Numerous Changes Research Articles

Dynamic modeling and force-vibration mapping mechanism construction of rolling bearings considering cage flexibility and local faults

Rolling bearings are one of important components of rotating machinery transmissions and thus its health condition is important for the safety of machinery. Thus, rolling bearing vibration analysis is critical for bearing health condition monitoring. Current bearing vibration analysis ignores multiple compound influencing factors for dynamic modeling. Hence, a more accurate bearing dynamic model, considering multiple factors including cage flexibility, time-varying displacement excitations caused by local defects and elastohydrodynamic (EHD) lubrication, is proposed to accurately reflect force states among bearing elements and vibration responses of bearings. Furthermore, the force states and vibration responses of bearings with localized defects in the proposed model are analyzed in details: (1) the main excitation source of the dynamic model under faulty conditions is identified as the contact force between the rolling element and the raceway by analyzing the vibration signals and main physical variables (the contact forces and the friction forces) in numerical values and change trends; (2) the mapping mechanism between the main excitation source and the vibration response is constructed. The force states among bearing elements are detailedly analyzed in the proposed model and the relationship between the forces and bearing vibration responses is revealed, facilitating the bearing health condition monitoring and vibration control of machinery.

Revisiting the Modularity-Disease transmission Link: Uncovering the importance of intra-modular structure

Studies have shown that the internal structure of modules is hardly important for the spread of epidemics. However, most of these studies have assumed that intra-module connectivity and inter-module connectivity do not affect each other. In reality, changes in the internal structure of modules may affect inter-module links and thus change the modularity of the entire network. Therefore, we have developed a theoretical network model with adjustable modularity to investigate the impact of this situation on disease transmission. Our findings indicate that the intra-module structure plays a crucial role in disease outbreaks. Changes in intra-module structure lead to significant numerical changes in peak prevalence and duration of disease. This implies that the potential impact of changes in exposure patterns within modules should also be considered when investigating the exact impact of modular social networks on disease burden.

Clothing image attribute editing based on generative adversarial network, with reference to an upper garment

PurposeNowadays, artificial intelligence (AI) technology has demonstrated extensive applications in the field of art design. Attribute editing is an important means to realize clothing style and color design via computer language, which aims to edit and control the garment image based on the specified target attributes while preserving other details from the original image. The current image attribute editing model often generates images containing missing or redundant attributes. To address the problem, this paper aims for a novel design method utilizing the Fashion-attribute generative adversarial network (AttGAN) model was proposed for image attribute editing specifically tailored to women’s blouses.Design/methodology/approachThe proposed design method primarily focuses on optimizing the feature extraction network and loss function. To enhance the feature extraction capability of the model, an increase in the number of layers in the feature extraction network was implemented, and the structure similarity index measure (SSIM) loss function was employed to ensure the independent attributes of the original image were consistent. The characteristic-preserving virtual try-on network (CP_VTON) dataset was used for train-ing to enable the editing of sleeve length and color specifically for women’s blouse.FindingsThe experimental results demonstrate that the optimization model’s generated outputs have significantly reduced problems related to missing attributes or visual redundancy. Through a comparative analysis of the numerical changes in the SSIM and peak signal-to-noise ratio (PSNR) before and after the model refinement, it was observed that the improved SSIM increased substantially by 27.4%, and the PSNR increased by 2.8%, serving as empirical evidence of the effectiveness of incorporating the SSIM loss function.Originality/valueThe proposed algorithm provides a promising tool for precise image editing of women’s blouses based on the GAN. This introduces a new approach to eliminate semantic expression errors in image editing, thereby contributing to the development of AI in clothing design.

Clinical outcomes of elderly submitted to cardiac surgery in a hospital in the Federal District and its relationship with nutritional status

Introduction: Aging is a worldwide event, which leads to numerous systemic changes, with repercussions on the nutritional status and general health of the elderly. Objective: to correlate clinical outcomes with nutritional status determined by subjective and objective methods in elderly patients submitted to cardiac surgery. Methods: This is a prospective cohort study performed at the Federal District Cardiology Institute, from February to July 2018. The patients were evaluated in the pre- and postoperative phases with the subjective methods and objective. Results: the sample consisted of 84 (94.38%) patients. We observed a significant reduction (p<0,001) in weight, CB and PPF in the postoperative period when compared to preoperative cardiac surgery. There was no association of the outcome (discharge or death) with the nutritional risk determined by the NRS-2002 method. Patients who died had a longer CPB time. Conclusion: The was a lack of correlation between clinical outcomes and nutritional status. The high CPB time had a negative impact on the outcome of the elderly patients.

Biomarker-based staging of Alzheimer disease: rationale and clinical applications.

Disease staging, whereby the spatial extent and load of brain pathology are used to estimate the severity ofAlzheimer disease (AD), is pivotal to the gold-standard neuropathological diagnosis of AD. Current in vivo diagnostic frameworks for AD are based on abnormal concentrations of amyloid-β and tau in the cerebrospinal fluid or on PET scans, and breakthroughs in molecular imaging have opened up the possibility of in vivo staging of AD. Focusing on the key principles of disease staging shared across several areas of medicine, this Review highlights the potential for in vivo staging of AD to transform our understanding of preclinical AD, refine enrolment criteria for trials of disease-modifying therapies and aid clinical decision-making in the era of anti-amyloid therapeutics. We provide a state-of-the-art review of recent biomarker-based AD staging systems and highlight their contributions to the understanding of the natural history of AD. Furthermore, we outline hypothetical frameworks to stage AD severity using more accessible fluid biomarkers. In addition, by applying amyloid PET-based staging to recently published anti-amyloid therapeutic trials, we highlight how biomarker-based disease staging frameworks could illustrate the numerous pathological changes that have already taken place in individuals with mildly symptomatic AD. Finally, we discuss challenges related to the validation and standardization of disease staging and provide a forward-looking perspective on potential clinical applications.

Diversity in Plastic Surgery and the 2023 US Supreme Court Decision.

The number of publications on the topic of diversity, equity, and inclusion in plastic surgery has increased exponentially in the last 5 years. Numerous changes have been implemented. On June 29, 2023, the US Supreme Court ruled that affirmative action in college admissions is unconstitutional. Writing for the majority, Justice Roberts concluded that eliminating racial discrimination means eliminating all of it, and the Equal Protection Clause applies without regard to any differences of race, of color, or of nationality. Justice Thomas authored a concurrence, stating that such policies are contrary to our colorblind constitution and our nation's equality ideal. Justice Sotomayor was joined by Justice Kagan and Justice Jackson in their dissenting opinion that ignoring race will not equalize a society that is racially unequal and that students of various racial backgrounds can offer different perspectives because of that identity. The reaction was largely partisan. Michelle Steel and Young Kim, Republican Asian American Congresswomen from California, lauded the decision, along with Republican Senator Tim Scott from South Carolina. Senate Majority Leader Democrat Chuck Schumer opined that the Supreme Court decision has put a "giant roadblock in our country's march toward racial justice." Cory Booker, New Jersey Democrat, called the decision a devastating blow. President Joe Biden and former First Lady Michelle Obama also disagreed with the decision. Profound ramifications across our institutions of higher learning and in medical specialties are likely to follow. Legally, it will be difficult or impossible to defend race-based preferences going forward. This is true regardless of whether such policies were put in place with the best of intentions.

Drought induces moderate, diverse changes in the odour of grassland species

Plants react to drought stress with numerous changes including altered emissions of volatile organic compounds (VOC) from leaves, which provide protection against oxidative tissue damage and mediate numerous biotic interactions. Despite the share of grasslands in the terrestrial biosphere, their importance as carbon sinks and their contribution to global biodiversity, little is known about the influence of drought on VOC profiles of grassland species. Using coupled gas chromatography-mass spectrometry, we analysed the odorants emitted by 22 European grassland species exposed to an eight-week-lasting drought treatment (DT; 30% water holding capacity, WHC). We focused on the odorants emitted during the light phase from whole plant shoots in their vegetative stage. Emission rates were standardised to the dry weight of each shoot. Well-watered (WW) plants (70% WHC) served as control. Drought-induced significant changes included an increase in total emission rates of plant VOC in six and a decrease in three species. Diverging effects on the number of emitted VOC (chemical richness) or on the Shannon diversity of the VOC profiles were detected in 13 species. Biosynthetic pathways-targeted analyses revealed 13 species showing drought-induced higher emission rates of VOC from one, two, three, or four major biosynthetic pathways (lipoxygenase, shikimate, mevalonate and methylerythritol phosphate pathway), while six species exhibited reduced emission rates from one or two of these pathways. Similarity trees of odorant profiles and their drought-induced changes based on a biosynthetically informed distance metric did not match species phylogeny. However, a phylogenetic signal was detected for the amount of terpenoids released by the studied species under WW and DT conditions. A comparative analysis of emission rates of single compounds released by WW and DT plants revealed significant VOC profile dissimilarities in four species only. The moderate drought-induced changes in the odorant emissions of grassland species are discussed with respect to their impact on trophic interactions across the food web. (294 words)

Health-promoting lifestyle in mothers with vaginal childbirth and cesarean section in the postpartum period

BackgroundIn the postpartum period, there are numerous changes in the physical and psychological dimensions of women, which reduce the quality of life of women. The aim of this study was to compare the health-promoting lifestyle of mothers with vaginal delivery and cesarean delivery in the postpartum period.MethodsThis cross-sectional study was conducted on 77 pregnant women who had delivered vaginal or by cesarean section at Shohadaye Behshahr Hospital and were selected based on inclusion criteria. If the women were willing to participate in the study, a demographic questionnaire was completed, and the telephone numbers of the subjects were recorded so that the Porsline health-promoting lifestyle questionnaire could be sent to them. Data were analyzed with SPSS 22 using the T test, chi-square test and Repeated Measure ANOVA.ResultsThere was no difference in the average score of health-promoting lifestyle and its dimensions between the two groups of vaginal delivery and cesarean section at two and six weeks after delivery. However, in both groups, the total score of health-promoting lifestyle decreased significantly over time (P < 0.001).ConclusionsThere was no difference in health-promoting lifestyle between mothers with vaginal and mothers with cesarean delivery at two weeks and six weeks after delivery. This requires more attention from policy makers to make vaginal childbirth more convenient, and by reducing complications after vaginal childbirth, they can improve women’s healthy lifestyles and, in turn, families. Also, it seems that the other variables apart from the method of delivery should be considered, and it is necessary to distinguish these variables such as routine episiotomy in order to prevent the decrease in the level of health-promoting behaviors among women during puerperium period.

A novel deep learning-based method for automatic stereology of microglia cells from low magnification images

Microglial cells mediate diverse homeostatic, inflammatory, and immune processes during normal development and in response to cytotoxic challenges. During these functional activities, microglial cells undergo distinct numerical and morphological changes in different tissue volumes in both rodent and human brains. However, it remains unclear how these cytostructural changes in microglia correlate with region-specific neurochemical functions. To better understand these relationships, neuroscientists need accurate, reproducible, and efficient methods for quantifying microglial cell number and morphologies in histological sections. To address this deficit, we developed a novel deep learning (DL)-based classification, stereology approach that links the appearance of Iba1 immunostained microglial cells at low magnification (20×) with the total number of cells in the same brain region based on unbiased stereology counts as ground truth. Once DL models are trained, total microglial cell numbers in specific regions of interest can be estimated and treatment groups predicted in a high-throughput manner (<1 min) using only low-power images from test cases, without the need for time and labor-intensive stereology counts or morphology ratings in test cases. Results for this DL-based automatic stereology approach on two datasets (total 39 mouse brains) showed >90% accuracy, 100% percent repeatability (Test-Retest) and 60× greater efficiency than manual stereology (<1 min vs. ∼ 60 min) using the same tissue sections. Ongoing and future work includes use of this DL-based approach to establish clear neurodegeneration profiles in age-related human neurological diseases and related animal models.

Salvia officinalis L. exerts oncostatic effects in rodent and in vitro models of breast carcinoma.

Introduction: Based on extensive data from oncology research, the use of phytochemicals or plant-based nutraceuticals is considered an innovative tool for cancer management. This research aimed to analyze the oncostatic properties of Salvia officinalis L. [Lamiaceae; Salviae officinalis herba] using animal and in vitro models of breast carcinoma (BC). Methods: The effects of dietary administered S. officinalis in two concentrations (0.1%/SAL 0.1/and 1%/SAL 1/) were assessed in both syngeneic 4T1 mouse and chemically induced rat models of BC. The histopathological and molecular evaluations of rodent carcinoma specimens were performed after the autopsy. Besides, numerous in vitro analyses using two human cancer cell lines were performed. Results and Conclusion: The dominant metabolites found in S. officinalis propylene glycol extract (SPGE) were representatives of phenolics, specifically rosmarinic, protocatechuic, and salicylic acids. Furthermore, the occurrence of triterpenoids ursolic and oleanolic acid was proved in SPGE. In a mouse model, a non-significant tumor volume decrease after S. officinalis treatment was associated with a significant reduction in the mitotic activity index of 4T1 tumors by 37.5% (SAL 0.1) and 31.5% (SAL 1) vs. controls (set as a blank group with not applied salvia in the diet). In addition, salvia at higher doses significantly decreased necrosis/whole tumor area ratio by 46% when compared to control tumor samples. In a rat chemoprevention study, S. officinalis at a higher dose significantly lengthened the latency of tumors by 8.5 days and significantly improved the high/low-grade carcinomas ratio vs. controls in both doses. Analyses of the mechanisms of anticancer activities of S. officinalis included well-validated prognostic, predictive, and diagnostic biomarkers that are applied in both oncology practice and preclinical investigation. Our assessment in vivo revealed numerous significant changes after a comparison of treated vs. untreated cancer cells. In this regard, we found an overexpression in caspase-3, an increased Bax/Bcl-2 ratio, and a decrease in MDA, ALDH1, and EpCam expression. In addition, salvia reduced TGF-β serum levels in rats (decrease in IL-6 and TNF-α levels were with borderline significance). Evaluation of epigenetic modifications in rat cancer specimens in vivo revealed a decline in the lysine methylations of H3K4m3 and an increase in lysine acetylation in H4K16ac levels in treated groups. Salvia decreased the relative levels of oncogenic miR21 and tumor-suppressive miR145 (miR210, miR22, miR34a, and miR155 were not significantly altered). The methylation of ATM and PTEN promoters was decreased after S. officinalis treatment (PITX2, RASSF1, and TIMP3 promoters were not altered). Analyzing plasma metabolomics profile in tumor-bearing rats, we found reduced levels of ketoacids derived from BCAAs after salvia treatment. In vitro analyses revealed significant anti-cancer effects of SPGE extract in MCF-7 and MDA-MB-231 cell lines (cytotoxicity, caspase-3/-7, Bcl-2, Annexin V/PI, cell cycle, BrdU, and mitochondrial membrane potential). Our study demonstrates the significant chemopreventive and treatment effects of salvia haulm using animal or in vitro BC models.

Study protocol of the OrkA project: orofacial and communicative activation in old age– a cluster randomized prevention study in long-term care facilities in Lower Saxony, Germany

BackgroundThe process of aging involves numerous changes in the body, influencing physical, mental, and emotional well-being. Age-related changes and degradation can impact various functions of the swallowing process and lead to delayed word retrieval. Individuals with limited linguistic stimulation may experience a more rapid decline in cognitive performance. Thus, this project explores a preventive training program targeting swallowing and linguistic-communicative skills, aimed at preserving the social participation of older individuals residing in nursing homes.MethodsA preventive intervention program, combining orofaciopharyngeal and linguistic-communicative components, will be offered twice weekly over 12 weeks in long-term care facilities in the greater Hanover area. The program will aim at: (a) activating sensitive and motor skills in the orofaciopharyngeal area to counter age-related swallowing disorders, and (b) enhancing communicative abilities through semantic-lexical activation. A cluster randomized controlled trial will be conducted to investigate whether the intervention program improves swallowing skills in older adults. Additionally, a secondary analysis will explore the impact on language skills and social participation, as well as program acceptance.DiscussionThe results will provide valuable insight into the effectiveness of preventive measures addressing swallowing and speech issues in older individuals.Trial registrationThe trial was registered with DRKS (German register for clinical trials) in June 2023 (study ID: DRKS00031594) and the WHO International Clinical Trail Registry Platform (secondary register).

Genetic changes and testing associated with childhood glaucoma: A systematic review.

Many forms of childhood glaucoma have been associated with underlying genetic changes, and variants in many genes have been described. Currently, testing is variable as there are no widely accepted guidelines for testing. This systematic review aimed to summarize the literature describing genetic changes and testing practices in childhood glaucoma. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic review and Meta-Analyses (PRISMA) 2020 guidelines and registered with Prospero (ID CRD42023400467). A comprehensive review of Pubmed, Embase, and Cochrane databases was performed from inception through March 2, 2023 using the search terms: (glaucoma) AND (pediatric OR childhood OR congenital OR child OR infant OR infantile) AND (gene OR genetic OR genotype OR locus OR genomic OR mutation OR variant OR test OR screen OR panel). Information was extracted regarding genetic variants including genotype-phenotype correlation. Risk of bias was assessed using the Newcastle-Ottawa Scale. Of 1,916 records screened, 196 studies met inclusion criteria and 53 genes were discussed. Among study populations, mean age±SD at glaucoma diagnosis was 8.94±9.54 years and 50.4% were male. The most common gene discussed was CYP1B1, evaluated in 109 (55.6%) studies. CYP1B1 variants were associated with region and population-specific prevalence ranging from 5% to 86% among those with primary congenital glaucoma. MYOC variants were discussed in 31 (15.8%) studies with prevalence up to 36% among patients with juvenile open angle glaucoma. FOXC1 variants were discussed in 25 (12.8%) studies, which demonstrated phenotypic severity dependent on degree of gene expression and type of mutation. Overall risk of bias was low; the most common domains of bias were selection and comparability. Numerous genes and genetic changes have been associated with childhood glaucoma. Understanding the most common genes as well as potential genotype-phenotype correlation has the potential to improve diagnostic and prognostic outcomes for children with glaucoma.

Thermal Characteristics of Spindle System Based on the Comprehensive Effect of Multiple Nonlinear Time-Varying Factors

The thermal characteristics of the spindle system for CNC machine tools are influenced by multiple factors which are nonlinear and time-varying. In this paper, a nonlinear time-varying thermal characteristics solving model for the spindle system was established based on the numerical solution method. Through theoretical deduction and data fitting, mathematical models of nonlinear time-varying factors including the friction torque generated by lubricants, convective heat transfer coefficient, and coolant and ambient temperature are constructed. The temperature and displacement of the spindle system at each time step are solved by considering the comprehensive effect of multiple nonlinear time-varying factors. And the actual temperature and axial deformation data of the spindle system are obtained through thermal characteristics detection experiments. By comparing solution results affected by multiple nonlinear time-varying factors and by non time-varying factors with experimental data, it can be concluded that the nonlinear time-varying thermal characteristics model has advantages in reflecting the trend of numerical changes and the accuracy of result solving over a method considering non time-varying factors and the solution values of temperature affected by multiple nonlinear time-varying factors are almost consistent with detection values and the relative errors are all within ±3%. The relative error of axial deformation between the value solved by the model and the detection value is close to −1%. This conclusion demonstrates the rationality and accuracy of the thermal characteristics solving model and the construction of nonlinear time-varying factors. This study is of great significance for exploring the thermal characteristics of the spindle system and improving CNC machine tool performance in depth.

The Role of Artificial Intelligence in Shaping the Future of Education: Opportunities and Challenges

Artificial intelligence has become a booming technology whereas it brings numerous positive changes within the educational process. The aim of the research is to describe the role of artificial intelligence in education through the analysis of its opportunities and challenges. The study involved the integration of qualitative (interviews, focus groups, and classroom observations) and quantitative methods (survey and statistical analysis). All the research procedures were organized according to the ethical standards for data collection and analysis. Over 50 recent scientific works were selected to analyze the research problem from different perspectives and present its comprehensive overview. The study involved 56 participants representing instructors from different institutions of higher education in Ukraine. The inclusion criteria were based on subject specialization, institution type, curriculum accreditation, and experience with artificial intelligence technologies. It was found that the positive impacts of artificial intelligence include personalized and adaptive learning, automated administrative tasks, enhanced support, e-learning facilitation, inclusivity, data-driven decision making, gamification, increased engagement, behaviour and predictive analytics, improved assessment. The challenges concerned the data privacy, security, bias, lack of understanding, transparency, necessity for additional training. The findings showed that the implementation of artificial intelligence through personalized learning, predictive analytics, intelligent tutoring systems, content creation systems, Virtual Reality, automated administrative tasks, and chatbots can shape the educational process effectively in future and modernize the future specialists’ training. The research results can be used within the educational institutions to increase the awareness of using artificial intelligence tools.

Dynamics of the Gut Microbiota and Faecal and Serum Metabolomes during Pregnancy-A Longitudinal Study.

Normal pregnancy involves numerous physiological changes, including changes in hormone levels, immune responses, and metabolism. Although several studies have shown that the gut microbiota may have an important role in the progression of pregnancy, these findings have been inconsistent, and the relationship between the gut microbiota and metabolites that change dynamically during and after pregnancy remains to be clarified. In this longitudinal study, we comprehensively profiled the temporal dynamics of the gut microbiota, Bifidobacterium communities, and serum and faecal metabolomes of 31 women during their pregnancies and postpartum periods. The microbial composition changed as gestation progressed, with the pregnancy and postpartum periods exhibiting distinct bacterial community characteristics, including significant alterations in the genera of the Lachnospiraceae or Ruminococcaceae families, especially the Lachnospiraceae FCS020 group and Ruminococcaceae UCG-003. Metabolic dynamics, characterised by changes in nutrients important for fetal growth (e.g., docosatrienoic acid), anti-inflammatory metabolites (e.g., trans-3-indoleacrylic acid), and steroid hormones (e.g., progesterone), were observed in both serum and faecal samples during pregnancy. Moreover, a complex correlation was identified between the pregnancy-related microbiota and metabolites, with Ruminococcus1 and Ruminococcaceae UCG-013 making important contributions to changes in faecal and serum metabolites, respectively. Overall, a highly coordinated microbiota-metabolite regulatory network may underlie the pregnancy process. These findings provide a foundation for enhancing our understanding of the molecular processes occurring during the progression of pregnancy, thereby contributing to nutrition and health management during this period.

One down, fifty to go: managers' perceptions of their workload and how they cope with it to maintain their psychological health.

Like many other countries, healthcare services in Canada face numerous organizational changes with the main objective of doing more with less. The approach taken within different healthcare networks has brought about a reform in healthcare facilities in Quebec, leading to several mergers and eliminating over 1,000 managerial positions. As a result, this has placed a progressively heavier workload on the shoulders of the remaining managers. Research on mental health in the workplace has mainly focused with the workforce and generally neglects managers. However, studies have shown that workload is a risk factor for managers. Therefore, the objectives of our study are to (1) better understand the elements that make up a manager's workload and the factors that influence it and (2) identify the coping strategies used by managers to deal with their workloads. Employing a qualitative approach, we analyzed 61 semistructured interviews through an abductive method, utilizing diverse frameworks for data analysis. The participants came from the same Quebec healthcare establishment. Our findings align with the notion that workload is a multifaceted phenomenon that warrants a holistic analysis. The workload mapping framework we propose for healthcare network managers enables pinpointing those factors that contribute to the burden of their workload. Ultimately, this workload can detrimentally impact the psychological wellbeing of employees. In conclusion, this study takes a comprehensive look at workload by using a holistic approach, enabling a more comprehensive understanding of this phenomenon. It also allows for the identification of coping strategies used by managers to deal with their workloads. Finally, our results can provide valuable guidance for the interventions aimed at addressing workload issues among healthcare network managers in Quebec by utilizing the specific elements we have identified.

Diabetes Mellitus and Pregnancy: An Insight into the Effects on the Epigenome.

Worldwide, diabetes mellitus represents a growing health problem. If it occurs during pregnancy, it can increase the risk of various abnormalities in early and advanced life stages of exposed individuals due to fetal programming occurring in utero. Studies have determined that maternal conditions interfere with the genotypes and phenotypes of offspring. Researchers are now uncovering the mechanisms by which epigenetic alterations caused by diabetes affect the expression of genes and, therefore, the development of various diseases. Among the numerous possible epigenetic changes in this regard, the most studied to date are DNA methylation and hydroxymethylation, as well as histone acetylation and methylation. This review article addresses critical findings in epigenetic studies involving diabetes mellitus, including variations reported in the expression of specific genes and their transgenerational effects.

Primitivism in Early 20th Century French Music: Darius Milhaud’s La creation du monde

The first decades of the 20th century, particularly the post-war era, brought about numerous philosophical and cultural changes. Exoticism and orientalism were concepts that still governed arts and music, however the philosophical concepts that lay beyond the use of exotic or oriental themes was gradually altered. Exoticism represented more than the possibility for artists to create an idealized elsewhere, inspired by the contact with foreign cultures and their artistic products. It also offered artists the opportunity to express the complex meaning of various symbols associated with exoticism. In this context, Western society gradually turned toward a new aesthetic that could provide artists with an apparent connection to the roots of mankind. Primitivism, associated with folk art and mythology, represented a utopic state, prior to civilization or colonialism, but at the same time, it offered the possibility to explore certain archetypal symbols and express their possible meaning through art. Art nègre, represented by African and African American art and music, was most often associated with this aesthetic of primitivism, and influenced the works of Western artists. French composer Darius Milhaud returns to the theme of origins and creation in the work La création du monde, which combines elements associated with the concept of primitivism, with jazz music and Western compositional techniques.

Features of the influence of new media and media convergence on the educational process of young journalists

The work analyzes the main criteria of new media and examines the specifics of the processes affecting the education of young journalists through new media and media convergence. It is shown that modern journalism is constantly developing and, as a result, undergoes numerous changes: new technologies and methods of information delivery appear, the preferences of content consumers regularly change, and consumers become more and more demanding of the quality of the information product. All these changes require journalists to master new skills and improve previously acquired ones, as well as reconsider many principles of work. This applies not only to current practitioners who have been in the information and communication sphere for many years, but also to specialists just starting their journey in journalism.

ПОДхОДы К УПРАВЛЕНИЮ ОРГАНИЗАЦИОННыМИ И ВНЕОРГАНИЗАЦИОННыМИ СТРЕССАМИ В УСЛОВИЯх ГИГ-ЭКОНОМИКИ И ПРЕКАРИЗАЦИИ ТРУДОВых ОТНОШЕНИЙ

Precarization is one of the most important trends in the modern development of the labor market both in Russia and abroad. At the same time, the relevance of managing organizational and non-organizational stresses, which are facilitated by both numerous external factors and changing working conditions, is increasing. This article provides an analysis of the current state of procarization, as well as the results of studies of the causes of precarization, conducted with the involvement of the leaders of 46 service organizations, and studies of the correlation of labor stress and precarization. The main conclusion of the article is the thesis that in order to solve the problems associated with the development of precarization, an integrated approach and the involvement of multi-level actors are needed: the state, entrepreneurs, managers and workers themselves.