Results 191 to 200 of about 1,043 (255)

Uncertainty aware and explainable construction cost prediction using a hybrid probabilistic learning model. [PDF]

Sci Rep
Chen L, Khalid OW, Tiang JJ, Tiang SS, Shin DY, Choo YH, Sharma A, Lim WH.   +7 more
europepmc   +1 more source

Integrating Artificial Intelligence in Periodontal Diagnosis: A Comparative Evaluation of ChatGPT‐4 and Dental Educators

Journal of Dental Education, EarlyView.
ABSTRACT Objective As artificial intelligence (AI) tools gain traction in healthcare, their role in periodontal diagnostics remains largely unexplored. This study evaluated the diagnostic accuracy of ChatGPT‐4 in applying the 2017 Classification of Periodontal and Peri‐Implant Diseases and Conditions compared to US dental school faculty, with the goal ...
Ellie Y. Ji, Kobe A. George, Zabihulla Ahmadi, Eva Bender, Matthew Finkelman, Mark Mintline, Samantha Parad, Thiago Porto, Celine C. Sheng, Aditya Tadinada, Jennifer Chang   +10 more
wiley   +1 more source

Generative Principal Component Regression via Variational Inference. [PDF]

IEEE Trans Signal Process
Talbot A, Keller CJ, Trevino C, Carlson DE, Dammer EB, Johnson ECB, Wingo TS, Kotlar AV.   +7 more
europepmc   +1 more source

Macroscopic, Histological and Ultrastructural Features of the Tongue of the Anatolian Wild Boar (Sus scrofa libycus)

Microscopy Research and Technique, EarlyView.
Integrated macroscopic, histological, and ultrastructural analyses revealed five distinct lingual papillae types (filiform, fungiform, conical, foliate, and vallate) in the Anatolian wild boar (Sus scrofa libycus). Mechanical papillae showed marked structural specialization, while gustatory papillae exhibited region‐specific distribution of taste buds.
Fatma Işbilir, Banu Kandil, Muhammed Zahid Atli, İhsan Işbilir, Barış Can Güzel   +4 more
wiley   +1 more source

Understanding Peelle's Pertinent Puzzle bias in generalized least squares regression through eigenspectrum analysis. [PDF]

Sci Rep
Walton NAW, Fritsch WN, Lewis AM, Forbes J, Neudecker D, Sobes V.   +5 more
europepmc   +1 more source

Until Work From Home Do Us Apart? Couples' Segmentation Preferences and Relationship Dissolution in the Era of Remote Work

Journal of Organizational Behavior, EarlyView.
ABSTRACT Work from home (WFH) is recognized as carrying both risks and benefits for individuals. However, its impact on romantic couples remains poorly understood. Drawing on boundary theory and family systems theory, we propose that WFH can render certain couples vulnerable to separation and trace the process through which this occurs.
Alejandro Canek Hermida Carrillo, Felix Bölingen, Russell A. Matthews, Ingo Weller   +3 more
wiley   +1 more source

The Relation Between Two Types of Frequent Wave Breaking Over Southeastern Siberia and Different Conditions of Unseasonable Midsummer Weather Over Japan

International Journal of Climatology, EarlyView.
To analyze the different morphologies of Rossby wave breaking over Eastern Siberia and their relationships with the anomalous patterns of temperature and precipitation that cause unseasonable midsummer weather conditions over Japan, we performed regression analyses against the interannual variabilities of the anticyclonic and cyclonic Rossby wave ...
Kazuto Takemura
wiley   +1 more source

Robust angle-based transfer learning in high dimensions. [PDF]

J R Stat Soc Series B Stat Methodol
Gu T, Han Y, Duan R.
europepmc   +1 more source

Assessing the Performance of the Copernicus European Regional Reanalysis Dataset in Reproducing Extreme Weather Events in Poland

International Journal of Climatology, EarlyView.
Global reanalyses, for example ERA5 and ERA5‐Land, tend to misrepresent the local‐scale weather extremes due to the limited spatial resolution. In this paper CERRA shows clear and consistent improvements over ERA5 and ERA5‐Land in representing extreme temperature and precipitation in Poland, particularly for localized and short‐lived heavy rainfall ...
Kinga Kulesza, Maciej Jefimow, Joanna Strużewska   +2 more
wiley   +1 more source

Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study. [PDF]

Stat Methods Med Res
van de Wiel MA, Leday GG, Heymans MW, van Zwet EW, Zwinderman AH, Hoogland J.   +5 more
europepmc   +1 more source