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196 results for “Tor”
FIGURES 53–59. Tortopsis limoncocha. 53 in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURES 53–59. Tortopsis limoncocha. 53, male head, v.v.; 54, male mesofurcasternal plate; 55, female abdominal sternum VIII, l.v.; 56, same, v.v.; 57, male genitalia, v.v.; 58, same, l.v.; 59, detail of apex of penes.
FIGURES 24–30. Tortopus zottai, male paratype. 24 in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURES 24–30. Tortopus zottai, male paratype. 24, genitalia, v.v. (f1 and f2 = forceps segment 1 and 2, k = knob, mf = median furrow, pe = penes, sIX = ninth abdominal sternum); 25, mesofurcasternal plates (fsi = furcasternal impression, fsp = furcasternal plates); 26–27, details of apex of penes; 28, detail of pedestal and base of forceps, v.v.; 29, pedestal; 30, pedestal and forceps (pd = pedestal, ps = parastilus).
FIGURES 19–23 in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURES 19–23. Tortopus harrisi, male holotype: 19, genitalia, v.v. (pa = penial arm); 20–21, details of apex of penes; 22, detail of pedestal and base of forceps, v.v. (k = knob, pd = pedestal, ps = parastylus); 23, female sternum VIII.
FIGURES 10–13 in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURES 10–13. Tortopus bellus: 10, male genitalia, v.v.; 11, details of apex of penes; 12, detail of pedestal, v.v.; 13, sockets on female abdominal sternum VIII.
FIGURES 14–18. Tortopus circumfluus, female holotype. 14 in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURES 14–18. Tortopus circumfluus, female holotype. 14, fore wing; 15, hind wing (scheme); 16, hind wing, enlarged; 17, abdominal sternum VIII; 18, mesofurcasternal plates.
FIGURE 1. A in A cladistic revision of Tor top us Needham & Murphy with description of the new genus Tortopsis (Ephemeroptera: Polymitarcyidae)
FIGURE 1. A, strict consensus of 234 shortest trees obtained with the complete data set (58 steps, Ci=81, Ri=93); B, strict consensus of 3 shortest trees obtained with the reduced data set (58 steps, Ci=81, Ri=92). Values near nodes indicate group support (frequency difference/ absolute Bremer Support/ relative BS). Black circles indicate unique apomorphies, white circles indicate parallelism or reversal, the small numbers above and below these marks are character and state numbers respectively.
Fig. 6 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 6. The morphology of the neurocranii bone seen from the posterior view. A: T. tambroides; B: T. tambra; C: T. douronensis; and D: T. soro. BO: basioccipital bone; EPO: epotic bone; EXO: exoccipital bone; FM: magnum foramen bone; FOL: lateral occipital foramen bone; PPTR: pterotic processus bone; PTR: pterotic bone; SOC: supraoccipital bone. Scale bar: 0.5 cm.
Fig. 8 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 8. Morphology of the mandibular arch (suspensory) and the opercular apparatus seen from the lateral view. A: T. tambroides; B: T. tambra; C: T. douronensis; and D: T. soro. AN: angulo-articular bone; PL: palatinum bone; CM: coronomeckeli bone; DN: dental bone; ECT: ectopterygoid bone; END: endopterygoid bone; HY: hyomandibular bone; IOP: interoperculum bone; MTP: metapterygoid bone; OP: operculum bone; OPJ: opercular joint bone; PCR: coronoideus processus bone; PO: opercular processus bone; POP: preoperculum bone; QD: quadratum bone; RA: retroarticular bone; SOP: suboperculum bone; SYM: symplectic bone. Scale bar: 0.5 cm.
Fig. 7 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 7. The morphology of the infraorbital bone seen from the lateral view. A: T. tambroides; B: T. tambra; C: T. douronensis; and D: T. soro. IO 1: infraorbital bone 1st; IO 2: infraorbital bone 2nd; IO 3: infraorbital bone 3rd; IO 4: infraorbital bone 4th; IO 5: infraorbital bone 5th; IO 6: infraorbital bone 6th. Scale bar: 0.5 cm.
Fig. 5 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 5. The morphology of the neurocranii bone seen from the ventral view. A: T. tambroides; B: T. tambra; C: T. douronensis; and D: T. soro. BO: basioccipital bone; ETL: lateral ethmoid bone; EXO: exoccipital bone; FR: frontal bone; FST: subtemparal foramen bone; OS: orbitosphenoid bone; PETL: lateral ethmoid processus bone; PM: masticatori processus bone; PPTR: pterotic processus bone; PRO: prootic bone; PS: parasphenoid bone; PSPL: lateral sphenotic processus bone; PTR: pterotic bone; PTS: pterosphenoid bone; SO: supraorbital bone; SP: sphenotic bone; VO: vomer bone. Scale bar: 1 cm.
Fig. 4 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 4. The morphology of the neurocranii bone seen from the lateral view. A: T. tambroides; B: T. tambra; C: T. douronensis; and D: T. soro. BO: basioccipital bone; EPO: epiotic bone; EXO: exoccipital bone; FR: frontal bone; MET: mesethmoid bone; NAS: nasal bone; OS: orbitosphenoid bone; PET: preethmoid bone; PETL: lateral ethmoid processus bone; PM: masticatori processus bone; PR: pariental bone; PRO: prootic bone; PS: parasphenoid bone; PTR: pterotic bone; PTS: pterosphenoid bone; SO: supraorbital bone; VO: vomer bone. Scale bar: 1 cm.
Fig. 1 in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 1. Osteocranium schematic measurement of the Tor genus, where the measurement designations are described in Table 1.
Fig. 2. Fish samples from the Tor genus. A in Species authentication of Tor spp. (family Cyprinidae) in Indonesia based on osteocranium structure and biometric data
Fig. 2. Fish samples from the Tor genus. A: T. tambroides (Bleeker 1854), B: T. tambra (Valenciennes 1842), C: T. douronensis (Valenciennes 1842), and D: T. soro (Valenciennes 1842). Scale bar: 3 cm.
FIGURE 1 in The type locality of Tor mosal (Hamilton, 1822) (Teleostei: Cyprinidae)
FIGURE 1. Map showing the type locality of Tor mosal and the 'erroneous type locality' propagated in Indian ichthyological literature.
FIGURE 2 in The type locality of Tor mosal (Hamilton, 1822) (Teleostei: Cyprinidae)
FIGURE 2. Gray's reproduction of Hardwicke's copy of Hamilton's illustration of Cyprinus mosal, reproduced from Gray (1830-35)
tor_differential_treatment
<p>This is the data corresponding to the NDSS 2016 paper (*) that identified web IP addresses that treat Tor users differently than normal users.</p> <p>(*) Sheharbano Khattak, David Fifield, Sadia Afroz,Mobin Javed, Srikanth Sundaresan, Vern Paxson, Steven J. Murdoch, and Damon McCoy. <a href="https://sheharbano.com/assets/publications/ndss16_tor_differential.pdf">Do You See What I See? Differential Treatment of Anonymous Users</a>. The Network and Distributed System Security Symposium (NDSS), 2016.</p>
Exposing TCP watermarks in the Tor network using deep learning
<p><strong>Description</strong></p> <p>The datasets consist of Tor network flows that have been captured with packet analyser Wireshark and converted into CSV format. The network flows consist of file transfers of images whose size varies from a few kilobytes to several megabytes. The captured packets are flows from the entry guard of the connection to the client. The datasets contain both clean Tor traffic and "watermarked" Tor traffic. Watermarking is a method of leaving small prints on the network flow at the sender end and trying to detect them at the receiving end. A positive detection indicates a connection between the two parties, thus breaking the anonymity aspect of the Tor. </p> <p>The used watermarking algorithms are "Interval-based watermarking" (IBW) presented by Pyun et al. [1] in 2007 and "Scalable watermark that is invisible and resilient to packet losses" (SWIRL) presented by Houmansadr and Borisov [2] in 2011. The algorithms were implemented with a watermarking module, which is essentially a modified TCP/IP stack. The module is publicly available [3].</p> <p> </p> <p>The IBW-watermarked data is produced in the following way:</p> <p>The watermarked training data is endoded with the bit string {0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1} by introducing the following repeating delays (milliseconds):</p> <p>{0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0}.</p> <p>The watermarked test data is encoded with the bit string {0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0} by introducing the following repeating delays (milliseconds):</p> <p>{0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,0,1000,0,0,0,0, 1000,0,0,0,0, 1000,0,0,0,0, 0,0,0,0,1000,0,0,0,0, 0,0,0,0,1000,0,0,0,0}.</p> <p> </p> <p>The SWIRL-watermarked data is produced in the following way:</p> <p>The watermarked training data is encoded with a repeating delay string (milliseconds) {100, 0, 250, 250, 100, 250, 250, 100, 0, 0, 250, 0, 0, 100, 250, 0, 0, 250, 0, 250}, which mimics a SWIRL's permutation. </p> <p>The watermarked test data is encoded with a repeating delay string (milliseconds) {100, 100, 300, 300, 300, 100, 300, 100, 0, 0, 100, 100, 0, 0, 300, 0, 100, 100, 300, 0}, which also mimics a SWIRL's permutation. </p> <p> </p> <p>The datasets have been collected as a part of master's thesis work at Tampere University and are used primarily in neural network classification tests. The datasets intended for neural network training are longer and have "_train.csv" endings in their names. Datasets intended for testing are shorter and have "_test.csv" endings in their names. </p> <p> </p> <p><strong>References</strong></p> <p>[1] Y. J. Pyun, Y. H. Park, X. Wang, D. S. Reeves and P. Ning. "Tracing Traffic through Intermediate Hosts that Repacketize Flows," <em>IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications</em>, Anchorage, AK, USA, 2007</p> <p>[2] A. Houmansadr and N. Borisov. “SWIRL: A Scalable Watermark to Detect Correlated Network Flows,” <em>Network and Distributed System Security Symposium, </em>San Diego, United States, 2011</p> <p>[3] https://gitlab.com/nisec/tcp-watermark/</p>
FIGURES 13–20 in Description of a new and redescriptions of two known species of Tor ym u s (Hymenoptera: Torymidae) in Taiwan with a key to Taiwanese species
FIGURES 13–20. Torymus aiolomorphi: 13, Ƥ head, frontal view; 14, Ƥ antenna; 15, Ƥ mesoscutum; 16, Ƥ scutellum; 17, Ƥ propodeum; 18, Ƥ fore wing, upper surface; 19, Ƥ hind femur; 20, 3 antenna. Scale bars: 0.5 mm.
FIGURE 11 in Description of a new and redescriptions of two known species of Tor ym u s (Hymenoptera: Torymidae) in Taiwan with a key to Taiwanese species
FIGURE 11. Slender club-shaped galls induced by an unidentified gall midge on Machilus pseudolongifolia.
FIGURES 2–9 in Description of a new and redescriptions of two known species of Tor ym u s (Hymenoptera: Torymidae) in Taiwan with a key to Taiwanese species
FIGURES 2–9. Torymus flavigastris: 2, Ƥ head, frontal view; 3, Ƥ antenna; 4, Ƥ mesoscutum; 5, Ƥ scutellum; 6, Ƥ propodeum; 7, Ƥ fore wing, upper surface; 8, Ƥ hind femur; 9, 3 antenna. Scale bars: 2–6, 9 0.2 mm; 7, 8 0.5 mm.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.