Prey 1.02 Patch Download !!LINK!!
CLICK HERE === https://geags.com/2tfjok
Arkane Studios has released Prey update 1.02 for PlayStation 4 and Xbox One. According to the changelog, this patch fixes corrupted game saves, adjusts the controls to improve input lag, and more. Check out more details below.
The release also includes a major patch that contains a plethora of bug-fixes and improvements and you will be able to download it right away. You can read more about Parque Fernando on our Steam Store page, or find the full Parque Fernando content summary and the patch notes below:
I often had problems with a Lexar Professional 32GB UHS-II 2000x, mostly during replay. Much more often when my Lexar XQD 64GB card was not in the camera, and mostly during replay.Updated the camera to firmware patch C 1.02, and the memory errors was clearly less frequent or absent. However last night I missed a lot of good pictures of an eagle diving and catching a prey. Saw a \"Card M.Error\" or similar, turned camera off, removed and reinserted SD card and turned camera on. Now able to shoot when the eagle flew away. Rather frustrating that there seems not to be a real and final solution to this problem. Have now bought a similar SanDisk 32GB SD card, but from reading others experience, I do not feel completely confident that this will solve the problem. But have the impression that the problems are mostly experienced with Lexar SD cards in the D500. Am I correct in this
new Firmware patch C 1.02 does not resolve my card issue !!Bought D500, with new SanDisk UHS-II Extreme Pro 32 GB (280MB/s). Don't have a XQD card yet. Shows about 1 in 10 photo's taken. Works with older SanDisk Extreme (95 MB/s). Applied C 1.02 patch - was able to view some extra 'hidden' photo's from before, but not all. first 2 photos taken worked fine - but since nothing but trouble. Emptied card via laptop - saw photo numbering sequence was missing several numbers - so cant \"only be a read issue\" - clearly affects write cycle. Then Format kind of worked, took like 10 photos in a row - seemed resolved. This morning took 10 high speed photo's - again Card Error. Several D500 specs made me try 'one last time' . Getting seriously fed up with time spend solving tech issues. Once Fuji solves its XT1 viewfinder lag - kicking all my Nikons out. Life's too short.
As no single model was clearly parsimonious, model averaging was conducted for chase duration, handling duration and profitability analysis. For chase duration, the majority of candidate models included prey density and association, indicating that these factors are the most important to explain chase time (Table 4; Table S4). For foraging association, multi-species (presence of both conspecifics and marine mammals) was found to increase chase duration [95%CI (0.02, 1.02)]. The other factor influencing chase duration was the prey density, with a higher prey density increasing the chase duration [95%CI (0.06, 0.10)] (Table S5).
Prey in the marine environment has an unpredictable and patchy distribution in both space and time, and studying the foraging behaviour of animals can assist in the understanding of how predators cope with this environmental variability (Thayer and Sydeman, 2007; Trathan et al., 2007). Previous research has suggested that individuals maximize their energy intake per time unit (Krebs et al., 1978) by reducing prey handling time and/or reducing search time (MacArthur and Pianka, 1966). While search time in foraging seabirds has been studied extensively (Garthe et al., 2014; Patrick et al., 2014; Weimerskirch et al., 1997), little is known about the factors influencing capture success and prey profitability. The use of bird-borne cameras in the present study enabled the factors influencing capture success, chase and handling time and prey profitability to be investigated. The results highlighted that multi-species foraging associations increase chase duration and decrease capture success and profitability. Prey density increases chase and handling duration and consequently decreases profitability. Prey type was of influence on both handling duration and profitability.
The downloaded video data were manually analysed frame-by-frame using a classification software program (Solomon Coder, version: beta 17.03.22; Péter, 2011). Information categorised included: behavioural state; foraging activity; presence of conspecifics and heterospecifics; conspecific and heterospecific abundance; prey type; prey density and capture success. The behavioural state category consisted of flapping, gliding, resting on the sea surface, plunge diving, pursuit diving, at sea preening and at colony (Fig. S1). Foraging activity contained chase time and handling time (Fig. S2). Chase time was categorised as starting as soon as the bird entered the water and stopped at the moment of prey capture or when the bird gave up the chase and started returning to the surface.
Atlantic walrus and bivalve prey. Young Sound, Northeast Greenland 2001. (Photo by Göran Ehlmé and Søren Rysgaard). I: Walrus feeding patch on the sea bottom. Young Sound, Northeast Greenland 2001. II: Sea bottom and diver collecting empty bivalve shells from walrus feeding patch. Young Sound, Northeast Greenland 2001. III: Newly eaten bivalves from one feeding patch, with remains of soft parts. Daneborg, Northeast Greenland 2001.
Additional File 2: Walrus using its vibrissae to detect prey. Young Sound, NortheastGreenland 2001. (Filmed by Göran Ehlmé). The movie clip of feeding walruses has been zipped in order to reduce the size and hereby making it more suitable for readers to download when viewing. Suggestion of different software to use for viewing the clips: Windows Media player, Real Player or QuickTime player. (ZIP 7 MB) 153554b96e