Eurasian lynx and Pallas’s cat in Dolpa district of Nepal: genetics, distribution and diet by Werhahn, G, Kusi, N, Karmacharya, D, Man Sherchan, A, Manandhar, P, Manandhar, S, Bhatta, T, Joshi, J, Bhattarai, S, Sharma, A, Kaden, J, Ghazali, M, Senn, H

“…The Eurasian lynx Lynx lynx and the Pallas’s cat Otocolobus manul are elusive felids which are little studied in the Himalayas of Nepal where they seem to occur at low densities. …”

Optical Identification of the ASCA Lynx Deep Survey: An Association of QSOs and a Supercluster at z=1.3? by Ohta, K, Akiyama, M, Ueda, Y, Yamada, T, Nakanishi, K, Dalton, G, Ogasaka, Y, Kii, T, Hayashida, K

“…Results of optical identification of the ASCA Lynx deep survey are presented. Six X-ray sources are detected in the 2-7 keV band using the SIS in a 20'x20' field of view with fluxes larger than ~4x10^{-14} erg s-1 cm-2 in the band. …”

Optical identification of the ASCA Lynx Deep Survey: An association of quasi-stellar objects and a supercluster at z = 1.3? by Ohta, K, Akiyama, M, Ueda, Y, Yamada, T, Nakanishi, K, Dalton, G, Ogasaka, Y, Kii, T, Hayashida, K

“…Results of optical identification of the ASCA Lynx Deep Survey are presented. Six X-ray sources are detected in the 2-7 keV band using the Solid-State Imaging Spectrometer in a ∼20′ × 20′ field of view with fluxes larger than ∼4 × 10-14 ergs s -1 cm-2 in the band. …”

Characterization of the commercially-available fluorescent chloroquine-BODIPY conjugate, LynxTag-CQGREEN, as a marker for chloroquine resistance and uptake in a 96-well plate assay by Loh, C, Suwanarusk, R, Lee, Y, Chan, K, Choy, K, Rénia, L, Russell, B, Lear, M, Nosten, F, Tan, K, Chow, L

“…We report here a commercially-available green fluorescent chloroquine-BODIPY conjugate, LynxTag-CQGREEN, as a proxy for chloroquine accumulation. …”

Successful deer management in Scotland requires less conflict not more by Kirkland, H, Hare, D, Daniels, M, Krofel, M, Rao, S, Chapman, T, Blossey, B

“…Reintroducing Eurasian lynx (Lynx lynx) has been suggested as a means to reduce deer numbers and their negative ecological and socioeconomic impacts. …”

Mitigating carnivore-livestock conflict in Europe: lessons from Slovakia by Rigg, R, Findo, S, Wechselberger, M, Gorman, M, Sillero-Zubiri, C, Macdonald, D

“…Grey wolves Canis lupus were held responsible for four to six times more damage than brown bears Ursus arctos, although livestock occurred in only 2 of 78 wolf faeces during spring-autumn, when sheep and cattle were most vulnerable. Losses to Eurasian lynx Lynx lynx were negligible. Compared to other sectors of society shepherds had the most negative attitudes, particularly towards wolves, despite compensation payments. …”

Physics of cosmic plasmas from high angular resolution X-ray imaging of galaxy clusters by Markevitch, M, Bulbul, E, Churazov, E, Giacintucci, S, Kraft, R, Kunz, M, Nagai, D, Roediger, E, Ruszkowski, M, Schekochihin, A, Weeren, RV, Vikhlinin, A, Walker, SA, Wang, QHS, Werner, N, Wik, D, Zhuravleva, I, Zuhone, J

“…In this white paper, we discuss why we need arcsecond-resolution, high collecting area, low relative background X-ray imagers (with modest spectral resolution), such as the proposed AXIS and the imaging detector of Lynx.…”

Analysis of the rat hypothalamus proteome by data-independent label-free LC-MS/MS. by Stelzhammer, V, Amess, B, Martins-de-Souza, D, Levin, Y, Ozanne, SE, Martin-Gronert, MS, Urday, S, Bahn, S, Guest, P

“…Peptide features were detected, aligned, and searched against a rat Swiss-Prot database using ProteinLynx Global Server v.2.5. The final combined dataset comprised 21 455 peptides, corresponding to 622 unique proteins, each identified by a minimum of two distinct peptides. …”

Neural ordinary differential equations for ecological and evolutionary time‐series analysis by Bonnaffé, W, Sheldon, BC, Coulson, T

“…We tested NODEs by analysing well-understood hare and lynx time-series data, which revealed that prey–predator oscillations were mainly driven by the interspecific interaction, as well as intraspecific densitydependence, and characterised by a single equilibrium point at the centre of the oscillation. …”

Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time‐series data by Bonnaffee, W, Coulson, T

“…We also infer interactions in experimentally replicated time series of a microcosm featuring an algae, flagellate and rotifer population, in the hare and lynx system, and the Maizuru Bay community featuring 11 species.…”