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Brief Bioinform
November 2024
School of Electrical and Information Engineering, Zhengzhou University, No. 100, Science Avenue, Hightech District, Zhengzhou City 450001, Henan Province, China.
Structural network control principles provided novel and efficient clues for the optimization of personalized drug targets (PDTs) related to state transitions of individual patients. However, most existing methods focus on one subnetwork or module as drug targets through the identification of the minimal set of driver nodes and ignore the state transition capabilities of other modules with different configurations of drug targets [i.e.
View Article and Find Full Text PDFNeurol Educ
December 2024
From the Warren Alpert Medical School of Brown University (K.A.S.), Providence, RI; Memorial Sloan Kettering Cancer Center (A.M.M.), New York, NY; Department of Neurology (J.J.M.), Yale School of Medicine, New Haven, CT; Wake Forest University School of Medicine (K.W., S.-E.G., R.E.S.), Winston-Salem, NC; American Academy of Neurology (X.S., L.S., R.R., M.M., T.D.), Minneapolis, MN; and University of Michigan School of Medicine (Z.L.), Ann Arbor, MI.
Background And Objectives: Microlearning is the acquisition of knowledge or skills in small units, commonly delivered by digital technology. NeuroBytes (NB) and Question of the Day (QOD) are 2 microinstructional programs in neurology. NB programs are brief, video-based mini-courses on clinical topics (microteaching); QODs are daily multiple-choice questions (microassessment).
View Article and Find Full Text PDFMethodsX
June 2025
Environmental Science and Engineering Program, The University of Texas at El Paso, El Paso, TX 79968, USA.
We describe an agent-based model purposed for social learning, which was developed by stakeholders, with the technical assistance of professional modelers, to facilitate stakeholder involvement in modeling issues related to the development of an adaptive environmental management plan for the Texas Gulf Coast (USA) estuaries. Stakeholders developed the model during six workshops that spanned a three-year period, and used the model to simulate the population dynamics (recruitment, growth, movement, and mortality) of blue crabs () in the Aransas and Copano Bays in response to various freshwater inflow and harvest scenarios. Results of scenarios representing normal, low, and high harvest levels indicated little effect on blue crab abundances, but harvests increased ≈75 % when harvest level was doubled and decreased ≈50 % harvest level was halved.
View Article and Find Full Text PDFData Brief
February 2025
Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, División de Estudios de Posgrado e Investigación, Juan de Dios Batíz 310. Col. Guadalupe, 80220 Culiacán, Sinaloa, Mexico.
A dataset of aerial photographs acquired with an Unmanned Aerial Vehicle (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato ( var. ) crop in Navolato, Mexico. Seven photogrammetric flights were carried out to assess the plant growth using a Mapir Survey 3W multispectral camera.
View Article and Find Full Text PDFMalar J
January 2025
Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Background: Low malaria parasitaemia is a diagnostic challenge in pregnancy, leading to false negative microscopy and rapid diagnostic test (RDT) results. However, these submicroscopic or subpatent infections could cause adverse pregnancy outcomes. Thus, evaluating the diagnostic performance of microscopy, RDT, and multiplex qPCR in pregnancy is vital for informed decisions.
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