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Effects of phosphorus and fenofibrate on lipid deposition, mitochondrial function and protein synthesis in obscure puffer (Takifugu obscurus)
Published 2024-02-01“…However, P0 + F treatment reversed these. Furthermore, P0 treatment was found to inhibit the mRNA levels of pparα, lpl and cyp7a1, whereas P0 + F treatment significantly increased the expression levels of these genes. …”
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The Lagrangian Stability for a Class of Second-Order Quasi-Periodic Reversible Systems
Published 2011-01-01“…We study the following two-order differential equation, (Φp(x'))'+f(x,t)Φp(x')+g(x,t)=0, where Φp(s)=|s|(p-2)s, p>0. f(x,t) and g(x,t) are real analytic functions in x and t, 2aπp- periodic in x, and quasi-periodic in t with frequencies (ω1,…,ωm). …”
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Bobinas de radiofrequência em estudos mamários por ressonância magnética: modelos e qualidade de imagem
Published 2009-11-01“…Procedeu-se a uma análise de variância factorial com cinco factores fixos sem réplicas e verificou-se que existiam diferenças significativas nas imagens relativamente aos valores médios da SNR e U nas três bobinas [SNR (valor-p=0, F=277,193) e U (valor-p=0, F=1487,95)]. A análise das comparações múltiplas de Tukey, permitiu verificar que existem diferenças significativas entre os valores médios da SNR e da U entre todas as combinações de pares de bobinas, sendo a bobina Z a que apresentou os valores médios da SNR e da U significativamente mais elevados [SNR (15,08u.a.) e U (0,58u.a.)] e, por isso, permitindo obter melhores imagens. …”
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Hfinger: Malware HTTP Request Fingerprinting
Published 2021-04-01“…For the developed solution, we have performed an extensive experimental evaluation using real-world data sets and we also compared Hfinger with the most related and popular existing tools such as FATT, Mercury, and p0f. The conducted effectiveness analysis reveals that on average only 1.85% of requests fingerprinted by Hfinger collide between malware families, what is 8–34 times lower than existing tools. …”
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Variability analysis of ABS solid fuel manufactured by fused deposition modeling for hybrid rocket motors
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Assessment on acute and multigenerational toxicity of 1,3-diphenylguanidine (DPG) on freshwater water fleas (Moina macrocopa): Developmental, reproductive and oxidative stress effe...
Published 2025-01-01“…Acute exposure revealed dose-dependent mortality increase with a significant reduction in Chronic exposure to a sub-lethal concentration of 0.5 mg/L DPG across four generations (P0, F1, F2, and F3) demonstrated substantial declines in reproductive output and growth metrics, alongside increased reactive oxygen species (ROS)activity and suppressed antioxidant enzyme activities, including, superoxide dismutase (SOD), catalase (CAT). …”
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Explorations of the quark substructure of the nucleon in lattice QCD
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MobiCoRE: Mobile Device Based Cloudlet Resource Enhancement for Optimal Task Response
Published 2018“…Given the arrival rate of λ, c cpu cores in cloudlet, maximum tasks in the cloudlet to be K and P0=f(λ c,K,μ) be probability of having no user in cloudlet, we derive the condition fracλ}{cK-cμ1000 for optimal average service time 1μ of cloudlet such that the mobile applications have maximum benefit for using cloudlet services. …”
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Radiological assessment of the inferior alveolar canal and mental foramen using cone beam computed tomography for pre-operative evaluation of surgeries in the mandible: A single-ce...
Published 2024-01-01“…Using one-way ANOVA tests, results showed that there were some differences in measures at P0 (F = 3.376, P-value = 0.003), P4 (F = 3.782, P-value = 0.001) on the right side, and at P3 (F = 5.620, P-value = 0.019) on the left side of the mandible. …”
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Transcriptomic analysis reveals decreased expression of detoxification genes in Caenorhabditis elegans exposed to mepanipyrim and cyprodinil: Implications for multigenerational exp...
Published 2024-11-01“…Utilizing Caenorhabditis elegans (C. elegans) as the model, the toxic effects and mechanisms were analyzed after Mep and Cyp exposure over four generations (P0-F3). The results showed that Mep and Cyp at concentrations over 0.1 µg/L affected the motility behavior, while 1.0 µg/L dosage and above inhibited the growth of C. elegans. …”
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DNA methylation 6 mA and histone methylation involved in multi-/trans-generational reproductive effects in Caenorhabditis elegans induced by Atrazine
Published 2023-01-01“…Furthermore, continuous ATR exposure (P0–F5) causes a significant increase in reproductive toxicity in subsequent generations, although no significant toxicity occurred in the P0 generation after exposure to environmental-related concentrations, suggesting that ATR exposure might have cumulative effects. …”
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Genetic Differentiation of the Broodstocks of Black Ear Catfish (Panggasius Larnaudii Bocourt, 1866)
Published 2006“…Presently, the P. larnaudii fingerlings are produced from ten DoF hatcheries with the broodstocks either from the wild (P0), F1 or F2 progenies some of which were transferred among the fisheries. …”
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Gender Differences in Students' Value System, Engagement, Social Competence, and Cognitive Styles
Published 2020-11-01“…Results Based on the results of the Manova test, material values (η² = 0.42, P <0.001, F = 25.231), cognitive competence (η² = 0.31, 0.001, P, F = 11/330), social competence (η = 0.38, P <0.001, F = 15,943), physical competence (η = 0.34, P <0.001, F = 1.134) male students obtained higher scores whilst in the components of cognitive enthusiasm (η = 0.28, P <0.05, F = 779.8), relationship with peers (emotional passion I) (η² = 0.32, P <0.001, F = 12.051 (1 and 148) ), behavioral desire (η² = 0.35, / 001 P> 0, F = 25.216), academic enthusiasm (η² = 0.39, P <0.001, F = 113) and modernist / researcher cognitive style (37 / 0 = η², P <0.001, F = 18.354 ) female students obtained higher scores. …”
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Effect of Eucheuma cottonii extract on interleukin-1 level and caspase-3 expression in borax-induced rat’s hepatocyte
Published 2022-06-01“…<img 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…”
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