Identical Clusters Research Articles

Immigrant student identities and classroom engagement

ABSTRACT Immigrant students bring to school multiple identities, shaped by language exposure at home and in school. The present study examined the relationship between the multiple identities of 264 immigrant students’ and their classroom engagement. Participants from French (n = 105), Russian (n = 63), English (n = 55) and Kuki (n = 41) speaking backgrounds in elementary, middle and high schools rated their current, preferred and future Israeli and heritage identities. Five identity clusters emerged: Strong Israeli (n = 27), Future Israeli (n = 43), Bicultural (n = 96), Current home (n = 49) and Strong home identity (n = 49). No differences were found among immigrant groups in terms of the identity cluster they fall under except for Kuki-Hebrew immigrants. Classroom engagement as measured by class attendance, participation, textbook use and assignment submission differed for the different identity clusters. Bicultural and Future Israeli identity clusters showed the highest engagement levels. Furthermore, younger students who opted for Current home identity exhibited the lowest engagement levels. The discussion argues for a multiple identities approach, challenging the conventional Home-School dichotomy used to study identity. This approach proposes using pedagogical approaches, such as translanguaging, to foster a sense of belonging and promote achievement among immigrant students by acknowledging their diverse linguistic and cultural backgrounds.

Pairing phase favored by magnetic frustration.

The interplay between magnetic frustration and pairing is investigated by adopting a BCS-like pairing mechanism on the frustrated $J_1-J_2$ Ising model on the square lattice. The ground-state and thermal phase transitions of the model are analyzed using a fermionic formulation within a cluster mean-field method. In this approach, the lattice system is divided into identical clusters, where the intracluster dynamic is exactly solved, and the intercluster interactions are replaced by self-consistent mean fields. We introduce a framework with two pairing couplings: an intracluster local coupling, $g$, which controls the electron pairing and its mobility within the clusters, and an intercluster coupling, $g'$, which adjusts the pairing mechanism between clusters. Tuning $g'/g$ allows evaluating how the pairing phase evolves from a weak pairing coupling between clusters (clustered system) to a strong one ($g' \rightarrow g$, homogeneous system). In the range $0 \le g'/g \le 1$, we find that a gradual increase in $g'/g$ favors the pairing phase and induces a change in criticality. In particular, our results reveal the presence of tricriticality for a certain range of $g'/g$. In addition, an increase in competing magnetic interactions weakens the magnetic orders, causing the pairing phase to occur at lower strengths of pairing interactions, especially when $g' = g$. Therefore, our findings support that magnetic frustration favors the pairing phase, contributing to the onset of a superconducting state.

Sea turtles stranded ashore: Sociocultural dissonance and identity conflicts in migration intentions of Chinese international student returnees

In the post-COVID-19 era, Chinese international student returnees are facing greater identity conflicts during their reintegration. Understanding their sociocultural and ideological identity negotiation will better accommodate their needs and facilitate their integration into society. This study explored identity conflicts experienced by Chinese student returnees across ecological systems after reentry to China during COVID-19. A qualitative approach was used with 20 returnees. The key findings of this study reveal multi-layered conflicts stemming from the discordance between traditional Eastern values and newly acquired Western perspectives across meso-to-macro systems. In addition, important factors corresponding to returnees’ social capital were identified during the acculturation. Coping mechanisms and migration intentions were observed to vary distinctly among the identified identity clusters. Individuals with a "homestayer" identity, characterized by a deep commitment to integrating with the Chinese community and a higher level of perceived social capital in China, predominantly employed positive coping strategies, such as behavioral adaptation. This group exhibited a strong inclination to remain in China. Conversely, those with a "wayfarer" identity, who experienced deeper immersion in foreign cultures and displayed critical views towards Chinese society with a perceived low social capital in China, tended to adopt negative coping strategies like social withdrawal, correlating with a pronounced intention to migrate. Finally, "navigators", who skillfully balance their native Chinese and foreign cultural identities and effectively manage transnational engagements and diverse cultural norms through their perceived strong social capital in both societies, demonstrated a tendency towards hybrid coping strategies tailored to individual scenarios, reflecting a nuanced, case-by-case approach. This group exhibited a mixed migration intention, indicative of their flexible identity orientation. These findings suggest the need for multi-level support systems and policies that not only facilitate returnee identity continuity but also foster an inclusive and diverse societal framework to effectively retain this valuable population.

Improving community resilience to disrupted food access: Empirical spatio-temporal analysis of volunteer-based crowdsourced food delivery

Unplanned disaster events can greatly disrupt access to essential resources, with calamitous outcomes for already vulnerable households. This is particularly challenging when concurrent extreme events affect both the ability of households to travel and the functioning of traditional transportation networks that supply resources. This paper examines the use of volunteer-based crowdsourced food delivery as a community resilience tactic to improve food accessibility during overlapping disruptions with lasting effects, such as the COVID-19 pandemic and climate disasters. The study uses large-scale spatio-temporal data (n = 28,512) on crowdsourced food deliveries in Houston, TX, spanning from 2020 through 2022, merged with data on community demographics and significant disruptive events occurring in the two-year timespan. Three research lenses are applied to understand the effectiveness of crowdsourced food delivery programs for food access recovery: 1) geographic analysis illustrates hot spots of demand and impacts of disasters on requests for food assistance within the study area; 2) linear spatio-temporal modeling identifies a distinction between shelter-in-place emergencies and evacuation emergencies regarding demand for food assistance; 3) structural equation modeling identifies socially vulnerable identity clusters that impact requests for food assistance. The findings from the study suggest that volunteer-based crowdsourced food delivery adds to the resilience of food insecure communities, supporting its effectiveness in serving its intended populations. The paper contributes to the literature by illustrating how resilience is a function of time and space, and that similarly, there is value in a dynamic representation of community vulnerability. The results point to a new approach to resource recovery following disaster events by shifting the burden of transportation from resource-seekers and traditional transportation systems to home delivery by a crowdsourced volunteer network.

Early identification of the nosocomial spread of vancomycin-resistant Enterococcus faecium by Fourier-transform infrared spectroscopy and performance comparison with PFGE and WGS

ABSTRACT Early detection of disseminating vancomycin-resistant Enterococcus faecium (VREfm) in ICU wards is crucial for outbreak identification and the implementation of prompt infection control measures. Genotypic methods like pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing (WGS) are costly and time-consuming, hindering rapid response due to batch dependency. Fourier-transform infrared spectroscopy (FT-IR) offers the potential for real-time outbreak detection and reliable strain typing. We utilized FT-IR to identify clonal VREfm dissemination and compared its performance to PFGE and WGS. Between February through October 2023, an unusually high number of VREfm were recovered at a tertiary hospital in Barcelona. Isolates were examined for antimicrobial susceptibility, carriage of vanA/vanB genes and clonality was also studied using FT-IR, PFGE, and WGS. Routine FT-IR inspections revealed recurring VREfm clustering during the outbreak's initial weeks. In total, 104 isolates were recovered from 75 patients and from multiple wards. However, only one isolate was recovered from an environmental sample, suggesting the absence of environmental reservoirs. An ST80 vancomycin-resistant (vanA) E. faecium strain was the main strain responsible for the outbreak, although a few additional VREfm strains were also identified, all belonging to CC17. PFGE and cgMLST (WGS) yielded identical clustering results to FT-IR, and WGS confirmed vanA/vanB gene carriage in all VREfm isolates. Infection control measures led to a rapid decline in VREfm isolates, with no isolates detected in November. FT-IR spectroscopy offers rapid turnaround times, sensitivity, and reproducibility, comparable to standard typing methods. It proved as an effective tool for monitoring VREfm dissemination and early outbreak detection.

EXTERIOR FEATURES OF COWS OF DIFFERENT BREEDS AND INTERBREED TYPES

The purpose of the research was to determine the features of the exterior of first-calf heifers of different breeds, interbreed types and the influence of conditional blood by improving breeds. The exterior was evaluated in the herd of dairy cattle of the "Rosiya" breeding farm of the Donetsk region of 111 first-calf heifers Angler (AN), 28 – Red Danish (RD), 2034 – Ukrainian Red Dairy (URD), 69 – Ukrainian Black-and-White Dairy (UBWD) and 16 – Holstein (H) breeds by the methods of instrumental (10 measurements), visual (10 linear descriptive signs of type) assessment and calculation of body structure indices. Among the URD, 700 animals are classified as fat-milk (FRD) and 1334 – to holsteinized (HRD) interbreed types. A significant level of interbreeding differentiation of first-calf heifers was established based on the evaluated external features. In the first-calf heifers of the H, UBWD and URD breeds, better development in height, chest and rump, as well as a general improvement in body structure, was noted. The first-calf heifers of the AN and RD breeds are characterized by the largest diameters of the length of the body and the smallest - the circumference of the shin. According to the exterior, two identical clusters of breeds and types are defined. The first includes animals of AN, RD breeds and FRD, the second – first-calf heifers of H, UBWD and HRD. The use of the H breed in crossbreeding shifts the proportions of the cow's exterior in the direction of increased height, long legs, relative narrow-chested, lowness, eyrisomia, and RD and AN – in the direction of stretched, bony, massive and overgrown. At the same time, the interbreed differentiation into quality groups according to the exterior and milk yield of HRD and FRD within a single URD exceeds in many cases the interbreed difference of the Holstein cluster (URD, UBWD, H). It was established by the analysis of variance that breed affiliation determines 0.3...7.5% of the total phenotypic variability of the exterior of first-calf heifers, and conditional blood by the H breed – 1.7...56.2%. Conditional blood by the H breed shows a direct reliable relationship with height at the withers (r = 66.0 ± 1.57%), rump (63.1 ± 1.62%), depth (22.4 ± 2.03%) and girth of the chest (42.7 ± 1.89%), width of buttocks (28.6 ± 2.00%), length of rump (21.2 ± 2.13%) and circumference of the shin (33.3 ± 1.97%). The width of the chest increases with an increase in conditional blood in the AN breed (15.0 ± 2.06%), and the length of body - in the RD breed (12.5 ± 2.07%). The established (correlation analysis) level and direction of the relative variability of conditional blood for improving breeds with exterior and milking traits confirms the expediency and perspective of using the H gene pool and the impracticality of further use of AN, RD and FRD.

A dynamic identity process approach to veg*nism: Does identity status matter among meat‐reducers?

AbstractThe current study investigated meat‐reducers' (vegan, vegetarian, and flexitarian) dietary identities using an identity process approach. Drawing on identity development theories, we aimed to (i) classify meat‐reducers from the United Kingdom and United States (N = 375) based on their level of identity exploration and commitment, and (ii) examine the effect of dietary identity status on diet and group‐based behaviours. Findings demonstrated evidence for three identity clusters: achieved (high exploration and high commitment), foreclosed (lower exploration and higher commitment), and diffused (low exploration and low commitment) meat‐reducers. Vegans were more likely to display an achieved dietary identity, whereas the majority of flexitarians indicated a diffused identity. More importantly, identity status had significant effects on all outcome measures, with achieved meat‐reducers reporting greatest dietary strictness, greatest centrality and private regard, but lowest public regard, as well as most negative attitudes towards meat‐eaters and greatest activism. We discuss how investigating dietary identities with a ‘process framework’ may point to a more inclusive view of social identities among people who follow a plant‐based diet.

Simultaneous clonal spread of NDM-1–producing Pseudomonas aeruginosa ST773 from Ukrainian patients in the Netherlands and Spain

ObjectivesWe describe the clonal spread of New Delhi metallo-β-lactamase (NDM) 1–producing Pseudomonas aeruginosa isolates belonging to the ST773 clone in Spain and the Netherlands, associated with the transfer of Ukrainian patients during the war. MethodsBetween March and December 2022, nine NDM-1–producing P. aeruginosa ST773 isolates were recovered from nine Ukrainian patients evacuated to two Spanish (n = 3) and five Dutch (n = 6) hospitals. Antimicrobial susceptibility testing was studied (Sensititre, Microscan, EUCAST-2023). Whole genome sequencing (Illumina, Oxford-Nanopore) was used to analyze the genetic relatedness, the resistome, and the prophage content. ResultsAll NDM-1–producing P. aeruginosa ST773 isolates exhibited resistance to all tested antimicrobials except colistin, aztreonam, and cefiderocol. Genomic analysis revealed that all isolates had an identical resistome and a chromosomally encoded integrative conjugative element carrying the blaNDM-1 gene. The core genome multilocus sequence typing and core genome single nucleotide polymorphisms analysis showed highly related isolates, irrespective of country of isolation, distant from other NDM-1-ST773 P. aeruginosa not collected in Ukraine. Both analysis revealed two closely related clusters, spanning the Spanish and Dutch isolates. In addition, a high content of prophages was identified in all strains, most of them in more than one isolate simultaneously, regardless of their origin country. Moreover, an identical phage tail-like bacteriocin cluster was identified in all NDM-1-ST773 P. aeruginosa. ConclusionsWe report a clonal dissemination of NDM-producing P. aeruginosa ST773 to the Netherlands and Spain associated with patients from Ukraine. Our work highlights the importance of genomic surveillance and to understand the dynamics of resistance in multidrug-resistant bacteria after the transfer of patients from conflict zones. International collaboration is crucial to address global antimicrobial resistance.

The darkness of reacculturation: examining factors influencing depression among Chinese international student returnees in the post-COVID-19 era.

In the aftermath of the COVID-19 pandemic, the reintegration of Chinese international student returnees intersects with China's critical effort to combat a significant brain drain of highly skilled talents, highlighting an unprecedented psychological battleground. This convergence underscores the urgent need for nuanced research to navigate the uncharted territory of their mental health. Employing Bayesian analysis supported by Markov Chain Monte Carlo (MCMC) algorithms, this study examined depression prevalence and associated factors among 1,014 Chinese returnees. The sample comprised 44.87% male participants (455), 51.58% female participants (523), and 3.55% identifying as "Others" (36), with an age distribution of 61.74% aged 18-30 (626), 28.80% aged 31-40 (292), and 9.47% aged 41-50 (96). The mean age of participants was 29.6 years, ranging from 18 to 50 years. PHQ-9 diagnoses revealed alarming levels of depression, with 47.9% exhibiting a moderately severe degree of depressive disorder. Our findings highlight the intricate interplay between identity clusters- "homestayers" (those leaning towards a Chinese cultural identity), "navigators" (those with a bicultural identity), and "wayfarers" (those leaning towards a foreign cultural identity)-and the likelihood of depression. Specifically, homestayers showed a clear and strong negative association, navigators demonstrated a positive association, and wayfarers had a positive yet unclear correlation with depression levels. Furthermore, acculturation, age, and gender showed no significant effects, whereas education mildly mitigated depression. Based on these findings, we suggest the implementation of better-tailored mental health support and policies to facilitate smoother reintegration.

Rhizobium hidalgonense and Rhizobium redzepovicii as faba bean (Vicia faba L.) microsymbionts in Mexican soils.

As a legume crop widely cultured in the world, faba bean (Vicia faba L.) forms root nodules with diverse Rhizobium species in different regions. However, the symbionts associated with this plant in Mexico have not been studied. To investigate the diversity and species/symbiovar affiliations of rhizobia associated with faba bean in Mexico, rhizobia were isolated from this plant grown in two Mexican sites in the present study. Based upon the analysis of recA gene phylogeny, two genotypes were distinguished among a total of 35 isolates, and they were identified as Rhizobium hidalgonense and Rhizobium redzepovicii, respectively, by the whole genomic sequence analysis. Both the species harbored identical nod gene cluster and the same phylogenetic positions of nodC and nifH. So, all of them were identified into the symbiovar viciae. As a minor group, R. hidalgonense was only isolated from slightly acid soil and R. redzepovicii was the dominant group in both the acid and neutral soils. In addition, several genes related to resistance to metals (zinc, copper etc.) and metalloids (arsenic) were detected in genomes of the reference isolates, which might offer them some adaptation benefits. As conclusion, the community composition of faba bean rhizobia in Mexico was different from those reported in other regions. Furthermore, our study identified sv. viciae as the second symbiovar in the species R. redzepovicii. These results added novel evidence about the co-evolution, diversification and biogeographic patterns of rhizobia in association with their host legumes in distinct geographic regions.

Vancomycin heteroresistance caused by unstable tandem amplifications of the vanM gene cluster on linear conjugative plasmids in a clinical Enterococcus faecium.

Vancomycin heteroresistance is prone to missed detection and poses a risk of clinical treatment failure. We encountered one clinical Enterococcus faecium strain, SRR12, that carried a complete vanM gene cluster but was determined as susceptible to vancomycin using the broth microdilution method. However, distinct subcolonies appeared within the clear zone of inhibition in the E-test assay, one of which, named SRR12-v1, showed high-level resistance to vancomycin. SRR12 was confirmed as heteroresistant to vancomycin using population analysis profiling and displayed "revive" growth curves with a lengthy lag phase of over 13 hours when exposed to 2-32 mg/L vancomycin. The resistant subcolony SRR12-v1 was found to carry an identical vanM gene cluster to that of SRR12 but a significantly increased vanM copy number in the genome. Long-read whole genome sequencing revealed that a one-copy vanM gene cluster was located on a pELF1-like linear plasmid in SRR12. In comparison, tandem amplification of the vanM gene cluster jointed with IS1216E was seated on a linear plasmid in the genome of SRR12-v1. These amplifications of the vanM gene cluster were demonstrated as unstable and would decrease accompanied by fitness reversion after serial passaging for 50 generations under increasing vancomycin pressure or without antibiotic pressure but were relatively stable under constant vancomycin pressure. Further, vanM resistance in resistant variants was verified to be carried by conjugative plasmids with variable sizes using conjugation assays and S1-pulsed field gel electrophoresis blotting, suggesting the instability/flexibility of vanM cluster amplification in the genome and an increased risk of vanM resistance dissemination.

Strain typing and antimicrobial susceptibility of Salmonella enterica Albany isolates from duck farms in South Korea

Salmonella enterica is distributed worldwide and is a common cause of bacterial food poisoning in humans and a serious public health problem. Although duck meat consumption has recently increased in Korea, studies on the epidemiological relationship between S. enterica contamination in duck farms are scarce. Salmonella enterica serovar Albany isolates recovered from duck farms were analyzed using two typing methods — IR Biotyper® (IRBT) and multilocus variable-number tandem repeat analysis (MLVA). The clustering results were compared with the epidemiological survey findings and the antimicrobial resistance profiles. From April 2019 to October 2020, 20 individual feces per farm from 5–6-week-old ducks were collected repeatedly from 105 duck farms. Salmonella spp. isolated from duck feces were identified using PCR and multilocus sequence typing to investigate the prevalence and distribution of the Salmonella serovars. The prevalence of S. enterica was 19%, and S. enterica Albany was the predominantly recovered isolate. The S. enterica Albany isolates underwent antimicrobial susceptibility testing to determine the minimum inhibitory concentration. MLVA and IRBT methods established relatedness and diversity among the S. enterica Albany isolates. Multidrug-resistant S. enterica Albany was distributed in all the farms. Antimicrobial resistance profiles reflected the duck farm characteristics and isolates recovered from the same farm showed an identical profile. Isolates repeatedly recovered from the same farm also showed identical IRBT clusters and MLVA groups. These findings suggest that the isolates remained on the duck farm and re-infected new duck flocks. Thus, proper cleaning and disinfection is required before the farms are repopulated.

Sociodemographic distributions and molecular characterization of colonized Enterococcus faecium isolates from locality hospitals in Khartoum, Sudan.

Enterococcus faecium is an opportunistic pathogen of humans with diverse hosts, encompassing animals as well as human beings. In the past twenty years, there has been a rise in the instances of nosocomial infections that are linked to antibiotic-resistant Enterococcus faecium. The acquisition of diverse antimicrobial resistance factors has driven the global development of robust and convergent adaptive mechanisms within the healthcare environment. The presence of microorganisms in hospitalized and non-hospitalized patient populations has been significantly aided by the facilitation of various perturbations within their respective microbiomes. This study aimed to determine the antimicrobial profile, demographic and clinical characteristics, along with the detection of virulence encoding genes, and to find out the clonal genetic relationship among colonized E. faecium strains. A hospital-based cross-sectional study was carried out between October 2018 and March 2020 at four Khartoum locality hospitals in Sudan. The study comprised a total of 108 strains of E. faecium isolated from patients admitted to four locality hospitals in Khartoum. A self-structured questionnaire was used to gather information on sociodemographic traits. Data were analyzed using chi-square test. In all cases, P value ≤ 0.05 with a corresponding 95% confidence interval was considered statistically significant. Moreover, enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR) was utilized to assess the prevalence of clonal relationships, and the gel was analyzed using CLIQS software. In this study, the isolation rate of colonized E. faecium strains was 108/170 (63.5%). The colonization of E. faecium and its association with various sociodemographic and clinical features was examined. 73 (67.6%) of patients had multidrug-resistant (MDR), and 22 (20.4%) had extensively drug-resistant (XDR), 73 (67.6%) of patients engaged in self-medication practices. Eighty patients (74.1%) were non-adherence to prescribed antibiotics, while 70 (64.8%) patients reported recent antibiotic usage within the 3 months. The present study suggests that demographic factors may not be significantly associated with the incidence of E. faecium infection except for patients who had a prior history of antibiotic use (P≤0.005). The analysis of virulence genes showed a high prevalence of asa1 gene (22.2%) among strains. In ERIC-PCR the genetic relatedness of E. faecium showed seven identical clusters (A-G) with 100% genetic similarity. This implies clonal propagation in hospitals and communities. This study found that the incidence of E. faecium isolated from locality hospitals in Khartoum was likely due to the spread of E. faecium clones, thereby highlighting the need for intensifying infection control measures to prevent the spreading of nosocomial infection.

Exploring disease axes as an alternative to distinct clusters for characterizing sepsis heterogeneity.

Various studies have analyzed sepsis subtypes, yet the reproducibility of such results remains unclear. This study aimed to determine the reproducibility of sepsis subtypes across multiple cohorts. The study examined 63,547 sepsis patients from six distinct cohorts who had similar sepsis-related characteristics (vital signs, lactate, sequential organ failure assessment score, bilirubin, serum, urine output, and Glasgow coma scale). Identical cluster analysis techniques were used, employing 27 clustering schemes, and normalized mutual information (NMI), a metric ranging from 0 to 1 with higher values indicating better concordance, was employed to quantify the clustering solutions' reproducibility. Principal component analysis (PCA) was utilized to obtain the disease axis, and its uniformity across cohorts was evaluated through patterns of feature loading and correlation. The reproducibility of sepsis clustering subtypes across the various studies was modest (median NMI ranging from 0.08 to 0.54). The top-down transfer learning method (model trained on cohorts with greater severity was transferred to cohorts with lower severity score) had a higher NMI value than the bottom-up approach (median [Q1, Q3]: 0.64 [0.49, 0.78] vs. 0.23 [0.2, 0.31], p < 0.001). The reproducibility was greater when the transfer solution was performed within United States (US) cohorts. The PCA analysis revealed that the correlation pattern between variables was consistent across all cohorts, and the first two disease axes were the "shock axis" and "systemic inflammatory response syndrome (SIRS) axis." Cluster analysis of sepsis patients across various cohorts showed modest reproducibility. Sepsis heterogeneity is better characterized through continuous disease axes that coexist to varying degrees within the same individual instead of mutually exclusive subtypes.

Cluster Analysis to Explore Clinical Subphenotypes of Eosinophilic Granulomatosis With Polyangiitis.

Previous studies suggested that distinct phenotypes of eosinophilic granulomatosis with polyangiitis (EGPA; formerly known as Churg-Strauss syndrome) could be determined by the presence or absence of antineutrophil cytoplasmic antibodies (ANCA), reflecting predominant vasculitic or eosinophilic processes, respectively. This study explored whether ANCA-based clusters or other clusters can be identified in EGPA. This study used standardized data of 15 European centers for patients with EGPA fulfilling widely accepted classification criteria. We used multiple correspondence analysis, hierarchical cluster analysis, and a decision tree model. The main model included 10 clinical variables (musculoskeletal [MSK], mucocutaneous, ophthalmological, ENT, cardiovascular, pulmonary, gastrointestinal, renal, central, or peripheral neurological involvement); a second model also included ANCA results. The analyses included 489 patients diagnosed between 1984 and 2015. ANCA were detected in 37.2% of patients, mostly perinuclear ANCA (85.4%) and/or antimyeloperoxidase (87%). Compared with ANCA-negative patients, those with ANCA had more renal (P < 0.001) and peripheral neurological involvement (P = 0.04), fewer cardiovascular signs (P < 0.001), and fewer biopsies with eosinophilic tissue infiltrates (P = 0.001). The cluster analyses generated 4 (model without ANCA) and 5 clusters (model with ANCA). Both models identified 3 identical clusters of 34, 39, and 40 patients according to the presence or absence of ENT, central nervous system, and ophthalmological involvement. Peripheral neurological and cardiovascular involvement were not predictive characteristics. Although reinforcing the known association of ANCA status with clinical manifestations, cluster analysis does not support a complete separation of EGPA in ANCA-positive and -negative subsets. Collectively, these data indicate that EGPA should be regarded as a phenotypic spectrum rather than a dichotomous disease.

Racial Identity Attitudes and Vicarious Traumatization from Undue Police Violence on Anticipatory Traumatic Reaction Among Black Americans.

Although the viral nature of videos that capture violent and racialized policing of Black Americans in the United States can increase awareness, exposure to race-based violence can result in vicarious traumatization, particularly among Black Americans. The relationship between anticipatory traumatic reactions (ATRs) and racial identity attitudes is not clearly addressed in the extant body of literature. The current study addresses this research disparity by first analyzing group mean differences among Black Americans (N = 138) who were assigned to audiovisual, written, and imaginal exposure groups. The current study also used a cluster analysis of Black Americans to examine the differences between racial identity attitudes and ATRs following media exposure to undue police violence. Results from the study indicated that no differences in ATRs existed based on types of media exposure. Significant differences across three racial identity clusters existed between ATR in association with attitudes of assimilation, miseducation, self-hatred, anti-dominance, and ethnic-racial salience. Findings from the study suggest that mental health professionals should attend to racial identity attitudes as a relevant factor in how Black American clients experience the psychological impact of media exposure to undue police violence.

Cluster Analysis To Explore Clinical Subphenotypes Of Eosinophilic Granulomatosis With Polyangiitis (Churg-Strauss).

Previous studies suggested that distinct phenotypes of eosinophilic granulomatosis with polyangiitis (EGPA) could be determined by presence or absence of antineutrophil cytoplasmic antibodies (ANCA), reflecting predominant vasculitic or eosinophilic processes, respectively. This study explored whether ANCA-based clusters or other clusters can be identified in EGPA. This study used standardized data of 15 European centers for patients with EGPA fulfilling widely accepted classification criteria. We used multiple correspondence analysis, hierarchical cluster analysis, and a decision tree model. The main model included 10 clinical variables (musculoskeletal, mucocutaneous, ophthalmological, ENT, cardiovascular, pulmonary, gastrointestinal, renal, central or peripheral neurological involvement); a second model also included ANCA results. The analyses included 489 patients diagnosed in 1984-2015. ANCA were detected in 37.2% of patients, mostly P-ANCA (85.4%) and/or anti-myeloperoxidase (87.0%). Compared with ANCA-negative patients, those with ANCA had more renal (P<0.001) and peripheral neurological involvement (P=0.04), fewer cardiovascular signs (P<0.001) and fewer biopsies with eosinophilic tissue infiltrates (P=0.001). The cluster analyses generated four (model without ANCA) and five clusters (model with ANCA). Both models identified three identical clusters of 34, 39 and 40 patients according to the presence or absence of ENT, CNS and ophthalmological involvement. Peripheral neurological and cardiovascular involvement were not predictive characteristics. Although reinforcing the known association of ANCA status with clinical manifestations, cluster analysis does not support a complete separation of EGPA in ANCA-positive and -negative subsets. Collectively, these data indicate that EGPA should be regarded as a phenotypic spectrum rather than a dichotomous disease.

Dimensions of Identity Development Scale: Confirmatory factor analysis, gender invariance, and external validity of the Persian version.

The present study was conducted to examine the psychometric properties and gender invariance of the Iranian version of the Dimensions of Identity Development Scale (DIDS). A total of 1453 adolescents (50.8% female; 14-18 years old, mean = 15.48) participated in a cross-sectional study and completed the DIDS and the Youth Self-Report of behavior problems. The Confirmatory Factor Analysis supported the six-factor model of the DIDS, echoing past studies showing the original 5th factor (Exploration in Depth) being divided into Exploration in Depth and Reconsidering the Commitment. The invariance testing showed comparable measurement properties of the DIDS across males and females (strict measurement invariance). Further, behavior problems were associated positively with Ruminative Exploration and negatively with Commitment Making, Identification with Commitments, Exploration in Depth, and Reconsideration of Commitments, whereas the opposite was true for academic performance. A six-factor DIDS was shown to be a valid and reliable measure for the assessment of identity development dimensions among Iranian adolescents. Future studies in the Iranian context evaluating the identity clusters derived from identity dimensions and their gender differences are warranted.

Peeking beneath the precision floor − II. Probing the chemo-dynamical histories of the potential globular cluster siblings, NGC 288 and NGC 362

ABSTRACT The assembly history of the Milky Way (MW) is a rapidly evolving subject, with numerous small accretion events and at least one major merger proposed in the MW’s history. Accreted alongside these dwarf galaxies are globular clusters (GCs), which act as spatially coherent remnants of these past events. Using high precision differential abundance measurements from our recently published study, we investigate the likelihood that the MW clusters NGC 362 and NGC 288 are galactic siblings, accreted as part of the Gaia-Sausage-Enceladus (GSE) merger. To do this, we compare the two GCs at the 0.01 dex level for 20 + elements for the first time. Strong similarities are found, with the two showing chemical similarity on the same order as those seen between the three LMC GCs, NGC 1786, NGC 2210-, and NGC 2257. However, when comparing GC abundances directly to GSE stars, marked differences are observed. NGC 362 shows good agreement with GSE stars in the ratio of Eu to Mg and Si, as well as a clear dominance in the r- compared to the s-process, while NGC 288 exhibits only a slight r-process dominance. When fitting the two GC abundances with a GSE-like galactic chemical evolution model, NGC 362 shows agreement with both the model predictions and GSE abundance ratios (considering Si, Ni, Ba, and Eu) at the same metallicity. This is not the case for NGC 288. We propose that the two are either not galactic siblings, or GSE was chemically inhomogeneous enough to birth two similar, but not identical clusters with distinct chemistry relative to constituent stars.

An improved differential bond energy algorithm with fuzzy merging method to improve the document clustering for information mining

AbstractThe vast and diversified text materials on the internet in recent years have drastically increased the importance of information mining. By organizing documents into cohesive groupings, a document clustering method is a suitable tool for dealing with massive amounts of documents. Text documents, on the other hand, include sparse and uninformative features like noise, unrelated, and unneeded features, which reduce the efficiency of the document clustering methods. For noise removal, this work employs the hyperclique pattern‐based data cleaner pre‐processing approach. Then, differential bond energy algorithm (DBEA) is combined with a fuzzy merging approach and termed improved differential bond energy algorithm with fuzzy merging (IDBEFM) to handle the issues present in text document clustering. It seeks to discover and display natural variable clusters among large amounts of data. IDBEFM clusters are documented in three steps: in the first step, a cluster similarity matrix is instantiated by applying the DBEA. The second step develops an innovative technique for automatically dividing the cluster matrix into compact cohesive clusters, and in the third step, a fuzzy merging approach is used for combining identical clusters by the correlations and interrelationships between the resultant clusters. The test findings demonstrated that the accomplishment of the proposed technique is much superior to standard clustering algorithms.