bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Hubungan Kepadatan Penduduk dengan Pola Penyebaran COVID-19 Provinsi DKI Jakarta menggunakan Regresi Robust
Authors: Edriani Tiara Shofi , Rahmadani Anisa , Noor Dear Michiko Mutiara 
Published: May 2021

COVID-19 pandemic have been spread around the world since the first outbreak on Desember 2019 in Wuhan, China. DKI Jakarta as one of the highest population density among 34 provinces in Indonesia, has become an endemic area of COVID-19 with the rate of new cases show some fluctuation for each month along 2020. This is a secondary data research which drawn from Health Ministry of Indonesia as well as Center of Statistics for DKI Jakarta. Focus and the scope of this paper is on analyzing the relation between new cases of COVID-19 with population density of Jakarta’s districts. Descriptive and inferential analysis that combined with Robust Regression Test are conducted due to some outliers data. This unbiased method shows a good regression model of spreading new positive cases. M-Estimator Robust Regression with Tukey Bisquare function, shows the best result with the least Residual Standar Error (RSE), that is 0.411. Analysis on statistical test for the chosen model shows that population density has significant impacts on outbreak pattern of COVID-19 in Jakarta. But mobilities and interactions betweeen citizens has also give a great impact.
MODEL POPULASI NYAMUK DENGAN MELIBATKAN FAKTOR KONTROL DAN VARIASI MUSIM
Authors: Humairoh Mia Siti 
Published: May 2021

Nyamuk merupakan serangga yang mengalami metamorfosis sempurna, dimuali dari telur, pupa, larva (fase akuatik) hingga nyamuk dewasa (fase nonakuatik). Proses perkembangbiakan nyamuk, khususnya pada fase akuatik (air sebagai habitatnya) sangat dipengaruhi oleh kondisi cuaca. Model matematik dibangun untuk mengetaui dinamika populasi nyamuk dengan melibatkan faktor cuaca. Penggunaan temephos dan fumigasi juga dilibatkan dalam konstuksi model sebagai kontrol terhadap pertumbuhan nyamuk. Analisis kestabilan pada titik kesetimbangan disajikan untuk mengetahui kondisi populasi nyamuk seiring berjalannya waktu. Dari hasil simulasi diperoleh bahwa pengaruh musim mengakibatkan dinamika populasi larva dan nyamuk berosilasi setiap tahunnya dengan puncak pertumbuhan terjadi pada musim hujan. Disamping itu, penggunaan temephos da fumigasi secara signifikan dapat mengurangi jumlah populasi dari larva dan nyamuk.
Partisipasi Masyarakat dalam Program Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat (PAMSIMAS) di Kabupaten Aceh Jaya
Authors: Sufriadi Dedi , Zakaria  
Published: May 2021

Upaya mengatasi masalah ketersediaan air bersih dan peningkatan sanitasi masyarakat di Indonesia yaitu dengan melibatkan peran serta masyarakat dalam perencanaan, pelaksanaan dan pemeliharaan sarana dan prasara air bersih dan sanitasi yang ada di masyarakat. Pengabdian ini bertujuan untuk menganalisis bentuk dan faktor-faktor yang mendukung dan menghambat partisipasi masyarakat dalam Program PAMSIMAS serta manfaat lingkungan wilayah yang mendapatkan Program PAMSIMAS di Desa Lhok Geulumpang Kabupaten Aceh Jaya. Penelitian menggunakan analisis deskriptif kualitatif. Untuk melihat perencanaan partisipasi masyarakat dalam Program PAMSIMAS Desa Lhok Geulumpang Kabupaten Aceh Jaya dilakukan dengan menggunakan analisis SWOT yang menggambarkan kondisi internal dan eksternal kegiatan tersebut. Hasil penelitian menunjukkan bahwa bentuk partisipasi masyarakat pada perencanaan di Desa Lhok Geulumpang berupa sumbangan pikiran dalam bentuk usulan, saran dan kritik, saat pelaksanaan berupa incash (uang) dan inkind (kontribusi swadaya masyarakat/gotong royong). Peran tokoh masyarakat, Pemda dan Tim Fasilitator Masyarakat (TFM) mempengaruhi seluruh partisipasi masyarakat. Manfaat lingkungan yang diperoleh oleh wilayah yang mendapatkan Program PAMSIMAS masuk kedalam aspek keberlanjutan sarana air minum dan sanitasi yang terlihat melalui perubahan perilaku hidup bersih dan sehat. Dari penelitian yang dilakukan diperoleh rekomendasi peran stakeholder diperlukan untuk mengajak masyarakat Desa Lhok Geulumpang menghadiri dan memberikan usulan setiap pertemuan, pendekatan pembangunan model pemberdayaan masyarakat Program PAMSIMAS dapat ditiru dan dikembangkan untuk program pembangunan prasarana di lokasi lain, dukungan Pemerintah Daerah perlu dalam keberlanjutan diharapkan terus berjalan dan berkelanjutan, sehingga prasarana yang terbangun dapat terpelihara dan berfungsi.
Is There A Relationship Between The Umbilical Cord Coiling Index And Oxidative Stress Markers And SGA Fetuses?
Authors: Buyuk Gul Nihal , Kaplan Zeynep Asli Oskovi , Sert Umit Yasemin , Halilzade Inci , Neselioglu Salim , Erel Ozcan , Keskin Huseyin Levent 
Published: May 2021

Objective: We aimed to investigate the relationship between umblical coiling index and thiol/disulfide balance in SGA newborns to compare with AGA newborns.
Material and Methods: Fetal umbilical cord serum samples were collected during labour and the thiol/disulfide homeostasis was measured. After birth, umbilical cords were collected and cord parameters were examined including, length, number of coils, umbilical cord index.
Results: Significant decrease in native thiol, total thiol, and a significant increase in disulfide, disulfide/native thiol ratio and disulfide/total thiol ratios were observed in the study group while native thiol/total thiol ratio levels of the two groups did not reach to a statistical significance.
Conclusion: The results of this study showed that SGA babies had altered thiol homeostasis in favor of oxidative stress.
Maintenance periodontal therapy.
Authors: Arada Juan 
Published: May 2021

Introduction: Maintenance is a fundamental phase of the therapy and prevention of periodontal diseases. The objectives of this review are: a) To determine what are the aspects of maintenance periodontal therapy; b) know the value of maintenance on the long-term results of periodontal treatment; c) review the risk factors of the patient, the tooth and the location; d) establish a protocol of action in the different situations.
Material, methods and results: To carry out this work, 46 scientific articles have been analyzed.
The MEDLINE and Cochrane databases were used for the search.
Discussion:The goals of maintenance therapy are to prevent the initiation and recurrence of periodontal diseases. Regardless of the type of treatment we perform, the clinical parameters will not improve if maintenance by the professional is not carried out. To establish the intervals for the appointments and the locations to be treated, it will be essential to assess the risk factors associated with the patient, the tooth and the location.
Light Element Abundances and Multiple Populations in M53
Authors: Gerber Jeffrey M. , Friel Eileen D. , Vesperini Enrico 
Published: May 2021

Abstract
We present results from a study of 94 red giant stars in the globular cluster M53. We use low-resolution spectra to measure the strength of CN and CH features at ∼3800 and 4300 Å, respectively. The strengths of these features are used to classify stars into a CN-enhanced and CN-normal population and to measure C and N abundances in all 94 stars. We find the red giant branch stars to be evenly split between the two populations identified, and observe the presence of CN-enhanced stars on the asymptotic giant branch. In addition, we identify five CH star candidates based on the strength of their CN and CH band features, and the presence of a P-branch in their CH band. We compare our identification of multiple populations to those based on the Na–O anticorrelation and pseudo-color indices in Hubble Space Telescope UV photometry, and find general agreement between all three methods. Our large sample size also allows us to study the radial distribution of each population, and we find that the CN-enhanced population is more centrally concentrated. We use our C and N measurements to compare the evolutionary changes in these elements as a function of magnitude between the two populations, and show that both populations experience similar evolutionary changes to the surface abundances of C and N. Finally, we calculate C+N+O abundances for each population and compare them to similar measurements made in M10; we find that in both clusters, CN-enhanced stars have a slightly enhanced C+N+O (Δ(C+N+O) ∼ 0.2 dex).
A Low-mass Binary Neutron Star: Long-term Ejecta Evolution and Kilonovae with Weak Blue Emission
Authors: Kawaguchi Kyohei , Fujibayashi Sho , Shibata Masaru , Tanaka Masaomi , Wanajo Shinya 
Published: May 2021

Abstract
We study the long-term evolution of ejecta formed in a binary neutron star (NS) merger that results in a long-lived remnant NS by performing a hydrodynamics simulation with the outflow data of a numerical relativity simulation as the initial condition. At the homologously expanding phase, the total ejecta mass reaches ≈ 0.1 M
⊙ with an average velocity of ≈ 0.1 c and lanthanide fraction of ≈ 0.005. We further perform the radiative transfer simulation employing the obtained ejecta profile. We find that, contrary to a naive expectation from the large ejecta mass and low lanthanide fraction, the optical emission is not as bright as that in GW170817/AT2017gfo, while the infrared emission can be brighter. This light-curve property is attributed to preferential diffusion of photons toward the equatorial direction due to the prolate ejecta morphology; large opacity contribution of Zr, Y, and lanthanides; and low specific heating rate of the ejecta. Our results suggest that these light-curve features could be used as an indicator for the presence of a long-lived remnant NS. We also found that the bright optical emission broadly consistent with GW170817/AT2017gfo is realized for the case in which the high-velocity ejecta components in the polar region are suppressed. These results suggest that the remnant in GW170817/AT2017gfo is unlikely to be a long-lived NS but might have collapsed to a black hole within

s.
Coronal Conditions for the Occurrence of Type II Radio Bursts
Authors: Kouloumvakos Athanasios , Rouillard Alexis , Warmuth Alexander , Magdalenic Jasmina , Jebaraj Immanuel. C. , Mann Gottfried , Vainio Rami , Monstein Christian 
Published: May 2021

Abstract
Type II radio bursts are generally observed in association with flare-generated or coronal-mass-ejection-driven shock waves. The exact shock and coronal conditions necessary for the production of type II radio emission are still under debate. Shock waves are important for the acceleration of electrons necessary for the generation of the radio emission. Additionally, the shock geometry and closed field line topology, e.g., quasi-perpendicular shock regions or shocks interacting with streamers, play an important role for the production of the emission. In this study we perform a 3D reconstruction and modeling of a shock wave observed during the 2014 November 5 solar event. We determine the spatial and temporal evolution of the shock properties and examine the conditions responsible for the generation and evolution of type II radio emission. Our results suggest that the formation and evolution of a strong, supercritical, quasi-perpendicular shock wave interacting with a coronal streamer were responsible for producing type II radio emission. We find that the shock wave is subcritical before and supercritical after the start of the type II emission. The shock geometry is mostly quasi-perpendicular throughout the event. Our analysis shows that the radio emission is produced in regions where the supercritical shock develops with an oblique to quasi-perpendicular geometry.
Deconvolving Pulsar Signals with Cyclic Spectroscopy: A Systematic Evaluation
Authors: Dolch Timothy , Stinebring Dan R. , Jones Glenn , Zhu Hengrui , Lynch Ryan S. , Cohen Tyler , Demorest Paul B. , Lam Michael T. , Levin Lina , McLaughlin Maura A. , Palliyaguru Nipuni T. 
Published: May 2021

Abstract
Radio pulsar signals are significantly perturbed by their propagation through the ionized interstellar medium. In addition to the frequency-dependent pulse times of arrival due to dispersion, pulse shapes are also distorted and shifted, having been scattered by the inhomogeneous interstellar plasma, affecting pulse arrival times. Understanding the degree to which scattering affects pulsar timing is important for gravitational-wave detection with pulsar timing arrays (PTAs), which depend on the reliability of pulsars as stable clocks with an uncertainty of ∼100 ns or less over ∼10 yr or more. Scattering can be described as a convolution of the intrinsic pulse shape with an impulse response function representing the effects of multipath propagation. In previous studies, the technique of cyclic spectroscopy has been applied to pulsar signals to deconvolve the effects of scattering from the original emitted signals, increasing the overall timing precision. We present an analysis of simulated data to test the quality of deconvolution using cyclic spectroscopy over a range of parameters characterizing interstellar scattering and pulsar signal-to-noise ratio (S/N). We show that cyclic spectroscopy is most effective for high S/N and/or highly scattered pulsars. We conclude that cyclic spectroscopy could play an important role in scattering correction to distant populations of highly scattered pulsars not currently included in PTAs. For future telescopes and for current instruments such as the Green Bank Telescope upgraded with the ultrawide bandwidth receiver, cyclic spectroscopy could potentially double the number of PTA-quality pulsars.
The Powers of Relativistic Jets Depend on the Spin of Accreting Supermassive Black Holes
Authors: Chen 陈 Yongyun 永云 , Gu 顾 Qiusheng 秋生 , Fan 樊 Junhui 军辉 , Zhou 周 Hongyan 宏岩 , Yuan 袁 Yefei 业飞 , Gu 顾 Weimin 为民 , Wu 吴 Qinwen 庆文 , Xiong 熊 Dingrong 定荣 , Guo 郭 Xiaotong 晓通 , Ding 丁 Nan 楠 , Yu 俞 Xiaoling 效龄 
Published: May 2021

Abstract
Theoretical models show that the power of relativistic jets of active galactic nuclei depends on the spin and mass of the central supermassive black holes, as well as the accretion. Here we report an analysis of archival observations of a sample of blazars. We find a significant correlation between jet kinetic power and the spin of supermassive black holes. At the same time, we use multiple linear regression to analyze the relationship between jet kinetic power and accretion, spin, and black hole mass. We find that the spin of supermassive black holes and accretion are the most important contributions to the jet kinetic power. The contribution rates of both the spin of supermassive black holes and accretion are more than 95%. These results suggest that the spin energy of supermassive black holes powers the relativistic jets. The jet production efficiency of almost all Fermi blazars can be explained by moderately thin, magnetically arrested accretion disks around rapidly spinning black holes.
FoodChain-Lab Web: An integrative modular software to visualise and analyse complex global food supply chain networks during foodborne incidents
Authors: Gottschald Marion , Lewicki Birgit , Falenski Alexander , Rügen Marco , Gerber Isaak , Fusiak Jakub , Tölle Dominic , Käsbohrer Annemarie , Weiser Armin 
Published: May 2021

In times of globalised food and feed trade, powerful integrative software tools are essential to solve foodborne crises quickly and reliably. The FoodChain-Lab web application (FCL Web; https://fcl-portal.bfr.berlin/) is such a tool. FCL Web is free and open-source software which helps to trace back and forward food along complex global supply chains during foodborne disease outbreaks or other food-related events. In the framework of One Health EJP COHESIVE, the efforts of several national and international tracing-related software projects are integrated within FCL Web to provide a modular tracing platform following the One Health approach.
FCL Web unifies interactive tracing data visualisation, analysis as well as reporting - and in the future data collection - in one modular tracing platform (Fig. 1). The interactive analysis module was developed in a project with EFSA and offers automated visualisation of supply chains based on the needs of the user. A data table displays key information on involved food business operators and food items and includes comprehensive filter functions to analyse the information given in the table. The analysis module also helps to run simulations on hypothetical cross contamination or geographic clustering events during outbreaks via a scoring algorithm for deliveries and food business operators. A pilot version of a reporting module was integrated in FCL Web as well to display tracing, sample and case information in a format suitable for publishing tracing results in outbreak reports. A web-based tracing data collection mask offering a guided and structured data assessment with access to curated data was developed in a national project and will be integrated in FCL Web soon. Its multi-language design allows for potential European-wide use. In the future, more modules, e.g. to analyse genome sequencing data in the context of tracing are planned for FCL Web.
With its features and its integrative approach, FCL Web blends seamlessly into a list of crucial tracing tool projects in Europe. In the future, these tools will be strongly interconnected to serve several tracing purposes on the local, national or European level. Hence, there is a need to improve interoperability of the tools e.g. via a universal data exchange format.
How much time have we got?
Authors: Kausrud Kyrre , Lagesen Karin , Easterday Ryan , Whittington Jason , Turner Wendy , Wolff Cecilia , Feiring Marie , Stenseth Nils 
Published: May 2021

Here we present a developing probabilistic simulation model and tool to assess likely lead times from emergence to detection and arrival for new emerging infectious diseases (EIDs). Key aspects include combining real-world data available on multiple scales with a flexible underlying disease model.
As demonstrated by the SARS-CoV-2 pandemic and other emerging infectious diseases, there is a need for scenario exploration for mitigation, surveillance and preparedness strategies. Existing simulation engines have been assessed but found to offer an insufficient set of features with regards to flexibility and control over processes, disease model structure and data sets incorporated for a wider enough range of diseases, circumstances, cofactors and scenarios (Heslop et al. 2017) to suit our aims.
We are therefore developing the first version of a simulation model designed to be able to incorporate a diverse range of disease models and data sources including multiple transmission and infectivity stages, multiple host species, varying and evolving virulence, socioeconomic differences, climate events and public health countermeasures. It is designed to be flexible with respect to implementing both improvements in the model structure and data as they become available. It is based on a discrete-time (daily) structure where spatial movement and transition between categories and detection are stochastic rates dependent on spatial data and past states in the model, while being informed by the most suitable data available (Fig. 1).
The probability of detection is in itself treated as a probabilistic process and treated as a variable dependent on socioeconomic factors and parameterized by past performance, yet open for manipulation in scenario exploration regarding surveillance and reporting effectiveness.
Pathogen hotspot data are sourced from literature and included as a probabilistic assessment of emergence as well as a source of cofactor data (Allen et al. 2017), population data are adressed (Leyk et al. 2019) for utility and combined with data on local connectivity (Nelson et al. 2019) and transnational movement patterns (Recchi et al. 2019Fig. 1), as well as an increasing set of ecological and socioeconomic candidate variables.
Model parameterization relies on a machine learning framework with matching to the often partial data available for known relevant disease cases as the training data, and assessing them for plausible ranges of input for new, hypothetical EIDs.
As parameterizations improve, the range of scenarios to explore will incorporate effects of climate change and multiple stressors. When a suitable version becomes available it will be shared under a MIT license.
Occurrence of fish species in the inland water of Murmansk Region (Russia): research in 1972-2021
Authors: Zubova Elena , Kashulin Nikolay , Terentyev Petr , Melekhin Alexey , Fedorov Roman , Shalygin Sergei 
Published: May 2021

Knowledge about the distribution of organisms on Earth is important backbone of biological sciences and especially for deeper understanding of biogeography. However, much of the existing distributional data are scattered throughout a multitude of sources (including in different languages), such as taxonomic publications, checklists and natural history collections and often, bringing them together is difficult. Development of the digital storage facilities may prevent loss of important data (Ruchin et al. 2020). Project GBIF is a good example of a successful data storage facility, which allows investigators to publish biodiversity data in one safe place in one uniform format. Our dataset describes the degree of the investigation of the fish fauna of the inland water of the Murmansk Region. Murmansk Region is a Euro-Arctic Region with a heterogeneous landscape, which determines diversity of the habitats for the fish occurrence. Our dataset contains valid information about distribution of the fish species. This dataset was built upon information obtained by the members of a Laboratory of the aquatic ecosystems of the Institute of North Industrial Ecology Problems of Kola Science Center of the Russian Academy of Science (INEP KSC RAS). The dataset includes 18,509 records about 16 fish species from 14 genera (eight families) collected from 1972 to 2021. A total of 67 water bodies from 15 different basins (rivers from basins of the White and Barents Seas) was screened in order to characterise ichthyocenoses. The main purpose of publishing a database is to make our data available in the global biodiversity system to a wide range of users. The data can be used by researchers, as well as helping the authorities to manage their territory more efficiently.
All occurrences are published in GBIF for the first time. We would like to make this data available to everyone by adding it in the global biodiversity database (GBIF).
L’enseignement universitaire en milieu carcéral
Authors: Prestopino Fabio 
Published: May 2021

L’expérience italienne des pôles universitaires pénitentiaires (P.U.P.) est l’un des phénomènes les plus importants dans le cadre du traitement rééducatif des condamnés, prévu par l’art. 27 de la Constitution et mis en œuvre dans les règles de l’Organisation et du Règlement pénitentiaire. S’agissant d’une expérience récente, bien qu’en rapide expansion, peu de données sont disponibles, pour la plupart statistiques. Par ailleurs, la répartition des P.U.P. sur le territoire national est inégale. Il est donc difficile d’offrir une lecture organique du système universitaire à l’intérieur des prisons italiennes, au-delà de l’engagement de certaines universités et des directions des établissements. On propose donc ici une analyse socio-pénitentiaire du phénomène, en partant des migrations du Sud vers le Centre Nord Italie, en supposant les raisons de la prédilection des personnes détenues vers certains parcours d’études plutôt que d’autres.