Factors influencing breast feeding. [PDF]
, 1975 K S McKean, John Baum, K S Sloper
openalex +1 more source
Advanced Science, EarlyView.In the TME of NPC, C1q secreted by C1q+ TAMs interacted with GPR17 to activate PI3K/AKT signaling through strengthening GPR17 coupling PI3K and increasing calcium levels in tumor cells. The activated PI3K/AKT signaling further induces DNA hypermethylation to promote the malignancy and stemness of tumor cells.
Yunzhi Liu +11 more
wiley +1 more source
Effects of prenatal breast-feeding education on postnatal breast-feeding fear in pregnant women in the COVID-19 pandemic: A randomized clinical trial. [PDF]
Int J Nurs Pract, 2023 Sabancı Baransel E, Uçar T, Güney E.
europepmc +1 more source
Changes in the composition of the mammary secretion of women after abrupt termination of breast feeding. [PDF]
, 1978 Peter Hartmann, Jerzy K. Kulski
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Are all meats substitutes? A basket‐and‐expenditure‐based approach
Agribusiness, EarlyView.Abstract This study examines the relationship among animal‐based meat and plant‐based meat alternatives (PBMAs) using a basket‐and‐expenditure‐based choice experiment. In particular, we examine whether animal‐based meat products are substitutes or complements with PBMAs.
Clinton L. Neill, Logan L. Britton
wiley +1 more source
The relationship between pregnancy count and duration of breast-feeding with metabolic syndrome (Fasa Persian cohort study). [PDF]
BMC Womens Health, 2023 Zareei S +6 more
europepmc +1 more source
An Autoencoder and Generative Adversarial Networks Approach for Multi-Omics Data Imbalanced Class Handling and Classification [PDF]
arXivIn the relentless efforts in enhancing medical diagnostics, the integration of state-of-the-art machine learning methodologies has emerged as a promising research area. In molecular biology, there has been an explosion of data generated from multi-omics sequencing. The advent sequencing equipment can provide large number of complicated measurements per
arxiv
Increasing breast feeding in a community. [PDF]
, 1977 K S Sloper, E Elsden, John Baum
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Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology [PDF]
arXivA crucial step to efficiently integrate Whole Slide Images (WSIs) in computational pathology is assigning a single high-quality feature vector, i.e., one embedding, to each WSI. With the existence of many pre-trained deep neural networks and the emergence of foundation models, extracting embeddings for sub-images (i.e., tiles or patches) is ...
arxiv