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1921
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Pharmaceutics ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 193
Author(s):  
Taotao Huo ◽  
Wenshuai Li ◽  
Dong Liang ◽  
Rongqin Huang

An ideal cancer diagnostic probe should possess precise tumor-targeted accumulation with negligible sojourn in normal tissues. Herein, tumor cell-derived carbon nanodots (C-CNDU87 and C-CNDHepG2) about 3~7 nm were prepared by a solvothermal method with stable fluorescence and negligible cytotoxicity. More interestingly, due to the differences in gene expression of cancers, C-CND structurally mimicked the corresponding precursors during carbonization in which carbon nanodots were functionalized with α-amino and carboxyl groups with different densities on their edges. With inherent homology and homing effect, C-CND were highly enriched in precursor tumor tissues. Mechanistic studies showed that under the mediation of the original configuration of α-amino and carboxyl groups, C-CND specifically bound to the large neutral amino acid transporter 1 (LAT1, overexpressed in cancer cells), achieving specific tumor fluorescence imaging. This work provided a new vision about tumor cell architecture-mimicked carbon nanodots for tumor-targeted fluorescence imaging.


2022 ◽  
Vol 1 (15) ◽  
pp. 12-14
Author(s):  
Dmitriy Babich ◽  
Valeriy Sartakov

Structuring of the undergraduate program block related to the practical training traversed by students at electric power enterprises in the light of a new vision for the training of a modern engineer using the Moodle distance learning system and modern case study methodology is considered.


2022 ◽  
Vol 306 ◽  
pp. 130878
Author(s):  
Marcia Regina Salvadori ◽  
Rômulo Augusto Ando ◽  
Benedito Corrêa

2022 ◽  
pp. 945-968
Author(s):  
Kireeti Kompella

This chapter presents a new vision of network operations, the self-driving network, that takes automation to the next level. This is not a description of existing work; rather, it is a challenge to dramatically rethink how we manage networks (or rather, how we do not manage networks). It draws upon an analogy with the development of self-driving cars and presents motivations for this effort. It then describes the technologies needed to implement this and an overall architecture of the system. As this endeavor will cause a major shift in network management, the chapter offers an evolutionary path to the end goal. Some of the consequences and human impacts of such a system are touched upon. The chapter concludes with some research topics and a final message. Key takeaways are that machine learning and feedback loops are fundamental to the solution; a key outcome is to build systems that are adaptive and predictive, for the benefit of users.


2021 ◽  
pp. 61-64
Author(s):  
V. KRAVCHENKO ◽  
H. SOSOI ◽  
S. DEINEKA

This article presents a study of the concept EUROPE, done in the area of cognitive linguistics. The concept EUROPE is considered a conceptual quantum of structured knowledge, possessing of different meanings. The article analyzes the concept EUROPE from a linguistic point of view, which allowed to reveal a number of specific features of its semantics, to get a more comprehensive and diverse view of it by constructing cognitive schemes implementing concept EUROPE, as well as to identify basic metaphorical models. Involvement of methods of conceptual analysis allows to present the analised concept in the form of a certain conceptual model, a special way organized conceptual scheme. With the help of the conceptual model of the Subject frame the cognitive dynamics of the concept development in the European integration discourse is revealed. Political metaphor is one of the most common and effective policy tools. The research material is characterized by the use of metaphors belonging to such basic types, which are related to the reference spheres as the sociomorphic sphere, the anthropomorphic sphere, the sphere of artifacts and the sphere of nature. Conceptual metaphors of European integration discourse use in their codes the conceptual fields “space”, “travel”, “movement”, “construction”, “work results”, “family relations”, “nature”, “sports”, “art”, etc.


Author(s):  
M. B Shvetsova

Purpose. The article is aimed to outline Locke’s position on the basic principles of proper human behavior. Its implementation involves: a) review of the research literature concerning the place of anthropological motive in philosophizing and b) research of his interpretation of human nature and the role of the rational component. Theoretical basis. The author’s approach is based on the conceptual provisions of phenomenology and existentialism. Originality. The work considers the teaching of Locke as the author of the original concept of human nature, which is closely related to the understanding of ethical issues. It is proved that its meaningful development involves the identification of the main components of human nature in the process of determining the basic principles of personality behavior. The original conception of the thinker on the irrational component of human nature and the ways of its rationalization is analyzed. Conclusions. It is substantiated that Locke’s philosophical heritage is not reduced to depersonalized empiricism as epistemology, and his teaching about human is not limited to the abstract study of their rational component. The thinker connects the request of his own epoch with the new vision of human and the basic principles of their behavior on the basis of rationality. Locke is looking for the ways to master the irrational component of human nature and is convinced that in the era of the scientific revolution, the basis of human behavior should be rationality. Locke considers human freedom to be one of the key moments of human nature.


2021 ◽  
Vol 20 (1) ◽  
pp. 46-55
Author(s):  
Viktoriia Pysmak ◽  
Lidiya Mazhnyk ◽  
Tetiana Sigaieva

The development of the national economy and its components in modern conditions is increasingly dependent on technological shifts based on innovation. The ability to form and effectively use potential is becoming a decisive factor in enhancing the competitiveness and development of enterprises. The development of managerial capacity will allow enterprises to adapt quickly to new environmental conditions and make effective management decisions. With the transformation of the economic system towards social orientation, there is a transition from outdated forms of enterprise potential management to a new vision of the quality of management potential. Basic approaches to assessing the quality of management potential in its innovative development were formed. The main features of the innovative development of managerial potential were identified. The main features of the development of innovative management potential were determined. A basic structure for management potential innovative development measures was proposed, which regulates that a company’s policy in the field of improving the efficiency of management capacity is a subordinate element of the general strategy of an enterprise, but at the same time it is necessary to monitor the balance between economic performance and social justice.


2021 ◽  
Vol 79 (4) ◽  
pp. 361-364
Author(s):  
Ana Marcos-Pinto ◽  
Angela Roda ◽  
Luís Soares-de-Almeida ◽  
Rui Oliveira Soares

Folliculitis decalvans and lichen planopilaris have been considered two distinct cicatricial alopecias. However, biphasic presentation of folliculitis decalvans - lichen planopilaris in the same patient has been recently described, therefore raising the doubt if they are two distinct entities or a continuous phenotypic spectrum.We describe the case of a man who presented clinical, trichoscopic, and histopathological features of both entities. Moreover, we discuss current theories about the pathogenesis of the two diseases and their coexistence in the same patient. The recognition of similar cases allows to optimize the approach and treatment.  


2021 ◽  
Vol 14 (1) ◽  
pp. 10
Author(s):  
Leonardo Ranaldi ◽  
Francesca Fallucchi ◽  
Fabio Massimo Zanzotto

Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. The structure of symbols—the operations by which the intellectual solution is realized—and the search for strategic reference points evoke important issues in the analysis of AI. Studying how knowledge can be represented through methods of theoretical generalization and empirical observation is only the latest step in a long process of evolution. For many years, humans, seeing language as innate, have carried out symbolic theories. Everything seems to have skipped ahead with the advent of Machine Learning. In this paper, after a long analysis of history, the rule-based and the learning-based vision, we would investigate the syntax as possible meeting point between the different learning theories. Finally, we propose a new vision of knowledge in AI models based on a combination of rules, learning, and human knowledge.


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