Xps Valence State Determination of Np And Pu in Multicomponent Borosilicate Glass and Application to Leached 76–68 Waste Glass Surfaces

1981 ◽  
Vol 6 ◽  
Author(s):  
D. P. Karim ◽  
D. J. Lam ◽  
H. Diamond ◽  
A. M. Friedman ◽  
D. G. Coles ◽  
...  
Keyword(s):  
Initial Period ◽  
Radioactive Waste Disposal ◽  
Special Importance ◽  
Short Term ◽  
State Determination ◽  
Deep Underground ◽  
High Level ◽  
Glass Surfaces

Current plans for high-level radioactive waste disposal call for long term emplacement of canisters of a suitably leach resistant waste form in deep underground repositories. Proposed regulations [11] call for canisters with a designed lifetime of 1000 years. After this initial period, most of the remaining activity in the waste will be associated with the actinide elements. Thus, the leach behavior of the actinides takes on special importance. In particular, the leaching mechanisms must be understood if we are to attach any confidence to long term predictive extrapolation of short term leach tests. The actinides, unlike the rare earths, are not particularly similar in chemical behavior nor is their behavior reliably modeled by that of other elements. Thus, more studies directed toward the behavior of the actinides in candidate waste forms are important.

Hydrolysis of trivalent plutonium and solubility of Pu(OH)3(am) under electrolytic reducing conditions

2016 ◽  
Vol 45 (48) ◽  
pp. 19449-19457 ◽  
Author(s):  
Hye-Ryun Cho ◽  
Young-Sang Youn ◽  
Euo Chang Jung ◽  
Wansik Cha
Keyword(s):  
Radioactive Waste ◽  
Waste Disposal ◽  
Safety Assessment ◽  
Radioactive Waste Disposal ◽  
Reducing Conditions ◽  
System P ◽  
High Level ◽  
Hydrolysis Of

This paper focusses on the determination of the thermodynamic data of Pu(iii) hydrolysis, which are important for a long-term safety assessment of high-level radioactive waste disposal in a deep geological system.

From Users’ Intentions to IF-THEN Rules in the Internet of Things

2021 ◽  
Vol 39 (4) ◽  
pp. 1-33
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
The Internet ◽  
Short Term ◽  
Real World Data ◽  
Original Intention ◽  
Recommendation Accuracy ◽  
High Level ◽  
The Internet Of Things

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of trigger-action rules such as “IF the entrance Nest security camera detects a movement, THEN blink the Philips Hue lamp in the kitchen.” Unfortunately, the spread of new supported technologies makes the number of possible combinations between triggers and actions continuously growing, thus motivating the need of assisting users in discovering new rules and functionality, e.g., through recommendation techniques. To this end, we present , a semantic Conversational Search and Recommendation (CSR) system able to suggest pertinent IF-THEN rules that can be easily deployed in different contexts starting from an abstract user’s need. By exploiting a conversational agent, the user can communicate her current personalization intention by specifying a set of functionality at a high level, e.g., to decrease the temperature of a room when she left it. Stemming from this input, implements a semantic recommendation process that takes into account ( a ) the current user’s intention , ( b ) the connected entities owned by the user, and ( c ) the user’s long-term preferences revealed by her profile. If not satisfied with the suggestions, then the user can converse with the system to provide further feedback, i.e., a short-term preference , thus allowing to provide refined recommendations that better align with the original intention. We evaluate by running different offline experiments with simulated users and real-world data. First, we test the recommendation process in different configurations, and we show that recommendation accuracy and similarity with target items increase as the interaction between the algorithm and the user proceeds. Then, we compare with other similar baseline recommender systems. Results are promising and demonstrate the effectiveness of in recommending IF-THEN rules that satisfy the current personalization intention of the user.

scholarly journals A Framework for Property Developers to Survive in a Recession

10.29007/cfr2 ◽  
2018 ◽  
Author(s):  
Zunoon Parambath ◽  
Nilupa Udawatta
Keyword(s):  
Survival Strategies ◽  
Economic Activities ◽  
Short Term ◽  
Property Development ◽  
Market Shares ◽  
Negative Impacts ◽  
Set Up ◽  
High Level ◽  
Property Developers

Recession is considered as a major threat to the economy as it slows down economic activities. The property development sector is extremely responsive to these economic conditions. Thus, it is crucial to understand causes, effects and strategies for property developers to survive in a recession without any ill effects. Thus, this research aimed to develop a framework for property developers to identify appropriate survival strategies in recession. A comprehensive literature review was conducted in this research to achieve the above mentioned aim. The results of this study indicated that recession prompts negative impacts on property development sector resulting in unemployment, lower demand, production and revenue, decline in resources and high level of competition. According to the results, the survival strategies were classified into short-term and long-term strategies. The short term strategies include: implementing management tactics, cut down of operating costs, keeping financing lines set up, timely repayment of debts, setting vital new objectives for the future, undertaking shorter time span developments, specialisation in favoured market, renegotiating deals and contracts. The long-term strategies include retrenchment, restructuring, investment and ambidextrous strategies. Similarly, attention should be paid to predict any changes in the economic environment that can influence property development activities and it is necessary to carefully evaluate investment activities to increase sales, profits and market shares of property developers. Preparing for a crisis is doubtlessly the ideal approach as it can facilitate both survival and growth. Thus, the property developers can implement these suggested strategies in their businesses to enhance their practices.

scholarly journals Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption

2020 ◽  
Vol 34 (05) ◽  
pp. 9571-9578 ◽  
Author(s):  
Wei Zhang ◽  
Yue Ying ◽  
Pan Lu ◽  
Hongyuan Zha
Keyword(s):  
State Of The Art ◽  
Natural Extension ◽  
Target Image ◽  
Short Term ◽  
Image Representations ◽  
High Level ◽  
Image Descriptions ◽  
Shed Light ◽  
Image Caption

Personalized image caption, a natural extension of the standard image caption task, requires to generate brief image descriptions tailored for users' writing style and traits, and is more practical to meet users' real demands. Only a few recent studies shed light on this crucial task and learn static user representations to capture their long-term literal-preference. However, it is insufficient to achieve satisfactory performance due to the intrinsic existence of not only long-term user literal-preference, but also short-term literal-preference which is associated with users' recent states. To bridge this gap, we develop a novel multimodal hierarchical transformer network (MHTN) for personalized image caption in this paper. It learns short-term user literal-preference based on users' recent captions through a short-term user encoder at the low level. And at the high level, the multimodal encoder integrates target image representations with short-term literal-preference, as well as long-term literal-preference learned from user IDs. These two encoders enjoy the advantages of the powerful transformer networks. Extensive experiments on two real datasets show the effectiveness of considering two types of user literal-preference simultaneously and better performance over the state-of-the-art models.

The Shift towards Smart, Green and Integrated Raw Materials Efficiency

2014 ◽  
Vol 718 ◽  
pp. 105-109
Author(s):  
Eva Oravcová ◽  
Miroslav Zelko
Keyword(s):  
Decision Support ◽  
Raw Materials ◽  
Decision Makers ◽  
Short Term ◽  
Supervision System ◽  
Requirements Development ◽  
And Control ◽  
Term Data

Comprehensive environmental observation, eco-innovation and smartization are essential to ensure the delivery of the long-term data and information required to address the shift towards smart, green and integrated raw materials efficiency. For this reason we need the mine-wide digitalization and informatization base model, an advanced mine-wide decision support system and a smart supervision system to supervise and control the production, back to predefined short-term production targets with most likelihood and optimal approaches. There are three main steps to be taken: analysis, evaluation and determination of the shift requirements, development of the models as well as modeling of the scenarios and connection to the smart platform for the support of the decision makers. The paper aims to consider what would be required for a raw materials area to operate as a modern smart technology-supported business. It attempts to provide a vision of some future smart architectures scenarios.

Growing without Pains? Explaining Liberal Democrat MPs' Behaviour

2009 ◽  
Vol 11 (2) ◽  
pp. 259-279 ◽  
Author(s):  
Matt Cole
Keyword(s):  
Group Composition ◽  
National Party ◽  
Short Term ◽  
Contextual Data ◽  
Liberal Democrats ◽  
Composition Structure ◽  
High Level ◽  
Over Time

Recent academic studies and wider commentary on the behaviour of Liberal Democrat MPs have recognised their relatively high level of cohesiveness on whipped votes when compared to that of Labour and the Conservatives, and to the Liberal Democrats' own reputation; but while this trend continues, few studies have focused upon its causes. This article uses the MPs' voting records, personal papers, interviews and wider contextual data to chart the extent of that unity over time, and to explore its origins, including group composition, structure, patronage, relations with the extra-parliamentary party and other parties as well as national party image. It finds the key to this unity in a combination of medium and long-term features of the Liberal and Liberal Democrat group of MPs, rather than a short-term singular determinant.

scholarly journals Methodology of making organizational and technological decisions at the stage of operational management of construction operations based on the forecasting system

2021 ◽  
Vol 2131 (2) ◽  
pp. 022114
Author(s):  
L Zelentsov ◽  
L Mailyan ◽  
D Pirko
Keyword(s):  
Software Package ◽  
Complex Dynamic ◽  
Short Term ◽  
Current Management ◽  
Construction Operations ◽  
Construction Products ◽  
Forecasting System ◽  
High Level ◽  
Cost Parameters

Abstract The article discusses the issues of forecasting two key parameters of an investment and construction project: time and cost, while the building company is considered as a complex dynamic system. Taking into account the long-term nature of the creation of construction products and, as a consequence, the high level of work in progress, the need to use forecasting models is justified, both at short-term planning intervals (week, month) and at longer intervals (quarter, year). The article examines the formalized forecasting methods, gives a characteristic of the methods most widely used in practice. These methods include forecasting based on ARIMA models. DSTU has developed a pilot software package for an intelligent construction management system, which includes a software package for forecasting the time and cost parameters of a construction object at the stages of operational and current management.

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