Effects of bulk tank milk, waste milk, and pasteurized waste milk on the nutrient utilization, gastrointestinal tract development, and antimicrobial resistance to Escherichia coli in pre-weaned dairy calves.

This study aimed to assess the impact of bulk tank milk (BTM), waste milk (WM), and pasteurized waste milk (PWM) on nutrient digestibility, ruminal and cecal fermentation, gastrointestinal tract (GIT) development, and antimicrobial resistance of fecal Escherichia coli from dairy calves at 2 periods (30 and 60 d of age). Calves were grouped according to body weight, serum protein levels, and breed composition. Three treatments were included: BTM (n = 21), WM from cows under antibiotic treatment (n = 21), and PWM (waste milk submitted to high-temperature, short-time pasteurization; n = 21). A total of 63 calves were used, of which: 18 animals (n = 6 per treatment) evaluated in the period of 4 - 30 d and 45 (n = 15 per treatment) from 4 - 60 d. During the experimental period, a daily intake of 6 L of milk was divided into 2 equal meals, with ad libitum access to water and starter. Milk and feed intakes were recorded daily. Apparent total-tract digestibility and nitrogen balance were conducted from 25 to 29 d of age (n = 6) and from 53 to 57 d of age (n = 15). Animals were euthanized at 30 ± 1 and 60 ± 1 d of age for the assessment of ruminal and cecal fermentation and GIT development. Antimicrobial susceptibility testing was conducted at 1, 30, and 60 d of age (n = 15/treatment). Statistical analysis utilized a linear mixed-effects model for continuous outcomes and generalized linear models for single measurements (R software). Treatments WM and PWM had lower rumen pH, higher ruminal acetate concentration, larger reticulorumen and liver, and a higher prevalence of fecal-resistant E. coli compared with BTM at both 30 and 60 d. Up to 60 d, both BTM and WM treatments exhibited higher digestibility of ether extract and gross energy compared with the PWM, whereas WM and PWM treatments showed increased nitrogen intake and retention compared with the BTM. These findings suggest that pasteurization of waste milk negatively affects nutrient digestibility and calf performance, while also impacting rumen development. Additionally, the use of milk containing antibiotic residue leads to the selection of resistant E. coli in the GIT over time.

Iron-magnesium silicate bioweathering on Earth (and Mars?).

We examined the common, iron-magnesium silicate minerals olivine and pyroxene in basalt and in mantle rocks to determine if they exhibit textures similar to bioweathering textures found in glass. Our results show that weathering in olivine may occur as long, narrow tunnels (1-3 microm in diameter and up to 100 microm long) and as larger irregular galleries, both of which have distinctive characteristics consistent with biological activity. These weathering textures are associated with clay mineral by-products and nucleic acids. We also examined olivine and pyroxene in martian meteorites, some of which experienced preterrestrial aqueous alteration. Some olivines and pyroxenes in the martian meteorite Nakhla were found to contain tunnels that are similar in size and shape to tunnels in terrestrial iron-magnesium silicates that contain nucleic acids. Though the tunnels found in Nakhla are similar to the biosignatures found in terrestrial minerals, their presence cannot be used to prove that the martian alteration features had a biogenic origin. The abundance and wide distribution of olivine and pyroxene on Earth and in the Solar System make bioweathering features in these minerals potentially important new biosignatures that may play a significant role in evaluating whether life ever existed on Mars.

A noninvasive glucose monitor: preliminary results in rabbits.

BACKGROUND: Glucose in the aqueous humor appears to correlate with plasma glucose in humans. It is therefore a potential substrate for noninvasive optical glucose monitoring techniques. We wished to determine the potential for using rabbit aqueous humor as a model to develop a noninvasive method of measuring glucose with Raman spectroscopy. METHODS: Aqueous humor from 32 rabbit eyes was removed immediately after sacrifice by rapid exsanguination under anesthesia. Raman spectroscopy was performed on the aqueous humor using near infrared (NIR) excitation wavelengths. The Raman spectra from 785 nm and 787.2 nm were subtracted one from the other to eliminate broadband fluorescence. The spectra were then analyzed with linear and nonlinear multivariate analysis and assessed for ability to predict actual aqueous humor glucose concentration. Nine other rabbits were anesthetized with xylazine in order to cause elevation of blood glucose by blocking release of insulin. Blood and aqueous humor glucose were measured at various times after injection of xylazine. Correlation of aqueous humor glucose with simultaneous plasma glucose was assessed. RESULTS: Partial least squares analysis of raw Raman spectra of aqueous humor showed fair correlation with actual glucose concentration (r2 = 0.76). When the fluorescence spectrum was subtracted prior to linear multivariate analysis correlation was good (r2 = 0.90). When back-propagation with an artificial neural network was added to the analysis, correlation was further improved (r2 = 0.98). Aqueous humor glucose concentration exceeded blood glucose concentration at normoglycemic levels. When blood glucose rose above 200 mg/dL, aqueous humor glucose correlated linearly with plasma glucose. CONCLUSIONS: Raman spectroscopy can accurately predict glucose concentration in rabbit aqueous humor in vitro. Although rabbit aqueous humor is probably not a good model of human aqueous humor glucose physiology, its reliable correlation with plasma glucose makes it a good model on which to test noninvasive optical sensing techniques.

Galaxies, human eyes, and artificial neural networks.

The quantitative morphological classification of galaxies is important for understanding the origin of type frequency and correlations with environment. However, galaxy morphological classification is still mainly done visually by dedicated individuals, in the spirit of Hubble's original scheme and its modifications. The rapid increase in data on galaxy images at low and high redshift calls for a re-examination of the classification schemes and for automatic methods. Here are shown results from a systematic comparison of the dispersion among human experts classifying a uniformly selected sample of more than 800 digitized galaxy images. These galaxy images were then classified by six of the authors independently. The human classifications are compared with each other and with an automatic classification by an artificial neural network, which replicates the classification by a human expert to the same degree of agreement as that between two human experts.