bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is there a correlation between complete blood count parameters and nutritional risk score 2002, geriatric nutritional risk index and nutric score in geriatric patients admitted to intensive care unit
Authors: BALDEMİR Ramazan , ERASLAN DOĞANAY Güler 
Published: January 2022

Aim: Malnutrition is a common condition especially in geriatric patients admitted to intensive care. There are various screening tools to be used in the evaluation of nutritional status in geriatric patients hospitalized in intensive care. However, a laboratory test has not been found yet for nutritional status assessment. With this study, we aimed to investigate whether there is a correlation between NLR, PLR, and complete blood count parameters at the time of admission to the intensive care unit and NRS-2002, GNRI, and mNutric Score measured in the intensive care unit.
Material and Method: This retrospective study was performed in a tertiary intensive care unit of a Chest Diseases Hospital. Patients aged 65 and over were included in the study. Demographic data, length of stay in intensive care, complete blood count on the day of admission to the intensive care unit, albumin value, NLR, PLR, NRS-2002, GNRI, and mNutric Score values were recorded.
Results: A total of 218 geriatric patients were analyzed. It was determined that 72.5% of the patients were at medium/high risk in terms of nutritional risk according to the GNRI classification, 76.6% were at high risk according to NRS-2002, and 84.9% were at high risk according to the mNutric score. According to the GNRI, the MPV values were statistically significantly higher (p
Characterization and evaluation of conventional seeded Kinnow (Citrus reticulata Blanco) versus a novel less seeded Kinnow strain under Sahiwal climatic zone
Authors: Sharif Naseem , Siddique Imran Muhammad , Nawaz Muhammad Zaighum , Riaz Sitwat 
Published: January 2022

Kinnow is the sole exportable entity among citrus fruits of Pakistan, but occurrence of large seed number is a big hindrance towards consumer acceptability and processing industry. Production of a less seeded/seedless Kinnow could boost the market value globally. The study described here was conducted at Horticultural research Station Sahiwal, Punjab Pakistan during 2018-2020. Specific morphological traits (linked to tree, leaf, and fruit) and physical and biochemical traits (linked to fruits) were evaluated to make a comparison between conventionally growing Kinnow and a novel less seeded Kinnow strain. Most of the estimated characters varied in their performance and were comparatively better in seeded Kinnow but performance of less seeded Kinnow strain was also quite good and promising. It was concluded from the study that less seeded Kinnow strain is almost equally good in performance regarding physical and nutritional features and can prove to be a great contribution towards expanding the citrus industry to fetch higher market value both in domestic and international markets.
Mining the Ultrahot Skies of HAT-P-70b: Detection of a Profusion of Neutral and Ionized Species
Authors: Bello-Arufe Aaron , Cabot Samuel H. C. , Mendonça João M. , Buchhave Lars A. , Rathcke Alexander D. 
Published: January 2022

Abstract
With an equilibrium temperature above 2500 K, the recently discovered HAT-P-70b belongs to a new class of exoplanets known as ultrahot Jupiters: extremely irradiated gas giants with day-side temperatures that resemble those found in stars. These ultrahot Jupiters are among the most amenable targets for follow-up atmospheric characterization through transmission spectroscopy. Here, we present the first analysis of the transmission spectrum of HAT-P-70b using high-resolution data from the HARPS-N spectrograph of a single-transit event. We use a cross-correlation analysis and transmission spectroscopy to look for atomic and molecular species in the planetary atmosphere. We detect absorption by Ca ii, Cr i, Cr ii, Fe i, Fe ii, H i, Mg i, Na i, and V i, and we find tentative evidence of Ca i and Ti ii. Overall, these signals appear blueshifted by a few km s−1, suggestive of winds flowing at high velocity from the day side to the night side. We individually resolve the Ca ii H and K lines, the Na i doublet, and the Hα, Hβ, and Hγ Balmer lines. The cores of the Ca ii and H i lines form well above the continuum, indicating the existence of an extended envelope. We refine the obliquity of this highly misaligned planet to

107.9

−
1.7

+
2.0

degrees by examining the Doppler shadow that the planet casts on its A-type host star. These results place HAT-P-70b as one of the exoplanets with the highest number of species detected in its atmosphere.
Finding Fast Transients in Real Time Using a Novel Light-curve Analysis Algorithm
Authors: Strausbaugh Robert , Cucchiara Antonino , Dow Jr. Michael , Webb Sara , Zhang Jielai , Goode Simon , Cooke Jeff 
Published: January 2022

Abstract
The current data acquisition rate of astronomical transient surveys and the promise for significantly higher rates in the next decade necessitate the development of novel approaches to analyze astronomical data sets and promptly detect objects of interest. The Deeper, Wider, Faster (DWF) program is a survey focused on the identification of fast-evolving transients, such as fast radio bursts, gamma-ray bursts, and supernova shock breakouts. It employs multifrequency simultaneous coverage of the same part of the sky over several orders of magnitude. Using the Dark Energy Camera mounted on the 4 m Blanco telescope, DWF captures a 20 s g-band exposure every minute, at a typical seeing of ∼1″ and an air mass of ∼1.5. These optical data are collected simultaneously with observations conducted over the entire electromagnetic spectrum—from radio to γ-rays—as well as cosmic-ray observations. In this paper, we present a novel real-time light-curve analysis algorithm, designed to detect transients in the DWF optical data; this algorithm functions independently from, or in conjunction with, image subtraction. We present a sample of fast transients detected by our algorithm, as well as a false-positive analysis. Our algorithm is customizable and can be tuned to be sensitive to transients evolving over different timescales and flux ranges.
Effects of Varying Mass Inflows on Star Formation in Nuclear Rings of Barred Galaxies
Authors: Moon Sanghyuk , Kim Woong-Tae , Kim Chang-Goo , Ostriker Eve C. 
Published: January 2022

Abstract
Observations indicate that the star formation rate (SFR) of nuclear rings varies considerably with time and is sometimes asymmetric rather than being uniform across a ring. To understand what controls temporal and spatial distributions of ring star formation, we run semiglobal, hydrodynamic simulations of nuclear rings subject to time-varying and/or asymmetric mass inflow rates. These controlled variations in the inflow lead to variations in the star formation, while the ring orbital period (18 Myr) and radius (600 pc) remain approximately constant. We find that both the mass inflow rate and supernova feedback affect the ring SFR. An oscillating inflow rate with period Δτ
in and amplitude 20 causes large-amplitude (a factor of ≳5), quasi-periodic variations of the SFR when Δτ
in ≳ 50 Myr. We find that the time-varying interstellar medium (ISM) weight and midplane pressure track each other closely, establishing an instantaneous vertical equilibrium. The measured time-varying depletion time is consistent with the prediction from self-regulation theory provided the time delay between star formation and supernova feedback is taken into account. The supernova feedback is responsible only for small-amplitude (a factor of ∼2) fluctuations of the SFR with a timescale ≲40 Myr. Asymmetry in the inflow rate does not necessarily lead to asymmetric star formation in nuclear rings. Only when the inflow rate from one dust lane is suddenly increased by a large factor do the rings undergo a transient period of lopsided star formation.
Widespread 1–2 MeV Energetic Particles Associated with Slow and Narrow Coronal Mass Ejections: Parker Solar Probe and STEREO Measurements
Authors: Zhuang Bin , Lugaz Noé , Lario David 
Published: January 2022

Abstract
Suprathermal ions in the corona are thought to serve as seed particles for large gradual solar energetic particle (SEP) events associated with fast and wide coronal mass ejections (CMEs). A better understanding of the role of suprathermal particles as seed populations for SEP events can be made by using observations close to the Sun. We study a series of SEP events observed by the Integrated Science Investigation of the Sun (IS⊙IS) suite on board the Parker Solar Probe (PSP) from 2020 May 27 to June 2, during which PSP was at heliocentric distances between ∼0.4 and ∼0.2 au. These events were also observed by the Ahead Solar TErrestrial RElations Observatory (STEREO-A) near 1 au, but the particle intensity magnitude was much lower than that at PSP. We find that the SEPs should have spread in space as their source regions were distant from the nominal magnetic footpoints of both spacecraft and the parent CMEs were slow and narrow. We study the decay phase of the SEP events in the ∼1–2 MeV proton energy range at PSP and STEREO-A, and discuss their properties in terms of both continuous injections by successive solar eruptions and the distances where the measurements were made. This study indicates that seed particles can be continuously generated by eruptions associated with slow and narrow CMEs, spread over a large part of the inner heliosphere, and remain there for tens of hours, even if minimal particle intensity enhancements were measured near 1 au.
Atomic Shocks in the Outflow of L1551 IRS 5 Identified with SOFIA-upGREAT Observations of [O i]
Authors: Yang Yao-Lun , Evans Neal J. , Karska Agata , Kristensen Lars E. , Aladro Rebeca , Ramsey Jon P. , Green Joel D. , Lee Jeong-Eun 
Published: January 2022

Abstract
We present velocity-resolved Stratospheric Observatory for Infrared Astronomy (SOFIA)/upgrade German REceiver for Astronomy at Terahertz Frequencies observations of [O i] and [C ii] lines toward a Class I protostar, L1551 IRS 5, and its outflows. The SOFIA observations detect [O i] emission toward only the protostar and [C ii] emission toward the protostar and the redshifted outflow. The [O i] emission has a width of ∼100 km s−1 only in the blueshifted velocity, suggesting an origin in shocked gas. The [C ii] lines are narrow, consistent with an origin in a photodissociation region. Differential dust extinction from the envelope due to the inclination of the outflows is the most likely cause of the missing redshifted [O i] emission. Fitting the [O i] line profile with two Gaussian components, we find one component at the source velocity with a width of ∼20 km s−1 and another extremely broad component at −30 km s−1 with a width of 87.5 km s−1, the latter of which has not been seen in L1551 IRS 5. The kinematics of these two components resemble cavity shocks in molecular outflows and spot shocks in jets. Radiative transfer calculations of the [O i], high-J CO, and H2O lines in the cavity shocks indicate that [O i] dominates the oxygen budget, making up more than 70% of the total gaseous oxygen abundance and suggesting [O]/[H] of ∼1.5 × 10−4. Attributing the extremely broad [O i] component to atomic winds, we estimate an intrinsic mass-loss rate of (1.3 ± 0.8) × 10−6
M
⊙ yr−1. The intrinsic mass-loss rates derived from low-J CO, [O i], and H i are similar, supporting the model of momentum-conserving outflows, where the atomic wind carries most momentum and drives the molecular outflows.
When negativity is the fuel. Bots and Political Polarization in the COVID-19 debate
Authors: Robles José-Manuel , Guevara Juan-Antonio , Casas-Mas Belén , Gómez Daniel 
Published: January 2022

The contexts of social and political polarization are generating new forms of communication that affect the digital public sphere. In these environments, different social and political actors contribute to extreme their positions, using bots to create spaces for social distancing where hate speech and incivility have a place, a phenomenon that worries scientists and experts. The main objective of this research is to analyze the role that these automated agents played in the debate on social networks about the Spanish Government’s management of the global COVID-19 pandemic. For this, “Social Big Data Analysis” techniques were applied: “machine learning algorithms to know the positioning of users; bot detection algorithms; “topic modeling” techniques to learn about the topics of the debate on the web, and sentiment analysis. We used a database comprised of Twitter messages published during the confinement, as a result of the Spanish state of alarm. The main conclusion is that the bots could have served to design a political propaganda campaign initiated by traditional actors with the aim of increasing tension in an environment of social emergency. It is argued that, although these agents are not the only actors that increase polarization, they do contribute to deepening the debate on certain key issues, increasing negativity.Los contextos de polarización social y política están generando nuevas formas de comunicar que inciden en la esfera pública digital. En estos entornos, distintos actores sociales y políticos estarían contribuyendo a extremar sus posicionamientos, utilizando «bots» para crear espacios de distanciamiento social en los que tienen cabida el discurso del odio y la «incivility», un fenómeno que preocupa a científicos y expertos. El objetivo principal de esta investigación es analizar el rol que desempeñaron estos agentes automatizados en el debate en redes sociales sobre la gestión del Gobierno de España durante la pandemia global de COVID-19. Para ello, se han aplicado técnicas de «Social Big Data Analysis»: algoritmos de «machine learning» para conocer el posicionamiento de los usuarios; algoritmos de detección de «bots»; técnicas de «topic modeling» para conocer los temas del debate en la red, y análisis de sentimiento. Se ha utilizado una base de datos compuesta por mensajes de Twitter publicados durante el confinamiento iniciado a raíz del estado de alarma español. La principal conclusión es que los «bots» podrían haber servido para diseñar una campaña de propaganda política iniciada por actores tradicionales con el objetivo de aumentar la crispación en un ambiente de emergencia social. Se sostiene que, aunque dichos agentes no son los únicos actores que aumentan la polarización, sí coadyuvan a extremar el debate sobre determinados temas clave, incrementando la negatividad.
Detection of traits in students with suicidal tendencies on Internet applying Web Mining
Authors: Castillo-Zúñiga Iván , Luna-Rosas Francisco-Javier , López-Veyna Jaime-Iván 
Published: January 2022

This article presents an Internet data analysis model based on Web Mining with the aim to find knowledge about large amounts of data in cyberspace. To test the proposed method, suicide web pages were analyzed as a study case to identify and detect traits in students with suicidal tendencies. The procedure considers a Web Scraper to locate and download information from the Internet, as well as Natural Language Processing techniques to retrieve the words. To explore the information, a dataset based on Dynamic Tables and Semantic Ontologies was constructed, specifying the predictive variables in young people with suicidal inclination. Finally, to evaluate the efficiency of the model, Machine Learning and Deep Learning algorithms were used. It should be noticed that the procedures for the construction of the dataset (using Genetic Algorithms) and obtaining the knowledge (using Parallel Computing and Acceleration with GPU) were optimized. The results reveal an accuracy of 96.28% on the detection of characteristics in adolescents with suicidal tendencies, reaching the best result through a Recurrent Neural Network with 98% accuracy. It is inferred that the model is viable to establish bases on mechanisms of action and prevention of suicidal behaviors, which can be implemented in educational institutions or different social actors.
Este artículo presenta un modelo de análisis de datos en Internet basado en Minería Web con el objetivo de encontrar conocimiento sobre grandes cantidades de datos en el ciberespacio. A fin de probar el método propuesto, se analizaron páginas web sobre el suicidio como caso de estudio con la intención de identificar y detectar rasgos en estudiantes con tendencias suicidas. El procedimiento considera un Web Scraper para localizar y descargar información de Internet, así como técnicas de Procesamiento de Lenguaje Natural para la recuperación de los vocablos. Con el propósito de explorar la información, se construyó un conjunto de datos basado en Tablas Dinámicas y Ontologías Semánticas, especificando las variables predictivas en jóvenes con inclinación suicida. Por último, para evaluar la eficiencia del modelo se utilizaron algoritmos de Aprendizaje de Máquina y Aprendizaje Profundo. Cabe destacar que se optimizaron los procedimientos para la construcción del dataset (utilizando Algoritmos Genéticos) y obtención del conocimiento empleando Cómputo Paralelo y Aceleración con Unidades de Procesamientos de Gráfico (GPU). Los resultados revelan una precisión del 96,28% sobre la detección de las características en adolescentes con tendencia suicida, alcanzando el mejor resultado a través de una Red Neuronal Recurrente con un 98% de precisión. De donde se infiere que el modelo es viable para establecer bases sobre mecanismos de actuación y prevención de comportamientos suicidas, que pueden ser implementados en instituciones educativas o distintos actores de la sociedad.
Booktokers: Generating and sharing book content on TikTok
Authors: Guiñez-Cabrera Nataly , Mansilla-Obando Katherine 
Published: January 2022

Reading is essential for learning in education. However, the digital revolution has transformed the ways to encourage reading and learning about books. People who generate and share content about books on social networks are the so-called booktokers, influencers on TikTok who have become an emerging phenomenon in this connected society. However, there is scarce research that studies them in depth. Therefore, it is crucial to explore booktokers to understand them better and to assess why they accept and use technologies to generate and share content about books on TikTok. This paper intends to explore the acceptance and use of TikTok to generate and share content about books on this social network as a booktoker. For this, a qualitative methodology of semi-structured interviews with thirteen Latin American booktokers was used. The analysis was developed through a thematic analysis based on the UTAUT2 theory to explain the findings. The results indicated the categories: performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, habit, price value, and a new identified category related to the generation of community and networks. This study constitutes one of the pioneering works in the exploration of the booktoker phenomenon.
La lectura es fundamental para el aprendizaje en la educación. Si bien, la revolución digital ha transformado la manera de incentivar la lectura y conocer sobre libros. Las personas que generan y comparten contenidos sobre libros en las redes sociales son los denominados booktokers, influencers de la red social TikTok, quienes se han convertido en un fenómeno emergente en esta sociedad conectada, pero aún con poca investigación que los estudie en profundidad. Por lo tanto, es crucial explorar para una mayor comprensión a los booktokers y conocer por qué aceptan y usan tecnologías para generar y compartir contenidos sobre libros en la red social TikTok. Se pretende explorar la aceptación y uso de TikTok para generar y compartir contenido sobre libros en esta red social siendo un booktoker. Se utiliza una metodología cualitativa de entrevistas semiestructuradas a trece booktokers latinoamericanos. El análisis se desarrolló por medio de un análisis temático basándonos en la teoría UTAUT2 para explicar los hallazgos. Los resultados indicaron las categorías: la expectativa de desempeño, la expectativa de esfuerzo, la influencia social, las condiciones facilitadoras, la motivación hedónica, el hábito, el precio y una nueva categoría identificada que es generar comunidad y redes. La contribución de este estudio es ser uno de los pioneros en la exploración del fenómeno de los booktokers.
PAPEL DA MULHER NA MANUTENÇÃO DA LÍNGUA KAINGANG NA TERRA INDÍGENA (TI) - APUCARANINHA
Authors: Domingues Gislaine 
Published: January 2022

Neste artigo tecemos algumas considerações a respeito das atitudes linguísticas das mulheres Kaingang, moradores da TI-Apucaraninha, PR. Entendendo a língua como um importante fator de identidade cultural, apresentamos parte dos resultados de uma pesquisa, desenvolvida por uma pesquisadora Kaingang nativa e moradora da aldeia e outra não indígena, que trata a respeito das atitudes das falantes indígenas bilíngues, da já referida localidade, em relação ao uso das línguas Kaingang e Portuguesa, no espaço da aldeia. Para a discussão proposta, trazemos a análise de duas entrevistas, realizadas com falantes bilíngues, moradores da TI. A análise dos dados é sustentada pelos pressupostos teóricos e metodológicos da Sociolinguística, em sua perspectiva macro. Como resultado podemos observar que as atitudes positivas em favor do Kaingang e a relação das mulheres com a língua vem contribuindo para a manutenção e vitalidade dessa língua, um meio de resistência e afirmação de identidade.
A characterization of the product of the rational numbers and complete Erdős space
Authors: Hernández-Gutiérrez Rodrigo , Zaragoza Alfredo 
Published: January 2022

AbstractErdős space
$\mathfrak {E}$
and complete Erdős space
$\mathfrak {E}_{c}$
have been previously shown to have topological characterizations. In this paper, we provide a topological characterization of the topological space
$\mathbb {Q}\times \mathfrak {E}_{c}$
, where
$\mathbb {Q}$
is the space of rational numbers. As a corollary, we show that the Vietoris hyperspace of finite sets
$\mathcal {F}(\mathfrak {E}_{c})$
is homeomorphic to
$\mathbb {Q}\times \mathfrak {E}_{c}$
. We also characterize the factors of
$\mathbb {Q}\times \mathfrak {E}_{c}$
. An interesting open question that is left open is whether
$\sigma \mathfrak {E}_{c}^{\omega }$
, the
$\sigma $
-product of countably many copies of
$\mathfrak {E}_{c}$
, is homeomorphic to
$\mathbb {Q}\times \mathfrak {E}_{c}$
.