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Effect of nutrition education and iron-folic acid supplementation on anemia among pregnant women in Ethiopia: a quasi-experimental study.
Sci Rep
January 2025
Butajira City Administration Health Office, Gurage Zone, Ethiopia.
The aim of this study was to assess the effect of nutrition education and counseling using health belief health model constructs along with iron-folic acid supplementation on hemoglobin level and adherence to IFAs during pregnancy. The study was a three-month quasi-experimental study design in Butajira town, Ethiopia. Community-based nutrition education and counseling sessions using the Health belief model, and IFAS for six weeks were given to the pregnant women.
View Article and Find Full Text PDFRecurrent neural networks with transient trajectory explain working memory encoding mechanisms.
Commun Biol
January 2025
Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Whether working memory (WM) is encoded by persistent activity using attractors or by dynamic activity using transient trajectories has been debated for decades in both experimental and modeling studies, and a consensus has not been reached. Even though many recurrent neural networks (RNNs) have been proposed to simulate WM, most networks are designed to match respective experimental observations and show either transient or persistent activities. Those few which consider networks with both activity patterns have not attempted to directly compare their memory capabilities.
View Article and Find Full Text PDF"Multimodal Sleep Signal Tensor Decomposition and Hidden Markov Modeling for Temazepam-Induced Anomalies Across Age Groups".
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
On latent dynamics learning in nonlinear reduced order modeling.
Neural Netw
January 2025
MOX, Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, 20133, Italy. Electronic address:
In this work, we present the novel mathematical framework of latent dynamics models (LDMs) for reduced order modeling of parameterized nonlinear time-dependent PDEs. Our framework casts this latter task as a nonlinear dimensionality reduction problem, while constraining the latent state to evolve accordingly to an unknown dynamical system. A time-continuous setting is employed to derive error and stability estimates for the LDM approximation of the full order model (FOM) solution.
View Article and Find Full Text PDFA case-control genome-wide association study of estimated breeding values for resistance to gastrointestinal nematodes in two local dairy sheep breeds.
Animal
December 2024
University of Molise, Department of Agricultural, Environmental and Food Science, Campobasso, Italy.
In sheep, gastrointestinal nematodes (GINs) can cause disease, reduced feed intake, and nutritional deficiencies. To counteract GINs, anthelmintics are widely used although it is well known they may enter the environment impacting ecosystems. In addition, anthelmintics resistance has rapidly developed and consequently, alternative approaches are crucial for profitable and sustainable sheep production.
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