The chaotic late Qing and early Republican periods

This article excavates some of the core intellectual elements underlying the Xinhai Revolution of 1911 and their historical genealogies. Rather than focusing on the modern nature of the revolution, Mizoguchi locates the revolution within the context of traditional Chinese culture and thought. A central focus of the article is the notion of “self-governance” (zizhi), which played a central role in determining the shape the revolution was to ultimately take. It analyzes the social thought of key figures of the Qing period, showing how in modified guise, core Confucian ethical concepts such as the dichotomy between the private (si) and public (gong) as well as utopian concepts such as datong (great harmony) determined the deep structure of revolutionary thought at the end of the Qing and into the Republican and Communist periods.     

Let's Talk About Sex … Education

An important goal of any sexuality education program is to support youth and young adults to develop a positive self-image and develop competence and confidence in skills needed to express sexuality and develop positive relationships. For youth and young adults with disabilities, sexuality education is offered far less often than for their same aged peers without disabilities. This article describes a three-step process for developing specially designed instruction in sexuality education using principles of instructional design to meet the unique needs of students with disabilities.     

Using Extraction Experiment as a Tool for Teaching Scientific Process Skills

Laboratory work educates students about the ＂processes of science＂. But it is suggested that students＇ learning level is low because of limited application of science processes in their laboratory work. Extraction experiment was chosen as the topic since it allows students to apply many of their basic chemistry knowledge, and it can be readily to gain understanding of scientific proceses required for an investigation. This study has been carried out with 40 students who are in the first year of Science Teaching Division at Trakya University, Faculty of Education. These students were divided into two groups of the experimental group and the control group, each group containing 20 students. The students of the experimental group were given knowledge about basic scientific process skills, and a procedure in detail to follow was given. But the students of the control group was given a standard procedure. The students of both groups were asked about what and why they did while they were performing the laboratory investigation. We observed that the experimental group students used the basic process skills, understood the extraction experiment, and realized what and why they did from this activity better than the control group students. The control group students did not know why they did laboratory work and they tended to focus on completing the task rather than learning from it. We considered that the experience would be helpful for students to improve scientific process skills if the students successfully acquired procedural understanding. Students＂ scientific processskills will develop as long as they use the skills.     

Error analysis in fixed-point digital filters using sign-magnitude truncation

The quantization error of a digital filter employing fixed-point arithmetic with sign-magnitude truncation is analyzed. The effect of coefficient quantization is also included. Exact analyses are presented first for Gaussian, sinusoidal and Gaussian plus sinusoidal inputs. Quasi-linearization is then employed to yield a simple computation method of the output noise variance. The resulting expression contains parameters that depend on the input signal statistics. An upper bound is given that is independent of these statistics. Explicit expressions are given for the second-order sections of the digital filter realized in the D1 and D2 forms together with a general expression for the cascade connection of the second-order sections.     

A review on 3D printing functional brain model

Modern neuroscience increasingly relies on 3D models to study neural circuitry, nerve regeneration, and neural disease. Several different biofabrication approaches have been explored to create 3D neural tissue model structures. Among them, 3D bioprinting has shown to have great potential to emerge as a high-throughput/high precision biofabrication strategy that can address the growing need for 3D neural models. Here, we have reviewed the design principles for neural tissue engineering. The main challenge to adapt printing technologies for biofabrication of neural tissue models is the development of neural bioink, i.e., a biomaterial with printability and gelation properties and also suitable for neural tissue culture. This review shines light on a vast range of biomaterials as well as the fundamentals of 3D neural tissue printing. Also, advances in 3D bioprinting technologies are reviewed especially for bioprinted neural models. Finally, the techniques used to evaluate the fabricated 2D and 3D neural models are discussed and compared in terms of feasibility and functionality.     

Explicit design formulae for digital tan filters with low-pass,high-pass,band-pass,and band- stop characteristics

Explicit expressions of transfer functions for digital tan filters with low-pass, high-pass, band-pass, and band-stop characteristics approximating given design specifications are advanced. The higher order transfer function satisfying the design specification is expressed as the product of first-order and second-order filter sections of identical forms but with different coefficient values. All coefficients of these low-order filter sections are expressed in explicit forms related simply to the specification values. Thus, the result developed can be easily applied for the cascade or time-sharing realization. The low-order filter section developed here can be implemented with the fewest multipliers.The design formulae for Butterworth, Chebyshev, inverse Chebyshev and elliptic approximations are included. The transfer functions for all these filters are expressed in the same form of low-order filter section with different coefficient values.