bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cosmological Constraints from the BOSS DR12 Void Size Function
Authors: Contarini Sofia , Pisani Alice , Hamaus Nico , Marulli Federico , Moscardini Lauro , Baldi Marco 
Published: August 2023

Abstract
We present the first cosmological constraints derived from the analysis of the void size function. This work relies on the final Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12 (DR12) data set, a large spectroscopic galaxy catalog, ideal for the identification of cosmic voids. We extract a sample of voids from the distribution of galaxies, and we apply a cleaning procedure aimed at reaching high levels of purity and completeness. We model the void size function by means of an extension of the popular volume-conserving model, based on two additional nuisance parameters. Relying on mock catalogs specifically designed to reproduce the BOSS DR12 galaxy sample, we calibrate the extended size function model parameters and validate the methodology. We then apply a Bayesian analysis to constrain the Lambda cold dark matter (ΛCDM) model and one of its simplest extensions, featuring a constant dark energy equation of state parameter, w. Following a conservative approach, we put constraints on the total matter density parameter and the amplitude of density fluctuations, finding Ωm = 0.29 ± 0.06 and

σ

8

=

0.79

−
0.08

+
0.09

. Testing the alternative scenario, we derive w = −1.1 ± 0.2, in agreement with the ΛCDM model. These results are independent and complementary to those derived from standard cosmological probes, opening up new ways to identify the origin of potential tensions in the current cosmological paradigm.
Galaxy and Mass Assembly (GAMA): Stellar-to-dynamical Mass Relation. I. Constraining the Precision of Stellar Mass Estimates
Authors: Dogruel M. Burak , Taylor Edward N. , Cluver Michelle , D’Eugenio Francesco , de Graaff Anna , Colless Matthew , Sonnenfeld Alessandro 
Published: August 2023

Abstract
In this empirical work, we aim to quantify the systematic uncertainties in stellar-mass (M
⋆) estimates made from spectral energy distribution (SED) fitting through stellar population synthesis (SPS) for galaxies in the local Universe by using the dynamical mass (M
dyn) estimator as an SED-independent check on stellar mass. We first construct a statistical model of the high-dimensional space of galaxy properties; including size (R

e
), velocity dispersion (σ

e
), surface brightness (I

e
), mass-to-light ratio (M
⋆/L), rest-frame color, Sérsic index (n), and dynamical mass (M
dyn), and accounting for selection effects and covariant errors. We disentangle the correlations among galaxy properties and find that the variation in M
⋆/M
dyn is driven by σ

e
, Sérsic index and color. We use these parameters to calibrate an SED-independent M
⋆ estimator,

M

ˆ

⋆

. We find the random scatter of the relation

M

⋆

−

M

ˆ

⋆

to be 0.108 dex and 0.147 dex for quiescent and star-forming galaxies, respectively. Finally, we inspect the residuals as a function of SPS parameters (dust, age, metallicity, and star formation rate) and spectral indices (Hα, Hδ, and D

n
4000). For quiescent galaxies, ∼65% of the scatter can be explained by the uncertainty in SPS parameters, with dust and age being the largest sources of uncertainty. For star-forming galaxies, while age and metallicity are the leading factors, SPS parameters account for only ∼13% of the scatter. These results leave us with remaining unmodelled scatters of 0.055 dex and 0.122 dex for quiescent and star-forming galaxies, respectively. This can be interpreted as a conservative limit on the precision in M
⋆ that can be achieved via simple SPS modeling.
A Negative Long Lag from the Optical to the UV Continuum in Fairall 9
Authors: Yao Philippe Z. , Secunda Amy , Jiang 姜 Yan-Fei 燕飞 , Greene Jenny E. , Villar Ashley 
Published: August 2023

Abstract
We report the detection of a long-timescale negative lag, where the blue bands lag the red bands, in the nearby Seyfert 1 galaxy Fairall 9, with two independent methods. Active Galactic Nuclei (AGNs) light curves show variability over a wide range of timescales. By measuring time lags between different wavelengths, the otherwise inaccessible structure and kinematics of the accretion disk can be studied. One common approach, reverberation mapping, quantifies the continuum and line lags moving outward through the disk at the light-travel time, revealing the size and temperature profile of the disk. Inspired by numerical simulations, we expect longer lags to exist in AGN light curves that travel inward on longer timescales, tracing the accretion process itself. By analyzing AGN light curves in both temporal and frequency space, we report the detection of long-timescale lags (∼−70 days) in Fairall 9 that propagate in the opposite direction to the reverberation lag. The short continuum lag (<10 days) is also detected and is consistent with reverberation lags reported in the literature. When fitting the longer lag as a function of frequency with a model motivated by the thin disk model, we find that the disk scale height likely increases outward in the disk. This detection raises the exciting prospect of mapping accretion disk structures across a wide range of AGN parameters.
A Systematic Study of the Connection Between White Dwarf Period Spectra and Model Structure
Authors: Bischoff-Kim Agnès 
Published: August 2023

Abstract
To date, pulsational variability has been measured for nearly 70 pulsating helium-atmosphere white dwarfs (DBVs) and 500 pulsating hydrogen-atmosphere white dwarfs (DAVs), with only a fraction of these having been the subject of asteroseismic analysis. One way to approach white dwarf asteroseismology is forward modeling, where one assumes an interior structure and calculates the model’s periods. Many such models are calculated, in the search for the one that best matches the observed period spectrum. It is not computationally manageable, nor necessary, to vary every possible parameter for every object. We engage in a systematic study, based on a sample of 14 hydrogen-atmosphere white dwarfs, chosen to be representative of the types of pulsation spectra we encounter in white dwarf asteroseismology. These white dwarfs are modeled with carbon and oxygen cores. Our goal is to draw a connection between the period spectra and what parameters to which they are most sensitive. We find that the presence of longer-period modes generally muddies the mass and effective temperature determinations, unless continuous sequences of ℓ = 1 and ℓ = 2 modes are present. All period spectra are sensitive to the structure in the helium and hydrogen envelopes and most to at least some features of the oxygen abundance profile. Such sensitivity can be achieved either by the presence of specific low-radial-overtone modes, or by the presence of longer-period modes. Convective efficiency only matters when fitting periods greater than 800 s. The results of this study can be used to inform parameter selection and pave the way to pipeline asteroseismic fitting of white dwarfs.
Event Rate of Strongly Lensed Gravitational Waves of Stellar Binary Black Hole Mergers Produced by Dynamical Interactions
Authors: Chen Zhiwei 
Published: August 2023

Abstract
Gravitational waves emitted from stellar binary black hole (sBBH) mergers can be gravitationally lensed by intervening galaxies and detected by future ground-based detectors. A great amount of effort has been put into the estimation of the detection rate of lensed sBBH originating from the evolution of massive binary stars (EMBS channel). However, sBBHs produced by the dynamical interaction in dense clusters (dynamical channel) may also be dominant in our universe and their intrinsic distribution of physical properties can be significantly different from those produced by massive stars, especially mass and redshift distribution. In this paper, we investigate the event rate of lensed sBBHs produced via the dynamical channel by Monte Carlo simulations and the number is

16

−
12

+
4.7

yr−1 for the Einstein telescope and

24

−
17

+
6.8

yr−1 for Cosmic Explorer, of which the median is about ∼2 times the rate of sBBHs originating from the EMBS channel (calibrated by the local merger rate density estimated for the dynamical and the EMBS channel, i.e.,

∼

14

−
10

+
4.0

and

19

−
3.0

+
42

Gpc

−
3

yr

−
1

, respectively). Therefore, one may constrain the fraction of both the EMBS and dynamical channels through the comparison of the predicted and observed number of lensed sBBH events statistically.
Systematic Research of Low-redshift Optically Selected SDSS Type 2 AGNs but with Apparent Long-term Optical Variabilities from Catalina Sky Survey. I. Data Sample and Basic Results
Authors: Zhang XueGuang 
Published: August 2023

Abstract
The main objective of this article, the first in a dedicated series, is to report basic results on systematic research of low-redshift optically selected SDSS Type 2 active galactic nuclei (AGNs) but with apparent optical variabilities. For all the pipeline-classified Type 2 AGNs in SDSS DR16 with z < 0.3 and signal-to-noise ratio > 10, long-term optical V-band light curves are collected from the Catalina Sky Survey. Through all light curves described by a damped random walk process with process parameters of σ/(mag/days0.5) and τ/days, 156 Type 2 AGNs have apparent variabilities with process parameters at least 3 times larger than corresponding uncertainties and with ln(σ/(mag/days0.5)) > −4, indicating central AGN activity regions directly in the line of sight, leading the 156 Type 2 AGNs as misclassified Type 2 AGNs. Furthermore, based on spectroscopic emission features around Hα, 31 out of the 156 AGNs have broad Hα, indicating the 31 Type 2 AGNs are actually Type 1.8 and/or 1.9 AGNs. Meanwhile, 14 out of the 156 AGNs have multiepoch SDSS spectra. After checking multiepoch spectra of the 14 objects, no clues for appearance and/or disappearance of broad lines indicates true Type 2 AGNs rather than changing-look AGNs are preferred in the collected Type 2 AGNs with long-term variabilities. Moreover, a small sample of Type 2 AGNs have long-term variabilities with features roughly described by theoretical tidal disruption events (TDEs) expected t
−5/3, indicating probable central TDEs as further and strong evidence to support true Type 2 AGNs.
A comprehensive database of squirrel distribution and occurrence in South Asia
Authors: Udayraj Swati , D'Souza Senan , Aravind Palassery , Muni Rakesh , Rajamani Nandini 
Published: August 2023

The Squirrels of South Asia (SOSA) database compiles comprehensive distribution and occurrence information on all squirrel species that occur in this region (34 species). These 34 squirrel species, including tree, flying and ground squirrels, represent 14% of global sciurid diversity. The database collates curated data from various sources such as museums, literature, primary fieldwork, citizen science, and social media platforms and covers the entire distributional ranges of the target species, including countries in Central Asia and Southeast Asia when required. The SOSA database enhances our understanding of squirrel distribution, population dynamics, and their conservation needs in South Asia by consolidating information. It aims to be a valuable resource for researchers, conservationists, and wildlife enthusiasts.
As of March 2023, the database comprises over 40,000 records of 34 species in over 30 countries globally. Spending an average of 334 hours on each species, more than 20 data collectors put in over 10,000 hours to gather, curate, and build this database. The database has resulted in novel records of species occurrence in regions and countries that are poorly represented in currently available global data repositories. The current vesrion which has been made public via GBIF comprises of 1187 records of all 34 species across multiple sources. This is a subset of the SOSA database.
SPARSE 1.0: a template for databases of species inventories, with an open example of Czech birds
Authors: Tschernosterová Kateřina , Trávníčková Eva , Grattarola Florencia , Rosse Clara , Keil Petr 
Published: August 2023

Here we introduce SPARSE (acronym for "SPecies AcRoss ScalEs"), a simple and portable template for databases that can store data on species composition derived from ecological inventories, surveys, and checklists, with emphasis on metadata describing sampling effort and methods. Sparse can accommodate resurveys and time series, and data from different spatial scales, as well as complex sampling designs. SPARSE focuses on inventories that report multiple species for a given site, together with sampling methods and effort, which can be used in statistical models of true probability of occurrence of species. SPARSE is spatially explicit, and can accommodate nested spatial structures from multiple spatial scales, including sampling designs where multiple sites within a larger area have been surveyed, and the larger area can again be nested in an even larger region. Each site in SPARSE is represented either by a point, line (for transects), or polygon, stored in an ESRI shapefile. SPARSE implements a new combination our own field definitions with Darwin Core biodiversity data standard and its Humboldt core extension. The use of Humboldt core also makes SPARSE suitable for biodiversity data with temporal replication.
We provide an example use of the SPARSE framework by digitizing data on birds from the Czech Republic, from 348 sites and 524 sampling events, with 15,969 unique species-per-event observations of presence, abundance, or population density. To facilitate use without the need for a high-level database expertise, the Czech bird example is implemented as MS Access .accdb file, but can be ported to other database engines. The example of Czech birds complements other bird datasets from the Czech Republic, specifically the four gridded national atlases and the breeding bird survey which cover a similar temporal extent, but different locations and spatial scales.
The MOBIOS+: A FAIR (Findable, Accessible, Interoperable, and Reusable) Database for Mindanao's Terrestrial Biodiversity
Authors: Tanalgo Krizler , Dela Cruz Kier , Agduma Angelo , Respicio Jeaneth Magelen , Abdullah Sumaira , Ele Renee Jane , Hilario-Husain Bona Abigail , Rubio Meriam , Murray Sedra , Casim Lothy , Pantog Athea Mohidda , Balase Shiela Mae , Abdulkasan Rallyessa Mohann , Aguirre Chasty Andrea , Banto Nadjmussahar , Broncate Sheila Mae , Dimacaling Ace , Fabrero Gerald Vince , Lidasan Asraf , Lingcob Analiza , Millondaga Ariane , Panilla Kathlene Faye , Sinadjan Crystal Queen , Unte Norlaine 
Published: August 2023

Due to its complex geological history and the emergence of various biogeographic regions, the Philippines boasts an extraordinary array of flora and fauna. This unique combination has contributed to the country’s exceptional density of terrestrial species, positioning it among the highest in the world. Mindanao, in the southern part of the Philippines, is the second largest group of islands and supports high biodiversity of unique and threatened species of flora and fauna. However, consolidated biodiversity records and information remain unavailable for the region. Filling these significant gaps would advance understanding biodiversity patterns in Mindanao across time and space. The Mindanao Open Biodiversity Information (MOBIOS+) database aims to consolidate 21st-century biodiversity data and establish an open-access database. The database we present here is the first of its kind and currently the most comprehensive attempt to establish the largest consolidated database for Mindanao biodiversity. With its vast collection of biodiversity data, this database will prove to be a valuable resource for advancing biodiversity research and analysis. It will facilitate the identification of species and areas that require immediate conservation prioritization and action, addressing the urgent challenges posed by our rapidly changing planet.
The MOBIOS+ database is the first attempt to create a massive FAIR database aiming to collate biodiversity records in the Mindanao faunal region, South of the Philippines. The database currently includes 12,814 georeferenced species occurrences from 1,925 unique species or taxa from 10 animal classes from the Mindanao faunal region's terrestrial and freshwater bodies. We made all georeferenced species occurrences available in the Global Biodiversity Information Facility (GBIF) platform.
Efficacy of deep learning-based artificial intelligence models in screening and referring patients with diabetic retinopathy and glaucoma
Authors: Surya Janani , Garima  , Pandy Neha , Hyungtaek Rim Tyler , Lee Geunyoung , Priya MN Swathi , Subramanian Brughanya , Raman Rajiv 
Published: August 2023

Purpose:
To analyze the efficacy of a deep learning (DL)-based artificial intelligence (AI)-based algorithm in detecting the presence of diabetic retinopathy (DR) and glaucoma suspect as compared to the diagnosis by specialists secondarily to explore whether the use of this algorithm can reduce the cross-referral in three clinical settings: a diabetologist clinic, retina clinic, and glaucoma clinic.

Methods:
This is a prospective observational study. Patients between 35 and 65 years of age were recruited from glaucoma and retina clinics at a tertiary eye care hospital and a physician’s clinic. Non-mydriatic fundus photography was performed according to the disease-specific protocols. These images were graded by the AI system and specialist graders and comparatively analyzed.

Results:
Out of 1085 patients, 362 were seen at glaucoma clinics, 341 were seen at retina clinics, and 382 were seen at physician clinics. The kappa agreement between AI and the glaucoma grader was 85% [95% confidence interval (CI): 77.55–92.45%], and retina grading had 91.90% (95% CI: 87.78–96.02%). The retina grader from the glaucoma clinic had 85% agreement, and the glaucoma grader from the retina clinic had 73% agreement. The sensitivity and specificity of AI glaucoma grading were 79.37% (95% CI: 67.30–88.53%) and 99.45 (95% CI: 98.03–99.93), respectively; DR grading had 83.33% (95 CI: 51.59–97.91) and 98.86 (95% CI: 97.35–99.63). The cross-referral accuracy of DR and glaucoma was 89.57% and 95.43%, respectively.

Conclusion:
DL-based AI systems showed high sensitivity and specificity in both patients with DR and glaucoma; also, there was a good agreement between the specialist graders and the AI system.
Evaluation of ganglion cell complex and retinal nerve fiber layer thinning in epilepsy patients
Authors: Duran Mustafa , Aykaç Serdar , Eliaçık Sinan 
Published: August 2023

Purpose:
This study aimed to compare the perimacular ganglion cell complex (GCC) and peripapillary retinal nerve fiber layer (RNFL) thickness measurements of epileptic and healthy individuals.

Methods:
The right eyes of 38 epileptic and 38 healthy individuals who had been using antiepileptic drugs (AEDs) for at least 1 year were included in the study. Central macular thickness, perimacular GCC thickness and volume, and peripapillary retinal nerve fiber layers were measured by optical coherence tomography (OCT) device. Perimacular 1, 3, and 6 mm circle diameters of Early Treatment of Diabetic Retinopathy Study (ETDRS) were selected for GCC measurements.

Results:
In epilepsy patients, GCC was significantly lower in the 3 mm superior quadrant and 6 mm in all quadrants compared to the control group (P < 0.05). RNFL was significantly thinner in epilepsy patients only in the temporal-inferior quadrant (P < 0.05). There was no significant difference between the patients who received AEDs as monotherapy and polytherapy (P > 0.05).

Conclusion:
We found that epilepsy patients had significant thinning in the GCC layers and temporal-inferior quadrant of RNFL compared to the control group. Our findings from the study show that early retinal changes in epilepsy patients, especially perimacular GCC layers, can be followed up with OCT.
Training ambidexterity – A survey-based analysis on the dexterity of ophthalmologists in performing standard ophthalmic procedures
Authors: Ramesh Shruthy Vaishali , Ramesh Prasanna Venkatesh , Ray Prajnya , Ansar Sheik Mohamed , Madhanagopalan VG , Ramesh Meena Kumari , Rajasekaran Ramesh 
Published: August 2023

Purpose:
Our study was designed to determine ophthalmologists’ dexterity in performing standard ophthalmic procedures at various levels of expertise via a structured questionnaire.

Methods:
A structured questionnaire was administered via the Google platform from August 20 to September 19, 2022, to assess the perspectives and preferences of ophthalmologists concerning their proficiency in using their right hand, left hand, or both hands to perform routine tasks required in the practice of ophthalmic medicine and surgery.

Results:
Two hundred and three participants took part in the survey. A majority (n = 162, 79.8%) of the clinicians considered themselves right-handed, nine (4.4%) considered themselves left-handed, and 32 (15.7%) considered themselves ambidextrous. Also, 86% (n = 174) of the participants considered ambidexterity an essential trait in the practice of ophthalmic medicine and surgery. The number of cataract surgeries performed had an impact on the comfort of using both hands for performing anterior vitrectomy (P < 0.001), injection of viscoelastic (P < 0.001), and toric marking (P < 0.05), but not on the performance of capsulorhexis and switching of foot pedals. The number of procedures carried out had an impact on the comfort of using both hands in gonioscopy (P < 0.001), 90 D evaluation (P < 0.001), and 20 D evaluation (P < 0.05). More years of experience had an impact on skills involving the use of both hands for slit lamp joystick usage (P < 0.05) and laser procedures (P < 0.001).

Conclusion:
Irrespective of a person’s handedness, trained ambidexterity in the required fields is achievable and has a significant impact on one’s ability to perform the required skill optimally and appropriately.