Energy policy of the Republic of Turkey: expansion in the Eastern Mediterranean by B. D. Nuriev, S. V. Pospelov

“…Another important reason is the desire of official Ankara and the Turkish big business that has taken shape over the past two decades to strengthen its influence in neighboring countries and territories. …”
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Yalta 1945: the Black Sea Straits and the War in the Far East by M. S. Monakov

“…Behind this processes were certain political goals, and when the war began Stalin stopped work on the first "big shipbuilding program" though it did not mean that he refused them. …”
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A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods by Meng Meng, Kun Zhu, Keqin Chen, Hang Qu

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Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding by Dong-wei Xu, Yong-dong Wang, Li-min Jia, Gui-jun Zhang, Hai-feng Guo

“…Wide-ranging applications of road traffic detection technology in road traffic state data acquisition have introduced new challenges for transportation and storage of road traffic big data. In this paper, a compression method for road traffic spatial data based on LZW encoding is proposed. …”
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Howard S. Becker - Kanıt by Engin Durukan Abdulhakimoğulları

“…Günümüzde anket, mülakat, doküman incelemesi, kurumların tuttuğu istatistiki veriler gibi geleneksel veri toplama yöntemleri ve kaynaklarının yanı sıra büyük veri (big data) olarak adlandırılan internet temelli yeni veri kaynakları da bulunmaktadır. …”
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Graph clustering method based on structure entropy constraints by Zhiying ZHANG, Youliang TIAN

“…Aiming at the problem of how to decode the true structure of the network from the network embedded in the large-scale noise structure at the open information sharing platform centered on big data, and furthermore accurate mining results can be obtained in the mining related information process, the method of clustering based on structure entropy was proposed to realize divide the correlation degree of nodes in the graph.A solution algorithm for calculating two-dimensional structural information and a module division algorithm based on the principle of entropy reduction were proposed to divide the nodes in the graph structure to obtain corresponding modules.The K-dimensional structural information algorithm was used to further divide the divided modules to realize the clustering of nodes in the graph structure.An example analysis shows that the proposed graph clustering method can not only reflect the true structure of the graph structure, but also effectively mine the degree of association between nodes in the graph structure.At the same time, the other three clustering schemes are compared, and the experiment shows that this scheme has higher efficiency in execution time and guarantees the reliability of the clustering results.…”
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Animal Objects: Memory, Desire and Mourning by Julia Courtney

“…Hunting trophies, taxidermic mounts and domestic objects made from preserved dismembered parts, allowed retired colonial ‘Nimrods’ and intrepid ‘Dianas’ to relive the vivid experiences of big game hunting. At the same time disembodied claws, teeth and horns carried an erotic charge when transformed into lovers’ gifts, while the sensuous reaction to animal skins can be seen in contemporary art and fiction. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

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Chandipura virus: The 2024 resurgence and Gujarat outbreak by Rabin Debnath, Pooja A Chawla

“…Acute encephalitis syndrome, which mostly affects children and has a high death rate, has been associated with Chandipura virus, an arbovirus largely spread by sandflies (Phlebotomus spp.). …”
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New Analyses of Duopoly Game with Output Lower Limiters by Zhaohan Sheng, Jianguo Du, Qiang Mei, Tingwen Huang

“…Numerical experiments show that the output evolution system having lower limiters becomes more robust than without them, and chaos disappears if the lower limiters are big enough. The local or global stability of the conditional equilibrium points provides a theoretical basis for the limiter control method of chaos in economic systems.…”
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Incremental Fuzzy Clustering Based on Feature Reduction by Yongli Liu, Yajun Zhang, Hao Chao

“…In the era of big data, more and more datasets are gradually beyond the application scope of traditional clustering algorithms because of their large scale and high dimensions. …”
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A Critique on the Translation of the Book “A Fiscal History of Iran in the Safavid and Qajar Periods” By Willem Floor by Amin mohammadi

“…We find out that being unfamiliar with some aspects of the text such as political history, historical geography, financial idioms and terminology, and documentation causes some big mistakes in translation, and all the readers, writers, and translators get mixed up.…”
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Impact of digital transformation on the competitive advantage of companies by Zimonjić Marijana

“…Key factors of digital transformation, as well as ways in which technologies such as artificial intelligence, big data, automation, and cloud computing enable companies to improve their operations, innovate products and services, and achieve sustainable competitive advantage in the market. …”
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An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides by Raid Rafi Omar Al-Nima, Marwa Mawfaq Mohamedsheet Al-Hatab, Maysaloon Abed Qasim

“…However, it seems that there is still a need to propose a new approach for verifying humans, especially after the recent big wars, where too many people lost and die. This approach should have the capability to provide high personal verification performance. …”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…Random forest algorithm and BigML were employed to analyze and classify datasets containing crop features that generated subclasses based on random crop feature parameters. …”
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Research on the security of national secret algorithm based compute first networking by Jie PAN, Lan YE, Pengfei ZHANG, Zhonggui BU

“…With the promotion of national secret algorithm, in-depth research on the arithmetic network was carried out, a more efficient and reasonable security scheme for the arithmetic network was proposed, ensuring the data security and privacy of the arithmetic network with the help of the state secret algorithm.The main elements of the design program included: Supporting arithmetic demand and cryptographic invocation through the underlying resources, the arithmetic orchestration layer provided the ability to orchestrate data arithmetic, meanwhile, the arithmetic scheduling layer intelligently discerned the optimal nodes for arithmetic resource scheduling and allocation; the cryptographic reinforcement layer used the national secret algorithm based on hardware support with the help of public key cryptosystem, hash function, digital envelope, homomorphic encryption, blockchain and other technologies.Focusing on arithmetic network access security, transmission security, data security and privacy protection aspects of security implementation.An architecture and application form was innovatively proposed to guarantee the data security of the arithmetic network, which could meet the needs of the application layer arithmetic in the scenarios of big data, intelligent technology, etc..The security of the arithmetic network is enhanced by empowering the arithmetic network through the state-secret algorithm.…”
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Construction of diffusion layers based on cipher structures by Peng-fei LI

“…Taked diffusion layers of block cipher algorithms as the research object,lightweight diffusion layers were constructed by two cipher structures based on the characteristics of diffusion layers of lightweight block cipher algorithms,which were the construction of software-oriented diffusion layers based on Feistel structure and the construction of hardware-oriented diffusion layers based on LFSR.Lightweight involution diffusion layers with branch numbers 7 over eight 4-bit and 8-bit S-boxes were constructed by 3-round Feistel structure and the round functions adopt linear transformations with rotation and XORs.Some suboptimal diffusion layers over four 4 bit and 8 bit S-boxes and diffusion layers with branch numbers 7 over eight 4 bit and 8 bit S boxes based on LFSR were constructed.In addition,6,7,8 dimension MDBL matrices and many 16,18,32 dimension binary matrices with big dimension and branch numbers 7,7,12 based on LFSR were constructed.The experimental results have high practical significance in realm of the design of block cipher algorithms.…”
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ROLE OF RADIOGRAPHER IN HANDLING COVID-19 AT CT SCAN ROOM DURING PANDEMIC by Aisyatun Mardliyyah, Anggraini Dwi Sensusiati, Amilia Kartika Sari

“…Background: Radiographers have a big role in handling COVID-19 during the pandemic. …”
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The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction by Jiazhen Zhang, Wei Chen, Xiulai Wang

“…Aiming at the optimization of the big data infrastructure in China’s healthcare system, this study proposes a lightweight time series physician demand prediction model, which is especially suitable for the field of telemedicine. …”
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Mathematical Modeling and Simulation of Online Teaching Effect Evaluation Based on Decision Tree Algorithm by Pingli Sun

“…With the support of big data technology, the field of education is also facing new problems and opportunities. …”
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