bluuebunny/crossref_metadata_2025_split huggingface dataset:
How bad is bad? Perceptual differences in the communication of severity in intimate partner violence
Authors: Sikström Sverker , Dahl Mats 
Published: April 2023

AbstractAccurate communication of the severity of violence in intimate relations is essential for the appropriate evaluation of offenders and victims in contexts such as court trials, custody cases, and the continuation of relationships. Using a new paradigm, this study quantifies discrepancies in how the severity of violence is communicated in texts written by offenders, victims, and bystanders who witness violence. The study was conducted in two phases, where participants were randomly sampled from the same population to participate in either Phase 1 or Phase 2. In the first Phase, witnesses (narrators) provided nine narratives about self-experienced intimate partner violence and rated the violence’s severity; then in the second Phase non-witnesses (recipients) read all the narratives and rated the severity of the violence. Four types of perceptual differences (calibration, accuracy, gender, and role perceptual differences) were identified when rating the severity of three types of violence (psychological, physical, and sexual) as communicated by three types of witnesses (victims, offenders, and bystanders) of violence in heterosexual, romantic relationships. Several novel findings were made related to a strong perceptual difference in calibration, i.e., a tendency for the recipient to rate the violence more severely than the narrator, where this effect was mainly found for victims and bystanders, but not for offenders. Also, the calibration effect was largely seen in the sexual and physical, but not psychological, narratives. The recipients’ accuracy was considerably lower for psychological rather than sexual violence. Finally, the validity of the method was confirmed by replicating earlier findings on perceptual differences in roles where witnesses rated violence more severely than victims or offenders and women were rated more severely than men, which was especially true for male raters. These results suggest systematic perceptual differences in severity ratings and may have substantial implications for victims and offenders in real-life settings. These findings may potentially be used to ameliorate the negative effects of perceptual differences.
Historical record shows broad habitat use and rapid decline of the greater bilby Macrotis lagotis in eastern Australia
Authors: Silcock J. L. , McRae P. D. , Laidlaw M. J. , Southgate R. I. 
Published: April 2023

Context Understanding historical distributions of species informs their ecology and response to threats, which can support management of surviving and translocated populations. Like many critical weight-range mammals in Australia, the greater bilby (Macrotis lagotis) has experienced major declines since European colonisation. The past distribution of bilbies in eastern Australia remains uncertain owing to the rapidity of their decline, their cryptic and nocturnal nature, and the paucity of specimen records. Aims We aimed to systematically collate, geo-reference and attribute bilby records from eastern Australia to better inform their historical distribution, habitat preferences, patterns of decline and response to threats. Methods We searched explorer and early settler journals, the digitised newspaper archive, interviews with long-term residents, Aboriginal language resources and ethnographies, place and property names, unpublished datasets, and documented locations of now-inactive bilby burrows. Records were geo-referenced and attributed with date, record type, source, location precision, bioregion, habitat and local abundance. The former distribution of bilby habitat in Queensland was modelled using Maxent, and the likely former occupancy of bilbies was identified using vegetation mapping. Key results More than 250 bilby records were found, only 34 of which appear in the Atlas of Living Australia. Sixty-five per cent of the records were attributed either ‘certain’ or ‘good’ reliability. Bilbies formerly occurred over most of inland New South Wales and the southern half of Queensland in areas receiving <600 mm average annual rainfall, in a wide variety of habitats. By the 1930s, bilbies were largely restricted to their current core range in south-western Queensland. This contraction in range coincided with the northward spread of rabbits and foxes. Conclusions Bilbies had a more contiguous distribution and occupied a wider range of habitats than was previously recognised. The species persisted in apparently isolated patches to the south-east, west and north of its present distribution until the 1970s, suggesting recent declines around the peripheries of its current range. By the 1990s, bilbies occupied <3% of their pre-1900 range in eastern Australia. Implications This work details changes in bilby distribution and provides key context for interpreting contemporary survey results. It also identifies areas where further surveys are required and may assist in selecting habitat for future translocations.
Phase jump detection and correction based on the support vector machine
Authors: Wang Y F , Hanada K , Sakurai D , Liu H Q , Lan T , Gao X , Wu X H 
Published: April 2023

Abstract
In general, interferometers are used to perform electron density measurements in magnetically confined plasma, where the electron density is dependent on the refractive index of the plasma. Measurements can be made through comparisons of the phase shift variation between the probe and reference laser beam. The plasma electron density should vary continuously during discharge; however, the fringe jump is a step-like change of the apparent electron density caused by a sudden jump of the measured phase shift. The appearance of fringe jump will degrade the interferometric measurements accuracy. This study attempted to solve the fringe jump problem on the polarimeter-interferometer (POINT) diagnostics system of the Experiment Advanced Superconducting Tokamak (EAST) by proposing a support vector machine model for electron density fringe jump detection and correction. The established model can efficiently classify the fringe jump data from the raw measurement data in a manner robust to noise and interference, and subsequently correct the jump. This model greatly improves the correction efficiency and precision of electron density data from the POINT system, and is expected to be embedded into the plasma control system to perform more accurate real-time electron density feedback control. Moreover, the algorithm is not limited to specific fusion devices or interferometer diagnostics, and is applicable to other interferometric measurement systems.
A window for cosmic strings
Authors: Auclair Pierre , Leyde Konstantin , A. Steer Danièle 
Published: April 2023

Abstract
Particle emission, in addition to gravitational radiation from cosmic string loops, affects the resulting loop distribution and hence the corresponding observational consequences of cosmic strings.
Here we focus on two models in which loops of length ℓ are produced from the infinite string network with a given power-law.
For both models we find that, due to particle production, the Stochastic Gravitational Wave Background (SGWB) is cut off outside the region of parameter space probed by any current or planned GW experiment.
Therefore the present constraints from the LIGO-Virgo-Kagra (LVK) collaboration still hold.
However for one of these models, if a fraction ≳𝒪(10-3) of these particles cascades into γ-rays, and if the gravitational backreaction scale follows the Polchinski-Rocha model, then the string tension is tightly constrained from below by measurements of the Diffuse γ-Ray Background, and from above by the SGWB.
With reasonable assumptions, the joint constraint on the string tension set by these two possible observables reduces the available parameter space of this cosmic string model to a narrow band. Future upgrades to LVK will either rule out this model or detect strings.
Gravitational waveform and polarization
from binary black hole inspiral in dynamical Chern-Simons gravity: from generation to propagation
Authors: Li Zhao , Qiao Jin , Liu Tan , Zhu Tao , Zhao Wen 
Published: April 2023

Abstract
We calculate the gravitational waveform radiated from spinning black holes (BHs) binary in
dynamical Chern-Simons (dCS) gravity. The equation of motion (EOM) of the spinning binary BHs is
derived based on the modified Mathisson-Papapetrou-Dixon equation for the spin-aligned circular
orbits. The leading-order effects induced by the dCS theory contain spin-spin interaction and
monopole-quadrupole interaction, which influences both the EOM of the binary system and
corresponding gravitational waveform at the second post-Newtonian (PN) order (i.e., 2PN
order). After reporting the waveforms, we investigate the polarization modes of gravitational
waves (GWs) in dCS theory. None of the extra modes appears in this theory up to the considered PN
order. Moreover, since the time scale of the binary merger is much smaller than that of the
cosmological expansion, the parity-violating effect of the dCS theory does not appear in the
process of GW generation. However, during the process of GW propagation, amplitude birefringence,
a typical parity-violating effect, makes plus and cross modes convert to each other, which
modifies the gravitational waveform at 1.5PN order.
Observation of electrostatic fluctuations driven by runaway electrons in EAST disruptions
Authors: Tang T. , Zeng L. , Qiu Z.Y. , Lin S.Y. , Sun Y.W. , Wei G.Y. , Zhu X. , Chen D.L. , Huang Y. , Duan Y.M. , Xu L.Q. , Zhuang H.D. , Liu H.Q. , Qian J.P , Luo C.X. , Ti A. , Zhao H.L. , Jie Y.X. , Liang Y.F. , Gao X. 
Published: April 2023

Abstract
Electrostatic fluctuations driven by runaway electrons (REs) have been observed following a thermal quench during Experimental Advanced Superconducting Tokamak–intended disruptions, which are triggered by massive gas injection. Electrostatic fluctuations are clearly detected using several radiation-related diagnostics and in two distinct frequency bands: 10–20 kHz and 30–40 kHz. The appearances of fluctuations are directly correlated with REs. Fluctuations observed during argon injection and neon injection have significantly different evolution with time, whereas no fluctuations can be found with helium injection. The measured frequency scales with different amounts of injected gases finally tend to be saturated. A clear phase difference is detected, and a mode structure of (m, n) = (1, 0) is identified in the soft x-ray detector array. Here, m and n are the poloidal and toroidal mode numbers, respectively. The geodesic acoustic mode proposed as a candidate instability is further discussed, and the barely trapped/passing electrons can contribute to drive the mode. Fluctuations are also correlated with significant RE loss, which supports the possibility of kinetic instability for RE mitigation in a tokamak reactor.
The use of Drone for Identifying and Mapping of Revegetation Plant in Coal Post-mines in Tanjung Enim, South Sumatra, Indonesia
Authors: Setyawan D , Hanum H , Warsito  , Achadi T , Paserena KD 
Published: April 2023

Abstract
Land reclamation and revegetation of post-mines need to be monitored regularly to ensure their progress. The drone is potential due to its high resolution and simplicity in operation and image processing. This study aimed to use the drone as an alternative in identifying and mapping land after the revegetation of coal post-mines in Tanjung Enim, South Sumatra, Indonesia. The research was conducted at the IUP Banko Barat of PT. Bukit Asam Co. Ltd, Indonesia. This research was conducted from September to December 2021. The method used in this study was a manual interpretation by making a delineation of the boundaries between types of revegetation plants in 2014, 2015, 2016, 2017, 2018, 2019, and 2020 planting years. The use of drones in this study was able to determine the distribution of revegetation plants used and produce the revegetation plant distribution map with 5 land cover classes, including Eucalyptus as the dominant species while Angsana (Pterocarpus indicus), Merbau (Intsia sp), Mahogany (Swietenia macrophylla), and Johar (Senna siamea) species with their patchy patterns, covering a total area of 22.52 ha or 66.44%. Eucalyptus is the most dominantly used as revegetation species in the coal post-mine in Tanjung Enim, with an area of 22.39 ha or 66.04% of the land. The drone is reliable for monitoring revegetation progress and may be used as a supplemental tool for evaluating post-mine conditions.
Investigation of 7075 aluminum alloy TIG welding joint using 7075 aluminum alloy wire before and after heat treatment
Authors: Xiao Liu , Chenyang Wang , Xiaoping Li , Bin Zhu , Runzhou Li 
Published: April 2023

Abstract
7075 aluminum alloy butt welding was carried out by TIG welding with self-made 7075 wire. The effects of different currents on the microstructure and mechanical properties of the joint before and after heat treatment were studied. Before heat treatment, the strength and elongation of the joint are 274.84 MPa and 6.3%, which are determined by the presence of a large number of second phase precipitates with different shapes. After heat treatment, the tensile strength and elongation are increased to 511.75 MPa and 13.76%. Since most of the second phase has been dissolved, the grain size becomes the decisive factor. The fine grain size and more sufficient recrystallization degree make the mechanical properties of the low-current joint better.
Comprehensive analysis of radiative cooling enabled thermoelectric energy harvesting
Authors: Zhu Yuxiao , Newbrook Daniel W , de Groot C H , Huang Ruomeng 
Published: April 2023

Abstract
The market for Internet-of-things (IoT) with integrated wireless sensor networks is expanding at a rate never seen before. The thriving of IoT also brings an unprecedented demand for sustainable micro-Watt-scale power supplies. Radiative cooling (RC) can provide a continuous temperature difference which can be converted by a thermoelectric generator (TEG) into electrical power. This novel combination of RC with TEG expands the category of sustainable energy sources for energy harvesting. However, the further application of RC-TEG requires a holistic investigation of its RC-TEG performance which is dependent on many different parameters. Using 3D finite element method simulation, this works provides a comprehensive analysis of the concept of RC-TEG by investigating the impact of radiative cooler properties, TEG parameters, and environmental conditions, to provide a full picture of the performance of RC-TEG devices. The capability of RC-TEG to provide continuous power supply is tested using real-time environmental data from both Singapore and London on two different days of the year, demonstrating continuous power supply sufficient for a wide range of physical devices.
Fault detection and classification in DC microgrid clusters
Authors: Pan Prateem , Mandal Rajib Kumar 
Published: April 2023

Abstract
With the rising popularity of DC microgrids, clusters of such grids are beginning to emerge as a practical and economical option. Short circuit problems in a DC microgrid clusters can cause overcurrent damage to power electronic devices. Protecting DC lines from large fault currents is essential. This paper presents a novel localized fault detection and classification technique for the protection of DC microgrid clusters. In this paper, a variational mode decomposition (VMD) and artificial neural network (ANN) based technique is proposed for accurate and effective fault detection and classification. This research aims to train an ANN that can detect and classify faults in DC microgrid clusters with multiple sources and loads by applying VMD to extract features of current signals. Different types of short circuit faults such as Pole to Pole and Pole to ground faults are considered under various grid operating conditions. The proposed method is capable of real-time fault detection and diagnosis, which can help prevent system failures and minimize downtime. The results indicate that the proposed approach is efficient and effective in detecting/classifying faults in DC microgrid clusters improving the reliability and system safety. The performance evaluation is carried out through rigorous case studies in MATLAB/Simulink environment to prove the efficacy of the proposed method. The VMD-ANN approach is shown to outperform other traditional signal processing techniques in terms of accuracy and robustness. Moreover, the proposed method is applicable to a wide range of DC microgrid clusters, making it a versatile and valuable tool for future research and development.
Optical detection of valley-polarized electron diffusion in diamond
Authors: Djurberg V , Majdi S , Suntornwipat N , Isberg J 
Published: April 2023

Abstract
Using the state of valley-polarization of electrons in solids is a promising new paradigm for information storage and processing. The central challenge in utilizing valley-polarization for this purpose is to develop methods for manipulating and reading out the final valley state. Here, we demonstrate optical detection of valley-polarized electrons in diamond. It is achieved by capturing images of electroluminescence from nitrogen-vacancy centers at the surface of a diamond sample that are excited by electrons drifting and diffusing through the sample. Monte Carlo simulations are performed to interpret the resulting experimental diffusion patterns. Our results give insight into the drift-diffusion of valley-polarized electrons in diamond and yield a way of analyzing the valley-polarization of ensembles of electrons.
Entire weak solutions for an anisotropic equation in the Heisenberg group
Authors: Razani Abdolrahman 
Published: April 2023

Here, we consider an anisotropic equation
\[

−

Δ

H

n

,

p
→

u
+
a
(
q
)

|

u

|

p
–

2

u
=
λ
w
(
q
)

|

u

|

m
−
2

u
−
h
(
q
)

|

u

|

l
−
2

u
,

-\Delta _{{\mathbb {H}^n},\overrightarrow {p}}u +a(q)|u|^{p^–2}u=\lambda w(q)|u|^{m-2}u-h(q)|u|^{l-2}u,

\]
in the Heisenberg group

H

n

{\mathbb {H}^n}

, where the operator

Δ

H

n

,

p
→

\Delta _{{\mathbb {H}^n},\overrightarrow {p}}

is the horizontal anisotropic

p
p

-Laplacian on the Heisenberg group and is defined in the sequel. By the variational methods, we prove the existence of the entire weak solutions.
WAVES (Web-based tool for Analysis and Visualization of Environmental Samples)—a web application for visualization of wastewater pathogen sequencing results
Authors: Triska Petr , Amman Fabian , Endler Lukas , Bergthaler Andreas 
Published: April 2023

AbstractMotivationEnvironmental monitoring of pathogens provides an accurate and timely source of information for public health authorities and policymakers. In the last 2 years, wastewater sequencing proved to be an effective way of detection and quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants circulating in population. Wastewater sequencing produces substantial amounts of geographical and genomic data. Proper visualization of spatial and temporal patterns in these data is crucial for the assessment of the epidemiological situation and forecasting. Here, we present a web-based dashboard application for the visualization and analysis of data obtained from sequencing of environmental samples. The dashboard provides multi-layered visualization of geographical and genomic data. It allows to display frequencies of detected pathogen variants as well as individual mutation frequencies. The features of WAVES (Web-based tool for Analysis and Visualization of Environmental Samples) for early tracking and detection of novel variants in the wastewater are demonstrated in an example of BA.1 variant and the signature Spike mutation S: E484A. WAVES dashboard is easily customized through the editable configuration file and can be used for different types of pathogens and environmental samples.Availability and implementationWAVES source code is freely available at https://github.com/ptriska/WavesDash under MIT license. A demo version of this application can be accessed at: https://wavesdashboard.azurewebsites.net/.
Finite mixtures of matrix variate Poisson-log normal distributions for three-way count data
Authors: Silva Anjali , Qin Xiaoke , Rothstein Steven J , McNicholas Paul D , Subedi Sanjeena 
Published: April 2023

AbstractMotivationThree-way data structures, characterized by three entities, the units, the variables and the occasions, are frequent in biological studies. In RNA sequencing, three-way data structures are obtained when high-throughput transcriptome sequencing data are collected for n genes across p conditions at r occasions. Matrix variate distributions offer a natural way to model three-way data and mixtures of matrix variate distributions can be used to cluster three-way data. Clustering of gene expression data is carried out as means of discovering gene co-expression networks.ResultsIn this work, a mixture of matrix variate Poisson-log normal distributions is proposed for clustering read counts from RNA sequencing. By considering the matrix variate structure, full information on the conditions and occasions of the RNA sequencing dataset is simultaneously considered, and the number of covariance parameters to be estimated is reduced. We propose three different frameworks for parameter estimation: a Markov chain Monte Carlo-based approach, a variational Gaussian approximation-based approach, and a hybrid approach. Various information criteria are used for model selection. The models are applied to both real and simulated data, and we demonstrate that the proposed approaches can recover the underlying cluster structure in both cases. In simulation studies where the true model parameters are known, our proposed approach shows good parameter recovery.Availability and implementationThe GitHub R package for this work is available at https://github.com/anjalisilva/mixMVPLN and is released under the open source MIT license.
eccDB: a comprehensive repository for eccDNA-mediated chromatin contacts in multi-species
Authors: Yang Min , Qiu Bo , He Guo-You , Zhou Jian-Yuan , Yu Hao-Jie , Zhang Yu-Ying , Li Yan-Shang , Li Tai-Song , Guo Jin-Cheng , Li Xue-Cang , Xie Jian-Jun 
Published: April 2023

Abstract

Summary
We developed the eccDB database to integrate available resources for extrachromosomal circular DNA (eccDNA) data. eccDB is a comprehensive repository for storing, browsing, searching, and analyzing eccDNAs from multispecies. The database provides regulatory and epigenetic information on eccDNAs, with a focus on analyzing intrachromosomal and interchromosomal interactions to predict their transcriptional regulatory functions. Moreover, eccDB identifies eccDNAs from unknown DNA sequences and analyzes the functional and evolutionary relationships of eccDNAs among different species. Overall, eccDB offers web-based analytical tools and a comprehensive resource for biologists and clinicians to decipher the molecular regulatory mechanisms of eccDNAs.

Availability and implementation
eccDB is freely available at http://www.xiejjlab.bio/eccDB.