bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Physical Education Teaching Quality Based on the Random Multivariate Matrix Convolution Neural Network Model
Authors: Zhang Zhigang
Published: August 2022

With the non-stop merchandising and improvement of bodily training instructing reform, the institution of a couple of getting to know the assessment and evaluation mannequin of bodily training different educating impact can stimulate the enthusiasm and activity in sports activities and learning, which is useful to domesticate students’ cognizance of lifelong bodily exercise. In the educating process, through the integration technique of varied instructing methods, this paper explores the issues present in the method of bodily training reform, places ahead a diverse bodily training instructing impact assessment mannequin that meets the wants of customized intelligence education and construction, and makes use of the technique of empirical evaluation to affirm the comparison model. In order to reflect the effect of physical training effectively and accurately, a convolution neural neighbourhood model based totally completely on the random multivariate matrix is proposed to reflect on consideration on the excellent of bodily education. The overall performance of the prediction accuracy assessment mannequin is evaluated via the simulation test and in contrast with the standard approach model. The experimental information is that the average assessment accuracy of the single convolution neural community mannequin is 82.15%, whilst the common comparison accuracy of the convolution neural community mannequin based totally on the random multivariate matrix is 97.58%, and the prediction accuracy is increased by means of 15.43%. The common prediction error of the single convolution neural community mannequin is 0.97, and the common error is 0.91, the common error is decreased by using 0.05. It shows that the random multivariate matrix convolution neural neighbourhood model can efficaciously realize the evaluation of instructing quality.
DCNN-FuzzyWOA: Artificial Intelligence Solution for Automatic Detection of COVID-19 Using X-Ray Images
Authors: Saffari Abbas , Khishe Mohammad , Mohammadi Mokhtar , Hussein Mohammed Adil , Rashidi Shima
Published: August 2022

Artificial intelligence (AI) techniques have been considered effective technologies in diagnosing and breaking the transmission chain of COVID-19 disease. Recent research uses the deep convolution neural network (DCNN) as the discoverer or classifier of COVID-19 X-ray images. The most challenging part of neural networks is the subject of their training. Descent-based (GDB) algorithms have long been used to train fullymconnected layer (FCL) at DCNN. Despite the ability of GDBs to run and converge quickly in some applications, their disadvantage is the manual adjustment of many parameters. Therefore, it is not easy to parallelize them with graphics processing units (GPUs). Therefore, in this paper, the whale optimization algorithm (WOA) evolved by a fuzzy system called FuzzyWOA is proposed for DCNN training. With accurate and appropriate tuning of WOA’s control parameters, the fuzzy system defines the boundary between the exploration and extraction phases in the search space. It causes the development and upgrade of WOA. To evaluate the performance and capability of the proposed DCNN-FuzzyWOA model, a publicly available database called COVID-Xray-5k is used. DCNN-PSO, DCNN-GA, and LeNet-5 benchmark models are used for fair comparisons. Comparative parameters include accuracy, processing time, standard deviation (STD), curves of ROC and precision-recall, and F1-Score. The results showed that the FuzzyWOA training algorithm with 20 epochs was able to achieve 100% accuracy, at a processing time of 880.44 s with an F1-Score equal to 100%. Structurally, the i-6c-2s-12c-2s model achieved better results than the i-8c-2s-16c-2s model. However, the results of using FuzzyWOA for both models have been very encouraging compared to particle swarm optimization, genetic algorithm, and LeNet-5 methods.
The Impact of Multimedia Video Marketing on Consumer Psychology and Behavior
Authors: Han Yujia , Kim Hyung-gon , Lan Tian
Published: August 2022

The in-depth development of the multimedia era has caused network video marketing to gradually penetrate into social production and daily life, and the network self-media platform has also played its own advantageous hand and established links in the creation of a new network video marketing model, highlighting the important role of the network self-media platform. To this end, this article analyzes the current situation of video marketing in the multimedia era and combines a variety of marketing tools such as trends, implantation, and emotions to optimize the transformation in promotion by analyzing new marketing strategies while promoting sustainable development of enterprises. On this basis, this article explores and analyzes the impact of video marketing on consumer psychology and behavior in the multimedia era.
Fuzzy Theory in the Prediction of Athletes' Competitive State Based on Information Security
Authors: Song Jian , Zhong Junpei
Published: August 2022

In today’s highly competitive market, a large number of high-tech products have been used by the athletesin various academic competitions. At present, a large number of athletes have used their own rigorous theories to predict the effects of modern games. In this study, the fuzzy theory calculation method based on information security is used to install related detection equipment on athletes. Through long-term data collection, the data is input into the computing system. After analysis, we can get the athlete’s body cycle, 6 days is a short cycle, 28 days is a medium cycle, and 128 days is a long cycle. Through the adjustment of training items and training time, the athlete’s competitive state can be adjusted to achieve good results in the competition. This article also tested and experimentally studied the differences in the emotions and mental states of the athletes in coping with the competition, and tested the mental states of the two groups of athletes before the start of the competition. The results showed that the data for active response, balanced response, and negative response were 36%, 32%, and 32%, respectively. Under the coach’s guidance and persuasion, the data on athletes’ coping styles from negative to positive has been significantly improved, reaching 67%. The experiments of this research prove that through the use of fuzzy theory based on information security and related high-tech equipment, it is possible to effectively predict and adjust the athlete’s competitive state. Before the arrival of important events, adjust the training intensity from the 6-day and 28-day cycles to make the athletes’ competitive state reach the expected excellent condition.
Structural Design of Handicrafts Based on Dynamic Simulation Technology
Authors: Meng Kun , Liu Fulong
Published: August 2022

In order to improve the effect of handicraft structure design, this study combines the dynamic simulation technology to build a handicraft structure design system and transmits data through dynamic simulation signals to improve the effectiveness of the interactive design of artworks. In order to provide a simpler and faster development process for interactive media applications, this study develops an interactive media art design system with a node-based visual programming model as the core processing logic. The digital Gaussian shaping method based on the programmable logic device can not only realize real-time Gaussian shaping of the nuclear pulse signal but also meet the needs of later function expansion, maintenance, and upgrade of the system. In addition, this study verifies the effectiveness of the handicraft structure design system based on dynamic simulation technology through the analysis of multiple sets of simulation data.
GC-CNNnet: Diagnosis of Alzheimer’s Disease with PET Images Using Genetic and Convolutional Neural Network
Authors: Amini Morteza , Pedram Mir Mohsen , Moradi AliReza , Jamshidi Mahdieh , Ouchani Mahshad
Published: August 2022

There is a wide variety of effects of Alzheimer’s disease (AD), a neurodegenerative disease that can lead to cognitive decline, deterioration of daily life, and behavioral and psychological changes. A polymorphism of the ApoE gene ε 4 is considered a genetic risk factor for Alzheimer’s disease. The purpose of this paper is to demonstrate that single-nucleotide polymorphic markers (SNPs) have a causal relationship with quantitative PET imaging traits. Additionally, the classification of AD is based on the frequency of brain tissue variations in PET images using a combination of k-nearest-neighbor (KNN), support vector machine (SVM), linear discrimination analysis (LDA), and convolutional neural network (CNN) techniques. According to the results, the suggested SNPs appear to be associated with quantitative traits more strongly than the SNPs in the ApoE genes. Regarding the classification result, the highest accuracy is obtained by the CNN with 91.1%. These results indicate that the KNN and CNN methods are beneficial in diagnosing AD. Nevertheless, the LDA and SVM are demonstrated with a lower level of accuracy.
Construction of Model to Enhance College Students’ Core Competitiveness from Perspective of Employment Competition through IoT Apps
Authors: Zhou Fawei
Published: August 2022

The lack of college students’ core competitive advantage in employment is the main reason for the difficulty of college students’ employment. Therefore, in the perspective of employment competition, the paper designs the method of building the model to improve college students’ core competitiveness.
Forming Parameters on Friction during Single Point Incremental Forming
Authors: Xu Qing , Yao Zimeng
Published: August 2022

Friction in the single point incremental forming (SPIF) process is the main factor affecting the surface quality and forming performance of the workpiece. In order to study the effect of process parameters on friction in SPIF, the contact area between the forming tool and the metal sheet was taken as the analysis object according to the principle of SPIF and the characteristics of friction in the forming process. The force status was analytically expressed under the condition of considering friction, and a correlation expression between the forming force and the friction coefficient was given. On this basis, the friction coefficient values under different process parameters were calculated through experimental force measurement, and the accuracy and validity of the obtained friction coefficient were verified by finite element simulation. Finally, the influence of the forming parameters on the friction coefficient and the prediction model of the friction coefficient were analyzed using the surface response method. The research results revealed that the increase of tool diameter or spindle speed helped to reduce the friction coefficient between the contact surfaces, while the increase of layer feed, feed rate, or forming angle increased the friction coefficient to different degrees. The results obtained in this work may provide a reference in theory and technology for improving the surface quality and formability of parts.
Comparisons of the Sombor Index of Alkane, Alkyl, and Annulene Series with Their Molecular Mass
Authors: Mohammadi Maryam , Barzegar Hasan , Ashrafi Ali Reza
Published: August 2022

Suppose G is an undirected simple graph. A topological index for G is a number with this property that it is invariant under all graph isomorphisms with applications in chemistry. The Sombor and reduced Sombor indices of G are defined as

S
O

G

 
=
 

∑

u
v
 
∈
E

G

d
G
2

u

+

d
G
2

v

and

S

O

red

G

=

∑

u
v
 
∈
E

G

d

G

u

−
1

2

+

d

G

v

−
1

2

 

, respectively. Here,

d

G

u

denotes the degree of the vertex u in

G

. In this paper, these invariants were computed for alkanes, alkyls, and annulenes. A comparison of our calculations with molecular mass is also presented. As a consequence, it is shown that there is a good correlation between Sombor index and molecular mass of these compounds.
Application of Improved
K
-Means Clustering Algorithm in Targeted Practice of College Volleyball Fitness Training Classification
Authors: Feng Maodi
Published: August 2022

The high-level men’s volleyball team in ordinary colleges and universities is an important place for the country to cultivate outstanding volleyball reserve talents. Especially under the background of “integration of sports and education,” the status of high-level men’s volleyball teams in ordinary colleges and universities in my country’s volleyball career has been further improved. In affirmation and attention, routine training is an important part of the work of high-level men’s volleyball teams in ordinary colleges and universities. Cultivating high-level and high-quality outstanding volleyball reserve talents is an important goal of high-level men’s volleyball teams in ordinary colleges and universities. The growth of high-level men’s volleyball players requires high quality. For training support, in order to improve the training quality of the men’s volleyball team at the general college level, it is necessary to evaluate the training quality of the existing high-level sports teams. In order to achieve “different from person to person” and “teaching according to aptitude” college students’ volleyball training behavior prediction and guidance content recommendation, and to achieve a classification promotion strategy, this research uses the

K

-means clustering algorithm and PCA-GS-SVM algorithm to train college students’ volleyball training, adhering to behavior. The data classifier has high training efficiency, and the accuracy rate is higher than 87% in both the training set and the test set, which can meet the application requirements of college students’ volleyball training adhere to the classification and promotion strategy of behavior information platform and effectively support the practical application of the model. The volleyball training adherence behaviors are divided into eight categories, and specific classification promotion strategies are formulated according to the characteristics of different categories of behaviors.
Perivascular Adipose Tissue Anticontractile Function Is Mediated by Both Endothelial and Neuronal Nitric Oxide Synthase Isoforms
Authors: Saxton Sophie N. , Withers Sarah B. , Heagerty Anthony M.
Published: August 2022

Background: The mechanism of the perivascular adipose tissue (PVAT) anticontractile effect is well characterized in rodent visceral vascular beds; however, little is known about the mechanism of PVAT anticontractile function in subcutaneous vessels. In addition, we have previously shown that PVAT anticontractile function is nitric oxide synthase (NOS) dependent but have not investigated the roles of NOS isoforms. Objective: Here, we examined PVAT anticontractile function in the mouse gracilis artery, a subcutaneous fat depot, in lean control and obese mice and investigated the mechanism in comparison to a visceral depot. Method: Using the wire myograph, we generated responses to noradrenaline and electrical field stimulation in the presence of pharmacological tools targeting components of the known PVAT anticontractile mechanism. In addition, we performed ex vivo “fat transplants” in the organ bath. Results: The mechanism of PVAT anticontractile function is similar between subcutaneous and visceral PVAT depots. Both endothelial and neuronal NOS isoforms mediated the PVAT anticontractile effect. Loss of PVAT anticontractile function in obesity is independent of impaired vasoreactivity, and function can be restored in visceral PVAT by NOS activation. Conclusions: Targeting NOS isoforms may be useful in restoring PVAT anticontractile function in obesity, ameliorating increased vascular tone, and disease.
An accurate dynamical model of induction generator utilized in wind energy systems
Authors: Abdullah Nasir Bilal
Published: August 2022

Due to the advantages of a self-excited induction generator (SEIG), it plays a main role in sources of renewable energy, such as wind turbines (WT). The regulation of terminal voltage and frequency is poor under variable rotor speed and load conditions at stand-alone operation mode. The generator terminal voltage depends on the excitation capacitance which can be controlled by a capacitor bank and static voltage compensator. The dynamical model of the machine is described by differential equations in D-Q axes transformations of the synchronously rotating frame. Many models of analysis are proposed in the literature. In those models, several approximations are used to simplify the process of calculations, such as neglecting the iron core resistance, stray load resistance, stator and rotor leakage reactance, and magnetic saturation. In this work, a comprehensive dynamic model of the SEIG-WT is performed to analyze the system performance under transient and steady-state conditions. This dynamic model considers the effect of all machine parameters variation. New analytical formulas are used for to accurate calculation of minimum and maximum values of excitation capacitance and generator rotor cut-off and maximum speed. The dynamic model results are partially compared with experimental results, and accurate agreement is shown.
Enhancement of the lighting quality for white light-emitting diodes with CaSc2O4:Ce3+ phosphor
Authors: Dang Huu Phuc , Ton That Phung , Xuan Le Phan , Le Thai Nguyen
Published: August 2022

For the task of realizing greater progress for the light output in white light-emitting diodes (WLEDs), this study focuses on the luminescence temperature subordination feature of CaSc2O4:Ce3+ phosphor (abbreviated to CaS for this study). Some other aspects of the phosphor were also included in this piece of paper: Huang-Rhys coupling factor, Stokes shift, triggering power, abatement temperature and especially, abatement behavior in CaSc2O4:Ce3+. Creating the bluish-green LEDs by the combination of blue InGaN chip and CaSc2O4:Ce3+ is the primary purpose. CaSc2O4:Ce3+ appears to be a decent green phosphor that can be used in WLEDs made of blue InGaN chip. Production tasks may be based on our investigation for the task of making desirable WLED devices that meet the production demands.
Developing mobile game application for introduction to financial accounting
Authors: Ariff Mohamed Imran Mohamed , Khalil Fuad Mohd , Rahman Rahayu Abdul , Masrom Suraya , Arshad Noreen Izza
Published: August 2022

The financial accounting subject is one of the core subjects that is essential for any accounting student. However, this subject is perceived as boring and difficult to comprehend particularly for students who lack in the accounting knowledge. The aim of this research paper is to present the adoption of the gamification learning concept in designing and developing a mobile game application to cultivate better understanding in the financial accounting subject. This mobile application was developed for Android operating system and was designed using the modified game methodology. Further, this mobile application was subjected to several testing phases using numerous participants. The results indicate the adoption of gamification has aided the students in understanding the financial accounting subject. Furthermore, the participants also indicated that learning using gamification has encouraged them to think critically which then allowed them to better comprehend the financial accounting subject. The development of this mobile game application also contributes to the gamification literature which is vastly used in learning, and it advantages in improving the understanding of how games can be adopted to foster better understanding in the financial accounting subject.
Apresentação do dossiê III jornada de ética e filosofia política: os fins da política
Authors: Souza Maria das Graças de
Published: August 2022

Apresentação do dossiê III Jornada de Ética e Filosofia Política: os fins da política, por Maria das Graças de Souza
O trabalho para a vida e a vida para o trabalho: uma confluência entre Nietzsche e Foucault acerca do homem moderno
Authors: Leal Guilherme de Freitas
Published: August 2022

O principal objetivo deste artigo é o de compreender alguns aspectos fundamentais ao modo de pensar e fazer política tal como se desenvolveu a partir da modernidade tendo como referência principal a contraposição entre pequena política e grande política a partir da obra de Friedrich Nietzsche em relação com a concepção de biopolítica pelos ditos e escritos de Michel Foucault. Mais especificamente, a presente abordagem constituir-se-á a partir da relevância dada ao trabalho na construção das sociedades modernas dentro da avaliação feita pelo filósofo alemão e pelo pensador francês supracitados. Nos termos de Nietzsche, uma cultura que não valoriza o espírito, mas que é elaborada por “escravos” modernos, tendo em vista justamente a centralidade do trabalho na construção da vida social bem como da política, mais acentuadamente a partir do século XIX. Pelas ideias de Foucault, indivíduos constantemente disciplinados e regulados através do trabalho como aspecto fundamental da governamentalidade moderna a fim de promover o biogoverno de vidas úteis e ao mesmo tempo dóceis. Trazendo, ademais, o papel da formação, isto é, aquilo que se põe como objetivo à educação nos dois autores a fim de clarear as características principais da sociedade moderna. Notando, desse modo, a relação entre Nietzsche e Foucault quanto ao apontamento de que a formação educacional que se desenvolve desde o capitalismo industrial busca estruturar o sujeito a fim de que se torne trabalhador, isto é, no intuito de integrá-lo ao sistema de produção-consumo para deles exaurir o máximo de contribuição à manutenção do modelo já estabelecido.
Arbítrio e os fins da política: reflexões à luz do republicanismo de Philip Pettit
Authors: Sousa Rodrigo Ribeiro de
Published: August 2022

Situando-se entre a liberdade positiva, de fundamento aristotélico, e a liberdade como ausência de impedimentos, que remonta à tradição liberal, o ideal de não-dominação, a partir do qual Philip Pettit estrutura o seu conceito de liberdade, empreende uma recuperação de elementos de diferentes matrizes do pensamento republicano, em especial a noção de não-arbitrariedade. Partindo da teoria política estruturada por Pettit e de seu diálogo com autores da tradição liberal, o propósito do presente artigo é o de apresentar elementos que permitam investigar a existência de conexões, nas democracias contemporâneas, entre a crescente limitação do espaço público e a instauração de práticas e governos arbitrários, que resultam na total negação do ideal republicano de liberdade
Foucault, regimes de verdade e a construção do sujeito, de Daniele Lorenzini
Authors: Beccari Marcos Namba
Published: August 2022

Neste texto, Daniele Lorenzini explora a rica e complexa articulação entre dois dos principais projetos que caracterizam o trabalho de Michel Foucault nas décadas de 1970 e 1980: por um lado, o projeto de uma história da verdade e, por outro, o projeto de uma genealogia do sujeito moderno (ocidental). Nesta perspectiva, o ano de 1980 deve ser considerado um ponto de virada crucial, porque é nesse ano — no curso Do governo dos vivos (dado no Collège de France), bem como na conferência About the Beginning of the Hermeneutics of the Self (proferida na Universidade da Califórnia, na Universidade de Berkeley e no Dartmouth College) — que, de maneira original, Foucault conecta e articula explicitamente esses dois projetos.
O fim da política ou a política como fim? Uma interpretação a partir do estoicismo
Authors: Bueno Taynam Santos Luz
Published: August 2022

Pretende-se, neste texto, pensar o estatuto da ação política sob a ótica do estoicismo. Para tanto, alguns conceitos imprescindíveis para a compreensão da ética estoica serão abordados, tais como sua concepção de virtude, os conceitos de telós, skopós, indiferente, dentre outros.
O conceito de democracia e experiência política da antiga Atenas
Authors: Ramos Silvana de Souza
Published: August 2022

O artigo pretende discutir as definições de democracia e de política e confrontá-las com os estudos acerca da experiência de regime livre vivida na Atenas antiga. Trata-se de enfrentar uma série de impasses que residem nessas definições para conduzir o leitor a uma reflexão sobre o sentido da experiência democrática.
Soberano e estado de exceção: ressalvas a Agamben
Authors: Barros Alberto Ribeiro Gonçalves de
Published: August 2022

Este artigo discute a interpretação de Giorgio Agamben sobre a posição paradoxal do soberano, que estaria, ao mesmo tempo, dentro e fora do ordenamento jurídico. Pretende mostrar que esta interpretação, pelo menos na forma em que é enunciada, por meio do conceito de estado de exceção de Carl Schmitt, não se sustenta. Agamben enfraquece o teor jurídico do pensamento de Schmitt em favor de uma teoria da exceção e faz uma projeção indevida da situação paradoxal do estado de exceção para o soberano.
O si mesmo e o outro: a noção de identidade na antropologia de Rousseau
Authors: Barros Leonardo Canuto de
Published: August 2022

Trata-se de verter da obra de Jean-Jacques Rousseau um possível sentido para o uso do termo identité, sentido que tenha ao mesmo tempo correspondência com o mundo natural e o social, formando uma unidade sintética sem que nenhuma dessas instâncias seja negligenciada. Destacaremos também a importância que a dimensão do outro adquire na constituição dessa identidade. Para tanto, recorreremos sobretudo ao segundo Discurso.
A cultura na agenda da CELAC a partir de uma perspectiva teórica descolonizadora
Authors: Silva Carolina Albuquerque
Published: August 2022

O artigo consiste em uma reflexão sobre o regionalismo pós-liberal ou pós-hegemônico surgido na América do Sul no começo do século XXI, com foco na agenda cultural da Comunidade dos Estados Latino-Americanos e Caribenhos (CELAC), e tem por objetivo contribuir para o enriquecimento da análise das dimensões socioculturais da integração a partir da abordagem da geopolítica crítica, proposta por Jaime Preciado. O debate destaca o eurocentrismo que caracteriza o campo de estudos da integração e sua relação com a geopolítica do conhecimento. Enreda-se, desse modo, na questão das condições para pensar o mundo desde a América Latina, a partir de autores da região que se dedicam à produção de conhecimento em torno a temas prioritários e problemas cognitivos próprios. Construída a partir de revisão da literatura especializada e de pesquisa documental junto ao acervo da CELAC, a análise realizada indica que, para superar a reprodução da lógica da colonialidade nos projetos regionais da América Latina e Caribe, é necessário considerar, no debate teórico e na construção prática, os eixos epistemológico e cultural.
Memórias da escuridão: caminhos da mineração de um Schindler na Bolívia
Authors: Sobreira Ana Carla Barros
Published: August 2022

Este artigo busca retratar através de intersecções entre narrativas escritas e imagens fotográficas, a atuação de Mauricio Hochschild - um dos barões da mineração na Bolívia - na proteção de judeus exilados e fugitivos dos horrores do nazismo alemão, entre os anos de 1938 e 1939. O museu, como espaço de construção de memórias, se constituiu como fonte para a escrita deste artigo. Tendo como embasamento teórico os pensamentos de autores como Silveira; Filho (2005), Bosi (1987;1994), Didi-Huberman (2010), Pollak (1992), Palma (2015) entre outros, nos propusemos a tecer diálogos objetivando construir novos sentidos a uma história vivida, entre tantas outras, em espaços de completa escuridão.
A cultura no MERCOSUL: análise dos desdobramentos das cúpulas sociais nas reuniões de Ministros da Cultura (2006-2015)
Authors: Ortiz Maria Camila Osorio , Dulci Tereza Maria Spyer , Urruth Yaskara Weit
Published: August 2022

O presente artigo tem como objetivo analisar como as propostas formuladas no âmbito das Cúpulas Sociais do MERCOSUL (CSM) para a área da cultura foram incorporadas pelas Reuniões de Ministros da Cultura (RMC). Para tal, identificamos primeiramente as propostas sobre cultura nas CSM entre 2006 e 2015. Em seguida, analisamos como as propostas resultantes das CSM para a área da cultura foram abordadas pelas RMC no mesmo período, buscando identificar projetos e ações estabelecidos a partir de tais demandas e estudar seus desdobramentos. Entre os resultados, o estudo conclui que, apesar das CSM se apresentarem como um importante espaço de participação social, há a necessidade de que existam modos mais efetivos de difusão das propostas aos órgãos do MERCOSUL, além de a tomada de decisões não ficar exclusivamente na intergovernamentalidade, pois isso dificulta a institucionalização.
La banda sonora del conflicto en Colombia: reconstruyendo la historia a partir de la música de sus juventudes
Authors: Bohórquez Andrea del Pilar Lozano
Published: August 2022

El presente artículo es una reconstrucción de la historia política -y conflictiva- de Colombia a partir de la música de sus juventudes. Así, apoyados en una revisión bibliográfica sobre historia y diferentes movimientos musicales, hacemos un recorrido que inicia en los años 40 con la música campesina durante La Violencia bipartidista, y terminamos en el año 2021 con la explosión de ritmos que se escucharon en las calles durante las manifestaciones del Paro Nacional. En suma, lo que se pretende es revalorar el papel de la música no solo como manifestación cultural, sino como forma de lucha, y todavía más, su importancia como fuente histórica.
Prevalência de sarcopenia em pacientes com doença de Alzheimer
Authors: Antoniassi Paola Christina , Froehner Nicole Sophia , Maçan Milena Laís , Nakakogue Lindsey Mitie
Published: August 2022

Objetivo: Demonstrar a associação entre doença de Alzheimer (DA) e o desenvolvimento de sarcopenia nos pacientes que foram diagnosticados com DA no ano de 2018 na Policlínica de Londrina. Método: Estudo de coorte retrospectivo com um número de 36 pacientes, os quais foram entrevistados presencialmente em 2019, quando realizaram o Mini-Exame do Estado Mental (MEEM); Atividades Básicas de Vida Diária (ABVD); SARC-F; IMC; medida da circunferência da panturrilha (CP); e, para aqueles suspeitos de sarcopenia, foram avaliados a medida de força de preensão palmar e o Timed Get Up and Go (Teste do sentar e levantar). Os resultados obtidos foram comparados aos de 2018 (ano do diagnóstico de DA). Resultados: Os pacientes diagnosticados com Doença de Alzheimer no ano de 2018 apresentaram um aumento na dependência para realização das ABVD (p = 0,049), uma diminuição do MEEM (p = 0,011), do IMC (p = 0,027) e do CP na avaliação de 2019, em relação ao ano anterior. Conclusão: A prevalência de sarcopenia em pacientes com DA foi de 34% após um ano de evolução da doença, ocasionando uma redução da qualidade de vida e aumento da necessidade de um cuidador para tarefas diárias simples.
Arterial Stiffness and Diabetes Risk in Framingham Heart Study and UK Biobank
Authors: Cohen Jordana B. , Mitchell Gary F. , Gill Dipender , Burgess Stephen , Rahman Mahboob , Hanff Thomas C. , Ramachandran Vasan S. , Mutalik Karen M. , Townsend Raymond R. , Chirinos Julio A.
Published: August 2022

Background:

Microvascular damage from large artery stiffness (LAS) in pancreatic, hepatic, and skeletal muscles may affect glucose homeostasis. Our goal was to evaluate the association between LAS and the risk of type 2 diabetes using prospectively collected, carefully phenotyped measurements of LAS as well as Mendelian randomization analyses.

Methods:

Carotid-femoral pulse wave velocity (CF-PWV) and brachial and central pulse pressure were measured in 5676 participants of the FHS (Framingham Heart Study) without diabetes. We used Cox proportional hazards regression to evaluate the association of CF-PWV and pulse pressure with incident diabetes. We subsequently performed 2-sample Mendelian randomization analyses evaluating the associations of genetically predicted brachial pulse pressure with type 2 diabetes in the UKBB (United Kingdom Biobank).

Results:

In FHS, individuals with higher CF-PWV were older, more often male, and had higher body mass index and mean arterial pressure compared to those with lower CF-PWV. After a median follow-up of 7 years, CF-PWV and central pulse pressure were associated with an increased risk of new-onset diabetes (per SD increase, multivariable-adjusted CF-PWV hazard ratio, 1.36 [95% CI, 1.03–1.76];
P
=0.030; central pulse pressure multivariable-adjusted CF-PWV hazard ratio, 1.26 [95% CI, 1.08–1.48];
P
=0.004). In United Kingdom Biobank, genetically predicted brachial pulse pressure was associated with type 2 diabetes, independent of mean arterial pressure (adjusted odds ratio, 1.16 [95% CI, 1.00–1.35];
P
=0.049).

Conclusions:

Using prospective cohort data coupled with Mendelian randomization analyses, we found evidence supporting that greater LAS is associated with increased risk of developing diabetes. LAS may play an important role in glucose homeostasis and may serve as a useful marker of future diabetes risk.
Uric Acid and Hypertension: a Review of Evidence and Future Perspectives for the Management of Cardiovascular Risk
Authors: Borghi Claudio , Agnoletti Davide , Cicero Arrigo Francesco Giuseppe , Lurbe Empar , Virdis Agostino
Published: August 2022

Uric acid is the final product of purine metabolism, and its increased serum levels have been directly involved in the pathogenesis and natural history of hypertension. The relationship between elevated uric acid and hypertension has been proven in both animals and humans, and its relevance is already evident in childhood and adolescent population. The mechanism responsible for blood pressure increase in hyperuricemic subjects is implicating both oxidative stress and intracellular urate activity with a primary involvement of XOR (xanthine-oxidoreductase activity). An increase in the relative risk of hypertension has been confirmed by genetic data and by large meta-analyses of epidemiological data. The effects of urate-lowering treatment on blood pressure control in patients with elevated serum uric acid has been investigated in a small number of reliable studies with a large heterogeneity of patient populations and study designs. However, 2 large meta-analyses suggest a significant effect of urate-lowering treatment on blood pressure, thus confirming the significant relationship between high serum urate and blood pressure. The future research should be focused on a more appropriate identification of patients with cardiovascular hyperuricemia by considering the correct cardiovascular threshold of serum urate, the time-course of uricemia fluctuations, and the identification of reliable markers of urate overproduction that could significantly clarify the clinical and therapeutic implications of the interaction between serum uric acid and hypertension.
Association of Nap Frequency With Hypertension or Ischemic Stroke Supported by Prospective Cohort Data and Mendelian Randomization in Predominantly Middle-Aged European Subjects
Authors: Yang Min-jing , Zhang Zhong , Wang Yi-jing , Li Jin-chen , Guo Qu-lian , Chen Xiang , Wang E.
Published: August 2022

Background and Purpose:

The aim of this study was to investigate the association between daytime napping frequency and the incidence of essential hypertension or stroke as well as to validate causality in this relationship via Mendelian randomization (MR).

Methods:

We conducted Cox regression analysis on 358 451 participants free of hypertension or stroke from UK Biobank. To validate the results of the observational analysis, we conducted a 2-sample MR for daytime napping frequency (123 single-nucleotide polymorphisms) with essential hypertension in FinnGen Biobank, stroke, and ischemic stroke in MEGASTROKE consortium and performed a corresponding 1-sample MR on the UK Biobank data.

Results:

Compared with never napping, usually napping was associated with a higher risk of essential hypertension (hazard ratio, 1.12 [95% CI, 1.08–1.17]), stroke (hazard ratio, 1.24 [95% CI, 1.10–1.39], and ischemic stroke (hazard ratio, 1.20 [95% CI, 1.05–1.36]) in our prospective observational analysis. Both the 1-sample and 2-sample MR results indicated that increased daytime napping frequency was likely to be a potential causal risk factor for essential hypertension in FinnGEN (odds ratio, 1.43 [95% CI, 1.06–1.92]) and UK Biobank (odds ratio, 1.40 [95% CI, 1.28–1.58]). The 2-sample MR results supported the potential causal effect of nap frequency on ischemic stroke in MEGASTROKE (odds ratio, 1.29 [95% CI, 1.04–1.62]).

Conclusions:

Prospective observational and MR analyses provided evidence that increased daytime nap frequency may represent a potential causal risk factor for essential hypertension. The potential causal association of increased nap frequency with ischemic stroke was supported by 2-sample MR and prospective observational results.
Blood Pressure Control Among US Adults, 2009 to 2012 Through 2017 to 2020
Authors: Muntner Paul , Miles Miriam A. , Jaeger Byron C. , Hannon III Lonnie , Hardy Shakia T. , Ostchega Yechiam , Wozniak Gregory , Schwartz Joseph E.
Published: August 2022

Background:

The National Health and Nutrition Examination Survey data indicate that the proportion of US adults with hypertension that had controlled blood pressure (BP) declined from 2013 to 2014 through 2017 to 2018. We analyzed data from National Health and Nutrition Examination Survey 2009 to 2012, 2013 to 2016, and 2017 to 2020 to confirm this finding.

Methods:

Hypertension was defined as systolic BP ≥140 mm Hg or diastolic BP ≥90 mm Hg or antihypertensive medication use. BP control among those with hypertension was defined as systolic BP <140 mm Hg and diastolic BP <90 mm Hg.

Results:

The age-adjusted prevalence of hypertension was 31.5% (95% CI, 30.3%–32.8%), 32.0% (95% CI, 30.6%–33.3%), and 32.9% (95% CI, 31.0%–34.7%) in 2009 to 2012, 2013 to 2016, and 2017 to 2020, respectively (
P
trend=0.218). The age-adjusted prevalence of hypertension increased among non-Hispanic Asian adults from 27.0% in 2011 to 2012 to 33.5% in 2017 to 2020 (
P
trend=0.003). Among Hispanic adults, the age-adjusted prevalence of hypertension increased from 29.4% in 2009 to 2012 to 33.2% in 2017 to 2020 (
P
trend=0.029). In 2009 to 2012, 2013 to 2016, and 2017 to 2020, 52.8% (95% CI, 50.0%–55.7%), 51.3% (95% CI, 47.9%–54.6%), and 48.2% (95% CI, 45.7%–50.8%) of US adults with hypertension had controlled BP (
P
trend=0.034). Among US adults taking antihypertensive medication, 69.9% (95% CI, 67.8%–72.0%), 69.3% (95% CI, 66.6%–71.9%), and 67.7% (95% CI, 65.2%–70.3%) had controlled BP in 2009 to 2012, 2013 to 2016, and 2017 to 2020, respectively (
P
trend=0.189). Among all US adults with hypertension and those taking antihypertensive medication, a decline in BP control between 2009 to 2012 and 2017 to 2020 occurred among those ≥75 years, women, and non-Hispanic black adults.

Conclusions:

These data confirm that the proportion of US adults with hypertension who have controlled BP has declined.
Voluntary Exercise Eliminates Maternal Gestational Hypertension–Induced Hypertensive Response Sensitization to Postweaning High-Fat Diet in Male Adult Offspring
Authors: Xue Baojian , Yu Yang , Beltz Terry G. , Guo Fang , Wei Shun-Guang , Johnson Alan Kim
Published: August 2022

Background:

Exercise has profound effects on cardiovascular function and metabolism in both physiological and pathophysiological states. The present study tested whether voluntary exercise would protect male offspring against maternal gestational hypertension-induced hypertensive response sensitization elicited by post-weaning high-fat diet (HFD).

Methods And Results:

On low-lard-fat diet, offspring of both normotensive and hypertensive dams had comparable resting blood pressure, but HFD feeding elicited an enhanced increase in blood pressure (ie, hypertensive response sensitization) in sedentary offspring of hypertensive dams when compared with sedentary offspring of normotensive dams. The HFD fed sedentary offspring of hypertensive dams displayed greater sympathetic activity, enhanced pressor responses to centrally administered ANG II (angiotensin II) or leptin, and greater mRNA expression of proinflammatory cytokines, leptin, and a marker of blood-brain barrier leakage in the hypothalamic paraventricular nucleus. The enhanced blood pressure and central sympathetic activity in HFD-fed sedentary offspring of hypertensive dams were significantly reduced by exercise but fell only to levels comparable to HFD-fed exercising offspring of normotensive dams. HFD-induced increases in plasma IL-6 (interleukin-6) and sympathetic activity and greater pressor responses to central TNF (tumor necrosis factor)-α in offspring from both normotensive and hypertensive dams were also maintained after exercise. Nevertheless, exercise had remarkably beneficial effects on metabolic and autonomic function, brain reactivity to ANG II and leptin and gene expression of brain prohypertensive factors in all offspring.

Conclusions:

Voluntary exercise plays a beneficial role in preventing maternal hypertension-induced hypertensive response sensitization, and that this is associated with attenuation of enhanced brain reactivity and centrally driven sympathetic activity.
Determinants and Trends of the Use of Intravenous Thrombolysis for Minor Stroke: A Population-Based Study, 2016 to 2020
Authors: Font Maria Àngels , García-Sánchez Sonia María , Mengual Juan José , Mena Luis , Avellaneda Carla , Serena Joaquín , Valls-Carbó Adrián , Chamorro Ángel , Ustrell Xavier , Molina Carlos , Cardona Pere , Guasch-Jiménez Marina , Purroy Francisco , Rodríguez-Campello Ana , Palomeras Ernest , Cocho Dolores , Krupinski Jerzy , Cánovas David , García-Alhama Jessica , Zaragoza José , Puiggròs Elsa , Matos Nuria , Aragonès Josep Maria , Costa Xavier , Sanjurjo Eduard , Pedroza Claudia , Monedero Jordi , Almendros M. Cruz , Rybyeva Maria , Carrión Dolors , Díaz Glòria , Barceló Miquel , Jiménez-Fàbrega Xavier , Salvat-Plana Mercè , Elosúa Roberto , Pérez de la Ossa Natalia , Gómez-Choco Manuel ,   on behalf of the Catalan Stroke Code and Reperfusion Consortium (Cat-SCR Consortium)
Published: August 2022

Background:

We analyzed the main factors associated with intravenous thrombolysis (IVT) in patients with minor ischemic stroke.

Methods:

Data were obtained from a prospective, government-mandated, population-based registry of stroke code patients in Catalonia (6 Comprehensive Stroke Centers, 8 Primary Stroke Centers, and 14 TeleStroke Centers). We selected patients diagnosed with ischemic stroke and National Institutes of Health Stroke Scale (NIHSS) ≤5 at hospital admission from January 2016 to December 2020. We excluded patients with a baseline modified Rankin Scale score of ≥3, absolute contraindication for IVT, unknown stroke onset, or admitted to hospital beyond 4.5 after stroke onset. The main outcome was treatment with IVT. We performed univariable and binary logistic regression analyses to identify the most important factors associated with IVT.

Results:

We included 2975 code strokes; 1433 (48.2%) received IVT of which 30 (2.1%) had a symptomatic hemorrhagic transformation. Patients treated with IVT as compared to patients who did not receive IVT were more frequently women, had higher NIHSS, arrived earlier to hospital, were admitted to a Comprehensive Stroke Centers, and had large vessel occlusion. After binary logistic regression, NIHSS score 4 to 5 (odds ratio, 40.62 [95% CI, 31.73–57.22];
P
<0.001) and large vessel occlusion (odds ratio, 16.39 [95% CI, 7.25–37.04];
P
<0.001) were the strongest predictors of IVT. Younger age, female sex, baseline modified Rankin Scale score of 0, earlier arrival to hospital (<120 minutes after stroke onset), and the type of stroke center were also independently associated with IVT. The weight of large vessel occlusion on IVT was higher in patients with lower NIHSS.

Conclusions:

Minor stroke female patients, with higher NIHSS, arriving earlier to the hospital, presenting with large vessel occlusion and admitted to a Comprehensive Stroke Centers were more likely to receive intravenous thrombolysis.
Comparative Evaluation and Comprehensive Analysis of Machine Learning
Models for Regression Problems
Authors: Sekeroglu Boran , Ever Yoney Kirsal , Dimililer Kamil , Al-Turjman Fadi
Published: August 2022

Artificial intelligence and machine learning applications are of significant importance almost in every field of human life to solve problems or support human experts. However, the determination of the machine learning model to achieve a superior result for a particular problem within the wide real-life application areas is still a challenging task for researchers. The success of a model could be affected by several factors such as dataset characteristics, training strategy and model responses. Therefore, a comprehensive analysis is required to determine model ability and the efficiency of the considered strategies. This study implemented ten benchmark machine learning models on seventeen varied datasets. Experiments are performed using four different training strategies 60:40, 70:30, and 80:20 hold-out and five-fold cross-validation techniques. We used three evaluation metrics to evaluate the experimental results: mean squared error, mean absolute error, and coefficient of determination (R2 score). The considered models are analyzed, and each model's advantages, disadvantages, and data dependencies are indicated. As a result of performed excess number of experiments, the deep Long-Short Term Memory (LSTM) neural network outperformed other considered models, namely, decision tree, linear regression, support vector regression with a linear and radial basis function kernels, random forest, gradient boosting, extreme gradient boosting, shallow neural network, and deep neural network. It has also been shown that cross-validation has a tremendous impact on the results of the experiments and should be considered for the model evaluation in regression studies where data mining or selection is not performed.
A Reappraisal of Dependency Length Minimization as a Linguistic Universal
Authors: Yadav Himanshu , Mittal Shubham , Husain Samar
Published: August 2022

Dependency length minimization is widely regarded as a cross-linguistic universal reflecting syntactic complexity in natural languages. A typical way to operationalize dependency length in corpus-based studies has been to count the number of words between syntactically related words. However, such a formulation ignores the syntactic nature of the linguistic material that intervenes a dependency. In this work, we investigate if the number of syntactic heads (rather than the number of words) that intervene a dependency better captures the syntactic complexity across languages. We demonstrate that the dependency length minimization constraint in terms of the number of words could arise as a consequence of constraints on the intervening heads and the tree properties such as node arity. The current study highlights the importance of syntactic heads as central regions of structure building during processing. The results show that when syntactically related words are nonadjacent, increased structure building in the intervening region is avoided.