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Fig. 3. A in Megascolex (Perichaeta) diffringens Baird, 1869 and Pheretima pingi Stephenson, 1925 types compared to the Amynthas corticis (Kinberg, 1867) and A. carnosus (Goto & Hatai, 1899) species-groups (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 3. A. carnosus - sketch of Hikone specimen (Tokyo An-460 - DNA JET-112) showing ventral view of anterior and dorsal views of prostomium, clitellum and flared male pores posteriorly (other specimen An-461 and JET samples 113-115 agreed 100%). This specimen resembles P. pingi (cf Fig. 11) but its DNA agrees with A. carnosus (as in Fig. 1).
Fig. 2. A. carnosus - A in Megascolex (Perichaeta) diffringens Baird, 1869 and Pheretima pingi Stephenson, 1925 types compared to the Amynthas corticis (Kinberg, 1867) and A. carnosus (Goto & Hatai, 1899) species-groups (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 2. A. carnosus - A. Korean specimen from Geoman (NIBR IV261234 - DNA w37). B. Japanese neotype of A. carnosus (Tokyo An- 435 from Blakemore, 2012a). These two specimens are almost identical morphologically allowing genetic comparison (Fig. 1).
Fig. 7 in New earthworm species from NIBR's Jeju-do biosphere compared to historical and new Japanese types (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 7. Amynthas tralfamadore sp. nov. holotype from NIBR Korea; [boxed is a X2 enlargement of 9 lhs spermatheca and 18 rhs male pore].
Fig. 6. A in New earthworm species from NIBR's Jeju-do biosphere compared to historical and new Japanese types (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 6. A. micronarius Japanese Watarase specimen-lhs; Nogeyama specimen-middle; Incheon's NIBR (INV0000246442) Jeju-conservatory specimen [boxed X2 enlargement of spermathecal and male pores in 5/6 rhs & 18 rhs]-rhs.
Fig. 11 in Megascolex (Perichaeta) diffringens Baird, 1869 and Pheretima pingi Stephenson, 1925 types compared to the Amynthas corticis (Kinberg, 1867) and A. carnosus (Goto & Hatai, 1899) species-groups (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 11. Pheretima pingi previously dissected syntype (London BMNH 1924.11.29.5) showing habitus, prostomium plus spermathecae, caecum and 18lhs prostate in situ with enlargements of spermathecal pores and 18rhs male pore; a spermatheca with parasitic artefacts from 8rhs (removed by Stephenson and placed into a vial) figured separately at two scales and two aspects; [boxed is copy of Stephenson's sketch of same spermatheca (cf more detail in Chen, 1933: fig. 15)]. Compare to Fig. 3.
Fig. 3 in New earthworm species from NIBR's Jeju-do biosphere compared to historical and new Japanese types (Oligochaeta: Megadrilacea: Megascolecidae)
Fig. 3. Amynthas parvicystis after original (Goto & Hatai, 1899: fig. 8)-possibly a composite for different species and with segments 7 & 8 miscounted?
Fig. 6 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 6. Tylototriton ziegleri larvae from Bao Lac district, Cao Bang Province with indication of the corresponding developmental stage and scale. Photographs of stages 27 to 36 are from preserved eggs photographed under a digital microscope (photos C. Michel) and photographs of stages 44 and 45 are from individuals in life kept at the Me Linh station (photos T. Ziegler).
Fig. 4 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 4. Drawing of a formol-preserved larva of Tylototriton ziegleri at stage 35. Drawing C. Michel.
Fig. 2 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 2. Percentage of the number of adults of Tylototriton vietnamensis and T. ziegleri found at each interval of percentage of canopy cover measured above the water of the breeding site.
Fig. 5 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 5. Metamorph of Tylototriton ziegleri at stage 44, with an additional finger on left hand, collected in Ha Giang Province in 2012 and preserved in ethanol. Photo M. Bernardes.
Fig. 1. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 1. A. Adult male of Tylototriton ziegleri; B. Habitat type in Bao Lac district, Cao Bang Province; C. Adult male of Tylototriton vietnamensis; D. Habitat type in Tay Yen Tu Nature Reserve, Bac Giang Province. Photos M. Bernardes.
Fig. 7 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 7. Dark and light phenotypic variations of Tylototriton vietnamensis found at the type locality. Photo M. Bernardes.
Fig. 3. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 3. A: Typical clutch of Tylototriton ziegleri composed by single eggs; B: an exceptional case of "stickiness" where eggs were aggregated in groups of 2–4. Photos M. Bernardes.
Fig. 1 in Comparative molecular and morphological species delineation of Halammohydra Remane, 1927 (Hydrozoa)-with the description of four new species
Fig. 1 Phylogenetic tree of all three genes concatenated with support values of BI/ML (posterior probability/bootstrap value). Nodes with an * have a support of 100/100. Some clusters are collapsed. Sum-
Figure 6. Performance plot for NASDAQ index (RNN)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 5 we can see that the mse curve reaches the In performance goal but it does not<br> decrease in that good manner,but in Figure 6 the mse is reduces widely. By analyzing all these<br> results one can say that RNN is better choice than Feedforward MLP in prediction purpose.</p>
Figure 5. Performance plot for NASDAQ index (MLP)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 5 we can see that the mse curve reaches the In performance goal but it does not<br> decrease in that good manner,but in Figure 6 the mse is reduces widely. By analyzing all these<br> results one can say that RNN is better choice than Feedforward MLP in prediction purpose.</p>
Figure 3. Regression plot for NASDAQ index (MLP)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 3 depicts the regression plot for the feedforward MLP network, analyzing it we can<br> say that Y=T regression is not so good.</p>
Figure 4. Regression plot for NASDAQ index (RNN)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 4,depicts the regression plot for the Timedelay RNN network, analyzing it we can<br> say that Y=T regression is totally fit.<br> This paper also comprises of comparative study of performance(mse) plot of both network.</p>
Figure 2.Flow Chart for Data preprocessing & Training-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Methodology<br> This paper develops an ANN based comparative predictive model for NASDAQ stock<br> prediction. The first ANN model is developed with Multi-Layer Feed forward Network<br> Architecture & the second model is developed with Recurrent Neural Network Architecture. In this<br> paper gradient descent based back propagation learning algorithm is used for the supervised<br> learning of the predictive network.</p>
BRAIN Journal-Electrophysiological Neuroimaging using sLORETA Comparing 100 Schizophrenia Patients to 48 Patients with Major Depression -Figure 4. Histogram age distributions of the 100 Schizophrenia patients illustrating clusters of patients at 20, 30, 40, and 50 years old.
<p>The figure below is a histogram distribution of the ages of one hundred Schizophrenia<br> patients in this study. There appears to be a cyclical peak every ten-years cycles at 20, 30, 40, and<br> 50-year-old patients. This may suggest a recent finding that CD8 T cells, which play a pivotal role<br> in mediating long-term immunity to Toxoplasma, are down-regulated in schizophrenia patients<br> (Bhadra et al., 2013). Based on the aforementioned statements, a vaccine for Toxoplasmosis may be<br> difficult to achieve, but the treatment and screening possibilities in patients with psychosis are<br> available today.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.