Treffer 1 - 5 von 5 für Suche 'Pasupuleti, Ravi Sankar', Suchdauer: 0,49s Treffer weiter einschränken
  1. 1
    An empirical evidence on the continuance and recommendation intention of ChatGPT among higher education students in India: An extended technology continuance theory

    An empirical evidence on the continuance and recommendation intention of ChatGPT among higher education students in India: An extended technology continuance theory von Pasupuleti, Ravi Sankar, Thiyyagura, Deepthi


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  2. 2
    Factors driving ChatGPT continuance intention among higher education students: integrating motivation, social dynamics, and technology adoption

    Factors driving ChatGPT continuance intention among higher education students: integrating motivation, social dynamics, and technology adoption von Tummalapenta, Sita Ramaiah, Pasupuleti, Ravi Sankar, Chebolu, Radha Mohan, Banala, Tejo Vikas, Thiyyagura, Deepthi


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  3. 3
    Subdimensions of Smart Servicescape: Empirical Evidence Using Confirmatory Factor Analysis

    Subdimensions of Smart Servicescape: Empirical Evidence Using Confirmatory Factor Analysis von Pasupuleti, Ravi Sankar, Seshadri, Usha


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  4. 4
    M. tuberculosis class II apurinic/ apyrimidinic-endonuclease/3'-5' exonuclease (XthA) engages with NAD+-dependent DNA ligase A (LigA) to counter futile cleavage and ligation cycles in base excision repair

    M. tuberculosis class II apurinic/ apyrimidinic-endonuclease/3'-5' exonuclease (XthA) engages with NAD+-dependent DNA ligase A (LigA) to counter futile cleavage and ligation cycles... von Khanam, Taran, Afsar, Mohammad, Shukla, Ankita, Alam, Faiyaz, Kumar, Sanjay, Soyar, Horam, Dolma, Kunzes, Pasupuleti, Mukesh, Srivastava, Kishore Kumar, Ampapathi, Ravi Sankar, Ramachandran, Ravishankar

    Veröffentlicht in Nucleic acids research

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  5. 5
    Sequential organ failure assessment and modified early warning score system versus quick SOFA score to predict the length of hospital stay in sepsis patients – accuracy scoring study

    Sequential organ failure assessment and modified early warning score system versus quick SOFA score to predict the length of hospital stay in sepsis patients – accuracy scoring stu... von Gopala Krishna, Siva Kumar, Ravi Sankar, Kondle Raghu, Vemula Sathynarayana, Pasupuleti Siripriya

    Veröffentlicht in Critical care Innovations

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