F1000Research最新文献

{"title":"Effect of Elderly School Policy on Quality of Life among Thailand's Senior Citizens: A Propensity Score Matching Approach.","authors":"Worapath Kratoo, Nuchanad Hounnaklang","doi":"10.12688/f1000research.151221.1","DOIUrl":"10.12688/f1000research.151221.1","url":null,"abstract":"<p><strong>Background: </strong>As Thailand's population ages, promoting senior citizens' quality of life (QoL) is crucial. In 2017, the Ministry of Social Development and Human Security launched the \"elderly school\" initiative to foster lifelong learning and enhance the QoL among senior citizens. However, comprehensive evaluations of its impact on QoL remain limited.</p><p><strong>Methods: </strong>This cross-sectional survey aimed to assess the policy's effect on QoL in Phetchabun province, Thailand. Using quota and systematic sampling, 1,374 senior citizens aged 60-80 participated. Propensity score matching (PSM) with a 1:1 match was employed to estimate the average treatment effect (ATE) of attending the elderly school on QoL. Additionally, multiple linear regression was analyzed to assess the association between QoL and its associated factors.</p><p><strong>Results: </strong>PSM were matched successfully, the standardized difference was less than 10 percent, and the baseline after matching indicated balances with 687 elderly people in each group. The mean QoL score of the non-attending group was 44.40 (SD = 7.11), and that of the attending group was 57.50 (SD = 7.53). The ATE for elderly people attending school was 10.67 scores (95% CI: 9.67 - 11.67 scores) higher than those unattended. Being female, having monthly income higher than 20,000, having employment, having a caregiver, and attendance at elderly school were positively associated with QoL, and the standardized beta coefficients were 0.078, 0.059, 0.094, 0.066, and 0.550, respectively. Additionally, higher education was positively associated with higher QoL.</p><p><strong>Conclusion: </strong>The elderly school policy significantly enhanced the QoL of the attending senior citizens. Findings suggest continued collaboration among stakeholders to sustain and optimize this policy for improved seniors' QoL, which has the potential to utilize lifelong learning to create an inclusive framework for healthy aging among senior citizens.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"735"},"PeriodicalIF":0.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11831888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143440416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"mimicINT: A workflow for microbe-host protein interaction inference.","authors":"Sébastien A Choteau, Kevin Maldonado, Aurélie Bergon, Marceau Cristianini, Mégane Boujeant, Lilian Drets, Christine Brun, Lionel Spinelli, Andreas Zanzoni","doi":"10.12688/f1000research.160063.2","DOIUrl":"https://doi.org/10.12688/f1000research.160063.2","url":null,"abstract":"<p><strong>Background: </strong>The increasing incidence of emerging infectious diseases is posing serious global threats. Therefore, there is a clear need for developing computational methods that can assist and speed up experimental research to better characterize the molecular mechanisms of microbial infections.</p><p><strong>Methods: </strong>In this context, we developed <i>mimic</i>INT, an open-source computational workflow for large-scale protein-protein interaction inference between microbe and human by detecting putative molecular mimicry elements mediating the interaction with host proteins: short linear motifs (SLiMs) and host-like globular domains. <i>mimic</i>INT exploits these putative elements to infer the interaction with human proteins by using known templates of domain-domain and SLiM-domain interaction templates. <i>mimic</i>INT also provides <i>(i)</i> robust Monte-Carlo simulations to assess the statistical significance of SLiM detection which suffers from false positives, and <i>(ii)</i> an interaction specificity filter to account for differences between motif-binding domains of the same family. We have also made <i>mimic</i>INT available via a web server.</p><p><strong>Results: </strong>In two use cases, <i>mimic</i>INT can identify potential interfaces in experimentally detected interaction between pathogenic <i>Escherichia coli</i> type-3 secreted effectors and human proteins and infer biologically relevant interactions between Marburg virus and human proteins.</p><p><strong>Conclusions: </strong>The <i>mimic</i>INT workflow can be instrumental to better understand the molecular details of microbe-host interactions.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"128"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11982803/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143992359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Income-Based analysis of health security in Western Asia through an integrated GHSI, MCDM, and Clustering Model.","authors":"Adel A Nasser, Abed Saif Ahmed Alghawli, Salem Saleh, Amani A K Elsayed","doi":"10.12688/f1000research.159002.1","DOIUrl":"10.12688/f1000research.159002.1","url":null,"abstract":"<p><strong>Objectives: </strong>Infectious diseases present significant challenges to global health security in contemporary, interconnected global environments. This study aimed to evaluate and compare health security performance in Western Asia (WA), with a focus on income group-based disparities and region-specific insights.</p><p><strong>Methods: </strong>This study utilized the Global Health Security Index (GHSI) to assess health security across 17 WA countries categorized by income level. Health security indicators for 2019 and 2021 were analyzed using the D-CRITIC method to determine the relative importance of each indicator (Global Health Security Index, 2021): https://ghsindex.org/report-model/). A combined D-CRITIC-CoCoSo framework was employed to rank the countries, followed by K-means clustering for grading. The study also investigated correlations between financial allocation's indicators and health security outcomes using Spearman's rank correlation. A comparative analysis elucidated regional disparities across income categories.</p><p><strong>Results: </strong>This study highlights WA's progress in health security by prioritizing foundational health systems, detection/reporting, rapid response, and risk management. From 2019 to 2021, priorities varied by income group, with high-income countries focusing on detection, upper-middle-income countries focusing on risk environments, and low-income countries focusing on prevention. While some nations demonstrated improvement, others, such as Armenia, experienced decline, revealing persistent vulnerabilities. This study revealed significant variability in health security capacity, with both progress and setbacks among countries in different clusters. High- and upper-middle-income countries, such as Qatar and Georgia, leverage investments and international partnerships to improve their rankings, while conflict-affected, low-resource countries, including Iraq, Yemen, and Syria, face stagnation or decline. Strong correlations were observed between financial resource allocation indicators and health performance. Higher investments in countries like Armenia and Georgia led to significantly improved health outcomes, while minimal spending in Syria and Yemen weakened their resilience to health threats.</p><p><strong>Conclusion: </strong>Disparities in health resilience persist, underscoring the need for equitable resource allocation and regional cooperation to enhance public health security.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"43"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923535/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The EpiFusion Analysis Framework for joint phylodynamic and epidemiological analysis of outbreak characteristics.","authors":"Ciara Judge, Oliver Brady, Sarah Hill","doi":"10.12688/f1000research.162719.1","DOIUrl":"https://doi.org/10.12688/f1000research.162719.1","url":null,"abstract":"<p><p>The fields of epidemiology and viral phylodynamics share the ultimate goal of disease control, but concepts, methodologies and data employed by each differ in ways that confer complementary strengths and different areas of weakness. We recently introduced EpiFusion, a model for joint inference of outbreak characteristics using phylogenetic and case incidence data via particle filtering and demonstrated its usage to infer the effective reproduction number of simulated and real outbreaks. Here we provide a series of vignettes demonstrating data analysis using the EpiFusion Analysis Framework, consisting of the R package EpiFusionUtilities and the Java program in which the model is implemented, including an example using a new feature incorporated since EpiFusion's last description: the option to provide a phylogenetic tree posterior as the phylogenetic data input to the program. By outlining these examples, we aim to improve the usability of our model, and promote workflow reproducibility and open research.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"345"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12134729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144224890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Skill and Strategy: How Managerial Ability Drives Working Capital Efficiency.","authors":"Prasenjit Roy, Sagar Bhatt, Rakesh Dani, Premendra Kumar Singh, Asokan Vasudevan, Elangbam Nixon Singh","doi":"10.12688/f1000research.162551.1","DOIUrl":"https://doi.org/10.12688/f1000research.162551.1","url":null,"abstract":"<p><strong>Background: </strong>The study investigates the impact of Managerial Ability (MA) on Working Capital Management Efficiency (WCME), focusing on how skilled management influences working capital practices. It also explores the variation in this relationship across firms with different characteristics such as profitability and market valuations within India's economic landscape.</p><p><strong>Methods: </strong>Using a balanced panel dataset of 150 listed companies from the National Stock Exchange (NSE) of India for the period 2014-2023, the study employs Data Envelopment Analysis (DEA). WCME is assessed as a multidimensional efficiency metric incorporating inventory, accounts receivable, accounts payable, cost of goods sold , net revenue, and net income. MA is estimated using a two-step DEA-based approach, separating managerial ability from firm-specific characteristics. Generalized Estimating Equations (GEE) regression models are applied to examine the individual and interactive effects of MA and Tobin's Q (TBQ) on WCME along with other important variables.</p><p><strong>Results: </strong>The results demonstrate that MA significantly enhances WCME, particularly in firms with lower TBQ. The analysis also reveals that skilled managerial characteristics amplifies the efficiency of working capital management, aligning with the Upper Echelon Theory's (UET) claim that managerial attributes play a critical role in organizational efficiency.</p><p><strong>Conclusion: </strong>The study demonstrates managerial ability has a strong influence on corporate working capital policies. This advocates prevalence of certain fundamental concepts such as viz. Upper Echelon Theory (UET), Resource-Based View (RBV), and Agency Theory (AT). From managerial point of view, it is suggested to adopt strategic approaches in practicing WCME that will enhance firm's competitive advantage and long-term sustainability.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"347"},"PeriodicalIF":0.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013595/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143999048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Legal aspects and government policy in increasing the role of MSMEs in the Halal ecosystem.","authors":"Yusup Hidayat, Aris Machmud, Sonny Zulhuda, Suartini Suartini","doi":"10.12688/f1000research.148322.3","DOIUrl":"10.12688/f1000research.148322.3","url":null,"abstract":"<p><strong>Background: </strong>Indonesia currently could not make it to the top ten global halal due to some external and internal factors, although it is the largest Muslim country. In the external sector, the competition map is getting tougher, while internally, there are handicaps in the form of weak public awareness of competition. As a country with the largest Muslim population in the world, Indonesia can become one of the largest markets in the world. As indicated in the Global Islamic Economic Report (GIER), Indonesia is one of the top ten countries that control the Islamic economic market, yet it fails to dominate its Islamic market. Accordingly, the government needs to play a stronger role through regulatory policies to encourage the development of the Islamic economic ecosystem in Indonesia (halal value chain). The purpose of this study is to find out and analyse the existence of Micro, small, and medium enterprises (MSMEs) in Indonesia in the world's market for Halal products and Services.</p><p><strong>Methods: </strong>The researchers have conducted a form of normative juridical research with the analytical descriptive method, namely by collecting, describing, analysing, and presenting what is ( <i>das sein</i>) and what ought to be ( <i>das sollen</i>).</p><p><strong>Results: </strong>Support from the government and stakeholders has not been optimal in improving welfare - capital access, management, and halal certification, so the existence of the global halal ecosystem has not yet impacted MSMEs' ability to compete competitively.</p><p><strong>Conclusions: </strong>The conclusion of this study shows that the quadruple helix innovation system is capable of guaranteeing the development of MSMEs in a manner to achieves a high level of competitiveness - efficiency, and effectiveness of the products and services produced.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"722"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11904398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Internal Perspectives on Visual Identities in Higher Education: A Case Study of Top-Ranked Universities in Indonesia.","authors":"Putri Dwitasari, Ellya Zulaikha, Syarifa Hanoum, Rabendra Yudistira Alamin, Luqman Lee","doi":"10.12688/f1000research.159232.1","DOIUrl":"10.12688/f1000research.159232.1","url":null,"abstract":"<p><strong>Background: </strong>The neglect of visual identity (VI) at the organizational level within higher education institutions (HEIs) has become a critical issue, while previous studies over the past decade has focused on HEI branding and reputation. This creates a potential gap in understanding HEI branding processes. Thus, this study aims to explore the relationship between VI and HEI reputation by integrating the Expressiveness Quotient (EQ) and experiential brand meaning at the organizational level.</p><p><strong>Method: </strong>Using a qualitative case study approach, the study involves semi-structured interviews with 29 employees from five top-ranked universities in Indonesia. Furthermore, it analyzes the integration of experiential brand meaning across the stages of awareness, interpretation, appropriation, and communication, alongside the EQ framework to assess how visual identity impacts visibility, distinctiveness, transparency, authenticity, and consistency.</p><p><strong>Result: </strong>The findings indicate that visual identity significantly influences perceptions of institutional identity and reputation. Effective management of visual identity elements enhances competitive advantage in academia and aligns internal stakeholder perceptions with external branding, which is essential for a cohesive organizational identity.</p><p><strong>Conclusion: </strong>This study emphasizes the strategic importance of visual identity in enhancing institutional reputation and provides a model for universities aiming to strengthen their reputational power through effective visual identity management. The study also reveals strong awareness and acceptance of brand identity.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1535"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142982727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a Knowledge, Attitudes and Practices (KAP) questionnaire for healthcare professionals on environmental sustainability in healthcare in Southern Africa.","authors":"Helga Elke Lister, Karien Mostert, Tanita Botha, Emma Field, Danté Knock, Natasha Mubi, Stefani Odendaal, Megan Rohde, Filip Maric","doi":"10.12688/f1000research.157487.1","DOIUrl":"10.12688/f1000research.157487.1","url":null,"abstract":"<p><strong>Background: </strong>The triple planetary crisis of climate change, environmental pollution, and biodiversity loss is increasingly driving poor health outcomes worldwide. Healthcare systems and services are often not environmentally sustainable and compound the problem, while healthcare professionals are also recognised as key leaders in advancing sustainable healthcare. To adopt this leadership position, healthcare professionals' knowledge, attitudes, and practices regarding environmental sustainability in healthcare must be established. This article reports the development and validation of a new instrument for this purpose that corresponds to the specificities of the Southern African context.</p><p><strong>Methods: </strong>Questionnaire development followed a seven-stage process. Information was obtained from a 2021 study titled 'South African Healthcare Professionals' Knowledge, Attitudes, and Practices Regarding Environmental Sustainability in Healthcare: A Mixed-Methods Study' to develop the instrument. Information was also sourced from the literature regarding environmental sustainability and healthcare to generate the first questionnaire with 29 items. The following stages included two rounds of expert input, separated by a pilot study with the target population to receive feedback regarding the instrument's structure, relevance, and length. Content validity was determined through statistical analysis.</p><p><strong>Results: </strong>Feedback was received from nine experts in stage two and 13 pilot-study participants in stage four and incorporated to improve the questionnaire. In stage six, the questionnaire was rated by seven experts. The content validity index of the questionnaire was calculated at two different stages, after which the indices were compared. Following a final edit, the questionnaire has 24 questionnaire items. The closing analysis calculated the scale content validity index average (S-CVI/Ave) of 0,922; this indicates that the final questionnaire has excellent content validity.</p><p><strong>Conclusion: </strong>A questionnaire that assesses the knowledge, attitudes and practices of healthcare professionals regarding environmental sustainability in Southern Africa has been developed and validated. This questionnaire can now be used for further studies in Southern Africa.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"1308"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11885900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143585432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning based radiomics approach for outcome prediction of meningioma - a systematic review.","authors":"Saroh S, Saikiran Pendem, Prakashini K, Shailesh Nayak S, Girish R Menon, Priyanka -, Divya B","doi":"10.12688/f1000research.162306.1","DOIUrl":"https://doi.org/10.12688/f1000research.162306.1","url":null,"abstract":"<p><strong>Introduction: </strong>Meningioma is the most common brain tumor in adults. Magnetic resonance imaging (MRI) is the preferred imaging modality for assessing tumor outcomes. Radiomics, an advanced imaging technique, assesses tumor heterogeneity and identifies predictive markers, offering a non-invasive alternative to biopsies. Machine learning (ML) based radiomics models enhances diagnostic and prognostic accuracy of tumors. Comprehensive review on ML-based radiomics models for predicting meningioma recurrence and survival are lacking. Hence, the aim of the study is to summarize the performance measures of ML based radiomics models in the prediction of outcomes such as progression/recurrence (P/R) and overall survival analysis of meningioma.</p><p><strong>Methods: </strong>Data bases such as Scopus, Web of Science, PubMed, and Embase were used to conduct a literature search in order to find pertinent original articles that concentrated on meningioma outcome prediction. PRISMA (Preferred reporting items for systematic reviews and meta-analysis) recommendations were used to extract data from selected studies.</p><p><strong>Results: </strong>Eight articles were included in the study. MRI Radiomics-based models combined with clinical and pathological data showed strong predictive performance for meningioma recurrence. A decision tree model achieved 90% accuracy, outperforming an apparent diffusion coefficient (ADC) based model (83%). A support vector machine (SVM) model reached an area under curve (AUC) of 0.80 with radiomic features, improving to 0.88 with ADC integration. A combined clinico-pathological radiomics model (CPRM) achieved an AUC of 0.88 in testing. Key predictors of recurrence include ADC values, radiomic scores, ki-67 index, and Simpson grading. For predicting overall survival analysis of meningioma, the combined clinicopathological and radiomic features achieved an AUC of 0.78.</p><p><strong>Conclusion: </strong>Integrating radiomics with clinical and pathological data through ML models greatly improved the outcome prediction for meningioma. These ML models surpass conventional MRI in predicting meningioma recurrence and aggressiveness, providing crucial insights for personalized treatment and surgical planning.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"14 ","pages":"330"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11979578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of soaking heat-polymerized acrylic resin denture base in avocado seed extract ( <i>Persea americana</i> Mill.) on the inhibition of denture-plaque microorganisms biofilm growth.","authors":"Thalia Angela, Siti Wahyuni, Susanna Halim","doi":"10.12688/f1000research.152800.2","DOIUrl":"10.12688/f1000research.152800.2","url":null,"abstract":"<p><strong>Background: </strong>Heat polymerized acrylic (HPA) resins are known to have high porosity that contributes to increased surface roughness and microcrack formation in stress areas. This facilitates the attachment and growth of polymicrobial biofilms contributing to increased antimicrobial resistance. This research aims to study avocado seeds effect on denture-plaque microorganism mono-species and polymicrobial biofilm on HPA resin.</p><p><strong>Methods: </strong>This study uses 144 samples (n=144), namely HPA resin discs covered with mono-species and polymicrobial biofilms. The discs are soaked for 8 hours in the 5%, 10%, 15%, 20% avocado seed extract, positive control (alkaline peroxide), and negative control (aquadest). Each disc is shaken with a vortex mixer for 1 minute, and 100 μL is added into 96-well microplates with three times repetition and incubated for 24 hours. A microtiter plate biofilm formation assay is then conducted. The inhibition values are determined from the percentage inhibition value formula which requires absorption values from a microplate reader (595 nm). The research data are analyzed using a univariant test, and a one-way ANOVA test, accompanied by Welch ANOVA on non-homogenous data.</p><p><strong>Results: </strong>In this research, it is found that the MBIC ₅₀ of avocado seed extract against the mono-species of <i>C. albicans</i> (5%), <i>C. glabrata</i> (5%), <i>A. odontolyticus</i> (15%), <i>S. gordonii</i> (15%), <i>S. aureus</i> (10%), while against polymicrobial was 20%. There is a significant effect of soaking HPA resin in avocado seed extract on the inhibition of mono-species and polymicrobial biofilms with a value of p<0.001 (p<0.05).</p><p><strong>Conclusion: </strong>The MBIC ₅₀ of avocado seed extract in polymicrobial biofilm group is higher than that in the mono-species biofilm groups. Hence, 20% avocado seed extract is concluded as the effective concentration to inhibit denture-plaque microorganism biofilm.</p>","PeriodicalId":12260,"journal":{"name":"F1000Research","volume":"13 ","pages":"933"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806257/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143381869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}