Trade Construction and Development Costs Versus Budget

1991 ◽  
pp. 205-208
Author(s):  
William Duncan
Keyword(s):  
Development Costs

THE SOIL PATTERN AND TRENDS IN WEST COAST AGRICULTURE SINCE 1964

1981 ◽  
pp. 19-28 ◽  
Author(s):  
D.B. Wright
Keyword(s):  
West Coast ◽  
Land Development ◽  
Dairy Production ◽  
Waste Land ◽  
Development Costs ◽  
Coastal Soils ◽  
Physical Features ◽  
Soil Pattern ◽  
Great Scope

The physical features, climate and soils of the West Coast are described. Expansion since 1964 of dairy production, sheep and beef cattle numbers, and areas of improved grassland are highlighted, as is the role of the Crown in land development and settlement. While isolation and distance, development costs, river problems, and farmer attitude and knowledge are considered limitations, great scope exists for increased production by the adoption, of more intensive techniques, including horticulture on the best coastal soils, and by development of waste land.

ASSESSMENT OF OIL WELL PRODUCTIVITY IN LOW-PERMEABILITY RESERVOIRS IN THE FIELDS OF EASTERN SIBERIA

2017 ◽  
pp. 30-36
Author(s):  
R. V. Urvantsev ◽  
S. E. Cheban
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Oil And Gas ◽  
Oil Extraction ◽  
Low Permeability ◽  
Oil Well ◽  
Eastern Siberia ◽  
Development Costs ◽  
Traditional Fields ◽  
Low Permeability Reservoirs

The 21st century witnessed the development of the oil extraction industry in Russia due to the intensifica- tion of its production at the existing traditional fields of Western Siberia, the Volga region and other oil-extracting regions, and due discovering new oil and gas provinces. At that time the path to the development of fields in Eastern Siberia was already paved. The large-scale discoveries of a number of fields made here in the 70s-80s of the 20th century are only being developed now. The process of development itself is rather slow in view of a number of reasons. Create a problem of high cost value of oil extraction in the region. One of the major tasks is obtaining the maximum oil recovery factor while reducing the development costs. The carbonate layer lying within the Katangsky suite is low-permeability, and its inventories are categorised as hard to recover. Now, the object is at a stage of trial development,which foregrounds researches on selecting the effective methods of oil extraction.

A HISTORICAL REVIEW OF THE ACCOUNTING TREATMENT OF RESEARCH AND DEVELOPMENT COSTS

1992 ◽  
Vol 19 (1) ◽  
pp. 51-78 ◽  
Author(s):  
Paul E. Nix ◽  
David E. Nix
Keyword(s):  
United States ◽  
Research And Development ◽  
Alternative Treatment ◽  
Historical Review ◽  
The United States ◽  
Current Treatment ◽  
Social Consequences ◽  
Financial Accounting ◽  
Development Costs ◽  
Accounting Rules

This study reviews the literature and the practice of accounting for research and development (R&D) costs from the first reference in 1917 to the current treatment. The conceptual treatment of R&D is compared to current financial accounting rules and explanation of the evolution of the current rules is presented. The economic and social consequences of the current rules which require R&D costs to be expressed are examined. The paper explores possible alternative treatment of R&D costs. As a contrast to U.S. practice, the accounting treatment of R&D costs in other countries is discussed. Given the findings of this paper, a strong case can be made for changing the way that R&D costs are accounted for in the United States.

scholarly journals Transformer-based artificial neural networks for the conversion between chemical notations

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lev Krasnov ◽  
Ivan Khokhlov ◽  
Maxim V. Fedorov ◽  
Sergey Sosnin
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Rapid Development ◽  
Performance Level ◽  
Rule Based ◽  
Development Costs ◽  
Overall Performance ◽  
Artificial Neural

AbstractWe developed a Transformer-based artificial neural approach to translate between SMILES and IUPAC chemical notations: Struct2IUPAC and IUPAC2Struct. The overall performance level of our model is comparable to the rule-based solutions. We proved that the accuracy and speed of computations as well as the robustness of the model allow to use it in production. Our showcase demonstrates that a neural-based solution can facilitate rapid development keeping the required level of accuracy. We believe that our findings will inspire other developers to reduce development costs by replacing complex rule-based solutions with neural-based ones.

scholarly journals Two-Pass Technique for Clone Detection and Type Classification Using Tree-Based Convolution Neural Network

2021 ◽  
Vol 11 (14) ◽  
pp. 6613
Author(s):  
Young-Bin Jo ◽  
Jihyun Lee ◽  
Cheol-Jung Yoo
Keyword(s):  
Neural Network ◽  
Average Rate ◽  
Convolution Neural Network ◽  
Clone Detection ◽  
Code Clones ◽  
Classification Technique ◽  
Development Costs ◽  
Code Quality ◽  
Type Information ◽  
Type Classification

Appropriate reliance on code clones significantly reduces development costs and hastens the development process. Reckless cloning, in contrast, reduces code quality and ultimately adds costs and time. To avoid this scenario, many researchers have proposed methods for clone detection and refactoring. The developed techniques, however, are only reliably capable of detecting clones that are either entirely identical or that only use modified identifiers, and do not provide clone-type information. This paper proposes a two-pass clone classification technique that uses a tree-based convolution neural network (TBCNN) to detect multiple clone types, including clones that are not wholly identical or to which only small changes have been made, and automatically classify them by type. Our method was validated with BigCloneBench, a well-known and wildly used dataset of cloned code. Our experimental results validate that our technique detected clones with an average rate of 96% recall and precision, and classified clones with an average rate of 78% recall and precision.

scholarly journals Repurposing of Antimicrobial Agents for Cancer Therapy: What Do We Know?

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3193
Author(s):  
Christina Pfab ◽  
Luisa Schnobrich ◽  
Samir Eldnasoury ◽  
André Gessner ◽  
Nahed El-Najjar
Keyword(s):  
Clinical Trials ◽  
Antimicrobial Agents ◽  
Large Body ◽  
Drug Repurposing ◽  
Extensive Discussion ◽  
Attrition Rates ◽  
Beneficial Effects ◽  
Stage Of Development ◽  
Development Costs ◽  
Approved Drugs

The substantial costs of clinical trials, the lengthy timelines of new drug discovery and development, along the high attrition rates underscore the need for alternative strategies for finding quickly suitable therapeutics agents. Given that most approved drugs possess more than one target tightly linked to other diseases, it encourages promptly testing these drugs in patients. Over the past decades, this has led to considerable attention for drug repurposing, which relies on identifying new uses for approved or investigational drugs outside the scope of the original medical indication. The known safety of approved drugs minimizes the possibility of failure for adverse toxicology, making them attractive de-risked compounds for new applications with potentially lower overall development costs and shorter development timelines. This latter case is an exciting opportunity, specifically in oncology, due to increased resistance towards the current therapies. Indeed, a large body of evidence shows that a wealth of non-cancer drugs has beneficial effects against cancer. Interestingly, 335 drugs are currently being evaluated in different clinical trials for their potential activities against various cancers (Redo database). This review aims to provide an extensive discussion about the anti-cancer activities exerted by antimicrobial agents and presents information about their mechanism(s) of action and stage of development/evaluation.

scholarly journals A viability criterion for computer system development projects

1984 ◽  
Vol 15 (3) ◽  
pp. 144-149
Author(s):  
J. Mende
Keyword(s):  
Computer System ◽  
Cost Of Capital ◽  
System Development ◽  
Development Project ◽  
Development Projects ◽  
Organizational Growth ◽  
Net Worth ◽  
Development Costs ◽  
Processing Cost ◽  
Informational Value

A manager facing the decision whether to proceed with a proposed computer system development project needs to determine whether its benefits are worth more than its costs. This can be done by applying a simple mathematical formula to calculate the project's 'net worth', as the sum of the annual benefits obtainable during the system's life span, less its development costs. The formula recognizes that a system's annual benefit, comprising enhanced informational value plus reduction In data processing cost, will change as a result of obsolescence, cost of capital, organizational growth and learning.

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