Remote preconditioning by aortic constriction: affords cardioprotection as classical or other remote ischemic preconditioning? Role of iNOS

Dose remote preconditioning by aortic constriction (RPAC) affords cardioprotection similar to classical or other remote ischemic preconditioning stimulus? Moreover study was also designed to investigate role of inducible nitric oxide synthase in remote preconditioning by aortic constriction. There are sufficient evidences that "ischemic preconditioning" has surgical applications and afford clinically relevant cardioprotection. Transient occlusion of circumflex artery, renal artery, limb artery or mesenteric artery preconditions the myocardium against ischemia reperfusion injury in case of ischemic heart disease leading to myocardial infraction. Here abdominal aorta was selected to produce RPAC. Four episodes of Ischemia-reperfusion of 5 min each to abdominal aorta produced RPAC by assessment of infract size, LDH and CK. These studies suggest RPAC produced acute (FWOP) and delayed (SWOP) cardioprotective effect. RPAC demonstrated a significant decrease in Ischemia-reperfusion induced release of LDH, CK and extent of myocardial infract size. L-NAME (10 mg/Kg i.v.), Aminoguanidine (150 mg/Kg s.c.), Aminoguanidine (300 mg/Kg s.c.), S-methyl isothiourea (3 mg/Kg i.v.), 1400W (1 mg/Kg i.v.) administered 10 min. before global ischemia reperfusion produced no marked effect. Aminoguanidine (150 mg/Kg s.c.), Aminoguanidine (300 mg/Kg s.c.), S-methyl isothiourea (3 mg/Kg i.v.), 1400W (1 mg/Kg i.v.) pretreatment after RPAC produced no significant effect on acute RPAC induced decrease in LDH, CK and infract size, whereas L-NAME (10 mg/Kg i.v.) increased RPAC induced decrease in LDH, CK and infract size. Most interesting observation is in delayed RPAC, where all NOS inhibitors pretreatment attenuate RPAC induced decrease in LDH, CK and infract size. In conclusions, "Remote preconditioning by aortic constriction" (RPAC) affords cardioprotection similar to classical or other remote ischemic preconditioning stimulus. Moreover, late or delayed phase of RPAC has been mediated by inducible nitric oxide synthase (iNOS) whereas it has not involved in acute RPAC

Study on the Crystal Structure and Microstructure Evolution of Shock-processed Titanium Powder

Titanium powder was rapidly solidified by using shock-wave consolidation technique. The critical parameters were controlled by intrumented detonics and pin-oscillography. The compacted specimens were investigated for crystal structure and microstructural strengthening by using standard diagnostic techniques. The density of the final product was found to be greater than 96% of the theoretical value. X-ray diffraction pattern reveals intact crystalline structure without the presence of any undesired phases. The particle size reduction indicated by XRD was supported by laser diffraction based particle size analyzer. Results from energy dispersive spectroscopy ruled out the possibility of any segregation within the compacts. Scanning electron microscopy showed crack-free, voids-free, melt-free, fracture-less compacts of titanium with a unidirectional dendrite orientation without any grain-growth

Management of distal unstable radius fractures with locking distal radius plates: a retrospective study

Background: Distal radius fractures that are unstable are challenging to treat. The locking distal radius plate screws is a superior alternative to the other forms of treatment (external fixator and K pin). The purpose of this study was to provide the radiographic and functional clinical outcomes of patients who had locking distal radius plate screws treatment. This study's objective was to clinically assess the results of using a locking distal radius plate system to treat radius fractures.Methods: 31 patients with radius fractures are included in this retrospective clinical trial. They are all treated with a locking distal radius system made by Kaulmed Private Limited in Sonipat, Haryana, India. The patients were treated with variable angle locking distal radius plates that includes 2.4 mm KL-8 variable angle two column volar distal radius plates and 2.4 mm KL-8 variable angle volar rim distal radius plates. There were 31 patients consisting of 24 male and 07 female, with an average age of 44 years. The fractures were categorized based on AO classification and pre-operative fitness was assessed using American society of anaesthesiologist (ASA grade). The patients were assessed clinically, radiologically and functionally using visual analogue scale (VAS), post-operative radiographs and measuring grip strength and weight bearing respectively.Results: Surgery was performed on 31 patients with at-least three post-operative follow-up visits in 180 days. No patient in any group complained after the final follow up about any major complications or hardware problems, and every patient's bone union was achieved successfully. Radiological outcomes also showed proper union in 6-7 weeks.Conclusions: Distal radius volar locking plates provide effective results in correcting distal radius anatomy

Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN

Recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid. This paper presents an application of wavelet transforms to detect the faults and further to perform classification by supervised learning paradigm. Different architectures of ANN aretested with the statistical attributes of a wavelet transform of a voltage signal as input features and binary digits as outputs. The proposed supervised learning module is tested on a transmission network. It is observed that ANN architecture performs satisfactorily when it is compared with the simulation results. The transmission network is simulated on Matlab. The performance indices Mean Square Error (MSE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Sum Square Error (SSE) are used to determine the efficacy of the neural network

ANTIULCER ACTIVITY OF CONTROLLED RELEASE FORMULATION CONTAINING AQUEOUS EXTRACT OF ACACIA CATECHU WILLD ON RODENT MODELS

Objective: To study the Antiulcer activity of aqueous extract of acacia catechu willd on rodent models by controlled release formulation.Methods: Microspheres were prepared by solvent evapoaration method and were evaluated for various parameters like SEM, stability and in vitro relese. And acacia catechu willd loaded microspheres were evaluated for in vivo study involving Gastric ulceration in rats was induced by Ethanol/HCl. Ulcer genic effect (Ulcer Index), pH and Total acidity, Histopathological studies.Results: Results indicated that Acacia catechu willd microspheres contains some active constituents like flavanoid which are responsible for its anti ulcer activity. Also it was observed aqueous extract loaded microspheres showed maximum activity was found (200 mg/kg) with standard Cimetidine (100 mg/kg) also, the results revealed that aqueous extract microspheres at 200 mg/kg had reduced ulcer incidence significantly, when compared to the control as evident by decrease in ulcer score in the model.Conclusion: Based on the result it can be concluded that microspheres loaded with aqueous extracts of Acacia catechu willd produced promising antiulcer activity and were safe

IceBreaker: Solving Cold Start Problem for Video Recommendation Engines

Internet has brought about a tremendous increase in content of all forms and, in that, video content constitutes the major backbone of the total content being published as well as watched. Thus it becomes imperative for video recommendation engines such as Hulu to look for novel and innovative ways to recommend the newly added videos to their users. However, the problem with new videos is that they lack any sort of metadata and user interaction so as to be able to rate the videos for the consumers. To this effect, this paper introduces the several techniques we develop for the Content Based Video Relevance Prediction (CBVRP) Challenge being hosted by Hulu for the ACM Multimedia Conference 2018. We employ different architectures on the CBVRP dataset to make use of the provided frame and video level features and generate predictions of videos that are similar to the other videos. We also implement several ensemble strategies to explore complementarity between both the types of provided features. The obtained results are encouraging and will impel the boundaries of research for multimedia based video recommendation systems