bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early modulations of neural oscillations during the processing of emotional body language
Authors: Botta Alessandro , Zhao Mingqi , Samogin Jessica , Pelosin Elisa , Bonassi Gaia , Lagravinese Giovanna , Mantini Dante , Avenanti Alessio , Avanzino Laura 
Published: September 2023

AbstractThe processing of threat‐related emotional body language (EBL) has been shown to engage sensorimotor cortical areas early on and induce freezing in the observers' motor system, particularly when observing fearful EBL. To provide insights into the interplay between somatosensory and motor areas during observation of EBL, here, we used high‐density electroencephalography (hd‐EEG) in healthy humans while they observed EBL stimuli involving fearful and neutral expressions. To capture early sensorimotor brain response, we focused on P100 fronto‐central event‐related potentials (ERPs) and event‐related desynchronization/synchronization (ERD/ERS) in the mu‐alpha (8–13 Hz) and lower beta (13–20 Hz) bands over the primary motor (M1) and somatosensory (S1) cortices. Source‐level ERP and ERD/ERS analyses were conducted using eLORETA. Results revealed higher P100 amplitudes in motor and premotor channels for ‘Neutral’ compared with ‘Fear’. Additionally, analysis of ERD/ERS showed increased beta band desynchronization in M1 for ‘Neutral’, and the opposite pattern in S1. Source‐level estimation showed significant differences between conditions mainly observed in the beta band over sensorimotor areas. These findings provide high‐temporal resolution evidence suggesting that seeing fearful EBL induces early activation of somatosensory areas, which in turn could suppress M1 activity. These findings highlight early dynamics within the observer's sensorimotor system and hint at a sensorimotor mechanism supporting freezing during the processing of EBL.
A note of caution on the relation between money growth and inflation
Authors: Berger Helge , Karlsson Sune , Österholm Pär 
Published: September 2023

AbstractWe assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid time‐varying parameter Bayesian VAR models. Model selection based on marginal likelihoods suggests that the relation is statistically unstable across time in both regions. The effect of money growth on inflation weakened notably after the 1980s before strengthening after 2020. There is evidence that this time variation is related to the pace of price changes, as we find that the maximum impact of money growth on inflation is increasing in the trend level of inflation. These results caution against asserting a simple, time‐invariant relationship when modeling the joint dynamics of monetary aggregates and consumer prices.
Conserved functions of chromatin regulators in basal Archaeplastida
Authors: Kerckhofs Elise , Schubert Daniel 
Published: September 2023

SUMMARYChromatin is a dynamic network that regulates genome organization and gene expression. Different types of chromatin regulators are highly conserved among Archaeplastida, including unicellular algae, while some chromatin genes are only present in land plant genomes. Here, we review recent advances in understanding the function of conserved chromatin factors in basal land plants and algae. We focus on the role of Polycomb‐group genes which mediate H3K27me3‐based silencing and play a role in balancing gene dosage and regulating haploid‐to‐diploid transitions by tissue‐specific repression of the transcription factors KNOX and BELL in many representatives of the green lineage. Moreover, H3K27me3 predominantly occupies repetitive elements which can lead to their silencing in a unicellular alga and basal land plants, while it covers mostly protein‐coding genes in higher land plants. In addition, we discuss the role of nuclear matrix constituent proteins as putative functional lamin analogs that are highly conserved among land plants and might have an ancestral function in stress response regulation. In summary, our review highlights the importance of studying chromatin regulation in a wide range of organisms in the Archaeplastida.
Analysis of >3400 worldwide eggplant accessions reveals two independent domestication events and multiple migration‐diversification routes
Authors: Barchi Lorenzo , Aprea Giuseppe , Rabanus‐Wallace M. Timothy , Toppino Laura , Alonso David , Portis Ezio , Lanteri Sergio , Gaccione Luciana , Omondi Emmanuel , van Zonneveld Maarten , Schafleitner Roland , Ferrante Paola , Börner Andreas , Stein Nils , Díez Maria José , Lefebvre Veronique , Salinier Jérémy , Boyaci Hatice Filiz , Finkers Richard , Brouwer Matthijs , Bovy Arnaud G. , Rotino Giuseppe Leonardo , Prohens Jaime , Giuliano Giovanni 
Published: September 2023

SUMMARYEggplant (Solanum melongena) is an important Solanaceous crop, widely cultivated and consumed in Asia, the Mediterranean basin, and Southeast Europe. Its domestication centers and migration and diversification routes are still a matter of debate. We report the largest georeferenced and genotyped collection to this date for eggplant and its wild relatives, consisting of 3499 accessions from seven worldwide genebanks, originating from 105 countries in five continents. The combination of genotypic and passport data points to the existence of at least two main centers of domestication, in Southeast Asia and the Indian subcontinent, with limited genetic exchange between them. The wild and weedy eggplant ancestor S. insanum shows admixture with domesticated S. melongena, similar to what was described for other fruit‐bearing Solanaceous crops such as tomato and pepper and their wild ancestors. After domestication, migration and admixture of eggplant populations from different regions have been less conspicuous with respect to tomato and pepper, thus better preserving ‘local’ phenotypic characteristics. The data allowed the identification of misclassified and putatively duplicated accessions, facilitating genebank management. All the genetic, phenotypic, and passport data have been deposited in the Open Access G2P‐SOL database, and constitute an invaluable resource for understanding the domestication, migration and diversification of this cosmopolitan vegetable.
The Soybean Expression Atlas v2: A comprehensive database of over 5000 RNA‐seq samples
Authors: Almeida‐Silva Fabricio , Pedrosa‐Silva Francisnei , Venancio Thiago M. 
Published: September 2023

SUMMARYSoybean is a crucial crop worldwide, used as a source of food, feed, and industrial products due to its high protein and oil content. Previously, the rapid accumulation of soybean RNA‐seq data in public databases and the computational challenges of processing raw RNA‐seq data motivated us to develop the Soybean Expression Atlas, a gene expression database of over a thousand RNA‐seq samples. Over the past few years, our database has allowed researchers to explore the expression profiles of important gene families, discover genes associated with agronomic traits, and understand the transcriptional dynamics of cellular processes. Here, we present the Soybean Expression Atlas v2, an updated version of our database with a fourfold increase in the number of samples, featuring transcript‐ and gene‐level transcript abundance matrices for 5481 publicly available RNA‐seq samples. New features in our database include the availability of transcript‐level abundance estimates and equivalence classes to explore differential transcript usage, abundance estimates in bias‐corrected counts to increase the accuracy of differential gene expression analyses, a new web interface with improved data visualization and user experience, and a reproducible and scalable pipeline available as an R package. The Soybean Expression Atlas v2 is available at https://soyatlas.venanciogroup.uenf.br/, and it will accelerate soybean research, empowering researchers with high‐quality and easily accessible gene expression data.
Experiences of baccalaureate nursing students in preceptorship during the COVID-19 pandemic: a systematic review protocol
Authors: Thomas Denise , Su Michelle , Walter Madelayne , Zakher Bernadette 
Published: September 2023

Objective:The objective of this review is to appraise and synthesize current evidence of the clinical experiences of baccalaureate nursing students in preceptorship during the COVID-19 pandemic.Introduction:Nursing education programs support quality clinical practice learning experiences, which are essential for preparing students for both the current and future workforce. The COVID-19 pandemic has drastically changed the health care system and, previous estimates of the global shortage of nurses have now almost doubled. Understanding nursing students’ clinical experiences during the pandemic can assist with identifying the needs of the future workforce. Nursing students complete the final practicum, also known as the last clinical, internship, or preceptorship, before they are eligible to apply for licensure. This review seeks to explore these pre-transitional, unprecedented preceptorship experiences during COVID-19 to better understand how to prepare pre-licensure nurses for the altered workforce.Inclusion criteria:This review will include qualitative studies that address the clinical experiences of undergraduate nursing students in preceptorship during the COVID-19 pandemic from 2020 until the present.Methods:The databases to be searched will include CINAHL, MEDLINE, ERIC, Google Scholar, and Embase. Reference lists of included studies will be reviewed to identify additional studies. Gray literature will be searched for via ProQuest Dissertations and Theses, Google, and GreyNet International. Unpublished studies will be searched for on websites, including those of national associations of nursing. Study selection, critical appraisal, data extraction, and data synthesis will be performed independently by 2 reviewers. The findings will be collated using meta-aggregation to produce comprehensive synthesized findings and a ConQual Summary of Findings.Review registration:PROSPERO CRD42022328303
Lower Extremity Injury Risk Curve Development for a Human Body Model in the Underbody Blast Environment
Authors: Hostetler Zachary S. , Gayzik F. Scott 
Published: September 2023

Abstract
Computational human body models (HBMs) provide the ability to explore numerous candidate injury metrics ranging from local strain based criteria to global combined criteria such as the Tibia Index. Despite these efforts, there have been relatively few studies that focus on determining predicted injury risk from HBMs based on observed postmortem human subjects (PMHS) injury data. Additionally, HBMs provide an opportunity to construct risk curves using measures that are difficult or impossible to obtain experimentally. The Global Human Body Models Consortium (GHBMC) M50-O v 6.0 lower extremity was simulated in 181 different loading conditions based on previous PMHS tests in the underbody blast (UBB) environment and 43 different biomechanical metrics were output. The Brier Metric Score were used to determine the most appropriate metric for injury risk curve development. Using survival analysis, three different injury risk curves (IRC) were developed: “any injury,” “calcaneus injury,” and “tibia injury.” For each injury risk curve, the top three metrics selected using the Brier Metric Score were tested for significant covariates including boot use and posture. The best performing metric for the “any injury,” “calcaneus injury” and “tibia injury” cases were calcaneus strain, calcaneus force, and lower tibia force, respectively. For the six different injury risk curves where covariates were considered, the presence of the boot was found to be a significant covariate reducing injury risk in five out of six cases. Posture was significant for only one curve. The injury risk curves developed from this study can serve as a baseline for model injury prediction, personal protective equipment (PPE) evaluation, and can aid in larger scale testing and experimental protocols.
Comparisons of Overall Performance Among Double-Jet Film Cooling Holes, Cylinder Holes, and Fan-Shaped Holes
Authors: Lei Jiang , Yao Jiaxu , He Jianhong , Yang Xi , Zhang Ke , Wright Lesley M. 
Published: September 2023

Abstract
In this paper, the film-cooling effectiveness (η) and heat transfer coefficient (h) of different film hole geometries are investigated, including double-jet film cooling (DJFC) holes, streamwise cylindrical holes, and fan-shaped holes, both experimentally and numerically. Results reveal that when the blowing ratio is less than 1.0, the DJFC holes have the highest η and the highest h, as well as the highest net heat flux reduction (NHFR). However, a higher blowing ratio (&gt;1.0) leads to a quickly decreasing NHFR of DJFC holes. The asymmetric antikidney vortex and the high turbulent kinetic energy (TKE) are dominant in the performance of the DJFC holes. Owing to medium effectiveness and the lowest heat transfer coefficient, the fan-shaped holes possess the highest net heat flux reduction at M = 2.0 although the value is negative. The relatively weak kidney vortex and the low TKE can explain the phenomena. The cylindrical holes have the lowest η and the lowest NHFR due to the kidney vortex and relatively higher TKE.
Battery Thermal Management System on Trapezoidal Battery Pack With Liquid Cooling System Utilizing Phase Change Material
Authors: Masthan Vali P. S. N. , Murali G. 
Published: September 2023

Abstract
Electric vehicles (EVs) have grown in popularity in recent years due to their environmental friendliness and the potential scarcity of fossil fuels. Lithium-ion batteries (LIBs) are commonly utilized in EVs and hybrid electric vehicles (HEVs). They have a high specific charge, a high density of power, and a long life. A revolutionary design of a trapezoidal battery pack with a liquid cooling system based on composite phase change material (CPCM) is proposed in this research. The phase change material (PCM) is paraffin wax (PA), and the high thermal conductivity particles are graphite powder (GSP). CPCM is made in three different compositions and is filled in between cells with a 5 mm gap. Because PCM has a low thermal conductivity, it is filled with GSP, a high thermal conductive particle. The thermal conductivity is increased from 0.25 to 2.7 W/m K, which increases the heat transfer rate significantly. By adjusting different coolant flow velocities at varied discharge rates, the performance of the battery pack is examined. During the experiment, the discharge rates of 1 C, 2 C, and 3 C were used at a 28–30 °C ambient temperature. According to the findings, a trapezoidal battery pack based on CPCM exhibits a more efficient rate of heat transfer than a battery pack based on PCM. Moreover, BTMS with a liquid cooling system achieves consistent temperature distribution, with the maximum temperature remaining within the ideal range of below 45 °C under all test conditions.
A Computationally Efficient Method for the Thermo-Structural Analysis of a Turbocharger Turbine Wheel Under Engine Transient Operation
Authors: Balduzzi Francesco , Catalani Iacopo , Pini Nicola , Mosciaro Luigi , Mattiello Daniele , Rabbolini Silvio , Hoffer Pierre-Alain , Bianchini Alessandro , Ferrara Giovanni 
Published: September 2023

Abstract
The accurate evaluation of thermally-induced stresses is of particular importance for life-cycle analysis of modern turbochargers. Conjugated heat transfer (CHT), steady-state calculations represent the state-of-the-art, whose temperature distribution is usually imported into a structural solver as a thermal load for carrying out thermo-structural analyses. In the case of transient analyses, however, issues arise. Indeed, due to the different timescales of convective and conductive heat-transfer mechanisms, unsteady CHT simulations are burdened by high computational costs. Moreover, in the specific case of turbocharged engines, the timescales of engine load transients and turbocharger response may differ by a factor of up to 105. The present study proposes an approach for carrying out transient thermo-structural analyses of the solid domain only, characterized by a physical time in the order of 101 s, without the need for unsteady fluid flow calculations, which would imply the use of a solver time-step in the order of 10−5 s. In the proposed methodology, the effects of the fluid flow in the heat-transfer process are modeled by imposing adequate boundary conditions to wet surfaces of the solid domain with minimum computational effort. Indeed, by performing two steady-state CHT calculations and one steady-state computational fluid dynamics (CFD) calculation, time-dependent boundary conditions can be derived in terms of convective heat transfer coefficient and near-wall fluid temperature. The case study used for model development is a high-performance turbocharger turbine for automotive applications, responding to engine load transients of tenths of seconds. Initially, steady-state CFD and CHT models of the turbine stage are validated against experimental data. Then, transient analyses on the turbine wheel are carried out, and their results are imported as thermal loads into an unsteady structural solver, allowing for accurate transient thermo-structural analyses at sustainable computational cost.
Burst Speed Prediction of Impellers With Critical Strain Criteria
Authors: Sarıten Alper , Tabakçı Burak , Çopur Furkan , Kutmaral Alican , Akpınar İlkan Hasan 
Published: September 2023

Abstract
Accurate prediction of burst speed and critical location of a rotating disk is a great concern for turbomachinery designers and enables the reduction of test numbers required to show rotor integrity during turbo-engine certification. Existing burst methodologies mainly focused on axial disks with well-defined bore, web, and rim regions and mostly depended on correction factors that require previous test data of rotors with similar sizes and features. Furthermore, variation of radial and hoop stresses in a radial disk is less predictable than in axial disks due to the asymmetric nature of impellers, which results in uneven distribution of centrifugal and bending loads. This paper aims to explain the experimental and numerical effort dedicated to building an accurate burst methodology for impellers. Elastoplastic finite element analyses are performed by incorporating geometric and material nonlinearities. Analysis results allowed the prediction of failure locations and observation of redistribution of stresses due to material plasticity as rotor speed increases. An extensive test campaign is carried out to validate the numerical analysis. Critical strain criteria that correspond to the plastic strain of true ultimate tensile strength (UTS), are used to determine burst speeds before tests. Experimental results are compared with Robinson's average hoop stress criteria, Hallinan's criteria, and critical strain criteria to show the strong and weak sides of these methodologies for an impeller application. The numerical burst speeds and crack initiation locations associated with critical strain criteria are found to be in good agreement with the spin test results.
A small-molecule membrane fluidizer re-sensitizes methicillin-resistant
Staphylococcus aureus
(MRSA) to β-lactam antibiotics
Authors: Podoll Jessica D. , Rosen Emma , Wang Wei , Gao Yuefeng , Zhang Jing , Wang Xiang 
Published: September 2023

ABSTRACT

Novel antibacterial agents and strategies are urgently needed to fight against the ongoing global antibiotic resistance problem. While natural products remain the main source in antibiotic discovery, synthetic antibacterials provide an attractive alternative and may evade the ancient antibiotic resistance. Herein, we report a small molecule that re-sensitizes methicillin-resistant
Staphylococcus aureus
to β-lactam antibiotics with extremely low potential for resistance development. It belongs to a new class of broad-spectrum antibacterials, trypyricins, which share similar structural characteristics and mechanism of action to the cationic antimicrobial peptides. Mechanistic studies indicated that trypyricins fluidize and disrupt bacterial cytoplasmic membrane. These results suggested that trypyricins represent a promising new class of antibacterials and may be further developed as antibiotic adjuvants to fight against resistant bacteria in the clinic.
An improved PKPD modeling approach to characterize the pharmacodynamic interaction over time between ceftazidime/avibactam and colistin from
in vitro
time-kill experiments against multidrug-resistant
Klebsiella pneumoniae
isolates
Authors: Aubry Romain , Buyck Julien , Prouvensier Laure , Decousser Jean-Winoc , Nordmann Patrice , Wicha Sebastian G. , Marchand Sandrine , Grégoire Nicolas 
Published: September 2023

ABSTRACT

In contrast to the checkerboard method, bactericidal experiments [time-kill curves (TKCs)] allow an assessment of pharmacodynamic (PD) interactions over time. However, TKCs in combination pose interpretation problems. The objective of this study was to characterize the PD interaction over time between ceftazidime/avibactam (CZA) and colistin (CST) using TKC against four multidrug-resistant
Klebsiella pneumoniae
susceptible to both antibiotics and expressing a widespread carbapenemase determinant KPC-3.
In vitro
TKCs were performed and analyzed using pharmacokinetic/pharmacodynamic (PKPD) modeling. The general pharmacodynamic interaction model was used to characterize PD interactions between drugs. The 95% confidence intervals (95%CIs) of the expected additivity and of the observed interaction were built using parametric bootstraps and compared to evaluate the
in vitro
PD interaction over time. Further simulations were conducted to investigate the effect of the combination at varying concentrations typically observed in patients. Regrowth was observed in TKCs at high concentrations of drugs alone [from 4 to 32× minimum inhibitory concentrations (MIC)], while the combination systematically prevented the regrowth at concentrations close to the MIC. Significant synergy or antagonism were observed under specific conditions but overall 95%CIs overlapped widely over time indicating an additive interaction between antibiotics. Moreover, simulations of typical PK profile at standard dosages indicated that the interaction should be additive in clinical conditions. The nature of the PD interaction varied with time and concentration in TKC. Against the four
K. pneumoniae
isolates, the bactericidal effect of CZA + CST combination was predicted to be additive and to prevent the emergence of resistance at clinical concentrations.