The dynamic evolution mechanism of liquefied natural gas trade dependency networks: International implications of the Russia-Ukraine conflict by Wei Cui, Dongxue Wu, Qichao Huang, Senzhong Yang

“…It is found that driven by global events such as the COVID-19 pandemic and the Russia-Ukraine conflict, the LNG trade network exhibits a more cohesive and efficient structure. Major importing countries diversify risks and strengthen supply chain resilience by improving network density and clustering coefficient. …”
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Long-Term Variability of Phytoplankton Size Classes in the Littoral Seas of Korea Using Deep Neural Networks and Satellite Data by Hyo-Keun Jang, Changsin Kim, Seok-Hyun Youn, Jae-Joong Kang, Hwaeun Jung, Huitae Joo

“…The increasing dominance of smaller phytoplankton may reduce primary production, alter food web structure, and ultimately diminish fishery productivity. …”
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Comprehensive characterization of multi-omics landscapes between gut microbial metabolites and the druggable genome in sepsis by Jun Liu, Tong Li, Li Xin, Xingyu Li, Jianbo Zhang, Peng Zhu

“…Emerging evidence implicates gut microbial metabolites in modulating host immunity, but the specific interactions between these metabolites and host druggable targets remain poorly understood.MethodsWe utilized a systems biology framework integrating genetic analyses, multi-omics profiling, and structure-based virtual screening to systematically map the interaction landscape between human gut microbial metabolites and druggable G-protein-coupled receptors (GPCRs), ion channels (ICs), and kinases (termed the “GIKome”) in sepsis. …”
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation by Sixuan Wu, Yuanbin Tang, Qihong Pan, Yaqin Zheng, Yeru Tan, Junfan Pan, Yuehua Li

“…Abstract Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure and generally poor prognosis. The aim of this study was to find diagnostic markers and therapeutic targets for LUAD by integrating differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning methods. …”
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Simulating responses of riparian ecosystem network complexity to flow regime shifts in arid regions by Mengmeng Zhang, Chengyi Zhao, Jianting Zhu, Wangya Han, Wenqi Jiang

“…Notably, the keystone status of species within the flow regime influences the network structure. With reduced flooding and more homogeneous flow, the keystone roles shift from trees and shrubs to herbs. …”
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Cognitive impairment following maternal separation in rats mediated by the NAD+/SIRT3 axis via modulation of hippocampal synaptic plasticity by Keke Hao, Fashuai Chen, Shilin Xu, Ying Xiong, Rui Xu, Huan Huang, Chang Shu, Yisheng Lv, Gaohua Wang, Huiling Wang

“…However, there is limited understanding of the molecular mechanisms regulating mitochondria in neural circuits that govern cognitive impairment relevant to schizophrenia, and their impact on neuronal structure and function. A 24-h MS rat model was utilized to simulate features associated with schizophrenia. …”
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3D reconstruction of fruit trees and fruit semantic segmentation based on NeRF and improved RandLA-Net by Dacheng YANG, Jun GUO, Jing YANG, Yali ZHANG, Yubin LAN

“…The improved segmentation network was verified using the citrus fruit tree dataset.Result The results showed that the proposed method could effectively reconstruct the 3D structure of fruit tree. The average intersection over union (mIoU) of the improved network increased by 2.64 percentage points, and the intersection over union (IoU) of the fruit increased by 7.33 percentage points, verifying the practicality of this method in the scenario of smart orchards. …”
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Two-Stage Optimal Operation Strategy for Large-Scale Energy Bases Under the Joint Market Trading of Electricity， Carbon， and Green Certificates by JIANG Weiyong, XIAO Yunpeng, YI Haiqiong, ZHAO Lang, WANG Xueying, XIN Chaoshan, HU Zhiyun, XIE Hongtao, ZHANG Xinhua

“…[Conclusions] Based on the balanced interests of all trading entities， a large energy base achieves an effective balance between economy and low carbon emissions and realizes the goals of carbon emission reduction and energy structure adjustment.…”
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The joint impact of road density and width on road network performances —a simulation approach based on macroscopic fundamental diagram by Yingying Ma, Wenyi Xie, Xiaoran Qin, Zebang Liang, Ziyan Guan

“…By controlling for heterogeneity in road network structure and variables such as network size, road area ratio, and traffic input, we ensured effective comparison of simulation results. …”
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Preparation and characterization of sulfonated polystyrene/magnetite nanocomposites for organic dye adsorption by A.M. Al-Sabagh, Y.M. Moustafa, A. Hamdy, H.M. Killa, R.T.M. Ghanem, R.E. Morsi

“…Magnetite nanoparticles (MNPs) were prepared by co-precipitation method and were found to have average size of 5 nm with spherical shape crystalline structure with super-magnetic properties. Commercial polystyrene (PS) was sulfonated through the reaction with freshly prepared acetyl sulfate. …”
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Psychological Network Analysis for Risk and Protective Factors of Problematic Social Media Use by Suzan M. Doornwaard, Vladimir Hazeleger, Ina M. Koning, Albert Ali Salah, Sven Vos, Regina J. J. M. van den Eijnden

“…Previous research has examined risk and protective factors using theory-driven (confirmatory-explanatory) approaches, such as regression models. However, few studies have simultaneously considered personal, peer, and parent characteristics to assess their relative contributions, and none have explored how these factors are structurally interrelated using data-driven (inductive–exploratory) approaches. …”
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MFGC-Net: Bridging and Fusing Multiscale Features and Global Contexts for Multitask Sea Ice Fine Segmentation by Tianen Ma, Xinwei Chen, Linlin Xu, Pengfei Ma, Peilin Yu

“…To address this limitation, we proposed a novel encoder–decoder structure network for multitask sea ice segmentation. …”
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Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMs by Lexin Cao, Lijun Quan, Qiufeng Chen, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

“…Abstract Missense mutations can disrupt the structure and function of membrane proteins, potentially impairing key biological processes and leading to various human diseases. …”
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The Purpri Fault: A newly identified active fault in East Kolaka, Indonesia, based on HypoDD and DInSAR by Purba Joshua, Priadi Ramadhan, Frando Muhammad, Pertiwi Imanuela Indah

“…The relocation of 233 seismic events from January 24 to February 7, 2025, revealed a fault structure distinct from the Middle Kolaka and North Kolaka Faults, characterized by an oblique‐normal faulting mechanism with a left‐lateral component. …”
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Factors influencing the combined performance of hot-rolled bimetallic composite plates prepared via hot compression by QIN Qin, DENG Jun-chao, ZANG Yong, XIE Lu, ZHU Xue-hui

“…The hot-compression process of the 316L/Q345R system was simulated on its atom structure model. The potential functions of the embedded-atom method were employed to describe the interaction between Fe, Cr, and Ni. …”
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High-Performance Identification and Control of MIMO (Multiple Input—Multiple Output) Experimental Module with Fractional-Order Approach Application by Alexandre Marques de Almeida, Alisson Luan Daga, Rafael Palma Setti Penteado Lanzarini, Ervin Kaminski Lenzi, Marcelo Kaminski Lenzi

“…Without the need for explicit decouplers, the decentralized FOPI-PSO control structure demonstrated effective handling of interactions between the temperature and humidity control loops, simplifying the control design while maintaining performance. …”
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FAM46C Expression Sensitizes Multiple Myeloma Cells to PF-543-Induced Cytotoxicity by Annarita Miluzio, Federica De Grossi, Marilena Mancino, Stefano Biffo, Nicola Manfrini

“…Sphingosine kinases (SphK1 and SphK2) are key regulators of sphingolipid signaling, a pathway essential for maintaining cell structure and function but frequently deregulated in tumors, making them promising targets for cancer therapy. …”
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An UNet3+ Network based on global pyramid aggregation for change detection in optical remote-sensing imagesGosNIIASLEarning, VIsion and Remote sensing laboratory by Yanbo Sun, Wenxing Bao, Wei Feng, Kewen Qu, Xuan Ma, Xiaowu Zhang

“…First, to address this challenge and address these issues, this work proposes a global pyramid aggregation UNet3+ (GPA-UNet3+) change detection model, that uses UNet3+ as the backbone network and connects the encoder and decoder with a pyramid structure. …”
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Harmonic Enhancement of Terahertz GaN Planar Gunn Oscillators With Multiple Gates by Ying Wang, Shuai Hui, Yu-Xin Fu, Yuan-Zhu Xia, He Guan

“…The tri-gate device operating in tri-domain mode further enhances the third harmonic to 417.0 GHz, with 9.57 mW of power and 9.23% efficiency. The multi-gate structure allows for more efficient harmonic generation, greater frequency tunability, and better power management, all of which are crucial for advanced terahertz application such as mixing, frequency multiplexing, and signal amplification.…”
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Elemental Abundances at Coronal Hole Boundaries as a Means to Investigate Interchange Reconnection and the Solar Wind by Alexandros Koukras, Daniel W. Savin, Michael Hahn

“…To account for the temperature structure of the observed region, we computed the differential emission measure (DEM). …”
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