Project Titles Research Articles

The Thuss Lectureship Series at Vanderbilt University.

The Thuss lectureship began in 1978 and is carried at both Vanderbilt University Medical Center and Stanford Medical Center. The 2-day event consists of a resident and fellow workshop and dinner with an invited keynote speaker, followed by a didactic session and research presentation the following morning. This lecture honors the career of Dr Charles J. Thuss, Sr, and acts as a memorial for Dr Thuss, Jr, and his son, Carter. Trainee presentations have been catalogued since 2019, and we sought to identify the presentations that resulted in publications. Internal records from 2019 to 2022 were referenced to catalogue presenters and project titles. PubMed searches were conducted to identify projects from these presenters with direct links to their presentations at the lectureship series. The event has been held consecutively from 1978 to 2023 with 44 keynote lecturers. Between 2019 and 2023, 17 residents, fellows, and medical students from Vanderbilt University Medical Center or/and the Tennessee Society of Plastic Surgery gave 19 research presentations for the Thuss lectureship at Vanderbilt. Due to the pandemic, no resident or trainee presentations were given in 2020. Nine of 11 project presentations resulted in publications, with presenters being the resultant first author of 6 of these articles. The Thuss lectureship at Vanderbilt serves as an academic conduit to share research and build camaraderie among plastic surgeons across Tennessee. Additionally, it fosters a platform for trainees to contribute to the academic literature and see projects from inception to publication.

Abstract PO5-05-10: Analysis of Trends in Funding of Metastatic Breast Cancer Research

Abstract Introduction To inform funding strategies for research in metastatic breast cancer (MBC), knowledge of the current research landscape and identification of potential gap areas requiring additional research are essential. In 2014, the Metastatic Breast Cancer Alliance (MBCA) published an analysis that showed that between 2000 and 2013, only 7% of all funds for breast cancer research were devoted to metastasis. As more people are living with MBC, addressing research priorities for those living with the disease is important, as is understanding gaps in the current funding landscape of MBC research to appropriately target investment. Methods A collaborative effort between funders and patients was undertaken to analyze breast cancer projects funded between 2014 and 2020 from the International Cancer Research Partnership database, the Health Resource Alliance database, and MBCA members, representing grants from 83 non-profit organizations worldwide. Project titles, abstracts, and classifications of these grants were extracted from these databases. Next, to identify research projects in the databases that are related to metastasis, a classification tool that uses a machine learning algorithm was built, trained on manually coded grants from the 2000-2013 analysis, and validated by expert coders. Projects were then coded according to a pre-established metastasis classification policy to categories such as type of research (e.g., treatment), genes or proteins studied, site of metastasis, breast cancer subtype, and patient priority questions. In terms of the latter, MBCA members living with MBC were surveyed about research priorities. Member advocates ranked survey questions according to highest patient priority, and these were converted to language that could be queried with the tool. Results Investment in MBC research nearly doubled from 2014 to 2020. Research into understanding and overcoming treatment resistance, which was the highest patient priority question, increased from 15% in 2014 to 26% of the MBC portfolio in 2020; this was a statistically significant increase above the rate of inflation. In terms of treatment resistance according to subtype, the highest number of projects focused on triple-negative MBC (>300). By contrast, < 20 projects were focused on overcoming treatment resistance in metastatic invasive lobular breast cancer. Of the six categories evaluated (e.g. biology and detection/diagnosis/prognosis), the largest increase in investment was for treatments. Discussion The coding tool allows for ongoing complex queries such as identification of funded research relevant to areas identified as important by MBC advocates (Table) and provides a funders’ ‘dashboard’ to identify gap areas in need of further research funding. This collaborative effort between funders and patient advocates, and the resulting current and future analyses, can be used to focus advocacy efforts to drive research funding of priorities and understudied areas of MBC. Despite the increase in funding, the investment in metastatic research–the primary cause of death from breast cancer–remains insufficient. Table. Research Priorities of MBC Patient Advocates Citation Format: Margaret Flowers, Teri Pollastro, Kari Wojtanik, Katherine McKenzie, Kimberly Badovinac, Medha Deoras-Sutliff, Lynne Davies. Analysis of Trends in Funding of Metastatic Breast Cancer Research [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-05-10.

Project-Based Learning Implementation in Fundamental Chemistry Courses to Meet the 21st Century Learning Target

This research aimed at describing and explaining the implementation of project-based learning results in Fundamental Chemistry I course. This research was focused in achieving the 21st century learning target, namely students’ critical thinking, creativity, collaboration, and communication skills. This research was conducted in Chemistry Education Study Program of Undiksha involving 19 people of first year students in academic year 2022/2023. This research was qualitative research using descriptive method. The data were collected by utilizing observation and document analysis techniques and analyzed by using interpretive analysis. The research results reveal that: 1) Students are able to propose project titles critically and creatively in accordance with the given theme; 2) Students are able to plan and implement the project as well as report the project results in accordance with the given format; and 3) Students are able to communicate the project orally and written through classroom presentation and project report writing.

Project based learning and Proctored online assessment in Lab courses to enhance CDIO Skills – A case study of Microcontroller laboratory course

Abstract: CDIO(Conceive/Design/Implement/Operate) is an educational framework for engineering programs that aims to produce graduates possessing all- rounded set of skills and competencies. The laboratory courses plays important role in inculcating CDIO skills. This proposal explains an attempt conducted in a Microcontroller laboratory course which uses proctored online theoretical assessment and project-based learning in lab course. Thus, a blend of group and individual activities are inserted during the conduct of lab. It is proposed to give one project relating the concepts of the course and to conduct at least two online theoretical assessments, one at the end of first cycle of experiments and second at the end of second cycle experiments. A representative list of project titles is provided to the students. Assessment questions include all the aspects such as background theory of the experiments, conduction of experiments, observation, calculations and inferences. Three research questions are formulated and addressed. It is found from the assessment results that these projects and assessments results in the better understanding of the concepts in the experiments. On the other hand, these assessments helps teachers to analyze the difficulty faced by the students in understanding the theory back ground of the laboratory experiment and plan accordingly. The results are strengthened using statistical tests. Keywords: CDIO, PBL, online assessment, lab courses, Microcontroller

Classification of Final Project Titles Using Bidirectional Long Short Term Memory at the Faculty of Engineering Nurul Jadid University

Every year, the Faculty of Engineering at Nurul Jadid University forms a committee to manage the process of students' final projects from the title selection stage to the final examination process until graduation. The process of selecting the final project title is still done manually, namely by checking the titles one by one, which takes a long time and allows errors because there is a lot of data to check, so human errors can also occur. Therefore, this research proposes to use the Bidirectional Long Short Term Memory (BiLSTM) method to classify the final project title based on its grade category. Several experiments were conducted to generate the most appropriate labels. The first experiment produced 4 labels and the second experiment produced 2 labels. From the results of several experiments, it was concluded that the second experiment had the best accuracy results with the 'good enough' and 'good' classes. The oversampling technique was then applied to overcome overlapping data, and the turning process was then performed on several parameters that could re-optimize the previous accuracy result of 75.24% to 91.15%. With a configuration of 10 random state parameters, using 64 batch sizes and 50 epochs. In addition, model adjustments were made to the hidden layer by adding a dropout layer and relu activation.

Penggunaan Algoritma Naïve Bayes pada Klasifikasi Judul Proyek Akhir Berdasarkan Kelompok Bidang Kompetensi (KBK)

The Final Project is one of the graduation requirements that must be met by Caltex Riau Polytechnic students. The title of the final project is submitted by students through the SIAK system. Currently, students who submit titles will choose their own type of KBK from the inputted title. So that a problem arises where the title of the final project does not match the KBK it should or the KBK is wrong. This is due to the ignorance of students in analyzing the title data of the final project that will be submitted. For this reason, a system is needed to classify Final Project titles based on CBC automatically. The system created is a system that can classify KBK automatically based on the description of the title of the Final Project by using text mining methods and nave Bayes algorithms. The system can also detect the percentage of similarity of the entered title with the existing title in the system database. The algorithm used to generate the percentage of title similarity is cosine similarity with text mining method.

Have Quadruple and Quintuple Helices Emerged? Metaphors, Project Titles, and Empirical Research

Abstract In the original Triple Helix model (Etzkowitz and Leydesdorff 1995), the three “helices” of Universities, Industry and Government and the (3-way) interactions among and between them were proposed as a basis for looking at how entrepreneurship comes into being. Since the original article, other “helix-based” models have been proposed. Some vary the triple and others propose higher numbers of helix – with 4 and 5as the most typical extensions. In the article “Triple, Quadruple, and Higher-Order Helices: Historical phenomena and (neo-)evolutionary models,” Leydesdorff and Lawton Smith (2022) developed an Information-Theory based approach to look more formally at the need for higher-order helices. In the case of two helices, processes of mutual shaping can generate historical trajectories that could have been otherwise: other options providing possible states, which have not yet historically been realized (Petersen et al., 2016). Adding a third helix makes a substantive change from an information point of view: a Triple Helix model is not just the sum of three sets of 2-way interactions. However, once this number has been reached further additions can be decomposed into sets of triads (Batagelj et al., 2014; Simmel, 1902). This leads to the suggestion that higher-dimensional helix structures potentially add little to discourse. Four (sets of) authors were asked by the Editors of the Triple Helix to respond to Leydesdorff and Lawton Smith (2022). Many insightful and interesting points were raised including convenience, presentation and the need to allow a more unified theory model. These are discussed in this article’s “responses to just criticism” (Shostakovich, 1937). It continues the debate on triple and higher-order helices by summarising and responding to the points made by those commentators. What may be the status of triple and/or higher-order helices?

Presentation to Publication: Analysis of Departmental Research Funding and Trainee Research Productivity [A61

INTRODUCTION: Conducting research is critical to the development of physician scientists; the authors’ obstetrics and gynecology department requires each resident to conduct an original research project that is then presented during an annual trainee Research Day (RD). A department research fund (DRF) was implemented in 2008 and a formal research curriculum subsequently implemented in effort to foster trainee academic success. This analysis explores associations between trainee DRF funding, peer-reviewed publication, and future National Institutes of Health (NIH) funding at a single academic institution over a 32-year period. METHODS: RD project titles and funding status were compiled from a single academic obstetrics and gynecology department from 1989-2020. Significant milestones were the DRF (2008) and implementation of a formal research curriculum (2017). Outcomes were peer-reviewed publication of the RD project within 5 years of RD presentation and subsequent NIH funding of the trainee. Chi-squared tests were used to investigate these relationships. RESULTS: Among 361 obstetrics and gynecology trainee (238 resident and 123 fellow) research projects presented at RD between 1989-2020, 169/361(46.8%) were peer-review published. Any funding of an RD project was associated with increased publication rate across the study period (85.9% versus 32%; P<.01). DRF-funded projects were also more likely to be published within 5 years (78.6% versus 57.7%; P=.03). DRF recipients were more likely to garner future NIH funding than non-recipients (37.9% versus 6.5%; P<.001). CONCLUSION: Trainee receipt of DRF funding is associated with both future NIH funding and trainee research publication. Program leaders may consider a formal research curriculum and a DRF to enhance the trainee research experience.

Mapping of Danish Pharmacy Technician Students' Third-Year Projects in a Year with the COVID-19 Pandemic.

To graduate, pharmacy technician students write a project in their third year. They choose between six elective courses, and work with a subject related to their education and everyday practice at community or hospital pharmacies. In this article, we report the mapping of third-year project themes and provide an overview of the challenges that COVID-19 pandemic restrictions have had on completing the projects. On the basis of all project titles, a list of themes was generated and described before all projects were allocated to one of the themes. Challenges experienced due to the COVID-19 pandemic were investigated from an analytical workshop where supervisors discussed their experience with supervising students throughout the completion of the projects. In total, 140 projects were included and thematised into eight themes: advanced pharmacy services, digital patient support, organisation and collaboration, handling of medicine, automated dose dispensing, medication counselling in community pharmacy, hospital pharmacy, and others, covering all six elective courses. The COVID-19 pandemic affected students’ possibilities to collect data from either physical interviews or observations. The challenges prompted both constructive and creative discussions between students and supervisors to find ways to complete the projects, and required flexibility from all those involved: students, supervisors, community pharmacies, and hospital pharmacies. In conclusion, all students managed to complete their third-year project at a similar level of achievement statistically compared to average grades for the previous six years (2016–2020).

Have Quadruple and Quintuple Helices Emerged? Metaphors, Project Titles, and Empirical Research

Have Quadruple and Quintuple Helices Emerged? Metaphors, Project Titles, and Empirical Research

The Supportive Role of International Government Funds on the Progress of Sepsis Research During the Past Decade (2010–2019): A Narrative Review

This narrative review aimed to clarify the characteristics of international government support for sepsis research, trends in published literature on sepsis, and potential contributions of government-source grants to progress in sepsis research between fiscal years 2010 and 2019. The data in this study were collected from the National Institutes of Health (NIH, https://projectreporter.nih.gov/reporter.cfm/) of the United States of America (USA), National Natural Science Foundation of China (NSFC, https://isisn.nsfc.gov.cn/egrantweb/), and Japan Society for the Promotion of Science (JSPS, https://kaken.nii.ac.jp/). All sepsis-related projects approved by the NIH, NSFC, and JSPS were retrieved by searching the project titles, abstracts, and key words for “sepsis,” “septic shock,” or “sepsis inflammatory response syndrome” between 2010 and 2019. Representative sepsis-related studies published between Jan 2010 and Aug 2020 by the first/corresponding authors from these countries were obtained by searching the PubMed database using Medical Subject Heading terms for “sepsis” in representative journals, including Nature, Cell, Science, The Lancet, New England Journal of medicine (New Engl J Med), The Journal of American Medical Association (JAMA), Critical Care Medicine (CCM), Intensive Care Medicine (ICM), Chest, Annals of Emergency Medicine (Ann Emerg Med), and American Thoracic Society journals (ATS). The total/annual institutional budgets, major funding mechanisms and schemes, superior institutions and individual principal investigators, and published original research articles in the field of sepsis in the USA, China, and Japan during the past decade were investigated. The national supporting schemes of the NIH, NSFC, and JSPS were similar. Support from these institutions is quite important for the development of the field of “sepsis” which was acknowledged in 57–64% of original research articles published in CCM. For the future development of precision medicine in sepsis, more government funding support is necessary.

Scientific evidence based rare disease research discovery with research funding data in knowledge graph

BackgroundLimited knowledge and unclear underlying biology of many rare diseases pose significant challenges to patients, clinicians, and scientists. To address these challenges, there is an urgent need to inspire and encourage scientists to propose and pursue innovative research studies that aim to uncover the genetic and molecular causes of more rare diseases and ultimately to identify effective therapeutic solutions. A clear understanding of current research efforts, knowledge/research gaps, and funding patterns as scientific evidence is crucial to systematically accelerate the pace of research discovery in rare diseases, which is an overarching goal of this study.MethodsTo semantically represent NIH funding data for rare diseases and advance its use of effectively promoting rare disease research, we identified NIH funded projects for rare diseases by mapping GARD diseases to the project based on project titles; subsequently we presented and managed those identified projects in a knowledge graph using Neo4j software, hosted at NCATS, based on a pre-defined data model that captures semantics among the data. With this developed knowledge graph, we were able to perform several case studies to demonstrate scientific evidence generation for supporting rare disease research discovery.ResultsOf 5001 rare diseases belonging to 32 distinct disease categories, we identified 1294 diseases that are mapped to 45,647 distinct, NIH-funded projects obtained from the NIH ExPORTER by implementing semantic annotation of project titles. To capture semantic relationships presenting amongst mapped research funding data, we defined a data model comprised of seven primary classes and corresponding object and data properties. A Neo4j knowledge graph based on this predefined data model has been developed, and we performed multiple case studies over this knowledge graph to demonstrate its use in directing and promoting rare disease research.ConclusionWe developed an integrative knowledge graph with rare disease funding data and demonstrated its use as a source from where we can effectively identify and generate scientific evidence to support rare disease research. With the success of this preliminary study, we plan to implement advanced computational approaches for analyzing more funding related data, e.g., project abstracts and PubMed article abstracts, and linking to other types of biomedical data to perform more sophisticated research gap analysis and identify opportunities for future research in rare diseases.

Prototypical Resilience Projects for Postdisaster Recovery Planning: From Theory to Action

Rebuilding communities requires an actionable approach to explicitly translate the concept of resilience into postdisaster recovery planning. Through clustering analysis using project titles and project summary, 940 resilience projects are grouped into infrastructure prototypes, economic development prototypes, housing prototypes, and environmental prototypes among the Hurricane Matthew Resilient Redevelopment Plans. This research evaluated the characteristics of all prototypes based on the robustness-rapidity-inclusiveness framework. It also assessed the economic and environmental impacts, community involvement, and governance of identified prototypes. By posing a series of questions for practitioners, this research is a starting point for practitioners to build resilience in postdisaster recovery planning.

TF-IDF Implementation for Similarity Checker on The Final Project Title

Students of the Software Engineering Technology Study Program, Department of Information Technology, Politeknik Negeri Padang, is required to compile a final project to complete their study period. In the implementation of the final project, several parties have involved such as the KBK team whose job is to check whether the proposed title is appropriate or not. The main issue undertaken by KBK is whether the title submitted has been used or not. The method used by KBK in checking the availability of titles was by looking at the titles of the final projects that have been submitted by previous students. The examination process carried out by the KBK, it took a long time. By utilizing the Cosine Similarity algorithm and TF-IDF, it is expected that it will make it easier for KBK to check the availability of final project titles. Cosine similarity is a method used to calculate the degree of similarity between 2 or more documents. While the TF-IDF Algorithm is a method used to weight a word in a document. The object of testing in this study was the title of the student’s final project. The process of calculating the level of similarity of documents started from the preprocessing stage, then proceeds with weighting using TF-IDF and calculating the level of similarity used the Cosine Similarity algorithm. The final result found that system could calculate the degree of similarity of the title of the student’s final project. From the results of testing the process of calculating the degree of similarity of titles using the cosine similarity algorithm can be undertaken quickly.

TF-IDF Implementation for Similarity Checker on The Final Project Title

Students of the Software Engineering Technology Study Program, Department of Information Technology, Politeknik Negeri Padang, is required to compile a final project to complete their study period. In the implementation of the final project, several parties have involved such as the KBK team whose job is to check whether the proposed title is appropriate or not. The main issue undertaken by KBK is whether the title submitted has been used or not. The method used by KBK in checking the availability of titles was by looking at the titles of the final projects that have been submitted by previous students. The examination process carried out by the KBK, it took a long time. By utilizing the Cosine Similarity algorithm and TF-IDF, it is expected that it will make it easier for KBK to check the availability of final project titles. Cosine similarity is a method used to calculate the degree of similarity between 2 or more documents. While the TF-IDF Algorithm is a method used to weight a word in a document. The object of testing in this study was the title of the student’s final project. The process of calculating the level of similarity of documents started from the preprocessing stage, then proceeds with weighting using TF-IDF and calculating the level of similarity used the Cosine Similarity algorithm. The final result found that system could calculate the degree of similarity of the title of the student’s final project. From the results of testing the process of calculating the degree of similarity of titles using the cosine similarity algorithm can be undertaken quickly.

APLIKASI PENCEGAH PLAGIASI JUDUL TUGAS AKHIR DI AMIK TRI DHARMA PEKANBARU BERBASIS WEB

<p><em>AMIK “Tri Dharma Pekanbaru is one of the campuses that are starting to develop, the facilities are starting to be complete but still have quite complex weaknesses in submitting the title of the final project. Especially in looking for titles that are not similar to the previous one. Until now, AMIK Tri Dharma Pekanbaru in submitting student final project titles is still using the system manually, by way of students giving the title of their final project in writing to the study program. So that the title submitted by students is often rejected because of the similarity with the previous title or inefficient. Therefore, the existence of this web-based plagiarism prevention application is one way to make it easier for students to submit final assignment titles. The title of this final project is implemented using the PHP programming language while for database processing using MySQL.</em></p>

The effects of brand prominence and narrative features on crowdfunding success for entrepreneurial aftermarket enterprises

This study examines how small, entrepreneurial enterprises can design crowdfunding projects for their aftermarket offerings. Drawing from signaling theory and the elaboration likelihood model, we investigate the direct and interactive effects of brand prominence (i.e., conspicuous display of a brand name in project titles and descriptions) and narrative features (i.e., language styles and narrative length) on funding success of crowdfunding projects by entrepreneurial aftermarket enterprises. Analysis of data from 343 crowdfunding projects shows the positive influence of brand prominence, language style, and narrative length on funding success. Findings also show that brand prominence increases the effects of language styles and narrative length on funding success. Based on these findings, we identify multiple theoretical contributions and directions for future research as well as practical recommendations for entrepreneurial aftermarket enterprises on designing crowdfunding projects.

Priorities for Social and Humanities Projects Based on Text Analysis①

Abstract Purpose Changes in the world show that the role, importance, and coherence of SSH (social sciences and the humanities) will increase significantly in the coming years. This paper aims to monitor and analyze the evolution (or overlapping) of the SSH thematic pattern through three funding instruments since 2007. Design/methodology/approach The goal of the paper is to check to what extent the EU Framework Program (FP) affects/does not affect research on national level, and to highlight hot topics from a given period with the help of text analysis. Funded project titles and abstracts derived from the EU FP, Slovenian, and Estonian RIS were used. The final analysis and comparisons between different datasets were made based on the 200 most frequent words. After removing punctuation marks, numeric values, articles, prepositions, conjunctions, and auxiliary verbs, 4,854 unique words in ETIS, 4,421 unique words in the Slovenian Research Information System (SICRIS), and 3,950 unique words in FP were identified. Findings Across all funding instruments, about a quarter of the top words constitute half of the word occurrences. The text analysis results show that in the majority of cases words do not overlap between FP and nationally funded projects. In some cases, it may be due to using different vocabulary. There is more overlapping between words in the case of Slovenia (SL) and Estonia (EE) and less in the case of Estonia and EU Framework Programmes (FP). At the same time, overlapping words indicate a wider reach (culture, education, social, history, human, innovation, etc.). In nationally funded projects (bottom-up), it was relatively difficult to observe the change in thematic trends over time. More specific results emerged from the comparison of the different programs throughout FP (top-down). Research limitations Only projects with English titles and abstracts were analyzed. Practical implications The specifics of SSH have to take into account—the one-to-one meaning of terms/words is not as important as, for example, in the exact sciences. Thus, even in co-word analysis, the final content may go unnoticed. Originality/value This was the first attempt to monitor the trends of SSH projects using text analysis. The text analysis of the SSH projects of the two new EU Member States used in the study showed that SSH's thematic coverage is not much affected by the EU Framework Program. Whether this result is field-specific or country-specific should be shown in the following study, which targets SSH projects in the so-called old Member States.

Analysis of Government-Funded Research in Indonesia from 2014-2018: Implications for Research Trends in Science Education

Government funding has the potential to increase research on particular topics that represent an integral focus of governmental policy. The reason is that researchers who seek funding from government sources need to target specific calls for research on topics that the government has identified as necessary for society. Analysis of funding trends can raise awareness about what topics are receiving adequate attention and can demonstrate how funding schemes may serve to limit (intentionally and unintentionally) researchers’ authority to design and manage projects and disseminate findings that are not financially supported by government funding agencies. In this study, we used a content analysis approach to analyze all projects awarded to the top five public teacher education institutions (TEIs) in Indonesia from 2014-2018. From the research project list from the five TEIs, we identified 225 science education projects for the sample of analysis. We extracted all keywords (nouns and adjectives) from the research project titles and grouped all extracted keywords into four categories: research topic, research subject or context, research product and outcomes, and content target. From the analysis, we offer some educational context for why scientific literacy and character and values education have emerged as such prominent topics in Indonesia, and we highlight the importance of greater involvement of teachers in research projects, the significance of research outcomes for improving science teaching and learning in schools, and the need to promote research on pedagogical coursework.

National Institutes of Health Dermatology Funding Trends 2015–2019

National Institutes of Health Dermatology Funding Trends 2015–2019