bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of datasets citation coverage in Google Scholar, Web of Science, Scopus, Crossref, and DataCite
Authors: Gerasimov Irina , KC Binita , Mehrabian Armin , Acker James , McGuire Michael P. 
Published: June 2024

AbstractThe rapid increase of Earth science data from remote sensing, models, and ground-based observations highlights an urgent need for effective data management practices. Data repositories track provenance and usage metrics which are crucial for ensuring data integrity and scientific reproducibility. Although the introduction of Digital Object Identifiers (DOIs) for datasets in the late 1990s has significantly aided in crediting creators and enhancing dataset discoverability (akin to traditional research citations), considerable challenges persist in establishing linkage of datasets used with scholarly documents. This study evaluates the citation coverage of datasets from NASA’s Earth Observing System Data and Information System (EOSDIS) across several major bibliographic sources ‒ namely Google Scholar (GS), Web of Science (WoS), Scopus, Crossref, and DataCite—which helps data managers in making informed decisions when selecting bibliographic sources. We provide a robust and comprehensive understanding of the citation landscape, crucial for advancing data management practices and advancing open science. Our study searched and analyzed temporal trends across the bibliographic sources for publications that cite approximately 11,000 DOIs associated with EOSDIS datasets, yielding 17,000 unique journal and conference articles, reports, and book records linked to 3,000 dataset DOIs. GS emerged as the most comprehensive source while Crossref lagged significantly behind the other major sources. Crossref’s record references revealed that the absence of dataset DOIs and shortcomings in the Crossref Event data interface likely contributed to its underperformance. Scopus initially outperformed WoS until 2020, after which WoS began to show superior performance. Overall, our study underscores the necessity of utilizing multiple bibliographic sources for citation analysis, particularly for exploring dataset-to-document connections.
Gender and the h-index in epidemiology
Authors: Horney Jennifer A. , Bitunguramye Adam , Shaukat Shazia , White Zackery 
Published: June 2024

AbstractGender-Based differences in h-indices across fields, including psychology, social work, and the biomedical sciences have been reported. These differences are persistent across all faculty ranks, including assistant, associate, and full professors, but may be larger for early career and senior faculty. Even with these known biases, the h-index remains a widely used metric of the productivity and impact of research scientists and university faculty. Recently, several studies have drawn attention to the potential for a widening gender gap in academic metrics given the ways in which gendered roles, and thus research productivity, were inequitably impacted by the COVID-19 pandemic. We describe the association between gender and h-index among a sample of tenured faculty from epidemiology departments in Schools and Programs of Public Health. Gender explained 1.2% of the variance in h-indices; after adjustment for professional age, gender explained only 0.1% of the variance. There was also crossover interaction for professional age and gender, with women having lower h-indices in early career yet overtaking males later. If h-indices are utilized as metrics for promotion and tenure, or as criteria for appointments to leadership or other roles, gender bias will continue to limit early- and mid-career women’s inclusion and advancement.
Exploring in vitro oryzalin-induced polyploidy in Astragalus membranaceus: implications for gene expression
Authors: Šenkyřík Josef Baltazar , Navrátilová Božena , Fišerová Barbora , Kobrlová Lucie , Ondřej Vladan 
Published: June 2024

Abstract
This study investigates the effects of artificial in vitro polyploidisation of Astragalus membranaceus, focusing specifically on gene expression and metabolic pathway associated with the biosynthesis of calycosin and calycosin-7-O-β-D-glucoside. Using oryzalin as an antimitotic agent, we have systematically investigated different genotypic lines, under both in vitro and ex vitro conditions. Amid cases of reduced gene expression in certain lines, results showed a significant upregulation in specific lines, particularly in genotypes 16, 54, and 74. Genotype 54 showed an exceptional response, manifesting a statistically significant upregulation in all investigated genes studied under in vitro conditions (i.e. AmPAL, AmC4H and AmI3′H). Interestingly, even under ex vitro conditions after two years of greenhouse cultivation, certain lines showed significant variations in gene expression. The genotype 16, although no longer tetraploid, exhibited the highest expression levels among the examined genotypes, with statistically significant upregulation of both the AmPAL and AmC4H genes. In addition, the induced autotetraploid genotype 74 showed a significant upregulation of the AmI3′H gene and a concomitant downregulation of the AmC4H gene. These results highlight the complex regulatory mechanisms affected by the polyploidisation of A. membranaceus and provide promising avenues for manipulating gene expression to enhance the production of pharmacologically significant compounds.

Key message
This study investigates the effects of artificial polyploidisation on gene expression of Astragalus membranaceus, suggesting diverse regulatory influences for potential plant bioactive compound production.
Minimizing cache usage with fixed-priority and earliest deadline first scheduling
Authors: Sun Binqi , Kloda Tomasz , Garcia Sergio Arribas , Gracioli Giovani , Caccamo Marco 
Published: June 2024

AbstractCache partitioning is a technique to reduce interference among tasks running on the processors with shared caches. To make this technique effective, cache segments should be allocated to tasks that will benefit the most from having their data and instructions stored in the cache. The requests for cached data and instructions can be retrieved faster from the cache memory instead of fetching them from the main memory, thereby reducing overall execution time. The existing partitioning schemes for real-time systems divide the available cache among the tasks to guarantee their schedulability as the sole and primary optimization criterion. However, it is also preferable, particularly in systems with power constraints or mixed criticalities where low- and high-criticality workloads are executing alongside, to reduce the total cache usage for real-time tasks. Cache minimization as part of design space exploration can also help in achieving optimal system performance and resource utilization in embedded systems. In this paper, we develop optimization algorithms for cache partitioning that, besides ensuring schedulability, also minimize cache usage. We consider both preemptive and non-preemptive scheduling policies on single-processor systems with fixed- and dynamic-priority scheduling algorithms (Rate Monotonic (RM) and Earliest Deadline First (EDF), respectively). For preemptive scheduling, we formulate the problem as an integer quadratically constrained program and propose an efficient heuristic achieving near-optimal solutions. For non-preemptive scheduling, we combine linear and binary search techniques with different fixed-priority schedulability tests and Quick Processor-demand Analysis (QPA) for EDF. Our experiments based on synthetic task sets with parameters from real-world embedded applications show that the proposed heuristic: (i) achieves an average optimality gap of 0.79% within 0.1× run time of a mathematical programming solver and (ii) reduces average cache usage by 39.15% compared to existing cache partitioning approaches. Besides, we find that for large task sets with high utilization, non-preemptive scheduling can use less cache than preemptive to guarantee schedulability.
When large language models meet personalization: perspectives of challenges and opportunities
Authors: Chen Jin , Liu Zheng , Huang Xu , Wu Chenwang , Liu Qi , Jiang Gangwei , Pu Yuanhao , Lei Yuxuan , Chen Xiaolong , Wang Xingmei , Zheng Kai , Lian Defu , Chen Enhong 
Published: June 2024

AbstractThe advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved, leading to human-like performances in understanding, language synthesizing, common-sense reasoning, etc. Such a major leap forward in general AI capacity will fundamentally change the pattern of how personalization is conducted. For one thing, it will reform the way of interaction between humans and personalization systems. Instead of being a passive medium of information filtering, like conventional recommender systems and search engines, large language models present the foundation for active user engagement. On top of such a new foundation, users’ requests can be proactively explored, and users’ required information can be delivered in a natural, interactable, and explainable way. For another thing, it will also considerably expand the scope of personalization, making it grow from the sole function of collecting personalized information to the compound function of providing personalized services. By leveraging large language models as a general-purpose interface, the personalization systems may compile user’s requests into plans, calls the functions of external tools (e.g., search engines, calculators, service APIs, etc.) to execute the plans, and integrate the tools’ outputs to complete the end-to-end personalization tasks. Today, large language models are still being rapidly developed, whereas the application in personalization is largely unexplored. Therefore, we consider it to be right the time to review the challenges in personalization and the opportunities to address them with large language models. In particular, we dedicate this perspective paper to the discussion of the following aspects: the development and challenges for the existing personalization system, the newly emerged capabilities of large language models, and the potential ways of making use of large language models for personalization.
Barriers and Unmet Educational Needs Regarding Implementation of Medication Adherence Management Across Europe: Insights from COST Action ENABLE
Authors: Hafez Gaye , Aarnio Emma , Mucherino Sara , Kamusheva Maria , Qvarnström Miriam , Potočnjak Ines , Trečiokiene Indre , Mihajlović Jovan , Ekenberg Marie , van Boven Job F. M. , Leiva-Fernández Francisca ,   European Network to Advance Best Practices Technology on Medication AdherencE (ENABLE)
Published: June 2024

Abstract
Background
Medication adherence is essential for the achievement of therapeutic goals. Yet, the World Health Organization estimates that 50% of patients are nonadherent to medication and this has been associated with 125 billion euros and 200,000 deaths in Europe annually.

Objective
This study aimed to unravel barriers and unmet training needs regarding medication adherence management across Europe.

Design
A cross-sectional study was conducted through an online survey. The final survey contained 19 close-ended questions.

Participants
The survey content was informed by 140 global medication adherence experts from clinical, academic, governmental, and patient associations. The final survey targeted healthcare professionals (HCPs) across 39 European countries.

Main Measures
Our measures were barriers and unmet training needs for the management of medication adherence across Europe.

Key Results
In total, 2875 HCPs (pharmacists, 40%; physicians, 37%; nurses, 17%) from 37 countries participated. The largest barriers to adequate medication adherence management were lack of patient awareness (66%), lack of HCP time (44%), lack of electronic solutions (e.g., access to integrated databases and uniformity of data available) (42%), and lack of collaboration and communication between HCPs (41%). Almost all HCPs pointed out the need for educational training on medication adherence management.

Conclusions
These findings highlight the importance of addressing medication adherence barriers at different levels, from patient awareness to health system technology and to fostering collaboration between HCPs. To optimize patient and economic outcomes from prescribed medication, prerequisites include adequate HCP training as well as further development of digital solutions and shared health data infrastructures across Europe.
NOx Prediction of Supersonic Coherent Jets for Electric Arc Steelmaking Furnace
Authors: Pandey Gopal , Brooks Geoffrey , Naser Jamal , Liang Daniel 
Published: June 2024

AbstractSupersonic coherent jets are widely in practice in steelmaking processes including electric arc furnaces (EAF). Injecting oxygen through such coherent jets plays a vital role in enhancing the liquid gas mixing and reaction rates leading to boosting energy efficiency. Several experiments and numerical simulations have been carried out to understand the physical phenomenon of the coherent jets and to predict the behavior of the jets. However, the research on pollutant formation in the coherent jets for steelmaking is limited. As the industry transitions toward reducing emissions, prediction of pollutant formation is crucial. This numerical study analyzes both methane shrouding coherent jets and hydrogen shrouding coherent jets and predicts the NOx (oxides of nitrogen) formation. It has been found that NO concentration dominates over N2O and NO2 and has the highest concentration around the jet. Although the NO concentration reaches as high as 1070 ppm at high-temperature region around the jet, it remains below 225 ppm along the fuel inlet axis. Also, it has found that the NOx concentrations increase along the radial direction up to $$1.5{\text{De}}$$

1.5
De

from the jet central line and gradually decreases, whereas the NO concentration peaks at $$15{\text{D}}_{{\text{e}}}$$

15

D
e

along the jet axis in the downstream direction.
Blusher mushroom (Amanita rubescens Pers.): A Study of Mercury Content in Substrate and Mushroom Samples from Slovakia with Respect to Locality and Developmental Stages
Authors: Demková Lenka , Šnirc Marek , Jančo Ivona , Harangozo Ľuboš , Hauptvogl Martin , Bobuľská Lenka , Kunca Vladimír , Árvay Július 
Published: June 2024

AbstractThe edible mushroom Amanita rubescens Pers., regularly collected and consumed in Slovakia, was assessed for health risk due to the mercury content in its fruiting body parts. For this purpose, 364 both from the soil/substrate and mushroom samples from 40 localities in Slovakia were evaluated. At the same time, 21 samples of 7 developmental stages of the fruiting body of A. rubescens were taken in the Žakýlske pleso locality. The total mercury content in the soil and mushroom samples was determined using an AMA-254 analyzer. The contamination factor (Cf) and index of geoaccumulation (Igeo) were used to detect the level of soil pollution by mercury. The ability of A. rubescens to accumulate mercury from the soil environment was evaluated using the bioconcentration factor (BCF), and the distribution of mercury in the mushroom body was evaluated using the translocation quotient (Qc/s). To determine the health risks resulting from mushroom consumption, the percentages of provisional tolerable weekly intake (%PTWI) and target hazard quotient (THQ) were used. The obtained results have confirmed serious content of mercury soil pollution, especially in former mining areas, where the situation is alarming from a health risk point of view. Consumption of A. rubescens was found to be risky, not only in former mining areas, but higher values of mercury were also detected in other parts of Slovakia. Evaluation of the developmental stages of the fruiting body of A. rubescens showed that the highest bioconcentration factor was determined at developmental stage no. VI for caps with a value of 2.47 mg kg−1 and developmental stage VII for stipes with a value of 1.65 mg kg−1 DW.
Neonatal Cardiac Mesenchymal Stromal Cells Promote Recovery of Infarcted Myocardium through CD44 Mediated FoxP3+ T-Regulatory Cells after Vascular Infusion
Authors: Saha Progyaparamita , Guru Sameer Ahmad , Ge Zhi-Dong , Simms Lydia , Chen Ling , Bolli Roberto , Kaushal Sunjay 
Published: June 2024

Abstract
Intravenous infusion has been used as the method of cell delivery in many preclinical studies as well as in some early clinical trials. Among its advantages are broad distribution, ability to handle a large-volume infusion, and ease of access. Progenitor cells used in cell-based therapy act through their secretomes, rather than their ability to differentiate into lineage-specific cell type. Since not all progenitor cells have similar secretome potency, the innate abilities of the secretome of cells used in clinical trials will obviously dictate their effectiveness. We previously found that cardiac neonatal mesenchymal stromal cells (nMSCs) are more effective in repairing the infarcted myocardium compared to adult mesenchymal stromal cells (aMSCs) due to their robust secretome (Sharma et al Circulation Research 120:816–834, 2017). In this study, we explored the efficacy of intravenous (IV) delivery of nMSCs for myocardial recovery. Six-week-old male Brown Norway rats underwent acute MI by ligation of the left anterior descending artery, followed by IV infusion of cell dose 5 × 106 nMSCs/rat body weight (kg) or saline on days 0 and 5. We found that cardiac parameters in the rodent ischemia model improved 1 month after nMSCs infusion, and the result is comparable with the intramyocardial injection of nMSCs. Tracking the infused cells in target organ revealed that their movement after IV delivery was mediated by the cell surface receptor CD44. Systemic injection of nMSCs stimulated immunomodulatory responses specifically by increasing FoxP3+ T-regulatory cell influenced anti-inflammatory macrophages (M2) in heart. These data demonstrate that nMSCs promote immunogenic tolerance via CD44-driven T-reg/M2 stimulation that helps nMSCs for longer viability in the injured myocardium for better functional recovery. Our data also demonstrate a rationale for a clinical trial of IV infusion of nMSCs to promote cardiac function improvement in the ischemic patients.

Graphical Abstract
Activation of lncRNA DANCR by H3K27 acetylation regulates proliferation of colorectal cancer cells
Authors: Han Yue , Shan Ti-Dong , Huang Hai-Tao , Song Ming-Quan , Chen Li , Li Qian 
Published: June 2024

AbstractThe long noncoding DANCR functions as a tumor oncogene in many cancers, including colorectal cancer (CRC). However, the molecular mechanism of DANCR in CRC has not been explored. This study probed the function and potential mechanism by which DANCR contributes to the progression of CRC. The obtained data indicated that DANCR is overexpressed in CRC tissues and cell lines. Knockdown of DANCR hindered CRC cell proliferation, which was mediated by cyclin D1 and CDK4. Bioinformatic analysis, luciferase reporter assays and subcellular fractionation verified that DANCR directly binds to miR-508-5p. Moreover, DANCR acts as a miR-508-5p ceRNA to regulate expression of ATF1. In addition, upregulation of DANCR is attributed to H3K27 acetylation at the promoter region. In conclusion, our study confirmed that activation of lncRNA DANCR by H3K27 acetylation has an oncogenic role in CRC progression and provides a potential therapeutic target for CRC.
Determination of the amount of oxygen required for each function in the bacterial cell during phenol biodegradation in wastewater: a unique concept
Authors: Lotfy Hesham R. 
Published: June 2024

AbstractThe goal of this study is to provide more in-depth study into the biodegradation of phenol and to determine the amount of oxygen required for each function in the bacterial cell which is fundamental in understanding of cell metabolism and biology. The total amount of oxygen consumed by bacteria is determined using manometric technique. In the biodegradation of phenol (less than 150 mg/L) the oxygen consumed up to the plateau (the stage associated with the termination of carbon) is found to be composed of three portions, one is used to directly oxidize portion of the substrate to produce energy to allow normal cell functions to sustain life which is estimated to be 50% of the plateau BOD (biochemical oxygen demand), the second portion is to oxidize energy storage intermediate (most probably carbon mono oxide, CO, is oxidized to CO2) to release energy which is then used to power reproduction which is estimated to be 41.75% of the plateau BOD, third portion is incorporated into the produced new cells which is estimated to be 8.25% of the plateau BOD. The correlation coefficient between the initial phenol concentration and the ultimate BOD values is found to be r = 0.9999. This value of correlation coefficient, r, may indicate that microbes are, in a way, estimating the amount of food available and they grow and reproduce accordingly. This article provides a better understanding of cell metabolism and biology. This understanding of cell metabolism may offer better understanding of human cells. The results of this research paves the way for a similar research on human cells where abnormal oxygen uptake may assist in early prediction of cells dysfunction and diseases and may help in early taking the necessary precautions to avoid illness.
ProxMetrics: modular proxemic similarity toolkit to generate domain-adaptable indicators from social media
Authors: Masson Maxime , Roose Philippe , Sallaberry Christian , Bessagnet Marie-Noelle , Le Parc Lacayrelle Annig , Agerri Rodrigo 
Published: June 2024

Abstract
In this paper, we introduce ProxMetrics, a novel toolkit designed to evaluate similarity among social media entities through proxemic dimensions. Proxemics is the science that studies the organization of space and the effects of distances on behavior and interactions. It encompasses 5 core dimensions: Distance, Identity, Location, Movement, and Orientation. Adapting the principles of traditional physical proxemics to the digital world of social media, we present a method and a modular similarity function to determine proxemic similarity scores across heterogeneous social media entities (users, groups, places, themes and times) based on these dimensions. The approach used is intended to be modular and generic, ensuring adaptability across various application domains and requirements. The calculated scores act as indicators and offer valuable insights for stakeholders, aligning with distinct domain requirements. Empirical testing in the tourism domain highlights the toolkit’s extensive applicability across a variety of requirements.
The effect of friction block hole configurations on the brake tribological performance of high-speed trains
Authors: Wu Yuanke , Chen Wei , Zhu Youguang , Xiang Zaiyu , Qian Honghua , Mo Jiliang , Zhou Zhongrong 
Published: June 2024

AbstractThree triangular friction block configurations are commonly employed in high-speed train brake systems, namely, unperforated, perforated configuration with one circular hole, and perforated with three circular holes. In this study, we adopted these friction block types to investigate the effect of perforated friction block configurations on the brake performance of high-speed trains based on a self-developed brake test rig. The results indicate the significant impact of the number of the holes on the wear behavior, temperature distribution, and vibration characteristics of the brake interface. The friction surface of the unperforated block is covered by wear debris, while the perforated blocks produce less wear debris. Furthermore, the one-hole block exhibits a more uniform temperature distribution and better vibration behavior than that with three holes. The friction brake is a dynamic process, during which separation and attachment between the pad and disc alternatively occur, and the perforated structure on the friction block can both trap and expel the wear debris.