The aim of this study is to confirm and re-examine the effect organizational culture lecturer competence on performance with commitment as a mediating variable. population in were 61 lecturers. Samples selected by purposive sampling total 45 people obtained. Research hypotheses tested using path analysis SmartPLS version 3.2.9 application. research results showed that has significant performanc...

To treat probability rigorously, we define a sample space S whose elements are the possible outcomes of some process or experiment. For example, the sample space might be the outcomes of the roll of a die, or flips of a coin. To each element x of the sample space, we assign a probability, which will be a non-negative number between 0 and 1, which we will denote by p(x). We require that p(x) = ...

The goal is to acquire signals in R that are well approximated by sparse signals with k nonzero components, where k << n. The measurement process can be represented by an m× n matrix A, where m is roughly proportional to k rather than n. The recovery algorithm uses the sketch and a description of the measurement matrix to construct a signal approximation x̂ that has only O(k) nonzero components....

However, suppose a learning algorithm cannot attain error rates less than some fixed amount, say 40%. Is it possible, despite this limitation, to still drive the error rate arbitrarily close to zero? This question motivates the weak learning model, which will be described below. This model will consider circumstances in which the learning algorithms can only do slightly better than random guess...

We are going to discuss enumeration problems, and how to solve them using a powerful tool: generating functions. What is an enumeration problem? That’s trying to determine the number of objects of size n satisfying a certain definition. For instance, what is the number of permutations of {1, 2, . . . , n}? (answer: n!), or what is the number of binary sequences of length n? (answer: 2n). Ok, no...

In the previous lecture we defined Sufficient Statistics, which capture all information in the data relevant to estimating a desired parameter (hopefully, in a concise way). Motivated by the fact that useful sufficient statistics (i.e., those with dimension independent of sample size) only exist for certain (i.e., exponential family) distributions, we defined two more general notions, the Rate ...

Up to this point all our security definitions in the CRS model have (either implicitly or explicitly) made the assumption that the adversary selects the target statement independently from the CRS. For example in the definition of soundness1 the false statement y is chosen by adversary P on input only (1λ). Less explicitly, although the definitions of ZK and same-string ZK quantify over all sta...

2013;26(4) S Afr J Clin Nutr Ogunkunle MO, BSc, MSc, Assistant Lecturer Department of Human Nutrition, University of Ibadan, Nigeria Oludele AS, BSc, Lecturer Department of Home Economics, Osun State College of Education, Ila Orangun, Nigeria Correspondence to: Ogunkunle Morenike, e-mail: [email protected]

1 Assistant Lecturer; School of Spatial Planning and Natural Resource Management; Jaramogi Oginga Odinga University of Science and Technology, KENYA 2 Seniour Lecturer; School of Spatial Planning and Natural Resource Management; Jaramogi Oginga Odinga University of Science and Technology, KENYA 3 Professor; School of Agriculture and Food Science; Jaramogi Oginga Odinga University of Science and...

1. Post Graduate Student, Department of Oral Pathology and Microbiology, Teerthanker Mahaveer Dental College & Research Centre, Moradabad. 2. Reader, Department of Oral Pathology and Microbiology, Teerthanker Mahaveer Dental College & Research Centre, Moradabad 3. Senior Lecturer, Department of Oral Pathology and Microbiology, Teerthanker Mahaveer Dental College & Research Centre, Moradabad 4. ...