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Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

Petroleum Science 2024年第2期21卷 1429-1443页

作者： Bao-Jun Tang Chang-Jing Ji Yu-Xian Zheng Kang-Ning Liu Yi-Fei Ma Jun-Yu Chen center for Energy and Environmental Policy research Beijing Institute of TechnologyBeijing100081China School of Management and Economics Beijing Institute of TechnologyBeijing100081China Collaborative Innovation center of Electric Vehicles in Beijing BeijingChina Sustainable development research Institute for Economy and Society of Beijing BeijingChina Institute of Carbon Neutrality ShanghaiTech UniversityShanghai201210China

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM(1,1) model is employed to predict risk values for 2022-2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

关键词： Belt and Road Initiative Oil and Gas Investment Risk assessment

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Machine learning model based on non-convex penalized huberized-SVM

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Journal of Electronic Science and Technology 2024年第1期22卷 81-94页

作者： Peng Wang Ji Guo Lin-Feng Li School of Finance and Economics Xizang Minzu UniversityXianyang712082China research center for Quality development of Xizang Special Industries Xianyang712082China School of Computer Science and Technology Xinjiang UniversityUrumqi830017China

The support vector machine(SVM)is a classical machine learning *** the hinge loss and least absolute shrinkage and selection operator(LASSO)penalty are usually used in traditional ***,the hinge loss is not differentiable,and the LASSO penalty does not have the Oracle *** this paper,the huberized loss is combined with non-convex penalties to obtain a model that has the advantages of both the computational simplicity and the Oracle property,contributing to higher accuracy than traditional *** is experimentally demonstrated that the two non-convex huberized-SVM methods,smoothly clipped absolute deviation huberized-SVM(SCAD-HSVM)and minimax concave penalty huberized-SVM(MCP-HSVM),outperform the traditional SVM method in terms of the prediction accuracy and classifier *** are also superior in terms of variable selection,especially when there is a high linear correlation between the *** they are applied to the prediction of listed companies,the variables that can affect and predict financial distress are accurately filtered *** all the indicators,the indicators per share have the greatest influence while those of solvency have the weakest *** companies can assess the financial situation with the indicators screened by our algorithm and make an early warning of their possible financial distress in advance with higher precision.

关键词： Huberized loss Machine learning Non-convex penalties Support vector machine(SVM)

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Does Information Exchange Affect Cross-border Tax Avoidance? Evidence from the Common Reporting Standard

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China & World Economy 2024年第4期32卷 179-228页

作者： Muhan Wang Kezhong Zhang Sihan Gao School of Public Finance and Taxation Zhongnan University of Economics and LawChina School of Public Finance and Taxation Center for International Cooperation and Disciplinary Innovation of Income Distribution and Public Finance(1l1 Center)Zhongnan University of Economics and LawPublic Finance and Development Research Center of HubeiChina center for International Cooperation and Disciplinary Innovation of Income Distribution and Public Finance(1ll center) Zhongnan University of Economics and LawPublic Finance and Development Research Center of HubeiChina

Using panel data from 2012 to 2020 for publicly traded Chinese companies, we explored the efficacy in mitigation of tax information asymmetry to combat profit shifting and transnational tax avoidance. Our empirical analysis revealed that, after the implementation of the inaugural multilateral automatic information exchange system known as the Common Reporting Standard, there was a statistically significantly increase in the effective tax rate by 1.4 percentage points, accompanied by an increase in instances of tax compliance. These trends were discernibly associated with a reduction in profit shifting and notable changes in reported profit margins, particularly influenced by actions related to debt shifting and strategic management of intellectual property assets. These findings underscore the strong connection between these effects and various factors such as investment destinations, asset portfolios, and industry classifications. The results imply a prospective decline in the incidence of cross-border tax avoidance by Chinese multinational entities and demonstrate the potential of emerging international tax cooperation frameworks for curbing the global tax avoidance practices of multinational corporations.

关键词： cross-border tax avoidance Common Reporting Standard profit shifting tax information

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Bionic lightweight design of limb leg units for hydraulic quadruped robots by additive manufacturing and topology optimization

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Bio-Design and Manufacturing 2024年第1期7卷 1-13页

作者： Huaizhi Zong Junhui Zhang Lei Jiang Kun Zhang Jun Shen Zhenyu Lu Ke Wang Yanli Wang Bing Xu The State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310058China Unmanned Vehicle research and development center China North Vehicle Research InstituteBeijing 100072China School of Mechatronic Engineering Nanchang UniversityNanchang 330031China Auclean High-Tech Ltd. Wuxi 214108China

Galloping cheetahs,climbing mountain goats,and load hauling horses all show desirable locomotion capability,which motivates the development of quadruped *** various quadruped robots,hydraulically driven quadruped robots show great potential in unstructured environments due to their discrete landing positions and large *** the most critical movement unit of a quadruped robot,the limb leg unit(LLU)directly affects movement speed and reliability,and requires a compact and lightweight *** by the dexterous skeleton–muscle systems of cheetahs and humans,this paper proposes a highly integrated bionic actuator system for a better dynamic performance of an *** propose that a cylinder barrel with multiple element interfaces and internal smooth channels is realized using metal additive manufacturing,and hybrid lattice structures are introduced into the lightweight design of the piston *** addition,additive manufacturing and topology optimization are incorporated to reduce the redundant material of the structural parts of the *** mechanical properties of the actuator system are verified by numerical simulation and experiments,and the power density of the actuators is far greater than that of cheetah *** mass of the optimized LLU is reduced by 24.5%,and the optimized LLU shows better response time performance when given a step signal,and presents a good trajectory tracking ability with the increase in motion frequency.

关键词： Additive manufacturing Bionic lightweight design Limb leg unit Quadruped robot Trajectory tracking

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Bamboo-derived hard carbon/carbon nanotube composites as anode material for long-life sodium-ion batteries with high charge/discharge capacities

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Rare Metals 2024年第1期43卷 124-137页

作者： Sukanya Pothaya Chatwarin Poochai Nantikan Tammanoon Yaowamarn Chuminjak Tanaporn Kongthong Tanom Lomas Chakrit Sriprachuabwong Adisorn Tuantranont Graphene and Printed Electronics for Dual-Use Applications research Division(GPERD) National Security and Dual-Use Technology Center(NSD)National Science and Technology Development Agency(NSTDA)Tambon Klong NuengAmphoe Klong LuangPathum Thani 12120Thailand

Hard carbon derived from bamboo for the anode material of sodium-ion batteries has a three-dimensional(3D) open framework structure and has naturally incorporated K-ions into its carbon structure,increasing the dinterlayer spacing of hard carbon materials for facilitating Na^(+) *** this work,bamboo-derived hard carbon was prepared via two carbonization temperatures at 700and 1000 ℃ for an hour and employed as an anode for sodium-ion batteries(SIB).X-ray diffraction(XRD) and Fourier transform(FT)-Raman spectroscopic results indicated the disordered structure with d-spacing(d_(002)) around0.36-0.37 nm,which is a benefit for sodium ion insertion/***,the composition between carbon-nanotube(CNT) and bamboo-derived hard carbon(BB) was synthesized by a ball mill with various contents of CNT(1 wt%,5 wt% and 10 wt%).At the optimal CNT content of 5 wt%,the sample exhibited excellent performance and outstanding *** the anode,the half-cell SIB using BB(700)w@5%CNT(with a carbonization temperature of700 ℃ and CNT loading of 5 wt%) delivered a high initial specific capacity of 268.9 mAh·g^(-1) at 0.1C and capacity retention of 78.6% after 500 cycles at *** full cell SIB fabrication BB(700)w@5%CNT in combination with Na_(3)V_(2)(PO4)_(3) as the cathode demonstrated a high specific capacity of 127.6 mAh·g^(-1) at 0.2C with its capacitive retention remaining of 78% at 1.0C after 1000 *** attained storage performance indicates that hard carbonCNT composite anode material enhanced the conductive path of electron transport and provided long-term cycling *** good electrochemical performance as well as the low cost and environment-friendliness of the bambooderived hard carbon proves its suitability for future sodium-ion batteries.

关键词： Hard carbon Bamboo Sodium-ion battery(SIB) Full cell

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Shengmaisan combined with Liuwei Dihuang Decoction alleviates chronic intermittent hypoxia-induced cognitive impairment by activating the EPO/EPOR/JAK2 signaling pathway

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Chinese Journal of Natural Medicines 2024年第5期22卷 426-440页

作者： SI Jianchao CHEN Xue QI Kerong LI Dongli LIU Bingbing ZHENG Yuying JI Ensheng YANG Shengchang Department of Physiology Hebei University of Chinese MedicineShijiazhuang 050000China Hebei Technology Innovation center of tcm Combined Hydrogen Medicine Shijiazhuang 050000China Department of Geriatrics First People’s Hospital of XiaoganXiaogan 432000China

Chronic intermittent hypoxia(CIH),a principal pathophysiological aspect of obstructive sleep apnea(OSA),is associated with cognitive *** evidence suggests that a combination of Shengmaisan and Liuwei Dihuang Decoctions(SMS-LD)can enhance cognitive function by nourishing yin and strengthening the *** study aimed to assess the efficacy and underlying mechanisms of SMS-LD in addressing cognitive impairments induced by *** exposed C57BL/6N mice to CIH for five weeks(20%-5%O_(2),5 min/cycle,8 h/day)and administered SMS-LD intragastrically(15.0 or 30 g·kg^(-1)·day)30 min before each CIH ***,AG490,a JJanus kinase 2(JAK2)inhibitor,was administered via intracerebroventricular *** function was evaluated using the Morris water maze,while synaptic and mitochondrial structures were examined by transmission electron *** stress levels were determined using DHE staining,and the activation of the erythropoietin(ER)/ER receptor(EPOR)/JAK2 signaling pathway was analyzed through immunohistochemistry and Western *** further investigate molecular mechanisms,HT22 cells were treated in vitro with either SMS-LD medicated serum alone or in combination with AG490 and then exposed to CIH for 48 *** results indicate that SMS-LD significantly mitigated CIH-induced cognitive impairments in ***,SMS-LD treatment enhanced dendritic spine density,ameliorated mitochondrial dysfunction,reduced oxidative stress,and activated the EPO/EPOR/JAK2 signaling ***,AG490 negated SMS-LD’s neuroprotective and cognitive improvement effects under CIH *** findings suggest that SMS-LD’s beneficial impact on cognitive impairment and synaptic and mitochondrial integrity under CIH conditions may predominantly be attributed to the activation of the EPO/EPOR/JAK2 signaling pathway.

关键词： Chronic intermittent hypoxia Cognitive impairment Shengmaisan Liuwei Dihuang Decoction Oxidative stress EPO/EPOR/JAK2 signaling pathway

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Deciphering gastric inflammation-induced tumorigenesis through multi-omics data and AI methods

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Cancer Biology & Medicine 2024年第4期21卷 312-330页

作者： Qian Zhang Mingran Yang Peng Zhang Bowen Wu Xiaosen Wei Shao Li Institute for tcm-X MOE Key Laboratory of BioinformaticsBioinformatics DivisionBNRISTDepartment of AutomationTsinghua UniversityBeijing 100084China

Gastric cancer(GC), the fifth most common cancer globally, remains the leading cause of cancer deaths worldwide. Inflammation-induced tumorigenesis is the predominant process in GC development;therefore, systematic research in this area should improve understanding of the biological mechanisms that initiate GC development and promote cancer hallmarks. Here, we summarize biological knowledge regarding gastric inflammation-induced tumorigenesis, and characterize the multi-omics data and systems biology methods for investigating GC development. Of note, we highlight pioneering studies in multi-omics data and state-of-the-art network-based algorithms used for dissecting the features of gastric inflammation-induced tumorigenesis, and we propose translational applications in early GC warning biomarkers and precise treatment strategies. This review offers integrative insights for GC research, with the goal of paving the way to novel paradigms for GC precision oncology and prevention.

关键词： Gastric cancer inflammation-induced tumorigenesis multi-omics artificial intelligence network-based methods

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How to enhance agricultural plastic waste management in China?Insights from public participation

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Journal of Integrative Agriculture 2024年第6期23卷 2127-2143页

作者： Aibo Hao Thomas Dogot Changbin Yin State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China Economics and Rural development Laboratory TERRA Teaching and Research CentreGembloux Agro-Bio TechUniversity of LiègeGembloux B-5030Belgium research center for Agricultural Green development in China Beijing 100081China

Agricultural plastics play a pivotal role in agricultural ***,due to expensive costs,agricultural plastic waste management(APWM)encounters a vast funding *** one of the crucial stakeholders,the public deserves to make appropriate efforts for ***,identifying whether the public is willing to pay for APWM and clarifying the decisions’driving pathways to explore initiatives for promoting their payment intentions are essential to address the dilemma confronting *** this end,by applying the extended theory of planned behavior(TPB),the study conducted an empirical analysis based on 1,288 residents from four provinces(autonomous regions)of northern *** illustrate that:1)respondents hold generally positive and relatively strong payment willingness towards APWM;2)respondents’attitude(AT),subjective norm(SN),and perceived behavioral control(PBC)are positively correlated with their payment intentions(INT);3)environmental cognition(EC)and environmental emotion(EE)positively moderate the relationships between AT and INT,and between SN and INT,posing significant indirect impacts on *** study’s implications extend to informing government policies,suggesting that multi-entity cooperation,specifically public payment for APWM,can enhance agricultural non-point waste management.

关键词： agricultural plastic waste extended theory of planned behavior public payment environmental cognition environmental emotion

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MiR-142-3p Regulates ILC1s by Targeting HMGB1 via the NF-κB Pathway in a Mouse Model of Early Pregnancy Loss

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Current Medical Science 2024年第1期44卷 195-211页

作者： Xiang-li PANG Jie LI Jing WANG Si-si YAN Jing YANG Department of Obstetrics and Gynecology Renmin Hospital of Wuhan UniversityWuhan 430060China Reproductive Medical center Renmin Hospital of Wuhan UniversityWuhan 430060China Clinic research center for Assisted Reproductive Technology and Embryonic development in Hubei Province Wuhan 430060China

Objective Innate lymphoid cells(ILCs)are a class of newly discovered *** 1 ILCs(ILC1s)are identified in the decidua of humans and *** mobility group box 1(HMGB1)is predicted to be one of the target genes of miR-142-3p,which is closely related to pregnancy-related ***,miR-142-3p and HMGB1 are involved in regulating the NF-κB signaling *** study aimed to examine the regulatory effect of miR-142-3p on ILC1s and the underlying mechanism involving HMGB1 and the NF-κB signaling *** Mouse models of normal pregnancy and abortion were constructed,and the alterations of ILC1s,miR-142-3p,ILC1 transcription factor(T-bet),and pro-inflammatory cytokines of ILC1s(TNF-α,IFN-γand IL-2)were detected in mice from different *** targeting regulation of HMGB1 by miR-142-3p in ILC1s,and the expression of HMGB1 in normal pregnant mice and abortive mice were *** addition,the regulatory effects of miR-142-3p and HMGB1 on ILC1s were detected in vitro by CCK-8,Annexin-V/PI,ELISA,and RT-PCR,***,changes of the NF-κB signaling pathway in ILC1s were examined in the different *** the in vivo studies,miR-142-3p-Agomir was injected in the uterus of abortive mice to evaluate the abortion rate and alterations of ILC1s at the maternal-fetal interface,and further detect the expression of HMGB1,pro-inflammatory cytokines,and the NF-κB signaling *** The number of ILC1s was significantly increased,the level of HMGB1 was significantly upregulated,and that of miR-142-3p was considerably downregulated in the abortive mice as compared with the normal pregnant mice(all P<0.05).In addition,miR-142-3p was found to drastically inhibit the activation of the NF-κB signaling pathway(P<0.05).The number of ILC1s and the levels of pro-inflammatory cytokines were significantly downregulated and the activation of the NF-κB signaling pathway was inhibited in the miR-142-3p Agomir group(all P<0.05).Conclusion

关键词： maternal-fetal interface group 1 innate lymphoid cells(ILCis) high mobility group box 1(HMGB1) miR-142-3p abortion

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Wind Turbine Gearbox Fault Diagnosis Based on Multi-sensor Signals Fusion

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Protection and Control of Modern Power Systems 2024年第4期9卷 96-109页

作者： Yao Zhao Ziyu Song Dongdong Li Rongrong Qian Shunfu Lin the College of Electrical Engineering Shanghai University of Electric PowerShanghai 200090China IEEE the Design research and development center AECC Commercial Aircraft Engine Co. Ltd.Shanghai 200241China

This paper proposes a novel fault diagnosis method by fusing the information from multi-sensor signals to improve the reliability of the conventional vibration-based wind turbine drivetrain gearbox fault diagnosis *** method fully extracts fault features for variable speed,insufficient samples,and strong noise scenarios that may occur in the actual operation of a wind turbine planetary ***,multiple sensor signals are added to the diagnostic model,and multiple stacked denoising auto-encoders are designed and improved to extract the fault ***,a cycle reservoir with regular jumps is introduced to fuse multidimensional fault information and output diagnostic results in response to the insufficient ability to process fused information by the conventional Softmax *** addition,the competitive swarm optimizer algorithm is introduced to address the challenge of obtaining the optimal combination of parameters in the ***,the validation results show that the proposed method can increase fault diagnostic accuracy and improve robustness.

关键词： Wind turbine gearbox fault diagnosis multiple scenarios deep learning stacked denoising au-to-encoder cycle reservoir with regular jumps feature fusion network

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