bluuebunny/crossref_metadata_2025 huggingface dataset:
NRN1 and CAT Gene Polymorphisms, Complex Noise, and Lifestyles Interactively Affect the Risk of Noise-Induced Hearing Loss
Authors: LIU Shuang-yan , XIN Jia-Rui , LI Zheng , LEI Song , CHEN Ying-Qi , ZHAO Tian-Yu , WANG Hai-Yan , XU Liang-Wen , ZHANG Mei-Bian , YANG Lei
Published: October 2020

Background: Multiple genetic and environmental factors influence the severity of NIHL. However, few studies have reported interactions among such factors in modulating the risk of NIHL. This study aimed to assess for interactions among gene polymorphisms, noise metrics, and lifestyles on the risk of NIHL.Methods: A case-control study was conducted using 307 patients with NIHL and 307 matched healthy individuals from five manufacturing industries. General demographic data, lifestyle details, and noise exposure levels were recorded. The kompetitive allele-specific polymerase chain reaction (KASP) was used to analyze the genotypes of 18 single nucleotide polymorphisms (SNPs). The generalized multifactor dimensionality reduction (GMDR) method was used to examine the effects of all possible interactions. Results: The proportion of people with complex noise exposure, high CNE, high adj-CNE, smoking, propensity to watch loud videos, or sedentary lifestyle was significantly greater in the NIHL group than in the healthy group (P < 0.05). The GMDR model demonstrated a relevant interaction between NRN1 rs3805789 and CAT rs7943316. Subjects with the SNP pair of NRN1 rs3805789-CC and CAT rs7943316-AT, NRN1 rs3805789-CT and CAT rs7943316-AA, NRN1 rs3805789-CT and CAT rs7943316-TT, NRN1 rs3805789-CT/TT and CAT rs7943316-AA, or NRN1 rs3805789-CC and CAT rs7943316-AT/TT had higher risks of NIHL than those with NRN1 rs3805789-CC and CAT rs7943316-AA (P < 0.05). There was an interaction among NRN1 rs3805789, CAT rs7943316, and kurtosis. Subjects exposed to complex noise and carrying both NRN1 rs3805789-CT and CAT rs7943316-TT or NRN1 rs3805789-CT/TT and CAT rs7943316-AA had higher risks of NIHL than those exposed to steady noise and carrying both NRN1 rs3805789-CC and CAT rs7943316-AA (P < 0.05). The best six‐locus model involving NRN1 rs3805789, CAT rs7943316, smoking, video volume, physical exercise, and working pressure for the risk of NIHL was found to be the interaction (P = 0.0010). An interaction was also found among smoking, video volume, physical exercise, working pressure, and kurtosis (P = 0.0107).Conclusions: Complex noise, high CNE, high adj-CNE, smoking, high video volume, and sedentary lifestyle are environmental risk factors for NIHL. Concurrence of NRN1 rs3805789 and CAT rs7943316 constitutes a genetic risk factor for NIHL. Complex noise exposure significantly increases the risk of NIHL in subjects with a high genetic risk score. Interactions between genes and lifestyle as well as noise metrics and lifestyle affect the risk of NIHL. These results provide a theoretical basis for screening genetic and environmental risk factors to prevent NIHL.
Serum HBV RNA Correlated with Intrahepatic cccDNA More Strongly than other HBV Markers During Peg-Interferon Treatment
Authors: Wang Xiaomei , Chi Xiumei , Wu Ruihong , Xu Hongqin , Gao Xiuzhu , Yu Lei , Liu Longgen , Zhang Mingxiang , Tan Youwen , Niu Junqi , Jin Qinglong
Published: October 2020

Background: Serum hepatitis B virus RNA (HBV RNA) has been reported to be a surrogate marker of intrahepatic cccDNA during nucleos(t)ide analogs therapy. However, whether HBV RNA is superior to other HBV markers reflecting cccDNA profile in HBeAg-positive patients during peg-interferon (peg-IFN) treatment was still unclear.Methods: Serum HBV RNA, HBcrAg, HBV DNA, and HBsAg were longitudinally assessed among 30 HBeAg-positive patients during 48-week peg-IFN treatment. The intrahepatic cccDNA was detected at baseline and week 48, respectively. The individual correlations between HBV RNA, HBcrAg, HBV DNA, HBsAg, and cccDNA were then statistically analyzed.Results: HBV RNA levels in patients with HBeAg seroconversion decreased more rapidly compared with those without HBeAg seroconversion. Among all patients, cccDNA correlated better with HBV RNA than with HBcrAg, HBV DNA, and HBsAg at baseline. After 48 weeks of treatment, cccDNA still correlated more strongly with HBV RNA than other HBV markers. For subsequent analysis, cccDNA positively correlated with HBV RNA and HBcrAg whereas did not correlate with HBV DNA and HBsAg in patients with HBeAg seroconversion. However, cccDNA highly correlated with HBV RNA and HBV DNA, moderately correlated with HBcrAg, while no correlation was observed between cccDNA and HBsAg in patients without HBeAg seroconversion.Conclusion: Serum HBV RNA correlated more strongly than HBcrAg, HBV DNA, and HBsAg with intrahepatic cccDNA levels before and after 48-week peg-IFN treatment. The level of serum HBV RNA may be a superior surrogate marker reflecting the intrahepatic cccDNA profile in HBeAg-positive patients during peg-IFN treatment.Trial registration: ClinicalTrials, NCT03546530. Registered 1 January 2015. https://clinicaltrials.gov/ct2/results?cond=&term=NCT03546530&cntry=&state=&city=&dist=
Fast prototyping of a local fuzzy search system for decision support and retraining of hospital staff during pandemic
Authors: Bakin Evgeny , Stanevich Oksana , Lioznov Dmitry , Kulikov Alexander
Published: October 2020

Purpose. COVID-19 pandemic has shown an urgent need for decision support systems to help doctors in a period of stress and uncertainty. However, significant differences in hospital conditions, as well as skepticism of doctors about machine learning algorithms, limit their introduction into clinical practice. Our goal was to test and apply a principle of "patient-like-mine" decision support in rapidly changing conditions of a pandemic.Methods. In the developed system we implemented a fuzzy search that allows a doctor to compare their medical case with similar cases recorded since the beginning of the pandemic in their medical center. Various distance metrics were tried for obtaining clinically relevant search results. With the use of R programming language, we designed the first version of the system in approximately a week. A set of features for the comparison of the cases was selected with the use of random forest algorithm implemented in Caret. Shiny package was chosen for the design of GUI. Results. The deployed tool allowed doctors to quickly estimate the current conditions of their patients by means of studying the most similar previous cases stored in the local health information system. Extensive testing of the system during the first wave of COVID-19 has shown that this approach helps not only to draw a conclusion about the optimal treatment tactics and to train medical staff in real-time but also to optimize patients’ individual testing plans.Conclusions. This project points to the possibility of rapid prototyping and effective usage of "patient-like-mine" search systems at the time of a pandemic caused by a poorly known pathogen.
Early glycolytic reprogramming control microglial inflammatory activation
Authors: Cheng Junjie , Zhang Rong , Ke Youliang , Xu Zhirou , Sun Renjuan , Yang Huicui , Zhen Xuechu , Zheng Long-Tai
Published: October 2020

Background Microglial activation-mediated neuroinflammation plays an important role in the progression of neurodegenerative diseases. Inflammatory activation of microglial cells is often accompanied by a metabolic switch from oxidative phosphorylation to aerobic glycolysis. However, the roles and molecular mechanisms of glycolysis in microglial activation and neuroinflammation are not yet fully understood.Methods The anti-inflammatory effects and its underlying mechanisms of glycolytic inhibition in vitro were examined in LPS activated BV-2 microglia or primary microglia cells by ELISA, RT-PCR, Western blot, immunoprecipitation, FACS and NF-κB luciferase reporter assays. The anti-inflammatory and neuroprotective effects of glycolytic inhibitor, 2-DG in vivo were measured in the MPTP-or LPS-induced PD models by immunofluorescence staining, behavior tests and Western blot analysis. Results We found that LPS rapidly increased glycolysis in microglial cells, and glycolysis inhibitors (2-DG and 3-BPA), siRNA Glut-1 and siRNA HK Ⅱ abolished LPS-induced microglial cell activation. Mechanistic studies demonstrated that glycolysis inhibitors significantly inhibited LPS-induced phosphorylation of mTOR, IKKβ and IκB, degradation of IκB, nuclear translocation of p65 and NF-κB transcriptional activity. In addition, 2-DG significantly inhibited LPS-induced acetylation of p65/RelA on lysine 310, which is mediated by NAD+-dependent SIRT1 and is critical for NF-kB activation. A coculture study revealed that 2-DG reduced the cytotoxicity of activated microglia toward MES23.5 dopaminergic neuron cells with no direct protective effect. An in vivo study demonstrated that 2-DG significantly ameliorated neuroinflammation and subsequent DA neuronal cell injuries in an LPS-induced Parkinson’s disease (PD) model. Furthermore, 2-DG also reduced TH-positive cell loss and microglial activation in the MPTP-induced PD model. Conclusions Collectively, our results suggest that glycolysis is actively involved in microglial activation and, hence, that inhibition of glycolysis can ameliorate microglial activation-related neuroinflammatory diseases.
Modeling and forecasting hospitalized mortality rate of COVID-19 according to delay effect of daily hospitalization
Authors: Rastaghi Sedighe , Shark Noushin Akbari , Saki Azadeh
Published: October 2020

Introduction: The COVID-19 infectious epidemic has become a serious worry all over the world, including Iran. The high outbreak of disease ranked Iran as second in Asia and 11th in the world. Given the growing progress of this epidemic in infecting and killing individuals, it is essential to forecast the delay effect of the number of hospitalized upon the hospitalized mortality rate. Methods: In this study, we used the daily Hospitalization cases of COVID-19 of IRAN for the period of 15-May 2020 to 5-Oct 2020 which were obtained from the "Iran-COVID-19-Data[1]" database. Five distribution delay models were compared for estimating and forecasting. Results: based on measurement errors DDM selected as the best model for forecasting the number of death. According to this model, the long-run effects show that observing the effect of hospitalization counts on death counts takes an average of five days and the overall hospitalized mortality rate was 12%.Conclusion: The overall hospitalized mortality rate of COVID-19 in Iran is less than the global rate of 15%. The mean of delay effect of daily hospitalization on mortality is approximately 5 days. Our findings showed distributed delay model (DDM) has better performance in the forecasting of the future behavior of the Coronavirus mortality, and providing to government and health care decision- makers the possibility to predict the outcomes of their decision on public health.
Presentación
Authors: Restrepo Escobar Sandra Milena
Published: October 2020

El consumo de sustancias psicoactivas y las adicciones comportamentales genera investigaciones de diferentes áreas, de ahí que una temática como esta no sea abordada desde una sola disciplina, sino que se abarque preguntas interdisciplinares que nutren tanto la prevención como el tratamiento de las adicciones.
EFEKTIVITAS BAHAN AJAR BERBASIS POTENSI LOKAL PADA MATERI PISCES TERHADAP HASIL BELAJAR
Authors: Destiara Meyninda
Published: October 2020

Potensi lokal merupakan kekayaan suatu daerah yang dapat dimanfaatkan sebagai bahan belajar mandiri bagi siswa. Salah satu bentuk potensi lokal yang dapat dijadikan rujukan belajar mandiri adalah jenis-jenis ikan pada materi pisces. Penelitian ini bertujuan untuk melihat efektivitas bahan ajar berbasis potensi lokal. Metode yang digunakan yaitu deskriptif-kuantitatif. Berdasarkan hasil penelitian terlihat bahan ajar yang digunakan efektif ketika digunakan dalam menunjang pembelajaran, dilihat dari nilai n-gain rata-rata sebesar 0,75 dengan katagori tinggi.
MODELOS: DO GLAMOUR À ESCRAVIDÃO CONTEMPORÂNEA
Authors: Franco Roberta Portella , Vieira Fernando De Oliveira , Rambaldi Mariana
Published: October 2020

O presente estudo teve como objetivo principal avaliar a analogia à escravidão contemporânea na vida das modelos de moda. Para alcançar tal objetivo, foi realizada uma pesquisa de campo qualitativa, na qual cinco modelos brasileiras, com mais de três anos de carreira e com experiência internacional, foram entrevistadas. A partir dos resultados obtidos nas entrevistas, observou-se que há indícios de escravidão contemporânea na carreira de modelo, tais como jornada exaustiva, condições degradantes e restrição de locomoção.
DO TREINAMENTO E DESENVOLVIMENTO PARA A EDUCAÇÃO CORPORATIVA: TRANSIÇÕES PARADIGMÁTICAS NA CONSTRUÇÃO DO SABER NOS ESPAÇOS ORGANIZACIONAIS
Authors: Silva Anicleide Pereira , Freitas Florence Cavalcanti Heber Pedreira , D’Ambrosio Izabel Silva Souza
Published: October 2020

Este artigo tem como objetivo discutir a concepção de educação corporativa (EC) como um modelo emergente frente aos tradicionais processos de treinamento e desenvolvimento (TD) nos espaços organizacionais. Para tanto, os fios discursivos conceituais de alguns autores foram tecidos, relacionando transições e controvérsias paradigmáticas na construção do saber nos campos científicos e nos espaços organizacionais. O debate proposto articula as noções de modernidade e pós-modernidade no campo acadêmico, conectando-as com os conceitos e as práticas nos modelos destacados de construção do saber nos espaços organizacionais. Discutimos argumentos que sustentam a EC como sistema com status de novo paradigma de desenvolvimento de trabalhadores. Enfatizamos a importância de compreender os sentidos e (res)significações do saber na concepção de “educação” em espaços organizacionais.
RAÍZES DA RESISTÊNCIA
Authors: De Lima Ana Flávia Martins , Rodrigues de Oliveira Cíntia
Published: October 2020

Esta fotografia foi capturada durante expedição nos arredores da Mina Boa Vista entre as comunidades Macaúbas e Mata Preta no município de Catalão, Goiás. A construção, datada do século passado, foi tomada pela vegetação. Na imagem, a árvore se constituiu sobre a estrutura da casa como um convite a transposição daquilo que aparemente é instransponível. A casa, é uma lembrança dos lares que não existem mais, mas cuja memória insiste em persistir, graças as raízes ancestrais entranhadas naqueles que lá viveram. Nesse sentido, as raízes podem ser compreendidas como um símbolo da resistência diante das transformações provocadas pela exploração necrocapitalista do território.
Experimental study on the static properties of single dimensional bidirectional bending joint
Authors: Liu Hongbo , Li Junye , Geng Dexu
Published: October 2020

In order to increase the lateral stiffness of the joint, a new kind of single-dimensional bidirectional bending joint was developed. Based on the equilibrium analysis of force and moment of the joint and considering the influence of the joint deformation law, the static bending theoretical model of the joint was established. The experimental system was set up to carry out bending experimental. The experimental results show that the experimental data of the joint are consistent well with the theoretical data. The bending deformation has a good consistency of swinging angle from left to right. At 0.35 mPa, the bending angle of the angle reaches 57.5°, which can be used as elbow or knee joints in bionic machinery.
Design and application of fuel injection drive circuit for engine test bench
Authors: Deng Baoqing , Jia Yuchuan , Bo Zhang , Deng Zhenyu , Gao Zengfa
Published: October 2020

Based on the STM32 library function, this design is developed a good docking with the engine, without changing the engine's original ECU. Only on the test bench, this design which connected to the device can enter the injection pulse width, so as to control the engine mixture concentration. Using this experimental device, the fuel adjustment characteristic experiment was completed on the existing engine test bed, which verified that the experimental device developed by this design had good adaptability in use. In this way, universities and research institutes can use this experimental device to easily complete the fuel adjustment characteristic experiment, and can also provide a convenient tool option for the calibration and optimization of the engine pulse spectrum.
FDTD analysis of transient fault induced travelling-wave propagation for multi-branch distribution networks
Authors: Li Minqiang , Liu Baiyang , Wang Chen , Yu Kun , Wu Yongze , Zeng Xiangjun
Published: October 2020

Many methods are available to analyze the process of the travelling-wave propagation. Among these methods, the Finite Difference Time Domain (FDTD) method has a distinct advantage in calculating dynamic process of the travelling wave propagation in the time domain and is thus applied to the field of power system protection for researching transient fault induced travelling-wave propagation. The novelty of this paper is that the attenuation law of the traveling wave signal affected by the fork junction in the multi-branch distribution network is summarized and the cause of failure in the fault location based on the incipient travelling wave front method in distribution networks is found.
Identification of loose particles using deep learning convolutional network
Authors: Li Yanggang , Meng Cai , Zhang Guoqiang , Zhao Changxing
Published: October 2020

Loose particles inside components can be threats to their reliabilities. Automatic identification of loose particles’ material has great significance for finding the source of them. Machine learning methods based on hand-craft features have been widely applied on this problem. As deep learning has made success on various domains, based on PIND (particle impact noise detection) test, a method using spectrograms and CNN (convolutional neural network) is proposed in this paper. First, signals of loose particles including different material are collected by experiments. Then signals are converted to spectrograms. Finally, spectrograms are input to CNN for training and classification. Experiments show that the method can achieve 96 % accuracy on identifying five types of loose particles and has values of practically use.
Temperature field analysis of fuel injection nozzle based on fluid-solid coupling method
Authors: Zhuang Lan , Qian Jin , Kong Yuange , Wu Miao , Zhou Xiaojun
Published: October 2020

Fuel injection nozzle is one of the key components of fuel injection system. The accuracy of the temperature field analysis is related to its working reliability. In order to obtain the temperature field of the nozzle, this paper considers the interaction of the fluid domain and solid domain, establishing a heat transfer model by fluid-solid coupling method. Compared with empirical formula method, the results show that the coupling method can fully simulate the characteristics of the flow fluid and improve precision of the temperature of the nozzle, which plays an important role in the subsequent thermal fatigue analysis of the nozzle.
Eddy current damper capable of collecting electric energy
Authors: Yu Wenbin , Yang Guolai
Published: October 2020

This paper presents an eddy current damper model that can store electrical energy. The damper is mainly used under strong impact load. On the basis of generating sufficient electromagnetic damping force to resist the impact load, the generated eddy current is guided out of the device through the winding and connected to the energy storage components of the external circuit. In this way, it is realized that the eddy current damper has the function of resisting the impact load. And at the same time, the eddy current damper can convert a part of the impact energy into electric energy and store it in the energy storage element. After research, the theoretical scheme is completely feasible, and the single impact energy conversion efficiency can reach 2.33 %.
Study on simulation of wind load characteristics for photovoltaic generation systems
Authors: Wu Miao , Zhou Xiaojun
Published: October 2020

Photovoltaic generation systems can automatically track the angle of sunlight. The system consists of four photovoltaic (PV) panels which can adjust pitch angle and azimuth angle according to the sunlight. The variation of the wind coefficient and wind load characteristics of the PV panels with the pitch angle and azimuth angle is obtained through the wind tunnel simulation based on FLUENT to determine the flow characteristics around the PV panels.
Research on simulation and optimization of vehicle road noise based on random method
Authors: Jiang Dayong , Sun Zuokui , Zhang Yongren , Qiu Bin , Yu Xiongying , Jia Xiaoli
Published: October 2020

With the rapid development of automobile industry, electric vehicles are more and more popular. A large part of the excitation comes from the road, so in the early stage of automobile development, we should pay attention to the vibration and noise caused by the road surface. This paper mainly studies how to simulate and optimize the vehicle road noise with the random method, and focuses on the basic principle of the random method and the road noise optimization method. The simulation of road noise with the random method can effectively predict the performance of the full vehicle. Based on the modal energy of vehicle body, the optimization of road noise performance is carried out, which provides effective basis for vehicle research and development.
Numerical simulation analysis of PELE penetrating target plates with different thicknesses
Authors: Wu Gang , Wang Xin , Ji Chong , Zhao Changxiao , Zhu Haojie
Published: October 2020

PELE (Penetrator with Enhanced Later Effect) is a new type of ammunition, which does not need to be filled with explosives and fuses, but has the function of armor piercing projectile and grenade at the same time. The numerical simulation of a 60 mm diameter PELE penetrating target was investigated. The results show that in the process of the target plate becoming thicker, the transverse effect first increases and then weakens, and the optimal target plate thickness range is 4-6 cm; the properties of the core material have an important influence on the transverse effect of PELE; with the increase of the core radius, the radial velocity of the fragments after PELE penetrating the target first increases, then decreases and then increases, and the optimal core radius is 2-2.6 cm.
Study on response characteristics of rotor-bearing system under sudden base excitation load
Authors: Feng Zhaojun , Luo Guihuo , Yang Zedong , Zheng Nan , Chen Wei
Published: October 2020

In this paper, the rotor system with nonlinear bearing force and base excitation load was modeled based on finite element method, and its response characteristic under the excitation of base load was studied. The results show that the response of the rotor is the superposition of the basic impulse response and the unbalanced response. The pulse excitation energy can be dispersed while the rotation speed and pulse frequency are close to each other. When the phase difference of unbalanced excitation is 180°, the response amplitude of rotor bearing system was the smallest. The correctness of the rotor bearing system model was verified by experiments.
5-year monitoring of the dynamic properties of a 32-story SRC structure
Authors: Tian Hui , Dong Yinfeng , Li Dong
Published: October 2020

The dynamic properties of the structure are related to many factors, such as mass distribution, component stiffness, material properties. In addition, environmental conditions may also affect the dynamic characteristics. In this paper, the modal identification of 133 strong earthquakes recorded in a 32-story SRC building structure in Tokyo from 2013 to 2018 is performed first, and then the dynamic characteristics (natural frequency, damping ratio) are obtained. The statistical regression analysis is used to analyze the influence of environmental conditions (temperature, humidity) on the dynamic characteristics of the high-rise SRC building structure, and the change trend of its dynamic characteristics. Finally, the results of the analysis are given to provide experience and basis for the design of similar building structures.
Verification of FPA and PSO algorithms for rule curve extraction and optimization of single- and multi-reservoir systems' operations considering their specific purposes
Authors: Bozorg-Haddad Omid , Azad Marzie , Fallah-Mehdipour Elahe , Delpasand Mohammad , Chu Xuefeng
Published: October 2020

The optimal operation of reservoirs is known as a complex issue in water resources management, which requires consideration of numerous variables (such as downstream water demand and power generation). For this optimization, researchers have used evolutionary and meta-heuristic algorithms, which are generally inspired by nature. These algorithms have been developed to achieve optimal/near-optimal solutions by a smaller number of function evaluations with less calculation time. In this research, the flower pollination algorithm (FPA) was used to optimize: (1) Aidoghmoush single-reservoir system operation for agricultural water supply, (2) Bazoft single-reservoir system operation for hydropower generation, (3) multi-reservoir system operation of Karun 5, Karun 4, and Bazoft, and (4) Bazoft single-reservoir system for rule curve extraction. To demonstrate the effectiveness of the FPA, it was first applied to solve the mathematical test functions, and then used to determine optimal operations of the reservoir systems with the purposes of downstream water supply and hydropower generation. In addition, the FPA was compared with the particle swarm optimization (PSO) algorithm and the non-linear programming (NLP) method. The results for the Aidoghmoush single-reservoir system showed that the best FPA solution was similar to the NLP solution, while the best PSO solution was about 0.2% different from the NLP solution. The best values of the objective function of the PSO were approximately 3.5 times, 28%, and 43% worse than those of the FPA for the Bazoft single-reservoir system for hydropower generation, the multi-reservoir system, and the Bazoft single-reservoir system for rule curve extraction, respectively. The FPA outperformed the PSO in finding the optimal solutions. Overall, FPA is one of the new evolutionary algorithms, which is capable of determining better (closer to the ideal solution) objective functions, decreasing the calculation time, simplifying the problem, and providing better solutions for decision makers.
INTERSECÇÃO ENTRE A FORMAÇÃO CONTINUADA DE PROFESSORES E AS VÁRIAS TIPOLOGIAS DE SABERES DOCENTES NAS PESQUISAS BRASILEIRAS
Authors: Antonio Moralles Vagner , Moura Bego Amadeu
Published: October 2020

Pesquisas sobre a temática de saberes docentes evidenciaram que a complexidade dos eventos em sala de aula exige mais do que apenas a mobilização de saberes, o professor deve diariamente construir e reconstruir seus conhecimentos. Assim, a formação continuada se configura em um processo ímpar de ressignificação da prática profissional do professor. O objetivo deste trabalho é caracterizar a intersecção entre as discussões sobre os saberes docentes e a formação continuada de professores em periódicos brasileiros, utilizando o método da revisão sistemática. Como resultados constatou-se que a área de matemática é a que mais realiza essa intersecção, sendo o Ensino Fundamental o principal foco. A pesquisa apontou, ainda, que as investigações na interface formação continuada e saberes docentes se encontram polissêmicas e polifônicas, não sendo possível identificar tendências teórico-metodológicas.
A UTILIZAÇÃO DA PESQUISA QUALITATIVA COMO METODOLOGIA PEDAGÓGICA NOS ANOS INICIAIS DO ENSINO FUNDAMENTAL
Authors: Da Conceição Vicente de Almeida Maria , Duarte Lopes Talina Marília , Jantalia Camille , Pires de Queiroz Paulo
Published: October 2020

O presente artigo tem por objetivo indicar a possibilidade de a pesquisa qualitativa ser utilizada como metodologia pedagógica reveladora da realidade social de um determinado grupo de indivíduos, mesmo com crianças dos anos iniciais do ensino fundamental. A pesquisa, parte integrante de um estudo a nível de doutorado, foi realizada no ano de 2018, com estudantes dos anos iniciais do ensino fundamental no Colégio Pedro II, escola pública federal do Rio de Janeiro. Em sala de aula, a utilização da pesquisa qualitativa surgiu a partir de conversas sobre os Direitos Humanos da Criança. A demanda da pesquisa surgiu da necessidade de dar ouvidos às vozes que queriam dialogar, expressar seus anseios, alegrias, medos e situações em que as crianças percebiam seus direitos desrespeitados. A metodologia utilizada revelou-se eficaz no que tange a leitura de mundo dos alunos, permitindo um conhecimento mais aprofundado de suas realidades.
“O que desaparece? E o que sobra?”: leituras intermediais em Pickpocket, de João Miguel Fernandes Jorge
Authors: Reis Maria Miguel
Published: October 2020

The present article focuses on the interartistic discourse and in the significance of inter-mediality in the book Pickpocket, by the author João Miguel Fernandes Jorge, since it’s a book whose poetry is born from the cinema of Robert Bresson. Initially, it becomes crucial to emphasize the impor-tance of intermediality in the writing of Fernandes Jorge, to comprehend what type of relationship does the author establishes with the cinema. In turn, we will carry out a book analysis that seeks to underline and cherish its dialoguing component and, at the same time, consider what sort of relationship the wri-ting of Fernandes Jorge proposes with the Bressonian cinema.
“Pensar com as mãos”: o radical processo de intertextualidade godardiana em Imagem e Palavra
Authors: Altberg Maria
Published: October 2020

The starting point of this article is the feature film The Image Book (2018), by Jean--Luc Godard, anchored in the idea of “thinking with your hands”. A conspicuous characteristic of the filmmaker’s work, the manipulation of sounds and images, is taken to the limit in this film-book. The aesthetic options and editing procedures presented provide an extreme sensorial experience. This thought-provoking language, free of a télos, merges with life itself. Based on the artistic and political tapestry woven by Godard, the article invites theorists and artists who, escaping from normality, made the challenging journey of thinking stories that can resist time(s)
A alegoria como poética do (ex)combro em Manoel de Barros: uma visada benjaminiana
Authors: Moraes Paulo Eduardo Benites de , Santos Rosana Cristina Zanelatto
Published: October 2020

Walter Benjamin was one of the philosophers who most appropriately discussed the dialectics of history as a movement of extremes, that is, as an impoverished present experience before the glories of the past, which conceals, ironically, another formulation, exposed in the 9th thesis “On the concept of history”: which presents the interpretation of the allegory (ex)put in The Angelus Novus, by Paul Klee, as the “hippocratic facies of history” (Benjamin 1984), thinking this image as “the core of allegorical vision” (ibidem). Manoel de Barros, in his time, dialogues with both Klee and Benjamin, in a movement of (ex)position of episodic scenes/fragments of a nature always in a state of violence, suffering, tedium and death, despite an appearance of exuberance and abundance. In this essay, we propose to discuss/read in Barros’ poetry these poetic-allegorical constructions of nature, especially in the light of The Origin of German Tragic Drama and the thesis IX of Theses on the Philosophy of History by Walter Benjamin (1984 and 1986, respectively), as well as texts by Jeanne Marie Gagnebin (2013) and Michel Löwy (2005) on allegory in the Benjamin’s perspective.
Ruídos clássicos ou a sangria antiga em Nadar na Piscina dos Pequenos
Authors: Gomes Daniel de Oliveira
Published: October 2020

Golgona Anghel’s poetry suggests criticism of the modern liquid world, where the subject is regulated by superficial relationships and the monotony of everyday life. She works on the issue of success and infamy, seeking the place of infamy as her paradoxical compass. In this essay, we investigate her appropriation of the classics, especially her references to the Greeks, seeking to analyze several aspects of the book Nadar na Piscina dos Pequenos, released in 2017.
Effect of risk of using computerized AIS on external auditor's work quality in Yemen
Authors:   Department of Accounting, Hodeidah University, Al Hudaydah, Yemen, et al. Al-Hattami
Published: October 2020

This study aimed to identify the effect of the risks of using computerized AIS in facilities subject to auditing on external auditor's work quality. The study was applied to Yemeni external auditors, with a targeted sample size of 120 people who were randomly selected. Data were collected through questionnaires. The collected data were processed using SPSS version 23. The results of this study revealed a statistically significant effect of risk associated with the use of computerized AIS (human risks, environmental risks, and viruses’ risks) on external auditor's work quality. However, human risks are the most risk to the external auditor in the audited facilities. From a practical standpoint, AIS and IT auditors, and facilities subject to auditing all stand to gain from the results of this study.
The Roles of Inflammation, Oxidative Stress and the Gut-Brain Axis in Treatment Refractory Depression in Youth: Complementary and Integrative Medicine Interventions
Authors: Simkin Deborah R. ,   Department of Psychiatry, Emory School of Medicine, 4641 Gulfstarr Dr. Suite 106, Destin, Florida 32541, USA, Arnold L. Eugene
Published: October 2020

Teen depression and suicide rates have risen despite conventional treatments. This article reviews adjunctive interventions that may improve outcomes. A search of the National Library of Medicine database used tailored searches with combinations of specific terms. Modern lifestyle is associated with increased inflammation and pro-inflammatory cytokines leading to, for instance, hyperactivation of the hypothalamic-pituitary-adrenal axis, which promotes depression. Inflammation also increases oxidative stress, leading to mitochondrial dysfunction, also associated with depression. Diets with less probiotic-containing fermented foods change the microbiome and decrease the bio-availability of mood-regulating B vitamins crucial to neurotransmitter production. Vitamin D deficiency allows increased pro-inflammatory cytokines and disrupts mitochondrial function and monoamine production. Deficiencies/insufficiencies of magnesium, Vitamin D, and B vitamins correlate with depression severity. Deficiencies of the folate and methylation cycles may lead to treatment-resistant depression. Imbalance of omega-6 and omega-3 fatty acid intake allows more pro-inflammatory eicosanoids (prostaglandins, thromboxanes, leukotrienes) from omega-6 than anti-inflammatory eicosanoids from omega-3. Refractory youth depression may be linked to abnormalities in functional biological systems, with excessive inflammation, oxidative stress, and gut-brain issues. Mediterranean diet, vitamins/minerals, omega-3 fatty acids, methyl donors, meditation, and exercise are worth considering as adjunctive treatments. More research is needed.
A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis
Authors: Heo JoonNyung , Sung MinDong , Yoon Sangchul , Jang Jinkyu , Lee Wonwoo , Han Deokjae , Kim Hyung-Jun , Kim Han-Kyeol , Han Ji Hyuk , Seog Woong , Ha Beomman , Park Yu Rang
Published: October 2020

Background

Clear guidelines for a patient with suspected COVID-19 infection are unavailable. Many countries rely on assessments through a national hotline or telecommunications, but this only adds to the burden of an already overwhelmed health care system. In this study, we developed an algorithm and a web application to help patients get screened.

Objective

This study aims to aid the general public by developing a web-based application that helps patients decide when to seek medical care during a novel disease outbreak.

Methods

The algorithm was developed via consultations with 6 physicians who directly screened, diagnosed, and/or treated patients with COVID-19. The algorithm mainly focused on when to test a patient in order to allocate limited resources more efficiently. The application was designed to be mobile-friendly and deployed on the web. We collected the application usage pattern data from March 1 to March 27, 2020. We evaluated the association between the usage pattern and the numbers of COVID-19 confirmed, screened, and mortality cases by access location and digital literacy by age group.

Results

The algorithm used epidemiological factors, presence of fever, and other symptoms. In total, 83,460 users accessed the application 105,508 times. Despite the lack of advertisement, almost half of the users accessed the application from outside of Korea. Even though the digital literacy of the 60+ years age group is half of that of individuals in their 50s, the number of users in both groups was similar for our application.

Conclusions

We developed an expert-opinion–based algorithm and web-based application for screening patients. This innovation can be helpful in circumstances where information on a novel disease is insufficient and may facilitate efficient medical resource allocation.
Spanish Version of the System Usability Scale for the Assessment of Electronic Tools: Development and Validation
Authors: Sevilla-Gonzalez Magdalena Del Rocio , Moreno Loaeza Lizbeth , Lazaro-Carrera Laura Sofia , Bourguet Ramirez Brigette , Vázquez Rodríguez Anabel , Peralta-Pedrero María Luisa , Almeda-Valdes Paloma
Published: October 2020

Background

The System Usability Scale (SUS) is a common metric used to assess the usability of a system, and it was initially developed in English. The implementation of electronic systems for clinical counseling (eHealth and mobile health) is increasing worldwide. Therefore, tools are needed to evaluate these applications in the languages and regional contexts in which the electronic tools are developed.

Objective

This study aims to translate, culturally adapt, and validate the original English version of the SUS into a Spanish version.

Methods

The translation process included forward and backward translation. Forward translations were made by 2 native Spanish speakers who spoke English as their second language, and a backward translation was made by a native English speaker. The Spanish SUS questionnaire was validated by 10 experts in mobile app development. The face validity of the questionnaire was tested with 10 mobile phone users, and the reliability testing was conducted among 88 electronic application users.

Results

The content validity index of the new Spanish SUS was good, as indicated by a rating of 0.92 for the relevance of the items. The questionnaire was easy to understand, based on a face validity index of 0.94. The Cronbach α was .812 (95% CI 0.748-0.866; P<.001).

Conclusions

The new Spanish SUS questionnaire is a valid and reliable tool to assess the usability of electronic tools among Spanish-speaking users.
Deployment of a Smart Handwashing Station in a School Setting During the COVID-19 Pandemic: Field Study (Preprint)
Authors: Herbert Jeremy , Horsham Caitlin , Ford Helen , Wall Alexander , Hacker Elke
Published: October 2020

BACKGROUND

Hand hygiene is one of the most effective ways to remove germs, prevent the spread of infectious pathogens, and avoid getting sick. Since the COVID-19 pandemic began, health authorities have been advocating good hand hygiene practices.

OBJECTIVE

The primary aim of this study is to field test a prototype smart handwashing station deployed in a school setting during the COVID-19 pandemic.

METHODS

We deployed a smart handwashing station and examined key technological considerations including connectivity, security, and data management systems, as well as the health and safety of users.

RESULTS

The smart handwashing station was deployed for 10 days in a school setting in Australia during the COVID-19 pandemic. The smart handwashing station’s electrical components remained operational during field testing and underwent robust cleaning protocols each day. The handwashing station was used 1138 times during the field test and there was no COVID-19 transmission at the school during the testing.

CONCLUSIONS

This study demonstrates that a personalized feedback approach using technology can successfully be implemented at a school and can provide a platform to improve hand hygiene among school-aged children.
The Smartphone App haMSter for Tracking Patient-Reported Outcomes in People With Multiple Sclerosis: Protocol for a Pilot Study (Preprint)
Authors: Altmann Patrick , Hinterberger Werner , Leutmezer Fritz , Ponleitner Markus , Monschein Tobias , Zrzavy Tobias , Zulehner Gudrun , Kornek Barbara , Lanzenberger Rupert , Berek Klaus , Rommer Paulus Stefan , Berger Thomas , Bsteh Gabriel
Published: October 2020

BACKGROUND

Treatment and monitoring decisions in people with multiple sclerosis (MS) are based commonly on clinician-reported outcomes. These reflect physical and radiological disease activity and are the most relevant endpoints in clinical trials. Over the past few years, the number of studies evaluating so-called patient-reported outcomes (PROs) has been increasing. PROs are reports from patients concerning their own health perception. They are typically obtained by means of questionnaires and aim to quantify symptoms such as fatigue, depression, and sexual dysfunction. The emergence of PROs has made a tremendous contribution to understanding the individual impact of disease in people with MS and their health-related quality of life. However, the assessment of PROs consumes resources, including time and personnel. Thus, useful ways to conveniently introduce PROs into clinical practice are needed.

OBJECTIVE

We aim to provide a rationale and pilot study protocol for a mobile health (mHealth) solution named “haMSter” that allows for remote monitoring of PROs in people with MS.

METHODS

The core function of haMSter is to provide three scientifically validated PRO questionnaires relevant to MS for patients to fill out at home once a month. Thereby, longitudinal and remote documentation of PROs is enabled. A scoring algorithm graphically plots PRO scores over time and makes them available at the next visit.

RESULTS

The pilot study is currently ongoing and will evaluate adherence to this mHealth solution in 50 patients over a period of 6 months. Results from the haMSter pilot study are expected in 2021.

CONCLUSIONS

haMSter is a novel mHealth-based solution for modern PRO research, which may constitute the first step in achieving the ability to integrate PROs in clinical practice. This allows for a more problem-oriented approach in monitoring visits, which addresses patient needs and ultimately saves time.

CLINICALTRIAL

ClinicalTrials.gov NCT04555863; https://clinicaltrials.gov/ct2/show/NCT04555863

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/25011
Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods (Preprint)
Authors: Cummings Brandon C , Ansari Sardar , Motyka Jonathan R , Wang Guan , Medlin Jr Richard P , Kronick Steven L , Singh Karandeep , Park Pauline K , Napolitano Lena M , Dickson Robert P , Mathis Michael R , Sjoding Michael W , Admon Andrew J , Blank Ross , McSparron Jakob I , Ward Kevin R , Gillies Christopher E
Published: October 2020

BACKGROUND

COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients at an increased risk of deterioration may help hospitals manage their resources while improving the quality of patient care. Here, we present the results of an analytical model, Predicting Intensive Care Transfers and Other Unforeseen Events (PICTURE), to identify patients at high risk for imminent intensive care unit transfer, respiratory failure, or death, with the intention to improve the prediction of deterioration due to COVID-19.

OBJECTIVE

This study aims to validate the PICTURE model’s ability to predict unexpected deterioration in general ward and COVID-19 patients, and to compare its performance with the Epic Deterioration Index (EDI), an existing model that has recently been assessed for use in patients with COVID-19.

METHODS

The PICTURE model was trained and validated on a cohort of hospitalized non–COVID-19 patients using electronic health record data from 2014 to 2018. It was then applied to two holdout test sets: non–COVID-19 patients from 2019 and patients testing positive for COVID-19 in 2020. PICTURE results were aligned to EDI and NEWS scores for head-to-head comparison via area under the receiver operating characteristic curve (AUROC) and area under the precision-recall curve. We compared the models’ ability to predict an adverse event (defined as intensive care unit transfer, mechanical ventilation use, or death). Shapley values were used to provide explanations for PICTURE predictions.

RESULTS

In non–COVID-19 general ward patients, PICTURE achieved an AUROC of 0.819 (95% CI 0.805-0.834) per observation, compared to the EDI’s AUROC of 0.763 (95% CI 0.746-0.781; n=21,740; P<.001). In patients testing positive for COVID-19, PICTURE again outperformed the EDI with an AUROC of 0.849 (95% CI 0.820-0.878) compared to the EDI’s AUROC of 0.803 (95% CI 0.772-0.838; n=607; P<.001). The most important variables influencing PICTURE predictions in the COVID-19 cohort were a rapid respiratory rate, a high level of oxygen support, low oxygen saturation, and impaired mental status (Glasgow Coma Scale).

CONCLUSIONS

The PICTURE model is more accurate in predicting adverse patient outcomes for both general ward patients and COVID-19 positive patients in our cohorts compared to the EDI. The ability to consistently anticipate these events may be especially valuable when considering potential incipient waves of COVID-19 infections. The generalizability of the model will require testing in other health care systems for validation.
THE RELATIONSHIP BETWEEN GDF-9 AND BMP-15 SERUM AND FOLLICULAR FLUID AND THE QUALITY OF OOCYTES IN WOMEN WHO UNDERGO AN IVF CYCLE
Authors: ARIFIN ZAINAL , SUMAPRADJA KANADI , ANGGRAENI UPIK , MUNA NAYLAH , WIWEKO BUDI
Published: October 2020

Objective: The quality of the embryo is greatly influenced by the quality of the oocytes; oocyte-secreted factors (OSFs), which include GDF-9 and BMP-15, play an important role in folliculogenesis. This study was to determine the relationship between GDF-9 and BMP-15 serum within the follicular fluid in order to predict the quality of oocytes in women undergoing In vitro Fertilization (IVF).

Methods: We collected 30 samples of blood serum and 30 samples of follicular fluid on the day of ovum pickup (OPU), and examined GDF-9 and BMP-15 using ELISA kits. Analysis by Pearson and a partial-correlation was conducted to analyze the correlation between the concentration of GDF-9 and BMP-15 in serum and follicular fluid with general physiological parameters, such as maturation and fertilization rates.

Results: The mean age of the subjects was 35,0(26,0-39,0) years. There was no statistical correlation between GDF-9 serum and follicular fluid (p=0.245); but there was a correlation between BMP-15 serum and follicular fluid (p=0.001). Average level of GDF-9 in the follicular fluid was 163,0 pg/ml (48,0-537), and average level in the serum was 260.33 pg/ml±121,82; average levels of BMP-15 in the follicular fluid was 58.30pg/ml±31,54 and average levels of BMP-15 in the serum was 74.20 pg/ml (1,0–610).

Conclusion: There were no correlations between levels of GDF-9 serum-FF and BMP-15-FF, and maturation rates and fertilization rates. There was a negative correlation between BMP-15 serum and maturation rates.