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Novel mutually embedded Rh concave nanocubes were synthesized by reducing Rh(acac) in tetraethylene glycol in the presence of benzyldimethylhexadecylammonium, KI and polyvinylpyrrolidone under microwave irradiation for 120 s. KI and HDBAC were crucial to the formation of mutually embedded nanostructures. The as-prepared Rh nanocrystals exhibited higher electrocatalytic activity and stability.
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http://dx.doi.org/10.1039/c9ra02650a | DOI Listing |
Comput Biol Chem
August 2025
Laboratory of Regenerative Medicine, Faculty of Biology and Biotechnology, University of Science, Ho Chi Minh City, 700000, Viet Nam; Viet Nam National University, Ho Chi Minh City, 720325, Viet Nam. Electronic address:
Single-cell RNA-seq (scRNA-seq) analysis demands representations that are robust to sparsity and technical noise. We present scInfoMaxVAE, a mutual-information-maximizing variational autoencoder with a zero-inflated count likelihood tailored for scRNA-seq, designed for dimensionality reduction and cell-type classification. We evaluated the model on 12 public scRNA-seq datasets spanning multiple tissues and platforms using a unified pipeline with cell- and gene-level quality control (minimum detected genes), library-size normalization, log-transform, and reference-based cell-type annotation.
View Article and Find Full Text PDFPLoS One
August 2025
School of International Development and Global Studies, University of Ottawa, Ottawa, Ontario, Canada.
Introduction: In Ethiopia, Maternal, Newborn, and Child Health (MNCH) outcomes have been improving, however, the current level of Maternal and under-five children mortality remains the highest in the world. Despite the rhetoric around the significance of multi-stakeholder engagement as a buzzword in development theories and polices to improve health and other development outcomes, there is limited evidence on how multi-stakeholders intersect and mutually reinforce each other toward the coproduction of improved MNCH outcomes and a resilient community health system. The aim of this manuscript is to examine barriers to and facilitators of coproduction in the context of multi-stakeholder engagement to optimize MNCH outcomes and a resilient community health system in rural Ethiopia.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt.
Post-Translational Modifications (PTMs), particularly lysine 2-hydroxyisobutyrylation (Khib), represent critical regulatory mechanisms governing protein structure and function, with mounting evidence underscoring their important implications in cellular metabolism, transcriptional regulation, and pathological processes. Despite this significance, the experimental identification of Khib sites remains constrained by resource-intensive methodologies and the transient nature of these modifications. To overcome these limitations, we introduce HyLightKhib, a computational framework that leverages Light Gradient Boosting Machine architecture for accurate Khib site prediction.
View Article and Find Full Text PDFSensors (Basel)
August 2025
Department of UAV Engineering, Shijiazhuang Campus, Army Engineering University, Shijiazhuang 050003, China.
Apple-detection performance in orchards degrades markedly under low-light conditions, where intensified noise and non-uniform exposure blur edge cues critical for precise localisation. We propose Knowledge Distillation with Geometry-Consistent Feature Alignment (KDFA), a compact end-to-end framework that couples image enhancement and detection through the following two complementary components: (i) Cross-Domain Mutual-Information-Bound Knowledge Distillation, which maximises an InfoNCE lower bound between daylight-teacher and low-light-student region embeddings; (ii) Geometry-Consistent Feature Alignment, which imposes Laplacian smoothness and bipartite graph correspondences across multiscale feature lattices. Trained on 1200 pixel-aligned bright/low-light image pairs, KDFA achieves 51.
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