Single Project Research Articles (Page 1)

Accurate quantity takeoff (QTO) is essential for cost estimation and project planning in the construction industry. However, current practices are often fragmented and rely on manual or semi-automated processes, leading to inefficiencies and errors. This study introduces a cloud-based framework that integrates automated QTO with a rule-based Quantity Precision Check (QPC) to ensure that quantities are derived only from validated and consistent BIM data. The framework is designed to be scalable and compatible with open data standards, supporting collaboration across teams and disciplines. A case study demonstrates the implementation of the system using structural and architectural models, where automated validation detected parameter inconsistencies and significantly improved the accuracy and reliability of takeoff results. To evaluate the system’s effectiveness, the study proposes five quantitative validation metrics, Inconsistency Detection Rate (IDR), Parameter Consistency Rate (PCR), Quantity Accuracy Improvement (QAI), Change Impact Tracking (CIT), and Automated Reporting Efficiency (ARE). These indicators are newly introduced in this study to address the absence of standardized metrics for automated QTO with pre-takeoff, rule-based validation. However, the current validation was limited to a single project and discipline-specific rule set, suggesting that broader testing across mechanical, electrical, and infrastructure models is needed to fully confirm scalability and generalizability. The proposed approach provides both researchers and practitioners with a replicable, transparent methodology for advancing digital construction practices and improving the quality and efficiency of BIM-based estimation processes.

ABSTRACT Amidst a global surge in urban development foregrounding smart, sustainable, and now pandemic-proof design, new forms of longstanding hazard and health discourse are being deployed to justify dispossession, particularly in self-built districts. Looking at a case in Tirana, Albania, we examine how this discourse is being contemporized and paired with diverse digital media as it overlaps within a single project – the Tirana Riverside Project. As expressions of authoritative knowledge, architectural visualizations, social media posts, state-backed news broadcasts, and international design blogs work to validate this underlying ideology driving demolition. Such imagery and discourse, we contend, thus need to be read as artifacts of power that entrench government authority while substantiating mass dispossession. We argue that these processes are not only about the real estate profits demolition-based urban renewal generates but also – in Albania’s flawed democratic context – their ability to support the ruling elite. Using content analysis, we identify four hazard and health imaginaries overlapping within the project: 1) pandemic-proof design; 2) design for seismic emergencies; 3) zero-emission sustainable design; and 4) smart city technologies. We show how these imaginaries join longer traditions of normative discourse around hazard and health in urban renewal yet scrutinize their distinct contemporized and localized expressions.

605 Single center project evaluating glycemic control with Continuous Glucose Control (CGM) in patients with Cystic Fibrosis (CF)

Background Clinical risk management in hospitals is vital to ensuring patient safety by identifying potential risks. Various methods exist for risk identification, categorized into retrospective/reactive and prospective/proactive approaches. Prospective methods aim to anticipate risks before they manifest. Despite its potential efficacy, the Delphi method remains underutilized in the context of hospital patient care risk identification. Methods A Delphi study was conducted to identify nursing-sensitive risks with regard to patient safety in one university-affiliated hospital. The study involved three rounds of expert questioning, focusing on identifying and evaluating risks using a structured anonymous communication process. Experts from various nursing specialties were asked to describe significant nursing-sensitive risks in their areas. The risks were then assessed for their consequences and likelihood of occurrence. Results Fifteen experts completed the first round, identifying 43 risks, which were consolidated into 32 unique risks. Consensus on risk assessment was achieved for 38 out of 64 evaluations (59%) in the second round and improved to 77% consensus in the final round for the remaining disagreements. Experts identified challenges in assessing risks outside their specific expertise, which affected consensus achievement. Feedback indicated a preference for face-to-face discussions to enhance understanding. Conclusion The Delphi method presents a viable alternative for identifying nursing-sensitive risks related to patient safety. Anonymity and structured communication promote objective evaluation, though expertise verification and potential bias from hierarchical dynamics remain challenges. Future research should consider a two-phase or modified Delphi approach to enhance expert risk assessment and consider multiprofessional input for a comprehensive evaluation.

Children and young people living in care (aka looked-after children and young people) are at a high risk of language development delays. This scoping review aimed to identify and synthesise research published between 1989 and 2024 that examines the prevalence, nature and key areas of language difficulties among children and young people in care. It also aimed to report associated risk and protective factors and to identify existing intervention strategies relevant to supporting their language development. An iterative search strategy resulted in the inclusion of 38 studies, with the majority conducted in the United States ( n = 12). Studies varied widely in terms of methodological factors, and most were single research projects that had not been replicated. A range of language screening tools were used which included well-known and less-known measures that had different clinical thresholds. The results indicated that children and young people in care are at a greater risk of experiencing difficulties in all areas of language. This topic thus warrants more attention and further investigation. This research has the potential to significantly influence both policy and practice by highlighting the critical need for early identification and support for language difficulties among children in care, particularly those who have experienced maltreatment.

Assembling high-quality fungal genomes, specifically telomere-to-telomere (T2T) gapless assemblies, often necessitates the integration of multiple sequencing platforms. This requirement poses a limitation on the number of fungal genomes that can feasibly be generated within a single project. Here, we demonstrate that haplotype-aware error correction (HERRO) of Oxford Nanopore simplex reads enables the generation of high-quality assemblies from a single sequencing platform. We present an automated Snakemake workflow that, without manual intervention, produced gapless genome assemblies for industrially relevant strains: Neurospora intermedia NRRL 2884, Trichoderma asperellum TA1, and Aspergillus oryzae CBS 466.91, each achieving complete BUSCO (Benchmarking Universal Single-Copy Orthologs) scores exceeding 98%. Among these, only the T. asperellum assembly yielded a fully telomere-to-telomere gapless genome, while the N. intermedia and A. oryzae assemblies were gapless but near-telomere-to-telomere. Manual curation was required for the mitochondrial genome assembly of N. intermedia.

Subject of the research. This paper examines a FinTech-centered, “born-digital” governance framework for Ukraine’s post-war recovery. The subject spans state digital platforms – DREAM (public investment management), Prozorro/BI-Prozorro (public procurement), and the National Bank of Ukraine’s open-banking and instant-payment rails – together with results-based budget reimbursements, SOE ownership reforms aligned with OECD standards, and integrity expectations (CPI/MONEYVAL). The core idea is that when project-cycle events – registration, procurement, milestone verification, payment, and audit – are linked by shared identifiers and machine-readable logs, FinTech becomes the operating system of reconstruction rather than a peripheral tool. Methodology. The study (i) maps the governance stack – platforms, legal mandates, and incentives; (ii) traces the plan – payment – result process under results-based reimbursements; and (iii) argues for operationalizing a machine-derivable KPI suite. The KPIs include: approval-to-cash time; share of reconciled account-to-account (A2A) payments; end-to-end traceability in DREAM (live links to procurement and payments); procurement competitiveness (e.g., single-bid share); MSME participation; incidence and remediation speed of red flags; and territorial equity of outputs. Although primarily analytical, the framework is anchored in current institutional designs and public data structures, enabling replication and subsequent causal evaluation as platform rollouts vary across sectors and regions. Aim of the research. The aim is to design and substantiate a FinTech-centered governance framework that (a) shortens the interval from verified milestones to supplier cash, (b) reduces discretion and transaction costs through standardized, auditable workflows, and (c) enables scalable private co-financing (supplier finance/factoring) by exposing standardized data to banks and FinTechs. This allows translating institutional reforms into measurable performance using the proposed KPI suite. Findings and conclusions. Coupling DREAM’s single pipeline and medium-term plan with Prozorro’s donor-aligned module and BI red-flagging, and with open-banking APIs and instant payments, yields operational discipline: funds flow on verifiable events; error correction shifts to pre-payment; approval/settlement times compress; and competition improves. EU/IMF conditionality turns digital deliverables (e.g., reconstruction management tool completion, annual Single Project Pipeline updates) into binding management tasks. Ownership and integrity frameworks (SOE law, OECD alignment, CPI/MONEYVAL) raise the supervisory baseline sustaining these gains. The KPI suite converts this architecture into a management instrument for continuous monitoring, benchmarking, and course correction at portfolio scale. Originality and practical implications. The contribution of this research: (i) reframes FinTech as backbone infrastructure – data as contract, APIs as process, payments as proof of performance – and (ii) provides an implementable KPI standard that donors, ministries, banks, and PIUs can compute directly from platform data. Practically, the framework narrows the gap between commitments and outputs, lets PIUs run one process for multiple financiers, and equips banks and FinTechs to scale working-capital solutions for MSMEs. Limitations are data quality, identifier hygiene, and uneven administrative capacity, motivating future causal evaluation and equity-focused analyses.

Neurologic complications, including seizures, are common in pediatric patients undergoing heart surgery, especially those requiring postoperative extracorporeal membrane oxygenation (ECMO), requiring prompt, vigilant postoperative monitoring. Prolonged EEG monitoring in critically ill children presents a risk of scalp/pressure injuries. The skin's sensitivity to microcirculatory changes can also provide valuable insights into the patient's overall tissue perfusion, making it a critical component in the management of these vulnerable patients. We initiated a quality improvement (QI) project to assess and reduce scalp injuries related to prolonged EEG monitoring in critically ill neonates and infants. The project involved reviewing baseline data, which included 2336 inpatient video EEGs performed from January 2022 to December 2024, and implementing interventions to improve skin safety during electrode placement, while incorporating best practices from ACNS and ASET guidelines. Five critically ill infants developed deep tissue injuries (DTIs) related to EEG electrodes, with most injuries occurring over the occipital region. The frequency of scalp injuries decreased from 0.30% in 2022 to 0% in 2024 after implementing the QI protocol, and was observed in conditions with known hypoperfusion. Electrode-related skin injuries are a common complication of prolonged EEG monitoring, particularly in critically ill pediatric patients. Our findings suggest that adherence to expert guidelines and tailored skin care protocols focused on skin preparation, electrode application, and monitoring parameters can reduce the risk of electrode-related skin injuries. Further research is needed to refine safety protocols and address the unique skin care challenges faced by this high-risk population.

Biochemistry and molecular biology is an experimental discipline and therefore training students in experimental techniques and data analysis is an essential component of undergraduate degrees. However, the amount of practical work may be limited by financial constraints and can vary considerably in the quality of the student experience. We were interested in how students perceived their overall practical experience, in contrast to evaluating a single experiment or project. We surveyed second-year students on their confidence in practical skills and what they valued and found challenging in laboratory work, followed by a small number of interviews. We found that students generally have a high level of confidence in their abilities and recognize a wide range of learning outcomes, encompassing the cognitive, psychomotor, and affective domains of learning. What students identify as challenging is similarly diverse. Most did not believe that online experiences were a good substitute for in-person laboratories. The implications of this research are that scaffolding of practical work should accommodate the diversity of student experience and that assessment should take better account of psychomotor and affective learning, rather than relying solely on demonstration of cognitive learning via a laboratory report.

BackgroundPatients undergoing elective endovascular treatment for cerebrovascular diseases (CBVD) may face mental health challenges that impact their quality of life (QoL). However, this issue is still rarely addressed in neuro-endovascular research literature and clinical practice. Our single center ongoing project ONIRIC aims to assess anxiety and depressive symptoms, coping, and QoL in CBVD patients treated via endovascular approaches.MethodsWe prospectively enrolled a cohort of patients undergoing elective endovascular procedures over a 6-month period. Patients completed the State-Trait Anxiety Inventory (STAI-S and STAI-T), the Beck Depression Inventory-version II (BDI-II), the Brief Coping Orientation to Problems Experienced Inventory (Brief-Cope), the Euro-QoL 5D-5L, and the World Health Organization Disability Assessment Schedule (WHODAS 2.0) questionnaires at the baseline, and at discharge.ResultsWe included 25 patients (13 females): mean age 60 ± 12.5 years. There was a significant improvement in state anxiety and depressive symptom scores at discharge: the BDI-II scores significantly differed from the ones at baseline (p < .01), as well as the STAI-S scores (p < .01). The coping and QoL scores did not show any changes.ConclusionsTo our knowledge, this research represents one of the few prospective studies examining the psychological and neuropsychological outcomes associated with elective neuro-endovascular treatment of CBDV. Despite the small sample size, our preliminary findings, are consistent with recent literature in related fields, contributing valuable insights to the broader understanding of how these factors influence clinical management. Future directions include the collection of follow-up data, essential for deepening our understanding of this complex and sensitive issue.

Instruments lacking comprehensive validation dominate research on researcher behavior: a scoping review based on the capability, opportunity, motivation, and behavior (COM-B) model.

The promise of achieving desired outcomes in community-engaged research relies upon an ongoing and long-term connection between the community and researchers. However, many community–researcher relationships begin and end in the confines of a single project, often precluding the sustainability and scalability of programs and initiatives that can benefit the community. Few examples exist in the literature, especially for the focus of this paper—school behavioral health (SBH)—to understand how the complex, challenging, and nuanced process of continued engagement between researchers and community members can be sustained and succeed. In this article, we chronicle the development of the Southeastern School Behavioral Health Community across 13 years, from its inception in a single state to its regional expansion through two research awards, to illustrate how long-term community engagement and a history of community connections can shape SBH research and practice across project action cycles. We describe the strengths, challenges, and lessons learned from this long-term community engagement experience. Numerous examples illustrate proactive and responsive strategies for initiating and sustaining community engagement throughout all phases of the longitudinal initiative and demonstrate tangible ways in which meaningful engagement influenced both research and practice. The reflections include the extent to which engagement principles of the research funder (the Patient-Centered Outcomes Research Institute, PCORI) were enacted during this research program; our roles as researchers, facilitators, and community members; the impact of the COVID-19 pandemic; engagement facilitators and structures; and what was achieved regarding levels of engagement. Future directions are provided for sustaining interconnected, community-engaged research and practice in SBH.

ABSTRACT Understanding how ecological restoration projects (ERPs) enhance vegetation recovery is crucial for sustainable ecological management. Previous studies have often examined single projects, overlooking the complexity of concurrent ERPs. We established an Ecological Engineering Composite Index (EECI), integrating ERP type, implementation intensity, and duration, to comprehensively evaluate their holistic impact on vegetation dynamics across the Qingzang Plateau (QP). Using geographic detector and structural equation modeling (SEM), we identified primary drivers of vegetation restoration and examined their interactions. From 2000 to 2020, the QP’s exhibited a significant greening, with kNDVI increasing by 0.023 per decade. The Natural Forest Conservation Program exerted the strongest influence, followed by the Yangtze River Basin Shelter Forest System Construction Project. Geodetector and SEM analyses identified precipitation, EECI, and solar radiation as main drivers of vegetation change, with notable synergistic interactions among climate, engineering, and terrain. While climate factors dominated, the cumulative impact of multiple ERPs quantified by EECI was decisive for large-scale recovery. Regions with higher EECI consistently exhibited greater kNDVI gains, confirming that coordinated, intensive restoration yields the greatest ecological benefits. By quantifying the integrated effects of multiple ERPs, this study provides guidance for optimizing ecological policy and sustaining long-term ra2c: vegetation restoration on the QP. HIGHLIGHTS kNDVI on the Qingzang Plateau rises by 0.023/10a, and in project zones by 0.029/10a The Natural Forest Conservation Program shows the highest vegetation recovery Higher ecological engineering composite index leads to better vegetation recovery

Late-stage and recurrent disease patients with a prognosis of 6-24 months should receive specialty palliative care, yet only 30% of eligible patients are referred. We aimed to characterize outpatient palliative care referral sources, timeliness, and completion rates across our cancer center at The University of Kansas Medical Center. We conducted a single institution retrospective quality improvement study of patients in oncology subspecialties with the most palliative care referrals from 2019-2022 at our institution. Data collected included demographics, referral sources, and utilization metrics. The primary outcome was referral completion rates, and secondary outcomes included time from referral to first palliative care visit, hospice enrollment, and/or death. We performed descriptive statistics using chi-square and one-way analysis of variance (ANOVA) tests to compare oncologic subspecialty cohorts regarding these outcomes. There were 1,674 outpatient specialty palliative care referrals. Medical oncologists initiated 57%, whereas surgical oncologists initiated only 14%. Seventy-four percent of patients referred were ultimately seen by outpatient palliative care. Gynecologic and breast cancer patients had the highest rates of being scheduled. The median time from referral to appointment was 20 days, ranging from 19-23 days. The most common reason patients did not utilize palliative care was patient choice (41%). Eighty-five percent of patients were enrolled in hospice at the time of death; gynecologic cancer patients had the highest rate of enrollment. The median time from referral to hospice was 66 days and the median time from palliative care referral to death was 92 days. Gynecologic cancer patients had the longest median times for both metrics. At our cancer center, most patients referred to outpatient specialty palliative care were seen within 30 days, which represents timely initiation of palliative care after referral placement. However, the uptake of outpatient specialty palliative care and the timing of outpatient specialty palliative care referral relative to end-of-life transitions varied across oncologic subspecialties. Relevant goals for quality improvement interventions include increasing palliative care referrals among surgical oncologists, referring patients earlier in the disease process, and reframing palliative care as a beneficial resource for all patients.

This paper is an ongoing interview series of Midwest Academy of Management Distinguished Scholar honorees. The Midwest Academy of Management Distinguished Scholar Award was established to acknowledge and celebrate exceptional professional accomplishments and substantial contributions to management research. The award is primarily based on widespread recognition within the academic community, focusing on a body of work rather than a single research project or creative endeavor. Michael A. Hitt, Ph.D., the 2021 Midwest Academy of Management Distinguished Scholar Award recipient, was interviewed in April, 2025 for the Journal of Leadership &amp; Organizational Studies .

ABSTRACT In the last millennium of the Pastoral Neolithic in East Africa (c. 5000–1200 BP) there is a great deal of diversification of material culture, with new traditions and wares appearing in the archaeological record. One of these is Turkwel, mostly known from a single research project from the 1970s. The Turkwel are considered to have been pastoralists who relied extensively on wild animals for subsistence and are characterised by their grooved ceramics, unstandardised microlithic toolkit and semi-permanent settlements. The site of Oltioki, in Kenya’s Baringo County, is the first Turkwel site to have been excavated in over 40 years. It is dated to approximately 1500 BP and extends the presence of Turkwel to the Central Rift, while its location in an anthropogenic grove provides a tentative link to the long-term ecological influence of the settlement and of Turkwel pastoralists. While the lithic and pottery assemblages show ties to the broader Turkwel culture, they also exhibit evidence of localisation in material culture and resource use. The lithic assemblage also shows links to obsidian sources in the Nakuru-Naivasha basin associated with Elmenteitan and Savanna Pastoral Neolithic communities and there is also evidence for potential early use of iron implements. Oltioki shows the need to revisit what a Turkwel tradition is, while at the same time highlighting the general increase in cultural variation across the Pastoral Neolithic-to-Iron Age transition.

The study aims to contribute to professional disciplines and literature through the design approach in visual arts-based education, especially architectural education. Visual perception is important in the design process. However, in professions related to architecture, design, and art, the perception selectivity of people should be developed and well-prepared products should be offered to users. The research aims to determine how perception theory changes depending on the education students receive. Visual quality analysis, which forms the basis of our study, was used to determine how effective perception management is, which is important for landscape architecture students and in many visual arts branches such as painting, sculpture, and stage design. In the study, students of all courses were asked to evaluate different planting designs implemented in a single structural project simultaneously, based on the basic five design principles. The data taken based on a visual survey was analyzed with Chi-Square and Frequency Analyses in the Social Sciences Program Statistical Package and examined whether the design courses taken by the students for 4 years were related to their visual perception experiences. To the analyses, it has been determined that there are differences between first-year and final-year students in their interpretation of these principles, that the education received enriches the student's visual production area, and that the use of technology in design also contributes greatly. As a result, it was revealed that the needs of the students in their landscaping arrangements and designs both practical and theoretical education should be updated according to the student's interests and skills. Thus, the contributions of visual perception in landscape education in analyzing, appreciating, and creating visually interesting and functional landscapes will be discussed, and suggestions will be offered to improve their education and designs in their future professional lives.

Introduction and Objective: Continuous Glucose Monitors (CGMs) have become increasingly available and have been shown to improve glycemic control. However, their adoption has been challenging, particularly among primary care physicians. For this reason, we designed and completed a quality improvement (QI) project aimed at improving resident physicians' understanding, readiness for, and utilization of CGMs by Ochsner Internal Medicine residents. Methods: Our multistep QI project initially involved assessing baseline readiness by utilizing a five-point Likert scale to evaluate residents' self-reported confidence and perceptions regarding CGM prescription. A multimodal intervention followed, including didactics by Endocrinology faculty, demonstrations by product representatives, and the dissemination of several support documents to facilitate prescriptions. The outcome was assessed by administering a post-intervention survey to evaluate changes in self-reported confidence and readiness, as well as using Slicer Dicer to determine whether there was a more than 50% change in CGM prescription rates after the interventions. Results: Our pre- and post-survey results showed that residents reported overall improved skills after the interventions. The pre-intervention period (June to December 2022) and post-intervention period (January to June 2023) showed improved prescription rates: 29 at 4.83/month (pre) and 44 at 7.33/month (post). The percentage change in prescriptions was 51.7%. Conclusion: We demonstrate that a multimodal intervention led to increased self-confidence in prescribing CGMs and an increase in actual utilization. This is a single-site study among internal medicine residents, and further study is needed to determine the intervention’s efficacy in other residency programs. Disclosure A.A. Noor: None. M. Gabriel: None. A. Zia: None. T. Pulisetty: None. M. Schexnayder: None. S. Bhamre: None. I. Banks-Jenkins: None. E. Dvorin: None. S. Karam: Advisory Panel; Insulet Corporation.

With the rapid advances of global climate change and urbanization, urban flooding is causing greater losses. Existing urban flood control and drainage engineering design standards are often applied to single projects. This paper proposes a set of urban flood model-driven optimization of flood control and drainage engineering solutions. Applied to Shenzhen’s Shawan interception project, the preferred option demonstrates significant improvements, such as the following: a 25% reduction ratio of the maximum designed water depth at key points of the Shawan River main stream, a 0.26% reduction in the maximum submerged area of the urban surface, a 3.27% reduction in the full pipe rate of drainage pipe, and a 10.81% reduction in the overflow rate of inspection wells. The comprehensive flood control and drainage benefits are the best, and they achieve the solution of problems within the basin. Aiming at the shortage of comprehensive consideration of project scale, combination mode, and control scheme in urban flood control planning and design, this simulation scheme proposes a set of detailed design technologies of urban flood control engineering based on a flood numerical model. The analysis results show that the ideas proposed in this paper can provide a reference for the design of urban flood control and drainage engineering.

Demonstrating 'impact' has become increasingly important in research and academia alongside growing consideration of the social effects of research and the ethical standards involved. However, there are also concerns about a preoccupation with 'impact' in academia, which may result in a narrow focus on applied research. The most common definitions of impact (for example, UK Research Excellence Framework) emphasise generating measurable change outside of academia. However, this may overlook other important endeavours, such as influencing discourse and development of theory. The implicit assumption that single research projects will trigger measurable policy change is often unrealistic. Data infrastructures are also expected to demonstrate their 'impact', yet existing definitions are levied at the individual researcher or substantive projects. Such definitions do not account for the additional assumptions required for infrastructure to be impactful, and arguably, in their current form are not fit for purpose in demonstrating the full contribution of longitudinal and life course studies to society. We argue that broader definitions of impact should be considered for longitudinal studies and data infrastructure, that account for the importance of 'influence', and recognise the many and multifaceted contributions of longitudinal and life course research. Here we aim to (1) review definitions of impact in the context of longitudinal and life course studies, using UK national cohorts as a case studies; (2) to provide a working definition appropriate for longitudinal research, that incorporates 'influence'; and (3) to consider approaches that can be utilised to track impact.