Model Description Clause Samples

Model Description. The model which uses the Lead-time interface agreement is similar to the model which makes use of the Min-max interface agreement. In the Lead-time interface agreement it is agreed that the repair shop must repair parts within a given lead-time. There are two kinds of lead-times, a regular lead-time and an emergency lead-time. The agreement specifies also the length of the regular lead-time and the emergency lead-time and what percentage of parts can get an emergency lead-time.

Model Description. The purpose of the Professional Growth Option (PGO) is professional growth and improvement for the employee and student achievement. The PGO is a voluntary evaluation model that provides employees instructional improvement opportunities based on a plan developed from specific goals.

Model Description. FCB-FF3W1 EO/OE Box with SMPTE HFO Connector (Female) FCB-FM3W2 EO/OE Box with SMPTE HFO Connector (Male) FCB-OF3W1 EO/OE Box with Japanese HFO Connector (Female) FCB-OM3W2 EO/OE Box with Japanese HFO Connector (Male) ★ ★ ★ ★ Key Features and Benefits • All-in-one solution EO/OE modules and power unit • Ideal for outside broadcasting • Maximizing existing HFO camera assemblies • Flexible configuration for EO/OE modules • AC and DC input redundancy ★ Production by order EO/OE Config. SDI1 Slot EO-100 OE-101 EO-100 OE-101 SDI2 Slot OE-101 EO-100 OE-101 EO-100 HFO Connector Canare FCFR (SMPTE, Female) Canare FCMR (SMPTE, Male) Canare OCFR(Jananese, Female) Canare OCMR (Japanese, Male) SDI I/O Connector 2x 75 ohm BNC EXT Connector 2x XLR3 Female 2x XLR3 Male 2x XLR3 Female 2x XLR3 Male Power Requirement AC100 to 240V, DC 12V Power Consumption Max. 10W Power Connector AC3P Jack XLR4 Male (DC) Operating Temperature 0 to 40°C Dimensions 210x 44x 240mm Weight 1300g Fiber-Optic Systems Canare Cable Checker allows fast, easy confirmation of HFO cables in the field. No heavy equipment to drag around. The compact design features a backlight digital display to measure optic loss/power and electrical continu- ity. Small and light, Canare cable checker helps make mobile installations smooth, secure and constant. FCT-FCKIT FCT-FC FCT-FCLB FCT-OCKIT FCT-OC FCT-OCLB Connectors Key Features and Benefits • Compact, hand-held design • Measured optical loss and power in addition to electrical signals • 2x AA, 20 hours battery life • The kit includes TB-3 storage case, soft cases, AA Batteries, and cleaning sticks Cables Specifications Connector SMPTE/ARIB (Canare FC Series) JAPANESE (Canare OC Series) LD ▇▇-▇▇ Wavelength 1310nm Sensitivity -24 to -2dBm Maximum Length 3.5km (▇▇▇▇▇▇ ▇▇-2SM9R) Optic Lines Two Lines: Power and Loss Copper Lines Power, Control, and Shield: Connectibility Battery/Life 2pcs of AA/ Approx. 20hours Operating Temperature -10 to 60°C Dimensions FCT-FC/OC: 46x 46x 150mm FCT-FCLB/OCLB: 46x 46x 65mm Weight FCT-FC/OC: 380g FCT-FCLB/OCLB: 170g Accessories Included TB-3 storage case, soft cases, AA Batteries, and cleaning sticks Panels & Patchbays CE, FCC, FDA registered FCT-FCLB Hybrid Camera Cable FCT-FC Multichannel Systems United States Patent No.7,113,678 Patent pending in Japan Cable Assemblies Loop-back Quick Reference (Typical Attenuation Value) Under 200m 1.2 2.2 3.2 4.2 5.2 6.2 7.2 8.2 9.2 10.2 11.2 12.2 13.2 14.2 15.2 500m 1.5 2.5 3.5 4.5 5.5 6.5 7.5...

Model Description. ‌ The binary classifier aims to detect which patients belong to the high increasing QoL trajectory (positive class) during the 18 month period from baseline. The negative class emerges from the grouping of the low decreasing and moderate QoL trajectory clusters identified during trajectory analysis (D4.3b), as depicted in Fig. I5.

Model Description. Suppose that there are G groups of individuals with ni individuals in the ith group, i = 1, 2, ..., G and j = 1, 2, ..., ni. Let vi be the cluster frailty, β = (β1, β2, ..., βp)T be a parameter vector, xij is an 1 × p vector, h0 (t) be the baseline (the hazard function of the outcome occurring for subjects with risk vector and frailty equal zero). Let δij is the censoring indicator. For the proportional hazards model, the hazard of death at time t for the jth individual in the ith group conditional on vi , is then given by hij (t|xij, vi) = h0 (t) vi exp (xijβ) Sij(t|xij, vi) is the survival function of an individual conditional on the frailty vi and risk covariate vector xij and is given by Sij(t|xij, vi) = exp (−Hij(t|xij, vi)) 0 −h0 u vi xijβ du = exp  t ( ) exp ( ) = exp [−H0(t)vi exp (xijβ)] . The marginal survivor function will be Sp (t) = E [S (t|x, v)] = E [exp (−H0(t) exp (xβ) v)] = v exp (−vH0(t) exp(xβ)) g(v)dv This is referred to as marginal survivor function (Hougaard, 2000) because it is the ob- served population survivor function after v has been integrated out. Therefore to derive this function we have to specify a distribution for v say g(v) which has a positive support, mean of 1 and variance θ. The variance θ determines the degree of heterogeneity (vari- ability) in the population. Individuals with vi > 1 are at a higher risk of experiencing the event (for negative events) and vice versa. Integrating out the frailty reduces the problem to estimating the frailty variance. Therefore the goal is to estimate the frailty variance θ. Let ξ contain the parameters of the baseline e.g for exponential baseline ξ = λ and for a Weibull hazard ξ = (λ, ρ). The conditional likelihood for the ith cluster is given by Li(ξ, β|vi) = ni  | | [hij(t xij, vi)]▇▇▇ ▇▇▇(t xij, vi)  − j=1 ni [h0 (t) vi exp (xijβ)]δij exp [ H0(t) exp (xijβ) vi] . (2.9)

Model Description. The SCM is described in Fuglestvedt and Berntsen (1999) used in ▇.▇. ▇▇▇▇▇▇▇▇▇▇▇ et al. (2000). The model incorporates a scheme for CO2 from ▇▇▇▇ et al. (1996) and an energy-balance climate/up-welling diffusion ocean model developed by ▇▇▇▇▇▇▇▇▇▇▇ et al. (1992). The CO2 module uses an ocean mixed-layer pulse response function that characterizes the surface to deep ocean mixing in combination with a separate equation describing the air-sea exchange based on the ▇▇▇▇▇ model (▇▇▇▇▇▇▇▇▇▇▇▇ and ▇▇▇▇, 1992) to account for non-linearities in the carbon chemistry in the ocean.

Model Description. RT ▇▇ = 𝑗0 ∗ 𝑒 η ▇▇ = −𝑗0 ∗ 𝑒−αnF𝜂 j=▇▇+▇▇ η=E − 𝐸eq

Model Description. The Enviro-HIRLAM (Environment – High Resolution Limited Area Model) is an online coupled numerical weather prediction and atmospheric chemical transport modelling system for research and forecasting of both meteorological and chemical weather (Korsholm et al 2008; ▇▇▇▇▇▇▇▇ et al., 2009; ▇▇▇▇▇▇▇▇ et al., 2008). The meteorological and chemistry model solve the governing equations describing the main processes: emission, advection, horizontal and vertical diffusion, wet and dry deposition, convection, chemistry and aerosol feedbacks. The system realisation includes the nesting of domains for higher resolutions, different types of urbanization; implementation of chemical mechanisms and aerosol dynamics and feedback mechanisms). Natural land covers are simulated by the Interaction Soil-Biosphere-Atmosphere (ISBA) land surface scheme, originally developed by Noilhan and ▇▇▇▇▇▇▇ (1989) and further up-dated in the HIRLAM model as modified by ▇▇▇▇▇▇ et al. (2005) to include the urban effects implementing the Building Effect Parameterization (BEP, ▇▇▇▇▇▇▇▇ et al., 2002) module. BEP represents the city by a combination of several urban districts. Each district is classified as a combination of multiple streets and buildings of constant widths but with different heights and with similar thermo-dynamical characteristics. The parameterization includes computation of contributions from every facet of the urban substrate (street canyon floor, roofs and walls of buildings) for the momentum, heat and turbulent kinetic energy equation separately as contributions of the vertical surfaces (building walls) as well as horizontal surfaces (floors and roofs).

Model Description μ̅𝑖 = μ𝑖 + 𝑧𝑖𝐹𝛟 𝛟 = 𝛟0⁄𝑥- this dependence of the potential is for simplicity and should be used only for calculation,