bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strong perturbation of a super-virial Magellanic circum-galactic medium
Authors: Locatelli Nicola , Ponti Gabriele , Merloni Andrea , Zheng Xueying , Dennerl Konrad , Haberl Frank , Maitra Chandreyee , Sanders Jeremy , Sasaki Manami , Vazza Franco 
Published: February 2023

Abstract
Modern galaxy evolution theories predict a large fraction of ordinary matter to be distributed in the form of gas over the largest galactic scales, with most of the gas mass encompassing the peak and high tail of the overall temperature distribution1. Satellite galaxies however, may lose a large amount of this extended gas due to stripping and ram pressure generated by their in-fall onto a larger system2. The presence of highly ionized gas associated with the Small and Large Magellanic Clouds has been recently confirmed through indirect probes3,4. Using eROSITA/SRG data, in this work we show the first direct images of the X-ray emission from the hottest gas associated to the circum-galactic medium surrounding the Magellanic Clouds. We discover an extended hot gas phase at ~2.3×106 K. This temperature challenges the theoretical expectations from a virialized system5,6 implying that heating mechanisms are at play in the Magellanic Clouds circum-galactic medium. We also discover a strong perturbation that we identify as a cold front in the (Galactic) South direction of the Magellanic Clouds, morphologically connected to them both. The cold front -the first ever discovered at galactic scales (~10 kpc)- also appears to be coincident with enhanced polarization at radio frequencies, as well as with a tangential alignment of the magnetic field lines. The detected discontinuity in the properties of the gas surrounding the Magellanic Clouds is consistent with a gas reservoir being perturbed by the three-body interaction between the Magellanic Clouds and the Milky Way7,8. The Magellanic Clouds provide a unique laboratory for assessing the presence of a hot gas phase in in-falling satellite systems9. The detection of a still large reservoir of hot gas, together with the detection of a front connected with thermal heating and magnetic amplification corroborates and inform galaxy evolution theories10.
Identification of 6 cuproptosis- and ferroptosis-related genes linking immune infiltration as diagnostic biomarkers for acute myocardial infarction
Authors: Zheng Mingqi , Miao Mengdan , Cao Shanhu , Tian Yifei , Liu Da , Chen Lixia , Chai Qingying , Wei Mei , Sun Shaoguang , Wang Le , Xin Shuanli , Liu Gang 
Published: February 2023

Abstract
The current diagnostic biomarkers of acute myocardial infarction (AMI), troponins, lack specificity and exist as false positives in other non-cardiac diseases. Previous studies revealed that cuproptosis, ferroptosis, and immune infiltration are all involved in the development of AMI. We hypothesize that combining the analysis of cuproptosis, ferroptosis, and immune infiltration in AMI will help identify more precise diagnostic biomarkers. The results showed that a total of 19 cuproptosis- and ferroptosis-related genes (CFRGs) were differentially expressed between the healthy and AMI groups. Functional enrichment analysis showed that the differential CFRGs were mostly enriched in biological processes related to oxidative stress and the inflammatory response. The immune infiltration status analyzed by ssGSEA found elevated levels of macrophages, neutrophils, and CCR in AMI. Then, we screened 6 immune-related CFRGs (CXCL2, DDIT3, DUSP1, CDKN1A, TLR4, STAT3) to construct a nomogram for predicting AMI and validated it in the GSE109048 dataset. Moreover, we also identified 5 pivotal miRNAs and 10 candidate drugs that target the 6 feature genes. Finally, RT-qPCR analysis verified that all 6 feature genes were upregulated in both animals and patients. In conclusion, our study reveals the significance of immune-related CFRGs in AMI and provides new insights for AMI diagnosis and treatment.
Analysis of the magnetoplasticity of steel by constructing the absorption spectrum of mechanical energy at magnetic resonance
Authors: Kraiev Maksym 
Published: February 2023

Abstract
The tensile test of steels St3 (GOST 380 − 94) and 40X (GOST 4543 − 2016) in an external constant magnetic field with an induction of 1,2 T was performed. Deformation energy absorption is a manifestation of the magnetoplastic effect. The similarity of the action of a magnetic field in tensile testing of samples and in the study of classical magnetic resonance is described. A new method for analyzing the magnetoplasticity of bulk samples by analogy with the construction of the energy absorption spectrum at magnetic resonance has been applied. The energy absorption spectrum is plotted in the coordinates of the metal flow stress – dislocation density. The characteristics of the spectrum line are determined: its depth as the value of the absolute decrease in the metal flow stress, as well as its width according to the FWHM (Full With at Half Maximum) value.
Living Alone or Together: Effect of Social Benefits
Authors: de Mahieu Antoine 
Published: February 2023

Abstract

In most European countries, poor cohabiting adults are eligible to lower per capita social assistance benefits than poor adults living alone, as they are supposed to benefit from economies of scale in household expenses as housing, heating costs, etc. In this paper, we show that this aspect of social assistance varies strongly within Europe and use this variation to identify a possible causality of social assistance scheme parameters on cohabitation decisions. Our statistical analysis, that focuses on childless adults, suggests that high benefits for cohabitants decrease the number of poor one-person households significantly. We then discuss how this result affects government expenses on social assistance and the related policy implications. Lastly, we estimate the marginal cost of marginally increasing the benefits for cohabitants in the different European countries, and show that it is close to zero for some countries with strongly differentiated rates and a low initial share of cohabitants among the socially assisted.
JEL: J12, J18
Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other Large Language Models in scholarly peer review
Authors: Hosseini Mohammad , Horbach Serge P.J.M. 
Published: February 2023

Abstract
Background:
The emergence of systems based on large language models (LLMs) such as OpenAI’s ChatGPT has created a range of discussions in scholarly circles. Since LLMs generate grammatically correct and mostly relevant (yet sometimes outright wrong, irrelevant or biased) outputs in response to provided prompts, using them in various writing tasks including writing peer review reports could result in improved productivity. Given the significance of peer reviews in the existing scholarly publication landscape, exploring challenges and opportunities of using LLMs in peer review seems urgent. After the generation of the first scholarly outputs with LLMs, we anticipate that peer review reports too would be generated with the help of these systems. However, there are currently no guidelines on how these systems should be used in review tasks.
Methods:
To investigate the potential impact of using LLMs on the peer review process, we used five core themes within discussions about peer review suggested by Tennant and Ross-Hellauer. These include 1) reviewers’ role, 2) editors’ role, 3) functions and quality of peer reviews, 4) reproducibility, and 5) the social and epistemic functions of peer reviews. We provide a small-scale exploration of ChatGPT’s performance regarding identified issues.
Results:
LLMs have the potential to substantially alter the role of both peer reviewers and editors. Through supporting both actors in efficiently writing constructive reports or decision letters, LLMs can facilitate higher quality review and address issues of review shortage. However, the fundamental opacity of LLMs’ inner workings and development, raise questions and concerns about potential biases and the reliability of review reports. Additionally, as editorial work has a prominent function in defining and shaping epistemic communities, as well as negotiating normative frameworks within such communities, partly outsourcing this work to LLMs might have unforeseen consequences for social and epistemic relations within academia. Regarding performance, we identified major enhancements in only a few weeks (between December 2022 and January 2023) and expect ChatGPT to continue improving.
Conclusions:
We believe that LLMs are likely to have a profound impact on academia and scholarly communication. While they have the potential to address several current issues within the scholarly communication system, many uncertainties remain and their use is not without risks. In particular, concerns about the amplification of existing biases and inequalities in access to appropriate infrastructure warrant further attention. For the moment, we recommend that if LLMs are used to write scholarly reviews, reviewers should disclose their use and accept full responsibility for their reports’ accuracy, tone, reasoning and originality.
Implementation of evidence-based primary cancer prevention interventions in MA community health centers: an explanatory sequential mixed methods study
Authors: LEE REBEKKA M , Daly James G , Mallick Kamini , Ramanadhan Shoba , Torres Cristina Huebner , Hayes Cassidy R , Manuel Alyssa , Nalls Ra’Shaun , Emmons Karen M 
Published: February 2023

Abstract
Background
More than half of cancers could be prevented by employing evidence-based interventions (EBIs), including prevention interventions targeting nutrition, physical activity, and tobacco. Federally qualified health centers (FQHCs) are the primary source of patient care for over 30 million Americans – making them an optimal setting for ensuring evidence-based prevention that advances health equity. The aims of this study are to: 1) determine the degree to which primary cancer prevention EBIs are being implemented within Massachusetts FQHCs and 2) describe how these EBIs are implemented internally and via community partnerships.
Methods
We used an explanatory sequential mixed methods design to assess the implementation of cancer prevention EBIs. First, we used quantitative surveys of FQHC staff to determine the frequency of EBI implementation. We followed up with qualitative one-on-one interviews among a sample of staff to understand how the EBIs selected on the survey were implemented. Exploration of contextual influences on implementation and use of partnerships was guided by the Consolidated Framework for Implementation Research (CFIR). Quantitative data were summarized descriptively, and qualitative analyses used reflexive, thematic approaches, beginning deductively with codes from CFIR, then inductively coding additional categories.
Results
All FQHCs indicated they offered clinic-based tobacco interventions, such as clinician-delivered screening practices and prescription of tobacco cessation medications. Quitline interventions and some diet/physical activity EBIs were available at all FQHCs, but staff perceptions of penetration were low. Only 38% of FQHCs offered group tobacco cessation counseling and 63% referred patients to mobile phone-based cessation interventions. We found multilevel factors influenced implementation across intervention types – including the complexity of intervention trainings, available time and staffing, motivation of clinicians, funding, and external policies and incentives. While partnerships were described as valuable, only one FQHC reported using clinical-community linkages for primary cancer prevention EBIs.
Conclusions
Adoption of primary prevention EBIs in Massachusetts FQHCs is relatively high, but stable staffing and funding are required to successfully reach all eligible patients. FQHC staff are enthusiastic about the potential of community partnerships to foster improved implementation - providing training and support to build these relationships will be key to fulfilling that promise.
MRI analysis of gallbladder changes with gestational weeks between fetuses with type I congenital choledochal cyst and healthy fetuses
Authors: Gao Duo , Jia Linyi , Zheng Jianxiong , Li Yingchao , Zhang Chengxiang , Cao Yimin , Yi Zexi , Geng Zuojun , Zhou Lixia 
Published: February 2023

Abstract
Purpose
To retrospectively analyze the prenatal MRI image characteristics of fetuses with type I congenital choledochal cyst and healthy fetuses, and to clarify the changes of gallbladder with gestational weeks.
Methods
We retrospectively reviewed prenatal MRI features of healthy fetuses and fetuses with type I choledochal cysts confirmed by operation after birth from January 2018 to March 2022. Clinical data and image findings (the maximum transverse and longitudinal diameters of gallbladder, liver and spleen, the diameters of choledochal cysts at transverse, coronal and sagittal planes and the maximum diameters of portal vein) were recorded. The features in two groups were then analyzed.
Results
A total of 139 fetuses were included, 100 in the healthy fetuses and 39 in the type I choledochal cysts. We found a nonlinear relationship between gestational weeks and gallbladder size with two inflection points of 27 and 34 in fetuses with type I choledochal cyst, after adjusting for potential confounders. In normal fetuses, however, the relationship is linear.
Conclusions
The relationship between gestational weeks and gallbladder size is non-linear in fetuses with type I choledochal cyst, with gallbladder size shrinking and spleen enlargement compared to healthy fetuses.
Dielectric properties of (1‑x) PbMg1/3Nb2/3 O3 ‑ (x) AlBiO3 ceramic nanomaterials
Authors: Legesse Kebede , Elangovan Sampandam 
Published: February 2023

Abstract
Dielectric materials are electrical insulators that can be polarized by temperature, pressure, and applied electric field. Dielectric typically means materials with a high polarisability. In this study, temperature and frequency effects on lead magnesium niobate – Aluminium Bismuthate (1x) PbMg1/3Nb2/3 O3 (x) AlBiO3 solid solution ceramics with the compositions (x = 0.1, 0.2, and 0.3 were discussed. The ceramic composites were synthesized by the solid-state reaction method. The temperature and frequency-dependent dielectric properties were studied using the complex impedance spectroscopic method at various temperatures and applied frequencies. Real and imaginary parts of the dielectric constants were determined as a function of temperature and frequency. The dielectric constant of (1x) PbMg1/3Nb2/3 O3 (x) AlBiO3 ceramics, increased with increasing the temperature and AlBiO3 concentrations. The maximum value of dielectric constant (Tm) was obtained at 86oC with the frequency of 1kHz at the composition x = 0.3. The systematic analysis of dielectric property suggested that the (1x) PbMg1/3Nb2/3 O3 (x) AlBiO3 with x = 0.1, 0.2, and 0.3 ceramics are anticipated as one of the useful low lead electronic materials. Furthermore, the dielectric constant of the composites can be varied by their composition, temperature, and ac-biased field.
Soaking time effect on the structural and dielectric properties of microwave sintered cobalt ferrite nanomaterials
Authors: Goswami Abhinava , Pukhram Sonica , Soibam Ibetombi 
Published: February 2023

Abstract
Auto-combustion method was employed to synthesize cobalt ferrite nanopowders having structural formula CoFe2O4. Then the as-prepared sample was calcined at 600°C in a microwave furnace for 30 minutes at 5°C/min heating rate. The calcined sample was given microwave sintering at 700°C at the same heating rate for three different soaking time viz. 2 hours, 4 hours and 6 hours. Phase confirmation of the sintered samples was done using XRD data. The presence of metal oxide bonds in the samples was confirmed by FTIR spectra. From the XRD spectra, crystallite sizes, lattice constants, theoretical densities and porosities of the samples were found out. Dielectric properties such as dielectric constant, dielectric loss, impedance and ac conductivity of all the samples were studied using Agilent LCR meter in the frequency ranging from 20 Hz to 2 MHz. Variation of dielectric constant and dielectric loss with frequency showed normal dispersive behaviour of ferrites which can be explained using the Maxwell-Wagner model. With increasing soaking time, the dielectric loss increased but the opposite trend was observed for the dielectric constant at the higher frequency region. As the frequency increased, the ac conductivity of the samples increased owing to enhanced hopping of electrons between cations. Impedance values of the samples were found to decrease slightly in the low-frequency region and swift decrease in the high-frequency region. Soaking time effects on the ac conductivity were also reported.
Use of Qualitative Tools for Evaluating the Implementation of Green Design in Industries
Authors: Casqueiro Renata Alves , de Almeida Giovana Giarola , Poltronieri Camila Fabrício , Hoelzel Carlos Gustavo Martins , Severino Maico Roris 
Published: February 2023

Abstract
The emergence of major environmental impacts caused by industrial activities can be observed, which generates great pressure for the adoption of more sustainable practices in companies. One of the alternatives for this is the Green Supply Chain Management (GSCM), composed of various practices, one of them being Green Design (GD). Analyzing the current state of the literature on this topic, it is observed that the studies, for the most part, approach the creation of implementation or evaluation indicators for GD and few deal with them in a combined and easily applicable way. Thus, a gap is perceived with regard to proving the possibility of incorporating sustainable aspects into industrial products and processes through the application of GD using non-complex qualitative tools. Therefore, the overall objective of this research is to analyze the feasibility of applying GD in industries using this type of tool. To this end, a literature review on GD was carried out, from which a qualitative tool focused on its implementation and evaluation was identified. Then a case study was developed in an industry, and, for each indicator of the chosen tool, a general analysis of the content was carried out and then suggestions for improvements in the processes and product analyzed were presented. With this, it was possible to highlight that the applied tool allows sustainable practices related to GD to be implemented and evaluated in industrial scenarios of any branch, due to the generic character of the indicators.
Lightweight integration of a data cache for opportunistic usage of HPC resources in HEP workflows
Authors: Sammel Dirk , Boehler Michael , Gamel Anton Josef , Schumacher Markus 
Published: February 2023

Abstract
A data caching setup has been implemented for the High Energy Physics (HEP) computing infrastructure in Freiburg, Germany, as a possible alternative to local long-term storage. Files are automatically cached on disk upon first request by a client, can be accessed from cache for subsequent requests, and are deleted after predefined conditions are met. The required components are provided to a dedicated HEP cluster, and, via virtual research environments, to the opportunistically used High-Performance Computing (HPC) Cluster NEMO (Neuroscience, Elementary Particle Physics, Microsystems Engineering and Materials Science). A typical HEP workflow has been implemented as benchmark test to identify any overhead introduced by the caching setup with respect to direct, non-cached data access, and to compare the performance of cached and non-cached access to several external files sources. The results indicate no significant overhead in the workflow and faster file access with the caching setup, especially for geographically distant file sources. Additionally, the hardware requirements for various numbers of parallel file requests were measured for estimating future requirements.
Identification of Cuproptosis-related key genes in seminoma using machine learning and Weighted Gene Co-expression Networks analyses
Authors: Cui Yankang , Fang Bo , Zhang Jing , Bu Hengtao , Shen Tianyi , Wang Suchun , Yi Xiaoming , Shi Changjie , Tang Hao , He Haowei , Ge Jingping , Xu Feng , Shang Xuejun 
Published: February 2023

Abstract
Background: Cuproptosis is a novel form of programmed cell death which induced by copper. The special histology markers for diagnosing seminoma have not gained development in recent years.
Results: A total of 165 normal testes and 78 seminoma samples were included in this study. After WGCNA analyses, 185 genes were intersected in seminoma and cluster characteristics module gene sets. The hub-genes of the 4 machine learning methods (FAM149B1, ARL6IP4, and RNASEH2B) displayed the highest area under curve (AUC=1). The expression of the 3 hub-genes were all down-regulated in seminoma. The nomogram based on the 3 hub-genes displayed satisfactory performance on diagnosing seminoma, according to calibration curve and decision curve analysis. Additionally, the results of the ROC analyses, using staining intensity, indicated that the combination of the 3 hub-genes showed the highest specificity and sensitivity (AUC=0.964, 95%Cl=0.895-1.000) for diagnosing seminoma.
Conclusion: This is the first study using interactive and comprehensive bioinformatic methods to investigate the special markers for diagnosing seminoma from the perspective of Cuproptosis. The 3 hub-genes (FAM149B1, ARL6IP4, and RNASEH2B) were all down-regulated in seminoma. The three-gene model for the cytological diagnosis of indeterminate seminoma is both feasible and promising. Implementation of this as an adjunct to testis cytology may significantly impact the clinical management of patients with suspicious or indeterminate testicular lesions.