Objective Of Project Research Articles

Projecting dry-wet abrupt alternation across China from the perspective of soil moisture

Under a warmer climate, the enhancement of dry-wet abrupt alternation (DWAA) risk poses a great challenge for sustainable development. Here, we introduce a novel framework for DWAA detection based on our proposed soil moisture concentration index. By the end of this century, over humid southern China, the shift of soil moisture time series from anomalously wet to anomalously dry pattern, or the other way around, will be more abrupt. In addition, the proposed framework driven by Coupled Model Intercomparison Project Phase 6 simulations projects more widespread DWAA-affected areas over southwestern China, coastal regions of southeastern China, and the lower reaches of the Yangtze River, especially under a high emission scenario. The framework proposed in this study provides an efficient system for DWAA detection and prediction, and the findings of this study provide a reference for upgrading hydraulic infrastructure and mitigating future DWAA events.

Impact of Project Delivery Methods on Risk Allocation during the Planning Phase of Transportation Projects

Impact of Project Delivery Methods on Risk Allocation during the Planning Phase of Transportation Projects

Analysis of the Role of Law in Environmental Dispute Resolution: A Case Study in Urban Areas

The objective of this research project is to conduct an in-depth examination of the role of law in environmental dispute resolution within the context of urban Yogyakarta. By employing a qualitative methodology, this study examines the factors affecting the implementation of environmental legislation and the efficacy of legal instruments in addressing disputes. This study seeks to elucidate the role of law in environmental dispute resolution in Yogyakarta, examine the obstacles and impediments encountered in the implementation of environmental law, and analyse the efficaciousness of the existing dispute resolution mechanisms. To this end, it employs qualitative methods, with a particular focus on primary data obtained through observation, interviews, and documentation. The findings demonstrate that, despite an adequate legal framework, the efficacy of environmental dispute resolution is constrained by challenges inherent in law enforcement, public awareness, and economic considerations.

Tatian polynomial-based annular pupil wavefront optimization method for high-NA extreme ultraviolet lithography

The advanced technology node has an exact error tolerance. The effect of projection objective aberration on imaging cannot be neglected. In order to reduce the effect of aberration, considering the central obscuration of the high-NA extreme ultraviolet projection objective, we propose a Tatian polynomial-based annular pupil wavefront optimization (TBAPWO) method. An active pupil consisting of 64-term Tatian polynomials is incorporated into the imaging model. The suitable coefficients of the Tatian polynomials are solved using the gradient iteration method. The optimized active pupil can improve lithographic imaging quality. Simulation results show that the TBAPWO method can effectively reduce the pattern error of imaging by more than 30%, which indicates that the effect of aberration on imaging is controlled.

Autonomous Drone Navigation Using Computer Vision

Abstract: Autonomous drone navigation with computer vision is an innovative technology that allows drones to move through intricate surroundings without needing human control. This system uses live visual information to identify objects, steer clear of obstacles, and determine routes, improving operational safety and precision. The project's main objective is to create a visionbased navigation system that combines object detection and obstacle avoidance algorithms through deep learning methods like YOLO (You Only Look Once), alongside real-time sensor fusion. The drone uses computer vision algorithms to process aerial images and automatically changes its flight path to prevent crashes. A personalized dataset of aerial images is generated and utilized for improving object detection skills in various environments. In order to guarantee practicality in real- world situations, the system undergoes validation through simulations and field tests on different terrains, focusing on its resilience in changing environments. Improvements in navigation accuracy and obstacle detection are accomplished by implementing adaptive pathplanning and integrating multiple sensors, guaranteeing the drone's efficient operation in real-life situations. The goal of this method is to enhance the drone's ability to make decisions, minimize human mistakes, and expand its range of potential uses in areas like surveillance, agriculture, and disaster response

Revisiting the inconsistent influence of El Niño-Southern Oscillation on the equatorial Atlantic

Abstract The impact of El Niño-Southern Oscillation (ENSO) on the equatorial Atlantic Zonal Mode (AZM) is investigated using two atmospheric reanalysis products and 44 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). While the impact of ENSO on equatorial Atlantic SST is inconsistent, as previously reported, there is a very robust influence of decaying ENSO events in boreal spring on the contemporaneous surface zonal winds over the equatorial Atlantic, with El Niño events associated with anomalous easterlies that cool the equatorial Atlantic. This dynamic impact is counteracted by a thermodynamic impact, in which El Niño events cause changes in surface heat fluxes that lead to warming over the tropical Atlantic. The thermodynamic influence is active throughout the lifecycle of the ENSO event, but the dynamic influence is highly seasonal with a pronounced peak in boreal spring. Thus, a quickly decaying El Niño event will lead to warming, while a slowly decaying event will lead to cooling in the equatorial Atlantic. The ENSO-AZM relation is further complicated by partially independent Atlantic variability, in particular that associated with the South Atlantic subtropical dipole (SASD). Prediction experiments with a simple linear regression model support the role of the SASD as an AZM precursor. Many CMIP6 models show skillful predictions of the June-July-August AZM based on SST indices in the preceding December-January-February, with correlations above 0.5. When predictions are restricted to ENSO years, even more models exceed this threshold, but skill in the reanalyses remains relatively low, possibly due to insufficient training data.

A Virtual Breakthrough Series Collaborative for Missed Test Results

Missed test results, defined as test results not followed up within an appropriate time frame, are common and lead to delays in diagnosis and treatment. To evaluate the effect of a quality improvement collaborative, the Virtual Breakthrough Series (VBTS), on the follow-up rate of 2 types of test results prone to being missed: chest imaging suspicious for lung cancer and laboratory findings suggestive of colorectal cancer. This stepped-wedge cluster-randomized clinical trial was conducted between February 2020 and March 2022 at 12 Department of Veterans Affairs (VA) medical centers, with a predefined 3-cohort roll-out. Each cohort was exposed to 3 phases: preintervention, action, and continuous improvement. Follow-up ranged from 0 to 12 months, depending on cohort. Teams at each site were led by a project leader and included diverse interdisciplinary representation, with a mix of clinical and technical experts, senior leaders, nursing champions, and other interdisciplinary team members. Analysis was conducted per protocol, and data were analyzed from April 2022 to March 2024. All teams participated in a VBTS, which included instruction on reducing rates of missed test results at their site. The primary outcome was changes in the percentage of abnormal test result follow-up, comparing the preintervention phase with the action phase. Secondary outcomes were effects across cohorts and the intervention's effect on sites with the highest and lowest preintervention follow-up rates. Previously validated electronic algorithms measured abnormal imaging and laboratory test result follow-up rates. A total of 11 teams completed the VBTS and implemented 47 (mean, 4 per team; range, 3-8 per team; mode, 3 per team) unique interventions to improve missed test results. A total of 40 027 colorectal cancer-related tests were performed, with 5130 abnormal results, of which 1286 results were flagged by the electronic trigger (e-trigger) algorithm as being missed. For lung cancer-related studies, 376 765 tests were performed, with 7314 abnormal results and 2436 flagged by the e-trigger as being missed. There was no significant difference in the percentage of abnormal test results followed up by study phase, consistent across all 3 cohorts. The estimated mean difference between the preintervention and action phases was -0.78 (95% CI, -6.88 to 5.31) percentage points for the colorectal e-trigger and 0.36 (95% CI, -5.19 to 5.9) percentage points for the lung e-trigger. However, there was a significant effect of the intervention by site, with the site with the lowest follow-up rate at baseline increasing its follow-up rate from 27.8% in the preintervention phase to 55.6% in the action phase. In this cluster-randomized clinical trial of the VBTS intervention, there was no improvement in the percentage of test results receiving follow-up. However, the VBTS may offer benefits for sites with low baseline performance. ClinicalTrials.gov Identifier: NCT04166240.

Optimization of architectural design and construction with integrated BIM and PLM methodologies.

Digital transformation in the architecture industry encounters challenges such as data silos within design stages, between design and construction, and across the entire industry chain, including BIM and project management. This study introduces a pioneering approach for seamlessly integrating building information modeling (BIM) and product lifecycle management (PLM) within the management framework and collaborative workflows of architectural design and construction. The proposed methodology was implemented in two major projects, namely, the Wuhan Next-Generation Weather Radar Construction Project and the Hubei Center for Disease Control and Prevention Comprehensive Capacity Enhancement Project (Phase I), with the former being China's first end-to-end digitally integrated construction project. Compared with traditional projects, these implementations achieved improvements of 24.39% and 38.04%, respectively, in objective function values. The findings highlight the unique advantages of BIM-PLM integration in optimizing lifecycle management, enhancing cross-disciplinary, cross-enterprise, and cross-regional collaboration, improving project design efficiency and quality, and reducing costs and waste. This integration provides valuable insights into the digital advancement of the construction industry.

Future shifts in climatic conditions promoting northward expansion of the Mediterranean climate in the circum-Mediterranean region.

In the upcoming decades, precipitation and temperature patterns are expected to shift in the Mediterranean basin due to global warming, potentially having an influence on the environment and the economy in the area. Using monthly precipitation and temperature data from 15 global climate models (GCMs) developed as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6), the Mediterranean Climate Envelop (MCE), as defined by Daget's (1977) criteria, is projected under two climate change scenarios: SSP2-4.5 and SSP5-8.5, and for two future periods: 2050s and 2070s. According to the findings, the MCE is expected to expand by 3.51 and 4.93% in the 2050s under the SSP2-4.5 and SSP5-8.5 scenarios, respectively, in comparison to the current state. This expansion is expected to reach 5.28 and 9.87% for SSP2-4.5 and SSP5-8.5, respectively, in 2070s. For both situations and durations, MCE contraction would be minor, however, at less than 1%. More than 99% of the present MCE would stay stable proportionately. The northern Mediterranean region is mostly concerned by the MCE's expansion. The SSP2-4.5 scenario predicts that by the 2070s, expansion zones will occupy 674,183 km2, with 64% of the area located in Southern Europe and 36% in Western Asia. In SSP5-8.5 scenario, this area is expected to be significantly larger, estimated to be approximately 1,256,881 km2; 67% in Southern Europe and 33% in Western Asia.

Influence of SST‐Precipitation Relationship Over the Equatorial Western Pacific on Simulation of the Madden‐Julian Oscillation

AbstractCapabilities of 43 models of the Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate the Madden‐Julian Oscillation (MJO) were compared in this study. Models with higher MJO simulation skills reproduce organized large‐scale convection more frequently over the equatorial western Pacific (EWP), suggesting that MJO simulations are tightly connected to organization of large‐scale precipitation over the EWP. MJO simulation skills are not significantly correlated with the mean sea surface temperature (SST) over the EWP, but tightly connected to SST threshold for convection there. The top simulations exhibit lower SST threshold and more realistic SST‐precipitation relationship over the EWP, suggesting that convection can be organized more efficiently and intensified more rapidly with the increasing SST in these simulations. Our results emphasize that reproducing the relationship between SST and large‐scale precipitation over the EWP is critical to MJO simulations.

Comprehensive Analysis of Portfolio Optimization Using the Markowitz and Index Models

Harry Markowitz’s 1952 systematic approach to optimizing the trade-off between risk and return, known as Modern Portfolio Theory (MPT), revolutionized investment strategy. The objective of this final project is to apply the Markowitz and index models to provide a comprehensive analysis of portfolio optimization and conduct a comparative examination of the two models. By utilizing 20 years of historical daily total return data for 10 selected stocks within the S&P 500 Index, the study will develop optimal portfolios under various realistic constraints, such as typical leverage limitations and short selling restrictions. Additionally, the study evaluates the performance of these models and demonstrates that while index models offer computational simplicity, there are some drawbacks. In this scenario, a Markowitz model will generally provide a more precise risk-return optimization. Finally, the findings highlight the substantial influence of real-world constraints on portfolio management, which can significantly alter the efficient frontier and the structure of the optimal portfolio. This article, in the chapter on future research, proposes some possible future research directions, including the integration of behavioral finance elements and dynamic portfolio optimization, and furthermore discusses the implications of these research results.

El derecho operacional en Colombia: protagonismo militar y ausencias civiles

Outside military circles, little is known about operational law. However, this legal regime has grown dramatically in the last twenty years in Colombia. This research investigates the practice of operational law through interviews with five operators and identifies two characteristics of this field: the juridification of military operations and combat experience as a factor of legal expertise. The results evidence that the practice of operational law has developed with a leading role of military actors, as opposed to a marked civil absence. Therefore, the development of this military legal project should continue with its opening to external controls from civil governance.

Application of Artificial Neural Networks in Predicting the Thermal Performance of Heat Pipes

The loss of energy by heat is a common problem in almost all areas of industry, and heat pipes are essential to increase efficiency and reduce energy waste. However, in many cases, they have complex theoretical equations with high percentages of error, limiting their development and causing dependence on empirical methods that generate a waste of time and material, resulting in significant expenses and reducing the viability of their use. Thus, Artificial Neural Networks (ANNs) can be an excellent option to facilitate the construction and development of heat pipes without knowledge of the complex theory behind the problem. This investigation uses experimental data from previous studies to evaluate the ability of three different ANNs to predict the thermal performance of heat pipes with different capillary structures, each of them in various configurations of the slope, filling ratio, and heat load. The goal is to investigate results in as many different scenarios as possible to clearly understand the networks’ capacity for modeling heat pipes and their operating parameters. We chose two classic ANNs (the most used, Multilayer Perceptron (MLP) network, and the Radial Basis Function (RBF) network) and the Extreme Learning Machine (ELM), which has not yet been applied to heat pipes studies. The ELM is an Unorganized Machine with a fast training process and a simple codification. The ANN results were very close to the experimental ones, showing that ANNs can successfully simulate the thermal performance of heat pipes. Based on the RMSE (error metric being reduced during the training step), the ELM presented the best results (RMSE = 0.384), followed by MLP (RMSE = 0.409), proving their capacity to generalize the problem. These results show the importance of applying different ANNs to evaluate the system deeply. Using ANNs in developing heat pipes is an excellent option for accelerating and improving the project phase, reducing material loss, time, and other resources.

Projected Changes of the Warm Arctic‐Cold North American Pattern

AbstractThe Warm Arctic‐Cold North American (WACNA) pattern features opposing surface temperature anomalies, with centers over the Chukchi‐Bering Seas (CBS) and the North American Great Plains. The pattern is mainly driven by meridional heat transport and damped by the generation of available potential energy through diabatic heating. The Canadian Earth System Model CanESM5, part of the Coupled Model Intercomparison Project Phase 6 (CMIP6), reasonably reproduces this pattern and its formation mechanisms. Future projections under the Shared Socioeconomic Pathway 8.5 (SSP5‐8.5) suggest a significant weakening of WACNA with global warming. Notable changes in pattern intensity and spatial structure are anticipated, particularly a decrease in intensity over the CBS. WACNA changes are also found in 31 CMIP6 multi‐model ensemble simulations. These changes are attributed to Arctic amplification associated with global warming, which diminishes the equator‐to‐pole temperature gradient and consequently reduces meridional heat transport, particularly over the CBS region.

Improved simulation of compound drought and heat extremes in Eastern China through CWRF downscaling

Abstract Given their profound socio-economic impact and increasing occurrence, compound drought and heat extremes (CDHEs) have become a focal point of widespread concern. Studies have attempted to reproduce and predict these extremes using general circulation models (GCMs); however, the performance of these models in capturing compound events remains controversial. This study presents an improved simulation of CDHE trends over eastern China by using the regional Climate-Weather Research and Forecasting model (CWRF) to downscale the projections of two GCMs that participated in the Coupled Model Intercomparison Project Phase 6. The results show that CWRF downscaling significantly improved the underestimation of CDHE trends in GCM historical simulations, aligning better with observed trends. Moreover, the improvements of CWRF downscaling in simulating CDHEs are more pronounced than those for univariate events, i.e., extreme drought and extreme heat events. This enhancement largely results from CWRF’s better representation of land-atmosphere interaction processes, as indicated by the more realistic spatial distributions and intensities of the land-atmosphere coupling strength index. Under the SSP245 and SSP585 scenario, CWRF downscaling again predicts a more rapid increase in regional mean CDHE frequency compared to GCMs, with values nearing or exceeding 0.4 by the mid-21st century, suggesting a significant future threat to the study region. This study highlights the important role of land-atmosphere interactions in shaping CDHEs and the efficacy of regional climate models to reduce uncertainty in compound event simulations.

What works in global health partnerships? Reflections on a Nigerian-German project collaboration

Abstract Background Global health partnerships for project implementation is a frequent way to address health challenges. Bringing stakeholders from different disciplines, professions, settings and countries together provides opportunity to look at health challenges from different perspectives, develop suitable ideas to tackle them and leverage diverse capacities. Problem In such diverse partnerships, cultural norms, practical realities and institutional practices create challenges for the development of good and equitable relationships. Methods In our project collaboration between the Nigerian Centre for Disease Control and Prevention and the German Robert Koch Institute on developing and implementing trainings in infection prevention and control, we demonstrated how a partnership can function. The collaboration followed a participatory approach and was informed by the following principles: - Plan, revise, adapt and implement all project activities as well as its contents participatorily; - A well-coordinated teamwork is key to facilitate operational performance; - Consider everyone as expert in its own domain of influence; - Constant and inclusive communication: maintaining transparency on all aspects and steps both in contents and organization and applying non-violent communication and active listening; - Provide space for reflection on roles and functions and for open discussion on needs and misunderstandings; - Appreciate team work as constantly evolving process of interaction and learning. Results We built a strong resilient team and could leverage team diversity to deliver on project objectives with exceptional quality, adaptability in a highly complex and frequently changing implementation setting. Lessons Working across cultures, disciplines, professions and countries means to develop a joint communication language and an understanding of the other. It is challenging and dynamic, requires additional space/time and attention, but offers personal growth and self-realization. Key messages • Using a participatory approach in teams can leverage team diversity to deliver on project objectives and bring about a high professional and personal self-realization. • There are concrete implementable ways of teamwork in international interdisciplinary global health collaborations that enhance quality of results in complex implementation settings.

Application of the maturity model for collaborative scheduling for construction projects

PurposeThis paper introduces the weighting, analysis and validation method used in the development of the Maturity Model for Collaborative Scheduling (MMCS). The scoring and ranking process introduced by the MMCS fills a gap in the literature by supporting the selection of collaborative scheduling (CS) practices that yield more weight toward the achievement of higher maturity levels in the development and implementation of CS. The ranking process can then be used during pre/post project execution to track collaborative scheduling in practice against the model’s weighting and provide the project team with constructive feedback and actionable steps for reaching the next highest level of collaboration.Design/methodology/approachThe MMCS, which focuses on five pillars (key areas of interest for CS) and related swim lanes (specific attributes), covers a broad range of areas in the construction industry and was coded into a survey. The relative weights of pillars and swim lanes were then established using the Delphi method with the group of subject matter experts (SMEs), analyzed using multi-objective decision analysis (MODA) and validated using 241 answers to a survey with questions drawn from the MMCS, including organizations across the industry in the United States.FindingsThe project scoring defines bounds for bronze, silver and gold levels of collaboration in scheduling. Project evaluations can then be used to identify areas for continuous improvement and enhanced collaboration. We offer recommendations and best practices for project improvement.Originality/valueTwo original contributions resulted from this work: (1) a method to elicit weights based on a combination of Delphi, MODA and survey methods was used to develop and validate a scale with three different maturity levels to support the use and continuous improvement of CS practices and (2) a validated model was used to assess the maturity level of CS in construction projects alongside specific recommendations to move upward in terms of maturity. In practice, project leaders can use this model to assess project performance, advance the project’s maturity and guide continuous improvement efforts for enhanced collaboration.

Technology-Driven Conservation of Biodiversity: Modelling and Solving the USFWS Operation Berserk Project

This paper is based on a modern technology and data-driven approach to modeling and solving the problem that the U.S. Fish and Wildlife Service (USFWS) should select for the "Operation Rush" project. The importance of modern science and technology, such as remote sensing, big data, and artificial intelligence, in combating illegal wildlife trade is highlighted through literature support and team analysis. The project is centred on drone and remote sensing technologies, and uses cloud computing to transmit and process wildlife data in real time to support the conservation of biodiversity and the fight against illegal wildlife trade. This paper proposes a match between the work of Operation Frenzy and the USFWS, and highlights science, technology and innovation as the key to the link between the two. A Bayesian linear regression model was used to quantify and validate the strong positive correlation between the project objectives and the USFWS strategic plan objectives. The strong correlation between predicted and true values was reconfirmed through the analysis of Pearson correlation coefficients.

6.D. Skills building seminar: Family Vulnerability Scale: Why and how to use at Primary Health Care to promote health equity?

Abstract Family vulnerability encompasses multiple perspectives that are interconnected with the health needs of each family member. Families experiencing vulnerability face heightened risks of poor health outcomes. Nonetheless, these vulnerabilities are further compounded by systemic inequalities within healthcare systems, where biological or clinical factors are exclusively considered to organize and/or prioritize access, especially given the scarcity of valid instruments to measure family vulnerability. Primary Health Care (PHC) plays a pivotal role in addressing health inequalities, especially considering its bond with community. From this context, the Family Vulnerability Scale for Brazil (EVFAM-BR, in Portuguese) was developed and validated, been composed of 14 items about four dimensions (income, healthcare, family and violence) (2019-2023). By reducing the gap between science and practice, the implementation process of EVFAM-BR was started at the same year the scale was validated (2023). First, it occurred at 14 PHC services in São Paulo (Southeast Region, Brazil) and second, since 2024 has been implemented at Boa Vista (North Region, Brazil). Also, between 2024 and 2026, the implementation of EVFAM-BR is expected to take place in other Brazilian states participating in the third phase of the PlanificaSUS project, which is developed aiming to support State health departments to implement the Health Care Planning method to organize and integrate PHC and specialized outpatient care based on population health care needs. At this stage, capacity building is needed to align the concept of family vulnerability and to train PHC managers and health professionals on how to apply and use results from EVFAM-BR. This training has already been performed for around 1,000 health professionals from two different regions of Brazil, including managers, Community Health Workers, nurses, and physicians. The present workshop proposal aims to disseminate the EVFAM-BR and to offer the EVFAM-BR experience. It proposes knowledge transferring throughout participants engagement at three activities. Activity 1) “Family Vulnerability: From concept to a scale validity and application”: it is designed to engage participants to discuss about the family vulnerability concept and applicability at PHC, and to discuss on how EVFAM-BR implementation process has been occurring at Brazil and how can be tailored to other contexts. Activity 2) “Role Play: Practicing EVFAM-BR”: Two cases will be used for role play dynamics that will take place in trios, in which one will represent the community health worker, another will be the patient and the third will be the observer. Activity 3) That ones that assumed observer role will share their experiences of using EVFAM-BR. Finally, a discussion will be facilitated based on the participants’ impressions and a review of the main points covered throughout the workshop. Key messages • Family vulnerability stratification (through EVFAM-BR) is essential to plan services achieving equity and qualified population-based care management and to qualify patient approach and care. • Family Vulnerability Scale (EVFAM-BR) training represents efforts to reduce the gap between research and practice and contributes to address social determinants of health on healthcare.

Development of an assessment process for digital medical devices in Austria

Abstract Issue/problem Digital medical devices have experienced a rapid development in recent years and are playing an increasingly important role in healthcare. These devices offer numerous benefits and can improve patient care. However, despite their potential benefits, the use of digital medical devices also poses risks and regulation from governmental side is needed from a Public Health Perspective. This is why some countries already implemented assessment processes for Digital Medical Devices (e.g. Germany and France) leading to the question how such a process could be established in Austria too. Description of the problem While digital medical devices must fulfil requirements set by the medical device regulation to enter market, several other aspects are of interests when offering digital medical devices in routine care. These include e.g. medical effectiveness, data security and interoperability. The objective of the ongoing pilot project is to develop a process for the assessment of quality-assured digital medical devices in Austria in 2024. For this, a combination of literature research, interviews and workshops with relevant stakeholders is used in order to gain all necessary information. Process and assessment criteria will be tested and revised in a pilot phase with several digital medical devices. Results At the end of the project, an assessment framework as well as a potential evaluation process will be designed in accordance with relevant stakeholders. Moreover, legals aspects and the potential integration into the austrian health telematics infrastrucutur will be assessed. This will form a basis for implementing digital medical devices within the austrian healthcare system. Key messages • The result of this project aims to build the basis for implementing an evaluation process for digital medical devices in Austria. • The establishment of an evaluation process for digital medical devices supports the integration of quality assured digital medical devices in healthcare.