A Model for Assessing Sustainability and Performance Improvement of Countries via Data Envelopment Analysis by Sara yousefi, Zohreh Mousavi Kashi

“…Due to the importance of this subject, this paper developed SORM integrated data envelopment analysis model and SORM integrated inverse data envelopment analysis model to evaluate the sustainability of countries and to provide improvement values for more sustainability. …”
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Development of a Bowtie Inversion Technique for Real‐Time Processing of the GOES‐16/‐17 SEISS MPS‐HI Electron Channels by A. Boudouridis, J.V. Rodriguez, B.T. Kress, B.K. Dichter, T.G. Onsager

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Seismic Waveform Inversion by Stochastic Optimization by Tristan van Leeuwen, Aleksandr Y. Aravkin, Felix J. Herrmann

“…We then review theoretical results that underlie recent developments in the use of stochastic methods for waveform inversion. …”
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Estimating petrophysical properties using Geostatistical inversion and data-driven extreme gradient boosting: A case study of late Eocene McKee formation, Taranaki Basin, New Zeala... by John Oluwadamilola Olutoki, Mohamed Elsaadany, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Syed Haroon Ali, Alidu Rashid, Oluwaseun Daniel Akinyemi

“…Therefore, theintegration of seismic data with well data for reservoir characterization has garnered significant attention in the oil and gas industry. …”
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Military Interventions As Omitted Variable Of Inversed Democratic Peace: An Empirical Evidence by Srđan Korać, Nenad Stekić

“…Foreign policy score includes S score dataset developed by Curtis S. Signorino and Jeffrey M. Ritter (1999), while for the political regime quality, the authors deploy Polity IV data. …”
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Aligning Indonesia's economic goals with SDGS: Strengthening Qur'anic principles in Islamic finance by Azwar Azwar, Abur Hamdi Usman

“… Purpose – This research examines the relationship between Islamic bank financing aligned with the Sustainable Development Goals (SDGs) and economic growth, incorporating Qur'anic principles in Islamic finance. …”
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Inversion of Reservoir Parameters for Oil Extraction Based on Deformation Monitoring With InSAR by Yue Ma, Lu Zhang, Ding Chen, Haolei Zhang, Yitong Zheng, Shiyong Yan

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Amplitude Variation with Angle Inversion for New Parameterized Porosity and Fluid Bulk Modulus by Shengjun Li, Bingyang Liu, Jianhu Gao, Huaizhen Chen

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Soil total nitrogen inversion and interpretability analysis using vis-NIR spectroscopy and transfer learning by Ping He, Yu Chen, Xingping Wen, Xiaohua Zhou, Zailin Chen, Zhongchang Sun, Xianfeng Cheng

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The impact of hospital competition on healthcare quality: evidence from China’s healthcare reform by Huimin Liu, Junyan Jiang, Liangchun Yu, Xianpeng Liu

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High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning by Jinkang Hu, Dailiang Peng, Jing M. Chen, Alfredo R. Huete, Le Yu, Zihang Lou, Enhui Cheng, Xuan Yang, Bing Zhang

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Prediction of petrophysical properties through comparative post-stack inversion techniques using advance Neural Networking by Pal Washa Shahzad Rathore, Matloob Hussain, Muhammad Bilal Malik, Sher Afgan

“… The sophisticated seismic inversion methodology can develop the relationship between the interpreted seismic data and the elastic properties of the reservoir. …”
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Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China by Ping He, Xianfeng Cheng, Xingping Wen, Yi Cao, Yu Chen

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Development of products with extended shelf life by A. T. Vasyukova, I. U. Kusova, M. M. Dyshekova, A. V. Moshkin, E. V. Glukhova

“…For clarity of experiments, graphs of the dependence of the type of main raw material and VAD on the concentration of the recipe composition and the formation of the flavor and aromatic range have been presented.Conclusion. The experimental data and dependencies obtained will be useful when considering more complex processes of mass transfer, sucrose inversion, and destruction of protein-carotenoid complexes. …”
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A probability integral method modified model for accurately characterizing subsidence at the boundary of a mining area by Bang Zhou, Shengcai Li, Jianrong Kang, Lu Zhang, Jinman Zhang, Ming Li

“…It can effectively guide the coal mining with the goal of railway protection, and has important social significance and engineering application value for the coordinated development of both.…”
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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…Under the impetus of the global energy revolution and the goal of “double-carbon”, the development and utilization of geothermal energy has become an important strategy for the energy development of all countries in the world. …”
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Forecasting formation density from well logging data based on machine learning model by Xiankang Cheng, Haoyu Zhang, Haoyu Zhang

“…Formation density can reflect the pressure state and fluid migration of the reservoir, which is crucial for the re-development of depleted reservoirs. Although various prediction models have been developed using density inversion, the Terzaghi correction, and machine learning techniques, these models are difficult to meet the high-precision requirements during the calculation process. …”
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Development of micromechanical model of asphalt mixture in complex form for dynamic modulus characterization by Bin Liu, Junlin Yang, Kai Zhang, Xiangyang Fan

“…The coefficients of determination between the predicted results and the measured data are all above 0.9, demonstrating the model’s robust predictive capabilities.…”
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The Influence of Participatory Technology and Institutional Participation of Farmer Groups on Farmer Business Development by Ugik Romadi, Gunawan Gunawan, Falah Haris Mohammad

“…However, this is inversely proportional to the unstable price of corn, which can even be far from the normal price. …”
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