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Relevant bibliographies by topics / Indice de Priorité

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Journal articles

Academic literature on the topic 'Indice de Priorité'

Author: Grafiati

Published: 23 November 2024

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Journal articles on the topic "Indice de Priorité"

1

Gomis, Daniel, Agnès Daba Thiaw Benga, Babacar Faye, Aliou Guisse, and Aminata Ndiaye. "Caractérisation du peuplement ligneux des zones de culture dans l’Arrondissement de Djilor (Fatick, Sénégal)." International Journal of Biological and Chemical Sciences 16, no. 2 (2022): 824–41. http://dx.doi.org/10.4314/ijbcs.v16i2.25.

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L’amélioration durable des rendements agricoles est devenue une priorité face à l’accentuation de la pauvreté en matière organique des sols et des risques et limites des fertilisants chimiques. Dans ce contexte, la conservation des arbres et arbustes des champs a connu un regain d’intérêt. C’est dans cette optique que cette étude visait à contribuer à une meilleure connaissance des caractéristiques de leur peuplement dans l’Arrondissement de Djilor. Pour y parvenir, des données ont été collectées dans des placettes carrées de 1600 m² (40 m x 40 m) installées de manière aléatoire dans les champ

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2

PIEL, S., J. PEROT, C. RODIQ, and F. NAULEAU. "Modélisation cinétique de l’évolution des trihalométhanes à partir de l’absorbance UV 254 nm après chloration sur un réseau d’eau potable." Techniques Sciences Méthodes, no. 4 (April 20, 2020): 21–30. http://dx.doi.org/10.36904/tsm/202004021.

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La formation des trihalométhanes (THM) est associée à la réaction du chlore avec la matière organique résiduelle contenue dans les eaux traitées avant distribution. Elle se poursuit dans le temps sur le réseau de distribution jusqu’au robinet du consommateur. Le respect de la norme des 100 μg/L sur les points les plus éloignés peut être critique sur des unités de production où la matière organique résiduelle en fin de traitement peut se montrer très réactive, en lien à sa composition et à des facteurs aggravants comme la température, le temps de séjour hydraulique et la présence de bromures. D

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3

Zaikova, Zoya A., A. V. Burdukovskaya, and A. I. Belykh. "Determination of priority unfavorable environmental factors." Hygiene and sanitation 95, no. 12 (2019): 1205–9. http://dx.doi.org/10.18821/0016-9900-2016-95-12-1205-1209.

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In the Irkutsk region there are recorded high indices of rates of morbidity, disability, mortality rate of the working-age population and low levels of life expectancy of the population, that is confirmed by ranking position levels among the all subjects of the Russian Federation. According to all mentioned indices of health the region is inside the top ten unfavorable regions of Russia. In relation to the problem in the state of health of the adult population the estimation of the causal relationships between environmental factors and certain health indices is actual. The list of studiedfacto

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4

Salihu, Hamisu M., Abraham A. Salinas-Miranda, Arnut Paothong, Wei Wang, and Lindsey M. King. "Community-Based Decision Making and Priority Setting Using the R Software: The Community Priority Index." Computational and Mathematical Methods in Medicine 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/347501.

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This paper outlines how to compute community priority indices in the context of multicriteria decision making in community settings. A simple R function was developed and validated with community needs assessment data. Particularly, the first part of this paper briefly overviews the existing methods for priority setting and reviews the utility of a multicriteria decision-making approach for community-based prioritization. The second part illustrates how community priority indices can be calculated using the freely available R program to handle community data by showing the computational and ma

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5

Jacobson, Alex. "A critical view of treatment priority indices in orthodontics." American Journal of Orthodontics and Dentofacial Orthopedics 124, no. 3 (2003): 344–45. http://dx.doi.org/10.1016/s0889-5406(03)00535-3.

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6

Niño-Mora, José. "Dynamic priority allocation via restless bandit marginal productivity indices." TOP 15, no. 2 (2007): 161–98. http://dx.doi.org/10.1007/s11750-007-0025-0.

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7

Cavallo, Bice. "Computing random consistency indices and assessing priority vectors reliability." Information Sciences 420 (December 2017): 532–42. http://dx.doi.org/10.1016/j.ins.2017.08.082.

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8

M N, Pushpalatha, Mrunalini M, and Sulav Raj Bista. "PREDICTING THE PRIORITY OF BUG REPORTS USING CLASSIFICATION ALGORITHMS." Indian Journal of Computer Science and Engineering 11, no. 6 (2020): 811–18. http://dx.doi.org/10.21817/indjcse/2020/v11i6/201106076.

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9

Li, Y., G. Hui, H. Wang, G. Zhang, and S. Ye. "Selection priority for harvested trees according to stand structural indices." iForest - Biogeosciences and Forestry 10, no. 3 (2017): 561–66. http://dx.doi.org/10.3832/ifor2115-010.

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10

Rothblum, Uriel G., and Michael H. Rothkopf. "Dynamic Recomputation Cannot Extend the Optimality-Range of Priority Indices." Operations Research 42, no. 4 (1994): 669–76. http://dx.doi.org/10.1287/opre.42.4.669.

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