In this letter, the effect of shifting pulses of a time-modulated array (TMA) on sideband radiations is examined, and the total power formulation is generalized to asymmetric cases. Also, it is shown theoretically that shifting pulses changes the total power radiated in harmonics.

The invertebrate microbiome contributes to multiple aspects of host physiology, including nutrient supplementation and immune maturation processes. We identified and compared gut microbial abundance and diversity in natural tsetse flies from Uganda using five genetically distinct populations of Glossina fuscipes fuscipes and multiple tsetse species (Glossina morsitans morsitans, G. f. fuscipes, and Glossina pallidipes) that occur in sympatry in one location. We used multiple approaches, including deep sequencing of the V4 hypervariable region of the 16S rRNA gene, 16S rRNA gene clone libraries, and bacterium-specific quantitative PCR (qPCR), to investigate the levels and patterns of gut microbial diversity from a total of 151 individuals. Our results show extremely limited diversity in field flies of different tsetse species. The obligate endosymbiont Wigglesworthia dominated all samples (>99%), but we also observed wide prevalence of low-density Sodalis (tsetse's commensal endosymbiont) infections (<0.05%). There were also several individuals (22%) with high Sodalis density, which also carried coinfections with Serratia. Albeit in low density, we noted differences in microbiota composition among the genetically distinct G. f. fuscipes flies and between different sympatric species. Interestingly, Wigglesworthia density varied in different species (10(4) to 10(6) normalized genomes), with G. f. fuscipes having the highest levels. We describe the factors that may be responsible for the reduced diversity of tsetse's gut microbiota compared to those of other insects. Additionally, we discuss the implications of Wigglesworthia and Sodalis density variations as they relate to trypanosome transmission dynamics and vector competence variations associated with different tsetse species.

The ctenophore Mnemiopsis leidyi is one of the most successful marine bioinvaders on record. Native to the Atlantic coast of the Americas, M. leidyi invaded the Black Sea, Caspian and Mediterranean Seas beginning the in late 1980s, followed by the North and Baltic Seas starting in 2006, with major concomitant alterations in pelagic ecology, including fishery collapses in some cases. Using extensive native range sampling (21 sites), along with 11 invasive sites in the Black, Caspian, Mediterranean, North and Baltic Seas, we examined M. leidyi worldwide phylogeographic patterns using data from mitochondrial cytochrome b (cytb) and six nuclear microsatellite loci. Cytb and microsatellite data sets showed different levels of genetic differentiation in the native range. Analyses of cytb data revealed considerable genetic differentiation, recovering three major clusters (northwestern Atlantic, Caribbean, and South America) and further divided northwestern Atlantic sampling sites into three groups, separated approximately at Cape Hatteras on the US Atlantic coast and at the Floridian peninsula, separating the Gulf of Mexico and Atlantic coasts. In contrast, microsatellite data only distinguished samples north and south of Cape Hatteras, and suggested considerable gene flow among native samples with clear evidence of isolation by distance. Both cytb and microsatellite data sets indicated that the northern invaders (North/Baltic Seas) originated from north of Cape Hatteras, with cytb data pointing to Delaware and north. Microsatellite data indicated a source for the southern invaders (Black, Caspian and Mediterranean Seas) to be south of Cape Hatteras, while cytb data narrowed the source location to the Gulf of Mexico region. Both cytb and microsatellite data sets suggested that the southern invasion was associated with genetic bottlenecks while evidence was equivocal for the northern invasion. By increasing the native range spatial sampling, our dataset was able to sufficiently characterize patterns and levels of genetic differentiation in the native range of M. leidyi and identify likely biogeographic boundaries, allowing for the most complete characterization of M. leidyi's invasion histories and most realistic estimates of its source region(s) to date.

INTRODUCTION: Obesity is one of the most serious public health problem worldwide. Adipose tissue synthetize and secrete many growth factors and several cytokines known as adipokines. Studies demonstrated changes in the levels of these adipokines in many types of cancer associated with obesity. In this study, we aimed to evaluate the possible relationship between adiponectin and leptin levels with pancreas cancer and disease stage, representative of Turkish population. MATERIALS AND METHODS: The study was conducted between April 2012 - November 2013. Study included 46 patients - 46 control subjects, who had pancreatic carcinoma. Results between the patients and the control group and relationship between the disease stage and results were evaluated. RESULTS: The comparison of preoperative adiponectin and leptin levels of the study group with the levels of the control group showed that there was no correlation with adiponectin and pancreas cancer. In contrast, leptin levels in the study group were significantly lower than in the control group. There was no correlation between the disease stage and adiponectin and leptin levels. CONCLUSION: There was a significant correlation between low leptin levels and pancreatic cancer, while adiponectin had no correlation. Differential diagnosis of pancreas cancer can be made by evaluating low leptin levels with elevated tumor markers (Tab. 3, Ref. 17). Text in PDF www.elis.sk.

This letter studies some nonlinear fractional differential equations. The sub-equation method is used for finding exact solutions of these equations. Meanwhile, the traveling wave transformation method has been used to convert fractional order partial differential equation to fractional order ordinary differential equation. Calculations in this method are simple and effective mathematical tool for solving fractional differential equations in science and engineering. The power of this manageable method is presented by applying it to several examples. This approach can also be applied to other nonlinear fractional differential equations.

Methods: Surfaces were sampled twice daily for five consecutive days using a contact-based counting method to measure the levels of staphylococci in colony forming units (cfu) per cm2. Results: Current recommendations for human hospitals were applied in this study; all samples with < 2.5cfu/cm2 staphylococci were considered to have passed and those with >= 2.5cfu/cm2 to have failed. Of all the samples, 55.9% failed. The ICU did not have significantly higher failure rates than other areas of the hospital. The floor as a surface was associated with greater than a threefold increase in odds of elevated cfu concentrations relative to the door handle. Clinical Significance: This study provides information on the microbiological cleanliness of a veterinary teaching hospital using techniques and standards adopted by the food industry and recommended for human hospitals. This data can be used as a baseline for other hospitals, to evaluate the effectiveness in improvements in hygiene and cleaning measures and to design effective hospital cleaning protocols and assess ongoing hygiene standards.

Abstract Dysregulated metabolism is a hallmark of cancer, manifested through alterations in metabolites. We performed metabolomic profiling on 138 matched clear cell renal cell carcinoma (ccRCC)/normal tissue pairs and found that ccRCC is characterized by broad shifts in central carbon metabolism, one-carbon metabolism, and antioxidant response. Tumor progression and metastasis were associated with metabolite increases in glutathione and cysteine/methionine metabolism pathways. We develop an analytic pipeline and visualization tool (metabolograms) to bridge the gap between TCGA transcriptomic profiling and our metabolomic data, which enables us to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome. Lastly, expression profiling was performed on a high-glutathione cluster, which corresponds to a poor-survival subgroup in the ccRCC TCGA cohort.