Showing 6,881 - 6,888 results of 6,888 for search '"machines"', query time: 0.05s Refine Results
  1. 6881

    Proteomic profiling of the local and systemic immune response to pediatric respiratory viral infections by Emily Lydon, Christina M. Osborne, Brandie D. Wagner, Lilliam Ambroggio, J. Kirk Harris, Ron Reeder, Todd C. Carpenter, Aline B. Maddux, Matthew K. Leroue, Nadir Yehya, Joseph L. DeRisi, Mark W. Hall, Athena F. Zuppa, Joseph Carcillo, Kathleen Meert, Anil Sapru, Murray M. Pollack, Patrick McQuillen, Daniel A. Notterman, Charles R. Langelier, Peter M. Mourani

    Published 2025-01-01
    “…From tracheal aspirate (TA), we defined a proteomic signature of vLRTI characterized by increased expression of interferon signaling proteins and decreased expression of proteins involved in immune modulation including FABP and MIP-5. Using machine learning, we developed a parsimonious diagnostic classifier that distinguished vLRTI from non-infectious respiratory failure with high accuracy. …”
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  2. 6882

    Associations between milk infrared-predicted plasma biomarkers of stress resilience and fertility in dairy cattle: Insights for enhancing breeding programs and herd management by Alessio Cecchinato, Hugo Toledo-Alvarado, Lucio Flavio Macedo Mota, Vittoria Bisutti, Erminio Trevisi, Riccardo Negrini, Sara Pegolo, Stefano Schiavon, Luigi Gallo, Giovanni Bittante, Diana Giannuzzi

    Published 2025-02-01
    “…The blood metabolites (15 blood biomarkers related to hepatic damage and function, oxidative stress, inflammation, and innate immunity) were predicted using milk Fourier-transform mid-infrared (MIR) spectroscopy. A gradient boosting machine approach with leave-one-batch-out cross-validation (R2 range from 0.45 to 0.82) was implemented to an independent calibration database of 1,367 lactating cows reared in 5 herds. …”
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  3. 6883

    Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

    Published 2025-01-01
    “…Additionally, leveraging human-machine collaboration through intelligent workflows can further enhance decision-making by combining real-time data analysis with human expertise. …”
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  4. 6884

    Higher education students' perceptions of ChatGPT: A global study of early reactions. by Dejan Ravšelj, Damijana Keržič, Nina Tomaževič, Lan Umek, Nejc Brezovar, Noorminshah A Iahad, Ali Abdulla Abdulla, Anait Akopyan, Magdalena Waleska Aldana Segura, Jehan AlHumaid, Mohamed Farouk Allam, Maria Alló, Raphael Papa Kweku Andoh, Octavian Andronic, Yarhands Dissou Arthur, Fatih Aydın, Amira Badran, Roxana Balbontín-Alvarado, Helmi Ben Saad, Andrea Bencsik, Isaac Benning, Adrian Besimi, Denilson da Silva Bezerra, Chiara Buizza, Roberto Burro, Anthony Bwalya, Cristina Cachero, Patricia Castillo-Briceno, Harold Castro, Ching Sing Chai, Constadina Charalambous, Thomas K F Chiu, Otilia Clipa, Ruggero Colombari, Luis José H Corral Escobedo, Elísio Costa, Radu George Crețulescu, Marta Crispino, Nicola Cucari, Fergus Dalton, Meva Demir Kaya, Ivo Dumić-Čule, Diena Dwidienawati, Ryan Ebardo, Daniel Lawer Egbenya, MoezAlIslam Ezzat Faris, Miroslav Fečko, Paulo Ferrinho, Adrian Florea, Chun Yuen Fong, Zoë Francis, Alberto Ghilardi, Belinka González-Fernández, Daniela Hau, Md Shamim Hossain, Theo Hug, Fany Inasius, Maryam Jaffar Ismail, Hatidža Jahić, Morrison Omokiniovo Jessa, Marika Kapanadze, Sujita Kumar Kar, Elham Talib Kateeb, Feridun Kaya, Hanaa Ouda Khadri, Masao Kikuchi, Vitaliy Mykolayovych Kobets, Katerina Metodieva Kostova, Evita Krasmane, Jesus Lau, Wai Him Crystal Law, Florin Lazăr, Lejla Lazović-Pita, Vivian Wing Yan Lee, Jingtai Li, Diego Vinicio López-Aguilar, Adrian Luca, Ruth Garcia Luciano, Juan D Machin-Mastromatteo, Marwa Madi, Alexandre Lourenço Manguele, Rubén Francisco Manrique, Thumah Mapulanga, Frederic Marimon, Galia Ilieva Marinova, Marta Mas-Machuca, Oliva Mejía-Rodríguez, Maria Meletiou-Mavrotheris, Silvia Mariela Méndez-Prado, José Manuel Meza-Cano, Evija Mirķe, Alpana Mishra, Ondrej Mital, Cristina Mollica, Daniel Ionel Morariu, Natalia Mospan, Angel Mukuka, Silvana Guadalupe Navarro Jiménez, Irena Nikaj, Maria Mihaylova Nisheva, Efi Nisiforou, Joseph Njiku, Singhanat Nomnian, Lulzime Nuredini-Mehmedi, Ernest Nyamekye, Alka Obadić, Abdelmohsen Hamed Okela, Dorit Olenik-Shemesh, Izabela Ostoj, Kevin Javier Peralta-Rizzo, Almir Peštek, Amila Pilav-Velić, Dilma Rosanda Miranda Pires, Eyal Rabin, Daniela Raccanello, Agustine Ramie, Md Mamun Ur Rashid, Robert A P Reuter, Valentina Reyes, Ana Sofia Rodrigues, Paul Rodway, Silvia Ručinská, Shorena Sadzaglishvili, Ashraf Atta M S Salem, Gordana Savić, Astrid Schepman, Samia Mokhtar Shahpo, Abdelmajid Snouber, Emma Soler, Bengi Sonyel, Eliza Stefanova, Anna Stone, Artur Strzelecki, Tetsuji Tanaka, Carolina Tapia Cortes, Andrea Teira-Fachado, Henri Tilga, Jelena Titko, Maryna Tolmach, Dedi Turmudi, Laura Varela-Candamio, Ioanna Vekiri, Giada Vicentini, Erisher Woyo, Özlem Yorulmaz, Said A S Yunus, Ana-Maria Zamfir, Munyaradzi Zhou, Aleksander Aristovnik

    Published 2025-01-01
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  5. 6885
  6. 6886

    Designing a model to improve the behavior of Iranian handicrafts e-commerce customers by increasing customer trust by mohsen seidi, Fataneh Alizadeh Meshkani, Ahmad Sardari, Abdullah Naami

    Published 2024-09-01
    “…In each unit, the artistic taste and intellectual creativity of the manufacturer are manifested in some way, and this factor is the main distinguishing feature of such products from similar machine and factory artifacts (Kazemi, 2019). Zolfaghar Dolabi (2023) investigated the factors affecting customer loyalty and electronic trust in electronic commerce in Tehran Infrastructure Company. …”
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  7. 6887

    Presenting the evaluation model of financial technology policies in National Bank of Iran by Vahid moradi, changiz mohammadi zadeh, ali farhadi mahali

    Published 2024-09-01
    “…The banking industry can benefit from incorporating emerging technologies such as blockchain, artificial intelligence, learning machine or other decision-making layers. However, with the advantages come disadvantages such as increased reliance on technology, high costs, increased job losses, data security risks and fraud, etc. …”
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  8. 6888

    Development and Evaluation of an AI-based Exergame Training System for Ice-Hockey Players: a Randomized Controlled Trial by Nicole Sieber, Simon Walser, Thomas Weber, Raphael Gubler, Hannes Badertscher, Patrick Eggenberger

    Published 2025-01-01
    “…Artificial intelligence (i.e., machine learning) was applied to train and validate algorithms to accurately detect joint positions of the human body based on large open-source training and validation data sets. …”
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