### Table 1: Rotated factor Matrix for business process orientation Factor

"... In PAGE 7: ... We used 19 items to measure the organizational performance. The basic structure and nature of the research instru- ment can be seen in Table1 and Table 2. In addition to the latent variables measurement items some general questions for basic descriptive statistics were also included in the questionnaire.... In PAGE 8: ... Firstly, we analyzed the items measuring business process orientation construct. As this construct had been tested extensively the results shown in Table1 were anticipated. Three factors emerged each representing one aspect of BPO.... ..."

### Table 1: A doubly infinite array of nonnegative integers.

"... In PAGE 1: ... 1. Introduction Consider a doubly in nite array (matrix) A = fAn j : 0 j; n 1g of nonnega- tive integers whose rst few entries are displayed in Table1 . To de ne its formation rule, we introduce a little notation.... ..."

### Table 1: A doubly infinite array of nonnegative integers.

"... In PAGE 1: ... 1. Introduction Consider a doubly in nite array (matrix) A = fAn j : 0 j; n 1g of nonnega- tive integers whose rst few entries are displayed in Table1 . To de ne its formation rule, we introduce a little notation.... ..."

### Table 1: A doubly infinite array of nonnegative integers.

"... In PAGE 1: ... 1. Introduction Consider a doubly in nite array (matrix) A = fAn j : 0 j; n 1g of nonnega- tive integers whose rst few entries are displayed in Table1 . To de ne its formation rule, we introduce a little notation.... ..."

### Table 7. Basic matrices.

"... In PAGE 4: ... In Kronecker product representable trans- forms, these are factors in the Kronecker product for the transform matrix CC. Table7 shows the basic matrices for the most often used transforms in BVB4BV D2 BE B5. The ma- trices C1B4BDB5 and CFB4BDB5 are used in the matrix definition of the Haar transform, although it is not Kronecker product representable [3].... ..."

### Table 1: Summary of algorithms for Weighted Non-Negative Matrix Euclidean Distance (ED) KL Divergence (KLD)

### Table 5: Basic Assurance Factors

"... In PAGE 4: ...able 4: Functionality Requirements . . . . . . . . . . . . . . . . . . . 10 Table5 : Basic Assurance Factors .... ..."

### Table 5: Basic Assurance Factors

### Table 3: A GapL algorithm for the determinant over non-negative integers

"... In PAGE 22: ...) Essentially, HA gives us a uniform polynomial size, polynomial width branching program, corresponding precisely to GapL. Table3 lists the code for an NL machine computing, through its gap 6.2-10 function, the determinant of a matrix A with non-negative integral entries.... ..."