Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…Molecular docking was performed using Vina software, which provides modelling and evaluation of interactions between ligand and three-dimensional protein structure, considering their energy and spatial compatibility. …”
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Spatiotemporal evolution and driving factors analysis of carbon stock in traditional industrial transformation region: a case study in Harbin and Changchun urban agglomeration, Chi... by Rui Zhi, Lin Lin, Lin Lin, Xu Yang, Xu Yang, Jingxiao Zhang, Jinggan Shao, Xiangdong Xu

“…Natural factors primarily shape the spatial distribution of carbon stocks. The amount of carbon stored in each scenario is reduced by 2040. …”
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From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation by Seok Joo Chae, Seolah Shin, Kangmin Lee, Seunggyu Lee, Jae Kyoung Kim

“…To address this, we explored various stochastic quasi-steady-state approximations (QSSAs) that simplify the model and reduce simulation time. While both the stochastic total quasi-steady state approximation (stQSSA) and the stochastic low-state quasi-steady-state approximation (slQSSA) reduced simulation time, only the slQSSA provided an accurate model reduction. …”
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Contributon-Informed Approach to RPV Irradiation Study Using Hybrid Shielding Methodology by Mario Matijević, Krešimir Trontl, Dubravko Pevec

“…To optimize MC neutron transport toward the upper RPV head, which is a particularly problematic region for particle transport, a deterministic solution of discrete ordinates in forward/adjoint mode was convoluted in a so-called contributon flux, which proved to be useful for subsequent <i>S_N</i> mesh refinement and variance reduction (VR) parameters preparation. The pseudo-particle flux of contributons comes from spatial channel theory which can locate spatial regions important for contributing to a shielding response.…”
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A condition diagnosis method for subway track structures employing distributed optical fiber sensing by Hong Han, Xiaopei Cai, Liang Gao

“…Through spatial correlation analysis of the strain of symmetric measuring points, the Mahalanobis distance of the predicted residual is used as the diagnostic factor to realize accurate identification of the orbital structure state. …”
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The annual dynamic dataset of high-resolution crop water use in China from 1991 to 2019 by Minglei Wang, Wenjiao Shi

“…Firstly, we estimated the yearly crop blue and green water use at the site scale by incorporating more localized input parameters using a dynamic water balance model. Then, the random forest model was combined with site-scale simulation results to generate spatial predictions of blue and green water for each crop from 1991 to 2019. …”
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Analysis of the spatio-temporal variability of spawning mackerel in the Northeast Atlantic by Gersom Costas

“…To achieve this objective, a Random Forest model was used to predict the presence of mackerel eggs based on temporal, geographical, and environmental variables. …”
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Inonotus obliquus (chaga) ameliorates folic acid-induced renal fibrosis in mice: the crosstalk analysis among PT cells, macrophages and T cells based on single-cell sequencing by Yueling Peng, Yaling Zhang, Yaling Zhang, Rui Wang, Xinyu Wang, Xingwei Liu, Hui Liao, Rongshan Li

“…We used single-cell RNA sequencing to study cellular responses in a mouse model of folic acid-induced renal fibrosis, complemented by spatial transcriptomics to map cellular location patterns. …”
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Pathway for Renewable Energy Application in Urban Green Space under the Low Carbon Perspective by Kailun WANG, Tonggang NIU, Lian LIU, Zhongjie WANG

“…The case studies are systematically analyzed to summarize key aspects including renewable energy technology selection, spatial distribution, landscape integration models, and operational management approaches. …”
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Environment-assisted quantum transport of excitons in perovskite nanocrystal superlattices by Daria D. Blach, Victoria A. Lumsargis-Roth, Chern Chuang, Daniel E. Clark, Shibin Deng, Olivia F. Williams, Christina W. Li, Jianshu Cao, Libai Huang

“…Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.…”
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Observed Tightening of Tropical Ascent in Recent Decades and Linkage to Regional Precipitation Changes by Hui Su, Longtao Wu, Chengxing Zhai, Jonathan H. Jiang, J. David Neelin, Yuk L. Yung

“…Abstract Climate models predict that the tropical ascending region should tighten under global warming, but observational quantification of the tightening rate is limited. …”
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The potential spatiotemporal distribution patterns of Avena nuda and Avena sativa from global perspective provide new insights for the cultivation of commonly cultivated oats by Huanhuan Lu, Yuying Zheng, Ting Zhao, Liuban Tang, Fan Zhang, Wengang Xie

“…This study comprehensively collected the geographic distribution and environmental data of A. nuda and A. sativa from global regions, the ensembled niche and Marxan model were used to predict the potential spatiotemporal distribution and planting pattern of commonly cultivated oats, and further explore the environmental factors that affected the spatial distribution and genetic diversity pattern. …”
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Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach by John Mugabe, Mariusz Wisniewski, Adolfo Perrusquía, Weisi Guo

“…To this end, we aim to combine the strengths of both spatial and temporal deep learning models and classic computer stereo vision to (1) estimate the depth of UAVs, (2) predict potential collisions with other UAVs in the sky, and (3) provide alerts for the pilot with regards to the drone that is likely to collide. …”
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SA-I Mechanoreceptor Position in Fingertip Skin May Impact Sensitivity to Edge Stimuli by Gregory J. Gerling

“…The second result was that both models were equally capable of predicting the spatial structure within the in vivo neural responses, and therefore the addition of intermediate ridges did not help in differentiating the indenters. …”
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Evaluating the accessibility of collective fixed-route paratransit service in developing cities: A case study of Djibouti by Moktar Ibrahim Omar, Kemal Selçuk Öğüt

“…It correlates the decrease in accessibility based on walking time with the reduction in paratransit ridership. To assess the impact of waiting time, the model compares an acceptable waiting time (5 min) with the average waiting time of the service. …”
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Assessing Rainfall Erosivity with Artificial Neural Networks for the Ribeira Valley, Brazil by Reginald B. Silva, Piero Iori, Cecilia Armesto, Hugo N. Bendini

“…Soil loss is one of the main causes of pauperization and alteration of agricultural soil properties. Various empirical models (e.g., USLE) are used to predict soil losses from climate variables which in general have to be derived from spatial interpolation of point measurements. …”
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A novel method for grading urban socio-economic development levels based on NTL data and Landsat data by Xiang Hua, Jiehai Cheng, Yuke Meng, Rongji Luo

“…Experimental results demonstrate that the proposed hybrid model achieves strong performance in predicting urban socio-economic development levels, with an accuracy of 86.2%. …”
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Tooth segmentation in panoramic dental radiographs using deep convolution neural network -Insights from subjective analysis by Suvarna Bhat, Gajanan K. Birajdar, Mukesh D. Patil

“…Also, a subjective analysis of the model’s predicted mask output from the practitioners is carried out. …”
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X-FuseRLSTM: A Cross-Domain Explainable Intrusion Detection Framework in IoT Using the Attention-Guided Dual-Path Feature Fusion and Residual LSTM by Adel Alabbadi, Fuad Bajaber

“…The model predictions are explained using the XAI techniques. …”
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Scale-dependent effects of tree species diversity on soil erosion resistance by Huaqing Liu, Xiaodong Gao, Xining Zhao

“…However, the understanding of the effects of tree species diversity on soil erodibility across spatial scales remains incomplete. This study employed the Universal Soil Loss Equation model to quantify soil erodibility and aligned it with tree species diversity data obtained from the Global Forest Biodiversity Initiative database. …”
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