Buscar recursos académicos

Abstract Tuberculosis (TB) has high morbidity and mortality rates, and drug-resistant strains pose an increasing challenge. Traditional methods for detecting the Mycobacterium tuberculosis complex (MTBC) are insufficient...

Abstract We investigate the cosmological implications of an extended gravitational framework based on biconnection gravity, constructed from the Schr $$\ddot{\textrm{o}}$$ o ¨ dinger connection and its dual. In this app...

This study aimed to assess the levels and key determinants of digital literacy skills among Eri silk farmers in Ri Bhoi District of Meghalaya. Purposive sampling was used to select three villages known for high concentra...

Abstract Klebsiella oxytoca is an under-recognised opportunistic pathogen increasingly associated with severe antimicrobial-resistant infections. Here, we report the first carbapenemase-producing K. oxytoca (CPKO) isolat...

Abstract Juvenile idiopathic arthritis (JIA) comprises a heterogeneous group of childhood-onset inflammatory arthritides that remain challenging to treat. An expanding range of biologic and targeted synthetic disease-mod...

The kidney is a primary organ of heavy metal accumulation, and metal toxicity poses a great challenge to kidney health. We conducted a repeated-measure study to examine the longitudinal associations between blood heavy m...

The population structure of the Murciano-Granadina breed was determined using 25 microsatellites from 266 goats of seven populations. The results of the genetic differentiation analysis showed that it is possible to diff...

This study provides an empirical analysis of the volatility dynamics of the Deutscher Aktienindex (DAX) stock index over a 20-year period based on daily observations, specifically from January 2, 2006, to March 20, 202...

Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...

Caviidae is a diverse group of caviomorph rodents that is broadly distributed in South America and is divided into three highly divergent extant lineages: Caviinae (cavies), Dolichotinae (maras), and Hydrochoerinae (capy...

Abstract Objective By using molecular network technology to analyze the transmission characteristics of the CRF55_01B strain in Yunnan Province, we aimed to identify high-risk transmitters, trace the origin time, locatio...

Abstract Nonergodicity and Simpson’s paradox present significant, yet underappreciated challenges in cognitive neuroscience. Leveraging brain imaging and behavioral data from over 4000 individuals and a Bayesian comput...

Abstract Background Celiac disease (CD) is a systemic autoimmune disorder frequently associated with micronutrient deficiencies and extraintestinal manifestations, including neurological complications. Restless Legs Synd...

Abstract Human social behaviors involve complex interactions between individuals, and understanding how interbrain neural activity reflects and predicts these interactions is critical for advancing social cognitive neuro...

Abstract Background Epidemiological associations between multiple metals exposure and hypertension or blood pressure remain limited and inconclusive, especially for essential metals. This investigation intended to examin...

Background: Exposure to individual neonicotinoids (NNIs) suggestively correlates with the type 2 diabetes mellitus (T2DM) risk in animals. However, existing systematic epidemiological investigations remain scarce and lac...

Dichroplus elongatus is an extensively distributed South American grasshopper considered a pest of major crops. Argentinean populations show a widespread B-chromosome polymorphism which could be maintained as the result ...

Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples largely from the authors' own experiences, the book focuses on modern computat...

Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesi...

BACKGROUND: The evolutionary analysis of molecular sequence variation is a statistical enterprise. This is reflected in the increased use of probabilistic models for phylogenetic inference, multiple sequence alignment, a...

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, c...

With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-throug...

Abstract Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the application of ...

BACKGROUND: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which case...