Avaliação de cascas de castanha e resíduos de café como material de enchimento do adesivo fenol-formaldeído para a produção de compensados

Chestnut fruit shell and ground coffee waste were evaluated as filler raw materials for plywood adhesive. A phenol-formaldehyde (PF) resin was formulated in the laboratory for plywood manufacture. Specification characteristics were determined on the PF resin, including nonvolatile solids, gel time, viscosity, etc. The laboratory synthesized PF resin was mixed with extender, filler and NaOH. Plywoods were uniformly made with the PF resin mixture and tested for tension shear strength after aging method, modulus of rupture (MOR) and thickness swell according to the procedures of the Korean Standard KS F 3101 and KS F 3114. All plywood made with each filler type showed good physical and mechanical strength properties. The performance test results indicated that the chestnut fruit shell and ground coffee waste would be suitable as filler for plywood adhesive.A casca da castanha e resíduos de café moído foram avaliados como material de enchimento para produção de adesivo para compensados. Uma resina de fenol-formaldeído (FF) foi formulada em laboratório para fabricação de compensados. As propriedades da resina FF foram sólidos não voláteis, tempo de gelatinização (gel time),viscosidade, etc. A resina FF sintetizada em laboratório foi misturada com extensor, carga e NaOH. Os compensados foram feitos de maneira uniforme com a mistura de resina FF e testados quanto à resistência ao cisalhamento, módulo de ruptura (MOR) e inchamento em espessura, de acordo com as normas coreanas KS F 3101 e KS F 3114. Todos os compensados fabricados com cada tipo de carga apresentaram boas propriedades de resistência física e mecânica. Os resultados dos testes de desempenho indicaram que a casca da castanha e os resíduos de café moído são adequados como carga para produção de adesivo para fabricação de compensados

Comparisons of ELISA and Western blot assays for detection of autophagy flux

We analyzed autophagy/mitophagy flux in vitro (C2C12 myotubes) and in vivo (mouse skeletal muscle) following the treatments of autophagy inducers (starvation, rapamycin) and a mitophagy inducer (carbonyl cyanide m-chlorophenylhydrazone, CCCP) using two immunodetection methods, ELISA and Western blotting, and compared their working range, accuracy, and reliability. The ELISAs showed a broader working range than that of the LC3 Western blots (Table 1). Table 2 showed that data value distribution was tighter and the average standard error from the ELISA was much smaller than those of the Western blot, directly relating to the accuracy of the assay. Test-retest reliability analysis showed good reliability for three individual ELISAs (interclass correlation, ≥ 0.7), but poor reliability for three individual Western blots (interclass correlation, ≤ 0.4) (Table 3). Keywords: Autophagy, Mitophagy, ELISA, Western blot, Skeletal muscl

Preparation and characterization of spray-dried valsartan-loaded Eudragit® E PO solid dispersion microparticles

AbstractThe purpose of this study was to develop the immediate release stomach-specific spray-dried formulation of valsartan (VAL) using Eudragit® E PO (EPO) as the carrier for enhancing dissolution rate in a gastric environment. Enhanced solubility and dissolution in gastric pH was achieved by formulating the solid dispersion using a spray drying technique. Different combinations of drug–polymer–surfactant were dissolved in 10% ethanol solution and spray-dried in order to obtain solid dispersion microparticles. Use of the VAL–EPO solid dispersion microparticles resulted in significant improvement of the dissolution rate of the drug at pH 1.2 and pH 4.0, compared to the free drug powder and the commercial product. A hard gelatin capsule was filled with the VAL–EPO solid dispersion powder prior to the dissolution test. The increased dissolution of VAL from solid dispersion microparticles in gastric pH was attributed to the effect of EPO and most importantly the transformation of crystalline drugs to amorphous solid dispersion powder, which was clearly shown by scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and powder X-ray diffraction (P-XRD) studies. Thus, VAL, a potential antihypertensive drug in the form of a solid dispersion microparticulate powder, can be effectively delivered in the immediate release dosage form for stomach-specific drug delivery

Single-Copy Certification of Two-Qubit Gates without Entanglement

A quantum state transformation can be generally approximated by single- and two-qubit gates. This, however, does not hold with noisy intermediate-scale quantum technologies due to the errors appearing in the gate operations, where errors of two-qubit gates such as controlled-NOT and SWAP operations are dominated. In this work, we present a cost efficient single-copy certification for a realization of a two-qubit gate in the presence of depolarization noise, where it is aimed to identify if the realization is noise-free, or not. It is shown that entangled resources such as entangled states and a joint measurement are not necessary for the purpose, i.e., a noise-free two-qubit gate is not needed to certify an implementation of a two-qubit gate. A proof-of-principle demonstration is presented with photonic qubits.Comment: 8 pages. arXiv admin note: text overlap with arXiv:1812.0208

Comparative analysis of multiple classification models to improve PM10 prediction performance

With the increasing requirement of high accuracy for particulate matter prediction, various attempts have been made to improve prediction accuracy by applying machine learning algorithms. However, the characteristics of particulate matter and the problem of the occurrence rate by concentration make it difficult to train prediction models, resulting in poor prediction. In order to solve this problem, in this paper, we proposed multiple classification models for predicting particulate matter concentrations required for prediction by dividing them into AQI-based classes. We designed multiple classification models using logistic regression, decision tree, SVM and ensemble among the various machine learning algorithms. The comparison results of the performance of the four classification models through error matrices confirmed the f-score of 0.82 or higher for all the models other than the logistic regression model

The usefulness of serum delta neutrophil index for differentiating bacterial and viral meningitis in the emergency department

Objective When managing patients with acute meningitis in an emergency department (ED), early diagnosis of the type of infection (bacterial or viral) considerably affects the clinical course and treatment because of the high mortality and morbidity associated with bacterial meningitis (BM). The serum delta neutrophil index (DNI), a new inflammatory marker, reflects the fraction of circulating immature granulocytes and is elevated in cases of bacterial infection. The objective of this study was to evaluate whether serum DNI can be used to differentiate between BM and viral meningitis (VM) in the ED. Methods This retrospective, observational study included 104 consecutive patients (aged >18 years) diagnosed with acute meningitis from January 2012 to November 2014 in a regional emergency center. White blood cell and neutrophil counts, C-reactive protein level, and DNI were evaluated regarding their usefulness for differentiating BM and VM. Results Serum DNI was not significantly higher in the BM group (n=12) than in the VM group (n=92) (0 [interquartile range, 0% to 2.73%] vs. 0 [interquartile range, 0 to 0%], P=0.057). However, the white blood cell count and C-reactive protein level were statistically higher in the BM group (P=0.034 and P=0.026, respectively). Serum DNI was not found to be a statistically useful differential diagnostic parameter (area under the curve, 0.628; 95% confidence interval, 0.438 to 0.818). Conclusion Currently, there is no evidence that the serum DNI aids in differentiating acute BM from acute VM in the ED. Keyword