Results 71 to 80 of about 443,564 (206)

Update on Menopause Hormone Therapy; Current Indications and Unanswered Questions

Clinical Endocrinology, EarlyView.
ABSTRACT Objective To provide clinicians involved in managing menopause with a summary of current evidence surrounding menopause hormone therapy (MHT). Design The authors evaluate and synthesize existing pooled evidence relating to MHT's clinical indications, efficacy, and safety and explore the limitations of existing data. Patients The review focuses
Annice Mukherjee, Susan R. Davis
wiley   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

International Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis, Stefania Gubbiotti, Francesco Mariani   +2 more
wiley   +1 more source

Personalized Short-Term and Periodic Long-Term Preferences Modeling With Contrastive Learning for Next POI Recommendation

Next point-of-interest (POI) recommendation plays a crucial role in enhancing user travel experiences and driving platform revenues by suggesting potentially appealing locations to users.
Cai, Taotao, Zhao, Zhaosong, Ding, Linlin, Ma, Mingyang, Li, Mo   +4 more
core   +1 more source

Where To Go at the Next Timestamp

Data Science and Engineering
The next Point of Interest (POI) recommendation is the core technology of smart city. Current state-of-the-art models attempt to improve the accuracy of the next POI recommendation by incorporating temporal and spatial intervals or by partitioning the ...
Jiaqi Duan, Xiangfu Meng, Guihong Liu
doaj   +1 more source

Unified Stein‐Type Characterizations of Bivariate Count Distributions With Applications

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT The derivation and application of Stein identities have received considerable research interest, especially for continuous distributions and univariate discrete distributions. In this article, we derive a unified Stein‐type characterization for three bivariate count models, namely the bivariate Poisson, type‐I bivariate binomial, and bivariate
Shaochen Wang, Christian H. Weiß
wiley   +1 more source

Carotid artery dissection linked to intermittent apnoeic swimming: A case–control study

Experimental Physiology, EarlyView.
Abstract Internal carotid artery (ICA) dissection is a rare and potentially devastating cause of cerebral ischaemia, initiated by an intimal tear or rupture of the vasa vasorum, that can lead to an intraluminal thrombus, vascular stenosis, occlusion, or dissecting aneurysm formation.
Damian M. Bailey, Richard G. Davies, Brenig L. Gwilym, Benjamin S. Stacey, Danny Walmsley, Michael H. Lewis, Josip Butkovic, Ivan Mumlek, Brad Perry, Zvonomir Vrselja, Shigehiko Ogoh, James A. Pawelczyk, Mohamad Bashir, Richard D. White, Ian M. Williams   +14 more
wiley   +1 more source

Towards a new toolbox of statistical primitives: Optimally estimating the mean of a distribution

AI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Mean estimation is perhaps the most fundamental building block of statistics, yet the tools we use are surprisingly brittle. For example, the conventional method of using the sample mean can be made arbitrarily bad with a single extreme data point.
Jasper C. H. Lee
wiley   +1 more source

Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation

, 2023
POI recommendation is practically important to facilitate various Location-Based Social Network services, and has attracted rising research attention recently.
Xia, Jiangnan, Cao, Jiannong, Yu, Philip S., Wang, Senzhang, Yin, Hongzhi, Yang, Yu   +5 more
core  

A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.
A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman, Quazi Mamun, Michael Bewong, Md Zahidul Islam   +3 more
wiley   +1 more source

A Privacy-Preserving Framework for Trust-Oriented Point-of-Interest Recommendation

IEEE Access, 2018
Point-of-interest (POI) recommendation has attracted many interests recently because of its significant potential for helping users to explore new places and helping location-based service (LBS) providers to carry out precision marketing.
An Liu, Weiqi Wang, Zhixu Li, Guanfeng Liu, Qing Li, Xiaofang Zhou, Xiangliang Zhang   +6 more
doaj   +1 more source