Model For Projects Research Articles

Integrating BIM technology in construction for effective knowledge management: case studies and methodological insights

Integrating Building Information Modeling (BIM) technology for effective knowledge management (KM)in the construction industry is a crucial aspect of modern construction. The construction industry is susceptible to losing its qualified and knowledgeable workers, and there are no certain plans to address this issue. The construction industry often relies on personal knowledge and experiences rather than certain analytical methods or textbook guidelines. Although various knowledge management approaches and researchers have given many perspectives on knowledge management, this study explores and compares previous management systems practices in the construction field. It investigates the implementation of BIM technologies and discusses the challenges, benefits, and potential strategies for enhancing knowledge-sharing and management processes. Knowledge management is furnished with significance through various decision-making processes, innovation, and constant learning that ends in progressing project delivery and collaboration among project teams. With regards to the implementation of the technology that involves building information modeling and knowledge management of construction projects, the analysis and comparison of some case studies that related to definite locations was conducted to discuss how cultural and development factors affect BIM involvement in construction projects. For concluding purposes, it emphasizes the importance of implementing BIM into each phase of projects not merely during the design and the construction operations but in all phases of project development. This research investigated novel ideas for improving (KM) and the application of (BIM) and also expressed that cultural and developmental characteristics have a noticeable influence on knowledge management systems based on BIM.

The Challenges of Implementing Building Information Modeling in Indonesia Construction Projects

The future of BIM is exciting and full of challenges, but there are several obstacles to implementing BIM effectively in the construction sector in Indonesia. Thus, the aim of this research is to examine the challenges of implementing BIM on construction projects, especially in Indonesia. Data was obtained from 45 respondents who answered questionnaire questions, including owners, consultants, contractors/subcontractors, private companies and state-owned enterprises representing construction parties in Indonesia. Empirical analysis using the Correlation Coefficient-A Measure of Linier method states that there are seven variables which are challenging variables in implementing BIM in construction projects. The seven challenge variables are BIM technical readiness, organizational paradigm changes regarding BIM, work environment awareness of BIM, compliance on BIM rules, increased competency and skills, consistent application of effective leadership, maturity of BIM utilization. These seven challenge variables have a linear relationship with the application of BIM in Indonesian construction projects. In conclusion, construction project parties in Indonesia must responses positively to these seven challenges to ensure that the implementation of BIM in construction projects in Indonesia is in accordance with the regulations released by the government.

Financing Model of Innovative Entrepreneurial projects in colleges and Universities Based on Blockchain Technology

The financing of innovative entrepreneurial projects within colleges and universities presents a unique challenge due to the inherent risks associated with nascent ideas and the limitations of traditional funding channels. Blockchain technology, with its decentralized architecture and transparent ledger system, offers a promising solution to these challenges. By leveraging blockchain, academic institutions can enhance the efficiency, transparency, and accessibility of the financing process for entrepreneurial ventures. This paper explores the application of blockchain technology in the financing model of university-based entrepreneurial projects, examining its potential benefits, challenges, and implications. Through a comprehensive review of literature, case studies, and theoretical frameworks, we elucidate the mechanisms through which blockchain can facilitate funding, foster collaboration among stakeholders, and democratize access to capital. Moreover, we discuss the unique characteristics of blockchain technology and its alignment with the values and objectives of academic entrepreneurship. While blockchain holds immense potential to transform the financing landscape, its adoption also presents regulatory, scalability, and governance challenges that require careful consideration. By contributing to the discourse on blockchain, entrepreneurship, and academia, this paper aims to inform policymakers, educators, and entrepreneurs about the transformative potential of blockchain in shaping the future of innovation and education.

A Proposed Integration Model of Project Based Learning and Simulation to Improve the Learning Quality

Although many studies have been conducted to improve the quality of the learning process at the higher education level, the need for an effective learning model that can develop students' skills remains a challenge that needs to be fully resolved. Considering and redeveloping the suitable learning model to use is very important. This study proposed a project-based learning and simulation model to develop students’ skills and the quality of learning in higher education. The implementation stages of the model are also offered, applied, and analyzed, and the effectiveness of the model is also seen. The 4-D model design, including define, design, develop, and disseminate, was used in this study. The results show that the project-based learning and simulation model developed in the aspects of the rationale for the learning model, supporting theory of learning model, description of learning model syntax, implementation of the learning model, syntax interconnection in learning model, and support platform for learning model were in the highly valid category. Meanwhile, there is also a statistically significant difference in students’ pre-test and post-test scores, which means that students’ skills improved after implementing project-based learning and simulation model in learning. It is concluded that project-based learning and simulation models support improving learning quality in higher education.

A BPSO based collaborative management platform for multi-source data security in power grids

By designing a digital power grid multi-source data security collaborative management platform, the system configuration problem of the OMS system and the power grid management platform for the main distribution network of the power grid is solved. A design method for the digital power grid multi-source data security collaborative management platform based on discrete particle swarm optimization algorithm is proposed. Based on the design concept of SOA, realize the overall design framework of the platform according to the design method of multi-layer technical system in the business presentation layer, business process and composition layer, service layer, component layer and resource layer, realize the basic layer design of the system management platform through the basic application platform design scheme of XML configuration, implement the query, processing and output representation of the grid’s multivariate data using B/S architecture protocol, and use the Spring Framework The platform software architecture is implemented using J2EE technology and multi module component design scheme. The discrete particle swarm optimization algorithm is used for the fusion and scheduling of multi-source data in the digital power grid. The interface design and functional construction of the power grid management platform are implemented in the OMS system of the power grid main distribution network, and the logical model of the transformation project is constructed to achieve platform optimization and construction. Tests have shown that the designed digital power grid multi-source data security collaborative management platform has good human-machine interaction, strong data fusion scheduling ability, reduced resource and subsystem coupling, and supports the flexibility of physical deployment and maintenance.

A Final Cost Estimating Model for Building Renovation Projects

The construction sector in Greece has been developing radically in the field of building renovations. The foremost problem for projects in the building construction industry is producing an accurate and reliable cost estimate at the onset of construction. The artificial neural network (AΝΝ) approach, using data available at the early stages of the project, can help resolve or prevent any kind of difficulty that could make the successful completion of a building less likely. ANNs have been highly efficient in gaining results which could prevent the failure of building constructions projects. The ultimate goal is to highlight the usefulness of the adoption of ANNs models to predict the final cost of a building renovation project. Thus, construction companies could avoid financial failure, provided that the gap between cost prediction and final cost for renovation projects is minimized. This paper presents an artificial neural network (ANN) approach for predicting renovation costs in Greek construction projects. The study, based on a comprehensive literature review and real renovation data from construction companies, employs IBM SPSS Statistics software to build, train, and test the ANN model. The model, which uses initial cost, estimated time, and initial demolition cost as inputs, is based on the radial basis function procedure. The model presents high performance with up to 2% sum of squares error and near zero relative error, demonstrating the ANN’s effectiveness in estimating total renovation costs.

Risk Management Strategies for Waste-to-Energy Projects Utilizing BOT Models

Since the 1990s, with the implementation of the reform and opening up policy, the rapid development of China's economy, the progress of urbanization is getting faster and faster, and as one of the urban wastes, the treatment of domestic waste has also attracted more and more attention. The municipal solid waste incineration treatment, and the heat generated after combustion is used to generate electricity, referred to as "garbage incineration power generation", because this way can make the waste to reduce, harmless, and can be converted into part of the electricity, because it is widely used in the treatment of municipal solid waste by local governments. Due to the shortage of government funds, most domestic waste incineration projects are implemented in BOT mode. Waste incineration power generation projects are often a large investment, for investors, the recovery period is long, the technical requirements are high, the investment agreement signed with the government is also very complex, coupled with the imperfect supporting laws and policies in China, so that the process of waste incineration power generation projects have many problems and risks, through the operation, construction, investment and other links. Based on the theoretical content of risk management in project management and combined with practical cases, this paper puts forward countermeasures and suggestions for important risks in the project, so as to analyze and discuss the risks of garbage incineration BOT project. Firstly, this paper investigates and collates the research situation of relevant projects at home and abroad, and systematically summarizes the project research results from three aspects, namely, BOT risk management of waste incineration power generation projects, BOT model of projects and BOT project risk research. Secondly, the multi-case study method was used to analyze the risks of 3 typical waste-to-power generation BOT projects, collect risk factors, construct risk aggregation, and summarize 5 types of key risks and 14 kinds of risks. Then, according to the BOT agreement signed with the government side, the specific risk management method is proposed. The goal of this study is the LF waste incineration power generation project. The author participated in the project and identified and evaluated the project risks through risk list and hierarchical analysis, so as to find out the main risks in the project such as government risk, public opinion risk, completion risk and operational risk. In addition, in combination with the project risk, specific risk coping strategies are proposed according to the risk coping strategies proposed in the paper and the actual situation of the project, so as to reduce the degree of project risk and reduce risk losses. For other similar projects in China, there is reference and reference significance and value.

Virtual Reality and Multi-Sensory Interactions: Enhancing Emotional Wellbeing of Urban White-Collar Workers in Shanghai

This research focuses on how to use virtual reality technology to realize emotion detection and adjustment. The purpose of this study was to examine the effects of moderate use of virtual reality therapeutic technology in physical space on the mood and productivity of mental workers. White-collar employees (n = 414) from various industries were asked to take part in an online survey to investigate the relationship between virtual reality technology, emotional health, and work performance through the mediation effect.Through data collection and in-depth interviews, This study had examined the perceptions of designers (n = 3) and urban white-collar professionals (n = 3) regarding their personal levels of work stress and experiences with the workplace. The purpose of this study was to determine whether effective usage of virtual reality spatial healing technology would improve employee wellbeing and work productivity. The findings revealed that using virtual reality to design healing spaces would improve emotional health, which would then result in better work performance from employees. Objective: To design and develop innovative therapeutic environments that incorporate multi-sensory interaction and virtual reality, with a focus on optimizing the potential for emotional wellness to create immersive and engaging environments. Theoretical Framework: A multi-method (QUAL→QUAN) research design has been adopted for this study (Creswell, 1999; Tarafdar et al., 2017). In the following sections, a brief literature review of the key constructs used in the study is explained, followed by the study descriptions, discussion of findings, and managerial implications (Banerjee, P., & Gupta, R. 2023) Method: A multi-method (QUAL→QUAN) research design has been adopted for this study (Creswell, 1999; Tarafdar et al., 2017). In the following sections, a brief literature review of the key constructs used in the study is explained, followed by the study descriptions, discussion of findings, and managerial implications (Banerjee, P., & Gupta, R. 2023), The questionnairs had been selected by interviews、expters and literature review, The data had been collected online. The mediation effect analysis had been use in this study to test the hypothesis. Results and Discussion: The results obtained that the integration of art and technology in interactive equipment will allow for personalized adjustments, enhancing user engagement and experience in the future. [synthesize the main results of the research]. In the discussion section, these results are contextualized in light of the theoretical framework, highlighting the implications and relationships identified. Possible discrepancies and limitations of the study are also considered in this section. Research Implications: 1. Advances in the discipline: This study is expected to contribute to the existing body of knowledge on multi-sensory interaction and the application of virtual reality in therapeutic environment design. It will provide a deeper understanding of how to use elements such as sight and smell into the overall design to promote emotional well-being in office Spaces. 2. Design innovations: The research will lead to the development of innovative therapeutic environments incorporating multi-sensory interaction and virtual reality. These designs could serve as a model for future projects aimed at promoting emotional health in a variety of Settings, which could be used in office Spaces and eventually, hopefully, in public places to promote public health. 3. Social benefits: The study can also increase people's motivation and level of work by raising people's awareness of the importance of emotional health. In the long run, regional productivity can be increased. Finally, the purpose is to make the environmental gain produce social benefits under the role of promoting emotional health. Originality/Value: This study contributes to the literature by: 1. Advances in the discipline: This study is expected to contribute to the existing body of knowledge on multi-sensory interaction and the application of virtual reality in therapeutic environment design. It will provide a deeper understanding of how to use elements such as sight and smell into the overall design to promote emotional well-being in office Spaces. 2. Design innovations: The research will lead to the development of innovative therapeutic environments incorporating multi-sensory interaction and virtual reality. These designs could serve as a model for future projects aimed at promoting emotional health in a variety of Settings, which could be used in office Spaces and eventually, hopefully, in public places to promote public health. 3. Social benefits: The study can also increase people's motivation and level of work by raising people's awareness of the importance of emotional health. In the long run, regional productivity can be increased. Finally, the purpose is to make the environmental gain produce social benefits under the role of promoting emotional health.

Optimized Multi-Scale Mixed Dense Graph Convolution Network for Career Impression Management in College Students Based on Social Network Analysis

This investigation attempts to increase success rate of employment, entrepreneurship by addressing the dangers that college students face when seeking work and starting their own businesses in rural areas. It offers a way of social environment analysis based on employment, entrepreneurship of college students in rural areas. This approach comprehends the employment and social environment of college students' rural employment, entrepreneurship as research goal. It thoroughly examines, detects component parts of the college students' rural employment, entrepreneurship environment. In this manuscript, Optimized Multi-Scale Mixed Dense Graph Convolution Network for Career Impression Management in College Students Based on Social Network Analysis (MSMDGCN-CIM-CS-SNA) is proposed. Initially input data are gathered from Xing social network Dataset. To execute this, input data is pre-processed using Distributed Adaptive Cubature Information Filtering(DACIF) and it removes the noise from collected data; then the Pre-processed data are fed to MSMDGCN for effectively categorize Career Impression Management in College Students. In general, MSMDGCN does not express adapting optimization strategies to determine optimal parameters to ensure accurate Career Impression Management in College Students. Hence, the Sand Cat swarms optimization(SCSOA) to optimize Quantum Conditional Generative Adversarial Network which accurately Career Impression Management in College Students based on Social Media.Then the proposed MSMDGCN-CIM-CS-SNA is implemented and the performance metrics like Student Origin; Proportion of Daily Living Expenses, Student’s Graduation Trend, Selection of Career Areas for College Students, Units of College Student’s Career Intention and Computation Time the World are analyzed. Performance of the MSMDGCN-CIM-CS-SNA approach attains 18.75%, 26.89% and 32.57% higher Student’s Graduation Trend; 16.87%, 24.57% and 32.94% lower Units of College Student’s Career Intention and 18.43%, 25.64% and 31.40% lower Computation Time when analyzed through existing techniques like analysis on social environment of college students’ rural employment with entrepreneurship (ASE-CS-REE), recommendation model for college career entrepreneurship projects depend on deep learning (RM-CCE-DL), group relationship mining of college students depend on predictive social network (GRM-CS-PSN) methods respectively.

Evaluating the Feasibility of Low-Carbon Technology in the Sustainable Economic Development of Electricity Using Generative Adversarial Networks

Abstract Electricity occupies a central position in energy strategy, and the low-carbon development of the power industry is an important guarantee for achieving sustainable development and carbon dioxide reduction goals. Orderly carrying out low-carbon technology transformation and innovation in electricity, ultimately achieving the goal of sustainable development of the power industry, has strong practical significance. Therefore, this article conducts a feasibility analysis of using generative adversarial networks to evaluate low-carbon technologies in the sustainable economic development of electricity. Firstly, the background of the theory of technological and economic evaluation was analysed and used as a theoretical basis. Secondly, an adversarial network was generated for the study of low-carbon emissions in the power industry, and an evaluation system for low-carbon technology in the sustainable economic development of electricity was constructed. The study showed that the preliminary economic evaluation index system and comprehensive benefit evaluation model for low-carbon technology transformation projects in electricity established in this article have feasibility and reliability for systematic analysis and evaluation of actual projects.

Digital Transformation of Construction Production Management

Digital Transformation of Construction Production Management

Developing a multidimensional risk assessment model for sustainable construction projects

PurposeSustainable construction re-engineers the conventional project lifecycle to integrate sustainability solutions. The additional sustainability requirements introduce new layers of complexity, challenges and risks that if unaddressed, can derail the gains in sustainable construction projects. This study developed a multidimensional risk assessment model for sustainable construction projects in the United Arab Emirates (UAE).Design/methodology/approachThe research activities a comprised comprehensive literature review to shortlist relevant risks, an analysis of the probability – impact rating of the shortlisted risks – and the development of a risk assessment model for SC projects in the UAE. The model is developed based on the multicriteria framework and mathematical formulation of the fuzzy synthetic evaluation approach.FindingsThe developed model quantified the overall risk level in sustainable construction projects to be 3.71 on a 5-point Likert scale, indicating that investment in SC projects in the UAE is risky and should be carefully managed. The developed model further revealed that each of the risk groups, comprising management (3.82), technical (3.78), stakeholder (3.68), regulatory (3.66), material (3.53) and economic risks (3.502), presents a significant threat to realizing outcomes typical of SC projects.Originality/valueThis study developed a multidimensional risk assessment model capable of objectively quantifying the overall risk level and provides decision support to project teams to improve risk management in sustainable construction projects.

A fuzzy model for the assessment of factors affecting the choice of an institution of higher education

The proposed approach to the formalization of models of development projects and the development of a higher education institution (HEI) provides the possibility of modeling (research), processes of training future specialists and development with the selection of points of origin of projects for the implementation of management tasks. This makes it possible to simplify the description of the main processes of vocational training and to build models for the analysis of improvements through the system of quality and development in the training of specialists in vocational training. In order to conduct higher education diagnostics and form harmonized decisions in higher education development programs in the system of higher education, it is advisable to use programs for the development and management of business processes, the management functions of which are focused on the analysis of the state of the higher education institution and management functions that ensure a successful and less expensive result of higher education development with taking into account the increased requirements of the external environment and the labor market. One of the conceptual provisions of the development of information technologies and education management systems is the further development of information provision in the formation of a single perfect information environment, informatization of education management systems, and evaluation of the quality and effectiveness of training specialists for the production industries, taking into account the requirements of the labor market, production and modern development of science. The proposed technique and method of comprehensive assessment of the quality of education of graduates of higher education institutions with the help of IT on the basis of indicators and indicators of quality, according to quantitative and qualitative factors, their composition, taking into account the needs of production, the requirements of the external and internal and educational environment. Thus, the main technology of education quality management is the most widespread component of artificial intelligence - fuzzy systems. Thanks to its combination with classical models and methods of ensuring the process of management of higher education institutions, it was possible to obtain wider opportunities for working out those parameters that until then had not been considered due to their qualitative nature. It is advisable to include the following input components to the main indicators: finance, training and development, competence, satisfaction, requirements and assessment of higher education institutions, etc.

A system for achieving the strategic goals of the project of chartering the fleet of shipping companies in the post-war period

The beginning of the full-scale invasion of russia into Ukraine caused significant human, economic and political losses, as well as destruction of the shipping system of water transport. Nevertheless, in the future (in the post -war period) all losses received must be restored according to projects and programs in the post-war period. This paper examines the current scientific and applied problem of developing approaches to managing the success of fleet chartering projects based on proacti ve research of shipping companies. The authors have identified the main factors affecting fleet chartering processes: trends in the charter market; the volume of transport work in already developed markets, opportunities to enter new markets, the level of prices for ships, the state of the turbulent environment. The main strategic goals that determine the need to replenish the shipping company's fleet have been established. The main types of fleet replenishment projects corresponding to the following options for fleet replenishment have been identified: shipbuilding, ship acquisition, leasing (bareboat charter), short - and medium-term lease of ships (time charter). Classification of the main types of fleet replenishment projects, regarding their classification features, definition of products, specifics of life cycles, value and composition of stakeholders, which fully characterizes fleet replenishment as an object of project management. As a result of the time charter lease, the company is limited in its rights to the vessel and can only carry out commercial activities, and this type of lease allows solving short- and medium-term tasks related to market activity and the need to replenish the fleet. The concept and model of the proactive formation of fleet chartering project parameters in specific market conditions, taking into account their further development, which ensures the establishment of project product characteristics and the life cycle, taking into account the integral influence of the dynamics of the market conditions related to the project. For each selected type of fleet chartering project, the main classification features, specifics of life cycles, value and composition of participants are established. Thus, the formation of management models for the implementation of innovative projects, programs, in particular in Ukraine in its post-war conditions, in the paradigm of uncertainty of crises in the post-war period, remains relevant.

Features of learning three-dimensional modeling and visualization in Autodesk 3Ds Max

The article describes the trends in the development of three-dimensional modeling in the modern world. The main areas of human activity that actively use the possibilities of three-dimensional graphics are indicated. An analysis of the latest research on this topic in the field of architectural design has been carried out. The main advantages of computer design in Autodesk 3Ds Max are identified and argued. One of the main directions in computer design is architectural visualization, which includes both the creation of a 3D model and obtaining the final realistic image of the object. Autodesk 3Ds Max is the most versatile software product that allows architects to actively use the available wide range of tools and functions of the program when creating realistic visualization of architectural and design projects. The main stages of studying the 3Ds Max program are defined, which allow to simplify and speed up the educational and working process of modeling and visualization of architectural projects. Given the wide range of tools and functions, 3Ds Max requires a special approach to learning it. Learning three-dimensional graphics based on Autodesk 3Ds Max should include familiarization with the program interface, study of basic modeling techniques, practical exercises for modeling simple and complex objects, and work on creating a model and visualization of an architectural or design project. Mastering all these components allows the user to understand the principles of working with three-dimensional graphics, optimize and speed up the work process of creating an architectural visualization according to a specific design. Three-dimensional modeling and visualization is a promising direction of modern computer design. Optimizing the learning and workflow of visualization will help create high-quality and highly realistic images of architecture and design, as well as better develop the field of architecture as a whole.

CSVD-TF: Cross-project software vulnerability detection with TrAdaBoost by fusing expert metrics and semantic metrics

Recently, deep learning-based software vulnerability detection (SVD) approaches have achieved promising performance. However, the scarcity of high-quality labeled SVD data influences the practicality of these approaches. Therefore, cross-project software vulnerability detection (CSVD) has gradually attracted the attention of researchers since CSVD can utilize the labeled SVD data from the source project to construct an effective CSVD model for the target project via transfer learning. However, if a certain number of program modules in the target project can be labeled by security experts, it can help to improve CSVD model performance by effectively utilizing similar SVD data in the source project. For this more practical CSVD scenario, we propose a novel approach CSVD-TF via the transfer learning method TrAdaBoost. Moreover, we find expert metrics and semantic metrics extracted from the functions show a certain complementary in our investigated scenario. Therefore, we utilize a model-level metric fusion method to further improve the performance. We perform a comprehensive study to evaluate the effectiveness of CSVD-TF on four real-world projects. Our empirical results show that CSVD-TF can achieve performance improvements of 7.5% to 24.6% in terms of AUC when compared to five state-of-the-art baselines.

Abstract 240: Mix and match - A comprehensive pipeline for matched patient-derived PDX and PD3D® modelsfor cancer research and preclinical drug development

Abstract Relevant in vivo and in vitro cancer models have been invaluable for our current understanding of cancer biology, as well as for therapy development. Using appropriate models in the drug development process significantly supports reliable and swift decision making in proceeding along the value chain. In parallel, animal experiments can be designed more specific to the scientific and regulatory needs, resulting in shorter development cycles and eventually the availability of better therapies for cancer patients. Patient-derived xenografts (PDX) are generated by implantation of cancerous tissue from a patient’s tumor either under the skin (ectopic) or into the organ of tumor origin (orthotopic) of an immunocompromised mouse and are the most used in vivo model for preclinical drug development. Patient-derived 3D cell culture models (PD3D®) are gaining increasing significance as relevant in vitro cancer models that recapitulate the original tumor tissue’s biology and are suitable for high-throughput drug screening. The combination of both platform’s increases the translational relevance of the development pipeline and offers the possibility to enlarge the respective panels of tumor models. Tackling an unmet medical need, we initially created matched mesothelioma PD3D® and PDX models. Mesothelioma is an aggressive cancer with poor prognosis and limited treatment options. Development of new therapies is hampered by shortage of available relevant tumor models. We created PD3D® models from PDX mesothelioma models and vice versa and generated drug sensitivity profiles with standard of care such as Gemcitabine, platinum derivates and a number of targeted agents to confirm their suitability as matched models for future projects. We were able to prove that models express stable histological, phenotypic features and drug sensitivity profiles across the two platforms. With this proof-of-concept study, the feasibility to combine the PD3D® biobank comprising more than 500 models from CELLphenomics with the PDX bank from CRL including 700 PDX models, has gained momentum. In consideration of the changing regulatory landscape, the combination of in vitro and in vivo platforms is a crucial step towards a drug development pipeline that incorporates the principles of 3R and increases its translational value due to fully human technologies being the corner stones of the drug development process. Citation Format: Jürgen Loskutov, Eva Oswald, Lena Wedeken, Christoph J. Reinhard, Julia Schueler, Christian R. Regenbrecht. Mix and match - A comprehensive pipeline for matched patient-derived PDX and PD3D® modelsfor cancer research and preclinical drug development [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 240.

Abstract 239: Establishing a murine intratumoral bacterial model

Abstract Background: Long thought to be sterile spaces, current evidence now suggests that host microbiota can be found within cancerous tissue. Emerging data has illuminated that microbes are integral components of tumor tissue itself, which may correlate with tumor progression, treatment responsiveness, and disease prognosis. A recent Cell article from Fu et al. demonstrated that tumor-resident intracellular microbiota can promote metastatic colonization in breast cancer. Others within this research landscape see therapeutic opportunity - harnessing the tropism of these microbes to deliver TME modifying payloads directly to cancerous lesions. Purpose: Before studying the mechanism underlying their tropism to solid tumors, it is necessary to first establish a murine model that would allow for an oncotropic bacteria to be detected and quantified within tissues of interest. My research entailed the design and execution of pilot experiments developing xenograft melanoma and genetic colorectal models for future research projects. Methods: In all mouse studies, an E. coli Nissle 1917 strain called “NisLux” was used, who’s integration with a luxCDABE cassette allowed it to be selectively identified via luminescence using traditional exposure photography or endpoint luminescence detection using a 96-well plate reader. A xenograft melanoma model was developed using C57BL/6J mice and a B16-F10 murine melanoma line. A genetics model was developed using C57BL/6J-Apcmin mice which spontaneously develop colorectal adenomas as they age. Tumors, spleens, and healthy tissue were harvested and processed following tail vein injections of either NisLux or PBS solution. Harvested tissue was normalized by weight and concentration of resident NisLux was calculated from serially diluted samples plated on LB agar. Results: In both the xenograft and genetics murine models, NisLux exhibited tropism to tumor sites, enriching at a concentration above that of healthy background tissue. NisLux dosing correlated with splenomegaly without changes to the mass of the primary lesion compared to control. Conclusions: NisLux exhibits tropism to tumor sites in our xenograft and genetics murine models. Both models should undergo further procedural and control optimization. Two possible modifications to future melanoma xenograft experiments include the collection of non-cancerous skin negative control samples and a further delayed takedown day for tissue processing. In future C57BL/6J-Apcmin mice experiments, healthy colon sections from NisLux dosed C57BL/6J mice should be used as negative controls. Overall, the results from both models were promising and encourage future exploration of the mechanism underlying NisLux’s tropism to solid tumors. Subsequent experiments could involve comparing the tropism of engineered KO strains to WT NisLux or performing comparative sequencing of isolated tumor resident NisLux to the initial dosing population. Citation Format: Ryan A. Hannon, Dongqing Xu, Fengyi Wan. Establishing a murine intratumoral bacterial model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 239.

Assessing Structural Transformation and the Potential Impacts of Belt and Road Initiative Projects in Africa

Infrastructure development, central to the Belt and Road Initiative (BRI), is crucial for facilitating structural transformation. However, numerous critics contend that the Initiative serves as a tool for China to engage in debt-trap diplomacy, which fails to deliver actual development in Africa. Therefore, assessing whether BRI projects will facilitate the necessary structural transformation in these countries requires meticulous analysis. Given the extended project cycle typical of infrastructure development, evaluating the overall socioeconomic impacts of the BRI is challenging. Nonetheless, these projects are likely to be implemented as part of the expansion of China's existing model for overseas infrastructure projects. This model is characterized by a reliance on concessional loans and credit facilities for financing, and state-owned enterprises as contractors. Contrary to the debt-trap diplomacy narrative, our findings, based on panel data and staggered difference-in-differences analysis, indicate that Chinese projects have positively impacted multiple aspects of Africa's structural transformation process.

Research and Application of New energy Digital System Based on BIM

With the continuous development of new energy technology, the installed scale of new energy is getting bigger and bigger, the market competition is becoming increasingly fierce, and the cost control of investment units, reference units and manufacturers in all aspects of new energy construction is becoming more and more strict. Promoting the application of BIM in new energy engineering projects can effectively reduce the cost in the design and construction stages, and more importantly, improve the efficiency of long-term operation of new energy power stations, and reduce capital investment. This paper focuses on the definition and development of BIM, key technologies and BIM-based new energy digital system, which manages the information model of new energy power generation projects, provides more effective and accurate management, and improves project operation efficiency.