# The ModelSample Clauses

The Model. 2.1. The Network Model by Goyal and Joshi (2006) Formally, an international agreement between countries i and j is described by a link, given by a binary variable gij  {0,1} with gij = 1 if an agreement exists between countries i and j and gij = 0 otherwise. A network gij = {( gij)ijN } is a description of the international agreements that exist among a set N = {1,…,N} of identical countries, where N is the total number of countries. Networks gc and ge are the complete network (i.e. gij = 1 for all i, j  N) and the empty network (i.e. gij = 0 for all i, j  N). Let G denote the set of all possible networks, g + gij denote the network obtained by replacing gij = 0 in network g by gij = 1, and g − gij denote the network obtained by replacing gij = 1 in network g by gij = 0. Let Ni(g) = {j  N: gij = 1} be the set of countries with whom country i has an international trade agreement in network g. Assume that i Ni(g) so that gii = 1. The cardinality of Ni(g) is denoted i(g). In this model i(g) is also the number of active firms in country i because of the assumption that each country has only one firm (note that the domestic firm in country i is included in i(g)). Let Li(g) = {(gij)ijN : j  Ni(g)} be the set of links existing in country i in network g. Note that gii  Li(g). Let hi  Li(g) – {gii} be a link subset, and let i be the cardinality of hi. This latter notation is used in the definition of the alternative stability concept adopted in this research. Let (g) be a subset of countries in network g. (g) is said to be a complete component if: (i) gij = 1 for all i,j  (g); and (ii) gik = 0 for all i  (g) and all k  (g). On the other hand, (g) is said to be an incomplete component if there exists at least two countries i,j  (g) such that gij = 0.
The Model. The security model used to provide proof, models interaction of the real partic- ipants (modeled as oracles) and an adversary via queries which the adversary makes to the oracles. It is a kind of a “game” between the adversary and the participants, where the adversary makes some queries and finally tries to distinguish a group key from a random quantity for some session he chooses. The model is defined in details below: Participants. The set of all potential participants is denoted by P ={U1, P
The Model. In this section we refine the formal security model which has been widely used in the litera- ture [12, 8–10, 23, 6] to analyze group key agreement protocols. In particular, we incorporate strong corruption [4] into the security model in a different way than the previous approaches by allowing an adversary to ask one additional query, Dump, and we modify the definition of freshness according to the refined model. Section 5 shows that our approach leads to much simpler security proof of the compiler presented by Katz and Yung [23]. U { } Participants. Let = U1, . . . , Un be a set of n users who wish to participate in a group key agreement protocol P . The number of users, n, is polynomially bounded in the security parameter k. Users may execute the protocol multiple times concurrently and thus each user can have many instances called oracles. We use Πs to denote instance s of user Ui. In initialization phase, each user Ui ∈ U obtains a long-term public/private key pair (PKi, SKi) by running a key generation algorithm G(1k). The set of public keys of all users is assumed to be known a priori to all parties including the adversary A.
The Model. Sellers prepared for Buyers a set of financial projections with respect solely to the Acquired Business utilizing Sellers’ proprietary financial model. To the Knowledge of the Sellers, the data used in preparing such projections was compiled from and is consistent with the Books and Records of SRUS, SRLB and SRD, as applicable, as of the date so used. The assumptions used in preparing such projections were those provided by Buyers or as otherwise disclosed to Buyers. For the avoidance of doubt, no representation or warranty, express or implied, is made hereby with regard to the accuracy of such projections or whether actual results of the Acquired Business will be consistent with such projections.
The Model. The security of an IB-B-MS scheme is modeled via the following game between a challenger C and an adversary A. Initial: C first runs BM.Setup to obtain a master-secret and the system parameter list params, then sends params to the adversary A while keeping the master-secret secret. A
The Model. As mentioned in the Introduction, we follow Brulhart and Thorpe (2000) and estimate the following two specifications of an equation designed to account for changes in employment in 3-digit ISIC (Rev. 2) manufacturing industries: LDEMPLit = β0 + β1 LDCONSit + β2 LDPRODit + β3 LTREXit + β4 IITit + uit (5) and LDEMPLit = β0 + β1 LDCONSit + β2 LDPRODit + β3 LTREXit + β4 IITit (6) + β5 (IITxLTREX)it + uit where uit = μi + εit and εit ∼iid(0, σ2). We assume the cross-section component μi to be fixed since the 3- digit industries that make-up the panel have not been chosen at random. Hence, both specifications are estimated using a fixed effects estimator that is, basically, OLS with cross-section dummies. The variables used may be defined as follows: LDEMPL = The natural log of the absolute value of the change in employment (L) between t and t-n. LDCONS = The natural log of the absolute value of the change in aparent consumption (C = Q + M - X) between t, t-n, Q being output. LDPROD = The natural log of the absolute value of the change in labour productivity, measured as output per worker, between t and t-n. LTREX = The natural log of trade exposure [(X+M)/Q]. IIT = May be GL, ∆GL or A. IITxLTREX = The interaction between IIT and trade exposure. LDEMPL is a proxy for the costs of adjustment in the labour market. The assumption is that the costs of moving labour across industries is proportional to the size of net changes in wage payments and, furthermore, that this proportion is the same for all industries and over time. The expected sign for the coefficient of LDCONS is positive. One would expect the coefficient of LDPROD to be negative since increases in productivity would tend to reduce the labour requirement to produce the same level of output. This expectation is supported by evidence from the accounting measure of employment change found in, e.g., Tharakan and Calfat (1999) for Belgium, Sarris et al. (1999) for Greece and Erlat (2000) for Turkey. The prior expectation for the coefficient of LTREX is that it should be positive since trade exposure is expected to increase inter-industry specialization pressures (Brulhart and Thorpe, 2000: 730). Finally, the coefficients of both IIT and IITxLTREX are expected to be negative given the smooth adjustment hypothesis. The reason for the introduction of IITxLTREX in the second specification is the expectation that IIT should matter more in sectors where the level of trade is high.
The Model. Ui Uj Ui Uj

## Related to The Model

• Flexible Work Schedule 285. All classifications of employees having a normal workday may, with the appointing authority’s permission voluntarily work in a flex-time program authorized by the appointing officer under the following conditions:

• Project Summary The Linden Oaks Apartments development is a 28 unit development located within Aransas County at 1201 North Live Oak in Rockport, TX. The multi-family development will undergo rehabilitation due to damages suffered from Hurricane Harvey in 2017. The proposed development aims to house low-income households earning 80% of Area Median Income (AMI) or below by allocating 28 of the units to serve this population. These units represent 100% of the total number of units within the Linden Oaks Apartments development. Rockport Retirement, Ltd. is the project applicant and currently maintains site control. The housing developer is Hamilton Valley Management, Inc. who has extensive experience in constructing and managing multi-family developments. Proposed Unit Mix Bed Rooms

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• ATTACHMENT B The San Diego Workforce Partnership Miscellaneous Provisions dated Insert date (“Miscellaneous Provisions”);

• SCHEDULE OF WORK FIRST PARTY’S proposed schedule for the various services required will be set forth in Exhibit A-1. A4. CHANGES IN WORK -- EXTRA WORK In addition to services described in Section A1, the parties may from time to time agree in writing that FIRST PARTY, for additional compensation, shall perform additional services including but not limited to: • Change in the services because of changes in scope of the work. • Additional tasks not specified herein as required by the CITY. The CITY and FIRST PARTY shall agree in writing to any changes in compensation and/or changes in FIRST PARTY’s services before the commencement of any work. If FIRST PARTY deems work he/she has been directed to perform is beyond the scope of this agreement and constitutes extra work, FIRST PARTY shall immediately inform the CITY in writing of the fact. The CITY shall make a determination as to whether such work is in fact beyond the scope of this agreement and constitutes extra work. In the event that the CITY determines that such work does constitute extra work, it shall provide compensation to the FIRST PARTY in accordance with an agreed cost that is fair and equitable. This cost will be mutually agreed upon by the CITY and FIRST PARTY. A supplemental agreement providing for such compensation for extra work shall be negotiated between the CITY and the FIRST PARTY. Such supplemental agreement shall be executed by the FIRST PARTY and may be approved by the City Manager upon recommendation of the Department Head.