Independent Studies Research Articles

(261) Asian Men’s Health Report 2

Abstract Introduction The Asian Men’s Health Report 2 is a follow up to the first Asian Men’s Health Report in 2013 with updated data and new aspects delved into. Objective To report on the state of men’s health in Asia Methods Key databases that contained information on the health status of men from Asian countries were used. When limited data were available, findings from independent studies were sought to supplement the data. Results A general trend towards a more aging Asian population can be seen from the population pyramid for Asia in 1950, 2015 and 2050. Men have a lower life expectancy at birth than women in all Asian countries. Men have lower healthy life expectancy compared to women in all Asian countries except Kuwait and Qatar. Ischemic heart disease, stroke and chronic obstructive pulmonary disease are the top three causes of death and DALY among both Asian men and women. More women die due to communicable diseases compared to men. Death due to road traffic injuries are more common in men than women Conclusions There are rooms for improvement for men’s health in Asia. Health care practitioners and policy makers should take up the lead. Disclosure No.

Institutional pressure and analyst behavior: Evidence from the financial sector

AbstractThis study examines the impact of employment background on the objectivity of profitability forecasts in the financial sector. We find that investment bank analysts provide relatively biased recommendations and less accurate forecasts than their counterparts at independent research firms (IRFs). The performance discrepancy is greater for bulge bracket banks and for firms involved in syndication with the analysts' employers. A closer look at analysts transitioning between IRFs and investment banks reveals that these biases stem from their affiliation with investment banks rather than personal bias. Our findings emphasize the critical influence of the work environment on analyst behavior.

Abstract B039: Identification of sex-specific molecular features in glioma transcriptome

Abstract Glioma is a lethal disease with limited treatment options available. Sex differences in glioma are well-documented in clinical settings, with males having twice the risk of developing the disease and increased mortality compared to female counterparts. To investigate the molecular basis of sex differences in glioma, we analyzed transcriptomic sex differences in a collection of three independent glioma datasets and validated them in additional independent studies. The impact of differentially expressed genes were assessed through Gene Set Enrichment Analysis (GSEA) on approximately 5000 gene sets to interpret their biological relevance. Given the well-recognized heterogeneity of glioma, we also integrated three single-cell RNA (scRNA) sequencing datasets to decipher the sex differences in cellular composition and cell-type specific differential gene expression between male and female tumors. The effects of sex on gene expression are modest and primarily driven by the X chromosome (14 out of 16 differentially expressed genes were on the X chromosome). These genes are associated with escape from X-chromosome inactivation (e.g., KDM5C, KDM6A) and are also sex-differentially expressed (DE) in the healthy human brain according to Genotype-Tissue Expression (GTEx) data. GSEA results suggest increased activity in cell proliferation and neuronal signaling in male GBM samples, whereas females show enrichment in glycoprotein/lipid metabolism. By deconvoluting the cell-type composition, we identified a higher percentage of pericytes in the male glioma tumor microenvironment compared to those in females, which is consistent with recent spatial-omic discoveries in glioma. By integrating scRNA sequencing data, we found that both differentially expressed genes and pathways show cell-type-specific enrichment. For example, the female-biased gene GBGT1 is exclusively expressed in the myeloid lineage, while male-biased neuronal pathways are enriched in cancer stem cells. Integrating with the inference of cell trajectories, we observed that male tumors harbor more unconnected, invasive malignant cells than females, which might explain the poor prognosis in male glioma patients. In summary, our results provide a comprehensive multi-level characterization of sex differences in glioma tumors, and these findings will provide novel insights into glioma disease progression and development of new therapy. Citation Format: Yingbo Huang, Yuting Shan, Weijie Zhang, Christina Printzis, Lorenzo Pesce, Barbara Elaine Stranger, R. Stephanie Huang. Identification of sex-specific molecular features in glioma transcriptome [abstract]. In: Proceedings of the AACR Special Conference on Brain Cancer; 2023 Oct 19-22; Minneapolis, Minnesota. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_1):Abstract nr B039.

Sex-specific and polygenic effects underlying resting heart rate and associated risk of cardiovascular disease.

Resting heart rate (RHR) is associated with cardiovascular disease (CVD) and mortality. This study aimed to identify genetic loci associated with RHR, develop a genome-wide polygenic risk score (PRS) for RHR, and assess associations between the RHR PRS and CVD outcomes, to better understand the biological mechanisms linking RHR to disease. Sex-specific analyses were conducted to potentially elucidate different pathways between the sexes. We performed a genome-wide meta-analysis of RHR (n = 550 467) using two independent study populations, The Trøndelag Health Study (HUNT) and the UK Biobank (UKB), comprising 69 155 and 481 312 participants, respectively. We also developed a genome-wide PRS for RHR using UKB and tested for association between the PRS and 13 disease outcomes in HUNT. We identified 403, 253, and 167 independent single nucleotide polymorphisms (SNPs) significantly associated with RHR in the total population, women, and men, respectively. The sex-specified analyses indicated differences in the genetic contribution to RHR and revealed loci significantly associated with RHR in only one of the sexes. The SNPs were mapped to genes enriched in heart tissue and cardiac conduction pathways, as well as disease-pathways, including dilated cardiomyopathy. The PRS for RHR was associated with increased risk of hypertension and dilated cardiomyopathy, and decreased risk of atrial fibrillation. Our findings provide insight into the pleiotropic effects of the RHR variants, contributing towards an improved understanding of mechanisms linking RHR and disease. In addition, the sex-specific results might contribute to a more refined understanding of RHR as a risk factor for the different diseases.

When mass meets prestige: The impact of symbolic motivations, inspirations, and purchase intentions for Masstige products

Luxury brands are increasingly targeting the middle class through ‘masstige marketing’ as the trendy business opportunity,' which combines luxury and mass appeal. This strategy aims to make high-end brands more accessible to a wider audience, catering to the desires and preferences of the middle class. Grounded in the Mass Prestige (Masstige) theory, this study examines the direct and indirect impact of Symbolic motivations (snob, Veblen, and bandwagon) on Masstige Purchase Intention (MPI) via Inspiration Towards Masstige (ITM) as a mediator. Moreover, the contingent impact of Brand Credibility (BC) between ITM and MPI was assessed. Two independent studies were conducted among consumers of clothing and car brands. Results supported all the hypothesized paths reflecting symbolic motivations as important predictors of MPI directly and through the underlying mechanism of ITM. However, significant differences were observed in the impact size of the Veblen and bandwagon motivations on ITM and MPI among clothing and car brand consumers. Moreover, results revealed that BC significantly interacts with ITM to augment the MPI in both studies. However, this contingent impact was stronger to enhance MPI among the consumers of car brands than clothing brands. Furthermore, study implications and future research directions are presented in detail.

Finite control set model predictive control of three-port converter for interfacing a PV–battery energy storage system to a three-phase stand-alone AC system

Abstract This paper proposes a multiport bidirectional non-isolated converter topology that provides advantages in terms of simultaneous multiple operations, single-stage conversion, high power density and reduced power losses due to the lower number of switches. The proposed multiport converter uses a centralized non-linear controller known as a finite control set model predictive controller to manage the flow of power between different ports. It deals with the parallel operation of photovoltaic and battery energy storage systems for stand-alone alternating current (AC) systems. The converter connects the lower voltage battery to the photovoltaic port using a bidirectional buck/boost converter and the photovoltaic port is linked to the stand-alone AC load through a three-phase full-bridge inverter. Each leg of the three-phase converter will act as a bidirectional direct current (DC)/DC converter as well as an inverter simultaneously. Only six switches manage the power transfer between all the connected ports of photovoltaic–battery energy storage system linked to the stand-alone AC load. The proposed multiport converter is mathematically modelled and controlled by a finite control set model predictive controller. The system is validated in simulation (1-kW rating) and experimental environment (200-W rating). The hardware prototype is developed in the laboratory and the controller is implemented on the field-programmable gate array board. Two independent case studies are carried out to validate the efficacy of the system. The first scenario is for a change in solar irradiance, while the second scenario is for a change in the output load.

Knowledge and practices regarding leishmaniasis in Portugal – Comparison between blood donors and health students/professionals

ObjectiveTo compare the current knowledge and practices regarding leishmaniasis among blood donors and health students and professionals, in Portugal. Material and methodsData were collected through the application of two questionnaires (one online and one in paper) with similar questions in two distinct cross-sectional independent studies, each targeting one of the groups. Descriptive statistics and hypothesis testing were performed using IBM® SPSS® Statistics. ResultsIn total, 3763 blood donors, 254 students and 232 professionals were included in the comparative analysis. Over 95% of students and professionals, but only around 70% of blood donors had previously heard of leishmaniasis. Over 90% of participants in each group admitted leishmaniasis affected animals, but only in the professional group over 90% were aware of human leishmaniasis. ConclusionsEven though canine leishmaniasis is recognized by many blood donors and by most students and professionals, awareness of the disease in humans is less common, highlighting the importance of promoting an approach to this infection through a One Health lens.

Using reference equations to standardise incremental shuttle walk test performance in children and young people with chronic conditions and facilitate the evaluation of exercise capacity and disease severity

AimsThe aim was to evaluate whether standardised exercise performance during the incremental shuttle walk test (ISWT) can be used to assess disease severity in children and young people (CYP) with...

Medicine utilization studies in Australian individual-level dispensing data: A blinded, multi-center replicated analysis.

Medicine dispensing data require extensive preparation when used for research and decisions during this process may lead to results that do not replicate between independent studies. We conducted an experiment to examine the impact of these decisions on results of a study measuring discontinuation, intensification, and switching in a cohort of patients initiating metformin. Four Australian sites independently developed a HARmonized Protocol template to Enhance Reproducibility (HARPER) protocol and executed their analyses using the Australian Pharmaceutical Benefits Scheme 10% sample dataset. Each site calculated cohort size and demographics and measured treatment events including discontinuation, switch to another diabetes medicine, and intensification (addition of another diabetes medicine). Time to event and hazard ratios for associations between cohort characteristics and each event were also calculated. Concordance was assessed by measuring deviations from the calculated median of each value across the sites. Good agreement was found across sites for the number of initiators (median: 53 127, range: 51 848-55 273), gender (56.9% female, range: 56.8%-57.1%) and age group. Each site employed different methods for estimating days supply and used different operational definitions for the treatment events. Consequently, poor agreement was found for incidence of discontinuation (median 55%, range: 34%-67%), switching (median 3.5%, range: 1%-7%), intensification (median 8%, range: 5%-12%), time to event estimates and hazard ratios. Differences in analytical decisions when deriving exposure from dispensing data affect replicability. Detailed analytical protocols, such as HARPER, are critical for transparency of operational definitions and interpretations of key study parameters.

Interprofessional education interventions in undergraduate students of musculoskeletal healthcare professions: a scoping review protocol

IntroductionEnhancing interprofessional education (IPE) fosters collaborative efforts among healthcare professionals specializing in musculoskeletal (MSK) care. This approach presents a valuable opportunity to address the pressing MSK disease burden in developing...

Increasing Equitable Access to Home Visiting: An Independent Implementation Study of Family Connects

Increasing Equitable Access to Home Visiting: An Independent Implementation Study of Family Connects

Integrating Cardiovascular Engineering and Biofluid Mechanics in High School Science, Technology, Engineering, and Mathematics Education: An Experiential Approach.

Science, technology, engineering, and mathematics (STEM) education workshops and programs play a key role in promoting early exposure to scientific applications and questions. Such early engagement leads to growing not only passion and interest in science, but it also leads to skill development through hands-on learning and critical thinking activities. Integrating physiology and engineering together is necessary especially to promote health technology awareness and introduce the young generation to areas where innovation is needed and where there is no separation between health-related matters and engineering methods and applications. To achieve this, we created a workshop aimed at K-12 (grades 9-11) students as part of the Summer Youth Programs at Michigan Technological University. The aim of this workshop was to expose students to how engineering concepts and methods translate into health- and medicine-related applications and cases. The program consisted of a total of 15 h and was divided into three sections over a period of 2 weeks. It involved a combination of theoretical and hands-on guided activities that we developed. At the end of the workshop, the students were provided a lesson or activity-specific assessment sheet and a whole workshop-specific assessment sheet to complete. They rated the programs along a 1-5 Likert scale and provided comments and feedback on what can be improved in the future. Students rated hands-on activities the highest in comparison with case studies and individual independent research. Conclusively, this STEM summer-youth program was a successful experience with many opportunities that will contribute to the continued improvement of the workshop in the future.

Reply to “Comment on Comparison of direct and indirect measures of transport efficiency in single particle inductively coupled plasma mass spectrometry” by H. Goenaga-Infante

This paper provides a rebuttal to the comments on our original research article entitled “Comparison of Direct and Indirect Measures of Transport Efficiency in Single Particle ICP-MS” recently published by Goenaga-Infante in Spectrochimica Acta Part B: Atomic Spectroscopy.The intent of our study is not to condemn the dynamic mass flow (DMF) method but rather to explore the use parameters under which it can and cannot be applied. As explained in the original paper, the goal of this study is to evaluate the ranges of use conditions under which measures of transport efficiency (TE) yield accurate and reproducible results for spICP-MS measurements of particle number concentration (PNC) and particle size (diameter, PS) of various gold nanoparticle (AuNP) suspensions. The evaluation was performed through a systematic comparison of three methods for the measurement of TE: the particle frequency (TEF), particle size (TES), and DMF methods using three types of spray chambers operated at cooled and ambient temperature conditions and employing different ICP-MS platforms. While we appreciate thorough critical and constructive comments on our paper, we strongly disagree that the conclusions and highlights are not supported by the content and findings about the features and benefits of the DMF method.The discussion of three additional independent studies in this field by other spICP-MS expert groups that have been published after the submission of our manuscript is included in this paper. While the DMF approach has been used in two interlaboratory comparisons for TE determination in spICP-MS measurements of PNC, only one laboratory, namely the laboratory led by Goenaga-Infante, provided results using the DMF method in both projects. A method cannot be considered validated if successful results have only been demonstrated within one laboratory.The paper by Goenaga-Infante claims that the main use of DMF, the assignment of a SI traceable PNC value to new commercial nanomaterials (NMs), has not been highlighted explicitly in our original paper. The advantages and disadvantages of the DMF, TES, and TEF methods to measure TE were presented throughout the manuscript and are clearly summarized in the conclusion. The assignment of PNC that is metrologically traceable to the SI implies that all known or suspected uncertainty components including bias are taken into account. Our research shows that under some use conditions, the biases inherent to the DMF method are not yet fully understood and cannot be accounted for. While Cuello-Nuñez et al. Journal of Analytical Atomic Spectrometry, 2020, DOI: https://doi.org/10.1039/c9ja00415g state that cooled conditions (2 °C) were used in their work, they do not define the level of bias that can be expected if different spray chamber temperatures are used, and they do not provide recommendations on the optimal use conditions that define the field of applicability of the DMF method. Furthermore, besides the use of a Scott-type spray chamber cooled to 2 °C, neither the composition material of the spray chamber nor the volume of the Scott-type spray chamber were specified. It is important to note that in our original research, fifteen of the nineteen experiments were conducted using a cooled spray chamber. Also, the four different ICP-MS platforms were used in the standard configuration and with additional spray chamber options encountered in common ICP-MS usage. The value of our work is that it extends the study of Cuello-Nuñez et al. to a wide variety of use conditions routinely encountered in spICP-MS analysis.

Finite element simulations of double diffusion in a staggered cavity filled with a power-law fluid

Double diffusion refers to a phenomenon where two different components of a fluid (such as heat and mass) exhibit distinct diffusive behaviors. In this study, we employ finite element-based numerical simulations to investigate the phenomenon of double diffusion in a non-Newtonian fluid within a staggered cavity. Mathematically, this system can be understood by coupling the two-dimensional continuity, momentum, energy, and concentration equations. Since the governing equations have been written in a dimensionless form, Galerkin's finite element method is used to find a solution. The velocity profile and temperature are calculated in a function space of quadratic polynomials (P2), while the pressure is calculated in a linear (P1) finite element function space. Discrete systems of nonlinear algebraic equations are resolved through the implementation of Newton's method with appropriate damping and PARDISO solver in the inner loops for solving the sparse linear systems. In this work, the data are presented graphically in the form of streamlines, isotherms, iso-concentration, average Nusselt numbers, average Sherwood numbers, and kinetic energy distribution. Code validation and grid independence study are also provided. Moreover, convective mass transfer is significantly correlated with the Lewis number, as demonstrated by the results. As the power-law index increases, convection also exhibits enhanced as a means of transmitting heat and mass.

Abstract A023: Assessing the reproducibility crisis in vaginal microbiome studies for clinical applications in endometrial cancer

Abstract Recent associations between vaginal microbiota and gynecological cancer have led to high-throughput sequencing datasets identifying diagnostic biomarkers for Endometrial Cancer (EC). However, lack of bioinformatics standards results in inconsistent independent studies with poor reproducibility, making them clinically inapplicable. This study leverages publicly available amplicon sequence data to address the reproducibility of EC microbiome studies. We implemented bioinformatics pipelines from five studies to reproduce and measure the replicability of published results across cohorts using metrics such as alpha diversity, beta diversity and differentially expressed taxa. We further evaluated separability between benign and cancer patients at different taxonomic levels (phylum, class, order, family, and genus) within and across datasets using boosted tree classifiers and Area Under the Curve (AUC) as the performance metric. While we reproduced the general trend of observing higher microbial diversity in EC compared to healthy controls, we found irregularities in two cohorts. Using beta diversity distance metrics, we identified that histology alone explains less than 3% of the variance in all cohorts. Three microbiome differential abundance methods were used in the five studies. While they all agree on a decrease in the Lactobacillus genus in EC patients, there is no consensus on other taxa associated with EC. We also found that separability between benign and cancerous conditions is highest at the class level, having an AUC score of 0.86. In subsequent steps, we will perform an integrative analysis to identify an EC vaginal microbiome predictive signature that is preserved across all five cohorts, benefiting screening programs. Citation Format: Dollina D. Dodani, Aline Talhouk. Assessing the reproducibility crisis in vaginal microbiome studies for clinical applications in endometrial cancer [abstract]. In: Proceedings of the AACR Special Conference on Endometrial Cancer: Transforming Care through Science; 2023 Nov 16-18; Boston, Massachusetts. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(5_Suppl):Abstract nr A023.

Cover crops affect pool specific soil organic carbon in cropland – A meta‐analysis

AbstractCover crops (CC) offer numerous benefits to agroecosystems, particularly in the realm of soil organic carbon (SOC) accrual and loss mitigation. However, uncertainties persist regarding the extent to which CCs, in co‐occurrence with environmental factors, influence SOC responses and associated C pools. We therefore performed a weighted meta‐analysis on the effects of CCs on the mineral‐associated organic carbon (MAOC), the particulate organic carbon (POC) and the microbial biomass carbon (MBC) pool compared to no CC cultivation in arable cropland. Our study summarized global research of comparable management, with a focus on climatic zones representative of Europe, such as arid, temperate and boreal climates. In this meta‐analysis, we included 71 independent studies from 61 articles published between 1990 and June 2023 in several scientific and grey literature databases. Sensitivity analysis was conducted and did not identify any significant publication bias. The results revealed that CCs had an overall statistically significant positive effect on SOC pools, increasing MAOC by 4.8% (95% CI: 0.6%–9.4%, n = 16), POC by 23.2% (95% CI: 13.9%–34.4%, n = 39) and MBC by 20.2% (95% CI: 11.7%–30.7%, n = 30) in the top soil, compared to no CC cultivation. Thereby, CCs feed into the stable as well as the more labile C pools. The effect of CCs on MAOC was dependent on soil clay content and initial SOC concentration, whereas POC was influenced by moderators such as CC peak biomass and experiment duration. For MBC, for example, clay content, crop rotation duration and tillage depth were identified as important drivers. Based on our results on the effects of CCs on SOC pools and significant moderators, we identified several research needs. A pressing need for additional experiments exploring the effects of CCs on SOC pools was found, with a particular focus on MAOC and POC. Further, we emphasize the necessity for conducting European studies spanning the north–south gradient. In conclusion, our results show that CC cultivation is a key strategy to promote C accrual in different SOC pools. Additionally, this meta‐analysis provides new insights into the state of knowledge regarding SOC pool changes influenced by CCs, offering quantitative summary results and shedding light on the sources of heterogeneity affecting these findings.

Industrial agglomeration, international R&D capital and air pollution-based on provincial spatial panel data

Introduction: This paper presents a spatial effect model to examine the impact of industrial agglomeration and international R&D capital technology spillover on air pollution.Methods: The study utilizes spatial panel data from 30 provinces and cities in China spanning the period 2008 to 2022, allowing for the decomposition of both direct and indirect spillover effects.Results: Additionally, the research investigates the threshold effect of industrial agglomeration and international research and development capital and technology spillover on air pollution, considering independent research and development as the threshold variable. The findings reveal evident spatial autocorrelation and spatial dependence between industrial agglomeration, international R&D capital, and air pollution. Importantly, both international R&D capital technology spillover and industrial agglomeration exhibit a single threshold effect. This implies that surpassing the threshold value leads to a more pronounced positive impact of international R&D capital technology spillover on reducing air pollution, while the impact of industrial agglomeration on air pollution tends to be positive.Discussion: The findings of this study have significant theoretical and practical implications for the promotion of sustainable economic development, particularly in China.

The impact of the U.S. Inflation reduction act on the restructuring of the Asia-Pacific energy industry Chain and China’s response strategies

ABSTRACT The development of the energy industry holds a crucial position in the industrial layout of countries worldwide. The Inflation Reduction Act intends to exclude China and other Asian countries from the clean energy industry supply chain, which will have a significant impact on the Asia-Pacific energy industry chain layout. This paper constructs a GTAP-GVC model to simulate and analyze the impact of the act on the layout of the PV and EV industry chains in the Asia Pacific region through GVC participation, location, and industry chain elasticity. The study finds that the implementation of the act will drive the ascent of the international division of labor in the U.S. clean energy industry, while worsening the trade environment for other Asia-Pacific countries. Canada, Mexico, and other ‘allies’ of the U. S. cannot benefit from the subsidy conditions of the act. China should strengthen the development of its domestic clean energy industry, enhance its independent research and development capabilities, and promote industrial technological upgrades to cope with the impact of the act.

Neutrophil CD64 index as a new early predictive biomarker for infected pancreatic necrosis in acute pancreatitis

ObjectiveInfectious pancreatic necrosis (IPN) is a serious complication of acute pancreatitis, and early recognition and timely intervention are the keys to improving clinical outcomes. The purpose of this study was to investigate the predictive capacity of the neutrophil CD64 index (nCD64 index) on IPN in patients with acute pancreatitisMethodsThis study comprises two independent cohorts: the training cohort consisted of 202 patients from Hunan Provincial People's Hospital, and the validation cohort consisted of 100 patients from Changsha Central Hospital. Peripheral blood samples were collected on the day of admission and on the 3rd, 5th, 7th, and 10th days of hospitalization, and the nCD64 index was detected by flow cytometry. Additionally, relevant clinical characteristics and laboratory biomarkers were collected and analyzed.ResultsWe observed that nCD64 index on admission was significantly higher in the IPN group than Non-IPN group (p < 0.001). In the training cohort, a higher occurrence rate of IPN was observed in the high nCD64 index group compared to the moderate and low nCD64 index group (p < 0.001). Further analysis showed that nCD64 index was significant positive correlated with the incidence rate of IPN (p < 0.001, correlation coefficient = 0.972). Furthermore, logistic regression analysis showed that high expression of the nCD64 index on admission was a risk factor for the occurrence of IPN (OR = 2.971, p = 0.038). We further found that the nCD64 index of IPN patients was significantly higher than the Non-IPN patients on the days 1, 3, and 5 after admission, and the nCD64 index of IPN patients before and after the onset (p < 0.05). At the same time, this study revealed that the nCD64 index on admission showed good predictive efficacy for IPN (AUC = 0.859, sensitivity = 80.8%, specificity = 87.5%), which was comparable to APACHE II score. And this finding was further validated in an independent cohort of 100 participants (AUC = 0.919, Sensitivity = 100.0%, Specificity = 76.6%).ConclusionThis study demonstrated the clinical value of nCD64 index in patients with IPN patients for the first time through two independent cohort studies. The nCD64 index can be used as an early prediction and risk assessment tool for the occurrence of IPN, contributing to the improvement of patient outcomes and efficiency of medical resource allocation.

Undergraduate Research Learning in the Liberal Arts: A Case Study of Transformative Student-Faculty Collaborations

Undergraduate Research Learning in the Liberal Arts: A Case Study of Transformative Student-Faculty Collaborations