Organization and Representation of Musical Information (ORMI) in Portugal

This article presents the results of a documentary research regarding the current state of Organization and Representation of Musical Information (ORMI) in Portugal. Many authors describe the national scene of ORMI as very shortcoming, due to the usual difficulties: time vs. detail in the description and lack of knowledge of musical language by the technicians Information professionals. A survey of the monographs and articles as of 2011 that make a critical revision to the works of ORMI of several institutions was made, aiming to: 1) perceive their current state and 2) understand its strengths and weaknesses. We identified in these studies the analytic categories to create afterwards a classification structure by disciplinary areas, which shows semantic, structural and quality heterogeneity. The majority of Finding Aids are being produced by musicology projects with structures that respond to their information representation needs.

Ferrite

Ferrites are highly interesting high-tech materials. The book covers their classification, structure, synthesis, properties and applications. Emphasis is placed an biomedical applications, degradation of organic pollutants, high frequency applications, photocatalytic applications for wastewater remediation, solar cell applications, removal of organic dyes and drugs from aquatic systems, and the synthesis of hexagonal ferrites.

Musculoskeletal disorders

Musculoskeletal disorders (MSDs) are a major public health burden ranking third in terms of the causes of disability among persons worldwide. Since the seventies, life expectancy at birth around the world has risen roughly by 13 years for women and 12 years for men, creating a greater probability of experiencing some type of MSD during the life course. In this chapter, we first introduce the definition and classification structure of musculoskeletal disorders and provide a comprehensive description of selected MSDs (i.e. low back pain, neck pain, osteoarthritis, osteoporosis, rheumatoid arthritis) of major concern to public health research and practice. We then transition the discussion on a global scale, to the incidence and prevalence of MSDs, their economic impact, and growing burden on society. There are various known modifiable and non-modifiable risk factors of MSDs that will also be discussed including an emphasis on the presence and influence of ageing and obesity on MSDs. Lastly we summarize future directions in terms of research, practice, and policy that can be implemented and developed to improve the global burden of musculoskeletal disorders. In the advent of a large ageing population and increased life expectancy, the burden of musculoskeletal disorders can be expected to increase globally.

PHENOLIC COMPOUNDS OF CONIFEROUS TREES

The paper discusses the classification, structure and properties of natural phenolic compounds found in conifers wood species of Russia. The reasons for the variety of detected phenolic compounds (more than 2000) are considered, including the type and conditions of plant growth, environmental factors, as well as methods for extraction of substances. Coniferous extractives include monomeric, dimeric and polymeric phenolic compounds in bound and free form, and their content differs significantly for various species and parts of a woody plant. Depending on the polarity of the solvent used (water, petroleum ether, dimethyl ether, ethyl acetate, acetone, etc.), the yield, chemical composition and structure of the extracted phenolic compound change. It was shown that bark extracts of Larch and Fir contain the most phenolic acids and extractive substances than Pine, Cedar and Spruce, while the content of polar substances is higher in needles, and non- polar substances in plant shoots. Phenolic compounds are secondary plant metabolites, exhibiting fungicidal, virucidal and strong antioxidant effects, that make them a valuable basis for the creation of drugs.

TRINITY OF SEVERE ACUTE RESPIRATORY SYNDROME CORONAVIRUS-2: ORIGIN, GENOTYPE, PHENOTYPE, AND IMMUNE RESPONSE IN CORONAVIRUS DISEASE-2019

The coronavirus disease-2019 (COVID-19) outbreak by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) or a novel coronavirus (2019-CoV) has prompted global health concerns. A pandemic resulted from the disease’s transmission through many routes. In this pandemic, the interaction between coronavirus and the host immune system, particularly the innate immune system, is becoming more prominent. Against viruses and pathogens, innate immunity serves as a first line of defense. Our understanding of pathogenesis will benefit from a better grasp of the mechanisms of immune evasion techniques. The origin, classification, structure, and method of transmission of SARS-CoV-2 were summarized in this paper. We have discussed the importance of important communications. In this review, we have discussed the function of important components of the innate immune system in COVID-19 infection, as well as how the virus evades innate immunity through multiple tactics and contributes to a wide range of clinical symptoms and outcomes.

Structural-attributive models and algorithms for the functioning of shop production and logistics complexes. Transportation subsystem

A formalized generalization of functional structures and attributive models of executive means of production logistics systems is considered, in particular, the transportation subsystem — one of the key components of the "Shop logistic system" entity. Keywords: production logistics, shop logistic system, transportation subsystem, attributive model, classification structure. [email protected]

ENSEMBLE MODELS FOR INTELLIGENT ANALYSIS OF SOCIOLOGICAL DATA

The paper investigates an approach to sociological information processing based on the use of intelligent data analysis methods applied to the task of processing the results of a questionnaire survey. The advantages of intelligent analysis of sociological data in comparison with traditional statistical processing are discussed, as well as the implementation features and applicability limits of various intelligent data analysis methods in solving problems of association, clustering and classification. Structure and features of representation of respondents’ survey data are considered, the appropriateness is substantiated and the advantages of their processing based on the combination of various methods of intelligent analysis within an ensemble of models are discussed. A structure of an ensemble of models is proposed based on the combination and joint use of association rules, clustering algorithms and decision trees, which makes it possible to jointly process numerical and categorical data contained in the respondent’s answers to the questionnaire and also to interpret the results of data clustering. The paper describes the results of using the constructed ensemble of models for processing and analyzing the data of a sociological survey conducted as part of the annual project for monitoring the drug abuse situation in the Bryansk region in 2013 – 2018. The use of an ensemble of intelligent data analysis models for processing the results of a sociological survey not only makes it possible to detect patterns in them that cannot be otherwise detected by traditional methods of statistical processing, but also contributes to an increase in the reliability, completeness and coherence of the analysis results, due to which the analyst creates a holistic systemic picture of the studied social phenomenon or process.

CLASSIFICATION, STRUCTURE AND FUNCTIONS OF LEGAL CONSCIOUSNESS

The article discusses in detail the classification, structure and functions of legal consciousness. The article also discusses ideas, concepts, views expressing the theoretical understanding of law, typical for researchers, scientific workers involved in the legal regulation of public relations. The article also provides a detailed analysis of the classification, structure and functions of legal consciousness.In modern society, the scientific legal consciousness has a priority role in determining the ways of development of law, legislation, political and constitutional relations

Current Status and Future of Nitrile Catalysis using Key Nitrilases Enzymes and their Biotechnological Impact

Nitriles are organic compounds consisting of −C≡N group. They are frequently known to occur in nature and as intermediate by-products and waste products of various chemical, pharmaceutical, and agricultural industries. They are also found in fruit pits, cabbage, cauliflower, and sprouts, which are released upon hydrolysis. Nitrile converting enzymes like nitrilases have been extracted from microorganisms and plants. Nitrilase-mediated biocatalysis reactions have continuously aroused widespread interest to scientists and entrepreneurs in organic synthesis. Nitrile converting biocatalysts (Nitrilases) are now of substantial industrial interest from the perspective of treating toxic nitrile and cyanide-containing compounds. Nitrile degrading enzymes generally consist of nitrilases and amidases. The aim of the current review is to summarize the recent advancements on regioselective nitrilases concerning their fundamental researches and their application in the synthesis of series of high-value fine chemicals and pharmaceuticals. The present review also focuses on the utility of nitrile converting enzyme, sources, properties, classification, structure, and applications as well.

Junior servants in the system of monastic administration at the beginning of the 17th century (on the example of the Joseph-Volokolamsk Monastery)

The paper determines the place of junior servants in the system of monastic administration at the beginning of the 17th century on the example of the Joseph-Volokolamsk Monastery. At the beginning of the 17th century the Joseph-Volokolamsk Monastery suffered significant financial losses in connection with wartime conditions. At the same time, such a large patrimony had a need for a branched multistage management apparatus. The monastic servants carried out economic activities. The question of the system of monastic administration of the 16th-17th centuries actively researched by scientists on the example of specific monasteries. As part of the study of the Joseph-Volokolamsk Monastery, this problem was raised by historians on the basis of economic books of the 16th century. However, economic books of the beginning of the 17th century have also survived, which had not been studied earlier in this aspect, which made it possible to continue research in this area and expand the scientific understanding of the composition and role of monastic servants in the management structure of a large monastic patrimony. The sources for this work were two servage books of the Joseph-Volokolamsk Monastery, which are part of the economic books for the years of 7115 (1606/07) and 7116 (1607/08). To determine the place of monastic servants in the system of economic management, the classifications compiled by M.N. Tikhomirov, V.A. Petrov, S.I. Smetanina for the 16th century were considered and compared with the classifications by occupation and by territorial feature presented in the servage books of the early 17th century. This allowed us to conclude about the complexity of monastic servants classification structure at the beginning of the 17th century in comparison with the 16th century. A count was made of the number of monastic servants and the amounts spent on their maintenance to find out their composition. An attempt has been made to clarify the existing classifications of monastic servants for the beginning of the 17th century, while drawing attention to the merging of the system of senior and junior servants with an ordered control system. As a result of the study, it was concluded that a significant number of junior monastic servants (about 300) of various categories lived on the territory of the monastery, but their maintenance did not cause serious damage to the monastic treasury and was economically justified.