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In the process, the frac-fluid such as water is pumped at a high pressure into a selected section of wellbore in the roof, this fluid creates probably a fracture or multiple fractures extending into the rock medium, as a consequence, the weighting span of the main roof and the released kinetic energy as well as periodic weighting and windblast decrease greatly after the hydraulic fracturing during coal mining progression demonstrated by laboratory and field observation[1, 2].
[7] Yew, C.H., Mechanics of hydraulic fracturing. 1997: Gulf Professional Publishing

This could be due to the evaporation of the water content in the used cigarette filters.
Farrawahida Mohtar for their professional supports.

Fig. 1 iGame460 Furthermore, product designers shall pay active attention to smart structure and unique texture and material during bionic design, make use of these structures and materials with their own professional knowledge, make worthy bionic achievements and invent high quality products for the society.
For example, famed Japanese designers have created a host of products simulating natural biological characteristics, such as the plankton compass stimulating bugs floating on the surface of water in summer (Fig. 4) and the intelligent remote control with biological characteristics that becomes hard (in use) and soft (idle) (Fig. 5).

The method to construct the pattern of mixed cares for the aged in New Community Guixiu Wang School of Architecture, North China University of Water Resources and Electric Power, Zhengzhou, Henan, 450046, China henanwangguixiu@sina.com Keywords: Mixed cares;Residential facilities;The aged Abstract.
As the growth of the age, City old people gradually withdrew from the professional group, and range from the original work environment to living environment.

(11) However, there are three main drawbacks of the algorithm: 1) It is very difficult to give the number of the clustering k in advance, especially lacking of the professional knowledge; 2) Clustering results are sensitive to the initial centres because the clustering results are not same when different centres are selected.
Data and dimensions data set Instances Attributes Principal Attributes Annealing 798 38 9 Water-treatment 527 38 8 Breast-cancer 569 32 10 wine 178 13 5 Ionosphere 351 34 6 (3) We adopted two k-means algorithms, i.e. the traditional k-means algorithm and the improved k-means algorithm to cluster the data points on the improved radar chart.

The construction of the new building also increased for water, electricity, gas, warm demand; but also intensified the pressure of urban sewage treatment.
West of the roof is of a multilayer residential building, South Housing Scheme for direct selection of them in the winter, cold climate, especially the rain and snow weather, eaves hanging ice phenomenon is particularly serious, after our professional architects to transform the design, adding a gutter and drainage slope roofing to guide in the flat roof eaves the mouth, to a large extent reduce the winter ice in injuries to the dangerous situation.

The way of image analysis has the problem that the obtained image is greatly influenced by light in the environment, and it also requires professional data analysis in the lab.
For example: the symptom of capsicum wilt on stem S2={ water soaked rot, all plant wilt, white mildew on the lesion} ,after it is mapped by symptom terms, S2={ wet rot, wilt, mildew}, the symptom definition value D(S2) = {0,0,2,2,0,1}.

In addition to participating in the engineering specifications and continuing education training of the province, the staff should still be frequently organized to seriously study the content and conditions of the provisions, especially the mandatory specification to deepen understanding, raise the professional level and improve the quality of the plan censorship.
China Water & Wastewater, Vol. 14 (2010), p. 84-86 (in Chinese) [2] SHI Zhongliang, PAN Shu, LI Xiaohui.Port & Waterway Engineering, Vol. 12 (2009), p. 78-81(in Chinese) [3] ZHANG Zhigang.

Firstly, establish a risk assessment group, considering each member has different professional title, education, background and ability, λk is introduced as expert important degree coefficient, 0＜λk＜1, k=1,2,…,l, , in the Eq., l represents the total number of members in the group.
Management organization and personnel settings r1 0.114 (68,85.4,92.3) Safety production responsibility system r2 0.165 (68,86.1,92.3) Safety management system r3 0.054 (52,83,89.8) Establishment, drill and modify of emergency plans r4 0.296 (68,85,92.3) Implementation of safety inspection r5 0.119 (56,82.1,90.5) Management of hidden danger r6 0.212 (40,81.2,87.5) Safety input r7 0.040 (64,81.8,92) Engineering index B (0.459) Sliding ability of tailings particles r8 0.0216 (80,85.3,95) Safe height and length of deposited beach r9 0.1312 (80,86.8,95) Anti-sliding stability of both starter dam and accumulation dam slope r10 0.1307 (64,82.4,92) Ratio of slope on upstream and downstream of the dam and its facilities r11 0.1722 (80,86.6,95) Subsidence, crack, collapsing and marsh conditions of dams r12 0.3214 (64,83.2,92) Flood protection standards, the capacity for flood and the reliability of flood draining structures of the dam r13 0.1520 (80,87.5,95) Leakage of water

Table 1 Academic background of proprietors in the industry Educational Qualification  % Response Primary School 16.67 Secondary School 63.33 National Diploma (OND) 3.33 Higher National Diploma (HND) 0.00 Degree 16.67 Professional Qualification 0.00 Figure 1 The level of education of the operators of the industry The poor educational background of the operators of the industry in Benin metropolis made them unaware of government policies for the small and medium scale enterprises.
Imposition of levies from different agencies of government – fire service, water rate, waste disposal, etc even when these services are evidently not available, all in a bid to increase internally generated revenue (IGR), government is perceived as uncaring and unsupportive.