In order to handle the huge amounts of data transmitted through hot spots and to increase cell coverage in buildings, this paper proposes a sectored cellular network with small cells (SCNSC) embedded in each sector. T...In order to handle the huge amounts of data transmitted through hot spots and to increase cell coverage in buildings, this paper proposes a sectored cellular network with small cells (SCNSC) embedded in each sector. Two region types, sectors and variable-radius small cells are classified in an SCNSC macro cell. Because the system capacity is enhanced by using fractional frequency reuse (FFR), the overall channel bandwidth is divided into two or three frequency bands depending on whether the number of sectors in a macro cell is even or odd. For the purpose of topological evaluation on the proposed SCNSC, we build an analytical model using Markov chain theory. The performance measures include new-call blocking and handoff-call dropping probabilities, average waiting times, and normalized throughputs in each sector and its embedded small cell by varying mobile stations’ moving speeds, the number of sectors, and the radius size of an embedded small cell. From the evaluation results, it is demonstrated that adjusting either the number of sectors or the coverage of an embedded cell can satisfy different service demands.展开更多
The deployment of Relay Nodes (RNs) in 4G LTE-A networks, mainly originating from the wireless backhaul link, provides an excellent network planning tool to enhance system performance. Better coordination between the ...The deployment of Relay Nodes (RNs) in 4G LTE-A networks, mainly originating from the wireless backhaul link, provides an excellent network planning tool to enhance system performance. Better coordination between the base station and relays to mitigate inter-cell interference becomes an important aspect of achieving the required system performance, not only in the single-cell scenario, but also in multi-cell scenarios. In this paper, we model and analyze two basic approaches for designing a 4G LTE-A tri-sectored cellular system. The approaches are based on Antenna Selection Sectored Relaying (ASSR) and Beam Selection Sectored Relaying (BSSR). The main purpose of the proposed schemes is to enhance system performance by improving the quality of the wireless relay backhaul link. In this technique, antenna selection takes into consideration Non-Line-Of-Sight (NLOS) communication, whereas BSSR considers the case of Line-Of-Sight (LOS) communication using heuristic beam forming approach. The resource allocation problem has also been investigated for relay based cooperative LTE-A trisectored cell in the downlink. The best possible location for relay node in the sector, power allocation and MIMO channel modeling is formulated as an optimization problem with the aim of maximizing the end to end link rate and the Signal to Interference plus Noise Ratio (SINR) of 4G LTE-A systems. Power allocation/optimization has been solved by means of the duality equation of the stationary Karush-Kuhn-Tucker (KKT) cond让ion and is used to derive optimal values for the beam forming vector on both the relay as well as the access link. The performance of the proposed scheme is verified through simulations carried out using MATLAB software. The simulation results show a significant improvement in the SINR, throughput capacity, and coverage area of the 4G LTE-A cell, while guaranteeing better quality of service.展开更多
It is known that dynamic channel assignment(D CA ) strategy outperforms the fixed channel assignment(FCA) strategy in omni-direc tional antenna cellular systems. One of the most important methods used in DCA w as chan...It is known that dynamic channel assignment(D CA ) strategy outperforms the fixed channel assignment(FCA) strategy in omni-direc tional antenna cellular systems. One of the most important methods used in DCA w as channel borrowing. But with the emergence of cell sectorization and spatial d ivision multiple access(SDMA) which are used to increase the capacity of cel lular systems, the channel assignment faces a series of new problems. In this pa per, a dynamic channel allocation scheme based on sectored cellular systems is p roposed. By introducing intra-cell channel borrowing (borrowing channels from n eighboring sectors) and inter-cell channel borrowing (borrowing channels from n eighboring cells) methods, previous DCA strategies, including compact pattern ba sed channel borrowing(CPCB) and greedy based dynamic channel assignment(GDCA) schemes proposed by the author, are improved significantly. The computer simu lation shows that either intra-cell borrowing scheme or inter-cell borrowing s cheme is efficient enough to uniform and non-uniform traffic service distributi ons.展开更多
Transplantation of the left lateral section(LLS)of the liver is now an established practice for treating advanced diffuse and unresectable focal liver diseases in children,with variants of the LLS primarily used in in...Transplantation of the left lateral section(LLS)of the liver is now an established practice for treating advanced diffuse and unresectable focal liver diseases in children,with variants of the LLS primarily used in infants.However,the surgical challenge of matching the size of an adult donor's graft to the volume of a child's abdomen remains significant.This review explores historical developments,various approaches to measuring the required functional liver mass,and techniques to prevent complications associated with large-for-size grafts in infants.展开更多
Technology is transforming China’s economy,governance and quality of life What fascinates me most about China’s digital development is how deeply it has transformed the economy,not only in cities,but across farms,fa...Technology is transforming China’s economy,governance and quality of life What fascinates me most about China’s digital development is how deeply it has transformed the economy,not only in cities,but across farms,factories,and daily life.Digitalisation here is not a privilege of the elite but a nationwide strategy applied to the primary,secondary,and tertiary sectors with purpose and precision.展开更多
China’s new law offers protections and incentives to private companies Business leaders in China have welcomed the enactment of the Private Sector Promotion Law,calling it a genuine confidence booster.
Simulating U(1) quantum gauge theories with spatial dimensions greater than one is of great physical significance. Here we propose a simple realization of U(1) gauge theory with Rydberg and Rydberg-dressed atom arrays...Simulating U(1) quantum gauge theories with spatial dimensions greater than one is of great physical significance. Here we propose a simple realization of U(1) gauge theory with Rydberg and Rydberg-dressed atom arrays. Within the experimentally accessible range, we find that the various aspects of the U(1) gauge theory can be well simulated, such as the emergence of topological sectors, incommensurability, and the Rokhsar–Kivelson point that hosts deconfined charge excitations and degenerate topological sectors. Our proposal is promising to implement experimentally and exhibits pronounced quantum dynamics.展开更多
The automotive sector is crucial in modern society,facilitating essential transportation needs across personal,commercial,and logistical domains while significantly contributing to national economic development and em...The automotive sector is crucial in modern society,facilitating essential transportation needs across personal,commercial,and logistical domains while significantly contributing to national economic development and employment generation.The transformative impact of Artificial Intelligence(AI)has revolutionised multiple facets of the automotive industry,encompassing intelligent manufacturing processes,diagnostic systems,control mechanisms,supply chain operations,customer service platforms,and traffic management solutions.While extensive research exists on the above aspects of AI applications in automotive contexts,there is a compelling need to synthesise this knowledge comprehensively to guide and inspire future research.This review introduces a novel taxonomic framework that provides a holistic perspective on AI integration into the automotive sector,focusing on next-generation AI methods and their critical implementation aspects.Additionally,the proposed conceptual framework for real-time condition monitoring of electric vehicle subsystems delivers actionable maintenance recommendations to stakeholders,addressing a critical gap in the field.The review highlights that AI has significantly expedited the development of autonomous vehicles regarding navigation,decision-making,and safety features through the use of advanced algorithms and deep learning structures.Furthermore,it identifies advanced driver assistance systems,vehicle health monitoring,and predictive maintenance as the most impactful AI applications,transforming operational safety and maintenance efficiency in modern automotive technologies.The work is beneficial to understanding the various use cases of AI in the different automotive domains,where AI maintains a state-of-the-art for sector-specific applications,providing a strong foundation for meeting Industry 4.0 needs and encouraging AI use among more nascent industry segments.The current work is intended to consolidate previous works while shedding some light on future research directions in promoting further growth of AI-based innovations in the scope of automotive applications.展开更多
In an increasingly complex and interconnected world,where the pace of change is accelerating,governments know that they must re-invent the ways they operate.Governments need to develop partnerships,use innovation,lead...In an increasingly complex and interconnected world,where the pace of change is accelerating,governments know that they must re-invent the ways they operate.Governments need to develop partnerships,use innovation,leadership,and above all,employ skilled workforce to face the challenge of managing in uncertainty and become more agile in its operations.Therefore,agile government is the new shape of government for the new millennium where government must be responsive,flexible,creative,and attuned.One of the key elements of agile government is the right human resources.The aim of this practitioners’paper is to explore how human resources management(HRM)can offer tools needed by policymakers to ensure agility in government operations.This includes attracting,recruiting,and developing workforce to meet the ever-changing priorities.Recruitment,performance management,and employee retention among other tools are necessary for public sector to ensure more agility,while developing agile governance and policies.展开更多
Some 20 years ago,10-yearold Wang Xingxing watched a documentary that featured a bipedal robot designed by Marc Raibert,now president of U.S.-based robot company Boston Dynamics.That moment planted the seed for his fu...Some 20 years ago,10-yearold Wang Xingxing watched a documentary that featured a bipedal robot designed by Marc Raibert,now president of U.S.-based robot company Boston Dynamics.That moment planted the seed for his future in innovation.Today,operating in China’s private sector,Wang’s company,Hangzhou-based Unitree Robotics in Zhejiang Province,is a globally recognized name in producing high-performance,general-purpose quadruped and humanoid robots.展开更多
From an era when even basic necessities like matches and soap had to be imported,China has transformed into the world's largest manufacturing powerhouse with the most comprehensive range of industrial sectors.&quo...From an era when even basic necessities like matches and soap had to be imported,China has transformed into the world's largest manufacturing powerhouse with the most comprehensive range of industrial sectors."China has always adhered to the path of developing the real economy…which has proven to be the right path".展开更多
This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn...This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn in the face of digital disruption.The research uses a quantitative approach focusing on empirical customer data to accurately predict buying trends and adapt marketing techniques.Demand forecasts in the health sector are important,as in every sector.In particular,the material forecast and stock forecasting of the purchasing unit of hospitals are among the areas that receive significant attention.Four classifiers(Random Forest,Logistic Regression,Gradient Boosting and XGBoost)are trained and evaluated using various performance indicators as part of a systematic approach involving Kaggle data collection,preparation and model selection.The results show excellent accuracy in predicting customer attrition,but there are limitations in precision and recall,indicating room for improvement.Confusion matrices provide information about the performance of each classifier,allowing for continuous improvement of predictive analytics techniques.Ethical concerns are rigorously addressed throughout the work process to guarantee appropriate data and machine learning methodologies.The proposals emphasize the proactive use of predictive analytics to identify at-risk customers and implement targeted retention strategies.Incorporating new data sources,improving customer experience,and utilizing collaborative churn management methods are recommended to increase forecast accuracy and business outcomes.Finally,this research provides important insights into the usefulness of predictive analytics for customer churn forecasting as well as practical recommendations for businesses seeking to increase customer retention and reduce churn risk.By leveraging empirical research findings and implementing ethical and rigorous churn control strategies,businesses can achieve long-term success in today’s changing market environment.展开更多
With the rapid development of information technology, the deep integration of the financial sector and the internet has become a key driving force for economic growth. However, while this trend brings convenience, it ...With the rapid development of information technology, the deep integration of the financial sector and the internet has become a key driving force for economic growth. However, while this trend brings convenience, it also poses significant cybersecurity challenges to the financial sector. This study comprehensively analyzes the current state, challenges, and protective measures of cybersecurity in the financial sector, aiming to provide important references for financial institutions in formulating cybersecurity strategies and enhancing risk management.展开更多
This study analyzes the impact of profitability,firm size,and capital structure on firm value within the manufacturing sector.Utilizing a descriptive literature-based method,this research synthesizes various findings ...This study analyzes the impact of profitability,firm size,and capital structure on firm value within the manufacturing sector.Utilizing a descriptive literature-based method,this research synthesizes various findings from previous studies to provide a comprehensive overview of the relationships among these variables.Profitability,often measured by Return on Assets(ROA)or Return on Equity(ROE),is expected to have a positive relationship with firm value as it reflects a company’s ability to generate profits.Firm size,measured by total assets or the logarithm of sales,is also assumed to influence firm value,both through economies of scale and better access to capital markets.Meanwhile,capital structure,measured by Debt to Equity Ratio(DER)or Debt to Asset Ratio(DAR),has a complex impact;while debt can enhance firm value through tax shields,excessive debt levels can increase financial risk and potentially decrease firm value.The synthesis of literature indicates a general consensus on the importance of profitability and firm size in shaping firm value,though there is variation in the significance and direction of the relationship for capital structure variables.This study provides important implications for company managers and investors in making strategic decisions related to resource allocation and selecting an optimal capital structure to enhance firm value.展开更多
Since 2019,global climate governance has become increasingly stringent and has accelerated.The international oil and gas industry,as a high carbon emission sector,has seen its attitudes,approaches,and specific actions...Since 2019,global climate governance has become increasingly stringent and has accelerated.The international oil and gas industry,as a high carbon emission sector,has seen its attitudes,approaches,and specific actions attract considerable attention from various stakeholders.展开更多
The thaw-freezing transition period is crucial to determine the initial sea ice status prior to the freezing season.The heat and mass balance at ice-ocean interface is the major driving process.In this study,we analyz...The thaw-freezing transition period is crucial to determine the initial sea ice status prior to the freezing season.The heat and mass balance at ice-ocean interface is the major driving process.In this study,we analyze heat fluxes profile through the ice from ice surface down to basal ice-ocean interface using the data measured by 11 thermistor stringbased ice mass balance buoys(IMBs)between September and December 2018 in the Pacific sector of Arctic Ocean.The conductive heat fluxes gradually decreased from surface downward through the lower ice layers due to the thermal inertia and energy storage in the brine pockets.At the ice bottom,the oceanic heat flux decreased from(5.9±1.3)W/m^(2)in mid-September to(1.8±0.8)W/m^(2)by the end of December in response to the decreasing of available absorbed solar radiation regulated by the latitude and sea ice concentration.The initial ice thicknesses can explain the onset of ice basal growth by 44.8%(R^(2)).From 15 September to the average onset of ice basal growth by 13 November,the accumulated heat fluxes released from the ice surface to the atmosphere,caused by the cooling of the ice layer,and from the ocean to the ice bottom were estimated as 25.73 MJ/m^(2),6.49 MJ/m^(2),and 20.30 MJ/m^(2),respectively.The latter two components mainly play the roles in buffering the onset of ice basal growth.展开更多
The optimal allocation of foreign resources requires a minimum level of domestic development,including financial development to benefit from the potential benefits of foreign direct investment.This study discusses the...The optimal allocation of foreign resources requires a minimum level of domestic development,including financial development to benefit from the potential benefits of foreign direct investment.This study discusses the mediating role of financial development in the effect of foreign direct investment on economic growth and establishes the banking sector threshold for the 18 least developed African countries over the period 2000 to 2020.We used the generalized method of moments(GMM)and the threshold regression(TR)as part of the dynamic panel data model.The results show the non-significant contribution of foreign direct investment and the banking sector to economic growth.After interaction,the effect of foreign direct investment becomes positive but not significant.However,the coefficient of the interaction variable is significantly negative.This implies that the financial system is unable to allocate foreign resources efficiently.For this reason,this paper resorted to applying the threshold regression to determine the minimum threshold of the banking sector and established a threshold of 74.58%.It therefore becomes necessary for the 18 least developed African countries to develop the financial system in order to get full benefits of foreign direct investment.展开更多
Chinese President Xi Jinping urges healthy,high-quality development of private sector Xi Jinping,general secretary of the Communist Party of China(CPC)Central Committee,on February 17 urged efforts to promote the heal...Chinese President Xi Jinping urges healthy,high-quality development of private sector Xi Jinping,general secretary of the Communist Party of China(CPC)Central Committee,on February 17 urged efforts to promote the healthy and high-quality development of the country’s private sector.展开更多
China’s economy reached its 2024 growth target despite a complex domestic and global landscape,providing much needed certainty and confidence to the global economy.The annual Gross Domestic Product(GDP)reached RMB 13...China’s economy reached its 2024 growth target despite a complex domestic and global landscape,providing much needed certainty and confidence to the global economy.The annual Gross Domestic Product(GDP)reached RMB 13,490.84 billion,representing a 5.0%increase over the previous year in constant prices.By sector,the added value of the primary sector was RMB 914.14 billion,up by 3.5%year-on year;the secondary sector’s added value was RMB 4,920.87 billion,up by 5.3%;and the tertiary sector’s added value was RMB 7,655.83 billion,up by 5.0%.展开更多
文摘In order to handle the huge amounts of data transmitted through hot spots and to increase cell coverage in buildings, this paper proposes a sectored cellular network with small cells (SCNSC) embedded in each sector. Two region types, sectors and variable-radius small cells are classified in an SCNSC macro cell. Because the system capacity is enhanced by using fractional frequency reuse (FFR), the overall channel bandwidth is divided into two or three frequency bands depending on whether the number of sectors in a macro cell is even or odd. For the purpose of topological evaluation on the proposed SCNSC, we build an analytical model using Markov chain theory. The performance measures include new-call blocking and handoff-call dropping probabilities, average waiting times, and normalized throughputs in each sector and its embedded small cell by varying mobile stations’ moving speeds, the number of sectors, and the radius size of an embedded small cell. From the evaluation results, it is demonstrated that adjusting either the number of sectors or the coverage of an embedded cell can satisfy different service demands.
文摘The deployment of Relay Nodes (RNs) in 4G LTE-A networks, mainly originating from the wireless backhaul link, provides an excellent network planning tool to enhance system performance. Better coordination between the base station and relays to mitigate inter-cell interference becomes an important aspect of achieving the required system performance, not only in the single-cell scenario, but also in multi-cell scenarios. In this paper, we model and analyze two basic approaches for designing a 4G LTE-A tri-sectored cellular system. The approaches are based on Antenna Selection Sectored Relaying (ASSR) and Beam Selection Sectored Relaying (BSSR). The main purpose of the proposed schemes is to enhance system performance by improving the quality of the wireless relay backhaul link. In this technique, antenna selection takes into consideration Non-Line-Of-Sight (NLOS) communication, whereas BSSR considers the case of Line-Of-Sight (LOS) communication using heuristic beam forming approach. The resource allocation problem has also been investigated for relay based cooperative LTE-A trisectored cell in the downlink. The best possible location for relay node in the sector, power allocation and MIMO channel modeling is formulated as an optimization problem with the aim of maximizing the end to end link rate and the Signal to Interference plus Noise Ratio (SINR) of 4G LTE-A systems. Power allocation/optimization has been solved by means of the duality equation of the stationary Karush-Kuhn-Tucker (KKT) cond让ion and is used to derive optimal values for the beam forming vector on both the relay as well as the access link. The performance of the proposed scheme is verified through simulations carried out using MATLAB software. The simulation results show a significant improvement in the SINR, throughput capacity, and coverage area of the 4G LTE-A cell, while guaranteeing better quality of service.
文摘It is known that dynamic channel assignment(D CA ) strategy outperforms the fixed channel assignment(FCA) strategy in omni-direc tional antenna cellular systems. One of the most important methods used in DCA w as channel borrowing. But with the emergence of cell sectorization and spatial d ivision multiple access(SDMA) which are used to increase the capacity of cel lular systems, the channel assignment faces a series of new problems. In this pa per, a dynamic channel allocation scheme based on sectored cellular systems is p roposed. By introducing intra-cell channel borrowing (borrowing channels from n eighboring sectors) and inter-cell channel borrowing (borrowing channels from n eighboring cells) methods, previous DCA strategies, including compact pattern ba sed channel borrowing(CPCB) and greedy based dynamic channel assignment(GDCA) schemes proposed by the author, are improved significantly. The computer simu lation shows that either intra-cell borrowing scheme or inter-cell borrowing s cheme is efficient enough to uniform and non-uniform traffic service distributi ons.
文摘Transplantation of the left lateral section(LLS)of the liver is now an established practice for treating advanced diffuse and unresectable focal liver diseases in children,with variants of the LLS primarily used in infants.However,the surgical challenge of matching the size of an adult donor's graft to the volume of a child's abdomen remains significant.This review explores historical developments,various approaches to measuring the required functional liver mass,and techniques to prevent complications associated with large-for-size grafts in infants.
文摘Technology is transforming China’s economy,governance and quality of life What fascinates me most about China’s digital development is how deeply it has transformed the economy,not only in cities,but across farms,factories,and daily life.Digitalisation here is not a privilege of the elite but a nationwide strategy applied to the primary,secondary,and tertiary sectors with purpose and precision.
文摘China’s new law offers protections and incentives to private companies Business leaders in China have welcomed the enactment of the Private Sector Promotion Law,calling it a genuine confidence booster.
基金supported by the National Key Research and Development Program of China (Grant Nos. 2022YFA1404204 and 2022YFA1403700)the National Natural Science Foundation of China (Grant Nos. 12274086, 11534001 and 11925402)+5 种基金funding from the National Science Foundation of China (Grant Nos. 12274046, 11874094, 12147102, and 12347101)Chongqing Natural Science Foundation (Grant No. CSTB2022NSCQ-JQX0018)the Fundamental Research Funds for the Central Universities (Grant No. 2021CDJZYJH-003)Xiaomi Foundation/Xiaomi Young Talents Programthe supports of the start-up funding of Westlake Universitysupport from the Natural Sciences and Engineering Research Council of Canada (NSERC) through Discovery Grants。
文摘Simulating U(1) quantum gauge theories with spatial dimensions greater than one is of great physical significance. Here we propose a simple realization of U(1) gauge theory with Rydberg and Rydberg-dressed atom arrays. Within the experimentally accessible range, we find that the various aspects of the U(1) gauge theory can be well simulated, such as the emergence of topological sectors, incommensurability, and the Rokhsar–Kivelson point that hosts deconfined charge excitations and degenerate topological sectors. Our proposal is promising to implement experimentally and exhibits pronounced quantum dynamics.
基金The authors are grateful to the Universiti Malaysia Pahang Al-Sultan Abdullah and the Malaysian Ministry of Higher Education for their generous support and funding provided through University Distinguished Research Grants(Project No.RDU223016)as well as financial assistance provided through the Fundamental Research Grant Scheme(No.FRGS/1/2022/TK10/UMP/02/35).
文摘The automotive sector is crucial in modern society,facilitating essential transportation needs across personal,commercial,and logistical domains while significantly contributing to national economic development and employment generation.The transformative impact of Artificial Intelligence(AI)has revolutionised multiple facets of the automotive industry,encompassing intelligent manufacturing processes,diagnostic systems,control mechanisms,supply chain operations,customer service platforms,and traffic management solutions.While extensive research exists on the above aspects of AI applications in automotive contexts,there is a compelling need to synthesise this knowledge comprehensively to guide and inspire future research.This review introduces a novel taxonomic framework that provides a holistic perspective on AI integration into the automotive sector,focusing on next-generation AI methods and their critical implementation aspects.Additionally,the proposed conceptual framework for real-time condition monitoring of electric vehicle subsystems delivers actionable maintenance recommendations to stakeholders,addressing a critical gap in the field.The review highlights that AI has significantly expedited the development of autonomous vehicles regarding navigation,decision-making,and safety features through the use of advanced algorithms and deep learning structures.Furthermore,it identifies advanced driver assistance systems,vehicle health monitoring,and predictive maintenance as the most impactful AI applications,transforming operational safety and maintenance efficiency in modern automotive technologies.The work is beneficial to understanding the various use cases of AI in the different automotive domains,where AI maintains a state-of-the-art for sector-specific applications,providing a strong foundation for meeting Industry 4.0 needs and encouraging AI use among more nascent industry segments.The current work is intended to consolidate previous works while shedding some light on future research directions in promoting further growth of AI-based innovations in the scope of automotive applications.
文摘In an increasingly complex and interconnected world,where the pace of change is accelerating,governments know that they must re-invent the ways they operate.Governments need to develop partnerships,use innovation,leadership,and above all,employ skilled workforce to face the challenge of managing in uncertainty and become more agile in its operations.Therefore,agile government is the new shape of government for the new millennium where government must be responsive,flexible,creative,and attuned.One of the key elements of agile government is the right human resources.The aim of this practitioners’paper is to explore how human resources management(HRM)can offer tools needed by policymakers to ensure agility in government operations.This includes attracting,recruiting,and developing workforce to meet the ever-changing priorities.Recruitment,performance management,and employee retention among other tools are necessary for public sector to ensure more agility,while developing agile governance and policies.
文摘Some 20 years ago,10-yearold Wang Xingxing watched a documentary that featured a bipedal robot designed by Marc Raibert,now president of U.S.-based robot company Boston Dynamics.That moment planted the seed for his future in innovation.Today,operating in China’s private sector,Wang’s company,Hangzhou-based Unitree Robotics in Zhejiang Province,is a globally recognized name in producing high-performance,general-purpose quadruped and humanoid robots.
文摘From an era when even basic necessities like matches and soap had to be imported,China has transformed into the world's largest manufacturing powerhouse with the most comprehensive range of industrial sectors."China has always adhered to the path of developing the real economy…which has proven to be the right path".
文摘This study evaluates the use of predictive analytics to forecast customer turnover in subscription-based Services in order to develop a predictive model to help small and medium-sized enterprises manage customer churn in the face of digital disruption.The research uses a quantitative approach focusing on empirical customer data to accurately predict buying trends and adapt marketing techniques.Demand forecasts in the health sector are important,as in every sector.In particular,the material forecast and stock forecasting of the purchasing unit of hospitals are among the areas that receive significant attention.Four classifiers(Random Forest,Logistic Regression,Gradient Boosting and XGBoost)are trained and evaluated using various performance indicators as part of a systematic approach involving Kaggle data collection,preparation and model selection.The results show excellent accuracy in predicting customer attrition,but there are limitations in precision and recall,indicating room for improvement.Confusion matrices provide information about the performance of each classifier,allowing for continuous improvement of predictive analytics techniques.Ethical concerns are rigorously addressed throughout the work process to guarantee appropriate data and machine learning methodologies.The proposals emphasize the proactive use of predictive analytics to identify at-risk customers and implement targeted retention strategies.Incorporating new data sources,improving customer experience,and utilizing collaborative churn management methods are recommended to increase forecast accuracy and business outcomes.Finally,this research provides important insights into the usefulness of predictive analytics for customer churn forecasting as well as practical recommendations for businesses seeking to increase customer retention and reduce churn risk.By leveraging empirical research findings and implementing ethical and rigorous churn control strategies,businesses can achieve long-term success in today’s changing market environment.
文摘With the rapid development of information technology, the deep integration of the financial sector and the internet has become a key driving force for economic growth. However, while this trend brings convenience, it also poses significant cybersecurity challenges to the financial sector. This study comprehensively analyzes the current state, challenges, and protective measures of cybersecurity in the financial sector, aiming to provide important references for financial institutions in formulating cybersecurity strategies and enhancing risk management.
文摘This study analyzes the impact of profitability,firm size,and capital structure on firm value within the manufacturing sector.Utilizing a descriptive literature-based method,this research synthesizes various findings from previous studies to provide a comprehensive overview of the relationships among these variables.Profitability,often measured by Return on Assets(ROA)or Return on Equity(ROE),is expected to have a positive relationship with firm value as it reflects a company’s ability to generate profits.Firm size,measured by total assets or the logarithm of sales,is also assumed to influence firm value,both through economies of scale and better access to capital markets.Meanwhile,capital structure,measured by Debt to Equity Ratio(DER)or Debt to Asset Ratio(DAR),has a complex impact;while debt can enhance firm value through tax shields,excessive debt levels can increase financial risk and potentially decrease firm value.The synthesis of literature indicates a general consensus on the importance of profitability and firm size in shaping firm value,though there is variation in the significance and direction of the relationship for capital structure variables.This study provides important implications for company managers and investors in making strategic decisions related to resource allocation and selecting an optimal capital structure to enhance firm value.
文摘Since 2019,global climate governance has become increasingly stringent and has accelerated.The international oil and gas industry,as a high carbon emission sector,has seen its attitudes,approaches,and specific actions attract considerable attention from various stakeholders.
基金The National Key Research and Development Program of China under contract No.2021YFC2803300the National Natural Science Foundation of China under contract No.42325604+1 种基金the Ministry of Industry and Information Technology of China under contract No.CBG2N21-2-1Program of Shanghai Academic/Technology Research Leader under contract No.22XD1403600.
文摘The thaw-freezing transition period is crucial to determine the initial sea ice status prior to the freezing season.The heat and mass balance at ice-ocean interface is the major driving process.In this study,we analyze heat fluxes profile through the ice from ice surface down to basal ice-ocean interface using the data measured by 11 thermistor stringbased ice mass balance buoys(IMBs)between September and December 2018 in the Pacific sector of Arctic Ocean.The conductive heat fluxes gradually decreased from surface downward through the lower ice layers due to the thermal inertia and energy storage in the brine pockets.At the ice bottom,the oceanic heat flux decreased from(5.9±1.3)W/m^(2)in mid-September to(1.8±0.8)W/m^(2)by the end of December in response to the decreasing of available absorbed solar radiation regulated by the latitude and sea ice concentration.The initial ice thicknesses can explain the onset of ice basal growth by 44.8%(R^(2)).From 15 September to the average onset of ice basal growth by 13 November,the accumulated heat fluxes released from the ice surface to the atmosphere,caused by the cooling of the ice layer,and from the ocean to the ice bottom were estimated as 25.73 MJ/m^(2),6.49 MJ/m^(2),and 20.30 MJ/m^(2),respectively.The latter two components mainly play the roles in buffering the onset of ice basal growth.
文摘The optimal allocation of foreign resources requires a minimum level of domestic development,including financial development to benefit from the potential benefits of foreign direct investment.This study discusses the mediating role of financial development in the effect of foreign direct investment on economic growth and establishes the banking sector threshold for the 18 least developed African countries over the period 2000 to 2020.We used the generalized method of moments(GMM)and the threshold regression(TR)as part of the dynamic panel data model.The results show the non-significant contribution of foreign direct investment and the banking sector to economic growth.After interaction,the effect of foreign direct investment becomes positive but not significant.However,the coefficient of the interaction variable is significantly negative.This implies that the financial system is unable to allocate foreign resources efficiently.For this reason,this paper resorted to applying the threshold regression to determine the minimum threshold of the banking sector and established a threshold of 74.58%.It therefore becomes necessary for the 18 least developed African countries to develop the financial system in order to get full benefits of foreign direct investment.
文摘Chinese President Xi Jinping urges healthy,high-quality development of private sector Xi Jinping,general secretary of the Communist Party of China(CPC)Central Committee,on February 17 urged efforts to promote the healthy and high-quality development of the country’s private sector.
文摘China’s economy reached its 2024 growth target despite a complex domestic and global landscape,providing much needed certainty and confidence to the global economy.The annual Gross Domestic Product(GDP)reached RMB 13,490.84 billion,representing a 5.0%increase over the previous year in constant prices.By sector,the added value of the primary sector was RMB 914.14 billion,up by 3.5%year-on year;the secondary sector’s added value was RMB 4,920.87 billion,up by 5.3%;and the tertiary sector’s added value was RMB 7,655.83 billion,up by 5.0%.
