bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating the Path to Inclusion: Understanding Barriers and Facilitators to Clinical Trial Participation Among Chinese Older Adults in the United States with Multimorbidity
Authors: Tarn Derjung M. , Liu Ruey-Ying , Pun Ting , Schwartz Janice B. 
Published: November 2024

Abstract

Context
Older adults with multimorbidity are underrepresented in clinical trials, with enrollment of Asians particularly low.

Objective
Understand perspectives of US Chinese older adults regarding clinical trial participation.

Study Design and Analysis
Focus group interviews analyzed using thematic analysis.

Setting
Community/senior centers, academic health systems in Northern and Southern California, and a nationwide registry of Asian Americans/Pacific Islanders.

Population Studied
Mandarin- and English-speaking Chinese adults aged ≥ 65 years with multimorbidity.

Outcome Measures
Themes related to barriers and facilitators of enrollment in clinical trials of medications.

Results
We conducted 12 focus groups: 7 with non-US-born and 5 with US-born Chinese older adults (n = 83 total). Mean age was 74 years (SD = 5.9), 43 (51.8%) were female, and 47 (56.6%) Mandarin-speaking. US-born participants had greater educational attainment than non-US-born participants. Participants took a mean of 6.1 prescriptions (SD = 1.5). Barriers to participation in clinical trials of medications included lack of awareness of/exposure for patients and community-based Chinese physicians, preference for natural/traditional medicine, risk aversion and safety concerns, desire for privacy, and inconvenience. Trusted influences included physicians, hospitals/health systems, Asian/Chinese community centers, and family (for non-US-born participants). Suggestions to enhance participation included using language and culturally concordant materials/personnel, educating community-based Chinese physicians about clinical trials, involving patient-trusted physicians in recruitment, promoting trials on conditions common in Chinese people or for an existing condition, and financial incentives. US-born participants expressed greater understanding and willingness to join trials. All groups attributed low clinical trial enrollment to non-US-born Chinese adults.

Conclusions
Chinese older adults perceived obstacles to clinical trial participation that could be mitigated by involving trusted physicians in recruitment, using language and culturally concordant materials/staff, and educating patients and community-based physicians. Recognition of differences in attitudes among US- and non-US-born Chinese people may be important to tailoring recruitment strategies.
Revisiting the Extension of SGTE Heat Capacity Data to Zero Kelvin: Combining Classical Fit Polynomials with Debye–Einstein Functions
Authors: Gamsjäger Ernst , Wiessner Manfred 
Published: November 2024

AbstractIt is demonstrated in this work that a four parameter Debye–Einstein integral is an excellent fitting function for heat capacity values of pure elements from zero Kelvin to room temperature provided that there are no phase transformations in this temperature range. The standard errors of the four parameters of the Debye–Einstein approach are provided. As examples the temperature dependent molar heat capacities of Fe, Al, Ag and Au are calculated in the temperature range from 0 to 300 K. Standard molar entropies, enthalpies and values of a molar Gibbs energy related function are derived from the molar heat capacities and the values are compared to literature data. The next goal focuses on a seamless transition of these low temperature heat capacities to SGTE (Scientific Group Thermodata Europe) unary data. This can be achieved by penalyzing deviations in the heat capacity values and in their temperature derivatives at the transition point. Whereas the constrained heat capacities of Fe and Al mimic the experimental data, the calculated values deviate considerably in case of Ag and Au. As an alternative a smooth transition in the heat capacities and the temperature derivative is achieved by a switch function employed close to the transition region.
Unravelling the distribution of mycorrhizal plants in the Colombian páramos
Authors: Diaz Maria Daniela , Leon Daniela , Peyre Gwendolyn 
Published: November 2024

AbstractThe tropicalpine páramo stands out as a unique biodiversity hotspot located in the northern Andes. Over the last decades, páramo plants and animals have been increasingly studied, yet a critical knowledge gap remains on their microbial ecology. Given the crucial importance of mycorrhiza in structural and functional communities, our study aimed to explore their geographic distribution in the Colombian páramos. Specifically, we used information about their host plants as a proxy and modelled their current distribution to unravel spatial patterns related to mycorrhizal status and mycorrhizal types. We constructed species distribution models for 440 vascular plant species representatives of the Colombian páramos using a combination of climatic and edaphic variables. Then we stacked the models following species classification into their mycorrhizal type: arbuscular, ectomycorrhizal, ericoid, orchid, and non-mycorrhizal. Our results suggest that the abundance of mycorrhizal species decreases with increasing elevation and in the west-to-east direction. The arbuscular type of mycorrhiza is chiefly dominant and spreads out widely throughout the Colombian páramos. The other types showed singular patterns, with (i) species having ericoid mycorrhiza being abundant in both the southern (Nariño–Putumayo) and the northern páramos (Sierra Nevada–Perijá); (ii) species with orchid mycorrhiza being abundant in the Western Cordillera and overall at low elevations, (iii) ectomycorrhizal species being absent, and (iv) non-mycorrhizal species being widely spread and reaching high elevations. Our study highlights the potentially high level of mycorrhization of this alpine system and contributes new spatial and environmental information towards a better understanding of mycorrhizal biogeography in tropical mountains.
To ride-hail or not to ride-hail? Complementarity and competition between public transit and transportation network companies through the lens of app data
Authors: Deng Hengfang , Castro Edgar , Gibbons Sage , de Benedictis-Kessner Justin , Wang Ryan Qi , O’Brien Daniel T. 
Published: November 2024

AbstractTransportation Network Company (TNC) services have become a prominent factor in urban transportation in recent years, and there is an ongoing debate regarding their relationship with public transit. While many argue that TNCs draw passengers away from public transportation, others believe the two modes complement each other. However, due to the inadequate sample size of rider surveys as primary data sources, our understanding of how riders choose between these two modalities remains limited. This study uses nine months of trip planning data generated by the Transit App, which captures how travelers engage with multiple options in real time, including TNC and public transit services. We extract measures from Transit describing the travel options and the habits of each individual user for sessions in which the user “tapped” on one of these two modes, indicating consideration of it as an option. Machine learning models predict the likelihood of a rider tapping TNC based on features of the available public transit options and other contextual factors (e.g., time of day, weather conditions). The models find that these taps are driven by factors that highlight the convenience of TNC, such as the waiting time, walking distance, and the number of transfers for public transportation trips. We also find that the majority of TNC trips tapped by app users combine the two modes when using the Transit App, with TNC acting as a connection to or from public transit. These results provide detailed additional evidence for current arguments for both competition and complementarity between TNC and public transit from a population that uses an app to navigate public transit.
Acceleration and deceleration demands of different soccer training drills and competitive matches
Authors: Silva Hugo , Nakamura Fábio Yuzo , Bajanca Catarina , Serpiello Fabio R. , Pinho Gonçalo , Marcelino Rui 
Published: November 2024

AbstractThis study compared acceleration and deceleration demands between different training drills (compensation, rondos, small-sided games, technical) and matches, and between playing positions. Nineteen professional players were monitored during four microcycles. Efforts intensities were classified as low (25–50%), moderate (50–75%), and high (> 75%); starting speed was assessed in bandwidths (< 5 km h−1, 5–10 km h−1, 10–15 km h−1, 15–20 km h−1, 20–25 km h−1, and > 25 km h−1). Paired mean differences compared activities, and independent groups contrasts compared playing positions, with 90% confidence intervals. Match elicited more high-intensity accelerations than technical drills (effect size [ES]: 1.75 [1.40, 2.28]), rondos (ES: 1.47 [0.92, 2.17]), compensation drills (ES: 1.28 [0.66, 2.09]), and small-sided games (ES: 0.64 [0.11, 1.25]), and more high-intensity decelerations than technical drills (ES: 0.74 [0.24, 1.32]) and rondos (ES: 0.53 [0.04, 1.06]). Compensation drills elicited more decelerations starting > 25 km h−1 than small-sided games (ES: 2.90 [2.18, 3.98]), technical drills (ES: 2.88 [2.11, 4.02]), and matches (ES: 2.06 [1.35, 3.08]). Fullbacks performed more high-intensity accelerations than central midfielders during small-sided games (ES: 0.10 [0.01, 0.20]), wide midfielders performed more high-intensity accelerations than central defenders during technical drills (ES: 0.05 [0.02, 0.08]), and wide midfielders performed more decelerations starting > 25 km h−1 than central defenders (ES: 0.10 [0.01, 0.20]) and central midfielders (ES: 0.12 [0.04, 0.20]) during matches. Match imposed higher demands to players than any drill, and merging compensation drills with small-sided games can be a good strategy to compensate competition acceleration and deceleration demands. Rondos drills should be carefully used due to the high deceleration demands.
Optimizing the Allocation of Trials to Sub-regions in Crop Variety Testing with Multiple Years and Locations
Authors: Prus Maryna , Piepho Hans-Peter 
Published: November 2024

AbstractField experiments in crop variety testing are conducted in multiple environments. When the targeted growing area can be stratified into sub-regions (zones), a design problem arises regarding the number of trials to be performed in each sub-region. We propose an analytical solution and a computational approach for optimal allocation of trials to sub-regions in multi-environment crop variety testing for multi-year experiments. For our purpose, we use a linear mixed model and we determine allocations that are optimal for the prediction of pairwise linear contrasts of genotype effects. For computations, we use the OptimalDesign package. The analytical results are illustrated by a real data example.
‘Why can't people see or understand or make that effort to see who I am?’: documenting the experiences of low socioeconomic students at an elite tertiary institution through a social identity lens
Authors: Walker Sarah , Campbell Sai , Smyth Lillian , Platow Michael J. , Venville Grady , Willis Tania 
Published: November 2024

AbstractFor the first time, this study uses a social identity lens, to explore how one group of students reflect on their experience at an elite Australian higher educational institution (HEI). This qualitative research project invited undergraduate, domestic students who self-identified as being from a low-socioeconomic (low-SES) background to participate in a semi-structured interview exploring their experience of transition into university and the support they drew on to continue. We did this with the intent of focusing particularly on the social experience of these students to a) map contributors and challenges to sense of belonging in a setting where these students are catastrophically under-represented, and b) to examine if the international evidence that widening participation students do not benefit from social advancement at an elite institution are replicated in an Australian context, where social class is less openly acknowledged or discussed. The data documents the experience of 12 students from low-SES backgrounds at an elite university where only 4% of the undergraduate domestic student population (total population ~ 10,000) are from a low-socioeconomic background, but where the university provides access to high quality education, social networks and career opportunities. Participant narratives highlight a diversity of experiences and the wealth disparity that impacts individuals’ abilities and desires to engage and connect with the university community. For these students, support was often personal and came down to individuals and interpersonal relationships encouraging these students to continue, while the challenges were institutional, systemic and group-based.
A Dynamic Early Warning Model for Flash Floods Based on Rainfall Pattern Identification
Authors: Yuan Wenlin , Jing Bohui , Xu Hongshi , Tang Yanjie , Zhang Shuaihu 
Published: November 2024

AbstractFlash floods are one of the most devastating natural hazards in mountainous and hilly areas. In this study, a dynamic warning model was proposed to improve the warning accuracy by addressing the problem of ignoring the randomness and uncertainty of rainfall patterns in flash flood warning. A dynamic identification method for rainfall patterns was proposed based on the similarity theory and characteristic rainfall patterns database. The characteristic rainfall patterns were constructed by k-means clustering of historical rainfall data. Subsequently, the dynamic flood early warning model was proposed based on the real-time correction of rainfall patterns and flooding simulation by the HEC-HMS (Hydrologic Engineering Center’s Hydrologic Modeling System) model. To verify the proposed model, three small watersheds in China were selected as case studies. The results show that the rainfall patterns identified by the proposed approach exhibit a high correlation with the observed rainfall. With the increase of measured rainfall information, the dynamic correction of the identified rainfall patterns results in corresponding flood forecasts with Nash-Sutcliffe efficiency (NSE) exceeding 0.8 at t = 4, t = 5, and t = 6, thereby improving the accuracy of flash flood warnings. Simultaneously, the proposed model extends the forecast lead time with high accuracy. For rainfall with a duration of six hours in the Xinxian watershed and eight hours in the Tengzhou watershed, the proposed model issues early warnings two hours and three hours before the end of the rainfall, respectively, with a warning accuracy of more than 0.90. The proposed model can provide technical support for flash flood management in mountainous and hilly watersheds.
Disparities in Patient Portal Activation and Usage at a Large Pediatric Academic Institution
Authors: Chuang Ethan G. , Richardson Andrew C. , Boulil Zaineb , Kuelbs Cynthia L. , Huang Jeannie S. 
Published: November 2024

Abstract
Background and Objective
Access to personal medical information promotes patient understanding of health issues and enables patient self-advocacy of healthcare needs. The advent of electronic medical record systems and the 2016 21st Century CURES Act promoted and encouraged patient access to personal medical information, yet technology-dependent modalities have often disadvantaged certain communities. We sought to evaluate whether disparities existed in access to patient portals at our institution, the main pediatric care provider in an area serving one million children.

Methods
We evaluated the activation of patient portal accounts at our institution over the past decade (2010–2021). Portal activation data were analyzed by ethnic background and language preference and income information available based on primary home access location. Further, we evaluated portal activation rates over time and across institutional interventions. A logistic regression model was used to identify important demographic associations with portal account status.

Results
Over 1 million patients were served at our pediatric institution over the study period with 47.7% having ever activated their patient portals. Univariate analyses and ultimately logistic regression modeling demonstrated significant differences in portal activation by ethnicity (odds ratio (confidence interval):1.36 (1.34, 1.37)), language preference (1.39 (1.37, 1.40)), and median household income (1.00001 (1.00001, 1.00001)). Interim interventions were successful in improving portal activation rates.

Discussion
Overall, electronic medical record portal activation was less prevalent among Hispanic, non-English speakers, and patients living in communities with lower median household income.

Conclusion
Opportunities for interventions exist to reduce healthcare disparities in these underserved communities.
Difference distance magic oriented graphs
Authors: Altman Kathryn , Calzado Lauren , Freyberg Bryan , Kovář Petr , Lewis Emma , Marr Alison , Ross Lauren , Via Rowan 
Published: November 2024

AbstractThis article introduces difference distance magic (DDM) labelings, a new labeling on oriented graphs. We discuss basic properties of oriented graphs that have a DDM labeling and methods for constructing DDM labelings in a wide variety of oriented graph classes. We also give a variety of oriented graph classes that fail to produce a DDM labeling.
The oldest fossil record in the Iberian Peninsula; lower Ediacaran acritarchs of the Tentudía Formation, Ossa-Morena Zone (OMZ), Southwest Iberian Massif.
Authors: Palacios Teodoro 
Published: November 2024

AbstractA diverse assemblage of acritarchs, that represents the oldest fossil record of the Iberian Massif, is described from Ediacaran metasedimentary rocks of the Tentudía Formation included in the Ossa Morena Zone stratigraphy (Southwestern Iberia). The microfossils found include Assesserium pyramidalis, Cavaspina sp. A, Ceratosphaeridium sp. A, Dictyotidium sp. A, Multifronsphaeridium sp. A, Schizofusa zangwenlongii, Tanarium megaconicum Tanarium sp. A, and Tanarium ? sp. B, This assemblage is diagnostic of the mainly lower Ediacaran Doushantuo-Pertatataka acritarchs (c. 633—565 Ma.). The lithological diversity of the Tentudía Formation suggests that these Ediacaran sedimentary rocks were deposited in a diversity of environments (platform, slope and submarine fans, including mass transport deposits in a back-arc basin that extended into the southern part of the Central Iberian Zone. The mass transport deposits are represented in the Ossa-Morena Zone by the Salvaleón Olistostrome composed by turbidites including chert clast probably derived from the shelf. The migration of the mass transport deposits into the Central Iberian Zone (Orellana Formation) indicates the migration of the back-arc basin depocenter. Later inversion of the back-arc basin is marked by the deformation of the lower Ediacaran sedimentary rocks Serie Negra Group in the Ossa-Morena Zone and Domo Extremeño Group in the Central Iberian Zone. In the upper Ediacaran-Terreneuvian a carbonate platform (Ibor Group) was established in the southern part of the Central Iberian Zone unconformably overlying the previously deformed Domo Extremeño Group. The most proximal areas in the Ossa-Morena Zone are represented by the Malcocinado Formation which overlies the Serie Negra Group and the distal areas of the southern part of the Central Iberian Zone are represented by distal shelf and slope deposits of the Cijara Formation, which are overlain by mass transport deposits that include carbonate olistolites from the Ibor Group (such as the Fuentes and Membrillar olistostromes).
Integrating an Annotation Project in a Senior-Level Biomedical Engineering Course to Develop Primary Literature Analysis and Science Communication Skills
Authors: Tanyeri Melikhan 
Published: November 2024

Abstract

Purpose
This paper describes a senior-level biomedical engineering course designed to educate students on primary literature analysis and effective scientific communication. The course integrates elements from both disciplines through in-class discussions of primary research articles and an innovative annotation project utilizing the Science in the Classroom (SitC) program.

Methods
The course incorporates weekly discussions of seminal research articles led by the instructor in the field of biomedical microdevices, bi-weekly quizzes to assess comprehension, and a novel final project where student groups collaborate to annotate a high-impact scientific article through the SitC program. The annotations aim to make the article accessible to a broader audience while training the students in primary literature analysis and effective scientific communication.

Results
The course effectively enhances student understanding of primary literature, as evidenced by the significant improvement in quiz scores following in-class discussions. Additionally, student participation in the annotation project contributes valuable educational resources to the SitC program, promoting the dissemination of scientific knowledge to a wider audience.

Conclusions
The novel aspects of the course, specifically the annotation project, offer a unique learning experience by equipping students with the necessary skills to navigate and critically analyze primary research articles. The course also fosters effective scientific communication, transforming students into active contributors to the scientific community. Recommendations are included for instructors interested in adopting this novel approach to teaching primary literature analysis and scientific communication.
Improved machine learning models with a similarity-based approach for remaining useful life prediction
Authors: Isbilen F. , Bektas O. , Avsar R. , Konar M. 
Published: November 2024

AbstractCost efficiency is a critical factor in the competitive aviation sector. These efficiency factors force airline operators to develop new approaches in their organizations. Predictive maintenance helps to build scheduling maintenance programs for airline operators or MROs. Scheduled maintenance programs benefit cost efficiency in the aviation sector. Predictive maintenance methods predict the failure time of any equipment. Predictions can be made by analyzing the sensor values from equipment.In this paper, we predicted the remaining useful life (RUL) of turbofan engines using machine learning models and a similarity-based approach. Sensor datasets from the Prognostics Data Repository of NASA, called CMAPPS, were utilized. Using the FD0002 sub-dataset, a health index (HI) was created, and models were trained. Once the models were trained, train and test HIs were estimated. The predicted test HI was matched with the predicted train HI based on a similarity-based approach, and then a RUL prediction was made. The results obtained were compared with the actual results to calculate the accuracy, and the algorithm that resulted in the maximum accuracy was identified.We selected six machine learning algorithms and also created an ensemble model by averaging the predictions of six machine learning algorithms for comparing prediction accuracy. The different algorithms were compared to obtain the prediction model with the closest prediction of remaining useful lifecycle in terms of the number of life cycles. This experiment showed us the effect of the similarity-based approach on the basic version of machine learning models for RUL prediction.