Results 51 to 60 of about 255,061 (262)

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz, Alejandra Curbelo‐Paz, Sonia Morales, Elizabeth Contreras, Amy Houtrow, Scott H. Maurer, Judy C. Chang   +6 more
wiley   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source

Context-Aware Group Recommendation for Point-of-Interests

IEEE Access, 2018
Group recommendation generates a ranked list of recommendations for a group of users. Point-of-interests (POIs) group recommendation aims to suggest the most agreeable meeting places for a group of users. Although there are a lot of studies on group recommendation for POIs, few studies take into account the rationality of location for the whole group ...
Qiliang Zhu, Shangguang Wang, Bo Cheng 0001, Qibo Sun, Fangchun Yang, Rong N. Chang   +5 more
openaire   +2 more sources

An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy

Complex & Intelligent Systems, 2022
With the rapid development of point-of-interest (POI) recommendation services, how to utilize the multiple types of users’ information safely and effectively for a better recommendation is challenging.
Chonghuan Xu, Xinyao Mei, Dongsheng Liu, Kaidi Zhao, Austin Shijun Ding   +4 more
doaj   +1 more source

Parents of Youth With Cancer Report on Their Psychosocial Care: iSTEPPP Survey Finds Alignment and Gaps With Standards

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families guide the provision of comprehensive psychosocial care. Parallel to research characterizing implementation of the Standards from the perspective of providers, this study examines implementation of the Standards from the perspective of parents of youth ...
Emily M. Pariseau, Kimberly Buff, Michele A. Scialla, Kimberly S. Canter, Lori Wiener, Victoria Sardi‐Brown, Julia B. Tager, Kamyar Arasteh, Anne E. Kazak   +8 more
wiley   +1 more source

Spatio-temporal intention learning for recommendation of next point-of-interest

Geo-spatial Information Science
Next point-of-interest (POI) recommendation has been applied by many internet companies to enhance the user travel experience. Recent research advocates deep-learning methods to model long-term check-in sequences and mine mobility patterns of people to ...
Hao Li, Peng Yue, Shangcheng Li, Chenxiao Zhang, Can Yang   +4 more
doaj   +1 more source

Chemotherapy for Spinal Cord Intramedullary Pediatric Low‐Grade Glioma—A Systematic Literature Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko, Segev Gabay, Jonathan Roth, Amit Ringel, Rina Dvir, Shlomi Constantini   +5 more
wiley   +1 more source

Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering

Mathematics
Next point-of-interest (POI) recommendation provides users with location suggestions that they may be interested in, allowing them to explore their surroundings.
Jiubing Chen, Haoyu Wang, Jianxin Shang, Chaomurilige   +3 more
doaj   +1 more source

Exercise Capacity, Physical Activity, Fatigue, and Neurocognitive Function in Adult Survivors of Childhood Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Adult survivors of childhood acute lymphoblastic leukemia (ALL) are at risk of reduced exercise capacity, decreased physical activity levels, persistent fatigue, and neurocognitive deficits. The aim was to investigate exercise capacity and physical activity levels of adult survivors of childhood ALL and their associations with ...
Laura Jess, Gustaf Glavå, Simon Skau, Hans‐Georg Kuhn, Maria Bäck, Marianne Jarfelt   +5 more
wiley   +1 more source

AUC-MF: Point of Interest Recommendation with AUC Maximization [PDF]

2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019
The task of point of interest (POI) recommendation aims to recommend unvisited places to users based on their check-in history. A major challenge in POI recommendation is data sparsity, because a user typically visits only a very small number of POIs among all available POIs. In this paper, we propose AUC-MF to address the POI recommendation problem by
Peng Han 0005, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng 0001, Panos Kalnis   +5 more
openaire   +2 more sources