Polynomial Convergence of Infeasible-Interior-Point Methods Over Symmetric Cones

Polynomial Convergence of Infeasible-Interior-Point Methods Over Symmetric Cone

Critical analysis and unique management of Gridhrasi w.s.r. to Sciatica - A Case Report

Gridhrasi (Sciatica) is a disorder in which low back pain is found, that spreads through the hip, to the back of the thigh and down the inside of the leg. Mechanical low back pain (LBP) remains the second most common symptom related reason for seeing a physician. 85% of total population will experience an episode of mechanical LBP at some point during their lifetime. Fortunately, the LBP resolves for the vast majority within 2-4 weeks. There are many causes for low back pain, however true sciatica is a symptom of inflammation or compression of the sciatica nerve. The sciatica nerve carries impulses between nerve roots in the lower back and the muscles and nerve of the buttocks, thighs and lower legs. Compression of a nerve root often occurs as a result of damage to one of the discs between the vertebrae. In some cases, sciatic pain radiate from other nerves in the body. This is called referred pain. Pain associated with sciatica often is severe, sharp and shooting. It may be accompanied by other symptom, such as numbness, tingling, weakness and sensitivity to touch. There is only conservative treatment giving short term relief in pain or surgical intervention with side effect. But these are not successful and therefore those who are suffering from this are always in search of result oriented remedy. Walking distance and SLR test were taken for assessment parameter, VAS score was adopted for pain. Before treatment patient was not able to walk even 4 to 5 steps due to severe pain, was brought on stretcher and his SLR was 30° of right side. After 22 days of treatment he was able to walk up to 500 meters without any difficulty, SLR was changed to 60° and patient had got 80 % relief in pain. This case report showed that Ayurvedic protocol is potent and safe in the treatment of Gridhrasi

Antitumor and antioxidant potential of Tragia Plukenetii R.Smith on Ehrlich ascites carcinoma in mice

This investigation aims to evaluate the antitumour and antioxidant potential of the ethanol extract of Tragia Plukenetii R.Smith (ETP) on Ehrlich ascites carcinoma (EAC) tumor model. Tumor was inducedin mice by intraperitoneal injection of EAC cells (2x106 cells/mouse). Ethanol extract of T. Plukenetii (ETP) was administered to the experimental animals at the dose levels of 100, 200 and 300 mg/kg/day after 24 h of tumour inoculation. The antitumour effect of ETP was evaluated by assessing in vitro cytotoxicity, survival time, hematological and antioxidant parameters. Oral administration of ETPincreased the survival time of the EAC bearing mice. The ETP brought back the altered levels of the hematological and antioxidant parameters in a dose dependent manner in EAC bearing mice. The results were comparable to that of the result obtained from the animals treated with the standard drug 5-flurouracil (20 mg/kg.bw). Thus present study revealed that ETP possessed significant antitumor and antioxidant activity

Pain management in Gridhrasi through Ayurveda - An Observational Study

Gridhrasi is a Shula Pradhana Vata Nanatmaja Vyadhi which is characterized by the Kramat Shula in the Prushtha Bhaaga of Sphik, Kati, Uru, Jaanu Jangha and Pada Pradesha. It is corelated with Sciatica based on the aetiology and symptomatology. This disease is mainly caused due the improper postures and the nature of the work. The main challenge is the management of pain. In Modern Science this condition is managed by the administration of Analgesics and in the later conditions Surgery will be advised with no definite relief. Shodhana, Siravyadha, Basti, Agni Karma are the treatment modalities have been mentioned in the classics. Here the study is conducted to evaluate the efficacy of Siravyadha in the management of the Shula in Gridhrasi with a successful outcome

Generalization of Linearized Gouy-Chapman-Stern Model of Electric Double Layer for Nanostructured and Porous Electrodes: Deterministic and Stochastic Morphology

We generalize linearized Gouy-Chapman-Stern theory of electric double layer for nanostructured and morphologically disordered electrodes. Equation for capacitance is obtained using linear Gouy-Chapman (GC) or Debye-$\rm{\ddot{u}}$ckel equation for potential near complex electrode/electrolyte interface. The effect of surface morphology of an electrode on electric double layer (EDL) is obtained using "multiple scattering formalism" in surface curvature. The result for capacitance is expressed in terms of the ratio of Gouy screening length and the local principal radii of curvature of surface. We also include a contribution of compact layer, which is significant in overall prediction of capacitance. Our general results are analyzed in details for two special morphologies of electrodes, i.e. "nanoporous membrane" and "forest of nanopillars". Variations of local shapes and global size variations due to residual randomness in morphology are accounted as curvature fluctuations over a reference shape element. Particularly, the theory shows that the presence of geometrical fluctuations in porous systems causes enhanced dependence of capacitance on mean pore sizes and suppresses the magnitude of capacitance. Theory emphasizes a strong influence of overall morphology and its disorder on capacitance. Finally, our predictions are in reasonable agreement with recent experimental measurements on supercapacitive mesoporous systems

Numerical processing in the human parietal cortex during experimental and natural conditions

Human cognition is traditionally studied in experimental conditions wherein confounding complexities of the natural environment are intentionally eliminated. Thus, it remains unknown how a brain region involved in a particular experimental condition is engaged in natural conditions. Here we use electrocorticography to address this uncertainty in three participants implanted with intracranial electrodes and identify activations of neuronal populations within the intraparietal sulcus region during an experimental arithmetic condition. In a subsequent analysis, we report that the same intraparietal sulcus neural populations are activated when participants, engaged in social conversations, refer to objects with numerical content. Our prototype approach provides a means for both exploring human brain dynamics as they unfold in complex social settings and reconstructing natural experiences from recorded brain signals