The MRQP software is presently the only software in China that uses the mineral resources quantitative prediction method, is independent of the DOS environment, does not rely on other softwares such as MapGIS and ArcInfo and runs under the WINDOWS platform directly.

At present,operative therapy is still the only method which can heal the carcinoma of the gallbladder(PCG),but only 20%～30% patients can be treated by radical resection.

In a much cited article, Yau [5] proved that when the Ricci curvature is bounded uniformly below, then the only bounded solution to the heat equation ?tμ=Δμ on [0, ∞) × M which vanishes at t=0 is the one which vanishes evarywhere.

Is this the only one for J1? In this paper all primitive (J1, 2)-arc transitive graphs Γ are given and that AutΓ?J1 is proved.

So it is vital to enhance the protection of the only original Metasequoia population in the world and its habitat.

The only input of the control system is the STL-formatted 3D CAD model of the pattern.

There are other observations, such as the non-linear Fowler-Nordheim plot and multi-peaks field emission energy distribution spectra, indicating that the field enhancement is not the only story in the FE of CNTs.

Fineness modulus (F. M.) has served as an index of fineness of aggregates since it was first introduced by Prof. Duff A. Abrams in 1918. In the concrete mix design, the F. M. of sand governs the sand content and hence the proportions of other ingredients. But there are undesirable features in F. M.: it does not represent the grading of sand and manifests no significant physical concept.Prof. suggested an "average diameter" (d_(cp)) in 1943 as a measure of fineness of sand. In 1944, d_(cp) was adopted in 2781-44...

Fineness modulus (F. M.) has served as an index of fineness of aggregates since it was first introduced by Prof. Duff A. Abrams in 1918. In the concrete mix design, the F. M. of sand governs the sand content and hence the proportions of other ingredients. But there are undesirable features in F. M.: it does not represent the grading of sand and manifests no significant physical concept.Prof. suggested an "average diameter" (d_(cp)) in 1943 as a measure of fineness of sand. In 1944, d_(cp) was adopted in 2781-44 as national standard to specify the fine aggregate for concrete in USSR. It was introduced to China in 1952 and soon becomes popular in all technical literatures concerning concrete aggregates and materials of construction.After careful and thorough investigation from ordinary and special gradings of sand, the equation of d_(cp) appears to be not so sound in principle and the value of d_(cp) computed from this equation is not applicable to engineering practice. The assumption that the initial average diameter (ν) of sand grains between consecutive seives is the arithmetical mean of the openings is not in best logic. The value of an average diameter computed from the total number of grains irrespective of their sizes will depend solely on the fines, because the fines are much more in number than the coarses. Grains in the two coarser grades (larger than 1.2 mm or retained on No. 16 seive) comprising about 2/5 of the whole lot are not duly represented and become null and void in d_(cp) equation. This is why the initiator neglected the last two terms of the equation in his own computation. Furthermore, the value of d_(cp) varies irregularly and even inversely while the sands are progressing from fine to coarse (see Fig. 4).As F. M. is still the only practical and yet the simplest index in controlling fineness of sand, this paper attempts to interpret it with a sound physical concept. By analyzing the F. M. equation (2a) in the form of Table 9, it is discovered that the coefficients (1, 2…6) of the separate fractions (the percentages retained between consecutive seives, a1, a2…a6) are not "size factors" as called by Prof. H. T. Gilkey (see p. 93, reference 4), but are "coarseness coefficients" which indicate the number of seives that each separate fraction can retain on them. The more seives the fraction can retain, the coarser is the fraction. So, it is logical to call it a "coarseness coefficient". The product of separate fraction by its corresponding coarseness coefficient will be the "separate coarseness modulus". The sum of all the separate coarseness moduli is the total "coarseness modulus" (M_c).Similarly, if we compute the total modulus from the coefficients based on number of seives that any fraction can pass instead of retain, we shall arrive at the true "fineness modulus" (M_f).By assuming the initial mean diameter (ν') of sand grains between consecutive seives to be the geometrical mean of the openings instead of the arithmetical mean, a "modular diameter" (d_m), measured in mm (or in micron) is derived as a function of M_c (or F. M.) and can be expressed by a rational formula in a very generalized form (see equation 12). This equation is very instructive and can be stated as a definition of mqdular diameter as following:"The modular diameter (d_m) is the product of the geometrical mean ((d_0×d_(-1))~(1/2) next below the finest seive of the series and the seive ratio (R_s) in power of modulus (M_c)." If we convert the exponential equation into a logarithmic equation with inch as unit, we get equation (11) which coincides with the equation for F. M. suggested by Prof. Abrams in 1918.Modular diameter can be solved graphically in the following way: (1) Draw an "equivalent modular curve" of two grades based on M_c (or F. M.) (see Fig. 6). (2) Along the ordinate between the two grades, find its intersecting point with the modular curve. (3) Read the log scale on the ordinate, thus get the value of the required d_m corresponding to M_c (see Fig. 5).As the modular diameter has a linear dimension with a defin

In order to determine flood discharges in rivers without any previous hydrometric record, estimation according to its trace is the only approximation method that is comparatively reliable. The method requires only to find the flood trace, measure its slope and section of flow, estimate the channel roughness, and then substitute these data into hydraulic formulas to calculate the velocity and discharge. Although the results thus obtained may not be accurate, and it is impossible to ascertain the probability...

In order to determine flood discharges in rivers without any previous hydrometric record, estimation according to its trace is the only approximation method that is comparatively reliable. The method requires only to find the flood trace, measure its slope and section of flow, estimate the channel roughness, and then substitute these data into hydraulic formulas to calculate the velocity and discharge. Although the results thus obtained may not be accurate, and it is impossible to ascertain the probability of occurrence corresponding to the flood, nevertheless, the data based upon are direct, and so the errors are low in comparison with those of indirect methods, such as the hydro-meteorological and the analogical, which might even yield radically unreliable results. Besides, in the statistical method of estimating flood flows, this method has been used to supplement those extraordinary flood data not recorded in history and yet valuable for statistics.The current method of estimating flood discharges from its trace assumes the state of steady flow and its velocity formula, from which it is impossible to obtain the maximum discharge that actually happens in the state of unsteady flow, and is only possible to calculate the discharge at maximum water level smaller than the peak discharge. This paper analyzes the shortcomings of the current method and suggests another means of estimating by taking average of the upper and lower limits of the maximum discharge. The error of estimation in the new method will not be over 17% by analysis, which, as compared with the standard of allowable error in hydrometrical survey, is not considerable.

The present study was undertaken with one dog, on whose cortex, at the region of the sigmoid gyrus, were imbedded two permanent electrodes known respectively as electrode A and electrode B. Under stimulation, electrode A gives movement of the left hind leg, and electrode B elicits movement of the toes of the left front leg.The main aim of the experiment is to determine the minimal strength in voltage for eliciting the first appreciable motor response, when the frequency of the stimulating current is under control....

The present study was undertaken with one dog, on whose cortex, at the region of the sigmoid gyrus, were imbedded two permanent electrodes known respectively as electrode A and electrode B. Under stimulation, electrode A gives movement of the left hind leg, and electrode B elicits movement of the toes of the left front leg.The main aim of the experiment is to determine the minimal strength in voltage for eliciting the first appreciable motor response, when the frequency of the stimulating current is under control. With an ordinary audio-oscillator to administer the stimulus frequencies, the range of frequencies utilized is 20—20,000 cycles.For the same frequencies, the minimal voltage for eliciting the motor response varies considerably from one sitting to another (see Table 1), but within the same sitting the same frequencies, even when repeated with many other frequencie intervening, require closely similar minimal voltages. Furthermore, a clear trend is always present in the relationship between the frequency of the stimulating. current and the minimal voltage necessary for eliciting the motor response, i. e., within the range of frequencies used (20—20,000), the middle frequencies need farsmaller stimulus strength in voltage than either the lower or the higher ones to elicit the same motor response.It was found that the minimal effective voltage is lowest for the 300—1,000. cycles region. Frequencies lower than 300 or higher than 1,000 need higher voltage. Furthermore, frequencies from 300 downwards and from 1,000 upwards are accompanied by progressively higher voltage. Electrodes A and B yield closely similar results (see Table 3 and Fig. 2). Thus, the frequencies from 300 to 1,000 cycles may be considered as possessing the most effective stimulus value.Besides the definite frequency-voltage relationship just mentioned, frequency affects the type of motor response as that frequencies of 100 and below 100 no longer elicit the regular response of the leg or the toes alone, but give rise to neck. movement in addition. Neck movement becomes eventually the only motor response to frequencies 50—20. With electrode A the above mentioned phenomenon. appeared with great regularity (see Table 4).When the experiment was over, the dog was killed and its brain examined histologically. It is seen that both electrodes are in the sigmoid gyrus of the right hemisphere, but they enter into different depths. Electrode A penetrates into between layer Ⅴ and layer Ⅵ, while electrode B penetrates only into layer (see Figs. 4 and 5).