Multiple Projects Research Articles

Supervised learning to covering cost risk through post-construction evaluation of transportation projects by project delivery methods

PurposeThe main objectives of this study are to (1) develop and test a cost contingency learning model that can generalize initially estimated contingency amounts by analyzing back the multiple project changes experienced and (2) uncover the hidden link of the learning networks using a curve-fitting technique for the post-construction evaluation of cost contingency amounts to cover cost risk for future projects.Design/methodology/approachBased on a total of 1,434 datapoints collected from DBB and DB transportation projects, a post-construction cost contingency learning model was developed using feedforward neural networks (FNNs). The developed model generalizes cost contingencies under two different project delivery methods (i.e. DBB and DB). The learning outputs of generalized contingency amounts were curve-fitted with the post-construction schedule and cost information, specifically aiming at uncovering the hidden link of the FNNs. Two different bridge projects completed under DBB and DB were employed as illustrative examples to demonstrate how the proposed modeling framework could be implemented.FindingsWith zero or negative values of change growth experienced, it was concluded that cost contingencies were overallocated at the contract stage. On the other hand, with positive values of change growth experienced, it was evaluated that set cost contingencies were insufficient from the post-construction standpoint. Taken together, this study proposed a tangible post-construction evaluation technique that can produce not only the plausible ranges of cost contingencies but also the exact amounts of contingency under DBB and DB contracts.Originality/valueAs the first of its kind, the proposed modeling framework provides agency engineers and decision-makers with tangible assessments of cost contingency coupled with experienced risks at the post-construction stage. Use of the proposed model will help them evaluate the allocation of appropriate contingency amounts. If an agency allocates a cost contingency benchmarked from similar projects on aspects of the base estimate and experienced risks, a set contingency can be defended more reliably. The main findings of this study contribute to post-construction cost contingency verification, enabling agency engineers and decision-makers to systematically evaluate set cost contingencies during the post-construction assessment stage and achieving further any enhanced level of confidence for future cost contingency plans.

An insight into Indonesia's progress for newborn screening program: What is currently going on

ObjectivesIn this literature review, we describe the progress of Indonesia's NBS program (which is heavily centered on CH screening), its current pilot projects, and what lies ahead for this program. SettingSince its conception began with congenital hypothyroidism (CH) screening, Indonesia has experienced plodding progress in NBS. There is a shortage of literature discussing the history, or the lack of, and journey of NBS in Indonesia. MethodsWe searched for literature in Pubmed and Google Scholar with keywords such as “Newborn Screening, “Neonatal Screening," “Indonesia," “Asia Pacific," “Congenital Hypothyroidism," “Congenital Adrenal Hyperplasia,””Critical Congenital Heart Disease,” “Hearing Loss,” and “Inborn Error of Metabolism.” ResultsThe only mandatory and regulated NBS program in Indonesia is congenital hypothyroid (CH) screening, with some pilot projects being conducted on screening for congenital adrenal hyperplasia (CAH), critical congenital heart disease (CCHD), hearing loss, and to a lesser extent, inborn error of metabolisms (IEMs). ConclusionDespite the evidence and benefits, the government does not mandate or regulate newborn diseases such as CHD, CAH, hearing loss, and IEMs. The lack of regulation exists despite multiple pilot projects and studies showing a benefit in at least trying to screen newborns for those conditions.

A 3D local feature description algorithm based on point distribution

It is well known that the local feature descriptor is playing an important role in 3D image recognition. But the current local feature descriptors have poor ability to describe target features in situations such as noise interference, be obscured, and changes in data resolution. On the basis of point distribution, we propose a new 3D local feature descriptor, the Point Distribution Signature Histogram(PDSH), which is relatively simple and easy to implement and has a fast identification speed by simplifying Local Reference Frame(LRF). We also rotate the local surface of the point cloud from multiple angles and project them onto three coordinate planes of the LRF. The projection planes are segmented at the same angle, and the distance information of the edge points and the count of projected points in each segment are statistically accumulated. Finally, the sub-feature vectors of the three coordinate planes are concatenated to obtain the feature descriptor of the key points. Experimental results show that our PDSH descriptor achieves a descriptiveness of 98 % on the pollution-free point cloud data set and better performance than the classical descriptors.

Assessment of hydrological parameter uncertainty versus climate projection spread on urban streamflow and floods

Assessing the uncertainty associated with projections of climate change impacts on hydrological processes can be challenging due to multiple sources of uncertainties within and between climate and hydrological models. Here we compare the effects of parameter uncertainty in a hydrological model to inter-model spread from climate projections on hydrological projections of urban streamflow in response to climate change. Four hourly climate model outputs from the RCP8.5 scenario were used as inputs to a distributed hydrologic model (SWMM) calibrated using a Bayesian approach to summarize uncertainty intervals for both model parameters and streamflow predictions. Continuous simulation of 100 years of streamflow generated 90 % prediction intervals for selected exceedance probabilities and flood frequencies prediction intervals from single climate models were compared to the inter climate model spread resulting from a single calibration of the SWMM model. There will be an increase in future flows with exceedance probabilities of 0.5 %-50 % and 2-year floods for all climate projections and all 21st century periods, for the modeled Ohio (USA) watershed. Floods with return periods of ≥ 5 years increase relative to the historical from mid-century (2046–2070) for most climate projections and parameter sets. Across the four climate models, the 90th percentile increase in flows and floods ranges from 17-108 % and 11–63 % respectively. Using multiple calibration parameter sets and climate projections helped capture the most likely hydrologic outcomes, as well as upper and lower bounds of future predictions. For this watershed, hydrological model parameter uncertainty was large relative to inter climate model spread, for near term moderate to high flows and for many flood frequencies. The uncertainty quantification and comparison approach developed here may be helpful in decision-making and design of engineering infrastructure in urban watersheds.

Circular (de)construction matchmaking: A matter of space and time

AbstractIndustrial symbiosis (IS) facilitates the transition toward a circular built environment. Following IS principles, multiple buildings can be symbiotically linked via closed‐loop material flows beyond the boundaries of individual projects. However, there are few IS matchmaking methods that support the identification of IS opportunities among multiple deconstruction and construction projects. This research develops an agent‐based model to fill this gap. The agent architecture is designed based on the concept of shearing layers. Circularity hubs are proposed to support IS matchmaking by allowing larger transportation ranges and keeping IS requests active for longer periods. The model's applicability is demonstrated through an industrial–urban symbiosis case in Enschede, the Netherlands. The model simulates the spatial–temporal dynamics of IS matchmaking as an emergent phenomenon under future scenarios. The results show operational evidence of IS matchmaking via the strategic implementation of circularity hubs. Overall, this research provides a new methodological perspective to explore the circularity in the built environment at scale.

Effect of Previous Accidents and Near-Miss Incidents on Risk Perceptions of Construction Workers

ABSTRACT The construction industry suffers from a high number of occupational fatalities and injuries, despite ongoing efforts by practitioners and researchers to improve. Overall, the safety improvement approaches in the industry have been reactive with reliance on historical data. Recently, the focus of safety improvement has shifted to being proactive using leading indicators such as risk perception and safety control. The leading indicators are perception-based and limited empirical investigation has been conducted on the impact of previous accidents on the safety perceptions of the construction workers. This quantitative study used survey questionnaires to collect data from workers of multiple healthcare projects in the Southwestern region of the US. The survey questionnaires were developed based on existing instruments and gathered data was analyzed to test hypotheses related to the impact of previous incident experience on the safety perceptions of the construction workers. Analyses revealed a significant correlation between previous incident experience and workers’ perception of safety risk. The study did not find a significant association between workers’ previous incident experience and their perception of safety control. This suggests that workers’ perception of their capability to control safety risks may not be significantly influenced by their past experiences of accidents or near-miss incidents.

A Method for calculating jacking force of parallel pipes considering Soil Arching Effect and Pipe-Slurry-Soil Interaction

For multiple parallel pipe jacking projects, the calculation of the jacking force is crucial for design and construction. This paper presented a method for the calculation method of the jacking force required by each pipe, which includes the jacking resistance of the excavation face and the side friction around pipe. Firstly, the improved composite arch model in front of the excavation face was established under the limit support state, and jacking resistance of the excavation face was obtained by calculating the limit support pressure according to the model. Then, based on four typical pipe-slurry-soil contact modes, an improved calculation method for side friction was proposed and then corrected for multiple pipes under mutual disturbance. The reliability of the calculation method was subsequently proven by comparison with the model test results and engineering case data available in the literature. The mutual disturbance level among pipes decreases with increasing Poisson’s ratio of surrounding soil. Compared with a single pipe under the same conditions, pipe under the influence of mutual disturbance usually requires a larger force for jacking, so that the required jacking force of the following pipes in multiple parallel pipe jacking projects is usually larger than that of the initial pipe.

X-ray phase-contrast tomography of cells manipulated with an optical stretcher.

X-rays can penetrate deeply into biological cells and thus allow for examination of their internal structures with high spatial resolution. In this study, X-ray phase-contrast imaging and tomography is combined with an X-ray-compatible optical stretcher and microfluidic sample delivery. Using this setup, individual cells can be kept in suspension while they are examined with the X-ray beam at asynchrotron. From the recorded holograms, 2D phase shift images that are proportional to the projected local electron density of the investigated cell can be calculated. From the tomographic reconstruction of multiple such projections the 3D electron density can be obtained. The cells can thus be studied in a hydrated or even living state, thus avoiding artifacts from freezing, drying or embedding, and can in principle also be subjected to different sample environments or mechanical strains. This combination of techniques is applied to living as well as fixed and stained NIH3T3 mouse fibroblasts and the effect of the beam energy on the phase shifts is investigated. Furthermore, a 3D algebraic reconstruction scheme and a dedicated mathematical description is used to follow the motion of the trapped cells in the optical stretcher for multiple rotations.

Assessment of Heavy Metal Contamination in Irrigated Farmland and Associated Health Risks in Kano State, Nigeria: A Review

Study’s Excerpt/Novelty Soil pollution in Kano State is primarily caused by the use of contaminated irrigation water and household/industrial sludge as fertilizers, leading to heavy metal contamination in crops. The buildup of heavy metals in soil and crops poses significant health risks and potential food insecurity, necessitating multiple research projects to assess and address the situation. Implement regular monitoring of heavy metal levels in soils and crops, and establish guidelines for safe cultivation and consumption of vegetables grown on contaminated soils to mitigate health risks. Full Abstract The primary causes of soil pollution in Kano state, which leads to heavy metal contamination in crops grown from such soils, are using contaminated water for irrigation and household and industrial sludge as fertilizers. Along waterways where untreated wastewater flows, vegetables are planted. To determine the existing situation and potential preventative and remediation measures, it has become necessary to conduct multiple research projects on the levels of heavy metals in the soil and plants grown in Kano state, Nigeria. In light of this, this study has focused on the present and potential state of heavy metal buildup in soils and farmed crops and the potential health risks that may arise from this, including food insecurity. The main findings of the conducted research were that regular monitoring of the level of heavy metals in soils and crops should be established, and guidelines for the cultivation and consumption of leafy vegetables grown on contaminated soils should be set equally to avoid health risks.

Remanufacturing insulated glazing: five levers through value network mapping of two pioneering projects

Abstract In façade retrofit projects, several challenges are hindering the reuse of insulated glazing. As a result, 1.5 million tons of insulated glass units (IGUs) are being downcycled or landfilled in Europe each year. Yet, niche practices in which IGUs are remanufactured prove that recurring challenges can be tackled. Therefore, this research identifies levers to overcome challenges from two pioneering projects: the swimming pool in Stuttgart-Feuerbach (Germany) and elderly home Betsy Perk (The Netherlands). Through interviews, a detailed analysis of the IGU remanufacturing process is conducted, mapping material flows, steps of the remanufacturing process, the value network (showing roles involved and their main interactions in materials, money, and intangible flows), and specific answers to pre-specified recurring challenges. These potential levers include assigning a reuse coordinator, building a complementary network with early involvement, conducting a feasibility study, specifying reuse ambitions in the tendering documents and/or quotations, and organising the logistics pragmatically. Instead of being one-on-one solutions, the identified levers could tackle several challenges at once. Altogether the results of this study provide a better understanding of reuse practices of façade components. In further research, multiple projects will be compared allowing practitioners to overcome the recurring challenges and to increase reuse in the construction sector.

Integration of a nurse practitioner and physician associate leadership structure within an academic cancer center.

Nurse practitioners and physician associates are an essential part of the multidisciplinary cancer care team with expanding and evolving roles within cancer specialties. As these clinicians flourish, a parallel need for leadership rises to optimize scope of practice, mentor, and retain this crucial workforce. The purpose of this quality improvement project was to development a nurse practitioner and physician associate leadership structure within an academic cancer center. Development of this nurse practitioner and physician associate leadership structure was guided by transformational leadership theory. In collaboration with nursing, business, and physician leadership, a quad structure was supported. Implementation of a leadership structure included the establishment of eight team leaders and two managers. These leaders identified multiple opportunities for improvement including improved communications, offload of nonbillable work, development of incentive programs, provision of equipment, specialty practice alignment, hematology/oncology fellowship, and professional development. Overall, a nurse practitioner and physician associate leadership structure allowed for representation across the cancer center. Such inclusion supported multiple quality improvement projects developed in partnership with nursing, business, and physician leaders. Cumulatively, these interventions yielded efficient workflows and expansion of services. Consistent with reported evidence, these efforts contributed to nurse practitioner and physician associate retention as well as improved job satisfaction. Advanced practice leadership is essential to recruiting, developing, supporting, and retaining nurse practitioner and physician assistant colleagues in cancer care.

Discovery of HDM2010, a highly potent PTPN2 inhibitor for immunotherapy.

e15021 Background: Protein tyrosine phosphatase non-receptor type 2 (PTPN2), a negative regulator of JAK–STAT pathways that plays a crucial role in the immune system, has been identified as a promising target for immunotherapy. Genetic deletion of PTPN2 in either tumor cells or host immune cells promotes the anti-tumor immunity. In addition, PTPN2 inhibitors, alone or in combination with anti-PD1 therapy, significantly reduced tumor growth and enhanced survival in several subcutaneous tumour models. These findings demonstrate that PTPN2 inhibitors may have clinical benefits for immunotherapy-resistant tumors. Herein, the discovery of a series of novel PTPN2 inhibitors and their implications for immunotherapy are reported. Methods: We have successfully developed a series of small molecule inhibitors that specifically target PTPN2/N1. Molecular design was based on a novel backbone and incorporating both structure-based drug design (SBDD) and computational chemistry techniques. To evaluate the efficacy of our inhibitors, PTPN2 phosphatase activity was monitored using the small-molecule substrate DiFMUP in a fluorescence assay format in vitro. Tumor cells were treated with IFNγ and the cell viability was measured. Pharmacokinetic studies were conducted in mice, with serial blood samples analyzed by liquid chromatography−mass spectrometry (LC−MS)/MS. Pharmacokinetic parameters were calculated by noncompartmental analysis. Results: Based on the co-crystal structure of this target reported and multiple previous research projects, we have designed a multitude of novel compounds with the employment of computer-aided drug design (CADD) and scaffold hopping. Through a comprehensive evaluation of the in vitro and in vivo parameters, we have identified a series of compounds displaying potent PTPN2 inhibition (IC50 < 10 nM). Moreover, the compounds displayed remarkable efficacy in killing tumor cells to IFNγ treatment (IC50 < 100 nM). Artificial intelligence was utilized to conduct assessment and prediction of ADME properties, improving the drug-ability including permeability and physicochemical properties. Currently, a series of compounds demonstrating outstanding potency and good pharmacokinetic profiles, with lower hERG blockage (hERG IC50 > 30 µM), were synthesized and characterized. Among these hit compounds, a leading compound with PTPN2 IC50 = 1.1 nM and tumor cells IC50 = 79.5 nM was identified for further optimization and evaluation. Conclusions: We reported our work on discovering HDM2010, in which a series of potent PTPN2 inhibitors with prominent PK and safety profile were synthesized and characterized. Further optimization including in vivo experiments will lead to a preclinical candidate (PCC) selection.

Integrating simulation software to enhance online UAS and robotics learning: A case study

Simulation software holds immense value in science, technology, engineering and mathematics (STEM) learning for various reasons. In both virtual and blended learning environments, it proves to be a powerful tool by providing immersive experiences and facilitating hands-on activities. These advantages extend to both synchronous and asynchronous learning settings. A notable trend in online learning and distance education involves the integration of interactive simulation platforms as effective educational tools. This paper offers an overview of the general advantages of simulation software platforms, focusing on STEM subjects, particularly uncrewed aircraft systems (UAS), commonly known as drones. Drawing insights from multiple simulation implementation projects in online UAS courses at Embry-Riddle Aeronautical University Worldwide (ERAU-WW), this paper discusses best practices and lessons learned. Additionally, key parameters for the implementation of simulation software are presented, aiming to assist educators in their decision-making processes. The recommendations section looks ahead to potential future research and explores emerging trends and developments in educational software simulation for STEM topics.

Project and knowledge management at European public space agencies: The need for a three-dimensional project management office

Space agencies are continuously developing new space missions, each of which undergoes a long development cycle, from the feasibility study to routine operations and disposal, as per the European Cooperation for Space Standardization (ECSS), the body responsible for developing and maintaining a set of standards for the space industry in Europe. Each mission is a stand-alone project, where the development cycle starts every time from scratch, with new resources, technologies, and requirements, applying the same (tailored) standards, but with limited usage of lessons learnt from earlier or parallel projects. In this article, we analyse typical project management and knowledge management approaches adopted by public space agencies, making use of a relevant case study in Europe. From the results of our case study analysis, we propose a three-dimensional Project Management Office (PMO) governance, explaining how this novel approach helps address limitations and challenges of the current approaches when dealing with multiple complex projects, such as space missions. With the PMO defined as an organisational body or entity assigned various responsibilities, the authors focus on three specific areas, namely, Strategy, Resources, and Knowledge, as three key drivers that can improve the current management of projects of the organization.

Роль індустріальних парків та складської логістики у контексті відновлення економіки України

This research delves into the intricacies of industrial park development and warehouse logistics in Ukraine, focusing on the challenges and opportunities arising in the aftermath of a full-scale invasion. It provides a comprehensive analysis of the existing landscape of industrial parks within Ukraine in 2023, encompassing their geographical distribution, developmental status, and financial capabilities. Furthermore, the study investigates the profound impact of the conflict on the progress of industrial parks and warehouse logistics in Ukraine, bringing forth critical issues that have emerged as a consequence. Within this context, the research underscores the dependency on private investments, owing to the limited state support resulting from the reallocation of financial resources towards defense. It argues for the need to foster an environment conducive to attracting foreign investors and to streamline investment procedures, thereby enhancing Ukraine’s appeal for international businesses. Moreover, it anticipates a resurgence in the warehouse logistics market once stability is achieved, with multiple suspended investment projects expected to come to fruition in the short term. This study highlights the significance of creating a favorable regulatory framework and legislative environment for investors, contributing to the growth of industrial parks and warehouse logistics. Additionally, it underscores the need for embracing cutting-edge technologies, including digitalization and eco-friendly practices, to bolster the competitiveness of these industrial parks on both the national and global stages. In conclusion, Ukraine holds substantial potential in the advancement of industrial parks and warehouse logistics. To capitalize on this potential, it is imperative for the government to foster a stable investment climate, attract international partners for collaboration in this sector, and facilitate technological development, ultimately generating new employment opportunities and supporting sustainable economic growth. This research sets the stage for a comprehensive strategy to guide the revitalization of these industries in Ukraine, facilitating their resurgence as integral components of the nation’s post-war economic recovery.

효율성 향상을 위한 방안으로 최적조합을 찾는 휴리스틱 방법에 관한 연구

This paper explores the optimal combination as a way to improve efficiency. Nonlinear optimization, random search, and greedy algorithm methods were used to find an optimal project combination of projects for government research institutes. According to our numerical experiments, the nonlinear programming method is not computationally efficient (i.e., requiring long computational time) to find an optimal combination. However, the greedy algorithm can produce multiple optimal project combinations in a short time window. Random search can also generates multiple optimal combinations, but it has disadvantage that computational time increases in the number of random generations. By using the proposed greedy method, multiple optimal combination can be quickly found in a situation where the number of R&D projects increases. Therefore, a research institute has a greater flexibility in selecting one among multiple optimal combinations.

A SURVEY OF THE PROBLEM AND TECHNIQUES IN RESOURCE ALLOCATION FOR MULTI-PROJECT SOFTWARE PROJECTS

Managing multiple software projects concurrently presents challenges in resource allocation. This study explores these issues and potential solutions. We conducted research to identify and categorise the most pressing problems in this domain and evaluate the effectiveness of various techniques proposed to mitigate these challenges. The key challenges identified are resource underutilisation, inefficiency, and conflict. Projects often suffer from long durations, uncertainties, and cost overruns. Traditional project management methods, such as the Critical Path Method and Program Evaluation and Review Technique, assume unlimited resources and are designed for single-project environments, rendering them inadequate for multi-project scenarios. Consequently, more recent research has explored advanced approaches to develop more effective scheduling solutions, including heuristic algorithms, genetic algorithms, and hybrid methods. Still, they lack performance guarantees and may not consistently achieve optimal results. The study examines how researchers tackle these issues. Techniques include using upper and lower bounds for concurrent activities, project buffers, and optimising project makespan for better resource utilisation. Additionally, allocating the right people to projects and coordinated planning for resource-constrained scenarios are explored. The research indicates that multi-stage hybrid approaches utilising machine learning techniques yield the most promising results. Therefore, future research should focus on applying ML techniques to select the optimal algorithm and incorporate historical data, representing a promising direction for advancing this field. This analysis provides insights for researchers seeking to develop improved approaches to resource allocation in multi-project software development.

30 years of youth system of care lessons learned – a qualitative study of Hawaiʻi’s partnership with the Substance Abuse and Mental Health Services Administration

BackgroundThe Hawaiʻi State Department of Health, Child and Adolescent Mental Health Division (CAMHD) has maintained a longstanding partnership with Substance Abuse and Mental Health Services Administration (SAMHSA) to enhance capacity and quality of community-based mental health services. The current study explored CAMHD’s history of SAMHSA system of care (SOC) awards and identified common themes, lessons learned, and recommendations for future funding.MethodsEmploying a two-phase qualitative approach, the study first conducted content analysis on seven final project reports, identifying themes and lessons learned based on SOC values and principles. Subsequently, interviews were conducted with 11 system leaders in grant projects and SOC award projects within the state. All data from project reports and interview transcripts were independently coded and analyzed using rapid qualitative analysis techniques.ResultsContent validation and interview coding unveiled two content themes, interagency collaboration and youth and family voice, as areas that required long-term and consistent efforts across multiple projects. In addition, two general process themes, connection and continuity, emerged as essential approaches to system improvement work. The first emphasizes the importance of fostering connections in family, community, and culture, as well as within workforce members and child-serving agencies. The second highlights the importance of nurturing continuity throughout the system, from interagency collaboration to individual treatment.ConclusionsThe study provides deeper understanding of system of care evaluations, offering guidance to enhance and innovate youth mental health systems. The findings suggest that aligning state policies with federal guidelines and implementing longer funding mechanisms may alleviate administrative burdens.

Building apatient-centred nationwide integrated cardiac care registry: intermediate results from the Netherlands.

This paper presents an overview of the development of an integrated patient-centred cardiac care registry spanning the initial 5years (September 2017 to December 2022). The Netherlands Heart Registration facilitates registration committees in which mandated cardiologists and cardiothoracic surgeons structurally evaluate quality of care using real-world data. With consistent attendance rates exceeding 60%, avaluable network is supported. Over time, the completeness level of the registry has increased. Presently, four out of six quality registries show over 95% completeness in variables that are part of the quality policies of cardiology and cardiothoracic surgery societies. Notably, 93% of the centres voluntarily report outcomes related to open heart surgery and (trans)catheter interventions publicly. Moreover, outcomes after implantable cardioverter-defibrillator and pacemaker procedures are transparently reported by 26centres. Multiple innovation projects have been initiated by the committees, signalling ashift from publishing outcomes transparently to collaborative efforts in sharing healthcare processes and investigating improvement initiatives. The next steps will focus on the entire pathway of cardiac care for aspecific medical condition instead of focusing solely on the outcomes of the procedures. This redirection of focus to acomprehensive assessment of the patient pathway in cardiac care ultimately aims to optimise outcomes for all patients.

Climate variability impacts on runoff projection in the 21st century based on the applicability assessment of multiple GCMs: A case study of the Lushi Basin, China

In this study, we initiatively employed the improved Secure Hash Algorithm (SHA) to evaluate and compare the competencies of multiple Coupled Model Intercomparison Project Phase Six (CMIP6) General Circulation Models (GCMs). The selected GCM outputs were bias-corrected by the non-parametric quantile mapping (QM) method. The calibrated and validated data were then used to run the XAJ (Xin’anjiang) model to assess long-term climate variation impacts on runoff under four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), where the results were compared with the baseline period (1976–2000). Overall, the CNRM-CM6-1-HR, FIO-ESM-2–0, INM-CM5-0 and NorESM2-MM models reconstructed better spatio-temporal evolutionary trends related to historical precipitation and evaporation, and were applied as selected GCMs for reliable runoff projection applications. The intensification amplitudes of precipitation and evaporation produced by selected GCMs gradually spread from SSP1-2.6 to SSP5-8.5 throughout the 21st century. Compared to the baseline period (257 m3/s), the extreme streamflow during the wet periods is likely to increase for SSP5-8.5 (288 ∼ 298 m3/s), SSP3-7.0 (276 ∼ 294 m3/s), and SSP2-4.5 (222 ∼ 280 m3/s), whereas SSP1-2.6 decreases to varying degrees (178 ∼ 255 m3/s). Meanwhile, during the dry periods, the extreme streamflow is projected to decrease by 28 ∼ 73 m3/s (SSP5-8.5), 32 ∼ 38 m3/s (SSP3-7.0), 8 ∼ 31 m3/s (SSP2-4.5), and 5 ∼ 33 m3/s (SSP1-2.6) from historical levels (62 m3/s). The overwhelming majority of increasing trends in the wet periods and vastly decreasing trends in the dry seasons indicate that the basin will face some floods and water shortage risks in the mid to late 21st century. The findings broaden the efficacious applications of SHA in the performance selection of GCMs and QM method in bias correction. The conclusions provide a reference for flood and drought mitigation planning and water resources policymaking in the Yellow River Basin.