1,090 research outputs found

    Adaptive Protocols for Interactive Communication

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    How much adversarial noise can protocols for interactive communication tolerate? This question was examined by Braverman and Rao (IEEE Trans. Inf. Theory, 2014) for the case of "robust" protocols, where each party sends messages only in fixed and predetermined rounds. We consider a new class of non-robust protocols for Interactive Communication, which we call adaptive protocols. Such protocols adapt structurally to the noise induced by the channel in the sense that both the order of speaking, and the length of the protocol may vary depending on observed noise. We define models that capture adaptive protocols and study upper and lower bounds on the permissible noise rate in these models. When the length of the protocol may adaptively change according to the noise, we demonstrate a protocol that tolerates noise rates up to 1/31/3. When the order of speaking may adaptively change as well, we demonstrate a protocol that tolerates noise rates up to 2/32/3. Hence, adaptivity circumvents an impossibility result of 1/41/4 on the fraction of tolerable noise (Braverman and Rao, 2014).Comment: Content is similar to previous version yet with an improved presentatio

    Warkany Syndrome: A Rare Case Report

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    Warkany syndrome 2 or Trisomy 8 mosaicism (T8M) is a well-described, but very rare, chromosomal abnormality. The phenotype is extremely variable ranging from normal individual to severe malformation syndrome and because of this variability, this condition often goes undiagnosed. We report trisomy 8 mosaicism (T8M) in a 3-year-old boy evaluated for facial dysmorphism and delayed development

    Headache, seizures and loss of consciousness in an elderly male following groin hernia surgery

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    Headache after lumbar puncture is a common occurrence and have a benign course in the majority. In rare cases, it can be a mani­festation of rare but potentially life-threatening intracranial complications. We discuss a case of 65 years male patient who was operated for left inguinal hernia under spinal anaesthesia, had persistent headache partial response to conservative measures developed one episode of seizures and lapsed into altered sensorium. Imaging findings were suggestive of extensive left frontal-temporoparietal acute SDH with mass effect and midline shift. The hematoma was evacuated and the patient recovered well. Prolonged and persistent post-dural puncture headache complicated by atypical neurological deterioration following spinal anaesthesia should prompt the physician to consider the possibility of intracranial complications and to seek immediate radiological investigations

    Cirsoid Aneurysm with Impending Rupture

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    Hyperacute Extradural Hematoma Mimickingacute Subdural Hematoma

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    Younger Neurosurgoens —Ambitions, Evircilions or Dilemma?

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    Instructions to Authors

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    An abstract (not exceeding 300 words) should be provided on a separate sheet. Abstract should be structured (except for case reports) and include objective, methods, results and conclusion

    Design Simulation and Assessment of Computer Based Cancer Diagnosis Accuracy using ART 1.0 Algorithm

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    Today Cancer is spreading heavily and become the most dangerous disease in the world. This disease causes death if not diagnoses before the major stage. Small changes or illness in the human body may transform to the cancer in the body. The main thing in this disease is it is not easily detected in its earlier stage. So this causes the aim to design a computer operated system that can make distinguish between benign (non-cancerous) and malignant (cancerous) mammogram. The proposed system helps doctors to increase the diagnosis accuracy. The above propose system shall be simulated by MATLAB. The ART 1.0 algorithm shall be studied and modified to improve the accuracy of existing ART 1.0 system. The simulation shall be done by obtaining cancer data set from UCI repository. The reason behind choosing ART algorithm because of its characteristic to work on three phases i.e., Recognition, Comparison, Search Phase.  The winning neuron is obtained by finding the dot product of input and weight vector. The neuron having largest dot product be the winner.&nbsp
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