Abstract. Miconazole (MIC), an antifungal agent, diplays anti-tumorigenic activity in various types of human cancers, including bladder cancer, yet its mechanism of antitumor action is not well understood. In the present study, we demonstrated that, in a cell viability assay, MIC had a cytotoxic effect on human T24, J82 and TSGH-8301 bladder cancer cells in a dose-and time-dependent manner, but did not exhibit significant toxicity toward human peripheral blood mononuclear cells. Cell cycle analysis revealed that MIC at concentrations of 25 and 50 µM significantly caused G0/G1 arrest in the TSGH-8301 and T24 cells, respectively. DNA fragmentation, mitochondrial membrane potential and western blot analyses showed that MIC inhibited the growth of these cells by both mitochondrial-mediated and death receptor (DR5)-mediated apoptosis pathways. Specifically, MIC increased the protein levels of p21 and p27, but decreased the expression of cyclin E1, CDK2 and CDK4. MIC augmented the expression of DR5, cleaved forms of caspase-3 -8 and -9, poly(ADP-ribose) polymerase and Bax, decreased the expression of Bcl-2 but increased cytosol levels of cytochrome c. Our results suggest that MIC inhibits the growth of bladder cancer cells through induction of G0/G1 arrest and apoptosis via activation of both the extrinsic and intrinsic apoptotic pathways. MIC is a potential chemotherapeutic agent for treating bladder cancer in humans.

are the two most influential developmental psychologists. Their contributions to the field of developmental psychology, though different, are still similarly remarkable and unique. In spite of such resemblances, there exists a crucial, and generally unnoticed, the difference between Piaget's and Vygotsky's theories, and that this difference underlies the way each author addresses the concept of cognitive development. In short, which theory is more correct? Throughout this paper, we will discover what informs both psychologists' theories, how they are similar, how they are different, and why they have both remained so prominent throughout educational textbooks. Although never in direct competition with each other, the theories developed by Piaget and Vygotsky are often used in contrast with one another, since both offer learning theories with a significant difference, but still impacting on understanding cognitive development.Ultimately, discovering that neither Piaget or Vygotsky's theory is actively correct, but both are highly important to be aware of when education early learners.

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In this study, machine vision technology was used to precisely position the highest energy of the laser spot to facilitate the subsequent joining of product workpieces in a laser welding machine. The displacement stage could place workpieces into the superposition area and allow the parts to be joined. With deep learning and a convolutional neural network training program, the system could enhance the accuracy of the positioning and enhance the efficiency of the machine work. A bi-analytic deep learning localization method was proposed in this study. A camera was used for real-time monitoring. The first step was to use a convolutional neural network to perform a large-scale preliminary search and locate the laser light spot region. The second step was to increase the optical magnification of the camera, re-image the spot area, and then use template matching to perform high-precision repositioning. According to the aspect ratio of the search result area, the integrity parameters of the target spot were determined. The centroid calculation was performed in the complete laser spot. If the target was an incomplete laser spot, the operation of invariant moments would be performed. Based on the result, the precise position of the highest energy of the laser spot could be obtained from the incomplete laser spot image. The amount of displacement could be calculated by overlapping the highest energy of the laser spot and the center of the image.

Osteoarthritis (OA) is a chronic degenerative joint disease associated with age, mechanical stress, and obesity. Echinacea purpurea is a medicinal plant that shows good anti-inflammatory, antioxidant, and immunomodulatory activities. In this study, Echinacea purpurea ethanol extract nanoparticles (Nano-EE) were prepared by encapsulating Echinacea purpurea ethanol extract (EE) in chitosan-silica nanoparticles. Obesity (OB) in Sprague-Dawley (SD) rats was induced by fed 40% high-fat diet and then anterior cruciate ligament and meniscus injury were performed to induce OA. The rats got different doses of samples by oral gavage. The encapsulation efficiency and loading capacity of Nano-EE were 69.1% and 36.1%, respectively. The average size, polydispersity index (PDI), and zeta potential (ZP) of the Nano-EE were 145 ± 11 nm, 0.24 ± 0.01, − 4.57 ± 0.44 mV, respectively. Furthermore, electron microscopic images showed that the particles were spherical and were slightly agglomerated. Moreover, it showed that the leptin content, expression of MMPs, cytokines level, NF-κB level, and iNOS production were decreased whereas collagen II expression was increased after treatment. Besides, Nano-EE ameliorated the pain caused by OA and reduced the proteoglycan loss in cartilage. These results indicated that encapsulated EE (Nano-EE) can ameliorate OA with a low dosage and are more effective than unencapsulated EE.