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Fig. 3 in First record of the rare slug species Meghimatium bilineatum (Benson, 1842) (Gastropoda: Eupulmonata: Philomycidae) in the Jewish Autonomous Region (Middle Amur basin)
Fig. 3. Ethanol preserved mature Meghimatium bilineatum from the Middle Amur basin (dorsal view). Scale bar – 1 cm. Photo by L.A. Prozorova.
Рис. 1. Места находок слиЗнЯ Meghimatium bilineatum на Дальнем Востоке России. Новое местонахождение в Еврейской Автономной области отмечено ЗвеЗдочкой. in First record of the rare slug species Meghimatium bilineatum (Benson, 1842) (Gastropoda: Eupulmonata: Philomycidae) in the Jewish Autonomous Region (Middle Amur basin)
Рис. 1. Места находок слиЗнЯ Meghimatium bilineatum на Дальнем Востоке России. Новое местонахождение в Еврейской Автономной области отмечено ЗвеЗдочкой.
Fig. 1 in Stenolemus novaki Horváth, 1888 (Hemiptera: Reduviidae) in the autonomous communities of Andalusia and Madrid (Spain)
Fig. 1.- Specimen of Stenolemus novaki Horváth, 1888, near Miraflores de la Sierra, Madrid. (Photo: Kristian Leahy).
Nonlinear method to assess autonomic modulation during controlled breathing: dataset
<p><strong>Please, cite this article if using dataset:</strong></p> <p><strong>A. Uryga, M. Najdek, M. Najda, C. Mataczyński and T. Buchner, "Nonlinear Method to Assess Autonomic Modulation During Controlled Breathing," <em>2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)</em>, ZARAGOZA, Spain, 2024, pp. 1-2, doi: 10.1109/ESGCO63003.2024.10766976.</strong></p> <p> </p> <p><strong>General information:</strong></p> <p>This database contains data from 34 young healthy volunteers (median age: 22 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024.</p> <p>The study was approved by the bioethical committee (KB-179/2023/N).</p> <p>We would like to thank Prof. Magdalena Kasprowicz, the head of the Brain Physics group (https://www.brainlab.pwr.edu.pl/), for her help and support during the research.</p> <p>The study was support by National Science Centre, Poland (UMO-2022/47/D/ST7/00229).</p> <p><strong>Signal recordings description:</strong></p> <ul> <li>ABP was measured non-invasively by a servo-controlled plethysmograph (CNAP, CNSystems Medizintechnik GmbH, Graz, Austria, in n = 19 subjects, and Finapres Nova, FMS Medical Systems, in n = 15 subjects). The cuff was placed on the middle finger of the left hand and held at the level of the heart.</li> <li>Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration, and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA).</li> <li><strong>Protocol</strong>: After a resting epoch lasting at least 5 minutes, a controlled breathing session was initiated with three 5-minute recordings at respiratory rates of 6, 10, or 15 breaths/min (0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome.</li> </ul> <p><strong>Data description:</strong></p> <ul> <li><strong>Metadata</strong>: Including device, gender (male M, female F), and age</li> <li><strong>Autonomic Nervous System parameters</strong>: Including <ul> <li>Phase-Rectified Signal Averaging (PRSA) - a non-linear approach used to quantify the acceleration (AC) and deceleration (DC) capacity of the heart</li> <li>Entropy: Fuzzy entropy (FuzzyEn) functions calculated for R-R intervals, which were implemented in NeuroKit2</li> <li>Joint Symbolical Analysis (JSA) - a method that identifies short-term repeated patterns in a signal (JSA_sym and JSA_diam)</li> </ul> </li> <li><strong>Physiological parameters</strong>: Including <ul> <li>Mean arterial blood pressure (ABP)</li> <li>Mean end-tidal carbon dioxide (EtCO2)</li> <li>Mean heart rate (HR)</li> </ul> </li> </ul>
Fig. 8 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 8. Histological micrograph of Asian hard clam (Meretrix lusoria) mantle tissue. A, Cryptostylochus sp. after 12 hours of decomposition by 30 autonomic pharynges. B, Control group without autonomic pharynges.
Fig. 7 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 7. Linear regression for the clam (Meretrix lusoria) mortality percentage on the number of autonomic pharynges of Cryptostylochus sp.
Fig. 3 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 3. Sagittal section of Cryptostylochus sp. A, Genital apparatus. B, Monoglandular prostate gland. C, Anchor-shaped seminal vesicle. fg, female gonopore; gd, glandular duct; il, interior lining; j, joint of prostatic duct and ejaculatory duct; mg, male gonopore; mw, muscular wall; pd, prostatic duct; pp, penis papilla; pv, prostatic vesicle; s, secretion; sv, seminal vesicle; vd, vas deferens.
Fig. 4 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 4. The three predatory processes for Cryptostylochus sp. on Portuguese oysters (Magallana angulata). A, Attack period: flatworms extend their pharynx into the oyster from the shell opening for 4 to 8 hours and some autonomic pharynges are formed. B, Invasion period: the stylochid flatworms crawl into the shell after the oyster cannot resist and the oyster gradually loses its ability to close its shell. C, Ingestion period: the flatworm wraps the entire oyster flesh and separates it from the shell. f, flatworm; o, oyster; p, protruding pharynx.
Fig. 5 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 5. Cumulative shell valve openings and closures frequency for Portuguese oysters (Magallana angulata) and Asian hard clams (Meretrix lusoria) during the attack period by Cryptostylochus sp. (each test used five each of oysters and clams).
Fig. 2 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 2. Illustration of the collection of autonomic pharynges from Cryptostylochus sp. The flatworm is flipped over with its ventral surface facing upward. The highly ruffled pharynx is everted under stimulation by pressing the ventral surface with a paintbrush. The pharynx extends and spontaneously breaks into pieces of autonomic pharynges, which are collected by tweezers.
Fig. 1 in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 1. Cryptostylochus sp. A, Dorsal view and B, ventral view. The pharynx is large and highly ruffled. The mouth is in the center of the pharynx ventrally. The head is on the right side. t, tentacles; p, pharynx; m, mouth.
Fig. 6. A in Predation of Oysters Using an Autonomic Pharynx in the Oyster Leech sp. (Polycladida: Stylochidae).
Fig. 6. A, Protruding pharynx of Cryptostylochus sp. and the autonomic pharynx shown by arrows. B, Collected autonomic pharynx placed on the surface of a clam shell to easily record and analyze the video results. Using the time-lapse video, we found that some autonomic pharynges slowly crawled around for roughly 10 hours before losing mobility. ap, autonomic pharynx; p, protruding pharynx.
Fig. 2 in New finds of the fossil genus representatives of Tonomochota Tiunov et Gusev, 2021 (Lagomorpha, Ochotonidae) in Korydornaya Cave (Jewish Autonomous Oblast, Far East of Russia)
Fig. 2. Plan (A) and section (B) of Korydornaya Cave and a sketch of the section along the northeast wall of the pit (C). The description of the lithologic layers: 1 — light-brown medium loam; 2 — brown-ochre heavy loam; 3 — brown heavy loam; 4 — yellow-brown clay; 5 — red crumbly clay, a lot of small well-rounded pebbles; 6 — cave deposits. Black circles indicate the places of fossil remains for which dating was obtained. Рис. 2. ПΛан (A) и разрез (B) пещеры КориΔорная и эскиз разреза по северо-восточной стенки шурфа (С). Описание ΛитоΛогических сΛоев: 1 — светΛо-бурый среΔний сугΛинок; 2 — буро-охристый тяжеΛый сугΛинок; 3 — бурый тяжеΛый сугΛинок; 4 — жеΛтобурая гΛина; 5 — красная рассыпчатая гΛина, много меΛкой хорошо окатанной гаΛьки, 6 — пещерные отΛожения. Черными кругами обозначены места нахоΔок ископаемых остатков, ΔΛя которых быΛи поΛучены Δатировки
Fig. 8 in New finds of the fossil genus representatives of Tonomochota Tiunov et Gusev, 2021 (Lagomorpha, Ochotonidae) in Korydornaya Cave (Jewish Autonomous Oblast, Far East of Russia)
Fig. 8. Vertical distribution of pica fossils in Korydornaya Cave. The layers correspond to the layers from the excavation section (Fig. 2C) Рис. 8. ВертикаΛьное распреΔеΛение ископаемых остатков пищуховых в пещере КориΔорная. СΛои соответствуют сΛоям из разреза раскопа (Рис. 2C)
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 19. AnyLogic Implementation of Decision-Making Architechture in an Virtual Autonomous Agent Environment
<p>Figure 19 shows a screenshot of the test implementation. The picture in the middle shows the modules and interfaces<br> of the decision-making architecture which were realized by so-called “active objects” and “ports”.<br> On the left side, the implemented modules are listed. In the right lower corner of the figure, the<br> agents and the virtual environment are displayed. The environment comprises different “objects”<br> (food sources, obstacles, predators, other agents, etc.). In order to survive, the agents have to access<br> food sources. However, the accessing of food sources bears difficulties and risks.</p>
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 17. Autonomous Decision-Making Architecture
<p>An overview of the decision-making architecture is presented in Figure 17. The architecture was<br> guided by two core concepts. The first core concept is that human intelligence bases on a<br> combination of low-level and high-level mechanisms. Low-level mechanisms are mainly<br> predefined. They are not in all situations completely accurate but have the advantage of being fast.<br> High-level mechanisms are not predefined and thus slower but more accurate. The second core<br> concept concerns the use of so-called emotions as mechanism for the evaluation of information</p>
BRAIN Journal-Brain-Like Artificial Intelligence for Automation-Figure 18. Different Modules involved in the Autonomous Decision-Making Process
<p>The basic functioning of this architecture is now described in the following step by step<br> using Figure 18a-f, where always the relevant modules of the model are highlighted for better<br> comprehension.</p>
The Right to Data Protection Ensuring the Autonomous Exercise of the Individual's Other Fundamental Rights
<p>The graphic illustrates the function of the fundamental right to data protection under Art. 8 ECFR protecting individuals against the risks caused by the processing of personal data against his or her other fundamental rights to privacy, freedom and non-discrimination.</p>
Slow motion in films and video clips: Music influences perceived duration and emotion, autonomic physiological activation and pupillary responses [data set]
<p>Data set for a study to be published by PLOS ONE.</p>
Autonomous Illumination Control for Localization Microscopy - Data
<p>Data and scripts associated with the manuscript entitled "Autonomous Illumination Control in Localization Microscopy."</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.