Scenario 2 Sample Clauses

Scenario 2. If in the future the sweepings are no longer stored in bays at depots but instead are tipped at SCC managed Transfer Stations, the handling costs will not be incurred by the relevant WCA and handling costs will be incurred by SCC, so the handling payment of £2.76 per tonne will cease. Any saving relating to a reduction from the starting gate fee of £52 per tonne would still be shared on a 50:50 basis.
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Scenario 2. If you have a balance of £100, and the minimum payment we ask you for in your statement is £20, and there is a refund to your account of £90 between your statement date and your payment due date, (or your Direct Debit date, if earlier), then we will reduce the minimum payment needed so that it equals the full remaining balance of £10.
Scenario 2. In the event the Net Settlement Fund is less than the total of the Amounts Allegedly Withheld for all Claimants submitting Valid Claims, but greater than the amount needed to pay each Claimant submitting a Valid Claim his or her Adjusted Amount (specified below), Claimants submitting a Valid Claim will receive Settlement Payments of their Adjusted Amount. The “Adjusted Amount” for each Claimant, based on the Claimant’s “Payment Group” will be defined as follows:
Scenario 2 railway APT declared by a Digital Service Provider This scenario presents information sharing of a cyber-security incident in the network of a DSP. As an external stakeholder (not directly a RST, but a member of the supply chain), the steps and procedures to inform the community are handled by the CHIPR4Rail Platform Operator (CPO). Figure 24: Scenario 2 – Railway APT threat identified by a Digital Service Provider
Scenario 2. The Student Plays a Game‌ As the teacher sets up a lesson plan for the students and authorizes it, the students will be able to access a game with their identification credentials. Figure 4 shows that after logging in, when the student accesses the game from the BEACONING ecosystem, the game loads and the student plays it and learns through the process. The teacher has the option to customize the games
Scenario 2. If the Transferring Customer transfers to a RES that is not an Affiliate of the Seller and not an Affiliate of any of the Buyer’s power suppliers, Buyer shall be entitled to RCOA reduction provided that: a. The Transferring Customer was an existing captive customer of the Buyer prior to COD; b. The average monthly demand of the Transferring Customer for the 12 months immediately preceding the switching date c. Buyer’s RCOA Reduction quantity shall be computed using the following formula: Formula: 𝐵𝑀𝑊 𝐴𝑀𝑊 = [ ] ∗ [𝐸𝑀𝑊] ∑ 𝐶𝑀𝑊 + 𝐷𝑊𝐸𝑆𝑀𝑀𝑊 𝐴𝑀𝑊 – Seller Carve-Out (in MW) which is equivalent to the reduction of Contracted Capacity due to switching of Contestable Customer (yearly basis from interval 0001H-2400H) ��𝑀𝑊 – Contract Capacity (in MW) prior to the reduction date ∑ 𝐶𝑀𝑊 – Current Aggregated Capacity (in MW) of suppliers contracted by Buyer, immediately prior to the reduction date 𝐷𝑊𝐸𝑆𝑀𝑀𝑊– Annual Average Exposure (Purchases, in MW) of Buyer to the Wholesale Electricity Spot Market, immediately prior to the reduction date 𝐸𝑀𝑊 – Capacity for Switching (in MW), equivalent to the Average Demand of contestable customers for the 12 months immediately preceding the reduction date. The Contract Capacity and Associated Energy shall be reduced equivalent to the reduction in the demand of affected ECs by reason of the implementation of Retail Competition and Open Access, the Renewable Energy Law, orother relevant Laws and Legal Requirements.
Scenario 2. Intelligent citizen portals connected across Europe using chatbot interface for easy interaction with citizens The scenario "Intelligent citizen portals connected across Europe using chatbot interface for easy interaction with citizens" details a possible use of AI and machine learning coupled with natural language processing technology, realizing a chatbot interface for better cross-border public services. Figure 5 illustrates a scenario when a citizen wants to relocate to a different country. Relocating to another country or similar action involving two or more different countries often carry high administrative burden. Citizens not only have to organize many documents over a short period of time, but also have to consider the different regulations of their home compared to the destination country. In the future, the use of intelligent citizen portals with chatbot interface simplifies the organisation of complicated procedures involving authorities in multiple countries. Figure 5. Scenario "Intelligent citizen portals connected across Europe using chatbot interface for effective interaction with citizens" A citizen uses a smartphone to contact the government chatbot and requests help with the process. The citizen can send messages written in natural language without the need to use specific commands. The chatbot then processes the text using Natural Language Processing and AI to understand the meaning of the request and provides relevant answer. In further future, the chatbot can even process the voice commands and provide answers. The chatbot acts as an interface connecting a citizen to the intelligent portal. The portal is designed in a way to interoperate with other portals and databases across Europe. If eID is used by the citizen, the portal application can then use it to access the relevant information across borders (according to the Once Only Principle). The application can also identify the missing information required for the relocation of the citizen and ask necessary questions to gather this information. Furthermore, the intelligent portal can automatically complete foreign forms and help with understanding the specific terms, aiding through the conversation with a chatbot. Based on the Once only principle, AI, NLP and the intelligent citizen portal, relocating abroad (and other similar cross-border formalities) is no longer a complicated matter for the citizen and for public authorities. Additionally, the chatbot itself can be realised as a ...
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Scenario 2. Different population, similar or same data source Data and estimates from similar sources, pooled over different populations. The most common example of such a situation is provided by highly standardised and comparable multi-country surveys, such as the EU- LFS, ECHP and EU-SILC in the European Union. In practice, it is useful to distinguish between two sub-types within this scenario. This depends on whether the process primarily involves
Scenario 2. PTC exploits the Programme Intellectual Property on a For-Profit Basis through outlicensing of a Product to a Third Party on a worldwide, exclusive basis prior to Regulatory Approval. ​
Scenario 2. IPH’s payment to NN of royalties on Net Sales of any Niche Candidate that IPH develops independently of NN commencing after such Niche Candidate attains M1 status and subsequently commercializes shall be: ***
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