bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the role of Acinetobacter baumannii plasmid types in disseminating antimicrobial resistance
Authors: Lam Margaret M. C. , Hamidian Mehrad 
Published: January 2024

AbstractAcinetobacter baumannii is a Gram-negative pathogen responsible for hospital-acquired infections with high levels of antimicrobial resistance (AMR). The spread of multidrug-resistant A. baumannii strains has become a global concern. Spread of AMR in A. baumannii is primarily mediated by the acquisition of AMR genes through mobile genetic elements, such as plasmids. Thus, a comprehensive understanding of the role of different plasmid types in disseminating AMR genes is essential. Here, we analysed the distribution of plasmid types, sampling sources, geographic locations, and AMR genes carried on A. baumannii plasmids. A collection of 813 complete plasmid entries was collated and analysed. We previously devised an Acinetobacter Plasmid Typing (APT) scheme where rep types were defined using 95% nucleotide identity and updated the scheme in this study by adding 12 new rep/Rep types (90 types in total). The APT scheme now includes 178 unique Rep variants belonging to three families: R1, R3, and RP. R1-type plasmids were mainly associated with global clone 1 strains, while R3-type plasmids were highly diverse and carried a variety of AMR determinants including carbapenem, aminoglycoside and colistin resistance genes. Similarly, RP-type and rep-less plasmids were identified as important carriers of aminoglycoside and carbapenem resistance genes. This study provides a comprehensive overview of the distribution and characteristics of A. baumannii plasmids, shedding light on their role in the dissemination of AMR genes. The updated APT scheme and findings enhance our understanding of the molecular epidemiology of A. baumannii and provide valuable insights for surveillance and control strategies.
Cross-partisan discussions reduced political polarization between UK voters, but less so when they disagreed
Authors: de Jong Jona F. 
Published: January 2024

AbstractCan brief, unmoderated cross-partisan discussions reduce political polarization, even when partisans disagree on the issue under discussion? This article reports results from an experiment that matched 582 UK Labour and Conservative party voters for a ten-minute, unmoderated chat discussion about a contentious issue in a wait-list control design. Issue disagreement between discussing partisans randomly varied, and was visible throughout the discussion. Results show that after the discussion, out-partisan sympathy and willingness to have cross-partisan discussions increased. There was no statistically significant effect on opinions. The effect on sympathy was lower when partisans’ issue opinions were further apart. Treatment effects correlate with reported experiences of perspective-getting, inclusion in the discussion, commonality and reduced misperceptions. Conservative respondents about to discuss immigration softened their views just prior to the discussion.
DDX5 inhibits inflammation by modulating m6A levels of TLR2/4 transcripts during bacterial infection
Authors: Xu Jian , Liu Li-Yuan , Zhi Fei-Jie , Song Yin-Juan , Zhang Zi-Hui , Li Bin , Zheng Fu-Ying , Gao Peng-Cheng , Zhang Su-Zi , Zhang Yu-Yu , Zhang Ying , Qiu Ying , Jiang Bo , Li Yong-Qing , Peng Chen , Chu Yue-Feng 
Published: January 2024

AbstractDExD/H-box helicases are crucial regulators of RNA metabolism and antiviral innate immune responses; however, their role in bacteria-induced inflammation remains unclear. Here, we report that DDX5 interacts with METTL3 and METTL14 to form an m6A writing complex, which adds N6-methyladenosine to transcripts of toll-like receptor (TLR) 2 and TLR4, promoting their decay via YTHDF2-mediated RNA degradation, resulting in reduced expression of TLR2/4. Upon bacterial infection, DDX5 is recruited to Hrd1 at the endoplasmic reticulum in an MyD88-dependent manner and is degraded by the ubiquitin-proteasome pathway. This process disrupts the DDX5 m6A writing complex and halts m6A modification as well as degradation of TLR2/4 mRNAs, thereby promoting the expression of TLR2 and TLR4 and downstream NF-κB activation. The role of DDX5 in regulating inflammation is also validated in vivo, as DDX5- and METTL3-KO mice exhibit enhanced expression of inflammatory cytokines. Our findings show that DDX5 acts as a molecular switch to regulate inflammation during bacterial infection and shed light on mechanisms of quiescent inflammation during homeostasis.
Bile salt signaling and bile salt-based therapies in cardiometabolic disease
Authors: Groenen Claire C.J. , Nguyen Thuc-Anh , Paulusma Coen C. , van de Graaf Stan F.J. 
Published: January 2024

Abstract
Bile salts have an established role in the emulsification and intestinal absorption of dietary lipids, and their homeostasis is tightly controlled by various transporters and regulators in the enterohepatic circulation. Notably, emerging evidence points toward bile salts as major modulators of cardiometabolic disease (CMD), an umbrella disease of disorders affecting the heart and blood vessels that is caused by systemic metabolic diseases such as Type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated steatotic liver disease (MASLD), the latter encompassing also metabolic dysfunction-associated steatohepatitis (MASH). The underlying mechanisms of protective effects of bile salts are their hormonal properties, enabling them to exert versatile metabolic effects by activating various bile salt-responsive signaling receptors with the nuclear farnesoid X receptor (FXR) and the Takeda G-protein-coupled receptor 5 (TGR5) as most extensively investigated. Activation of FXR and TGR5 is involved in the regulation of glucose, lipid and energy metabolism, and inflammation. Bile salt-based therapies directly targeting FXR and TGR5 signaling have been evaluated for their therapeutic potential in CMD. More recently, therapeutics targeting bile salt transporters thereby modulating bile salt localization, dynamics, and signaling, have been developed and evaluated in CMD. Here, we discuss the current knowledge on the contribution of bile salt signaling in the pathogenesis of CMD and the potential of bile salt-based therapies for the treatment of CMD.
Identifying Spatial Neglect in Chronic Right Hemisphere Stroke Survivors Using the RHDBank Outcomes
Authors: Minga Jamila , Rich Timothy , Boukrina Olga , Chen Peii , Hreha Kimberly 
Published: January 2024

Purpose:
The chronicity of spatial neglect (SN) and the utility of existing diagnostic measures used by speech-language pathologists remain poorly understood. In this retrospective study, we examined how the RHDBank test battery informs the identification of SN after right hemisphere brain damage (RHD) during the chronic phase of recovery.

Method:
Data from 29 right hemisphere stroke survivors were extracted from the RHDBank, including SN tests, for which we performed laterality index scoring: a 51-item demographic survey, the Apples Test, the Indented Paragraph Test, and the clock drawing task from the Cognitive Linguistic Quick Test (CLQT). Two groups (SN+ and SN−) were identified using the Apples Test. A hierarchical cluster analysis explored CLQT performance clusters in association with SN, and group comparisons of demographic variables and test scores were conducted.

Results:
Ten patients were identified as having SN+ (34%) using the Apples Test. The Indented Paragraph Test and the CLQT's clock drawing test identified only two of the 20 stroke survivors with SN+. Cluster analyses showed that domain and task scores on the CLQT carried information to classify participants into SN+ and SN− in concordance with performance on the Apples Test. Participants in the SN+ cluster had moderately impaired attention and executive function skills and mildly impaired visuospatial skills.

Conclusions:
The Apples Test differentiated SN in a group of chronic right hemisphere stroke survivors. Using multiple measures from the CLQT seemed to capture a greater range of problems than clock drawing and paragraph reading tests alone. Therefore, the RHDBank test battery as a whole—and in part the CLQT, Apples Test, and Indented Paragraph Test—can detect certain subtypes of SN in the chronic deficit profile after RHD and is a starting point for diagnostic integration by speech-language pathologists.
Perspectives on Device-Facilitated Therapy in Management of Pediatric Dysphagia in the Neonatal Intensive Care Unit
Authors: Martens Alaina , Melkonian Angela , Shaughnessy Sophia , Zimmerman Emily 
Published: January 2024

Purpose:
Most infants born preterm will experience some difficulty with sucking and feeding. As clinicians in the neonatal intensive care unit (NICU), it is important to understand the available technologies so that they may be implemented, when appropriate and accessible, to support these infants in their sucking and feeding performance. The purpose of this review is to highlight devices that are available to assist clinicians in the management of pediatric dysphagia in the NICU. We will review the literature surrounding the use of devices in the management of pediatric dysphagia. This is followed by a clinical perspective from a NICU speech-language pathologist (SLP) who shares important considerations, recommendations, and limitations of device use.

Conclusions:
By reviewing device-facilitated therapies for the management of pediatric dysphagia and discussing their implementation and effectiveness, we hope that SLPs will gain an understanding of the available technologies and insight into their use in the NICU environment. While the research highlighted shows many benefits of the use of device-facilitated therapies in the NICU, this is an emerging area of the field that is continually evolving and more research is needed to establish the pathway to individualized, developmentally supportive, device-facilitated intervention.
Oversampling and undersampling for intrusion detection system in the supervisory control and data acquisition IEC 60870‐5‐104
Authors: Arifin M. Agus Syamsul , Stiawan Deris , Yudho Suprapto Bhakti , Susanto Susanto , Salim Tasmi , Idris Mohd Yazid , Budiarto Rahmat 
Published: January 2024

AbstractSupervisory control and data acquisition systems are critical in Industry 4.0 for controlling and monitoring industrial processes. However, these systems are vulnerable to various attacks, and therefore, intelligent and robust intrusion detection systems as security tools are necessary for ensuring security. Machine learning‐based intrusion detection systems require datasets with balanced class distribution, but in practice, imbalanced class distribution is unavoidable. A dataset created by running a supervisory control and data acquisition IEC 60870‐5‐104 (IEC 104) protocol on a testbed network is presented. The dataset includes normal and attacks traffic data such as port scan, brute force, and Denial of service attacks. Various types of Denial of service attacks are generated to create a robust and specific dataset for training the intrusion detection system model. Three popular techniques for handling class imbalance, that is, random over‐sampling, random under‐sampling, and synthetic minority oversampling, are implemented to select the best dataset for the experiment. Gradient boosting, decision tree, and random forest algorithms are used as classifiers for the intrusion detection system models. Experimental results indicate that the intrusion detection system model using decision tree and random forest classifiers using random under‐sampling achieved the highest accuracy of 99.05%. The intrusion detection system model's performance is verified using various metrics such as recall, precision, F1‐Score, receiver operating characteristics curves, and area under the curve. Additionally, 10‐fold cross‐validation shows no indication of overfitting in the created intrusion detection system model.
Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities
Authors: Ali Arshid , Khan Laiq , Javaid Nadeem , Aslam Muhammad , Aldegheishem Abdulaziz , Alrajeh Nabil 
Published: January 2024

AbstractThe increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those resulting from electricity theft, present powerful obstacles; NTL alone can reach billions of dollars. Although Machine Learning (ML) based approaches for NTL detection have been embraced by numerous utilities, there is still a lack of thorough analysis of these methods. Limited research exists on NTL identification evaluation criteria and unbalanced data management in the context of SC. This research compares ML algorithms and data balancing methods to optimize electricity consumption detection. The given research applied the 15 ML techniques of Logistic regression, Bernoulli naive Bayes, Gaussian naive Bayes, K‐Nearest Neighbour, perceptron, passive‐aggressive classifier, quadratic discriminant analysis, SGD classifier, ridge classifier, linear discriminant analysis, decision tree, nearest centroid classifier, multi‐nomial naive Bayes, complement naive Bayes and dummy classifier. While SMOTE, AdaSyn, NRAS, and CCR are considered for data balancing. AUC, F1‐score, and seven relevant performance metrics were used for comparison. We have also implemented SHapely Additive exPlanations (SHAP) for feature importance and model interpretation. Results show varying classifier performance with different balancing methods, emphasizing data preprocessing's role in NTL detection for smart grid security.
A novel method for calculating harmonic contribution based on difference recurrence estimation
Authors: Hua Huichun , Gao Han , Gao Lijie , Guo Haichao 
Published: January 2024

AbstractDetermining the harmonic contribution of each harmonic source is conducive to improving the harmonic management of the power system. The main problem with harmonic contribution calculation is determining the equivalent system harmonic impedance. The previous harmonic impedance calculation method can only calculate the impedance value when the harmonic fluctuation is significant, and the calculation fails when the harmonic fluctuation is small. Therefore, a new method called difference recurrence estimation is proposed to construct the objective function from impedance parameters. The advantages of the proposed method are low data requirement, high estimation accuracy, and excellent tracking performance. An improved genetic algorithm (GA) is presented by integrating an adaptive crossover operator and population intervention into the standard GA to improve the global searching impedance parameter ability. Based on these parameters, harmonic impedance and harmonic contribution are calculated accurately. The superiority of the proposed model is verified through simulation and field cases.
Collisional effects in modeling solar polarized lines
Authors: Derouich M. , Qutub S. 
Published: January 2024

Context. Rigorous implementation of the effects of collisions in modeling the formation of the polarized solar lines is of utmost importance in order to realistically analyze the available, highly sensitive solar spectropolarimetric observations. Indeed, even when an observation seems to fit well with theory, one can misinterpret results if important effects due to collisions are not correctly implemented in the modeling process.
Aims. We point out inconsistencies in the models adopted to implement the Paschen Back effect together with collisional effects on the solar linear polarization formed by scattering of anisotropic radiation. Because the significance of these inconsistencies increases as polarization becomes increasingly responsive to collisions, we investigate the range of hydrogen densities nH to which the polarization is sensitive.
Methods. We used the density matrix formalism in the tensorial irreducible basis, which was developed within the theory of atom-radiation interaction and of atomic collisions. We solved the statistical equilibrium equations for multi-level atoms with hyperfine structure (HFS) in order to evaluate the collisional depolarization of levels of the D1-D2 lines of the K I atom.
Results. We find that collisions play a prominent role, particularly at hydrogen densities of between 1013 and 1016 cm−3.
Conclusions. So far, analyses of polarized lines formed in the presence of solar magnetic field have incorporated, if at all, collisional rates calculated assuming zero magnetic field. This could be a good approximation in the Hanle regime but not in the Paschen Back regime. For typical quiet Sun magnetic fields, the latter regime could be reached, and level-crossing takes place in several atomic systems. Therefore, one must be careful when using collisional rates calculated in the zero-field case to interpret linear polarization formed in magnetized media.
Wide-band fluctuations of solar active regions probed with SHARP magnetograms
Authors: Dumbadze G. , Shergelashvili B. M. , Khodachenko M. L. , Poedts S. 
Published: January 2024

Context. The power spectra of the fluctuation noise of the solar active region (AR) areas and magnetic fluxes sequentially observed in time contain information about their geometrical features and the related fundamental physical processes. These spectra are analysed for five different ARs with various magnetic field structures.
Aims. The goal of this work is to detect the characteristic properties of the Fourier and wavelet spectra evaluated for the time series of the fluctuating areas and radial magnetic fluxes of the active regions. Accordingly, this work gathers information on the properties of noise in the different cases considered.
Methods. The AR area and radial magnetic flux time series were built using SHARP magnetogram datasets that cover nearly the entire time of the ARs’ transits over the solar disk. Then we applied Fourier and wavelet analyses to these time series using apodization and detrendization methods for the cross-comparison of the results. These methods allow for the detection and removal of the artefact data edge effects. Finally, we used a linear least-squares fitting method for the obtained spectra on a logarithmic scale to evaluate the power-law slopes of the fluctuation spectral power versus frequency (if any).
Results. According to our results, the fluctuation spectra of the areas and radial magnetic fluxes of the considered ARs differ from each other to a certain extent, both in terms of the values of the spectral power-law exponents and their frequency bands.
Conclusions. The characteristic properties of the fluctuation spectra for the compact, dispersed, and mixed-type ARs exhibit noticeable discrepancies amongst each other. It is plausible to conclude that this difference might be related to distinct physical mechanisms responsible for the vibrations of the AR areas and/or radial magnetic fluxes.
Infall of material onto the filaments in Barnard 5
Authors: Choudhury Spandan , Pineda Jaime E. , Caselli Paola , Chen Michael Chun-Yuan , Offner Stella S. R. , Valdivia-Mena Maria Teresa 
Published: January 2024

Aims. We aim to study the structure and kinematics of the two filaments inside the subsonic core Barnard 5 in Perseus using high-resolution (≈2400 au) NH3 data and a multi-component fit analysis.
Methods. We used observations of NH3(1,1) and (2,2) inversion transitions using the Very Large Array (VLA) and the Green Bank Telescope (GBT). We smoothed the data to a beam of 8" to reliably fit multiple velocity components towards the two filamentary structures identified in B5.
Results. Along with the core and cloud components, which dominate the flux in the line of sight, we detected two components towards the two filaments showing signs of infall. We also detected two additional components that can possibly trace new material falling into the subsonic core of B5.
Conclusions. Following a comparison with previous simulations of filament formation scenarios in planar geometry, we conclude that either the formation of the B5 filaments is likely to be rather cylindrically symmetrical or the filaments are magnetically supported. We also estimate infall rates of 1.6 × 10−4 M⊙ yr−1 and 1.8 × 10−4 M⊙ yr−1 (upper limits) for the material being accreted onto the two filaments. At these rates, the filament masses can change significantly during the core lifetime. We also estimate an upper limit of 3.5 × 10−5 M⊙ yr−1 for the rate of possible infall onto the core itself. Accretion of new material onto cores indicates the need for a significant update to current core evolution models, where cores are assumed to evolve in isolation.
Spatially resolved radio signatures of electron beams in a coronal shock
Authors: Zhang Peijin , Morosan Diana , Kumari Anshu , Kilpua Emilia 
Published: January 2024

Context. Type II radio bursts are a type of solar radio bursts associated with coronal shocks. Type II bursts usually exhibit fine structures in dynamic spectra that represent signatures of accelerated electron beams. So far, the sources of individual fine structures in type II bursts have not been spatially resolved in high-resolution low-frequency radio imaging.
Aims. The objective of this study is to resolve the radio sources of the herringbone bursts found in type II solar radio bursts and investigate the properties of the acceleration regions in coronal shocks.
Methods. We used low-frequency interferometric imaging observations from the Low Frequency Array to provide a spatially resolved analysis for three herringbone groups (A, B, and C) in a type II radio burst that occurred on 16 October 2015.
Results. The herringbones in groups A and C have a typical frequency drift direction and a propagation direction along the frequency. Their frequency drift rates correspond to those of type III bursts and previously studied herringbones. Group B has a more complex spatial distribution, with two distinct sources separated by 50 arcsec and no clear spatial propagation with frequency. One of the herringbones in group B was found to have an exceptionally large frequency drift rate.
Conclusions. The characteristics derived from imaging spectroscopy suggest that the studied herringbones originate from different processes. Herringbone groups A and C most likely originate from single-direction beam electrons, while group B may be explained by counterstreaming beam electrons.