Qualitative Reasoning. Probability is used in many distributed systems for breaking the symmetry between different components/processes, e.g. IEEE 1394 Firewire protocol [2] , Xxxxx Choice Coordination algorithm [3] . For such systems, termination cannot be guaranteed for certain. Instead, a slightly weaker property is mostly appropriate: termination with probability one. As an example for this type of systems is to consider tossing a coin until it comes up tail. Provided that the coin is fair (in that sense that no face is ignored forever), eventually, the coin will eventually come up head. Qualitative probabilistic reasoning has been integrated into Event-B [4] : a new kind of actions is added, namely probabilistic actions with an assumption that the probability for each possible alternative is bounded away from 0 or 1. Most of the time, probabilistic actions behave the same as (standard) non-deterministic actions (e.g. invariant preservation). The difference between probabilistic and non-deterministic actions is with convergence proof obligation: probabilistic actions are interpreted angelically, whereas non-deterministic actions are interpreted demonically. The result is a practical method for handling qualitative reasoning that generates proof obligations in the standard first-order logic of Event-B. The plug-in allows developers to declare an event to be probabilistic convergent and generate appropriate proof obligations. Since the obligations are in standard first-order logic supported by the Rodin platform, we do not need to make any extension for the provers to handle the new proof obligations.

Qualitative Reasoning. Ideally, we would like to have a new value for the convergence attribute of Event-B events. However, this is not currently supported by the Rodin platform. Instead, a new probabilistic attribute is defined for events, with the value is either standard or probabilistic. • Since standard refinement does not maintain probabilistic convergent property, we put a restriction on the development method for almost-certain termination systems in two steps as follows. 1. Establish the model of the systems with various anticipated events 2. While proving convergence properties of events (either standard or probabilistic), we keep the variable and event system the same (i.e. no refinement is allowed). • For probabilistic convergence, the variant need to be bounded above. A combination of standard and probabilistic convergence events results in a probabilistic convergence system. Moreover, the use of anticipated events and refinement allowed us to construct an lexicographic variant by combining the sub-variant at different level of refinements. For probabilistic convergence system, this lexicographic variant need to be bounded above, which require all the sub-variants to be bounded above (not only those variant concern with probabilistic events). More details of our approach is in our report at AVoCS'10 [8] .

Qualitative Reasoning. Master thesis of Xxxx Xxxxxx on developing tool support for qualitative reasoning in Event-B [14] . • The development of Xxxxx'x Choice Coordination Algorithm is available at the DEPLOY Repository [15] . • A paper describing the development of Xxxxx Choice Coordination algorithm and tool support in the Proceedings of AVoCS'10 [8] .

Qualitative Reasoning. In DEPLOY's fourth year, we plan to implement the missing proof obligations. More importantly, we will investigate the interaction between refinement and almost certain termination. This allows us to prove convergence properties early in the development and guarantee that refinement will maintain these convergent properties. [1] A. Xxxxxxx. Augmenting Event-B Specifications with Control Flow Information. Nodes 2010. Copenhagen June 3-4 2010, Technical University of Denmark [2] J.-X. Xxxxxx, D. Xxxxxxx, X. Mery. A Mechanically Proved and Incremental Development of IEEE 1394 Tree Identify Protocol. Formal Asp. of Comput. 14(3):215-227, 2003 [3] X. Xxxxx. The Choice Coordination Problem. Acta Informatica, 17:121-134, 1982. [4] X. Xxxxxxxxxxx, X.X. Xxxxx. Qualitative Probabilistic Modelling in Event-B. iFM 2007: Integrated Formal Methods, Oxford, U.K. July 2007 [5] X. X. Xxxxxx. The B-Book: Assigning Programs to Meanings [6] R.J.R. Back and X.Xxxxx-Xxxxxx, Decentralization of process nets with centralized control. 2nd annual symposium on principles of distributed computing, Montreal 1983 [7] R.J.R. Back. Atomicity Refinement in a Refinement Calculus Framework (Back92:atomicity)

Qualitative Reasoning. Probabilistic Action then end

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Narrative Results ‌‌ i. For the first Quarterly Claims Review Report only, a description of (a) Xxxxxxxx Clinic’s billing and coding system(s), including the identification, by position description, of the personnel involved in coding and billing, and (b) a description of controls in place to ensure that all items and services billed to Medicare or a state Medicaid program by Xxxxxxxx Clinic are medically necessary and appropriately documented. Subsequent Quarterly Claims Review Reports should describe any significant changes to items (a) and (b) or, if no significant changes were made, state that the systems and controls remain the same as described in the prior Quarterly Claims Review Report. ii. A narrative explanation of the results of the Quarterly Claims Sample, including reasons for errors, patterns noted, etc.
Religious Objection Any employee who is a member of and adheres to established and traditional tenets or teachings of a bona fide religion, body, or sect which has historically held conscientious objections to joining or financially supporting labor organizations shall not be required to join or financially support the Union as a condition of employment. Such an employee shall, in lieu of dues and fees, pay sums equal to such dues and fees to a non-religious charitable fund. These religious objections and decisions as to which fund will be used must be documented and declared in writing to the Union. Any employee exercising their right of religious objection must provide the Union with a receipt of payment to an appropriate charity on a monthly basis.
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Quantitative Analysis Quantitative analysts develop and apply financial models designed to enable equity portfolio managers and fundamental analysts to screen potential and current investments, assess relative risk and enhance performance relative to benchmarks and peers. To the extent that such services are to be provided with respect to any Account which is a registered investment company, Categories 3, 4 and 5 above shall be treated as “investment advisory services” for purposes of Section 5(b) of the Agreement.”
Criteria (1) Annual Evaluation Criteria. All performance evaluations shall be based upon assigned duties, and shall carefully consider the nature of the assignment in terms, where applicable, of: a. Teaching effectiveness, including effectiveness in presenting knowledge, information, and ideas by means or methods such as lecture, discussion, assignment and recitation, demonstration, laboratory exercise, practical experience, supervision of interns, theses, professional projects and/or dissertations, and direct consultation with students. The evaluation shall include consideration of effectiveness in imparting knowledge and skills, and effectiveness in stimulating students' critical thinking and/or creative abilities, the development or revision of curriculum and course structure, and adherence to accepted standards of professional behavior in meeting responsibilities to students. The evaluator may take into account class notes, syllabi, student exams and assignments, and any other materials relevant to the employee's teaching assignment. The teaching evaluation must take into account any relevant materials submitted by the employee, including the results of peer evaluations of teaching, and may not be based solely on student evaluations when this additional information has been made available to the evaluator. b. Contribution to the discovery of new knowledge, development of new educational techniques, and other forms of creative activity. Evidence of research and other creative activity shall include, but not be limited to, published books; articles and papers in professional journals; musical compositions, paintings, sculpture; works of performing art; papers presented at meetings of professional societies; funded grant activities; and research and creative accomplishments that have not yet resulted in publication, display, or performance. The evaluation shall include consideration of the employee's productivity, including the quality and quantity of the employee's research and other creative programs and contributions during the year, as well as recognition by the academic or professional community of what has been done. c. Public service that extends professional or discipline-related contributions to the community, the State, public schools, and/or the national and international community. This public service includes contributions to scholarly and professional organizations, governmental boards, agencies, and commissions that are beneficial to such groups and individuals. d. Participation in the governance processes of the University through significant service on committees, councils, and senates, beyond that associated with the expected responsibility to participate in the governance of the University through participation in regular departmental or college meetings. e. Other assigned University duties, such as attending University events, advising, counseling, and academic administration, or as described in a Position Description, if any, of the position held by the employee. Other assigned duties may include entrepreneurial activities that contribute to the further development of the University with an end result of creating a new venture. Evidence of entrepreneurial contributions shall include, but not be limited to, creation of self- supporting centers or institutes, development of multi- disciplinary research partnerships, and applications of research to implementations in society. To provide guidelines for the establishment, maintenance and use of employee evaluation files within the employee’s respective academic unit.
Reasons 1. For the birth or placement of a child for adoption or xxxxxx care; 2. To care for an immediate family member (spouse, child, or parent) with a serious health condition; or 3. To take medical leave when the employee is unable to work because of a serious health condition.
Rationale/Justification The Cisco Certified Network Associate Security (CCNA® Security) certification represents industry acknowledgement of technical skill attainment of competencies in the IT Security program.
Evaluation Criteria 5.2.1. The responses will be evaluated based on the following: (edit evaluation criteria below as appropriate for your project)
Findings Based on the information known by or provided to the Department, the following findings are asserted for purposes of this Contract:
Grievability Denial of a petition for reinstatement is grievable. The grievance may not be based on information other than that shared with the Employer at the time of the petition for reinstatement.

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