Fallesencoleman3600

Pseudoruminococcus massiliensis strain Marseille-P3876T (= CSUR P3876) is a new genus from the family Ruminococcaceae that was isolated from the gut microbiota of a healthy Senegalese man. © 2020 The Author(s).We report a first case of Streptococcus pseudoporcinus bacteraemia causing infective endocarditis in a 40-year-old man in Vietnam. This is the second case of Streptococcus pseudoporcinus infective endocarditis in the literature. The patient was successfully treated by antibiotics, combined with aortic valve replacement. Streptococcus pseudoporcinus may be an emerging infectious agent causing endocarditis. © 2020 The Author(s).Strains Marseille-P4001 and Marseille-P3668 are new species from the order Bacteroidales isolated from healthy French volunteers. They are anaerobic Gram-negative rod-shaped bacteria. They exhibited 92.68% and 96.68% 16S rRNA sequence identities with Parabacteroides gordonii strain MS-1 and Parabacteroides chinchillae JCM 17104, respectively, the phylogenetically closest species. Their respective draft genomes measured 5.23 Mb and 3.73 Mb with 39.2 mol% and 40.8 mol% of G + C content. Using a taxonogenomics method, we propose here a brief description of Parabacteroides pacaensis sp. nov., strain Marseille-P4001T and Parabacteroides provencensis sp. nov., strain Marseille-P3668T as new bacterial species. © 2020 The Authors.Background Considering the adverse effects of sleep disturbance in critical care settings, accurate assessment could aid therapy; however, methodological inadequacies mean that no viable option is currently available. Research in healthy population has recently shown that a non-wearable sleep measurement device placed under the mattress of the bed could be beneficial in intensive care settings. Therefore, we aimed to validate this device compared with polysomnography (PSG) and to assess how it related to subjective sleep evaluations. Methods This observational study measured the sleep of critically ill adult patients. The primary goal was to validate the Nemuri SCAN (NSCAN; Paramount Bed Co., Ltd., Tokyo, Japan) against the reference standard PSG for 24 h. The secondary goal was to evaluate the association between the objective parameters obtained from NSCAN and PSG and the subjective report data obtained using the Richards-Campbell Sleep Questionnaire (RCSQ) for the nighttime. Results Eleven participants wer remains a barrier to its use in the assessment of subjective sleep quality. Trial registration This investigation was part of an interventional trial registered with the University Hospital Medical Information Network Individual Clinical Trials Registry (UMIN000026350, http//www.umin.ac.jp/icdr/index-j.html) on March 1, 2017. © The Author(s). 2020.Background Incidents of nonsuicidal self-injury (NSSI) are often accompanied by mental images which could be perceived as distressing and/or soothing; yet existing data is derived from participants with a history of NSSI using retrospective methods. This study investigated mental images related to NSSI ("NSSI-images"), and their relationship to the proposed Nonsuicidal Self-Injury Disorder (NSSID). Methods An e-mail was sent to all female students of the local University providing the link to an online screening and 201 students with a history of repetitive NSSI responded. Nineteen eligible participants meeting criteria of NSSID (mean age = 25; 32% with migrant background) further completed a baseline interview and a ten-day-diary protocol. EPZ015666 clinical trial Results Among the sample of N = 201, 83.6% reported NSSI-images. In the subsample of n = 19 diagnosed with NSSID, the frequencies of NSSI and NSSI-images were correlated; about 80% of the most significant NSSI-images were either of NSSI or of an instrument associated with sals of NSSI and thus play a role in NSSI and possibly a disorder such as NSSID. The preoccupation with NSSI (Criterion C of NSSID in DSM-5) may as well be imagery-based. Registration The study was retrospectively registered with the DRKS under the number DRKS00011854. © The Author(s). 2020.Background Tackling behavioural questions often requires identifying points in space and time where animals make decisions and linking these to environmental variables. State-space modeling is useful for analysing movement trajectories, particularly with hidden Markov models (HMM). Yet importantly, the ontogeny of underlying (unobservable) behavioural states revealed by the HMMs has rarely been verified in the field. Methods Using hidden Markov models of individual movement from animal location, biotelemetry, and environmental data, we explored multistate behaviour and the effect of associated intrinsic and extrinsic drivers across life stages. We also decomposed the activity budgets of different movement states at two general and caching phases. The latter - defined as the period following a kill which likely involves the caching of uneaten prey - was subsequently confirmed by field inspections. We applied this method to GPS relocation data of a caching predator, Persian leopard Panthera pardus saxicolor in maintaining home range. Range residency in territorial predators is energetically demanding and can outweigh the predator's response to intrinsic and extrinsic variables such as thermoregulation or foraging needs. Our approach provides an insight into spatial behavior and decision making of leopards, and other large felids in rugged landscapes through the application of the HMMs in movement ecology. © The Author(s). 2020.Background California horn sharks (Heterodontus francisci) are nocturnally active, non-obligate ram ventilating sharks in rocky reef habitats that play an important ecological role in regulating invertebrate communities. We predicted horn sharks would use an area restricted search (ARS) movement strategy to locate dense resource patches while minimizing energetic costs of travel and nighttime activity. As ectotherms, we predicted environmental temperature would play a significant role in driving movement and activity patterns. Methods Continuous active acoustic tracking methods and acceleration data loggers were used to quantify the diel fine-scale spatial movements and activity patterns of horn sharks. First passage time was used to identify the scale and locations of patches indicative of ARS. Activity was assessed using overall dynamic body acceleration (ODBA) as a proxy for energy expenditure. Behavior within a patch was characterized into three activity patterns resting, episodic burst activity, and moderate, consistent activity.