Utility of Rasa Aushadhi in Nasa Roga

Shalakya Tantra deals with the vital sense organs located above the Jatru, also considered as the Uttamanga in Ayurveda. Detailed description of diseases of nose and paranasal sinuses are explained in the Ayurvedic classics, titled as ‘Nasa Rogas’. Diseases of nose are among the commonest problems in the otorhinolaryngology. Depending upon the cause and severity nasal diseases can be temporary or persistent, unilateral or bilateral, of recent origin or long termed. The commonly seen causes include common cold, allergy, infections of nose and PNS, defects of nasal septum and other structures, inflammatory conditions of nose and PNS, foreign body, benign and malignant tumours, polypi, enlarged adenoid, trauma etc. And the commonly seen diseases of nose are allergic rhinitis, chronic sinusitis, rhino sinusitis, rhinitis sicca etc. For the management of Nasa Rogas, Shamana or Shodhana methods of treatments can be adopted. As Shodhana line of treatment requires the consideration of Rithu (season), Pathya (diet), and other restrictions Shamana line of treatment can be adopted so, it can be used irrespective of all seasons, with minimal diet and other restrictions. Rasa Aushadis are said to be best among Shamana Aushadhi. Because Rasa Aushadhi offers potent immunization, has rejuvenating effect and is used in the treatment of the diseases as they have low dose, swift action, long shelf life, palatability and high efficacy. &nbsp

SSDL: Self-Supervised Domain Learning for Improved Face Recognition

Face recognition in unconstrained environments is challenging due to variations in illumination, quality of sensing, motion blur and etc. An individual’s face appearance can vary drastically under different conditions creating a gap between train (source) and varying test (target) data. The domain gap could cause decreased performance levels in direct knowledge transfer from source to target. Despite fine-tuning with domain specific data could be an effective solution, collecting and annotating data for all domains is extremely expensive. To this end, we propose a self-supervised domain learning (SSDL) scheme that trains on triplets mined from unlabelled data. A key factor in effective discriminative learning, is selecting informative triplets. Building on most confident predictions, we follow an “easy-to-hard” scheme of alternate triplet mining and self-learning. Comprehensive experiments on four different benchmarks show that SSDL generalizes well on different domains

ClusterFace: Joint Clustering and Classification for Set-Based Face Recognition

Deep learning technology has enabled successful modeling of complex facial features when high quality images are available. Nonetheless, accurate modeling and recognition of human faces in real world scenarios `on the wild' or under adverse conditions remains an open problem. When unconstrained faces are mapped into deep features, variations such as illumination, pose, occlusion, etc., can create inconsistencies in the resultant feature space. Hence, deriving conclusions based on direct associations could lead to degraded performance. This rises the requirement for a basic feature space analysis prior to face recognition. This paper devises a joint clustering and classification scheme which learns deep face associations in an easy-to-hard way. Our method is based on hierarchical clustering where the early iterations tend to preserve high reliability. The rationale of our method is that a reliable clustering result can provide insights on the distribution of the feature space, that can guide the classification that follows. Experimental evaluations on three tasks, face verification, face identification and rank-order search, demonstrates better or competitive performance compared to the state-of-the-art, on all three experiments

Perfluorooctanoate suppresses spheroid attachment on endometrial epithelial cells through peroxisome proliferator-activated receptor alpha and down-regulation of Wnt signaling

Exposure of animals to perfluorooctanoic acid (PFOA), a surfactant used in emulsion polymerization processes causes early pregnancy loss, delayed growth and development of fetuses. The mechanisms of action are largely unknown. We studied the effect of PFOA on implantation using an in vitro spheroid-endometrial cell co-culture model. PFOA (10-100μM) significantly reduced Jeg-3 spheroid attachment on RL95-2 endometrial cells. PFOA also suppressed β-catenin expression in Jeg-3 cells. The Wnt agonist Wnt3a stimulated β-catenin expression in Jeg-3 cells and reversed the PFOA suppression of the spheroid attachment. The putative PFOA receptors (PPARα, β, γ) present in both cell lines were not affected by PFOA (0.01-100μM). The PPARα antagonist MK886 restored the β-catenin and E-cadherin expression levels in Jeg-3 cells and reversed the suppression of the spheroid attachment caused by PFOA. Taken together, PFOA suppresses spheroid attachment through PPARα and Wnt signaling pathways via down-regulation of β-catenin and E-cadherin expression.postprin

Human chorionic gonadotropin stimulates spheroid attachment on fallopian tube epithelial cells through the mitogen-activated protein kinase pathway and down-regulation of olfactomedin-1

OBJECTIVE: To study the effect of human chorionic gonadotropin (hCG) on olfactomedin-1 (Olfm1) expression and spheroid attachment in human fallopian tube epithelial cells in vitro. DESIGN: Experimental study. SETTING: Reproductive biology laboratory. PATIENT(S): Healthy non-pregnant women. INTERVENTION(S): No patient interventions. MAIN OUTCOME MEASURE(S): Luteinizing hormone/chorionic gonadotropin receptor (LHCGR) and Olfm1 expression in fallopian tube epithelium cell line (OE-E6/E7 cells). OE-E6/E7 cells treated with hCG, U0126 extracellular signal-regulated kinase (ERK) inhibitor, or XAV939 Wnt/β-catenin inhibitor were analyzed by Western blotting, real-time polymerase chain reaction, and in vitro spheroid attachment assay. RESULT(S): Human chorionic gonadotropin increased spheroid attachment on OE-E6/E7 cells through down-regulation of Olfm1 and activation of Wnt and mitogen-activated protein kinase (MAPK) signaling pathways. U0126 down-regulated both MAPK and Wnt/β-catenin signaling pathways and up-regulated Olfm1 expression. XAV939 down-regulated only the Wnt/β-catenin signaling pathway but up-regulated Olfm1 expression. CONCLUSION(S): Human chorionic gonadotropin activated both ERK and Wnt/β-catenin signaling pathways and enhanced spheroid attachment on fallopian tube epithelial cells through down-regulation of Olfm1 expression.postprin

Magnetocrystalline effects on the subsurface hydrogen diffusion in γ-Fe(001)

The effect of magnetism on hydrogen adsorption and subsurface diffusion through face-centred cubic (fcc) γ-Fe(001) was investigated using spin-polarised density functional theory (s-DFT). The non-magnetic (NM), ferromagnetic (FM), and antiferromagnetic single (AFM1) and double layer (AFMD) structures were considered. For each magnetic state, the hydrogen preferentially adsorbs at the fourfold site, with adsorption energies of 4.07, 4.12, 4.03 and 4.05 eV/H atom for the NM, FM, AFM1 and AFMD structures. A total barrier of 1.34, 0.90, 1.32 and 1.25 eV and a bulk-like diffusion barrier of 0.6, 0.2, 0.4 and 0.3 eV were calculated for the NM, FM, AFM1 and AFMD magnetic states. The Fe atoms nearest to the H atom exhibited a reduced magnetic moment, whereas the next-nearest neighbour Fe atoms exhibited a non-negligible local perturbation in the magnetic moment. The presence of magnetically ordered structures has a minimal influence on the minimum energy path for H diffusion through the lattice and on the adsorption of H atoms on the Fe(001) surface, but we computed a significant reduction of the bulk-like diffusion barriers with respect to the non-magnetic state of fcc γ-Fe

Kinetic Energy and Angular Distributions of He and Ar Atoms Evaporating from Liquid Dodecane.

We report both kinetic energy and angular distributions for He and Ar atoms evaporating from C12H26. All results were obtained by performing molecular dynamics simulations of liquid C12H26 with around 10-20 noble gas atoms dissolved in the liquid and by subsequently following the trajectories of the noble gas atoms after evaporation from the liquid. Whereas He evaporates with a kinetic energy distribution of (1.05 ± 0.03) × 2RT (corrected for the geometry used in experiments: (1.08 ± 0.03) × 2RT, experimentally obtained value: (1.14 ± 0.01) × 2RT), Ar displays a kinetic energy distribution that better matches a Maxwell-Boltzmann distribution at the temperature of the liquid ((0.99 ± 0.04) × 2RT). This behavior is also reflected in the angular distributions, which are close to a cosine distribution for Ar but slightly narrower, especially for faster atoms, in the case of He. This behavior of He is most likely due to the weak interaction potential between He and the liquid hydrocarbon

Substrate dependence of graphene reactivity towards hydrogenation

The ability to functionalize graphene with several methods, such as radical reactions, cyclo-additions, hydrogenation, and oxidations, allows this material to be used in a large range of applications. In this framework, it is essential to be able to control the efficiency and stability of the functionalization process—this requires understanding how the graphene reactivity is affected by the environment, including the substrate. In this work we provide an insight on the substrate dependence of graphene reactivity towards hydrogenation by comparing three different substrates: silicon, hexagonal boron nitride (h-BN), and molybdenum disulfide (MoS2). Although MoS2 and h-BN have flatter surfaces than silicon, we found that the H coverage of graphene on h-BN is about half of the H coverage on graphene on both silicon and MoS2. Therefore, graphene shows strongly reduced reactivity towards hydrogenation when placed on h-BN. The difference in hydrogenation reactivity between h-BN and MoS2 may indicate a stronger van der Waals force between graphene and h-BN, compared to MoS2, or may be related to the chemical properties of MoS2, which is a well-known catalyst for hydrogen evolution reactions

Evaluation of a computer-assisted cognitive remediation program for young people with psychosis: A pilot study

202101 bcrcVersion of RecordSelf-fundedPublishe