bluuebunny/crossref_metadata_2025 huggingface dataset:
Creatine kinase is involved aluminum-induced energy metabolism disorder in astrocyte: Role of aluminum speciation
Authors: Ding Yixin , Zhu Kexin , Yu Qianqian , Tian Xuena , Wang Xuerui , Cheng Dai
Published: March 2022

Aluminum (Al) is an important environmental neurotoxicity, and the speciation of Al largely determines the absorption and toxic effects in human body. The brain-type creatine kinase (CK-BB), which is an important kinase that regulates energy supply in brain tissue, has been found high affinity to Al. The research was carried to explore the potential neurotoxicity mechanism induced by different speciation of Al. In the current work, the C57BL/6 mice and C6 cells were used to explore the role of Al speciation in Al-induced neurotoxicity. The results showed that the expression levels of F-actin and Cyt C/Caspase 9/Caspase 3 signaling pathways were different in mice treated with AlCl3 and Al(mal)3. In C6 cells, the CK-BB activity decreased by 23.92% after 3.5 mM AlCl3 treatment. AlCl3 treatment resulted in insufficient local ATP supply of cells, thereby affecting the formation of F-actin and cell morphology. After Al(mal)3 treatment, the fluorescence intensity of membrane potential was increased by 141.37%, followed by activating apoptosis pathway of Cyt C/Caspase 9/Caspase 3. In addition, molecular docking showed that the binding site of AlCl3 on CK-BB subunit was closer to the active site. Al(mal)3 enhanced the hydrophobicity of CK-BB. The aim of this study is to demonstrate that CK-BB is an important factor in Al-induced energy metabolism disorder process, in which the speciation of Al compound has revealed particular toxicity mechanisms.
Biomimetic, injectable and self-healing hydrogels with sustained release of ranibizumab to treat retinal neovascularization
Authors: Duan Ning , Mei Li , Hu Liting , Yin Xiaoni , Wei Xiangyang , Li Ying , Li Qinghua , Zhao Guiqiu , Zhou Qihui , Du Zhaodong
Published: March 2022

Abstract
Retinal neovascularization (RNV) is a typical feature of ischemic retinal diseases, including proliferative diabetic retinopathy, retinal vascular occlusion, and retinopathy of prematurity, which can lead to traction retinal detachment and even blindness in patients. As the downstream of hypoxia-inducible factor-1 (HIF-1), vascular endothelial growth factor (VEGF) leads to the emergence of RNV to a large extent by promoting the formation of new blood vessels. Therefore, anti-VEGF is currently the primary method for treating RNV worldwide. However, as one of the leading clinical anti-VEGF drugs, ranibizumab has several deficiencies of short drug half-life, frequent and repeated intravitreal injections, which indicates more complications and high cost resulting in more poor patient compliance. Therefore, it is urgent to develop an advanced drug delivery system that would achieve long-term delivery of anti-VEGF drugs in the eye. Herein, an injectable aminated hyaluronic acid/aldehyde-functionalized pluronic127 hydrogel loaded with ranibizumab (HP@Ran) is prepared by double dynamic Schiff base reaction for RNV treatment. The HP@Ran hydrogel exhibits excellent injectability, self-healing, and structural stability. Importantly, in vitro drug release study indicates that HP@Ran hydrogel continuously released drugs for more than 56 days owing to the competitive affinity release between ranibizumab and hydrogels. Furthermore, the in vitro biocompatibility assessments reveal that the designed HP@Ran hydrogel has excellent cytocompatibility and blood compatibility. In addition, the anti-angiogenic effect of the HP@Ran hydrogel in an in vivo rabbit persistent retinal neovascularization model suggests that the HP@Ran hydrogel treatment exhibits superior anti-angiogenic efficacy over ranibizumab treatment by decreasing vascular leakage and neovascularization on 12 weeks. Thus, the developed HP@Ran hydrogel possesses great potential for the treatment of RNV.
Individual differences in successful self-regulation of the dopaminergic midbrain
Authors: Hellrung Lydia , Kirschner Matthias , Sulzer James , Sladky Ronald , Scharnowski Frank , Herdener Marcus , Tobler Philippe
Published: March 2022

The dopaminergic midbrain is associated with reinforcement learning, motivation and decision-making – functions often disturbed in neuropsychiatric disorders. Previous research has shown that dopaminergic midbrain activity can be endogenously modulated via neurofeedback. However, the robustness of endogenous modulation, a requirement for clinical translation, is unclear. Here, we examined whether the activation of particular brain regions associates with successful regulation transfer when feedback is no longer available. Moreover, to elucidate mechanisms underlying effective self-regulation, we studied the relation of successful transfer with temporal difference coding outside the midbrain during neurofeedback training and with individual reward sensitivity in an monetary incentive delay (MID) task. Fifty-nine participants underwent neurofeedback training either in standard (Study 1 N=15, Study 2 N=28) or control feedback group (Study 1, N=16). Successful self-regulation was associated with prefrontal reward sensitivity in the MID task (N=25), with a decreasing relation between prefrontal activity and midbrain learning signals during neurofeedback training and with increased activity within cognitive control areas during transfer. The association between midbrain self-regulation and prefrontal temporal difference and reward sensitivity suggests that reinforcement learning contributes to successful self-regulation. Our findings provide new insights in the control of midbrain activity and may facilitate individually tailoring neurofeedback training.
A patient with hepatitis B virus infection had hepatic epithelioid angiomyolipoma scattered in the liver which was not suitable for surgical resection: A case report
Authors: Cai Xiangren , Sun Shuchuan , Deng Yuxin , Pan Siyuan
Published: March 2022

Hepatic epithelioid angiomyolipoma (HEAML) is a rare tumor of mesenchymal tissue with a malignant tendency. It most frequently occurs in women. According to incomplete statistics, the incidence in men and women is approximately 1:5. Most HEAML lesions are single, and the lesions are generally located in the right lobe of the liver. In rare cases, the occurrence and development of the disease is hidden, the lesions are generally found by chance by patients, there are no special signs, and imaging has no specificity in the diagnosis of the disease. In addition, the misdiagnosis rate is very high with an accuracy rate of < 32%. Therefore, it has led to great difficulties in our diagnosis and treatment. This patient was a middle-aged female with a history of hepatitis B and no other special symptoms. She is a patient with multiple intrahepatic angiomyolipoma. Due to the small and scattered foci, complete resection was impossible, and due to her history of hepatitis B, conservative treatment was taken, and regular follow-up was performed. There was no tumor neogenesis or metastasis at the one-year follow-up.
Cardiac MRI for Fontan Candidates after Intrapulmonary-Artery Septation
Authors: Ishidou Motonori , Sato Keisuke , Ito Hiroki , Hirose Keiichi , Ikai Akio , Sakamoto Kisaburo
Published: March 2022

A male neonate diagnosed with single left ventricle, transposition of the great arteries, and valvular pulmonary stenosis, underwent staged single-ventricle reconstruction. However, he was found to have unilateral pulmonary circulation due to pulmonary artery hypoplasia and pulmonary venous obstruction after cavopulmonary anastomosis. Therefore, intrapulmonary-artery septation was performed. The function of each lung after intrapulmonary-artery septation was evaluated using cardiac magnetic resonance to assess whether the Fontan procedure was indicated, and the two-lung Fontan circulation was achieved. Therefore, cardiac magnetic resonance can be used to evaluate pulmonary circulation after intrapulmonary-artery septation and determine the patient’s eligibility for Fontan procedure.
Land-use policies overcome fire suppression effects on functional diversity in a fire-prone, abandoned mountain area
Authors: Regos Adrián , Campos João Carlos , Albuquerque Beatriz , Civantos Emilio , Honrado João Pradinho
Published: March 2022

ContextClimate and land-use changes are contributing to impacts on global ecosystems functioning. These effects are particularly severe in areas undergoing land abandonment and extreme wildfire events, such as the Mediterranean regions of Iberian Peninsula.ObjectivesPrevious studies have evaluated the impacts of land management on fire mitigation and biodiversity, but how such strategies influence functional diversity remains unexplored. This study investigates if alternative land-fire management strategies affect functional diversity.MethodsManagement scenarios were modelled for 2050 on the Transboundary Biosphere Reserve Gerês-Xurés (Portugal-Spain). The land-use scenarios simulated processes of land abandonment (“business-as-usual” – BAU) and the implementation of EU rural policies (“High Nature Value farmlands” - HNV), and were combined with three fire suppression levels. Species distribution models (102 vertebrates) were projected to each scenario and functional diversity indices were consequently calculated.ResultsThe highest functional richness was predicted for BAU scenarios, probably representing the benefits to unique species that deliver singular functions. The HNV scenarios provided the highest functional divergence, probably indicating a high niche differentiation and low resource competition amongst agricultural communities. HNV was the most beneficial scenario for ecosystem functioning, while fire suppression did not affect functional diversity.ConclusionsDespite the proneness to burn of our study area and the effects of firefighting on its fire regime, land-use policies are expected to overcome fire suppression effects on functional diversity. These findings suggest that different facets of functional diversity will be unevenly influenced by fire-landscape dynamics driven by the land-use policies to be implemented in the upcoming decades.
Seizures in PPT1 Knock-in Mice are Associated with Inflammatory Activation of Microglia
Authors: Zhang Xusheng , Wang Mengting , Feng Bingyan , Zhang Qiuyu , Tong Jia , Wang Ming , Lu Chengbiao , Peng Shiyong
Published: March 2022

Infantile neuronal ceroid lipofuscinosis (INCL), the most severe form of neuronal ceroid lipofuscinoses, is caused by mutations in the lysosomal enzyme palmitoyl protein thioesterase 1 (PPT1). Typical symptoms of this disease include progressive psychomotor developmental retardation, visual failure, seizures, and premature death. Here, we investigated seizure activity and relevant pathological changes in PPT1 knock-in mice (PPT1 KI). The behavior studies in this study demonstrated that PPT1 KI mice had no significant seizure activity until 7 months of age, and local field potentials also displayed epileptiform activity at the same age. The expressional levels of Iba-1 and CD68 demonstrated by Western blot analysis, the inflammatory cytokine TNFα content measured with enzyme-linked immunosorbent assay, and the branch number and length of microglia demonstrated by immunohistochemistry (IHC) were significantly increased at age of 7 months, all of which indicate microglia activation at an age of seizure onset. The increased expressional of GFAP was seen at an earlier age of 4 month and such an increase reached its peak at age of 6 month, indicating that astrocyte activation precedes microglia. The purinergic P2X7 receptor (P2X7R) is a ATP-sensitive ionic channel that is highly expressed in microglia and fundamental to microglial activation, proliferation, cytokines release and epilepsy. We show that the ATP concentration in hippocampal tissue in PPT1 KI mice was increased using an enhanced ATP assay kit and demonstrated that the antagonist of P2X7R, A-438079 significantly reduced seizures in PPT1 KI mice. In contrast to glial cell activation and proliferation, the significant reduction of synaptic proteins GABAAR were seen in PPT1 KI mice. These results indicate that seizure in PPT1 KI mice may be associated with microglial activation involving in ATP-sensitive-P2X7R signaling and damaged inhibitory neurotransmission.
Self-perceived burden, social support and pain, and kinesiophobia correlates in Chinese older adults with knee osteoarthritis: a cross-sectional survey
Authors: Tan Mingyang , Li Hongyu , LI Jingyan , LIU Yanping , JI Xiaofu , ZHANG Yanli , ZOU Yinghan
Published: March 2022

Background: The health of the elderly has always been the focus of attention in various countries, and how to better enable the elderly to enjoy a good quality of life has become a major focus of our research. This study was conducted to increase knowledge on the actuality of social support and pain, self-perceived burden, and kinesiophbia in elderly patients with knee osteoarthritis in China to provide evidence for disease recovery.Methods: Cross-sectional survey using a general demographic questionnaire, social support and pain scale(SPQ), self-perceived burden scale and scale(SPBS), and Tampa Scale of Kinesiophobia(TSK-11) were administered.Results: The results showed a prevalence of 57.89% for kinesiophobia in elderly patients with knee osteoarthritis. Social support and pain was negatively correlated with self-perceived burden scores and kinesiophobia scores（（r=-0.297,p＜0.01；r=-0.368,p＜0.01）, the self-perceived burden was positively correlated with kinesiophobia（r=0.605,p＜0.01）. The marital status, education, degree of understanding of the condition, pain degree, SPQ, and SPBS were associated with kinesiophobia, counting for 43.2% of the variance in kinesiophobia.Conclusions: The prevalence of kinesiophobia in elderly patients with knee osteoarthritis is very high. Medical works should take early intervention measures to improve pain social support and reduce the self-perceived burden, and help promote disease recovery.
Further Use of Spent Co-Based Macroporous Adsorbent for Low-Temperature Hydrodesulfurization
Authors: Feng Yue-Ting , Wang Jian , Yang Chao , Su Zhe-Lin , Fan Hui-Ling
Published: March 2022

Solid waste Co-containing adsorbents are considered to be used for the hydrotreating process. Herein, Cobalt-based waste materials from the low-temperature desulfurization process were used as organic sulfur hydrotreating catalysts. Physicochemical properties of waste adsorbents were characterized and the performance for COS conversion was evaluated at different conditions. The spent Co-containing adsorbents exhibit considerable organic sulfur hydrogenation performance at low temperature, the residual cobalt oxide in sulfided samples will absorb part of hydrogen sulfide and generate new active phase Co9S8. By further characterization, it can be found that the unstable Co-S bond on the surface of the sample played a key role in hydrogenation catalysis. Results indicated that the sulfidation degree of the waste adsorbents played a key role in the hydrotreating process. With the temperature increasing from 150~250 ℃, the conversion rate and H2S selectivity were increased. It is hoped that this paper will provide significant suggestions in waste adsorbents treatment for future work.
Deep learning-based noise filtering toward millisecond order imaging by using scanning transmission electron microscopy
Authors: Ihara Shiro , Saito Hikaru , Yoshinaga Mizumo , Murayama Mitsuhiro
Published: March 2022

Application of scanning transmission electron microscopy (STEM) to in situ observation will be essential in the current and emerging data-driven materials science by taking STEM’s high affinity with various analytical options into account. As is well known, STEM’s image acquisition time needs to be further shortened to capture a targeted phenomenon in real time as STEM’s current temporal resolution is far below the conventional TEM’s. However, rapid image acquisition in the millisecond per frame or faster generally causes image distortion, poor electron signals, and unidirectional blurring, which are obstacles for realizing video-rate STEM observation. Here we show an image correction framework integrating deep learning (DL)-based denoising and image distortion correction schemes optimized for STEM rapid image acquisition. By comparing a series of distortion corrected rapid scan images with corresponding regular scan speed images, the trained DL network is proven to remove not only the statistical noise but also the unidirectional blurring. This result demonstrates that rapid as well as high-quality image acquisition by STEM without hardware modification can be established by the DL. The DL-based noise filter could be applied to in-situ observation, such as dislocation activities under external stimuli, with high spatio-temporal resolution.
Lipid-A-Dependent and Cholesterol-Dependent Dynamics Properties of Liposomes from Gram-Negative Bacteria in ESKAPE.
Authors: Franco-Gonzalez Juan Felipe , Matamoros-Recio Alejandra , Torres-Mozas Angel , Rodrigo-Lacave Blanca , Martin-Santamaria Sonsoles
Published: March 2022

AntiMicrobial Resistance (AMR) is a worldwide health emergency. ESKAPE pathogens include the most relevant AMR bacterial families. In particular, Gram-negative bacteria stand out due to their cell envelope complexity which exhibits strong resistance to antimicrobials. A key element for AMR is the chemical structure of lipid A, modulating the physico-chemical properties of the membrane and permeability to antibiotics. Liposomes are used as models of bacterial membrane infective vesicles. In this work, coarse-grained molecular dynamics simulations were used to model liposomes from ESKAPE Gram-negative bacteria (Escherichia coli, Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa). We captured the role of lipid A, cardiolipin and cholesterol on liposome morphology and physico-chemical properties. Additionally, the reported antimicrobial peptides Cecropin B1, JB95, and PTCDA1-kf, were used to unveil their implications on membrane disruption. This study opens promising avenues to understand the molecular keys of bacterial membranes and to develop new antimicrobials to overcome AMR.
DeepPN: A Deep Parallel Neural Network Based On Convolutional Neural Network and Graph Convolutional Network For Predicting RNA-Protein Binding Sites
Authors: Zhang Jidong , Liu Bo , Wang Zhihan , Lehnert Klaus , Gahegan Mark
Published: March 2022

Background
RNA-binding proteins (RBPs) play a vital role in post-transcriptional control. Identification of RBPs binding sites is a key step for the anatomy of the essential mechanism of gene regulation by controlling splicing, stability, localization and translation. Traditional methods for detecting RBPs binding sites are time-consuming and computationally-intensive. Recently, the computational method has been incorporated in researches of RBPs. Nevertheless, lots of them not only rely on the sequence data of RNA but also need the additional data, for example the secondary structural data of RNA, to improve the performance of prediction, which needs the pre-work to prepare the learnable representation of structural data.
Results
To reduce the dependency of those pre-work, in this paper, we introduce DeepPN, a deep parallel neural network that is constructed with a convolutional neural network (CNN) and graph convolutional network (GCN) for detecting RBPs binding sites. It includes a two-layer CNN and GCN in parallel to extract the hidden features. After that, there is the fully connected layer to make the prediction. DeepPN discriminate the RBP binding sites on learnable representation of RNA sequence, which only uses the sequence data without using other data, for example the secondary or tertiary structure data of RNA. DeepPN is evaluated on 24 datasets of RBPs binding sites with other state-of-the-art methods. The results show that the performance of DeepPN is comparable to the published methods.
Conclusion
Our experimental data show that our method can effectively capture potential hidden features in RBP and use these features for effective classification prediction of binding sites.
A study on the standard setting, validity and reliability of the standardized patient performance rating scale – student version
Authors: Gonullu Ipek , Dogan Celal Deha , Erden Sengul , Gokmen Derya , Gokmen Derya
Published: March 2022

Introduction: The quality of standardized patients’ performance plays a significant role in the effectiveness of clinical skills education. Therefore, providing standardized patients with constant feedback is pivotal, and as the students interact one-on-one with standardized patients, it is essential to learn the students' perspectives immediately after the encounters. There is not a single study where a standard scale with a cut-off score is specifically developed for students to assess the quality of standardized patients’ performance immediately after the encounters. The three main goals of this study include: 1) Developing a scale to measure standardized patients’ performance by students; 2) Examining its psychometric properties; and 3) Doing a standard-setting to determine a cut-off score for the scale. Materials and methods: In the scale developing process; for the pilot testing, and validation process, 702 medical students participated, whereas for the standard-setting process, seven educators took part in this study. Exploratory and confirmatory factor analyses were performed. For the standard-setting study, the extended Angoff method was utilized. Results: As a result of the exploratory factor analysis, the scale had a single-factor structure as confirmed by confirmatory factor analysis. Cronbach's alpha internal consistency coefficient was calculated as 0.91. The scale consisted of nine items. The score of a standardized patient at the borderline was 24.11 out of 45.Conclusions: "Standardized Patient Performance Rating Scale – Student Version" is a valid and reliable scale for assessing the performance of standardized patients by the students immediately. It will guide standardized patient trainers during their training and will enable standardized patients to assess and develop their weaknesses on an individual performance level.
School Burnout in Adolescents: What are the Role of Emotional Autonomy and Setting Life Goals?
Authors: Kaya Meva Demir , Kaya Feridun
Published: March 2022

This study was conducted to investigate the mediating role of setting life goals in the relationship between emotional autonomy and school burnout. The study was carried out in accordance with the correlational survey model, which is used to determine the existence of covariance between two or more variables. The mediation model was tested on 304 high school students [156 (51.3%) females, 148 (48.7%) males; Mage = 16.12, SD = 1.20]. The School Burnout Inventory, the Scale of Setting Life Goals, the Emotional Autonomy Scale, and a Personal Information Form were used in the research. According to the results, school burnout had negative significant correlations with emotional autonomy and setting life goals. On the other hand, there was a significant positive correlation between emotional autonomy and setting life goals. The mediation analysis results indicated that setting life goals had a fully mediating role between emotional autonomy and school burnout. Accordingly, emotional autonomy promoted setting life goals and contributed to mitigating school burnout. In this respect, this study points out that some positive emotional factors have a protective function against school burnout.
PERSPECTIVAS PARA 2022
Authors: Machado Giovanna , David Jorge , Morgon Nelson
Published: March 2022

Para editores de revistas científicas, como a Química Nova, o início de cada ano é sempre um momento de reflexão, de se fazer um retrospecto, tanto em relação às dificuldades encontradas, como na comemoração dos avanços do ano anterior.
PLANEJAMENTO FATORIAL NA SÍNTESE DO OLEATO DE ETILA CATALISADA PELA LIPASE NATIVA DE Aspergillus niger
Authors: Dias Sofia , Dias Michele , Adati Renata , Carvalho Patrícia , Pilissão Cristiane
Published: March 2022

FACTORIAL DESIGN FOR THE SYNTHESIS OF ETHYL OLEATE CATALYZED BY NATIVE LIPASE Aspergillus niger. This work reports the use of the Octave, a free computational software, to optimize the experimental design in the synthesis of ethyl oleate from oleic acid and ethanol catalyzed by a native lipase from Aspergillus niger. The central composite factorial design (CCD) was performed with 2 levels and 3 variables (temperature, mass of native A. niger lipase and oleic acid:ethanol molar ratio) in conjunction with response surface methodology (RSM). The results indicate that variable 1 (oleic acid:ethanol molar ratio; X1) and 2 (mass of A. niger lipase, X2), as well as the interaction between them, are statistically significant. The optimal reaction condition was estimated using ANOVA data and the response surface. The experimental results are consistent with those estimated, and thus, ethyl oleate was obtained with conversion (> 90%) using oleic acid and ethanol in a 1:2 molar ratio, A. niger lipase (8,00 mg) and temperature of 45 °C in 6 hours of reaction.
Analysis of the functional dependability of underground gas storage compressor stations in cases when actual performance indicators deviate from the design values
Authors: Vorontsov M. A. , Grachiov A. S. , Grachiova A. O. , Kirkin M. A. , Melnikova A. V.
Published: March 2022

Aim. The paper examined the matter of assessment of the functional dependability of compressor stations (CS) of underground gas storage (UGS) facilities. A definition of CS functional dependability and guidelines for its assessment were proposed. Methods. Design calculation of compressor stations, scenario analysis. Results. The paper presents: a) a definition, indicators of CS functional dependability and guidelines for its assessment; b) an example of the guidelines application for UGS CS; c) a comparative analysis of UGS CS functional dependability in a number of various versions: use of single-unit and two-unit centrifugal compressors as part of gas turbine gas pumping units for two-stage compression with intercooling. Conclusion. The paper shows the requirement to analyse the functional dependability of various versions of UGS CS for the purpose of identifying the most rational option that ensures unconditional performance of the key UGS CS function under uncertain initial design data.
Czy Moria jest świętą górą Boga? Terminologia, dzieje i archeologia miejsca
Authors: Kubisiak Przemysław
Published: March 2022

Góra Moria jest znana przede wszystkim jako Wzgórze Świątynne w Jerozolimie. Zarówno Stary, jak i Nowy Testament wspominają o niej wielokrotnie, jednak w zdecydowanej większości przypadków nie wymieniają jej z nazwy, lecz utożsamiają ją ze Świątynią Jerozolimską. Etymologia nazwy Moria możliwa jest do wyprowadzenia z rdzeni zarówno hebrajskich, jak i aramejskich. Odsłania ona zabiegi literackie, które mogą dawać możliwości nowych interpretacji znaczenia tego miejsca. Artykuł ukazuje te zabiegi, a także przedstawia wyniki badań archeologicznych tego miejsca.
O uso do sensor RGB TCS3200 em arduino, aplicado a esteira seletora por cor
Authors: Roveratti Gabrielle , Feitosa Adriano de Araújo , Galera Jhonatan Wiliam
Published: March 2022

O presente trabalho consiste em uma revisão bibliográfica acerca do uso e aplicação do sensor RGB TCS230, utilizando arduino. Este trabalho é um relato de uma de suas inúmeras aplicações: esteira seletora de cor, com enfoque apenas no teste de seu uso. Foram feitos testes e experimentos a respeito do funcionamento do referido sensor e seu comportamento. Vários ensaios foram realizados para determinar a aplicabilidade e o funcionamento do sensor RGB na linguagem do Arduino. Foi possível verificar a eficácia do sensor, assim como a sua margem de tolerância, o sensor mostrou-se funcional, em aplicações na qual as cores a serem detectadas no espectro não são próximas. Após estes ensaios terem sido realizados, constatou-se que esse sensor não é a melhor opção para tal finalidade, sendo útil apenas se for utilizado sozinho, sem nenhuma integração com outro módulo.
Transformações em sistemas elétricos de potência
Authors: Gurgel Nathan Bezerra , Moura Adriano Aron Freitas de , Moura Ailson Pereira de , Rocha Ednardo Pereira da , Aguiar Victor de Paula Brandão , Silva Filho Olympio Cipriano da
Published: March 2022

As máquinas elétricas rotativas trifásicas são elementos essenciais para os sistemas elétricos de potência. Devido ao caráter dinâmico desses equipamentos, as análises de seus circuitos elétricos equivalentes se tornam um tanto complexas. Existem diversas formas para facilitar a resolução dos projetos e análises, sendo a transformação de domínio uma das mais comumente usadas e em específico, citamos a transformada de Park e Clarke que foram inicialmente desenvolvidas para simplificar os cálculos. O presente artigo traz uma revisão sistemática dessas transformadas, mostrando as deduções das matrizes de Amplitude Invariante e Potência Invariante, e a aparição da frequência dupla quando a velocidade angular do referencial está na velocidade síncrona, além de mostrar na prática as vantagens de se utilizar essas transformações.
Integração com SCADA para gestão de indicadores de manutenção em parques eólicos
Authors: Cavalcante Fabricio , Ribeiro Lianderson , Vilar Zoroastro
Published: March 2022

Atualmente, a gestão da manutenção possui um papel estratégico dentro da indústria. A crescente demanda pela alta disponibilidade e maior confiabilidade dos ativos, abre espaço para aplicação de técnicas e metodologias de Engenharia de Manutenção, visando identificar os principais empecilhos para cumprimento destes objetivos, baseados em Confiabilidade, Manutenabilidade e Disponibilidade. Este artigo apresentará a aplicação do método de Knowledge Discovery in Databases – KDD, associado ao diagrama de Jack-Knife, para elencar os padrões de falhas numa usina eólica.
Sistemas Fotovoltaicos: análise de perdas por Mismatch
Authors: Dantas Juliana Cristina , Guerra Fabiana Karla de Oliveira Martins Varella , Nascimento Vitória Caroline Carvalho do
Published: March 2022

O presente trabalho trata da análise de problemáticas ocasionadas devido às perdas por mismatch na geração de energia elétrica em sistemas fotovoltaicos. Um estudo de caso comparativo foi realizado entre dois sistemas fotovoltaicos distribuídos com mesma potência, ambos instalados em unidades consumidoras de baixa tensão na cidade de Mossoró-RN. Inicialmente foi feito o levantamento de dados baseado em materiais cedidos por uma empresa do ramo de energia solar fotovoltaica. Após a análise de dados, foram realizadas visitas às unidades consumidoras para inspeção técnica e visual das instalações, de modo a verificar possíveis problemas inicialmente detectados. Os resultados mostraram que as perdas mais recorrentes nos sistemas fotovoltaicos são consequência de erros de projeto e instalação, e podem ser evitadas, basicamente, por análises técnicas prévias no desenvolvimento do projeto e manutenções preventivas em intervalos de tempo recomendados pela empresa. Dessa forma, como resultado verificou-se que a identificação e a resolução dessas falhas são de grande importância para o funcionamento adequado e, consequentemente, obtenção da geração de energia elétrica esperada dos sistemas fotovoltaicos analisados.
Inferring Cell-type-specific Genes of Lung Cancer Based on Deep Learning
Authors: Huang Jingyu , Cheng Nitao , Chen Chen , Li Changsheng
Published: March 2022

Background:

Lung cancer is cancer with the highest incidence in the world, and there is obvious heterogeneity within its tumor. The emergence of single-cell sequencing technology allows researchers to obtain cell-type-specific expression genes at the single-cell level, thereby obtaining information regarding the cell status and subpopulation distribution, as well as the communication behavior between cells. Many researchers have applied this technology to lung cancer research, but due to the shortcomings of insufficient sequencing depth, only a small part of the gene expression can be detected. Researchers can only roughly compare whether a few thousand genes are significant in different cell types.

Methods:

To fully explore the expression of all genes in different cell types, we propose a method to predict cell-type-specific genes. This method infers cell-type-specific genes based on the expression levels of genes in different tissues and cells and gene interactions. At present, biological experiments have discovered a large number of cell-type-specific genes, providing a large number of available samples for the application of deep learning methods.

Results:

Therefore, we fused Graph Convolutional Network (GCN) with Convolutional Neural Network( CNN) to build, model, and inferred cell-type-specific genes of lung cancer in 8 cell types.

Conclusions:

This method further analyzes and processes single-cell data and provides a new basis for research on heterogeneity in lung cancer tumor, microenvironment, invasion and metastasis, treatment response, drug resistance, etc.
Synthetic Strategies of Pyrazoline Derivatives for the Development of New
Anticancer Agents: Recent Updates
Authors: Ray Pushkar Kumar , Salahuddin  , Mazumder Avijit , Kumar Rajnish , Ahsan Mohamed Jawed , Yar Mohamed Shahar
Published: March 2022

Background:

Pyrazoline is a heterocyclic compound with five members, two nitrogen atoms
in a circle, and one endocyclic bond. Pyrazoline is a popular electron-rich nitrogen carrier that
combines exciting electronic properties with the potential for dynamic applications. Pyrazine derivatives
have been synthesized using a variety of methods, all of which have shown to have a strong biological
effect.

Objective:

The study of the biological activity of pyrazoline derivatives has been a fascinating field of
pharmaceutical chemistry. Pyrazolines are used in a wide range of applications. The pyrazoline derivatives
described in the literature between 2000 and 2021 were the focus of this study. Pyazolines have
been discussed in terms of their introduction, general synthetic method, and anticancer potential in the
current review.

Conclusion:

Pyrazolines are well-known heterocyclic compounds. Pyrazoline is a five-membered ring
containing three carbon and two nitrogen atoms nearby. The synthesis of pyrazolines has been described
using a variety of methods. Anticancer activity has been discovered in a number of pyrazoline
derivatives, which encourages further research. The use of pyrazoline to treat cancer has piqued researchers'
interest in learning more about this moiety.
Site-Specific Binding of Anti-Cancer Drugs to Human Serum Albumin
Authors: Bhosale Mrinalini , Jeelani Ishtiaq , Nawaz Allah , Abe Hitoshi , Padhye Subhash
Published: March 2022

The interaction of drugs with proteins plays a very important role in the distribution of the drug. Human serum albumin (HSA) is the most abundant protein in the human body and showing great binding characteristics has gained a lot of importance pharmaceutically. It plays an essential role in the pharmacokinetics of a number of drugs and hence several reports are available on the interaction of drugs with HSA. It can bind to cancer drugs and thus it is crucial to look at the binding characteristics of these drugs with HSA. Herein we summarize the binding properties of some anti-cancer drugs by specifically looking into the binding site with HSA. The number of drugs binding at Sudlow's site I situated in subdomain II A is more than the drugs binding at Sudlow's site II.
A Game Theory-based Approach to Fuzzy Linear Transportation Problem
Authors: Temelcan Gizem , Kocken Hale Gonce , Albayrak Inci
Published: March 2022

Background:

Transport models have wide application areas in the real world and play
an important role in reducing transportation costs, increasing service quality, etc. These models
may have uncertain transportation costs and supply or demand capacities of the product. Hence, it
would be effective to model the vagueness of customer demands, economic conditions, and technical
or non-technical uncertainties because of uncontrollable factors. Therefore, we focus on developing
a mathematical solution approach to the fuzzy transportation problems.

Objective:

In this paper, an integrated approach is proposed for the solution of the fuzzy linear
transportation problem that has fuzzy cost coefficients in the objective function. Since transportation
problem is encountered frequently in the national and international environment, it is considered
that proposing a new solution method to this problem will be useful.

Methods:

Fuzzy cost coefficients are taken as trapezoidal fuzzy numbers due to their widespread
use in the literature. Firstly, the fuzziness is removed by converting the original single objective
fuzzy transportation problem into a crisp Multi-Objective Linear Programming Problem (MOLPP).
After the classical payoff matrix is constructed, ratio matrices are obtained to scale the objectives.
Then, an approach based on game theory is implemented to solve the MOLPP, which is handled as
a zero-sum game.

Results:

Creating different ratio matrices in the game theory part of the approach can generate
compromise solutions for the decision-makers. To demonstrate the effectiveness of the proposed
approach, two numerical examples from the literature are solved. While the same solution is obtained
in one of the examples, a different compromise solution set is generated, which could be
presented to the decision-maker in the other example.

Conclusion:

In this paper, we developed a novel game theory-based approach to the fuzzy transportation
problem. The proposed approach overcomes the non-linear structure due to the uncertainty
in the cost coefficients. The greatest advantage of the proposed approach is that it can generate
more than one optimal solution for the decision-maker.
Wayang Gana Murti performance in Rsigana ceremony
Authors: Sudanta I Nyoman , Gelgel I Putu , Subrata I Wayan
Published: March 2022

This research was intended to discuss and explore three formulated terms. 1) Why is the Wayang Gana Murti performance held in the Rsigana ceremony at the Pujung Sari Traditional Village, Tegallalang, Gianyar? 2) What is the process for the performance of the Gana Murti Wayang in the Rsigana Ceremony in the Pujung Sari Traditional Village, Tegallalang, Gianyar? 3) What are the implications of the Wayang Gana Murti performance at the Rsigana ceremony on the social, religious and cultural life of the people of the Pujung Sari Traditional Village? The purpose of this study in general is to analyze in depth the performance of Wayang Gana Murti in the Rsigana ceremony, hopefully it can be used as a reference and applied to Hinduism and Balinese culture.
Puff Bars, Tobacco Policy Evasion, and Nicotine Dependence: Content Analysis of Tweets (Preprint)
Authors: Chu Kar-Hai , Hershey Tina B , Hoffman Beth L , Wolynn Riley , Colditz Jason B , Sidani Jaime E , Primack Brian A
Published: March 2022

BACKGROUND

Puff Bars are e-cigarettes that continued marketing flavored products by exploiting the US Food and Drug Administration exemption for disposable devices.

OBJECTIVE

This study aimed to examine discussions related to Puff Bar on Twitter to identify tobacco regulation and policy themes as well as unanticipated outcomes of regulatory loopholes.

METHODS

Of 8519 original tweets related to Puff Bar collected from July 13, 2020, to August 13, 2020, a random 20% subsample (n=2661) was selected for qualitative coding of topics related to nicotine dependence and tobacco policy.

RESULTS

Of the human-coded tweets, 2123 (80.2%) were coded as relevant to Puff Bar as the main topic. Of those tweets, 698 (32.9%) discussed tobacco policy, including flavors (n=320, 45.9%), regulations (n=124, 17.8%), purchases (n=117, 16.8%), and other products (n=110, 15.8%). Approximately 22% (n=480) of the tweets referenced dependence, including lack of access (n=273, 56.9%), appetite suppression (n=59, 12.3%), frequent use (n=47, 9.8%), and self-reported dependence (n=110, 22.9%).

CONCLUSIONS

This study adds to the growing evidence base that the US Food and Drug Administration ban of e-cigarette flavors did not reduce interest, but rather shifted the discussion to brands utilizing a loophole that allowed flavored products to continue to be sold in disposable devices. Until comprehensive tobacco policy legislation is developed, new products or loopholes will continue to supply nicotine demand.
ICONS (Imaging, Cognition and Neuropsychological Outcomes after Subarachnoid haemorrhage): protocol of a longitudinal, prospective, cohort study to investigate recovery (Preprint)
Authors: Khosdelazad Sara , Jorna Lieke S. , Buunk Anne M. , Rakers Sandra E. , Timmerman Marieke E. , Borra Ronald J.H. , van der Hoorn Anouk , Groen Rob J.M. , Spikman Jacoba M.
Published: March 2022

BACKGROUND

A subarachnoid haemorrhage (SAH) is a severe bleeding in the subarachnoid space that is often caused by the rupture of an aneurysm. Patients who survive SAH have a high risk for complications and negative long-term outcome.

OBJECTIVE

The aim of the Imaging, Cognition and Outcome of Neuropsychological functioning after Subarachnoid haemorrhage (ICONS) study is to investigate the effects of cognitive, emotional, and behavioural deficits as well as brain damage in the subacute stage, on long-term recovery after SAH. Recovery is defined as functioning at societal participation level, with a focus on both resuming and maintaining work, leisure activities, and social relationships on the long-term.

METHODS

The ICONS study is an observational, prospective, single-centre cohort study. A total number of 150 SAH patients will be recruited from the University Medical Centre Groningen. Inclusion criteria consist of an aneurysmal SAH (aSAH) or angiographically negative SAH (anSAH) diagnosis, sufficient mastery of the Dutch language and age older than 18 years. Patients will undergo neuropsychological assessment and magnetic resonance imaging (MRI) at 6 months after SAH. Furthermore, patients are asked to fill in questionnaires on multiple psychosocial measures and undergo a structured interview at 6 months, 1-year, and 2-years after SAH. The primary outcome measure of the ICONS study is societal participation 1-year post-SAH, measured with the Dutch version of the Impact on Participation and Autonomy questionnaire.

RESULTS

The study is already ongoing for 2 years, and thus far, 56 patients and 62 healthy controls have been included. First results are expected early 2023.

CONCLUSIONS

This study is the first to collect and combine data in a variety of domains (cognition, emotion and behaviour, and brain damage), which allows for a broad investigation of recovery after SAH. New, and advanced neuro-imaging methods, that are considered more sensitive measures as compared to conventional MRI, are applied to measure brain damage.

CLINICALTRIAL

Netherlands Trial Register NL7803, June 17, 2019
Are conventional combined training interventions and exergames two facets of the same coin to improve brain and cognition in healthy older adults? A data-based viewpoint (Preprint)
Authors: Temprado Jean-Jacques
Published: March 2022

UNSTRUCTURED

Combining physical, motor, and cognitive exercises is expected to be effective to attenuate age-related declines of brain and cognition in older adults. This can be done either by conventional interventions or by exergames. The present paper aimed to determine whether conventional combined training and exergame interventions are two comparable ways for delivering combined training. Twenty-four studies on conventional training and 23 studies on exergames were selected and compared A common framework was used to analyze both types of combined training interventions. Our analysis showed that conventional combined training interventions were more effective than separated physical and motor training to improve brain and cognition, while their superiority over cognitive training alone remains to be confirmed. Exergames scarcely led to superior cognitive benefits than those observed after physical, motor or cognitive training alone. Thus, though both conventional training interventions and exergames allowed delivering combined training programs, they are not two facets of the same coin. Further studies, more theoretically grounded, are necessary to determine whether interventions delivered via exergames may lead to superior benefits than conventional, separated and combined training interventions.
Investigación de campo para la regionalización del patrimonio cultural inmaterial
Authors: Martínez de la Rosa Alejandro
Published: March 2022

Durante el siglo XX se circunscribieron ciertos géneros de música tradicional a jurisdicciones estatales precisas de la República, lo cual tiene un error de simplificación. La regionalización de estas culturas musicales es compleja y en sí misma pone en tela de juicio aquellas propuestas simplificadoras. A continuación, presentaré algunos resultados de mi investigación y la consecuente propuesta de regionalización. Hablaré además de algunos referentes del trabajo de campo realizado, así como de mis recomendaciones y principios generales para llevar a cabo una investigación similar en otras latitudes, con la aspiracón a conformar una metodología.
La fotografía como herramienta en el trabajo etnográfico
Authors: Quintanar Pérez Héctor Adolfo
Published: March 2022

La cámara, desde sus inicios en el mundo de las artes, ha sido una fiel acompañante para la especie humana en su ardua tarea de hacer un registro que pretende ser fiel a la realidad.Es a través de la lente y los mecanismos técnicos de la máquina fotográfica que, desde hace más de dos siglos, en una superficie se pueden representar imágenes de nuestro entorno, ideologías e incluso conflictos. Así, la fotografía se convierte en un documento de carácter no solo documental, sino también cultural. Es en este sentido que la riqueza de una fotografía puede ser aprovechada por la ciencia antropológica cuando, vista como un documento social, otorga diversas dimensiones en las que pueden conocerse elementos simbólicos o históricos de diversos grupos humanos. Desde representaciones sincréticas expresadas en las fiestas tradicionales de los pueblos originarios, hasta el lenguaje visual de los grupos delincuenciales, la fotografía es una herramienta necesaria para cubrir las necesidades de la investigación y la divulgació científica modernas.