Search Results - Mathematics Learning.

Multi-agent models based on mathematical programming for teaching extension and collaborative learning by Berger, T., Schilling, C., Schreiner, P., Arnold, T.

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Changes in anemia and anthropometry during adolescence predict learning outcomes: Findings from a 3-year longitudinal study in India by Nguyen, Phuong Hong, Walia, Monika, Pant, Anjali, Menon, Purnima, Scott, Samuel P.

Subjects: “…mathematics…”
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Irrigation scheduling using complex machine scheduling by Vries, T.T. de, Anwar, Arif A.

Subjects: “…mathematical models…”
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Nonlinear projection methods for visualizing Barcode data and application on two data sets by Olteanu, M, Nicolas, V, Schaeffer, B, Denys, C, Missoup, A-D, Kennis, Jan, Larédo, C.

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Assessing Sirex noctilio Fabricius (Hymenoptera: Siricidae) Damage in Pine Plantations Using Remote Sensing and Predictive Machine Learning Models by Hirigoyen, Andrés, Villacide, Jose Maria

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E-learning: Count on cell phones by Vanska, Riitta, Roberts, Nicky

“…A project in South Africa supports mathematics education in schools using the web, social networking and mobile apps to deliver learning material directly to students' cell phones. …”
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Predicting Risk of Ammonia Exposure in Broiler Housing: Correlation with Incidence of Health Issues by Barbosa, Leonardo V. S., da-Silva-Lima, Nilsa D., Granja-Barrios, Juliana-de-Souza, de-Moura, Daniella J., Estellés, Fernando, Ramón-Moragues, Adrián, Calvet-Sanz, Salvador, Villagrá, Arantxa

Subjects: “…U10 Mathematical and statistical methods…”
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Impacts of an early education intervention on students' learning achievement: Evidence from the Philippines by Yamauchi, Futoshi, Liu, Yanyan

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Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties by Delgadillo Durana, Diego A., Vargas García, Cesar A., Varón Ramíreza, Viviana M., Calderón, Francisco C., Montenegroa, Andrea C., Reyes Herreraa, Paula H.

“…Current approaches use mathematical and statistical techniques, avoiding machine learning frameworks. …”
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What can we learn from the ecophysiology of plants inhabiting extreme environments? From ‘sherplants’ to ‘shercrops’ by Flexas, Jaume, Fernie, Alisdair R., Usadel, Björn, Alonso-Forn, David, Ardiles, Victor, Ball, Marilyn C., Ballesteros, Daniel, Bravo, Leon, Brodribb, Tim J., Carriquí, Marc, Ergo, Veronica Vanesa, Gago, Jorge

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Multimodal data integration to model, predict, and understand changes in plant biodiversity : a systematic review by Martinez, Emilce Soledad, Tejada-Gutiérrez, Eva, Sorribas, Albert, Mateo-Fornes, Jordi, Solsona, Francesc, Defacio, Raquel Alicia, Alves, Rui

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Detecting abandoned citrus crops using Sentinel-2 time series. A case study in the Comunitat Valenciana region (Spain) by Morell-Monzó, serg, Sebastiá-Frasquet, María T., Estornell, Javier, Moltó, Enrique

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Gender differences in perception of artificial intelligence-based tools by Ofosu-ampong, Kingsley

“…Participation of girls in Science, Technology, Engineering, and Mathematics (STEM) subjects at the higher education (HE) level continues to lag behind that of boys and consequently may affect artificial intelligence proliferation in Ghana. …”
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Natur och Informationsteknologi – en lärande kombination? by Sjunner, Caroline

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Workshop on effective searching of online information resources by Hansen, H.H.

“…Then it examines comprehensive scientific reference databases - knowing the shops and payment methods; the art and science of searching - Boolean mathematics; databases/shops; database searching; finding all names for a term (synonyms); the necessity of words; learn truncation; field limitation - using limiters to concentrate the search- title and keywords; how to use (and re-use) the literature list; reference management; and RefWorks steps for reference management. …”
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Rekreation och utomhuspedagogik i tätortsnära skog : planering av skolskog och rekreationsanalys för Sätra, en stadsdel i Gävle by Olsson, Olof

“…The project also aimed to show and find suitable activities for learning and playing in the forests, from information obtained in the interviews and the literature. …”

Semi-parametric generalized estimating equations for repeated measurements in cross-over designs by Cruz, N. A., Melo, O.O., Martinez, C.A.

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Statistical analysis for plant genetic resources: Clustering and indices in R made simple by Grum, M., Atieno, F.

“…Another of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. On the down side, if you are used to pointand-click interfaces, you may find that R has a relatively steep learning curve. …”
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High value crop products and rural prosperity: The role of operations research and analytics by Cock, James H, Jimenez, Daniel R

“…Thus, the integration of operations research and advanced analytics, including data acquisition, machine learning, and artificial intelligence, in optimizing the cultivation and marketing of HVCPs. …”
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Barriers to convert to organic farming and the role of risk : an empirical application on Swedish data by Sterte, Åsa

“…This is carried out through performing Excel based and mathematical programming analyses, using data that describe a typical organic crop farm and a conventional crop farm in southern Sweden. …”