bluuebunny/crossref_metadata_2025_split huggingface dataset:
PROPRIEDADES FÍSICAS NA CARACTERIZAÇÃO DOS ÓLEOS DE PEIXE
Authors: Markievicz Mancio Kus-Yamashita Mahyara , Bonaldi Cano Cristiane , Aranha Dias Nelson , Mancini Filho Jorge 
Published: May 2021

Óleo de peixe encapsulado é um dos suplementos alimentares mais consumidos no Brasil e no Mundo, este suplemento traz diversos benefícios, como prevenção de doenças cardiovasculares, de alguns tipos de câncer, modulação do sistema imunológico, sendo essencial no desenvolvimento cerebral de bebês e crianças, sendo estudado atualmente sua relação com as doenças degenerativas psicológicas. A principal fonte deste "ômega 3” é através da extração do óleo de peixes gordurosos de água fria, que são ricos nos ácidos graxos eicosapentaenóico (EPA) e docosahexaenóico (DHA). Visando caracterizar os óleos de peixe através de suas propriedades físicas, como densidade e índice de refração foram analisadas 23 amostras de óleo de peixe e realizadas as medições de densidade e índice de refração baseados nas metodologias do Métodos para análise de alimentos do Instituto Adolfo Lutz. Os valores de densidade relativa variaram de 0,8891 a 0,9544 e do índice de refração de 1,45770 a 1,47588, estes dados foram similares a outros estudos, entretanto os dados são raros e para o índice de refração muito escassos, o parâmetro de densidade demostrou ser mais importante para a caracterização que o índice de refração, entretanto mais estudos são necessários. Portanto é de extrema importância o conhecimento destes parâmetros para caracterizar os óleos de peixe, além de gerar um banco de dados destas propriedades, para subsidiar padrões de qualidade e identidade, bem como legislações sobre o assunto.
Efeito do pH e força iônica na atividade antimicrobiana de ramnolipídeos frente à Staphylococcus aureus
Authors: Gouveia Amanda , Nitschke Márcia 
Published: May 2021

As doenças transmitidas por alimentos (DTA) são consideradas uma das causas mais significativas de mortalidade nos países em desenvolvimento, sendo as bactérias um dos principais fatores causadores destas patologias. Dentre elas, destacam-se as doenças causadas por Staphylococcus aureus, sendo nocivas tanto pela infecção do organismo hospedeiro, quanto pela intoxicação por enterotoxinas presentes nos alimentos contaminados e mal armazenados. A resistência bacteriana aos antibióticos convencionais, junto ao interesse por antimicrobianos mais sustentáveis, demanda a busca por métodos alternativos de controle. Neste contexto, a utilização de biossurfatantes (BS), como os ramnolipídeos (RL), se mostra promissora uma vez que apresentam baixa toxicidade, são biodegradáveis e sintetizados a partir de fontes renováveis. O principal objetivo deste trabalho foi avaliar o efeito do pH e da força iônica na atividade antimicrobiana dos RL frente a S. aureus. Os resultados mostraram que o aumento do pH de 5 para 7, aumentou o valor da concentração inibitória mínima (CIM), de 78,12 mg/L para >2500 mg/L. Da mesma forma, o aumento da concentração de NaCl favoreceu a ação antimicrobiana dos RL em todos os valores de pH testados. A força iônica combinada com o pH tem um efeito significativo na inibição do crescimento de S. aureus por RL apresentando potencial para aplicação em alimentos ácidos e salgados
Análise multirresíduo de tomate e produtos derivados:
Authors: RAFAELA DA SILVA COSTA FÁTIMA , VITOR DE MELO FREITAS JOÃO , MARIA BARRETO AMARAL SHEYLA , LARISSE PINHEIRO UCHIA MARIA , APARECIDA LIBERATO MILHOME MARIA 
Published: May 2021

No Brasil a utilização de agrotóxico vem se intensificando a cada ano, tornando-se algo preocupante para população. Resíduos de agrotóxicos podem permanecer no alimento após o processamento, devido a sua resistência e difícil degradação. O tomate é uma hortaliça importante na dieta alimentar, contendo fontes de vitamina A, C, carotenoides e antioxidantes, obtendo papel de proteção do corpo contra câncer e a redução de glicose no sangue. Para expandir os conhecimentos, houve a busca por artigos relacionados a esse estudo, métodos de validação para determinação de resíduos de agrotóxicos em tomate e seus derivados, associados a técnicas cromatográficas (liquidas e gasosas). Inicialmente foram encontrados 528 artigos aptos para inclusão desta revisão, após a leitura na íntegra, restaram somente 15 artigos. Nos últimos dez anos foram conduzidos inúmeros estudos relacionados a validações de métodos na matriz do tomate, incluindo tomates in natura e seus respectivos produtos. A técnica de detecção dos resíduos de agrotóxicos mais utilizada nesse período é a cromatografia acoplada à espectrometria de massas - MS. Apenas três artigos retrataram a determinação de agrotóxicos em produtos processados do tomate. Esta revisão ressalta o quanto é importante a realização de pesquisas voltadas para produtos processados do tomate e reavaliar os valores permitidos para cada legislação, visando a exposição dos consumidores aos níveis mais baixos dos resíduos.
Research on Physical Layer Encryption Technology of HST 5G communication system with spatial permutation modulation
Authors: Yi Lingzhi , Jiang Peng , Liao Huan , Fan Chaodong , Li Wang , Feng Xiaodong 
Published: May 2021

Abstract
In high-speed train (HST) communication, the application of 5G technology is of great importance. The massive multi-input multi-output (massive MIMO) technology in HST communication has advantages, but there are problems of inter-channel interference and multiple antennas synchronization. Spatial modulation has been widely used as a technology to solve this problem. In order to ensure the security of the HST wireless communication system, a hyperchaotic antenna-index spatial permutation modulation (HASPM) is proposed by combining chaos theory on the basis of spatial modulation technology. Aiming at the problem of reduced spectrum efficiency in traditional encryption algorithms due to pre-shared keys, channel information and noise interference, the proposed HASPM physical layer encryption scheme can improve above shortcomings on the basis of secure communication. The multipath fading effect is reduced, the bit error rate (BER) performance is greatly improved, and the system security and reliability are thus guaranteed. The evaluation results of calculation analysis and simulation on the scheme verified the feasibility and effectiveness of the proposed scheme.
Noise Immune Dielectric Modulated Dual Trench Transparent Gate Engineered MOSFET as a Label Free Biosensor: Proposal and Investigation
Authors: SEN DIPANJAN , De Arpan , Goswami Bijoy , Shee Sharmistha , Sarkar Subir Kumar 
Published: May 2021

Abstract
In this work, we have examined and proposed a dielectrically modulated biosensor based on the dual trench transparent gate engineered MOSFET (DM DT GE-MOSFET) for label-free detection of biomolecules with enhanced sensitivity and efficiency. Different sensing parameters such as the ION/IOFF, threshold voltage shift have been evaluated to validate the sensing metric for the proposed device. Additionally, the SVth (Vth Sensitivity) has been also analyzed by considering the charged (positive and negative) biomolecules. In addition to this, the RF sensing parameters such as the transconductance gain and cut-off frequency have been also taken into account to provide a better insight into the sensitivity analysis of the proposed device. Furthermore, the linearity, distortion and noise immunity of the device has been evaluated to check the overall performance of the biosensor at high frequency (GHz). Moreover, the results indicate that, the proposed biosensor exhibits a SVth of 0.68 for the positively charged biomolecules at a very low drain bias (0.2 V). Therefore, the proposed device can be used as an alternative to the conventional FET-based biosensors.
Meta-Analysis: A Comparison of Aspirin and Rivaroxaban for Prophylaxis of Venous Thromboembolism After Hip or Knee Arthroplasty.
Authors: Haque Md Ariful , Ying Xiong , Jami Sayed Abdulla , YunFeng Ren , Mobarak Siam Al , Jiayu Xiao 
Published: May 2021

Abstract
Purpose: Knee arthroplasty and hip arthroplasty (THA) patients are susceptible to post-operative venous thromboembolism(VTE). Doctors are increasingly recommending the application of different thromboprophylaxis agents such as rivaroxaban. The agents are primarily effective in preventing thromboembolism after hip and knee arthroplasty. Similarly, recent research suggests aspirin as one of the cost-effective interventions for preventing thromboembolism. Accordingly, this meta-analysis aims to compare the effectiveness of Aspirin against Rivaroxaban for the prevention or treatment of thromboembolism following knee arthroplasty and knee arthroplasty.Methods: The researcher relied on electronic searches of about five databases. The database searches identified relevant studies used to extract meta-analyzed data and information. The databases included PubMed, Cinahl, Medicine, Cochrane Database of Systematic Reviews(CDSR), Pharma GKB, SAGE, from inception to December 2020.Results: Different studies from the five databases we are included in this study. The studies include 2257 in the aspirin group and 2337 in the rivaroxaban group. The result revealed no significant difference between Aspirin and Rivaroxaban for the treatment of venous thromboembolism.Conclusion: The meta-analysis result affirmed no statistically significant difference between Aspirin and Rivaroxaban in preventing venous thromboembolism, a joint arthroplasty, or hip fracture surgery. However, some health care professionals find aspirin a more effective, safe, convenient, and affordable alternative for preventing venous thromboembolism. Thus the meta-analysis recommends extensive randomized studies to confirm the stipulated outcomes.
Using BTA Algorithm for Finding Nash Equilibrium Problem Aiming the Extraction of Rules in Rule Learning
Authors: Boudaghi M. , Mahan F. , Isazadeh A. 
Published: May 2021

Abstract
It is crystal clear that discovering the rules for finding a specific pattern among given data for extraction of association rules and rule-based learning systems has been defined. There is much research that make use of game theory for the processes contributing to discovery of rules. In recent years, modeling based on game theory in rule learning sphere has gained much more attention by computer scientists. When there is independence between the strategies used by two or more different players the strategy game modeling could be used. In this view, strategic play is a desirable model for situations with no permanent strategic relationship among interactions. In addition, Nash equilibrium is the most widely used solution concept in game theory. This concept is a state-of-the-art interpretation of a strategy game. Each player has an accurate prediction of other players' behavior and acts according to such a rational prediction. In the present study, by extracting rules from frequent patterns we have presented a model that can extract learning rules by abstraction based on game theory, which can be used not only for association rules but also for rule-based learning systems. Also, the introduced method can be easily generalized to fuzzy data. To Find Nash Equilibrium (FNE) in the proposed method, we used meta-heuristic Bus Transportation Algorithm (BTA).The results indicated that the method reduces computational complexity in the associate rule discovery process and rule learning, provided that FNE is solved.
All-Cause Mortality And Cardiovascular Events In A Spanish Nonagenarian Cohort According To Type 2 Diabetes Mellitus Status And Established Cardiovascular Disease
Authors: Salinero-Fort MA , Mostaza-Prieto J , Lahoz-Rallo C , Cárdenas-Valladolid J , Vicente-Díez JI , Gómez-Campelo P , de Miguel-Yanes JM 
Published: May 2021

Abstract
Background: To analyze all-cause mortality and cardiovascular events in nonagenarians from a Mediterranean population.Methods: Primary Health Care (265 health centres)Participants: Primary health records of all the nonagenarians living in the Community of Madrid (N=59,423). We defined 4 groups according to prevalent type 2 diabetes mellitus and established cardiovascular disease: (1) type 2 diabetes mellitus (-), cardiovascular disease (-); (2) type 2 diabetes mellitus (-), cardiovascular disease (+); (3) type 2 diabetes mellitus (+), cardiovascular disease (-); and (4) type 2 diabetes mellitus (+), cardiovascular disease (+). Follow-up time was 2.5 years. Primary outcome: Cumulative incidence and the density incidence rates of all-cause mortality, non-fatal myocardial infarction, non-fatal stroke (combined they constituted the first composite primary outcome (CPO1)), and heart failure (similarly, combined with the previous they constituted CPO2). We evaluated the adjusted effect of groups classification on all-cause mortality (Cox regression). Results. Mean age was 93.3±2.8 years; 74.2% were women. Hypertension, dyslipidemia, heart failure, albuminuria and estimated glomerular filtration rate <60 mL/min/1.73m2 were significantly more prevalent in group 4 (type 2 diabetes mellitus (+), cardiovascular disease (+)) than in the other groups (all p values <0.001). We observed significantly higher rates of cumulative incidence of all-cause mortality, CPO1 and CPO2 in participants belonging to group 4 (all p values ≤0.001). People in group 2 (type 2 diabetes mellitus (-), cardiovascular disease (+)) presented higher rates of all-cause mortality, heart failure, CPO1 and CPO2 than people in group 3 (type 2 diabetes mellitus (+), cardiovascular disease (-)) (all p values ≤0.001). In the fully-adjusted model, prevalent type 2 diabetes mellitus plus established cardiovascular disease (group 4) independently predicted all-cause mortality (HR=1.48 (95% CI, 1.40 to 1.57) as compared to reference group 1 (type 2 diabetes mellitus (-), cardiovascular disease (-)) (p <0.01). Also, cardiovascular disease and type 2 diabetes mellitus alone showed significant HRs (1.13 and 1.14, respectively; both p values <0.01)).Conclusions. In Spanish nonagenarians, established cardiovascular disease and type 2 diabetes mellitus conferred modest all-cause mortality risks. The concurrent presence of both conditions conferred the highest all-cause mortality risk.
Damage Analysis of Chemically Corroded Sandstone Under Cyclic Impact and Static Axial Pressure
Authors: Zhao Zhuyu , Xue Jinchun , JIN Jiefang , Tan Li , Cai Ruoyan , Xia Wenbin 
Published: May 2021

Abstract
To explore the influence of cyclic impact and axial pressure on the damage of chemically corroded sandstone, a series of cyclic impact tests were carried out on white sandstone by using Split Hopkinson Pressure Bar. The longitudinal sections and fractures of samples were observed with the scanning electron microscope. The aim was to investigate the damage characteristics and structural changes of sandstone, that subjected to the coupling of force and chemistry. The results show that: (1) When pH of solution is 7, the total cyclic impact number and stress peak of specimens both became larger, and the rock samples responded with a significantly high resistant strength. (2) The stress wave transmission coefficient of sandstone decreases gradually with the increase of the number of cyclic impacts, while the reflection coefficient shows a tendency of" decreasing first and then increasing". (3) Cylindrical specimens with a certain axial pressure present an "X" shaped conjugate failure under cyclic impact. When axial pressure is too large or excessive impact, the "X" shaped conjugate undergoes shear to a state of broken cone. (4) The vertical section and fracture surface damage degree of white sandstone soaked in Na2SO4 solution is more serious than that in NaCl solution.
Research on Roof Fracture Characteristics of Gob-Side Entry Retaining with Roof Cutting and Non-Pillar Mining in Thick Coal Seam, China
Authors: Zhu Lei , Zhao Mengye , Huang Qingxiang , Xu Kai , Wu Yuyi , Gu Wenzhe 
Published: May 2021

Abstract
Based on the S1201-2 large height mining in the 2-2 coal seam of Ningtiaota colliery with on-site microseismic measurement, physical simulation and theoretical analysis methods, this paper explores the rule of roof movement in thick coal seams with roof cutting and non-pillar (hereinafter referred to as RCN-P) mining, so as to obtain scientific and effective theoretical basis for entry support and to summarize the regional structural characteristics and dynamic periodic fracture characteristics. As can be seen from microseismic events, the entry roof is featured by "two zones and one line" along the horizontal direction, namely, the crack generation area, the roof movement area. Additionally, and the obvious lateral breaking of the entry roof on the coal wall is a typical feature of the thick coal seam with RCN-P mining. The roof is vertically divided into "three zones", the crack generation area, the roof movement area and the crack development area. The roof cutting activity mainly affects the overburden activity within the basic roof height range, which is also the roof movement area. In addition, the distribution frequency and the intensity of microseismic events indicate the roof periodic breaking characteristics. The "breaking pressure relief,” “advanced crack development,” and “the limit breaking state” of roof breaking corresponds to the initial, middle, and final stage of breaking in the periodic weighting process, respectively. Compared with the normal mining, the RCN-P mining reduces the periodic weighting length and increases the pressure strength. As is shown in the physical simulation experiment, the basic roof and the cutting control layer in the "regional structural characteristics" constitute the “large” and “small” structures with RCN-P mining. The basic roof key layer is the core to control the stability of the strata, and the breaking process from the cantilever beam to the short masonry beam of the roof-cutting control layer is the main cause of the entry stress. Correspondingly, the basic structure model of “short masonry-hinged” roof was proposed and the calculation method of support was established for the entry with RCN-P mining in thick coal seam, providing a research foundation for scientific and effective rock formation control.
A Saturated-unsaturated Coupling Model for Groundwater Flowing into Seepage Wells: A Modeling Study for Groundwater Development in River Basins
Authors: Ke Xianmin , Wang Wei , Xu Xiangdong , Li Jinlong , Hu Haiyang 
Published: May 2021

Abstract
As a major and popular groundwater extraction structure, seepage wells are often used to transfer river water into aquifers for harvesting water resources. It can help ameliorate the imbalance between supply and demand, especially in areas of water shortage. Large drawdowns due to pumping may cause the river to disconnect from the groundwater and to form an unsaturated zone, which seriously affects the efficiency of seepage wells. However, most of the current models of extraction structures of non-tube wells only account for saturated flow and do not consider unsaturated conditions. To address this limitation, a saturated-unsaturated coupling model has been developed using the exchange flow rate between the well pipe and the aquifer as the coupling point. Moreover, the model was evaluated with physical simulation test data. The statistical results indicated that the model can estimate the drawdown and pumping rate well with root-mean-square deviations (RMSD) of 0.0114 m and 0.0079 L/s, respectively, for a river with strong leakage capacity, and 0.0129 m and 0.0099 L/s, respectively, for a river with weak leakage capacity. The critical drawdown, where the river disconnects from the aquifer, as well as variations of the unsaturated zone, is also discussed. The present study provides important information for the design of seepage wells with reasonable drawdown while being able to predict the potential water yield, and at the same time help protect the groundwater environment.
Effects of E-Waste Exposure on Biomarkers of Coronary Heart Disease (CHD) and their Associations with Level of Heavy Metals in Blood
Authors: Wang Ziye , Xue Kaibing , Wang Zhanshan , Zhu Xiaojing , Guo Chen , Qian Yan , Li Xiaoqian , Li Zhigang , Wei Yongjie 
Published: May 2021

Abstract
Excess heavy metals increase the risk of various diseases. Electronic waste (e-waste) is a potential route to heavy metal exposure, and Taizhou is a large e-waste dismantling area in China. In this study, we acquire blood samples from residents living near an e-waste recycling area (exposed group) and other residents in a selected reference area (reference group) for a comparative study in Taizhou in December 2017. Seven heavy metals, including cobalt (Co), nickel (Ni), cadmium (Cd), tin (Sn), copper (Cu), zinc (Zn), and lead (Pb) are quantitatively determined in all blood samples. It is discovered that the levels of Co, Ni, Sn, and Pb in the exposed group are higher than those in the reference group. Additionally, two crucial biomarkers of coronary heart disease (CHD), i.e., troponin (Tn) and myeloperoxidase (MPO), and two biomarkers of oxidative stress, i.e., malondialdehyde (MDA) and 8-isoprostane (8-I), are measured. We discovered that the levels of these indicators in the exposed group are significantly higher than those in the reference group. Meanwhile, both the Spearman correlation and multiple linear regression analysis show that Ni is positively correlated with Tn, MPO, 8-I, and MDA. Hence, we hypothesize that exposure to e-waste increases the risk of CHD, and that Ni is an important contributor to the initiation of the disease.