Effect of Nozzle Length on Breakup Length of Liquid Jet

Although the stability of Newtonian liquid jet has been investigated experimentally and theoretically, many problems has remained unsolved. Especially, the stability of liquid jets in immiscible liquid systems has been little studied. Furthermore, one has to point out that the stability of jets may be influenced by the turbulence in the nozzle and the velocity profile. This work presents the experimental result about the effect of the nozzle length on the breakup length of liquid jets in the air and in the immiscible liquid, as the beginning of a systematic investigation of the influence by these factors on the breakup of jet. The dependence of the initial amplitude of surface disturbances on the nozzle geometry is presented for evaluating the effect of the nozzle length on the breakup length of laminar liquid jet in the air and in the immiscible liquid

Drop Formation in Immiscible Liquid Systems under Condition of Mass Transfer

The drop formation in immiscible liquid-liquid systems under mass transfer conditions was experimentally investigated. To know the exact effact effect of mass transfer on drop sizes, the decrease of interfacial tensions due to the presence of solutes has to be evaluate. Interfacial tensions of liquid pairs were measured with a Wilhelmy method as a function of the relative amounts at which both the solution and the solvent were mutually saturated. The interfacial tensions between the liquid pairs mutually saturated at on equal amount were found to be appropriate for the prediction of the drop formation accompanying mass transfer

Double Q2Q^2-rescaling model and the nuclear effect of the parton distribution functions

In order to overcome the shortcoming of nonconservation of nuclear momentum existing in the original $Q^2$-rescaling model(O$Q^2$RM) and avoid introducing nuclear shadowing factor, we proposed a double $Q^2$-rescaling model(D$Q^2$RM) for the parton distributions of the bound nucleon. Using the experimental data of lepton-nucleus deep inelastic scattering(DIS) and the condition of the nuclear momentum conservation, the $Q^2$-rescaling parameters of various partons for Sn, Fe, Ca and C nuclei are determined. The rescaling parameters of valence quark distributions are larger than unity and graduauly increases with atomic number A, on the contrary, the rescaling parameters of sea quark distributions and gluon distributions are smaller than unity, and slowly decreases with A. By using this model, the experimental data of the DIS process, the nuclear Drell-Yan process and $J/\psi$ photoproduction process are consistently and quite satisfactorily explained. Key words --- parton distribution functions, Nuclear effect, Double $Q^2$-rescaling model.Comment: 15 pages, 4 figures (to be published in Z. Phys. C

Decontamination of Waste-water by Metal Phthalocyanines Encapsulated in Polymeric Microcapsules

Polymeric microcapsules encapsulating iron phthalocyanine (Fe-Pc) and zinc phthalocyanine (Zn-Pc) were successfully prepared in this study. Absorption spectra of polymeric microcapsules encapsulating metal phthalocyanines were measured in visible light range. It was expected from the results that the polymeric microcapsules encapsulating metal phthalocyanines showed high photocatalytic activity upon irradiation with visible light such as sunlight. The catalytic and phtocatalytic activities of encapsulated Fe-Pc and Zn-Pc were investigated in the decomposition of methylene blue in water. The encapsulatedd Fe-Pc with H(2)O(2) exhibited a high catalytic activity. Methlene blue was efficiently decomposed by interaction of Fe-Pc with H(2)O(2)

Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

Many renal cancers are incidentally found on non-contrast CT (NCCT) images. On contrast-enhanced CT (CECT) images, most kidney tumors, especially renal cancers, have different intensity values compared to normal tissues. However, on NCCT images, some tumors called isodensity tumors, have similar intensity values to the surrounding normal tissues, and can only be detected through a change in organ shape. Several deep learning methods which segment kidney tumors from CECT images have been proposed and showed promising results. However, these methods fail to capture such changes in organ shape on NCCT images. In this paper, we present a novel framework, which can explicitly capture protruded regions in kidneys to enable a better segmentation of kidney tumors. We created a synthetic mask dataset that simulates a protuberance, and trained a segmentation network to separate the protruded regions from the normal kidney regions. To achieve the segmentation of whole tumors, our framework consists of three networks. The first network is a conventional semantic segmentation network which extracts a kidney region mask and an initial tumor region mask. The second network, which we name protuberance detection network, identifies the protruded regions from the kidney region mask. Given the initial tumor region mask and the protruded region mask, the last network fuses them and predicts the final kidney tumor mask accurately. The proposed method was evaluated on a publicly available KiTS19 dataset, which contains 108 NCCT images, and showed that our method achieved a higher dice score of 0.615 (+0.097) and sensitivity of 0.721 (+0.103) compared to 3D-UNet. To the best of our knowledge, this is the first deep learning method that is specifically designed for kidney tumor segmentation on NCCT images.Comment: Accepted in MICCAI 202

Bimodal fingerprint capturing system based on compound-eye imaging module

This paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://dx.doi.org/10.1364/AO.43.001355 Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law

Emulsification Properties of Poly(lactide-block-ethylene glycol-block-lacticide) Block Polymers

Homo-and copolymers of poly(lactic acid) have gathered much attention because of their biodegradability and biocompatibility. They have numerous applications in the biomedical field due to their potential. In their polymers, we are interested in poly(lactic acid)-poly(ethylene glycol) block polymers. The amphiphilic triblock copolymers, poly(DL-lactic acid)-poly(ethylene glycol)-poly(DL-lactic acid)(PLEL), have known to be surface-active ability. Therefore, we have studied emulsification properties with the polymers. PLEL were prepared by ring-opening copolymerization of DL-lactide and poly(ethylene glycol) catalyzed by stannous 2-ethylhexanoate. We prepared ethyl acetate-water-PLEL emulsion and applied this emulsion to biodegradable polymer scaffolds. PLA scaffolds were prepared by an emulsion freeze-drying method. These scaffolds were made by varying water weight fraction. Their surface pore size became larger with increasing water weight fraction

Preparation of Biodegradable Polymer Microcapsules Enclosing Anti-mite Agent

Many kinds of mite was caused by allergy and sick house syndrome, so it has become one of the social problems. Farnesyl acetone is one of the most potent anti-mite agent. However the vapor pressure of farnesyl acetone is high even at room temperature. This indicates the anti-mite effect has not been sustained even though the agent has strong anti-mite effect. In this study, we attempted to prepare polylactide microcapsule with farnesyl acetone for the purpose of sustainable dosage form of anti-mite agent. Microcapsule was prepared by solvent evaporation, which was a method of microencapsulation. The effects of preparation conditions on the enclosing efficiency, the release of microcapsule and anti-mite effect of microcapsule were investigated