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  1. Artikel ; Online: Sustainable Development of Business Economy Based on Big Data Algorithm under the Background of Low-Carbon Economy

    Xuefeng Liu / Li Ma

    Sustainability, Vol 15, Iss 5840, p

    2023  Band 5840

    Abstract: After the low-carbon economy (LCE) was proposed, countries all over the world examined their national economic structures and found the necessity for developing a LCE. Therefore, it is necessary to vigorously develop low-carbon technologies and improve ... ...

    Abstract After the low-carbon economy (LCE) was proposed, countries all over the world examined their national economic structures and found the necessity for developing a LCE. Therefore, it is necessary to vigorously develop low-carbon technologies and improve technological and policy innovation capabilities. From the perspective of promoting the coordinated development of the low-carbon economic system and regional sustainable development, this paper conducted an in-depth analysis of the coordinated development of the low-carbon economic system and regional environmental issues by using the relevant theories of sustainable development, low-carbon economics, and environmental economics. The index system of the low-carbon economic system and regional sustainable development was constructed, and the coupling degree model and regional coupling coordination degree model suitable for the development of the low-carbon economic system and regional sustainable development were established. On the basis of analyzing the status quo of a LCE and the environment in a coastal area, it was finally concluded that in the next five years, the value of the coupling coordination degree of the LCE and its sustainable system development would continue to approach 1 and grow steadily.
    Schlagwörter low-carbon economy ; big data algorithm ; business economy ; sustainable development ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: Strategies for Environmental Protection and Optimization of Ecological Business Economic Growth from the Perspective of Sustainable Development

    Li Ma / Xuefeng Liu

    Sustainability, Vol 15, Iss 2758, p

    2023  Band 2758

    Abstract: The concept of ecological commercial economy refers to the use of ecological economics principles and system engineering methods to change production and consumption patterns within the scope of the carrying capacity of the ecosystem in order to tap into ...

    Abstract The concept of ecological commercial economy refers to the use of ecological economics principles and system engineering methods to change production and consumption patterns within the scope of the carrying capacity of the ecosystem in order to tap into all of the available resource potential. It develops some economically developed and ecologically efficient industries and builds a culture with reasonable systems, a harmonious society, and a healthy ecological environment. This paper aims to use deep learning algorithms to study environmental protection and the optimization of ecological business economic growth from the perspective of sustainable development. In this regard, this paper proposes a theoretical model of environmental regulation, which aids in the study of the sustainable development of the ecological economy. Through experimental analysis, this study determined that the non-renewable resources of the two cities designated M and N dropped from 82% and 99% in 2017 to 78% and 79% in 2021, a decrease of 3% and 20%, respectively. This shows that the non-renewable resources of the four cities in area A generally showed a downward trend. The experimental results show that the deep learning theory and the environmental regulation model play a specific and effective role in the researching of the ecological business economy.
    Schlagwörter ecological business economy ; deep learning ; environmental regulation model ; environmental protection ; sustainable development ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: Remote detection of Artemia slicks using multisatellite observations

    Xin Wang / Jingyi Tian / Li Ma / Xianghan Sun / Liqiao Tian

    International Journal of Digital Earth, Vol 17, Iss

    spectral, spatial and temporal considerations

    2024  Band 1

    Abstract: ABSTRACTArtemia has high commercial and ecological value, but few studies have considered the spectral, spatial and temporal requirements of Artemia multisatellite observations. Adopting Landsat-8 OLI and Sentinel-2 MSI as examples, we mainly analyzed ... ...

    Abstract ABSTRACTArtemia has high commercial and ecological value, but few studies have considered the spectral, spatial and temporal requirements of Artemia multisatellite observations. Adopting Landsat-8 OLI and Sentinel-2 MSI as examples, we mainly analyzed and compared their Artemia slick detection performance considering spectral sensitivity, spatial resolution and revisit cycle. First, the NIR bands of both sensors were most sensitive in Artemia slick detection. Second, compared to that of 2 m GF-6 PMS fusion images, the spatial uncertainty of MSI images was approximately ±16% using the brine shrimp index (BSI) to extract Artemia slicks, better than that of OLI images. The OLI and MSI detection limits under ideal conditions were 0.77% and 1.69%, corresponding to the smallest detectable Artemia slick sizes of approximately 6.93 and 1.69 m2. Third, multisatellite observations could improve dynamic Artemia slick monitoring ability. The OLI and MSI combination could enhance the monthly average observation frequency to 6.58 times. Finally, we examined the influences of the selected near-infrared (or red-edge) bands and Artemia slick width on the extraction results and analyzed detection limit changes and sensor consistency through practical considerations. Overall, these findings could provide support for remote Artemia observation, aiding in fishery management, global mapping and biomass estimation.
    Schlagwörter Artemia slick detection ; spectral sensitivity ; spatial detection limit ; Landsat-8 OLI ; Sentinel-2 MSI ; Mathematical geography. Cartography ; GA1-1776
    Thema/Rubrik (Code) 333
    Sprache Englisch
    Erscheinungsdatum 2024-12-01T00:00:00Z
    Verlag Taylor & Francis Group
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Can neurocognition, brain neurotrophic factor, triglyceride, and total cholesterol predict suicidal ideation in first-episode Han Chinese patients with schizophrenia?

    Dongxia, Li / Li, Ma / Yingying, Feng

    Brain and behavior

    2024  Band 14, Heft 5, Seite(n) e3499

    Abstract: Objective: Previous studies have suggested that the suicide rate of patients with schizophrenia is high. This study investigates factors influencing suicidal ideation in first-episode schizophrenia patients, focusing on cognitive function, brain-derived ...

    Abstract Objective: Previous studies have suggested that the suicide rate of patients with schizophrenia is high. This study investigates factors influencing suicidal ideation in first-episode schizophrenia patients, focusing on cognitive function, brain-derived neurotrophic factor (BDNF), triglyceride (TG), and total cholesterol (TC) in patients with first-episode schizophrenia.
    Methods: A total of 123 patients with first-episode schizophrenia and 38 healthy controls were included in the study. The patients were divided into suicidal and nonsuicidal ideation groups based on the Beck Scale for Suicidal Ideation, and they were assessed with Positive and Negative Syndrome Scale (PANSS). Cognitive function was assessed using the Chinese version of the MATRICS consensus cognitive battery (MCCB) and the serum BDNF, TG, and TC were detected. The main statistical methods include t-test, χ
    Results: 26.02% of patients exhibited suicidal ideation. Higher PANSS and TC levels were risk factors, while higher MCCB scores and BDNF levels were protective factors. ROC analysis indicated AUCs of 0.630, 0.724, and 0.762 for serum BDNF, PANSS, and MCCB, respectively, with a combined AUC of 0.870.
    Conclusion: Serum BDNF level, PANSS score, and MCCB score can be used as auxiliary predictors of suicidal ideation in schizophrenic patients. Combining these three indicators can effectively predict suicidal ideation in schizophrenic patients.
    Mesh-Begriff(e) Humans ; Brain-Derived Neurotrophic Factor/blood ; Schizophrenia/blood ; Male ; Female ; Suicidal Ideation ; Adult ; Triglycerides/blood ; Cholesterol/blood ; Young Adult ; China ; Schizophrenic Psychology ; Cognition/physiology ; Risk Factors
    Chemische Substanzen Brain-Derived Neurotrophic Factor ; Triglycerides ; Cholesterol (97C5T2UQ7J) ; BDNF protein, human (7171WSG8A2)
    Sprache Englisch
    Erscheinungsdatum 2024-04-12
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2623587-0
    ISSN 2162-3279 ; 2162-3279
    ISSN (online) 2162-3279
    ISSN 2162-3279
    DOI 10.1002/brb3.3499
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Generation of an induced pluripotent stem cell line (SHCDNi007-A) from a patient with pyruvate carboxylase deficiency carrying compound heterozygous (c.182 T > C/ c.2581G > A) variants in PC

    Jingjing Sun / Pei Lu / Yunlin Shen / Li Ma

    Stem Cell Research, Vol 66, Iss , Pp 102997- (2023)

    1480  

    Abstract: Pyruvate carboxylase (PC) deficiency (PCD), due to biallelic PC variants, is a rare inherited metabolic disease, which is characterized by seizures, global developmental delay, as well as lactic acidosis, and elevated plasma pyruvate and alanine levels ... ...

    Abstract Pyruvate carboxylase (PC) deficiency (PCD), due to biallelic PC variants, is a rare inherited metabolic disease, which is characterized by seizures, global developmental delay, as well as lactic acidosis, and elevated plasma pyruvate and alanine levels in affected individuals. In the present study, a new induced pluripotent stem cell line (SHCDNi007-A) was generated from the peripheral blood mononuclear cells of a 2-month-old male infant with biallelic PC mutations c.(182 T > C;2581G > A), i.e. p.(Ile61Thr;Val861Met). This cell line is expected to facilitate the in vitro modeling of the disease pathophysiology and the development of future therapeutics for PCD.
    Schlagwörter Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Impacts of microphysical parameterizations on banded convective system in convection-permitting simulation

    Di Wu / Li Ma / Tiantian Hu / Ruixi Zhang

    Frontiers in Earth Science, Vol

    a case study

    2023  Band 11

    Abstract: The representation of cloud microphysical processes in models has always been a challenge leading to uncertainty in convective simulations. This paper evaluates the effect of cloud microphysical parameterizations on the simulation of mesoscale convective ...

    Abstract The representation of cloud microphysical processes in models has always been a challenge leading to uncertainty in convective simulations. This paper evaluates the effect of cloud microphysical parameterizations on the simulation of mesoscale convective systems (MCSs) through a realistic banded convection process. A series of numerical simulation experiments are performed using the Weather Research and Forecasting (WRF) model at a convection-permitting scale with a 3 km horizontal grid spacing. Specifically, four experiments considering different hydrometeor species within the WRF single-moment-microphysics schemes (WSMMPs) are conducted, and three additional sensitivity tests change the graupel particle properties. The results indicate that the significant differences in the times of convection initiation across the experiments reach 120 min, and more hydrometeor species may lead to later convection initiation. Moreover, the frozen graupel hydrometeor characteristics can appreciably alter the simulated convective morphology, even more than other hydrometeor species. When the graupel becomes smaller (such as Graupel-like), the fall speed of the graupel particles decreases. Therefore, more numerous graupel particles reside in clouds for a longer time, and experience more atmospheric diabatic heating and cooling effects. As a result, the simulated convective systems exhibit strong banded convective echo characteristics, the surface 10-m wind gust increases, and the cold pools associated with additional melting and evaporation become stronger, accelerating the propagation of the system. In contrast, larger and less abundant graupels (e.g., Hail-like) have a faster fall speed, and the atmospheric diabatic heating and cooling decrease by shortening the duration of their residence time within the clouds, resulting in a weak quasi-linear convective system, weak surface 10-m wind gust, unobvious cold pool, and slower propagation. Comparisons of the experiments further demonstrate that the fall speeds of frozen graupel ...
    Schlagwörter WRF ; cloud microphysics parameters ; diabatic heating and cooling ; graupel particles ; banded convection ; Science ; Q
    Thema/Rubrik (Code) 551
    Sprache Englisch
    Erscheinungsdatum 2023-04-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Research Trends of Written Corrective Feedback in L2 Writing

    Jia Miao / Jiangmei Chang / Li Ma

    SAGE Open, Vol

    A Bibliometric Analysis

    2023  Band 13

    Abstract: Written corrective feedback in Second Language Writing is one of the most important parts in L2 Acquisition and Language Teaching. CiteSpace is a convenient and effective bibliometric analysis tool which is widely used by researchers to explore the ... ...

    Abstract Written corrective feedback in Second Language Writing is one of the most important parts in L2 Acquisition and Language Teaching. CiteSpace is a convenient and effective bibliometric analysis tool which is widely used by researchers to explore the development tends of a certain field. The Web of Science core collection database was used as the primary source for data collection. There were 272 effective articles were selected from 2001 to 2021. The hot research topics in recent 20 years and emerging trends were showed. It was found that the research of written corrective feedback has entered a period of rapid development after the accumulation of basic knowledge in the early stage. Many empirical studies have been carried out. The distribution, cooperation, development trends and hotpots of current research are presented through visual map analysis in this study. In the future, the written corrective feedback research could try to concentrate on the psychological process and feedback providers, and it is also suggested to combine interdisciplinary knowledge such as education, psychology, neurology, etc., and use new research and measurement methods to promote the development of written corrective feedback.
    Schlagwörter History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
    Thema/Rubrik (Code) 001
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag SAGE Publishing
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: Expansion of Industrial Parks in the Beijing–Tianjin–Hebei Urban Agglomeration

    Lei Kang / Li Ma

    Land, Vol 10, Iss 1118, p

    A Spatial Analysis

    2021  Band 1118

    Abstract: Today, China is witnessing large-scale expansion of industrial parks. Rapid urbanization has resulted in the planning, development, and functional transformation of large industrial parks. Some of the expansions have occurred in core areas, while others ... ...

    Abstract Today, China is witnessing large-scale expansion of industrial parks. Rapid urbanization has resulted in the planning, development, and functional transformation of large industrial parks. Some of the expansions have occurred in core areas, while others involved the establishment of new park spaces in peripheral areas. This study examines industrial parks’ spatial expansion in the Beijing–Tianjin–Hebei urban agglomeration and supplements the currently limited spatial expansion analyses of groups of development zones within specific regions. From the perspective of land use change, the study characterizes the spatial expansion of industrial parks in the three periods 1990–2000, 2000–2010, and 2010–2015. Results reveal the following: (1) During the three periods, the footprint of major industrial parks in Beijing–Tianjin–Hebei increased continuously, whereas the average annual growth rates diminished by 11.51%, 8.17%, and 3.38% for 1990–2000, 2000–2010, and 2010–2015, respectively. (2) In terms of spatial layout, the density of industrial parks has always been high in Beijing and Tianjin, and it increased over the three periods in Hebei, with more industrial parks established in the southeastern and fewer in the northern regions. (3) Regarding expansion modes, the period 1990–2000 witnessed several edge-expansions in core areas, such as Beijing and Tianjin, and limited expansions in peripheral cities; in 2000–2010, mainly edge- and infilling expansions occurred in core cities and characteristically outlying expansions in peripheral ones. In 2010–2015, infilling expansions took place in core cities and edge-expansions of established industrial parks occurred in small and medium-sized cities. Identifying the expansion modes is instrumental in differentiating industrial park development paths and optimizing an entire region’s spatial planning for industrial parks.
    Schlagwörter industrial parks ; spatial expansion ; modes ; Beijing–Tianjin–Hebei urban agglomeration ; Agriculture ; S
    Thema/Rubrik (Code) 710
    Sprache Englisch
    Erscheinungsdatum 2021-10-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Toward Renewable Energy in China

    Li Ma / Die Xu

    Sustainability, Vol 13, Iss 9117, p

    Revisiting Driving Factors of Chinese Wind Power Generation Development and Spatial Distribution

    2021  Band 9117

    Abstract: As the biggest renewable energy installation and generation country globally, it is important to deeply understand China’s wind power production determinants and draw implications for energy policy. This paper analyzes local electricity deployment, ... ...

    Abstract As the biggest renewable energy installation and generation country globally, it is important to deeply understand China’s wind power production determinants and draw implications for energy policy. This paper analyzes local electricity deployment, electricity consumption, investment in wind power, and price of wind power electricity on-grid apart from traditional GDP and CO 2 factors in the panel data regression model, and some interesting results are found. The investment of installation and the price of wind power electricity on-grid have negative impacts on wind power generation, while local electricity consumption and inter-provincial power transmission capacity significantly impact wind power generation positively. GDP and CO 2 emission per capita have negative and positive impacts on wind power production, respectively. As for different wind power zones, the most influencing factors are local electricity consumption. Hence, this paper concludes that local absorbing capacity is still an important limiting factor to Chinese renewable energy development. At last, some policies are suggested to enhance the local absorbing capacity of renewable energy.
    Schlagwörter renewable energy ; wind power generation ; driving factors ; spatial differences ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 690
    Sprache Englisch
    Erscheinungsdatum 2021-08-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel: Decoding motor imagery with a simplified distributed dipoles model at source level.

    Li, Ming-Ai / Ruan, Zi-Wei

    Cognitive neurodynamics

    2022  Band 17, Heft 2, Seite(n) 445–457

    Abstract: Motor imagery (MI) based brain computer interface significantly oriented the development of neuro-rehabilitation, and the crucial issue is how to accurately detect the changes of cerebral cortex for MI decoding. The brain activity can be calculated based ...

    Abstract Motor imagery (MI) based brain computer interface significantly oriented the development of neuro-rehabilitation, and the crucial issue is how to accurately detect the changes of cerebral cortex for MI decoding. The brain activity can be calculated based on the head model and observed scalp EEG, providing insights regarding cortical dynamics by using equivalent current dipoles with high spatial and temporal resolution. Now, all the dipoles within entire cortex or partial regions of interest are directly applied to data representation, this may make the key information weakened or lost, and it is worth studying how to choose the most important from numerous dipoles. In this paper, we devote to building a simplified distributed dipoles model (SDDM), which is combined with convolutional neural network (CNN), generating a MI decoding method at source level (called SDDM-CNN). First, all channels of raw MI-EEG signals are subdivided by a series of bandpass filters with width of 1 Hz, the average energies associated with any sub-band signals are calculated and ranked in a descending order to screen the top
    Sprache Englisch
    Erscheinungsdatum 2022-06-22
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article
    ZDB-ID 2276890-7
    ISSN 1871-4099 ; 1871-4080
    ISSN (online) 1871-4099
    ISSN 1871-4080
    DOI 10.1007/s11571-022-09826-x
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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