Logistic and Structural Equation Fitting Analyses of the Effect of Slow-Release Nitrogen Fertilizer Application Rates on the Nitrogen Accumulation and Yield Formation Mechanism in... by Jingjing Shi, Tiantian Meng, Xuanyi Chen, Xiangqian Zhang, Meiren Rong, Huiqing Lan, Guolong Ge, Dejian Zhang, Xiaoqing Zhao, Yonghe Hao, Zhanyuan Lu

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Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models by Brendan Clark, Alan Robock, Lili Xia, Sam S. Rabin, Jose R. Guarin, Gerrit Hoogenboom, Jonas Jägermeyr

“…Placing reflective aerosols in the stratosphere would have profound impacts on the entire Earth system, with potentially far‐reaching societal impacts. How global crop productivity would be affected by such an intervention strategy is still uncertain, and existing evidence is based on theoretical experiments or isolated modeling studies that use crop models missing key processes associated with SAI that affect plant growth, development, and ultimately yield. …”
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Providing an Integrated Model for the Sustainable Development of "Water, Energy and Food" in Iran Using a Grounded Theory Approach by Fatemeh Momeni Mahmouei, Ali Akbar Naji Meidani, Narges Salehnia, GHasem Eslami

“…In order to collect data with 37 experts in related fields, semi-structured interviews were conducted until reaching theoretical saturation, After a process of continuous data comparison and open, axial, and selective coding, the concepts were organized in the form of 264 primary codes, 66 secondary codes, and 17 categories. …”
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Advanced Numerical Modeling and Experimental Analysis of Thermal Gradients in Gleeble Compression Configuration for 2017-T4 Aluminum Alloy by Olivier Pantalé, Yannis Muller, Yannick Balcaen

“…A coupled thermal–electrical finite-element model was developed in Abaqus for the purpose of simulating the resistive heating process. …”
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Point set registration-based image stitching in unmanned aerial vehicle transmission line inspection by Xiyu Wang, Xin Hu, Diyuan Xiang, Jian Xiao, Hongliang Cheng

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Analysis of the influence of the daily regulation of power stations on navigable flow conditions at river confluences using the LSTM model by Hongcheng Xue, Shihao Cui, Qian Ma, Zhongyong Li, Pengyu Zhou, Yuanyuan Li, Lingyun Xie

“…The continuity and momentum equations, along with the RNG k-ϵ turbulence model and the VOF model, were employed to simulate the river flow process at the confluence under unsteady flow conditions. …”
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Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models. by Ali Alhazmi, Rohana Mahmud, Norisma Idris, Mohamed Elhag Mohamed Abo, Christopher Ifeanyi Eke

“…To achieve the objectives, the methodology used includes data collection, data pre-processing, feature extraction, the construction of classification models, and the evaluation of the constructed classification models. …”
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Dynamics of electron transfer and coupling between charging and discharging in triboelectrification between insulators by Wei Li, Lei Zhu, Liran Ma, Xuefeng Xu

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Numerical Modeling on Ocean-Bottom Seismograph P-Wave Receiver Function to Analyze Influences of Seawater and Sedimentary Layers by Wenfei Gong, Hao Hu, Aiguo Ruan, Xiongwei Niu, Wei Wang, Yong Tang

“…Numerical modeling shows that seawater multiple reflections are mixed with the coda waves of the direct P-wave and slightly impact the extracted receiver functions and can thus be ignored in subsequent inversion processing. …”
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Limited data based kinetic modeling and optimization of propionic acid synthesis over supported Rh/C catalyst by László Balogh, Jenő Bódis, Botond Szilágyi, Ágnes Bárkányi, Attila Egedy

“…The operating parameters were optimized by using this model to enhance the energy and material efficiency of the process. …”
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Toward causal artificial intelligence approach for PM2.5 interpretation: A discovery of structural causal models by Mallika Kliangkhlao, Apaporn Tipsavak, Thanathip Limna, Racha Dejchanchaiwong, Perapong Tekasakul, Kirttayoth Yeranee, Thanyabun Phutson, Bukhoree Sahoh

“…Statistical validation provided robust evidence of the model's reliability, with fit indices—including NFI, TLI, CFI, GFI, and AGFI—reaching approximately 0.98 and RMSEA approximating 0.05. …”
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A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress by Yong Liu, Tiesong Hu, Rui Zhu, Qiuwen Chen, Xiang Zeng, Peiran Jing, Yifan Huang

“…Experimental and numerical results show that the SRSC model accurately reproduces the stomatal response to environmental changes, especially for the low soil water potential conditions (Ψsoil<−2MPa) compared to the previous models, which increased the R2 of gs, photosynthetic rate (An), and Ci reaching 2.56 %, 1.97 %, and 9.04 %, respectively. …”
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Multivariate Optimization And Modeling of Gas Refinery Oily Wastewaters Treatment Utilizing Activated Carbon As High Throughput Adsorbent by Hamed Bagheri, Bizhan Honarvar, Nadia Esfandiari, Zahra Arab Aboosadi

“…It is reported that to reach an efficient treatment process, the adsorption process should be optimized by a reliable optimization process. …”
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Simulation of Soil Temperature and Humidity at Mado Station by CLM5.0 Model Encrypted Soil Layering Scheme by Yiqun BAO, Shihua LÜ, Zisha LIU

“…The source of the Yellow River is an important water conservation area in the Yellow River Basin， and it is of great significance to study the influence of different soil stratification on the simulation results of freeze-thaw process and to improve the model's simulation ability of water-heat transport process for the study of freeze-thaw process in the alpine region.In this paper， we use the observation data from Mado station in the Yellow River source area as the forcing field to drive the land surface model CLM5.0 （Community Land Model） to simulate in Mado station， and use the three improved soil layering schemes of CLM5.0 to simulate the influence of different soil layering on the soil freezing and thawing process， and compare the simulation results with the observations to analyze the influence of the improved layering schemes on the land surface model.CLM5.0 in the Yellow River source area in the process of freezing and thawing on the soil temperature and humidity simulation ability to improve the effect of the following conclusions： （1） adjusted three soil layering scheme on the simulation of soil temperature at Mardo station has a better effect of the improvement of the simulation of the three programs in the 30-layer program simulation of the best effect of the simulation， simulated values and the average correlation coefficient with the observed value reaches 0.954， the average root-mean-square error of 3.334 ℃ （2） The simulation effect of the three adjusted soil layering schemes on soil moisture at Mado station is also improved more significantly， which can accurately capture the seasonal changes of soil moisture in each layer in a whole year， affected by precipitation， the simulated values are not sufficiently relevant to the simulation of the troughs of the measured values， and the best simulation effect is achieved in the 30-layer scheme among the three schemes， with an average correlation coefficient of 0.770， and an average root-mean-square error of The average correlation coefficient is 0.770， and the average root mean square error is 0.039 m3·m-3； （3） For the simulation of the initial day of freezing and the initial day of ablation， the adjusted three different soil layers have obvious effects on the simulation of the freezing period and the ablation period， and the simulated initial day of freezing and the initial day of ablation of the shallow layer are in line with the observed values， while the simulation of the initial day of freezing and the initial day of ablation of the deeper layer is somewhat biased， with delays compared with the observed values， and the period of ablation is more persistent.…”
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Penerapan Model Algoritma Unsupervised Learning untuk Klasterisasi Tingkat Kenyamanan Ruang Tidur berdasarkan Faktor Lingkungan by Mhd Idham Khalif, Listyo Edi Prabowo

“…This research successfully applied clustered data processing using the ML model, specifically unsupervised learning with the k-means clustering algorithm, to the collected data. …”
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Influence of Soil Plugging on Dynamic Soil Response During Simulated Pipe Pile Driving Model Test in Sands by Songchao Lin, Ye Lu, Chong Zhao

“…Moreover, spectrum analysis was performed to explore the patterns of vibration waves in the open-ended pipe pile during the striking process. For open-ended pipe piles, acceleration fluctuations were detectable solely when the pile reached the sensor depth and at the end of the pile driving process, which revealed that the hammering energy was mainly consumed by pile settlement and the formation of the soil plug. …”
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Exploring the participant experience in controlled human infection model (CHIM) trials: A modified grounded theory study. by Anna G Mack, Donna M Halperin, Bailey M Selig, Brian R Condran, Scott A Halperin

“…Twenty six participants engaged in semi-structured interviews at four time periods throughout their year-long involvement in the CHIM trial, using a constant comparative approach of simultaneous data collection and analysis. This process continued until saturation was reached and an emerging theoretical model was constructed depicting the CHIM trial participant experience over time.…”
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Blind deconvolution estimation by multi-exponential models and alternated least squares approximations: Free-form and sparse approach. by Daniel U Campos-Delgado, Omar Gutierrez-Navarro, Ricardo Salinas-Martinez, Elvis Duran, Aldo R Mejia-Rodriguez, Miguel J Velazquez-Duran, Javier A Jo

“…The deconvolution process is a key step for quantitative evaluation of fluorescence lifetime imaging microscopy (FLIM) samples. …”
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Accurate Modeling and Efficiency Optimization of High Frequency BCM Mode Boost Converter Based on GaN Devices by Yifeng Wang, Zhongjie Wang, Bo Chen, Hao Wang

“…In order to fully ensure realization of soft switching in BCM mode, this paper has carried on indepth mathematical modeling analysis to the realization process of soft switching. …”
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Mathematical modeling, drying kinetics, and economic analysis of a hybrid photovoltaic thermal solar dryer for henna leaves by Abdallah Elshawadfy Elwakeel, Awad Ali Tayoush Oraiath, Tarek Hussien M. Ghanem, Ahmed Elbeltagi, Ali Salem, Ahmed Z. Dewidar, Abdelaziz M. Okasha, Abadeer Habib, Tamer M. El-Messery, Moustapha Eid Moustapha, Khaled A. Metwally

“…Current research on henna processing reveals a significant gap in drying engineering studies, creating a critical barrier to process optimization and quality enhancement. …”
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