Numerical Analysis on Color Preference and Visual Comfort from Eye Tracking Technique

Color preferences in engineering are very important, and there exists relationship between color preference and visual comfort. In this study, there are thirty university students who participated in the experiment, supplemented by pre- and posttest questionnaires, which lasted about an hour. The main purpose of this study is to explore the visual effects of different color assignment with subjective color preferences via eye tracking technology. Eye-movement data through a nonlinear analysis detect slight differences in color preferences and visual comfort, suggesting effective physiological indicators as extensive future research discussed. Results found that the average pupil size of eye-movement indicators can effectively reflect the differences of color preferences and visual comfort. This study more confirmed that the subjective feeling will make people have misjudgment

An Integrated Service-Oriented Development Platform for Realization of e-Business Systems

Enterprises need to be responsive to meet dynamic businesses and requirements. Service-oriented architecture can improve e-Business applications in integration and flexibility. Therefore, service-oriented architecture has been envisioned as an appropriate computational paradigm for e-business applications. This paper proposes a multi-model driven collaborative development platform for building service-oriented e-Business systems. The platform supports service-oriented software engineering and application developments. It employs three views, i.e., business view, process view, and service view to support business and technical consultants’ operations. Consultants can collaborate from distributed sites of, e.g., clients and IT vendors to provide their clients’ with rapid system development and demonstration. The proposed platform is service-oriented and driven by three models, i.e., service meta-model, process model and business model. All of these three models are supported by a semantic reasoning engine to facilitate intelligent service discovery, process execution and business-business integration. A simple example has been used to demonstrate its functionality

Enhancing crispr-mediated CHO cell antibody productivity through concentrated fed- batch or continuous perfusion

Integrated continuous bioprocessing technology has high productivity and cost saving benefit, which combines the upstream (Cell culture) and downstream (Purification) processing. The continuous bioprocessing based biopharmaceutical manufacturing is more profitable than traditional batch/fed-batch processing in increasing quality and quantity. The goal of this study focuses on the upstream continuous process development with crispr-mediated targeted gene integration CHO cell line producing monoclonal antibody. In the upstream processing, we developed concentrated fed-batch culture (CFB) and high density perfusion culture in 2-5 L bioreactor with a cell retention device (alternating tangential flow, ATF). With our concentrated fed-batch culture system, the VCD achieved 8.4x107 cells/m in 11days operation with 1VVD producing antibody 3.3-fold that of fed-batch culture system; in the high density perfusion culture system, the VCD achieved 5x107 cells/ml in 28 days operation with 1 VVD producing antibody greater than 1g/L/day with on the Day10 and keep the cell density, viability and productivity more than 1 month

Bioprocess intelligent for the improvements and prediction on fed-batch cell culture in bioreactor

With advances in biotechnology, the antibody productivity is not the only issue in biopharmaceutical manufacturing; moreover, how to control the quality and quantity of antibody production in bioprocess has become prominent. In typical fed-batch cell culture, it is not easy to control the dynamic cultivation and feeding conditions. The study is to present an intelligent bioprocess make use of design of experiments (DOE) and multivariate data analysis (MVDA). In the culture medium optimization, we performed the medium screening with the DOE method in shake spin tubes and shake flasks. DOE provides a cost-effective methodology for medium development and optimization, and furthermore we utilized multivariate data analysis methodology to build up the fed-batch intelligence bioprocess in 5 L bioreactor. We analyzed mass data transferred from 5 L bioreactor process and established the fed-batch culture model with SIMCA software. Combination of the batch process and big data sets, we can be easy to do batch-to-batch comparison, cell culture profile prediction, and key parameter finding to improve the process performance with more steady product quality and less error. In this fed-batch culture model, we achieved more than 5 g/L cell productivity consistently and predictably in 5 L bioreactor cultivation with CRISPR-mediated targeted gene site-specific integration CHO cell line

Morphological stability in epitaxially strained films on a substrate with finite thickness

Abstract This paper investigates the morphological stability of epitaxial films growing heteroepitaxially on ultra-thin substrates. The misfitting strain model is incorporated into the quasi-static mechanical equilibrium system. The interfacial evolution equation between the vapour and film phases is used to solve the film evolution. The perturbation method of normal modes is used to derive the analytical form of the normal-mode growth rate. Additionally, this paper investigates the dynamic behaviour of the vapour-film interface. The results of the study show that a decrease in substrate thickness tends to stabilize the system regardless of whether the stiffness ratio, ρ (i.e. the ratio of film stiffness to substrate stiffness) is less than, equal to or greater than unity. Furthermore, it is found that the effects of a finite substrate thickness on the stability behaviour of the system are quite profound, and that this is particularly true when the film thickness is close to h c with values of stiffness ratio greater than unity

Using Sidereal Rotation Period Expressions to Calculate the Sun’s Rotation Period through Observation of Sunspots

We utilize sidereal rotation period expressions to calculate the sun’s rotation period via sunspot observation. From the well-known astronomical sites, we collected sunspot diagrams for 14 months, from January 2013 to February 2014, to analyze, compare, and implement statistical research. In addition to acquiring the average angular rate of the movement of sunspots, we found that even the same number of sunspots moved at different angular rates, and generally the life of larger sunspots is longer than 10 days. Therefore the larger sunspots moved around the back of the sun, and a handful of relatively smaller sunspots disappeared within a few days. The results show that the solar rotation period varied with the latitude. However, if we take the average of the sunspots at high and low latitudes, we find that the calculated value is very close to the accredited values

SERPINE2, an inhibitor of plasminogen activators, is highly expressed in the human endometrium during the secretory phase

<p>Abstract</p> <p>Background</p> <p>SERPINE2, also known as protease nexin-1, belongs to the serine protease inhibitor (SERPIN) superfamily. It is one of the potent SERPINs that modulates the activity of plasminogen activators (PAs). PAs and their SERPIN inhibitors, such as SERPINB2 and SERPINE1, were expressed in the human endometrium and were implicated in implantation. However, expression data about SERPINE2 in the human endometrium is still unknown. Thus, we conducted an investigation to reveal the spatiotemporal and cellular expression of SERPINE2 in the human uterus during the menstrual cycle.</p> <p>Methods</p> <p>Seven patients who underwent a hysterectomy and samples of 120 archived patients' endometrial curettage or parts of the uterus that were formalin-fixed and embedded in paraffin. Western blotting was performed to evaluate the specificity and sensitivity of the antibody. Immunohistochemistry was conducted to localize the SERPINE2 expression site. Quantitative analysis was conducted to evaluate expression levels of SERPINE2 in various sub-phases of the menstrual cycle.</p> <p>Results</p> <p>The SERPINE2 protein was primarily detected in the uterine fluid during the mid- and late-secretory phases of the menstrual cycle. It was predominantly expressed in the luminal and glandular epithelium, less in the myometrium, and only dispersedly in certain stromal cells throughout the menstrual cycle. A quantitative analysis of expression levels of SERPINE2 in the glandular epithelium revealed that it was highly expressed in the endometrium during the secretory phase compared to the proliferative phase.</p> <p>Conclusions</p> <p>The SERPINE2 protein is highly expressed in the endometrium during the secretory phase, indicating that it may participate in tissue remodeling involved in implantation.</p