bluuebunny/crossref_metadata_2025_split huggingface dataset:
FERIA: Flat Envelope Model with Rotation and Infall under Angular Momentum Conservation
Authors: Oya Yoko , Kibukawa Hirofumi , Miyake Shota , Yamamoto Satoshi 
Published: September 2022

Abstract
Radio observations of low-mass star formation in molecular spectral lines have rapidly progressed since the advent of the Atacama Large Millimeter/submillimeter Array (ALMA). The gas distribution and its kinematics within a few hundreds of astronomical unit scale around a Class 0–I protostar are spatially resolved, and the region where a protostellar disk is being formed is now revealed in detail. In such studies, it is essential to characterize the complex physical structure around a protostar consisting of an infalling envelope, a rotationally supported disk, and an outflow. For this purpose, we have developed a general-purpose computer code “FERIA” (Flat Envelope model with Rotation and Infall under Angular momentum conservation) to generate the image data cube based on the infalling-rotating envelope model and the Keplerian disk model, both of which are often used in observational studies. In this paper, we present the description and the user manual of FERIA and summarize caveats in actual applications. This program outputs cube FITS files, which can be used for direct comparison with observations. It can also be used to generate mock data for machine/deep learning. Examples of these applications are described and discussed to demonstrate how the model analyses work with actual observational data.
KMTNet Nearby Galaxy Survey: Overview and Survey Description
Authors: Byun Woowon , Sheen Yun-Kyeong , Seon Kwang-Il , Ho Luis C. , Lee Joon Hyeop , Jeong Hyunjin , Kim Sang Chul , Park Byeong-Gon , Lee Yongseok , Cha Sang-Mok , Kim Minjin 
Published: September 2022

Abstract
Recently, there has been increasing demand for deep imaging surveys to investigate the history of the mass assembly of galaxies in detail by examining the remnants of mergers and accretions, both of which have very low surface brightness (LSB). In addition, the nature of star formation in LSB regions, such as galaxy outer disks, is also an intriguing topic in terms of understanding the physical mechanisms of disk evolution. To address these issues, this study conducted a survey project, called the Korea Microlensing Telescope Network Nearby Galaxy Survey, to construct a deep imaging data set of nearby galaxies in the southern hemisphere. It provides deep and wide-field images with a field of view of ∼12 deg2 for 13 nearby galaxies drawn from the Carnegie–Irvine Galaxy Survey catalog in optical broad bands (BRI) and an Hα narrow band. Through a dedicated data reduction, the surface brightness limit in 10″ × 10″ boxes was found to reach as deep as μ
1σ
∼ 29–31 mag arcsec−2 in the optical broad bands and f
1σ
∼ 1–2 × 10−18 erg s−1 cm−2 arcsec−2 in the Hα narrow band. To conclude the paper, several possible scientific applications for this data set are described.
Peculiar Black Hole Accretion Rates in AGN with Highest Star Formation Rates in the Universe
Authors: Garofalo David , Pouliasis Ektoras 
Published: September 2022

Abstract
Pouliasis et al. explored star formation rates, black hole accretion rates, and stellar mass of active galaxies at redshift above 3.5, uncovering a leveling off of the star formation rate at high stellar mass, which they consider to be evidence of AGN feedback. Their data shows that as AGN approach the flattening of the curve in the star formation rate—stellar mass plane, the accretion rates begin to drop. We describe the nature of the AGN feedback responsible for this in terms of powerful FRII jets enhancing star formation rates but eventually also triggering a shift in accretion from near-Eddington rates to advection dominated. These systems are on the cusp of a dramatic transition where the active galaxy goes from strong enhancement to large suppression of star formation in a way that produces the steeper slope for radio AGN at low redshift compared to radio AGN at higher redshift and to jetless AGN. We argue, therefore, that the data of Pouliasis et al. constitute the high redshift objects predicted by Singh et al. that connect to the low redshift behavior of radio AGN shown in Comerford et al.
Escape rate of an active Brownian particle in a rough potential
Authors: Wang Yating , Tu Zhanchun 
Published: September 2022

AbstractWe discuss the escape problem with the consideration of both the activity of particles and the roughness of potentials. We derive analytic expressions for the escape rate of an active Brownian particle in two types of rough potentials by employing the effective equilibrium approach and the Zwanzig method. We find that activity enhances the escape rate, but both the oscillating perturbation and the random amplitude hinder escaping.
Femtosecond-comb based 10 MHz-to-optical frequency link with uncertainty at the 10−18 level
Authors: Wada Masato , Inaba Hajime 
Published: September 2022

Abstract
The International System of Units (SI) definition of the ‘second’ is likely to be redefined in the optical frequency region in the near future. Therefore, uncertainty reduction in the frequency link between 10 MHz, which is used in the frequency link with an artificial satellite, and the ultrastable laser for observing clock transitions in optical clocks, is an important issue for numerical determination in the new definition and for International Atomic Time operation after the redefinition. We have evaluated all the possible uncertainty factors in the frequency link with a femtosecond comb between 10 MHz and an optical frequency and obtained the lowest uncertainty yet reported of 3.9 × 10−18 by temperature-stabilizing RF multipliers and by using temperature insensitive coaxial cables. Furthermore, we have validated the uncertainty of the frequency link by simultaneously measuring an optical frequency of an identical laser using two femtosecond combs referenced to a common 10 MHz source and confirmed to be consistent with the evaluated uncertainty.
Coherent fiber links operated for years: effect of missing data
Authors: Tønnes Mads Bebe Krog , Schuller Frédéric , Cantin Etienne , Lopez Olivier , Le Targat Rodolphe , Amy-Klein Anne , Pottie Paul-Éric 
Published: September 2022

Abstract
Aiming at delivering a highly available service, the French national optical fiber link network is run mostly unmanned and automatically, with the help of a global supervision. However, at a year scale, missing data are seemingly unavoidable. Here, we present a first study of the uncertainty of coherent fiber links with missing data. We present the tools to assess statistical properties for processes which are not strictly stationary, and a simulation of optical fiber links depending only on a handful of parameters. We show how missing data affects the phase-coherent optical fiber links, and how to mitigate the issue with a fill-in procedure that preserves the statistical properties. We apply the method for a 5 years-long data set of a 1410 km long fiber link. Second, we apply the method to the case of optical clock comparisons, where the downtimes of the optical clocks degrade the coherence of the links. We show that our methodology of processing the missing data is robust and converges to consistent mean values, even with very low uptimes. We present an offset and uncertainty contribution from the French fiber network of 2.4 (9.0) × 10−20, that is an improvement by a factor 5 as compared to a processing without taking the effect of missing data into account.
Correlated continuous-time random walk with stochastic resetting
Authors: Zhang Caiyun , Hu Yuhang , Liu Jian 
Published: September 2022

Abstract
It is known that the introduction of stochastic resetting in an uncorrelated random walk process can lead to the emergence of a stationary state, i.e. the diffusion evolves towards a saturation state, and a steady Laplace distribution is reached. In this paper, we turn to study the anomalous diffusion of the correlated continuous-time random walk considering stochastic resetting. Results reveal that it displays quite different diffusive behaviors from the uncorrelated one. For the weak correlation case, the stochastic resetting mechanism can slow down the diffusion. However, for the strong correlation case, we find that the stochastic resetting cannot compete with the space-time correlation, and the diffusion presents the same behaviors with the one without resetting. Meanwhile, a steady distribution is never reached.
Adaptive strategies in Kelly’s horse races model
Authors: Despons Armand , Peliti Luca , Lacoste David 
Published: September 2022

Abstract
We formulate an adaptive version of Kelly’s horse model in which the gambler learns from past race results using Bayesian inference. We characterize the cost of this gambling strategy and we analyze the asymptotic scaling of the difference between the growth rate of the gambler and the optimal growth rate, known as the gambler’s regret. We also explain how this adaptive strategy relates to the universal portfolio strategy, and we build improved adaptive strategies in which the gambler exploits the information contained in the bookmaker odds distribution.
Performance in beam tests of irradiated Low Gain Avalanche Detectors for the ATLAS High Granularity Timing Detector
Authors: Agapopoulou C. , Alderweireldt S. , Ali S. , Ayoub M.K. , Benchekroun D. , Castillo García L. , Chan Y.H. , El Jarrari H. , Falou A. , Ferreira A. , Gkougkousis E.L. , Grieco C. , Grinstein S. , Große-Knetter J. , Guimarães da Costa J. , Guindon S. , Henriques Correia A.M. , Hidalgo S. , Howard A. , Hsu P.J. , Huang Y.C. , Khoulaki Y. , Kramberger G. , Kuwertz E.S. , Lange J. , Li C. , Li Q. , Lin H.C. , Lu Y.J. , Makovec N. , Masetti L. , Mazini R. , Mazza S.M. , Nikolic I. , Pellegrini G. , Quadt A. , Reynolds B. , Rizzi C. , Robles Manzano M. , Rummler A. , Sacerdoti S. , Serin L. , Soengen J. , Tayalati Y. , Terzo S. , Tolley E. , Trincaz-Duvoid S. , Wang S.M. , Yang X. 
Published: September 2022

Abstract
The High Granularity Timing Detector (HGTD) will be
installed in the ATLAS detector to mitigate pile-up effects during
the High Luminosity (HL) upgrade of the Large Hadron Collider (LHC)
at CERN. The design of the HGTD is based on the use of Low Gain
Avalanche Detectors (LGADs), with an active thickness of
50 μm, that allow to measure with high-precision the time of
arrival of particles. The HGTD will improve the particle-vertex
assignment by measuring the track time with a resolution ranging
from approximately 30 ps at the beginning of the HL-LHC operations
to 50 ps at the end. Performances of several unirradiated, as well
as neutron- and proton-irradiated, LGAD sensors from different
vendors have been measured in beam test campaigns during the years
2018 and 2019 at CERN SPS and DESY. This paper presents the results
obtained with data recorded by an oscilloscope synchronized with a
beam telescope which provides particle position information within a
resolution of a few μm. Collected charge, time resolution and
hit efficiency are presented. In addition to these properties, the
charge uniformity is also studied as a function of the position of
the incident particle inside the sensor pad.
Electric-field-coupled oscillators for collective electrochemical perception in biohybrid robotics
Authors: Kernbach Serge 
Published: September 2022

Abstract
This work explores the application of nonlinear oscillators coupled by an electric field in water, inspired by weakly electric fish. Such coupled oscillators operate in clear and colloidal (mud, bottom silt) water and represent a collective electrochemical sensor that is sensitive to global environmental parameters, the geometry of the common electric field and spatial dynamics of autonomous underwater vehicles (AUVs). Implemented in hardware and software, this approach can be used to create global awareness in a group of robots, which possess limited sensing and communication capabilities. Using oscillators from different AUVs enables extension of the range limitations related to the electric dipole of a single AUV. Applications of this technique are demonstrated for detecting the number of AUVs, distances between them, perception of dielectric objects and synchronization of behavior. Recognizing self-/nonself-generated signals by electric fish is re-embodied in a technological way through an ‘electrical mirror’ for discrimination between ‘collective self’ and ‘collective nonself’. These approaches have been implemented in several research projects with bioinspired/biohybrid systems in fresh and salt water, and electrochemical sensing in fluidic media.
Simulating burn severity maps at 30 meters in two forested regions in California
Authors: Sam Jonathan A , Baldwin W Jonathan , Westerling A LeRoy , Preisler Haiganoush K , Xu Qingqing , Hurteau Matthew D , Sleeter Benjamin M , Thapa Samrajya B 
Published: September 2022

Abstract
Climate change is altering wildfire and vegetation regimes in California’s forested ecosystems. Present day fires are seeing an increase in high burn severity area and high severity patch size. The ability to predict future burn severity patterns could better support policy and land management decisions. Here we demonstrate a methodology to first, statistically estimate individual burn severity classes at 30 meters and second, cluster and smooth high severity patches onto a known landscape. Our goal here was not to exactly replicate observed burn severity maps, but rather to utilize observed maps as one realization of a random process dependent on climate, topography, fire weather, and fuels, to inform creation of additional realizations through our simulation technique. We developed two sets of empirical models with two different vegetation datasets to test if coarse vegetation could accurately model for burn severity. While visual acuity can be used to assess the performance of our simulation process, we also employ the Ripley’s K function to compare spatial point processes at different scales to test if the simulation is capturing an appropriate amount of clustering. We utilize FRAGSTATS to obtain high severity patch metrics to test the contiguity of our high severity simulation. Ripley’s K function helped identify the number of clustering iterations and FRAGSTATS showed how different focal window sizes affected our ability to cluster high severity patches. Improving our ability to simulate burn severity may help advance our understanding of the potential influence of land and fuels management on ecosystem-level response variables that are important for decision-makers. Simulated burn severity maps could support managing habitat and estimating risks of habitat loss, protecting infrastructure and homes, improving future wildfire emissions projections, and better mapping and planning for fuels treatment scenarios.
Isolation and Screening of Laccase-producing Fungi from Sawdust-contaminated Sites in Ado-Odo Ota, Ogun State, Nigeria
Authors: Akinyemi O. D. , Ahuekwe E. F. , Akinduti P. A. , Oziegbe O. , Oniha M. I. , Ichor T. , Alade B. M. , Ezekiel O. M. , Adekeye B. T. , Kuye A. O. 
Published: September 2022

AbstractThe environmental imbalance exerted by the continuous release of phenolic substances necessitates a return of polluted sites to natural and safe status. In this study, fungal isolates obtained from sawdust-contaminated soils were screened for laccase production capacities, using tannic acid, as an index to the bio-stimulatory potentials of the sawdust. Soil and sawdust samples collected from wood-processing plants in Morogbo-Agbara (M), Iju (I), and Oja (O) of Ado-Odo/Ota, Ogun State, Nigeria were subjected to physicochemical analysis. The phenolic content estimated using gallic acid calibration curve, showed 0.90%, 0.79% and 0.33% for the soil samples labeled MSL, ISL, OSL, respectively. Phenol content was observed to be 0.63%, 0.91%, and 0.53% for sawdust samples labeled MSD, ISD, OSD, respectively. In the same labeling order, the percentage nitrogen content was 0.77%, 0.38%, and 0.21% for soil; and 0.0025%, 0.0035% and 0.0028% for sawdust; while the percentage carbon was 0.25%, 0.62% and 0.49% for soil samples; and 88.11%, 85.56%, and 88.69% for the sawdust samples. Fungal species ofAspergillus, Penicillium, CandidaandSaccharomycesamong the ten isolates presented a positive reaction for laccase production by showing a brownish-black coloration. The ability of the fungal isolates to produce laccase makes them useful laccase sources for industrial and environmental applications.
Toxicity and Cytotoxicity Effects of Selected Nanoparticles: A Review
Authors: Odaudu O. R. , Akinsiku A. A. 
Published: September 2022

Abstract
The appreciable development in nanotechnology has drawn the attention of several researchers cutting across different fields. However, some nanoparticles have been identified to possess harmful effects on humans and the environment. Hence, putting these cause and effect patterns into context is highly required for future research and discussions about nanotechnology. This study reviewed existing literature on the toxicity and cytotoxicity effects of some nanoparticles to compare reaction patterns. Many kinds of research used different cell cultures, including cancer cell lines, human endothelial cells, hepatic cells, which were tested both in vitro and in vivo to check the mechanism of the possible toxicity effects. Adverse effects of nanoparticles identified involved damaged DNA leading to mutations and generation of reactive oxygen species (ROS). The prominent identified common toxicity responses in nanoparticle-cell interaction were lysosomes formation interference, necrosis and apoptosis, nanoparticles and protein interaction, and agglomerate formation in other body parts. Some reports showed that the causes of these responses might be due to the physicochemical properties of the interrogated particles, such as particle size, shape, surface functionalisation, surface charge. Furthermore, nanoparticles’ toxicity effects are both concentration-dependent and time-dependent, highly pronounced in chemical or physical-based synthetic routes. Cytotoxic effects of nanoparticles were mainly linked to their synthetic method, nature of the reducing agent, and culture media.
Evaluation of the Effectiveness of Perceptible Principle of Universal Design in Shopping Malls in Southwest Nigeria
Authors: Adewale B. A. , Jegede F. O. , Sogbetun O. T. 
Published: September 2022

Abstract
Universal Design (UD) is a concept that encompasses strategies in design that provides comfort, flexibility and adaptability in the built environment and improves the quality of life of all human beings. Perceptible information as a principle of UD that needs to be incorporated in the design of shopping malls in southwest Nigeria because it helps communicate sensorial information effectively to users notwithstanding the condition of the users or their sensory capacities. The aim of this study is to evaluate the use of perceptible information in shopping malls located in southwest Nigeria with a view to providing a standard for designing shopping malls that fulfill all requirements of UD. The quantitative method of data collection was used to obtain data. The data obtained was statistically analyzed and used to generate results related to the study. The Statistical Package of the Social Sciences (SPSS) was used for the statistical analysis and the results were presented using descriptive texts, figures, plates and tables. The study uncovered that the application of perceptible information as a UD principle in shopping malls in southwest Nigeria is insufficient. The study concluded by recommending various strategies through which perceptible information can be implemented in shopping malls in southwest Nigeria.
Space Adaptability Strategies and Building Performance in Selected Entertainment Centres in Nigeria
Authors: Akerele Fiyinfoluwa Stacy , Oluwatayo Adedapo A. , Kolade Kehinde , Olusore Shalom Pelumi 
Published: September 2022

Abstract
Studies have shown that there is a need to adapt buildings over their lifespan to environmental, economic and social changes. This will help enhance the decision-making process of building design and the development of a more sustainable built environment over a while. Anecdotal evidence suggests that entertainment centres in Nigeria often cease to meet their performance criteria over time as the entertainment needs of users change. The purpose of this study is to identify space adaptability strategies that influence the performance level of selected entertainment centres in Nigeria. Four entertainment centres were selected for this study. Respondents were users of the buildings. A total of 86 copies of the questionnaire were retrieved from the users of these selected entertainment centres. The data were analysed statistically using descriptive, predictive and inferential statistics. The sample size from each of the buildings was determined using census sampling with a total of 86 respondents collectively from the four selected entertainment centres. The findings from the study suggested that only 7 of the 37 identified adaptability strategies had a significant effect on the performance of these entertainment centres. These include space modularity, versatility of spaces, convertibility of spaces, reversible spaces, space scalability, space mobility and adjustability. The results of this study showed that while space modularity has a negative influence on the perception of security, social and cultural performance; versatility of spaces positively influenced that performance dimension. This study, therefore, concluded that, concerning entertainment centres, adaptability may not have influenced the performance in terms of functionality, equitable use, efficiency and psychological pleasure; however, security of such facilities may be enhanced by providing versatile spaces. The study recommended that architects should focus on versatility of spaces in the design of entertainment centres as it has been discovered to positively influence the security, social and cultural performance level of entertainment centres.
Investigation of Passive Cooling Strategies in Selected Shopping Malls, Southwestern Nigeria
Authors: Izobo-Martins O. O. , Oyelami B. J. , Agboola O. O. , Ejale E. A. 
Published: September 2022

Abstract
There is a growing concern about shopping malls’ energy consumption, and this has stimulated responses to the demand for passive features in their design from the building industry. Heating, ventilation, and air conditioning (HVAC) systems was the main focus of this study. The study investigated the compliance level of selected shopping malls in southwestern, Nigeria to passive cooling design strategies. Shopping malls that were built in the last 10 years were selected for the study. Data for this study was gathered through observation guide and case studies. It was observed that the selected shopping malls did not fully adopt passive cooling design strategies as it was observed that most of them still depends on HVAC system. This indicates that passive cooling design strategies was not considered when the malls were at the design stage. The study recommends that different passive cooling strategies should be considered when designing future shopping malls so as to optimize energy efficiency. Furthermore, regulatory authorities and allied professionals should see to compliance of future shopping malls design at design, planning and approval stage.