals. Due to the complexity of the issues and the impact of many factors on the efficiency of these systems, it is necessary to ensure that they are properly designed, managed, and optimized. …”
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A High-Precision Method for Evaluating the Similarity of Maritime Vessel Trajectories by Ran Ji, Mengkai Ma, Jian Dong, Sen Wang

“…To address these challenges, we propose a robust framework that integrates three core innovations: firstly, a linear feature accuracy-constrained resampling method to ensure computational precision under diverse complexity conditions, validated through experimental verification; secondly, a shape feature extraction and transformation protocol designed to maintain consistency across multi-scale and heterogeneous operational scenarios; thirdly, a quantitative similarity evaluation criterion based on extracted shape characteristics, enabling systematic alignment between localized trajectory segments and historical navigation patterns. …”
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Ensemble Machine Learning Model Prediction and Metaheuristic Optimisation of Oil Spills Using Organic Absorbents: Supporting Sustainable Maritime by Le Quang Dung, Pham Duc, Bui Thi Anh Em, Nguyen Lan Huong, Nguyen Phuoc Quy Phong, Dang Thanh Nam

“…Combining metaheuristics with machine learning ensures accuracy and practical results, tackling the complexity of oil spill control. …”
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Finite-Time Adaptive Control for Electro-Hydraulic Braking Gear Transmission Mechanism with Unilateral Dead Zone Nonlinearity by Qinghua Cao, Jian Wu, Fuxing Xu, Xinhong Miao, Mingjie Guo, Yuan Chu

“…Initially, the unilateral dead zone nonlinearity was reformulated into a matched disturbance term and an unmatched disturbance term to reduce the adverse effects of disturbances, thereby enhancing system controllability. Then, the “complexity explosion” in the design of the control strategy was avoided by command filtering, and the design process of the controller was simplified. …”
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