Despite the maturity of ensemble numerical weather prediction(NWP),the resulting forecasts are still,more often than not,under-dispersed.As such,forecast calibration tools have become popular.Among those tools,quantil...Despite the maturity of ensemble numerical weather prediction(NWP),the resulting forecasts are still,more often than not,under-dispersed.As such,forecast calibration tools have become popular.Among those tools,quantile regression(QR)is highly competitive in terms of both flexibility and predictive performance.Nevertheless,a long-standing problem of QR is quantile crossing,which greatly limits the interpretability of QR-calibrated forecasts.On this point,this study proposes a non-crossing quantile regression neural network(NCQRNN),for calibrating ensemble NWP forecasts into a set of reliable quantile forecasts without crossing.The overarching design principle of NCQRNN is to add on top of the conventional QRNN structure another hidden layer,which imposes a non-decreasing mapping between the combined output from nodes of the last hidden layer to the nodes of the output layer,through a triangular weight matrix with positive entries.The empirical part of the work considers a solar irradiance case study,in which four years of ensemble irradiance forecasts at seven locations,issued by the European Centre for Medium-Range Weather Forecasts,are calibrated via NCQRNN,as well as via an eclectic mix of benchmarking models,ranging from the naïve climatology to the state-of-the-art deep-learning and other non-crossing models.Formal and stringent forecast verification suggests that the forecasts post-processed via NCQRNN attain the maximum sharpness subject to calibration,amongst all competitors.Furthermore,the proposed conception to resolve quantile crossing is remarkably simple yet general,and thus has broad applicability as it can be integrated with many shallow-and deep-learning-based neural networks.展开更多
Enterprise mergers and acquisitions(M&A)are vital strategies for companies worldwide to expand markets,enhance competitiveness,and achieve strategic goals.The Chinese government’s strong support for the new energ...Enterprise mergers and acquisitions(M&A)are vital strategies for companies worldwide to expand markets,enhance competitiveness,and achieve strategic goals.The Chinese government’s strong support for the new energy industry has created a favorable policy environment for the development of the lithium battery sector.Against this backdrop,Tianqi Lithium Corp’s acquisition of Sociedad Química y Minera(SQM)in Chile has garnered widespread attention.This paper takes Tianqi Lithium Corp’s acquisition of SQM as the research subject,conducting a detailed analysis of the motives behind the M&A.Subsequently,financial indicators are employed to conduct a performance analysis from a financial perspective,examining the impact of the M&A.Finally,based on the findings of the case analysis,relevant suggestions are proposed to offer a reference for the development of enterprise mergers and acquisitions.展开更多
In the late 1980s,the prevailing corporate model usually depicted companies as economic entities pursuing shareholders’profit maximisation interests without a thought for the consequences of this behaviour on the loc...In the late 1980s,the prevailing corporate model usually depicted companies as economic entities pursuing shareholders’profit maximisation interests without a thought for the consequences of this behaviour on the local community and environment.However,over the last decades,corporate scandals challenged that corporate model’s validity and paved the way for a sustainable corporate model.The latter emphasises a triple bottom line approach that incorporates social,economic,and environmental objectives.By implementing a sustainable corporate model,companies achieve both economic and social goals in a balanced approach.This research investigates the B Corporation(B Corp)certification system,which helps companies implement a sustainable corporate model voluntarily.B Corp certification is a badge signal that companies’business model adheres to ethical standards and meets socially conscious stakeholders’expectations.Our research aims to provide a deep contextual understanding of the determinants and implications of the B Corp certification’s adoption.We adopt a semantic approach to review and systematise management and accounting literature on Certified B Corporations(B Corps)through institutional theory’s lenses,which help us explain why firms decide voluntarily to become B Corps.展开更多
Currently, the comprehensive assessment of the communication troops’ camp planning project is primarily qualitative, with limited quantitative evaluation. Drawing upon the relevant spirit of the Military Commission’...Currently, the comprehensive assessment of the communication troops’ camp planning project is primarily qualitative, with limited quantitative evaluation. Drawing upon the relevant spirit of the Military Commission’s documents and leveraging the author’s own work experience in branch offices, this article thoroughly explores the factors influencing the comprehensive assessment of the project and proposes quantitative representation methods for these factors. Utilizing the Analytic Hierarchy Process (AHP), a hierarchical structure model and judgment matrix for the evaluation factors of the communication troops’ camp construction planning project are constructed, enabling the determination of the weightage of each factor. This provides a certain level of support and reference for the project approval and management by branch offices, while also offering valuable insights for the approval and management of camp planning and construction projects in other types of troops and battlefield projects.展开更多
This study explores the key role of rivers in the westward expansion of the United States during the 19th century. In the early 1800s, President Jefferson envisioned a United States that extended from the Atlantic to ...This study explores the key role of rivers in the westward expansion of the United States during the 19th century. In the early 1800s, President Jefferson envisioned a United States that extended from the Atlantic to the Pacific Ocean. At the time, the entire United States territory was located between the Atlantic Ocean and the Mississippi River. Much of the land west of the Mississippi River was claimed by Spain, France, or Canada. In 1803, President Jefferson was able to purchase the Missouri River watershed from France via the Louisiana Purchase. This allowed the United States to extend its land claim west from the confluence of the Missouri and Mississippi Rivers to the head waters of the Missouri River at the continental divide in the Rocky Mountains. President Jefferson commissioned William Clark and Meriwether Lewis, in 1803, to explore, discover and describe the Missouri River watershed and find a water route to the Pacific Ocean. The Lewis and Clark Corps of Discovery trip found no such waterway link but did continue to explore the Pacific Northwest lands north and west of the continental divide. The only way that the Pacific Northwest could be claimed as part of the United States was for Americans to settle there before the Canadians did. Starting in the 1820s, many Americans traveled via the Oregon Trail to the Willamette Valley (Land of Flowing Milk and Honey) in Oregon. The primary objectives of this study are to document how the United States: 1) extended its land claims west from the Mississippi River to the North American continental drainage divide;2) established an American claim to the Pacific North West territory;and 3) fulfilled President Jefferson’s vision of a United States extending from the Atlantic to the Pacific Ocean.展开更多
[Objective] This study aimed to improve classification accuracy of RS images using rough set theory in the growth of crops. [Method] Technique methods of data mining and knowledge discovery have been used. The develop...[Objective] This study aimed to improve classification accuracy of RS images using rough set theory in the growth of crops. [Method] Technique methods of data mining and knowledge discovery have been used. The development status of spatial data mining and knowledge discovery (SDMKD) is presented and data mining techniques in remote sensing were deeply analyzed. Then, SDMKD of TM image are researched using method of rough set, mainly including four methods (rough set, apriori algorithms, inductive learning, clustering). [Result] The proposed method raises efficiency of land use and land reclaim. Based on the SDMKD, the characteristics of TM showed that the information after using rough set is more intensive than that of none. Especially, much better results can be gained while kinds of corps are less than five. [Conclusion] This study laid significant basis for further research on data mining in the growth of crops.展开更多
基金supported by the National Natural Science Foundation of China (Project No.42375192)the China Meteorological Administration Climate Change Special Program (CMA-CCSP+1 种基金Project No.QBZ202315)support by the Vector Stiftung through the Young Investigator Group"Artificial Intelligence for Probabilistic Weather Forecasting."
文摘Despite the maturity of ensemble numerical weather prediction(NWP),the resulting forecasts are still,more often than not,under-dispersed.As such,forecast calibration tools have become popular.Among those tools,quantile regression(QR)is highly competitive in terms of both flexibility and predictive performance.Nevertheless,a long-standing problem of QR is quantile crossing,which greatly limits the interpretability of QR-calibrated forecasts.On this point,this study proposes a non-crossing quantile regression neural network(NCQRNN),for calibrating ensemble NWP forecasts into a set of reliable quantile forecasts without crossing.The overarching design principle of NCQRNN is to add on top of the conventional QRNN structure another hidden layer,which imposes a non-decreasing mapping between the combined output from nodes of the last hidden layer to the nodes of the output layer,through a triangular weight matrix with positive entries.The empirical part of the work considers a solar irradiance case study,in which four years of ensemble irradiance forecasts at seven locations,issued by the European Centre for Medium-Range Weather Forecasts,are calibrated via NCQRNN,as well as via an eclectic mix of benchmarking models,ranging from the naïve climatology to the state-of-the-art deep-learning and other non-crossing models.Formal and stringent forecast verification suggests that the forecasts post-processed via NCQRNN attain the maximum sharpness subject to calibration,amongst all competitors.Furthermore,the proposed conception to resolve quantile crossing is remarkably simple yet general,and thus has broad applicability as it can be integrated with many shallow-and deep-learning-based neural networks.
文摘Enterprise mergers and acquisitions(M&A)are vital strategies for companies worldwide to expand markets,enhance competitiveness,and achieve strategic goals.The Chinese government’s strong support for the new energy industry has created a favorable policy environment for the development of the lithium battery sector.Against this backdrop,Tianqi Lithium Corp’s acquisition of Sociedad Química y Minera(SQM)in Chile has garnered widespread attention.This paper takes Tianqi Lithium Corp’s acquisition of SQM as the research subject,conducting a detailed analysis of the motives behind the M&A.Subsequently,financial indicators are employed to conduct a performance analysis from a financial perspective,examining the impact of the M&A.Finally,based on the findings of the case analysis,relevant suggestions are proposed to offer a reference for the development of enterprise mergers and acquisitions.
文摘In the late 1980s,the prevailing corporate model usually depicted companies as economic entities pursuing shareholders’profit maximisation interests without a thought for the consequences of this behaviour on the local community and environment.However,over the last decades,corporate scandals challenged that corporate model’s validity and paved the way for a sustainable corporate model.The latter emphasises a triple bottom line approach that incorporates social,economic,and environmental objectives.By implementing a sustainable corporate model,companies achieve both economic and social goals in a balanced approach.This research investigates the B Corporation(B Corp)certification system,which helps companies implement a sustainable corporate model voluntarily.B Corp certification is a badge signal that companies’business model adheres to ethical standards and meets socially conscious stakeholders’expectations.Our research aims to provide a deep contextual understanding of the determinants and implications of the B Corp certification’s adoption.We adopt a semantic approach to review and systematise management and accounting literature on Certified B Corporations(B Corps)through institutional theory’s lenses,which help us explain why firms decide voluntarily to become B Corps.
文摘Currently, the comprehensive assessment of the communication troops’ camp planning project is primarily qualitative, with limited quantitative evaluation. Drawing upon the relevant spirit of the Military Commission’s documents and leveraging the author’s own work experience in branch offices, this article thoroughly explores the factors influencing the comprehensive assessment of the project and proposes quantitative representation methods for these factors. Utilizing the Analytic Hierarchy Process (AHP), a hierarchical structure model and judgment matrix for the evaluation factors of the communication troops’ camp construction planning project are constructed, enabling the determination of the weightage of each factor. This provides a certain level of support and reference for the project approval and management by branch offices, while also offering valuable insights for the approval and management of camp planning and construction projects in other types of troops and battlefield projects.
文摘This study explores the key role of rivers in the westward expansion of the United States during the 19th century. In the early 1800s, President Jefferson envisioned a United States that extended from the Atlantic to the Pacific Ocean. At the time, the entire United States territory was located between the Atlantic Ocean and the Mississippi River. Much of the land west of the Mississippi River was claimed by Spain, France, or Canada. In 1803, President Jefferson was able to purchase the Missouri River watershed from France via the Louisiana Purchase. This allowed the United States to extend its land claim west from the confluence of the Missouri and Mississippi Rivers to the head waters of the Missouri River at the continental divide in the Rocky Mountains. President Jefferson commissioned William Clark and Meriwether Lewis, in 1803, to explore, discover and describe the Missouri River watershed and find a water route to the Pacific Ocean. The Lewis and Clark Corps of Discovery trip found no such waterway link but did continue to explore the Pacific Northwest lands north and west of the continental divide. The only way that the Pacific Northwest could be claimed as part of the United States was for Americans to settle there before the Canadians did. Starting in the 1820s, many Americans traveled via the Oregon Trail to the Willamette Valley (Land of Flowing Milk and Honey) in Oregon. The primary objectives of this study are to document how the United States: 1) extended its land claims west from the Mississippi River to the North American continental drainage divide;2) established an American claim to the Pacific North West territory;and 3) fulfilled President Jefferson’s vision of a United States extending from the Atlantic to the Pacific Ocean.
基金Supported by the by Research Fund for the Doctoral Program of Higher Education of China(20096121120001)Science Research Program of Educational Commission of Shaanxi Province of China(12JK0781)~~
文摘[Objective] This study aimed to improve classification accuracy of RS images using rough set theory in the growth of crops. [Method] Technique methods of data mining and knowledge discovery have been used. The development status of spatial data mining and knowledge discovery (SDMKD) is presented and data mining techniques in remote sensing were deeply analyzed. Then, SDMKD of TM image are researched using method of rough set, mainly including four methods (rough set, apriori algorithms, inductive learning, clustering). [Result] The proposed method raises efficiency of land use and land reclaim. Based on the SDMKD, the characteristics of TM showed that the information after using rough set is more intensive than that of none. Especially, much better results can be gained while kinds of corps are less than five. [Conclusion] This study laid significant basis for further research on data mining in the growth of crops.