Tooth replacement of the filter-feeding pterosaur Forfexopterus and its implications for ecological adaptation by CHANG-FU ZHOU, FENGMIN FAN

“…However, little is known about their tooth replacement pattern, hindering our understanding of the development of the filter-feeding apparatus of the clade. …”
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Magnitude and Factors Associated With Risky Sexual Behaviours among Undergraduate Students in Selected Universities in Kigezi Sub Region by Amon, Bahati

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FLUID-SENSITIVE SEQUENCES MODIFY THE MODIC CLASSIFICATION IN MRI by Eduardo Deroide do Nascimento, Marcelo Novelino Simão, Marcello Henrique Nogueira-Barbosa

“…There was no significant difference in the detection of the adipose replacement pattern (Modic II) between the two techniques. …”
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Interactions between natural populations of human and rodent schistosomes in the Lake Victoria region of Kenya: a molecular epidemiological approach. by Michelle L Steinauer, Ibrahim N Mwangi, Geoffrey M Maina, Joseph M Kinuthia, Martin W Mutuku, Eric L Agola, Ben Mungai, Gerald M Mkoji, Eric S Loker

“…Over time, half of snails infected with multiple genotypes showed a replacement pattern in which an initially dominant genotype was less represented in later replicates. …”
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Un modelo de sucesión-regeneración de los páramos después de quemas by Vargas Ríos Orlando

“…The model of species life histories was used to form groups with similar vital attributes (discussed by Noble & Slatyer 1980), and lo establish species replacement patterns that, in conjuntion with the mechanisms of regeneration-succession, constitute a conceptual model explaining the most important causal factors that determine succession in ecosystems disturbed by fire such as Andean paramos.…”
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United Prediction of Travel Modes and Purposes in Travel Chains Based on Multitask Learning Deep Neural Networks by Chenxi Xiao, Zhitao Li, Jinjun Tang, Jeanyoung Jay Lee

“…The results show that the MTLDNN demonstrates consistent input variable replacement modes and selection probabilities in generating behavioral replacement patterns. Compared to the multinomial logit model (MNL), the MTLDNN achieves lower cross-entropy loss and higher prediction accuracy. …”
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