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This paper aims to investigate the contents of heavy metals Cd, Cr, Ni, Cu, Pb and Zn in the soil of vegetable production bases in the Yongnian County of Hebei Province by random sampling.

The environmental quality conditions of these heavy metals were evaluated by both the single quality index and comprehensive quality index methods.

It was concluded that the average heavy metal contents in the soil of protected vegetable fields in the Yongnian County are all under the limit values prescribed by the environmental quality evaluation standard for farmland of greenhouse vegetables production (2007), so the soil’s environmental quality is classified as first class regarding cleanliness. It is fit for the plantation of non-polluted vegetables. It is shown that there is a cumulative trend of heavy metal contents in the soil with age after analysis of a correlation coefficient between heavy metal contents and age in Yongnian’s protected fields and excessive application of fertilizers or organic fertilizers, which is the main factor leading to an increase in heavy metal contents in the soil.

It is suggested that the amount of fertilizer should be properly reduced to prevent the soil’s environmental deterioration, the vegetable planting structure should be improved and the vegetables grown in areas with weaker accumulation of heavy metals should be cultivated.

This paper presents a new simplified text of some concepts of pansystems methodology and related applications to pedagogy, methods of teaching, study and creation, including certain principles of operations research, systems theory, cybernetics, etc.

This study aims to focus on roughening N-face (backside) GaN substrate prior to GaN-on-GaN light-emitting diode (LED) growth as an attempt to improve the LED performance.

The N-face of GaN substrate was roughened by three different etchants; ammonium hydroxide (NH4OH), a mixture of NH₄OH and H₂O₂ (NH₄OH: H₂O₂) and potassium hydroxide (KOH). Hexagonal pyramids were successfully formed on the surface when the substrate was subjected to the etching in all cases.

Under 30 min of etching, the highest density of pyramids was obtained by NH4OH: H₂O₂ etching, which was 5 × 10⁹ cm^–2. The density by KOH and NH₄OH etchings was 3.6 × 10⁹ and 5 × 10⁸ cm^–2, respectively. At standard operation of current density at 20 A/cm², the optical power and external quantum efficiency of the LED on the roughened GaN substrate by NH₄OH: H₂O₂ were 12.3 mW and 22%, respectively, which are higher than its counterparts.

This study demonstrated NH₄OH: H₂O₂ is a new etchant for roughening the N-face GaN substrate. The results showed that such etchant increased the density of the pyramids on the N-face GaN substrate, which subsequently resulted in higher optical power and external quantum efficiency to the LED as compared to KOH and NH₄OH.

Technological capabilities of manufacturing microelectromechanical system (MEMS) gyroscopes are still insufficient if compared to manufacturing high-efficient gyroscopes and accelerometers. This creates weaknesses in their mechanical structure and restrictions in the measurement accuracy, stability and reliability of MEMS gyroscopes and accelerometers. This paper aims to develop a new architectural solutions for optimization of MEMS gyroscopes and accelerometers and propose a multi-axis MEMS inertial module combining the functions of gyroscope and accelerometer.

The finite element modeling (FEM) and the modal analysis in FEM are used for sensing, drive and control electrode capacitances of the multi-axis MEMS inertial module with the proposed new architecture. The description is given to its step-by-step process of manufacturing. Algorithms are developed to detect its angular rates and linear acceleration along three Cartesian axes.

Experimental results are obtained for eigenfrequencies and capacitances of sensing, drive and control electrodes for 50 manufactured prototypes of the silicon electromechanical sensor (SES). For 42 SES prototypes, a good match is observed between the calculated and simulated capacitance values of comb electrodes. Thus, the mean-square deviation is not over 20 per cent. The maximum difference between the calculated and simulated eigenfrequencies in the drive channel of 11 SES prototypes is not over 3 per cent. The same difference is detected for eigenfrequencies in the first sensing channel of 17 SES prototypes.

This study shows a way to design and optimize the structure and theoretical background for the development of the MEMS inertial module combining the functions of gyroscope and accelerometer. The obtained results will improve and expand the manufacturing technology of MEMS gyroscopes and accelerometers.

The success and reliability of business transactions and research in emerging markets depend on the quality of financial information. Due to the institutional and historical backgrounds, financial information provided by firms in emerging markets has often been questioned for their accuracy. This study aims to examine the reliability of financial information through various descriptive and statistical analyses in major emerging markets, including Brazil, Russia, India, and China (the BRICs).

The authors use firm-level data from the BRIC countries and apply statistical models to identify patterns of profit misreporting by firms in these countries.

The results show significant and systemic signs of misreporting of financial information in these countries, particularly in China and Russia, which are further examined to understand the possible reasons behind their more severe misreporting.

The study then concludes with practical and specific recommendations for investors, managers, and policy makers on how to detect and avoid potential risks due to inaccurate financial information and improve the overall quality of decision making.

The purpose of this paper is to use the framework of rule-based and relation-based governance to examine the evolution of governance environment in the East Asian region including China, South Korea and Taiwan.

Both qualitative and quantitative evidences are presented to demonstrate the paths these East Asian countries take in their transitions from relation-based governance to rule-based governance. Based on the framework, this analysis sheds light on the debate on whether East Asian economies will eventually move away from relation-based governance to rule-based societies.

The authors find that relation-based governance has helped East Asian countries achieve rapid economic growth in the early stages of their development. However, as the scale and scope of East Asian economies expand, continuing to rely on it may hinder their further development and therefore these countries should adopt a rule-based governance system in order to be efficient and competitive in the world market. While South Korea and Taiwan have made substantial progress in this transition, China has just embarked on the process.

This paper is among the first to systematically review the theories and evidence of the transition and the challenges East Asian countries face during the process.

The purpose of this paper is to explore the task design and assignment of full-text generation on mass Chinese historical archives (CHAs) by crowdsourcing, with special attention paid to how to best divide full-text generation tasks into smaller ones assigned to crowdsourced volunteers and to improve the digitization of mass CHAs and the data-oriented processing of the digital humanities.

This paper starts from the complexities of character recognition of mass CHAs, takes Sheng Xuanhuai archives crowdsourcing project of Shanghai Library as a case study, and makes use of the theories of archival science, including diplomatics of Chinese archival documents, and the historical approach of Chinese archival traditions as the theoretical basis and analysis methods. The results are generated through the comprehensive research.

This paper points out that volunteer tasks of full-text generation include transcription, punctuation, proofreading, metadata description, segmentation, and attribute annotation in digital humanities and provides a metadata element set for volunteers to use in creating or revising metadata descriptions and also provides an attribute tag set. The two sets can be used across the humanities to construct overall observations about texts and the archives of which they are a part. Along these lines, this paper presents significant insights for application in outlining the principles, methods, activities, and procedures of crowdsourced full-text generation for mass CHAs.

This study is the first to explore and identify the effective design and allocation of tasks for crowdsourced volunteers completing full-text generation on CHAs in digital humanities.

This work aims to develop a novel fuzzy associator rule-based fuzzified deep convolutional neural network (FDCNN) architecture for the classification of smartphone sensor-based human activity recognition. This work mainly focuses on fusing the λ_max method for weight initialization, as a data normalization technique, to achieve high accuracy of classification.

The major contributions of this work are modeled as FDCNN architecture, which is initially fused with a fuzzy logic based data aggregator. This work significantly focuses on normalizing the University of California, Irvine data set’s statistical parameters before feeding that to convolutional neural network layers. This FDCNN model with λ_max method is instrumental in ensuring the faster convergence with improved performance accuracy in sensor based human activity recognition. Impact analysis is carried out to validate the appropriateness of the results with hyper-parameter tuning on the proposed FDCNN model with λ_max method.

The effectiveness of the proposed FDCNN model with λ_max method was outperformed than state-of-the-art models and attained with overall accuracy of 97.89% with overall F1 score as 0.9795.

The proposed fuzzy associate rule layer (FAL) layer is responsible for feature association based on fuzzy rules and regulates the uncertainty in the sensor data because of signal inferences and noises. Also, the normalized data is subjectively grouped based on the FAL kernel structure weights assigned with the λ_max method.

Contributed a novel FDCNN architecture that can support those who are keen in advancing human activity recognition (HAR) recognition.

A novel FDCNN architecture is implemented with appropriate FAL kernel structures.

This paper explores the possible future business environment, industrial structure, technological transformation, and market for the semiconductor industry in Taiwan.

This study applies the Delphi method to predict future trends in Taiwan's semiconductor industry in 2015.

The significant findings are as follows: the future business environment will focus on “industrial internationalization” and “strategic alliance”, and roughly half of Taiwan's production will move to China by 2015; the disintegrated model in Taiwan's semiconductor industry will still remain by 2015 and will require some adjustments, whereas the foundry service in Taiwan will retain its dominance globally; future core technologies in 2015 will comprise low voltage manufacturing (CMOS), High K, nanotechnology processes, and copper interconnection processes; the estimated value of IC industrial production for 2005 was US$32.1 billion, and will be US$61.0 billion in 2010 and US$108.8 billion in 2015.

This research can be utilized as a reference for government, academics, industry, and international investors.

This study aims to make explicit fundamental challenges, which includes children with disabilities and special educational needs in education in China, Hong Kong, and Indonesia under the current conceptions of Inclusion and Education for All (EFA). Based on extensive research and staff development work in these places, this chapter argues for uniting the aims of inclusive education and EFA in order to realize the goal of EFA in all countries. Such a transformative agenda will require a new model of looking at difficulties in learning and the concept of diversity in education. Unless a conscious effort is made to move our thinking and planning from EFA to Inclusive EFA, we will not achieve true universal education.