bluuebunny/crossref_metadata_2025_split huggingface dataset:
Solar farm: siting, design and land footprint analysis
Authors: Sukumaran Sreenath , Sudhakar Kumarasamy , Yusop Ahmad Fitri , Kirpichnikova Irina , Cuce Erdem 
Published: November 2022

Abstract
Solar farms are becoming a crucial part of the renewable energy mix. Yet, the literature has not reported a generalized approach to its design. In this regard, this paper attempts to provide a detailed plan of a 5-MW grid-connected solar farm. In addition, the procedure to analyze the land footprint of the solar plant is also developed. At first, the main components of the solar farm are selected qualitatively. Then, using an excel spreadsheet, the sizing of photovoltaic (PV) array, inverters, combiner boxes, transformers, cables and protection devices is carried out. Finally, the land footprint analysis of the proposed solar farm was carried out mathematically. The proposed solar PV power plant comprises 13 490 numbers of PV modules with a 365-W rating. Nineteen numbers of PV modules will constitute a string. One hundred forty-two numbers of strings will be connected to an inverter of 1 MW rating. The energy output from five such inverters will be fed to the nearest electric substation using a transformer of 1 MVA capacity. The DC and AC cables having a voltage drop of less than 1% are selected. The inter-row distance and ground coverage ratio (GCR) are estimated as 1 and 0.78 m, respectively. The required number of mounting module structures is found to be 710. The proposed solar farm’s total land use requirement is ~43768.41 m2 (around 3 acres). It was observed that the sizing of solar plant components mainly depends on the electrical parameters of the PV module and inverter selected by the designer. Similarly, the land use requirement is influenced by the inter-row distance and PV site layout. This research is expected to streamline the different approaches of solar farm design, which will be beneficial to energy professionals and policymakers.
Legislating Propaganda
Authors: Nuzov Ilya 
Published: November 2022

Abstract
In this article I argue that Russia’s use of memory laws has facilitated the armed conflict in Ukraine, bolstering the rhetorical justification for Russia’s latest aggression. The use of memory laws is hardly new for various legal systems around the world. Most of the early European memory laws have focused on the protection of victim groups from harmful ideologies, however the last two decades have seen a shift away from victim-centric to state-centric laws, especially in Eastern Europe. These laws protect the state’s honour and reputation and have serious ramifications domestically, in terms of human rights violations, but also in international relations. I argue that due to the relationship between identity-building and collective memory, the use of the most nefarious types of memory laws that exculpate the state from earlier crimes has enabled Russia to amplify its propaganda around Ukraine’s so-called ‘denazification’, justifying its aggression against Ukraine. The case study constitutes an example of the many reasons why memory laws should be used sparingly.
Efficacy and exploratory biomarker analysis of entinostat plus exemestane in advanced or recurrent breast cancer: phase II randomized controlled trial
Authors: Iwata Hiroji , Nakamura Rikiya , Masuda Norikazu , Yamashita Toshinari , Yamamoto Yutaka , Kobayashi Kokoro , Tsurutani Junji , Iwasa Tsutomu , Yonemori Kan , Tamura Kenji , Aruga Tomoyuki , Tokunaga Eriko , Kaneko Koji , Lee Min-Jung , Yuno Akira , Kawabata Azusa , Seike Toshihiro , Kaneda Ayumi , Nishimura Yozo , Trepel Jane B , Saji Shigehira 
Published: November 2022

Abstract

Background
We aimed to confirm the efficacy and safety of the oral histone deacetylase inhibitor entinostat in Japanese patients with hormone receptor-positive advanced/recurrent breast cancer and to explore potential biomarkers.

Methods
This phase II, double-blind, randomized, placebo-controlled trial (ClinicalTrials.gov; NCT03291886) was conducted at 28 Japanese sites (September 2017–July 2020; interim analysis cutoff: April 2019). Patients with progression/relapse following non-steroidal aromatase inhibitors were randomized 1:1 to entinostat (5 mg/week) or placebo, plus exemestane (25 mg/day). Primary endpoint was progression-free survival; secondary endpoints included overall survival and safety. Exploratory biomarker outcomes included lysine acetylation, immune cell profiles, estrogen receptor 1 mutations and plasma chemokines.

Results
Of 133 randomized patients, 131 (65 entinostat, 66 placebo) who received study drug were analyzed. Median (95% confidence interval) progression-free survival was 5.8 (3.2–7.8) months for entinostat and 3.3 (3.1–5.8) months for placebo (hazard ratio [95% confidence interval]: 0.75 [0.50 − 1.14]; P = 0.189). Median overall survival was not reached in either group. Entinostat tended to prolong progression-free survival in patients aged ≥65 years, not endocrine resistant, or with estrogen receptor 1 Y537S mutation. Candidate biomarkers of efficacy (progression-free survival) included lysine acetylation in CD3+ cells, plasma interferon gamma-induced protein 10, dendritic cell CD86 expression, and CD4+ cell expression of human leukocyte antigen-DR and inducible T-cell co-stimulator. Safety was similar to non-Japanese populations; however, seven entinostat-treated patients (10.8%) had reversible lung injury.

Conclusions
In Japanese patients, the safety of entinostat plus exemestane was acceptable and progression-free survival was prolonged, although not significantly. Exploratory analyses identified potential biomarkers, including lysine acetylation, of efficacy.
Long-Term Impact of Diagnosed Fetal Anomaly on Parental Traumatic Stress, Resilience, and Relationship Satisfaction
Authors: Oftedal Aurora , Bekkhus Mona , Haugen Guttorm , Hjemdal Odin , Czajkowski Nikolai Olavi , Kaasen Anne 
Published: November 2022

AbstractObjectiveKnowledge regarding the long-term psychological adjustment of parents to children with prenatal diagnosis of congenital malformation is scarce. The aim of this study is to examine traumatic stress trajectories, resilience, and relationship satisfaction among parents to children with prenatal diagnosis of a congenital malformation, and to compare this to a sample of non-affected parents.MethodsA prospective longitudinal cohort study was conducted at a tertiary perinatal referral center. Ninety-three mothers and 80 fathers who received a diagnosis of fetal anomaly during obstetric ultrasound examination (study group), and 110 mothers and 98 fathers with normal ultrasound findings (comparison group), reported their traumatic stress at four timepoints during pregnancy (T1–T4), 6 weeks after birth (T5), and 10–12 years after birth (T6). Resilience and relationship satisfaction was reported at 10–12 years after birth.ResultsParents to children with a congenital malformation experienced significantly elevated traumatic stress levels over time, compared with parents of children without congenital malformation. The difference between groups was largest acutely after diagnosis and remained significant 10–12 years after the birth of the child. Resilience and relationship satisfaction levels were similar in both groups.ConclusionsDespite experiencing high levels of traumatic stress over time, parents to children with a congenital malformation reported resilience and relationship satisfaction at similar levels to non-affected parents. This suggests that despite ongoing long-term distress, parents are still able to maintain positive psychological coping resources.
The information content of projected galaxy fields
Authors: Porth Lucas , Bernstein Gary M , Smith Robert E , Lee Abigail J 
Published: November 2022

ABSTRACT
The power spectrum of the non-linearly evolved large-scale mass distribution recovers only a minority of the information available on the mass fluctuation amplitude. We investigate the recovery of this information in 2D ‘slabs’ of the mass distribution averaged over ≈100 h−1 Mpc along the line of sight, as might be obtained from photometric redshift surveys. We demonstrate a Hamiltonian Monte Carlo method to reconstruct the non-Gaussian mass distribution in slabs, under the assumption that the projected field is a point-transformed Gaussian random field, Poisson-sampled by galaxies. When applied to the Quijote N-body suite at z = 0.5 and at a transverse resolution of 2 h−1 Mpc, the method recovers ∼30 times more information than the 2D power spectrum in the well-sampled limit, recovering the Gaussian limit on information. At a more realistic galaxy sampling density of 0.01 h3 Mpc−3, shot noise reduces the information gain to a factor of 5 improvement over the power spectrum at resolutions of 4 h−1 Mpc or smaller.
MIGHTEE: deep 1.4 GHz source counts and the sky temperature contribution of star-forming galaxies and active galactic nuclei
Authors: Hale C L , Whittam I H , Jarvis M J , Best P N , Thomas N L , Heywood I , Prescott M , Adams N , Afonso J , An Fangxia , Bowler R A A , Collier J D , Cook R H W , Davé R , Frank B S , Glowacki M , Hatfield P W , Kolwa S , Lovell C C , Maddox N , Marchetti L , Morabito L K , Murphy E , Prandoni I , Randriamanakoto Z , Taylor A R 
Published: November 2022

Abstract
We present deep 1.4 GHz source counts from ∼5 deg2 of the continuum Early Science data release of the MeerKAT International Gigahertz Tiered Extragalactic Exploration survey down to S1.4GHz ∼15 $\mu$Jy. Using observations over two extragalactic fields (COSMOS and XMM-LSS), we provide a comprehensive investigation into correcting the incompleteness of the raw source counts within the survey to understand the true underlying source count population. We use a variety of simulations that account for: errors in source detection and characterization, clustering, and variations in the assumed source model used to simulate sources within the field and characterize source count incompleteness. We present these deep source count distributions and use them to investigate the contribution of extragalactic sources to the sky background temperature at 1.4 GHz using a relatively large sky area. We then use the wealth of ancillary data covering a subset of the COSMOS field to investigate the specific contributions from both active galactic nuclei (AGN) and star-forming galaxies (SFGs) to the source counts and sky background temperature. We find, similar to previous deep studies, that we are unable to reconcile the sky temperature observed by the ARCADE 2 experiment. We show that AGN provide the majority contribution to the sky temperature contribution from radio sources, but the relative contribution of SFGs rises sharply below 1 mJy, reaching an approximate 15–25 per cent contribution to the total sky background temperature (Tb ∼100 mK) at ∼15 $\mu$Jy.
AGNet: weighing black holes with deep learning
Authors: Lin Joshua Yao-Yu , Pandya Sneh , Pratap Devanshi , Liu Xin , Carrasco Kind Matias , Kindratenko Volodymyr 
Published: November 2022

ABSTRACT
Supermassive black holes (SMBHs) are commonly found at the centres of most massive galaxies. Measuring SMBH mass is crucial for understanding the origin and evolution of SMBHs. Traditional approaches, on the other hand, necessitate the collection of spectroscopic data, which is costly. We present an algorithm that weighs SMBHs using quasar light time series information, including colours, multiband magnitudes, and the variability of the light curves, circumventing the need for expensive spectra. We train, validate, and test neural networks that directly learn from the Sloan Digital Sky Survey (SDSS) Stripe 82 light curves for a sample of 38 939 spectroscopically confirmed quasars to map out the non-linear encoding between SMBH mass and multiband optical light curves. We find a 1σ scatter of 0.37 dex between the predicted SMBH mass and the fiducial virial mass estimate based on SDSS single-epoch spectra, which is comparable to the systematic uncertainty in the virial mass estimate. Our results have direct implications for more efficient applications with future observations from the Vera C. Rubin Observatory. Our code, AGNet, is publicly available at https://github.com/snehjp2/AGNet.
HD 16424: A new weak G-band star with high Li abundance
Authors: Holanda N , Drake N A , Pereira C B 
Published: November 2022

ABSTRACT
The origin of the so-called weak G-band stars constitutes an unsolved problem in stellar astrophysics. In this context, we present a detailed abundance analysis of a new weak G-band star, HD 16424, which stands out with a very low 12C/13C ratio and Li and Na overabundance. Our work is based on the high-resolution échelle spectrum (R ≈ 48 000) and includes photometric and astrometric data from the literature. The analysis adopted in this work is performed under local thermodynamic equilibrium (LTE) approximation; we determine the atmospheric parameters (Teff, $\log \, g$, [Fe/H], and ξ), abundances for proton-capture elements (C, N, O, Li), s-process elements (Y, Zr, La), and mixing tracers such as the 12C/13C isotopic ratio and sodium abundance, following by NLTE corrections applied to Li, O, and Na abundances. Our results show 12C deficiency ([C/Fe] = −0.57) and N enrichment ([N/Fe]  =  +0.97), that is typical for weak G-band stars. Also, we notice a carbon isotopic ratio characteristic of the CN-cycle equilibrium (〈12C/13C〉  =  4.0) and high lithium-7 abundance ($\log \, \varepsilon$(Li)NLTE  =  2.85). In addition, this study shows a low projected rotational velocity ($v\, \sin \, i$  =  2.0 km s−1) and low mass (1.61 M⊙) of HD 16424, which distinguishes this star from the intermediate-mass objects found in this class of peculiar objects.
Optical follow-up of the tick-tock massive black hole binary candidate
Authors: Dotti Massimo , Bonetti Matteo , Rigamonti Fabio , Bortolas Elisa , Fossati Matteo , Decarli Roberto , Covino Stefano , Lupi Alessandro , Franchini Alessia , Sesana Alberto , Calderone Giorgio 
Published: November 2022

ABSTRACT
The observation of a population of massive black hole binaries (MBHBs) is key for our complete understanding of galaxy mergers and for the characterization of the expected gravitational waves (GWs) signal. However, MBHBs still remain elusive with only a few candidates proposed to date. Among these, SDSSJ143016.05 + 230344.4 (’tick-tock’ hereafter) is the only candidate with a remarkably well sampled light curve showing a clear reduction of the modulation period and amplitude over three years of observations. This particular feature has been recently claimed to be the signature of a MBHB that is about to merge. In this paper, we provide an optical follow-up of the tick-tock source using the Rapid Eye Mount (REM) telescope. The decreasing luminosity observed in our follow up is hardly explained within the binary scenario. We speculate about an alternative scenario that might explain the observed light curve through relativistic Lense-Thirring precession of an accretion disc around a single massive black hole.
Image plane detection of FRB121102 with the MeerKAT radio telescope
Authors: Andrianjafy J C , Heeralall-Issur N , Deshpande A A , Golap K , Woudt P , Caleb M , Barr E D , Chen W , Jankowski F , Kramer M , Stappers B W , Wu J 
Published: November 2022

ABSTRACT
We present the analysis of radio interferometric 2-s images from a MeerKAT observation of the repeating fast radio burst FRB121102 in 2019 September, during which 11 distinct pulses have been previously detected using high time and frequency resolution data cubes. In this work, we detected 6 out of the 11 bursts in the image plane at 1.48 GHz with a minimum peak signal-to-noise ratio (S/N) of 5σ and a fluence detection limit of ∼0.512 Jy ms. These constitute the first detections of a fast radio burst (FRB) or a radio transient using 2-s time-scale images with MeerKAT data. Analysis of the fitted burst properties revealed a weighted average precision of ∼1 arcsec in the localization of the bursts. The accurate knowledge of FRB positions is essential for identifying their host galaxy and understanding their mysterious nature that is still unresolved to this day. We also produced 2-s images at 1.09 GHz but yielded no detection that we attributed to the spectral structure of the pulses that are mostly higher in strength in the upper frequencies. We also explore a new approach to difference image analysis (DIA) to search for transients and find that our technique has the potential to reduce the number of candidates and could be used to automate the detection of FRBs in the image plane for future MeerKAT observations.
Evolution of grain size distribution with enhanced abundance of small carbonaceous grains in galactic environments
Authors: Hirashita Hiroyuki 
Published: November 2022

ABSTRACT
We propose an updated dust evolution model that focuses on the grain size distribution in a galaxy. We treat the galaxy as a one-zone object and include five main processes (stellar dust production, dust destruction in supernova shocks, grain growth by accretion and coagulation, and grain disruption by shattering). In this paper, we improve the predictions related to small carbonaceous grains, which are responsible for the 2175-Å bump in the extinction curve and the polycyclic aromatic hydrocarbon emission features in the dust emission spectral energy distribution (SED), both of which were underpredicted in our previous model. In the new model, we hypothesize that small carbonaceous grains are not involved in interstellar processing. This avoids small carbonaceous grains being lost by coagulation. We find that this hypothetical model shows a much better match to the Milky Way (MW) extinction curve and dust emission SED than the previous one. The following two additional modifications further make the fit to the MW dust emission SED better (i) The chemical enrichment model is adjusted to give a nearly solar metallicity in the present epoch, and the fraction of metals available for dust growth is limited to half. (ii) Aromatization for small carbonaceous grains is efficient, so that the aromatic fraction is unity at grain radii ≲ 20 Å. As a consequence of our modelling, we succeed in obtaining a dust evolution model that explains the MW extinction curve and dust emission SED at the same time.
A systematic validation of hot Neptunes in TESS data
Authors: Magliano Christian , Covone Giovanni , Dobal Richa , Cacciapuoti Luca , Tonietti Luca , Giacalone Steven , Vines Jose I , Inno Laura , Jenkins James S , Lissauer Jack J , Bieryla Allyson , Oliva Fabrizio , Pagano Isabella , Kostov Veselin , Ziegler Carl , Ciardi David R , Gonzales Erica J , Dressing Courtney D , Buchhave Lars A , Howell Steve B , Matson Rachel A , Matthews Elisabeth , Rotundi Alessandra , Alves Douglas , Fiscale Stefano , Ienco Riccardo M , Peña Pablo , Gallo Francesco , Muscari Tomajoli Maria T 
Published: November 2022

ABSTRACT
We statistically validated a sample of hot Neptune candidates applying a two-step vetting technique using dave and triceratops. We performed a systematic validation of 250 transit-like events in the Transiting Exoplanet Survey Satellite archive in the parameter region defined by $P\le 4\, \text{d}$ and $3\, {\rm R}_{\oplus }\le R \le 5\, {\rm R}_{\oplus }$. Through our analysis, we identified 18 hot Neptune-sized candidates, with a false positive probability ${\lt}50{{\ \rm per\ cent}}$. Nine of these planet candidates still need to be confirmed. For each of the nine targets, we retrieved the stellar parameters using ARIADNE and derived constraints on the planetary parameters by fitting the light curves with the juliet package. Within this sample of nine candidates, we statistically validated (i.e. with false positive probability ${\lt}0.3{{\ \rm per\ cent}}$) two systems (TOI-277 b and TOI-1288 b) by re-processing the candidates with triceratops along with follow-up observations. These new validated exoplanets expand the known hot Neptunes population and are high-priority targets for future radial velocities follow-up.
UTRdb 2.0: a comprehensive, expert curated catalog of eukaryotic mRNAs untranslated regions
Authors: Lo Giudice Claudio , Zambelli Federico , Chiara Matteo , Pavesi Giulio , Tangaro Marco Antonio , Picardi Ernesto , Pesole Graziano 
Published: November 2022

Abstract
The 5′ and 3′ untranslated regions of eukaryotic mRNAs (UTRs) play crucial roles in the post-transcriptional regulation of gene expression through the modulation of nucleo-cytoplasmic mRNA transport, translation efficiency, subcellular localization, and message stability. Since 1996, we have developed and maintained UTRdb, a specialized database of UTR sequences. Here we present UTRdb 2.0, a major update of UTRdb featuring an extensive collection of eukaryotic 5′ and 3′ UTR sequences, including over 26 million entries from over 6 million genes and 573 species, enriched with a curated set of functional annotations. Annotations include CAGE tags and polyA signals to label the completeness of 5′ and 3′UTRs, respectively. In addition, uORFs and IRES are annotated in 5′UTRs as well as experimentally validated miRNA targets in 3′UTRs. Further annotations include evolutionarily conserved blocks, Rfam motifs, ADAR-mediated RNA editing events, and m6A modifications. A web interface allowing a flexible selection and retrieval of specific subsets of UTRs, selected according to a combination of criteria, has been implemented which also provides comprehensive download facilities. UTRdb 2.0 is accessible at http://utrdb.cloud.ba.infn.it/utrdb/
IMG/VR v4: an expanded database of uncultivated virus genomes within a framework of extensive functional, taxonomic, and ecological metadata
Authors: Camargo Antonio Pedro , Nayfach Stephen , Chen I-Min A , Palaniappan Krishnaveni , Ratner Anna , Chu Ken , Ritter Stephan J , Reddy T B K , Mukherjee Supratim , Schulz Frederik , Call Lee , Neches Russell Y , Woyke Tanja , Ivanova Natalia N , Eloe-Fadrosh Emiley A , Kyrpides Nikos C , Roux Simon 
Published: November 2022

Abstract
Viruses are widely recognized as critical members of all microbiomes. Metagenomics enables large-scale exploration of the global virosphere, progressively revealing the extensive genomic diversity of viruses on Earth and highlighting the myriad of ways by which viruses impact biological processes. IMG/VR provides access to the largest collection of viral sequences obtained from (meta)genomes, along with functional annotation and rich metadata. A web interface enables users to efficiently browse and search viruses based on genome features and/or sequence similarity. Here, we present the fourth version of IMG/VR, composed of &gt;15 million virus genomes and genome fragments, a ≈6-fold increase in size compared to the previous version. These clustered into 8.7 million viral operational taxonomic units, including 231 408 with at least one high-quality representative. Viral sequences in IMG/VR are now systematically identified from genomes, metagenomes, and metatranscriptomes using a new detection approach (geNomad), and IMG standard annotation are complemented with genome quality estimation using CheckV, taxonomic classification reflecting the latest taxonomic standards, and microbial host taxonomy prediction. IMG/VR v4 is available at https://img.jgi.doe.gov/vr, and the underlying data are available to download at https://genome.jgi.doe.gov/portal/IMG_VR.