The cave-dwelling psocid tribe Sensitibillini (Afrotrogla, Neotrogla and Sensitibilla) is of special morphological and evolutionary interest because of its possession of reversed copulatory organs: i....

The cave-dwelling psocid tribe Sensitibillini (Afrotrogla, Neotrogla and Sensitibilla) is of special morphological and evolutionary interest because of its possession of reversed copulatory organs: i....

Belongs within: Psocinae. Mecampsis is a genus of psocid barklice found in Asia and South America that has veins Rs and M in the fore wing joined by a cross-vein (Li 2002). Characters (Li 2002): Long wings; medium-sized, body-wing length 4–7 mm. Length of distal segment of maxillary palp more than three times width; antennae shorter than fore… Continue reading Mecampsis

An absolutely charming tiny Psocid at the visitors center. You may carry on. OPERA, Otago Peninsula, Aotearoa New Zealand

A parasite case of the week blog, specializing in human parasites.

**Authors:** Jing-Yuan Wei We reinterpret NP witness discovery through an information-theoretic lens. Rather than measuring search solely by Turing-machine time, we treat recovery as an information-acquisition process: the hidden witness is the sole source of uncertainty, and identification requires reducing this uncertainty through a rate-limited access interface in the sense of Shannon. To make this perspective explicit, we analyze an extreme regime, the \emph{psocid model}, in which the witness is accessible only via equality probes $[π= w^\star]$ under a uniform, structureless prior. Each probe reveals at most $O(N/2^N)$ bits of mutual information, so polynomially many probes accumulate only $o(1)$ total information. By Fano's inequality, reliable recovery requires $Ω(N)$ bits, creating a fundamental mismatch between required and obtainable information. The psocid setting thus isolates a fully symmetric search regime in which no intermediate computation yields global eliminative leverage, thereby exposing an informational origin of exponential search complexity.