Explanipedia

Substrate Heating and Multi-Stage Low-Temperature Annealing for High-Performance Indium-Oxide Thin-Film Transistors and Phototransistors Open

Qianqian Chen, Shijie Jiang, Ruixiao Li, Xiao‐Jian She · 2025

In recent years, indium-oxide thin-film transistors (IOTFTs) have been developed with high electron mobility, low power consumption, and good environmental stability. A major challenge in current IOTFTs research lies in developing high-per…

DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data Open

Shuo Shi, Jin Zhang, Shijie Jiang, Chunyi Zhou, Yuyuan Li · 2025

Dataset distillation (DD) compresses large datasets into smaller ones while preserving the performance of models trained on them. Although DD is often assumed to enhance data privacy by aggregating over individual examples, recent studies …

Spatiotemporal dynamics of active root zone storage revealed from hybrid machine learning Open

Georgios Blougouras, Shijie Jiang, Alexander Brenning, Mirco Migliavacca, Louise Slater , et al. · 2025

AN EFFECTIVE TOOL TO HELP TEENAGERS RECOGNIZE EMOTIONAL HEALTH AT AN EARLY AGE USING BIG DATA ANALYSIS AND OBSERVATIVE JOURNALS Open

Shijie Jiang, Rodrigo Onate · 2025

This paper discusses how children's low emotional literacy showed as a major issue that traditional mental health services ignore and that schools fail to adequately address or educate young age groups to recognize. We suggest SelfGen, a m…

Diverse Environmental Factors Shape Patterns of Terrestrial and Riverine Productivity Decoupling Open

Shengyue Chen, Georgios Blougouras, Elisa Calamita, Sung‐Ching Lee, Brenda Fatecha , et al. · 2025

Synchronization of terrestrial and riverine gross primary productivity (GPP) reflects seasonal coordination of carbon uptake across land–water interfaces. Although watershed processes link terrestrial and aquatic ecosystems, the environmen…

Comprehensive Review of Deep Learning Approaches for Single-Image Super-Resolution Open

Z.Y. Liu, Shijie Jiang, Shuhan Feng, Qirui Song, Ji Zhang · 2025

Single-image super-resolution (SISR) is a core challenge in the field of image processing, aiming to overcome the physical limitations of imaging systems and improve their resolution. This article systematically introduces the SISR method …

Diverse Environmental Factors Shape Patterns of Terrestrial and Riverine Productivity Decoupling Open

Shengyue Chen, Georgios Blougouras, Elisa Calamita, Sung‐Ching Lee, Brenda Fatecha , et al. · 2025

Challenges and opportunities of ML and explainable AI in large-sample hydrology Open

Louise Slater, Georgios Blougouras, Liangkun Deng, Qimin Deng, Emma Ford , et al. · 2025

Machine learning (ML) is a powerful tool for hydrological modelling, prediction, dataset creation and the generation of insights into hydrological processes. As such, ML has become integral to the field of large-sample hydrology, where hun…

A self-supervised deep learning model for enhanced generalization in soil moisture prediction Open

Lijun Wang, Liangsheng Shi, Christian Reimers, Yanling Wang, Leilei He , et al. · 2025

Advancing Evapotranspiration Modeling With Optimized Soil and Canopy Resistance Combinations Open

Jinfeng Zhao, Shikun Sun, Yali Yin, Yihe Tang, Chong Li , et al. · 2025

Dual‐source remotely sensed evapotranspiration (ET) models require accurate separation of soil evaporation (Es), plant transpiration (Ec), and precipitation interception (Ei) based on soil and canopy resistances. Despite the availability o…

Can artificial intelligence be the future solution to the enormous challenges and suffering caused by Schizophrenia? Open

Shijie Jiang, Qiyu Jia, Zhenlei Peng, Qixuan Zhou, Zhiguo An , et al. · 2025

Hydrophilic Sulfonate Covalent Organic Frameworks for Serum Glycopeptide Profiling Open

Shi‐Shu Yang, Yuheng Jiang, Shijie Jiang, Lihong Liu, Si Liu , et al. · 2025

Aberrant protein glycosylation is closely associated with a number of biological processes and diseases. However, characterizing the types of post-translational modifications (PTMs) from the complex biological samples is challenging for co…

Bathing assistive devices and robots for the elderly Open

Jian Li, Yadong Mo, Shijie Jiang, Lifang Ma, Ying Zhang , et al. · 2025

Neurotransmitters crosstalk and regulation in the reward circuit of subjects with behavioral addiction Open

Zhenlei Peng, Qiyu Jia, Junxiong Mao, Xiao Luo, Anqi Huang , et al. · 2025

Behavioral addictive disorders (BADs) have become a significant societal challenge over time. The central feature of BADs is the loss of control over engaging in and continuing behaviors, even when facing negative consequences. The neurobi…

The role of ferroptosis and oxidative stress in cognitive deficits among chronic schizophrenia patients: a multicenter investigation Open

Zhenlei Peng, Qiyu Jia, Junxiong Mao, Shijie Jiang, Qi Ma , et al. · 2025

Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms Open

Shengyue Chen, Jinliang Huang, Jiacong Huang, Peng Wang, Changyang Sun , et al. · 2024

Towards data-driven discovery of governing equations in geosciences Open

Wenxiang Song, Shijie Jiang, Gustau Camps‐Valls, Mathew Williams, Lu Zhang , et al. · 2024

Governing equations are foundations for modelling, predicting, and understanding the Earth system. The Earth system is undergoing rapid change, and the conventional approaches for establishing governing equations, such as empirical general…

A New Criterion for the Splashing of a Droplet on Dry Surface from High-Fidelity Simulations Open

Shijie Jiang, Hongbing Xiong, Baolin Tian, Zhaosheng Yu · 2024

In this study, a new criterion for the splashing of a droplet on a dry smooth surface is established from high-fidelity numerical simulations. The new criterion involves the Weber number, Reynolds number and contact angle. A new splashing …

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences Open

Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li , et al. · 2024

Interpretable Machine Learning (IML) has rapidly advanced in recent years, offering new opportunities to improve our understanding of the complex Earth system. IML goes beyond conventional machine learning by not only making predictions bu…

Applications of Explainable artificial intelligence in Earth system science Open

Feini Huang, Shijie Jiang, Lu Li, Yongkun Zhang, Ye Zhang , et al. · 2024

In recent years, artificial intelligence (AI) rapidly accelerated its influence and is expected to promote the development of Earth system science (ESS) if properly harnessed. In application of AI to ESS, a significant hurdle lies in the i…

Viewing Soil Moisture Flash Drought Onset Mechanism and Their Changes Through XAI Lens: A Case Study in Eastern China Open

Jiajin Feng, Jun Li, Chong‐Yu Xu, Zhaoli Wang, Zhenxing Zhang , et al. · 2024

Soil moisture flash droughts often pose significant challenges to humans and ecosystems, with wide‐ranging socioeconomic consequences. However, the underlying mechanisms of flash droughts and their changes remain unquantified. Taking China…

A CsPbI3/PCBM Phototransistor with Low Dark Current by Suppressing Ion Migration Open

Chenbo Huang, Yichao Yang, Yujie Li, Shijie Jiang, Lurong Yang , et al. · 2024

Perovskite-based metal oxide phototransistors have emerged as promising photodetection devices owing to the superior optoelectronic properties of perovskite materials and the high carrier mobility of metal oxides. However, high dark curren…

Diagnostic performance of PIVKA-II in identifying recurrent hepatocellular carcinoma following curative resection: a retrospective cohort study Open

Wenfeng Zhu, Weilong Wang, Wenjie Zheng, Xiaolong Chen, Xiaowen Wang , et al. · 2024

Protein induced by vitamin K absence or antagonist II (PIVKA-II) plays a critical role in the diagnosis of hepatocellular carcinoma (HCC), however, studies on its efficacy in diagnosing recurrent HCC were rarely found. A multicenter, retro…

Is fracture management merely a physical process? Exploring the psychological effects of internal and external fixation Open

Qiyu Jia, Zhenlei Peng, Anqi Huang, Shijie Jiang, Wen Zhao , et al. · 2024

Distributed Hydrological Modeling With Physics‐Encoded Deep Learning: A General Framework and Its Application in the Amazon Open

Chao Wang, Shijie Jiang, Yi Zheng, Feng Han, Rohini Kumar , et al. · 2024

While deep learning (DL) models exhibit superior simulation accuracy over traditional distributed hydrological models (DHMs), their main limitations lie in opacity and the absence of underlying physical mechanisms. The pursuit of synergies…

Understanding Quasi-Static and Dynamic Characteristics of Organic Ferroelectric Field Effect Transistors Open

Hanjing Ke, Xiaoci Liang, Xiaozhe Yin, Baiquan Liu, Songjia Han , et al. · 2024

Leveraging poly(vinylidene fluoride-trifluoroethylene) [(PVDF-TrFE)] as the dielectric, we fabricated organic ferroelectric field-effect transistors (OFe-FETs). These devices demonstrate quasi-static transfer characteristics that include a…

Compounding effects in flood drivers challenge estimates of extreme river floods Open

Shijie Jiang, Larisa Tarasova, Guo Yu, Jakob Zscheischler · 2024

Estimating river flood risks under climate change is challenging, largely due to the interacting and combined influences of various flood-generating drivers. However, a more detailed quantitative analysis of such compounding effects and th…

Interpretable Machine Learning to Uncover Key Compound Drivers of Hydrological Droughts Open

Georgios Blougouras, Markus Reichstein, Mirco Migliavacca, Alexander Brenning, Shijie Jiang · 2024

Hydrological drought (negative streamflow anomalies) can have significant societal and ecosystem impacts, and understanding its drivers is crucial for interpreting past and present droughts, as well as assessing future drought risk. Howeve…

Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence Open

Feini Huang, Wei Shangguan, Shijie Jiang · 2024

Land-atmosphere coupling (LAC) involves a variety of interactions between the land surface and the atmospheric boundary layer that are critical to are critical to understanding hydrological partitioning and cycling. As climate change conti…

Deep causal learning for soil water dynamics: Exploring latent causality and improving predictive adaptability Open

Lijun Wang, Liangsheng Shi, Wenxiang Song, Leilei He, Yanling Wang , et al. · 2024

Due to its fundamental role in the Earth's hydrological system, understanding and predicting soil water processes has long been important. Rapidly evolving machine learning methods have shown remarkable predictive capabilities, but due to …

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