Results 71 to 80 of about 975 (190)

Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach

Journal of Forecasting, Volume 45, Issue 4, Page 1985-2000, July 2026.
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch, Candace Berrett, Mason Ferlic, Kimberly F. Sellers   +3 more
wiley   +1 more source

Clinical Challenges in Transition to Adult Care for Young People With Endocrinopathies

Clinical Endocrinology, Volume 105, Issue 1, Page 14-21, July 2026.
ABSTRACT The complexity of transition of pediatric patients to adult care is well recognized, with a multidisciplinary approach widely agreed to be essential. Despite extensive existing literature in this area, practical guidance as to the management of specific medical aspects and how to address these with patients and families is lacking, with little
Margaret Zacharin, Quynh‐Nhu Nguyen
wiley   +1 more source

Islet Autoantibodies in Adult With Pituitary and Ovarian Autoimmunity: Implications for Type 1 Diabetes Screening

Diabetes, Obesity and Metabolism, Volume 28, Issue 7, Page 5827-5833, July 2026.
ABSTRACT Purpose Type 1 diabetes is a chronic autoimmune disease characterised by progressive pancreatic β‐cell destruction and the early appearance of islet autoantibodies (islet‐AAb) during the pre‐symptomatic phases. Given the growing interest in screening and prevention of type 1 diabetes, this study aimed to assess the prevalence of pancreatic ...
Giuseppe Bellastella, Michela di Nuzzo, Miriam Longo, Paolo Cirillo, Antonietta Maio, Nicole Di Martino, Silvia Angelino, Paola Caruso, Lorenzo Scappaticcio, Maria Teresa Vietri, Maria Ida Maiorino, Katherine Esposito   +11 more
wiley   +1 more source

DCal-Rec: A Spatio-Temporal Distribution Calibration Framework for Next-POI Recommendation

ISPRS International Journal of Geo-Information
The rapid expansion of mobile user behavior data has made next-Point-of-Interest (POI) recommendation increasingly vital for enhancing personalized location-based services.
Meihui Shi, Peng Zhang, Jinlian Du, Zhi Cai   +3 more
doaj   +1 more source

GARG: Anonymous Recommendation of Point-of-Interest in Mobile Networks by Graph Convolution Network

Data Science and Engineering, 2020
The advances of mobile equipment and localization techniques put forward the accuracy of the location-based service (LBS) in mobile networks. One core issue for the industry to exploit the economic interest of the LBSs is to make appropriate point-of ...
Shiwen Wu, Yuanxing Zhang, Chengliang Gao, Kaigui Bian, Bin Cui   +4 more
doaj   +1 more source

First Generation Proteolysis Targeting Chimeras (PROTACs) for the Treatment of Progeria

Advanced Science, Volume 13, Issue 32, 9 June 2026.
We report the first PROTACs designed to degrade progerin, introducing a novel therapeutic approach for progeria. The best compound, UCM‐18142, significantly reduces progerin levels and improves key disease phenotypes in patient‐derived cells and in the LmnaG609G/G609G mouse model, paving the way for new treatment strategies targeting the root cause of ...
Jon Macicior‐Michelena, Marcelino Telechea, Daniel Fernández, Alba García‐Martín, Ángeles Canales, Silvia Ortega‐Gutiérrez   +5 more
wiley   +1 more source

GeoMamba: Toward Efficient Geography-Aware Sequential POI Recommendation

IEEE Access
“Where to go next” is the fundamental problem in sequential point-of-interest (POI) recommendation, which takes as input the individual check-in history, mines the dynamic preference and suggests the expected POI for the next step behavior.
Jiubing Chen, Haoyu Wang, Jianxin Shang
doaj   +1 more source

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation

CoRR
Next Point-of-interest (POI) recommendation provides valuable suggestions for users to explore their surrounding environment. Existing studies rely on building recommendation models from large-scale users' check-in data, which is task-specific and needs extensive computational resources.
Shanshan Feng 0001, Haoming Lyu, Caishun Chen, Yew-Soon Ong   +3 more
openaire   +3 more sources

Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome

Food Biomacromolecules, Volume 3, Issue 2, Page 237-251, June 2026.
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley   +1 more source

Point of Interest Recommendation System Using Sentiment Analysis

Journal of Information Science Theory and Practice
Sentiment analysis is one of the promising approaches for developing a point of interest (POI) recommendation system. It uses natural language processing techniques that deploy expert insights from user-generated content such as reviews and feedback.
Gaurav Meena, Ajay Indian, Krishna Kumar Mohbey, Kunal Jangid   +3 more
doaj   +1 more source