bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Compressed Baryonic Matter (CBM) Experiment at FAIR – Physics, Status and Prospects
Authors: Agarwal Kshitij 
Published: February 2023

Abstract
The Compressed Baryonic Matter (CBM) experiment is one of the major scientific pillars of the Facility for Antiproton and Ion Research (FAIR). The physics programme of CBM is centred around the exploration of the QCD phase diagram and nuclear matter equation-of-state in the region of high baryon densities. The respective rare probes will be accessed by using nucleus-nucleus collisions in the energy range √sNN = 2.9 - 4.9 GeV at peak interaction rates of up to 10 MHz and a trigger-less data acquisition scheme. This article reviews CBM physics goals with the experimental observables. The progress and current status of the comprising detector sub-systems, including their performance in FAIR Phase-0 experiments will also be presented.
Quantification of the atomic surfaces and volumes of a metal cluster based on the molecular surface model
Authors: Yu Yifan , Cui Junzhi 
Published: February 2023

Abstract
The atomic volume and surface are important geometric quantities for calculating various macroscopic physical quantities from atomistic models. This paper proposes a new analytical method to calculate the atomic volumes and surfaces of a metal cluster. This method adopts metallic radii to describe atom sizes and constructs the overall volume/surface by the molecular surface (MS) model. It divides cluster atoms into two types: interior atoms and boundary atoms. For an interior atom, the method defines a variational Voronoi cell as its volume. For a boundary atom, the method defines the intersection of the overall cluster volume and its variational Voronoi cell as its volume. The atomic surfaces are calculated along with the volume calculations. Compared with other methods, the new method considers the effect of atom sizes and does not rely on the size and location of the simulation box. Therefore, the new method can accurately calculate the overall volume of a metal cluster of arbitrary shape and the individual atomic volumes. This method provides computational support for multiscale coupled calculations from the microscale to macroscale.
Calculation of rescaling factors and nuclear multiplication of muons in extensive air showers
Authors: Cheminant Kevin Almeida , Góra Dariusz , Borodai Nataliia , Engel Ralph , Pierog Tanguy , Pȩkala Jan , Roth Markus , Unger Michael , Veberič Darko , Wilczyński Henryk 
Published: February 2023

Abstract
Recent results obtained from leading cosmic ray experiments indicate that simulations using LHC-tuned hadronic interaction models underestimate the number of muons in extensive air showers compared to experimental data. This is the so-called muon deficit problem. Determination of the muon component in the air shower is crucial for inferring the mass of the primary particle, which is a key ingredient in the efforts to pinpoint the sources of ultra-high energy cosmic rays. In this paper, we present a new method to derive the muon signal in detectors, which uses the difference between the total reconstructed (‘data’) and simulated signals, and is in turn related to the muon signal which is roughly independent of the zenith angle, but depends on the mass of the primary cosmic ray. Such a method offers an opportunity not only to test/calibrate the hadronic interaction models, but also to derive the β exponent, which describes an increase of the number of muons in a shower as a function of the energy and mass of the primary cosmic ray. Detailed simulations show a dependence of the β exponent on hadronic interaction properties, thus the determination of this parameter is important for understanding the muon deficit problem. We validate the method by using Monte-Carlo simulations for the EPOS-LHC and QGSJetII-04 hadronic interaction models, and show that this method allows us to recover the ratio of the muon signal between EPOS-LHC and QGSJetII-04 and the average β exponent for the studied system, within less than a few percent. This is a consequence of the good recovery of the muon signal for each primary included in the analysis.
Isolation and Characterization of Triterpenoids from the Stem of Diospyros gracilis
Authors: Wuttikit S. , Thanakijcharoenpath W. 
Published: February 2023

Abstract
The genus Diospyros comprises numerous plant species, several of which are economically and ethnomedicinally important. Some of them yield valuable timber, and some give commercialized edible fruit. Diospyros plants have long been known for their therapeutic property and employed in folk medicine in different parts of the world. Phytochemical study of these plants might give information beneficial for their utilization. Diospyros gracilis is one of Diospyros species with no previous report on phytochemical investigation. In this study, six pentacyclic triterpenoids, including friedelin, epifriedelanol, lupeol, betulin, betulinic acid, and betulinaldehyde, were isolated from the stem of the plant. Identification of the isolated compounds was mainly based on analysis of 1H- and 13C-NMR spectral data, confirmed by comparison with the literature values.
Climate-smart infrastructure in the United States—what does it look like and how do we get it built?
Authors: Lashof Daniel , Neuberger Jillian 
Published: February 2023

Abstract
The United States has committed to reduce its greenhouse gas emissions to 50%–52% below 2005 levels by 2030 and to net-zero emissions by 2050. This is in line with the Paris Agreement goal of limiting global warming to no more than 1.5 °C. Multiple studies show that achieving these targets is technologically feasible and would have net direct costs of less than 1% of GDP (and possibly negative), not accounting for climate benefits or other externalities. Robust federal, state, and local policies would be needed to ensure that infrastructure to enable decarbonization is built at the required pace and scale. Simultaneous investments in adaptation and resilience infrastructure, including upgrading green and grey infrastructure, will be needed to adapt to the consequences of climate change that can no longer be avoided and increase economic and social resilience to more frequent or severe extreme weather events. These kinds of climate smart infrastructure—infrastructure required to support rapid decarbonization and withstand unavoidable climate change impacts—are expansive and varied. Infrastructure investments to enable decarbonization include renewable and other zero- or near-zero-emissions electricity generation; short- and long-duration energy storage; robust and flexible electricity transmission and distribution; charging and refueling infrastructure for zero-emission vehicles; and clean hydrogen and carbon dioxide capture, transportation and storage. Infrastructure investments in adaptation include supporting infrastructure for extreme heat, drought, and wildfire resilience; coastal and inland flood resilience; and public health resilience. Physically deploying this infrastructure depends on a significant investment focused on addressing the causes and impacts of climate change, as well as an intentional effort to adopt processes and practices at all levels of government to facilitate such large-scale infrastructure deployment and reconstruction. Shifting from a status quo to a transformational approach to infrastructure investment and deployment will be essential to addressing the climate crisis. It will also provide an opportunity to rethink how to design and implement infrastructure in a way that increases equity and delivers for the communities it serves.
Statistical inference for streamed longitudinal data
Authors: Luo Lan , Wang Jingshen , Hector Emily C 
Published: February 2023

Summary
Modern longitudinal data, for example from wearable devices, may consist of measurements of biological signals on a fixed set of participants at a diverging number of time-points. Traditional statistical methods are not equipped to handle the computational burden of repeatedly analysing the cumulatively growing dataset each time new data are collected. We propose a new estimation and inference framework for dynamic updating of point estimates and their standard errors along sequentially collected datasets with dependence, both within and between the datasets. The key technique is a decomposition of the extended inference function vector of the quadratic inference function constructed over the cumulative longitudinal data into a sum of summary statistics over data batches. We show how this sum can be recursively updated without the need to access the whole dataset, resulting in a computationally efficient streaming procedure with minimal loss of statistical efficiency. We prove consistency and asymptotic normality of our streaming estimator as the number of data batches diverges, even as the number of independent participants remains fixed. Simulations demonstrate the advantages of our approach over traditional statistical methods that assume independence between data batches. Finally, we investigate the relationship between physical activity and several diseases through analysis of accelerometry data from the National Health and Nutrition Examination Survey.
Variability in objective sleep is associated with Alzheimer’s pathology and cognition
Authors: Fenton Laura , Isenberg A Lisette , Aslanyan Vahan , Albrecht Daniel , Contreras Joey A , Stradford Joy , Monreal Teresa , Pa Judy 
Published: February 2023

AbstractBoth sleep duration and sleep efficiency have been associated with risk of Alzheimer’s disease, suggesting that interventions to promote optimal sleep may be a way to reduce Alzheimer’s disease risk. However, studies often focus on average sleep measures, usually from self-report questionnaires, ignoring the role of intra-individual variability in sleep across nights quantified from objective sleep measures. The current cross-sectional study sought to investigate the role of intra-individual variability in accelerometer-based objective sleep duration and sleep efficiency in relation to in vivo Alzheimer’s disease pathology (β-amyloid and tau) using positron emission tomography imaging and cognition (working memory, inhibitory control, verbal memory, visual memory and global cognition). To examine these relationships, we evaluated 52 older adults (age = 66.4 ± 6.89, 67% female, 27% apolipoprotein E4 carriers) with objective early mild cognitive impairment. Modifying effects of apolipoprotein E4 status were also explored. Less intra-individual variability in sleep duration was associated with lower β-amyloid burden, higher global cognition and better inhibitory control, with a trend for lower tau burden. Less intra-individual variability in sleep efficiency was associated with lower β-amyloid burden, higher global cognition and better inhibitory control, but not with tau burden. Longer sleep duration was associated with better visual memory and inhibitory control. Apolipoprotein E4 status significantly modified the association between intra-individual variability in sleep efficiency and β-amyloid burden, such that less sleep efficiency variability was associated with lower β-amyloid burden in apolipoprotein E4 carriers only. There was a significant interaction between sleep duration and apolipoprotein E4 status, suggesting that longer sleep duration is more strongly associated with lower β-amyloid burden in apolipoprotein E4 carriers relative to non-carriers. These results provide evidence that lower intra-individual variability in both sleep duration and sleep efficiency and longer mean sleep duration are associated with lower levels of β-amyloid pathology and better cognition. The relationships between sleep duration and intra-individual variability in sleep efficiency with β-amyloid burden differ by apolipoprotein E4 status, indicating that longer sleep duration and more consistent sleep efficiency may be protective against β-amyloid burden in apolipoprotein E4 carriers. Longitudinal and causal studies are needed to better understand these relationships. Future work should investigate factors contributing to intra-individual variability in sleep duration and sleep efficiency in order to inform intervention studies.
Cholecystokinin receptor antagonist challenge elicits brain-wide functional connectome modulation with micronetwork hippocampal decreased calcium transients
Authors: Manno Francis A M , An Ziqi , Su Junfeng , Liu Jiaming , He Jufang , Wu Ed X , Feng Yanqiu , Lau Condon 
Published: February 2023

Abstract
The cortical distribution and functional role of cholecystokinin (CCK) are largely unknown. Here, a CCK receptor antagonist challenge paradigm was developed to assess functional connectivity and neuronal responses. Structural–functional magnetic resonance imaging and calcium imaging were undertaken in environmental enrichment (EE) and standard environment (SE) groups (naïve adult male mice, n = 59, C57BL/B6J, P = 60). Functional connectivity network-based statistics and pseudo-demarcation Voronoi tessellations to cluster calcium signals were used to derive region of interest metrics based on calcium transients, firing rate, and location. The CCK challenge elicited robust changes to structural–functional networks, decreased neuronal calcium transients, and max firing rate (5 s) of dorsal hippocampus in SE mice. However, the functional changes were not observed in EE mice, while the decreased neuronal calcium transients and max firing rate (5 s) were similar to SE mice. Decreased gray matter alterations were observed in multiple brain regions in the SE group due to CCK challenge, while no effect was observed in the EE group. The networks most affected by CCK challenge in SE included within isocortex, isocortex to olfactory, isocortex to striatum, olfactory to midbrain, and olfactory to thalamus. The EE group did not experience network changes in functional connectivity due to CCK challenge. Interestingly, calcium imaging revealed a significant decrease in transients and max firing rate (5 s) in the dorsal CA1 hippocampus subregion after CCK challenge in EE. Overall, CCK receptor antagonists affected brain-wide structural–functional connectivity within the isocortex, in addition to eliciting decreased neuronal calcium transients and max firing rate (5 s) in CA1 of the hippocampus. Future studies should investigate the CCK functional networks and how these processes affect isocortex modulation.
Significance Statement
Cholecystokinin is a neuropeptide predominately found in the gastrointestinal system. Albeit abundantly expressed in neurons, the role and distribution of cholecystokinin are largely unknown. Here, we demonstrate cholecystokinin affects brain-wide structural–functional networks within the isocortex. In the hippocampus, the cholecystokinin receptor antagonist challenge decreases neuronal calcium transients and max firing rate (5 s) in CA1. We further demonstrate that mice in environmental enrichment do not experience functional network changes to the CCK receptor antagonist challenge. Environmental enrichment may afford protection to the alterations observed in control mice due to CCK. Our results suggest that cholecystokinin is distributed throughout the brain, interacts in the isocortex, and demonstrates an unexpected functional network stability for enriched mice.
Standardized naming of microbiome samples in Genomes OnLine Database
Authors: Mukherjee Supratim , Ovchinnikova Galina , Stamatis Dimitri , Li Cindy Tianqing , Chen I-Min A , Kyrpides Nikos C , Reddy T B K 
Published: February 2023

Abstract
The power of next-generation sequencing has resulted in an explosive growth in the number of projects aiming to understand the metagenomic diversity of complex microbial environments. The interdisciplinary nature of this microbiome research community, along with the absence of reporting standards for microbiome data and samples, poses a significant challenge for follow-up studies. Commonly used names of metagenomes and metatranscriptomes in public databases currently lack the essential information necessary to accurately describe and classify the underlying samples, which makes a comparative analysis difficult to conduct and often results in misclassified sequences in data repositories. The Genomes OnLine Database (GOLD) (https:// gold.jgi.doe.gov/) at the Department of Energy Joint Genome Institute has been at the forefront of addressing this challenge by developing a standardized nomenclature system for naming microbiome samples. GOLD, currently in its twenty-fifth anniversary, continues to enrich the research community with hundreds of thousands of metagenomes and metatranscriptomes with well-curated and easy-to-understand names. Through this manuscript, we describe the overall naming process that can be easily adopted by researchers worldwide. Additionally, we propose the use of this naming system as a best practice for the scientific community to facilitate better interoperability and reusability of microbiome data.
Successful exclusion of left main trunk coronary artery aneurysm and concomitant HeartMate 3 implantation in a patient with a history of infective endocarditis: a case report
Authors: Kunioka Shingo , Tadokoro Naoki , Fujita Tomoyuki , Fukushima Satsuki 
Published: February 2023

AbstractBackgroundCoronary artery embolism is a rare, life-threatening complication in patients with infectious endocarditis. Percutaneous transluminal coronary angioplasty is a common treatment; however, a coronary artery aneurysm may develop at the angioplasty site.Case summaryA 33-year-old women had been hospitalized in another institution due to cardiopulmonary arrest caused by embolic occlusion in the left main artery and infective endocarditis on mitral valve. Following extracorporeal membrane oxygenation insertion, she underwent percutaneous transluminal coronary angioplasty of the left main coronary artery and mitral valve replacement. She was transferred to our institution for advanced heart failure care. We immediately upgraded extracorporeal membrane oxygenation to an extracorporeal left ventricular assist device. Despite 6-week adequate medication, her left ventricular function was not improved. She was listed for heart transplantation on post-operative Day 40. Her blood culture showed negative results for 6 weeks. We planned to convert the left ventricular assist device from extracorporeal to implantable. However, pre-operative coronary artery angiography showed a large left main trunk coronary artery aneurysm on the stent site and rapid aneurysm enlargement. Surgery was performed on post-operative Day 48; the aneurysm was left unresected; its inflow and outflow arteries were completely ligated and supplemented by coronary artery bypass grafting. HeartMate 3 was implanted concomitantly, and the post-operative course was uneventful.DiscussionCoronary artery aneurysm at the angioplasty site was treated with adequate antibiotic therapy and simply ligation of the proximal and distal flow arteries of the aneurysm. Aneurysm ligation reduced invasive surgical procedures and provided time for concomitant surgery.
Understanding medical corruption in China: a mixed-methods study
Authors: Fu Hongqiao , Lai Yi , Li Yuanyuan , Zhu Yishan , Yip Winnie 
Published: February 2023

AbstractMedical corruption is a significant obstacle to achieving health-related Sustainable Development Goals. However, the understanding of medical corruption is limited, especially in developing countries. As the largest developing country, China is also plagued by medical corruption. By employing a mixed-methods design and combining data from three resources, this study attempts to examine patterns of medical corruption in China, explore its key drivers and investigate the perceived effectiveness of recent anti-corruption interventions. Using extracted data from 3546 cases on the China Judgments Online website between 2013 and 2019, we found that bribery, embezzlement and insurance fraud accounted for 68.1%, 22.8% and 9.1% of all medical corruption cases, respectively. Bribery was the major form of medical corruption. Approximately 80% of bribe-takers were healthcare providers, and most bribe-givers were suppliers of pharmaceuticals, medical equipment and consumables. Using a nationally representative household survey, we further found that the prevalence of informal payments from patients remained at a low level between 2011 and 2018. In 2018, only 0.4% of outpatients and 1.4% of inpatients reported that they had ever given ‘red envelopes’ to physicians in the past. Finally, we conducted interviews with 17 key informants to explore drivers of medical corruption and investigated the perceived effectiveness of recent anti-corruption interventions in China. Interview results showed that financial pressure and weak oversight were two main reasons for corrupt behaviours. Interview results also suggested that the anti-corruption campaign since 2012, the national volume-based procurement, and the special campaign against medical insurance fraud had reduced opportunities for medical corruption, implying China’s positive progress in combating medical corruption. These findings hold lessons for anti-corruption interventions in China as well as other developing countries.
Achieving partnership synergy: resource inputs, shared mission and interdependencies in Danish health promotion partnerships
Authors: Holt Ditte Heering , Aveling Emma-Louise 
Published: February 2023

SummaryIntersectoral partnerships have the potential to co-produce ‘synergistic’ solutions to complex public health problems, exceeding what any single organization acting alone might achieve. Synergy requires shared decision-making and equitable co-construction by partners. However, many partnerships struggle to realize such synergistic potential. Building on the Bergen Model of Collaborative Functioning, this study offers insights for optimizing partnership synergy by examining interactions between ‘inputs’ to the partnership—shared mission, and partner resources. Specifically, we introduce the concept of ‘dependency structure’ to draw attention to how these input interactions shape the balance of power and hence the potential for shared decision-making and co-construction. Findings are based on qualitative data from 10 intersectoral, health promotion partnerships in Denmark, including 27 interviews, 10 focus groups, partnership documents and meeting observations. We identified eight distinct types of ‘input resources’, which were important in shaping the potential balance of power between partners in more or less productive ways. However, the dependency structure that materialized—and its synergistic potential—was contingent on how these inputs interacted with the partnership mission. Our findings suggest a well-developed shared mission serves three functions—(i) foregrounding a common purpose, (ii) aligning individual partner’s self-interests and (iii) enabling action. The extent to which partnerships developed a shared mission serving all three functions influenced realization of a balanced dependency structure in which collaborators recognized their interdependencies, in turn promoting shared decision-making. To ensure the greatest potential for synergy, early and ongoing discursive processes to co-develop the partnership mission were particularly important.