Extraction Scheme of Function Information in Stripped Binaries using LSTM

Highly porous ceramics are employed in a variety of engineering applications due to their unique mechanical, optical, and electrical characteristics. In order to achieve proper design and function, information about the pore structure must be obtained. Parameters of importance include pore size, pore volume, and size distribution, as well as pore texture and geometry. A quantitative determination of these features for high porosity materials by a microscopic technique is usually not done because artifacts introduced by either the sample preparation method or the image forming process of the microscope make interpretation difficult.Scanning electron microscopy for both fractured and polished surfaces has been utilized extensively for examining pore structures. However, there is uncertainty in distinguishing between topography and pores for the fractured specimen and sample pullout obscures the true morphology for samples that are polished. In addition, very small pores (nm range) cannot be resolved in the S.E.M. On the other hand, T.E.M. has better resolution but the specimen preparation methods involved such as powder dispersion, ion milling, and chemical etching may incur problems ranging from preferential widening of pores to partial or complete destruction of the pore network.

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ІНФОРМАЦІЙНА ФУНКЦІЯ АРТ-РИНКУ В КОНТЕКСТІ СУЧАСНОГО УКРАЇНСЬКОГО МИСТЕЦТВА (НА ПРИКЛАДІ БІЄНАЛЕ)

УКРАЇНСЬКА КУЛЬТУРА : МИНУЛЕ, СУЧАСНЕ, ШЛЯХИ РОЗВИТКУ (НАПРЯМ: КУЛЬТУРОЛОГІЯ) ◽

10.35619/ucpmk.vi31.230 ◽

2020 ◽

Author(s):

Admink Admink

Keyword(s):

Information Society ◽

Art Market ◽

Organizational Structures ◽

Cultural Activity ◽

Information Structures ◽

Digital Revolution ◽

Function Information ◽

Venice Biennale ◽

Role Of Information

Обґрунтована необхідність розширення культурологічних досліджень арт-ринку з урахуванням останніх культурно-мистецьких тенденцій, а також його наукової концептуалізації у вітчизняній культурології. Враховуючи зростання ролі інформації, арт-ринок набуває нових ціннісно-смислових аспектів, а інтерес до цієї теми потребує культурологічного осмислення. Інформаційна функція арт-ринку актуалізується завдяки формуванню і розвитку інформаційно-технологічної революції, тому має вплив на соціокультурну діяльність митців та презентацію їхнього мистецтва. Функцію інформування на арт-ринку виконують організаційні структури, серед яких виділено виставки та бієнале. Проаналізовано проєкти українських митців на першій Київській міжнародній бієнале сучасного мистецтва ARSENALE 2012 та проєкт Ж/ Кадирової під час 58 Венеційської бієнале у 2019 р. Ключові слова: арт-ринок, інформаційна функція, інформаційне суспільство, бієнале, Мистецький Арсенал, Арсенале 2012, Венеційське бієнале 2019. The necessity of expanding the cultural researches of the art market, taking into account the latest cultural and art tendencies, is considered, as well as its scientific conceptualization in national cultural studies. The art market is gaining new valuable and semantic meanings, because of the growing role of information. So the interest in this topic requires cultural reflection. The information function of this market is actualized due to the formation and the development of the digital revolution, so it has an impact on the socio-cultural activity of the artists and the presentation of their art. Information structures in the art market are performed by organizational structures, among which exhibitions and biennials are highlighted. The projects of Ukrainian artists from the first Kyiv International Biennale of Contemporary Art ARSENALE 2012 and the project of Zhanna Kadyrova from the 58th Venice Biennale in 2019 are analyzed. Key words: art market, informational function, information society, biennale, Mystetskyi Arsenal, ARSENALE 2012, Venice Biennale 2019.

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iAFP-gap-SMOTE: An Efficient Feature Extraction Scheme Gapped Dipeptide Composition is Coupled with an Oversampling Technique for Identification of Antifreeze Proteins

Letters in Organic Chemistry ◽

10.2174/1570178615666180816101653 ◽

2019 ◽

Vol 16 (4) ◽

pp. 294-302 ◽

Cited By ~ 6

Author(s):

Shahid Akbar ◽

Maqsood Hayat ◽

Muhammad Kabir ◽

Muhammad Iqbal

Keyword(s):

Feature Extraction ◽

Amino Acid ◽

Antifreeze Proteins ◽

Protein Sequences ◽

Sampling Technique ◽

Lower Class ◽

Success Rates ◽

Throughput Model ◽

Extraction Scheme ◽

Living Organisms

Antifreeze proteins (AFPs) perform distinguishable roles in maintaining homeostatic conditions of living organisms and protect their cell and body from freezing in extremely cold conditions. Owing to high diversity in protein sequences and structures, the discrimination of AFPs from non- AFPs through experimental approaches is expensive and lengthy. It is, therefore, vastly desirable to propose a computational intelligent and high throughput model that truly reflects AFPs quickly and accurately. In a sequel, a new predictor called “iAFP-gap-SMOTE” is proposed for the identification of AFPs. Protein sequences are expressed by adopting three numerical feature extraction schemes namely; Split Amino Acid Composition, G-gap di-peptide Composition and Reduce Amino Acid alphabet composition. Usually, classification hypothesis biased towards majority class in case of the imbalanced dataset. Oversampling technique Synthetic Minority Over-sampling Technique is employed in order to increase the instances of the lower class and control the biasness. 10-fold cross-validation test is applied to appraise the success rates of “iAFP-gap-SMOTE” model. After the empirical investigation, “iAFP-gap-SMOTE” model obtained 95.02% accuracy. The comparison suggested that the accuracy of” iAFP-gap-SMOTE” model is higher than that of the present techniques in the literature so far. It is greatly recommended that our proposed model “iAFP-gap-SMOTE” might be helpful for the research community and academia.

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