55 results on '"Murthy, C. A."'
Search Results
2. Stochastic Resource Algorithm for Effective Utilization of Bandwidth for IoT Sensor Networks in Arecanut Agriculture Applications
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Niranjan Murthy C, Dr. Sanjay Pande M B, Kotreshi S N, and Niranjan Murthy C
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Primary, Secondary Users, Resource Management, Stochastic Approximation, Imperfect Channel Information, Lagrange's Multipliers - Abstract
Cognitive radio technology is growing positive solution for the effective utilization of the bandwidth for IoT device networks. The fixed spectrum allocation scheme leads to insufficient spectrum utilization, to overcome this problem, the stochastic resource allocation algorithm is proposed in the present work. This method of internet spectrum allocation considerably increases the performance of IoT sensor network by utilizing the internet spectrum by non-cognitive inactive IoT sensors (white space/spectrum holes) by continuous spectrum sensing. In this paper we have discussed the effective resource allocation for interweave and underlay conditions and also at variable interference constraints (short time and longtime spectrum sensing) of IoT network. The arecanut plantation for agriculture scenario is considered in the present paper and the sensor environment simulation is performed using MATLAB.
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- 2023
3. Lamp: Latency-Aware Mac Protocol for Joint Scheduling of Cam and Denm Traffic Over 5g-Nr Sidelink
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Suranjan Daw, Anwesha Kar, Venkatarami Reddy Chintapalli, Bheemarjuna Reddy Tamma, and Siva Ram Murthy C.
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- 2023
4. DIAGNOSTIC SIGNIFICANCE OF ADENOSINE DEAMINASE AND LYMPHOCYTES IN SUSPECTED TUBERCULOUS PLEURAL EFFUSION
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Radhika T M, Narayana Murthy C, and Ruhi salma Naagar
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CONTEXT: Tuberculosis is a major public health problem in India. Tuberculous pleural effusion is a paucibacillary manifestation of the Tuberculosis, so isolation of Mycobacterium tuberculosis is difficult, biomarkers being an alternative for diagnosis. Pleural fluid Adenosine deaminase (ADA) level is being used in diagnosis of Tubercular pleural effusion. The combination of ADA and pleural fluid lymphocyte count is being recognized as a better method for increasing the specificity of ADA test. The present study was conducted to analyze the diagnostic usefulness ofAIM: ADA alone (≥ 40U/L) compared with the combination of ADA and pleural fluid lymphocyte count ( ≥ 50% ). SETTINGS AND DESIGN: METHODS AND MATERIAL:Retrospective study. Study was conducted for a period of one year from May 2017 to April 2018. A total of 110 pleural fluid samples data was analysed. SPSS 20STATISTICAL ANALYSIS USED: statistical software. ADA level in Tuberculous pleural effusion ranged from 40U/L to 112U/L with mean value ofRESULTS: 69.4U/L. Sensitivity, Specificity, Positive predictive valve (PPV) and Negative predictive values (NPV) for ADA alone were 93.2%, 76.4%, 82% and 90.6% respectively. For ADA and lymphocyte count the Specificity and PPV increased (98% and 98.1% respectively) with hardly any decrease in sensitivity or NPV (89.8% and 89.5% respectively). CONCLUSION: Combined use of ADA and pleural fluid lymphocyte count increases the specificity and PPV when compared to the specificity of ADA test alone in diagnosing Tubercular pleural effusion.
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- 2022
5. Skin Adnexal Tumors: An Experience at Tertiary Care Centre
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Sujatha S. Giriyan, Narayan Murthy C, Rekha B. Puranik, Sonam S. Nandyal, and Sharvani R. Setty
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medicine.medical_specialty ,business.industry ,General surgery ,medicine ,business ,Tertiary care ,Adnexal tumors - Published
- 2019
6. Power-aware gateway connectivity in battery-powered dynamic IoT networks
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Siva Ram Murthy C, Surabhi Abhimithra Karthikeya, and Revathy Narayanan
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Battery (electricity) ,020203 distributed computing ,Spanning tree ,Computer Networks and Communications ,business.industry ,Computer science ,Distributed computing ,020206 networking & telecommunications ,02 engineering and technology ,Power (physics) ,Software deployment ,Rapid rise ,Default gateway ,0202 electrical engineering, electronic engineering, information engineering ,The Internet ,Internet of Things ,business ,Computer network - Abstract
The paradigm of Internet of Things (IoT) is on rapid rise in today’s world of communication. Every networking device is being connected to the Internet to develop specific and dedicated applications. Data from these devices, called as IoT devices, is transmitted to the Internet through IoT Gateways (IGWs). IGWs support all the technologies in an IoT network. In order to reduce the cost involved with the deployment of IGWs, specialized low-cost devices called Solution Specific Gateways (SSGWs) are also employed alongside IGWs. These SSGWs are similar to IGWs except they support a subset of technologies supported by IGWs. A large number of applications are being designed which require IGWs and SSGWs to be deployed in remote areas. More often than not, gateways in such areas have to be run on battery power. Hence, power needs to be conserved in such networks for extending network life along with maintaining total connectivity. In this paper, we propose a dynamic spanning tree based algorithm for power-aware connectivity called SpanIoTPower-Connect which determines (near) optimal power consumption in battery-powered IoT networks. SpanIoTPower-Connect computes the spanning tree in the network in a greedy manner in order to minimize the power consumption and achieve total connectivity. Additionally, we propose an algorithm to conserve power in dynamic IoT networks where the connectivity demand changes with time. Our simulation results show that our algorithm performs better than Static Spanning Tree based algorithm for power-aware connectivity (Static ST) and a naive connectivity algorithm where two neighboring SSGWs are connected through every available technology. To the best of our knowledge, our work is the first attempt at achieving power-aware connectivity in battery-powered dynamic IoT networks.
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- 2018
7. Study of iron deficiency anemia with thrombocytosis in association with serum erythropoietin levels
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Ramu R and Narayana Murthy C
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Serum erythropoietin ,medicine.medical_specialty ,medicine.diagnostic_test ,Thrombocytosis ,Anemia ,business.industry ,medicine.disease ,Gastroenterology ,Iron-deficiency anemia ,Erythropoietin ,hemic and lymphatic diseases ,Internal medicine ,Serum iron ,medicine ,Platelet ,Thrombopoiesis ,business ,medicine.drug - Abstract
Aim: To evaluate the correlation of iron deficiency anemia with thrombocytosis in correlation with serum erythropoietin levels. Introduction: Thrombocytosis is a common hematologic finding that can present as an incidental finding and can lead to a great diagnostic challenge. Thrombocytosis can be caused due to autonomous or as a reactive overproduction secondary to infections, iron deficiency anemia, malignancies. Erythropoietin (EPO) is the primary regulator of erythrocyte production and also affects thrombopoiesis and platelet function. The mechanism leading to thrombocytosis in cases of iron deficiency anemia (IDA) remains unclear. Hence, this study was undertaken to evaluate correlation between IDA with thrombocytosis and serum EPO levels. Materials & Methods: A total of 50 patients of all the age groups attending out-patient and inpatient departments of Basaveshwara Medical College Hospital and Research center, Chitradurga suspected of having microcytic hypochromic anemia on initial hematological investigations were included for study over a period from January 2016 to august 2016. Relevant investigations like peripheral smear study, serum iron studies and serum erythropoietin levels were subsequently performed. Results: Majority 52% (n=26) had anemia between 7-9.9 gm/dl of which 57.69% (n=15) cases had platelet count between 5-7 lakhs/cu.mm, 34.61% (n=9) cases had moderate thrombocytosis and 7.69% (n=2) cases had severe thrombocytosis. Out of 50 cases in the present study 76% (n=38) cases had significant increase in the levels of serum erythropoietin while 24% (n=12) cases had normal serum erythropoietin. Conclusion: From the present study, it may be concluded that erythropoietin would play a significant role in causing thrombocytosis in patients with iron deficiency anemia.
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- 2017
8. TRISHNA: a high spatio-temporal resolution Indian-French spatial mission for TIR Earth observation
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Lagouarde, Jean-Pierre, Bhattacharya, B., Crebassol, P., Gamet, P., Murthy, C., Babu, S., Boulet, G., Briottet, X., Adlakha, D., Dadou, I., Dedieu, G., Gouhier, M., Hagolle, O., Irvine, Mark, Jacob, Frédéric, Kumar, K., Laignel, Benoît, Maisongrande, P., Mallick, K., Ottlé, C, Olioso, Albert, Pandya, M., Raju, P., Roujean, J.L., Shukla, M., Singh, S., Mishra, M., Nigam, R., A. Sobrino, J., Ramakrishnan, R., Interactions Sol Plante Atmosphère (UMR ISPA), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro), Centre National d'Études Spatiales [Toulouse] (CNES), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ONERA / DOTA, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Morphodynamique Continentale et Côtière (M2C), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Institute of Science and Technology (LIST), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Facultat de Fisica [València] (UV), and Universitat de València (UV)
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remote sensing ,water stress ,cycle de l'eau ,water management ,télédétection ,satellite ,[SDE]Environmental Sciences ,évapotranspiration ,hydrology ,Thermal infrared ,TRISHNA ,coastal water - Abstract
The climate change context, along with the increasing scarcity and deteriorating quality of the water resource leads to monitor different components of the water cycle. A particular attention has to be paid to some areas, particularly, agricultural lands which represent about 70% of the water consumption, and coastal areas subject to strong interactions with land. Thermal infrared (TIR) data from space are well adapted to these purposes, but the spatial variability of the surface requires that the complexity of both physical and biological processes involved must be assessed at a smaller scale which corresponds to the scale at which decisions concerning water management or implementation of policies devoted to the mitigation of climate change effect are effective. In addition, surface fluxes show short-time scale variability, which requires frequent observations to be done. The need of space borne systems combining both high spatial resolution and high revisit frequency in thermal infrared (TIR), which do not exist today, is now largely recognized by the scientific community and end-users, especially as SENTINEL and RESOURCESAT missions now provide high quality complementary data in the optical domain. To fill this gap a project, TRISHNA (Thermal infraRed Imaging Satellite for High-resolution Natural resource Assessment), is currently in the feasibility assessment phase, conducted by the French Space Agency (CNES) and the Indian Space Research Organization (ISRO).Two scientific objectives drive the mission specifications, (i) monitoring of ecosystem stress of the continental biosphere and of water use with applications to agriculture and hydrology, and (ii) monitoring of coastal and continental waters. Four complementary goals enlarge the community aggregated around the project: (iii) urban microclimates monitoring (urban heat islands, mitigation of heat waves effects…), (iv) applications to Solid Earth/geology (detection of thermal anomalies, volcanology, peat fires…), (v) cryosphere monitoring (glaciers, polar regions…), and (vi) applications to atmosphere (water content, clouds…). These objectives and the expected applications will first be briefly reviewed at the symposium.The main mission specifications will then be presented. Additionally to previous work conducted to consolidate the revisit and resolution specifications, emphasis will be put on recent studies made for inventorying factors possibly perturbing surface temperature measurements. Significant advances obtained for characterizing and modelling TIR directional anisotropy and thermal hot spot effects will first be described and their impact on the choice of orbit discussed. Similarly, an original study of the impact of atmospheric turbulence on the accuracy of LST -largely ignored by the community till date- will be presented; it reinforces the need of high revisit, and allows to estimate the errors on LST measurements. An overpass time in the early afternoon, around 13:00 LST has been carefully justified to cope with the different objectives of the mission and to optimize the accuracy on retrieved fluxes. A baseline spectral configuration of 4 TIR channels within the range 8 - 12 µm is under study, which makes possible implementing both split-window and temperature-emissivity separation algorithms. The main specifications of VNIR instrument embarked aboard the same platform are presented, and the need of 6 bands, 4 in the VNIR (blue, green, red, near infrared at 485, 555, 670, 860 nm) and 2 in the SWIR (1.38 and 1.61 µm) justified. To cope with the requirement of global coverage at Equator with a single satellite, a revisit of 3 days is selected. The nadir resolution of 50 m is binned at 1 km over open ocean. The instrumental studies undertaken will be briefly presented.The programmatic context of existing missions will be analyzed, only TRISHNA and the ESA LSTM mission providing high spatio-temporal capacities. The forthcoming phases of the CNES-ISRO TRISHNA project will finally be briefly mentioned, for a launch date foreseen at the 2024-2025 horizon.
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- 2019
9. Liraglutide and Renal Outcomes in Type 2 Diabetes
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Mann JFE, Ørsted DD, Brown-Frandsen K, Marso SP, Poulter NR, Rasmussen S, Tornøe K, Zinman B, Buse JB, LEADER Steering Committee and Investigators. Bergenstal R, Daniels G, Moses AC, Nauck M, Nissen S, Pocock S, Steinberg W, Stockner M, Kristensen P, Ravn LS, Zychma M, Flyvbjerg A, Ford I, Kloos RT, Schactman MJ, Sleight P, Swedberg K, Tenner SM, Akalın S, Arechavaleta R, Bain S, Babkowski MC, Benroubi M, Berard L, Comlekci A, Czupryniak L, Eliasson B, Eriksson M, Fonseca V, Franek E, Gross J, Hafidh K, Haluzik M, Hayes F, Huang YY, Jacob S, Kaddaha G, Khalil A, Kilhovd B, Laakso M, Leiter L, Lalic N, Ji L, Luedemann J, Mannucci E, Marre M, Masmiquel L, Mota M, Omar M, O’Shea D, Pan C, Petrie J, Pieber T, Pratley R, Raz I, Rea R, Rutten G, Satman I, Shestakova M, Simpson R, Smith D, Tack C, Tarnow L, Thomas N, Van Gaal L, Travert F, Vidal J, Warren M, Yoon KH, Tuttle RM, Sheerman SI, Hegedüs L, Baerwald H, Bergenstal M, Celik S, Dias C, Eder M, Fitzgibbons S, Irvhage L, Kloluckova J, Kriulianski R, McDuffie R, Moen S, Paster A, Saalfeld RM, Sankar K, Shehaj E, Swierzewska P, Tiktin M, Tovey S, Gibson CM, Chakrabarti AK, Dashe JF, Hinchey J, Leary MC, Pride Y, Wiviott S, Allen S, Mehr AP, Mutter WP, Parikh S, Ray S, Cheifetz A, Leffler D, Sheth S, Alexander E, Gaglia JL, Goessling W, Mitzner LD, Rosenberg C, Snow KJ, Wagner A, Piazza G, Abell S, Davis T, D'Emden M, Ding SA, Gilfillan C, Greenaway T, Gunawan F, Ho J, Jackson R, Kalra B, Lau SL, Lin J, MacIsaac R, Makepeace A, Malabu U, Marjason J, McCallum R, McLean M, Moin N, Petersons C, Price S, Roberts A, Roberts D, Sangla K, Stranks S, Tan Y, Thynne T, Walters J, Ward G, Wen W, Zhang J, Brix J, Feder A, Höbaus C, Höllerl F, Höller V, Kotter T, Kratz E, Krzizek EC, Leb-Stoeger U, Mader J, Mras N, Novak E, Obendorf F, Peric S, Pesau G, Prager R, Ribitsch A, Schnack C, Schernthaner G, Wascher T, Batens AH, Benhalima K, De Block C, Ernest P, Fouckova A, Jandrain B, Lapauw B, Letiexhe M, Mathieu C, Neven S, Peiffer F, Ruige J, Scheen A, Taes Y, Van Boxelaer I, Vandistel G, Van Durme Y, Verhaegen A, Alencar E, Alencar R, Almeida AC, Alves B, Alves E, Alves G, Alves J, Araujo L, Arruda V, Augusto GA, Baggentoss R, Balestrassi L, Barbosa M, Barcelos I, Belem L, de Bem A, Betti RT, Bona R, Bosco A, Branda J, Bronstein M, Bueno T, Bulcão T, Caiado F, Camazzola F, Cambréa MF, Campos S, Canani L, Carra MK, Caruso S, Carvalho N, Casillo A, Castro D, Cavalcanti T, Cavichioli V, Cercato C, Chacra A, Challela W, Charchar HS, Chaves C, Chrisman C, Correia-Deur J, da Costa A Jr, Costa M, Costi B, Coutinho P, Coutinho W, Cunha MR, Daher J Jr, Davini E, Democh D Jr, Eliaschewitz F, Esmanhoto Facin G, Farias F, Felício J, Fernandes V, Filho CS, Filho FF, Filho M, Fontan D, Fontenele AP, Forti A, Franco D, Freire K, Fusaro A, Genestreti P, Gerchman F, Godi A, Gomes KF, Gonçalves P, Gonçalves R, Griz L, Grossman M, Gurgel MH, Vasconcellos Haddad AW, Halpern A, Hissa M, Inuy A, Jaime J, Jonasson T, Jorge JC, Malucelli FJ, Kohara S, Kramer C, Lacerda C, Ladeira S, Lana J, Lastebasse F, Leitão A, Leite S, Lerário AC, Lima D, Lima M, Lippi V, Lunardi M, Machado E, Maia F, Maia J, Maia KP, Mañas N, Marchisotti F, Marinho C, Martins C, Figueiredo de Medeiros F, Melo A, Melo F, Mendonca E, Mendonça P, Filho RM, Miguel M, Miléo K, Miyahara M, Montenegro AP, Moraes A, Moreira A, Ítalo Mota J, Mothe FS, Murro A, Nakatani V, Napoli TF, Neto BG, Neto OQ, Niclewicz E, Ohe LN, Oliveira F, Oliveira M, Panarotto D, Parente E, Parolin S, Pechmann L, Costa da Penha P, Perlamagna L, Perotta B, Pimentel L, Pinto M, Poço C, Ponte C, Prazeres P, Quintao E, Raduan R, Rassi DT, Rassi N, Reck L, Montenegro R Jr, Ribeiro R, Rodovalho S, Silveira Rodrigues G, Rollin G, Rossi S, Sabino C, Sales AP, Salles J, Sampaio CR, Santana L, Sato V, da Silva Santos M, Santos NL, Santos R, Saraiva J, Sartori C, Sena R, Sevilha M, Sgarbi J, Silva D, D'albuquerque Silva L, Silva ME, Siqueira K, Soares S, Sobreira W, Sousa B, Souza AC, Souza B, Tambascia M, Tarantino R, Tenor F, Tomarchio M, Triches C, Tristão LJ, Valenti A, Vasques E, Vencio S, Vianna A, Munhoz Vidotto T, Vieira S, Villar H, Visconti G, Volaco A, Wajchenberg B, Zanatta L, Zimmerman L, Abbott EC, Abu-Bakare A, Advani A, Allison R, Bishara P, Bowering CK, Cheng A, Chouinard S, Clayton D, Conway J, D'Amours M, de Tugwell B, DeYoung P, D'Ignazio G, Dube F, Ekoe JM, Fagan S, Garceau C, Gottesman I, Hanna A, Harris S, Hramiak IM, Hurd C, Imran S, Josse R, Joyce C, Kaiser S, Khan F, Kirouac I, Kovacs C, Labonte I, Langlois WJ, Levac MF, Liutkus J, McDonald C, Milosevic V, Nyomba BL, Paul T, Raby K, Ransom T, Reichert SM, Retnakaran R, Rabasa-Lhoret R, Raff E, Shaikholeslami R, Sigalas J, Yip CE, Weisnagel SJ, Woo V, Bao Y, Cai X, Chen J, Chen K, Chen M, Chen X, Chen Y, Ji Y, Lei J, Li H, Liu P, Mu Y, Ren M, Ren Y, Shi Y, Wang D, Wang F, Wang J, Wang Y, Yan L, Yang G, Yang J, Yu X, Yuan G, Xu M, Zhao X, Zheng J, Zhou L, Anderlová K, Brožová J, Haluzík M, Hanušová V, Kosák M, Křížová J, Mráz M, Owen K, Rušavý Z, Tomešová J, Trachta P, Žourek M, Andersen PH, Boesgaard T, Christensen S, Gram J, Gregersen S, Henriksen JE, Hermansen K, Jakobsen PE, Jensen J, Krogsaa A, Larsen M, Lervang HH, Madsbad S, Mortensen L, Olesen T, Pietraszek A, Ridderstråle M, Safai N, Schioldan AG, Schmidt C, Snorgaard O, Stidsen J, Cederberg H, Haapamäki H, Hukkanen J, Jauhiainen R, Kujari ML, Lahtela J, Laine M, Mäkelä J, Miilunpohja M, Savolainen M, Taurio J, Vänttinen M, Creton C, Cosma NV, Dillinger J, Jacques JL, Guedj AM, Moulla M, Petit C, Ratsianoharana V, Richter D, Rodier M, Roussel R, Hinz A, Politz E, Esser M, Deuse U, Mittag D, Hagenow A, Jacob F, Jordan R, Gantke D, Venschott-Jordan U, Löhr C, Klausmann G, Eschenbrücher K, Karakas M, Jahrsdörfer B, Kunze MR, Wöhrle J, König W, Spielhagen H, Kilimnik A, Lüdemann HP, Lüdemann J, Mölle A, Mölle M, Müller J, Appelt S, Sauter A, Sauter J, Hartmann U, Löw A, Krötz F, Sohn HY, von Schacky C, Klauss V, Braun D, Segner A, Degtyareva E, Kreutzmann K, Paschmionka R, Hauck N, Sihal O, Busch AK, Maus O, Stübler P, Füllgraf-Horst S, Vietzke A, Müller C, Tosch-Sisting R, Lengsfeld B, Thaler J, Schaum T, Steindorf J, Steindorf S, König A, Reitschuster S, Schlott D, Clever HU, Witzel P, Kempe HP, Stemler L, Benis A, Diakoumopoulou E, Kazakos K, Kypraios N, Liatis S, Pagkalos E, Siami E, Tentolouris N, Alur VC, Agrawal M, Ali M, Asirvatham A, Asirvatham E, Bandgar TR, Balaji M, Bardoloi N, Baruah M, Bekur R, Bhansali A, Bhatia S, Bhonsley S, Bhuyan S, Borah B, Bright N, Ambrish C, Chaudhury T, Choudhury S, Chellan G, Das M, Dharmalingam M, Dutta P, Erugu A, Vinutha FP, Gunasekaran P, Das Gupta R, Iqbal A, Jagadish P, Jain S, Jebasingh H, John A, John M, Kalra S, Kasaragod P, Kesavadev J, Kumar H, Kumar P, Lakshmanan V, Lila AR, Mathew T, Miyen H, Mohan T, Motha A, Murthy C, Shivashankara N, Nanaiah A, Ommen T, Pani K, Pandey K, Paramesh S, Paramesh V, Pillai B, Prabhu M, Kalki RC, Ramachandran S, Ramu M, Rao Y, Reddy S, Saikia P, Saravu K, Selvam K, Sethi B, Shankar A, Sharma A, Shah N, Shankar P, Shetty R, Shivane V, Srivalli S, Thaseen S, Sarada S, Shirisha A, Subramani M, Balaji V, Mohan V, Padmanaban V, Verma M, Vidyasagar S, Walinjkar V, Walia R, Davenport C, Forde H, Gadintshware G, Gan KJ, Khattak A, O'Connell J, O'Shea D, Beilin V, Cahn A, Cohen O, Cukierman-Yaffe T, Daoud D, Darawsha M, Dicker D, Gavish A, Hochberg I, Ilany J, Inbal U, Itzhak B, Karasik A, Karnieli E, Khader N, Khamaisi M, Lender D, Lieberman GS, Mahamid R, Marcoviciu D, Michael L, Minuchin O, Mosenzon O, Narevichius F, Percik R, Potekhin M, Sabbah M, Sawaed S, Schurr D, Segal E, Slezak L, Vollach I, Zaina A, Zloczower M, Zolotov S, Antenore A, Arnone M, Arturi F, Barbaro V, Barone M, Di Biagio R, Buscemi C, Buscemi S, Buzzetti R, Di Carlo A, Carlone A, Caruso V, Casadidio I, Cerrelli F, Ciavarella A, Cipolloni L, Colella A, Colotto M, Consoli A, Crippa VG, Cuccuru I, Cufone S, Desideri C, Fallarino M, Febo F, Filetti S, Foffi C, Formoso G, Frosio L, Di Fulvio P, Gambineri A, Ginestra F, Grimaldi MS, Lamanna C, Leto G, Lucotti P, Lugarà M, Lumera G, Magistro A, Maranghi M, Martelli D, Mattina A, Monti LD, Parise M, Pedace E, Perticone F, Piatti P, Pompea Antonia Baldassarre M, Ragghianti B, Repaci A, Ribichini D, Da Ros S, Rossi M, Santilli M, Sesti G, Setola E, Succurro E, Sussolano E, Tarquini G, Verga S, Vitale V, Alanis RR, del Rosario Arechavaleta-Granell M, de Jesús Beltran Jaramillo T, de Jesús Rodríguez Berrones DA, Rodríguez Briones I, Rodríguez Briones R, Acevedo Castañeda ES, Chapa Grimaldo JB, Flores-Moreno CA, Garza Felix S, Nieto Flores J, Morales Franco G, Garza Morán RA, Hernández González SO, González-Gálvez G, González González JG, Hernández Salazar E, García Hernández PA, Campos Hurtado S, López-Velázco ML, Cardona Muñóz EG, Nuñez Márquez R, Campos Moreno OV, Cavazos Oliveros FJ, Haro Ortiz JA, Pelayo-Orozco ES, Sida Perez P, Vazquez Ramírez R, Uribe Rios MA, López Rodríguez JC, Rodríguez Rosales M, Robledo Durón I, Alvarado Ruíz R, González Saldivar G, Reyes Sánchez R, Sánchez-Michel BL, Contreras Sandoval AY, Velasco Gutiérrez A, Perez Verdín AE, Ramos Zavala MG, Abbink-Zandbergen E, Ahdi M, Bugter A, van Dijk M, Eisma G, Erdtsieck R, Gerards M, Gerdes V, Haak H, Harbers V, Hoogenberg K, Huvers F, Janssen W, Kars M, Kooy A, Lafeber M, Landewé-Cleuren S, Lieverse A, Meesters E, Moerman S, van Moorsel D, Nijhuis J, Smit CJ, Thevissen K, Timmerman Thijssen DM, Willemsen A, Birkeland K, Cooper J, Gulseth H, Hjelmesæth J, Jørgensen P, Kilhovd BK, Kulseng B, Nicolaisen B, Skadberg Ø, Wium C, Antkowiak-Piatyszek K, Arciszewska M, Bajkowska-Fiedziukiewicz A, Bogdanski P, Czubek U, Cypryk K, Dabrowski J, Dabrowska M, Dziedzic S, Dziewit T, Faligowska M, Fedor-Plenkowska G, Gajos G, Galicka-Latala D, Galuszka-Bilinska A, Gladysz I, Grycewicz J, Hachula G, Janas I, Jazwinska-Tarnawska E, Jedynasty K, Jozefowska M, Kaminska A, Katra B, Kitowska-Koterla J, Klupa T, Koblik T, Konduracka E, Konieczny J, Konieczny M, Kosinski M, Kulkowski G, Kunecki M, Kurmaniak M, Lesniewski R, Lominska T, Losa B, Majkowska D, Malecki M, Mirocka J, Misztal M, Mruk K, Musialik K, Olejniczak H, Opadczuk P, Peczynska J, Plinta M, Polaszewska-Muszynska M, Przech E, Pupek-Musialik D, Ruzga Z, Scibor Z, Sidorowicz-Bialynicka A, Siegel A, Stankiewicz A, Strzelecka-Sosik A, Swierszcz T, Szulinska M, Szymkowiak K, Trybul I, Witek P, Wozniak I, Zambrzycki J, Zarzycka-Lindner G, Zuradzka-Wajda D, Zurawska-Klis M, Ahn HY, Chin SO, Choi SH, Chon S, Han KA, Jang HC, Jeong KC, Kang SM, Kim JW, Kim HS, Kim SJ, Kim SW, Kim YS, Lee EY, Lim S, Min KW, Nam JY, Oh SJ, Park SY, Rhee SY, Shin JA, Son JI, Song YD, Woo JT, Yang HK, Yoo JS, Yoon JW, Avram R, Braicu MD, Carlan L, Catrinoiu D, Ciomos D, Ciorba A, Ghise G, Girgavu S, Guja C, Mihai D, Nicodim S, Nistor L, Pintilei DR, Pintilei E, Pletea N, Pop A, Rosu M, Savu O, Serban V, Sima A, Sitterli-Natea C, Suciu G, Szabo M, Szilagyi I, Timar B, Vlad A, Vladu IM, Alfaraj A, Dubova V, Dvoryashina I, Gaysina L, Gromova S, Gudkova K, Ivanova S, Ivashkina I, Kalashnikova M, Kazankova T, Khaykina E, Khaykina O, Kiseleva T, Komissarova E, Kononenko I, Koreneva V, Koshcheeva O, Koshel L, Kozachuk D, Kufelkina T, Kunitsyna M, Likhodey N, Lysenko T, Makarova O, Malceva A, Mikhailova S, Ogorodnikova E, Pavlikova I, Pekareva E, Postoeva A, Reshedko D, Reshedko G, Reshedko L, Rogaleva A, Rogova L, Rozanov D, Runov G, Samylina I, Semikina T, Sergeeva-Kondrachenko M, Shatskaya O, Shimokhina O, Smetanina S, Startseva M, Strelkova A, Suplotova L, Suvorova L, Sych Y, Valeeva A, Valeeva F, Venjkova T, Vinokurova V, Voychik E, Yanovskaya E, Yanovskaya M, Yarkova N, Yarygina E, Yuzhakova N, Zakharova T, Zanozina O, Zenovko A, Zhuk S, Zhukova E, Aleksic S, Bulatovic A, Buric B, Cvijovic G, Jelic MA, Jojic B, Jotic A, Kendereski A, Lalic K, Lukic L, Macesic M, Petkovic MM, Micic D, Milicic T, Popovic L, Prostran M, Rajkovic N, Seferovic J, Singh S, Stojanovic R, Stosic L, Vuksanovic M, Zamaklar M, Zivkovic TB, Zoric S, Aboo N, Albertse HW, Badat A, Basson M, Bawa E, Bester F, Blignaut S, Booysen S, Bosch FJ, Burgess L, Cassimjee S, Coetzee K, Du Bois J, Engelbrecht J, Finegan K, Gibson GJ, Hansa S, Hemus A, Immink IP, Jacovides A, Joshi P, Joshi S, Kapp C, KhoeleMachobane S, Uys Knox HJ, Kok J, Komati S, Lai E, Lakha D, Lehloenyane K, Mahomed AG, Meeding R, Moodley R, Moosa N, Nel J, Nell H, Van Niekerk FJ, Pillay N, Pretorius M, Prozesky H, Ramduth S, Roos J, Sarvan M, Seeber M, Siebert M, Somasundram P, Stavrides A, Venter N, Wadvalla S, Alcolea JO, Álvarez de Arcaya Vicente A, Pérez Arroyo MB, Romero Bobillo E, Buño MM, Carreira Arias JN, Cepero García D, Masmiquel Comas L, Coves Figueras MJ, de la Cuesta Mayor C, Feria-Carot MD, Frade Fernández AM, Ferreiro Gómez M, García García C, García Delgado E, Durán García S, Gómez Gómez LA, Soto González A, Hernán García C, Ángeles Tapia Herrero M, Jodar Gimeno E, Quevedo Juanals J, López Jiménez M, Masanes F, Marco Mur ÁL, Navarro López M, Ramis JN, Palmer AG, Calle Pascual A, Romero Pérez LG, Morales Portillo C, Prieto González S, Mezquita Raya P, Reyes García R, Vera TR, Rodríguez Castro C, Rodríguez Rodríguez I, Sacanella Meseguer E, Serrano Olmedo I, Lopez Soto A, Toba Alonso F, Aliaga Verdugo A, Vidal Cortada J, Vigil Medina L, Ackefelt-Frick E, Alfredsson H, Beling E, Benedek P, Crisby M, Dorkhan M, Drescik T, Eeg-Olofsson K, Eliasson K, Fardelin P, Fredholm A, Frid A, Gerok-Andersson K, Hjelmaeus L, Hufnagl A, Jasinska E, Kowalska E, Lafolie P, Lindquist O, Lundvall M, Melander E, Nicander C, Moris L, Tengmark BO, Saphir U, Skagerberg P, Steczkó-Nilsson C, Strandell B, Tomson Y, Chen JY, Chen YC, Chiang CY, Chou CW, Ho CW, Hsiao PJ, Hsieh MC, Hsu RS, Hsu SR, Huang CH, Hung WW, Lee MY, Lee YM, Lin CW, Lin CH, Lin KD, Lin SD, Lin SF, Liou MJ, Lu WT, Shin SJ, Sia HK, Su MH, Su SL, Sun JH, Tien KJ, Tsai DH, Tsai SS, Tu ST, Wang CC, Wang SY, Yang CY, Yen FC, Acikgoz A, Akalin S, Akin S, Akinci B, Akkurt A, Akturk M, Alkis N, Altun I, Altunbas HA, Altuntas Y, Araz M, Aribas S, Arslan E, Arslan G, Arslan M, Ataoglu EH, Ayan F, Aydin K, Aydogan BI, Ayvaz G, Bahadir MA, Balci MK, Basaran MN, Baskal N, Bugra MZ, Calan M, Cavdar U, Cetin F, Cinar N, Colbay M, Dagdelen S, Damci T, Davutoglu V, Demir M, Demir T, Deyneli O, Dincer I, Dogan B, Kanipek Doker KY, Engin I, Eraydin A, Erbas T, Erdogan MF, Ersoy C, Gedik A, Gokay F, Gul OO, Guler S, Gumus T, Gunes E, Gurler MY, Hatipoglu E, Ilkova H, Iyidir OT, Kabakci G, Karadag B, Karatemiz G, Karci AC, Kartal E, Kaya EB, Keskin C, Keskin EF, Kocabas G, Kocak F, Kol AK, Korkmaz H, Kucukler FK, Mesci BA, Oguz A, Orbay E, Oz H, Ozcan ND, Ozdem S, Ozisik S, Ozkan C, Ozsan M, Ozyazar M, Parlar H, Sargin H, Sargin M, Saygili F, Selek A, Simsek Y, Sisman P, Solmaz K, Soydas C, Tatliagac S, Tamer I, Temizkan S, Tulunay C, Tuncel E, Turker F, Unluhizarci K, Unluturk U, Uygur MM, Vatansever B, Yazici D, Yavuz DG, Yener S, Yenigun M, Yilmaz M, Abbas S, Alawadi F, Aziz AA, Bashier A, Rashid F, Abraham P, Adamson K, Atkin S, Aye M, Azam M, Barnett AH, Bellary S, Dhatariya K, Eaton M, English P, Ewing J, Furlong N, Gibson M, Green D, Herring R, Hordern V, Jaap A, Javed Z, Johnson A, Konya J, Kumar S, Lindsay R, Mackie A, McGlynn S, McKenzie J, Millward A, Murthy N, Paisey R, Pearson E, Piya M, Ramell M, Robertson D, Russell-Jones D, Saravanan P, Sathyapalan T, Shakher J, Shiels H, Sivaraman S, Smith J, Srinivas-Shankar U, Stokes J, Tracey I, Vaidya B, Yee M, Yemparala P, Walker J, Wiggins P, Williams J, Wright J, Mackinnon C, Inkster J, Zeeshan J, Bejnariu C, Malipatil N, Giritharan S, Lonnen K, Kyrou I, Aamir S, Ababa M, Abreu M, Adams D, Adams P, Aden J, Aguilar D, Aguillon A, Ahmed A, Ahmed B, Ahmed I, Akhtar A, Akright B, Akright L, Albarracin C, Albert S, Ali S, Aliuddin B, Almasmary A, Al-Maweri A, Alzohaili O, Amador W, Amine M, Amini S, Anderson M, Anderson L, Anderson R, Andrews M, Angel J, Anteer W, Anthony V, Antillon A, Anzures P, Arcon-Rios S, Arkin D, Arodak B, Aronne L, Aronoff S, Arreola 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J, Cardenas C, Carlton J, Carpio G, Carrol A, Cartwright L, Casanova G, Castaneda L, Castle M, Castro L, Catangay J, Chaidarun S, Chambers J, Chambliss T, Chandra L, Chang A, Chang S, Chappel J, Chappel C, Chappell T, Charles C, Chavira A, Chaykin L, Check E, Chee L, Cherry A, Chestnut A, Chiarot J, Chiniwala N, Chionh K, Choe J, Christiansen M, Chrzanowski S, Chuang E, Chuck L, Clyatt J, Cohan B, Cohen R, Comi R, Comulada-Rivera A, Conner K, Connor G, Contreras R, Cook K, Cook R, Corder C, Cornejo B Sr, Cornette L, Cortes G, Cortez L, Cox C, Cox G, Craig W, Cramer B, Cromer C, Cromer M, Cuddihy R, Culmer D, Curran H, Curran M, Dadis C, Dagogo-Jack S, Dairywala I, D'Alessio D, Damberg G, Dang A, Daniel K, Davidson M, Dean J, DeBold R, Deitz P, Del M, Delaney D, Delgado E, DeMicco M, DeMuro MA, DeSalle D, Desouza C, Devireddy K, DeVries B, Dezube M, Diab I, Diesburg-Stanwood A, Dilliard J, Dilling J, Diner J, Dishongh K, Dodis R, Doing C, Doll W, Donoho A, Donovan D, Doremus N, Dorfman S, Doshi P, Dostou J, Douglas D, Douglass S, Dowell M, Drazich E, Driver E, Du H, DuBose R III, Duclos M, Dunn K, Dunnam T, Durham N, Dye L, Eagerton D, Ebenibo S, Edeoga C, Edwards G, Ekwensi J, El Asmar I, El Sayad N, Eliopoulos C, Elkosseifi M, Elmer R, Elmore M, Elson D, ElZein L, Emmert L, Erbe L, Estes S, Estrada L, Estrada A, Eveleigh T, Everhart B, Faas F, Faircloth C, Farmer M, Fehr K, Ferguson T, Fernandes J, Ferree K, Ferrington B, Fitzhugh M, Fitzsimmons R, Flanders D, Flores M, Flores E, Flores J, Florida C, Flynn J, Folmar P, Forbes R, Ford W, Fowler M, Fraker A, Francis S, Franco-Cotto E, Fratila C, Fuentes M, Galagan R, Galloway A, Garcia M, Garcia R, Garriott M, Garza J, Gass N, Gates S, Geary M, Geiger K, Geishauser J, Giglio A, Gilbert M, Godwin S, Goetter B, Goley A, Golici L, Gomori E, Gonzales J, Gore A, Gorman T, Gosmanova A, Goswami K, Gotham A, Govoni J, Graddick S, Grant T, Greca A, Green C, Greenbaum K, Greenwald J, Grover D, Grunberger G, Guice M, Guirao D, Gunna V, Guseva N, Ha T, Hagan A, Hager S, Haggag A, Haggar M, Hamilton M, Hamlet P, Hammond J, Hansen A, Harrell W, Harris E, Harris K, Harris M, Harrison L, Hartman I, Hatch A, Hayes D, Hayes M, Heath J, Heineman R, Heinzman A, Hendrick M, Herbst R, Hermayer K, Hibbard J, Hill WD, Hilliard B, Hix M, Hoch B, Hollander P, Holmes Z, Horobetz C, Horowitz R, Hsieh P, Hsieh S, Htun W, Huang J, Huber C, Hudson T, Huizar S, Hull B, Hull J, Hummer K, Hundal R, Hunt G, Hunt V, Hutchinson P, Hwang J, Iannamorelli A, Iannuzzi L, Ingram M, Iram N, Ismail-Beigi F, Jabbour S, Jackson T, Jaen L, Jain V, Jannesari R, Januski V, Japa U, Jarvis K, Jayson L, Jensen R, Jester D, Jocko C, Johnson C, Johnson M, Johnston K, Jones D, Jones J, Jordan T, Juarez M, Kaapuraala A, Kain A, Kaiser V, Kamradt K, Karatoprakli P, Karegar M, Karounos C, Karounos D, Karunaratne H, Katalenich B, Katic K, Katz M, Kaur G, Kawa A, Keib C, Keider G, Kem D, Kennedy R, Kenney B, Kereiakes D, Ketana M, Kettinger L, Khaira A, 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C, Wise J, Witte M, Wittenmyer J, Wood C, Wood R, Woodruff C, Worthington B, Wynn D, Wysham C, Xavier P, Yela S, Yenoby L, Young L, Younus N, Yourell V, Zaid M, Zubair I., Mann, Jfe, Ørsted, Dd, Brown-Frandsen, K, Marso, Sp, Poulter, Nr, Rasmussen, S, Tornøe, K, Zinman, B, Buse, Jb, Bergenstal R, LEADER Steering Committee and Investigators., Daniels, G, Moses, Ac, Nauck, M, Nissen, S, Pocock, S, Steinberg, W, Stockner, M, Kristensen, P, Ravn, L, Zychma, M, Flyvbjerg, A, Ford, I, Kloos, Rt, Schactman, Mj, Sleight, P, Swedberg, K, Tenner, Sm, Akalın, S, Arechavaleta, R, Bain, S, Babkowski, Mc, Benroubi, M, Berard, L, Comlekci, A, Czupryniak, L, Eliasson, B, Eriksson, M, Fonseca, V, Franek, E, Gross, J, Hafidh, K, Haluzik, M, Hayes, F, Huang, Yy, Jacob, S, Kaddaha, G, Khalil, A, Kilhovd, B, Laakso, M, Leiter, L, Lalic, N, Ji, L, Luedemann, J, Mannucci, E, Marre, M, Masmiquel, L, Mota, M, Omar, M, O’Shea, D, Pan, C, Petrie, J, Pieber, T, Pratley, R, Raz, I, Rea, R, Rutten, G, Satman, I, Shestakova, M, Simpson, R, Smith, D, Tack, C, Tarnow, L, Thomas, N, Van Gaal, L, Travert, F, Vidal, J, Warren, M, Yoon, Kh, Tuttle, Rm, Sheerman, Si, Hegedüs, L, Baerwald, H, Bergenstal, M, Celik, S, Dias, C, Eder, M, Fitzgibbons, S, Irvhage, L, Kloluckova, J, Kriulianski, R, Mcduffie, R, Moen, S, Paster, A, Saalfeld, Rm, Sankar, K, Shehaj, E, Swierzewska, P, Tiktin, M, Tovey, S, Gibson, Cm, Chakrabarti, Ak, Dashe, Jf, Hinchey, J, Leary, Mc, Pride, Y, Wiviott, S, Allen, S, Mehr, Ap, Mutter, Wp, Parikh, S, Ray, S, Cheifetz, A, Leffler, D, Sheth, S, Alexander, E, Gaglia, Jl, Goessling, W, Mitzner, Ld, Rosenberg, C, Snow, Kj, Wagner, A, Piazza, G, Abell, S, Davis, T, D'Emden, M, Ding, Sa, Gilfillan, C, Greenaway, T, Gunawan, F, Ho, J, Jackson, R, Kalra, B, Lau, Sl, Lin, J, Macisaac, R, Makepeace, A, Malabu, U, Marjason, J, Mccallum, R, Mclean, M, Moin, N, Petersons, C, Price, S, Roberts, A, Roberts, D, Sangla, K, Stranks, S, Tan, Y, Thynne, T, Walters, J, Ward, G, Wen, W, Zhang, J, Brix, J, Feder, A, Höbaus, C, Höllerl, F, Höller, V, Kotter, T, Kratz, E, Krzizek, Ec, Leb-Stoeger, U, Mader, J, Mras, N, Novak, E, Obendorf, F, Peric, S, Pesau, G, Prager, R, Ribitsch, A, Schnack, C, Schernthaner, G, Wascher, T, Batens, Ah, Benhalima, K, De Block, C, Ernest, P, Fouckova, A, Jandrain, B, Lapauw, B, Letiexhe, M, Mathieu, C, Neven, S, Peiffer, F, Ruige, J, Scheen, A, Taes, Y, Van Boxelaer, I, Vandistel, G, Van Durme, Y, Verhaegen, A, Alencar, E, Alencar, R, Almeida, Ac, B, Alve, Alves, E, Alves, G, Alves, J, Araujo, L, Arruda, V, Augusto, Ga, Baggentoss, R, Balestrassi, L, Barbosa, M, Barcelos, I, Belem, L, de Bem, A, Betti, Rt, Bona, R, Bosco, A, Branda, J, Bronstein, M, Bueno, T, Bulcão, T, Caiado, F, Camazzola, F, Cambréa, Mf, Campos, S, Canani, L, Carra, Mk, Caruso, S, Carvalho, N, Casillo, A, Castro, D, Cavalcanti, T, Cavichioli, V, Cercato, C, Chacra, A, Challela, W, Charchar, H, C, Chave, Chrisman, C, Correia-Deur, J, da Costa, A Jr, Costa, M, Costi, B, Coutinho, P, Coutinho, W, Cunha, Mr, Daher, J Jr, Davini, E, Democh, D Jr, Eliaschewitz, F, Esmanhoto Facin, G, Farias, F, Felício, J, Fernandes, V, Filho, C, Filho, Ff, Filho, M, Fontan, D, Fontenele, Ap, Forti, A, Franco, D, Freire, K, Fusaro, A, Genestreti, P, Gerchman, F, Godi, A, Gomes, Kf, Gonçalves, P, R, Gonçalve, Griz, L, Grossman, M, Gurgel, Mh, Vasconcellos Haddad AW, Halpern, A, Hissa, M, Inuy, A, J, Jaime, Jonasson, T, Jorge, Jc, Malucelli, Fj, Kohara, S, Kramer, C, Lacerda, C, Ladeira, S, Lana, J, Lastebasse, F, Leitão, A, Leite, S, Lerário, Ac, Lima, D, Lima, M, Lippi, V, Lunardi, M, Machado, E, Maia, F, Maia, J, Maia, Kp, Mañas, N, Marchisotti, F, Marinho, C, C, Martin, Figueiredo de Medeiros, F, Melo, A, Melo, F, Mendonca, E, Mendonça, P, Filho, Rm, Miguel, M, Miléo, K, Miyahara, M, Montenegro, Ap, Moraes, A, Moreira, A, Ítalo Mota, J, Mothe, F, Murro, A, Nakatani, V, Napoli, Tf, Neto, Bg, Neto, Oq, Niclewicz, E, Ohe, Ln, Oliveira, F, Oliveira, M, Panarotto, D, Parente, E, Parolin, S, Pechmann, L, Costa da Penha, P, Perlamagna, L, Perotta, B, Pimentel, L, Pinto, M, Poço, C, Ponte, C, Prazeres, P, Quintao, E, Raduan, R, Rassi, Dt, Rassi, N, Reck, L, Montenegro, R Jr, Ribeiro, R, Rodovalho, S, Silveira Rodrigues, G, Rollin, G, Rossi, S, Sabino, C, Sales, Ap, Salles, J, Sampaio, Cr, Santana, L, Sato, V, da Silva Santos, M, Santos, Nl, Santos, R, Saraiva, J, Sartori, C, Sena, R, Sevilha, M, Sgarbi, J, Silva, D, D'albuquerque Silva, L, Silva, Me, Siqueira, K, Soares, S, Sobreira, W, Sousa, B, Souza, Ac, Souza, B, Tambascia, M, Tarantino, R, Tenor, F, Tomarchio, M, Triches, C, Tristão, Lj, Valenti, A, Vasques, E, Vencio, S, Vianna, A, Munhoz Vidotto, T, Vieira, S, Villar, H, Visconti, G, Volaco, A, Wajchenberg, B, Zanatta, L, Zimmerman, L, Abbott, Ec, Abu-Bakare, A, Advani, A, Allison, R, Bishara, P, Bowering, Ck, Cheng, A, Chouinard, S, Clayton, D, Conway, J, D'Amours, M, de Tugwell, B, Deyoung, P, D'Ignazio, G, Dube, F, Ekoe, Jm, Fagan, S, Garceau, C, Gottesman, I, Hanna, A, Harris, S, Hramiak, Im, Hurd, C, Imran, S, Josse, R, Joyce, C, Kaiser, S, Khan, F, I, Kirouac, Kovacs, C, Labonte, I, Langlois, Wj, Levac, Mf, Liutkus, J, Mcdonald, C, Milosevic, V, Nyomba, Bl, Paul, T, Raby, K, Ransom, T, Reichert, Sm, Retnakaran, R, Rabasa-Lhoret, R, Raff, E, Shaikholeslami, R, Sigalas, J, Yip, Ce, Weisnagel, Sj, Woo, V, Bao, Y, Cai, X, Chen, J, Chen, K, Chen, M, Chen, X, Chen, Y, Ji, Y, Lei, J, Li, H, Liu, P, Mu, Y, Ren, M, Ren, Y, Shi, Y, Wang, D, Wang, F, Wang, J, Wang, Y, Yan, L, Yang, G, Yang, J, Yu, X, Yuan, G, Xu, M, Zhao, X, Zheng, J, Zhou, L, Anderlová, K, Brožová, J, Haluzík, M, Hanušová, V, Kosák, M, Křížová, J, Mráz, M, Owen, K, Rušavý, Z, Tomešová, J, Trachta, P, Žourek, M, Andersen, Ph, Boesgaard, T, Christensen, S, Gram, J, Gregersen, S, Henriksen, Je, Hermansen, K, Jakobsen, Pe, Jensen, J, Krogsaa, A, Larsen, M, Lervang, Hh, Madsbad, S, Mortensen, L, Olesen, T, Pietraszek, A, Ridderstråle, M, Safai, N, Schioldan, Ag, Schmidt, C, Snorgaard, O, Stidsen, J, Cederberg, H, Haapamäki, H, Hukkanen, J, Jauhiainen, R, Kujari, Ml, Lahtela, J, Laine, M, Mäkelä, J, Miilunpohja, M, Savolainen, M, Taurio, J, Vänttinen, M, Creton, C, Cosma, Nv, Dillinger, J, Jacques, Jl, Guedj, Am, Moulla, M, Petit, C, Ratsianoharana, V, Richter, D, Rodier, M, Roussel, R, Hinz, A, Politz, E, Esser, M, Deuse, U, Mittag, D, Hagenow, A, Jacob, F, Jordan, R, Gantke, D, Venschott-Jordan, U, Löhr, C, Klausmann, G, Eschenbrücher, K, Karakas, M, Jahrsdörfer, B, Kunze, Mr, Wöhrle, J, König, W, Spielhagen, H, Kilimnik, A, Lüdemann, Hp, Lüdemann, J, Mölle, A, Mölle, M, Müller, J, Appelt, S, Sauter, A, Sauter, J, Hartmann, U, Löw, A, Krötz, F, Sohn, Hy, von Schacky, C, Klauss, V, Braun, D, Segner, A, Degtyareva, E, Kreutzmann, K, Paschmionka, R, Hauck, N, Sihal, O, Busch, Ak, Maus, O, Stübler, P, Füllgraf-Horst, S, Vietzke, A, Müller, C, Tosch-Sisting, R, Lengsfeld, B, Thaler, J, Schaum, T, Steindorf, J, Steindorf, S, König, A, Reitschuster, S, Schlott, D, Clever, Hu, Witzel, P, Kempe, Hp, Stemler, L, Benis, A, Diakoumopoulou, E, Kazakos, K, Kypraios, N, Liatis, S, Pagkalos, E, Siami, E, Tentolouris, N, Alur, Vc, Agrawal, M, Ali, M, Asirvatham, A, Asirvatham, E, Bandgar, Tr, Balaji, M, Bardoloi, N, Baruah, M, Bekur, R, Bhansali, A, Bhatia, S, Bhonsley, S, Bhuyan, S, Borah, B, Bright, N, Ambrish, C, Chaudhury, T, Choudhury, S, Chellan, G, M, Da, Dharmalingam, M, Dutta, P, Erugu, A, Vinutha, Fp, Gunasekaran, P, Das Gupta, R, Iqbal, A, Jagadish, P, Jain, S, Jebasingh, H, John, A, John, M, Kalra, S, Kasaragod, P, Kesavadev, J, Kumar, H, Kumar, P, Lakshmanan, V, Lila, Ar, Mathew, T, Miyen, H, Mohan, T, Motha, A, Murthy, C, Shivashankara, N, Nanaiah, A, Ommen, T, Pani, K, Pandey, K, Paramesh, S, Paramesh, V, Pillai, B, Prabhu, M, Kalki, Rc, Ramachandran, S, Ramu, M, Rao, Y, Reddy, S, Saikia, P, Saravu, K, Selvam, K, Sethi, B, Shankar, A, Sharma, A, Shah, N, Shankar, P, Shetty, R, Shivane, V, Srivalli, S, Thaseen, S, Sarada, S, Shirisha, A, Subramani, M, Balaji, V, Mohan, V, Padmanaban, V, Verma, M, Vidyasagar, S, Walinjkar, V, Walia, R, Davenport, C, Forde, H, Gadintshware, G, Gan, Kj, Khattak, A, O'Connell, J, O'Shea, D, Beilin, V, Cahn, A, Cohen, O, Cukierman-Yaffe, T, Daoud, D, Darawsha, M, Dicker, D, Gavish, A, Hochberg, I, Ilany, J, Inbal, U, Itzhak, B, Karasik, A, Karnieli, E, Khader, N, Khamaisi, M, Lender, D, Lieberman, G, Mahamid, R, Marcoviciu, D, Michael, L, Minuchin, O, Mosenzon, O, Narevichius, F, Percik, R, Potekhin, M, Sabbah, M, Sawaed, S, Schurr, D, Segal, E, Slezak, L, Vollach, I, Zaina, A, Zloczower, M, Zolotov, S, Antenore, A, Arnone, M, Arturi, F, Barbaro, V, Barone, M, Di Biagio, R, Buscemi, C, Buscemi, S, Buzzetti, R, Di Carlo, A, Carlone, A, Caruso, V, Casadidio, I, Cerrelli, F, Ciavarella, A, Cipolloni, L, Colella, A, Colotto, M, Consoli, A, Crippa, Vg, Cuccuru, I, Cufone, S, Desideri, C, Fallarino, M, Febo, F, Filetti, S, Foffi, C, Formoso, G, Frosio, L, Di Fulvio, P, Gambineri, A, Ginestra, F, Grimaldi, M, Lamanna, C, Leto, G, Lucotti, P, Lugarà, M, Lumera, G, Magistro, A, Maranghi, M, Martelli, D, Mattina, A, Monti, Ld, Parise, M, Pedace, E, Perticone, F, Piatti, P, Pompea Antonia Baldassarre, M, Ragghianti, B, Repaci, A, Ribichini, D, Da Ros, S, Rossi, M, Santilli, M, Sesti, G, Setola, E, Succurro, E, Sussolano, E, Tarquini, G, Verga, S, Vitale, V, Alanis, Rr, del Rosario Arechavaleta-Granell, M, de Jesús Beltran Jaramillo, T, de Jesús Rodríguez Berrones DA, Rodríguez Briones, I, Rodríguez Briones, R, Acevedo Castañeda ES, Chapa Grimaldo JB, Flores-Moreno, Ca, Garza Felix, S, Nieto Flores, J, Morales Franco, G, Garza Morán RA, Hernández González SO, González-Gálvez, G, González González JG, Hernández Salazar, E, García Hernández PA, Campos Hurtado, S, López-Velázco, Ml, Cardona Muñóz EG, Nuñez Márquez, R, Campos Moreno OV, Cavazos Oliveros FJ, Haro Ortiz JA, Pelayo-Orozco, E, Sida Perez, P, Vazquez Ramírez, R, Uribe Rios MA, López Rodríguez JC, Rodríguez Rosales, M, Robledo Durón, I, Alvarado Ruíz, R, González Saldivar, G, Reyes Sánchez, R, Sánchez-Michel, Bl, Contreras Sandoval AY, Velasco Gutiérrez, A, Perez Verdín AE, Ramos Zavala MG, Abbink-Zandbergen, E, Ahdi, M, Bugter, A, van Dijk, M, Eisma, G, Erdtsieck, R, Gerards, M, Gerdes, V, Haak, H, Harbers, V, Hoogenberg, K, Huvers, F, Janssen, W, Kars, M, Kooy, A, Lafeber, M, Landewé-Cleuren, S, Lieverse, A, Meesters, E, Moerman, S, van Moorsel, D, Nijhuis, J, Smit, Cj, Thevissen, K, Timmerman Thijssen DM, Willemsen, A, Birkeland, K, Cooper, J, Gulseth, H, Hjelmesæth, J, Jørgensen, P, Kilhovd, Bk, Kulseng, B, Nicolaisen, B, Skadberg, Ø, Wium, C, Antkowiak-Piatyszek, K, Arciszewska, M, Bajkowska-Fiedziukiewicz, A, Bogdanski, P, Czubek, U, Cypryk, K, Dabrowski, J, Dabrowska, M, Dziedzic, S, Dziewit, T, Faligowska, M, Fedor-Plenkowska, G, Gajos, G, Galicka-Latala, D, Galuszka-Bilinska, A, Gladysz, I, Grycewicz, J, Hachula, G, Janas, I, Jazwinska-Tarnawska, E, Jedynasty, K, Jozefowska, M, Kaminska, A, Katra, B, Kitowska-Koterla, J, Klupa, T, Koblik, T, Konduracka, E, Konieczny, J, Konieczny, M, Kosinski, M, Kulkowski, G, Kunecki, M, Kurmaniak, M, Lesniewski, R, Lominska, T, Losa, B, Majkowska, D, Malecki, M, Mirocka, J, Misztal, M, Mruk, K, Musialik, K, Olejniczak, H, Opadczuk, P, Peczynska, J, Plinta, M, Polaszewska-Muszynska, M, Przech, E, Pupek-Musialik, D, Ruzga, Z, Scibor, Z, Sidorowicz-Bialynicka, A, Siegel, A, Stankiewicz, A, Strzelecka-Sosik, A, Swierszcz, T, Szulinska, M, Szymkowiak, K, Trybul, I, Witek, P, Wozniak, I, Zambrzycki, J, Zarzycka-Lindner, G, Zuradzka-Wajda, D, Zurawska-Klis, M, Ahn, Hy, Chin, So, Choi, Sh, Chon, S, Han, Ka, Jang, Hc, Jeong, Kc, Kang, Sm, Kim, Jw, Kim, H, Kim, Sj, Kim, Sw, Kim, Y, Lee, Ey, Lim, S, Min, Kw, Nam, Jy, Oh, Sj, Park, Sy, Rhee, Sy, Shin, Ja, Son, Ji, Song, Yd, Woo, Jt, Yang, Hk, Yoo, J, Yoon, Jw, Avram, R, Braicu, Md, Carlan, L, Catrinoiu, D, Ciomos, D, Ciorba, A, Ghise, G, Girgavu, S, Guja, C, Mihai, D, Nicodim, S, Nistor, L, Pintilei, Dr, Pintilei, E, Pletea, N, Pop, A, Rosu, M, Savu, O, Serban, V, Sima, A, Sitterli-Natea, C, Suciu, G, Szabo, M, Szilagyi, I, Timar, B, Vlad, A, Vladu, Im, Alfaraj, A, Dubova, V, Dvoryashina, I, Gaysina, L, Gromova, S, Gudkova, K, Ivanova, S, Ivashkina, I, Kalashnikova, M, Kazankova, T, Khaykina, E, Khaykina, O, Kiseleva, T, Komissarova, E, Kononenko, I, Koreneva, V, Koshcheeva, O, Koshel, L, Kozachuk, D, Kufelkina, T, Kunitsyna, M, Likhodey, N, Lysenko, T, Makarova, O, Malceva, A, Mikhailova, S, Ogorodnikova, E, Pavlikova, I, Pekareva, E, Postoeva, A, Reshedko, D, Reshedko, G, Reshedko, L, Rogaleva, A, Rogova, L, Rozanov, D, Runov, G, Samylina, I, Semikina, T, Sergeeva-Kondrachenko, M, Shatskaya, O, Shimokhina, O, Smetanina, S, Startseva, M, Strelkova, A, Suplotova, L, Suvorova, L, Sych, Y, Valeeva, A, Valeeva, F, Venjkova, T, Vinokurova, V, Voychik, E, Yanovskaya, E, Yanovskaya, M, Yarkova, N, Yarygina, E, Yuzhakova, N, Zakharova, T, Zanozina, O, Zenovko, A, Zhuk, S, Zhukova, E, Aleksic, S, Bulatovic, A, Buric, B, Cvijovic, G, Jelic, Ma, Jojic, B, Jotic, A, Kendereski, A, Lalic, K, Lukic, L, Macesic, M, Petkovic, Mm, Micic, D, Milicic, T, Popovic, L, Prostran, M, Rajkovic, N, Seferovic, J, Singh, S, Stojanovic, R, Stosic, L, Vuksanovic, M, Zamaklar, M, Zivkovic, Tb, Zoric, S, Aboo, N, Albertse, Hw, Badat, A, Basson, M, Bawa, E, Bester, F, Blignaut, S, Booysen, S, Bosch, Fj, Burgess, L, Cassimjee, S, Coetzee, K, Du Bois, J, Engelbrecht, J, Finegan, K, Gibson, Gj, Hansa, S, Hemus, A, Immink, Ip, Jacovides, A, Joshi, P, Joshi, S, Kapp, C, Khoelemachobane, S, Uys Knox HJ, Kok, J, Komati, S, Lai, E, Lakha, D, Lehloenyane, K, Mahomed, Ag, Meeding, R, Moodley, R, Moosa, N, Nel, J, Nell, H, Van Niekerk FJ, Pillay, N, Pretorius, M, Prozesky, H, Ramduth, S, Roos, J, Sarvan, M, Seeber, M, Siebert, M, Somasundram, P, Stavrides, A, Venter, N, Wadvalla, S, Alcolea, Jo, Álvarez de Arcaya Vicente, A, Pérez Arroyo MB, Romero Bobillo, E, Buño, Mm, Carreira Arias JN, Cepero García, D, Masmiquel Comas, L, Coves Figueras MJ, de la Cuesta Mayor, C, Feria-Carot, Md, Frade Fernández AM, Ferreiro Gómez, M, García García, C, García Delgado, E, Durán García, S, Gómez Gómez LA, Soto González, A, Hernán García, C, Ángeles Tapia Herrero, M, Jodar Gimeno, E, Quevedo Juanals, J, López Jiménez, M, Masanes, F, Marco Mur ÁL, Navarro López, M, Ramis, Jn, Palmer, Ag, Calle Pascual, A, Romero Pérez LG, Morales Portillo, C, Prieto González, S, Mezquita Raya, P, Reyes García, R, Vera, Tr, Rodríguez Castro, C, Rodríguez Rodríguez, I, Sacanella Meseguer, E, Serrano Olmedo, I, Lopez Soto, A, Toba Alonso, F, Aliaga Verdugo, A, Vidal Cortada, J, Vigil Medina, L, Ackefelt-Frick, E, Alfredsson, H, Beling, E, Benedek, P, Crisby, M, Dorkhan, M, Drescik, T, Eeg-Olofsson, K, Eliasson, K, Fardelin, P, Fredholm, A, Frid, A, Gerok-Andersson, K, Hjelmaeus, L, Hufnagl, A, Jasinska, E, Kowalska, E, Lafolie, P, Lindquist, O, Lundvall, M, Melander, E, Nicander, C, Moris, L, Tengmark, Bo, Saphir, U, Skagerberg, P, Steczkó-Nilsson, C, Strandell, B, Tomson, Y, Chen, Jy, Chen, Yc, Chiang, Cy, Chou, Cw, Ho, Cw, Hsiao, Pj, Hsieh, Mc, Hsu, R, Hsu, Sr, Huang, Ch, Hung, Ww, Lee, My, Lee, Ym, Lin, Cw, Lin, Ch, Lin, Kd, Lin, Sd, Lin, Sf, Liou, Mj, Lu, Wt, Shin, Sj, Sia, Hk, Su, Mh, Su, Sl, Sun, Jh, Tien, Kj, Tsai, Dh, Tsai, S, Tu, St, Wang, Cc, Wang, Sy, Yang, Cy, Yen, Fc, Acikgoz, A, Akalin, S, Akin, S, Akinci, B, Akkurt, A, Akturk, M, Alkis, N, Altun, I, Altunbas, Ha, Altuntas, Y, Araz, M, Aribas, S, Arslan, E, Arslan, G, Arslan, M, Ataoglu, Eh, Ayan, F, Aydin, K, Aydogan, Bi, Ayvaz, G, Bahadir, Ma, Balci, Mk, Basaran, Mn, Baskal, N, Bugra, Mz, Calan, M, Cavdar, U, Cetin, F, Cinar, N, Colbay, M, Dagdelen, S, Damci, T, Davutoglu, V, Demir, M, Demir, T, Deyneli, O, Dincer, I, Dogan, B, Kanipek Doker KY, Engin, I, Eraydin, A, Erbas, T, Erdogan, Mf, Ersoy, C, Gedik, A, Gokay, F, Gul, Oo, Guler, S, Gumus, T, Gunes, E, Gurler, My, Hatipoglu, E, Ilkova, H, Iyidir, Ot, Kabakci, G, Karadag, B, Karatemiz, G, Karci, Ac, Kartal, E, Kaya, Eb, Keskin, C, Keskin, Ef, Kocabas, G, Kocak, F, Kol, Ak, Korkmaz, H, Kucukler, Fk, Mesci, Ba, Oguz, A, Orbay, E, Oz, H, Ozcan, Nd, Ozdem, S, Ozisik, S, Ozkan, C, Ozsan, M, Ozyazar, M, Parlar, H, Sargin, H, Sargin, M, Saygili, F, Selek, A, Simsek, Y, Sisman, P, Solmaz, K, Soydas, C, Tatliagac, S, Tamer, I, Temizkan, S, Tulunay, C, Tuncel, E, Turker, F, Unluhizarci, K, Unluturk, U, Uygur, Mm, Vatansever, B, Yazici, D, Yavuz, Dg, Yener, S, Yenigun, M, Yilmaz, M, Abbas, S, Alawadi, F, Aziz, Aa, Bashier, A, Rashid, F, Abraham, P, Adamson, K, Atkin, S, Aye, M, Azam, M, Barnett, Ah, Bellary, S, Dhatariya, K, Eaton, M, English, P, Ewing, J, Furlong, N, Gibson, M, Green, D, Herring, R, Hordern, V, Jaap, A, Javed, Z, Johnson, A, Konya, J, Kumar, S, Lindsay, R, Mackie, A, Mcglynn, S, Mckenzie, J, Millward, A, Murthy, N, Paisey, R, Pearson, E, Piya, M, Ramell, M, Robertson, D, Russell-Jones, D, Saravanan, P, Sathyapalan, T, Shakher, J, Shiels, H, Sivaraman, S, Smith, J, Srinivas-Shankar, U, Stokes, J, Tracey, I, Vaidya, B, Yee, M, Yemparala, P, Walker, J, Wiggins, P, Williams, J, Wright, J, Mackinnon, C, Inkster, J, Zeeshan, J, Bejnariu, C, Malipatil, N, Giritharan, S, Lonnen, K, Kyrou, I, Aamir, S, Ababa, M, Abreu, M, Adams, D, Adams, P, Aden, J, Aguilar, D, Aguillon, A, Ahmed, A, Ahmed, B, Ahmed, I, Akhtar, A, Akright, B, Akright, L, Albarracin, C, Albert, S, Ali, S, Aliuddin, B, Almasmary, A, Al-Maweri, A, Alzohaili, O, Amador, W, Amine, M, Amini, S, Anderson, M, Anderson, L, Anderson, R, Andrews, M, Angel, J, Anteer, W, Anthony, V, Antillon, A, Anzures, P, Arcon-Rios, S, Arkin, D, Arodak, B, Aronne, L, Aronoff, S, Arreola, G, Arroyo, S, Asnani, S, Astudillo-Tee, G, Ault, S, Austin, B, Avila, V, Avitabile, N, Awasty, V, Azar, M, Aziz, A, Bahrami, P, Baig, M, Bailey, K, Bailey, T, Baker, M, Bala, N, Balbes-Reyes, I, Baldwin, D, Baldwin, E, Balentine, T, Ballard, T, Baloch, K, Banarer, S, Baney, C, Banka, A, Barber, L, Barber, M, Barker, T, Barnes, K, Barnum, O, Barra, J, Bartkowiak, A, Baula, G, Bautista, A, Bayliss, R, Beaman, M, Beatty, K, Becker, J, Bedolla, L, Begum, G, Belejchak, P, Bell, A, Beltran, M, Belucher, C, Bensfield, E, Benton, J, Bergamo, K, Bergman, B, Berry, M, Bettino, K, Beyea, M, Bhargava, A, Bhattacharya, A, Bilas, A, Bischoff, L, Bixler, L, Bizjack, S, Blank, R, Blankfield, R, Block, L, Bloodworth, J, Bloomberg, K, Bloomberg, R, Blustin, J, Boban, I, Bolden, A, Boncu, O, Bookless, P, Brassie, C, Brautigam, D, Bressler, P, Brewster, R, Brown, C, Brown, D, Brown, F, Bruskewitz, M, Bryant, D, Buchanan, C, Buchanan, N, Buck, G, Buckley, S, Bueno, J, Burke, D, Burton, K, Buske, S, Byars, W, Bye, R, Caldwell, R, Calvin, K, Camacho, R, Campbell, E, Cannon, D, Cantrell, J, Caplan, J, Cardenas, C, Carlton, J, Carpio, G, Carrol, A, Cartwright, L, Casanova, G, Castaneda, L, Castle, M, Castro, L, Catangay, J, Chaidarun, S, Chambers, J, Chambliss, T, Chandra, L, Chang, A, Chang, S, Chappel, J, Chappel, C, Chappell, T, Charles, C, Chavira, A, Chaykin, L, Check, E, Chee, L, Cherry, A, Chestnut, A, Chiarot, J, Chiniwala, N, Chionh, K, Choe, J, Christiansen, M, Chrzanowski, S, Chuang, E, Chuck, L, Clyatt, J, Cohan, B, Cohen, R, Comi, R, Comulada-Rivera, A, Conner, K, Connor, G, Contreras, R, Cook, K, Cook, R, Corder, C, Cornejo, B Sr, Cornette, L, Cortes, G, Cortez, L, Cox, C, Cox, G, Craig, W, Cramer, B, Cromer, C, Cromer, M, Cuddihy, R, Culmer, D, Curran, H, Curran, M, Dadis, C, Dagogo-Jack, S, Dairywala, I, D'Alessio, D, Damberg, G, Dang, A, Daniel, K, Davidson, M, Dean, J, Debold, R, Deitz, P, M, Del, Delaney, D, Delgado, E, Demicco, M, Demuro, Ma, Desalle, D, Desouza, C, Devireddy, K, Devries, B, Dezube, M, Diab, I, Diesburg-Stanwood, A, Dilliard, J, Dilling, J, Diner, J, Dishongh, K, Dodis, R, Doing, C, Doll, W, Donoho, A, Donovan, D, Doremus, N, Dorfman, S, Doshi, P, Dostou, J, Douglas, D, Douglass, S, Dowell, M, Drazich, E, Driver, E, Du, H, Dubose, R III, Duclos, M, Dunn, K, Dunnam, T, Durham, N, Dye, L, Eagerton, D, Ebenibo, S, Edeoga, C, Edwards, G, Ekwensi, J, El Asmar, I, El Sayad, N, Eliopoulos, C, Elkosseifi, M, Elmer, R, Elmore, M, Elson, D, Elzein, L, Emmert, L, Erbe, L, Estes, S, Estrada, L, A, Estrada, Eveleigh, T, Everhart, B, Faas, F, Faircloth, C, Farmer, M, Fehr, K, Ferguson, T, Fernandes, J, Ferree, K, Ferrington, B, Fitzhugh, M, Fitzsimmons, R, Flanders, D, M, Flore, E, Flore, Flores, J, Florida, C, Flynn, J, Folmar, P, Forbes, R, Ford, W, Fowler, M, Fraker, A, Francis, S, Franco-Cotto, E, Fratila, C, Fuentes, M, Galagan, R, Galloway, A, Garcia, M, Garcia, R, Garriott, M, J, Garza, Gass, N, Gates, S, Geary, M, Geiger, K, Geishauser, J, Giglio, A, Gilbert, M, Godwin, S, Goetter, B, Goley, A, Golici, L, Gomori, E, Gonzales, J, Gore, A, Gorman, T, Gosmanova, A, Goswami, K, Gotham, A, Govoni, J, Graddick, S, Grant, T, Greca, A, Green, C, Greenbaum, K, Greenwald, J, Grover, D, Grunberger, G, Guice, M, Guirao, D, Gunna, V, Guseva, N, Ha, T, Hagan, A, Hager, S, Haggag, A, Haggar, M, Hamilton, M, Hamlet, P, Hammond, J, Hansen, A, Harrell, W, Harris, E, Harris, K, Harris, M, Harrison, L, Hartman, I, Hatch, A, Hayes, D, Hayes, M, Heath, J, Heineman, R, Heinzman, A, Hendrick, M, Herbst, R, Hermayer, K, Hibbard, J, Hill, Wd, Hilliard, B, Hix, M, Hoch, B, Hollander, P, Holmes, Z, Horobetz, C, Horowitz, R, Hsieh, P, Hsieh, S, Htun, W, Huang, J, Huber, C, Hudson, T, Huizar, S, Hull, B, Hull, J, Hummer, K, Hundal, R, Hunt, G, Hunt, V, Hutchinson, P, Hwang, J, Iannamorelli, A, Iannuzzi, L, Ingram, M, Iram, N, Ismail-Beigi, F, Jabbour, S, Jackson, T, Jaen, L, Jain, V, Jannesari, R, Januski, V, Japa, U, Jarvis, K, Jayson, L, Jensen, R, Jester, D, Jocko, C, Johnson, C, Johnson, M, Johnston, K, Jones, D, Jones, J, Jordan, T, Juarez, M, Kaapuraala, A, Kain, A, Kaiser, V, Kamradt, K, Karatoprakli, P, Karegar, M, Karounos, C, Karounos, D, Karunaratne, H, Katalenich, B, Katic, K, Katz, M, Kaur, G, Kawa, A, Keib, C, Keider, G, Kem, D, Kennedy, R, Kenney, B, Kereiakes, D, Ketana, M, Kettinger, L, Khaira, A, Khan, A, Khan, K, Khan, M, Khoo, T, Khrlobyan, N, Kilgore, J, Kim, G, Kimble, S, Kinsley, M, Kitchen, T, Klick, M, Kniffen, W, Knight, R, Kodzwa, D, Koenig, T, Komarovskiy, K, Kong, Y, Koontz, D, Krishnasamy, S, Krueger, E, Kuechenmeister, L, Kuehl, A, Kuettel, K, Kugler, D, Kulow, T, Kupriyanchik, I, Kuruvanka, T, Kushner, D, Kwon, E, Kwon, S, Kyle, M, Labryer, L, Labuda, J, Lafave, J, Laguerre, J, Laliberte, A, Lane, J, Langel, C, Lann, D, Largay, J, Latif, K, Latus, T, Lawrence, J, Ledger, G, Lee, Fg, Lee, E, Leffert, J, Leinung, M, Lenhard, Mj, Lentino, J, Leon, J, Leonard, M, Letassy, N, Leuck, K, Levin, P, Levinson, D, Lewis, M, Light, T, Lim, J, Lindamood, R, Lingvay, I, Lipps, J, Lisa, A, Livingston, Y, Llamas, L, Loesch, R, Long, T, Looby, R, Lopez, C, Lorenz, T, Lovre, D, Lu, P, Lucas, K, Luevano, G, Luidens, M, Luna, B, Luttrell, L, Lyons, T, Macadams, M, Mack, D, Mack, M, Madden, M, Madder, R, Madireddy, S, Mae, L, Mahakala, A, Maheshwari, H, Malbari, H, Maldonado, N, Mallitz, M, Mandviwala, M, Mann, K, Mardahay, M, Marino, J, Marney, A, Marshall, L, Martin, A, Martin, E, Martinez, G, Martinez-Miss, S, Marx, P, Massara, L, Mastoor, M, Matfin, G, Maturu, A, Maurides, P, May, M, Mayfield, R, Maynard, B, Mazza, A, Mccann, K, Mccoy, J, Mccoy, T, Mccullen, Mk, Mcdaniel, C, Mcdaniel, Am, Mcdermott, M, Mcdonald, A, Mcmasters, B, Mcmurray, C, Medlin, T, Meinel, M, Mendez, I, Menefee, J, Meredith, M, Merriweather, M, Mersey, J, Messino, C, Meyer, S, Meyers, L, Michael, D, Midyett, C, Miklius, A, Milford, E, Miller, B, Miller, H, Milligan, M, Minor, A, Miranda-Palma, B, Mirarchi, N, Mittadodla, S, Mittle, J, Moffat, A, Mohaupt, S, Mohiuddin, K, Mokshagundam, S, Monaco, S, Monsaert, R, Montano-Pereira, C, Montgomery, A, Moody, K, Moon, M, Moore, D, Moore, L, Morawski, E, Moreau, C, Morin, D, Moscoa, C, Motzkin, C, Mueller, R, Munoz, C, Munoz, M, Myneni, A, Naderi, B, Nagireddy, P, Naidu, J, Naidu, R, Naik, S, Naimark, R, Nardicchi, M, Ndukwu, I, Neller, C, Netten-Foster, L, Neumiller, J, New, T, Newman, S, Newton, T, Nguyen, B, Nicol, B, Nicol, P, Ninivaggi, L, Niswender, K, Norman, L, Noworatzky, G, Nyenwe, E, O'Brien, H, O'Connell, T, Oden, W, Odugbesan, A, Oliver, M, Oliver, T, Olmeda, C, O'Neil, C, Oremus, R, Ortega, T, Ortiz-Santos, S, Osborn, T, Padmanabhan, S, Papacostea, O, Park, I, Parker, A, Parker, K, Parker, R, Patel, C, Patel, M, Patel, R, Patino, M, Patterson, S, Paulson, K, Paz, A, Pemba, R, Pepe, C, Perez, J, Perez, T, Perry, D, Phillips, B, Phillips, J, Pickett, A, Pinson, M, Pitzer, R, Poduri, M, Poehls, J, Poteat, T, Powell, L, Prasad, S, Prevost, J, Price, E, Priest, D, Prieto, L, Purewal, T, Purighalla, R, Purighalla, U, Quadrel, M, Qureshi, A, Radhamma, R, Rafla, E, Rajab, H, Ramalingam, R, Ramirez, A, J, Ramirez, Ramirez, K, Ramirez, M, Randall, M, Rangaraj, U, Rao, V, Rasmussen, P, Rasouli, N, Ray, A, Reed, J, Rems, L, Renaud, K, Reno, M, Resnick, M, Reusch, J, Reynolds, L, Rhoton, K, Rhudy, J, Ricci, C, Rice, L, Richardson, A, Richardson, L, Rickard, H, Rickels, M, Riff, D, Rightenour, N, Risser, J, Rizvi, A, Robertson, J, Robinson, A, Robinson, R, Rockwell, M, Rodriguez, Jp, Rodriguez, M, Rojas, M, Rojas, W, Rooker-Morris, L, Root, C, Rose, M, Rosenberg, R, Rosenstock, J, Roth, M, Ruby, R, Sachson, R, Sack, P, Sadler, Rk, Sahai, S, J, Salazar, Salgam, M, Samal, A, Samson, A, Sanagorski, R, Sanchez, A, Sandberg, J, Sanderson, M, Sandoval, J, Santiago, E, Sapp, T, Saunders, J, Schill, J, Schott, C, Schreiman, R, Schu, D, Schuh, K, Schutta, M, Schwartz, J, Schweppe, L, Scofield, H, Scribner, A, Seal, J, Sealock, J, Seaton, B, Sedlak-Hanslik, T, Seekins, K, Segal, M, Seggelke, S, Semenza, S, Sentman, P, Serra, M, Seshadri, P, Sevilla, E, Shah, S, Shaheen, K, Shanik, M, Shaw, J, Sheets, M, Shellabarger, C, Sher, J, Shippey, J, Shivaswamy, V, Shomali, M, Shore, D, Shroff, P, Siddiqui, T, Siegwald, A, Silver, R, Simmons, D, Simons, R, Sinan, A, Singh, M, Sirinvaravong, S, Skero, J, Slover-Zipf, J, Small, S, Smith, B, Smith, K, Smith, M, Sohl, J, Solarz, Sh, Soler, D, Sood, A, Sora, N, Souchet, A, Soule, J, Sparks, J, Spector, L, Speicher, R, Spillers, L, Spivey, T, Springer, N, Sprouse, H, St John, J, Stacey, A, Stacey, H, Stafford, M, Stagner, E, Staples, K, Steadman, E, Steed, R, Steeves, G, Steinberg, H, Stell, C, Stirman, E, Straub, K, Strock, E, Sue, M, Suris, O, Sutton, T, Tabbah, I, Talsania, M, Tang, R, Tapia, J, Taylor, K, Taylor-Hancher, R, Teator, R, Tekateka, M, Temple, B, Temple, K, Teodori, M, Tharp, P, Thethi, T, Theuma, P, Thomas, S, Thottan, A, Thrasher, J, Thrasher, L, Tiemeyer, M, Tinney, I, Tobin, T, Toma, S, Tovar, M, Townsend, J, Trantow, C, Traylor, H, Trevino, M, Troy, M, Trumper, D, Tryggestad, J, Tucker, C, Turner, J, Turney, R, Tuten, C, Tyzack, J, Ullo, L, Underkofler, C, Unger, J, Urdanetta, R, Valdivia, V, Valenti, S, Vanderheiden, A, Vanderlinde-Wood, M, Varma, C, Vasquez, E, Vazquez, M, Vickery, D, Villafuerte, B, Villegas, C, Vivar, J, Vivekananthan, K, Vo, G, Vukojicic, K, Wachter, A, Wahl, D, Waitmann, J, Walker, D, Walsh, J, Walsh, K, Walton, A, Wang, A, Wardell, K, Watkins, S, Watkinson, J, Watts, M, Watwe, V, Weaver, N, Weber, R, Wedick, C, Weeks, D, Weeks, L, Weindorff, K, Weinstein, R, Weiss, S, Wenger, K, Wentworth, M, Werner, A, West, M, Whelan, S, White, B, White, J, Whitmire, M, Whittington, R, Wical, J, Wigley, C, Wilkins, F, Will, K, Williams, A, Wilson, Le, Wince, M, Wine, S, Winkle, P, Winner, C, Wise, J, Witte, M, Wittenmyer, J, Wood, C, Wood, R, Woodruff, C, Worthington, B, Wynn, D, Wysham, C, Xavier, P, Yela, S, Yenoby, L, Young, L, Younus, N, Yourell, V, Zaid, M, Zubair, I., Mann J.F.E., Orsted D.D., Brown-Frandsen K., Marso S.P., Poulter N.R., Rasmussen S., Tornoe K., Zinman B., Buse J.B., and Buscemi S.
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Male ,Settore MED/09 - Medicina Interna ,Acute Kidney Injury ,Aged ,Albuminuria ,Creatinine ,Diabetes Mellitus, Type 2 ,Diabetic Nephropathies ,Double-Blind Method ,Female ,Follow-Up Studies ,Glomerular Filtration Rate ,Glucagon-Like Peptide 1 ,Humans ,Hypoglycemic Agents ,Intention to Treat Analysis ,Kidney Failure, Chronic ,Liraglutide ,Middle Aged ,Type 2 diabetes ,030204 cardiovascular system & hematology ,urologic and male genital diseases ,GLOMERULAR-FILTRATION-RATE ,KIDNEY-FUNCTION ,DISEASE ,law.invention ,Kidney Failure ,chemistry.chemical_compound ,0302 clinical medicine ,Randomized controlled trial ,law ,Medicine ,Settore MED/49 - Scienze Tecniche Dietetiche Applicate ,Chronic ,RISK ,Kidney ,Acute kidney injury ,11 Medical And Health Sciences ,General Medicine ,medicine.anatomical_structure ,TRIAL ,liraglutide, randomized controlled trial, type 2 diabetes, renal outcomes ,Life Sciences & Biomedicine ,Type 2 ,medicine.drug ,medicine.medical_specialty ,Renal function ,030209 endocrinology & metabolism ,CARDIOVASCULAR OUTCOMES ,Follow-Up Studie ,03 medical and health sciences ,Medicine, General & Internal ,General & Internal Medicine ,Diabetes mellitus ,Internal medicine ,Diabetes Mellitus ,Intensive care medicine ,Science & Technology ,business.industry ,MORTALITY ,medicine.disease ,INTENSIVE GLUCOSE CONTROL ,INDIVIDUALS ,chemistry ,Diabetic Nephropathie ,LEADER Steering Committee and Investigators ,business - Abstract
BACKGROUND: In a randomized, controlled trial that compared liraglutide, a glucagon-like peptide 1 analogue, with placebo in patients with type 2 diabetes and high cardiovascular risk who were receiving usual care, we found that liraglutide resulted in lower risks of the primary end point (nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular causes) and death. However, the long-term effects of liraglutide on renal outcomes in patients with type 2 diabetes are unknown. METHODS: We report the prespecified secondary renal outcomes of that randomized, controlled trial in which patients were assigned to receive liraglutide or placebo. The secondary renal outcome was a composite of new-onset persistent macroalbuminuria, persistent doubling of the serum creatinine level, end-stage renal disease, or death due to renal disease. The risk of renal outcomes was determined with the use of time-to-event analyses with an intention-to-treat approach. Changes in the estimated glomerular filtration rate and albuminuria were also analyzed. RESULTS: A total of 9340 patients underwent randomization, and the median follow-up of the patients was 3.84 years. The renal outcome occurred in fewer participants in the liraglutide group than in the placebo group (268 of 4668 patients vs. 337 of 4672; hazard ratio, 0.78; 95% confidence interval [CI], 0.67 to 0.92; P=0.003). This result was driven primarily by the new onset of persistent macroalbuminuria, which occurred in fewer participants in the liraglutide group than in the placebo group (161 vs. 215 patients; hazard ratio, 0.74; 95% CI, 0.60 to 0.91; P=0.004). The rates of renal adverse events were similar in the liraglutide group and the placebo group (15.1 events and 16.5 events per 1000 patient-years), including the rate of acute kidney injury (7.1 and 6.2 events per 1000 patient-years, respectively). CONCLUSIONS: This prespecified secondary analysis shows that, when added to usual care, liraglutide resulted in lower rates of the development and progression of diabetic kidney disease than placebo. (Funded by Novo Nordisk and the National Institutes of Health; LEADER ClinicalTrials.gov number, NCT01179048 .).
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- 2017
10. RelDenClu: A Relative Density based Biclustering Method for identifying non-linear feature relations
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Jain, Namita, Ghosh, Susmita, and Murthy, C. A.
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,ComputingMethodologies_PATTERNRECOGNITION ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition ,Machine Learning (cs.LG) - Abstract
The existing biclustering algorithms for finding feature relation based biclusters often depend on assumptions like monotonicity or linearity. Though a few algorithms overcome this problem by using density-based methods, they tend to miss out many biclusters because they use global criteria for identifying dense regions. The proposed method, RelDenClu uses the local variations in marginal and joint densities for each pair of features to find the subset of observations, which forms the bases of the relation between them. It then finds the set of features connected by a common set of observations, resulting in a bicluster. To show the effectiveness of the proposed methodology, experimentation has been carried out on fifteen types of simulated datasets. Further, it has been applied to six real-life datasets. For three of these real-life datasets, the proposed method is used for unsupervised learning, while for other three real-life datasets it is used as an aid to supervised learning. For all the datasets the performance of the proposed method is compared with that of seven different state-of-the-art algorithms and the proposed algorithm is seen to produce better results. The efficacy of proposed algorithm is also seen by its use on COVID-19 dataset for identifying some features (genetic, demographics and others) that are likely to affect the spread of COVID-19.
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- 2018
- Full Text
- View/download PDF
11. ACCURACY OF FINE NEEDLE ASPIRATION CYTOLOGY OF THYROID SWELLINGS
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Ramesh V L, Ramu R, and Narayana Murthy C
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medicine.medical_specialty ,medicine.anatomical_structure ,business.industry ,Fine needle aspiration cytology ,Thyroid ,medicine ,Radiology ,business - Published
- 2014
12. Multivariate Dependency Measure based on Copula and Gaussian Kernel
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Roy, Angshuman, Goswami, Alok, and Murthy, C. A.
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FOS: Computer and information sciences ,Statistics - Machine Learning ,FOS: Mathematics ,Statistics::Methodology ,Machine Learning (stat.ML) ,Mathematics - Statistics Theory ,Statistics Theory (math.ST) - Abstract
We propose a new multivariate dependency measure. It is obtained by considering a Gaussian kernel based distance between the copula transform of the given d-dimensional distribution and the uniform copula and then appropriately normalizing it. The resulting measure is shown to satisfy a number of desirable properties. A nonparametric estimate is proposed for this dependency measure and its properties (finite sample as well as asymptotic) are derived. Some comparative studies of the proposed dependency measure estimate with some widely used dependency measure estimates on artificial datasets are included. A non-parametric test of independence between two or more random variables based on this measure is proposed. A comparison of the proposed test with some existing nonparametric multivariate test for independence is presented., This work is postponed
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- 2017
13. Monitoring of seasonal dryness/wetness conditions using shortwave angle slope index for early season agricultural drought assessment
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Srirama Murthy C, Prabir Kumar Das, and Seshasai Mvr
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lcsh:GE1-350 ,Early season ,Meteorology ,lcsh:Risk in industry. Risk management ,Shortwave infrared ,Normalized Difference Vegetation Index ,lcsh:TD1-1066 ,lcsh:HD61 ,Geography ,Climatology ,medicine ,General Earth and Planetary Sciences ,Dryness ,Moderate-resolution imaging spectroradiometer ,medicine.symptom ,lcsh:Environmental technology. Sanitary engineering ,Shortwave ,lcsh:Environmental sciences ,General Environmental Science ,Crop season - Abstract
In the present study, shortwave angle slope index (SASI) was derived from near-infrared (NIR), shortwave infrared 1 (SWIR1) and shortwave infrared 2 (SWIR2) bands of Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m 8-day composite images in three meteorological sub-divisions of India. The SASI, sensitive to surface wetness, was found to be strongly correlated with rainfall and its seasonal profiles were able to distinguish the early season drought incidents. Comparison between normalized difference vegetation index (NDVI) and SASI showed that during the beginning of the crop season, SASI was relatively better in discriminating the surface dryness conditions prevailing in different years. The SASI, integrated over the period of June to August, better captured the changing dryness/wetness patterns in different years. A normal SASI profile was developed by averaging the SASI values of two normal years. Integrated SASI (InSASI) was computed for the normal SASI profile. Week-wise area under a SASI curve was computed. Based on deviations from the area under the normal SASI curve, dryness/wetness patterns in terms of normal, moderate dry and severe dry were mapped for June, July and August, separately. These patterns are in good agreement with India Meteorological Department rainfall deviations. The study concludes that the early season/sowing-period agricultural drought assessment based on SASI and InSASI could complement the existing vegetation index-based agricultural drought monitoring mechanism.
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- 2014
14. Sparsity Measure of a Network Graph: Gini Index
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Goswami, Swati, Murthy, C. A., and Das, Asit K.
- Subjects
Social and Information Networks (cs.SI) ,FOS: Computer and information sciences ,Physics - Physics and Society ,G.2.2 ,G.2.3 ,Discrete Mathematics (cs.DM) ,FOS: Physical sciences ,Computer Science - Social and Information Networks ,Physics and Society (physics.soc-ph) ,68R10, 05C82 ,Computer Science - Discrete Mathematics - Abstract
This article examines the application of a popular measure of sparsity, Gini Index, on network graphs. A wide variety of network graphs happen to be sparse. But the index with which sparsity is commonly measured in network graphs is edge density, reflecting the proportion of the sum of the degrees of all nodes in the graph compared to the total possible degrees in the corresponding fully connected graph. Thus edge density is a simple ratio and carries limitations, primarily in terms of the amount of information it takes into account in its definition. In this paper, we have provided a formulation for defining sparsity of a network graph by generalizing the concept of Gini Index and call it sparsity index. A majority of the six properties (viz., Robin Hood, Scaling, Rising Tide, Cloning, Bill Gates and Babies) with which sparsity measures are commonly compared are seen to be satisfied by the proposed index. A comparison between edge density and the sparsity index has been drawn with appropriate examples to highlight the efficacy of the proposed index. It has also been shown theoretically that the two measures follow similar trend for a changing graph, i.e., as the edge density of a graph increases its sparsity index decreases. Additionally, the paper draws a relationship, analytically, between the sparsity index and the exponent term of a power law distribution, a distribution which is known to approximate the degree distribution of a wide variety of network graphs. Finally, the article highlights how the proposed index together with Gini index can reveal important properties of a network graph., 15 pages with 6 figures
- Published
- 2016
15. STUDY HABITS AND DEMOGRAPHIC CHARACTERSTICS LEARNERS’ ATTRIBUTES AND PERCEPTIONS OF EFFECTIVENESS OF GENDER-SENSITIVE AND RESPONSIVE TEXTS AND TUTORIALS OF OPEN SCHOOL OF BANGLADESH OPEN UNIVERSITY
- Author
-
YEASMIN, Sabina, MURTHY, Chandu, and MURTHY, C. R. K.
- Subjects
SLM,f2f,tutor,learner,gender,learning,stereotype etc - Abstract
Open School (OS) of the Bangladesh Open University (BOU) has passed more than an era in imparting school education at par to the formal education using mainly self-learning materials (SLMs) and face-to-face (f2f) tutorial sessions at the weakened near to the learners’ place. Both male and female have been the learners of the OS programs named Secondary School Certificate (SSC) for grade-9-10 and Higher Secondary Certificate (HSC) for grade 11-12. There have always been questions; do tutors provide a gender-sensitive learning environment -are girls encouraged to answer questions, do the texts present stereotypical images of girls? This paper aims to study on this issue. Selected stakeholders including learners are interviewed as per the objectives of the study. Subject group of this study is learners and tutors and the control group is non-user of OS SLMs. The questionnaires and interviews are taken place based on the various variables inherited in the research questions, and also be matched with the policy and status analysis so as to formulate the framework of gender sensitive and responsive OS programs. In order to study the attributes and perceptions of the learners on the effectiveness of gender sensitive and responsive texts, a questionnaire is developed. A five-point Likert scale of 1 to 5, ranging from ‘strongly agree’ and ‘strongly disagree’ as anchoring points are used for main items.
- Published
- 2015
16. Psychological Autopsy-A Review
- Author
-
Vasudeva Murthy C R
- Subjects
Suicide ,lcsh:Therapeutics. Pharmacology ,lcsh:RA1190-1270 ,Psychological Autopsy ,lcsh:RM1-950 ,Key Informants ,lcsh:Toxicology. Poisons - Abstract
The psychological autopsy is thought to be the cornerstone of suicide research, providing more detailed knowledge than other methods. Its prime objective is to retrieve comprehensive information about suicide. Information is collected from key informants, available medical records and personnel and it consists of reconstructing the life style and personality of deceased along with details of circumstances, behaviors and events that led to the death of that individual.
- Published
- 2010
17. USE OF CONVERGENT MOBILE TECHNOLOGIES FOR SUSTAINABLE ECONOMIC TRANSFORMATION IN THE LIVES OF SMALL FARMERS IN RURAL INDIA
- Author
-
Murthy, C. S. H. N.
- Subjects
lcsh:LC8-6691 ,lcsh:Special aspects of education - Abstract
The continuous rise in the number of suicides among Indian rural based farmers is not solely due to lack of funds or failure of crops or huge amount of interests on debts. Many a time the farmers are in daze triggered by the panic and fear both of which are due to lack of information backed by appropriate technologies. Lack of information about the appropriate crop patterns the farmers should choose depending on the market demands and remunerative prices, availability of water, supply of seeds for sowing, proper knowledge of the use of manures and ways to avoid over use of pesticides--did contribute to the ever increasing number of suicides in the regions of Vidharbha and Andhra Pradesh, Karnataka and Tamil Nadu. The Government machinery comprising Agricultural extension officers, backed by the Agricultural programs on Radio and TV could hardly meet the information required for these farmers affected with the compounding problems. Use of convergent mobile technologies with the internet and e-mail facilities is the need of the hour. The latest data drawn from the IMRB survey (The I-Cube 2007) indicated that internet usage in India has grown by more than 11 times over the last seven years. The internet expansion is seen moving down from the metros to towns with population less than half a million with the number of users up by 69 times since 2007. In the last two years, 2005 and 2006, on an average 4.5 million new mobile subscribers were added every month. Convergent mobile technologies with wide range of mobiles and packages being available now hold the promise of offering basic literacy and numeracy skills accessible to the small farmers in India, besides a lot of information concerning the availability of loans at lower interest through banks and self-help groups, crop patterns, remunerative prices for the produce, export norms for the crops, e-marketing and e-commerce, etc, The paper outlines a visualization of such an optimistic design of use of convergent mobile technologies.
- Published
- 2009
18. On the use of Standardized Precipitation Index(SPI) for drought intensity assessment
- Author
-
Kumar, M. Naresh, Murthy, C. S., Sai, M. V. R. Sesha, and Roy, P. S.
- Subjects
Physics - Atmospheric and Oceanic Physics ,animal structures ,animal diseases ,Atmospheric and Oceanic Physics (physics.ao-ph) ,FOS: Physical sciences ,bacteria ,biochemical phenomena, metabolism, and nutrition ,bacterial infections and mycoses - Abstract
Monthly rainfall data from June to October for 39 years was used to generate Standardized Precipitation Index (SPI) values based on Gamma distribution for a low rainfall and a high rainfall district of Andhra Pradesh state, India. Comparison of SPI, with actual rainfall and rainfall deviation from the mean indicated that SPI values under-estimate the intensity of dryness/wetness when the rainfall is very low/very high respectively. As a result, the SPI in the worst drought years of 2002 and 2006 in the low rainfall district has indicated only moderate dryness instead of extreme dryness. The range of SPI values of the high rainfall district indicated better stretching, compared to that of the low rainfall district. Further, the SPI values of longer time scale (2-, 3- and 4- months) showed an extended range compared to 1-month, but the sensitivity in drought years has not improved significantly. To ascertain whether non normality of SPI is a possible reason, normality tests were conducted. The Shapiro-Wilk statistic, p-values and absolute value of the median confirmed normal distribution of SPI in both the districts whereas cumulative probability distribution of SPI indicated deviation from normal probability in the lower and upper ranges. Therefore, it is suggested that SPI as a stand alone indicator needs to be interpreted with caution to assess the intensity of drought. Further investigations should include; sensitivity of SPI to the estimated shape and scale at lower and upper bounds of gamma and impact of other distributions such as Pearson III on SPI computation, to complement the above results., 22 pages, 8 figures
- Published
- 2015
19. C.S.H.N.Murthy Ph.D Professor in Journalism and Mass Communication Institute of Management Studies A-8B,Sector 62 Noida UP 201301 INDIA
- Author
-
Murthy, C. S. H. N.
- Subjects
Convergent Mobile Technologies,Basic Literacy Skills And Numeracy Skills,Self Help Groups,Crop Patterns,E-Marketing,E-Commerce,Climatic Factors,Remunerative Prices - Abstract
The continuous rise in the number of suicides among Indian rural based farmers is not solely due to lack of funds or failure of crops or huge amount of interests on debts. Many a time the farmers are in daze triggered by the panic and fear both of which are due to lack of information backed by appropriate technologies. Lack of information about the appropriate crop patterns the farmers should choose depending on the market demands and remunerative prices, availability of water, supply of seeds for sowing, proper knowledge of the use of manures and ways to avoid over use of pesticides--did contribute to the ever increasing number of suicides in the regions of Vidharbha and Andhra Pradesh, Karnataka and Tamil Nadu. The Government machinery comprising Agricultural extension officers, backed by the Agricultural programs on Radio and TV could hardly meet the information required for these farmers affected with the compounding problems. Use of convergent mobile technologies with the internet and e-mail facilities is the need of the hour. The latest data drawn from the IMRB survey (The I-Cube 2007) indicated that internet usage in India has grown by more than 11 times over the last seven years. The internet expansion is seen moving down from the metros to towns with population less than half a million with the number of users up by 69 times since 2007. In the last two years, 2005 and 2006, on an average 4.5 million new mobile subscribers were added every month. Convergent mobile technologies with wide range of mobiles and packages being available now hold the promise of offering basic literacy and numeracy skills accessible to the small farmers in India, besides a lot of information concerning the availability of loans at lower interest through banks and self-help groups, crop patterns, remunerative prices for the produce, export norms for the crops, e-marketing and e-commerce, etc, The paper outlines a visualization of such an optimistic design of use of convergent mobile technologies.
- Published
- 2015
20. Optimal task allocation in distributed systems by graph matching and state space search
- Author
-
Tom P. and Siva Ram Murthy, C.
- Subjects
Theoretical computer science ,Matching (graph theory) ,Computer science ,Distributed computing ,A* search algorithm ,State space search ,Turnaround time ,Task (project management) ,law.invention ,law ,Graph matching ,Structure (mathematical logic) ,Computer simulation ,Response time (computer systems) ,Interconnection networks ,Distributed computer systems ,Computational complexity ,Graph theory ,Tree (data structure) ,Range (mathematics) ,Optimal task allocation ,State space methods ,Hardware and Architecture ,Computer systems programming ,Algorithms ,Software ,Information Systems - Abstract
We consider the problem of finding an optimal allocation of tasks onto processors of a distributed computing system. The processors need not have any particular inter-connection structure. We consider two models, one in which no precedence relations exist between tasks, and another in which there are precedence relations between tasks. Each task causes two types of costs to be incurred by the processor to which it is allocated – the execution cost of the task (which varies from processor to processor in a heterogeneous system), and communication cost when the task has to communicate with other tasks which are not allocated to the same processor. The aim of the task allocation (problem) is to minimize the total turnaround time of all tasks put together. This problem is known to be NP-hard when there are more than three processors. We use a state space search technique – the A* algorithm to obtain an optimal allocation. We propose a method to reduce the number of nodes generated in the state space search tree. We compare our algorithm for the optimal task allocation problem with that of similar existing algorithms, and show its effectiveness by performing extensive simulations over a wide range of parameters.
- Published
- 1999
21. Tu1516 Meticulous Technique of Per-Oral Endoscopic Myotomy (POEM) for Achalasia Is Associated With Low Risk of Complications
- Author
-
Ramprasad Jegadeesan, Madhusudhan R. Sanaka, Neha Wadhwa, Scott Gabbard, Prashanthi N. Thota, Murthy C. Sudish, Siva Raja, and Monica Ray
- Subjects
medicine.medical_specialty ,business.industry ,Per-oral endoscopic myotomy ,Gastroenterology ,Medicine ,Achalasia ,Radiology, Nuclear Medicine and imaging ,business ,medicine.disease ,Surgery - Published
- 2015
22. Tu1507 Creation of a Second Sub-Mucosal Tunnel Enabled Successful Per-Oral Endoscopic Myotomy (POEM) in a Patient With Previous Thoracocotomy and Heller's Myotomy
- Author
-
Prashanthi N. Thota, Madhusudhan R. Sanaka, Siva Raja, and Murthy C. Sudish
- Subjects
Myotomy ,medicine.medical_specialty ,business.industry ,medicine.medical_treatment ,Per-oral endoscopic myotomy ,Gastroenterology ,Medicine ,Radiology, Nuclear Medicine and imaging ,business ,Surgery - Published
- 2015
23. Maximizing lifetime of mobile actors inwireless sensor and actor networks
- Author
-
Selvaradjou, K.A . and Siva Ram Murthy, C.
- Abstract
Maximizing the lifetime of the network is an important problem in Wireless Sensor Networks (WSNs). The presence of special class of nodes called Actors in WSNs enable the network to have a closed loop control. Real-time reporting of events by sensor nodes and timely responses by the actor nodes are important problems inWireless Sensor and Actor Networks (WSANs). An actor node in WSANs also acts as data sink and it is mainly characterized by its residual energy for mobility and its capability to perform a task. Optimal assignment of actors to the events is essential in order to maximize the lifetime of the actors with a guarantee that the actions are performed at right times. In this work, we consider the problem of residual energy maximization of actors which expend energy due to their mobility by optimally assigning them to the events that have real-time deadline constraints. We formulate the optimization problem as Mixed Integer Non Linear Programming. Given a set of available actors and reported events, finding such an optimal schedule of multiple actors in a centralized manner such that the reported events satisfy timing and resource constraints is an NP-Complete problem. Hence, we propose distributed algorithms based on heuristic functions to find near optimal schedule of actors that scale well in WSANs. As actor nodes are mobile, and their topology tends to be highly dynamic, we propose a suitable architecture in which nodes called agents compute the optimal schedule of actors in a distributed manner. The simulation results show that intra-zone algorithms achieve near-optimal scheduling of actors with minimal message exchange overheads. Results also reveal that the inter-zone scheduling based on Earliest Deadline First (EDF) heuristic performs fairly better than that of other heuristics with respect to minimizing the overall movement required by the actors and reducing the deadline miss ratio. Our work also investigates the impact of optimal positioning of actors at the end of their schedule so as to cover new events that might occur with stringent deadline constraints. It is observed from the simulations that proactive positioning of actors at the end of their schedule such that every zone is guaranteed to have at least one actor, performs better both in terms of increased lifetime and controlled deadline miss ratio. � 2010 Old City Publishing, Inc.
- Published
- 2010
24. On-line computation of cardiac output from thermo-dilution curves
- Author
-
Murthy, C. Narasimha.
- Subjects
Engineering, General - Published
- 2009
- Full Text
- View/download PDF
25. Tu1511 Two Person Technique of Per-Oral Endoscopic Myotomy (POEM) for Achalasia by an Advanced Endoscopist and a Thoracic Surgeon - Our Experience With Initial 20 Cases
- Author
-
Udayakumar Navaneethan, Rocio Lopez, Madhusudhan R. Sanaka, Siva Raja, Prashanthi N. Thota, Ramprasad Jegadeesan, and Murthy C. Sudish
- Subjects
medicine.medical_specialty ,Thoracic surgeon ,business.industry ,General surgery ,Per-oral endoscopic myotomy ,Gastroenterology ,medicine ,Achalasia ,Radiology, Nuclear Medicine and imaging ,medicine.disease ,business ,Surgery - Published
- 2015
26. Tu1514 The Nuts and Bolts of Starting a Successful Per-Oral Endoscopic Myotomy (POEM) Program: a Practical Approach
- Author
-
Siva Raja, Madhusudhan R. Sanaka, Prashanthi N. Thota, and Murthy C. Sudish
- Subjects
medicine.medical_specialty ,Nuts and bolts ,business.industry ,General surgery ,Per-oral endoscopic myotomy ,Gastroenterology ,Medicine ,Radiology, Nuclear Medicine and imaging ,business - Published
- 2015
27. Sa1937 Mass Spectrometric Profiling of Oxidized Fatty Acids (OxFAS) in Esophageal Adenocarcinoma (EAC) - A Pilot Study
- Author
-
Scott Gabbard, Amit Bhatt, Tyler Stevens, Murthy C. Sudish, John J. Vargo, Mansour A. Parsi, Gregory Zuccaro, Arthi Kumaravel, and Sunguk Jang
- Subjects
Chromatography ,Hepatology ,Chemistry ,Gastroenterology ,Esophageal adenocarcinoma ,Mass spectrometric - Published
- 2015
28. Sa1938 Volatile Organic Compounds (VOCs) in Plasma for Diagnosis of Esophageal Adenocarcinoma (EAC) - A Pilot Study
- Author
-
Scott Gabbard, Amit Bhatt, Arthi Kumaravel, Mansour A. Parsi, John J. Vargo, Raed A. Dweik, Murthy C. Sudish, Tyler Stevens, Sunguk Jang, David Grove, and Gregory Zuccaro
- Subjects
medicine.medical_specialty ,Hepatology ,Chemistry ,Internal medicine ,Gastroenterology ,medicine ,Esophageal adenocarcinoma - Published
- 2015
29. Sa1075 Volatile Organic Compounds in Blood for Non-Invasive Diagnosis of Barrett's Esophagus - A Pilot Study
- Author
-
Amit Bhatt, Gregory Zuccaro, Murthy C. Sudish, Mansour A. Parsi, John J. Vargo, Arthi Kumaravel, David Grove, Raed A. Dweik, Tyler Stevens, Scott Gabbard, and Sunguk Jang
- Subjects
medicine.medical_specialty ,Hepatology ,business.industry ,Internal medicine ,General surgery ,Barrett's esophagus ,Non invasive ,Gastroenterology ,medicine ,business ,medicine.disease - Published
- 2015
30. Efficient routing of sub-wavelength multicast sessions in WDM mesh networks
- Author
-
Chowdhary, G.V. and Siva Ram Murthy, C.
- Subjects
Distance education ,Telecommunication traffic ,Nonlinear programming ,Traffic grooming ,Video conferencing ,Wavelength division multiplexing ,Network resources ,Resource utilization ,Mesh networks ,Traffic demands ,Computer networks - Abstract
As the popularity of the new multicast based services like video conferencing and distance learning is gaining significant attention, the network operator's concern to provide such services in an off-line and on-line manner with optimum network resource utilization is increasing rapidly. In recent past, traffic grooming also gained significant importance to handle sub-wavelength level demands in the WDM mesh networks to optimize the network resources. The majority of traffic grooming work addresses issues related to the unicast traffic scenario. We, in this paper, address the problem of routing and wavelength assignment of multicast sessions (MC-RWA) with sub-wavelength traffic demands in the scenario of WDM mesh networks. We deal with two scenarios where the traffic demands are either static or dynamic. Individual nodes need to have the capability of duplicating traffic in order to support multicast traffic grooming. So, we propose a node architecture, which performs the task of traffic duplication in the optical as well as in the electronic domain. This architecture is cost effective as it allows the duplication in optical domain also. The traffic duplication at the electronic level is much more expensive than at the optical level. In static scenario, we study the problem of assigning routes and wavelengths to the multicast sessions so as to minimize the total electronic copying cost at the nodes. We present a non-linear programming (NLP) formulation as an analytical model for the problem. As solving the model for large network is intractable, we propose three heuristic algorithms namely k-SPT, GRS, and GCOT. In dynamic scenario, we study the problem with the objective of reducing the blocking of dynamically arriving requests using the proposed technique called maximizing the minimum freeload (MMFL). We have conducted extensive simulation experiments to demonstrate the effectiveness of the proposed schemes. � 2006 - IOS Press and the authors. All rights reserved.
- Published
- 2006
31. MuSeQoR:Multi-path failure-tolerant security-aware QoS routing in ad hoc wireless networks
- Author
-
Sriram, S., Bheemarjuna Reddy, T., Manoj, B.S., Siva Ram Murthy, C.
- Abstract
In this paper, we present MuSeQoR:a new multi-path routing protocol that tackles the twin issues of reliability (protection against failures of multiple paths) and security, while ensuring minimum data redundancy. Unlike in all the previous studies, reliability is addressed in the context of both erasure and corruption channels. The reliability and security requirements of a session are specified by a user and are related to the parameters of the protocol adaptively. In addition, by using optimal coding schemes and by dispersing the original data, we minimize the redundancy. Finally, extensive simulations were performed to assess the performance of the protocol under varying network conditions. The simulation studies clearly indicate the gains in using such a protocol and also highlight the enormous flexibility of the protocol. ? Springer-Verlag 2004.
- Published
- 2004
32. On-line reconfiguration of virtual topologies in wavelength-routed WDM networks
- Author
-
Sreenath, N., Siva Ram Murthy, C.
- Subjects
Algorithms ,Electric network topology ,Heuristic methods ,Telecommunication networks ,Telecommunication traffic ,Wavelength routing ,Wavelength division multiplexing - Abstract
Wavelength-division multiplexed (WDM) networks employing wavelength-routing are considered to be potential candidates for the next generation wide-area backbone networks. In these networks, messages are carried in all-optical form using lightpaths. In a WDM network, the set of semi-permanent lightpaths which are set up in the network may be viewed as a virtual topology by higher layers such as SONET, ATM, and IP. The virtual topology is designed with an aim of minimizing certain objective function value. The underlying virtual topology may need to be changed in response to the changing traffic patterns in the higher layer. This process of changing the virtual topology to meet the traffic requirement is called as reconfiguration. The reconfiguration can be performed either on-line or off-line. We view the reconfiguration as an on-line process and it provides a trade-off between the objective function value and the number of changes to the virtual topology. The objective function value decides how best the topology is suited for the given traffic demand. The number of changes decides the extent of disruption of traffic in the network while making a transition to the new virtual topology. As the reconfiguration problem is computationally intractable, we propose four heuristic algorithms for reconfiguration of virtual topology, namely, Phase1, Phase2-Single, Phase2-Multi, and Two-Phase. These heuristic algorithms reconfigure the current virtual topology if traffic pattern changes from the existing one. The performance of these heuristic algorithms are compared in terms of objective function value of reconfigured topology, number of changes performed to get the reconfigured topology, and the amount of time taken by these algorithms to compute changes in the existing virtual topology.
- Published
- 2003
33. Slot allocation schemes for delay sensitive traffic support in asynchronous wireless mesh networks
- Author
-
Vidhyashankar, V., Manoj, B.S., Siva Ram Murthy, C.
- Abstract
In this paper, we propose an on-demand QoS routing protocol and heuristics for the slot allocation process in asynchronous single channel wireless mesh networks in the presence of hidden terminals. The heuristics we propose are the Early Fit Reservation (EFR), Minimum Bandwidth Reservation (MBR), and the Position-based Hybrid Reservation (PHR). The heuristic EFR has been found to give the best performance in terms of delay while the PHR and the MBR provide a better throughput. The heuristics proposed above have been adapted to provide an extended battery life for the power constrained mobile nodes and hence reduce the number of battery recharges. The parent and the adapted heuristics are compared in terms of delay and number of battery recharges. Simulation studies have shown that the parent heuristics show better results with respect to delay while the adapted heuristics perform better in terms of the number of deaths of mobile nodes. ? Springer-Verlag Berlin Heidelberg 2003.
- Published
- 2003
34. Prevalence of Thyroid disorder in Males at Chitradurga District
- Author
-
T.K. Srinivas setty and Narayana Murthy C
- Subjects
medicine.medical_specialty ,Pediatrics ,Endocrinology ,business.industry ,Internal medicine ,medicine ,business ,Thyroid disorder - Published
- 2012
35. A framework for differentiated survivable optical virtual private networks
- Author
-
Saradhi, C.V. and Siva Ram Murthy, C.
- Subjects
Bandwidth ,Fiber optic networks ,Quality of service ,Wavelength division multiplexing ,Optical virtual private networks ,Telecommunication networks - Abstract
Wavelength division multiplexed (WDM) networks are matured to provide, scalable data centric infrastructure, capable of delivering flexible, value added, high speed and high bandwidth services directly from the optical domain. Optical virtual private networks (OVPNs) make use of the concept of highly reconfigurable nature of lightpaths offered by WDM, to create secure tunnels of high bandwidth across the intelligent WDM optical transport network. An OVPN is a private connection between two or more edge devices (access nodes), that allows a group of clients to fully exploit the flexibility of the switched intelligent optical network. However, OVPNs will not be a viable alternative unless they can guarantee a predictable bandwidth, availability, response time, and fault-tolerance to users. In this paper, we study the problem of dynamically establishing lightpaths for OVPNs over intelligent optical transport networks to provide varying classes of service based on the type of primary and backup lightpaths and the number of backup lightpaths, when each OVPN is specified by the desired logical connectivity and Class of Service. The type of primary and backup lightpaths determines the QoS parameters such as response time and bandwidth. Whereas, the number of backup lightpaths determines the level of fault-tolerance and availability of OVPN. Based on the service classes, any OVPN in the network falls into one of the six classes viz. single dedicated primary and single dedicated backup (SDPSDB), single dedicated primary and multiple dedicated backups (SDPMDB), single dedicated primary and single shared backup (SDPSSB), single shared primary and single shared backup (SSPSSB), single shared primary and multiple shared backups (SSPMSB), and best-effort (BE). In BE, we consider two variations - (1) OVPN as dedicated logical ring topology (DLRT) and (2) OVPN as shared logical ring topology (SLRT). We conduct extensive simulation experiments to compare and evaluate the effectiveness of different classes of OVPNs for varying network configurations - varying number of fibers, wavelengths on physical links, and number of nodes in OVPN.
- Published
- 2002
- Full Text
- View/download PDF
36. Tu1861 Reflux, Esophageal and Gastric Motility Before and After Lung Transplant
- Author
-
Rocio Lopez, Zubin Arora, Sigurbjorn Birgisson, and Murthy C. Sudish
- Subjects
medicine.medical_specialty ,Lung ,medicine.anatomical_structure ,Hepatology ,business.industry ,Internal medicine ,Gastroenterology ,Gastric motility ,medicine ,Reflux ,business - Published
- 2014
37. Mo1902 High Resolution Manometry Findings in Lung Transplant Recipients Before and After Lung Transplant
- Author
-
Rocio Lopez, Murthy C. Sudish, Zubin Arora, and Sigurbjorn Birgisson
- Subjects
medicine.medical_specialty ,Lung ,medicine.anatomical_structure ,Hepatology ,business.industry ,Gastroenterology ,Medicine ,Radiology ,business ,High resolution manometry - Published
- 2014
38. Virtual Source Based Multicast Routing in WDM Optical Networks
- Author
-
Sreenath, N., Siva Ram Murthy, C., Mohan, G., and Publica
- Abstract
Wavelength-division multiplexed (WDM) networks using wavelength-routing are considered to be potential candidates for the next generation wide-area backbone networks. Multicasting is the ability to transmit information from a single source node to multiple destination nodes and is becoming an important requirement in high-speed networks. As WDM technology matures and multicast applications become increasingly popular, supporting multicast routing at the WDM layer becomes an important and yet a challenging topic. This paper concerns with the problem of optical multicast routing in WDM networks. A few nodes in the network may have wavelength conversion and/or splitting capabilities. In this paper, a new multicast tree construction algorithm is proposed. This algorithm is based on a concept called virtual source. A virtual source is a node having both the splitting and wavelength conversion capabilities. By exploiting the presence of virtual source nodes, the proposed algo rithm achieves improved performance. To further improve the performance, the algorithm assigns priorities to nodes based on their capabilities. The effectiveness of the proposed algorithm is verified through extensive simulation experiments.
- Published
- 2001
- Full Text
- View/download PDF
39. Efficient wavelength rerouting in WDM single-fiber and multi-fiber networks with and without wavelength conversion
- Author
-
Mohan Gurusamy and Murthy, C. S. R.
- Subjects
Single mode fibers ,Rerouting algorithms ,Computer simulation ,Multimode fibers ,Polynomials ,Circuit switched wavelength-routing ,Computational complexity ,Telecommunication traffic ,Communication channels (information theory) ,Fiber optic networks ,Wavelength division multiplexing ,Congestion control (communication) ,Algorithms ,Constraint theory - Abstract
In this paper, we consider wavelength rerouting in circuit switched wavelength-routing Wavelength-Division Multiplexed (WDM) networks. We address the rerouting issue and propose rerouting algorithms for single-fiber and multi-fiber networks with and without wavelength conversion. The wavelength continuity constraint imposed by WDM networks leads to poor blocking performance. The blocking performance can be improved by wavelength rerouting and by providing wavelength conversion capability at the routing nodes. Wavelength rerouting rearranges certain existing lightpaths to accommodate a new connection request. The wavelength continuity constraint is relaxed at the routing nodes having wavelength conversion capability. Since the number of technologically feasible wavelength channels per fiber is very few (up to 16), multi-fiber networks have become an attractive alternative which can support increased traffic with improved performance. Recently, in [1], a rerouting scheme called `Parallel Move-To-Vacant-Wavelength Retuning (MTV-WR)' with many attractive features such as shorter disruption period and simple switching control, and a rerouting algorithm, for this scheme, to minimize the weighted number of rerouted lightpaths have been proposed. The algorithm runs in polynomial time, but is not time optimal. We present here a time optimal rerouting algorithm to minimize the weighted number of rerouted lightpaths. We also present a rerouting strategy with the same computational complexity for the networks with sparse wavelength conversion. We discuss, how the parallel MTV-WR scheme can be extended to the networks with sparse wavelength conversion for rerouting sub-lightpaths. We also discuss how this scheme can be modified for multi-fiber networks, wherein a lightpath can be moved to a vacant wavelength on any vacant fiber in the bundle of fibers, while maintaining the route. We extend the rerouting algorithm for the single-fiber networks to the multi-fiber networks with the above modified rerouting scheme. The performance of the proposed algorithms are evaluated through extensive simulation. The results show that the proposed algorithms improve the blocking performance significantly.
- Published
- 1999
40. Pulse rate, pre-competition tension and performance in 10,000 meter elite runners of both sexes
- Author
-
De A, Debnath P, Roy A, and Murthy C
- Subjects
Adult ,Male ,lcsh:R ,lcsh:Medicine ,Female ,Pulse ,human activities ,Human ,Running - Abstract
Five male and 3 female runners who participated in 10,000 meter distance run in South Asian Federation (SAF) Games, 1987 were volunteered for this pilot study. The pulse rate at rest, 1 hour prior to competition and post-run for 30 min at 5 min intervals were recorded. It was observed that the runners who showed less rise of pulse prior to competition, performed better. This might be attributed to less pre-competition tension in them which helped the athletes to perform better.
- Published
- 1990
41. Real-time simulation of dynamic systems on systolic arrays
- Author
-
Vijay, M. and Siva Ram Murthy, C.
- Subjects
Computational complexity ,Differential equations ,Problem solving ,Systolic arrays ,Computational methods ,Convergence of numerical methods ,Real time systems ,Computer simulation ,Nonlinear equations ,Dynamic systems ,Constraint theory - Abstract
Systolic arrays have emerged as a powerful means for solving several computational problems of practical importance. This paper discusses the applicability of systolic arrays in the real-time simulation of dynamic systems. Systolic arrays are proposed for the simulation of dynamic systems which can be represented by a set of linear or nonlinear ordinary differential equations. Efficient techniques for solving the differential equations have been chosen in these systolic implementations, so that the real-time constraints can be satisfied, while maintaining both the stability and accuracy of the simulation. The complexity issues of the systolic implementations are also discussed. Conclusions are drawn regarding the efficiency and ease of using the systolic arrays, after comparison with the earlier solutions for this problem. ? 1998 IEEE.
- Published
- 1998
42. A New Approach for Scheduling of Parallelizable Tasks in Real-Time Multiprocessor Systems
- Author
-
Manimaran, G., Siva Ram Murthy, C., and Ramamritham, K.
- Subjects
Scheduling ,Run time anomaly ,Parallel processing systems ,Schedulability ,Computational methods ,Real time systems ,Parallelizable tasks ,Computer simulation ,Algorithms - Abstract
In a parallelizable task model, a task can be parallelized and the component tasks can be executed concurrently on multiple processors. We use this parallelism in tasks to meet their deadlines and also obtain better processor utilisation compared to non-parallelized tasks. Non-preemptive parallelizable task scheduling combines the advantages of higher schedulability and lower scheduling overhead offered by the preemptive and non-preemptive task scheduling models, respectively. We propose a new approach to maximize the benefits from task parallelization. It involves checking the schedulability of periodic tasks (if necessary, by parallelizing them) off-line and run-time scheduling of the schedulable periodic tasks together with dynamically arriving aperiodic tasks. To avoid the run-time anomaly that may occur when the actual computation time of a task is less than its worst case computation time, we propose efficient run-time mechanisms. We have carried out extensive simulation to study the effectiveness of the proposed approach by comparing the schedulability offered by it with that of dynamic scheduling using Earliest Deadline First (EDF), and by comparing its storage efficiency with that of the static table-driven approach. We found that the schedulability offered by parallelizable task scheduling is always higher than that of the EDF algorithm for a wide variety of task parameters and the storage overhead incurred by it is less than 3.6% of the static table-driven approach even under heavy task loads.
- Published
- 1998
43. Physically-based modeling of two-dimensional and three-dimensional implantation profiles: Influence of damage accumulation
- Author
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Murthy, C. S., Posselt, M., and Feudel, T.
- Abstract
The alteration of the shape of one-dimensional, two-dimensional (2D), and three-dimensional (3D) range distributions with growing dose as well as the extension of amorphous zones formed at high doses is studied for 15 keV BF2+ and 30 keV P+ implantations into (100)Si using the dynamic binary collision code Crystal-TRIM. The range and damage profiles are calculated for the area 97.74 (parallel to [010]) × 97.74 (parallel to [001]) nm2 at the target surface irradiated by the ion beam and surrounded by impenetrable masks. The change of the shape of the 2D and 3D distributions in the lateral direction is less pronounced than in the depth direction. At low doses the lateral profile branches are determined by rechanneled particles, at high doses the enhanced dechanneling is the reason for the increased lateral straggling. The latter effect is responsible for the relatively large lateral extension of the amorphous zone beneath the masks. The simulated depth profiles of boron and phosphorus and the predicted thickness of the amorphous layer are in good agreement with experimental data.
- Published
- 1997
44. Structure-activity studies on gonadotropin-releasing hormone analogs in goldfish
- Author
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Murthy, C. K.
- Published
- 1994
- Full Text
- View/download PDF
45. A multi-microprocessor architecture for solving partial differential equations
- Author
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Murthy, C Siva Ram and Rajaraman, V
- Subjects
Computer Science & Automation - Abstract
This paper presents the architecture of a fault-tolerant, special-purpose multi-microprocessor system for solving Partial Differential Equations (PDEs). The modular nature of the architecture allows the use of hundreds of Processing Elements (PEs) for high throughput. Its performance is evaluated by both analytical and simulation methods. The results indicate that the system can achieve high operation rates and is not sensitive to inter-processor communication delay.
- Published
- 1987
46. Chronic metabolic effects of ammonia in mouse brain
- Author
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Indira Rao T, B. Sadasivudu, and Radhakrishna Murthy C
- Subjects
Physiology ,Glutamine ,Nerve Tissue Proteins ,Biology ,Biochemistry ,Mice ,Glutamate Dehydrogenase ,Glutamates ,Ammonia ,Glutamate-Ammonia Ligase ,Glutamine synthetase ,Glutamate aspartate transporter ,Animals ,Aspartate Aminotransferases ,Amino Acids ,gamma-Aminobutyric Acid ,Tyrosine Transaminase ,Alanine ,chemistry.chemical_classification ,Glutamate dehydrogenase ,Glutamate receptor ,Brain ,Alanine Transaminase ,Glutamic acid ,Amino acid ,chemistry ,biology.protein ,RNA ,Sodium-Potassium-Exchanging ATPase - Abstract
Chronic ammonia toxicity in experimental mice was induced by exposing them for 2 and 5 days to 5 % (v/v) ammonia solution. The enzymes concerned with glutamate metabolism (aspartate-, alanine- and tyrosine aminotransferases, glutamate dehydrogenase and glutamine synthetase) and (Na+ + K+)-ATPase were estimated in the three regions of brain (cerebellum, cerebral cortex and brain stem) and in liver. Glutamate, aspartate, alanine, glutamine and GABA, RNA and protein were also estimated in the three regions of brain and liver. A significant rise in the activity of (Na+ + K+)-ATPase in all the three regions of brain along with a fall in the activity of alanine aminotransferase was noticed. Changes in the activities of other enzymes were also observed. A significant increase in alanine and a decrease in glutamic acid was observed while no change was observed in the content of other amino acids belonging to the glutamate family. As a result of this, changes in the ratios of glutamate/glutamine and glutamate + aspartate/GABA was observed. The results indicated that the brain was in a state of more depression and less of excitation. Under these conditions the liver tissue was showing a profound rise in the activity of the enzymes of glutamate metabolism. The results are further discussed.
- Published
- 1979
47. Routing and wavelength assignment for establishing dependable connections in WDM networks
- Author
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Mohan Gurusamy and Murthy, C. Siva Ram
- Subjects
Computer system recovery ,Primary independent backup wavelength assignment ,Real time systems ,Computer simulation ,Fault tolerant computer systems ,Dependable connections ,Computational complexity ,Telecommunication traffic ,Bandwidth ,Data communication systems ,Wavelength division multiplexing ,Primary dependent backup wavelength assignment ,Backup threshold ,Computer networks - Abstract
The problem of establishing dependable connections (D-connections) for fast failure recovery in wavelength-routed wavelength-division multiplexed (WDM) networks with dynamic traffic demand is addressed. Focus is on backup multiplexing based primary-backup lightpath routing in WDM networks. Different methods are presented to assign wavelengths to backup lightpaths, for a given primary lightpath. All the given methods differ in their computational complexity and performance. A method called backup threshold is proposed to improve fairness among the connections with and without fault-tolerant requirements.
48. Failure rate analysis of shovel and dumper in opencast limestone mine using RWB and ANN
- Author
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N S, H. K., R. P. Choudhary, and Murthy, C. S. N.
49. Virtual source based multicast routing in WDM networks with sparse light splitting
- Author
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Sreenath, N., Reddy, N. K. M., Mohan Gurusamy, and Murthy, C. S. R.
50. Parallel processing for using a shared memory in a network with the help of context switching semaphore using self-healing approach
- Author
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Karthik P, Ravikiran, B. A., Suresh, K., Manu, D. K., and Gopalakrishna Murthy, C. R.
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