Results 51 to 60 of about 3,545,579 (292)

Exploring biases related to the use of large language models in a multilingual depression corpus

Scientific Reports
Recent advancements in Large Language Models (LLMs) present promising opportunities for applying these technologies to aid the detection and monitoring of Major Depressive Disorder.
Paula Andrea Perez-Toro, Judith Dineley, Raquel Iniesta, Yuezhou Zhang, Faith Matcham, Sara Siddi, Femke Lamers, Josep Maria Haro, Brenda W. J. H. Penninx, Amos A. Folarin, Tomas Arias-Vergara, Juan Rafael Orozco-Arroyave, Elmar Nöth, Andreas Maier, Til Wykes, Srinivasan Vairavan, Richard Dobson, Vaibhav A. Narayan, Matthew Hotopf, Nicholas Cummins   +19 more
doaj   +1 more source

Marketing and Data Science: Together the Future is Ours

GfK Marketing Intelligence Review, 2016
The synergistic use of computer science and marketing science techniques offers the best avenue for knowledge development and improved applications. A broad area of complementarity between the typical focus in statistics and computer science and that in ...
Chintagunta Pradeep, Hanssens Dominique M., Hauser John R.   +2 more
doaj   +1 more source

The use of on-line co-training to reduce the training set size in pattern recognition methods: application to left ventricle segmentation in ultrasound

, 2012
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years.
Nascimento, J., Carneiro, G., G. Carneiro, J. C. Nascimento   +3 more
core   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

FEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia, Rachel Heilmann, Maximiliano Barrientos, Laura MacNeill, Ingrid Vallee, Sarah K. Schultz, Patrick O'Donoghue, Angelica A. Moresco, Victoria M. Siu, Ilka U. Heinemann   +9 more
wiley   +1 more source

Recognition without identification, erroneous familiarity, and déjà vu [PDF]

, 2010
Déjà vu is characterized by the recognition of a situation concurrent with the awareness that this recognition is inappropriate. Although forms of déjà vu resolve in favor of the inappropriate recognition and therefore have behavioral consequences ...
Chris J. A. Moulin, O'Connor, Akira Robert, Moulin, Chris, Akira R. O’Connor   +3 more
core   +1 more source

Five‐Year Outcomes of Laparoscopic Sphincter‐Preserving Surgery for Rectal Cancer: A Prospective Study in Elderly Vietnamese Patients

Aging and Cancer, EarlyView.
This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho, Quang Le, Ngoc Thach Tran, Van Viet Ung, Loc Vu   +4 more
wiley   +1 more source

High-Order Circular Derivative Pattern for Image Representation and Recognition [PDF]

, 2010
Micropattern based image representation and recognition, e.g. Local Binary Pattern (LBP), has been proved successful over the past few years due to its advantages of illumination tolerance and computational efficiency. However, LBP only encodes the first-
Caelli, T, Zhao, S, Gao, Y, Zhao, Sanqiang, Caelli, Terry, Sanqiang Zhao, Terry Caelli, Yongsheng Gao, Gao, Yongsheng   +8 more
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

High-altitude cerebral oxygen saturation detection using wireless wearable cerebral oximeter

Frontiers in Neurology
BackgroundHypobaric hypoxic conditions encountered at high altitudes can significantly impact the physiological functions of human body. Therefore, accurate and real-time monitoring of physiological characteristics is crucial for the prevention of brain ...
Juanning Si, Yifang He, Junyuan Yao, Jian Yu, Jian Yu, Rixing Jing, Qing He, Xin Zhang, Xin Zhang, Lijun Xiao, Lijun Xiao   +10 more
doaj   +1 more source