bluuebunny/crossref_metadata_2025 huggingface dataset:
Left atrium strain parameters in light chain cardiac amyloidosis and hypertensive heart disease
Authors: Wang Heng , Fan Jia Li , Su Bo , Ma Changsheng , Zhou BingYuan
Published: March 2023

Background: Longitudinal strain is helpful in discriminating
between cardiac amyloidosis and other causes of left ventricle
hypertrophy. We aimed to compare left atrial strain between light chain
cardiac amyloidosis (AL-CA) and hypertensive heart disease (HHD).
Methods: Echocardiography was performed at 21 consecutive AL-CA
patients, 56 HHD patients and 21 controls who were enrolled in the
current study between April 2018 and January 2021. Echo PAC workstation
was employed to analyze LA strain of all the participants. Standard
echocardiographic parameters and LA strain parameters were compared
between AL-CA and HHD patients. ROC curves were employed to assess the
discriminating ability of LA strain. Results: LASr and LASct
were significantly lower (21.03 vs 26.17, P =0.009, and 12.11 vs 15.51,
P=0.009, respectively) in AL-CA group than those in HHD group, whereas
LAScd and SD-TPS were similar between the two groups (P=0.17 and P=0.27,
respectively). The cutoff points of LASr and LASct for discriminating
between AL-CA and HHD were 19.53% and 11.34%, respectively.
Conclusions: AL-CA patients had marked reductions in LASr and
LASct. LA strain had additional value in differentiating AL-CA from HHD
patients.
Finite Source Properties of Large Strike-Slip Earthquakes
Authors: Atterholt James , Ross Zachary E.
Published: March 2023

Earthquake ruptures are complex physical processes that may vary with
the structure and tectonics of the region in which they occur.
Characterizing the factors controlling this variability would provide
fundamental constraints on the physics of earthquakes and faults. We
investigate this by determining finite source properties from second
moments of the stress glut for a global dataset of large strike-slip
earthquakes. Our approach uses a Bayesian inverse formulation with
teleseismic body and surface waves, which yields a low-dimensional
probabilistic description of rupture properties including spatial
extent, directivity, and duration. This technique is useful for
comparing events because it makes only minor geometric constraints,
avoids bias due to rupture velocity parameterization, and yields a full
ensemble of possible solutions given the uncertainties of the data. We
apply this framework to all great strike-slip earthquakes of the past
three decades, and we use the resultant second moments to compare source
quantities like directivity ratio, rectilinearity, stress drop, and
depth extent. We find that most strike-slip earthquakes have a large
component of unilateral directivity, and many of these earthquakes show
a mixture of unilateral and bilateral behavior. We also notice that
oceanic intraplate earthquakes usually rupture a much larger width of
the seismogenic zone than other strike-slip earthquakes, suggesting
these earthquakes consistently breach the expected thermal boundary for
oceanic ruptures. We also use these second moments to resolve nodal
plane ambiguity for the large oceanic intraplate earthquakes and find
that the rupture orientation is usually unaligned with encompassing
fossil fracture zones.
Reconstruction of Surface Kinematics from Sea Surface Height Using Neural Networks
Authors: Xiao Qiyu , Balwada Dhruv , Jones C Spencer , Herrero-Gonzalez Mario , Smith K. Shafer , Abernathey Ryan
Published: March 2023

The Surface Water and Ocean Topography (SWOT) satellite is expected to
observe the sea surface height (SSH) down to scales of ∼10-15
kilometers. While SWOT will reveal submesoscale SSH patterns that have
never before been observed on global scales, how to extract the
corresponding velocity fields and underlying dynamics from this data
presents a new challenge. At these soon-to-be-observed scales,
geostrophic balance is not sufficiently accurate, and the SSH will
contain strong signals from inertial gravity waves — two problems that
make estimating surface velocities non-trivial. Here we show that a
data-driven approach can be used to estimate the surface flow,
particularly the kinematic signatures of smaller scales flows, from SSH
observations, and that it performs significantly better than directly
using the geostrophic relationship. We use a Convolution Neural Network
(CNN) trained on submesoscale-permitting high-resolution simulations to
test the possibility of reconstructing surface vorticity, strain, and
divergence from snapshots of SSH. By evaluating success using pointwise
accuracy and vorticity-strain joint distributions, we show that the CNN
works well when inertial gravity wave amplitudes are weak. When the wave
amplitudes are strong, the model may produce distorted results; however,
an appropriate choice of loss function can help filter waves from the
divergence field, making divergence a surprisingly reliable field to
reconstruct in this case. We also show that when applying the CNN model
to realistic simulations, pretraining a CNN model with simpler
simulation data improves the performance and convergence, indicating a
possible path forward for estimating real flow statistics with limited
observations.
The SDG monitoring framework provides limited evidence that environmental policies are delivering multiple ecological and social benefits
Authors: Fairbrass Alison , O'Sullivan Aidan , Campbell Jillian , Ekins Paul
Published: March 2023

The Sustainable Development Goals (SDGs) provide targets for humanity to
achieve sustainable development by 2030. A monitoring framework of 248
environmental, social, and economic indicators, reported nationally by
193 UN Member States, tracks progress. The framework includes 92
environmental indicators, most of which refer to environmental policies.
The SDG monitoring framework provides data to assess whether, across
countries, environmental policies are: 1. Addressing environmental
pressures, 2. Linked to environmental improvements, and 3. Linked with
societal benefits delivered by healthy environments. We use statistical
analysis and a generalized linear modeling approach to test for
correlations between SDG indicators related to environmental policies,
environmental pressures, the state of the environment, and social
impacts delivered by healthy environments. Our results show that
environmental policies, particularly protected areas and sustainable
forest certification, are linked with environmental improvements, mainly
in forest and water ecosystems. However, we find no evidence that
environmental improvements are linked with positive social impacts.
Finally, environmental pressures, including freshwater withdrawal,
domestic material consumption, and tourism, are linked with
environmental degradation. Environmental policy responses are generally
increasing across countries. Despite this, the state of the environment
globally continues to decline. Governments must focus on understanding
why environmental policies have not been sufficient to reverse
environmental decline, particularly concerning the pressures that
continue to degrade the environment. To better track progress towards
sustainable development, we recommend that the SDG monitoring framework
is supplemented with additional indicators on the state of the
environment.
Quantifying the contributions of atmospheric processes and meteorology to severe PM2.5 pollution episodes during the COVID-19 lockdown in the Beijing-Tianjin-Hebei, China
Authors: Sulaymon Ishaq Dimeji , Zhang Yuanxun , Hopke Philip K. , Guo Song , Ye Fei , Sun Jinjin , Zhu Yanhong , Hu Jianlin
Published: March 2023

A major tool for curtailing the spread of COVID-19 pandemic in China was
a nationwide lockdown, which led to significant reductions in
anthropogenic emissions and fine particulate matter (PM2.5). However,
the lockdown measures did not prevent high PM2.5 pollution episodes
(EPs). Three severe EPs were identified in the Beijing-Tianjin-Hebei
(BTH) region during the lockdown. The integrated process rate (IPR)
analysis tool in the Community Multiscale Air Quality (CMAQ) model was
employed to quantify the contributions of individual atmospheric
processes to PM2.5 formation during the lockdown in the BTH region. The
IPR results showed that emissions and aerosol processes were the
dominant sources of net surface PM2.5 in Beijing and Tianjin,
constituting a total of 86.2% and 92.9%, respectively, while
emissions, horizontal transport, and aerosol processes dominated the net
surface PM2.5 in Shijiazhuang and Baoding. In addition, the EPs in
Beijing and Tianjin were primarily driven by local emissions, while the
EPs in Shijiazhuang and Baoding were attributed to combined local
emissions and regional transport. The reductions in PM2.5 in Case 2
relative to Case 1 were attributed to the weaker PM2.5 formation from
emissions and aerosol processes. However, the EPs were enhanced by low
planetary boundary layer heights, low vertical export of PM2.5 from the
boundary layer to the free troposphere, and substantial horizontal
import, especially in Shijiazhuang and Baoding. This study improves the
understanding of buildup of PM2.5 during the EPs, and the results
provide insights for designing more effective emissions control
strategies to mitigate future PM2.5 episodes.
Statistical Decomposition and Machine Learning to Clean In-Situ Spaceflight Magnetic Field Measurements
Authors: Finley Matthew G. , Bowen Trevor A , Pulupa Marc , Koval Andriy , Miles David Michael
Published: March 2023

Robust in-situ magnetic field measurements are critical to understanding
the various mechanisms that couple mass, momentum, and energy throughout
our solar system. However, the spacecraft on which magnetometers are
often deployed contaminate the magnetic field measurements via onboard
subsystems including reaction wheels and magnetorquers. Two
magnetometers can be deployed at different distances from the spacecraft
to determine an approximation of the interfering field for subsequent
removal, but constant data streams from both magnetometers can be
impractical due to power and telemetry limitations. Here we propose a
method to identify and remove time-varying magnetic interference from
sources such as reaction wheels using statistical decomposition and
convolutional neural networks, providing high-fidelity magnetic field
data even in cases where dual-sensor measurements are not constantly
available. For example, a measurement interval from the Parker Solar
Probe outboard magnetometer experienced a 95.1% reduction in reaction
wheel interference following application of the proposed technique.
Sojourns of a two-dimensional fractional Bronwian motion risk process
Authors: Jasnovidov Grigori
Published: March 2023

This paper derives the asymptotic behavior of P{??0 I(BH(s) ?
c1s > q1u, BH(s) ? c2s > q2u) ds > Tu}, u ? ?, where BH is a
fractional Brownian motion, c1, c2, q1, q2 > 0, H ? (0, 1), Tu ? 0 is a
measurable function and I(?) is the indicator function.
Riesz fractional integral inequalities for convex stochastic processes
Authors: Chatibi Youness , El Kinani , Ouhadan Abdelaziz
Published: March 2023

The aim of this paper is to establish some integral inequalities for convex
stochastic processes in a form of Riesz fractional integrals. These results
allow us to obtain a new class of functional inequalities which generalizes
known ones.
Existence and iteration for fourth order p-Laplacian beam equations with integral boundary conditions
Authors: Yang Youyuan , Wang Qiru
Published: March 2023

In this paper, weconsider the fourth order p-Laplacian beam equation
(?p(u??(t)))?? = f (t, u(t), u??(t)) with integral boundary conditions
u??(0) = u??(1) = 0, u(0)??u?(0) = ?10 g1(s)u(s)ds, u(1)+?u?(1) = ? 10
g2(s)u(s)ds. By using the contraction mapping principle, we establish the
existence and uniqueness of solutions for the problem. The monotony of
iterations is also considered. At last, some examples are presented to
illustrate the main results.
Estimation and prediction for a generalized half-normal distribution based on left-truncated and right-censored data
Authors: Ahmadi Kambiz , Akbari Masoumeh , Wang Liang
Published: March 2023

In this article the reliability estimation of the generalized half-normal
distribution (GHN) is considered when data are subject to both left
truncation and right censoring (LTRC). Since the EM-algorithm for the
generalized gamma distribution (that includes GHN as a special case) based
on LTRC data was developed in Balakrishnan and Mitra [Em-based likelihood
inference for some lifetime distributions based on left truncated and right
censored data and associated model discrimination; 2014, South African
Statistical Journal, 48(2), 125-171], the maximum likelihood estimates, as
well as asymptotic confidence intervals (CIs) and bootstrap CIs for the
unknown parameters of GHN, are briefly discussed. For further study, we
utilized a hierarchical Bayesian approach and proposed two sampling
techniques, the Metropolis-Hastings algorithm and the slice sampler
technique to carry out the Bayesian estimation procedure under squared error
loss function, which can be easily extended to other loss function
situations. In addition, the Bayesian prediction problem concerning the
lifetime of a censored unit and the Bayesian estimates of the expected
number of failures in a prefixed interval are investigated. Finally, some
simulation studies are carried out to compare the performance of the
proposed procedure with its competitor and data analysis of the electric
power-transformers data is conducted to illustrate the purposes.
Impact of Early Life Factors on Metabolic Phenotypes of Obesity in Preschool Children
Authors: Liao Zijun , Xie Xianghui , Wang Jing , Chen Yiren , Zhang Ting , Liu Gongshu , Chen Fangfang
Published: March 2023

OBJECTIVE

To investigate the impact of factors in the first 1,000 days of life on metabolic phenotypes of obesity in preschool children in a cohort study.

RESEARCH DESIGN AND METHODS

We recruited 3-year-old children for the study. Early life factors included maternal age at delivery, maternal education, prepregnancy BMI, gestational weight gain, gravidity, history of gestational diabetes mellitus, delivery mode, gestational age, family history of metabolic disorders, paternal education, annual family income, child sex, birth weight, and breastfeeding duration. According to BMI and metabolic status, children were classified as metabolically healthy (no metabolic risk factors) with normal weight (MHNW), metabolically unhealthy (one or more metabolic risk factors) with normal weight (MUNW), metabolically healthy with overweight or obesity (MHO), and metabolically unhealthy with overweight or obesity (MUO).

RESULTS

We recruited 3,822 children for the study, with 3,015 analyzed. Accelerated BMI z score growth rate between 6 and 24 months was associated with MHO (β = 0.022; 95% CI 0.009, 0.036) and MUO (β = 0.037; 95% CI 0.018, 0.056). Maternal overweight (odds ratio [OR] 3.16; 95% CI 1.55, 6.42) and obesity (OR 8.14; 95% CI 3.73, 17.76) before pregnancy and macrosomia (OR 2.47; 95% CI 1.32, 4.59) were associated with MHO, and maternal obesity before pregnancy (OR 6.35; 95% CI 2.17, 18.52) increased the risk of MUO.

CONCLUSIONS

Early life factors, such as maternal obesity and accelerated BMI growth rate between 6 and 24 months, were related not only to MHO but also to MUO. Children with these early life factors should be given interventions for weight control to prevent metabolic abnormalities.
Editorial Opinion on Employee Turnover due to Chat GPT and its Impact on Mental Health
Authors: Kumar Nilesh
Published: March 2023

Employee Turnover is a common issue faced by many organizations, and the advent of AI and machine learning technology has only added fuel to the fire. The increasing use of chat bots, including Chat GPT, has led to concerns about job displacement and its impact on mental health. The use of AI-powered chatbots such as ChatGPT has the potential to automate many tasks that were previously performed by humans
Psychological Implications of Virtual Learning Environments: Perspectives in the Post-Covid Period
Authors: Datta Sumona
Published: March 2023

Virtual learning has gained considerable attention in the past few decades. In the post-Covid period, digital transformation in education has metamorphosed into social transformation, paving the way for Education 5.0. In this context, it is important to consider the psychological implications of Virtual Learning Environments (VLEs), which in turn will enhance the acceptance and better utilization of technology in VLEs among educators and learners around the globe. This article discusses the implications of VLEs in the post-Covid period and the underlying psychology of teachers and learners using this technology around the globe. Further research must be done to address the issues and challenges related to the acceptance and usage of VLEs in the current education system.
Clinical Study the Relationship Between High-TSH Degree and Changes of LDL-C in Yunnan Plateau (China) Pregnant Patients’ Serum
Authors: Li Bin , Yan Kong , Meng Tian
Published: March 2023

Objective: It was to investigate the relationship between high thyrotropin, thyroid stimulating hormone (TSH) degree and changes of low-density lipoprotein cholesterol (LDL-C) in Yunnan Plateau pregnant patients’ serum in China; Methods: All pregnant woman were collected from the Kunming Angel Women's and Children's Hospital from January 2021 to October 2022, who were diagnosed by the endocrinology department, during their pregnancy. Then it analyzed their biochemical indicators levels and blood liquid parameters changes in their serum. Additionally, we investigated their epidemiological data, including the treatment history of hypothyroidism; Results: High-TSH degree and increasing of LDL-C level were both risk factors leading to hypertension, cardiovascular symptoms, symptoms of digestive tract, pregnancy ultrasound indicating small-sized fetus (P＜0.05). Importantly, they reinforce each other on patients. Their increasing caused gestational diabetes mellitus, preterm birth history and autoimmune diseases in Yunnan plateau (China). TSH≥4.3 m IU/L and DL-C≥3.6 mmol/L in the pregnant patients’ serum, which were approved by obstetric professional committee of that Hospital. Furthermore, only in high-TSH degree group, their high cholesterol could cause premature birth, elevated blood sugar, high blood pressure prenatal, postpartum infection and preeclampsia (P＜0.05); Conclusion: These risk factors (high-TSH and LDL-C changes) could affect the health of pregnant, maternal and fetal, which should be taken to manage it so as to improve the perinatal health.
Innovativeness and Performance: Evidence from Kenyan SMEs
Authors: Kiiru Daniel Kiama , Mukulu Elegwa , Ngatia Peter
Published: March 2023

Entrepreneurship has acknowledged innovation as a force behind successful business operations. As a result, the study explores how innovation affects Kenyan enterprise performance. The primary data used were obtained through surveys given out to respondents. The target population was animal fed manufacturing SMEs and unit of analysis were Owners and directors. Structural equation modeling (SEM) was the analytical technique employed. The findings indicated that innovativeness has a positive and significant impact on company performance. According to the study's findings, innovative businesses perform better. In order to thrive and succeed in the market, the study advises management and business owners of SMEs to foster an innovative culture.
Exploring the Determinants of Capital Adequacy in Commercial Banks: A Study of Bangladesh's Banking Sector
Authors: Naoaj Md Shah
Published: March 2023

This study investigates the factors that influence the capital adequacy of commercial banks in Bangladesh using panel data from 28 banks over the period of 2013-2019. Three analytical methods, including the Fixed Effect model, Random Effect model, and Pooled Ordinary Least Square (POLS) method, are employed to analyze two versions of the capital adequacy ratio, namely the Capital Adequacy Ratio (CAR) and Tier 1 Capital Ratio. The study reveals that capital adequacy is significantly affected by several independent variables, with leverage and liquidity risk having a negative and positive relationship, respectively. Additionally, the study finds a positive correlation between real GDP and net profit and capital adequacy, while inflation has a negative correlation. For the Tier 1 Ratio, the study shows no significant relationship between leverage and liquidity risk, but a positive correlation with the number of employees, net profit, and real GDP, while a negative correlation with size and GDP deflator. Pooled OLS analysis reveals a negative correlation with leverage, size, and inflation for both CAR and Tier 1 Capital Ratio, and a positive correlation with liquidity risk, net profit, and real GDP. Based on the Hausman test, the Random Effect model is deemed more suitable for this dataset. These findings have important implications for policymakers, investors, and bank managers in Bangladesh by providing insights into the factors that impact the capital ratios of commercial banks.
Inserción laboral de los egresados de la Universidad de Málaga del curso académico 2015-2016 a los tres años de egresar
Authors: Ventura Fernández Rafael , Abad-Guerero Isabel María , Peñafiel Velasco Antonio , Valverde Arrebola Mª Ángeles , Doblas Navarro Sonia , Núñez Luiáñez Raquel
Published: March 2023

El Vicerrectorado de Innovación Social y Emprendimiento junto con el Centro de Investigación Social Aplicada de la Universidad de Málaga ha llevado a cabo el INFORME GENERAL DE EGRESADOS 2015-2016 de esta Universidad. El objeto general de este estudio comprende la realización de una encuesta estadísticamente representativa para conocer la situación laboral de los últimos egresados de la Universidad de Málaga, así como los diversos aspectos de su proceso de inserción laboral. En este estudio, como en otros anteriores, se parte de la premisa de que se necesitan en torno a tres años a partir de la conclusión de los estudios para estabilizar la situación laboral, razón por la cual la encuesta se realiza después de haber terminado la titulación. La población objeto de estudio es de 7.486 egresados, de los cuales 647 eran de Doctorado, 1.567 ﬁnalizaron sus estudios de Máster, mientras que 5.272 lo hicieron en el nivel de Grado.
Political ecology and ontology: is literal critical realism the answer? A response to Knudsen
Authors: Forsyth Tim
Published: March 2023

In a recent article in this journal, Ståle Knudsen argues that the recent trend to flat ontology in political ecology is mistaken and urges more engagement with critical realism as introduced by Roy Bhaskar. His article also criticizes how various political ecologists have used critical realism. In this response, I argue that Knudsen misses the point firstly about my work but more generally also on two further matters: the challenges of discussing ontology for environmental problems that are embedded in human experience and discourse, and on his insistence that ideas about critical realism should be limited to a literal reading of Bhaskar's writings decades ago. This response gently questions Knudsen's tone and argument by making two points. Firstly, debates about critical realism should not be limited only to Bhaskar's original framework concerning different domains of the actual, empirical, and real, but also to ideas that have built on this framework. Second, political ecology does not only ask what is ecologically real but also how, and with what politics, are ideas of reality made and used. Bhaskar's writings in the 1970s were foundational to debates about critical realism, but are insufficient for understanding how ideas of ecological reality are made, persist, and include or exclude different perspectives. This article examines Knudsen's discussion of the Tragedy of the Commons as an example.
Investigating an Alternative for Estimation from a Nonprobability Sample: Matching plus Calibration
Authors: Liu Zhan , Valliant Richard
Published: March 2023

Matching a nonprobability sample to a probability sample is one strategy both for selecting the nonprobability units and for weighting them. This approach has been employed in the past to select subsamples of persons from a large panel of volunteers. One method of weighting, introduced here, is to assign a unit in the nonprobability sample the weight from its matched case in the probability sample. The properties of resulting estimators depend on whether the probability sample weights are inverses of selection probabilities or are calibrated. In addition, imperfect matching can cause estimates from the matched sample to be biased so that its weights need to be adjusted, especially when the size of the volunteer panel is small. Calibration weighting combined with matching is one approach to correct bias and reduce variances. We explore the theoretical properties of the matched and matched, calibrated estimators with respect to a quasirandomization distribution that is assumed to describe how units in the nonprobability sample are observed, a superpopulation model for analysis variables collected in the nonprobability sample, and the randomization distribution for the probability sample. Numerical studies using simulated and real data from the 2015 US Behavioral Risk Factor Surveillance Survey are conducted to examine the performance of the alternative estimators.
The role of leukotriene B4 in cow metritis
Authors: Wang Guo-Qing , Zheng Hao-Yue , Hou Jin-Long , Wang Cui , Sun Hui-Lian , Wang Lan
Published: March 2023

Introduction

Metritis is a common postpartum disease in dairy cows. As a mast cell (MC) mediator, leukotriene B4 (LTB4) is the strongest phagocyte chemokine. It is important in inflammation for the recruitment of immune cells to resist infection. This study investigated the effect of LTB4 in metritis.

Material and Methods

Twenty Holstein cows 3 to 6 years old and at 6 to 10 days postpartum were selected, ten of which with postpartum metritis were the experimental group, and the other ten of which as healthy cows were the control group. The levels of LTB4, substance P (SP) and vasoactive intestinal peptide (VIP) were measured by ELISA, the expression of LTB4 receptor 2 (BLT2), matrix metalloproteinase (MMP)-2 and MMP-9 mRNA was measured by qPCR, and collagens I and IV were detected by immunohistochemical staining.

Results

Concentrations of SP and LTB4 were significantly higher, but those of VIP were significantly lower in the experimental group than those in the control group. The expression of BLT2, MMP-2 and MMP-9 mRNA was significantly higher in the experimental group than that in the control group. The expression of collagen Ⅰ and collagen Ⅳ was significantly lower in the experimental group than that in the control group.

Conclusion

In metritis, SP promotes the activation of MC and the synthesis and release of LTB4. Leukotriene B4 chemotactic immune cells promote the high expression of collagenase, which accelerated the hydrolysis of collagen, while the inhibitory effect of VIP on MC was weakened. This may further aggravate the damage to uterine tissue.
Gestão pública e governança
Authors: Fritsch Rosangela , Lima Ruy D'Oliveira , Pasinato Darciel
Published: March 2023

Este artigo objetiva evidenciar o efeito das relações heterárquicas entre o público e o privado nas políticas educacionais para a Educação Profissional e Tecnológica brasileira a partir das recomendações do Projeto Regional de Educação para a América Latina e o Caribe. Para isso, utilizamos como aporte teórico-metodológico o materialismo histórico-dialético com enfoque qualitativo e a análise documental associada à análise de redes sociais. Os organismos internacionais como a Organização para a Cooperação e o Desenvolvimento Econômico, a Organização das Nações Unidas para a Educação, a Ciência e a Cultura, o Banco Mundial e a Organização das Nações Unidas possuem papel preponderante na formulação de políticas educacionais no mundo capitalista globalizado sob a ótica neoliberal e pautada na Nova Gestão Pública. Fica evidente o caráter de organização do Projeto Regional de Educação para a América Latina e o Caribe em redes, em uma disposição heterárquica, que engloba diferentes setores sociais, com possibilidade de atuar na gestão do poder para além da divisão entre organizações públicas e privadas, quer seja em âmbito local, regional ou global. No Brasil, o documento revela o alinhamento das reformas educacionais do Ensino Médio e da Base Nacional Comum Curricular ao School Business.
Cultura e educação
Authors: Silva Junior Alcidesio Oliveira da
Published: March 2023

As configurações culturais contemporâneas têm exigido um olhar atento ao pedagógico que se espalha na sociedade por meio dos artefatos culturais. Partindo do pressuposto de que modos de viver são aprendidos em instâncias da cultura, este artigo busca compreender como o conceito de pedagogia cultural, em especial pedagogia de gênero e sexualidade, se desenvolve entre pesquisadores/as do campo da Educação a partir de uma revisão sistemática de literatura centrada em dissertações de Mestrado e teses de Doutorado brasileiras entre os anos de 2011 e 2021. Ao recorrer às 42 pesquisas de Pós-Graduação em Educação no Brasil que argumentam podcasts, telenovelas, filmes, revistas, dentre outros artefatos, como pedagogias culturais, aponto para a expressiva capacidade subjetivadora que se evidencia na produção de identidades e modos de vida. As conclusões deste artigo, que debruçou-se especificamente sobre quatro pesquisas que articulam as pedagogias culturais às teorias de gênero e de sexualidade, apontam uma tendência para a abertura do que entendemos por pedagógico a partir das contribuições de Michel Foucault, notadamente inspiradas pela produção científica do sul do Brasil. Aprendemos, pois, por meio de múltiplos meios, o que acentua a necessidade de ampliação do nosso repertório teórico-metodológico na busca de novos olhares para as pedagogias.
Escolas Famílias Agrícolas
Authors: Araujo José Conceição Silva , Cavalcante Ludmila de Oliveira Holanda
Published: March 2023

Este artigo objetiva mostrar como as Escolas Famílias Agrícolas buscam, a partir da Pedagogia da Alternância, contribuir com a formação de jovens críticos/as, capazes de abraçar as lutas sociais do seu tempo. A pesquisa teve como foco as experiências de egressos/as de uma escola no interior da Bahia no período de 1988-1990. Tais jovens fizeram parte do período de lutas pela redemocratização do país e de um intenso processo de articulação e mobilização política no campo e na cidade. A pesquisa qualitativa discutiu a concepção de sociedade civil organizada, sua relação com os Movimentos Sociais e a Educação do Campo no diálogo com Caldart, Coutinho e Pistrak. Utilizou-se a técnica da triangulação de dados com questionários, entrevistas semiestruturadas e cartas convencionais junto a egressos/as em diferentes partes do Brasil, como Bahia, São Paulo e Pernambuco. Constatou-se que a escola pesquisada imprimiu, no processo formativo dos/as egressos/as, as características esperadas pela Alternância, tais como crítica social, formação profissional, humanista e perfil de liderança comunitária. Tais características formativas, no entanto, não foram suficientes para transformar as condições estruturantes das suas vidas de classe trabalhadora no campo e nem de evitar a mudança de muitos/as deles/as para as cidades.
Новая парадигма управления инновационным потенциалом предприятий ракетно-космической промышленности
Authors: Вотинцев Р.В.
Published: March 2023

Рассмотрены теоретические и прикладные аспекты управления инновационной деятельностью предприятий ракетно-космической промышленности (РКП) в категориях новой парадигмы управления экономическими системами. Адресована научным работникам, преподавателям, соискателям ученых степеней, студентам экономических вузов, специалистам органов управления и субъектов инновационного профиля отраслей промышленности.
НАУЧНЫЙ ПОТЕНЦИАЛ КОРЕЙЦЕВ ДАЛЬНЕГО ВОСТОКА РОССИИ
Authors: АБРОСИМОВА E.E.
Published: March 2023

В сборнике представлены материалы международной научной конференции «Научный потенциал корейцев Дальнего Востока России», организованной Владивостокским государственным университетом при поддержке The Academy of Koreans Studies (Республика Корея), состоявшейся на площадке ВВГУ 4–5 ноября 2022 г.
Geostrategic assessment of the transport and logistics capacity of the Russian cross-border regions
Authors: BOLGOVA Elena V. , BOLGOV Sergei A. , KURNIKOVA Marina V.
Published: March 2023

Subject. This article discusses the issues related to strengthening of Russia's foreign economic relations.
Objectives. The article aims to assess the role of the transport system in ensuring the growth of the key economic indicators of the Samara Oblast.
Methods. For the study, we used a statistical analysis.
Results. Based on the author-developed methodology, the article assesses the level of economic and spatial development of the transport and logistics complex of the Samara Oblast and justifies the need to create a bonded area and a logistics village.
Relevance. The proposed methodology for assessing the transport and logistics capacity can be used to determine the core aspects of foreign economic activity of the cross-border region.
Territorial specificity of the industry development factors
Authors: GOLOVKO Mariya V. , ANTSIBOR Anna V.
Published: March 2023

Subject. This article discusses the issues of formation of industrial and territorial markets.
Objectives. The article aims to analyze the regional specifics of the formation of consumer demand, considering construction- and furniture production-related industries as a case study.
Methods. For the study, we used the methods of logical and statistical analyses.
Results. Based on the analysis of statistical information from open official sources, the article substantiates the influence of such factors as consumer demand, dynamics of economic and spatial development on the development of the furniture industry. It summarizes and systematizes the problems of development of the construction industry and the furniture industry in the Krasnodar Krai.
Conclusions. When developing measures for State support of business, the region's spatial development priorities should be taken into account.
Influence of pectin on phenylpropanoid accumulation in buckwheat (Fagopyrum esculentum) sprout
Authors: Park Chang Ha , Yeo Hyeon Ji , Choi Minsol , Sathasivam Ramaraj , Uddin Md. Romij , Muthuraman Meenakshi Sundaram , Kim Haenghoon , Park Sang Un
Published: March 2023

Buckwheat (Fagopyrum esculentum Monech) contains several secondary metabolites like phenolic chemicals. Pectin has been demonstrated to be an efficient elicitor from the biotic group for triggering the defensive response, which enhances the production of secondary metabolites. In this study, the effect of pectin on the growth of buckwheat sprouts and the production of phenylpropanoid compounds in common buckwheat sprouts was investigated by using high-performance liquid chromatography (HPLC). Pectin treatments of 0, 2, 4, 6, and 8 mg/L were administered on buckwheat sprouts for ten days to assess the growth characteristics and optimum concentrations. In comparison to the control treatment, 2 mg/L pectin enhances the shoot length by 24%. But when pectin concentration continued to rise, a tendency toward shorter shoots was seen. Pectin treatment decreased the fresh weight of the sprout as compared to the control treatment. The phenylpropanoid accumulation in buckwheat sprouts varied depending on the amount of pectin utilized. Pectin treatment at 6 mg/L resulted in a 15.10% increase in total phenylpropanoid accumulation. The findings of this study indicate that pectin is a possible elicitor, however, more research on how pectin affects the buildup of phenylpropanoids in buckwheat sprouts would be more intriguing to examine the implications of this work.
Enfermedad mental y cambios institucionales en el Hospital Psiquiátrico San Isidro de Cali (1940-1970)
Authors: Castrillón-Valderrutén María del Carmen , Sánchez-Salcedo José Fernando , Peralta-Ardila María del Pilar , Montes-Martínez Mateo
Published: March 2023

El libro indaga por el cambio institucional en el campo de la salud mental en el país, durante un periodo (1940-1970) de signifcativas transformaciones sobre las formas de concebir y gestionar la enfermedad mental. Particularmente, aborda el cambio institucional del entonces llamado Hospital Psiquiátrico San Isidro de la ciudad de Cali, a partir del papel que juegan los actores a nivel individual y grupal, la influencia que tienen los sistemas de creencias en dichos cambios, las condiciones históricas que los soportan y el modo en que estos cambios se manifestan. Cada uno de los capítulos, aborda el cambio institucional, a través del análisis social e histórico sobre el paso del Asilo San Isidro a Hospital Psiquiátrico, comprendiendo una época de grandes transformaciones económicas, políticas y sociales en la sociedad colombiana y en la ciudad de Cali. El estudio de este periodo implicó la revisión y sistematización de una serie de fuentes documentales, dando prioridad a los archivos del Hospital. A partir de la información acopiada, se construyeron bases de datos con las historias clínicas y con los documentos administrativos, pero con un carácter no probabilístico, toda vez que para el periodo de estudio, no se cuenta con registros precisos de los archivos y los disponibles, no se están catalogados en su totalidad; de todas maneras, este corpus documental permitió identificar procesos de cambios y permanencias institucionales que, al ser comparados con datos de tipo macro de este hospital o de otros centros de atención para la salud mental, no divergen significativamente. Aparte de los archivos del hospital, pudieron consultarse otras fuentes, tales como el archivo del Departamento de Psiquiatría, de la Universidad del Valle y algunos periódicos locales (Relator, El País, Diario del Pacífico, entre otros). También, se realizaron algunas entrevistas y se consultaron álbumes familiares relacionados con algunos psiquiatras que fueron importantes en los procesos de modernización sanitaria y administrativa del Asilo San Isidro. Todos los capítulos se derivan del proyecto de investigación denominado “Del asilo al hospital: procesos de institucionalización de la salud mental en Bogotá y Cali 1940-1970”, Financiado por la Vicerrectoría de Investigaciones de la Universidad del Valle. Fueron diversas las preguntas de investigación desarrolladas en el marco de este proyecto, que permitieron la escritura de diversos documentos, cuatro de ellos presentados en este compendio.
Charactering Catalytic Ignition and Combustion for the Ninety-Percent Hydrogen-Peroxide/Paraffin-Based Hybrid Rocket Engine
Authors: Wang Zezhong , Lin Xin , Wu Kun , Zhang Zelin , Fang Sihan , Meng Dongdong , Li Fei , Yu Xilong
Published: March 2023

The present work performed a combined experimental and numerical investigation of the catalytic ignition and combustion characteristics for a hybrid rocket engine (HRE) using 90% hydrogen peroxide ([Formula: see text]) with a paraffin-based fuel as the propellant system. The variation of the [Formula: see text] decomposition temperature used as the analytical premise was monitored by a thermocouple and laser absorption spectroscopy based on water absorption. The effects of preheating, the number of silver mesh layers, and the usage count for the catalytic bed on the [Formula: see text] decomposition characteristics were analyzed. A preheated 60-layer silver catalyst bed provided the best decomposition performance, including the shortest catalytic decomposition delay time and the highest decomposition efficiency. A two-dimensional numerical model was built to determine the effect of decomposition efficiency decay on the HRE combustion characteristics. Variations in the combustion temperature, combustion chamber pressure, and product distribution were compared for [Formula: see text] decomposition efficiencies ranging from 70 to 100%. As the decomposition efficiency of [Formula: see text] decreased to 80%, part of the oxidizer was blown out the chamber before participating in the combustion, yielding a significant decline in the combustion performance of the hybrid rocket engine. Static firing tests were also used to determine the catalytic ignition and reignition performance of the HRE. The results showed that the performance of the catalytic bed was stable while the reignition process was rapid without a pressure peak.
Ensemble Transfer Learning Midcourse Guidance Algorithm for Velocity Maximization
Authors: Jin Tianyu , He Shaoming
Published: March 2023

This paper proposes an ensemble transfer learning guidance algorithm for angular-constrained midcourse guidance to maximize the terminal velocity. The algorithm developed improves the generalization capability of the trained deep neural network to adapt to a new environment. First several deep neural guidance networks are trained for some specific working environments via supervised learning. A small-scale ensemble transfer learning network is then leveraged to fuse the knowledge of different pretrained deep neural network. This requires much less labeled data to transfer existing knowledge to a new working environment and hence greatly improves the learning efficiency, compared to the supervised learning philosophy. Extensive numerical simulations are performed to demonstrate the effectiveness of the proposed algorithm.
Ritz R-Function Method for the Analysis of Variable-Stiffness Plates
Authors: Vescovini Riccardo
Published: March 2023

This paper presents a novel approach for analyzing the free vibration response of variable-stiffness panels. A method is proposed herein, which relies upon a combination of the R-functions and the Ritz method. A powerful and peculiar aspect of this approach consists in the possibility of handling any complex geometry with reduced modeling effort and few degrees of freedom to be handled. The so-obtained formulation is of particular interest for the early design studies of plate- and shell-like structures, especially when topological features are of concern. Specifically, the possibility of studying configurations of arbitrary shape with reduced effort is of crucial importance for exploiting the potential offered by composites with nonstraight fibers. Exemplary results are presented for structures with different geometries and shapes. The comparison against results from the literature and finite element calculations reveals the potential of the approach as a valuable mean for assisting the design of innovative variable-stiffness configurations.
In-Plane Dynamic Analysis of Complex-Shaped Laminated Cracked Plates with Irregular Holes
Authors: Zhong Rui , Wang Qingshan , Huang Zhou , Chen Longting , Shao Wen , Shuai Cijun
Published: March 2023

This paper reports the unified in-plane vibration solutions of irregular laminated cracked plates having complex holes under various boundary restrictions. According to the geometric features of the studied structure, an irregular plate with/without the dropoff ply is decomposed into a variety of intact triangular and quadrilateral laminated elements. These elements are then mapped to two-dimensional regular square plates for deriving the unified formulations of the element energy integral. Simultaneously, the boundary restrictions at the external edge of the plate and fully rigid connections between the substructures are emulated through in-plane translational springs. The in-plane variables of intact plate elements are characterized by Chebyshev element expansions. Thus, the in-plane modal and harmonic response solutions are extracted by performing the general Rayleigh–Ritz procedures. Some in-plane vibration tests and finite element simulations concerning cracked plates with built-in holes are further executed. The applicability and accuracy of the proposed dynamic model are validated by comparison with the experimental data and those computed by finite element models (FEM). Also, some parametric cases are presented to investigate the influence of structural parameters, laminated configurations, and the dropoff ply effect on the in-plane dynamic characteristics of complex-shaped plates, which may provide useful benchmarks for structural design and damage detection of engineering structures.
Métodos de avaliação em cenários de prática para preceptores de enfermagem: o que dizem os sujeitos?
Authors: Alexandre Tatyane Manso de Oliveira , Duque Taciana Barbosa , Silva Bruno Hipólito da , Lorena Suélem Barros de
Published: March 2023

Objetivo: Analisar quais os saberes pedagógicos da preceptoria de enfermagem relacionados à avaliação. Métodos: A partir do modelo de desenho instrucional de Kemp, Morrison e Ross, aplicado questionário semiestruturado com os preceptores de enfermagem acerca do processo de avaliação utilizado e das estratégias adequadas ao cenário clínico, levando em consideração o princípio das metodologias ativas e norteando a construção de proposta de métodos de avaliação direcionado à coordenação do programa. Resultados: Com base nas respostas dos preceptores, foi analisada a compreensão sobre o tema, além da identificação das dificuldades no decorrer do processo avaliativo do residente de enfermagem e verificado que o feedback é a principal ferramenta utilizada, apresentando um ranking médio de aproximadamente 4.5 (dp-0.69). Considerações finais: Os preceptores de enfermagem necessitam de qualificação contínua para a execução do processo avaliativo dos residentes, apesar do alto nível de concordância acerca do reconhecimento e avaliação das competências a serem desenvolvidas por estes profissionais.  Deste modo, a capacitação propõe a formação em serviço associado ao uso de ferramentas pedagógicas atualizadas e novas tecnologias na área.
Intervenção por realidade virtual associada a esteira ergométrica sobre o congelamento de marcha na Doença de Parkinson
Authors: Oliveira Allana Graim de , Monteiro William Souza , Macêdo Rafaela Cordeiro de
Published: March 2023

Objetivo: Investigar se a intervenção por Realidade Virtual associado a esteira ergométrica beneficiará o congelamento de marcha no paciente com Doença de Parkinson. Métodos: Um estudo quantitativo, longitudinal, experimental, não controlado e aberto. Incluindo 2 pacientes de ambos os sexos e idade de 77 anos, com diagnóstico de Doença de Parkinson e que possuem congelamento de marcha. Ocorreu em uma clínica de instituto superior, 2 vezes por semana durante 5 semanas, com duração de 30 minutos a sessão. Foram avaliados no pré e pós-tratamento por meio de escalas de Índice de Marcha Dinâmica (IDM), Escala de Congelamento de Marcha (FOG-Q) e Escala Unificada de Avaliação da Doença de Parkinson (UPDRS) para o estadiamento da doença. Resultados: A intervenção levou a uma melhora discreta dos instrumentos de avaliação utilizados, (p=0,684) em IDM, (p=0,776) em FOG-Q e (p=0,544) em UPDRS, enfatizando a melhora principalmente da marcha com dupla tarefa. Conclusão: A intervenção mostrou benefícios no congelamento de marcha, evidenciando a efetividade deste tratamento devido a evolução positiva dos instrumentos utilizados, todavia, não foi um estudo com número elevado de sessões e de participantes, limitando os dados representados.