Fruit juice–alcohol mixture analysis using machine learning and electronic nose

The aim of this study is to analyze the raw data collected from a fruit juice–alcohol mixture (a fruit juice–alcohol mixture and a fruit juice–multiple alcohol mixture) and the Halal authentication of a fruit juice–alcohol mixture with electronic nose. Machine learning techniques such as naïve Bayesian classifier, K‐nearest neighbors (K‐NN), linear discriminant analysis (LDA), decision tree, artificial neural network (ANN), and support vector machine (SVM) were used to classify the feature of these collected raw data. There are three types of classification: the first one is a fruit juice and an alcohol mixture type; the second is a fruit juice and multiple alcohol mixture types, and the third is a Halal authentication of a fruit juice and alcohol mixture. We aimed at making cocktails with more successful results on the first two types of classification in the work. Also, we focused on Halal authentication of fruit juice–alcohol mixture in the third classification. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

Effects of electrospraying parameters on deposition of La0.3Sr0.7Fe0.7Cr0.3O3−δ cathode layer on GDC

High performance in intermediate temperature solid oxide fuel cells requires improvements especially in the microstructure of the cathode layer. New cobalt-free cathode materials are used because cobalt-containing cathodes have higher thermal expansion coefficients, poor long-term chemical stability, and lower mechanical stability. Recently cobalt-free cathodes have been proposed to solve these issues by using deposition methods other than electrospray deposition (ESD). In this study, ESD method is used to develop a cobalt-free cathode layer. The electrolyte layer is gadolinium-doped ceria that is deposited with La_0.3Sr_0.7Fe_0.7 Cr_0.3O_3−δ (LSFCr) prepared by 2-butoxyethanol and ethylene glycol solvents as opposed to conventional solvents. Experimental ESD parameters are tested at different levels and combinations by applying statistical experimental design methods to optimize the microstructure. Coating deposited as such demonstrated higher electrochemical performance than similar electrodes fabricated by other methods.     

Amphiphilic Fullerene-BODIPY Photosensitizers for Targeted Photodynamic Therapy

Nanotheranostic tailor-made carriers are potent platforms for the treatment of cancer that propound a number of advantages over conventional agents for photodynamic therapy (PDT). Herein, four new heavy atom free amphiphilic glucose-BODIPY-fullerene dyads ( 14 – 17 ) endowed with carbohydrate units in the styryl units, which can also form nanomicelles ( 14 – 17NM) with Tween 80 for PDT are reported. Glucose-BODIPY-fullerene systems ( 14 – 17 ) and related nanomicelles ( 14 - 17NM ) have been prepared to emcee efficient singlet oxygen generation upon light irradiation. In vitro anti-tumor effects of the compounds 14 – 17 and 14 – 17NM in the presence of light and in darkness have been investigated with K562 human chronic myelogenous leukemia suspension cells. Anti-tumor toxicity upon light irradiation was due to the formation of singlet oxygen and reactive oxygen species (ROS). This study may provide an accomplished example of efficient PDT applications based on nanovehicles fabricated with universal spin converter, fullerene, light harvesting unit, BODIPY dyes conjugated with targeting units to fight against cancer.     

The effect of air conditioning positions,air conditioning fluid speed,and temperature on thermal comfort in the truck cabin

The effects of air conditioning parameters in the truck cabin on thermal comfort were numerically investigated using ANSYS. Air conditioner positions, fluid velocities coming out of air conditioner vents, and outlet temperatures of the fluid were determined. In the analysis, three different air conditioning positions, three different temperatures, and six different speeds were used. Predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD) values were calculated according to the results obtained. The best average PMV was found in position 2 with −0.055781108, whereas the worst average PMV was found in position 3 with −1.112957448. The best average PPD value was found in position 2 with 5.12, and the worst average PPD value was found in position 3 with 31.63. In addition to PMV graphics, temperature and velocity distributions in the truck cabin are given with contour graphics. All the data obtained were evaluated together to determine the best combination.