Initial Construction Research Articles

The iBelong Scale: Construction and validation of a measure of racial-ethnic-cultural belonging.

The purpose of this study was to develop a measure of racial-ethnic-cultural (REC) belonging for Black, Indigenous, and other people of color (BIPOC). The iBelong Scale was designed to assess the multidimensional components of REC belonging across diverse BIPOC groups. The scale was constructed based on a grounded conceptual framework of REC belonging, and the initial pool of items received feedback from community members and content experts. Validation of the iBelong Scale comprised data from 808 BIPOC participants collected across three interrelated studies for the purposes of initial validation, construct validity, and test-retest reliability. In Study 1, an exploratory factor analysis yielded a 25-item scale with five factors: (a) Home, (b) Connection, (c) Authenticity, (d) REC Thriving, and (e) Self-Definition. Results from Study 2's confirmatory factor analysis indicated that the five-factor model was an acceptable fit of the data and the best fit among competing models. Measurement invariance was assessed, and results indicated that the iBelong Scale measures REC belonging similarly across differing BIPOC groups. The iBelong Scale was related to a range of measures in theoretically expected ways, including positive associations with general belonging, racial/ethnic identity, and general well-being, and negative associations with loneliness and REC nonbelonging. Findings from Study 3 indicated the test-retest reliability of the iBelong Scale over a 2-week period. Limitations of the studies and implications for research and practice are discussed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

澳大利亚科学数据发展政策与规划

Australia attaches great importance to the efficient management of scientific data resources, acknowledging data as a key driving force for innovative development. The nation actively coordinates and integrates digital infrastructure construction while making data openness one of the top priorities within the public sector. To effectively promote the development of scientific data in Australia, the country has implemented effective management and open sharing practices for scientific data, recognizing it as a valuable asset, which guarantees the discoverability, accessibility, and usability of data resources. Australia has formulated different policies at different stages and established different levels of support and regulatory agencies, providing strong guarantees for government policy formulation, strategic planning, and plan service implementation. Based on a wide range of literature and website information resources, this paper employs meticulous techniques in screening, extraction, analysis, and organization, with a focus on comprehensively sorting and analyzing the policy system construction, support and regulatory agencies, strategic planning support, infrastructure construction, and practical effectiveness of Australian scientific data initiatives. The paper will serve as a reference for China in formulating a scientific data policy management system, establishing a sound data resource sharing mechanism, and reinforcing the data security guarantee system.

Validation of a Novel Neurologic Assessment Test for Healthcare Staff.

BACKGROUND: To measure the effectiveness of an educational intervention, it is essential to develop high-quality, validated tools to assess a change in knowledge or skills after an intervention. An identified gap within the field of neurology is the lack of a universal test to examine knowledge of neurological assessment. METHODS: This instrument development study was designed to determine whether neuroscience knowledge as demonstrated in a Neurologic Assessment Test (NAT) was normally distributed across healthcare professionals who treat patients with neurologic illness. The variables of time, knowledge, accuracy, and confidence were individually explored and analyzed in SAS. RESULTS: The mean (standard deviation) time spent by 135 participants to complete the NAT was 12.9 (3.2) minutes. The mean knowledge score was 39.5 (18.2), mean accuracy was 46.0 (15.7), and mean confidence was 84.4 (24.4). Despite comparatively small standard deviations, Shapiro-Wilk scores indicate that the time spent, knowledge, accuracy, and confidence are nonnormally distributed ( P < .0001). The Cronbach α was 0.7816 considering all 3 measures (knowledge, accuracy, and confidence); this improved to an α of 0.8943 when only knowledge and accuracy were included in the model. The amount of time spent was positively associated with higher accuracy ( r2 = 0.04, P < .05), higher knowledge was positively associated with higher accuracy ( r2 = 0.6543, P < .0001), and higher knowledge was positively associated with higher confidence ( r2 = 0.4348, P < .0001). CONCLUSION: The scores for knowledge, confidence, and accuracy each had a slightly skewed distribution around a point estimate with a standard deviation smaller than the mean. This suggests initial content validity in the NAT. There is adequate initial construct validity to support using the NAT as an outcome measure for projects that measure change in knowledge. Although improvements can be made, the NAT does have adequate construct and content validity for initial use.

Transcritical [formula omitted] precooled single mixed refrigerant natural gas liquefaction process: Exergy and Exergoeconomic optimization

This study proposes a two-stage transcritical CO2 pre-cooled single mixed refrigerant process to investigate the potential improvement in exergy efficiency and exergoeconomic performance. Two different objective functions, namely maximizing exergy efficiency and minimizing the unit cost exergy of LNG, were optimized using the particle swarm optimization algorithm to compare the performance of the CO2 pre-cooled single mixed refrigerant process with single mixed refrigerant process. The results of the first objective function indicate a higher exergy efficiency of the CO2 pre-cooled single mixed refrigerant process, with an increment of 7.56%. This improvement can be attributed to not only the lower total power consumption but also the better matching of the temperature-difference composite curve, particularly the location of the pinch temperature at the warm end of the heat exchanger. Additionally, the exergy destruction of the CO2 pre-cooled single mixed refrigerant process was 30.12% lower than that of the single mixed refrigerant process. The second objective function demonstrated that the CO2 pre-cooled single mixed refrigerant process had a unit exergy cost value of 7.46 $/GJ, which was 11.98% lower than the single mixed refrigerant process. In conclusion, the proposed process contributes to energy saving throughout the LNG chain. Previous studies on the transcritical CO2 precooling cycle were limited to only one-stage configuration paving the way for thermodynamic efficiency enhancement by modifying the design of the process. This study also considers the effects of two objective functions maximizing exergy efficiency and minimizing the unit exergy cost of LNG on the optimization of decision variables which has not been discussed yet in the literature. Moreover, innovative exergoeconomic analysis presents a comprehensive criterion for evaluating economic performance, providing guidance for the initial construction and sustainable development of LNG plants.

The Belt and Road Initiative and Regional Infrastructure Finance and Construction

This article discusses the rationale for the Belt and Road Initiative (BRI) and conducts an empirical analysis utilising a revised gravity model linking connective infrastructure constructed under the auspices of the BRI with global trade in the 2010–22 period. The authors’ empirical analysis shows that BRI connective infrastructure projects are beneficial to both the export and import countries. After controlling for all other factors, the existence of connective infrastructure in the export country is associated with a 25% increase in its export value, with a significant reduction in the transport costs.

Earthquake-induced loss assessment of hybrid self-centering piston-based braced frame with friction springs and SMA bars

A novel Self‐Centering Piston-Based Bracing (SC-PBB), integrating Friction Springs (FSs) and Shape Memory Alloy (SMA) bars, offers a promising solution for curtailing seismic damage in braced frame structures. Nevertheless, this hybrid SC-PBB may incur higher construction costs compared to conventional bracing archetypes. Accordingly, it is imperative to investigate whether the initial cost increase can be offset over the structure's lifespan. This study quantifies earthquake-induced financial losses in braced frames equipped with SC-PBBs (SC-PBBFs) compared to those equipped with Buckling-Restrained Bracings (BRBs). A building-specific Performance-Based Earthquake Engineering (PBEE) framework is employed to evaluate potential economic losses under far-field ground motions. The analysis quantifies total, collapse, irreparable, and repair losses by incorporating seismic hazards, structural demands, and damage consequences. Results reveal higher total and collapse losses for BRBFs, although their lower repair costs for non-structural components mitigate repair loss. Additionally, the low-rise SC-PBBF archetype could recoup initial construction expenses over its expected lifespan, unlike its BRBF counterpart.

A monumental stone plaza at 4750 B.P. in the Cajamarca Valley of Peru.

We report one of the earliest known circular plazas in Andean South America and one of the earliest examples of monumental, megalithic ceremonial architecture in the Americas. The example presented here is constructed of large free-standing and vertically placed megalithic stones and is located in the Cajamarca basin of the northern Peruvian Andes. This construction method has never before been reported in the Andes and is distinct from other monumental circular plazas in the region. We present three radiocarbon dates associated with the initial construction of the plaza which average to approximately 2750 calibrated years before the common era (cal BCE), corresponding squarely to the Late Preceramic period, which saw the first monumental construction in the Andes. This is one of the earliest examples of monumental, megalithic architecture in the Americas.

Engaging classroom observation: A brief measure of active learning in the college classroom

The purpose of this study was to develop a valid, reliable, and brief measure of active learning in college classrooms that is cheap and easy to complete and yields results that faculty can easily use to inform their development as instructors. Initial construct and face validity was achieved by modifying existing instruments and creating a draft of a brief measure of active learning for external expert review. Following the suggested revisions, the engaging classroom observation was then piloted and revised as necessary. Reliability was tested and measures of internal consistency and interrater reliability were acceptable. A principal component analysis showed two components that were moderately correlated, which indicated the potential they could be combined. An Exploratory Factor Analysis confirmed the instrument is measuring one factor, which we propose as active learning. This study is significant because it offers a brief instrument based on students’ perceptions that can be used formatively by faculty.

Performance‐based optimum seismic design of self‐centering steel moment frames with SMA‐based connections

AbstractShape memory alloys (SMAs) have found several applications in earthquake‐resilient structures. However, because of high material costs, their implementation on industry projects is still limited. Developing design approaches that minimize the use of expensive SMAs is critical to facilitating their widespread adoption in real structures. This paper proposes a performance‐based seismic design optimization procedure for self‐centering steel moment‐resisting frames (SC‐MRFs) with SMA‐bolted endplate connections. The topology optimization uses a metaheuristic algorithm to minimize the frame's total cost, including the initial construction and expected repair costs. The design variables are the steel beam and column sections, SMA connection properties, and the topology of the SMA connections. Different constraints are considered, such as the constructability of the chosen steel sections, member strengths, performance‐based design, Park‐Ang damage index, and strong‐column weak‐beam requirements. Furthermore, the seismic safety of optimal designs is assessed by calculating adjusted collapse margin ratios according to FEMA‐P695. An illustrative optimization study using three‐ and nine‐story SC‐MRFs is presented. The optimal SC‐MRFs are then assessed in terms of cost and seismic performance. The results confirm the effectiveness of the proposed optimum design, which minimizes the use of SMAs while ensuring improved seismic performance. The case studies show that the optimal placement of SMA connections can reduce the total cost by up to 71% and 61% for the three‐ and nine‐story SC‐MRFs, respectively, compared to nonoptimal frames. Moreover, the optimal SC‐MRFs exhibit more uniform drift distributions, lower residual story drifts by up to 96%, and increase collapse capacity by up to 102%.

Automatic Guided Vehicle Scheduling in Automated Container Terminals Based on a Hybrid Mode of Battery Swapping and Charging

Automatic guided vehicles (AGVs) in the horizontal area play a crucial role in determining the operational efficiency of automated container terminals (ACTs). To improve the operational efficiency of an ACT, it is essential to decrease the impact of battery capacity limitations on AGV scheduling. To address this problem, this paper introduces battery swapping and opportunity charging modes into the AGV system and proposes a new AGV scheduling problem considering the hybrid mode. Firstly, this study describes the AGV scheduling problem of the automated container terminals considering both loading and unloading tasks under the hybrid mode of battery swapping and charging. Thereafter, a mixed-integer programming model is established to minimize the sum of energy costs and delay costs. Secondly, an effective adaptive large neighborhood search algorithm is proposed to solve the problem, in which the initial solution construction, destroy operators, and repair operators are designed according to the hybrid mode. Finally, numerical experiments are conducted to analyze the effectiveness of the model and the optimization performance of the algorithm. The results demonstrate that the hybrid mode of battery swapping and charging can effectively reduce the number of battery swapping times and scheduling costs compared to the existing mode.

Microscopic experiment on efficient construction of underground gas storages converted from water-invaded gas reservoirs

Based on the microfluidic technology, a microscopic visualization model was used to simulate the gas injection process in the initial construction stage and the bottom water invasion/gas injection process in the cyclical injection-production stage of the underground gas storage (UGS) rebuilt from water-invaded gas reservoirs. Through analysis of the gas-liquid contact stabilization mechanism, flow and occurrence, the optimal control method for lifecycle efficient operation of UGS was explored. The results show that in the initial construction stage of UGS, the action of gravity should be fully utilized by regulating the gas injection rate, so as to ensure the macroscopically stable migration of the gas-liquid contact, and greatly improve the gas sweeping capacity, providing a large pore space for gas storage in the subsequent cyclical injection-production stage. In the cyclical injection-production stage of UGS, a constant gas storage and production rate leads to a low pore space utilization. Gradually increasing the gas storage and production rate, that is, transitioning from small volume to large volume, can continuously break the hydraulic equilibrium of the remaining fluid in the porous media, which then expands the pore space and flow channels. This is conducive to the expansion of UGS capacity and efficiency for purpose of peak shaving and supply guarantee.

Exposure and physical vulnerability to geo-hydrological hazards in rural environments: A field-based assessment in East Africa

Geo-hydrological hazards (landslides and floods) are often associated with large impact on physical infrastructures, affecting strongly the exposed population. Understanding in detail the nature of exposure and what determines the extent of impact is a prerequisite for building resilient structures and reducing vulnerability. However, such information is rarely available, especially in rural communities where people are often the most vulnerable. In this study we document the impact of landslide and flood hazards in 17 sub-counties in the mid- and south-western parts of Uganda between May 2019 and March 2021 through extensive fieldwork involving local stakeholders. We quantify the economic value of the physical damage of landslide and flood hazards on exposed buildings, roads and bridges. We then determine statistically the factors that influence the physical vulnerability of the elements at risk based on damage ratios, i.e. monetary value of each individual building damage divided by its initial construction value. A total of 91 and 212 buildings were documented from the landslide and flood hazard affected zones, respectively. Out of the 91 landslide affected buildings, 71 % were completely destroyed and 4 % severely damaged, while 19 % had minor-to-no damage at all. For floods, 37 % of the buildings were completely destroyed and 6 % were severely damaged, while 53 % had minor-to-no damage. The impact of landslides and floods is unevenly distributed across the study sub-counties and the extent of loss they cause also vary with exposed elements. Based on parameters that could be documented through our field-based approach, we conclude that while the physical vulnerability of buildings to landslides is equally associated with both landslide size and building structural characteristics, the physical vulnerability due to floods is largely linked to the flood depth. This quantitative study therefore shows the need for plans, policies and strategies geared towards improving the building resistance to landslides and controlling settlements in flood prone places.

Development and validation of a reasons for electronic cigarette use questionnaire.

People use electronic cigarettes (e-cigarettes) for many reasons, but currently there are no comprehensive assessments of the motivations for tobacco vaping. The aim of the present study is to develop and test the initial construct validity of a new measure to assess reasons for e-cigarette use. We developed a 56-item measure based on the e-cigarette literature. This measure, along with demographic and tobacco use questions, was administered to adults who self-identified as past or present e-cigarette users on the Prolific crowdsourcing platform. The sample (n = 965) was randomly assigned into two analytic groups for exploratory factor analysis (EFA; n = 484) and confirmatory factor analysis (CFA; n = 481). The sample ranged from 19 to 77 (M = 36.6; SD = 11.5) years old, and 42.2% identified as women, 74.6% as White, 7.2% as African American, 4.7% as Asian/Pacific Islander, and 5.1% Hispanic/Latino. After removing highly correlated items and nonloading items on the EFA, the 56-item scale was reduced to 47 items across eight factors. The eight subscales assessing various motivation domains of e-cigarette use included social influence, alternative to cigarettes, pleasurable effects, harm reduction, dependence, cessation, weight/appetite, and smell/flavor domains. Cronbach's α coefficients and preliminary analyses of differential motivation based on sex, age, and daily smoker status are presented. This study demonstrates the construct validity for the first comprehensive measure tested to assess reasons for e-cigarette use. This measure has potential to become a valuable assessment for researchers examining factors contributing to tobacco vaping among a variety of populations and settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The complex intervention day hospice — a quality-assured study on the implementation, realization, and benefits with model character for Germany (IMPULS) using the example of “Day hospice Adiuvantes”

BackgroundCurrently, a conclusive experience on the uniform implementation and benefits of day hospice structures and interventions is lacking in Germany. The following questions should be clarified: (1) Which structural conditions and interventional measures should be established in day hospices from the point of view of patients, relatives, and specialist staff?; (2) Are the planned structures or interventions feasible and implementable under real conditions and accepted by patients, relatives, and staff?; (3) How can a final implementation and intervention catalog for day hospices be designed?; (4) Is this final catalog of services feasible, reasonable, economical, and effective under everyday conditions in day hospices?MethodsWe planned to perform a multistage investigation, guided by the Medical Research Council Framework for the development and evaluation of complex interventions. In Stage 1, an initial theoretical construct on structures and interventions will be established through an extensive literature and guideline review on day hospices and through qualitative interviews. In a nominal group process, we will create a catalog of offers. In Stage 2, feasibility testing is conducted in a single-day hospice under real-life conditions using quantitative quality indicators and qualitative interviews. Structures and interventions can be adapted here if necessary. In a second nominal group process, a final structure and offer catalog is created, which is then implemented in Stage 3 in the day hospice under investigation and evaluated under real daily conditions through a process and effectiveness test. For this purpose, qualitative and quantitative quality indicators will be used and a comparative cohort of patients who are not cared for in the day hospice – but in the same network structure (oncology–palliative care network Lower Bavaria) – is examined.DiscussionFinally, the initial statements on the reasonable and realizable structures or interventions in day hospices and their benefits in daily real-life conditions as well as possible optimization processes shall be made.Trial registrationThe study was retrospectively registered in the German Clinical Trials Register (DRKS-ID DRKS00031613, registration date April 04, 2023) and the display portal of the Center for Clinical Trials of the University Hospital Regensburg (Z-2022-1734-6, registration date July 01, 2023).

Plant communities and potential phytoremediation species for resource utilization of abandoned drilling mud

Oil and gas development produces a large amount of abandoned drilling mud, which may be a source of pollution but may also be a potential resource. A quadrat sampling method was used in the Changqing Oilfield to investigate the plant community characteristics inside and outside abandoned drilling mud pits at different completion times. The importance value of plant showed that the natural succession of plant communities in the abandoned drilling mud pool could be divided into three stages: (1) 4–8 years after the completion of the well, Leymus secalinus, Calamagrostis epigeios with the importance values of more than 100, were dominant species in the initial construction stage; (2) 9–13 years after the succession, the intense competition stage of the plant community, although the importance value of plant inside the mud pit had decreased, it was still higher than the importance value of plant outside the mud pool. The importance values of L. secalinus and Artemisia scoparia outside the mud pool were 62.5 and 52.5, while those in the mud pool were 95 and 75, respectively; (3) 23–28 years after the succession, the gradual stabilization stage of the plant community, the importance value of plant was lower than that in the mud pool. Leymus secalinus, C. epigeios and A. scoparia could be used for phytoremediation of abandoned drilling soil for their higher importance values. Changes of Shannon–Wiener index, Pielou index, Community ecological dominance and vegetation biomass showed that the mud pit was suitable for the recovery and growth of the dominant species, improved the diversity of plant communities inside the mud pit compared with the stable plant community outside the mud pit. Abandoned drilling mud increased the content of nitrogen, potassium and trace elements in plants. While the variation coefficient of heavy metal content in plants inside and outside the mud pit was large, but the content of heavy metals in plants was within the normal range. Abandoned drilling mud has the potential for resource utilization on the premise of ensuring soil quality and safety. This study provides information on the comprehensive treatment, resource utilization, disposal economics and environmental safety of abandoned drilling mud.

Numerical construction tests to assess the feasibility of placement grids for Cubipod Homogeneous Low-Crested Structures

Placement grid design is a key phase when constructing armor layers in mound breakwaters. Homogeneous Low-Crested Structures (HLCS) are low-crested structures designed as artificial reefs for marine colonization, coral reef regeneration and beach protection. The placement grid affects the construction feasibility, hydraulic stability and wave transmission of HLCS. This study presents a numerical methodology to simulate a realistic placement procedure for armor units during the construction of HLCS. This numerical simulator is based on the open-source physics engine Bullet Physics Engine (BPE), which applies Newton's laws of motion to rigid bodies. From an initial theorical placement grid for Cubipod HLCS, a series of numerical realistic unit placement tests are carried out to emulate the placement process at prototype scale; placement velocity and spatial deviation of crawler cranes are given parameters associated with each specific project. Considering the placement velocity and spatial deviation during construction, the quality of each specific placement grid is associated with the measured placement errors and the corresponding initial construction deviation to HLCS. This numerical methodology is valuable to understand the influence and the uncertaintly of the construction procedure of armor layers in mound breakwaters.

Apply EZStrobe to simulate the finishing work for reducing construction process waste

Vietnam, classified as a developing nation, encounters numerous challenges within its construction sector, including the scarcity of comprehensive and documented historical data regarding risks and a deficiency in embracing contemporary methodologies to mitigate the impact of risk factors on construction project objectives. This paper outlines initial findings from an ongoing research endeavor that centers on implementing Lean Construction (LC) techniques to enhance construction management practices specifically for marble floor finishing work within Vietnam. Therefore, this study aims to apply the construction lean principle combined with discrete-event simulation (DES) by using EZStrobe to simulate the marble floor finishing process in reality, from observing and collecting data of each activity in the actual process on the site. By building, running simulations, and resulting from real-world simulations, we'll understand the sources of waste, and then apply lean construction principles through methods such as just in time, reduce the batch size and resources priorities, and multi-skilled teams for the initial construction process. The study's lean modeling results has led to a 13% reduction in construction cycle time, a 141% improvement in process efficiency, a 268% enhancement in average productivity, and a 96% reduction in labor cost. The result has become the reference document resource for the managers and construction engineers to improve the performance of not only general finishing work but also marble floor finishing work.

Stopping times occurring simultaneously

Stopping times are used in applications to model random arrivals. A standard assumption in many models is that they are conditionally independent, given an underlying filtration. This is a widely useful assumption, but there are circumstances where it seems to be unnecessarily strong. We use a modified Cox construction along with the bivariate exponential introduced by Marshall and Olkin (1967) to create a family of stopping times, which are not necessarily conditionally independent, allowing for a positive probability for them to be equal. We show that our initial construction only allows for positive dependence between stopping times, but we also propose a joint distribution that allows for negative dependence while preserving the property of non-zero probability of equality. We indicate applications to modeling COVID-19 contagion (and epidemics in general), civil engineering, and to credit risk.

Developing a Prognostic Model for Primary Biliary Cholangitis Based on a Random Survival Forest Model.

Background: Primary biliary cholangitis (PBC) is a rare autoimmune liver disease with few effective treatments and a poor prognosis, and its incidence is on the rise. There is an urgent need for more targeted treatment strategies to accurately identify high-risk patients. The use of stochastic survival forest models in machine learning is an innovative approach to constructing a prognostic model for PBC that can improve the prognosis by identifying high-risk patients for targeted treatment. Method: Based on the inclusion and exclusion criteria, the clinical data and follow-up data of patients diagnosed with PBC-associated cirrhosis between January 2011 and December 2021 at Taizhou Hospital of Zhejiang Province were retrospectively collected and analyzed. Data analyses and random survival forest model construction were based on the R language. Result: Through a Cox univariate regression analysis of 90 included samples and 46 variables, 17 variables with p-values <0.1 were selected for initial model construction. The out-of-bag (OOB) performance error was 0.2094, and K-fold cross-validation yielded an internal validation C-index of 0.8182. Through model selection, cholinesterase, bile acid, the white blood cell count, total bilirubin, and albumin were chosen for the final predictive model, with a final OOB performance error of 0.2002 and C-index of 0.7805. Using the final model, patients were stratified into high- and low-risk groups, which showed significant differences with a P value <0.0001. The area under the curve was used to evaluate the predictive ability for patients in the first, third, and fifth years, with respective results of 0.9595, 0.8898, and 0.9088. Conclusion: The present study constructed a prognostic model for PBC-associated cirrhosis patients using a random survival forest model, which accurately stratified patients into low- and high-risk groups. Treatment strategies can thus be more targeted, leading to improved outcomes for high-risk patients.

The Belt and Road Initiative's Construction Projects Exert a Substantial Influence on Participating Countries' Economic Landscapes, Eliciting A Noteworthy Impact on their Financial Stability, Infrastructure Investments, and Fiscal Growth

The one belt one road initiative, spearheaded by China, stands as a monumental foreign policy endeavour designed to strengthen ties with 146 nations. The construction projects within this initiative wield a substantial influence on the economic landscapes of participating countries, significantly affecting financial stability, infrastructure investments, and fiscal expansion. Studies utilizing CO2 emissions as a function of financial data (FD), Foreign Direct Investment (FDI), Gross Domestic Product (GDP), squared Gross Domestic Product (GDP2), economic indicators (EC), and trade-related factors (TR) have demonstrated a statistically positive relationship between these variables. The study spans from 2014 to 2021, employing panel data regression techniques to analyze the impact of the One Belt One Road initiative on participating countries' economic landscapes. Utilizing dynamic seemingly unrelated regression (DSUR) panel estimation, the study assesses the initiative's impact on macroeconomic factors such as GDP, FDI, EPI, trade, and FDPS. Statistical significance tests, including p-values and F-statistics, are employed to gauge the significance of the relationship between these factors and the initiative. Null hypothesis testing is utilized to determine whether a variable Granger causes another variable, providing further insights into causal relationships. R2 values are employed to quantify the proportion of variance in the dependent variable attributable to the independent factors. These statistical methodologies offer a robust and empirical approach to comprehending the one belt one road initiative's profound impact on the economic landscapes of participating nations.