A thermal power plant of Sinopec has 9 boilers, which generally have problems of high exhaust gas temperature and high flying ash carbon content. In order to improve the adaptability of coals, the stability of coal po...A thermal power plant of Sinopec has 9 boilers, which generally have problems of high exhaust gas temperature and high flying ash carbon content. In order to improve the adaptability of coals, the stability of coal powder ignition, the burn-off rate of pulverized coals and the boiler efficiency, a series of renovation projects about importing hot air into mill exhauster are proposed. For the sake of verifying the renovation effects, an efficiency performance test is conducted on the renovated #5 boiler. The test result shows that the boiler heat efficiency has improved by 0.4% and it operates more safely and reliably after the renovation. At last, this paper recommends an optimized operation mode.展开更多
Successful cases have not been rare, that is to import funds accelerate hospital building by means of raising funds, borrowing, renting, jointing, and so on. The same characteristics is raising money at first and then...Successful cases have not been rare, that is to import funds accelerate hospital building by means of raising funds, borrowing, renting, jointing, and so on. The same characteristics is raising money at first and then working, and the investor will earn high proportional benefits. 'Importing funds' has solved some practical problems, but it also causes some negative effects, such as difficulty in management, being difficult to work, inequitable benefit allocation, little benefits earned by the hospital, a big venture, and so on.By means of installment, the hospital has imported much equipment, such as very expensive Magnetic Resonating Instrument (MRI), spiral CT, straight accelerator, ECT and so on. Connecting with practice, the authors has analyzed objectively the profits and the harm of importing equipment by installment. There are four reasons for applying installment: firstly, it solves the problem of shortage of funds of the hospital; secondly, it efficiently avoids the inconvenience resulted from the management by both jointing sides together; thirdly, it raises the investing earnings of the hospital; finally, it is advantages which are as follows. Importing large-scale foreign equipment from abroad by installment has not been popular in the native hospital, and there are not relatively regular and ripe rules to be followed. Moreover, because effective institution is required to act as an economic guarantor, an extra content of work will, be added to practice.The authors prefer that attentions should be paid to the five aspects in importing equipment by means of installment; selecting the suitable importing project, selecting a favorable cooperating partner and deciding suitable cooperating items; selecting an excellent company or institution to guarantee for the hospital, and grasping the practice of the contract.展开更多
With the advancement of economic globalization, our country needs more and more English talents with international vision. University English Language Teaching is not just limited to listening, speaking, reading and w...With the advancement of economic globalization, our country needs more and more English talents with international vision. University English Language Teaching is not just limited to listening, speaking, reading and writing, but also develops students ＇intercultural communicative competence, so it requires teachers to import culture in the teaching process and cultivate the students＇ cultural awareness.展开更多
Background:Agarwood,primarily derived from the Aquilaria and Gyrinops genera,holds significant economic importance.However,there is a lack of comprehensive investigations providing guidance to importing nations regard...Background:Agarwood,primarily derived from the Aquilaria and Gyrinops genera,holds significant economic importance.However,there is a lack of comprehensive investigations providing guidance to importing nations regarding cultivation quantities and expected yields of Agarwood from distinct species.This study aims to address this gap by exploring the historical context and trade evolution of Agarwood,highlighting its global importance,and the challenges associated with securing accurate species information.Method:On-site visits to Agarwood cultivation sites were conducted to gain a nuanced understanding of Aquilaria species and their cultivation requirements.Additionally,a thorough analysis of global export and import data for Agarwood products over the last decade was undertaken.Results:China Mainland emerged as the leading exporter of Agarwood,averaging an annual export value of USD 1 million.India’s substantial exports challenge the prevailing notion of limited Agarwood production within its borders.Hong Kong and Singapore are pivotal distribution hubs,while Hong Kong and Taipei feature prominently as import destinations.Our analysis uncovers anomalies in the representation of Agarwood producers from 2001 to 2008,suggesting potential misclassification of Aquilaria Agarwood as Gyrinops in global export information.These findings underscore the urgency of investigating classification and reporting practices in the Agarwood trade.Furthermore,A.filaria emerges as a notable source,while A.malaccensis is decline in prominence.Conclusion:This study provides crucial insights for policymakers,stakeholders,and industry players seeking to make informed decisions in the Agarwood trade landscape.The results highlight the need for accurate species identification,classification,and reporting practices to ensure sustainable cultivation and trade of Agarwood.展开更多
Since the launch of island-wide special customs operations at Hainan Free Trade Port(Hainan FTP),the proportion of “zero-tariff”imported goods has increased significantly from 21 to 74 percent, and high-quality good...Since the launch of island-wide special customs operations at Hainan Free Trade Port(Hainan FTP),the proportion of “zero-tariff”imported goods has increased significantly from 21 to 74 percent, and high-quality goods from Southeast Asia can enter Hainan at a more competitive price. If goods contain imported materials and achieve at least 30 percent added value through local processing,they can enter the Chinese mainland market with an exemption from import tariffs, effectively gaining market access across China.展开更多
In light of the increasing efforts made by emerging market firms to engage in international business through importing activities,identifying the characteristics that motivate importing busi ness and con tribute to it...In light of the increasing efforts made by emerging market firms to engage in international business through importing activities,identifying the characteristics that motivate importing busi ness and con tribute to its success is practically and theoretically meaningful.Drawing upon a knowledge-based view(KBV),we examine how the shareholder internationality affects a firm's importing activities.We hypothesize that the shareholder internationality can facilitate a firm's import initiati on and con tribute to the diversity of importing countries of origin.Moreover,the divergence of shareholders'nationality backgrounds may hinder import initiation,but motivate importing from dispersed countries of origin during the import development process.A longitudinal analysis of Colombian firms supports our hypotheses.展开更多
After the end of World War II,African countries successively gained independence and ushered in a golden age of economic development.Through the strategies of primary product exports,transitional economic policies and...After the end of World War II,African countries successively gained independence and ushered in a golden age of economic development.Through the strategies of primary product exports,transitional economic policies and import substitution development,their economic growth accelerated significantly.However,due to the limitations of these strategies,the structural problem of Africa being an exporter of cheap industrial raw materials and an importer of manufactured goods remained unresolved.展开更多
Melioidosis is a zoonotic infectious disease caused by Burkholderia(B.)pseudomallei.It is predominantly endemic in Southeast Asia[1-3].Clinical manifestations are often non-specific,commonly presenting as pneumonia or...Melioidosis is a zoonotic infectious disease caused by Burkholderia(B.)pseudomallei.It is predominantly endemic in Southeast Asia[1-3].Clinical manifestations are often non-specific,commonly presenting as pneumonia or skin abscesses[4],and may progress to severe sepsis with a high case-fatality rate of 10%-50%[5].Due to its early flu-like symptoms,melioidosis is frequently misdiagnosed by clinicians in non-endemic regions.Beijing,located in the North Temperate Zone,rarely reports melioidosis cases;the lack of awareness among healthcare professionals may lead to misdiagnosis and fatal outcomes.展开更多
Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i....Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i.e.asset-)level prioritization,which entails many complexities.Acknowledging the complex and interdependent nature of infrastructure systems,this paper aims to aid researchers,practitioners and policy-makers by pre-senting a review of the relative literature and current state-of-the-art,and by identifying future research op-portunities to improve the applicability and operationalizability of CI component identification and prioritization methods.Theoretical and practical applications are reviewed for definitions,analysis and modelling approaches regarding the resilience of interdependent infrastructure systems.A detailed review of infrastructure criticality definitions,component criticality assessment and prioritization frameworks,from scientific,policy and other documents,is presented.A discussion on social justice and equity dimensions therein is included,which have the potential to greatly influence decisions and should always be incorporated in infrastructure planning and in-vestment discussions.The findings of this review are discussed in terms of applicability and operationalizability.Key recommendations for future research include:(i)developing quantification frameworks for CI component criticality based on formal definitions and multiple criteria,(ii)incorporating the entire resilience cycle of CI in component prioritization,(iii)accounting for the socio-technical nature of CI systems by integrating social di-mensions and their wider operating environment and(iv)developing comprehensive model validation,cali-bration and uncertainty analysis frameworks.展开更多
India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without ext...India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without extension,marks a return to the previous tariff framework-a policy shift expected to raise costs for the domestic textile industry and potentially trigger ripple effects across global cotton trade.展开更多
Accurate soil classification is essential for pavement design;however,the traditional American Association of State Highway and Transportation Officials(AASHTO)classification system relies on extensive laboratory test...Accurate soil classification is essential for pavement design;however,the traditional American Association of State Highway and Transportation Officials(AASHTO)classification system relies on extensive laboratory testing and subjective judgment.This study presents an artificial intelligence(AI)enhanced framework for AASHTO soil classification.A synthetic dataset of 349,015 samples was generated using parameter ranges for five AASHTO input variables to support model development.Four machine learning models were trained,analyzed,and compared where the random forest(RF)consistently achieved the highest accuracy of 100%among the four models in predicting AASHTO soil groups.Feature importance analysis indicates that percent passing the No.200 sieve is the most influential factor,and under missing input scenarios.Additionally,the models remain reliable under partial input loss,though accuracy is most sensitive to the absence of percent passing the No.200 sieve,dropping to 85.8%,while all other variables maintain accuracies of at least 93.1%.Prediction uncertainty using Monte Carlo simulations shows model performance within a 95%confidence interval.Overall,the proposed AI models can accurately and efficiently predict AASHTO soil groups using incomplete datasets for geotechnical engineering.展开更多
Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effect...Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effects,and greater runoff from parks and other green spaces.Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies.This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization(AAROM-TN),enhanced by a dual weighting strategy.The weighting approach integrates the Criteria Importance Through Intercriteria Correlation(CRITIC)method with the Criteria Importance through Means and Standard Deviation(CIMAS)technique.The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC,incorporate decision-makers’preferences through CIMAS,and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets.A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework.A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results.Furthermore,a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.展开更多
Effective conservation relies on robust assessments;however,the lack of waterbird data in the Yellow River Basin(YRB)has led to an underestimation of key habitat significance.This study addressed this gap by evaluatin...Effective conservation relies on robust assessments;however,the lack of waterbird data in the Yellow River Basin(YRB)has led to an underestimation of key habitat significance.This study addressed this gap by evaluating YRB wetland conservation importance using waterbirds as indicators and applying Ramsar,Important Bird Areas(IBA),and East Asian-Australasian Flyway(EAAF)criteria.We integrated coordinated surveys with citizen science data,creating a framework that tackles data deficiencies along the under-monitored Central Asian Flyway(CAF).Our analysis identified 75 priority wetlands,supporting 15 threatened species and 49 exceeding global/flyway 1%thresholds,highlighting the basin's biodiversity.We observed strong seasonal habitat use,with high-altitude wetlands vital for breeding and migration,and the Yellow River Delta providing year-round refuge.This research also provided data to refine Baer's Pochard population estimates.Alarmingly,one-third of the identified priority areas,primarily rivers and lakes,remain unprotected.To address this,we recommend systematic surveys,enhanced protected areas,OECMs,and targeted wetland restoration.This study underscores the YRB's role in regional conservation and provides essential data for adaptive management,particularly emphasizing the CAF's importance.展开更多
Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three ...Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.展开更多
A case of imported severe falciparum malaria with spontaneous splenic rupture was reported in this paper.The patient,an African migrant worker,developed hemolytic anemia,sepsis,thrombocytopenia,coagulation dysfunction...A case of imported severe falciparum malaria with spontaneous splenic rupture was reported in this paper.The patient,an African migrant worker,developed hemolytic anemia,sepsis,thrombocytopenia,coagulation dysfunction,liver failure,renal insufficiency,electrolyte disturbance and other clinical manifestations after returning to the local area.Plasmodium falciparum was found by peripheral blood smearscopy and was diagnosed as severe falciparum malaria.After standardized anti-malaria treatment,plasma exchange+cytokine adsorption therapy,the establishment of“forewarning-forewarning-prevention-emergency”predictive nursing management model,the establishment of an integrated nursing team,the division of medical care is clear,professional knowledge is complementary,after three months of regular follow-up,the patient has no malaria recurrence,no refire,the function of all organs returned to normal.展开更多
Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide importan...Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide important habitats for the large waterbirds in South Asia,including Nepal.These habitats become especially limited during the summer season,when wetlands dry up,and most farmlands remain fallow.We investigated the occupancy and detection probabilities of four sympatric,large-bodied,threatened waterbirds(Sarus Crane Grus antigone,Lesser Adjutant Leptoptilos javanicus,Asian Openbill Anastomus oscitans,and Asian Woollyneck Ciconia episcopus)using road count survey,and their relationship with land-use variables across 93(5×5 km)grids during summer season(April-May;pre-breeding season)of 2023 in the Greater Lumbini Area of Nepal.Detection probability was highest for the Sarus Crane,while occupancy was highest for the Lesser Adjutant.In contrast,the Asian Woollyneck had the lowest occupancy and detection probability.Waterbird occupancy was highest within the Jagdishpur Reservoir/Lumbini Farmlands Important Bird and Biodiversity Area.Farmland area had a significant positive effect on the occupancy for all waterbirds except the Asian Woollyneck.Wetland and built-up areas had significant positive effects on the occupancy of Sarus Crane,but showed non-significant positive associations for other species.Such positive association with built-up areas may reflect some level of adaptation to human-dominated landscapes;however,increased urbanization could disrupt natural behaviors and elevate exposure to anthropogenic threats in future.Therefore,maintaining waterholes and irrigation networks across farmland during the summer season is imperative for safeguarding threatened waterbirds as these areas can function as critical habitats and potential buffers against the adverse impacts of expanding built-up regions.展开更多
Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method f...Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method for achieving sustainable regional development.Previous studies on multi-objective spatial optimization do not involve spatial corrections to simulation results based on the natural endowment of space resources.This study proposes an Ecological Security-Food Security-Urban Sustainable Development(ES-FS-USD)spatial optimization framework.This framework combines the non-dominated sorting genetic algorithm II(NSGA-II)and patch-generating land use simulation(PLUS)model with an ecological protection importance evaluation,comprehensive agricultural productivity evaluation,and urban sustainable development potential assessment and optimizes the territorial space in the Yangtze River Delta(YRD)region in 2035.The proposed sustainable development(SD)scenario can effectively reduce the destruction of landscape patterns of various land-use types while considering both ecological and economic benefits.The simulation results were further revised by evaluating the land-use suitability of the YRD region.According to the revised spatial pattern for the YRD in 2035,the farmland area accounts for 43.59%of the total YRD,which is 5.35%less than that in 2010.Forest,grassland,and water area account for 40.46%of the total YRD—an increase of 1.42%compared with the case in 2010.Construction land accounts for 14.72%of the total YRD—an increase of 2.77%compared with the case in 2010.The ES-FS-USD spatial optimization framework ensures that spatial optimization outcomes are aligned with the natural endowments of land resources,thereby promoting the sustainable use of land resources,improving the ability of spatial management,and providing valuable insights for decision makers.展开更多
Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to wea...Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to weaker explanations and practicability.This study introduces a novel explainable deep learning framework comprising the Informer model with enhanced attention mechanisms(EAMInfor)and deep learning important features(DeepLIFT),aimed at improving the prediction accuracy of shield position deviations and providing interpretability for predictive results.The EAMInfor model attempts to integrate channel attention,spatial attention,and simple attention modules to improve the Informer model's performance.The framework is tested with the four different geological conditions datasets generated from the Xiamen metro line 3,China.Results show that the EAMInfor model outperforms the traditional Informer and comparison models.The analysis with the DeepLIFT method indicates that the push thrust of push cylinder and the earth chamber pressure are the most significant features,while the stroke length of the push cylinder demonstrated lower importance.Furthermore,the variation trends in the significance of data points within input sequences exhibit substantial differences between single and composite strata.This framework not only improves predictive accuracy but also strengthens the credibility and reliability of the results.展开更多
Chinese Physics Letters(CPL) is a peer-reviewed,international and multidisciplinary journal sponsored by the Chinese Physical Society(CPS) and Institute of Physics,CAS,and hosted online by IOP Publishing Ltd.Launched ...Chinese Physics Letters(CPL) is a peer-reviewed,international and multidisciplinary journal sponsored by the Chinese Physical Society(CPS) and Institute of Physics,CAS,and hosted online by IOP Publishing Ltd.Launched in 1984 as the flagship journal of CPS,CPL has become one of the most prestigious periodicals published in China,and been among the good choices for worldwide physicists to disseminate their most important breakthroughs.展开更多
文摘A thermal power plant of Sinopec has 9 boilers, which generally have problems of high exhaust gas temperature and high flying ash carbon content. In order to improve the adaptability of coals, the stability of coal powder ignition, the burn-off rate of pulverized coals and the boiler efficiency, a series of renovation projects about importing hot air into mill exhauster are proposed. For the sake of verifying the renovation effects, an efficiency performance test is conducted on the renovated #5 boiler. The test result shows that the boiler heat efficiency has improved by 0.4% and it operates more safely and reliably after the renovation. At last, this paper recommends an optimized operation mode.
文摘Successful cases have not been rare, that is to import funds accelerate hospital building by means of raising funds, borrowing, renting, jointing, and so on. The same characteristics is raising money at first and then working, and the investor will earn high proportional benefits. 'Importing funds' has solved some practical problems, but it also causes some negative effects, such as difficulty in management, being difficult to work, inequitable benefit allocation, little benefits earned by the hospital, a big venture, and so on.By means of installment, the hospital has imported much equipment, such as very expensive Magnetic Resonating Instrument (MRI), spiral CT, straight accelerator, ECT and so on. Connecting with practice, the authors has analyzed objectively the profits and the harm of importing equipment by installment. There are four reasons for applying installment: firstly, it solves the problem of shortage of funds of the hospital; secondly, it efficiently avoids the inconvenience resulted from the management by both jointing sides together; thirdly, it raises the investing earnings of the hospital; finally, it is advantages which are as follows. Importing large-scale foreign equipment from abroad by installment has not been popular in the native hospital, and there are not relatively regular and ripe rules to be followed. Moreover, because effective institution is required to act as an economic guarantor, an extra content of work will, be added to practice.The authors prefer that attentions should be paid to the five aspects in importing equipment by means of installment; selecting the suitable importing project, selecting a favorable cooperating partner and deciding suitable cooperating items; selecting an excellent company or institution to guarantee for the hospital, and grasping the practice of the contract.
文摘With the advancement of economic globalization, our country needs more and more English talents with international vision. University English Language Teaching is not just limited to listening, speaking, reading and writing, but also develops students ＇intercultural communicative competence, so it requires teachers to import culture in the teaching process and cultivate the students＇ cultural awareness.
基金Jiangxi Province Double Thousand Talent-Leader of Natural Science Project(jxsq2023101038)Jiangxi Province Urgently Overseas Talent Project(2022BCJ25027)+1 种基金The Key Research Projects in Jiangxi Province(20223BBH8007&20232BBG70014)Innovation Team Project in Key Areas of Jiujiang City Base and Talent Plan(S2022TDJS029).
文摘Background:Agarwood,primarily derived from the Aquilaria and Gyrinops genera,holds significant economic importance.However,there is a lack of comprehensive investigations providing guidance to importing nations regarding cultivation quantities and expected yields of Agarwood from distinct species.This study aims to address this gap by exploring the historical context and trade evolution of Agarwood,highlighting its global importance,and the challenges associated with securing accurate species information.Method:On-site visits to Agarwood cultivation sites were conducted to gain a nuanced understanding of Aquilaria species and their cultivation requirements.Additionally,a thorough analysis of global export and import data for Agarwood products over the last decade was undertaken.Results:China Mainland emerged as the leading exporter of Agarwood,averaging an annual export value of USD 1 million.India’s substantial exports challenge the prevailing notion of limited Agarwood production within its borders.Hong Kong and Singapore are pivotal distribution hubs,while Hong Kong and Taipei feature prominently as import destinations.Our analysis uncovers anomalies in the representation of Agarwood producers from 2001 to 2008,suggesting potential misclassification of Aquilaria Agarwood as Gyrinops in global export information.These findings underscore the urgency of investigating classification and reporting practices in the Agarwood trade.Furthermore,A.filaria emerges as a notable source,while A.malaccensis is decline in prominence.Conclusion:This study provides crucial insights for policymakers,stakeholders,and industry players seeking to make informed decisions in the Agarwood trade landscape.The results highlight the need for accurate species identification,classification,and reporting practices to ensure sustainable cultivation and trade of Agarwood.
文摘Since the launch of island-wide special customs operations at Hainan Free Trade Port(Hainan FTP),the proportion of “zero-tariff”imported goods has increased significantly from 21 to 74 percent, and high-quality goods from Southeast Asia can enter Hainan at a more competitive price. If goods contain imported materials and achieve at least 30 percent added value through local processing,they can enter the Chinese mainland market with an exemption from import tariffs, effectively gaining market access across China.
文摘In light of the increasing efforts made by emerging market firms to engage in international business through importing activities,identifying the characteristics that motivate importing busi ness and con tribute to its success is practically and theoretically meaningful.Drawing upon a knowledge-based view(KBV),we examine how the shareholder internationality affects a firm's importing activities.We hypothesize that the shareholder internationality can facilitate a firm's import initiati on and con tribute to the diversity of importing countries of origin.Moreover,the divergence of shareholders'nationality backgrounds may hinder import initiation,but motivate importing from dispersed countries of origin during the import development process.A longitudinal analysis of Colombian firms supports our hypotheses.
文摘After the end of World War II,African countries successively gained independence and ushered in a golden age of economic development.Through the strategies of primary product exports,transitional economic policies and import substitution development,their economic growth accelerated significantly.However,due to the limitations of these strategies,the structural problem of Africa being an exporter of cheap industrial raw materials and an importer of manufactured goods remained unresolved.
基金supported by the Capital’s Funds for Health Improvement and Research(2024-1G-4362)the National Key Program for Infectious Disease of China(2018ZX10714002-003-002).
文摘Melioidosis is a zoonotic infectious disease caused by Burkholderia(B.)pseudomallei.It is predominantly endemic in Southeast Asia[1-3].Clinical manifestations are often non-specific,commonly presenting as pneumonia or skin abscesses[4],and may progress to severe sepsis with a high case-fatality rate of 10%-50%[5].Due to its early flu-like symptoms,melioidosis is frequently misdiagnosed by clinicians in non-endemic regions.Beijing,located in the North Temperate Zone,rarely reports melioidosis cases;the lack of awareness among healthcare professionals may lead to misdiagnosis and fatal outcomes.
基金supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No.101037424.
文摘Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i.e.asset-)level prioritization,which entails many complexities.Acknowledging the complex and interdependent nature of infrastructure systems,this paper aims to aid researchers,practitioners and policy-makers by pre-senting a review of the relative literature and current state-of-the-art,and by identifying future research op-portunities to improve the applicability and operationalizability of CI component identification and prioritization methods.Theoretical and practical applications are reviewed for definitions,analysis and modelling approaches regarding the resilience of interdependent infrastructure systems.A detailed review of infrastructure criticality definitions,component criticality assessment and prioritization frameworks,from scientific,policy and other documents,is presented.A discussion on social justice and equity dimensions therein is included,which have the potential to greatly influence decisions and should always be incorporated in infrastructure planning and in-vestment discussions.The findings of this review are discussed in terms of applicability and operationalizability.Key recommendations for future research include:(i)developing quantification frameworks for CI component criticality based on formal definitions and multiple criteria,(ii)incorporating the entire resilience cycle of CI in component prioritization,(iii)accounting for the socio-technical nature of CI systems by integrating social di-mensions and their wider operating environment and(iv)developing comprehensive model validation,cali-bration and uncertainty analysis frameworks.
文摘India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without extension,marks a return to the previous tariff framework-a policy shift expected to raise costs for the domestic textile industry and potentially trigger ripple effects across global cotton trade.
文摘Accurate soil classification is essential for pavement design;however,the traditional American Association of State Highway and Transportation Officials(AASHTO)classification system relies on extensive laboratory testing and subjective judgment.This study presents an artificial intelligence(AI)enhanced framework for AASHTO soil classification.A synthetic dataset of 349,015 samples was generated using parameter ranges for five AASHTO input variables to support model development.Four machine learning models were trained,analyzed,and compared where the random forest(RF)consistently achieved the highest accuracy of 100%among the four models in predicting AASHTO soil groups.Feature importance analysis indicates that percent passing the No.200 sieve is the most influential factor,and under missing input scenarios.Additionally,the models remain reliable under partial input loss,though accuracy is most sensitive to the absence of percent passing the No.200 sieve,dropping to 85.8%,while all other variables maintain accuracies of at least 93.1%.Prediction uncertainty using Monte Carlo simulations shows model performance within a 95%confidence interval.Overall,the proposed AI models can accurately and efficiently predict AASHTO soil groups using incomplete datasets for geotechnical engineering.
基金supported by the Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2026R259)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.Ashit Kumar Dutta would like to thank AlMaarefa University for supporting this research under project number MHIRSP2025017.
文摘Environmental problems are intensifying due to the rapid growth of the population,industry,and urban infrastructure.This expansion has resulted in increased air and water pollution,intensified urban heat island effects,and greater runoff from parks and other green spaces.Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies.This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization(AAROM-TN),enhanced by a dual weighting strategy.The weighting approach integrates the Criteria Importance Through Intercriteria Correlation(CRITIC)method with the Criteria Importance through Means and Standard Deviation(CIMAS)technique.The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC,incorporate decision-makers’preferences through CIMAS,and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets.A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework.A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results.Furthermore,a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.
基金The Science and Technology Basic Resources Survey Project,No.2021FY101002Wetland Protection and Restoration in China Funded by the Palson Institute and Laoniu Foundation,UNDP-GEF Flyway Project,No.PIMS ID:6110。
文摘Effective conservation relies on robust assessments;however,the lack of waterbird data in the Yellow River Basin(YRB)has led to an underestimation of key habitat significance.This study addressed this gap by evaluating YRB wetland conservation importance using waterbirds as indicators and applying Ramsar,Important Bird Areas(IBA),and East Asian-Australasian Flyway(EAAF)criteria.We integrated coordinated surveys with citizen science data,creating a framework that tackles data deficiencies along the under-monitored Central Asian Flyway(CAF).Our analysis identified 75 priority wetlands,supporting 15 threatened species and 49 exceeding global/flyway 1%thresholds,highlighting the basin's biodiversity.We observed strong seasonal habitat use,with high-altitude wetlands vital for breeding and migration,and the Yellow River Delta providing year-round refuge.This research also provided data to refine Baer's Pochard population estimates.Alarmingly,one-third of the identified priority areas,primarily rivers and lakes,remain unprotected.To address this,we recommend systematic surveys,enhanced protected areas,OECMs,and targeted wetland restoration.This study underscores the YRB's role in regional conservation and provides essential data for adaptive management,particularly emphasizing the CAF's importance.
基金supported by the research fund of Hanyang University(HY-202500000001616).
文摘Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.
基金“Artificial Liver Special Fund”of Beijing Gan Dan Xiang Zhao Public Welfare Foundation(Project No.:iGandanF-1082024-RGG055)。
文摘A case of imported severe falciparum malaria with spontaneous splenic rupture was reported in this paper.The patient,an African migrant worker,developed hemolytic anemia,sepsis,thrombocytopenia,coagulation dysfunction,liver failure,renal insufficiency,electrolyte disturbance and other clinical manifestations after returning to the local area.Plasmodium falciparum was found by peripheral blood smearscopy and was diagnosed as severe falciparum malaria.After standardized anti-malaria treatment,plasma exchange+cytokine adsorption therapy,the establishment of“forewarning-forewarning-prevention-emergency”predictive nursing management model,the establishment of an integrated nursing team,the division of medical care is clear,professional knowledge is complementary,after three months of regular follow-up,the patient has no malaria recurrence,no refire,the function of all organs returned to normal.
文摘Waterbird populations are declining globally due to various factors such as wetland degradation and loss,pesticide use,urbanization,and hunting.However,traditional farming practices and wetlands still provide important habitats for the large waterbirds in South Asia,including Nepal.These habitats become especially limited during the summer season,when wetlands dry up,and most farmlands remain fallow.We investigated the occupancy and detection probabilities of four sympatric,large-bodied,threatened waterbirds(Sarus Crane Grus antigone,Lesser Adjutant Leptoptilos javanicus,Asian Openbill Anastomus oscitans,and Asian Woollyneck Ciconia episcopus)using road count survey,and their relationship with land-use variables across 93(5×5 km)grids during summer season(April-May;pre-breeding season)of 2023 in the Greater Lumbini Area of Nepal.Detection probability was highest for the Sarus Crane,while occupancy was highest for the Lesser Adjutant.In contrast,the Asian Woollyneck had the lowest occupancy and detection probability.Waterbird occupancy was highest within the Jagdishpur Reservoir/Lumbini Farmlands Important Bird and Biodiversity Area.Farmland area had a significant positive effect on the occupancy for all waterbirds except the Asian Woollyneck.Wetland and built-up areas had significant positive effects on the occupancy of Sarus Crane,but showed non-significant positive associations for other species.Such positive association with built-up areas may reflect some level of adaptation to human-dominated landscapes;however,increased urbanization could disrupt natural behaviors and elevate exposure to anthropogenic threats in future.Therefore,maintaining waterholes and irrigation networks across farmland during the summer season is imperative for safeguarding threatened waterbirds as these areas can function as critical habitats and potential buffers against the adverse impacts of expanding built-up regions.
基金National Natural Science Foundation of China,No.42301470,No.52270185,No.42171389Capacity Building Program of Local Colleges and Universities in Shanghai,No.21010503300。
文摘Rapid urbanization in China has led to spatial antagonism between urban development and farmland protection and ecological security maintenance.Multi-objective spatial collaborative optimization is a powerful method for achieving sustainable regional development.Previous studies on multi-objective spatial optimization do not involve spatial corrections to simulation results based on the natural endowment of space resources.This study proposes an Ecological Security-Food Security-Urban Sustainable Development(ES-FS-USD)spatial optimization framework.This framework combines the non-dominated sorting genetic algorithm II(NSGA-II)and patch-generating land use simulation(PLUS)model with an ecological protection importance evaluation,comprehensive agricultural productivity evaluation,and urban sustainable development potential assessment and optimizes the territorial space in the Yangtze River Delta(YRD)region in 2035.The proposed sustainable development(SD)scenario can effectively reduce the destruction of landscape patterns of various land-use types while considering both ecological and economic benefits.The simulation results were further revised by evaluating the land-use suitability of the YRD region.According to the revised spatial pattern for the YRD in 2035,the farmland area accounts for 43.59%of the total YRD,which is 5.35%less than that in 2010.Forest,grassland,and water area account for 40.46%of the total YRD—an increase of 1.42%compared with the case in 2010.Construction land accounts for 14.72%of the total YRD—an increase of 2.77%compared with the case in 2010.The ES-FS-USD spatial optimization framework ensures that spatial optimization outcomes are aligned with the natural endowments of land resources,thereby promoting the sustainable use of land resources,improving the ability of spatial management,and providing valuable insights for decision makers.
基金supported by the National Natural Science Foundation of China(Grant Nos.52378392,52408356)the Foal Eagle Program Youth Top-notch Talent Project of Fujian Province,China(Grant No.00387088).
文摘Although machine learning models have achieved high enough accuracy in predicting shield position deviations,their“black box”nature makes the prediction mechanisms and decision-making processes opaque,leading to weaker explanations and practicability.This study introduces a novel explainable deep learning framework comprising the Informer model with enhanced attention mechanisms(EAMInfor)and deep learning important features(DeepLIFT),aimed at improving the prediction accuracy of shield position deviations and providing interpretability for predictive results.The EAMInfor model attempts to integrate channel attention,spatial attention,and simple attention modules to improve the Informer model's performance.The framework is tested with the four different geological conditions datasets generated from the Xiamen metro line 3,China.Results show that the EAMInfor model outperforms the traditional Informer and comparison models.The analysis with the DeepLIFT method indicates that the push thrust of push cylinder and the earth chamber pressure are the most significant features,while the stroke length of the push cylinder demonstrated lower importance.Furthermore,the variation trends in the significance of data points within input sequences exhibit substantial differences between single and composite strata.This framework not only improves predictive accuracy but also strengthens the credibility and reliability of the results.
文摘Chinese Physics Letters(CPL) is a peer-reviewed,international and multidisciplinary journal sponsored by the Chinese Physical Society(CPS) and Institute of Physics,CAS,and hosted online by IOP Publishing Ltd.Launched in 1984 as the flagship journal of CPS,CPL has become one of the most prestigious periodicals published in China,and been among the good choices for worldwide physicists to disseminate their most important breakthroughs.
