A5082169968- Plant Water Relations and Carbon Dynamics
- Advanced MIMO Systems Optimization
- Ecology and Vegetation Dynamics Studies
- IoT Networks and Protocols
- Soil Carbon and Nitrogen Dynamics
- Species Distribution and Climate Change
- Plant and animal studies
- Energy Harvesting in Wireless Networks
- Land Use and Ecosystem Services
- Advancements in Battery Materials
- Age of Information Optimization
- IoT and Edge/Fog Computing
- Remote Sensing in Agriculture
- Optical Network Technologies
- Climate change and permafrost
- Wireless Body Area Networks
- Supercapacitor Materials and Fabrication
- Advanced Fiber Optic Sensors
- Advanced battery technologies research
- Forest, Soil, and Plant Ecology in China
- 2D Materials and Applications
- Photonic and Optical Devices
- Bioenergy crop production and management
- Hydrology and Watershed Management Studies
- Soil Geostatistics and Mapping
Northwest A&F University
2023-2024
Jinan University
2022-2024
Xi'an University of Architecture and Technology
2024
Sun Yat-sen University
2016-2024
Beijing Normal University
2024
Nanjing Normal University
2024
Northwest Institute of Mechanical and Electrical Engineering
2023
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2022-2023
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2022-2023
South China Normal University
2018-2020
A new type of ultrafast Ni//Bi battery with high flexibility and impressive electrochemical performance is demonstrated for the first time based on an as-prepared Bi electrode as anode a NiCo2O4 nanowire cathode. The NiCo2O4//Bi able to deliver remarkable energy density 85.8 W h kg−1 at power 1.02 kW kg−1, still retains 55.4 when increased 21.2 kg−1. As service our authors readers, this journal provides supporting information supplied by authors. Such materials are peer reviewed may be...
Abstract To achieve high‐energy and stable aqueous rechargeable batteries, state‐of‐the art of anode materials are needed. Bismuth (Bi) has recently emerged as an attractive material due to its highly reversible redox reaction suitable negative operating working window. However, the capacity durability currently reported Bi anodes still far from satisfactory. Here, in situ activation strategy is prepare a 3D porous high‐density nanoparticles/carbon architecture (P–Bi–C) efficient for...
Vegetation growth is sensitive to climate change. The complex types of China pose great challenges the sustainable management vegetation on global Therefore, this study used Enhanced Index (EVI) as an indicator explore spatiotemporal dynamics and their driving factors in different climatic zones provide theoretical support for future. results showed that exhibited considerable clustering patterns country, with high low values concentrated eastern western regions, respectively. From 2001...
Mobile crowdsensing (MCS) is an appealing sensing paradigm that leverages the capabilities of smart devices and inherent mobility device owners to accomplish tasks with aim constructing powerful industrial systems. Incentivizing mobile users (MUs) participate in activities contribute high-quality data paramount importance success MCS services. In this article, we formulate competitive interactions between a platform (SP) MUs as multistage Stackelberg game SP leader player followers. Given...
Ultrareliable and low-latency communication (URLLC) is a prerequisite for the successful implementation of Internet Controllable Things. In this article, we investigate potential deep reinforcement learning (DRL) joint subcarrier-power allocation to achieve low latency high reliability in general form device-to-device (D2D) networks, where each subcarrier can be allocated multiple D2D pairs pair permitted utilize subcarriers. We first formulate above problem as Markov decision process then...
Graphene-based materials have been extensively investigated in the energy-related applications owing to their unique properties, such as high conductivity and mechanical flexibility. Three-dimensional (3D) graphene architectures could further strengthen performance facilitate energy storage. To fabricate 3D architectures, rapidly developed printing technology presents a lot of advantages has received much research attention. In this paper, we reviewed recent advances graphene-based discussed...
Evapotranspiration (E), a pivotal phenomenon inherent to hydrological and thermal dynamics, assumes position of utmost importance within the intricate framework water–energy nexus. However, quantitative study E on large scale for “Grain Green” projects under backdrop climate change is still lacking. Consequently, this examined interannual variations spatial distribution patterns E, transpiration (Et), soil evaporation (Eb) in Northern Foot Yinshan Mountain (NFYM) between 2000 2020 quantified...
Multi-access edge computing (MEC) and ultra-dense networking (UDN) are recognized as two promising paradigms for future mobile networks that can be utilized to improve the spectrum efficiency quality of computational experience (QoCE) . In this paper, we study task offloading problem in an MEC-enabled UDN architecture with aim minimize duration while satisfying energy budget constraints. Due dynamics associated environment parameter uncertainty, designing optimal algorithm is highly...
Tailoring straw return strategies to specific regional conditions can optimize soil health, enhance crop yields, and contribute climate change mitigation. By using the Rothamsted carbon model (RothC) bioenergy-emission-economic (BEE), we assessed spatially explicit, optimal harvest maintain organic (SOC), evaluated benefits aquired from straw-based bioenergy. We found that national average rate needs reach 43% meet 4 per mille SOC target. Most straws in Northeast China must be returned...
Abstract Two-dimensional (2D) materials exhibit fascinating and outstanding optoelectronic properties, laying the foundation for development of novel devices. However, ultra-weak light absorption 2D limits performance Here, a structure MoS 2 /graphene/Au integrated onto side-polished fiber (SPF) is proposed to achieve high-performance fiber-integrated multifunction-in-one device. It found that device can absorb transverse magnetic (TM) mode guided in SPF generate photocurrents as...
Abstract Functional traits play a vital role in mediating the responses of ecosystem services to environmental changes and predicting functioning ecosystem. However, connection between functional has become increasingly intricate due climate change human activities for degraded ecosystems. To investigate this relationship, we selected 27 sampling sites Yanhe River Basin Chinese Loess Plateau, each containing two types vegetation ecosystems: natural artificial At site, measured calculated...
Lateral momentum conservation is typically kept in a non-absorptive rotationally symmetric system through mirror symmetry via Noether's theorem when illuminated by homogeneous light wave. Therefore, it still very challenging to break the and generate lateral optical force (LOF) system. Here, we report general dynamic action SO(2) system, originating from polarization-tuned breaking (MSB) of scattering. We demonstrate theoretically experimentally that MSB can be generally applied tuned...
Abstract. Globally, soil is one of the largest terrestrial carbon reservoirs, with organic (SOC) regulating overall dynamics. Robust quantification SOC stocks in existing global observation-based estimates avails accurate predictions climate feedbacks and future trends. In this study, we investigated regional estimates, based on five widely used gridded datasets (HWSD, WISE30sec, GSDE, SoilGrids250m, GSOCmap), a permafrost dataset from Mishra et al. (UM2021), global-scale profile database...
Device-to-device communications underlaying cellular networks have been recognized as one of the key technologies for fifth generation (5G) system to improve spectrum efficiency and capacity. In this paper, we investigate potential deep reinforcement learning (DRL) joint subcarrier assignment power allocation in a general form D2D networks, where can be assigned multiple pairs each pair is permitted utilize subcarriers. We first formulate above problem Markov decision process, then propose...
Vegetation net primary productivity (NPP) serves as a crucial and intuitive indicator for assessing ecosystem health. However, the nonlinear dynamics influencing factors operating at various time scales are not yet fully understood. Here, ensemble empirical mode decomposition (EEMD) method was used to analyze spatiotemporal patterns of NPP its association with hydrothermal anthropogenic activities across different temporal Yellow River Basin (YRB) from 2000 2020. The results indicate that:...
A computation-intensive graph task comprises a set of tasks and corresponding data flows between adjacent tasks. In this paper, we consider mobile edge computing (MEC) system based on vehicle-to-everything (V2X) communication in which each initiator (TI) generates offloads correlated to different executors (TEs). We formulate the assignment problem as mixed-integer nonlinear programming (MINLP) minimize weighted sum time-energy consumption (WETC). Due data-flow dependency time-varying...
Grasslands, a vital ecosystem and component of the global carbon cycle, play significant role in evaluating health monitoring balance. In this study, based on Carnegie–Ames–Stanford Approach (CASA) model, we estimated Net Primary Productivity (NPP) grasslands northern Shaanxi from 2000 to 2020. Employing trend analysis, stability multiple regression residual research examined dynamic changes grassland NPP its response climatic human factors. Key findings include: (1) Grassland showed...