14,342 research outputs found

    Oblique Shock Breakout in Supernovae and Gamma-Ray Bursts: II. Numerical Solutions For Non-Relativistic Pattern Speeds

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    Non-spherical explosions develop non-radial flows as the pattern of shock emergence progresses across the stellar surface. In supernovae these flows can limit ejecta speeds, stifle shock breakout emission, and cause collisions outside the star. Similar phenomena occur in stellar and planetary collisions, tidal disruption events, accretion-induced collapses, and propagating detonations. We present two-dimensional, nested-grid Athena simulations of non-radial shock emergence in a frame comoving with the breakout pattern, focusing on the adiabatic, non-relativistic limit in a plane stratified envelope. We set boundary conditions using a known self-similar solution and explore the role of box size and resolution on the result. The shock front curves toward the stellar surface, and exhibits a kink from which weak discontinuities originate. Flow around the point of shock emergence is neither perfectly steady nor self-similar. Waves and vortices, which are not predominantly due to grid effects, emanate from this region. The post-shock flow is deflected along the stellar surface, and its pressure disturbs the stellar atmosphere upstream of the emerging shock. We use the numerical results and their analytical limits to predict the effects of radiation transfer and gravity, which are not included in our simulations.Comment: 15 pages, 12 figures, submitted to Ap

    A Systematic Research Review Assessing the Effectiveness of Pursuit Interventions in Spatial Neglect Following Stroke

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    Rehabilitation after stroke is imperative for patients with spatial neglect as it can help improve behavioural, social and cognitive outcomes in these patients, and therefore reduce the financial burden on public health services. The main aim of this review is to investigate the effectiveness of active pursuit eye movements for rehabilitation interventions in patients with spatial neglect following stroke. Potential papers for inclusion were gathered by searching key terms in four main databases (AMED, Global Health, PubMed/Medline and PsychInfo) in addition to screening relevant reference lists. Two reviewers independently selected papers for inclusion based on agreed inclusion criteria (n = 9 with 147 participants). Risk of bias was assessed using the QUADAS-2 tool. All papers reported a statistically significant result in patients who received an intervention which used pursuit eye movements, and this was reported both as a short-term (immediate) effect and as a sustained effect up to 8 weeks after treatment. These effects were also reported in comparison with interventions using saccadic eye movements. One study also reported increased neural activity in a number of brain regions following pursuit-based intervention. Overall, there is good evidence in support of pursuit intervention used in the rehabilitation of stroke and spatial neglect over and above traditional interventions based on saccadic eye movements. Future research should aim to increase sample sizes, provide information on statistical power, record accurate eye movement responses and use randomised designs to reduce selection bias

    The Challenges Affecting Tax Collection in Nigerian Informal Economy: Case Study of Anambra State

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    The Federal and State Governments might not be able to provide infrastructural development for its citizens if the citizens do not pay tax. Successive government officers and tax administrators in Nigeria have come up with different programs on how to increase tax collection. Each of these programs have proved unsuccessful due to lack of accountability, poor awareness and publicity, and poor implementation. Recently, Anambra state took the unusually step of developing a digital (online) business registration to capture taxpayers in the Informal Economy (IE). This digital registration called, Anambra Social Service Identity Number (ANSSID) have witnessed massive success. Despite the increase in number of business registration, businesses and employees in the IE are finding it difficult to pay tax in Anambra State. By using semi-structured interviews and documentary analysis, this study identified the reason why employees and traders in the IE in Anambra State are not willing to pay tax. In total, 35 business owners, managers, accountants, and employees from different industries were interviewed in Anambra State. The reason for using Anambra state is that in the past few years, the state government has been looking for strategic ways to increase revenue in the informal economy, including tax reforms with the introduction of Anambra State Social Service Identity (ANSSID) number which the state has adopted as part of its strategies to pull all taxable adult into the tax-net. This research contributes and offers guidance to policy makers on how to improve tax revenue in the state. This study found that lack of provision of amenities and infrastructural development are among the reasons why many traders and employees do not pay tax in Anambra State, Nigeria, as they have to bear the burden for the provision of such amenities themselves. Lack of accountability, embezzlement, poor accounting records, deficit of empowerment programs and absence of awareness are the key reasons why people and businesses in IE do not pay tax. Recommendations were made to help policy makers improve their tax revenue

    Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks

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    The PC algorithm is a popular method for learning the structure of Gaussian Bayesian networks. It carries out statistical tests to determine absent edges in the network. It is hence governed by two parameters: (i) The type of test, and (ii) its significance level. These parameters are usually set to values recommended by an expert. Nevertheless, such an approach can suffer from human bias, leading to suboptimal reconstruction results. In this paper we consider a more principled approach for choosing these parameters in an automatic way. For this we optimize a reconstruction score evaluated on a set of different Gaussian Bayesian networks. This objective is expensive to evaluate and lacks a closed-form expression, which means that Bayesian optimization (BO) is a natural choice. BO methods use a model to guide the search and are hence able to exploit smoothness properties of the objective surface. We show that the parameters found by a BO method outperform those found by a random search strategy and the expert recommendation. Importantly, we have found that an often overlooked statistical test provides the best over-all reconstruction results

    Robotic hand augmentation drives changes in neural body representation

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    Humans have long been fascinated by the opportunities afforded through augmentation. This vision not only depends on technological innovations but also critically relies on our brain's ability to learn, adapt, and interface with augmentation devices. Here, we investigated whether successful motor augmentation with an extra robotic thumb can be achieved and what its implications are on the neural representation and function of the biological hand. Able-bodied participants were trained to use an extra robotic thumb (called the Third Thumb) over 5 days, including both lab-based and unstructured daily use. We challenged participants to complete normally bimanual tasks using only the augmented hand and examined their ability to develop hand-robot interactions. Participants were tested on a variety of behavioral and brain imaging tests, designed to interrogate the augmented hand's representation before and after the training. Training improved Third Thumb motor control, dexterity, and hand-robot coordination, even when cognitive load was increased or when vision was occluded. It also resulted in increased sense of embodiment over the Third Thumb. Consequently, augmentation influenced key aspects of hand representation and motor control. Third Thumb usage weakened natural kinematic synergies of the biological hand. Furthermore, brain decoding revealed a mild collapse of the augmented hand's motor representation after training, even while the Third Thumb was not worn. Together, our findings demonstrate that motor augmentation can be readily achieved, with potential for flexible use, reduced cognitive reliance, and increased sense of embodiment. Yet, augmentation may incur changes to the biological hand representation. Such neurocognitive consequences are crucial for successful implementation of future augmentation technologies

    Combining physical training with transcranial direct current stimulation to improve gait in Parkinson's disease: a pilot randomized controlled study

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    OBJECTIVE: To improve gait and balance in patients with Parkinson's disease by combining anodal transcranial direct current stimulation with physical training. DESIGN: In a double-blind design, one group (physical training; n = 8) underwent gait and balance training during transcranial direct current stimulation (tDCS; real/sham). Real stimulation consisted of 15 minutes of 2 mA transcranial direct current stimulation over primary motor and premotor cortex. For sham, the current was switched off after 30 seconds. Patients received the opposite stimulation (sham/real) with physical training one week later; the second group (No physical training; n = 8) received stimulation (real/sham) but no training, and also repeated a sequential transcranial direct current stimulation session one week later (sham/real). SETTING: Hospital Srio Libanes, Buenos Aires, Argentina. SUBJECTS: Sixteen community-dwelling patients with Parkinson's disease. INTERVENTIONS: Transcranial direct current stimulation with and without concomitant physical training. MAIN MEASURES: Gait velocity (primary gait outcome), stride length, timed 6-minute walk test, Timed Up and Go Test (secondary outcomes), and performance on the pull test (primary balance outcome). RESULTS: Transcranial direct current stimulation with physical training increased gait velocity (mean = 29.5%, SD = 13; p < 0.01) and improved balance (pull test: mean = 50.9%, SD = 37; p = 0.01) compared with transcranial direct current stimulation alone. There was no isolated benefit of transcranial direct current stimulation alone. Although physical training improved gait velocity (mean = 15.5%, SD = 12.3; p = 0.03), these effects were comparatively less than with combined tDCS + physical therapy (p < 0.025). Greater stimulation-related improvements were seen in patients with more advanced disease. CONCLUSIONS: Anodal transcranial direct current stimulation during physical training improves gait and balance in patients with Parkinson's disease. Power calculations revealed that 14 patients per treatment arm (α = 0.05; power = 0.8) are required for a definitive trial
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