Evaluation of anxiolytic activity of encapsulated flax seed oil alone and as an adjuvant in Swiss Albino mice

Background: Anxiety is a psychological and physiological state characterized by somatic, emotional, cognitive, and behavioural components with displeasing feeling of fear and concern. Among all the antianxiety drugs benzodiazepines are commonly employed drugs for the treatment but they do have limitations. Considering the high prevalence of anxiety disorders and lack of an ideal anxiolytic drug, search for better anxiolytic drugs continue. Medicinal plants are an inexhaustible source and continue to get explored in the search for new drugs.Methods: Antianxiety activity of Flax seed oil was evaluated in mice using Light-Dark Arena model and Elevated Plus Maze model. Encapsulated Flax seed oil (10ml/kg and 20ml/kg), Diazepam (1mg/kg), Normal saline (10ml/kg) and combination of Encapsulated Flax seed oil and Diazepam (10ml/kg + 1mg/kg) were given orally to the randomly divided 5 groups of 6 animals each. Number of entries and time spent in light arena of Light-Dark Arena model and in open arm of Elevated Plus Maze model were noted and compared among the 5 groups. Observations were analysed using ANOVA and Post hoc Tukey’s test.Results: Encapsulated Flax seed oil alone as well as an adjuvant to Diazepam showed significantly increased number of entries and time spent in light arena of Light-Dark Arena model (<0.05). It also showed significantly (<0.05) increased time spent but not number of entries in open arm of Elevated Plus Maze model.Conclusions: Encapsulated Flax seed oil showed anxiolytic property in Light-Dark arena model and Elevated plus maze model

Dog Breed Identification using ResNet Model

As dogs are domestic animals due to the many numbers of dog breeds available around the world. It’s hard to find out the exact dog breed name for a common person. There are many techniques available to identify dog breed. But the proposed work introduced the new technique called RESNET which is the part of CNN to classify dog. RESNET is used to identify images. It helps to perform different tasks on larger datasets. Identification of different dogs is one of the important applications of Convolutional Neural networks. Since the identification of dog breeds is very difficult because they spread in a large number and it makes very hard for a person to identify or classify dogs. With the help of Keras and TensorFlow, a dataset is created, tested, and trained for the detection of dog breeds by using RESNET. Around 120 different dog breeds are present in the dataset which consist of 20600 images of dogs. From this paper, load these images and convert them into a NumPy array and normalize them. Then,100 epochs were used with a batch size of 128 to achieve the best accuracy. The model is saved for further process to create a web application to identify the dog

Anticonvulsant activity of gap-junctional blocker carbenoxolone in albino rats

Background: Gap junctions (GJs) are clusters of channels that connect the interiors of adjoining neurons and mediate electrical/electrotonic coupling by transfer of ions and small molecules. Electrotonic coupling between principal neurons via GJs is increasingly recognized as one of the mechanisms in the pathogenesis of the abnormal neuronal synchrony that occurs during seizures. Carbenoxolone the succinyl ester of glycyrrhetinic acid obtained from liquorice has been shown to have the property of blocking gap junctional intercellular communication. The objectives were to study if carbenoxolone has in-vivo anticonvulsive activity in pentylenetetrazole (PTZ) and maximal electroshock (MES) seizure models and to probe the functional role of GJs in seizures.Methods: Carbenoxolone was tested for anticonvulsive effect in albino rats subjected to seizures by the PTZ and MES at three doses 100 m/kg, 200 m/kg, 300 m/kg. In the PTZ model parameters observed were seizure protection, seizure latency and seizure duration. In the MES model parameters observed were seizure protection and seizure duration.Results: The results showed that the carbenoxolone has anticonvulsant activity in both PTZ and MES induced seizures with better protection in the PTZ induced seizures. In the PTZ model carbenoxolone produced a statistically significant increase in seizure latency, decrease in seizure duration and seizure protection. In the MES model carbenoxolone produced a statistically significant decrease in seizure duration.Conclusions: Carbenoxolone has in-vivo anticonvulsive effect and could be useful in both petitmal (absence) seizures and grand mal (generalized tonic-clonic epilepsy) seizures. The protective effect of carbenoxolone could be due to blockade of GJ channels that mediate electro tonic coupling and thereby prevent the neural synchronization that is characteristic of seizures. The study also supports the view that GJs have a functional role in the electrophysiology of seizures and GJ blockers have potential as a new class of antiepileptic drugs

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

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Measurement of nuclear modification factors of gamma(1S)), gamma(2S), and gamma(3S) mesons in PbPb collisions at root s(NN)=5.02 TeV

The cross sections for ϒ(1S), ϒ(2S), and ϒ(3S) production in lead-lead (PbPb) and proton-proton (pp) collisions at √sNN = 5.02 TeV have been measured using the CMS detector at the LHC. The nuclear modification factors, RAA, derived from the PbPb-to-pp ratio of yields for each state, are studied as functions of meson rapidity and transverse momentum, as well as PbPb collision centrality. The yields of all three states are found to be significantly suppressed, and compatible with a sequential ordering of the suppression, RAA(ϒ(1S)) > RAA(ϒ(2S)) > RAA(ϒ(3S)). The suppression of ϒ(1S) is larger than that seen at √sNN = 2.76 TeV, although the two are compatible within uncertainties. The upper limit on the RAA of ϒ(3S) integrated over pT, rapidity and centrality is 0.096 at 95% confidence level, which is the strongest suppression observed for a quarkonium state in heavy ion collisions to date. © 2019 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3.Peer reviewe

Electroweak production of two jets in association with a Z boson in proton-proton collisions root s =13 TeV

A measurement of the electroweak (EW) production of two jets in association with a Z boson in proton-proton collisions at root s = 13 TeV is presented, based on data recorded in 2016 by the CMS experiment at the LHC corresponding to an integrated luminosity of 35.9 fb(-1). The measurement is performed in the lljj final state with l including electrons and muons, and the jets j corresponding to the quarks produced in the hard interaction. The measured cross section in a kinematic region defined by invariant masses m(ll) > 50 GeV, m(jj) > 120 GeV, and transverse momenta P-Tj > 25 GeV is sigma(EW) (lljj) = 534 +/- 20 (stat) fb (syst) fb, in agreement with leading-order standard model predictions. The final state is also used to perform a search for anomalous trilinear gauge couplings. No evidence is found and limits on anomalous trilinear gauge couplings associated with dimension-six operators are given in the framework of an effective field theory. The corresponding 95% confidence level intervals are -2.6 <cwww/Lambda(2) <2.6 TeV-2 and -8.4 <cw/Lambda(2) <10.1 TeV-2. The additional jet activity of events in a signal-enriched region is also studied, and the measurements are in agreement with predictions.Peer reviewe

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

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