Identifying transcription factor binding sites (TFBSs) is crucial for understanding the mechanism of transcriptional regulation. It is known that transcription factors (TFs) often cooperate to regulate genes. While tr...
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Identifying transcription factor binding sites (TFBSs) is crucial for understanding the mechanism of transcriptional regulation. It is known that transcription factors (TFs) often cooperate to regulate genes. While traditional approaches can be used to discover binding motifs of a group of co-regulated genes, they often fail to accurately assign motifs to the corresponding TFs. Here, we consider two TFs together to infer their TFBSs and their synergistic relationship simultaneously. The basic idea is that if two TFs interact, their TFBSs, if distinct, would be conserved across species and coincided in the promoter regions of the genes they co-regulated. Applying our method to Saccharomyces cerevisiae chromatin immunoprecipitation data, we predicted 110 TF pairs with statistically significant motif assignments. A majority of these TF pairs have literature support to be synergistic, and the designated motifs to TFs match well with their known consensus. We further examined the synergism of predicted TF pairs in seven experimental conditions using ANOVA, and identified significant interactions.
Objective To determine the prevalence of overweight and abdominal fat in the adult population in the urban area of Teresina, PI, Brazil. Methods This is a cross-sectional study with probability sampling by conglomerat...
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Objective To determine the prevalence of overweight and abdominal fat in the adult population in the urban area of Teresina, PI, Brazil. Methods This is a cross-sectional study with probability sampling by conglomerates. The study evaluated 464 adults, 20 to 59 years of age, living in the urban area of Teresina, PI, Brazil. Nutritional status was classified according to body mass index (BMI), and abdominal fat accumulation was estimated according to waist circumference. The significance level was set at 5% (p < 0.05). Results The prevalence of overweight and obesity according to nutritional status, based on BMI, was 30.0% and 7.7%, respectively. An increase in the proportion of overweight and obesity among men with progressively higher family income was observed. Higher rates of obesity were found among individuals 50 to 59 years of age with stable relationships and nonsmokers. An association between individual or family income and presence of abdominal fat was not observed in the population. Conclusion The prevalence of overweight in the study population follows the national trend. Proportions of overweight and obesity were higher among men and increased with age. Women and married individuals showed a greater tendency for abdominal obesity.
Very few learning systems applied to problem solving have focused on learning operator definitions from the interaction with a completely unknown environment. Autonomous Intelligent Systems (AIS) deal with that issue ...
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Ubiquitous applications use context information to provide services and relevant information for their users. On the other hand, in Software Product Line approaches, commonality and variability of a system family shou...
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Ubiquitous applications use context information to provide services and relevant information for their users. On the other hand, in Software Product Line approaches, commonality and variability of a system family should be identified and documented through variability modeling. Thus, one of the challenges to build Context-Aware Product Lines, called Dynamic Software Product Lines, is the consistent representation of context information that influences the variability model. This work proposes the use of UML profiles and OCL to formalize and represent variability and context concepts in a consistent manner.
作者:
Cindy L. Farley CNM, phdCindy L. Farley
CNM PhD is director of Greene Midwifery Care a full-scope midwifery practice located in Fairborn OH and is faculty in Philadelphia University's Master's of Science in Midwifery program.
Service learning is learning acquired through experiential education that deliberately links service to others with the goal of achieving specific academic objectives. Service learning is an educational innovation tha...
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Service learning is learning acquired through experiential education that deliberately links service to others with the goal of achieving specific academic objectives. Service learning is an educational innovation that encompasses a wide range of activities and pedagogies while maintaining a commitment to principles of service. Although midwifery is a profession rooted in service to women and their families, scant attention has been paid to the purposeful inclusion of service-learning experiences in midwifery curricula. This article describes service learning and discusses practical applications in midwifery education.
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-dependent variables for the purpose of ...
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ISBN:
(纸本)9781605585161
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects the most informative subset of time-dependent variables for the purpose of Bayesian model inference. The model selection criterion maximizes the expected Kullback-Leibler divergence between the prior and the posterior probabilities over the models. The proposed strategy generalizes the standard D-optimal design, which is obtained from a uniform prior with Gaussian noise. In addition, our approach allows us to determine an information halting criterion for model identification. We illustrate the benefits of our approach by differentiating between 18 published biochemical models of the TOR signaling pathway, a model selection problem in systems biology. By generating pivotal selection experiments, our strategy outperforms the standard A-optimal, D-optimal and E-optimal sequential design techniques.
Abstract: Spinal cord injury (SCI) is damage to the spinal cord caused by the trauma or disease that results in compromised or loss of body function. Subsequent to SCI in humans, many individuals have residual motor a...
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Abstract: Spinal cord injury (SCI) is damage to the spinal cord caused by the trauma or disease that results in compromised or loss of body function. Subsequent to SCI in humans, many individuals have residual motor and sensory deficits that impair functional performance and quality of life. The available treatments for SCI are rehabilitation therapy, activity-based therapies, and pharmacological treatment using antioxidants and their agonists. Among pharmacological treatments, the most efficient and commonly used antioxidant for experimental SCI treatment is melatonin, an indolamine secreted by pineal gland at night. Melatonin’s receptor-independent free radical scavenging action and its broad-spectrum antioxidant activity makes it an ideal antioxidant to protect tissue from oxidative stress-induced secondary damage after SCI. Owing to the limitations of an activity-based therapy and antioxidant treatment singly on the functional recovery and oxidative stress-induced secondary damages after SCI, a melatonin plus exercise treatment may be a more effective therapy for SCI. As suggested herein, supplementation with melatonin in conjunction with exercise not only would improve the functional recovery by enhancing the beneficial effects of exercise but would reduce the secondary tissue damage simultaneously. Finally, melatonin may protect against exercise-induced fatigue and impairments. In this review, based on the documented evidence regarding the beneficial effects of melatonin, activity-based therapy and the combination of both on functional recovery, as well as reduction of secondary damage caused by oxidative stress after SCI, we suggest the melatonin combined with exercise would be a novel neurorehabilitative strategy for the faster recovery after SCI.
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