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opencc-by-4.0Jun 2010View details →

Fig. 20. Hadruroides Pocock, 1893, diagnostic characters. A, B. Hadruroides juanchaparroi, n in The Genus Hadruroides Pocock, 1893 (Scorpiones: Iuridae), in Peru: New Records and Descriptions of Six New Species

Fig. 20. Hadruroides Pocock, 1893, diagnostic characters. A, B. Hadruroides juanchaparroi, n. sp., paratype ♀ (MHNC). A. Telson, lateral aspect. B. Metasomal segment V, lateral aspect. C. Hadruroides lunatus (L. Koch, 1867), ♀ (AMNH), tergite V, dorsal aspect showing pigmentation pattern. D–F. H. juanchaparroi, paratype ♂ (MHNC). D. Tergite IV, dorsal aspect showing pigmentation pattern. E. Sternite VII and metasomal segments I–V, ventral aspect showing pigmentation pattern. F. Dextral pedipalp chela, movable finger, dorsal aspect showing dentition. G. Hadruroides geckoi, n. sp., paratype ♂ (MHNC), dextral pedipalp chela, movable finger, dorsal aspect showing dentition. H. Hadruroides vichayitos, n. sp., paratype ♂ (MHNC), dextral pedipalp chela, movable finger, dorsal aspect showing dentition. Scale bars = 1 mm.

Fig. 5 in Records of Chelidoperca maculicauda and C. occipitalis (Serranidae) from the Arabian Sea, with Comments on Diagnostic Characters

Fig. 5. Relationships of head length (A), postorbital length (B), snout length (C), and longest pelvic-fin soft ray length (D) (all as % of standard length) to standard length (mm) in Chelidoperca hirundinacea (diamonds), C. lecromi (crosses), C. occipitalis (circles), C. maculicauda (squares), C. margaritifera (circles with cross), C. pleurospilus (downward-pointing triangles), C. santosi (star), and C. stella (upward-pointing triangles), showing interspecific differences (A–B) and growth-related changes within the species (C–D). Open symbols indicate the type series of C. occipitalis (circles), the holotype of C. maculicauda, and a non-type specimen reported by Bineesh et al. (2014: table 2) (squares).

Fig. 4 in Records of Chelidoperca maculicauda and C. occipitalis (Serranidae) from the Arabian Sea, with Comments on Diagnostic Characters

Fig. 4. Distributional map of Chelidoperca maculicauda (squares) and C. occipitalis (circles). Open and closed symbols indicate previously reported and new records, respectively. Note: Psomadakis et al. (2015) recorded C. occipitalis from the Pakistan coast.

Fig. 3 in Records of Chelidoperca maculicauda and C. occipitalis (Serranidae) from the Arabian Sea, with Comments on Diagnostic Characters

Fig. 3. Semi-schematic illustrations of dorsal views of head (A, C) and ventral views of lower jaw (B, D) showing squamation differences in (A–B) Chelidoperca maculicauda, USNM 306446, one of two specimens, 103.9 mm SL and (C–D) C. occipitalis, USNM 389094, one of five specimens, 84.5 mm SL. AN and PN indicate the anterior and posterior nostrils, respectively. Bars equal 3 mm.

Fig. 1 in Records of Chelidoperca maculicauda and C. occipitalis (Serranidae) from the Arabian Sea, with Comments on Diagnostic Characters

Fig. 1. Preserved specimens of (A) Chelidoperca maculicauda, USNM 306446, one of two specimens, 103.9 mm SL, off Somalia, Gulf of Aden, and (B) C. occipitalis, USNM 389094, one of five specimens, 89.1 mm SL, off Oman, Gulf of Oman.

Fig. 2 in Records of Chelidoperca maculicauda and C. occipitalis (Serranidae) from the Arabian Sea, with Comments on Diagnostic Characters

Fig. 2. Semi-schematic illustrations illustrating differences in scale rows between lateral line and dorsal-fin base in (A) Chelidoperca maculicauda, USNM 306452, one of three specimens, 87.0 mm SL, and (B) C. occipitalis, USNM 389097, 89.9 mm SL. Shaded scales counted as 0.5. Closed and open arrowheads indicate the dorsal-fin origin and pored lateral-line scale, respectively. Bars equal 3 mm.

Fig. 6 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration

Fig. 6. Relationships of (A) body depth at anal-fin origin, (B) second pectoral-fin ray length, (C) longest pelvic-fin soft ray length, and (D) upper jaw length (as % of standard length), and (E) length of skin flap on supraocular and (F) length of skin flap on posterior lacrimal spine tip [as % of orbit diameter (OD)] to standard length in Pterois brevipectoralis.

Fig. 7 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration

Fig. 7. Relationship of position of longest pectoral-fin ray tip to standard length (mm) in Pterois brevipectoralis. A, D, and C represent the anal-fin base end, the dorsal-fin base end, and the caudalfin base, respectively; =,>,

Fig. 4 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration

Fig. 4. Skin flaps on lacrimal (A and C) and preopercle (B and D) of Pterois brevipectoralis at different growth stages. A, B, USNM 392069, 49.2 mm SL; C, D, HUMZ 73848, 125.7 mm SL. Arrows indicate third preopercular spine.

Fig. 2 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration

Fig. 2. Fresh specimen of Pterois brevipectoralis, HUMZ 73846, 115.8 mm SL, Saya de Malha Bank. Photo: HUMZ.

Fig. 1 in Newly Recognized Diagnostic Characters of the Poorly Known Lionfish Pterois brevipectoralis (Scorpaenidae: Pteroinae), with Notes on Fresh Coloration

Fig. 1. Lateral (top) and dorsal (bottom) views of head of Pterois brevipectoralis, HUMZ 73848, 125.7 mm SL. Shaded areas indicate skin flaps. 1, nasal spine; 2, preocular spine; 3, supraocular spine; 4, postocular spine; 5, coronal spine; 6, tympanic spine; 7, parietal spine; 8, nuchal spine; 9, pterotic spine; 10, lower posttemporal spine; 11, supracleithral spine; 12, sphenotic spine; 13, supplemental preopercular spine; 14, preopercular spine; 15, suborbital ridge/spine; 16, lateral lacrimal ridge/spine; 17, posterior lacrimal spine. Barbel on anteroventral lacrimal based on right side in lateral view; nasal spines and right supraocular skin flap not illustrated in dorsal view.

opencc-by-4.0Dec 2021View details →

Machine Learning Dataset for Poultry Diseases Diagnostics - PCR annotated

The dataset of poultry disease diagnostics was annotated using Polymerase Chain Reaction (PCR). Polymerase Chain Reaction (PCR) is a molecular biology technique for rapid diagnostics. We gathered both the fecal images and fecal samples from layers, cross and indigenous breeds of chicken from poultry farms in Arusha and Kilimanjaro regions in Tanzania between September 2020 and February 2021. Each fecal sample collected was coded to its corresponding image during data collection. PCR method is used for detection and identification of pathogens through amplification of DNA sequences unique to the pathogen. We used existing primers from literature to amplify the target DNA/RNA on the poultry fecal samples for PCR. The targets were Coccidiosis, Newcastle disease and Salmonella. We used the primers for PCR diagnostics at the molecular laboratory of the Nelson Mandela African Institution of Science and Technology (NM-AIST). The fecal samples were stored at -80 degrees celsius. The PCR diagnostics were conducted using reagents and kits from Zymo Research and the protocol is summarized in these five stages: 1. DNA sample loading 2. DNA extraction 3. Amplification; 4. Quantification and 5. Detection. All the PCR annotated fecal images are in the .zip files; “pcrcocci.zip” has 373 images, “pcrhealthy.zip” has 347 images, “pcrsalmo.zip” has 349 images, "pcrncd.zip" has 186 images. A total of 1,255 image files are labeled. The research project is funded by the Organization for Women in Science for the Developing World (OWSD) with Grant Award Number: 4500406715.

opencc-by-4.0Jan 2022View details →

Data Archive: 2021 Development of a Virtual Diagnostic for the Advanced Particle Accelerator Modeling Code WarpX

A current promising field of research, laser-driven ion acceleration has the potential to reduce the size, cost, and energy consumption of particle accelerators by orders of magnitude.   To better refine the instrumentation, we have developed a virtual diagnostic to measure electromagnetic radiation such as  radiation produced from scattered and transmitted laser beams which has been implemented into WarpX, an advanced Particle-in-Cell code that simulates laser-driven particle acceleration. This “FieldProbe” diagnostic provides field measurements and is parallelized using the Message Passing Interface (MPI) and can thus run on High Performance Computing systems such as the NERSC Cori cluster.

opencc-by-4.0Feb 2022View details →

Molecular Signatures of Tumour and its Microenvironment for Precise Quantitative Diagnosis of Oral Squamous Cell Carcinoma: An Interna-tional Multi-cohort Diagnostic Validation Study

Supplementary Materials: The following supporting information can be downloaded at: www.mdpi.com/xxx/s1, Table ST1 – qMIDSV2 Gene panel primer sequences; Figure S1 – qMIDSV1 vs qMIDSV2 384-well assay format and protocols; Figure S2. Individual target gene expression pattern in 1761 samples; Figure S3. Various statistical methods used for gene selection analysis on 1761 clinical samples; Figure S4. Diagnostic performance comparison between qMIDSV2 vs qMIDSV2* (with 4 less effective genes removed from the panel of 14 target genes of qMIDSV2); Figure S5. Effect of removing individual genes from the 14-target gene panel qMIDSV2 (qV2) on diagnostic test performance based on the UK patient cohort data.

Fig. 7 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 7. The relation between the upper molars (M1–3) and foramen incisivum length (FIL) in M. arvalis and M. agrestis.

Fig. 6 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 6. The relation between the braincase height (CRH) and width (CRB) in T. tatricus and T. subterraneus.

Fig. 3 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 3. Diagnostic characters of the region of frontal bones in Terricola spp., photo (a) and scheme (b).

Fig. 10 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 10. General contours of molars: a — M2 in M. agrestis; b — M2 in other Microtus s. l.; c — m1 in M. arvalis and M. agrestis; d — m1 in Terricola spp.; e — M3 in T. subterraneus; f — M3 in T. tatricus. A — anteroconid complex.

Fig. 5 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 5. General view of the area of frontal sutures: а–b) Terricola spp., photo and scheme; c–d) M. agrestis, photo and scheme; e–f) M. arvalis, photo and scheme.

Fig. 8 in Diagnostic Criteria For Identification Of Microtus S. L. Species (Rodentia, Arvicolidae) Of The Ukrainian Carpathians

Fig. 8. The relation between the upper molars length (M1–3) and braincase height (CRH) in M. arvalis and M. agrestis.