731 research outputs found
Detecting acceleration-enhanced vacuum fluctuations with atoms inside a cavity
No full textSome of the most prominent theoretical predictions of modern times, e.g., the Unruh effect, Hawking radiation, and gravity-assisted particle creation, are supported by from the fact that various quantum constructs like particle content and vacuum fluctuations of a quantum field are observer-dependent. Despite being fundamental in nature, these predictions have not yet been experimentally verified because one needs extremely strong gravity (or acceleration) to bring them within the existing experimental resolution. In this Letter, we demonstrate that a post-Newtonian rotating atom inside a far-detuned cavity experiences strongly modified quantum fluctuations in the inertial vacuum. As a result, the emission rate of an excited atom gets enhanced significantly along with a shift in the emission spectrum due to the change in the quantum correlation under rotation. We propose an optomechanical setup that is capable of realizing such acceleration-induced particle creation with current technology. This provides a novel and potentially feasible experimental proposal for the direct detection of noninertial quantum field theoretic effects
sj-docx-1-smo-10.1177_20503121231200103 – Supplemental material for Defining the clinical characteristics of mammary analog secretory carcinoma of the salivary gland: Analysis of the National Cancer Database
No full textSupplemental material, sj-docx-1-smo-10.1177_20503121231200103 for Defining the clinical characteristics of mammary analog secretory carcinoma of the salivary gland: Analysis of the National Cancer Database by Akshilkumar Patel, Brandon LaBarge, Tonya S King, Sandeep Pradhan, Joshua Warrick and Neerav Goyal in SAGE Open Medicine</p
EVALUATION OF HEALTH RELATED QUALITY OF LIFE WITH RIFAXIMIN AND PROBIOTICS IN THE PATIENTS OF DIARRHEA PREDOMINANT IRRITABLE BOWEL SYNDROME
No full text*Dr. Himani Deswal, Dr. Sarita Goyal, Dr. Sandeep Goyal and Dr. M. C. Gupt
WSO895651 Supplemental Material2 - Supplemental material for Stroke in young cannabis users (18–49 years): National trends in hospitalizations and outcomes
No full textSupplemental material, WSO895651 Supplemental Material2 for Stroke in young cannabis users (18–49 years): National trends in hospitalizations and outcomes by Rupak Desai, Sandeep Singh, Krupa Patel, Hemant Goyal, Manan Shah, Zeeshan Mansuri, Smit Patel, Zabeen K Mahuwala, Larry B Goldstein and Adnan I Qureshi in International Journal of Stroke</p
WSO895651 Supplemental Material1 - Supplemental material for Stroke in young cannabis users (18–49 years): National trends in hospitalizations and outcomes
No full textSupplemental material, WSO895651 Supplemental Material1 for Stroke in young cannabis users (18–49 years): National trends in hospitalizations and outcomes by Rupak Desai, Sandeep Singh, Krupa Patel, Hemant Goyal, Manan Shah, Zeeshan Mansuri, Smit Patel, Zabeen K Mahuwala, Larry B Goldstein and Adnan I Qureshi in International Journal of Stroke</p
Modern techniques for agricultural disease management and crop yield prediction Advances in environmental engineering and green technologies (AEEGT) book series./ N. Pradeep, Sandeep Kautish, C.R. Nirmala, Vishal Goyal, Sonia Abdellatif, [editors].
No full text"eISSN: 2326-9170."Includes compilation of bibliographical references (pages 259-284) and index."This book explores the current practices and widespread open challenges in the field of applications of computational techniques in smart agriculture. It also examines computational methods that will aid in agriculture disease management, weed detection, and crop yield prediction"--Provided by publisher.Issues and challenges in smart farming for sustainable agriculture / Immanuel Zion Ramdinthara, Shanthi Bala P -- Image processing techniques aiding smart agriculture / Aspira S. Tripathy, Deepak Kumar Sharma -- Expert system design for diagnosis of diseases for paddy crop / Sreekantha Desai Karanam, Deepthi M.B. -- Deep learning and computer vision in smart agriculture / Shiv Kumar, Agrima Yadav, Deepak Kumar Sharma -- Computer vision for green plant segmentation and leaf count / Praveen Kumar J., Domnic S. -- Automatic data acquisition and spot disease identification system in plants pathology domain : agricultural intelligence system in plant pathology domain / Rajesh T.M., Kavyashree Dalawai, Pradeep N. -- Applications of data mining techniques in smart farming for sustainable agriculture / Anandhavalli Muniasamy -- Agro guardian : a smart agriculture framework for precision farming / Sanjeevakumar M. Hatture, Susen P. Naik -- A study on technology-LED solution for fruit grading to address post-harvest handling issues of horticultural crops / Arun Kumar R., Vijay S. Rajpurohit, Sandeep Kautish -- Optimized data mining techniques for outlier detection, removal, and management zone delineation for yield prediction / Roopa G.M., Arun Kumar G.H., Naveen Kumar J.R., Nirmala C.R.1 online resource (xix, 291 pages)
Diversity and Conflict in Teams: A Faultline Model Perspective
No full textAlthough the relationship between diversity and conflict in teams has received much attention in the past two decades, prior research has yielded inconsistent results. Drawing from the conceptual work on team faultlines, we present an integrated model of the relationships between the three types of diversity: separation, variety, and disparity and three types of conflict: task, relationship and process.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/116272/1/Goyal et al. 2008.pd
Dynamics of Network Formation Processes in the Co-Author Model
No full textThis article studies the dynamics in the formation processes of a mutual consent network in game theory setting: the Co-Author Model. In this article, a limited observation is applied and analytical results are derived. Then, 2 parameters are varied: the number of individuals in the network and the initial probability of the links in the network in its initial state. A simulation result shows a finding that is consistent with an analytical result for a state of equilibrium while it also shows different possible equilibria.Dynamics, Network, Game Theory, Model,Simulation, Equilibrium, Complexity
Linear cyclodextrin polymer prodrugs as novel yherapeutics for Niemann-Pick type C1 disorder
No full textNiemann-Pick Type C1 disorder (NPC) is a rare lysosomal storage disease characterized by the accumulation of cholesterol in lysosomes. NPC has no FDA approved treatments yet, however 2-hydroxypropyl-β-cyclodextrin (HPβCD) has shown efficacy for treating the disease in both mouse and feline NPC models and is currently being investigated in late stage clinical trials. Despite promising results, therapeutic use of HPβCD is limited by the need for high doses, ototoxicity and intrathecal administration. These limitations can be attributed to its poor pharmacokinetic profile. In the attempt to overcome these limitations, we have designed a β-cyclodextrin (βCD) based polymer prodrugs (ORX-301) for an enhanced pharmacokinetic and biodistribution profile, which in turn can potentially provide an improved efficacy at lower doses. We demonstrated that subcutaneously injected ORX-301 extended the mean lifespan of NPC mice at a dosage 5-fold lower (800 mg/kg, body weight) the HPβCD dose proven efficacious (4000 mg/kg). We also show that ORX-301 penetrates the blood brain barrier and counteracts neurological impairment. These properties represent a substantial improvement and appear to overcome major limitations of presently available βCD-based therapy, demonstrating that this novel prodrug is a valuable alternative/complement for existing therapies
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