3,313 research outputs found

    Competition between Superconductivity and Charge Density Wave Ordering in the Lu5_5Ir4_4(Si1−x_{1-x}Gex_x)10_{10} Alloy System

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    We have performed bulk measurements such as dc magnetic susceptibility, electrical resistivity and heat capacity on the pseudo-ternary alloys Lu5_5Ir4_4(Si1−x_{1-x}Gex_x)10_{10} to study the interplay and competition between superconductivity and the charge density wave (CDW) ordering transition. We track the evolution of the superconducting transition temperature TSC_{SC} and the CDW ordering temperature TCDW_{CDW} as a function of x (concentration of Ge) (0.0≤x≤ 1.00.0 \leq x\leq~1.0). We find that increasing x (increasing disorder) suppresses the TCDW_{CDW} rapidly with the concomitant increase in TSC_{SC}. We present a temperature-concentration (or volume) phase diagram for this system and compare our results with earlier work on substitution at the Lu or Ir site to show how dilution at the Si site presents a different situation from these other works. The heat capacity data in the vicinity of the CDW transition has been analyzed using a model of critical fluctuations in addition to a mean-field contribution and a smooth lattice background. We find that the critical exponents change appreciably with increasing disorder. This analysis suggests that the strong-coupling and non mean-field like CDW transition in the parent compound Lu5_5Ir4_4Si10_{10} changes to a mean-field like transition with increasing Ge concentration.Comment: 14 pages and 8 figures. Accepted for publication in Phys. Rev.

    D-STACK: High Throughput DNN Inference by Effective Multiplexing and Spatio-Temporal Scheduling of GPUs

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    Hardware accelerators such as GPUs are required for real-time, low-latency inference with Deep Neural Networks (DNN). However, due to the inherent limits to the parallelism they can exploit, DNNs often under-utilize the capacity of today's high-end accelerators. Although spatial multiplexing of the GPU, leads to higher GPU utilization and higher inference throughput, there remain a number of challenges. Finding the GPU percentage for right-sizing the GPU for each DNN through profiling, determining an optimal batching of requests to balance throughput improvement while meeting application-specific deadlines and service level objectives (SLOs), and maximizing throughput by appropriately scheduling DNNs are still significant challenges. This paper introduces a dynamic and fair spatio-temporal scheduler (D-STACK) that enables multiple DNNs to run in the GPU concurrently. To help allocate the appropriate GPU percentage (we call it the "Knee"), we develop and validate a model that estimates the parallelism each DNN can utilize. We also develop a lightweight optimization formulation to find an efficient batch size for each DNN operating with D-STACK. We bring together our optimizations and our spatio-temporal scheduler to provide a holistic inference framework. We demonstrate its ability to provide high throughput while meeting application SLOs. We compare D-STACK with an ideal scheduler that can allocate the right GPU percentage for every DNN kernel. D-STACK gets higher than 90 percent throughput and GPU utilization compared to the ideal scheduler. We also compare D-STACK with other GPU multiplexing and scheduling methods (e.g., NVIDIA Triton, Clipper, Nexus), using popular DNN models. Our controlled experiments with multiplexing several popular DNN models achieve up to 1.6X improvement in GPU utilization and up to 4X improvement in inference throughput

    Properties and characteristics of an anti-human chorionic gonadotropin monoclonal antibody

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    The product of a hybrid cell clone, P3W80, obtained as ascites fluid from mouse peritoneal cavity had high titres of anti-human chorionic gonadotropin antibodies e.g. 30 to 40% binding of 125I-human chorionic gonadotropin at 107 dilution in a radioimmunoassay. The antiserum SB6 (raised against β-human chorionic gonadotropin distributed by National Institutes of Health, USA gave similar binding at 5000 dilution in parallel runs. The monoclonal antibody recognized best human chorionic gonadotropin (0.3 mlU of hormone/tube with B/B0 < 75%), but also bound β and α subunits of human chorionic gonadotropin, 12 and 800 folds lower than human chorionic gonadotropin respectively No binding was observed with carboxy terminal peptides of β-human chorionic gonadotropin ranging from 93 to 145 amino acid residues, indicating the lack of recognition of the C-terminal region. No cross-reaction with human leutinizing hormone was obtained at the physiological surge levels, a significant competition (B/B0 < 75 %. obtainable only at 60 mlU of LER 960 human leutinizing hormone/ tube. The antibody had heavy chain of IgG1 and light chain of kappa type. It neutralized the bio-activity of human chorionic gonadotropin bothin vitro and invivo

    A Pathwise Ergodic Theorem for Quantum Trajectories

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    If the time evolution of an open quantum system approaches equilibrium in the time mean, then on any single trajectory of any of its unravelings the time averaged state approaches the same equilibrium state with probability 1. In the case of multiple equilibrium states the quantum trajectory converges in the mean to a random choice from these states.Comment: 8 page

    Assessing the knowledge, attitude and practice of contraception in rural India: a necessary step in achieving population control

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    Background: India’s projected population will be 1.53 Billion by the year 2050. Every fifth birth in the world is an Indian, and 50% percent of the Indian population are of reproductive age. Objective of present work was to study the knowledge, attitude and practice of contraception among rural women.Methods: 100 rural women in the study were evaluated with the help of a pre-designed and pre-tested questionnaire for the knowledge regarding contraception.Results: Though all women were aware of at least one contraceptive method, 11% never used contraception. The most commonly used contraceptive was condom 59%, followed by 41% CU-T, 27% tubectomy, 18% pills, 10% injectable and 3% emergency contraception.Conclusions: Though knowledge about at least one contraceptive method existed, there is a strong need for motivational strategies to make people accept the methods. Furthermore, there needs to be more educational programs to increase awareness about the existence of various family planning methods.

    Dissecting the rural Indian women’s knowledge, attitude and practice about infertility

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    Background: Objective of present study was to evaluate the knowledge, attitude and practice of rural women regarding infertility.Methods: A field tested semi-structured questionnaire was administered to 100 rural women in Kaiwara village, Karnataka, India to study their knowledge, attitude and practice regarding infertility.Results: Majority (84%) did not know the reason for infertility. 7% felt that the cause of infertility was due to problems with eggs, 6% felt it to be tubal factors and only 3% felt it to be due to male factor.Conclusions: The findings of this study highlight the importance of spreading the awareness and inculcating the right attitude and approach to infertility.

    ANTI-INFLAMMATORY ACTIVITY OF AQUEOUS EXTRACTS OF GRACILARIA

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    Objective: In the present investigation an attempt was made to examine the anti-inflammatory potential of aqueous extracts of Gracilaria salicornia C. Ag., Gracilaria edulis (Gmelin) Silva, Gracilaria corticata J. Ag., Gracilaria fergusonii J. Ag.,and Gracilaria verrucosa (Hudson) Papenfus from Mandapam, Gracilaria edulis (Gmelin) Silva., Gracilaria verrucosa (Hudson) Papenfus from Pulicate Lake, Gracilaria fergusonii J. Ag., Gracilaria corticata J. Ag. and Gracilaria corticata J. Ag. var. cylindrica from Tuticorin using heat induced haemolysis of RBC. In addition, the present study is focused to reveal the locality specific anti-inflammatory activities of selected Gracillaria species.Methods: The fresh seaweeds were boiled with distilled water (1:20 W/V) for 2 h. The slurry was filtered through Whatman No. 41 filter paper and condensed. The semi-solid crude extracts were used for anti-inflammatory analysis.Results: An aqueous extracts of studied Gracilaria species were effective in inhibiting the heat induced haemolysis at different concentrations. The results showed the dose dependent protection. The percentage of anti-inflammatory activity of studied Gracillaria was varied from 43.81 to 95.55. The highest percentage (95.55%) of activity was observed in 250 µg/ml of G. edulis aqueous extracts. The anti-inflammatory activity of studied Gracillaria species at 250 µg/ml were as follows G. edulis (Mandabam)>G. corticata (Mandabam)>G. verucosa (Mandabam)>G. salicornia (Mandabam)>G. ferugosonii (Tuticorin)>G. ferugosonii (Mandabam)>G. edulis (Pulicate)>G. corticata (Tuticorin)>G. verucosa (Pulicate)>G. corticata var. cylindrica (Tuticorin).Conclusion: The results of the present study clearly explained the anti-inflammatory potential of the studied Gracillaria species. The aqueous 0extracts of Gracillaria collected from Mandapam showed the highest percentage of protection activity. This study results confirm the existence of active principle responsible for the anti-inflammatory activity. Further studies are required to isolate the active principles without any side effects
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