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FIGURE 3 in Four new tri-forked species of the Australian genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae) from the "dark obscura clade"
FIGURE 3. (a) Male (dorsal view)—Abantiades zonatriticum sp. nov. (Holotype, West. Aust. Wheatbelt, Koorda Caravan Park, Koorda, 30o48'18"S, 117o29", M+M Moore, 14th May 2017. Specimen No. 17174, leg taken for DNA analysis. SAMA No. 31-020305.) (b) Female (dorsal view)—Abantiades zonatriticum sp. nov. (West. Aust. Wheatbelt, Koorda Caravan Park, Koorda, 30o48'18"S, 117o29'12", M+M Moore, 14th May 2017. Specimen Nos. 17186 leg taken for DNA analysis. SAMA No. 31-020318.)
FIGURE 2 in Four new tri-forked species of the Australian genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae) from the "dark obscura clade"
FIGURE 2. (a) Male (dorsal view)—Abantiades kayi sp. nov. (Paratype, Nerren, Rest Area WA, 30-5-13, Light, P. Kay. Leg taken for DNA analysis (sample designation 18150, H172), SAMA No. 31-020456.) (b) Female (dorsal view)—Abantiades kayi sp. nov. (Paratype, W. Aust. Drummond Cove, Car. Pk., 28o39'14"S, 114o37'07"E, M&M Moore, 28th April 2015. (Spec. No.104), SAMA No. 31-020444.)
FIGURE 9 in Four new tri-forked species of the Australian genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae) from the "dark obscura clade"
FIGURE 9. Anterior view of male genitalia. (a) Abantiades kayi sp. nov. (Paratype, Wongan Hills Town, 13 May 2017, P.M. Heath, ID No(s) Per 17.571; 30o53'38.31"S, 116o43'5.33"E. Dissected M.D. Moore. Leg taken for DNA analysis, Spec. No. 18206, sample designation G30.). (b) Abantiades zonatriticum sp. nov. (Paratype, West Aust., Cunderdin, Light P. Kay, 25-5- 18 Specimen No 18148, Sample designation H170. Dissected M.D. Moore. SAMA Database, No. 31-020458.) (c) Abantiades obscura (Millstream. Pilbara W.A., 1-06-13, Light. P.Kay.) (d) Abantiades hutchinsoni sp. nov. (Paratype, 29.34oS 121.07oE, 25 km S of, Menzies W.A., 5 May 1984, E.S. Nielsen, E.D. Edwards. Leg taken for DNA analysis (Spec. No. 18139. Sample designation H 142.). Dissected M.D. Moore.) (e) Abantiades centralia sp. nov. (Paratype, 21st May 2016, 18 kms E of Jessie Gap, Hale, Alice Springs, Northern Territory, 23o44.252'S, 134o09.368', Coll. Glenn Beaver. Dissected M.D. Moore. Leg taken for DNA analysis—sample Ep. 022. SAMA No. 31-019763.). Abbreviations: am: anterior margin; Brt: basal rim of the pseudotegumen; Dav: distal-posterior arm of vinculum; Dipm: disto-posterior margin; Dopc: dorso-posterior corner; Dpl; distal lobe of the pseudotegumen; Dpm: dorso-posterior margin; Dpp: disto-posterior process; mml: medial margin of medial lobe; pm: posterior margin; Sac: Saccus; Sba: anterior margin of backward face of saccus; Sbf: backward face of saccus; Sbp: posterior margin of backward face of saccus; Scu: sacculus; Sfa: anterior margin of forward face of saccus; Sff: forward face of saccus; Sfp: posterior margin of forward face of saccus; Spm: posterior margin of saccus; Tpr: dorso-distal twin processes; Va: apodemal vinculum; Vl: valva; Vpa: ventral pseudoteguminal arm; Vpm: ventro-posterior margin.
FIGURE 5 in Four new tri-forked species of the Australian genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae) from the "dark obscura clade"
FIGURE 5. (a) Male (dorsal view)—Abantiades centralia sp. nov. (Holotype, 30th May 2016, Approx. 6 kms SE of Jessie Gap, Hale, Northern Territory, Australia, 26o46'17.6"S, 134o03'58.3"E, E.P. Beaver, SAMA No. 31-019764.) (b) Female (dorsal view)—Abantiades centralia sp. nov. (Paratype, 30th May 2016, Approx. 6 kms SE of Jessie Gap, Hale, Northern Territory, Australia, 26o46'17.6"S, 134o03'58.3"E, E.P. Beaver, SAMA No. 31-019764.)
FIGURE 12 in Four new tri-forked species of the Australian genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae) from the "dark obscura clade"
FIGURE 12. Habitat Images of Collection sites. (a) and (b) Abantiades centralia sp. nov. (c) and (d) Abantiades kayi sp. nov.
Addressing the Dark Matter Dilemma
<p>Data for Fig. 1, Fig. 2, and Fig. 3</p>
Dataset for the work "Non-Standard Neutrino Spectra From Annihilating Neutralino Dark Matter"
Open the record for dataset details and reuse information.
On following pages: 66. Tube-lipped Tailless Bat (Anoura fistulata); 67. Luis Manuel's Tailless Bat (Anoura luismanueli); 68. Peruvian Tailless Bat (Anoura javier); 69. Handley's Tailless Bat (Anoura cultrata); 70. Broad-toothed Tailless Bat (Anoura latidens); 71. Geoffroy's Tailless Bat (Anoura geoffroyi); 72. Tschudi's Tailless Bat (Anoura peruana); 73. Underwood's Long-tongued Bat (Hylonycteris underwood); 74. Godman''s Long-tailed Bat (Choeroniscus godmani), 75. Lesser Long-tailed Bat (Choeroniscus minor; 76. Greater Long-tailed Bat (Choeroniscus periosus); 77. Mexican Long-tongued Bat (Choeronycteris mexicana); 78. Capixaba Nectar-feeding Bat (Dryadonycteris capixaba); 79. Banana Bat (Musonycteris harrisoni); 80. Pale Brown Long-tongued Bat (Lichonycteris degener); 81. Dark Long-tongued Bat (Lichonycteris obscura); 82. Ega Long-tongued Bat (Scleronycteris egal). in Phyllostomidae
On following pages: 66. Tube-lipped Tailless Bat (Anoura fistulata); 67. Luis Manuel's Tailless Bat (Anoura luismanueli); 68. Peruvian Tailless Bat (Anoura javier); 69. Handley's Tailless Bat (Anoura cultrata); 70. Broad-toothed Tailless Bat (Anoura latidens); 71. Geoffroy's Tailless Bat (Anoura geoffroyi); 72. Tschudi's Tailless Bat (Anoura peruana); 73. Underwood's Long-tongued Bat (Hylonycteris underwood); 74. Godman''s Long-tailed Bat (Choeroniscus godmani), 75. Lesser Long-tailed Bat (Choeroniscus minor; 76. Greater Long-tailed Bat (Choeroniscus periosus); 77. Mexican Long-tongued Bat (Choeronycteris mexicana); 78. Capixaba Nectar-feeding Bat (Dryadonycteris capixaba); 79. Banana Bat (Musonycteris harrisoni); 80. Pale Brown Long-tongued Bat (Lichonycteris degener); 81. Dark Long-tongued Bat (Lichonycteris obscura); 82. Ega Long-tongued Bat (Scleronycteris egal).
On following pages: 3. Tailless Tenrec (Tenrec ecaudatus); 4. Lowland Streaked Tenrec (Hemicentetes semispinosus); 5. Highland Streaked Tenrec (Hemicentetes nigriceps); 6. Large-eared Tenrec (Geogale aurita); 7. Mole-like Rice Tenrec (Oryzorictes hova); 8. Four-toed Rice Tenrec (Oryzorictes tetradactylus); 9. Dobson's Shrew Tenrec (Nesogale dobsoni); 10. Talazac's Shrew Tenrec (Nesogale talazaci); 11. Montane Shrew Tenrec (Microgale monticola); 12. Dryad Shrew Tenrec (Microgale dryas); 13. Short-tailed Shrew Tenrec (Microgale brevicaudata); 14. Pygmy Shrew Tenrec (Microgale parvula); 15. Lesser Long-tailed Shrew Tenrec (Microgale longicaudata); 16. Drouhard's Shrew Tenrec (Microgale drouhardi); 17. Taiva Shrew Tenrec (Microgale taiva); 18. Pale Shrew Tenrec (Microgale fotsifotsy); 19. Greater Long-tailed Shrew Tenrec (Microgale principula); 20. Cowan's Shrew Tenrec (Microgale cowani); 21. Naked-nosed Shrew Tenrec (Microgale gymnorhyncha); 22. Shrew-toothed Shrew Tenrec (Microgale soricoides); 23. Major's Shrew Tenrec (Microgale majori); 24. Gracile Shrew Tenrec (Microgale gracilis); 25. Thomas's Shrew Tenrec (Microgale thomasi); 26. Grandidier's Shrew Tenrec (Microgale grandidieri); 27. Web-footed Tenrec (Microgale mergulus); 28. Least Shrew Tenrec (Microgale pusilla); 29. Dark Shrew Tenrec (Microgale jobihely); 30. Nasolo's Shrew Tenrec (Microgale nasolol); 31. Jenkins's Shrew Tenrec (Microgale jenkinsae). in Tenrecidae
On following pages: 3. Tailless Tenrec (Tenrec ecaudatus); 4. Lowland Streaked Tenrec (Hemicentetes semispinosus); 5. Highland Streaked Tenrec (Hemicentetes nigriceps); 6. Large-eared Tenrec (Geogale aurita); 7. Mole-like Rice Tenrec (Oryzorictes hova); 8. Four-toed Rice Tenrec (Oryzorictes tetradactylus); 9. Dobson's Shrew Tenrec (Nesogale dobsoni); 10. Talazac's Shrew Tenrec (Nesogale talazaci); 11. Montane Shrew Tenrec (Microgale monticola); 12. Dryad Shrew Tenrec (Microgale dryas); 13. Short-tailed Shrew Tenrec (Microgale brevicaudata); 14. Pygmy Shrew Tenrec (Microgale parvula); 15. Lesser Long-tailed Shrew Tenrec (Microgale longicaudata); 16. Drouhard's Shrew Tenrec (Microgale drouhardi); 17. Taiva Shrew Tenrec (Microgale taiva); 18. Pale Shrew Tenrec (Microgale fotsifotsy); 19. Greater Long-tailed Shrew Tenrec (Microgale principula); 20. Cowan's Shrew Tenrec (Microgale cowani); 21. Naked-nosed Shrew Tenrec (Microgale gymnorhyncha); 22. Shrew-toothed Shrew Tenrec (Microgale soricoides); 23. Major's Shrew Tenrec (Microgale majori); 24. Gracile Shrew Tenrec (Microgale gracilis); 25. Thomas's Shrew Tenrec (Microgale thomasi); 26. Grandidier's Shrew Tenrec (Microgale grandidieri); 27. Web-footed Tenrec (Microgale mergulus); 28. Least Shrew Tenrec (Microgale pusilla); 29. Dark Shrew Tenrec (Microgale jobihely); 30. Nasolo's Shrew Tenrec (Microgale nasolol); 31. Jenkins's Shrew Tenrec (Microgale jenkinsae).
In the darkness
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336685.1162.jpg">https://4dcity.org/imgupload/1665336685.1162.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52353624252_047eaa373a_m.jpg">https://live.staticflickr.com/65535/52353624252_047eaa373a_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336685.1162.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 13.60 KB<br><br>ExifOffset: 26
Water in the dark
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677514609.4251.jpg">https://4dcity.org/imgupload/1677514609.4251.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/4779/39819984485_8591c29afc_m.jpg">https://live.staticflickr.com/4779/39819984485_8591c29afc_m.jpg</a>
FIGURE 2 in Vampire in the darkness: a new genus and species of land leech exclusively bloodsucking cave-dwelling bats from China (Hirudinda: Arhynchobdellida: Haemadipsidae)
FIGURE 2. Comparison of reproductive gonopore locations between the three trignathous genera of Haemadipsidae sensu Borda & Siddall (2010), i.e., Haemadipsa (H. tianmushanensis) (A), Tritetrabdella (T. taiwana) [B (Nakano & Sung 2014)], and Sinospelaeobdella (S. wulingensis sp. n.) (C).
FIGURE 16 in Taxonomy and DNA barcoding of the dark-winged fungus gnat genus Zygoneura Meigen (Diptera: Sciaridae) from China, with revision of the type materials
FIGURE 16. Zygoneura (Zygoneura) sciarina Meigen. A: head, frontal view; B: fourth antennal flagellomere; C: apex of foretibia, prolateral view; D: hypopygium, ventral view; E: wing, dorsal view.
FIGURE 5 in Taxonomy and DNA barcoding of the dark-winged fungus gnat genus Zygoneura Meigen (Diptera: Sciaridae) from China, with revision of the type materials
FIGURE 5. Zygoneura (Pharetratula) disparilis Zhang & Wu. i: slide, front side; ii: slide, flip side; A: habitus, lateral view; B: hypopygium, ventral view; C: fourth antennal flagellomere.
Figure 4 in A dark shell hiding great variability: a molecular insight into the evolution and conservation of melanic Daphnia populations in the Alps
Figure 4. Unrooted haplotype networks of European Daphnia pulicaria haplotypes showing disconnections at the 97% parsimony threshold. Different patterns identify the main haplogroups considered in this study (see Fig. 1 for geographical distributions of haplogroups). Circles indicate distinct haplotypes (size proportional to the number of specimens sharing the same haplotype). Bold outlines indicate haplotypes found in our melanic alpine populations. The minimum number of mutational steps required to connect all haplotypes in a single network is also given (dashed double-arrowed lines). Alpine haplotypes are coded as in Fig. 3. Black dots indicate missing (unsampled/extinct) haplotypes.
Database of average values of parameters of sire rams of Latvian dark-head breed calculated from values of intensive fattening lambs within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>.”</p> <p><strong>The aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent Feed efficiency status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two largest components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal's ability to reach a market or adult body weight (BW) with the least amount of feed intake), is a key factor in the sheep industry. Improving Feed efficiency reduces production costs. Improving Feed efficiency by 5% can bring economic benefits that are up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program, as well as according to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyze animal-to-animal variation in live lambs could be used as a cost-effective and rapid tool for genetic selection or management decisions.</p> <p>As of 2018, there were 49.5 thousand ewes and 73 sire rams in Latvia from a flock of 134.29K sheep. In 2018, Latvian Dark-Head (Latvijas tumšgalve; LT) sheep were bred to implement the sheep breeding program in 35 farms, which had a total of 3,752 ewes, while 13 farms had 43 breeding rams. According to the EUROSTAT data, the number of sheep in Latvia in 2018 was 107.29K, but in December 2021 was 90.34K.</p> <p>The Latvian Dark-Head sheep breed was created by crossing local Latvian sheep with Shropshire and Oxfordshire rams imported from Sweden and England. The first pedigree or breeder's book for LT rams was issued in 1939. Currently, the live weight of ewes of the Latvian Dark-Head breed is about 55 – 65 kg, rams - 95 – 120 kg, wool cut 3.5 – 4.5 and 5.0 – 6.0 kg, respectively. The average prolificacy of ewes is 150 - 160%.</p> <p>Breeding of Latvian Dark-Head sheep in Latvia is carried out according to phenotypic and bloodline data, without information about values of feed efficiency indicators or carrying out genetic breeding. Therefore, this study aimed to analyze the Latvian Dark-Head breeds rams according to lambs' feed efficiency values.</p> <p><strong>About the data of the project:</strong></p> <p>LZP-2021/1-0489 project data on Latvian dark-head (LT; Latvijas tumšgalve) of the year 2022 lamb samples, or A22_LT group. In the group were 48 lambs from 13 sire rams.</p> <p>Based on the requirements of the breeding program of the breeds, every year, the offspring of the sire ram, certified for breeding activity, are selected and analyzed to estimate the sire rams. All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed prior to inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with Latvian Sheep Breeders' Association at the ram breeding control station.</p> <p>The dataset includes average data of each sire ram: (1) ultrasonography measurements of lambs during the beginning and end of fattening, (2) intensive fattening data - real and calculated on the 90th and 150th day, (3) the amount of feed used, (4) slaughter data, (5) biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, Glucose, (6) feed efficiency indicators: Feed efficiency (FE), Feed conversion ratio (FCR), Relative growth rate (RGR), Kleiber’s ratio (KR), Residual feed intake (RFI), Residual weight gain (RWG) and Residual intake and body weight gain (RIG).</p> <p> </p> <p>The data is the joint property of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Lantern from alone in the dark
a recration of the lantern from the classic dos game Source: Objaverse 1.0 / Sketchfab
Figure 4 in What are you doing here? Investigating on an unexpected association in Mediterranean dark caves sheds light on the diet of Marionia blainvillea (Mollusca, Gastropoda, Nudibranchia)
Figure 4. Updated distribution of Cervera atlantica in Mediterranean. Yellow dots: records of C. atlantica from literature; red star: present paper.
Figure 1 in What are you doing here? Investigating on an unexpected association in Mediterranean dark caves sheds light on the diet of Marionia blainvillea (Mollusca, Gastropoda, Nudibranchia)
Figure 1. Geographical framework. On the left: top, the San Pietro Island; bottom, the Capo Palinuro Peninsula. Red stars indicate the locations of the caves.
Efficacy of Dark Chocolate in Achalasia Patients
ClinicalTrials.gov study NCT00790465. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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