Results 151 to 160 of about 211,639 (296)

Feasibility of Comprehensive Genomic Profiling for Biliary Tract Cancer Using Transpapillary Biopsy Samples: A Prospective Study

Journal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
Graphical summary of the study design, intervention, and outcomes. ABSTRACT Background Patients with biliary tract cancer (BTC) often have actionable mutations, and comprehensive genomic profiling (CGP) plays an important role. However, the feasibility of CGP using transpapillary biopsy (TPB) samples remains unclear.
Kazuya Miyamoto, Kazuyuki Matsumoto, Toshiaki Ohara, Masayoshi Fujisawa, Hirohumi Inoue, Ryosuke Sato, Akihiro Matsumi, Yuki Fujii, Daisuke Uchida, Motoyuki Otsuka   +9 more
wiley   +1 more source

Corrigendum: Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach. [PDF]

Front Psychol, 2021
Xu Q, Markowska M, Chodorow M, Li P.
europepmc   +1 more source

Towards Clinical Translation of Intravoxel Incoherent Motion MRI: Acquisition and Analysis Consensus Recommendations

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Intravoxel incoherent motion (IVIM) MRI allows for simultaneous assessment of tissue microcirculation (perfusion) and diffusion of water. In single‐center studies, IVIM has shown great potential for diagnosis, treatment outcome prediction, and treatment monitoring for many different diseases and organs.
Eric E. Sigmund, Susanne S. Rauh, Mami Iima, Christian Federau, Diego Hernando, Oscar Jalnefjord, Jacobus F. A. Jansen, Jonas Jasse, Neil Peter Jerome, Misha P. T. Kaandorp, Sila Kurugol, Frederik B. Laun, Mira M. Liu, Alexandra Ljimani, Thoralf Niendorf, David A. Reiter, Mohammed Salman Shazeeb, Amita Shukla‐Dave, Julia Stabinska, Andreas Wetscherek, Peter T. While, Dan Wu, Denis Le Bihan, Oliver J. Gurney‐Champion   +23 more
wiley   +1 more source

Lexical gestures and lexical access: a process model [PDF]

, 2000
Robert M. Krauss, Yihsiu Chen, Rebecca F. Gottesman   +2 more
openaire   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

Journal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz, Kyriaki Fousiani, Susanne Scheibe, Raphael Eppler‐Hattab   +3 more
wiley   +1 more source

Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach. [PDF]

Front Psychol, 2021
Xu Q, Markowska M, Chodorow M, Li P.
europepmc   +1 more source

Targeting online sales through last‐mile delivery platform integration

Journal of Operations Management, Volume 71, Issue 2, Page 195-219, March 2025.
Abstract We analyze channel integration between a last‐mile delivery platform and a general merchandise retailer in two distinct stages: (1) platform delivery access (PDA), where the retailer continues to offer standard delivery through its own website but directs customers to the platform's website for new same‐day delivery; and (2) integrated ...
Kevin H. Park, Xiaodan Pan, Martin E. Dresner   +2 more
wiley   +1 more source

Change is hard: Individual differences in children's lexical processing and executive functions after a shift in dimensions. [PDF]

Lang Learn Dev, 2022
Pomper R, Kaushanskaya M, Saffran J.
europepmc   +1 more source

Unsupervised phenotyping of the periodontal architecture through high‐dimensional clustering of electronic health records: A multicenter study

Journal of Periodontology, EarlyView.
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley   +1 more source