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  1. Article ; Online: Reasonable restrictions on the freedom of fishing in high seas marine protected areas from an international law perspective

    Yong Wang / Xin Pan

    Frontiers in Marine Science, Vol

    an analysis

    2023  Volume 10

    Abstract: With the development of marine protected areas (MPAs) on the high seas in the international community and an international agreement protecting biodiversity beyond national jurisdiction, how to reasonably restrict the freedom of fishing in the high seas ... ...

    Abstract With the development of marine protected areas (MPAs) on the high seas in the international community and an international agreement protecting biodiversity beyond national jurisdiction, how to reasonably restrict the freedom of fishing in the high seas MPAs has become a controversial issue in theory and in practice. This article will use doctrinal research method. It will discuss existing provisions regarding restricting the freedom of fishing on the high seas including the high seas MPAs. These provisions have been codified in international treaties, international resolutions, and international soft law. In addition, since regional fisheries management organizations (RFMOs) also take part in fishery management in the high seas MPAs, this article will refer to measures of relevant RFMOs to discuss how restriction is going in terms of the freedom of fish in the high seas MPAs. This article finds that the fishing-restriction measures stipulated in international documents represented by the United Nations Convention on the Law of the Sea are too general. In addition, some treaties do not address certain issues of restricting fishing methods by non-contracting parties. Therefore, these treaties are limited. The fishing practices of the four high seas MPAs that have been established by the international community reveals the establishment of several reasonable fishing restrictions. However, their shortcomings are evident. From the perspective of international law, it is important to improve the principle of reasonably restricting the freedom of fishing in MPAs on the high seas based on practice and positive law while proceeding steadily. Moreover, restriction measures cannot be too broad or narrow. Specifically, we should continue to develop mechanisms such as exceptions, ways of restricting fishing, advocacy provisions for non- contracting parties and measures to strengthen international information exchange.
    Keywords high seas marine protected areas ; freedom of fishing ; restriction measures ; fishery management ; international law ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
    Subject code 340
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Thoughts on the construction of public health informatization for community health archives grass roots management system

    Yong Wang / Chaonan Zhu

    Frontiers in Public Health, Vol

    2023  Volume 11

    Abstract: With the development of social economy and the continuous improvement of people’s living standards, people expect to receive high-level medical services, and the requirements for medical care are also getting higher and higher. However, there are still ... ...

    Abstract With the development of social economy and the continuous improvement of people’s living standards, people expect to receive high-level medical services, and the requirements for medical care are also getting higher and higher. However, there are still objective problems such as rising medical costs, difficulty in seeking medical treatment, uneven distribution of medical resources, low efficiency of medical services, and uneven medical quality. This paper first analyzes the significance of public health informatization construction, focuses on the elements of public health informatization construction, and expounds the status quo of health informatization construction and the existing problems in community health informatization. Then, this paper expounds the construction of public health informatization based on the grass-roots management system of community health records, and discusses the construction of a health information platform centered on the health records of community residents. Afterwards, this paper proposes and studies the functions of the community medical information archives management system from three aspects: the composition of the community medical information archives management system, the problems of system management, and the development requirements of the system, and proposes an algorithm based on a decision tree model to enhance public health informology. Finally, on the basis of experiments and investigations, Internet technology and decision tree model algorithms are introduced into the public health information system construction of the community health archives system to build a new public health information system, and the satisfaction rate can be increased by 23%.
    Keywords public health information ; community health records ; grassroots management system ; information construction ; grass roots ; Public aspects of medicine ; RA1-1270
    Subject code 306
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Research on the Change in Chemical Composition and Fungal Resistance of Moso Bamboo with Heat Treatment

    Wangwang Yu / Yong Wang

    Polymers, Vol 15, Iss 453, p

    2023  Volume 453

    Abstract: Bamboo, as a potential alternative to biomass materials, has gained more attention from the bamboo manufacturing industry in China. However, the drawbacks, such as the dimensional instability, and low antifungal and hydrophilic properties of bamboo, ... ...

    Abstract Bamboo, as a potential alternative to biomass materials, has gained more attention from the bamboo manufacturing industry in China. However, the drawbacks, such as the dimensional instability, and low antifungal and hydrophilic properties of bamboo, inhibit its application and shorten its service life. The objective of this work was to analyze the change in chemical components and fungal resistance of moso bamboo with heat treatment. For this objective, moso bamboo specimens were thermally modified in an oven at different temperatures for a fixed duration. The results showed that the parenchymal cells distorted and deformed in comparison to the control after thermal modification. After thermal modification in an oven, the crystallinity index increased from 39% to 53%. Owing to the thermal modification, the hemicellulose and cellulose relative content decreased, as confirmed by FTIR and XPS analysis. Thus, the dimensional stability and antifungal properties of the thermally modified bamboo specimens improved.
    Keywords bamboo ; thermal modification ; EMC ; anti-mildew property ; Organic chemistry ; QD241-441
    Subject code 700
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Fuzzy Adaptive Command-Filter Control of Incommensurate Fractional-Order Nonlinear Systems

    Dianjun Gong / Yong Wang

    Entropy, Vol 25, Iss 893, p

    2023  Volume 893

    Abstract: This paper focuses on the command-filter control of nonstrict-feedback incommensurate fractional-order systems. We utilized fuzzy systems to approximate nonlinear systems, and designed an adaptive update law to estimate the approximation errors. To ... ...

    Abstract This paper focuses on the command-filter control of nonstrict-feedback incommensurate fractional-order systems. We utilized fuzzy systems to approximate nonlinear systems, and designed an adaptive update law to estimate the approximation errors. To overcome the dimension explosion phenomenon in the backstepping process, we designed a fractional-order filter and applied the command filter control technique. The closed-loop system was semiglobally stable, and the tracking error converged to a small neighbourhood of equilibrium points under the proposed control approach. Lastly, the validity of the developed controller is verified with simulation examples.
    Keywords incommensurate fractional-order systems ; fuzzy adaptive control ; command-filter control ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: lncRNA-DANCR Promotes Taxol Resistance of Prostate Cancer Cells through Modulating the miR-33b-5p-LDHA Axis

    Yu-yong Wang / Chao Chen

    Disease Markers, Vol

    2022  Volume 2022

    Abstract: Prostate cancer (PCa) is one of the most common malignancies in men with high death rate worldwide. Paclitaxel (Taxol) is a widely used anticancer agent. Despite recent improvements in clinical application and research, development of drug resistance ... ...

    Abstract Prostate cancer (PCa) is one of the most common malignancies in men with high death rate worldwide. Paclitaxel (Taxol) is a widely used anticancer agent. Despite recent improvements in clinical application and research, development of drug resistance limits the efficacy of the Taxol-based chemotherapy. Previous studies revealed that the long noncoding RNA DANCR positively regulated progression of prostate cancer. However, the precise roles of DANCR in the Taxol sensitivity of PCa and the underlying molecular mechanisms remain largely unknown. Here, we report that the expressions of DANCR were significantly upregulated and miR-33b-5p were downregulated in prostate tumor specimens and cells as well as the Taxol-resistant prostate cancer cell line (PC3-TXR). Silencing DANCR or overexpressing miR-33b-5p effectively enhanced the Taxol sensitivity of PCa cells. Bioinformatics analysis, RNA pull-down assay, and luciferase assay consistently illustrated that DANCR was associated with miR-33b-5p, leading to downregulation of miR-33b-5p in PCa. Interestingly, glucose metabolism of PC3-TXR cells was remarkedly elevated. The glucose uptake, extracellular acidification rate (ECAR), and glycolysis speed-limiting enzyme expressions were significantly promoted in PC3-TXR cells. We further identified the glucose metabolism enzyme; LDHA was a direct target of miR-33b-5p in PCa cells. LDHA restoration attenuated miR-33b-5p-mediated PTX sensitization. Finally, the rescue of miR-33b-5p in DANCR-overexpressing PC3-TXR cells successfully overrode the DANCR-promoted Taxol resistance. In summary, this study uncovered biological roles and molecular mechanisms of the DANCR-promoted chemoresistance, contributing to the development of noncoding RNA-based therapeutic strategies against drug-resistant prostate cancer.
    Keywords Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Analysis of the Characteristics of Cross-Regional Patient Groups and Differences in Hospital Service Utilization in Beijing

    Yu Yang / Yong Wang

    International Journal of Environmental Research and Public Health, Vol 19, Iss 3227, p

    2022  Volume 3227

    Abstract: When medical diagnostic difficulties occur at local hospitals, seeking high-quality services across regions becomes a priority for many patients. Traditional statistical methods in health care are unable to account for spatial characteristics such as ... ...

    Abstract When medical diagnostic difficulties occur at local hospitals, seeking high-quality services across regions becomes a priority for many patients. Traditional statistical methods in health care are unable to account for spatial characteristics such as outflow place or distributions of disease type and patient ages in the context of an increasing number of cross-regional groups; thus, these methods are incapable of studying service utilization differences among hospitals. From a geographic perspective, we analyzed the spatial characteristics of cross-regional patient groups who travelled from other places to Beijing and the spatial decay patterns in the actual service utilization of different hospitals in Beijing by using geographic calculations, geographic visualizations, and distance decay functions. We found the following results: (1) It is feasible to study patients’ cross-regional mobility from a geographical perspective. Through interdisciplinary integration, we can explore laws and conclusions that cannot be examined by traditional statistical methods in health care. (2) The characteristics of cross-regional patients who travelled from other places to Beijing were as follows: (a) Most patients came from northern China, and neoplasm treatment was the main demand of cross-regional patients; (b) patients 40–65 years old were the main cross-regional treatment group, and the average age of patients from northern regions and certain eastern coastal cities was relatively high. (3) The exponential distance decay function was the best of all five distance decay functions in fitting the distribution of cross-regional patient mobility to hospitals of different levels, types, and functional areas. The results of applying this function and the centrality calculation method showed that hospital service utilization was least affected by distance and that average radial distances (AR) were greatest in tertiary hospitals (distance decay coefficient β = 0.0786, AR = 664.70 km), traditional Chinese medicine hospitals ( β = ...
    Keywords cross-regional patients ; spatial characteristics ; interdisciplinary ; hospital service utilization ; distance decay ; Medicine ; R
    Subject code 027
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: An empirical study of problems and evaluation of IoT malware classification label sources

    Tianwei Lei / Jingfeng Xue / Yong Wang / Thar Baker / Zequn Niu

    Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101898- (2024)

    2024  

    Abstract: With the proliferation of malware on IoT devices, research on IoT malicious code has also become more mature. Most studies use learning models to detect or classify malware. Therefore, ensuring high-quality labels for malware samples is crucial to ... ...

    Abstract With the proliferation of malware on IoT devices, research on IoT malicious code has also become more mature. Most studies use learning models to detect or classify malware. Therefore, ensuring high-quality labels for malware samples is crucial to maintaining research accuracy. Researchers typically submit malware samples to Anti-Virus (AV) engines to obtain labels, but different engines have varying rules for detecting maliciousness and variants. This study aims to improve future IoT malware research accuracy by investigating label quality. We address three label-related issues, including Anti-Virus detection technology, naming rules, and label expiration. Additionally, we examine multiple sources of malware labels, including 63 studies on IoT, Windows, and Android malware, as well as commonly used tools such as AVClass and Anti-Virus engines. To evaluate and recommend label sources, we construct classification models using an IoT malware dataset obtained from VirusShare, which is labeled with common tools and Anti-Virus engines and classified based on ELF features. For family classification, we investigate four methods and tools, and for variant hierarchy classification, we compare label overlaps with sample clustering from 12 Anti-Virus engines. Based on our findings, we recommend AVClass for obtaining labels for IoT family classification. For small-scale malware families at the variant level, we recommend using the labels from Ad-Aware, BitDefender, and Emsisoft engines. For large-scale malware families, we advise employing labels from Jiangmin, NANO-Antivirus, and Avira engines, serving as a valuable guide for future IoT malware research.
    Keywords Malware classification ; Malware label ; IoT malware analysis ; Anti-Virus engine label ; Label tool ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 006
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: An Ensemble of Neural Networks for Moist Physics Processes, Its Generalizability and Stable Integration

    Yilun Han / Guang J. Zhang / Yong Wang

    Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)

    2023  

    Abstract: Abstract With the recent advances in data science, machine learning has been increasingly applied to convection and cloud parameterizations in global climate models (GCMs). This study extends the work of Han et al. (2020, https://doi.org/10.1029/ ... ...

    Abstract Abstract With the recent advances in data science, machine learning has been increasingly applied to convection and cloud parameterizations in global climate models (GCMs). This study extends the work of Han et al. (2020, https://doi.org/10.1029/2020MS002076) and uses an ensemble of 32‐layer deep convolutional residual neural networks, referred to as ResCu‐en, to emulate convection and cloud processes simulated by a superparameterized GCM, SPCAM. ResCu‐en predicts GCM grid‐scale temperature and moisture tendencies, and cloud liquid and ice water contents from moist physics processes. The surface rainfall is derived from the column‐integrated moisture tendency. The prediction uncertainty inherent in deep learning algorithms in emulating the moist physics is reduced by ensemble averaging. Results in 1‐year independent offline validation show that ResCu‐en has high prediction accuracy for all output variables, both in the current climate and in a warmer climate with +4K sea surface temperature. The analysis of different neural net configurations shows that the success to generalize in a warmer climate is attributed to convective memory and the 1‐dimensional convolution layers incorporated into ResCu‐en. We further implement a member of ResCu‐en into CAM5 with real world geography and run the neural‐network‐enabled CAM5 (NCAM) for 5 years without encountering any numerical integration instability. The simulation generally captures the global distribution of the mean precipitation, with a better simulation of precipitation intensity and diurnal cycle. However, there are large biases in temperature and moisture in high latitudes. These results highlight the importance of convective memory and demonstrate the potential for machine learning to enhance climate modeling.
    Keywords Earth system modeling ; machine learning ; convection and clouds ; subgrid scale parameterizations ; generalization to warm climate ; Physical geography ; GB3-5030 ; Oceanography ; GC1-1581
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher American Geophysical Union (AGU)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Research on Wargame Decision-Making Method Based on Multi-Agent Deep Deterministic Policy Gradient

    Sheng Yu / Wei Zhu / Yong Wang

    Applied Sciences, Vol 13, Iss 4569, p

    2023  Volume 4569

    Abstract: Wargames are essential simulators for various war scenarios. However, the increasing pace of warfare has rendered traditional wargame decision-making methods inadequate. To address this challenge, wargame-assisted decision-making methods that leverage ... ...

    Abstract Wargames are essential simulators for various war scenarios. However, the increasing pace of warfare has rendered traditional wargame decision-making methods inadequate. To address this challenge, wargame-assisted decision-making methods that leverage artificial intelligence techniques, notably reinforcement learning, have emerged as a promising solution. The current wargame environment is beset by a large decision space and sparse rewards, presenting obstacles to optimizing decision-making methods. To overcome these hurdles, a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) based wargame decision-making method is presented. The Partially Observable Markov Decision Process (POMDP), joint action-value function, and the Gumbel-Softmax estimator are applied to optimize MADDPG in order to adapt to the wargame environment. Furthermore, a wargame decision-making method based on the improved MADDPG algorithm is proposed. Using supervised learning in the proposed approach, the training efficiency is improved and the space for manipulation before the reinforcement learning phase is reduced. In addition, a policy gradient estimator is incorporated to reduce the action space and to obtain the global optimal solution. Furthermore, an additional reward function is designed to address the sparse reward problem. The experimental results demonstrate that our proposed wargame decision-making method outperforms the pre-optimization algorithm and other algorithms based on the AC framework in the wargame environment. Our approach offers a promising solution to the challenging problem of decision-making in wargame scenarios, particularly given the increasing speed and complexity of modern warfare.
    Keywords wargame ; decision-making ; reinforcement learning ; policy gradient ; multi-agent ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 006
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A Bifunctional Pt/CeO 2 -Cu 1 /CeO 2 Catalyst System for Isooctane Oxidation under Fully Simulated Engine-Exhaust Condition

    Fan Lin / Carlos E. García-Vargas / Yong Wang

    Catalysts, Vol 13, Iss 508, p

    Eliminating the Inhibition by CO

    2023  Volume 508

    Abstract: Pt-based catalysts, because of their outstanding activity for hydrocarbon oxidation, are widely used in the engine-exhaust aftertreatment system to remove hydrocarbon emissions. However, the CO and NO x present in real engine exhausts compete with ... ...

    Abstract Pt-based catalysts, because of their outstanding activity for hydrocarbon oxidation, are widely used in the engine-exhaust aftertreatment system to remove hydrocarbon emissions. However, the CO and NO x present in real engine exhausts compete with hydrocarbons for active Pt sites, and thus inhibit hydrocarbon oxidation. In this work, we evaluated the inhibition effects of CO and NO on isooctane oxidation over a Pt/CeO 2 catalyst under the simulated condition of the US DRIVE test protocol (S-GDI, stoichiometric gasoline direct injection). We also leveraged a low-cost single-atom Cu 1 /CeO 2 catalyst, which is highly active for low-temperature CO oxidation, to eliminate the inhibition effect of CO. Specifically, by physically mixing Cu 1 /CeO 2 and Pt/CeO 2 , all the CO is completely converted below 200 °C under simulated exhaust condition, which helps lower the isooctane oxidation temperature. However, the unconverted NO still strongly suppresses HC oxidation. Possible strategies to address the NO inhibitor were proposed.
    Keywords emission control ; hydrocarbon oxidation ; Pt/CeO 2 ; Cu single-atom catalyst ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 290
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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