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  1. Article: Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

    Liu, Lu

    Food Science & Nutrition, 6(4):843-859

    2019  

    Abstract: The cold‐chain information has characterized by the loss and dispersion according to the different collecting methods. The description for the quality decay factors of aquatic products can be defined as the multidimensional information. A series of nodes ...

    Abstract The cold‐chain information has characterized by the loss and dispersion according to the different collecting methods. The description for the quality decay factors of aquatic products can be defined as the multidimensional information. A series of nodes with multidimensional information are assembled to be hierarchies aiming at describing the environment conditions and locations in the supply chain. Each of the single hierarchy levels constitutes a sequence of node information in a network, which is applied as internal information analysis. The cross‐layer information structure is defined as “bridge” information which is able to record the information transmissions among every hierarchy from the point of view of the whole chain. The study has established a novel structured modeling to describe the cold chain of aquatic products based on a network‐hierarchy framework. An organized and sustainable transmission process can be built and recorded by the multidimensional attributes for the whole course of cold chain of aquatic products. In addition, seamless connections among every hierarchy are attainable by the environmental information records continuously to monitor the quality of aquatic products. The quality assessments and shelf life predictions are estimated properly as the risk control in order to monitor and trace the safety of aquatic products under the supply chain perspective.
    Keywords Hierarchical network ; cold chain ; aquatic product ; multidimensional information ; quality safety
    Language English
    Document type Article
    Database Repository for Life Sciences

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  2. Article: Application of brain ultrasound in premature infants with brain injury.

    Liu, Lu

    Frontiers in neurology

    2023  Volume 14, Page(s) 1095280

    Abstract: Brain injury is the main factor affecting the development and prognosis of the nervous system in premature infants. Early diagnosis and treatment are of great significance in reducing mortality and disability and improving the prognosis of premature ... ...

    Abstract Brain injury is the main factor affecting the development and prognosis of the nervous system in premature infants. Early diagnosis and treatment are of great significance in reducing mortality and disability and improving the prognosis of premature infants. Craniocerebral ultrasound has become an important medical imaging method for evaluating the brain structure of premature infants due to its advantages of being non-invasive, cheap, simple, and bedside dynamic monitoring since it was applied to neonatal clinical practice. This article reviews the application of brain ultrasound to common brain injuries in premature infants.
    Language English
    Publishing date 2023-02-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2023.1095280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Study on the spatial decomposition of the infection probability of COVID-19.

    Liu, Lu

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 13258

    Abstract: In the course of our observations of the transmission of COVID-19 around the world, we perceived substantial concern about imported cases versus cases of local transmission. This study, therefore, tries to isolate cases due to local transmission (also ... ...

    Abstract In the course of our observations of the transmission of COVID-19 around the world, we perceived substantial concern about imported cases versus cases of local transmission. This study, therefore, tries to isolate cases due to local transmission (also called community spread) from those due to externally introduced COVID-19 infection, which can be key to understanding the spread pattern of the pandemic. In particular, we offer a probabilistic perspective to estimate the scale of the outbreak at the epicenter of the COVID-19 epidemic with an environmental focus. First, this study proposes a novel explanation of the probability of COVID-19 cases in the local population of the target city, in which the chain of probability is based on the assumption of independent distribution. Then it conducts a spatial statistical analysis on the spread of COVID-19, using two model specifications to identify the spatial dependence, more commonly known as the spillover effect. The results are found to have strong spatial dependence. Finally, it confirms the significance of residential waste in the transmission of COVID-19, which indicates that the fight against COVID-19 requires us to pay close attention to environmental factors. The method shown in this study is critical and has high practical value, because it can be easily applied elsewhere and to other future pandemics.
    MeSH term(s) Humans ; COVID-19/epidemiology ; SARS-CoV-2 ; Disease Outbreaks ; Pandemics ; Probability
    Language English
    Publishing date 2023-08-15
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-40307-1
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  4. Article: The dynamics of early-stage transmission of COVID-19: A novel quantification of the role of global temperature.

    Liu, Lu

    Gondwana research : international geoscience journal

    2022  Volume 114, Page(s) 55–68

    Abstract: The global outbreak of COVID-19 has emerged as one of the most devastating and challenging threats to humanity. As many frontline workers are fighting against this disease, researchers are struggling to obtain a better understanding of the pathways and ... ...

    Abstract The global outbreak of COVID-19 has emerged as one of the most devastating and challenging threats to humanity. As many frontline workers are fighting against this disease, researchers are struggling to obtain a better understanding of the pathways and challenges of this pandemic. This paper evaluates the concept that the transmission of COVID-19 is intrinsically linked to temperature. Some complex nonlinear functional forms, such as the cubic function, are introduced to the empirical models to understand the interaction between temperature and the "growth" in the number of infected cases. An accurate quantitative interaction between temperature and the confirmed COVID-19 cases is obtained as log
    Language English
    Publishing date 2022-01-11
    Publishing country Japan
    Document type Journal Article
    ISSN 1342-937X
    ISSN 1342-937X
    DOI 10.1016/j.gr.2021.12.010
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  5. Article: Modeling the optimization of COVID-19 pooled testing: How many samples can be included in a single test?

    Liu, Lu

    Informatics in medicine unlocked

    2022  Volume 32, Page(s) 101037

    Abstract: Objectives: This study tries to answer the crucial question of how many biological samples can be optimally included in a single test for COVID-19 pooled testing.: Methods: It builds a novel theoretical model which links the local population to be ... ...

    Abstract Objectives: This study tries to answer the crucial question of how many biological samples can be optimally included in a single test for COVID-19 pooled testing.
    Methods: It builds a novel theoretical model which links the local population to be tested in a region, the number of biological samples included in a single test, the "attitude" toward resource cost saving and time taken in a single test, as well as the corresponding resource cost function and time function, together. The numerical simulation results are then used to formulate the resource cost function as well as the time function. Finally, a loss function to be minimized is constructed and the optimal number of samples included is calculated.
    Results: In a numerical example, we consider a region of 1 million population which needs to be tested for the infection of COVID-19. The solution calculates the optimal number of biological samples included in a single test as
    Conclusions: As we can see in our simulation results, given the infection probability at 10%, setting the number of biological samples included in a single test (in the integer level) at [4,6] is reasonable for a wide range of the subjective attitude between time and resource costs. Therefore, in the current practice, 5-mixed samples would sound better than the commonly used 10-mixed samples.
    Language English
    Publishing date 2022-08-07
    Publishing country England
    Document type Journal Article
    ISSN 2352-9148
    ISSN 2352-9148
    DOI 10.1016/j.imu.2022.101037
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  6. Article ; Online: Evaluation Method of Financial Accounting Quality in Colleges and Universities Based on Dynamic Neuron Model.

    Liu, Lu

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 8520576

    Abstract: With the deepening of reform and opening up, great changes have taken place in the university financial management system. The role of financial analysis in university activities is becoming more and more obvious. In the new environment, especially in ... ...

    Abstract With the deepening of reform and opening up, great changes have taken place in the university financial management system. The role of financial analysis in university activities is becoming more and more obvious. In the new environment, especially in university financial reporting, we must establish effective reasonable and scientific financial analysis index system and quality evaluation team. In order to reflect the financial situation of colleges and universities, the university financial analysis indicators in this field have important theoretical and practical significance, such as finance, budget implementation, effective utilization of funds, risk prevention, and the formulation and application of such indicators. The financial management level of colleges and universities is improved, and the scientific development of colleges and universities is promoted. In this paper, we introduce the dynamic model of neurons, design a learning algorithm, and apply it to the quality evaluation of financial reports in colleges and universities. Through this research, a single-layer feedback network capable of fast learning and learning is established. This is not only helpful for universities to evaluate the quality of financial accounting business. However, enriching the significance of financial management in higher education has theoretical value.
    MeSH term(s) Algorithms ; Commerce ; Humans ; Neurons ; Systems Analysis ; Universities
    Language English
    Publishing date 2022-04-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/8520576
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  7. Article ; Online: Scene Classification in the Environmental Art Design by Using the Lightweight Deep Learning Model under the Background of Big Data.

    Liu, Lu

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 9066648

    Abstract: On the basis of scene visual understanding technology, the research aims to further improve the classification efficiency and classification accuracy of art design scenes. The lightweight deep learning (DL) model based on big data is used as the main ... ...

    Abstract On the basis of scene visual understanding technology, the research aims to further improve the classification efficiency and classification accuracy of art design scenes. The lightweight deep learning (DL) model based on big data is used as the main method to achieve real-time detection and recognition of multiple targets and classification of the multilabel scene. This research introduces the related foundations of the DL network and the lightweight object detection involved. The data for a multilabel scene classifier are constructed and the design of the convolutional neural network (CNN) model is described. On public datasets, the effectiveness of the lightweight object detection algorithm is verified to ensure its feasibility in the classification of actual scenes. The simulation results indicate that compared with the YOLOv3-Tiny model, the improved IRDA-YOLOv3 model reduces the number of parameters by 56.2%, the amount of computation by 46.3%, and the forward computation time of the network by 0.2 ms. It means that the IRDA-YOLOv3 network obtained after the improvement can realize the lightweight of the network. In the scene classification of complex traffic roads, the classification model of the multilabel scene can predict all kinds of semantic information of a single image and the classification accuracy for the four scenes is more than 90%. In summary, the discussed classification method based on the lightweight DL model is suitable for complex practical scenes. The constructed lightweight network improves the representational ability of the network and has certain research value for scene classification problems.
    MeSH term(s) Algorithms ; Big Data ; Computer Simulation ; Deep Learning ; Neural Networks, Computer
    Language English
    Publishing date 2022-06-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/9066648
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  8. Article ; Online: Comparison of the characteristics for naming geographical objects in Chinese and Western cultures

    Liu Lu / Rybakov Mikhail

    E3S Web of Conferences, Vol 389, p

    2023  Volume 08019

    Abstract: Toponym is rich in cultural connotations, which can help human beings understand the economy, culture, geography, religion of a certain region and a certain stage. With the increasing intercultural communication, cultural exchange has been extended to ... ...

    Abstract Toponym is rich in cultural connotations, which can help human beings understand the economy, culture, geography, religion of a certain region and a certain stage. With the increasing intercultural communication, cultural exchange has been extended to people's work and life and the significance and influence of toponym in cross-cultural communication has been gradually highlighted. This paper compares the similarities and differences between Chinese and Western place name from three aspects. Due to the unity of human thought, there are similarities between Chinese and Western place names. But because of the great cultural differences between China and the West, there are also great differences in the place names. Chinese place name is more deliberate and rigorous while western people treat place name only as an accusative symbol and the naming of it is more casual and flexible. Therefore, the study of place name can provide insight into the characteristics of Chinese and Western cultures which is important for the promotion of cultural exchange. The article also considers the prospect of using information computer technologies for processing wide layers of toponymic material.
    Keywords parable ; simile ; metaphor ; arbitrariness ; rationality ; realism ; intentionality ; toponym ; Environmental sciences ; GE1-350
    Subject code 401 ; 950
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Emerging study on the transmission of the Novel Coronavirus (COVID-19) from urban perspective: Evidence from China.

    Liu, Lu

    Cities (London, England)

    2020  Volume 103, Page(s) 102759

    Abstract: This study presents an in-depth investigation on the transmission of the novel coronavirus (COVID-19) from the urban perspective. It focuses on the "aftermath" of the outbreak and the spread of the infection among cities. Especially, this study provides ... ...

    Abstract This study presents an in-depth investigation on the transmission of the novel coronavirus (COVID-19) from the urban perspective. It focuses on the "aftermath" of the outbreak and the spread of the infection among cities. Especially, this study provides insights of the fundamentals of the factors that may affect the spread of the infection in cities, where the marginal effects of some most influential factors to the virus transmission are estimated. It reveals that the distance to epicenter is a very strong influential factor, and is negatively linked with the spread of COVID-19. In addition, subway, wastewater and residential garbage are positively connected with the virus transmission. Moreover, both urban area and population density are negatively associated with the spread of COVID-19 at the early stage of the epidemic. Furthermore, this study also provides high precision estimation of the number of COVID-19 infection in Wuhan city, which is the epicenter of the outbreak in China. Based on the real-world data of cities outside Wuhan on March 2, 2020, the estimated number is 56,944.866 (mean value), which is very close to the officially reported number. The methodology and main conclusions shown in this paper are of general interest, and they can be applied to other countries to help understand the local transmission of COVID-19 as well.
    Keywords covid19
    Language English
    Publishing date 2020-05-01
    Publishing country England
    Document type Journal Article
    ISSN 0264-2751
    ISSN 0264-2751
    DOI 10.1016/j.cities.2020.102759
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  10. Article ; Online: Advances in the bacterial organelles for CO

    Liu, Lu-Ning

    Trends in microbiology

    2021  Volume 30, Issue 6, Page(s) 567–580

    Abstract: Carboxysomes are a family of bacterial microcompartments (BMCs), present in all cyanobacteria and some proteobacteria, which encapsulate the primary ... ...

    Abstract Carboxysomes are a family of bacterial microcompartments (BMCs), present in all cyanobacteria and some proteobacteria, which encapsulate the primary CO
    MeSH term(s) Bacterial Proteins/metabolism ; Carbon Cycle ; Carbon Dioxide/metabolism ; Cyanobacteria/metabolism ; Organelles/metabolism ; Ribulose-Bisphosphate Carboxylase/metabolism
    Chemical Substances Bacterial Proteins ; Carbon Dioxide (142M471B3J) ; Ribulose-Bisphosphate Carboxylase (EC 4.1.1.39)
    Language English
    Publishing date 2021-11-19
    Publishing country England
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1158963-2
    ISSN 1878-4380 ; 0966-842X
    ISSN (online) 1878-4380
    ISSN 0966-842X
    DOI 10.1016/j.tim.2021.10.004
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