Initial Analysis Research Articles

Machine Learning Backpropagation Prediction and Analysis of the Thermal Degradation of Poly (Vinyl Alcohol).

Thermogravimetric analysis (TGA) is crucial for describing polymer materials' thermal behavior as a result of temperature changes. While available TGA data substantiated in the literature significantly focus attention on TGA performed at higher heating rates, this study focuses on the machine learning backpropagation analysis of the thermal degradation of poly (vinyl alcohol), or PVA, at low heating rates, typically 2, 5 and 10 K/min, at temperatures between 25 and 600 °C. Initial TGA analysis showed that a consistent increase in heating rate resulted in an increase in degradation temperature as the resulting thermograms shifted toward a temperature maxima. At degradation temperatures between 205 and 405 °C, significant depths in the characterization of weight losses were reached, which may be attributed to the decomposition and loss of material content. Artificial neural network backpropagation of machine learning algorithms were used for developing mathematical descriptions of the percentage weight loss (output) by these PVA materials as a function of the heating rate (input 1) and degradation temperature (input 2) used in TGA analysis. For all low heating rates, modelling predictions were observably correlated with experiments with a 99.2% correlation coefficient and were used to interpolate TGA data at 3.5 and 7.5 K/min, indicating trends strongly supported by experimental TGA data as well as literature research. Thus, this approach could provide a useful tool for predicting the thermograms of PVA materials at low heating rates and contribute to the development of more advanced PVA/polymer materials for home and industrial applications.

Negative faculty role modelling – is it a reflection of deteriorating societal values?

Background Negative faculty role modelling is an area of growing concern especially due to its implications on medical professionalism. The study aims to explore the impacts of negative role modelling on professionalism of medical students in the context of Pakistan. Methods This qualitative study is part of a larger study exploring impacts of role modelling on professionalism of students. It is based on Constructivist Grounded Theory involving six semi-structured interviews with clinical faculty and three focus group discussions with 22 students. Initial, focused, selective coding and thematic analysis was used to find the core category. Results Three overarching categories were developed: traits observed with negative role models; impact of negative role modelling; factors promoting negative role modelling. Subcategories of impacts included negative impact on professionalism, emotional impact, and its paradoxical positive impact. Negative role modelling, a manifestation of declining professionalism, was attributed to deteriorating societal values; further compounded by the lack of required mechanisms by institutions and the regulatory authority at their respective levels. Conclusions In the absence of a strong moral platform at societal level, the burden of responsibility rests with the faculty and more importantly with institutions and regulatory bodies to discourage negative role modelling and educate students to recognize, reflect on and avoid negative behaviours and adopt strong professional values.

Introducing the Video In Situ Snowfall Sensor (VISSS)

Abstract. The open-source Video In Situ Snowfall Sensor (VISSS) is introduced as a novel instrument for the characterization of particle shape and size in snowfall. The VISSS consists of two cameras with LED backlights and telecentric lenses that allow accurate sizing and combine a large observation volume with relatively high pixel resolution and a design that limits wind disturbance. VISSS data products include various particle properties such as maximum extent, cross-sectional area, perimeter, complexity, and sedimentation velocity. Initial analysis shows that the VISSS provides robust statistics based on up to 10 000 unique particle observations per minute. Comparison of the VISSS with the collocated PIP (Precipitation Imaging Package) and Parsivel instruments at Hyytiälä, Finland, shows excellent agreement with the Parsivel but reveals some differences for the PIP that are likely related to PIP data processing and limitations of the PIP with respect to observing smaller particles. The open-source nature of the VISSS hardware plans, data acquisition software, and data processing libraries invites the community to contribute to the development of the instrument, which has many potential applications in atmospheric science and beyond.

Working memory capacity preferentially enhances implementation of proactive control.

Previous research has linked working memory capacity (WMC) with enhanced proactive control. However, it remains unclear the extent to which this relationship reflects the influence of WMC on the tendency to engage proactive control, or rather, the ability to implement it. The current study sought to clarify this ambiguity by leveraging the Dual Mechanisms of Cognitive Control (DMCC) version of the AX-CPT task, in which the mode of cognitive control is experimentally manipulated across distinct testing sessions. To adjudicate between competing hypotheses, Bayesian mixed modeling was used to conduct sequential analyses involving two separate data sets. Posterior parameter estimates obtained from the initial analysis were entered as informed priors during the replication analysis to evaluate the influence of new data on previous estimates. Results yielded strong evidence demonstrating that the influence of WMC on proactive control is most robust under experimentally controlled conditions, during which use of proactive control is standardized across participants via explicit training and instruction. Critically, the observed pattern of findings suggests that the relationship between WMC and proactive control may be better characterized as individual differences in the ability to implement proactive control, rather than a more generalized tendency to engage it. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Age-related positive emotional reactivity decline associated with the anterior insula based resting-state functional connectivity.

Recent studies have suggested that emotional reactivity changes with age, but the neural basis is still unclear. The insula may be critical for the emotional reactivity. The current study examined how ageing affects emotional reactivity using the emotional reactivity task data from a human sample (Cambridge Center for Age and Neuroscience, N = 243, age 18-88 years). The resting-state magnetic resonance measurements from the same sample were used to investigate the potential mechanisms of the insula. In the initial analysis, we conducted partial correlation assessments to examine the associations between emotional reactivity and age, as well as between the gray matter volume (GMV) of the insula and age. Our results revealed that emotional reactivity, especially positive emotional reactivity, decreased with age and that the GMV of the insula was negatively correlated with age. Subsequently, the bilateral insula was divided into six subregions to calculate the whole brain resting-state functional connectivity (rsFC). The mediating effect of the rsFC on age and emotional reactivity was then calculated. The results showed that the rsFC of the left anterior insula (AI) with the right hippocampus, and the rsFCs of the right AI with the striatum and the thalamus were mediated the relationship between positive emotional reactivity and age. Our findings suggest that attenuating emotional reactivity with age may be a strategic adaptation fostering emotional stability and diminishing emotional vulnerability. Meanwhile, the findings implicate a key role for the AI in the changes in positive emotional reactivity with age.

International Federation of Red Cross and Red Crescent Societies (IFRC) and its contribution to the development of Humanitarian Diplomacy

This article deals with the role of the International Federation of Red Cross and Red Crescent Societies (IFRC) in the development of humanitarian diplomacy. As one of the largest humanitarian organizations in the world, the IFRC plays a key role in coordinating and providing assistance in emergencies, as well as in strengthening international cooperation and advocacy. The article analyses the main areas of IFRC activities, including its efforts to provide humanitarian assistance in areas of armed conflict, natural disasters and other crisis situations. The mechanisms of the Federation's interaction with state structures, international organizations and non-governmental actors are considered, and their effectiveness is assessed. Special attention is paid to such aspects as resource mobilization, development and implementation of emergency preparedness programs, and support and protection of vulnerable groups. The author provides a detailed analysis of key initiatives and programs implemented by the IFRC, such as the “More Than Aid” strategy, the “Time for Humanitarian Action” initiative and climate change programs. The article uses general scientific methods and the method of situation analysis, which made it possible to determine the scope of scientific research and clarify the basic concepts and categories associated with the formation and development of the phenomenon of humanitarian diplomacy. In the process of preparing the article, such general scientific methods of cognition as analysis, synthesis, deduction, induction, comparison, analogy, abstraction and generalization were used. A comprehensive and systematic study of the topic of the article is missing in the science of international relations. The article concludes on the relevance of the IFRC's activities for the development of humanitarian diplomacy and gives recommendations for strengthening its role in the future. The author proposes strategic directions to improve the IFRC's engagement with various actors in the international arena and to coordinate humanitarian efforts better globally.

Propagation of mycorrhiza as biological fertilizer and its application on patchouli seedling in Andisols Bener Meriah

Mycorrhiza, functioning as a biofertilizer, have the capacity to improve soil fertility, including Andisols which is cultivated by patchouli. This research objective to produce mycorrhizal as a biofertilizer to increase the growth of patchouli. Additionally, the effect of mycorrhizal types on the seedlings of patchouli in Andisols was studied. Propagation mycorrhizae carried out the exploration of mycorrhizae on Andisols Bener Meriah, and the carrier was Glomus mosseae, Gigaspora, and a mixture of Glomus mosseae and Gigaspora sp. and then the mycorrhizal biofertilizer was tested to patchouli seedling. The parameters observed in this study included the colonization of patchouli root, initial soil analysis, and patchouli seedling growth. The output in this study is a product in the form of a local specific strain of Bener Meriah biofertilizer. The results obtained have succeeded in the propagation mycorrhizal biofertilizers with the carrier Glomus mosseae, Gigaspora, and a mixture of Glomus mosseae and Gigaspora sp. The highest 90% mycorrhizal colonization was found in the mixed mycorrhizal carrier Glomus mosseae + Gigaspora sp. The growth of patchouli seedlings increased, and the highest patchouli growth was observed the combination of mycorrhizal Glomus mosseae and Gigaspora sp. application

Alcohol consumption's effects on working memory: Examining familial confounding.

The purpose of our study was to provide a more rigorous test of the causal hypothesis that chronic alcohol use impairs working memory performance. We measured linear associations between a latent factor representing alcohol consumption and accuracy across four working memory tasks before and after accounting for familial confounding using a cotwin control design. Specifically, this study examined accuracy through a latent working memory score, the National Institutes of Health (NIH) Toolbox List Sorting, NIH Toolbox Picture Sequence, Penn Word Memory, and 2-back tasks. The study included data from 158 dizygotic and 278 monozygotic twins (Mage = 29 ± 3 years). In our initial sample-wide analysis, we did not detect any statistically significant associations between alcohol use and working memory accuracy. However, our cotwin control analyses showed that twins with greater levels of alcohol use exhibited worse scores on the latent working memory composite measure (B = -.25, CI [-.43, -.08], p < .01), Picture Sequence (B = -.31, CI [-.55, -.08], p < .01), and List Sorting (B = -.28, CI [-.51, -.06 ], p = .01) tasks than did their cotwins. These results are consistent with a potentially causal relationship between alcohol use and working memory performance that can be detected only after accounting for confounding familial factors. This highlights the importance of understanding the mechanisms that may underlie negative associations between alcohol use and cognitive performance, as well as the potential factors that influence both alcohol behaviors and cognition. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Abstract A040: Cellular ecosystem of breast tumor microenvironment in Chinese breast cancer patients

Abstract Background: Current evidence has demonstrated the important role of tumor microenvironment (TME) in cancer initiation and progression. However, the dynamic interactions among various cells and their communities in TME remain largely unknown. Recently, EcoTyper, was developed to discover different cell states and their ecosystems in silico using bulk gene expression data. The application of this tool in the Pan-Cancer analysis identified distinct cell states and ecotypes (co-association patterns between cell states) that act as strong classifiers for cancer types and subtypes. In this study, we aimed to discover the TME ecosystems in breast tumors from an East Asian population and associate them with well annotated clinical features and breast cancer (BC) risk factors. Methods: We applied the EcoTyper framework to tumor RNA-Seq data from 242 Hong Kong BC patients to identify carcinoma ecotypes (CEs) and associated them with intrinsic subtype (PAM50), driver gene mutations (based on whole genome/exome sequencing analyses), and well-known BC risk factors. Additionally, we used The Cancer Genome Atlas BC (TCGA-BRCA) data, which was part of the initial EcoTyper Pan-Cancer analysis, as a quality control and comparison dataset. The TCGA patients were predominantly of European ancestry and had similar age distribution (median=58 years) compared to HK patients (median=60 years). The distribution of PAM50 subtype was also similar between the two datasets, with HK having a slightly higher proportion of luminal A (38% vs. 33% in TCGA) and a lower proportion of basal (11% vs. 20% in TCGA). Results: Among all ten ecotypes, the frequency of each CE was very similar between HK and TCGA. In both datasets, the prevalence of these CEs varied by tumor subtype. CE1 and CE6 were enriched in luminal A and rare in basal, while CE9 was rarely found in luminal A but showed high prevalence in HER2-enriched and basal subtypes. CE7 was enriched in luminal B (especially in HK, where among tumors with CE7, 82% of them were luminal B), CE10 was enriched in HER2-enriched (especially in HK, where 41% of tumors with CE10 were HER2-enriched), and CE2 was enriched for basal subtype. CE8 was enriched for luminal A in HK and luminal B in TCGA. The presence of CE2, CE9, or CE10 was associated with higher prevalence of TP53 somatic mutations, particularly in HK. Among the BC risk factors examined, we did not find any statistically significant associations with any CEs, probably due to the small sample size. The work of assessing the associations with the abundance of each cell state and CE is currently ongoing. Conclusions: We replicated cellular ecosystems and their associations with tumor subtypes and driver gene mutations in an East Asian population, demonstrating its generalizability and potential utility in refining BC subtypes. Next, we plan to extend the analysis to paired adjacent normal tissue to further assess the role of these ecosystems in shaping TME heterogeneity and tumor evolution. Citation Format: Hela Koka, Xin Li, Difei Wang, Difei Wang, Kristine Jones, Kristine Jones, Aurelie Vogt, Aurelie Vogt, Bin Zhu, Amy Hutchinson, Amy Hutchinson, Belynda Hicks, Belynda Hicks, Priscilla Ming Yi Lee, Lap Ah Tse, Xiaohong R Yang. Cellular ecosystem of breast tumor microenvironment in Chinese breast cancer patients [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Breast Cancer Research; 2023 Oct 19-22; San Diego, California. Philadelphia (PA): AACR; Cancer Res 2024;84(3 Suppl_1):Abstract nr A040.

Breaking boundaries: Exploring extended pembrolizumab in first-line treatment of renal cell carcinoma with axitinib-pembrolizumab combination.

436 Background: The standard first-line treatment for metastatic renal cancer (mRCC) combines immune checkpoint- (ICI) and tyrosine kinase inhibitors (TKI). While TKI therapy continues until disease progression, ICI treatment is typically stopped after 24 months or 35 cycles, aligning with approval study criteria. However, in real-world practice, the decision to discontinue ICI therapy upon achieving a positive response can be distressing for both patients and healthcare providers; thus ICIs are not stopped. We conducted an initial analysis of prolonged pembrolizumab (Pem) use in axitinib-pembrolizumab (Axi-Pem) combination therapy to evaluate its effects and toxicity. Methods: We retrospectively analyzed data from mRCC patients treated with first-line Axi-Pem in 10 German tertiary care centers between 2019 and 2023. After completing 35 cycles or 24 months of Pem, patients were offered continued ICI therapy if positive response was assessed. We calculated objective response rate (ORR) and progression-free survival (PFS) from the treatment start to achievement of 36 therapy months. Adverse events (irAEs) were reported following CTCAE 5.0 criteria. Results: Out of 72 patients, 27 met strict eligibility criteria from the Keynote-426 study (NCT02853331), with a response at 24 months and continuous Pem therapy. Patients had a median age of 65.7 years (range: 34-84), and IMDC risk was favorable/intermediate/poor in 22.2%/55.5%/18.5%. Median follow-up was 33.2 months (range: 25.3-48.4). At the 36-mos landmark, median PFS was not reached (PFS 64.7%), ORR was 63.6%, with complete response, partial response, and stable disease observed in 9.1%(1)/54.5%(6)/9.1%(1) of cases, respectively. Permanent Pem discontinuation occurred due to progressive disease in two cases and complete response in one case. Another case led to Pem discontinuation due to immune-related toxicity. Conclusions: In our selected real-world patient cohort seeking prolonged ICI therapy, responders who received continuous Pem beyond 24 months achieve sustained efficacy in first-line treatment. Furthermore, the incidence of irAEs does not increase with prolonged exposure to ICI therapy. Additional results beyond the 36-month landmark are urgently needed to further support the clinical necessity and feasibility of ongoing ICI treatment in light of its impact on the overall financial burden of cancer care.

Relugolix versus leuprolide in combination with radiotherapy for localized prostate cancer (REVELUTION trial): An initial analysis of patient treatment preferences and quality of life.

301 Background: Relugolix, an oral gonadotropin releasing hormone (GnRH) antagonist, has superior testosterone suppression and may lower cardiovascular (CV) toxicity compared with more commonly used injectable GnRH agonists, such as leuprolide. The Relugolix Versus Leuprolide Trial (REVELUTION, NCT 05320406) is an ongoing, investigator-initiated, randomized trial comparing radiotherapy (XRT) plus relugolix versus XRT plus leuprolide for men with localized prostate cancer (PCa). Primary endpoint is change in coronary plaque on cardiac computed tomography from baseline to 12 months following treatment. Secondary endpoints include patient-reported outcomes (PRO). Herein, we report patient-specific treatment preferences prior to randomization and acute treatment-associated toxicity. Methods: Men with non-metastatic intact or biochemically recurrent PCa pursuing pelvic XRT (1.8-2.5 Gy per fraction) with ≥ 6 months of androgen deprivation therapy (ADT) were enrolled and randomized 1:1 to leuprolide (IM/SC 45 mg q6mo) or relugolix (PO 360 mg day 1, 120 mg daily thereafter). Prior to randomization, each patient completed an ADT preference questionnaire after reviewing an education brochure describing both drugs’ administration, testosterone kinetics, and common toxicities. PROs were assessed by International Prostate Symptom Score (IPSS) and Expanded Prostate Index Composite (EPIC-CP) at baseline and 3-/6-months after XRT initiation, with higher scores indicating more severe toxicity. Scores were compared using linear mixed-effects models accounting for within-subject correlations. Results: Between 06/2022 and 07/2023, 65 men were randomized (34 leuprolide, 31 relugolix). Median follow-up was 5 months (IQR 4-8). Prior to randomization, 61 (94%) preferred relugolix over leuprolide, due to faster testosterone recovery (n=36, 59%), lower CV risk (n=23, 38%), or oral administration (n=2, 3%); the four patients who preferred leuprolide all had compliance concerns with a daily oral pill. Compared with XRT+leuprolide, XRT+relugolix was associated with less impact on IPSS urinary score (mean difference [MD] -3.68, p=0.04). There was no difference in EPIC-CP incontinence (MD +0.07, p=0.91), bowel (MD +0.39, p=0.44), sexual (MD -0.74, p=0.43), or vitality (MD +0.17, p=0.80). Conclusions: In this trial of men with localized PCa treated with XRT plus ADT, most preferred relugolix over leuprolide. Relugolix, compared with leuprolide, mitigated acute urinary toxicity from XRT, perhaps due to superior castration resulting in greater prostate gland downsizing and less obstructive uropathy. Longer-term follow up is ongoing, and primary CV toxicity endpoint is expected to be complete in 2024. Clinical trial information: NCT05320406 .

Evaluating cognitive behavioral therapy as a solution for postnatal depression in economically disadvantaged regions.

Postnatal depression (PND) impacts numerous women after childbirth, leading to various impairments in their lives. Mental health interventions, such as cognitive behavioral therapy (CBT), need further evaluation in low- and middle-income countries (LMICs) where resources may be scarce. This study aimed to assess the effectiveness of CBT in treating PND in women from LMICs, comparing it to standard care. A systematic review and meta-analysis were conducted following the PRISMA Statement 2020 guidelines. Databases such as PubMed, CINAHL Plus, Cochrane Library, and PsycINFO were searched until September 2022. A modified Delphi process was employed to identify relevant studies. The primary outcome was mean depression scores, measured by the Edinburgh postnatal depression scale at baseline and post-intervention. Out of 487 studies identified, five trials were included, totaling 1056 participants (520 in the intervention group and 536 in the comparator group). At baseline, a minor, insignificant positive effect size was found (Cohen's d = 0.1, 95% CI = - 0.15, 0.35). Post-CBT, the intervention group showed significant improvements in depression scores (Cohen's d = - 1.9, 95% CI = - 3.8, 0). When accounting for the influence of one study, (Ngai et al., Psychother Psychosom 84:294-303, 2015), which held substantial weight in the initial analysis, the effect size was adjusted to d = 0.5, highlighting a lesser but still significant difference. CBT appears to be effective in improving PND symptoms among women in LMICs and may be considered a first-line treatment for at-risk mothers, including those who are displaced. However, the significant impact of one study on the results emphasizes the need for more rigorous research. The study also highlights the challenges and limitations of providing psychotherapies across LMICs, emphasizing the need for culturally adapted and contextually appropriate interventions to ensure successful implementation and sustainability of mental health care for postnatal women in these settings.

Zero-waste initiatives and circular economy in the U.S.: A review: Exploring strategies, outcomes, and challenges in moving towards a more sustainable consumption model

This study presents a comprehensive analysis of zero-waste initiatives and circular economy (CE) models in the United States, aiming to understand their contribution to sustainable consumption. Employing a systematic literature review methodology, the study sourced data from academic journals, government reports, and industry publications, focusing on literature from the year 2015 to 2023. The search strategy involved a combination of keywords related to zero-waste, circular economy, and sustainable consumption in the U.S. context. Inclusion and exclusion criteria were applied to ensure the relevance and quality of the selected literature, which was then subjected to thematic synthesis for data analysis. Key findings indicate that the evolution of zero-waste and CE concepts in the U.S. is driven by increasing environmental awareness, leading to innovative waste reduction strategies and sustainable consumption models. Despite significant environmental, economic, and social benefits, challenges such as institutional barriers, financial constraints, and technological hurdles persist. The study highlights the crucial role of standards, policies, and regulatory frameworks in facilitating the adoption of zero-waste and CE practices. Successful case studies underscore the importance of community involvement and stakeholder engagement. The study recommends that policymakers develop supportive legislative frameworks, businesses integrate sustainable practices into their operations, and communities actively participate in waste reduction efforts. Future research should focus on the long-term impacts of these practices and the role of emerging technologies. The transition to zero-waste and CE models is essential for sustainable development, requiring concerted efforts from all stakeholders.

Paving the Way for Climate Resilience through Sustainable Urbanization: A Comparative Study

This study explores the crucial role of sustainable urbanization in addressing the climate crisis and fostering socio-economic development. Rapid urban population growth presents cities with unprecedented challenges, including ecological degradation, public health issues, and escalating greenhouse gas emissions. Sustainable urbanization emerges as a pivotal strategy to tackle these challenges by advocating for environmentally responsible practices, enhancing urban resilience, and fostering inclusive economic growth. The article conducts a comparative analysis of sustainable urbanization initiatives in diverse cities, with a focus on their approaches to reducing carbon footprints, enhancing disaster resilience, and improving overall quality of life. Examining case studies from Copenhagen, Curitiba, Singapore, Stockholm, and Melbourne, the research highlights innovative strategies in sustainable transport, renewable energy adoption, waste management, and green space integration. These cities serve as exemplars, showcasing successful solutions such as efficient public transportation systems, robust waste recycling programs, promotion of renewable energy, and prioritization of green spaces. The overarching message of this research underscores the critical need for coordinated, cross-sectoral efforts to unlock the full potential of sustainable urbanization. A holistic approach that integrates environmental, social, and economic dimensions is essential for creating urban environments that are resilient, inclusive, and sustainable. This comprehensive strategy not only addresses the climate crisis but also contributes significantly to achieving global sustainability goals.

Educational Comics Based on Creative Problem Solving With the Aid of Kvisoft Flipbook Maker Pro for Elementary School

This research aims to develop and evaluate the effectiveness of using educational comics based on Creative Problem Solving (CPS) with the help of Kvisoft Flipbook Maker Pro as an interactive learning tool for elementary school students. This research adopts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model development approach. Initial analysis was carried out to identify student needs and elementary school characteristics. Then, educational comics were developed by combining the CPS concept and Kvisoft Flipbook Maker Pro technology. Field trials were conducted to evaluate its effectiveness. The innovation of this research lies in the use of a combination of the CPS approach and interactive flipbook technology. This educational comic not only aims to convey information, but also stimulates students' creativity and problem-solving abilities through interactivity. The research results include the development of educational comics that are integrated with Kvisoft Flipbook Maker Pro. Evaluation is carried out through measuring increased student understanding, active involvement in the learning process, and positive responses from teachers and students. This research is expected to contribute to curriculum development literature by integrating creative and technological approaches in learning. In addition, it can provide new insights into the use of flipbook technology in the context of elementary education.

OP07 Consistent IBD treatment approaches across South Asian and White ethnicities despite phenotypic variations: a study of 33,157 patients using the IBD BioResource

Abstract Background The current evidence suggests ethnic distinctions in IBD phenotype, and differences in the provision of treatment have been reported. This multi-centre cohort study utilised the UK IBD BioResource dataset to evaluate phenotypic differences between South Asian (SA) and White (WH) IBD, and to explore if these were associated with differences in treatment. Methods Phenotypic and outcome data were extracted from the IBD BioResource. Chi2 (categorical data) and Mann-Whitney U (continuous data) tests were used. Propensity score matching (PSM) accounted for age at diagnosis, sex, smoking status, disease location and behaviour and perianal disease (CD). Differences in medication use (multivariable logistic regression) and surgical outcomes (Kaplan-Meier and Cox regression analysis) were assessed in propensity-matched (PM) cohorts. Results 33,157 (31,932 WH; 1225 SA) individuals were included (48.1% CD, 45.4% UC, 6.5% IBD-U). UC was the predominant disease subtype in SA (UC, SA 57.3% vs WH 44.9%, p&amp;lt;0.001). SA were younger at diagnosis [CD, SA 24 (IQR 17-36) vs WH 26 (IQR 19-39) years, p&amp;lt;0.001; UC, SA 29 (IQR 22-38) vs WH 35 (25-48) years, p&amp;lt;0.001]. SA CD had less ileal disease (SA 30.3% vs WH 38.4%, padj=0.008), and more perianal involvement (SA 38.5% vs WH 32.3%, p=0.009) than WH. SA CD had less stricturing disease (SA 16.9% vs WH 25.6%, padj&amp;lt;0.001). SA UC were more likely to have extensive disease (SA 41.7% vs WH 34.1%, padj&amp;lt;0.001). Initial analyses in non-PSM cohorts showed that fewer SA CD underwent surgery [SA (n=157,37.4%) vs WH (n=7532,50.4%), p&amp;lt;0.001], and that similar proportions of SA (n=33,5.1%) and WH (n=747,5.5%; p=0.15) UC underwent a colectomy. PSM was used to match 355 SA to 355 WH in CD, and 525 SA to 525 WH in UC. Variables were well-balanced. There were no differences in 5-ASA, corticosteroid, thiopurine, anti-TNF or Vedolizumab use (Table 1). In CD, 126 (36.5%) SA and 152 (44.7%) had surgery. Survival analysis in CD showed no difference in the time to surgery (Fig 1A, log-rank 0.28). SA ethnicity was not associated with increased risk of surgery in CD (HR 0.82, 95% CI 0.63-1.07, p=0.14). In UC, 25 (4.8%) and 37 (7.1%) WH had a colectomy. There was no significant difference in the time to colectomy (Fig 1B, log-rank 0.12) nor was SA ethnicity associated with an increased risk of having a colectomy (HR 0.65, 95% CI 0.39-1.11, p=0.12). Conclusion In the largest analysis of SA IBD to date, we have demonstrated phenotypic differences associated with ethnicity. Accounting for these variations, we have shown comparable provision of medical and surgical treatment in SA and WH. These findings indicate consistent care of IBD patients from different ethnic backgrounds in the UK.

P125 MIG (CXCL9) and IL22 are key biomarkers that discriminates between paediatric IBD patients and non-IBD patients in a novel biomarker model

Abstract Background The current gold standard for diagnosis of Inflammatory bowel disease (IBD) is based on clinical and endoscopic evaluation as well as histologic and radiologic evaluation. However, endoscopic evaluation can be uncomfortable and carry some risks, especially in the paediatric population that requires general anesthesia in order to perform the procedure. Our aim was to investigate whether serum biomarkers can differentiate between paediatric patients with and without IBD. Secondary aims were to determine whether there are biomarkers that can differentiate between Crohn's disease (CD) and Ulcerative colitis (UC), and whether we can predict progression to biologic treatment within one year from diagnosis using these biomarkers. Methods Paediatric patients undergoing a first diagnostic colonoscopy at British Columbia Children's Hospital (BCCH) between December 2019 and June 2022 were invited to participate in the study. A 2 ml blood sample was taken from each participant at the time of colonoscopy. Demographic and clinical data were collected from each patient. Blood samples were analyzed using the LegendplexTM flow cytometry kits investigating 12 different inflammatory cytokines and chemokines associated with IBD. Eleven of them were found most significant in an initial analysis performed on 100 patients using 50 biomarkers, and CCL7 was added due to significance in previous studies. A prediction model was built via a supervised learning method to determine how well we can predict the different groups. Results Two hundred and forty-six paediatric patients participated in the study. Median age was 13.03 years, 92 were females (37.4%) and 155 (63.01%) were diagnosed with IBD, with 103 (66.45%) diagnosed with Crohn's disease. The AUROC using SPLS-DA classification was 0.805. MIG and Il22 were found to be the key biomarkers to discriminate between pediatric IBD patients and non-IBD patients. In a random forest analysis MIG, Il8 and Il22 were found most important for discrimination. On a univariate analysis MIG and Il18 were found statistically significant as a predictor of CD (p=0.016 for both). CXCL1 was predictive to progression to biologic treatment within one year of diagnosis (p=0.039). However, the prediction model did not predict well the subclasses nor progression to biologic treatment. Conclusion Using serum biomarkers can predict the diagnosis of Paediatric IBD. MIG and Il22 were found to be the key biomarkers in the prediction model.

Genetic Diversity within a Collection of Italian Maize Inbred Lines: A Resource for Maize Genomics and Breeding

Genetic diversity is fundamental for studying the complex architecture of the traits of agronomic importance, controlled by major and minor loci. Moreover, well-characterized germplasm collections are essential tools for dissecting and analyzing genetic and phenotypic diversity in crops. A panel of 360 entries, a subset of a larger collection maintained within the GenBank at CREA Bergamo, which includes the inbreds derived from traditional Italian maize open-pollinated (OP) varieties and advanced breeding ones (Elite Inbreds), was analyzed to identify SNP markers using the tGBS® genotyping-by-sequencing technology. A total of 797,368 SNPs were found during the initial analysis. Imputation and filtering processes were carried out based on the percentage of missing data, redundant markers, and rarest allele frequencies, resulting in a final dataset of 15,872 SNP markers for which a physical map position was identified. Using this dataset, the inbred panel was characterized for linkage disequilibrium (LD), genetic diversity, population structure, and genetic relationships. LD decay at a genome-wide level indicates that the collection is a suitable resource for association mapping. Population structure analyses, which were carried out with different clustering methods, showed stable grouping statistics for four groups, broadly corresponding to ‘Insubria’, ‘Microsperma’, and ‘Scagliolino’ genotypes, with a fourth group composed prevalently of elite accessions derived from Italian and US breeding programs. Based on these results, the CREA Italian maize collection, genetically characterized in this study, can be considered an important tool for the mapping and characterization of useful traits and associated loci/alleles, to be used in maize breeding programs.

A study of rotary cutting machine (RCM) performance on Korean granite

PurposeDespite the many advantages this type of equipment offers, there are still some major drawbacks. Linear cutting machine (LCM) cannot accurately simulate the true rock-cutting process as 1. it does not account for the circular path along which tunnel boring machine (TBM) disk cutters cut the tunnel face, 2. it does not accurately model the position of a disk cutter on the cutterhead, 3. it cannot perfectly replicate the rotational speed of a TBM. To enhance the knowledge of these issues and in order to mimic the real rock-cutting process, a new lab testing equipment was developed by Hyundai Engineering and Construction.Design/methodology/approachA new testing machine called rotary cutting machine (RCM) is designed to simulate the excavation process of hard-rock TBMs and includes features such as TBM cutterhead, RPM simulation, constant normal force mode and constant penetration rate mode. Two sets of tests were conducted on Hwandeung granite using different disk cutter sizes to analyze the cutting forces in various excavation modes. The results are analyzed using statistical analysis and dimensional analysis. A new model is generated using dimensional analysis, and its results are compared against the results of actual cases.FindingsThe effectiveness of the new RCM test was demonstrated in its ability to apply various modes of excavation. Initial analysis of chip size revealed that the thickness of the chips is largely dependent on the cutter spacing. Tests with varying RPM showed that an increase in RPM results in an increase in the normal force and rolling force. The cutting coefficient (CC) demonstrated a linear correlation with penetration. The optimal specific energy is achieved at an S/p ratio of around 15. However, a slightly lower S/p ratio can also be used in the design if the cutter specifications permit. A dimensional analysis was utilized to develop a new RCM model based on the results from approximately 1200 tests. The model's applicability was demonstrated through a comparison of TBM penetration data from 26 tunnel projects globally. Results indicated that the predicted penetration rates by the RCM test model were in good agreement with actual rates for the majority of cases. However, further investigation is necessary for softer rock types, which will be conducted in the future using concrete blocks.Originality/valueThe originality of the research lies in the development of Hyundai Engineering and Construction’s advanced full-scale laboratory rotary cutting machine (RCM), which accurately replicates the excavation process of hard-rock tunnel boring machines (TBMs). The study provides valuable insights into cutting forces, chip size, specific energy, RPM and excavation modes, enhancing understanding and decision-making in hard-rock excavation processes. The research also presents a new RCM model validated against TBM penetration data, demonstrating its practical applicability and predictive accuracy.

MiR-383 sensitizes osteosarcoma cells to bortezomib treatment via down-regulating PSMB5.

Proteasome inhibition is a promising strategy for cancer therapy. Bortezomib, which primarily targets the chymotrypsin-like activity of PSMB5, has demonstrated efficacy in various tumors. However, there is variable sensitivity to bortezomib, which could be attributed, in part, to variations in the expression of proteasome subunits. In this study, we investigated whether miR-383 affects the expression of proteasome subunits in osteosarcoma (OS) cells, and if so, whether OS cells display differential sensitivity to bortezomib concerning miR-383 expression. We detected a decreased miR-383 expression in OS cells and tissues. Then we found a negative correlation between the cytotoxicity of bortezomib and the expression level of the proteasome 20S core particle subunit β5 (PSMB5). Intriguingly, we identified PSMB5 as a direct target of miR-383. Increased expression of miR-383 resulted in decreased PSMB5 expression and increased sensitivity to bortezomib in OS cells. In summary, our findings present the initial comprehensive analysis of the function of miR-383 in OS. The outcomes indicate that miR-383 may augment the anticancer effect of bortezomib through PSMB5 repression, offering a novel therapeutic approach in OS and a fresh pathway for proteasome regulation.