Results 41 to 50 of about 1,026 (182)

Providing privacy preserving in next POI recommendation for Mobile edge computing

Journal of Cloud Computing: Advances, Systems and Applications, 2020
Point of interest (POI) recommendation can benefit users and merchants. It is a very important and popular service in modern life. In this paper, we aim to study the next new POI recommendation problem with the consideration of privacy preserving in edge
Li Kuang, Shenmei Tu, Yangqi Zhang, Xiaoxian Yang   +3 more
doaj   +1 more source

Rapid and Efficient Affinity Isolation of Engineered Extracellular Vesicles Encapsulating Functional Proteins via Internal Twin‐Strep Tetraspanin Tagging

Small, EarlyView.
Structure‐guided internal twin‐Strep tagging of the tetraspanins CD63 or CD9 enables rapid and efficient antibody‐free affinity isolation of engineered extracellular vesicles (EVs) using Strep technology while allowing luminal protein loading. The approach removes over 96% of contaminants, separates tagged EVs from coexisting viral particles, and ...
Minh‐Tu Pham, Jona Benjamin Krohn, Janis Meyer, Christian Ritter, Martin Schneider, Dominic Helm, Dario Frey, Kleopatra Rapti, Uta Haselmann‐Weiss, Elif Toprak, Viet Loan Dao Thi, Florian Leuschner, Dirk Grimm, Karl Rohr, Ralf Bartenschlager   +14 more
wiley   +1 more source

Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation

IEEE Access
Next Point-of-Interest (POI) recommendation, a sub-task of POI recommendation, focuses on predicting the next POI a user will visit, relying on the user’s sequential check-in history.
Guoning Lv, Min Gao
doaj   +1 more source

Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network

Bioengineering, 2023
In recent years, there has been a growing interest in developing next point-of-interest (POI) recommendation systems in both industry and academia. However, current POI recommendation strategies suffer from the lack of sufficient mixing of details of the
Abbas Bagherian Kasgari, Sadaf Safavi, Mohammadjavad Nouri, Jun Hou, Nazanin Tataei Sarshar, Ramin Ranjbarzadeh   +5 more
doaj   +1 more source

Risk of Cancer With Hormone Replacement Therapy: A Narrative Review

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Hormone replacement therapy (HRT) remains the cornerstone of menopausal symptom management, effectively alleviating vasomotor symptoms and genitourinary syndrome, whilst mitigating long‐term risks such as osteoporosis. However, despite an increasing body of evidence on the relative safety of HRT, earlier studies that demonstrated an increased ...
Gabriella Yongue, Zachary Nash, Vikram Talaulikar, Shibani Nicum   +3 more
wiley   +1 more source

Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks

ISPRS International Journal of Geo-Information, 2019
Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
doaj   +1 more source

Menopausal status at the age of 46: Its association with depressive and anxiety symptoms and morbidity in women—A northern Finland birth cohort 1966 study

Acta Obstetricia et Gynecologica Scandinavica, EarlyView.
Women who are perimenopausal or menopausal at age 46 have a higher risk of anxiety and depressive symptoms than premenopausal women. Early‐onset menopause highlights the need for mental health support during and after the menopausal transition. Abstract Introduction The incidence of several morbidities increases during the menopausal transition ...
Tiia Saarinen, Susanna M. Savukoski, Paula Pesonen, Jouko Miettunen, Maarit Niinimäki   +4 more
wiley   +1 more source

Joint Triplet Loss Learning for Next New POI Recommendation

CoRR, 2022
Sparsity of the User-POI matrix is a well established problem for next POI recommendation, which hinders effective learning of user preferences. Focusing on a more granular extension of the problem, we propose a Joint Triplet Loss Learning (JTLL) module for the Next New ($N^2$) POI recommendation task, which is more challenging.
Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh   +3 more
openaire   +2 more sources

Multi-View Contrastive Fusion POI Recommendation Based on Hypergraph Neural Network

Mathematics
In the era of information overload, location-based social software has gained widespread popularity, and the demand for personalized POI (Point of Interest) recommendation services is growing rapidly.
Luyao Hu, Guangpu Han, Shichang Liu, Yuqing Ren, Xu Wang, Ya Liu, Junhao Wen, Zhengyi Yang   +7 more
doaj   +1 more source

A covalent peptide engager approach to equip immunotherapeutic monoclonal and pan IgG serum antibodies with new tumour‐targeting function

British Journal of Pharmacology, EarlyView.
Abstract Background and Purpose Site‐specific antibody modification is a useful chemical strategy to elaborate antibody therapeutic function. Conventional lysine‐ or cysteine‐based conjugation methods generate heterogeneous products, while protein engineering approaches are resource‐intensive.
Karolina Krygier, Sandra Szu‐Wei Hwang, Anthony F. Rullo   +2 more
wiley   +1 more source