Theory and Application of Gob-Side Entry Retaining in Thick Three-Soft Coal Seam

With the characteristic of less roadway excavation and high resource recovery, gob-side entry retaining (GER) technology is a safe and efficient green mining technology. Many experts and scholars have done extensive research on its principle and application. However, GERs are rarely used in thick soft coal seams. In this paper, based on the geological conditions of a coal mine in China, we propose a novelty approach of GER in thick three-soft coal seam (it means a single seam with a soft roof and a soft floor). The engineering scheme includes roadway expansion, large section roadway support, cutting roof to relieve pressure, and road-inside backfill body construction. The established mechanical and numerical calculation models effectively guide the engineering practice. Field observations showed that all the processes met the requirements of field production. The research results could provide theoretical guidance for the application of GER under similar geological conditions.

Optical bright, dark and dipole solitons with derivative nonlinearity in the presence of parity-time-symmetric lattices

This paper deals with the study of optical solitons in the presence of new linear and nonlinear parity-time [Formula: see text]-symmetric modulation lattices. The nonlinear medium is a derivative term with arbitrary power. Inverse engineering scheme is utilized to retrieve bright, dark, dipole and singular soliton solutions. These solutions are presented for four new [Formula: see text]-symmetric potentials. The results reveal that optical bright, dark and dipole solitons can exist for those new physical settings.

A Green-IKE Inference System Based on Grey Neural Network Model for Humanized Sustainable Feeling Assessment about Products

Due to extraordinary concerns about the issue of environmental protection from time to time, so far, sustainable development draws much attention. In developing sustainable products, the studies on methodologies of how to precisely grasp the sustainable feeling about products and translate it into desired constructed elements are scarce. This study aims to propose a novel sustainable feeling assessment system about products, called green-initiative Kansei engineering (GIKE). The Kansei engineering scheme is a distinguished customer-oriented technology for dealing with peoples’ affection about concerning matters. In this study, we extend Kansei engineering to initiatively include the designated sustainable image other than statistically obtained high-ranking images. Then, through survey and analysis of concerning matters, we precisely build a GIKE inference system via the grey-model-based backpropagation neural network scheme, in which it provides a precise relationship between affective (including sustainable) images of products and their constructive elements. A computer mouse is selected as the target in experiments to verify the proposed methodology, and the result is satisfying. Through our study, we may know the way to acquire a human’s sustainable feeling about concerning matters. And, most importantly, the proposed GIKE methodology firstly and innovatively expands the application filed of Kansei engineering to the field of sustainability evaluation and translation for concerning matters.

Seven View Points and Reliability Engineering Scheme for Preventing Reliability Problems

We must make every effort to prevent serious problems of reliability and safety. The key to such prevention is “prediction”. There are two approaches to prediction: induction and deduction. The inductive approach includes (1) sharing experiences and histories, (2) abstracting and generalizing individual problems, and (3) utilizing incident information. The deductive approach is based on scientific theory and engineering technology. And these two approaches are integrated by seven viewpoints for prediction: purpose (required functions), mechanisms needed to achieve required functions, input items, internal & external stresses, failure mechanism, failure mode & top event mode, and effect. Focusing on these seven viewpoints, a procedure for preventing problems and a new reliability engineering scheme are proposed.

The Hungry Steppe

This book examines the Kazakh famine of 1930-33, one of the most heinous and poorly understood crimes of the Stalinist regime. As part of a radical social engineering scheme, Josef Stalin sought to settle the Kazakh nomads and force them into collective farms. More than 1.5 million people perished as a result, a quarter of Soviet Kazakhstan’s population, and the crisis transformed a territory the size of continental Europe. Drawing upon a wide range of sources in Russian and in Kazakh, the book brings this largely unknown story to light, revealing its devastating consequences for Kazakh society. It finds that through the most violent means the Kazakh famine created Soviet Kazakhstan and forged a new Kazakh national identity. But the nature of this transformation was uneven. Neither Kazakhstan nor Kazakhs themselves became integrated into the Soviet system in precisely the ways that Moscow had originally hoped. Seen from the angle of the Soviet east, a region that has not received as much scholarly attention as the Soviet Union’s west, the Stalinist regime and the disastrous results of its policies appear in a new light.