Results 121 to 130 of about 1,571,908 (331)

Predicting and Comparing the Subjective Health Experience of Older Cancer Survivors and Non‐Cancer Survivors: A Modeling Approach

Aging and Cancer, EarlyView.
This study underscores the significant influence of frailty and vitality on the subjective health experience of older cancer survivors with acceptance and control emerging as salient mediators. These findings affirm the conceptual and empirical robustness of the model highlighting its potential utility in shaping future interventions for older cancer ...
Damien S. E. Broekharst, Sjaak Bloem, Eline J. Mertens, Nathascha Hanzen, Michel van Agthoven   +4 more
wiley   +1 more source

Design and Development of an Online Analytical Processing (OLAP) Application for Customer Profiling Analysis of Insurance "X"

Knowbase
The system's slow and inflexible response time is a characteristic of analytical processes based on transactional databases (OLTP), as experienced by PT Asuransi "X." This limitation arises because transactional databases are not designed for OLAP, which
Debleng Puja Kesuma Wardanie, Slamet Kacung, Chamdan Fauzi, Pamudi Pamudi   +3 more
doaj   +1 more source

WEB ANALYTICS AS A TOOL FOR MONITORING STUDY PROCESS OF HIGH SCHOOL ONLINE COURSE

, 2021
Michal Černý
openalex   +1 more source

Empowering Online Adult Educators: Integrating Artificial Intelligence for Enhanced Instructional Strategies

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) can support online adult learning by aligning with Knowles’ four principles of andragogy: involvement, experience, problem‐centeredness, and relevance. Three activities were analyzed using a comparative case study (CCS) method.
Xi Lin, Steve W. Schmidt
wiley   +1 more source

Institutional Policies on Artificial Intelligence in Higher Education: Frameworks and Best Practices for Faculty

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia—from research and teaching to assessment and student support—institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty.
Lauren Azevedo, Pedro Robles, Eric Best, Daniel J. Mallinson   +3 more
wiley   +1 more source

BUSINESS INTELLIGENCE TECHNOLOGIES AND THEIR RELEVANCE IN THE LABOR MARKET

Дискурс, 2018
It is no longer possible to run a successful business in highly competitive industries without introducing modern automated analytical tools termed "Business Intelligence" into management activities. The article considers a brief structure of the concept
A. B. Zhernakov, R. O. Orazvaliev
doaj   +1 more source

Leveraging Artificial Intelligence in Research and Scholarly Work: Innovative Approaches and Practical Applications

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley   +1 more source

Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival. Methods Data from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed.
Rosario Vasta, Stefano Callegaro, Antonio Canosa, Umberto Manera, Maurizio Grassano, Francesca Palumbo, Sara Cabras, Enrico Matteoni, Francesca Di Pede, Filippo De Mattei, Salvatore Tafaro, Neil M. Thakur, Ryan Grosenick, Fabiola De Marchi, Letizia Mazzini, Cristina Moglia, Andrea Calvo, Kuldip D. Dave, Adriano Chiò   +18 more
wiley   +1 more source

Post‐COVID Fatigue Is Associated With Reduced Cortical Thickness After Hospitalization

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neuropsychiatric symptoms are among the most prevalent sequelae of COVID‐19, particularly among hospitalized patients. Recent research has identified volumetric brain changes associated with COVID‐19. However, it currently remains poorly understood how brain changes relate to post‐COVID fatigue and cognitive deficits.
Tim J. Hartung, Florentin Steigerwald, Amy Romanello, Cathrin Kodde, Matthias Endres, Sandra Frank, Peter Heuschmann, Philipp Koehler, Stephan Krohn, Daniel Pape, Jens Schaller, Sophia Stöcklein, Istvan Vadasz, Janne Vehreschild, Martin Witzenrath, Thomas Zoller, Carsten Finke, on behalf of the NAPKON Study Group, Y. Ahlgrimm, C. Finke, J. Fricke, T. Keil, L. Krist, N. Lisewsky, M. Mittermaier, M. Mueller‐Plathe, C. Pley, S. Schmidt, A. Stege, F. Steinbeis, S. Steinbrecher, C. Wildberg, M. Witzenrath, E. Zessin, T. Zoller, C. Arendt, C. Bellinghausen, S. Cremer, A. Groh, A. Gruenewaldt, Y. Khodamoradi, S. Klinsing, G. Rohde, M. Vehreschild, T. Vogl, S. Frank, J. C. Hellmuth, M. Huber, S. Kaeaeb, O. T. Keppler, E. Khatamzas, C. Mandel, S. Mueller, M. Muenchhoff, L. Reeh, C. Scherer, H. Stubbe, M. von Bergwelt, L. Weiss, B. Zwissler, S. Cleef, M. E. Figuera Basso, J. Franzenburg, K. Franzpoetter, A. Friedrichs, A. Hermes, J. Heyckendorf, C. Kujat, I. Lehmann, C. Maetzler, S. Meier, D. Pape, S. Poick, L. Reinke, A. K. Russ, A. M. Scheer, D. Schunk, T. Tamminga, S. Bohnet, D. Droemann, K. F. Franzen, R. Hoerster, N. Kaeding, M. Nissen, P. Parschke, J. Rupp, S. Caesar, H. Einsele, S. Frantz, A. Frey, A. Grau, K. Haas, C. Haertel, K. G. Haeusler, G. Hein, J. Herrmann, A. Horn, R. Jahns, P. Meybohm, F. A. Montellano, C. Morbach, J. Schmidt, P. Schulze, S. Stoerk, J. Volkmann, T. Bahmer, A. Hermes, M. Krawczak, W. Lieb, S. Schreiber, T. Tamminga, B. Balzuweit, S. Berger, J. Fricke, M. Hummel, A. Krannich, L. Krist, F. Kurth, J. Lienau, R. Lorbeer, C. Pley, J. Schaller, S. Schmidt, C. Thibeault, M. Witzenrath, T. Zoller, I. Bernemann, T. Illig, M. Kersting, N. Klopp, V. Kopfnagel, S. Muecke, M. Kraus, B. Lorenz‐Depiereux, G. Anton, A. Kuehn‐Steven, S. Kunze, M. K. Tauchert, K. Appel, M. Brechtel, I. Broehl, K. Fiedler, R. Geisler, S. M. Hopff, K. Knaub, C. Lee, S. Nunes de Miranda, S. Raquib, G. Sauer, M. Scherer, J. J. Vehreschild, P. Wagner, L. Wolf, J. C. Hellmuth, K. Guenther, F. Haug, J. Haug, A. Horn, M. Kohls, C. Fiessler, P. U. Heuschmann, O. Miljukov, C. Nuernberger, J. P. Reese, L. Schmidbauer, I. Chaplinskaya, S. Hanss, D. Krefting, C. Pape, M. Rainers, A. Schoneberg, N. Weinert, T. Bahls, W. Hoffmann, M. Nauck, C. Schaefer, M. Schattschneider, D. Stahl, H. Valentin, P. Heuschmann, A. L. Hofmann, S. Jiru‐Hillmann, J. P. Reese, S. Herold, P. Heuschmann, R. Heyder, W. Hoffmann, T. Illig, S. Schreiber, J. J. Vehreschild, M. Witzenrath   +190 more
wiley   +1 more source

Big Data and OLAP Systems

大数据, 2015
OLAP (online analytical processing) is a key technology of business intelligence based on relational data. In big data era, people want to achieve high performance OLAP using a large cluster of ordinary nodes.
Xiaoyong Du, Yueguo Chen, Xiongpai Qin
doaj