Review
Computer Science, Artificial Intelligence
Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao, Yangdong Ye, Hui Yu
Summary: This paper provides a comprehensive review of deep MVL, covering methods in deep learning scope and extensions of traditional methods. It reviews representative MVL methods in deep learning like multi-view auto-encoder, and investigates advancements when traditional methods meet deep learning models. The paper also summarizes main applications, datasets, performance comparisons, and identifies open challenges for future research.
Article
Psychology, Multidisciplinary
Heather Braund
Summary: Metacognition is crucial for young children's academic success, although most research has focused on its development in later grades. This study explored metacognition in eight Kindergarten classrooms and found that teachers had incomplete conceptualizations of metacognition. The implementation of metacognitive practices faced barriers such as large classroom sizes and developmental readiness. However, early years educators were trying various strategies to promote metacognitive thinking in their Kindergarten classrooms.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Astronomy & Astrophysics
A. Boulais, O. Berne, G. Faury, Y. Deville
Summary: An original blind signal separation method is proposed to estimate the spectra and spatial abundances of pure components in hyperspectral images. The method combines nonnegative matrix factorization and sparse component analysis without depending heavily on algorithm initialization.
ASTRONOMY & ASTROPHYSICS
(2021)
Article
Computer Science, Software Engineering
H. Leovey, W. Roemisch
Summary: This study investigates the use of randomized QMC methods for approximating the expected recourse in two-stage stochastic optimization problems involving mixed-integer decisions. By exploiting the piecewise linear-quadratic structure of the second-stage optimal value function, the study establishes conditions under which randomized QMC methods exhibit good convergence rates, particularly when the effective dimension is low.
MATHEMATICAL PROGRAMMING
(2021)
Article
Oncology
Donsuk Pongnikorn, Phichayut Phinyo, Jayanton Patumanond, Karnchana Daoprasert, Pachaya Phothong, Boonying Siribumrungwong
Summary: Prognostic models developed for breast cancer patients in Western countries may not accurately predict survival for Asian populations. This study developed the IPBS model for breast cancer patients in Thailand, showing good performance in predicting overall survival and disease-free survival. External validation is needed before clinical implementation.
Article
Oncology
Thanapat Charumporn, Nutcha Jarupanich, Chanawin Rinthapon, Kantapit Meetham, Napat Pattayakornkul, Teerapant Taerujjirakul, Krittai Tanasombatkul, Chagkrit Ditsatham, Wilaiwan Chongruksut, Areerak Phanphaisarn, Donsuk Pongnikorn, Phichayut Phinyo
Summary: A prediction model named IPBS was developed for Thai female patients with breast cancer, specifically predicting survival and disease progression after five years. Although it showed promising results during development, its external performance remained unknown until this study validated it in a Northern Thai patient dataset. The model exhibited good discriminative ability, with minor overestimations in predictions that were corrected through recalibration.
Article
Health Care Sciences & Services
Elizabeth J. Adams, David Tallman, Marcy L. Haynam, Larissa Nekhlyudov, Maryam B. Lustberg
Summary: This study presents a unique methodology to analyze the psychosocial experiences of survivors of gynecological cancer using large amounts of data from internet-based platforms. The study found that survivors frequently discussed the role of friends and family in care, fatigue, the effect of cancer on interpersonal relationships, and health insurance status. The findings contribute valuable insights into the experiences of patients and can be applied to other patient populations.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Review
Biochemistry & Molecular Biology
Alexey Zamaraev, Pavel Volik, Gennady T. Sukhikh, Gelina S. Kopeina, Boris Zhivotovsky
Summary: Long non-coding RNAs (lncRNAs) play a significant role in tumor progression, impacting cellular processes and playing a key role in ovarian cancer.
BIOCHIMICA ET BIOPHYSICA ACTA-REVIEWS ON CANCER
(2021)
Article
Mathematics, Applied
Guangwang Su, Zhenhai Liu, Nikolaos S. Papageorgiou
Summary: This paper introduces a regularization method for a class of quasi-mixed equilibrium problems in Banach spaces. The existence of Minty inequality is proven using the Tychonov fixed point theorem, and solutions for the quasi-mixed equilibrium problems are discussed. Assumptions are proposed to ensure the boundedness and convergence of the regularized solutions.
JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS
(2021)
Article
Computer Science, Theory & Methods
Behrouz Zolfaghari, Leila Mirsadeghi, Khodakhast Bibak, Kaveh Kavousi
Summary: Ensemble methods are used to improve performance by combining different types of input data, features, or learning algorithms, and they are also utilized in cancer prognosis and diagnosis. However, research in this particular field is lagging behind the technology. A systematic review and taxonomy on ensemble methods used in cancer prognosis and diagnosis can help the research community catch up with the technology and even lead the field.
ACM COMPUTING SURVEYS
(2023)
Article
Social Sciences, Interdisciplinary
Fatemah H. Albalawi, Ali H. Al-Hoorie
Summary: This study used a sequential exploratory mixed-methods design to investigate the interrelationship among factors leading to demotivation in language learning and developed a demotivation model. Results showed that having a fixed mindset directly led to demotivation, with two indirect paths through lowering the learner's ideal L2 self and feeling disappointed by setbacks. The findings have implications for language learning and teaching.
Article
Oncology
Amanda Wurz, Jenson Price, Jennifer Brunet
Summary: The self-perceptions of adolescents and young adults after cancer treatment can be positively or negatively influenced and are affected by physical activity. While the EXSEM model captured intrapersonal factors related to self-perceptions after cancer treatment for AYAs, interpersonal and contextual factors beyond the model also played a role in shaping their self-perceptions.
SUPPORTIVE CARE IN CANCER
(2021)
Article
Oncology
Julien Peron, Thibaut Reverdy, Colette Smenteck, Marion Cortet, Benoit You, Gilles Freyer
Summary: The study indicates improvements in the evidence-base supporting new breast cancer drugs, with patient-relevant endpoints being used more frequently, although there are still challenges to be addressed including the infrequent use of these endpoints as primary endpoints.
Article
Multidisciplinary Sciences
Nicole C. Nelson, Kelsey Ichikawa, Julie Chung, Momin M. Malik
Summary: The core themes of reproducibility discussions are the incentive structure of science, transparency of methods and data, and the need for reform in academic publishing. Additionally, three distinct clusters of discussion focus on reagents, statistical methods, and the heterogeneity of the natural world. There are discursive differences between scientific and popular articles, but no strong differences in how scientists and journalists write about the reproducibility crisis.
Article
Health Care Sciences & Services
Zehra Baykal Akmese, Ummahan Yucel
Summary: This study aims to understand the perception of professional self-esteem among midwifery students and how it is formed, as well as to reveal their perception of the midwifery profession and how it determines their professional self-esteem. The study used a mixed-method approach, analyzing quantitative data through questionnaires and interviews with midwifery students in western Turkey. The results showed that there was a significant difference in self-esteem scores based on factors such as voluntary choice of the midwifery department and belief in ability to perform the profession. The main themes obtained from the qualitative data were the meaning of being a midwife, decision to become a midwife, and the challenges of the profession.
