Results 61 to 70 of about 975 (190)

The Surprising Bias of PPML Estimates of Structural Gravity Models With Two‐Way Fixed Effects

Review of International Economics, EarlyView.
ABSTRACT The previous literature has shown that the Poisson Pseudo‐Maximum Likelihood (PPML) estimator provides consistent and asymptotically unbiased estimates of the parameters of structural gravity models with two‐way fixed effects, although their standard errors need correction.
Ben Shepherd, Tom Zylkin
wiley   +1 more source

Heterogeneous Graph Structure Learning for Next Point-of-Interest Recommendation

Algorithms
Next Point-of-Interest (POI) recommendation is aimed at predicting users’ future visits based on their current status and historical check-in records, providing convenience to users and potential profits to businesses.
Juan Chen, Qiao Li
doaj   +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

Adaptive Fusion of Dual-Scale Preference Disentanglement for Next POI Recommendation

IEEE Access
Next point-of-interest (POI) recommendation has emerged as a key research topic within location-based social networks. Prior studies suggest that combining users’ enduring preferences with their short-term behaviors can substantially improve ...
Qing Zhang, Sizhe Zeng, Yingru Chen, Guanghui Sun, Junhao Wen   +4 more
doaj   +1 more source

Rebalancing Software Defect Datasets via Mutation: Performance Insights From Prediction Models Based on Software Measures

Software Testing, Verification and Reliability, Volume 36, Issue 5, August 2026.
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner, Görkem Giray, Onur Demirörs   +2 more
wiley   +1 more source

In Vitro Fertilization is Essential Healthcare for Patients With Rheumatic Disease

ACR Open Rheumatology, Volume 8, Issue 7, July 2026.
Infertility presents a profound physical, emotional, and financial burden, particularly for rheumatology patients who often face substantial barriers to family building. The 2024 Alabama Supreme Court ruling in LePage v. Center for Reproductive Medicine equating embryo destruction with wrongful death introduced new legal uncertainties, sparking ...
Amanda Moyer, Catherine A. Sims, Rosalind Ramsey‐Goldman, Solmaz Chamanara, Cuoghi Edens   +4 more
wiley   +1 more source

A Tour Recommendation System Considering Implicit and Dynamic Information

Applied Sciences
Tourism has become one of the world’s largest service industries. Due to the rapid development of social media, more people like self-guided tours than package itineraries planned by travel agencies.
Chieh-Yuan Tsai, Kai-Wen Chuang, Hen-Yi Jen, Hao Huang   +3 more
doaj   +1 more source

A hybrid system for personalized next point-of-interest recommendations using deep learning and fuzzy logic [PDF]

PeerJ Computer Science
We propose TourOptiGuide, a hybrid tourism recommendation prototype that integrates deep learning and fuzzy logic for context-aware point-of-interest (POI) suggestion. The system generates next-POI recommendations by jointly considering four factors: the
Intissar Hilali, Nouha Arfaoui, Amel Ksibi, Ridha Ejbali   +3 more
doaj   +2 more sources

Forecasting New Employment Using Nonrepresentative Online Job Advertisements With an Application to the Italian and EU Labor Market

Journal of Forecasting, Volume 45, Issue 4, Page 1529-1558, July 2026.
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio, Mario Mezzanzanica   +1 more
wiley   +1 more source

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation

CoRR, 2018
Next Point-of-Interest (POI) recommendation is of great value for both location-based service providers and users. Recently Recurrent Neural Networks (RNNs) have been proved to be effective on sequential recommendation tasks. However, existing RNN solutions rarely consider the spatio-temporal intervals between neighbor check-ins, which are essential ...
Pengpeng Zhao 0001, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu 0001, Victor S. Sheng   +5 more
openaire   +2 more sources