Norrisfreedman5026
Taken together, our results indicate that the social presence of a robot may influence the way we plan our actions and also the way we monitor their consequences. Implications of the study for the human-robot interaction field are discussed.Salmonella spp. remains the most significant foodborne pathogen in south Brazil, but its epidemiology tends to change over time. Using official and surrogate data, a microbial subtyping model attributed different Salmonella serovars to laying hens, pigs, broilers, and turkeys from 2005 to 2015 in Rio Grande do Sul (RS). Additional to the subtyping model, three sub-analyses of outbreak data attributed Salmonella spp. in humans to animal and non-animal food. Laying hens/eggs was the most important source of human salmonellosis in RS, with almost 40% (159 cases; 95% credibility interval, 43-247) attribution proportion, followed by pigs reared in Santa Catarina, a neighbor state (34.5%). The Salmonella serovars Enteritidis and Typhimurium were the most common serovars involved. Source-related parameters had wide credibility intervals but showed a higher risk of illness from contaminated eggs than from the other three animal-food sources. Analysis of the outbreak data corroborated the findings and indicated signs of decreasing importance for eggs and increasing importance for pork consumption.
Fragile X Tremor and Ataxia Syndrome is a progressive neurodegenerative disorder that develops in some FMR1 premutation carriers. Transmembrane Transporters chemical The objective of this study is to characterize how cytokine levels are altered in the FXTAS brain.
Fresh frozen cerebellar tissue from FXTAS cases and controls was homogenized and analyzed for 12 different cytokines using a commercially available ELISA panel.
Relative to controls, FXTAS cases showed large and significant increases in the cytokines IL-12 and TNFα. There were large but non-significant increases in the levels of IL-2, IL-8, and IL-10 in FXTAS cases. The cytokines IL-1A, IL-1B, IL-4 IL-6, IL-17A, IFNγ, and GM-CSF were not different between FXTAS and control subjects.
For the first time, we demonstrate an increase in the pro-inflammatory cytokines TNFα and IL-12 in the FXTAS brain, both of which are implicated in the pathogenesis of Multiple Sclerosis, another neurodegenerative disorder that predominantly consists of white matter disease.
For the first time, we demonstrate an increase in the pro-inflammatory cytokines TNFα and IL-12 in the FXTAS brain, both of which are implicated in the pathogenesis of Multiple Sclerosis, another neurodegenerative disorder that predominantly consists of white matter disease.
Gliomas are uniformly fatal brain tumours with significant neurological and quality of life detriment to patients. Improvement in outcomes has remained largely unchanged in nearly 20 years. MRI (magnetic resonance imaging) is often used in diagnosis and management. Machine learning analyses of large-scale MRI data are pivotal in advancing the diagnosis, management and improve outcomes in neuro-oncology. A common challenge to robust machine learning approaches is the lack of large 'ground truth' datasets in supervised learning for building classification and prediction models. The creation of these datasets relies on human-expert input and is time-consuming and subjective error-prone, limiting effective machine learning applications. Simulation of mechanistic aspects such as geometry, location and physical properties of brain tumours can generate large-scale ground-truth datasets allowing for comparison of analysis techniques in clinical applications. We aimed to develop a transparent and convenient method f Ongoing research efforts include optimizing the workflow for generating glioma datasets as well as adapting it to simulating additional MRI brain changes.
The reliable and user-friendly software method can allow for robust simulation of high-grade glioma on MRI. Ongoing research efforts include optimizing the workflow for generating glioma datasets as well as adapting it to simulating additional MRI brain changes.The analysis of leukocyte recruitment in intravital video microscopy (IVM) is essential to the understanding of inflammatory processes. However, because IVM images often present a large variety of visual characteristics, it is hard for an expert human or even conventional machine learning techniques to detect and count the massive amount of cells and extract statistical measures precisely. Convolutional neural networks are a promising approach to overcome this problem, but due to the difficulty of labeling cells, large data sets with ground truth are rare. The present work explores an adaptation of the RetinaNet model with a suite of augmentation techniques and transfer learning for detecting leukocytes in IVM data. The augmentation techniques include simulating the Airy pattern and motion artifacts present in microscopy imaging, followed by traditional photometric, geometric and smooth elastic transformations to reproduce color and shape changes in cells. In addition, we analyzed the use of different network backbones, feature pyramid levels, and image input scales. We have found that even with limited data, our strategy not only enables training without overfitting but also boosts generalization performance. Among several experiments, the model reached a value of 94.84 for the average precision (AP) metric as our best outcome when using data from different image modalities. We also compared our results with conventional image processing techniques and open-source tools. The results showed an outstanding precision of the method compared with other approaches, presenting low error rates for cell counting and centroid distances. Code is available at https//github.com/brunoggregorio/retinanet-cell-detection.According to cue-based retrieval theories of sentence comprehension, establishing the syntactic dependency between a verb and the grammatical subject is susceptible to interference from other noun phrases in the sentence. At the verb, the subject must be retrieved from memory, but non-subject nouns that are similar on dimensions that are relevant to subject-verb agreement, like number marking, can make the retrieval more difficult. However, cue-based retrieval models fail to account for a class of interference effects, conventionally called "encoding interference," that cannot be due to retrieval interference. In this paper, we implement a self-organized sentence processing model that provides a more parsimonious explanation of encoding interference effects than otherwise reasonable extensions that could be made to the cue-based retrieval approach. We first also present new behavioral evidence for encoding interference using a semantic similarity manipulation in two self-paced reading studies of subject-verb number agreement. The results of these experiments are more compatible with the self-organizing account. We argue that self-organization, which reduces all parsing to fallible feature match optimization and makes no a priori distinction between encoding and retrieval, can provide a unifying approach to similarity-based interference in sentence comprehension.
To evaluate cytokine production in vitro by different types of leukocytes stimulated with monosodium urate (MSU), calcium pyrophosphate (CPP) and basic calcium phosphate (BCP) crystals.
Polymorphonuclear cells (PMN), monocytes and lymphocytes, isolated from healthy volunteer blood, were stimulated for different time periods with increasing MSU, CPP or BCP crystal concentrations. IL-1β, IL-8, IL-6, CCL2, IL-1Ra and TGFβ1 were determined by ELISA.
Exposure of PMN to different crystals resulted in a moderate IL-8 and IL-1Ra release. Stimulation of monocytes induced a significant production of all the cytokines evaluated. The highest levels of IL-1β, IL-6, CCL2 and IL-8 were observed with MSU at 0.5mg/ml, CPP at 0.01-0.05mg/ml and BCP at 1mg/ml after 18-48h and then decreased. At the same crystal concentrations, IL-1Ra and TGFβ1 increased until the end of the experiment. Treatment of lymphocytes with different crystals did not induce cytokine release.
This study demonstrates that PMN, monocytes and lymphocytes from the same donor respond differently after stimulation with MSU, CPP or BCP crystals, depending on the dose and the time of exposure. Crystals induce a rapid increase of pro-inflammatory cytokines, whereas longer time is required to release high levels of anti-inflammatory cytokines.
This study demonstrates that PMN, monocytes and lymphocytes from the same donor respond differently after stimulation with MSU, CPP or BCP crystals, depending on the dose and the time of exposure. Crystals induce a rapid increase of pro-inflammatory cytokines, whereas longer time is required to release high levels of anti-inflammatory cytokines.
We developed a Japanese version of the simplified modified Rankin Scale questionnaire, of which the agreement between patients or their family members and neurologists was verified in a previous single-center study. In the present study, the reliability of the questionnaire was evaluated in another hospital.
The participants were prospectively-registered patients with acute ischemic stroke admitted to Saiseikai Kumamoto Hospital. The questionnaire was administered to the patients or their family members at discharge. At the same time, the attending physician assessed the Japanese version of a guidance scheme for the modified Rankin Scale. The agreement rate between the scores from both assessments was examined using the κ statistic and weighted κ statistic. We examined the factors related to disagreement between the modified Rankin Scale score by the attending physicians and the questionnaire score by patients/family members.
A total of 146 patients (age 77 ± 12 years; 53% men) were included. Agreement between the raters was 39%; the κ statistic was 0.27, but the weighted κ statistic, taking into account the extent of disagreement, was 0.81. In multivariate analysis, the disagreement between the modified Rankin Scale score and the questionnaire score was negatively associated with a modified Rankin Scale score of 5 at discharge (odds ratio, 0.02 per score point; 95% confidence interval, 0.00-0.34).
The questionnaire showed decent reliability and similarity to the modified Rankin Scale assessed by physicians. The questionnaire could be a reliable indicator for assessing stroke functional outcomes even when implemented by non-medical staff.
The questionnaire showed decent reliability and similarity to the modified Rankin Scale assessed by physicians. The questionnaire could be a reliable indicator for assessing stroke functional outcomes even when implemented by non-medical staff.
To investigate the neuroprotective effect of protocatechuic acid (PCA) on cell death/survival protein imbalance in a rat model of middle cerebral artery occlusion and reperfusion.
Focal ischemia was induced by middle cerebral artery occlusion in adult male Wistar rats and confirmed by measuring infarction of brain by 2,3,5-Triphenyltetrazolium chloride (TTC) staining. Rats were treated with vehicle or PCA at 10, 30 or 50 mg/kg dose intraperitoneally and subjected to neurological deficits or beam walk assessment at 24 h of reperfusion. Effective dose of PCA (50 mg/kg) was administered at 1, 2 and 3 h time point of post-ictus ischemia. Cellular damage and nuclear condensation was observed by haematoxylin and eosin (H and E) staining and Hoechst 33342 staining respectively. Additionally, immunohistochemical expression of caspase 3 and cAMP-response element binding protein (CREB) and their mRNA's were observed.
PCA at 30 and 50 mg/kg significantly improved behavioural performance and reduced infarction. Maximum neuroprotective effect of PCA (50 mg/kg) was found at 1 h (early hours) post-ictus ischemia along with reduction in cellular damage and nuclear condensation.
