33,183 research outputs found

    Firebird Database Backup by Serialized Database Table Dump

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    This paper presents a simple data dump and load utility for Firebird databases which mimics mysqldump in MySQL. This utility, fb_dump and fb_load, for dumping and loading respectively, retrieves each database table using kinterbasdb and serializes the data using marshal module. This utility has two advantages over the standard Firebird database backup utility, gbak. Firstly, it is able to backup and restore single database tables which might help to recover corrupted databases. Secondly, the output is in text-coded format (from marshal module) making it more resilient than a compressed text backup, as in the case of using gbak.Comment: 5 page

    Colorectal cancer implant in an external hemorrhoidal skin tag.

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    External hemorrhoidal skin tags are generally benign. Colorectal cancer metastases to the squamous epithelium of perianal skin tags without other evidence of disseminated disease is a very rare finding. We present the case of a 61-year-old man with metastasis to an external hemorrhoidal skin tag from a midrectal primary adenocarcinoma. This case report highlights the importance of close examination of the anus during surgical planning for colorectal cancers. Abnormal findings of the perianal skin suggesting an implant or metastatic disease warrant biopsy, as distal spread and seeding can occur. In our patient, this finding appropriately changed surgical management

    Not-so-minor injuries: delayed diagnosis of a large splinter

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    Introduction: In contrast with victims of major trauma, patients who suffer minor injuries receive little specialist input. In most cases, this causes no difficulty, but there are situations where minor trauma results in persistent disability affecting the quality of life. Case Presentation: A young man sustained a perineal puncture wound resulting from a fall onto a bush. Following an initial delay, he sought medical advice for a continual pain in his right leg, and a discharging perineal wound. A computed tomography (CT) scan and flexible sigmoidoscopy failed to identify the cause, and he was subsequently discharged from hospital. One year after his initial presentation, a magnetic resonance imaging (MRI) scan identified a retained foreign body consistent with a fragment of wood. Conclusions: Penetrating trauma from wooden fragments provides a diagnostic challenge. A stubborn discharge from a wound must always raise the suspicion of retained fragment. Early and appropriate surgical exploration is imperative

    Seasonal relapsing minimal change disease: a novel strategy for avoiding long-term immunosuppression.

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    BACKGROUND: We describe the case of a young woman with seasonal allergic rhinitis who presented with signs of a lower respiratory tract infection, acute renal impairment and the nephrotic syndrome, demonstrated on biopsy to be due to minimal change disease (MCD) with acute tubular injury. Following initiation of high-dose corticosteroids, her respiratory symptoms and renal impairment improved, and the nephrotic syndrome went rapidly into remission, but relapsed, off treatment, in a seasonal fashion. MANAGEMENT: In view of significant side effects related to corticosteroids, relapses were treated with the calcineurin inhibitor tacrolimus with excellent effect, but the patient was keen to avoid the complications of medium-term immunosuppression and so the drug was weaned early. She relapsed for the second time, whilst off tacrolimus, at the same time of year as at her initial presentation. In subsequent years we have successfully managed this patient with seasonal relapsing MCD with seasonal prophylactic tacrolimus therapy. DISCUSSION: We discuss the natural history of MCD and treatment options and demonstrate the utility of a clear understanding of the natural history of the condition in order to predict disease relapse and tailor therapy to the individual patient

    Neutrino-driven Explosions

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    The question why and how core-collapse supernovae (SNe) explode is one of the central and most long-standing riddles of stellar astrophysics. A solution is crucial for deciphering the SN phenomenon, for predicting observable signals such as light curves and spectra, nucleosynthesis, neutrinos, and gravitational waves, for defining the role of SNe in the evolution of galaxies, and for explaining the birth conditions and properties of neutron stars (NSs) and stellar-mass black holes. Since the formation of such compact remnants releases over hundred times more energy in neutrinos than the SN in the explosion, neutrinos can be the decisive agents for powering the SN outburst. According to the standard paradigm of the neutrino-driven mechanism, the energy transfer by the intense neutrino flux to the medium behind the stagnating core-bounce shock, assisted by violent hydrodynamic mass motions (sometimes subsumed by the term "turbulence"), revives the outward shock motion and thus initiates the SN blast. Because of the weak coupling of neutrinos in the region of this energy deposition, detailed, multidimensional hydrodynamic models including neutrino transport and a wide variety of physics are needed to assess the viability of the mechanism. Owing to advanced numerical codes and increasing supercomputer power, considerable progress has been achieved in our understanding of the physical processes that have to act in concert for the success of neutrino-driven explosions. First studies begin to reveal observational implications and avenues to test the theoretical picture by data from individual SNe and SN remnants but also from population-integrated observables. While models will be further refined, a real breakthrough is expected through the next Galactic core-collapse SN, when neutrinos and gravitational waves can be used to probe the conditions deep inside the dying star. (abridged)Comment: Author version of chapter for 'Handbook of Supernovae,' edited by A. Alsabti and P. Murdin, Springer. 54 pages, 13 figure

    Advanced obstacle avoidance for a laser based wheelchair using optimised Bayesian neural networks.

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    In this paper we present an advanced method of obstacle avoidance for a laser based intelligent wheelchair using optimized Bayesian neural networks. Three neural networks are designed for three separate sub-tasks: passing through a door way, corridor and wall following and general obstacle avoidance. The accurate usable accessible space is determined by including the actual wheelchair dimensions in a real-time map used as inputs to each networks. Data acquisitions are performed separately to collect the patterns required for specified sub-tasks. Bayesian frame work is used to determine the optimal neural network structure in each case. Then these networks are trained under the supervision of Bayesian rule. Experiment results showed that compare to the VFH algorithm our neural networks navigated a smoother path following a near optimum trajectory
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