Saccharomyces Cerevisiae Diet Supplementation Affects Nutrient Digestibility and Milk and Mozzarella Cheese Yield in Dairy Buffalo Cows During the Transition.

The aim of the trial was to evaluate the influence of diet supplementation with Saccharomyces cerevisiae on nutrient digestibility and milk and mozzarella cheese yield in buffalo cows during the transition period. Twenty buffalo cows in the last month of pregnancy were equally divided into two groups (control, C, and treated, T) homogeneous for parity and milk yield at the previous lactation. The diet of group T was supplemented with 100 g/head/day of a product containing Saccharomyces cerevisiae (Sc 47- CNCM I-4407) for 4 weeks before and after calving.

Validity between signs and symptoms of sleep bruxism against a validated portable electromyographic device.

Background: Sleep bruxism is a major research area in dentistry today and needs valid clinical means of diagnosis against valid instrumental methods. Purpose: To assess the validity of the most commonly reported sleep bruxism (SB) signs and symptoms in the literature against a polysomnography (PSG) validated portable electromyographic (EMG) device (BiteStrip®).

Material And Methods: Fifty young adults (40 women & 10 men, 18-30 years old) volunteered for the sequential and simultaneous administration of the SB signs and symptoms questionnaire versus the BiteStrip®.

Maxilla reconstruction with 100% BioOss: A clinical and tomographic follow-up study.

Background: Tooth loss and use of a complete denture is still a reality and results in bone loss. Adequate reconstruction of an extremely atrophic edentulous maxilla is a challenge, and different treatment methods have been described for its resolution.

Material And Methods: Patients seeking implant placement in edentulous upper jaw with atrophic maxilla were selected in a private clinic in Porto Alegre, Brazil.

Network medicine-based epistasis detection in complex diseases: ready for quantum computing.

Most heritable diseases are polygenic. To comprehend the underlying genetic architecture, it is crucial to discover the clinically relevant epistatic interactions (EIs) between genomic single nucleotide polymorphisms (SNPs) (1-3). Existing statistical computational methods for EI detection are mostly limited to pairs of SNPs due to the combinatorial explosion of higher-order EIs.