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  1. Article: A multi-level exploration of the relationship between temperature and species diversity: Two cases of marine phytoplankton.

    Gao, Junfeng / Su, Qiang

    Ecology and evolution

    2022  Volume 12, Issue 12, Page(s) e9584

    Abstract: The relationship between temperature ( ...

    Abstract The relationship between temperature (
    Language English
    Publishing date 2022-12-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2635675-2
    ISSN 2045-7758
    ISSN 2045-7758
    DOI 10.1002/ece3.9584
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Atomic insight into the effects of precursor clusters on monolayer WSe

    Zhang, Yanxue / Chang, Yuan / Zhao, Luneng / Liu, Hongsheng / Gao, Junfeng

    Nanoscale

    2024  Volume 16, Issue 5, Page(s) 2391–2401

    Abstract: Two-dimensional (2D) transition metal dichalcogenides (TMDCs) have been attracting much attention due to their rich physical and chemical properties. At the end of the chemical vapor deposition growth of 2D TMDCs, the adsorption of excess precursor ... ...

    Abstract Two-dimensional (2D) transition metal dichalcogenides (TMDCs) have been attracting much attention due to their rich physical and chemical properties. At the end of the chemical vapor deposition growth of 2D TMDCs, the adsorption of excess precursor clusters onto the sample is unavoidable, which will have significant effects on the properties of TMDCs. This is a concern to the academic community. However, the structures of the supported precursor clusters and their effects on the properties of the prepared 2D TMDCs are still poorly understood. Herein, taking monolayer WSe
    Language English
    Publishing date 2024-02-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr05562k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: A raster-based estimation of watershed phosphorus load and its impacts on surrounding rivers based on process-based modelling.

    Li, Qi / Huang, Jiacong / Zhang, Jing / Gao, Junfeng

    Journal of environmental management

    2023  Volume 339, Page(s) 117846

    Abstract: Quantifying phosphorus (P) load from watersheds at a fine scale is crucial for studying P sources in lake or river ecosystems; however, it is particularly challenging for mountain-lowland mixed watersheds. To address this challenge, we proposed a ... ...

    Abstract Quantifying phosphorus (P) load from watersheds at a fine scale is crucial for studying P sources in lake or river ecosystems; however, it is particularly challenging for mountain-lowland mixed watersheds. To address this challenge, we proposed a framework to estimate the P load at the grid scale and assessed its risk to surrounding rivers in a typical mountain-lowland mixed watershed (Huxi Region in Lake Taihu Basin, China). The framework coupled three models: the Phosphorus Dynamic model for lowland Polder systems (PDP), the Soil and Water Assessment Tool (SWAT), and the Export Coefficient Model (ECM). The coupled model performed satisfactory for both hydrological and water quality variables (Nash-Sutcliffe efficiency >0.5). Our modelling practice revealed that polder, non-polder, and mountainous areas had P load of 211.4, 437.2, and 149.9 t yr
    MeSH term(s) Environmental Monitoring ; Water Pollutants, Chemical/analysis ; Ecosystem ; Phosphorus/analysis ; Rivers
    Chemical Substances Water Pollutants, Chemical ; Phosphorus (27YLU75U4W)
    Language English
    Publishing date 2023-04-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117846
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Robust electronic properties of monolayer BeO against molecule adsorption.

    Liu, Hongsheng / Ksenevich, Vitaly / Zhao, Jijun / Gao, Junfeng

    Physical chemistry chemical physics : PCCP

    2023  Volume 25, Issue 12, Page(s) 8853–8860

    Abstract: The stability of two-dimensional (2D) materials upon exposure to ambient conditions is significant for their applications. In this paper, the air stability of the BeO monolayer with and without vacancy defects is carefully ... ...

    Abstract The stability of two-dimensional (2D) materials upon exposure to ambient conditions is significant for their applications. In this paper, the air stability of the BeO monolayer with and without vacancy defects is carefully studied
    Language English
    Publishing date 2023-03-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d2cp05980k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Multiscale spatial relationship-based model for predicting bladder wall dose in pelvic radiotherapy.

    Gao, Xiang / Ge, Lei / Gao, Junfeng / Cao, Zheng

    Journal of applied clinical medical physics

    2023  Volume 25, Issue 2, Page(s) e14153

    Abstract: Purpose: This research aimed to develop a prediction model to assess bladder wall dosimetry during radiotherapy for patients with pelvic tumors, thereby facilitating the refinement and evaluation of radiotherapy treatment plans to mitigate bladder ... ...

    Abstract Purpose: This research aimed to develop a prediction model to assess bladder wall dosimetry during radiotherapy for patients with pelvic tumors, thereby facilitating the refinement and evaluation of radiotherapy treatment plans to mitigate bladder toxicity.
    Methods: Radiotherapy treatment plans of 49 rectal cancer patients and 45 gynecologic cancer patients were collected, and multiple linear regression analyses were used to generate prediction models for bladder wall dose parameters (
    Results: Models derived from individual disease data outperformed those derived from combined datasets. Predicted bladder wall dose parameters were accurate, with the majority of initial calculated values for new patients falling within the 95% confidence interval of the model predictions. There was a robust correlation between the predicted and actual dose metrics, with a correlation coefficient of 0.943. Using the predicted values to optimize treatment plans significantly reduced bladder wall dose (p
    Conclusion: The formulated prediction model provides a valuable tool for predicting and minimizing bladder wall dose and for optimizing and evaluating radiotherapy treatment plans for pelvic tumor patients. This approach holds promise for reducing bladder toxicity and potentially improving patient outcomes.
    MeSH term(s) Humans ; Female ; Urinary Bladder ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Conformal ; Radiotherapy, Intensity-Modulated
    Language English
    Publishing date 2023-09-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2010347-5
    ISSN 1526-9914 ; 1526-9914
    ISSN (online) 1526-9914
    ISSN 1526-9914
    DOI 10.1002/acm2.14153
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A raster-based estimation of watershed phosphorus load and its impacts on surrounding rivers based on process-based modelling

    Li, Qi / Huang, Jiacong / Zhang, Jing / Gao, Junfeng

    Journal of Environmental Management. 2023 Aug., v. 339 p.117846-

    2023  

    Abstract: Quantifying phosphorus (P) load from watersheds at a fine scale is crucial for studying P sources in lake or river ecosystems; however, it is particularly challenging for mountain–lowland mixed watersheds. To address this challenge, we proposed a ... ...

    Abstract Quantifying phosphorus (P) load from watersheds at a fine scale is crucial for studying P sources in lake or river ecosystems; however, it is particularly challenging for mountain–lowland mixed watersheds. To address this challenge, we proposed a framework to estimate the P load at the grid scale and assessed its risk to surrounding rivers in a typical mountain–lowland mixed watershed (Huxi Region in Lake Taihu Basin, China). The framework coupled three models: the Phosphorus Dynamic model for lowland Polder systems (PDP), the Soil and Water Assessment Tool (SWAT), and the Export Coefficient Model (ECM). The coupled model performed satisfactory for both hydrological and water quality variables (Nash–Sutcliffe efficiency >0.5). Our modelling practice revealed that polder, non-polder, and mountainous areas had P load of 211.4, 437.2, and 149.9 t yr⁻¹, respectively. P load intensity in lowlands and mountains was 1.75 and 0.60 kg ha⁻¹ yr⁻¹, respectively. A higher P load intensity (>3 kg ha⁻¹ yr⁻¹) was mainly observed in the non-polder area. In lowland areas, irrigated cropland, aquaculture ponds and impervious surfaces contributed 36.7%, 24.8%, and 25.8% of the P load, respectively. In mountainous areas, irrigated croplands, aquaculture ponds, and impervious surfaces contributed 28.6%, 27.0%, and 16.4% of the P load, respectively. Rivers with relatively high P load risks were mainly observed around big cities during rice season, owing to a large contribution of P load from the non-point source pollution of urban and agricultural activities. This study demonstrated a raster-based estimation of watershed P load and their impacts on surrounding rivers using coupled process-based models. It would be useful to identify the hotspots and hot moments of P load at the grid scale.
    Keywords Soil and Water Assessment Tool model ; aquaculture ; basins ; cropland ; dynamic models ; environmental management ; lakes ; mountains ; nonpoint source pollution ; phosphorus ; polders ; rice ; risk ; rivers ; water quality ; watersheds ; China ; Mountain ; Lowland ; Non-point source pollution ; Phosphorus load risk
    Language English
    Dates of publication 2023-08
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117846
    Database NAL-Catalogue (AGRICOLA)

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  7. Book ; Online: PLLaMa

    Yang, Xianjun / Gao, Junfeng / Xue, Wenxin / Alexandersson, Erik

    An Open-source Large Language Model for Plant Science

    2024  

    Abstract: Large Language Models (LLMs) have exhibited remarkable capabilities in understanding and interacting with natural language across various sectors. However, their effectiveness is limited in specialized areas requiring high accuracy, such as plant science, ...

    Abstract Large Language Models (LLMs) have exhibited remarkable capabilities in understanding and interacting with natural language across various sectors. However, their effectiveness is limited in specialized areas requiring high accuracy, such as plant science, due to a lack of specific expertise in these fields. This paper introduces PLLaMa, an open-source language model that evolved from LLaMa-2. It's enhanced with a comprehensive database, comprising more than 1.5 million scholarly articles in plant science. This development significantly enriches PLLaMa with extensive knowledge and proficiency in plant and agricultural sciences. Our initial tests, involving specific datasets related to plants and agriculture, show that PLLaMa substantially improves its understanding of plant science-related topics. Moreover, we have formed an international panel of professionals, including plant scientists, agricultural engineers, and plant breeders. This team plays a crucial role in verifying the accuracy of PLLaMa's responses to various academic inquiries, ensuring its effective and reliable application in the field. To support further research and development, we have made the model's checkpoints and source codes accessible to the scientific community. These resources are available for download at \url{https://github.com/Xianjun-Yang/PLLaMa}.

    Comment: Work in progress
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Computational Engineering ; Finance ; and Science ; Computer Science - Machine Learning
    Subject code 501
    Publishing date 2024-01-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Transition metal small clusters anchored on biphenylene for effective electrocatalytic nitrogen reduction.

    Gao, Yan / Li, Qingchen / Yin, Zhilii / Wang, Haifeng / Wei, Zhong / Gao, Junfeng

    Physical chemistry chemical physics : PCCP

    2024  Volume 26, Issue 8, Page(s) 6991–7000

    Abstract: The synthesis of ... ...

    Abstract The synthesis of ammonia
    Language English
    Publishing date 2024-02-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 1476244-4
    ISSN 1463-9084 ; 1463-9076
    ISSN (online) 1463-9084
    ISSN 1463-9076
    DOI 10.1039/d3cp05763a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Hydro-meteorological factors and inflowing nutrients drive water quality in an impounded lake of China's South-to-North Water Diversion Project.

    Zhang, You / Gao, Mingyuan / Liu, Rongkun / Cai, Ping / Gao, Junfeng / Li, Kuanyi / Cai, Yongjiu

    Environmental science and pollution research international

    2024  

    Abstract: Freshwater lakes play a vital role in global hydrological and biogeochemical cycles, serving various functions and maintaining ecological balance. However, freshwater resources are more vulnerable to deterioration due to multiple stressors. Gaoyou Lake ... ...

    Abstract Freshwater lakes play a vital role in global hydrological and biogeochemical cycles, serving various functions and maintaining ecological balance. However, freshwater resources are more vulnerable to deterioration due to multiple stressors. Gaoyou Lake is one of the impounded lakes of the Eastern route of South-to-North Water Diversion Project in China, and as an important source of drinking water, the lake has been routinely monitored. Long-term monitoring of water quality in Gaoyou Lake showed that concentrations of nutrients and chlorophyll a as well as trophic state in the water column increased while water transparency decreased, indicating that the water quality has declined during the last 12 years. Specifically, there was a notable and statistically significant increase in chlorophyll a concentrations, averaging an annual rate of 9.9%. Despite a slight decline in trophic level index until 2014, subsequent years saw an upward trend, ranging from 50.7 to 56.4 and indicating a light eutrophic state. Spatially, the western area displayed higher nutrient and chlorophyll a concentrations. Changes in hydro-meteorological variables and nutrients from inflowing rivers were the main factors correlated with water quality in Gaoyou Lake. Thus, pollution source apportionment and management within Huaihe River basin should be considered to reduce the external loadings of nutrients in order to improve and sustain long-term water quality.
    Language English
    Publishing date 2024-03-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-33028-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Evaluating the complementary relationship to calculate evapotranspiration by using multiple models in a humid lowland region, Southeast China

    Yan, Renhua / Gao, Junfeng

    Agricultural and forest meteorology. 2021 Nov. 15, v. 310

    2021  

    Abstract: The complementary relationship (CR) of evapotranspiration is of utmost importance for evapotranspiration estimation using only routine meteorological data in humid lowland areas in Southeast China, which are characterized by subtropical monsoons and ... ...

    Abstract The complementary relationship (CR) of evapotranspiration is of utmost importance for evapotranspiration estimation using only routine meteorological data in humid lowland areas in Southeast China, which are characterized by subtropical monsoons and dense river networks. This study evaluated the performance of five CR-based evapotranspiration models, namely, the advection‐aridity (AA), Granger and Gray (GG), B2015, H2018, and C2018 models, and the asymmetry in the CR between the actual evapotranspiration (ETₐ) and apparent potential evapotranspiration (ETₚₐ), based on four years of measured data. The results indicated that the C2018(TW₁) model with a simple structure is the best choice (among the models considered) when no calibration is feasible. After calibration, most of the models showed an excellent agreement with observations with NSE ≥ 0.89 and R²≥ 0.91 at the daily and monthly timescales. The H2018 model achieved a superior performance to that of the other models at the daily and monthly scales. A significantly asymmetric CR was observed between daily ETₐ and ETₚₐ values, and scatter points were clustered within the 0.7–1 humidity range (ETₐ/ETₚₐ).
    Keywords asymmetry ; evapotranspiration ; forests ; humidity ; meteorological data ; meteorology ; models ; rivers ; China
    Language English
    Dates of publication 2021-1115
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 409905-9
    ISSN 0168-1923
    ISSN 0168-1923
    DOI 10.1016/j.agrformet.2021.108645
    Database NAL-Catalogue (AGRICOLA)

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