Model of Swamp and Peat Area Protection Policy Based on Justice and Local Community Empowerment by Taufik Wijoseno, Aullia Vivi Yulianingrum, Elviandri Elviandri

“…The Normative Juridical Citation Method and data are collected from primary legal sources, including Law Number 26 of 2007 concerning Spatial Planning, Law Number 3 of 2020 concerning Amendments to Law Number 4 of 2009 concerning Mineral and Coal Mining, as well as Kutai Kartanegara Regional Regulation Number 1 of 2016 itself and secondary legal sources in the form of relevant literature, such as books, journals, articles and internet sources as well as mass media, both print and online and allow data triangulation to be carried out. …”
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Application of the Bionic Concept in Reducing the Complexity Noise and Drag of the Mega High-Speed Train Based on Computer Simulation Technologies by He-xuan Hu, Bo Tang, Ye Zhang

“…Then, the finite volume method was used for numerical simulation and analysis of the aerodynamic performance and aerodynamic noise of the bionic high-speed train. …”
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A novel principle of frequency characteristics-based current differential protection for outgoing lines of wind farms by Bingran Wang, Zengping Wang

“…With the development of renewable energy sources, conventional power frequency-based protection schemes face performance decrease problems. …”
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A systematic review on the relationship between marine pollution and human health in small island developing states by Alisha Morsella, Carolina Castagna, Rosaria Messina, Nicolò Scarsi, Walter Ricciardi, Chiara Cadeddu

“…Abstract Introduction: The global ocean is a vital source of resources crucial for human well-being, supplying oxygen, food, livelihoods, medications, and serene blue spaces. …”
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A Thermo–TDR Sensor for Simultaneous Measurement of Unfrozen Water Content and Thermal Conductivity of Frozen Soil by Panting Liu, Simao Fan, Qingyi Mu, Qifan Zhang, Linlin Tang, Jine Liu, Fuqing Cui, Zhiyun Liu, Xuna Wang

“…The results show that (1) under the optimized probe parameters, the deviation between the theoretical thermal conductivity and the numerical preset value is 2.94%, verifying the accuracy of the sensor in thermal physical testing. (2) With a 10 mm probe spacing design, the test area of the thermo-TDR significantly increased, and the skin effect coefficient reached 25.54%, satisfying the electromagnetic design requirements of the TDR method. (3) The designed thermo-TDR sensor realizes the simultaneous measurement of unfrozen water and thermal conductivity of frozen soil, and the experimental results present a good consistency with that of the nuclear magnetic resonance (NMR) and transient planar heat source methods. (4) Additionally, due to the drastic changes in the soil’s physical properties due to the probe’s heating process, testing errors of the thermo-TDR sensor will significantly increase in the near-phase transition range, especially in the range of −2~−1 °C.…”
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An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection by Farouq Zitouni, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed, Saad Harous

“…Its complexity arises from the vast search space, necessitating the application of metaheuristic methods to efficiently identify optimal feature subsets. …”
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Investigating the relationship between the Khami reservoir horizon in the Chilingar and Garangan oilfields in the Southern Dezful Embayment using surface geochemistry by Bahram Alizadeh, Arman Salehipour Bavarsad

“…Abstract Understanding reservoir connectivity is critical for reducing exploration risk and optimizing field development. This study uses surface geochemistry techniques to investigate the relationship between the Khami reservoir horizon in the Chilingar and Garangan oilfields, located in the Southern Dezful Embayment. …”
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DeepSARFlood: Rapid and automated SAR-based flood inundation mapping using vision transformer-based deep ensembles with uncertainty estimates by Nirdesh Kumar Sharma, Manabendra Saharia

“…These labels are used to train deep learning models based on Convolutional Neural Networks (CNN) and Vision Transformer (ViT) architectures, optimized through multitask learning and model soups. …”
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Business confidence in the shift to renewable energy: A country-specific assessment in major Asian economies by Irsan Hardi, Ghalieb Mutig Idroes, Yoshihiro Hamaguchi, Muhlis Can, Teuku Rizky Noviandy, Rinaldi Idroes

“…ABSTRACT: The growing awareness of the importance of transitioning to sustainable energy sources emphasizes the necessity of fostering business optimism toward renewable energy, as businesses wield significant influence in driving innovation and scaling up renewable energy deployment. …”
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Community surveillance and response to maternal and child deaths in low- and middle-income countries: A scoping review. by Tariro J Basera, Kathrin Schmitz, Jessica Price, Merlin Willcox, Edna N Bosire, Ademola Ajuwon, Marjorie Mbule, Agnes Ronan, Fiona Burtt, Esca Scheepers, Jude Igumbor

“…However, the accuracy and completeness of data reported by CHWs are sub-optimal.<h4>Conclusions</h4>Community-based death reporting complements formal registration of maternal and child deaths in LMICs. …”
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Epidemiological trends of influenza A and B in one hospital in Chengdu and national surveillance data (2019–2024) by Xiang Li, Chenlijie Yang, Lu Chen, Jian Ma, Zhongliang Hu

“…Understanding their epidemiological trends is essential for optimizing prevention and control strategies.ObjectiveThis study aims to analyze the epidemiological trends of Flu A and Flu B, compare hospital-based and national surveillance data, and evaluate the impact of COVID-19 on influenza transmission to provide scientific evidence for influenza control measures.MethodsWe analyzed influenza positivity rates from Sichuan Jinxin Xinan Women and Children Hospital data (HD) and Chinese National Influenza Center (CNIC) between 2019 and 2024. …”
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Prenatal weight stigma can affect relationship quality and maternal health outcomes by Taniya S. Nagpal, Angela C. Incollingo Rodriguez

“…Social support is a necessary psychosocial factor for optimal health and wellbeing throughout pregnancy, and weight stigma sourced from these integral relationships may negatively affect health outcomes. …”
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Formulating a Horseradish Extract in Phospholipid Vesicles to Target the Skin by Maria De Luca, Luca Casula, Carlo Ignazio Giovanni Tuberoso, Ramon Pons, Maria del Carmen Morán, María Teresa García, Giuseppe Martelli, Antonio Vassallo, Carla Caddeo

“…<b>Background/Objectives</b>: Horseradish (<i>Armoracia rusticana</i> L.) roots—largely used in traditional medicine for their multiple therapeutic effects—are a rich source of health-promoting phytochemicals. However, their efficacy can be compromised by low chemical stability and poor bioavailability. …”
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How sustainable are hypocaloric and balanced diets for weight loss? by Ramona De Amicis, Andrea Foppiani, Alessandro Leone, Federica Sileo, Francesca Menichetti, Sara Paola Mambrini, Marta Pellizzari, Massimiliano Tucci, Daniela Martini, Cristian Del Bo, Patrizia Riso, Simona Bertoli, Alberto Battezzati

“…Objective To compare conventional hypocaloric and balanced weight-loss diets with the sustainable EAT-IT diet, investigating their alignment, the influence of BMI and sex on EAT-IT adherence, to optimize the EAT-IT diet for weight management. Methods 4032 patients (72% female, median age 49y, BMI 29 kg/m2) received hypocaloric diets based on Mediterranean principles (51% carbohydrates, 31% lipids, 0.9 g/kg body weight protein, 17 g/1000 kcal fiber), following Italian dietary guidelines. …”
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Sum-Power Minimization in Multiuser Single-DF-Relay Networks with Direct Links by Shiguo Wang, Haixia Peng, Xianru Liu

“…The optimal power allocation strategy of one part is determined directly, and minimizing the system-sum-power consumption of the other part is converted into minimizing source-sum-power consumption, which can be solved easily through Karush-Kuhn-Tucker (KKT) condition. …”
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INFLUENCE OF THE SPATIAL ARRANGEMENT OF SEISMIC DETECTORS ON THE ACCURACY OF EARTHQUAKE HYPOCENTRE DETERMINATION by T. G. Aslanov, Кh. J. Magomedov, U. A. Musayeva, Кh. Y. Tagirov

“…To determine the coordinates of the seismic focus of an earthquake with a minimum margin of error with the use of an optimal selection of seismic sensors. Method. Seismic wave velocity data, relying on the time discrepancies between the registering of seismic waves on the seismic sensor and the defined error in determining the time difference, were used to identify errors in the location of an earthquake's hypocenter depending on the respective positions of three seismic sensors. …”
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Bridging the gap: clinical translation of adipose-derived stem cells - a scoping review of clinical trials by Hankun Su, Hoksan Chau, Qilin Li, Fen Xiao, Yuanyuan Sun, Jingjing Chen, Yayi He, Jinyao Ning, Qin Hu, Yujie Xiao, Caiwen Li, Bixia Huang, Jing Zhao, Yanping Li, Hui Li

“…Bibliometric analysis revealed three clusters: stem cell sources and basic biology, orthopedic applications, and tissue regeneration mechanisms. …”
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Exploring the gastric cancer care pathway in South Africa by Anishka Ramadhar, Juliana Kagura, Mazvita Muchengeti, Cameron Gaskill, Natasha Khamisa

“…Conclusion: A MDT approach for optimal treatment and patient care may be the best method for prolonged life. …”
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The Impact of Conservative Accounting on the Speed of Leverage Adjustment in Response to Stock Price Crash Risk by Abdullah Khaled Azeez, Akbar Zavari Rezaei, Mehdi Heidari

“…This study aimed to investigate whether accounting conservatism could enhance the speed of leverage adjustment in the context of stock price crash risk. Materials & MethodsThis study employed both experimental and statistical methods to test the hypotheses. …”
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Assessment and Prediction of Typhoon-Related Direct Economic Loss in Fujian Province Based on LightGBM by Zhang Zhixia, Yang Jian, Chen Sixiao, Lin Sen

“…Consequently, the accurate assessment and prediction of typhoon-induced DEL are essential for improving disaster mitigation strategies and optimizing resource allocation. Rapid development of artificial intelligence and the growth of multi-source spatiotemporal big data have introduced data-driven methods for assessing disaster losses. …”
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