Southeastern Alaska mineral commodity maps

Continued interest by exploration companies in a Southeastern Alaska resource study in progress by the Mineral Industry Research Laboratory has prompted the release of some of the maps prior to the completion of the study. A report on the study should be available for distribution during the summer of 1970, and will contain a complete tabulation of all mineral properties and prospects contained in the literature or staked under the mining laws. In addition, the report will contain a description of U. S. Bureau of Mines mining districts, a summary of the geology, and thoughts pertaining to possible controls for ore deposits in the area. The commodity maps contained in this packet represent only those properties currently listed in the State Division of Mines and Geology Kardex System. Information pertaining to all properties tabulated in this system for Southeastern Alaska has been digitized and stored on magnetic tape. The maps were plotted by computer at a scale of approximately 1 " = 20 miles for overlay purposes. The computer utilized the storage and retrieval file of Alaska mineral information developed by the Mineral Industry Research Laboratory (see M. I. R. L. Report No. 24) and the STAMPEDE and contouring program maintained by the University of Alaska.computer center. Each map i s a composite of individually plotted quadrangle maps using the U. S. Geological Survey coordinate system described in U. S. Geological Survey Bulletin 1139 for property location. At this scale, there i s little error in location

Integrability of the Brouwer degree for irregular arguments

We prove that the Brouwer degree $\mathrm{deg}(u,U,\cdot)$ for a function $u\in C^{0,\alpha}( U;\mathbb{R}^n)$ is in $L^p(\mathbb{R}^n)$ if $1\leq p<\frac{n\alpha}d$, where $U\subset \mathbb{R}^n$ is open and bounded and $d$ is the box dimension of $\partial U$. This is supplemented by a theorem showing that $u_j\to u$ in $C^{0,\alpha}(U;\mathbb{R}^n)$ implies $\mathrm{deg}(u_j,U,\cdot)\to \mathrm{deg}(u,U,\cdot)$ in $L^p(\mathbb{R}^n)$ for the parameter regime $1\leq p<\frac{n\alpha}d$, while there exist convergent sequences $u_j\to u$ in $C^{0,\alpha}(U;\mathbb{R}^n)$ such that $\|\mathrm{deg}(u_j,U,\cdot)\|_{L^p}\to \infty$ for the opposite regime $p>\frac{n\alpha}d$.Comment: 29 pages, 7 figures; statement and proof of Theorem 1.1 corrected, acknowledgments amende

Trade Union Organising in Private Sector Services : Findings from the British, Dutch and German retail industry

The aim of the paper is to take a closer look behind the curtain of low aggregate trade union densities in retail and to outline the major obstacles and problems trade union organising faces in the retail trades. Trade union organising and recruitment is analysed against the background of a 'two hurdle model of organising' (cf. Haas 2000, Dribbusch 2003) derived from explanations on trade union membership put forward by Green (1990) and Disney (1990). Within this framework the first hurdle to be taken is the establishment of a workplace presence as a precondition for any sustainable membership development. The second hurdle is then to convince the potential members in the workplace to join i.e. the recruitment. --

Applications of trend surface analysis and geologic model building to mineralized districts in Alaska

The Mineral Industry Research Laboratory, University of Alaska, has investigated the application of computers and statistics to mineral deposits in Alaska. Existing programs have been adapted and new ones written for the computers available at the University. The methods tested are trend surface analysis and geologic model making. An existing coeffecient of association program was converted to Fortran IV , but was not applied to an Alaskan problem. A trend surface is a mathematically describable surface that most closely approximates a surface representing observed data. In geologic model making, regression analysis is used to determine what geologic features are significant as ore controls. Coefficient of association compares samples to each other on the basis of a variable being present or absent. Trend surfaces were computed for dips and s t r i k e s of geologic features ( v e i n s , f a u l t s , bedrock) for Southeastern Alaska, the Chichagof district , and the Hyder district . Results for the f i r s t two are presented as maps. Trend surfaces and residual maps were prepared for geochemical data from the Slana district, Alaska. A mineral occurrence model was made for a portion of the Craig Quadrangle, and potential values were computed for c e l l s in the area. Appraisals of potential values by five geologists are compared with those of the model. An IBM 1620 multiple regression program is included