As excess visceral body fat is strongly associated with higher risk of hypertension and prehypertension, measurements of VFI or VFI/PBF ratio, in addition to PBF, will provide a better understanding of adiposity-related risks for hypertension and prehypertension.

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Chinese buffalo is of swamp type, mainly distributed in countryside of 18 provinces in southern China. China has the third population of buffalo in the world. There are 22.75 million buffaloes in China in 2005, representing 17.37% of all cattle in the whole country. Historically Chinese buffalo is mainly used for drought since their milk production is very low with an annual milk yield of 500-700 kg. Therefore, it is important to improve them to change into dairy buffalo through crossbreeding with exotic river type dairy buffalo breeds. Murrah and Nili-Ravi, the most famous river type dairy buffalo breeds in the world, were introduced from India and Pakistan in 1957 and 1974, respectively and used to crossbreed with indigenous Chinese buffalo for genetic improvement. The effect is very prominent that the performance of crossbred has been improved significantly after several decades and the milk yield reaches 1200-2000 kg. Recent years in countryside of China, buffalo rearing has been changed from extensive and dispersive model in the past into specialized small or medium dairy herd model for the present along with the rapid development of dairy buffalo breeding and the model of dairy buffalo breeding sub-district has been formed. This article introduces briefly that the system of dairy buffalo breeding as well as producing, processing and selling of buffalo milk under the current condition and the prospects of dairy buffalo development in countryside of China

As an essentially multi-input multi-output process, determination of optimal conditions for laser cladding normally requires multi-objective optimization. To understand multi-response coupling, the effects of processing parameters on the morphology quality of multi-pass laser claddings of Fe50/TiC on medium carbon steel AISI 1045 were investigated based on composite central design using response surface methodology. Multiple responses, including clad width, flatness, and non-fusion area, were transformed into a single objective through grey relational analysis, with weights objectively identified by principal component analysis. The correlation between grey relational grade (GRG) and process parameters was established by regression analysis. The results show that the GRG response model has excellent goodness of fit and predictive performance. A validation experiment was conducted at the process condition optimized for maximum GRG. The relative error of the predicted optimal GRG is 4.87% whereas those of interested individual objectives, i.e. clad width, flatness, and non-fusion area, are 5.73%, 2.97%, and 6.73%, respectively, which verifies the accuracy of the established model. The investigation of mechanical properties suggests the hardness of substrate can be improved from 20 HRC to 60 HRC and wear resistance to over 8.14 times better.Coatings 2020, 10, 151 2 of 22 independently when conducting optimization. The authors of [5][6][7] used regression analysis (RA) to develop empirical-statistical relationships between key parameters and geometrical characteristics of single-pass NiCrAlY, Ti-6Al-4V, and WC-12Co claddings (i.e., clad height, clad width, penetration depth, wetting angle, and dilution) as a combined parameter (P α V β F γ ). These empirical-statistical relationships were found to be in good agreement with measured values of single clad passes. Shi et al. [8] evaluated the effects of processing parameters (laser power, scanning velocity, and powder mass flow rate) on the geometric form of clad (clad height, width, and depth penetration into the substrate) using multiple regression analysis (MRA). With optimized process parameters, a 45-mm-high thin wall was formed with smooth side surfaces. By applying individual objectives, the laser cladding process can be easily optimized for each criterion. However, multiple optimizations of process conditions are hard to combine into a common goal.Many researchers have presented numerous methodologies to integrate multiple objectives for process optimization. Grey relational analysis (GRA), a process of quantifying the dynamic development of complex systems, has become an efficient method to reveal the correlation between influencing factors and multiple responses [9,10]. Mondal et al. [11] prepared Ni/Cr/Mo composite coatings on AISI 1040 steel with a L9 orthogonal array, using GRA (response target weight was one-third) to build the relationship between process parameters (laser power, scan speed, and powder feed rate) and clad quality characteristics (clad he...