Black Sheep Research Articles

Are you what you emoji? how skin tone emojis and profile pictures shape attention and social inference processing

Emojis can express emotions and some aspects of the sender’s identity; however, only limited research has explored how the choice of skin tone in emojis influences the perceptions of the users. We examined the interaction between emoji skin tones and profile pictures in instant messaging, using self-reported and eye tracking measures. White participants viewed 14 screenshots of conversations (9 target and 5 fillers) where the sender used an emoji in a Darker or Lighter skin tone, or the default Yellow; alongside profile pictures displaying a Black or White individual, or a landscape as a neutral condition. Results showed that Black senders using Darker emojis were seen as warmer and closer to the receiver, but less competent, suggesting a dimensional compensation effect. Conversely, Black senders using Lighter emojis appeared more competent, but less warm. In the Neutral condition, Lighter emojis improved warmth and relationship quality, but reduced competence inferences, unlike Yellow and Darker emojis, suggesting a black sheep effect (in-group strictness). Yellow emojis were assumed to be sent by White individuals. Eye-tracking measures revealed an implicit bias towards White senders using Darker emojis, although such an impact was not observed for Black senders using Lighter emojis. Overall, findings indicate that skin tone emojis and profile pictures influence sender perception and challenge the neutrality of Yellow emojis.

Population structure and selective signature of Kirghiz sheep by Illumina Ovine SNP50 BeadChip.

By assessing the genetic diversity and associated selective traits of Kirghiz sheep (KIR), we aim to uncover the mechanisms that contribute to sheep's adaptability to the Pamir Plateau environment. This study utilized Illumina Ovine SNP50 BeadChip data from KIR residing in the Pamir Plateau, Qira Black sheep (QBS) inhabiting the Taklamakan Desert, and commonly introduced breeds including Dorper sheep (DOR), Suffolk sheep (SUF), and Hu sheep (HU). The data was analyzed using principal component analysis, phylogenetic analysis, population admixture analysis, kinship matrix analysis, linkage disequilibrium analysis, and selective signature analysis. We employed four methods for selective signature analysis: fixation index (Fst), cross-population extended homozygosity (XP-EHH), integrated haplotype score (iHS), and nucleotide diversity (Pi). These methods aim to uncover the genetic mechanisms underlying the germplasm resources of Kirghiz sheep, enhance their production traits, and explore their adaptation to challenging environmental conditions. The test results unveiled potential selective signals associated with adaptive traits and growth characteristics in sheep under harsh environmental conditions, and annotated the corresponding genes accordingly. These genes encompass various functionalities such as adaptations associated with plateau, cold, and arid environment (ETAA1, UBE3D, TLE4, NXPH1, MAT2B, PPARGC1A, VEGFA, TBX15 and PLXNA4), wool traits (LMO3, TRPS1, EPHA5), body size traits (PLXNA2, EFNA5), reproductive traits (PPP3CA, PDHA2, NTRK2), and immunity (GATA3). Our study identified candidate genes associated with the production traits and adaptation to the harsh environment of the Pamir Plateau in Kirghiz sheep. These findings provide valuable resources for local sheep breeding programs. The objective of this study is to offer valuable insights for the sustainable development of the Kirghiz sheep industry.

PREVENT Equation: The Black Sheep among Cardiovascular Risk Scores? A Comparative Agreement Analysis of Nine Prediction Models in High-Risk Lithuanian Women.

Background and Objectives: In the context of female cardiovascular risk categorization, we aimed to assess the inter-model agreement between nine risk prediction models (RPM): the novel Predicting Risk of cardiovascular disease EVENTs (PREVENT) equation, assessing cardiovascular risk using SIGN, the Australian CVD risk score, the Framingham Risk Score for Hard Coronary Heart Disease (FRS-hCHD), the Multi-Ethnic Study of Atherosclerosis risk score, the Pooled Cohort Equation (PCE), the QRISK3 cardiovascular risk calculator, the Reynolds Risk Score, and Systematic Coronary Risk Evaluation-2 (SCORE2). Materials and Methods: A cross-sectional study was conducted on 6527 40-65-year-old women with diagnosed metabolic syndrome from a single tertiary university hospital in Lithuania. Cardiovascular risk was calculated using the nine RPMs, and the results were categorized into high-, intermediate-, and low-risk groups. Inter-model agreement was quantified using Cohen's Kappa coefficients. Results: The study uncovered a significant diversity in risk categorization, with agreement on risk category by all models in only 1.98% of cases. The SCORE2 model primarily classified subjects as high-risk (68.15%), whereas the FRS-hCHD designated the majority as low-risk (94.42%). The range of Cohen's Kappa coefficients (-0.09-0.64) reflects the spectrum of agreement between models. Notably, the PREVENT model demonstrated significant agreement with QRISK3 (κ = 0.55) and PCE (κ = 0.52) but was completely at odds with the SCORE2 (κ = -0.09). Conclusions: Cardiovascular RPM selection plays a pivotal role in influencing clinical decisions and managing patient care. The PREVENT model revealed balanced results, steering clear of the extremes seen in both SCORE2 and FRS-hCHD. The highest concordance was observed between the PREVENT model and both PCE and QRISK3 RPMs. Conversely, the SCORE2 model demonstrated consistently low or negative agreement with other models, highlighting its unique approach to risk categorization. These findings accentuate the need for additional research to assess the predictive accuracy of these models specifically among the Lithuanian female population.

(In)effective communication about social responsibility? Examining large european businesses in the Czech Republic

Purpose – Businesses are expected to be socially responsible by engaging in Corporate social responsibility (CSR) and even the Creation of shared values (CSV). The aim of this contribution is to critically explore whether large European businesses operating in Czechia, recognized as social responsibility leaders, effectively communicate CSR as opposed to their competitors. Research methodology – A case study with three stages was conducted. First, 35 large European businesses were identified, which repeatedly ranked among the TOP 25 Czech companies with the highest social responsibility BpS synthetic index, and their 15 competitors. Second, an Internet search and content analysis of Websites of these 50 companies was performed to categorize and assess how they report about their socially responsible behaviors. Third, leading Czech disinformation websites were examined for evidence of tacit cooperation with the disinformation scene in the form of support via advertising. Findings – The study revealed that large European businesses, recognized as social responsibility leaders, communicate extensively about their social responsibility. However, the effectiveness of such communications is controversial. In addition, a significant part of these businesses were found to be tacitly associated with disinformation platforms, which are completely at odds with with basic social responsibility concepts. Research limitations – The qualitative nature of the case study does not allow direct generalizations. Practical implications – The visualization of the juxtaposed results via comparative and complementary tables leads to pioneering propositions about the interest and lack of maturity regarding social responsibility, very diverse degrees of effectiveness of the communications, and even several alleged leaders failing in their efforts. Originality/Value – It is the first study to compare CSR communications by alleged white sheep and black sheep, while having consistency tested by association with disinformation websites. The generated propositions call for further longitudinal and multi-jurisdiction studies to verify and enhance the awareness about efficient, effective, mature and consistent social responsibility in the EU.

Transcriptomic and Metabolomic Analyses Reveal Molecular Regulatory Networks for Pigmentation Deposition in Sheep.

Domestic animals have multiple phenotypes of skin and coat color, which arise from different genes and their products, such as proteins and metabolites responsible with melanin deposition. However, the complex regulatory network of melanin synthesis remains to be fully unraveled. Here, the skin and tongue tissues of Liangshan black sheep (black group) and Liangshan semi-fine-wool sheep (pink group) were collected, stained with hematoxylin-eosin (HE) and Masson-Fontana, and the transcriptomic and metabolomic data were further analyzed. We found a large deposit of melanin granules in the epidermis of the black skin and tongue. Transcriptome and metabolome analysis identified 744 differentially expressed genes (DEGs) and 443 differentially expressed metabolites (DEMs) between the pink and black groups. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analyses revealed the DEGs and DEMs were mainly enriched in the pathways of secondary metabolic processes, melanin biosynthesis processes, melanin metabolism processes, melanosome membranes, pigment granule membranes, melanosome, tyrosine metabolism, and melanogenesis. Notably, we revealed the gene ENSARG00020006042 may be a family member of YWHAs and involved in regulating melanin deposition. Furthermore, several essential genes (TYR, TYRP1, DCT, PMEL, MLANA, SLC45A2) were significantly associated with metabolite prostaglandins and compounds involved in sheep pigmentation. These findings provide new evidence of the strong correlation between prostaglandins and related compounds and key genes that regulate sheep melanin synthesis, furthering our understanding of the regulatory mechanisms and molecular breeding of pigmentation in sheep.

Population structure and selection signal analysis of indigenous sheep from the southern edge of the Taklamakan Desert

Analyzing the genetic diversity and selection characteristics of sheep (Ovis aries) holds significant value in understanding their environmental adaptability, enhancing breeding efficiency, and achieving effective conservation and rational utilization of genetic resources. In this study, we utilized Illumina Ovine SNP 50 K BeadChip data from four indigenous sheep breeds from the southern margin of the Taklamakan Desert (Duolang sheep: n = 36, Hetian sheep: n = 74, Kunlun sheep: n = 27, Qira black sheep: n = 178) and three foreign meat sheep breeds (Poll Dorset sheep: n = 105, Suffolk sheep: n = 153, Texel sheep: n = 150) to investigate the population structure, genetic diversity, and genomic signals of positive selection within the indigenous sheep. According to the Principal component analysis (PCA), the Neighbor-Joining tree (NJ tree), and Admixture, we revealed distinct clustering patterns of these seven sheep breeds based on their geographical distribution. Then used Cross Population Extended Haplotype Homozygosity (XP-EHH), Fixation Index (FST), and Integrated Haplotype Score (iHS), we identified a collective set of 32 overlapping genes under positive selection across four indigenous sheep breeds. These genes are associated with wool follicle development and wool traits, desert environmental adaptability, disease resistance, reproduction, and high-altitude adaptability. This study reveals the population structure and genomic selection characteristics in the extreme desert environments of native sheep breeds from the southern edge of the Taklimakan Desert, providing new insights into the conservation and sustainable use of indigenous sheep genetic resources in extreme environments. Additionally, these findings offer valuable genetic resources for sheep and other mammals to adapt to global climate change.

Exemplary Self-Discipline, Leniency towards Others: Competitive Contexts Amplify the "Black Sheep Effect" in Restoring Ingroup Trust.

Intergroup interaction, a pivotal aspect of social interaction, encompasses both cooperation and competition. Group identity significantly impacts individual behaviors and decision-making processes. This influence manifests in two contrasting ways when addressing rule-breaking by interaction partners: in-group favoritism, where individuals are more lenient towards infractions committed by in-group members, and the black sheep effect, where in-group members are penalized for their rule-breaking. Although trust is crucial in intergroup interactions, the precise impact of group identity on trust restoration and the potential moderating role of intergroup interaction types remain to be elucidated. This study presents two experiments designed to explore these dynamics. In Study 1, the manipulation of group identity through a point estimation task was utilized to evaluate its impact on intergroup trust restoration via a series of repeated trust games. Study 2 aimed to explore the moderating role of intergroup interaction on intergroup trust restoration by contrasting cooperation and competition situations. The results uncovered a "black sheep effect", where participants demonstrated a greater propensity for trust restoration with out-group members than with in-group members. This effect, however, was only evident in competitive contexts. Conversely, in cooperative contexts, the individual's trust in the in-group and out-group members is effectively repaired. These findings contribute to a deeper comprehension of trust dynamics in intergroup interactions, promoting trust establishment and repair between diverse groups, thereby boosting team collaboration efficiency and mitigating conflicts.

Uncovering the genetic diversity and adaptability of Butuo Black Sheep through whole-genome re-sequencing.

The Butuo Black Sheep (BBS) is well-known for its ability to thrive at high altitudes, resist diseases, and produce premium-quality meat. Nonetheless, there is insufficient data regarding its genetic diversity and population-specific Single nucleotide polymorphisms (SNPs). This paper centers on the genetic diversity of (BBS). The investigation conducted a whole-genome resequencing of 33 BBS individuals to recognize distinct SNPs exclusive to BBS. The inquiry utilized bioinformatic analysis to identify and explain SNPs and pinpoint crucial mutation sites. The findings reveal that reproductive-related genes (GHR, FSHR, PGR, BMPR1B, FST, ESR1), lipid-related genes (PPARGC1A, STAT6, DGAT1, ACACA, LPL), and protein-related genes (CSN2, LALBA, CSN1S1, CSN1S2) were identified as hub genes. Functional enrichment analysis showed that genes associated with reproduction, immunity, inflammation, hypoxia, PI3K-Akt, and AMPK signaling pathways were present. This research suggests that the unique ability of BBS to adapt to low oxygen levels in the plateau environment may be owing to mutations in a variety of genes. This study provides valuable insights into the genetic makeup of BBS and its potential implications for breeding and conservation efforts. The genes and SPNs identified in this study could serve as molecular markers for BBS.

Exploring athletes’ gendered views of coaches and their impact of coach competency ratings

This study draws on social role theory, role congruity theory, and the black sheep effect to explore athletes’ gendered perceptions of coach competence. The study relied on a sample of 308 New Zealand athletes across sports levels and modalities who completed an online survey. Participants were randomly assigned to one of four vignettes, in which coach gender (female vs. male) and coaching style (communal vs. agentic) were manipulated, and athlete gender was considered. The results show that male and female coaches did not receive significantly different coach competency scores (relational and strategic competencies), that a communal coaching style was linked to higher ratings in both relational and strategic competencies, and that the interplay of athlete gender, coach gender, and gender conforming/non-conforming coaching style did not significantly affect coach competence scores. However, participants’ comments to the open-ended question presented at the end of the survey suggest that athletes still hold gendered views of coaching competence at the elite level. We discuss the research and practical implications of our findings.

Black Sheep as Tragic Hero: How Disruptive Students Resist the Oppression and Why They Fail to Liberate?

Within the educational landscapes, there exists a prevailing dichotomy. On one side stand the obedient students, absorbing knowledge from their teachers unconditionally, and on the other side stand their non-compliant counterparts who are prone to disrupt the prescribed order, labeled as the black sheep of the academic flock. In education, obedience and conformity are celebrated, while noncompliance is stigmatized. Researchers often focus on strategies to control disruptive behavior, perpetuating teacher-centered approaches that maintain power imbalances. However, disruptive behavior is not just defiance. It's a response to an oppressive educational paradigm. This study delves into the narrative of these disruptive students, exploring their resistance to an educational system with intrinsic oppressive nature and the obstacles they encounter in their pursuit of liberation. The theoretical framework of this study is mainly constructed upon Freires critical pedagogy theory and literature on power dynamics to examine power dynamics in education settings and to understand students resistant behavior and why it fails to provoke change.

Comprehensive analysis of lncRNAs modified by m6A methylation in sheep skin.

N6-methyladenosine (m6A) is the most prevalent methylation of mRNA and plays crucial roles in various physiological processes, including pigmentation. Yet, the regulatory mechanisms, including long noncoding RNAs (lncRNAs) m6A methylation contributing to pigmentation in sheep skin remains unclear. The purpose of this study was to identify potential lncRNAs and the m6A methylation of lncRNAs associated with pigmentation. RNA-seq and MeRIP-seq were performed to study the expression of lncRNAs and the m6A methylation of lncRNAs in black and white sheep skin. Furthermore, quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the consistency with the RNA-seq and MeRIP-seq data. We identified 168 differentially expressed lncRNAs between the two sheep skin colors. The differentially expressed lncRNAs enriched in the pathway of ECM-receptor interaction, Rap1 signaling pathway, and Non-homologous end-joining may play essential roles in pigmentation. We identified 577 m6A peaks and 617 m6A peaks in black and white sheep skin, respectively, among which 20 m6A peaks showed significant differences. The enriched motif in sheep skin was "GGACU", which aligned with the consensus motif "RRACH" (R = A or G, H = A, C or U). Differently methylated lncRNAs enriched in PI3K-Akt signaling pathway and Wnt signaling pathway might participate in skin pigmentation. ENSOARG00020015168 was the unique lncRNA with high expression and methylation (Hyper-Up) in black sheep shin. A lncRNA-mRNA network was constructed, with pigmentation-related genes, such as PSEN2, CCND3, COL2A1, and ERCC3. The m6A modifications of lncRNAs in black and white colored sheep skin were analyzed comprehensively, providing new candidates for the regulation of pigmentation.

Skin proteomic screening and functional analysis of differential proteins associated with coat color in sheep (Ovis aries).

Coat color is an important characteristic and economic trait in domestic sheep. In this study, we explored the potential mechanisms and the signaling pathways involved in coat color regulation for sheep. Isobaric tags for relative and absolute quantification (iTRAQ) technology was used to catalog global protein expression profiles in skin of sheep with black versus white coat color. Immunofluorescence was used to observe the expression localization of differential protein. Western blot and quantitative real time polymerase chain reaction (qRT-PCR) were used to evaluate their role in the coat color formation of sheep. A total of 136 differential proteins were obtained in different coat colors, including 101 up-regulated and 35 down-regulated. Pigmentation function entries were enriched through gene ontology annotation. Tyrosine metabolism and platelet activation signaling pathway were extracted by Kyoto encyclopedia of genes and genomes analysis. Apolipoprotein A-1 (APOA1) and fibrinogen alpha chain (FGA) were found to be critical differential proteins by the interaction of differential proteins in the direct-interaction network diagram. Strikingly, twenty candidate differential proteins were screened, from which beta-actin (ACTB) protein showed higher expression in white sheep skin, while albumin (ALB), APOA1, MAOA (amine oxidase) and FGA proteins showed higher expression in black sheep skin, which was validated by immunofluorescence, western blot, and qRT-PCR. This study identified several novel proteins that may be involved in the coat color formation of sheep. The white and black sheep skin proteome profiles obtained provide a valuable resource for future research to understand the network of protein expression controlling skin physiology and melanogenesis in sheep.

Polymorphisms of the HRG, FETUB, and GUCY1A1 genes and their association with litter size in sheep

Abstract. Litter size is one of the key factors affecting the efficiency of sheep breeding, and previous studies found that the HRG, FETUB, and GUCY1A1 genes were closely related to litter size in sheep. This experiment aims to explore the polymorphisms of the g.405442728A>G locus of the HRG gene, the g.421655951C>T locus of the FETUB gene, and the g.414050897G>C locus of the GUCY1A1 gene and their association with sheep litter size. The MassARRAY® single-nucleotide polymorphism (SNP) genotyping technique was used to detect the polymorphisms of these loci in five sheep breeds, i.e., Small-tailed Han sheep, Hu sheep, Cele black sheep, Sunite sheep, and Bamei mutton sheep. In addition, the association between the polymorphisms of these genes and the litter size of Small-tailed Han sheep was also analyzed. The results showed that the g.405442728A>G locus of the HRG gene was moderately polymorphic (0.25 < PIC <0.5) in both monotocous and polytocous sheep breeds; the g.421655951C>T locus of the FETUB gene was lowly polymorphic (PIC <0.25) in five sheep breeds; the g.414050897G>C locus of GUCY1A1 showed moderately polymorphism in Small-tailed Han sheep (0.25 ≤ PIC <0.5) and low polymorphism in four other sheep breeds (PIC <0.25). The chi-squared test results showed that the g.405442728A>G locus of the HRG gene was in the Hardy–Weinberg equilibrium state in five sheep breeds (P>0.05). The g.421655951 C>T locus of the FETUB gene and the g.414050897G>C locus of the GUCY1A1 gene were in the Hardy–Weinberg equilibrium state in Small-tailed Han sheep (P>0.05) and in the Hardy–Weinberg disequilibrium state in other sheep breeds (P<0.05). The association analysis showed that the g.405442728A>G locus of the HRG gene and the g.421655951C>T locus of the FETUB gene had a significant impact on the litter size of sheep (P<0.05), while the g.414050897G>C locus of the GUCY1A1 gene had no significant impact on the litter size (P>0.05). In summary, the HRG gene and the FETUB gene can be used as potential molecular markers for the selection of the litter size in sheep.

Genomic structure analysis and construction of DNA fingerprint for four sheep populations

The Yongdeng Qishan sheep (QS) is a sheep population found locally in China. To gain in-depth knowledge of its population characteristics, three control groups were chosen, comprising the Lanzhou fat-tailed sheep (LFT), TAN sheep (TAN), and Minxian black fur sheep (MBF), inhabiting the nearby environments. This study genotyped a total of 120 individuals from four sheep populations: QS, LFT, TAN, and MBF. Using Specific-Locus Amplified Fragment Sequencing, we conducted genetic diversity, population structure, and selective sweep analysis, and constructed the fingerprint of each population. In total, there were 782 535 single nucleotide polymorphism (SNP) variations identified, with most being situated within regions that are intergenic or intronic. The genetic diversity analysis revealed that the QS population exhibited lower genetic diversity compared to the other three populations. Consistent results were obtained from the principal component, phylogenetic tree, and population structure analysis, indicating significant genetic differences between QS and the other three populations. However, a certain degree of differentiation was observed within the QS population. The linkage disequilibrium (LD) patterns among the four populations showed clear distinctions, with the QS group demonstrating the most rapid LD decline. Kinship analysis supported the findings of population structure, dividing the 90 QS individuals into two subgroups consisting of 23 and 67 individuals. Selective sweep analysis identified a range of genes associated with reproduction, immunity, and adaptation to high-altitude hypoxia. These genes hold potential as candidate genes for marker-assisted selection breeding. Additionally, a total of 86 523 runs of homozygosity (ROHs) were detected, showing non-uniform distribution across chromosomes, with chromosome 1 having the highest coverage percentage and chromosome 26 the lowest. In the high-frequency ROH islands, 79 candidate genes were associated with biological processes such as reproduction and fat digestion and absorption. Furthermore, a DNA fingerprint was constructed for the four populations using 349 highly polymorphic SNPs. In summary, our research delves into the genetic diversity and population structure of QS population. The construction of DNA fingerprint profiles for each population can provide valuable references for the identification of sheep breeds both domestically and internationally.

Differential Evaluation of Straight and Gay Men for Nonverbal Effeminate Behavior.

The purpose of this study was to determine how violation of gender-based expectancies might influence straight men's attitudes toward men who differ by sexual orientation (i.e., straight or gay). This study was specifically designed to avoid methodological issues that may have been present in similar research. Hypotheses were informed by Expectancy-Violation Theory (EVT) and the Black Sheep Effect (BSE), which together suggest that an effeminate straight man should be evaluated by other straight men more negatively than an effeminate gay man because the former target negatively violated expectations. Additionally, EVT suggests that a masculine gay man should be evaluated more positively than a masculine straight man because the former positively violates expectations, while the BSE instead suggests the latter should be evaluated more positively than the former due to ingroup bias. Self-identified straight men evaluated a male target whose sexual orientation and gender conformity were manipulated through a photo and vignette. A moderated mediation analysis was performed to determine if perceived expectancy violation mediated the relationship between sexual orientation and evaluations for both effeminate and masculine men. Straight effeminate targets were evaluated more negatively than gay effeminate targets; however, straight masculine targets were evaluated more favorably than gay masculine targets, a finding more consistent with the BSE. In addition, perceived expectancy violation did not mediate the relationship between sexual orientation and evaluations regardless of gender expression. More research should be conducted to identify the mechanisms through which evaluations of straight and gay targets differ based on gender expression.

Inheritance of breeding traits in Karakul sheep under different selection approaches.

In the previous century, each intrabreed type of the Karakul sheep breed was characterized by significant numbers, representing a super population with rich genetic diversity. However, over time, the genetic diversity within the breed's gene pool has undergone significant depletion. At present, the Karakul breed is predominantly composed of only two small populations, distinguished by their fur colors: black and gray. Consequently, under such circumstances, genetic advancements in breeding endeavors are likely to be relatively limited, especially given the potential risk of these populations disappearing altogether in the future. Hence, the preservation and judicious utilization of the available genetic resources within the black and gray Karakul sheep populations hold paramount importance in breeding efforts. The primary objective of our research was to investigate the heritability of breeding traits among gray lambs through various selection options. The study was conducted at the "Kumkent" base farm in the Sozak district of the Kyzylorda region. Our findings revealed that the inheritance of gray and black fur colors across the different selection options occurred in a consistent ratio. In the first selection variant (a gray ram with even silver marking ♂ x a black jacket fur type ewe with intense pigmentation ♀), the proportion of gray offspring was 50.6%. Similarly, in the second selection variant (a black jacket fur type ram with intense pigmentation ♂ x a gray ewe with even silver marking ♀), the proportion of gray offspring was 49.6%. The percentage of black lambs obtained in both selection options was nearly equivalent, with 49.4% and 50.4% in the first and second variants, respectively.

BaCuTP2 (T = Al, Ga, In): a semiconducting black sheep in the ThCr2Si2 intermetallic family

Semiconducting pnictides with a ThCr2Si2 type structure were realized via mixing Cu and group 13 elements (Al, Ga, and In) in the metal site.

Do sheep of different coat colors kept in an equatorial semi-arid environment use solar orientation behavior for thermoregulation?

Shade-seeking behavior and body posture adjustments are key thermoregulatory strategies used by free-ranging animals to minimize heat absorption. We observed these behaviors in grazing sheep, analyzing their orientation relative to solar radiation. Over seven days, we monitored six predominantly black and six white crossbred lambs. We found that shade-seeking behavior was less frequent on cloudy days (p < 0.05), with sheep spending more time grazing. Neither the black or the white sheep altered their body orientation to minimize heat absorption, regardless of sunny or rainy conditions. In conclusion, this preliminary investigation showed that body axis orientation seems not to be employed by black and white hair coat sheep as thermoregulatory strategy when exposed to solar radiation in an equatorial semi-arid environment.

Locating the Politicoethical Positions in the Scrutiny of the Indian Capitalist Order Via the Realm of the Black Sheep

Locating the Politicoethical Positions in the Scrutiny of the Indian Capitalist Order Via the Realm of the Black Sheep

Who did it? Moral wrongness for us and them in the UK, US, and Brazil

ABSTRACT Morality has traditionally been described in terms of an impartial and objective “moral law”, and moral psychological research has largely followed in this vein, focusing on abstract moral judgments. But might our moral judgments be shaped not just by what the action is, but who is doing it? We looked at ratings of moral wrongness, manipulating whether the person doing the action was a friend, a refugee, or a stranger. We looked at these ratings across various moral foundations, and conducted the study in Brazil, US, and UK samples. Our most robust and consistent findings are that purity violations were judged more harshly when committed by ingroup members and less harshly when committed by the refugees in comparison to the unspecified agents, the difference between refugee and unspecified agents decays from liberals to conservatives, i.e., conservatives judge them more harshly than liberals do, and Brazilians participants are harsher than the US and UK participants. Our results suggest that purity violations are judged differently according to who committed them and according to the political ideology of the judges. We discuss the findings in light of various theories of groups dynamics, such as moral hypocrisy, moral disengagement, and the black sheep effect.