Results 31 to 40 of about 147,166 (261)

Preference-based learning to rank [PDF]

Machine Learning, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nir Ailon, Mehryar Mohri
openaire   +2 more sources

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

Discovering the Learning Gradient of Students’ Preferences for Learning Environment

Journal of Intelligence, 2023
The aim of this study was to examine the effects of online learning self-regulation on learning outcomes during the COVID-19 pandemic lockdown among university college students.
Carsten Kronborg Bak, Simon Schulin, Jeanne Krammer   +2 more
doaj   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

LEARNING PREFERENCES; TEACHING MEDICAL FACULTY

The Professional Medical Journal, 2015
Introduction: This study has focused to know the learning preferences amongfaculty considering different methodologies and considering about CME to improve healthcare.Objectives: To identify the gaps in knowledge regarding CME in medical faculty of Lahore andto see the awareness of the CME among them.
Abdul Rashid Ch, Irshad Nabi Sandhu, Muhammad Arif Ali, Asad Ali Sandhu   +3 more
openaire   +2 more sources

Learning Preferences with Side Information [PDF]

Management Science, 2019
Product and content personalization is now ubiquitous in e-commerce. There are typically not enough available transactional data for this task. As such, companies today seek to use a variety of information on the interactions between a product and a customer to drive personalization decisions.
Vivek F. Farias, Andrew A. Li
openaire   +3 more sources

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Identifying learner strategies for second/foreign language learning and use: The choice of assessment tools

Rozprawy Społeczne, 2019
The main aim of this article is to explore the question of what assessment methods researchers and teachers can employ in order to identify second/foreign language learners’ strategies for language learning and use, bearing in mind a number of vital ...
Małgorzata Dąbrowska
doaj   +1 more source

Preference Learning and Demand Forecast [PDF]

SSRN Electronic Journal, 2019
This paper develops a theory-based, cost-effective method to forecast actual product demand using inexpensive choice experiment data.
Xinyu Cao, Juanjuan Zhang
openaire   +2 more sources