Effect of IGFBP-4 during In Vitro Maturation on Developmental Competence of Bovine Cumulus Oocyte Complexes.

Insulin-like growth factors (IGFs) are essential for oocyte maturation. Their bioavailability is regulated by their respective binding proteins (IGFBPs) and proteases. IGFBP-4 blocks the biological effects of IGFs.

Uterine Disease in Dairy Cows: A Comprehensive Review Highlighting New Research Areas.

Uterine disease is an intensely studied part of dairy cattle health management as it heavily affects many commercial dairy farms and has serious economic consequences. Forms of the disease, pathophysiology, pathogens involved and the effects of uterine disease on the health and performance of cows have already been well described by various authors. Lately, researchers' attention has shifted towards the healthy microbiome of the uterus and the vagina to put emphasis on prevention rather than treatment.

Comparison between a Calving Predictive System and a Routine Prepartal Examination in German Holstein Heifers and Cows.

The objective was to validate the efficacy of Moocall® comparing it to a routine clinical examination. Altogether 38 Holstein cows were enrolled in this study (Moocall® group: 16 heifers and 8 cows; control group: 9 heifers and 5 cows). Clinical examinations were performed every 6 h over the 7 days period before the predicted calving date.

[Buiatrics: What's your diagnosis?].

Therapy of a high-grade balanoposthitis with partial penile and preputial prolapse after unsuccessful initial therapy of a ten-year-old dexter bull. Two punctures, about 1 cm depth were found at the base of the prolapsed tissue, which were probably caused by partially perforating U-stitches by the local veterinarian. The highly inflamed and swollen tissue disabled the penis to retract.

Efficient Dynamics Estimation with Adaptive Model Sets.

Robotic systems frequently operate under changing dynamics, such as driving across varying terrain, encountering sensing and actuation faults, or navigating around humans with uncertain and changing intent. In order to operate effectively in these situations, robots must be capable of efficiently estimating these changes in order to adapt at the decision-making, planning, and control levels. Typical estimation approaches maintain a fixed set of candidate models at each time step; however, this can be computationally expensive if the number of models is large.