Diverse Facets Research Articles

The immediate effect of discrimination on mental health: A meta-analytic review of the causal evidence.

This meta-analysis synthesizes experimental studies on the immediate effects of discrimination on mental health, exploring the effects of different paradigms and discrimination types on diverse facets of mental health. We analyzed data from a systematic literature search (73 studies; 12,097 participants; 245 effect sizes) for randomized controlled trials with manipulation of discrimination as a predictor and mental health as an outcome using a three-level random-effects model. Experimentally manipulated discrimination led to poorer mental health (g = -0.30), also after controlling for publication year, region, education level, and methodological quality. Moderator analyses revealed stronger effects for pervasive (g = -0.55) compared to single-event manipulations (g = -0.25) and a trend toward weaker effects for samples with nonmarginalized (g = -0.16) compared to marginalized identities (g = -0.34). Gender and age did not moderate the effect. Discrimination had the largest effects on externalizing (g = -0.66) and distress-related outcomes (g = -0.41); heterosexism (g = -0.66), racism (g = -0.32), and sexism (g = -0.30) had the largest effects on mental health. Convenience sampling compromised generalizability to subgroups and the general population, downgrading methodological quality for all included studies. When interpreting the findings, selective samples (mostly young female adults with higher education), often limited ecological validity, and ethical restrictions of lab-induced discrimination need to be considered. These constraints likely led to conservative estimates of the mental health effects of discrimination in this meta-analysis. Future research should investigate more diverse samples, further explain the heterogeneity of findings, and explore protective factors of the effects of discrimination on mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Ayurvedic Herbal Medicines: A Literature Review of Their Applications in Female Reproductive Health.

Ayurveda, an ancient holistic and personalized healing system originating from the Indian subcontinent, has been gaining increasing attention as a complementary and alternative medical practice for treating various health conditions, including those related to women's reproductive well-being. This comprehensive literature review examines a wide array of experimental and clinical studies exploring the diverse facets of Ayurvedic interventions in addressing issues such as menstrual irregularities, polycystic ovary syndrome (PCOS), infertility, and menopausal symptoms. The paper specifically focuses on discussing the available data regarding the efficacy of Tulsi (Ocimum tenuiflorum), ashwagandha (Withania somnifera), ginger (Zingiber officinale), cardamom (Elettaria cardamomum), turmeric (Curcuma longa), and Shatavari (Asparagus racemosus), which have traditionally been used in Ayurvedic medicine for centuries. The synthesis of literature not only highlights the potential benefits of these Ayurvedic interventions, but also critically assesses the methodological rigor of existing studies, identifying research gaps, and proposing directions for future investigations. While acknowledging the need for further rigorous research and clinical trials, the review emphasizes the benefits of collaborative and integrative healthcare. This review aims to serve as a valuable resource for healthcare practitioners, researchers, and individuals seeking holistic and natural alternatives for female reproductive health management.

A path to success: educational board diversity and its influence on MENA banks’ efficiency and stability

PurposeThis paper aims to examine how the diversity of educational levels within bank boards influences the efficiency and stability of banks operating in the Middle East and North Africa (MENA) region. Unlike previous studies, this analysis also investigates the role of board gender diversity in moderating the relationship between board educational level diversity and bank efficiency and financial stability in MENA.Design/methodology/approachIn this study, a sample of 77 banks in the MENA region spanning the years 2011 to 2018 is used. The relationship between the presence of highly educated directors on the board, bank efficiency and stability is assessed using the ordinary least squares method. Additionally, the authors use the Generalized Method of Moments technique to correct endogeneity problem.FindingsThis study establishes a positive association between the presence of directors with advanced educational backgrounds on bank boards and bank efficiency and stability. Furthermore, the inclusion of women on the board strengthens this relationship.Practical implicationsThese findings have important implications for policymakers and regulators in the MENA region, suggesting that promoting diversity policies that encourage the participation of highly educated directors on bank boards can contribute to enhanced efficiency and financial stability. Policymakers may also consider implementing quotas or guidelines to improve gender diversity in board appointments, thereby fostering bank performance in the region.Originality/valueThis study stands out for its innovation and distinctiveness, as it delves into the connection between board educational level diversity and bank efficiency in the MENA region. Notably, it surpasses previous research by investigating the moderating role of board gender diversity, thus offering valuable insights into the complex interplay between these two facets of board diversity. This contribution enriches the existing literature by providing novel perspectives on board composition dynamics and its influence on bank efficiency and stability.

Uncovering PPAR-γ agonists: An integrated computational approach driven by machine learning

Peroxisome proliferator-activated receptor gamma (PPAR-γ) serves as a nuclear receptor with a pivotal function in governing diverse facets of metabolic processes. In diabetes, the prime physiological role of PPAR-γ is to enhance insulin sensitivity and regulate glucose metabolism. Although PPAR-γ agonists such as Thiazolidinediones are effective in addressing diabetes complications, it is vital to be mindful that they are associated with substantial side effects that could potentially give rise to health challenges. The recent surge in the discovery of selective modulators of PPAR-γ inspired us to formulate an integrated computational strategy by leveraging the promising capabilities of both machine learning and in silico drug design approaches. In pursuit of our objectives, the initial stage of our work involved constructing an advanced machine learning classification model, which was trained utilizing chemical information and physicochemical descriptors obtained from known PPAR-γ modulators. The subsequent application of machine learning-based virtual screening, using a library of 31,750 compounds, allowed us to identify 68 compounds having suitable characteristics for further investigation. A total of four compounds were identified and the most favorable configurations were complemented with docking scores ranging from −8.0 to −9.1 kcal/mol. Additionally, the compounds engaged in hydrogen bond interactions with essential conserved residues including His323, Leu330, Phe363, His449 and Tyr473 that describe the ligand binding site. The stability indices investigated herein for instance root-mean-square fluctuations in the backbone atoms indicated higher mobility in the region of orthosteric site in the presence of agonist with the deviation peaks in the range of 0.07–0.69 nm, signifying moderate conformational changes. The deviations at global level revealed that the average values lie in the range of 0.25–0.32 nm. In conclusion, our identified hits particularly, CHEMBL-3185642 and CHEMBL-3554847 presented outstanding results and highlighted the stable conformation within the orthosteric site of PPAR-γ to positively modulate the activity.

Diversity of an Odonata assemblage from a tropical dry forest in San Buenaventura, Jalisco, Mexico (Insecta, Odonata).

The patterns of richness, diversity, and abundance of an odonate assemblage from San Buenaventura, Jalisco are presented here. A total of 1087 specimens from seven families, 35 genera and 66 species were obtained through monthly samplings of five days each during a period of one year. Libellulidae was the most diverse family (28 species), followed by Coenagrionidae (21), Gomphidae (7), Aeshnidae (6), Calopterygidae (2), Lestidae (1) and Platystictidae (1). Argia was the most speciose genus. The highest species richness and Shannon diversity were found during August and September, whereas the highest abundance was observed in June and the highest Simpson diversity was recorded in September - all of which were associated with the rainy season. The highest values of phylogenetic diversity were found from June to October. The different diversity facets of this assemblage were positively correlated with precipitation and minimum temperature, whereas maximum temperature showed no influence. In addition, we found that this odonate diversity was higher than most Mexican localities with tropical dry forest (TDF) studied. We continue our efforts to describe the patterns of richness, diversity and abundance of some insect groups associated with the tropical dry forest ecosystem in Mexico, following a latitudinal gradient of the distribution of this ecosystem in the country. Our emphasis here was to evaluate the spatial and temporal patterns of richness and diversity of an Odonata assemblage from Jalisco, Mexico.

University Students’ Conceptualisation of AI Literacy: Theory and Empirical Evidence

This research endeavours to systematically investigate the multifaceted domain of AI literacy, given the pervasive impact of artificial intelligence on diverse facets of contemporary human existence. The inquiry is motivated by a fundamental question posed to educators: how best to cultivate AI literacies and competencies and how these proficiencies are structured and influenced. Employing a rigorous two-part methodology, the initial phase scrutinises 28 studies from the SCOPUS database, unveiling five distinct discourses germane to AI literacy. Subsequently, the second phase involves the administration of questionnaires to 73 students, whose responses undergo thematic analysis to discern patterns within the four domains delineated by Ng et al. The ensuing discourse underscores a pivotal revelation: despite formal adherence to established discourses, the conceptualisation of AI literacy necessitates a departure from conventional perspectives. Ethical principles, elucidated by students, emerge not merely as individual components but as integral facets of a broader societal literacy profile, thereby advocating a paradigm shift towards social reflection. This novel insight prompts a critical re-evaluation of AI literacy’s prevailing assumptions and conceptual frameworks, urging a transition towards models grounded in ecological or network dynamic interactionist principles.

Responses of multi-faceted benthic macroinvertebrates alpha and beta diversity to flooding in a highland floodplain

Flooding is an important process in natural fluvial floodplains. How the flood shapes aquatic community diversity in highland floodplains is still poorly understood. The aim of this study was to unravel the multi-faceted responses of benthic macroinvertebrate diversity to flooding and habitat environments in the Baihe River Basin from a taxonomic, phylogenetic, and functional perspective. We examined the alpha and beta diversity patterns of benthic macroinvertebrate communities in the mainstream, tributaries, and oxbow lakes during the normal water and flood periods. The results showed that the traditional alpha taxonomic diversity (TD) varied across habitats, despite minor changes after flood pulse. Alpha phylogenetic diversity (PD) decreased and alpha functional diversity (FD) markedly increased after flooding, with functional traits transiting toward risk avoidance. While all the three facets of beta diversity significantly responded to habitat differences, beta TD and PD shifted in response to flooding. Species turnover prominently increased in beta TD and PD after flood pulse, which contrasted with a weaker response of this process in FD. The explanatory power of significant environmental factors on both alpha and beta diversity was reduced by flooding. Compared with traditional TD, cooperating multi-faceted diversity could better depict the responses of benthic macroinvertebrate communities to flooding. The assessment and conservation of aquatic biodiversity in highland floodplains should take into account the three facets of alpha and beta diversity.

Addressing Hydrogen Sulfide Corrosion in Oil and Gas Industries: A Sustainable Perspective

In the oil and gas industry, the corrosion attributed to hydrogen sulfide (H2S) is one of the most significant challenges. This review paper systematically investigates the diverse facets of H2S corrosion, including its sources, corrosion locations, mechanisms, and resultant corrosion products. Understanding different forms of H2S corrosion, such as stress-oriented hydrogen-induced cracking (SO-HIC), sulfide stress cracking (SSC), and hydrogen-induced cracking (HIC), provides a thorough comprehension of these phenomena. The paper discusses critical factors influencing H2S corrosion, such as temperature, flow rate, pH, and H2S concentration, highlighting their implications for sustainable practices in the oil and gas sector. The review emphasizes the significance of monitoring and mitigation strategies, covering continuous monitoring, applying corrosion inhibitors, selecting materials, and conducting thorough data analysis and reporting. Furthermore, the role of training in fostering a sustainable approach to H2S corrosion management is highlighted. This exploration advances the overarching goal of sustainable development in the oil and gas industries by providing insights into understanding, monitoring, and mitigating H2S corrosion. The findings presented here offer a foundation for developing environmentally conscious strategies and practices to guarantee the long-term viability and flexibility of refinery operations.

Elevational patterns of fish functional and phylogenetic community structure in a monsoon climate river basin

AbstractAimUnderstanding the patterns and drivers of biodiversity across space and time is commonly based on species diversity, which may ignore species' functional role and evolutionary history and result in an incomplete understanding of community assembly. It is suggested that integrating species, functional, and phylogenetic diversity could provide a more holistic assessment of community assembly in natural ecosystems. This study aimed to explore the elevational patterns and environmental drivers of multiple facets of fish diversity and community structure in a subtropical river during the wet and dry seasons.LocationThe Chishui River basin, China.MethodsWe investigated the responses of fish species richness, functional richness, and phylogenetic diversity to elevation in different seasons. Moreover, we compared functional dispersion and mean pairwise distance with those obtained from null models to infer assembly mechanisms shaping community structure. Additionally, we examined the environmental drivers (e.g. water chemistry, temperature, and river size) of fish diversity and community structure.ResultsFish species richness, functional richness, and phylogenetic diversity showed a negative relationship with elevation in the Chishui River basin. Fish communities tended to be on average functionally random but phylogenetically clustered. Furthermore, phylogenetic structure exhibited a decreasing pattern along the elevational gradient. Despite no significant seasonal changes for fish diversity (except for phylogenetic diversity), fish communities became more phylogenetically overdispersed and clustered at low and high elevations in the dry season. Additionally, the responses of fish diversity and community structure to environmental variables were not synchronous.ConclusionsAt the basin scale, environmental filtering was prevalent in shaping fish phylogenetic structure, whereas stochasticity was likely more important for functional structure. Moreover, the ecological mechanisms shaping individual fish communities switched from limiting similarity to environmental filtering as elevation increased, and the underlying forces at two ends of the elevational gradient became more prominent in the dry season.

Technology-Driven Innovation in Cultural Heritage: A Museum Experience Perspective

This study explores the evolving impact of technology on cultural heritage encounters, specifically within museum settings. It introduces a comprehensive conceptual framework that encompasses various aspects of the museum experience influenced by technology and assesses its effects on visitor satisfaction and loyalty intentions. Through an empirical investigation involving 300 individuals visiting archaeological sites in Rome (Italy), including both permanent and temporary exhibitions with varying levels of technological integration, this research employs a self-administered questionnaire to validate its hypotheses. The results underscore the significance of technology in shaping diverse facets of the visitor experience, such as education-entertainment fusion, engagement, and ambience, with substantial implications for enhancing customer satisfaction and fostering visitor loyalty. This research adopts a mixed-methods approach to investigate the evolving role of technology in cultural heritage encounters within museums. In a first phase, a comprehensive conceptual model that captures various dimensions of the museum experience influenced by technology was designed. Subsequently, data was collected from a purposive sample of 300 individuals visiting archaeological sites in Rome, encompassing both permanent and temporary exhibitions. This sample is intentionally diverse in terms of technology integration, allowing for a nuanced analysis. Data is gathered through the administration of a self-administered questionnaire designed to empirically test the hypotheses formulated in the conceptual model. Statistical analyses, including regression analysis and structural equation modeling, are employed to assess the impact of technology on visitor satisfaction and loyalty intentions. This research contributes to the field by introducing a comprehensive conceptual framework that holistically examines the multifaceted influence of technology on the museum experience, including dimensions such as edutainment, engagement, and ambience. Furthermore, it provides empirical evidence of these effects through a diverse sample of museum visitors. This study offers valuable insights into the evolving role of technology in cultural heritage contexts, filling a gap in the existing literature and providing actionable guidance for cultural institutions seeking to enhance visitor engagement and loyalty. The findings of this research hold practical significance for cultural institutions, particularly museums, aiming to leverage technology to enrich visitor experiences. By understanding how technology influences dimensions such as edutainment, engagement, and ambience, museums can strategically integrate technology to enhance customer satisfaction and foster visitor loyalty. This research encourages museums to adopt innovative technological solutions that cater to diverse visitor preferences, ultimately ensuring a more immersive and satisfying cultural heritage encounter.

The application of operation research in the quality management engineering

The integration of Operations Research (OR) principles into Quality Management Engineering constitutes a powerful strategy for enhancing product and service quality throughout the entire lifecycle. This synergistic relationship unfolds within the context of OR, a discipline rooted in mathematical models, analytical methods, and decision-making tools, originally developed during World War II. Quality Management Engineering, built upon principles like Total Quality Management (TQM) and Six Sigma methodologies, systematically combines engineering principles with quality management techniques to ensure consistent high-quality outcomes. This interdisciplinary approach proves particularly critical in industries emphasizing precision, reliability, and efficiency. The application of OR in Quality Management Engineering encompasses diverse facets, including process optimization, supply chain management, quality control, root cause analysis, resource allocation, and risk management. This integration leverages mathematical modelling, statistical analysis, and optimization techniques to systematically improve and sustain product and process quality. Emphasizing continuous improvement, the collaboration integrates Lean principles, waste reduction strategies, and a commitment to ongoing assessment. The partnership between OR and Quality Management Engineering remains adaptable to changing business landscapes, addressing human factors, environmental considerations, and the era of data-driven decision-making. This abstract highlights the evolution of OR and its contribution to creating a structured, data-driven, and analytical approach to decision-making in quality management. Ultimately, this integration shapes efficient, resilient, and quality-focused organizations, positioning them for success and competitiveness in dynamic industries.

Drivers of desert plant beta diversity on the Qinghai-Tibet plateau.

The desert ecosystem of the Qinghai-Tibet Plateau (QTP) is an important component of China's desert ecosystem. Studying the mechanisms shaping the taxonomic, phylogenetic, and functional beta diversity of plant communities in the QTP desert will help us to promote scientific conservation and management of the region's biodiversity. This study investigated the effects of environmental (including altitude, climate factors, and soil factors) and geographic distances on three facets of beta diversity as well as their turnover and nestedness components based on field survey data. The results showed that turnover components dominate the three facets of beta diversity. However, the turnover contributions to phylogenetic and functional beta diversity were lower than for taxonomic beta diversity. Environmental distance had a greater influence than geographic distance, with the former uniquely explaining 15.2%-22.8% of beta diversity and the latter explaining only 1.7%-2.4%. Additionally, the explanatory power of different factors for beta diversity differed between herbs and shrubs, with environmental distance being more important for the latter. Distance-based redundancy analysis suggested that soil total potassium content had a substantial impact on the beta diversity of three dimensions, with mean temperature of the coldest month and soil total phosphorus content having a substantial impact on taxonomic and functional beta diversity as well. Our results support that environmental sorting plays a predominant role in shaping plant community composition across QTP desert ecosystems. To maintain the plant diversity of this region, it is crucial to prioritize the conservation of its diverse environmental conditions and actively mitigate its degradation by anthropogenic pressures.

Emerging Food Processing and Preservation Approaches for Nutrition and Health

This comprehensive review critically evaluates contemporary and emergent food processing and preservation technologies with a primary focus on enhancing nutrition and promoting health. The discourse delves into a spectrum of innovative methodologies, encompassing high pressure processing, pulsed electric field processing, oscillating magnetic field processing, nonthermal plasma, ultrasound processing, and avant-garde thermal technologies. A detailed analysis is provided, shedding light on the manifold impacts of these technologies on diverse facets such as food quality, sensory attributes, nutrient preservation, shelf-life augmentation, and the effective inactivation of pathogens. Furthermore, the document accentuates recent applications that exemplify the successful enhancement of nutritional profiles across a gamut of food products. The review not only scrutinizes the advantages but also delineates the challenges associated with the implementation of these cutting-edge technologies. An insightful exploration of potential future opportunities is incorporated, offering a forward-looking perspective on the evolving landscape of food processing and preservation. By expanding the discourse on these pivotal technologies, this review serves as a valuable resource for researchers, practitioners, and stakeholders interested in advancing nutrition and health outcomes through state-of-the-art food processing and preservation approaches.

Environmental filtering and landscape composition drive multifaceted diversity of bird assemblages in vineyards

Abstract Agricultural landscapes are productive areas with high biodiversity potential, but their conversion to monocultures and intensification of practices are recognised drivers of bird biodiversity loss worldwide. This challenges the compatibility of agricultural land use with bird conservation, as landscape composition affects both the diversity of bird species and traits and the assembly of bird communities. We address the underlying mechanisms of avian community assembly in vineyards at the plot and landscape levels in relation to landscape composition in one of the major wine producing regions of France. We jointly analyse how the taxonomic, functional, and phylogenetic facets of bird alpha and beta diversity respond to a gradient of landscape heterogeneity and test for a non‐random assembly rule. We found that birds tended to avoid vineyard monocultures. There was consistent support for the co‐occurrence of both closely related species and similar functional traits within vineyard plots (namely, phylogenetic and functional clustering, respectively). Landscape composition, both within plots and on a large scale (1000 m), was critical in explaining the occurrence of species and traits within plots. Landscape composition determined a nested pattern of functional and phylogenetic beta diversity from vineyard monoculture to more complex landscapes with increasing seminatural land cover. Synthesis and applications. Landscape composition in seminatural vegetation features significantly influenced both the alpha and beta bird diversity in vineyard‐dominated agricultural landscapes. Interspersed shrubs and woodland can help increase bird abundance and species richness in vineyards, while large‐scale land cover diversity might help promote functional and phylogenetic bird diversity.

Functional structure and diversity of marine benthos reflect food availability and quality, as evidenced by isotopic diversity

AbstractOrganic matter (OM) resources shape not only the trophic diversity of benthic communities but also the diversity of benthic functional traits. The resulting community structure has a direct effect on many ecosystem processes and functions. Still, the relationship between functional diversity of marine benthos and its trophic diversity in response to the variability of food remains poorly investigated. To explore this relationship we focused on the assessment of various facets of macrobenthic diversity in two temperate coastal areas (southern Baltic Sea) characterized by similar species pool and habitat properties but different OM sources and supplies. We also identified spatio‐temporal patterns of functional structure and assessed, which OM properties had the strongest influence on benthic communities. In our study, functional space dispersion followed isotopic space dispersion, reflecting the positive relationship between food variability and ecological functions of benthic communities. Moreover, functional structure in shallow areas was more location‐specific in comparison to deeper areas, and this was significantly related to OM parameters. Higher OM variability close to the river mouth prevented the community from becoming dominated by one specialized species, whereas limited OM supply at shallow open coast lowered the diversity by enabling stronger competitor to dominate the community. In more offshore areas, local OM variability ceased and hence, communities tended to reflect similar trophic and functional patterns. Our study demonstrates that functional and isotopic diversity approaches can be effectively combined to better understand mechanisms driving benthic community structure and confirm that greater variability in OM supply increases diversity of benthic communities.

Small-bodied mammal diversity facets vary discretely across an understudied ecotone in the western Amazon-Cerrado

Small-bodied mammal diversity facets vary discretely across an understudied ecotone in the western Amazon-Cerrado

Incentivized adoption of smart tourism services: Host community perspective

<p>In developing nations, the success of development programs hinges on addressing stakeholder concerns. The growing popularity of smart tourism initiatives strengthens tourism infrastructure and elevates visitor experiences. Central to this development is the imperative to engage and secure the support of host communities in embracing smart tourism services. Recently, the momentum of incentivized adoption within smart tourism services has become pronounced among host communities. This research delves into the nuanced processes and outcomes of incentive adoption, shedding light on associated challenges. The study was conducted through interviews with host communities in smart cities; the study unveils that incentivized adoption spans diverse operational facets, encompassing digitalization of business, smart infrastructure development, training programs, the establishment of smart tourism centers, community-driven platforms, e-culture transition, and forward/backward linkages. The positive outcomes resulting from incentivized adoption include economic empowerment, community outreach, improved tourism infrastructure, and the enhancement of technical skills. However, challenges persist, ranging from e-safety concerns and e-literacy issues to resource constraints, cultural sensitivities, resistance to change, infrastructural gaps, and limited local involvement. This research contributes to the field by comprehensively understanding the multifaceted dynamics surrounding incentivized adoption in smart tourism, offering valuable insights for policymakers, practitioners, and researchers alike.</p>

CGRP Antagonism and Ketogenic Diet in the Treatment of Migraine.

The study of migraine is based on the complexity of the pathology, both at the pathophysiological and epidemiological levels. Although it affects more than a billion people worldwide, it is often underestimated and underreported by patients. Migraine must not be confused with a simple headache; it is a serious and disabling disease that causes considerable limitations in the daily life of afflicted people, including social, work, and emotional effects. Therefore, it causes a daily state of suffering and discomfort. It is important to point out that this pathology not only has a decisive impact on the quality of life of those who suffer from it but also on their families and, more generally, on society as a whole. The clinical picture of migraine is complex, with debilitating unilateral or bilateral head pain, and is often associated with characteristic symptoms such as nausea, vomiting, photophobia, and phonophobia. Hormonal, environmental, psychological, dietary, or other factors can trigger it. The present review focuses on the analysis of the physiopathological and pharmacological aspects of migraine, up to the correct dietary approach, with specific nutritional interventions aimed at modulating the symptoms. Based on the symptoms that the patient experiences, targeted and specific therapy is chosen to reduce the frequency and severity of migraine attacks. Specifically, the role of calcitonin gene-related peptide (CGRP) in the pathogenesis of migraine is analyzed, along with the drugs that effectively target the corresponding receptor. Particularly, CGRP receptor antagonists (gepants) are very effective drugs in the treatment of migraine, given their high diffusion in the brain. Moreover, following a ketogenic diet for only one or two months has been demonstrated to reduce migraine attacks. In this review, we highlight the diverse facets of migraine, from its physiopathological and pharmacological aspects to prevention and therapy.

Pan-Omics in Sheep: Unveiling Genetic Landscapes.

Multi-omics-integrated analysis, known as panomics, represents an advanced methodology that harnesses various high-throughput technologies encompassing genomics, epigenomics, transcriptomics, proteomics, and metabolomics. Sheep, playing a pivotal role in agricultural sectors due to their substantial economic importance, have witnessed remarkable advancements in genetic breeding through the amalgamation of multiomics analyses, particularly with the evolution of high-throughput technologies. This integrative approach has established a robust theoretical foundation, enabling a deeper understanding of sheep genetics and fostering improvements in breeding strategies. The comprehensive insights obtained through this approach shed light on diverse facets of sheep development, including growth, reproduction, disease resistance, and the quality of livestock products. This review primarily focuses on the application of principal omics analysis technologies in sheep, emphasizing correlation studies between multiomics data and specific traits such as meat quality, wool characteristics, and reproductive features. Additionally, this paper anticipates forthcoming trends and potential developments in this field.

Effects of hydrological and spatial seasonality on taxonomic and functional diversity of fish assemblages in an Amazonian floodplain lake

AbstractThe floodplain lakes of the Amazon constitute one of the most important aquatic systems in terms of fish biodiversity. These ecosystems are influenced by the flood pulse, which in turn, affects the behaviour of fish communities within this lake ecosystem. In this study, we tested the hypothesis that the facets of taxonomic and functional diversity may be influenced by the conditions of ‘patches’ of internal habitats, considering the margins and central environments of a floodplain lake in the Amazon. Lake Cujubim, located on the right bank of the Madeira River, was evaluated via fisheries carried out in the high‐water and low‐water phases, during the day and night, and considering two location strata. The results suggest that the absence of significant differences in alpha taxonomic diversity between the two phases may be a possible seasonal mischaracterisation in Lake Cujubim attributed mainly to dam constructions along the Madeira River. Apparently, no major differences occur in the assembly of fish in terms of their taxonomic and functional characteristics, regardless of luminosity. In the strata of the locations, demonstrates noticeable habitat patches, with the margins being bioregions with high incidences of individuals of the Engraulidae family, confirmed by both taxonomic and functional diversity (alpha and beta). It can be seen that, even in connected lakes, there are differentiated metacommunities between the bioregions, thus forming patches of habitat, and that the shores of the lake, especially those located in proximity or distant from the river, are more suitable areas for food and refuge.