Similar Groups Research Articles

Біометричний аналіз показників прооксидантно-антиоксидантного стану плазми крові щурів за дії гістаміну і кверцетину

The regularities of the effect of histamine in concentrations of 0.01; 0.1; 1; 10 μM were studied and quercetin in concentrations of 0.1; 0.3; 0.5; 1; 3; 5 mM, as well as their combined effect on the prooxidant-antioxidant state of blood plasma of rats, using cluster and factor biometric analyses. It was established that the experimental groups according to the investigated indicators (TBА-positive products, lipid hydroperoxides, carbonyl groups of neutral and basic proteins, superoxide anion radical, superoxide dismutase, catalase, reduced glutathione, ATP) were distributed among 13 clusters (according to cluster analysis). In one group of similarities, the effect of histamine in concentrations of 0.01 µM and 1 µM was revealed. Quercetin at a concentration of 0.5 mM and histamine at a concentration of 0.1 µM have a similar effect on the indicators of the prоoxidant-antioxidant state of the blood plasma. Combined addition to the blood of histamine at a concentration of 10 μM and quercetin at a concentration of 0.1; 0.5; 3 mM lead to the same changes in the indicated studied indicators. Cluster analysis also combined the combined effects of 0.01 μM histamine and 0.1 and 3 mM quercetin. It is important to note that a decrease in the content of carbonyl groups of proteins was found in those classers whose experimental blood groups were added to histamine and quercetin, which indicates a decrease in protein damage due to free radical oxidation processes. Using factor analysis, it was established the presence of three hidden factors that affect the processes of free radical oxidation of blood under the action of histamine and quercetin. A high correlation of factor I with protein carbonyl groups, reduced glutathione, superoxide anion radical was revealed. Factor II is most correlated with ATP, superoxide dismutase, lipid hydroperoxides. There is a close relationship between factor III and TBА-positive products and catalase. Taking into account the closeness of the relationship, factor I was given the name “factor of action on proteins”, factor II – “factor of action on bioenergetics and initiator of lipid peroxidation processes”, factor III – “factor of enhancement of lipid peroxidation processes”. It was established that quercetin activates factor I (influence on proteins, causing their oxidation) and factor III (intensification of lipid peroxidation processes) depending on the concentration of the drug. Quercetin in a concentration of 1 mM has the property of both factors (I and III).

Identifying time patterns of highland and lowland air temperature trends in Italy and the UK across monthly and annual scales

Abstract. This paper presents a statistical analysis of air temperature data from 32 stations in Italy and the UK up to 2000 m above sea level from 2002 to 2021. The data came from both highland and lowland areas in order to evaluate the differences due to both location and elevation. The analysis focused on detecting trends at annual and monthly timescales, employing ordinary least-squares (OLS), robust S-estimator regression, and Mann–Kendall (MK) and Sen's slope methods. Hierarchical clustering (HCA) using dynamic time warping (DTW) was then applied to the monthly data to analyze the intra-annual pattern similarity of trends within and across the groups. Two different regions of Europe were chosen because of the different climate and temperature trends – namely, the northern UK (smaller trends) and the northwest Italian Alps (larger trends). The main novelty of the work is to show that stations with similar locations and altitudes have similar monthly slopes by quantifying them using DTW and clustering. These results reveal the nonrandomness of different trends throughout the year and between different parts of Europe, with a modest influence of altitude in wintertime. The findings revealed that group average trends were close to the National Oceanic and Atmospheric Administration (NOAA) values for the areas in Italy and the UK, confirming the validity of analyzing a small number of stations. More interestingly, intra-annual patterns were detected commonly at the stations of each of the groups and are clearly different between them. Confirming the different climates, most highland and lowland stations in Italy exhibit statistically significant positive trends, while in the UK, both highland and lowland stations show statistically nonsignificant negative trends. Hierarchical clustering in combination with DTW showed consistent similarity between monthly patterns of means and trends within the group of stations and inconsistent similarity between patterns across groups. The use of the 12 distance correlation matrices (dcor) (one for each month) also contributes to what is the main result of the paper, which is to clearly show the different temporal patterns in relation to location and (in some months) altitude. The anomalous behaviors detected at 3 of the 32 stations, namely Valpelline, Fossano, and Aonoch Mòr, can be attributed, respectively, to the facts that Valpelline is the lowest-elevation station in its group; Fossano is the southernmost of the Italian stations, with some sublittoral influence; and Aonoch Mòr has a large number of missing values. In conclusion, these results improve our understanding of temperature spatio-temporal dynamics in two very different regions of Europe and emphasize the importance of consistent analysis of data to assess the ongoing effects of climate change. The intra-annual time patterns of temperature trends could also be compared with climate model results.

The influence of social identity on attitudes toward wildlife.

Wildlife conservation depends on supportive social as well as biophysical conditions. Social identities such as hunter and nonhunter are often associated with different attitudes toward wildlife. However, it is unknown whether dynamics within and among these identity groups explain how attitudes form and why they differ. To investigate how social identities help shape wildlife-related attitudes and the implications for wildlife policy and conservation, we built a structural equation model with survey data from Montana (USA) residents (n=1758) that tested how social identities affect the relationship between experiences with grizzly bears (Ursus arctos horribilis) and attitudes toward the species. Model results (r2=0.51) demonstrated that the hunter identity magnified the negative effect of vicarious property damage on attitudes toward grizzly bears (β=-0.381, 95% confidence interval [CI]: -0.584 to -0.178, p<0.001), which in turn strongly influenced acceptance (β=-0.571, 95% CI: -0.611 to -0.531, p<0.001). Our findings suggested that hunters' attitudes toward grizzly bears likely become more negative primarily because of in-group social interactions about negative experiences, and similar group dynamics may lead nonhunters to disregard the negative experiences that out-group members have with grizzly bears. Given the profound influence of social identity on human cognitions and behaviors in myriad contexts, the patterns we observed are likely important in a variety of wildlife conservation situations. To foster positive conservation outcomes and minimize polarization, management strategies should account for these identity-driven perceptions while prioritizing conflict prevention and promoting positive wildlife narratives within and among identity groups. This study illustrates the utility of social identity theory for explaining and influencing human-wildlife interactions.

Effect of the Program «Caring for caretakers»: Findings of a multicenter study

Objective: To assess the effectiveness of the program Caring for the Caregivers on the caring ability of family caregivers of people with chronic illnesses attended by programs coordinated by the Latin American nodes for the care of caregivers with chronically ill family members.Methods: The study had a Quasi-experimental method with an experimental group (family caregivers that took the Program Caring for the caregivers and a control group. Data was collected with the Ngozi Nkongho’s Caring Ability Inventory (CAI). The sample was taken by convenience in (8) nodes, with an average of 60-100 family caregivers for a total group of 643 individuals (417 in the experimental group and 226 in the control group). Statistical tests were used to evaluate proposals of normality and the Mann-Whitney U test to evaluate data. Results: Findings report similar study groups with small differences in ages and socioeconomic levels. Family caregivers that took part in the Program significantly improved their caring ability with improvement in each of the dimensions of the caring ability. Discussion: The effectiveness of the Program Caring for the caregivers in the caring ability of family caregivers is a significant finding that match with previous reports and it confirm the importance of having specific proposals for the care of caregivers in the Latin American context. Findings shows a strengthening of the general caring ability of family caregivers, as well as an straightening of each one of their dimensions that is favorable to the Program effect. These findings slightly differ from previous findings because in previous studies the caring ability never showed increase in all its components.

Comparison of early risk factors between healthy siblings and subjects with schizophrenia and bipolar disorder.

The following work aims to compare the types and magnitude of risk events in patients with Schizophrenia and Bipolar Disorder and each of those groups with of a group of healthy siblings, exploring differences and similarities of the two psychotic disorders. Retrospective interviews were conducted with 20 families to investigate maternal and obstetric health, social support and the presence of early trauma for the affected family members and healthy siblings. Mothers were interviewed with the Prenatal Psychosocial Profile and each family participant was assessed with the Early Trauma Inventory, Screening Questionnaire of the Genomic Psychiatry Cohort and the Diagnostic Interview for Psychosis and Affective Disorders. Obstetric and gestational history, pregnancy weight changes and early trauma were associated with offspring's mental illness, including statistically significant findings for complications of pregnancy, pregnancy weight changes, general trauma, physical punishment and emotional abuse. These findings highlight the different risk factor exposures that occur within a family, which may increase the risk for severe mental illness.

Serial processing of proximity groups and similarity groups.

Proximity and feature similarity are two important determinants of perceptual grouping in vision. When viewing visual scenes conveying both grouping options simultaneously, people most usually detect proximity groups faster than similarity groups. This article demonstrates that perceptual judgments of grouping orientation guided by either proximity or contrast similarity are indicative of a sequential organization of grouping operations in the visual pathway, which lends a temporal processing advantage to proximity grouping (Experiment 1). Invoking the double-factorial paradigm, latent cognitive architecture for perceptual grouping is also investigated in a task with redundant signals (Experiment 2). Reaction time data from this task is assessed in terms of the race model inequality, workload capacity analysis, and interaction contrasts of means and survivor functions. Again, empirical benchmarks indicate serial processing of proximity groups and similarity groups, with a self-terminating stopping rule for processing. A subset of participants exhibit atypical performance metrics, hinting at possible individual differences in configural visual processing.

Expanding FTMap for Fragment-Based Identification of Pharmacophore Regions in Ligand Binding Sites.

The knowledge of ligand binding hot spots and of the important interactions within such hot spots is crucial for the design of lead compounds in the early stages of structure-based drug discovery. The computational solvent mapping server FTMap can reliably identify binding hot spots as consensus clusters, free energy minima that bind a variety of organic probe molecules. However, in its current implementation, FTMap provides limited information on regions within the hot spots that tend to interact with specific pharmacophoric features of potential ligands. E-FTMap is a new server that expands on the original FTMap protocol. E-FTMap uses 119 organic probes, rather than the 16 in the original FTMap, to exhaustively map binding sites, and identifies pharmacophore features as atomic consensus sites where similar chemical groups bind. We validate E-FTMap against a set of 109 experimentally derived structures of fragment-lead pairs, finding that highly ranked pharmacophore features overlap with the corresponding atoms in both fragments and lead compounds. Additionally, comparisons of mapping results to ensembles of bound ligands reveal that pharmacophores generated with E-FTMap tend to sample highly conserved protein-ligand interactions. E-FTMap is available as a web server at https://eftmap.bu.edu.

Using equivalence tests in higher tier studies of honey bees under the revised EFSA Bee Guidance-How?

The proposed use of equivalence tests instead of difference tests in the revised guidance on the risk assessment of plant protection products for bees is a reasonable approach given an adverse effect was observed in the lower tier studies, using the hypothesis that there is a risk as the null hypothesis places the burden to prove the opposite on the other side. However, some uncertainties regarding the application of equivalence tests in field studies are discussed in the present study. Here, we compare equivalence and difference testing methods using a control dataset of a honey bee field effect study conducted in northern Germany in 2014. Half of the 48 colonies were assigned to a hypothetical test item group, and the colony strength data were analyzed using t-tests, a generalized linear mixed model (GLMM), and the corresponding equivalence tests. The data reflected the natural variability of honey bee colonies, with initially approximately 12 000 adult bees. Although the t-test and GLMM confirmed that 24 + 24 colonies are sufficient to show "no adverse effect," the equivalence tests of the t-test and GLMM were not able to reject the null hypothesis and classified at least some of the assessments as "high risk," indicating a power that was too low. Based on this, different operating options to reduce the variability are discussed. One possible option, which may provide a more realistic application of equivalence to avoid false high risk, is to consider the lower confidence interval of the control as a baseline and use GLMMs. With this option, we demonstrate a relatively acceptable probability to prove that no high risk for initially similar groups can be achieved. Further studies with different numbers of colonies are still needed to develop and validate the suggested approach. Integr Environ Assess Manag 2024;20:1496-1503. © 2024 SETAC.

Classification in physical education

&#x0D; Classification in physical educationIt is not surprising to say that the phenomenon of individual differences between people is one of the most influential phenomena in our practical life. Since dealing with people and passing judgments on individuals, as well as learning, guidance, behavior, treatment, behavior, ... to other human activities, are subject in the general view to individual differences.The difference of people among themselves in many abilities (mental, motor, and physical) in personal traits, tendencies and psychological tendencies, as well as physical measures provides the opportunity to explain these differences, and then measure and classify them on the basis of homogeneous or similar groups, and this also allows us to subject this phenomenon (differences to Individual) for study and research.. Thus, it is considered one of the sciences with foundations, theories and principles that many scientific institutes have been interested in, and many scholars and experts specialize in it.&#x0D; &#x0D;

Cloud restoration of optical satellite imagery using time-series spectral similarity group

Cloud restoration of optical satellite imagery using time-series spectral similarity group

Effect of endometrial injury on pregnancy outcomes in infertile women undergoing intrauterine insemination.

One of the most common treatments for infertility is intrauterine insemination (II). The objective of this study was to determine the effect of endometrial injury on pregnancy outcomes in unexplained infertility in women undergoing II. In this randomized clinical trial, 122 women with unexplained infertility who were referred to Shariati Hospital from 2018 to 2020 were enrolled. They underwent ovulation induction using letrozole and gonadotropins. On day 9 of stimulation, they were randomly assigned to two similar groups of the same size. The first group underwent endometrial local injury by pipelle endometrial sampling, and the second group (control group) received no intervention. Only 1 II cycle was performed for each patient. Patients with negative pregnancy outcomes were followed up for 3 months. Endometrial thickness, dominant follicle count, chemical and clinical pregnancy rate, miscarriage rate, and spontaneous pregnancy rate after the II cycle were compared between the two groups. Endometrial thickness, dominant follicle count, chemical and clinical pregnancy rate, and miscarriage rate in the same II cycle were not different between the two groups (p>0.05). However, the spontaneous pregnancy rate after the II cycle was significantly higher in the endometrial injury group (p=0.02). Endometrial injury increases pregnancy rates in later cycles but not in the same II cycle.

The incidence of cancer following hospitalisation for a burn injury in Scotland 2009-2019: A retrospective cohort study

BackgroundStudies suggest increased occurrence of cancer in persons who have experienced a burn injury with hospital admission. ObjectiveTo determine the incidence of cancer among those hospitalised for burn injuries in Scotland compared with a similar group without a history of burn injury hospitalisation. MethodA retrospective cohort design was used to compare cancer (ICD10 C00–97, excluding C44) incidence in two groups: 6805 burn injury patients discharged from Scottish hospitals between 2009 and 2019, and 25,946 subjects from the general population who were matched to burn patients by sex, year of birth, and degree of social deprivation. Cancer incidence was identified from the Scottish cancer registry. Cox proportional hazard regression was used to model time to cancer incidence adjusting for age, sex, degree of deprivation and presence of a comorbidity. Cancer risk was presented as standardised incidence ratios (SIRs) and hazard ratios (HR). ResultsWe found a higher prevalence of pre-existing conditions, particularly alcohol abuse among patients with burns. Pre-existing cancers were more common in the burn cohort (3.5%) than the comparison group (1.7%) and were excluded from further analysis. Over a median follow-up of 4–5 years, a total of 236 (3.5%) burn patients and 969 (3.7%) persons in the comparison group were diagnosed with cancer. At 0–6 months the cancer SIR for burn patients was 1.88 95% CI (1.40–2.52). After excluding the first six months of follow-up, the overall incidence of cancer was marginally elevated in burn patients (SIR 1.04, 95% CI 0.90–1.19, p = 0.62) and not statistically different from the incidence in comparison subjects (adjusted HR 1.03, 95% CI 0.88–1.21, p = 0.71). ConclusionsPatients that suffer burn injury have a higher incidence of cancer than the general population and a group matched by age, sex and degree of deprivation. A higher incidence of adverse health-related behaviours such as smoking, alcohol use and pre-existing health conditions among many patients that suffer a burn most likely explain this observed increase. Any persisting inflammatory or immune dysfunction following burn injury is unlikely to account for the increase in cancers in this study.

The complete genome sequence of tomato necrotic ringspot virus in chilli in Thailand derived from next-generation sequencing.

Tomato necrotic ringspot virus (TNRV) was first reported in Thailand in 2011, where it continues to reduce the yield and quality of pepper and tomato crops. Here, we report the complete genome sequence of TNRV isolate chilli-CR derived from next-generation sequencing. The TNRV genome comprises 16,595 nucleotides (nt) on three RNA segments. The L RNA is 8,858 nt, the M RNA is 4,724 nt, and the S RNA is 3,013 nt in length. The genome structure and organization are typical of orthotospoviruses, encoding five proteins, named L, NSm, GNGC, NSs, and N. Pairwise comparison of each genomic RNA segment and its deduced amino acid (aa) sequence showed that TNRV chilli-CR shares 73.6-82.3% nt sequence identity and 81.1-91.9% aa sequence identity with pepper chlorotic spot virus (PCSV). Similar phylogenetic groupings were observed based on each genomic RNA or deduced aa sequence, and with concatenated genomic RNA sequences. The clustering of TNRV and PCSV in all phylogenetic analyses, and the 78.9% overall nt sequence identity observed using the concatenated genomic RNAs suggest that TNRV is a distinct orthotospovirus and that analysis of concatenated orthotospovirus genome sequences will be of value in future phylogenetic studies of this virus group.

Standardising bee sampling: A systematic review of pan trapping and associated floral surveys.

The use of coloured pan traps (bee bowls, Moericke traps) for sampling bees (and other pollinators) has continuously increased over the last two decades. Although a number of methodological studies and conceptual frameworks offer guidance on standardised sampling, pan trap setups vary widely in characteristics even when optimised for capturing bees. Moreover, some uncertainty persists as to how local flower abundance and diversity influence sampling. We systematically reviewed peer-reviewed studies that used pan traps for bee collection and that were listed in the Web of Science core collection. To gauge methodological variation, we identified a set of relevant methodological criteria and assessed the studies accordingly. For obtaining evidence that pan trap samples and floral environment around traps are correlated, we screened the relevant studies for such correlations. While some aspects of pan trapping (e.g., trap coloration and elevation) were similar in the majority of studies, other aspects varied considerably (e.g., trap volume/diameter and sampling duration). Few studies used floral abundance and/or diversity as an explanatory variable in their analyses of bee samples. Among these studies, we found a considerable variation in key aspects of floral survey methods, such as time and space between vegetation surveys and pan trap sampling, abundance measures (quantitative, semi-quantitative and presence-absence), and processing of raw data prior to analysis. Often studies did not find any correlation between the floral environment and bee samples. Reported correlations varied markedly across studies, even within groups of studies applying a similar method or analysing a similar group of bees. Our synthesis helps to identify key issues of further standardisation of pan trap methodology and of associated floral surveys. In addition to the few aspects that have been standardised over the past decades, we suggest methodological direction for future research using pan traps as a better standardised method for the collection of wild bees. We encourage further studies to illuminate if and how varying floral resources around traps bias bee samples from pan traps. More generally, our synthesis shows that trapping methodologies should be reviewed regularly when their use increases to ensure standardisation.

Youth Suicides in the Second Wave of the Pandemic in Turkiye

Objective: It is widely recognized that the COVID-19 pandemic and associated social isolation have significant short- and long-term effects on mental health worldwide. Previous studies have yielded mixed results regarding the short-term impact on mental health during the first wave of the pandemic. This study aims to investigate the influence of the second wave of the pandemic on suicide rates among children and adolescents.&#x0D; Materials and Methods: This retrospective study recorded cases of self-harm among children and adolescents aged 6 to 18 years, who were admitted to our center's pediatric emergency department between November 1, 2020, and January 31, 2021. These cases were compared with those admitted during the same months one year prior, considering similar age groups and diagnoses.&#x0D; Results: A total of 53 cases were included in our study, with 21 cases occurring before the pandemic and 32 cases during the second wave. While the total number of admissions decreased during the second wave of the pandemic, there was an increase in suicide attempts. Suicide attempts were more prevalent among females, often linked to family or peer-related issues and impulsivity.&#x0D; Conclusions: The findings of our study highlight the evident long-term adverse effects on mental health during the second wave of the pandemic. To effectively address these consequences in the future, it is crucial to comprehend the devastating long-term impact of the pandemic on mental health.

A hybrid machine learning-based model for predicting flight delay through aviation big data

The prediction of flight delays is one of the important and challenging issues in the field of scheduling and planning flights by airports and airlines. Therefore, in recent years, we have witnessed various methods to solve this problem using machine learning techniques. In this article, a new method is proposed to address these issues. In the proposed method, a group of potential indicators related to flight delay is introduced, and a combination of ANOVA and the Forward Sequential Feature Selection (FSFS) algorithm is used to determine the most influential indicators on flight delays. To overcome the challenges related to large flight data volumes, a clustering strategy based on the DBSCAN algorithm is employed. In this approach, samples are clustered into similar groups, and a separate learning model is used to predict flight delays for each group. This strategy allows the problem to be decomposed into smaller sub-problems, leading to improved prediction system performance in terms of accuracy (by 2.49%) and processing speed (by 39.17%). The learning model used in each cluster is a novel structure based on a random forest, where each tree component is optimized and weighted using the Coyote Optimization Algorithm (COA). Optimizing the structure of each tree component and assigning weighted values to them results in a minimum 5.3% increase in accuracy compared to the conventional random forest model. The performance of the proposed method in predicting flight delays is tested and compared with previous research. The findings demonstrate that the proposed approach achieves an average accuracy of 97.2% which indicates a 4.7% improvement compared to previous efforts.

Visible Consumption, Income Inequality and Social Comparisons. Evidence from Four Latin American Countries

Increased conspicuous consumption motivated by status-seeking behavior can undermine the gains in well-being derived from economic growth. Using expenditure surveys from Argentina, Brazil, Mexico and Uruguay, we assess visible consumption motivated by status seeking behaviour, analyzing different hypotheses about the role of externalities driven by social comparisons and income inequality. Specifically, we provide evidence for the relevance of different reference groups, assessing comparisons with richer (Veblen effects), poorer and similar profile groups (Duesenberry effects). We show that individuals are affected by multiple reference groups. Regarding between-group inequality, we find that individuals mainly seek to differentiate themselves from poorer groups, rather than imitating richer ones. In all cases, average reference group income of similar profile individuals is negatively related to visible consumption. Meanwhile, within-reference group responses are relevant in Argentina, Brazil and Mexico: increased visible goods consumption is associated with larger relative income gaps. In Argentina and Brazil, the sensitivity of visible goods expenditures to income is higher among households located above the reference threshold, which is consistent, again, with more affluent households trying to signal status by differentiating themselves from the most deprived group members. Meanwhile, in the case of Mexico, there is a symmetric response.

An Experimental Assessment of Waste Transformer Oil and Palm Oil Biodiesel Blended with Diesel Fuel on A Single Cylinder Direct in Diesel Engine

The present work emphasized overall viability study of using waste transformer oil (WTO) and its combinations on a diesel engine. To accomplish this fuel samples were divided into three sets with different volumetric proportions. Each set of fuel is compared with the others and finally, the reference fuel is regular diesel. After thorough characterization and utilizing spectroscopic methods like CHNS analysis and FTIR, the performance and emission evaluation was done on a one-cylinder diesel engine. It has been discovered that the flash point, calorific value, and viscosity of WTO blends are more than regular diesel fuel. The WTO blends have higher carbon content than diesel but higher Sulphur content than diesel fuel. WTO and its blends have some similar functional groups as diesel fuel. According to the performance and emission evaluation, the diesel engine is capable of operating even when fueled with raw WTO. Among all the samples tested, WTO20 BD10D70 shows the most satisfactory result. The brake thermal efficiency of WTO20BD10D70 was almost similar to diesel fuel, while BSFC and BSEC were found to be only 4.73% and 3.46% higher than diesel fuel, respectively. The exhaust gas temperature was 8% lower than diesel. However, HC emission of WTO20BD10D70 was 20% more than diesel fuel, while CO and NOx emissions were 14% and 4.75% lower than diesel fuel. So, the sample code with WTO20BD10D70 can be recommended as a substitute for regular diesel fuel.

Influence of various sources of amino acids on composition of intestinal microflora of meat chickens and roosters of parent herd of cross “Smena 9”

Relevance. The intensin’s microbiota plays a crucial role in feed digestion and nutrient digestion in farm poultry, influencing zootechnical performance.The aim of the study was to compare the effect of the addition of lysine and methionine in various forms to the diet on the composition of the intestinal microflora of chickens and roosters of the «Smena 9» cross, as well as to establish a connection between the composition of microflora in different diets with the zootechnical indicators of birds.Methods. Physiological reseach were carried out on meat chickens of the Plimutrock breed and roosters of the Cornish breed of the parent herd of the domestic cross “Smena 9” selection of the “Smena” SSC. 4 groups were formed (control 1A and experimental 2A-4A) such as of 9 laying heads and 4 groups of 9 rooster heads (control 1B and experimental 2B-4B). Analysis of samples of the contents of blind processes of the intestine of birds was carried out by PCR.Results. As shown by the quantitative PCR method, the studied feeding factors: various sources of lysine and methionine and a 5% reduced level of metabolic energy of feed had a different effect on the composition of the microflora of chickens and roosters of the parent stock of the new cross «Smena 9». For example, with a decrease in the level of metabolic energy in the diets of chickens, there was a decrease from 1.2 to 5.0 times in such representatives of the normoflora as Bacteroidetes and Eubacteriaceae, compared with similar groups with a basic amount of metabolic energy (p &lt; 0.05). When lysine was introduced into the diet in the form of monochlorohydrate and DL-methionine, a decrease in the weight of ovaries with an oviduct by 6.9 g was noted against the background of a decrease in the level of metabolic energy compared with the corresponding group with a base content of metabolic energy (p ≤ 0.05), whereas when using lysine in the form of sulfate and methionine in the form of a hydroxyanalog of methionine, a similar effect was reduced not noted (p &gt; 0.05). At the same time, shifts in the composition of microflora against the background of changes in diets did not have any connection with the studied zootechnical parameters in chickens and roosters.

From Loose Groups to Rigorous Organizations: The Transitional Logic of Chinese Fan Communities from the Perspective of Media Development

Currently, Chinese fan organizations demonstrate strong internal cohesion and efficient executive force, far exceeding previous fan groups. This article explores the development of Chinese fan communities and finds that the Internet, a new kind of media that breaks through time and space limitations, has caused this change. Firstly, the development of the Internet has made timely interaction between fans possible, strengthening the internal cohesion of fan groups. Besides, the information cocoon brought by personalized recommendation algorithms further makes the fan communities change into homogeneous groups with similar value orientations and high group identification regarding their respective idols.Meanwhile, the flow economy based on the Internet has prompted fan groups to seek ways to achieve efficient data labor, leading to the division of labor within fan groups. As a result, these previously loose fan groups evolve into rigorous organizations with a hierarchical structure, functional division of labor, and institutional norms. The common emotional foundation—is the recognition of idols; the common goal—is creating internet flow for idols; the field of collective action is the internet and social media platforms; and the mechanism of unified action—the hierarchical and functional system makes the current Chinese fan organizations unprecedentedly strong.