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Relevant bibliographies by topics / MHI/MEI

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Journal articles
Dissertations / Theses
Book chapters

Academic literature on the topic 'MHI/MEI'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "MHI/MEI"

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Carlon, David B., S. Maria Garcia, and Anuschka Faucci. "Coupling and de-coupling of the El Niño Southern Oscillation to the supply of larval fishes to benthic populations in the Hawaiian Islands." PLOS ONE 19, no. 10 (2024): e0312593. http://dx.doi.org/10.1371/journal.pone.0312593.

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Several recent high intensity ENSO events have caused strong negative impacts on the adult phases of foundational species in coral reef ecosystems, but comparatively little is known about how climatic variables related to recent ENSOs are impacting the supply of larvae to benthic populations. In marine fishes and invertebrates, reproductive adults and planktonic larvae are generally more sensitive to environmental variability than older, non-reproductive adults. Further, the transport of larvae in ocean currents may also be strongly ENSO dependent. The interactions between the dynamics of larv

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Baitanu, Orquidia Eka Putri, Ari Andriyani, Christina Pernatun Kismoyo, and Retno Heru Setryorini. "PENGUKURAN TINGKAT DEPRESI IBU PASCASALIN DENGAN EDINBURGH POSTNATAL DEPRESSION SCALE DI PUSKESMAS SEWON." Midwifery Journal: Jurnal Kebidanan UM. Mataram 9, no. 1 (2025): 40. https://doi.org/10.31764/mj.v9i1.16532.

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Abstract: One of five women have a depressive disorder during pregnancy and the first year after giving birth. Untreated postpartum mother psychological disorders will have a negative impact on the mother and baby. Mother Hope Indonesia (MHI) recommends early management to detect postpartum depression using the Edhinburgh Postnatal Depression Scale (EPDS) screening instrument. The purpose of this study was to determine the results of measuring the depression level of postpartum mothers at the Puskesmas Sewon I & II.The research design used was descriptive analytic with a cross-sectional ti

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Komrokji, Rami S., Uwe Platzbecker, Pierre Fenaux, et al. "Efficacy and Safety of Luspatercept Treatment in Patients with Myelodysplastic Syndrome/Myeloproliferative Neoplasm with Ring Sideroblasts and Thrombocytosis (MDS/MPN-RS-T): A Retrospective Analysis from the Medalist Study." Blood 136, Supplement 1 (2020): 13–15. http://dx.doi.org/10.1182/blood-2020-137232.

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Introduction: Patients (pts) with MDS/MPN-RS-T have limited treatment options for anemia due to ineffective erythropoiesis. Luspatercept, the first-in-class erythroid maturation agent that enhances late-stage erythropoiesis, is approved by the FDA for treatment of anemia in adult pts with lower-risk (LR) MDS with ring sideroblasts (RS) or MDS/MPN-RS-T after erythroid-stimulating agent (ESA) failure. In the randomized, double-blind, phase 3 MEDALIST study, luspatercept significantly reduced transfusion burden vs placebo in pts with LR-MDS (NCT02631070; Fenaux P, et al. N Engl J Med 2020;382:140

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Dissertations / Theses on the topic "MHI/MEI"

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DHIMAN, ASHISH. "HUMAN ACTION RECOGNITION BASED ON R-TRANSFORM AND SPATIAL TEMPORAL DESCRIPTOR." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15480.

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This thesis presents the framework of the combination of motion and shape information produced by different actions for human action recognition. The motion information obtained from the Radon Transform, computed on the Binary Silhouettes obtained from video sequence. Radon Transform of an image gives the projection of lines in all directions therefore it gives information about pixels variation inside the shape. We use the properties of Radon transform i.e. invariance to scaling and translational, to make noise free and robust model and rotational variance to distinguish the different a

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Book chapters on the topic "MHI/MEI"

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Verma, Kamal Kant, and Brij Mohan Singh. "A Six-Stream CNN Fusion-Based Human Activity Recognition on RGBD Data." In Challenges and Applications for Hand Gesture Recognition. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-9434-6.ch007.

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RGBD-based activity recognition is quite an interesting task in computer vision. Inspired by the exemplary results obtained from automatic features learning from RGBD data, in this work a six-stream CNN fusion approach has been addressed, which is developed on 2D-convolution neural network (2DCNN) and spatial-temporal 3D-convolution neural networks (ST3DCNN). The proposed approach has six streams and runs in parallel, where the first and second streams are used to extract space and time features with the help of a ST3DCNN model. Similarly, the remaining four streams have been used to extract t

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