The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research st...The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.展开更多
Risk management in Botswana has been very ineffective at assisting projects to be on time, on budget, and meeting client＇s/buyer＇s expectations. Traditional risk management attempts to manage, control, and direct a ...Risk management in Botswana has been very ineffective at assisting projects to be on time, on budget, and meeting client＇s/buyer＇s expectations. Traditional risk management attempts to manage, control, and direct a project through various phases, from planning and design, through procurement, and to construction. However, the risk management in Botswana seems to be either not implemented or not successful. The project performance in Botswana has a poor performance record. The researchers are attempting to identify why the traditional project/risk management is not working. In analyzing the problem in Botswana, the researchers discovered that the traditional risk management model was theoretically unsound, and designed a new project and risk model, with an entirely different approach to risk. The new model is an outgrowth of the highly successful Performance Information Procurement System （PIPS） and the Information Measurement Theory （IMT）/Kashiwagi Solution Model （KSM） concepts. The approach has been presented to some Botswana clients and academics and has received a favorable response. The development of the new risk model will lead to a huge change in the paradigm for delivering projects in Botswana. The theoretical development of the new risk model is ongoing at the University of Botswana as a part of a doctoral dissertation.展开更多
At 09:15 local time on May 13,2018 in the Republic of Mozambique,Li Zhanshu,a member of the Standing Committee of the Political Bureau of the CPC Central Committee and Chairman of the Standing Committee of the Nationa...At 09:15 local time on May 13,2018 in the Republic of Mozambique,Li Zhanshu,a member of the Standing Committee of the Political Bureau of the CPC Central Committee and Chairman of the Standing Committee of the National People's Congress (NPC),and Veronica Macamo,Speaker of the Republic of Mozambique,attended the founding ceremony of the Chinese aid project for the Confucius Institute and Media Arts Institute in Mozambique.展开更多
Global Software Development （GSD） is a well established field of software engineering with the benefits of a global environment. Software Project Management （SPM） plays a key role in the success of GSD. As a resul...Global Software Development （GSD） is a well established field of software engineering with the benefits of a global environment. Software Project Management （SPM） plays a key role in the success of GSD. As a result, the need has arisen to study and evaluate the downsides of SPM for GSD, to thereby pave the way for the development of new methods, techniques, and tools with which to tackle them. This paper aims to identify and classify research on SPM approaches for GSD that are available in the literature, to identify their current weaknesses and strengths, and to analyze their applications in industry. We performed a Systematic Mapping Study （SMS） based on six classification criteria. Eighty-four papers were selected and analyzed. The results indicate that interest in SPM for GSD has been increasing since 2006. As a class of approaches, the most frequently reported methods （40%） are those used for coordination, planning, and monitoring, along with estimation techniques that can be used to better match a distributed project. SPM for GSD requires further investigation by researchers and practitioners, particularly with respect to cost and time estimations. These findings will help overcome the challenges that must to be considered in future SPM research for GSD, especially regarding collaboration and time-zone differences.展开更多
At present, China's economic development is very rapid, the development of construction projects have been significantly improved. The rapid development of social economy has promoted the rapid development of the ...At present, China's economic development is very rapid, the development of construction projects have been significantly improved. The rapid development of social economy has promoted the rapid development of the construction industry. At the same time, the construction of engineering projects has also brought new challenges, among which the most serious challenge is how to manage the whole process of cost consultation, which has a significant impact on the social economy, enterprise development and individuals. The project consulting management process in the whole project construction not only has a direct impact on the profit of the enterprise, but also has an impact on the effective management of the company's resources. In this respect, it is important and beneficial to study and analyze the consulting management and cost management in the whole construction process of engineering projects.展开更多
China's economic development has reached an unprecedented level, the level of urbanization is also rising rapidly, and the number of construction projects is increasing. With the continuous development and improve...China's economic development has reached an unprecedented level, the level of urbanization is also rising rapidly, and the number of construction projects is increasing. With the continuous development and improvement of China's socialist market economic system, the construction market has been standardized to a certain extent, and the construction project bidding system is developing towards legalization, which creates development opportunities for the construction project bidding agency service industry. The bidding agency service industry can provide professional services for construction units, which can play a very important role in project construction and promote the healthy development of the construction market and bidding towards standardization. Therefore, strengthening the quality management of construction project bidding agency has become the key work of the current construction industry. Next, the article discusses the quality management strategy of construction project bidding agency.展开更多
Based on a series of investigation and Research on the current situation of water conservancy project operation and management, this paper will point out some problems existing in the current management work for the r...Based on a series of investigation and Research on the current situation of water conservancy project operation and management, this paper will point out some problems existing in the current management work for the relevant industry. This paper expounds the actual situation of water conservancy project operation and management in the current society, and analyzes some problems that should be paid attention to in the operation and management of water conservancy projects.展开更多
Water conservancy and hydropower project and the development of our country and people's livelihood has a close connection, but through the actual investigation can be found that there are many problems in the con...Water conservancy and hydropower project and the development of our country and people's livelihood has a close connection, but through the actual investigation can be found that there are many problems in the construction management of the project, the point is extremely unfavorable to ensure the quality of the project. Therefore, in order to improve the construction quality of water conservancy and hydropower projects and fully reflect their social benefits, this paper analyzes the problems existing in the construction management of water conservancy and hydropower projects through the analysis of actual cases and investigations, and focuses on the study of countermeasures, in order to provide a reliable basis for staff to carry out their work.展开更多
Community forest management groups (CFMGs) in Bhutan exhibit participatory forest management practices that recognize the importance of community’s collective participation in the management of natural forest resourc...Community forest management groups (CFMGs) in Bhutan exhibit participatory forest management practices that recognize the importance of community’s collective participation in the management of natural forest resources. This approach involves the community in the stewardship of designated forest areas and resources to ensure sustainable livelihoods and realization of forest conservation objectives. The increase of CFMGs in the country has been successful. However, research on the extent of gender-inclusive participation in CFMGs is either insufficient or missing vis-à-vis the allocation of decision-making power. Therefore, this study analyzes the factors influencing gender participation in CFMGs and their integration into decision-making processes. Primary data were collected from 12 study sites spanning 4 regions, complemented by secondary data from the Forest Department. Regression models were used to identify factors significantly influencing CFMG member participation in decision-making. The empirical results of this study reveal that gender is a significant factor influencing participation in CFMG decision-making. The study concludes that there is insufficient participation of women members in decision-making processes. Therefore, consideration of gender should be included in the development phase of the CFMG policy in addition to promoting awareness of inequity between gender and the promotion of leadership roles for women in CFMGs.展开更多
This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR.The paper explores the traditional project mana...This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR.The paper explores the traditional project management planning and scheduling tools in conjunction with what technology has to offer,to bridge the gap between the traditional project management planning and scheduling tools and what the modern-day business market demands.An analysis of literature covering a wide range of theoretic and empirical studies was performed.The theories underlying various planning and scheduling methods were analysed in relation to the design of projects.A descriptive quantitative secondary data was used as a tool to assess the impact of technology on project planning for scheduling.The analysis of the study’s data was conducted using the principles of cross-tabulation.Inferences were drawn on the significant impact of the use of advanced technological tools on project planning for scheduling in current business time.Organisations can make use of the findings of this study to correctly apply the available advanced technological tools for more efficient schedule management planning to enhance the successful delivery of their projects.Further,this research can be used to provide learning opportunities for new and inexperienced planners and schedulers,and as a basis for further research in this field of knowledge.展开更多
Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models...Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.展开更多
Public-and private-sector organizations have adopted artificial intelligence(AI)to meet the challenges of the Fourth Industrial Revolution.The successful implementation of AI is a challenging task,and previous researc...Public-and private-sector organizations have adopted artificial intelligence(AI)to meet the challenges of the Fourth Industrial Revolution.The successful implementation of AI is a challenging task,and previous research has advocated the need to explore key readiness before AI implementation.The objective of this study is to identify the AI readiness factors explored by different authors in past research.To achieve this,we conducted a rigorous literature review.The approach used in the systematic literature review is also discussed.A rigorous review of 52 studies from various journals and databases(Science Direct,Springer Link,Institute of Electrical and Electronics Engineers,Emerald,and Google Scholar)identified 23 AI readiness factors.The key factors identified were mainly related to organizational information technology infrastructure,top management support,resource availability,collaborative culture,organizational size,organizational capability,compatibility,data quality,and financial budget,whereas the other 15 were potential factors in AI readiness.All of these factors should be considered before the implementation of AI in any organization.The findings also reflect a high failure rate,including AI readiness factors,which are intended to facilitate AI adoption in organizations and reduce the frequency of failures.These factors will aid management in developing an effective strategy for AI implementation in organizations.展开更多
Chloride ions(Cl^(-))have been shown to impact the long-lasting nature of reinforced concrete.However,Cl^(-)that are already bound inside the concrete will not lead to the deterioration of the concrete’s characterist...Chloride ions(Cl^(-))have been shown to impact the long-lasting nature of reinforced concrete.However,Cl^(-)that are already bound inside the concrete will not lead to the deterioration of the concrete’s characteristics.The composition of the cement-based material,including the type of cement and auxiliary materials,greatly influences the ability of the material to bind Cl^(-),and varied components result in varying binding beha-vior of the Cl^(-).Simultaneously,the Cl^(-)binding process in concrete is influenced by both the internal and exterior surroundings,as well as the curing practices.These factors impact the hydration process of the cement and the internal pore structure of the concrete.Currently,mathematical theories and molecular dynamics simulations have increasingly been employed as the prevalent methods for examining the binding behaviors of Cl^(-)in concrete.These techniques are extensively utilized for predicting the lifespan and conducting microscopic studies of reinforced concrete in Cl^(-)settings.This work proposes recommendations for future research based on a summary of experimental and simulation investigations on Cl^(-)binding.Which will offer theoretical guidance for studying the binding of Cl^(-)in cement-based materials.展开更多
BACKGROUND Artificial intelligence(AI)is transforming healthcare by improving diagnostic accuracy and predictive analytics.Periodontal diseases are recognized as risk factors for systemic conditions,including type 2 d...BACKGROUND Artificial intelligence(AI)is transforming healthcare by improving diagnostic accuracy and predictive analytics.Periodontal diseases are recognized as risk factors for systemic conditions,including type 2 diabetes mellitus,cardiovascular disease,Alzheimer’s disease,polycystic ovary syndrome,thyroid dysfunction,and post-coronavirus disease 2019 complications.These conditions exhibit complex bidirectional interactions,underscoring the importance of early detection and risk stratification.Current diagnostic tools often fail to capture these interactions at an early stage,limiting timely intervention.This study hypothesizes that AI-driven approaches can significantly improve early diagnosis and risk prediction of periodontal-systemic interactions,enhancing clinical outcomes.AIM To evaluate AI’s role in diagnosing and predicting periodontal-systemic interactions in studies from 2010 to 2024.METHODS This systematic review followed PRISMA guidelines(2009)and included peerreviewed articles from PubMed,Scopus,and Embase.Studies with large sample sizes(≥500 participants)were selected,focusing on AI models integrating multiomics data and advanced imaging techniques such as cone beam computed tomography and magnetic resonance imaging.Machine learning models processed structured clinical data,deep learning models combined imaging and clinical data,and natural language processing models extracted insights from clinical notes.RESULTS AI applications significantly enhanced diagnostic and predictive accuracy,reducing diagnostic time by 40%and improving predictive accuracy by 25%in periodontal patients with type 2 diabetes mellitus.Studies with sample sizes of 1000-1500 participants reported diagnostic accuracy improvements up to 92%,with specificity and sensitivity rates of 94%and 90%,respectively.Increasing sample sizes over the years reflected advancements in AI,data collection,and model training,reinforcing model reliability.CONCLUSION AI’s integration of multi-omics and imaging data has transformed early diagnosis and risk prediction in periodontal-systemic interactions,improving clinical outcomes and decision-making.展开更多
Bipolar plate is one of the key components of Proton Exchange Membrane Fuel Cell(PEMFC)and a reasonable flow field design for bipolar plate will improve cell performance.Herein,we have reviewed conventional and bionic...Bipolar plate is one of the key components of Proton Exchange Membrane Fuel Cell(PEMFC)and a reasonable flow field design for bipolar plate will improve cell performance.Herein,we have reviewed conventional and bionic flow field designs in recent literature with a focus on bionic flow fields.In particular,the bionic flow fields are summarized into two types:plant-inspired and animal-inspired.The conventional methodology for flow field design takes more time to find the optimum since it is based on experience and trial-and-error methods.In recent years,machine learning has been used to optimize flow field structures of bipolar plates owing to the advantages of excellent prediction and optimization capability.Artificial Intelligence(AI)-assisted flow field design has been summarized into two categories in this review:single-objective optimization and multi-objective optimization.Furthermore,a Threats-Opportunities-Weaknesses-Strengths(TOWS)analysis has been conducted for AI-assisted flow field design.It has been envisioned that AI can afford a powerful tool to solve the complex problem of bionic flow field design and significantly enhance the performance of PEMFC with bionic flow fields.展开更多
Increasing the hole expansion ratio is significant for developing high formability parts.Hole expansion tests were carried out on low carbon hot-rolled steel containing 0.11%Ti,0.072%Ti–0.03%Nb and 0.097%Ti–0.059%Nb...Increasing the hole expansion ratio is significant for developing high formability parts.Hole expansion tests were carried out on low carbon hot-rolled steel containing 0.11%Ti,0.072%Ti–0.03%Nb and 0.097%Ti–0.059%Nb,respectively.The effects of microstructure,texture,crack propagation behavior and second phase precipitation behavior on hole expansion ratio were investigated.The precipitation behavior of TiC and(Ti,Nb)C in austenite and ferrite in three groups of steel samples was calculated theoretically.The results showed that the hole expansion ratios of 0.11Ti,0.072Ti–0.03Nb and 0.097Ti–0.059Nb test steels were 51.73%,51.17%and 66.24%following simulated coiling at 600℃,respectively.The microstructure was mainly polygonal ferrite with a small amount of pearlite.The grain refinement of 0.097Ti–0.059Nb test steel and the low texture ratio of{110}//ND improved the hole expansion ratio.The low overall hole expansion ratio was due to the microstructure inhomogeneity.The microstructure uniformity was improved by the quenching and tempering treatment,and the hole expansion ratio of the three test steels was greatly increased.The fastest precipitation temperatures in the austenitic region of 0.11Ti,0.072Ti–0.03Nb and 0.097Ti–0.059Nb test steels were 880,860 and 830℃,while those in the ferrite region were 680,675 and 675℃,respectively.The addition of Nb element increased the volume free energy,so that the critical core size of the nucleation on the dislocation line increased,resulting in the decrease in the fastest precipitation temperature.展开更多
River ethics,a significant advancement inspired by Chinese President XI Jinping's ecological civilization thought,embodies the philosophical essence of river governance and represents a legacy of innovation by gen...River ethics,a significant advancement inspired by Chinese President XI Jinping's ecological civilization thought,embodies the philosophical essence of river governance and represents a legacy of innovation by generations of water resources professionals.Rooted in river ecology,it offers a framework for advancing modern water governance systems and capabilities.This paper examines eight dimensions of river ethics to provide actionable recommendations:enhancing knowledge systems on water,rivers,and lakes;addressing critical challenges in water governance to strengthen the foundational role of water authorities in ensuring water security,resource management,ecological sustainability and environmental protection;optimizing water project planning to mitigate ecological impacts;ensuring high standards in the lifecycle management of water projects;refining water diversion strategies for precise scheduling;utilizing ecosystem complexity for river and lake restoration;implementing tiered management of water-related disasters;and driving reforms to modernize water governance systems and mechanisms.展开更多
Rockfalls are among the frequent hazards in underground mines worldwide,requiring effective methods for detecting unstable rock blocks to ensure miners’and equipment’s safety.This study proposes a novel approach for...Rockfalls are among the frequent hazards in underground mines worldwide,requiring effective methods for detecting unstable rock blocks to ensure miners’and equipment’s safety.This study proposes a novel approach for identifying potential rockfall zones using infrared thermal imaging and image segmentation techniques.Infrared images of rock blocks were captured at the Draa Sfar deep underground mine in Morocco using the FLUKE TI401 PRO thermal camera.Two segmentation methods were applied to locate the potential unstable areas:the classical thresholding and the K-means clustering model.The results show that while thresholding allows a binary distinction between stable and unstable areas,K-means clustering is more accurate,especially when using multiple clusters to show different risk levels.The close match between the clustering masks of unstable blocks and their corresponding visible light images further validated this.The findings confirm that thermal image segmentation can serve as an alternative method for predicting rockfalls and monitoring geotechnical issues in underground mines.Underground operators worldwide can apply this approach to monitor rock mass stability.However,further research is recommended to enhance these results,particularly through deep learning-based segmentation and object detection models.展开更多
Applying the Public-Private Partnership(PPP)model is indispensable in creating new economic growth points in the public service sector.However,there is still a lack of research on mapping the application of the PPP mo...Applying the Public-Private Partnership(PPP)model is indispensable in creating new economic growth points in the public service sector.However,there is still a lack of research on mapping the application of the PPP model in the new era and context.Therefore,based on reviewing the characteristics and development concepts of the PPP model,this paper uses CiteSpace software to analyze the sample authors,journals,and regions in the Scopus database.This paper aims to explore the current development status,research paradigms,and research gap as well as future trends of the PPP model.The results show that(1)The focus of PPP research has shifted from traditional models such as Build-Operate-Transfer(BOT)and Private Finance Initiatives(PFI)to contemporary themes such as risk management,policy analysis,and project governance.Subsequent research(2014-2018)has emphasized the importance of governance and regulatory frameworks to improve PPP outcomes.(2)The growing academic interest in PPP development in China accounts for 28.78%of the total publications.This surge reflects China's rapid economic growth and highlights the interplay between government regulation and private financing.Key research themes include risk management,performance evaluation,contractual flexibility,and financing mechanisms,particularly concerning the BOT model.(3)Effective risk management,relationship dynamics,and innovative financing strategies are key components of a strong PPP knowledge framework.Collaborative risk sharing and strong relationships between public and private entities are key to project success,and strategic financing partnerships are necessary to cope with the complexity of large infrastructure projects.展开更多
Field development practices in many shale gas regions(e.g.,the Changning region)have revealed a persistent issue of suboptimal reserve utilization,particularly in areas where the effective drainage width of production...Field development practices in many shale gas regions(e.g.,the Changning region)have revealed a persistent issue of suboptimal reserve utilization,particularly in areas where the effective drainage width of production wells is less than half the inter-well spacing(typically 400-500 m).To address this,infill drilling has become a widely adopted and effective strategy for enhancing reservoir contact andmobilizing previously untapped reserves.However,this approach has introduced significant inter-well interference,complicating production dynamics and performance evaluation.The two primary challenges hindering efficient deployment of infill wells are:(1)the quantitative assessment of hydraulic and pressure connectivity between infill wells and their associated parent wells,and(2)the accurate estimation of platform-scale Estimated Ultimate Recovery(EUR)following infill implementation.This study presents a novel framework to quantify inter-well connectivity by deriving a material balance equation tailored for shale gas infill well groups,explicitly incorporating gas adsorption and desorption mechanisms.The model simultaneously evaluates formation pressure evolution and crossflow behavior between wells,offering a robust analytical basis for performance prediction.For infill wells intersecting the drainage boundaries of parent wells,EUR is estimated using an analytical model developed for multi-stage hydraulically fractured horizontal wells.Meanwhile,the EUR of the parent wells is obtained by summing their pre-infill EUR with the final inter-well crossflow contribution.展开更多
文摘The main purpose of this literature review is to understand the effectiveness and impacts of Robotics Process Automation (RPA) on the practices of Project Management (PM). For attaining the purposes of the research study, an extensive literature review was conducted, which helped in gaining a theoretical understanding. These findings were then justified with the help of current and relevant secondary sources in the analysis section. The findings suggested that RPA is quite advantageous for implementing in varied aspects of a business, especially in the field of project management. However, it can pose several challenges, which need to be taken into due consideration by the organizations during execution such as the capabilities of the employees and the abilities of the existing systems to incorporate automation, among others. It was ultimately concluded that RPA is highly advantageous for project management teams but its effective implementation is the key to success.
文摘Risk management in Botswana has been very ineffective at assisting projects to be on time, on budget, and meeting client＇s/buyer＇s expectations. Traditional risk management attempts to manage, control, and direct a project through various phases, from planning and design, through procurement, and to construction. However, the risk management in Botswana seems to be either not implemented or not successful. The project performance in Botswana has a poor performance record. The researchers are attempting to identify why the traditional project/risk management is not working. In analyzing the problem in Botswana, the researchers discovered that the traditional risk management model was theoretically unsound, and designed a new project and risk model, with an entirely different approach to risk. The new model is an outgrowth of the highly successful Performance Information Procurement System （PIPS） and the Information Measurement Theory （IMT）/Kashiwagi Solution Model （KSM） concepts. The approach has been presented to some Botswana clients and academics and has received a favorable response. The development of the new risk model will lead to a huge change in the paradigm for delivering projects in Botswana. The theoretical development of the new risk model is ongoing at the University of Botswana as a part of a doctoral dissertation.
文摘At 09:15 local time on May 13,2018 in the Republic of Mozambique,Li Zhanshu,a member of the Standing Committee of the Political Bureau of the CPC Central Committee and Chairman of the Standing Committee of the National People's Congress (NPC),and Veronica Macamo,Speaker of the Republic of Mozambique,attended the founding ceremony of the Chinese aid project for the Confucius Institute and Media Arts Institute in Mozambique.
基金the research project MPHR PPR1-09the Moroccan MESRSFC and CNRST for their supporta part of the GINSENC-UCLM(TIN2015-70259-C2-1-R)and GINSENG-UMU(TIN2015-70259-C2-2-R)projects,supported by the Spanish Ministry of Economy,Industry,and Competitiveness and European FEDER funds
文摘Global Software Development （GSD） is a well established field of software engineering with the benefits of a global environment. Software Project Management （SPM） plays a key role in the success of GSD. As a result, the need has arisen to study and evaluate the downsides of SPM for GSD, to thereby pave the way for the development of new methods, techniques, and tools with which to tackle them. This paper aims to identify and classify research on SPM approaches for GSD that are available in the literature, to identify their current weaknesses and strengths, and to analyze their applications in industry. We performed a Systematic Mapping Study （SMS） based on six classification criteria. Eighty-four papers were selected and analyzed. The results indicate that interest in SPM for GSD has been increasing since 2006. As a class of approaches, the most frequently reported methods （40%） are those used for coordination, planning, and monitoring, along with estimation techniques that can be used to better match a distributed project. SPM for GSD requires further investigation by researchers and practitioners, particularly with respect to cost and time estimations. These findings will help overcome the challenges that must to be considered in future SPM research for GSD, especially regarding collaboration and time-zone differences.
文摘At present, China's economic development is very rapid, the development of construction projects have been significantly improved. The rapid development of social economy has promoted the rapid development of the construction industry. At the same time, the construction of engineering projects has also brought new challenges, among which the most serious challenge is how to manage the whole process of cost consultation, which has a significant impact on the social economy, enterprise development and individuals. The project consulting management process in the whole project construction not only has a direct impact on the profit of the enterprise, but also has an impact on the effective management of the company's resources. In this respect, it is important and beneficial to study and analyze the consulting management and cost management in the whole construction process of engineering projects.
文摘China's economic development has reached an unprecedented level, the level of urbanization is also rising rapidly, and the number of construction projects is increasing. With the continuous development and improvement of China's socialist market economic system, the construction market has been standardized to a certain extent, and the construction project bidding system is developing towards legalization, which creates development opportunities for the construction project bidding agency service industry. The bidding agency service industry can provide professional services for construction units, which can play a very important role in project construction and promote the healthy development of the construction market and bidding towards standardization. Therefore, strengthening the quality management of construction project bidding agency has become the key work of the current construction industry. Next, the article discusses the quality management strategy of construction project bidding agency.
文摘Based on a series of investigation and Research on the current situation of water conservancy project operation and management, this paper will point out some problems existing in the current management work for the relevant industry. This paper expounds the actual situation of water conservancy project operation and management in the current society, and analyzes some problems that should be paid attention to in the operation and management of water conservancy projects.
文摘Water conservancy and hydropower project and the development of our country and people's livelihood has a close connection, but through the actual investigation can be found that there are many problems in the construction management of the project, the point is extremely unfavorable to ensure the quality of the project. Therefore, in order to improve the construction quality of water conservancy and hydropower projects and fully reflect their social benefits, this paper analyzes the problems existing in the construction management of water conservancy and hydropower projects through the analysis of actual cases and investigations, and focuses on the study of countermeasures, in order to provide a reliable basis for staff to carry out their work.
文摘Community forest management groups (CFMGs) in Bhutan exhibit participatory forest management practices that recognize the importance of community’s collective participation in the management of natural forest resources. This approach involves the community in the stewardship of designated forest areas and resources to ensure sustainable livelihoods and realization of forest conservation objectives. The increase of CFMGs in the country has been successful. However, research on the extent of gender-inclusive participation in CFMGs is either insufficient or missing vis-à-vis the allocation of decision-making power. Therefore, this study analyzes the factors influencing gender participation in CFMGs and their integration into decision-making processes. Primary data were collected from 12 study sites spanning 4 regions, complemented by secondary data from the Forest Department. Regression models were used to identify factors significantly influencing CFMG member participation in decision-making. The empirical results of this study reveal that gender is a significant factor influencing participation in CFMG decision-making. The study concludes that there is insufficient participation of women members in decision-making processes. Therefore, consideration of gender should be included in the development phase of the CFMG policy in addition to promoting awareness of inequity between gender and the promotion of leadership roles for women in CFMGs.
文摘This paper addresses the integrated processes of planning and scheduling of projects using technologies advanced tools as means for managing change in the era of the 4IR.The paper explores the traditional project management planning and scheduling tools in conjunction with what technology has to offer,to bridge the gap between the traditional project management planning and scheduling tools and what the modern-day business market demands.An analysis of literature covering a wide range of theoretic and empirical studies was performed.The theories underlying various planning and scheduling methods were analysed in relation to the design of projects.A descriptive quantitative secondary data was used as a tool to assess the impact of technology on project planning for scheduling.The analysis of the study’s data was conducted using the principles of cross-tabulation.Inferences were drawn on the significant impact of the use of advanced technological tools on project planning for scheduling in current business time.Organisations can make use of the findings of this study to correctly apply the available advanced technological tools for more efficient schedule management planning to enhance the successful delivery of their projects.Further,this research can be used to provide learning opportunities for new and inexperienced planners and schedulers,and as a basis for further research in this field of knowledge.
文摘Traffic forecasting with high precision aids Intelligent Transport Systems(ITS)in formulating and optimizing traffic management strategies.The algorithms used for tuning the hyperparameters of the deep learning models often have accurate results at the expense of high computational complexity.To address this problem,this paper uses the Tree-structured Parzen Estimator(TPE)to tune the hyperparameters of the Long Short-term Memory(LSTM)deep learning framework.The Tree-structured Parzen Estimator(TPE)uses a probabilistic approach with an adaptive searching mechanism by classifying the objective function values into good and bad samples.This ensures fast convergence in tuning the hyperparameter values in the deep learning model for performing prediction while still maintaining a certain degree of accuracy.It also overcomes the problem of converging to local optima and avoids timeconsuming random search and,therefore,avoids high computational complexity in prediction accuracy.The proposed scheme first performs data smoothing and normalization on the input data,which is then fed to the input of the TPE for tuning the hyperparameters.The traffic data is then input to the LSTM model with tuned parameters to perform the traffic prediction.The three optimizers:Adaptive Moment Estimation(Adam),Root Mean Square Propagation(RMSProp),and Stochastic Gradient Descend with Momentum(SGDM)are also evaluated for accuracy prediction and the best optimizer is then chosen for final traffic prediction in TPE-LSTM model.Simulation results verify the effectiveness of the proposed model in terms of accuracy of prediction over the benchmark schemes.
文摘Public-and private-sector organizations have adopted artificial intelligence(AI)to meet the challenges of the Fourth Industrial Revolution.The successful implementation of AI is a challenging task,and previous research has advocated the need to explore key readiness before AI implementation.The objective of this study is to identify the AI readiness factors explored by different authors in past research.To achieve this,we conducted a rigorous literature review.The approach used in the systematic literature review is also discussed.A rigorous review of 52 studies from various journals and databases(Science Direct,Springer Link,Institute of Electrical and Electronics Engineers,Emerald,and Google Scholar)identified 23 AI readiness factors.The key factors identified were mainly related to organizational information technology infrastructure,top management support,resource availability,collaborative culture,organizational size,organizational capability,compatibility,data quality,and financial budget,whereas the other 15 were potential factors in AI readiness.All of these factors should be considered before the implementation of AI in any organization.The findings also reflect a high failure rate,including AI readiness factors,which are intended to facilitate AI adoption in organizations and reduce the frequency of failures.These factors will aid management in developing an effective strategy for AI implementation in organizations.
文摘Chloride ions(Cl^(-))have been shown to impact the long-lasting nature of reinforced concrete.However,Cl^(-)that are already bound inside the concrete will not lead to the deterioration of the concrete’s characteristics.The composition of the cement-based material,including the type of cement and auxiliary materials,greatly influences the ability of the material to bind Cl^(-),and varied components result in varying binding beha-vior of the Cl^(-).Simultaneously,the Cl^(-)binding process in concrete is influenced by both the internal and exterior surroundings,as well as the curing practices.These factors impact the hydration process of the cement and the internal pore structure of the concrete.Currently,mathematical theories and molecular dynamics simulations have increasingly been employed as the prevalent methods for examining the binding behaviors of Cl^(-)in concrete.These techniques are extensively utilized for predicting the lifespan and conducting microscopic studies of reinforced concrete in Cl^(-)settings.This work proposes recommendations for future research based on a summary of experimental and simulation investigations on Cl^(-)binding.Which will offer theoretical guidance for studying the binding of Cl^(-)in cement-based materials.
文摘BACKGROUND Artificial intelligence(AI)is transforming healthcare by improving diagnostic accuracy and predictive analytics.Periodontal diseases are recognized as risk factors for systemic conditions,including type 2 diabetes mellitus,cardiovascular disease,Alzheimer’s disease,polycystic ovary syndrome,thyroid dysfunction,and post-coronavirus disease 2019 complications.These conditions exhibit complex bidirectional interactions,underscoring the importance of early detection and risk stratification.Current diagnostic tools often fail to capture these interactions at an early stage,limiting timely intervention.This study hypothesizes that AI-driven approaches can significantly improve early diagnosis and risk prediction of periodontal-systemic interactions,enhancing clinical outcomes.AIM To evaluate AI’s role in diagnosing and predicting periodontal-systemic interactions in studies from 2010 to 2024.METHODS This systematic review followed PRISMA guidelines(2009)and included peerreviewed articles from PubMed,Scopus,and Embase.Studies with large sample sizes(≥500 participants)were selected,focusing on AI models integrating multiomics data and advanced imaging techniques such as cone beam computed tomography and magnetic resonance imaging.Machine learning models processed structured clinical data,deep learning models combined imaging and clinical data,and natural language processing models extracted insights from clinical notes.RESULTS AI applications significantly enhanced diagnostic and predictive accuracy,reducing diagnostic time by 40%and improving predictive accuracy by 25%in periodontal patients with type 2 diabetes mellitus.Studies with sample sizes of 1000-1500 participants reported diagnostic accuracy improvements up to 92%,with specificity and sensitivity rates of 94%and 90%,respectively.Increasing sample sizes over the years reflected advancements in AI,data collection,and model training,reinforcing model reliability.CONCLUSION AI’s integration of multi-omics and imaging data has transformed early diagnosis and risk prediction in periodontal-systemic interactions,improving clinical outcomes and decision-making.
基金supported by the National Natural Science Foundation of China(52075214and 51975245)the National Key R&D Program of China(No.2022YFE0138500)+3 种基金Jilin Provincial Science&Technology Department(20220201115GX)Key Science and Technology R&D Projects of Jilin Province(2020C023-3)Program of Jilin University Science and Technology Innovative Research Team(2020TD-03)the Fundamental Research Funds for the Central Universities.
文摘Bipolar plate is one of the key components of Proton Exchange Membrane Fuel Cell(PEMFC)and a reasonable flow field design for bipolar plate will improve cell performance.Herein,we have reviewed conventional and bionic flow field designs in recent literature with a focus on bionic flow fields.In particular,the bionic flow fields are summarized into two types:plant-inspired and animal-inspired.The conventional methodology for flow field design takes more time to find the optimum since it is based on experience and trial-and-error methods.In recent years,machine learning has been used to optimize flow field structures of bipolar plates owing to the advantages of excellent prediction and optimization capability.Artificial Intelligence(AI)-assisted flow field design has been summarized into two categories in this review:single-objective optimization and multi-objective optimization.Furthermore,a Threats-Opportunities-Weaknesses-Strengths(TOWS)analysis has been conducted for AI-assisted flow field design.It has been envisioned that AI can afford a powerful tool to solve the complex problem of bionic flow field design and significantly enhance the performance of PEMFC with bionic flow fields.
基金financially supported by the CITIC niobium steel development award Fund(M1656-2021)Central Iron and Steel Research Institute for its independent research and development fund(No.21G62460ZD).
文摘Increasing the hole expansion ratio is significant for developing high formability parts.Hole expansion tests were carried out on low carbon hot-rolled steel containing 0.11%Ti,0.072%Ti–0.03%Nb and 0.097%Ti–0.059%Nb,respectively.The effects of microstructure,texture,crack propagation behavior and second phase precipitation behavior on hole expansion ratio were investigated.The precipitation behavior of TiC and(Ti,Nb)C in austenite and ferrite in three groups of steel samples was calculated theoretically.The results showed that the hole expansion ratios of 0.11Ti,0.072Ti–0.03Nb and 0.097Ti–0.059Nb test steels were 51.73%,51.17%and 66.24%following simulated coiling at 600℃,respectively.The microstructure was mainly polygonal ferrite with a small amount of pearlite.The grain refinement of 0.097Ti–0.059Nb test steel and the low texture ratio of{110}//ND improved the hole expansion ratio.The low overall hole expansion ratio was due to the microstructure inhomogeneity.The microstructure uniformity was improved by the quenching and tempering treatment,and the hole expansion ratio of the three test steels was greatly increased.The fastest precipitation temperatures in the austenitic region of 0.11Ti,0.072Ti–0.03Nb and 0.097Ti–0.059Nb test steels were 880,860 and 830℃,while those in the ferrite region were 680,675 and 675℃,respectively.The addition of Nb element increased the volume free energy,so that the critical core size of the nucleation on the dislocation line increased,resulting in the decrease in the fastest precipitation temperature.
基金Three Gorges Follow-up Work Fund,Grant/Award Number:WE0161A042024National Key Research Program of China,Grant/Award Number:2024YFC3210900。
文摘River ethics,a significant advancement inspired by Chinese President XI Jinping's ecological civilization thought,embodies the philosophical essence of river governance and represents a legacy of innovation by generations of water resources professionals.Rooted in river ecology,it offers a framework for advancing modern water governance systems and capabilities.This paper examines eight dimensions of river ethics to provide actionable recommendations:enhancing knowledge systems on water,rivers,and lakes;addressing critical challenges in water governance to strengthen the foundational role of water authorities in ensuring water security,resource management,ecological sustainability and environmental protection;optimizing water project planning to mitigate ecological impacts;ensuring high standards in the lifecycle management of water projects;refining water diversion strategies for precise scheduling;utilizing ecosystem complexity for river and lake restoration;implementing tiered management of water-related disasters;and driving reforms to modernize water governance systems and mechanisms.
基金supported by the Moroccan Ministry of Higher Education,Scientific Research,and Innovationthe Moroccan Digital Development Agency(DDA)+2 种基金the National Center for Scientific and Technical Research of Morocco(CNRST)through the Al-Khawarizmi projectthe MANAGEM groupMASCIR supporting this project.
文摘Rockfalls are among the frequent hazards in underground mines worldwide,requiring effective methods for detecting unstable rock blocks to ensure miners’and equipment’s safety.This study proposes a novel approach for identifying potential rockfall zones using infrared thermal imaging and image segmentation techniques.Infrared images of rock blocks were captured at the Draa Sfar deep underground mine in Morocco using the FLUKE TI401 PRO thermal camera.Two segmentation methods were applied to locate the potential unstable areas:the classical thresholding and the K-means clustering model.The results show that while thresholding allows a binary distinction between stable and unstable areas,K-means clustering is more accurate,especially when using multiple clusters to show different risk levels.The close match between the clustering masks of unstable blocks and their corresponding visible light images further validated this.The findings confirm that thermal image segmentation can serve as an alternative method for predicting rockfalls and monitoring geotechnical issues in underground mines.Underground operators worldwide can apply this approach to monitor rock mass stability.However,further research is recommended to enhance these results,particularly through deep learning-based segmentation and object detection models.
基金supported by the following projects:Philosophy and Social Sciences Planning Leading Group of Guangdong Province(Project No.GD21CGL31)Research Projects of Department of Education of Guangdong Province(Project No.2023WCXTD037).
文摘Applying the Public-Private Partnership(PPP)model is indispensable in creating new economic growth points in the public service sector.However,there is still a lack of research on mapping the application of the PPP model in the new era and context.Therefore,based on reviewing the characteristics and development concepts of the PPP model,this paper uses CiteSpace software to analyze the sample authors,journals,and regions in the Scopus database.This paper aims to explore the current development status,research paradigms,and research gap as well as future trends of the PPP model.The results show that(1)The focus of PPP research has shifted from traditional models such as Build-Operate-Transfer(BOT)and Private Finance Initiatives(PFI)to contemporary themes such as risk management,policy analysis,and project governance.Subsequent research(2014-2018)has emphasized the importance of governance and regulatory frameworks to improve PPP outcomes.(2)The growing academic interest in PPP development in China accounts for 28.78%of the total publications.This surge reflects China's rapid economic growth and highlights the interplay between government regulation and private financing.Key research themes include risk management,performance evaluation,contractual flexibility,and financing mechanisms,particularly concerning the BOT model.(3)Effective risk management,relationship dynamics,and innovative financing strategies are key components of a strong PPP knowledge framework.Collaborative risk sharing and strong relationships between public and private entities are key to project success,and strategic financing partnerships are necessary to cope with the complexity of large infrastructure projects.
文摘Field development practices in many shale gas regions(e.g.,the Changning region)have revealed a persistent issue of suboptimal reserve utilization,particularly in areas where the effective drainage width of production wells is less than half the inter-well spacing(typically 400-500 m).To address this,infill drilling has become a widely adopted and effective strategy for enhancing reservoir contact andmobilizing previously untapped reserves.However,this approach has introduced significant inter-well interference,complicating production dynamics and performance evaluation.The two primary challenges hindering efficient deployment of infill wells are:(1)the quantitative assessment of hydraulic and pressure connectivity between infill wells and their associated parent wells,and(2)the accurate estimation of platform-scale Estimated Ultimate Recovery(EUR)following infill implementation.This study presents a novel framework to quantify inter-well connectivity by deriving a material balance equation tailored for shale gas infill well groups,explicitly incorporating gas adsorption and desorption mechanisms.The model simultaneously evaluates formation pressure evolution and crossflow behavior between wells,offering a robust analytical basis for performance prediction.For infill wells intersecting the drainage boundaries of parent wells,EUR is estimated using an analytical model developed for multi-stage hydraulically fractured horizontal wells.Meanwhile,the EUR of the parent wells is obtained by summing their pre-infill EUR with the final inter-well crossflow contribution.
