assessing the risk of conversion to multiple sclerosis (MS) in patients with optic neuritis (ON) has been the topic of numerous studies. However, since the risk factors differ from population to population, the extension of conclusions is a matter of debate. This study focused on the Iranian patients with optic neuritis and assessed the probability of conversion to multiple sclerosis by using a machine-based learning decision tree.
 
  in this retrospective, observational study the medical records of patients with optic neuritis from 2008 to 2018 were reviewed. Baseline vision, the treatment modality, magnetic resonance imaging (MRI) findings, and patients' demographics were gathered to evaluate the odds of each factor for conversion to MS. The decision tree was then obtained from these data based on their specificity and sensitivity to predict the probability of conversion to MS.
 
  the overall conversion rate to MS was 42.2% (117/277). 63.1 percent of patients had abnormal MRIs at baseline. The presence of white matter plaque had the highest odds for the conversion followed by the positive history of optic neuritis attack and gender. The regression tree showed that the presence of plaque was the most important predicting factor that increased the probability of conversion from 16 to 51 percent.
 
  the decision tree could predict the probability of conversion to MS by considering multiple risk factors with acceptable precision.
 the decision tree could predict the probability of conversion to MS by considering multiple risk factors with acceptable precision.Biological visual systems exhibit abundant recurrent connectivity. State-of-the-art neural network models for visual recognition, by contrast, rely heavily or exclusively on feedforward computation. Any finite-time recurrent neural network (RNN) can be unrolled along time to yield an equivalent feedforward neural network (FNN). This important insight suggests that computational neuroscientists may not need to engage recurrent computation, and that computer-vision engineers may be limiting themselves to a special case of FNN if they build recurrent models. Here we argue, to the contrary, that FNNs are a special case of RNNs and that computational neuroscientists and engineers should engage recurrence to understand how brains and machines can (1) achieve greater and more flexible computational depth (2) compress complex computations into limited hardware (3) integrate priors and priorities into visual inference through expectation and attention (4) exploit sequential dependencies in their data for better inference and prediction and (5) leverage the power of iterative computation.The compact nervous system of the nematode Caenorhabditis elegans makes it a powerful playground to study how neural dynamics constrained by neuroanatomy generate neural function and behavior. The ability to record neural activity from the whole brain simultaneously in this worm has opened several research avenues and is providing insights into brain-wide neural coding of locomotion, sleep, and other behaviors. We review these findings and the development of new methods, including new microscopes, new genetic tools, and new modeling approaches. We conclude with a discussion of the role of theory in interpreting or driving new experiments in C. elegans and potential paths forward.New neurotechnologies fueled by the BRAIN Initiative now allow investigators to map, monitor and modulate complex neural circuits, enabling the pursuit of research questions previously considered unapproachable. Yet it is the convergence of molecular neuroscience with the new systems neuroscience that promises the greatest future advances. This is particularly true for our understanding of nervous system disorders, some of which have known molecular drivers or pathology but result in unknown perturbations in circuit function. NIH-supported research on "BRAIN Circuits" programs integrate experimental, analytic, and theoretical capabilities for analysis of specific neural circuits and their contributions to perceptions, motivations, and actions. In this review, we describe the BRAIN priority areas, review our strategy for balancing early feasibility with mature projects, and the balance of individual with team science for this 'BRAIN Circuits' program. We also highlight the diverse portfolio of techniques, species, and neural systems represented in these projects.After more than two decades of intensive research, tremendous progress has been achieved in the management of Human Epidermal Receptor-2 overexpressing (Her2+) Early Breast Cancer (EBC). In the latest years, major clinical trials have explored the neoadjuvant scenario, in addition to the prognostic role of pathologic complete response (pCR) and the possibility of a 'tumor biology-driven' patient selection provided by the assessment pathologic response. However, the introduction of new agents has been a major burden for financially-constrained healthcare systems-which includes those from most emerging markets (currently representing 85% of the world population) but also, to some extent, public systems from welfare states.  https://www.selleckchem.com/products/mycmi-6.html  This manuscript addresses evidence-based opportunities to promote a more rational utilization of the available resources in Her2+ EBC, in addition to areas of interest for future research in cost-efficiency.
  Lateral ankle sprains (LAS) are among the most common injuries in sports, with a poor long - term prognosis due to high chronicity and recurrence rates. Chronic ankle instability (CAI) results up to 40% of people that endured a first - time LAS.
 
  The aim of this study was to compare ankle stability between groups characterised by the use of different types of footwear during their sport activities.
 
  Cross-sectional study.
 
  Firm training surface, local sport clubs.
 
  Fifty - one male subjects were recruited, distributed in four groups based on the type of footwear they use during their sport activities.
 
  All subjects performed four clinical ankle stability tests, and completed the Dutch version of the Cumberland Ankle Instability Tool (CAIT) and Profile of Mood States (POMS). All clinical ankle stability tests were performed barefoot.
 
  Subjects performing their sport activities barefoot scored better than subjects performing their sport with shoes at the multiple hop test (p=.002 to .047) and executed the figure-of-8 hop test significantly faster than subjects with submalleolar ankle support (AS) (p=.