bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accounting and control in the digital environment to ensure the sustainable development of the Russian fisheries complex
Authors: Kurmanova A. H. , Dusaeva E.  M. , Truba  A. S. 
Published: December 2022

The purpose of the work is to investigate changes in accounting and control related to digital technologies and the advantages of accounting and analytical information in the management of fisheries activities based on the principles of sustainable development. The methods used — dialectical, monographic, the method of scientific abstractions, comparison and empirical generalization allowed us to highlight the features of accounting and control of the fisheries complex in the digital environment. An element of novelty — digital technologies in accounting and control develop methodology and practical approaches to their organization in the direction of operational management of fisheries activities at all levels, allow management to make management decisions on compliance with the principles of sustainable development. Research results — the digital environment is changing approaches to the organization of accounting and control in the direction of transparency, accuracy, efficiency of information, without changing the content of accounting methodology. Integration of accounting and analytical information with other sources in the digital environment provides a management and decision-making system for the sustainable functioning of the production structures of the fisheries complex. Practical significance — compliance with the principles and high-quality performance of accounting and control functions in the digital environment expands the information space for making management decisions in the system of extraction, processing of aquatic biological resources, promotion of fish products to markets, while reducing the time and complexity of obtaining information, increasing efficiency and effectiveness.
Some issues of walleye pollock reproduction in the pacific waters adjacent to the Kamchatka peninsula and the northern Kuril Islands in 2013–2022.
Authors: Varkentin A. I. , Saushkina D. Y. 
Published: December 2022

Purpose: To characterize some issues of East Kamchatka pollock reproduction in the last 10 years.Methods: complex (ichthyoplankton and hydrological) surveys in the Pacific waters adjacent to the Kamchatka Peninsula and the northern Kuril Islands, surveys in the spawning center — the “North” canyon, located in Avacha Bay, layer-by-layer surveys in the canyons and on the shelf.Novelty: the currently available data on the main spawning areas of the Eastern Kamchatka pollock were supplemented, new data on the state of the spawning stock, vertical distribution of eggs at different stages of development were presented.Results: During the period under consideration, the main pollock spawning in Avacha and Kronotsky bays occurred above deep-water canyons, and on the shelf near southeastern Kamchatka and northern Kuril Islands — in the whole surveyed water area, in some years — to the south of the island Paramushir. According to the results of ichthyoplankton surveys, model calculations, the spawning stock of the Eastern Kamchatka pollock peaked in 2010, and then it gradually decreased. Currently, resources are at an average level. Horizons of the main pollock spawning in deep-water canyons change in an inter-a nnual aspect. In addition, as egg development, as a result of internal processes occurring in the canyons (internal waves), it, then rises, then falls in the underlying layers of water.Practical significance: The results of the work can be used to improve the method of assessment of the current and prospective state of stocks, justification of the TAC of the Eastern Kamchatka pollock.
Aspect Based Sentiment Analysis - Twitter
Authors: LAKHANI AKASH , Upadhyay Vashishtha , Fiaidhi Jinan 
Published: December 2022

<p>Due to the increased use and popularity of social media platforms in the most recent technological period, sentiment categorization has emerged as an important research area among those platforms. When it comes to Twitter, the main problem of previous research is, they all did a sentiment classification on the document level (Tweet level). It cannot classify the sentiment for any particular aspect. When it comes to the review of any multifunctional product and service, gathering an overall positive or negative mood may not be helpful to the firms as it is more crucial to ascertain precisely what their customers are happy or upset about, to bring the updates and changes on that particular product and service. </p>
<p>In addition to this, what if someone wants to know the sentiments about recently generated data or tweets? What if someone wants to know the sentiment for data between a particular date range? What if users want to get sentiment of the tweets regarding current ongoing events and happenings? Along with this, very few of them performed aspect-based sentiment analysis on other platforms and they are using the same data set for training purposes as well as analytics purposes. So here we come up with the idea of Aspect based sentiment analysis on twitter, in which we train our model with a publicly available dataset, and then the user will give a particular hashtag and aspects. Our system will get tweets related to that specific hashtag from publicly available daily search twitter API and our model will take those tweets as input for analytics. Then machine learning operations will be performed on those tweets to find sentiment analysis for that hashtag’s tweet and its aspects with the best accuracy. In that way, we can get responses from people on any event, feedback or national issue, or matter of people's support. The experimental findings also showed that our method beats current state-of-the-art approaches.</p>
Comments on “VERSA: Verifiable Secure Aggregation for Cross-Device Federated Learning”
Authors: Luo Fucai , Wang Haiyan , Yan Xingfu 
Published: December 2022

<p>Federated learning (FL) allows a large number of users to collaboratively train machine learning (ML) models by sending only their local gradients to a central server for aggregation in each training iteration, without sending their raw training data. The main security issues of FL, that is, the privacy of the gradient vector and the correctness verification of the aggregated gradient, are gaining increasing attention from industry and academia. To protect the privacy of the gradient, a secure aggregation was proposed; to verify the correctness of the aggregated gradient, a verifiable secure aggregation that requires the server to provide a verifiable aggregated gradient was proposed. </p>
<p>In 2021, Hahn et al. proposed VERSA, a verifiable secure aggregation (DOI:10.1109/TDSC.2021.3126323). However, in this paper, we will point out a flaw in VERSA, which indicates that VERSA does not work. To address the flaw, we present several approaches with different advantages and disadvantages. We hope that by identifying the flaw, similar errors can be avoided in future designs for verifiable secure aggregation.</p>
<p><br></p>
Pengaruh Kecemasan Matematika terhadap Hasil Belajar Siswa SMA Kelas X
Authors: Wardani Nadya 
Published: December 2022

Penelitian ini bertujuan untuk mengetahui tingkat kecemasan matematika, hasil belajar siswa, serta sejauh mana pengaruh kecemasan matematika terhadap hasil belajar siswa. Metode penelitian yang digunakan adalah ex post facto dengan sampel yang digunakan yaitu siswa kelas X. Instrumen yang digunakan dalam penelitian ini berupa kuisioner kecemasan matematika dan daftar nilai tes hasil belajar siswa. Berdasarkan hasil analisis penelitian, diperoleh hasil tingkat kecemasan siswa berada pada tingkat tinggi, 2) Hasil belajar siswa berada pada tingkat rendah, dan 3) Kecemasan siswa berdampak negatif terhadap hasil belajar siswa.
La procedencia de la pensión de sobrevivientes para mujer divorciada víctima de violencia de género
Authors: Torres Martínez Jenny Esperanza 
Published: December 2022

Sumario:
I.-Introducción. II.-El enfoque de género en las sentencias de los jueces laborales y de la seguridad social. III.- La fundamentabilidad del derecho a la seguridad social integral en Colombia. IV.- Normas internacionales del trabajo en torno al derecho ala seguridad social y sistemas de protección social .V.- El derecho pensional de sobrevivientes y su naturaleza jurídica en el sistema jurídico colombiano. VI.- Trabajo productivo y reproductivo. VII.- Violencia de género y su impacto en el derecho pensional de sobrevivientes en Colombia. VIII.-Conclusiones
La empresa laboral:
Authors: Pécora Rosalía A. 
Published: December 2022

Sumario:
I. El concepto jurídico de empresa. II. Aproximaciones conceptuales desde el Derecho del Trabajo. III. Finalidad de la empresa. IV. La empresa laboral. V. Los elementos de la empresa laboral. VI. Proyecciones y tendencias de la empresa laboral actual: grupos económicos – empleador aparente empresa en red – outsoursing. VII. Nuestra realidad: las Pymes y la necesidad de una negociación colectiva diferenciada. VIII. Conclusiones y nuevos desafíos.
Aplicación de principios rectores sobre empresas y derechos humanos en la Corte Interamericana de Derechos Humanos
Authors: Cragnolino Giselle 
Published: December 2022

Sumario:
I.- Introducción. Rol de la Corte. Control de convencionalidad. II.- Diálogo entre Cortes. III.- Empresas y derechos humanos en la Corte Interamericana de Derechos Humanos. IV.- Principios Rectores sobre Empresas y Derechos Humanos de las Naciones Unidas. V.- Importancia de la Agenda 2030. Objetivos de Desarrollo Sostenible. VI.- Conclusiones.
The Origin of High-energy Emission in the Young Radio Source PKS 1718–649
Authors: Sobolewska Małgosia , Migliori Giulia , Ostorero Luisa , Siemiginowska Aneta , Stawarz Łukasz , Guainazzi Matteo , Hardcastle Martin J. 
Published: December 2022

Abstract
We present a model for the broadband radio-to-γ-ray spectral energy distribution of the compact radio source PKS 1718–649. Because of its young age (≃100 yr) and proximity (z = 0.014), PKS 1718–649 offers a unique opportunity to study the nuclear conditions and the jet/host galaxy feedback process at the time of the initial radio jet expansion. PKS 1718–649 is one of a handful of young radio jets with γ-ray emission that has been confirmed by the Fermi/LAT detector. We show that in PKS1718−649 this γ-ray emission can be successfully explained by Inverse Compton scattering of the UV photons, presumably from an accretion flow, off nonthermal electrons in the expanding radio lobes. The origin of the X-ray emission in PKS 1718–649 is more elusive. While Inverse Compton scattering of the IR photons emitted by a cold gas in the vicinity of the expanding radio lobes contributes significantly to the X-ray luminosity, the data require an additional source of X-rays, e.g., a weak X-ray corona or a radiatively inefficient accretion flow, as expected from a LINER-type nucleus, such as that of PKS 1718–649. We find that the jet in PKS 1718–649 has low power, L

j
≃ 2 × 1042 erg s−1, and expands in an environment with density n
0 ≃ 3–20 cm−3. The inferred mass accretion rate and gas mass reservoir within 50–100 pc of the galactic center are consistent with estimates from the literature obtained by tracing molecular gas in the innermost region of the host galaxy with SINFONI and the Atacama Large Millimeter/submillimeter Array.
The Poor Old Heart of the Milky Way
Authors: Rix Hans-Walter , Chandra Vedant , Andrae René , Price-Whelan Adrian M. , Weinberg David H. , Conroy Charlie , Fouesneau Morgan , Hogg David W , De Angeli Francesca , Naidu Rohan P. , Xiang Maosheng , Ruz-Mieres Daniela 
Published: December 2022

Abstract
Our Milky Way should host an ancient, metal-poor, and centrally concentrated stellar population, which reflects the star formation and enrichment in the few most massive progenitors that coalesced at high redshift to form the proto-Galaxy. While metal-poor stars are known to reside in the inner few kiloparsecs of our Galaxy, current data do not yet provide a comprehensive picture of such a metal-poor “heart” of the Milky Way. We use information from Gaia Data Release 3, especially the XP spectra, to construct a sample of 2 million bright (G
BP < 15.5 mag) giant stars within 30° of the Galactic center (GC) with robust [M/H] estimates, δ[M/H] ≲ 0.1. For ∼1.25 million stars we calculate orbits from Gaia Radial Velocity Spectrometer velocities and astrometry. This sample reveals an extensive, ancient, and metal-poor population that includes ∼18,000 stars with −2.7 < [M/H] < −1.5, representing a stellar mass of ≳5 × 107
M
⊙. The spatial distribution of these [M/H] < −1.5 stars has a Gaussian extent of only

σ

R

GC

∼
2.7

kpc

around the GC, with most orbits confined to the inner Galaxy. At high orbital eccentricities, there is clear evidence for accreted halo stars in their pericentral orbit phase. Most stars show [α/Fe] enhancement and [Al/Fe]–[Mn/Fe] abundances expected for an origin in the more massive portions of the proto-Galaxy. Stars with [M/H] < −2 show no net rotation, whereas those with [M/H] ∼ −1 are rotation dominated. These central, metal-poor stars most likely predate the oldest disk population (τ
age ≈ 12.5 Gyr), which implies that they formed at z ≳ 5, forging the proto-Milky Way.
hyphy: Deep Generative Conditional Posterior Mapping of Hydrodynamical Physics
Authors: Horowitz Benjamin , Dornfest Max , Lukić Zarija , Harrington Peter 
Published: December 2022

Abstract
Generating large-volume hydrodynamical simulations for cosmological observables is a computationally demanding task necessary for next-generation observations. In this work, we construct a novel fully convolutional variational autoencoder (VAE) to synthesize hydrodynamic fields conditioned on dark matter fields from N-body simulations. After training the model on a single hydrodynamical simulation, we are able to probabilistically map new dark-matter-only simulations to corresponding full hydrodynamical outputs. By sampling over the latent space of our VAE, we can generate posterior samples and study the variance of the mapping. We find that our reconstructed field provides an accurate representation of the target hydrodynamical fields as well as reasonable variance estimates. This approach has promise for the rapid generation of mocks as well as for implementation in a full inverse model of observed data.
Proton and Helium Heating by Cascading Turbulence in a Low-beta Plasma
Authors: Shi Zhaodong , Muñoz Patricio A. , Büchner Jörg , Liu Siming 
Published: December 2022

Abstract
How ions are energized and heated is a fundamental problem in the study of energy dissipation in magnetized plasmas. In particular, the heating of heavy ions (including 4He2+, 3He2+, and others) has been a constant concern for understanding the microphysics of impulsive solar flares. In this article, via two-dimensional hybrid-kinetic particle-in-cell simulations, we study the heating of helium ions (4He2+) by turbulence driven by cascading waves launched at large scales from the left-handed polarized helium ion cyclotron wave branch of a multi-ion plasma composed of electrons, protons, and helium ions. We find significant parallel (to the background magnetic field) heating for both helium ions and protons due to the formation of beams and plateaus in their velocity distribution functions along the background magnetic field. The heating of helium ions in the direction perpendicular to the magnetic field starts with a lower rate than that in the parallel direction, but overtakes the parallel heating after a few hundreds of the proton gyro-periods due to cyclotron resonances with mainly obliquely propagating waves induced by the cascade of injected helium ion cyclotron waves at large scales. There is, however, little evidence for proton heating in the perpendicular direction due to the absence of left-handed polarized cyclotron waves near the proton cyclotron frequency. Our results are useful for understanding the preferential heating of 3He and other heavy ions in the 3He-rich solar energetic particle events, in which helium ions play a crucial role as a species of background ions regulating the kinetic plasma behavior.
The Variation of the Solar Wind Correlation Scale and Taylor Scale Upstream of Mars Observed by MAVEN
Authors: Cheng Long , Wang Yuming 
Published: December 2022

Abstract
The correlation scale and Taylor scale, which characterize the turbulence and dissipation levels, of the solar wind upstream of Mars are determined using the Mars atmosphere and volatile evolution magnetic field data from 2015 to 2020, which covers half of a solar cycle from the solar maximum to the solar minimum. Our analysis suggests that the correlation scale varies between 10 and 20 hr and the Taylor scale between 0.3 and 1 s. Applying the frozen-in flow approximation, we convert the two temporal scales to the two spatial scales, which are about (1.5–3.0) × 107 km and 150–500 km, respectively. We further compare the correlation scale and Taylor scale to the sunspot number (SSN) to study the impacts of solar activity. The highest correlation coefficient between the correlation scale and the SSN is 0.78, where the two data sets are shifted by 16 months with the correlation scale behind the SSN. For the Taylor scale, the highest correlation coefficient is 0.52 with the time lag of 17 months. We also analyze the effective magnetic Reynolds number that is the square of the ratio of the two scales. It is more than 3 × 109, suggesting the good assumption of the frozen-in flow. However, its correlation with the SSN is weak.
The Merger Rate of Primordial Black Hole–Neutron Star Binaries in Ellipsoidal-collapse Dark Matter Halo Models
Authors: Fakhry Saeed , Salehnia Zahra , Shirmohammadi Azin , Firouzjaee Javad T. 
Published: December 2022

Abstract
In this work, we calculate the merger rate of primordial black hole–neutron star (PBH–NS) binaries within the framework of ellipsoidal-collapse dark matter models and compare it with that obtained from spherical-collapse dark matter halo models. Our results exhibit that ellipsoidal-collapse dark matter halo models can potentially amplify the merger rate of PBH–NS binaries in such a way that it is very close to the range estimated by the LIGO–Virgo observations. In contrast, spherical-collapse dark matter halo models cannot justify PBH–NS merger events as consistent results with the latest gravitational wave data reported by the LIGO–Virgo collaborations. In addition, we calculate the merger rate of PBH–NS binaries as a function of PBH mass and fraction within the context of ellipsoidal-collapse dark matter halo models. The results indicate that PBH–NS merger events with masses of M
PBH ≤ 5M
⊙,
M
NS ≃ 1.4M
⊙ will be consistent with the LIGO–Virgo observations if f
PBH ≃ 1.
Extragonadal germ cell tumor: A rare case in dorsal region
Authors: Paparella Maria Teresa , Eusebi Laura , Goteri Gaia , Bartelli Francesco , Guglielmi Giuseppe 
Published: December 2022

Abstract
Extragonadal germ cell tumors (GCTs) are a rare group of neoplasms that account for 1%–5% of all GCTs. These tumors can present with an unpredictable behavior and clinical manifestations depending on different factors such as histological subtype, anatomical site, and clinical stage. We report the case of a 43-year-old male patient with a primitive extragonadal seminoma located in the paravertebral dorsal region, an extremely rare site. He presented to our emergency department with a 3-month history of back pain and a 1-week history of fever of unknown origin. Imaging techniques revealed a solid tissue arising from the vertebral bodies of D9–D11 and extending in the paravertebral space. After a bone marrow biopsy and exclusion of testicular seminoma, he was diagnosed with primitive extragonadal seminoma. The patient underwent five cycles of chemotherapy, and the follow-up CT examinations showed a reduction of the mass initially till a complete remission with no evidence of recurrence.
Renal Biomarkers in Pre-Eclampsia and their Associations with Severity of Pre-Eclampsia
Authors: Ezechukwu Paschalina C. , Ugwu Emmanuel O. , Obi Samuel N. , Eleje George U. , Agu Polycarp U. , Iloghalu Emeka I. , Obioha Kingsley C. , Onwuka Chidinma I. , Ugwu Angela O. , Onodugo Obinna D. , Ozumba Benjamin C. 
Published: December 2022

Background:
Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality in Nigeria and worldwide. It is not yet concluded as to whether or not elevated levels of serum creatinine and/or uric acid could be regarded as a predictive indicator for the severity of the disease.

Objectives:
To compare the mean serum levels of uric acid and creatinine in preeclamptic and normotensive pregnant women and assess for any associations between these renal biomarkers and the severity of preeclampsia in Nigeria.

Materials and Methods:
It was a cross-sectional analytical study of 132 women with preeclampsia (n = 61) and normotensive pregnant women (n = 61). The study group comprised eligible consecutive women diagnosed with preeclampsia, whereas the control group comprised appropriately matched normotensive pregnant women. Main outcome measures included the mean serum levels of uric acid and creatinine in both groups, and their levels in cases with mild and severe degrees of preeclampsia.

Results:
The mean serum levels of uric acid and creatinine were significantly higher in women with preeclampsia than in normotensive pregnant women (7.67 ± 2.9 versus 4.56 ± 1.1; P < 0.001, and 0.76 ± 0.3 versus 0.53 ± 0.1; P < 0.001, respectively). There was no significant difference in the mean serum levels of uric acid and creatinine in women with mild and severe degrees of preeclampsia (6.66 ± 2.3 versus 7.77 ± 2.9; P = 0.37, and 0.56 ± 0.2 versus 0.79 ± 0.4; P = 0.12, respectively).

Conclusions:
This study has demonstrated that serum uric acid and serum creatinine levels are elevated in pregnancies complicated by preeclampsia. However, there is no significant association between serum levels of these renal biomarkers and the severity of preeclampsia. The studied renal biomarkers are therefore important in the diagnostic workup of preeclampsia but of limited value in the disease prognostication.
Anthropometric Effect of a Personalized Food Avoidance Dietary Approach to Stop Hypertension
Authors: Chijioke Chioli P. , Okafor Micheal T. , Okoli Uzoamaka A. , Nubia Imelda N. , Nwokolo Bridget , Onah Ifeoma C. , Ide Clinton , Effiong-Essieng Chika , Obiefuna Genevieve , Anusiem Chikere 
Published: December 2022

Background:
Body anthropometries are indicators of health and disease. It is universally accepted that it is a useful tool for assessing health status.

Objective:
The aim of this article is to determine the effect of a personalized food avoidance dietary approach to stop hypertension (PFADASH) on anthropometric parameters: body mass index (BMI), triceps skin fold thickness (TSFT), and abdominal circumference (AC) on study participants.

Materials and Methods:
This was a longitudinal study and part of an open controlled clinical trial of a PFADASH approved by the University of Nigeria Teaching Hospital Ethics Committee. Anthropometric parameters were compared between study participants with good and poor dietary compliance to a PFADASH.

Results:
There was no significant difference in the anthropometric parameters: BMI, TSFT, and AC among participants with good and poor dietary compliance to a PFADASH (P > 0.05).

Conclusion:
There was no negative effect of a PFADASH on anthropometric parameters, despite not being a calorie-restrictive dietary intervention.