Results 61 to 70 of about 1,026 (182)

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 HieArarchical LSTM Framework for Capturing Long- and Short-Term Preferences in POI Recommendation

ITEGAM-JETIA
Point-of-Interest (POI) recommendation is crucial for improving user experience in location-based social networks (LBSNs). With the growing number of users checking in at various places personalized recommendations are necessary to provide relevant ...
Sarala Patchala, Vijay Babu Burra, Vullam Naga Gopi Raju, Banda SNV Ramana Murthy, Desamala Prabhakara Rao   +4 more
doaj   +1 more source

Direct evidence implicating the asymmetrical dimethylarginine (ADMA)‐dimethylarginine dimethylaminohydrolase 1 (DDAH1) pathway in cerebrovascular dysfunction and stroke pathogenesis in mice

British Journal of Pharmacology, Volume 183, Issue 21, Page 6422-6443, November 2026.
Abstract Background and Purpose Asymmetrical dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase (NOS), whereas dimethylaminohydrolase 1 (DDAH1) is primarily responsible for its metabolism. However, the roles of DDAH1 in cerebrovascular regulation are poorly understood. Furthermore, despite evidence that elevated ADMA levels are
Arun Flynn, Alexandra Riddell, Ashton Bernard, Jennifer Haggarty, Stefan Weidt, Jawza Alenazi, Erika Trabold, Delyth Graham, Laura B. Dowsett, James Leiper, Alyson A. Miller   +10 more
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

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

Cerebral Lateralization for Language as a Potential Biomarker for the Broad Autism Phenotype: A Functional Transcranial Doppler Ultrasonography Investigation

Brain and Behavior, Volume 16, Issue 10, October 2026.
ABSTRACT Introduction Autism spectrum disorder (ASD) is associated with language deficits, while growing evidence suggests that atypical cerebral lateralization for language could serve as a potential neural marker for ASD. The present study seeks to investigate cerebral lateralization for language not only in terms of ASD, but also as a potential ...
Venetia Mendrinou, Anastasia K. Papadopoulou, Ioanna Panopoulou, Filippos Vlachos, Sebastian Ocklenburg, Banu Ahtam, Nicholas A. Badcock, Phivos Phylactou, Marietta Papadatou‐Pastou   +8 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

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

Ovarian Reserve in Women of Reproductive Age With Sickle Cell Anaemia: A Scoping Review

eJHaem, Volume 7, Issue 5, October 2026.
ABSTRACT Background Sickle cell anaemia (SCA) is an inherited haemoglobinopathy disproportionately common among people of African origin, though it affects multiple global populations. Emerging evidence suggests that chronic haemolysis, inflammation and treatment exposures in SCA may affect ovarian function.
Kehinde Awodele, Sunday Charles Adeyemo, Adeniyi Olanipekun Fasanu, John Oluwadamilola Ojo, Haruna Oche Ahmadu   +4 more
wiley   +1 more source

Menopause and comorbidity assessment in cisgender women living with HIV in Victoria: A clinic record review of women seen at three tertiary centres in Melbourne, Australia

HIV Medicine, Volume 27, Issue 10, Page 1609-1616, October 2026.
Abstract Background Data on women ageing with HIV in Australia are limited, particularly regarding those in midlife and experiencing menopause. The aim of this study is to describe the demographic characteristics of cisgender women living with HIV who attend the Alfred Hospital, Monash Medical Centre and Melbourne Sexual Health Centre for primary HIV ...
Anna B. Pierce, Sushena Krishnaswamy, Philip Rawson‐Harris, Wajeeha Fatima, Melanie Bissessor, Jennifer F. Hoy   +5 more
wiley   +1 more source