Reliability of Trust Management Systems in Cloud Computing

Cloud computing is an innovation that conveys administrations like programming, stage, and framework over the web. This computing structure is wide spread and dynamic, which chips away at the compensation per-utilize model and supports virtualization. Distributed computing is expanding quickly among purchasers and has many organizations that offer types of assistance through the web. It gives an adaptable and on-request administration yet at the same time has different security dangers. Its dynamic nature makes it tweaked according to client and supplier’s necessities, subsequently making it an outstanding benefit of distributed computing. However, then again, this additionally makes trust issues and or issues like security, protection, personality, and legitimacy. In this way, the huge test in the cloud climate is selecting a perfect organization. For this, the trust component assumes a critical part, in view of the assessment of QoS and Feedback rating. Nonetheless, different difficulties are as yet present in the trust the board framework for observing and assessing the QoS. This paper talks about the current obstructions present in the trust framework. The objective of this paper is to audit the available trust models. The issues like insufficient trust between the supplier and client have made issues in information sharing likewise tended to here. Besides, it lays the limits and their enhancements to help specialists who mean to investigate this point.

Finding Someone to Blame: The Link Between COVID-19 Conspiracy Beliefs, Prejudice, Support for Violence, and Other Negative Social Outcomes

One of the appeals of conspiracy theories in times of crises is that they provide someone to blame for what has happened. Thereby, they increase distrust, negative feelings, and hostility toward implicated actors, whether those are powerful social outgroups or one’s own government representatives. Two studies reported here examine associations of COVID-19 conspiracy theories with prejudice, support for violence, and other and negative social outcomes. In Study 1 (N = 501), the endorsement of the more specific conspiracy theories about the alleged role of China was associated with more prejudiced views of Chinese and Italian people. In Study 2 (N = 1024), lowered trust in government regulations and increased hostility associated with the COVID-19 and generic conspiracy beliefs were correlated with justification of and willingness to engage in non-compliance with regulations, violent attacks on 5G masts, and anti-government protests. Across both of the studies, higher exposure to news about COVID-19 was associated with lower endorsement of conspiracy theories, but also with increased feelings of anxiety and lack of control, which in turn were correlated with higher COVID-19 conspiracy beliefs endorsement. We highlight the potential social problems which are associated with the wide-spread endorsement of COVID-19 conspiracy theories.

Specific Turbulence- and Chaoborus-Induced Morphotypes Affect the Streamlining Properties of Daphnia cucullata

Inducible defenses are a wide-spread defensive mechanism in Daphnia. For example, D. cucullata is known to form different adaptive morphologies under changing environmental conditions. In this species, predator presence elicits defensive helmets. Defended animals perform better and survive more frequently in predation attempts. Another peculiarity of D. cucullata is that they develop these defenses also in response to turbulence. The mechanisms that underly this defensive effect are so far unclear. Therefore, we investigated the three-dimensional morphology of the typical, the turbulence- and Chaoborus-exposed morph and analyzed their surface and volume alterations. We furthermore measured the swimming velocities of these morphs. With the determined shapes and the measured velocities, we simulated the drag force under different angles of attack and determined the energy necessary to move through the water. In the light of previous findings and hypotheses we here discuss biomechanical mechanisms that improve D. cucullata’s fitness in the investigated environments.

STRUCTURE OF CEREAL-LEGUME HERBALS WITH DIFFERENT METHODS OF SOWING AND IRRIGATION IN ARID CONDITIONS OF THE LOWER VOLGA

In recent years, livestock farms in the Astrakhan region have mainly used grasses from natural hayfields and pastures for fodder. But, due to the sharp aridization of the climate, and, as a consequence, the more frequent droughts, as well as the unregulated growth of the number of animals on farms, the reserves of natural herbage are often insufficient. Therefore, the region began to increase the area of sown hayfields for irrigation. The aim of the work is to study the effect of various irrigation methods on the productivity of cereal-leguminous mixtures with multi-cut use in the conditions of light chestnut soils of the Northern Caspian region. The studies were carried out in 2017-2020 in the Astrakhan region. All studied irrigation methods (sprinkler irrigation, drip irrigation with a belt laying depth of 0.0, 0.15, 0.25, 0.35 and 0.45 m, periodic flooding), with the exception of subsoil irrigation, with an ordinary method of sowing contributed to the development of both cereals and legumes. In these variants of the experiment, cereals occupied a significant part in the total herbage - from 40.0 to 61.0%. When using the spread sowing method, only in one variant, the share of cereal grasses was 54.0% (periodic flooding). In all others with this method of sowing, the amount of cereals in the total mass was insignificant, or they were completely absent. The widespread method of sowing was also the most productive in all the years of research. The maximum yield in the experiment was noted in all variants of the experiment in the third year of the life of grasses in 2019.The highest productivity with the spread method of sowing was noted in 2019 in the variants of the experiment with a belt laying depth of 0.25, 0.35 and 0.45 m and amounted to 98.1, 104.4 and 111.0 t/ha, respectively. In the variants with the row-sowing method, the yield was lower than with the wide-spread one. The highest yield with this method of sowing was also noted in 2019 in variants with subsurface drip irrigation with a belt laying depth of 0.35 and 0.45 m and amounted to 105.5 and 104.8 t/ha, respectively

Post-COVID-19 syndrome

The disease caused by new coronavirus infection (COVID-19) is a global problem not only because of its wide spread occurrance, but also due to the high incidence of post-COVID syndrome. The literature review presents the results of numerous observations of patients, who undergone COVID-19. The most common symptoms are: general weakness, impaired cognitive functions, memory loss, depression, anosmia, dysgeusia, shortness of breath, cough, chest pain, abdominal pain, anorexia, nausea, vomiting, diarrhea, less often — alopecia, skin rashes, etc. The most frequent symptoms of the post-COVID syndrome are described; the reasons and risk factors for its development are analyzed. The lack of views sameness on the term “postCOVID syndrome” makes it diffi cult to evaluate the frequency of certain symptoms development. Variants of the post-COVID syndrome are considered. It is proposed to distinguish between the post-COVID syndrome, developed after acute COVID-19 that lasts up to 12 weeks, and a prolonged variant of post-COVID clinical symptoms that last longer than 12 weeks, which should be distinguished from lingering COVID-19, its complications, and the consequences of intensive care. The questions of prognosis, diagnostics, and treatment of post-COVID syndrome are discussed.

Climate and Sustainable Food Security

Agriculture is the world's largest solar energy harvesting enterprise. In the Indian context, the last few decades have witnessed unprecedented growth in agricultural production largely due to productivity improvement. However, the gap between potential yield and farmers fields is still high. This paper highlights the various socioeconomic issues that dominate the variability in agricultural production at the field level. Monsoon management of agriculture and human livelihoods has been a traditional experience in India. However, in the current context of wide spread concerns about global climatic change there is a need to translate climatic information into practical tools for the development and sustainment of agriculture. This paper makes a case for the development of a suitable strategy for climate management, in the context of the unique socio-economic structure of the country.

Endophyte Infected Tall Fescue: Plant Symbiosis to Animal Toxicosis

Endophyte-infected fescue is a major cool season forage used for livestock production in the United States and through other areas of the world. A unique aspect of this forage resource is the symbiotic relationship with an endophytic fungus (Epichloë coenophiala) that has detrimental impact on herbivores due to toxic ergot alkaloids. Research over the past 50 years has unveiled details regarding this symbiotic relationship. This review focuses on the origin of tall fescue in the United States and the consequences of its wide-spread utilization as a livestock forage, along with the discovery and toxicodynamics of ergot alkaloids produced by E. coenophiala. The majority of past ergot alkaloid research has focused on observing phenotypic changes that occur in livestock affected by ergot alkaloids, but recent investigation of the metabolome, transcriptome, and proteome have shown that fescue toxicity-related illnesses are much more complex than previous research suggests.

HODONYMIC VOCABULARY IN THE UDMURT LANGUAGE (BASED ON THE MATERIAL OF TOPONYMY)

The article considers geographical terms for designating streets and lanes in the Udmurt language based on the study of a large corpus of godonyms. In the study of microtoponyms collected by the author and other toponymists on the territory of Udmurtia and beyond of it - in the places of residence of Udmurts - the author managed to identify a significant number of words expressing these concepts. The words ulcha and uram are used to express the concept of ‘street’ in the Udmurt language, which is confirmed by the data of Udmurt toponymy. Special attention is paid to the description of common nouns with the meaning ‘lane’ recorded in microtoponyms, since this layer of vocabulary has not yet been considered in detail by anyone. The performed review indicates that a number of lexemes can act as common words used in this meaning. Taking into account different variants, the author identified 13 units in total. The etymological analysis of the analyzed geographical terms suggests that they are heterogeneous in origin. The common nouns borrowed from the Russian language are wide spread. Geographical terms of Udmurt and pre-Permian or Finno-Permian origin have a slightly lower frequency of use. A small number of lexemes are derived from the Turkic languages. Mixed Udmurt-Russian and Udmurt-Tatar formations are represented in a single number.

Hybrid Model Of Structural Equation Modeling Pls And Rfm (Recency, Frequency And Monetary) Model To Improve Bank Average Balance

As a business players, entrepreneurs certainly need bank products and supports that provide fast and easy services with wide-spread network in Indonesia. In this study, Structural Equation Model (SEM) identify the transaction that influence the average balance. The objects of the RFM segmentation on the selected transaction is to understand customer segment score and build a marketing strategy for each segment with different levels of loyalty for the Financial result of higher Average Balance. The segmentation results found three driver categories, High Recency, Mid Recency and Low Recency category. High Recency is considered Active customer where campaign category can be cross/up-selling and promotional accordingly with their Frequency and Monetary category. Mid Recency category is considered Risky customer where campaign category can be retention program accordingly with their Frequency and Monetary. Last, Low Recency is considered already Churn customer where campaign category is to conduct reactivation.