Crossover from Diffusive to Superfluid Transport in Frustrated Magnets

We investigate the spin transport across the magnetic phase diagram of a frustrated antiferromagnetic insulator and uncover a drastic modification of the transport regime from spin diffusion to spin superfluidity. Adopting a triangular lattice accounting for both nearest neighbor and next-nearest neighbor exchange interactions with easy-plane anisotropy, we perform atomistic spin simulations on a two-terminal configuration across the full magnetic phase diagram. We found that as long as the ground state magnetic moments remain in-plane, irrespective of whether the magnetic configuration is ferromagnetic, collinear or non-collinear antiferromagnetic, the system exhibits spin superfluid behavior with a device output that is independent on the value of the exchange interactions. When the magnetic frustration is large enough to compete with the easy-plane anisotropy and cant the magnetic moments out of the plane, the spin transport progressively evolves towards the diffusive regime. The robustness of spin superfluidity close to magnetic phase boundaries is investigated and we uncover the possibility for {\em proximate} spin superfluidity close to the ferromagnetic transition.Comment: 9 pages, 7 figure

3D Deep Learning on Medical Images: A Review

The rapid advancements in machine learning, graphics processing technologies and availability of medical imaging data has led to a rapid increase in use of deep learning models in the medical domain. This was exacerbated by the rapid advancements in convolutional neural network (CNN) based architectures, which were adopted by the medical imaging community to assist clinicians in disease diagnosis. Since the grand success of AlexNet in 2012, CNNs have been increasingly used in medical image analysis to improve the efficiency of human clinicians. In recent years, three-dimensional (3D) CNNs have been employed for analysis of medical images. In this paper, we trace the history of how the 3D CNN was developed from its machine learning roots, give a brief mathematical description of 3D CNN and the preprocessing steps required for medical images before feeding them to 3D CNNs. We review the significant research in the field of 3D medical imaging analysis using 3D CNNs (and its variants) in different medical areas such as classification, segmentation, detection, and localization. We conclude by discussing the challenges associated with the use of 3D CNNs in the medical imaging domain (and the use of deep learning models, in general) and possible future trends in the field.Comment: 13 pages, 4 figures, 2 table

SCIENTIFIC VALIDATION AND STANDARDIZATION OF PARPATAKA AN AYURVEDIC DRUG WITH RESPECT TO FUMARIA INDICA

Objective: Fumaria indica is an essential curative herb and asserted as a prevalent weed across the plains of India. The entire plant is popularly employed in conventional systems of medicine for its therapeutic activities like anthelmintic, diuretic, diaphoretic, laxative, purging and stomachic. The entire plant is regarded to have therapeutical purposes in Ayurvedic and Unani systems of medicine and is employed in the preparation of important Ayurvedic formulation Parpataka. In Unani systems of medicine, it is used as shahtara. This contemporary study is intended to authenticate and validate the species Fumaria indica with respect to Parpataka drug. Methods: The chief objective of this contemporary research work is to assess the various pharmacognostic properties like Macroscopical, Microscopical, Physiochemical and Fluorescence studies. Microscopical studies include cell structure and their arrangement, Physicochemical parameter s include loss on drying, total ash value, acid insoluble ash, water-insoluble ash, various extractive values etc. Qualitative tests for various functional groups were also carried out. Results: The microscopical characters of leaf, stem and roots, physicochemical, preliminary phytochemical profiles were established. Conclusion: The pharmacognostical screening on Fumaria indica is significant data for the identification and to determine the quality and purity of the plant material in future reviews

STANDARDIZATION OF BALAMULA CHURNA (SIDA CORDIFOLIA L. ROOT POWDER)

Objective: In this study, an attempt was made to generate information based on, physicochemical parameter preliminary phytochemical screening and HPTLC data needed for proper identification and authentication of Balamula Churna. Methods: The physicochemical parameters such as water-soluble extractive, alcohol soluble extractive and loss on drying at 105 °C, total ash and acid insoluble ash were determined according to standard methods. HPTLC studies were conducted and Rf values were documented. Results: Physicochemical parameter value were documented as pH (6.81%), LOD (7.5%), water-soluble extractive value (6.32%), alcohol soluble extractive value (5.92%) total Ash (9.00%) and Acid Insoluble Ash (1.60%). Preliminary phytochemical screening reveals the presence of glycoside, alkaloid, carbohydrate, phenol, flavonoid and saponin. HPTLC screening showed the presence of significant phytoconstituents with Rf value 0.02, 0.27, 0.34 and 0.96. Conclusion: All the results obtained from this study can be helpful in evaluation quality, detection of adulteration and substitution and emphasizing the importance of standardization

TERT Immunohistochemistry as a Surrogate Marker for TERT Promoter Mutations in Infiltrating Gliomas

Genomic alterations are critical for the diagnosis, prognostication, and treatment of patients with infiltrating gliomas. Telomerase reverse transcriptase promoter ( TERT p) mutations are among such crucial alterations. Although DNA sequencing is the preferred method for identifying TERT p mutations, it has limitations related to cost and accessibility. We tested telomerase reverse transcriptase (TERT) immunohistochemistry (IHC) as a surrogate for TERT p mutations in infiltrating gliomas. Thirty-one infiltrating gliomas were assessed by IHC using an anti-TERT Y182 antibody. IHC results were analyzed by a board-certified neuropathologist. Tumors were analyzed by targeted next-generation sequencing. A literature review of the use of TERT antibodies as a surrogate for TERT p mutations was performed. Eighteen gliomas harbored TERT p mutations. Overall, TERT IHC demonstrated a sensitivity of 61.1% and a specificity of 69.2% for identifying TERT p mutations. Among the 19 IDH1/IDH2 -wild-type gliomas, 16 (84%) harbored TERT p mutations, and TERT IHC had a sensitivity of 62.5% and a specificity of 33.3%. Among the 12 IDH1/IDH2 -mutant gliomas, 2 (17%) harbored TERT p mutations, and TERT IHC had a sensitivity of 50% and a specificity of 80%. TERT IHC had low positive and negative likelihood values in the identification of TERT p mutations. The literature review included 5 studies with 645 patients and 4 different TERT antibodies. The results consistently showed poor sensitivity and specificity of TERT IHC for identifying TERT p mutations. TERT IHC is a suboptimal surrogate marker for TERT p mutations in infiltrating gliomas. The need remains for cost-effective, efficient, and accessible alternatives to next-generation sequencing for the evaluation of TERT p mutations in gliomas

Chemical looping combustion of biomass for renewable & non- CO2 emissions energy- status and review

World depends on fossil fuel combustion for thermal energy generation. Fossil fuel combustion leads to the generation of CO2 and ex-tinction of non-renewable resources. To meet the future energy demands replacement of existing technologies should take place in the view of large quantities of GHG’s emissions from fossil fuels and their extinction. Chemical looping combustion (CLC) is primarily a combustion technique with an inherent separation of CO2 from the flue gases. Due to its advantage of negative CO2 emissions, chemical looping combustion got attention of many researchers since last one and half decade. Recent research advancements in the CLC provided a platform for further research and developments in chemical looping combustion of biomass. This paper reviews the CLC of biomass to present the overview of chemical looping combustion technology and its status of biomass utilization as a fuel in CLC reactors