Viceroy butterfly Limenitis archippus (Cramer) (Lepidoptera: Nymphalidae: Limenitidinae) by Andrei Sourakov

“…It describes this black butterfly with white vertical stripes, which is similar to, but smaller than, the monarch butterfly — its synonymy, distribution, description, life cycle, hosts, and economic importance. …”
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Are Consumers Interested in Ornamental Plants That Benefit Pollinator Insects? by Hayk Khachatryan, Alicia Rihn

“… Population declines among bees, butterflies, and other pollinator insects are very worrying because 70% of the world’s food crop production depends upon these tiny insect workers. …”
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Cassius blue, tropical striped blue Leptotes cassius (Cramer) (Instecta: Lepidoptera: Lycaenidae: Polyommatinae) by Donald W. Hall, Jerry F. Butler

“…EENY460/IN829: Cassius Blue, Tropical Striped Blue Leptotes cassius (Cramer) (Instecta: Lepidoptera: Lycaenidae: Polyommatinae) (ufl.edu) …”
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Zebra Longwing, Heliconius charitonia (Linnaeus) (Insecta: Lepidoptera: Nymphalidae) by Jaret C. Daniels

“…It describes this neotropical butterfly with elongated wings and bold yellow stripes that is the state butterfly of Florida — it’s distribution, description, life cycle, and hosts. …”
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Diagnosing emergent isotropy in anisotropic holographic systems using quantum information measures by Chong-Ye Chen, Mu-Jing Li, Zhe Yang, Da-Ming Jin, Peng Liu

“…Our findings provide a novel perspective on the interplay between unique emergent isotropic point and quantum information measures in strongly correlated systems.…”
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Giant Swallowtail, Orangedog, Papilio cresphontes Cramer (Insecta: Lepidoptera: Papilionidae) by Heather J. McAuslane

“…McAuslane, is part of the Featured Creatures collection. It describes this striking, wonderfully “exotic”-looking butterfly that is very abundant in Florida, and whose larva is the well-known “orangedog” that is a minor pest of sweet orange and other members of the citrus family — its distribution, description, life cycle, host plants, biological control and other control methods. …”
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Intelligent fault diagnosis method for rolling bearings based on flexible residual neural network by Chuang CHEN, Xianfeng LI, Jiantao SHI, Dongdong YUE

“…In challenging environments with a signal-to-noise ratio of –6 dB, the proposed model achieves a fault diagnosis accuracy of 97.18%, proving its strong noise resistance. Under different load conditions of 0.75 kW, 1.5 kW, and 2.25 kW the proposed model maintains an average accuracy of 98.2% in environments with a −4 dB signal-to-noise ratio. …”
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