PENINGKATAN EFISIENSI PENGGUNAAN LAHAN KELOMPOK TANI SUNGKAI PERMAI MELALUI TUMPANG SARI JAGUNG DAN KACANG TANAH DAN PENGENALAN CENDAWAN MIKORIZA ARBUSKULA (CMA) by Yusniwati Yusniwati, Nilla Kristina

“…Therefore, diversifying commodities on limited land so that land efficiency increases are significant to prepare the next source of seeds. To support increased land use efficiency, optimal soil conditions are needed. …”
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Collaborative Scheduling Framework for Post-Disaster Restoration: Integrating Electric Vehicles and Traffic Dynamics in Waterlogging Scenarios by Hao Dai, Ziyu Liu, Guowei Liu, Hao Deng, Lisheng Xin, Liang He, Longlong Shang, Dafu Liu, Jiaju Shi, Ziwen Xu, Chen Chen

“…This study proposes a collaborative scheduling framework for post-disaster restoration in waterlogging scenarios, addressing the impact of waterlogging on both transportation and distribution systems. The method integrates electric vehicles (EVs), mobile power sources (MPSs), and repair crews (RCs) into a unified optimization model, leveraging an improved semi-dynamic traffic assignment (SDTA) model that accounts for temporal variations in road accessibility due to water depth. …”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…Abstract Machine learning can revolutionize the development of laser-plasma accelerators by enabling real-time optimization, predictive modeling and experimental automation. …”
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Analysis of some error-causing factors in two-dimensional geoelectrical studies and providing a solution to minimize them by Hosein Moghaddasi, Mohsen Moghaddasi, Ahmad Neyamadpour

“…Finally, the optimal method from which the best results are obtained was proposed. …”
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Modifying milling parameters: Impact on selective separation of lithium-rich phases in a thermodynamically designed battery slag by Sima Hellmers, Hao Qiu, Bengi Yagmurlu, Arno Kwade

“…Thus, it can be concluded that the grinding parameters not only affect the comminution processes and their energy consumption, but also the particle morphology and flotation behavior. Therefore, an optimal mechanical pre-treatment of the slags enables an increase recovery of lithium in the recycling of LIBs and a decreasing the requirement of primary sources, both of which contribute to the circular economy.…”
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Assessment of mesenchymal stem cells for the treatment of spinal cord injury: a systematic review and network meta-analysis by Runfang Wang, Yiding Wang, Fangning Yan, Jinqing Sun, Tianyu Zhang

“…Network meta-analysis indicated that umbilical cord mesenchymal stem cells (UCMSCs) were the most effective cell source, and intrathecal injection (IT) was the optimal transplantation method.ConclusionThe study suggests that the current use of UCMSCs for IT transplantation may be the best transplantation strategy for improving functional impairment after SCI. …”
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Vibration Analysis of Composite Multilayer Floor of High-Speed Train by Ying Han, Wenjing Sun, Jinsong Zhou, Dao Gong

“…Therefore, the stainless steel-birch core composite floor with a large panel thickness has the best vibration isolation performance and can be used for the floor above the bogie and the suspended excitation source. Then, an optimal analysis considering mass and vibration characteristics was carried out, and the results show that there exists an optimal solution for the high-speed train. …”
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TINGKAT PENCAHAYAAN ALAMI PADA TATA LETAK INTERIOR AREA BACA PERPUSTAKAAN Studi Kasus : Ruang Layanan Referensi Perpustakaan DaerahProvinsi Jawa Tengah by Sutrati Melissa Malik, Erni Setyowati, Wahyu Setiabudi

“…The discussion and analysis in this study is quantitative descriptive. Method of Measuring the level of natural lighting in the room is done on a point of reference services Main Measure that is based on the position where the lamp. …”
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Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification by Gita Indah Hapsari, Rendy Munadi, Bayu Erfianto, Indrarini Dyah Irawati

“…Experimental results demonstrate that the proposed feature selection method significantly reduces model training and testing times without compromising accuracy. …”
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Single-particle-thick microstructures fabricated through controlled withdrawal of particles from a dispersion meniscus by Y. Harkavyi, G. Tiwari, Z. Rozynek

“…The physical mechanisms governing structure formation are examined, and key sources of instability are identified to support process optimization. …”
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Application and prospect of artificial intelligence in empowering the operation and managment of oil and gas pipelines by Qi LIAO, Chunying LIU, Jian DU, Hao LAN, Yongtu LIANG, Haoran ZHANG

“…Conclusion Amidst the emerging wave of advancing AI technologies, the pursuit of smart operation of oil and gas pipelines mandates further explorations, including bolstering the application of various methods to integrate vast multi-source heterogeneous data, deepening research on few-shot and zero-shot learning techniques, advocating the convergence of augmented intelligence and artificial intelligence, refining the amalgamation of causal inference and machine learning, and concentrating on life-cycle management anchored in digital twin technology. …”
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Similarity Criterion Based on the Analytical Solution of Heat Conduction Equation in Frozen Soil by BO Yin, WANG Cong, FENG Yan-fang, ZHANG Bin, ZHANG Ying, GUO Xiao-gang, YAO Jin-song, WEI Lai, CHEN Rong, XU Chen

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Optimising the thermal characteristics of Williamson fluid flow through a microchannel influenced by the Hall effect using response surface methodology by Pradeep Kumar, M.N. Guruprasad, Felicita Almeida, Taseer Muhammad

“…The governing equations are solved numerically using the Runge-Kutta-Fehlberg method in conjunction with the shooting technique. …”
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Enhancing action recognition in educational settings through exercise-induced neuroplasticity by Xu Yuan, Han Li, ShuangYi Feng, MingYang Sun

“…Existing models primarily rely on behavioral metrics, neglecting the underlying neural mechanisms that drive skill acquisition.MethodsOur method introduces a Neuroplastic Learning Dynamics Model (NLDM), a computational framework designed to simulate the synaptic modifications, cortical reorganization, and learning-induced connectivity changes that occur during educational engagement. …”
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Analisis rantai nilai dalam aspek lingkungan dan ekonomi menggunakan VCOR pada petani kopi di Malang by Imam Santoso, Miftahus Sa'adah, Izzum Wafi'uddin, Naila Maulidina Lu'ayya, Dodyk Pranowo, Retno Astuti

“…This research aims to identify emission sources in the supply chain and determine the economic impact of coffee production at the farmer level. …”
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Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control by Guocheng Song, Qiuwei Wu, Wenshu Jiao, Lina Lu

“…As the integration of renewable energy sources increases, the uncertainty of wind power and photovoltaics bring new challenges to the voltage control problem of active distribution networks (ADNs). …”
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Compound Mask for Divergent Wave Imaging in Medical Ultrasound by Zahraa Alzein, Marco Crocco, Daniele D. Caviglia

“…However, the spatial and contrast resolution crucially depends on the weights applied in the compound phase, whose optimization is often cumbersome and based on trial and error. …”
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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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Incentive Determination for Demand Response Considering Internal Rate of Return by Gyuhyeon Bae, Ahyun Yoon, Sungsoo Kim

“…Based on actual load data, incentives are determined using an iterative mixed-integer programming (MIP) optimization method that progressively adjusts the incentive level to address the overall nonlinearity arising from both the multiplication of variables and the nonlinear characteristics of the internal rate of return (IRR), ensuring that the target IRR is achieved. …”
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The role of green finance in reshaping end-use energy consumption: insights from regional evidence in China by Mingzheng Deng, Xiangyi Lu, Ruibin Tong, Yan Xue, Shuaihang Shi, Rui Guo

“…Despite growing interest in this area, the relationship between green finance and the optimization of end-use energy consumption remains underexplored, particularly in the context of regional disparities.MethodsThis study investigates the impact of green finance on end-use energy consumption structure across 30 provinces in China from 2014 to 2021. …”
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