The Fleeting Fame of Florida\u27s Filibuster, Major Frank Hann

For three months in 1895, newspaper readers across the United States followed the heroic adventures of Major F. P. Hann, an American volunteer fighting to free Cuba from Spanish oppression. Hann\u27s thirteen letters offered eyewitness accounts from the island\u27s battlefields during the early days of the Cuban War of Independence. The ninth of these letters ran in at least 90 papers, including some well-known today, such as the New York Times, the Washington Post, the Atlanta Constitution and the San Francisco Chronicle, and it described the arrival from Key West of 100 men, 1,000 repeating rifles, 2,000,000 rounds of ammunition and $250,000 in gold for the rebels. The letter, dated June 10, also relayed the news that Jose Marti had been betrayed into the Spanish hands by a trusted Cuban guide and shot down in cold blood before he could escape

Prevalence of antibodies against canine distemper virus among red foxes in Luxembourg.

Canine distemper virus (CDV) has a wide host spectrum, and during the past years, distemper has been observed in species that were previously not considered to be susceptible. In this study, we investigated the prevalence of CDV-specific antibodies in red foxes (Vulpes vulpes) sampled between May and November 1997. About 9 to 13% of the Luxembourg red fox population is positive for antibodies against CDV. Thus a sizeable proportion of red foxes has been exposed to CDV in the wild. The significance of CDV in red foxes is discussed

Combination of MALDI-TOf mass spectrometry and machine learning for rapid antimicrobial resistance screening: the CASE of Campylobacter spp

While MALDI-TOF mass spectrometry (MS) is widely considered as the reference method for the rapid and inexpensive identification of microorganisms in routine laboratories, less attention has been addressed to its ability for detection of antimicrobial resistance (AMR). Recently, some studies assessed its potential application together with machine learning for the detection of AMR in clinical pathogens. The scope of this study was to investigate MALDI-TOF MS protein mass spectra combined with a prediction approach as an AMR screening tool for relevant foodborne pathogens, such as Campylobacter coli and Campylobacter jejuni. A One-Health panel of 224 C. jejuni and 116 C. coli strains was phenotypically tested for seven antimicrobial resistances, i.e., ciprofloxacin, erythromycin, tetracycline, gentamycin, kanamycin, streptomycin, and ampicillin, independently, and were submitted, after an on- and off-plate protein extraction, to MALDI Biotyper analysis, which yielded one average spectra per isolate and type of extraction. Overall, high performance was observed for classifiers detecting susceptible as well as ciprofloxacin- and tetracycline-resistant isolates. A maximum sensitivity and a precision of 92.3 and 81.2%, respectively, were reached. No significant prediction performance differences were observed between on- and off-plate types of protein extractions. Finally, three putative AMR biomarkers for fluoroquinolones, tetracyclines, and aminoglycosides were identified during the current study. Combination of MALDI-TOF MS and machine learning could be an efficient and inexpensive tool to swiftly screen certain AMR in foodborne pathogens, which may enable a rapid initiation of a precise, targeted antibiotic treatment

Effects of baseline abdominal pain and bloating on response to lubiprostone in patients with irritable bowel syndrome with constipation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134450/1/apt13807.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134450/2/apt13807_am.pd