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3,145 results for “Well Being”
Quantifying Auger recombination coefficients in type-I mid-infrared InGaAsSb quantum well lasers
<p>From a systematic study of the threshold current density as a function of temperature and hydrostatic pressure, in conjunction with theoretical analysis of the gain and threshold carrier density, we have determined the wavelength dependence of the Auger recombination coefficients in InGaAsSb/GaSb quantum well lasers emitting in the 1.7-3.2 µm wavelength range. From hydrostatic pressure measurements, the non-radiative component of threshold currents for individual lasers was determined continuously as a function of wavelength. The results are analysed to determine the Auger coefficients quantitatively. This procedure involves calculating the threshold carrier density based on device properties, optical losses, and estimated Auger contribution to the total threshold current density. A strong increase with decreasing mid-infrared wavelength (< 2 µm) indicates the prominent role of intervalence Auger transitions to the split-off hole band. Above 2 µm, the increase with wavelength is approximately exponential due to CHCC or CHLH Auger recombination. The observed dependence is consistent with that derived by analysing literature values of lasing thresholds for type-I InGaAsSb quantum well diodes. Over the wavelength range considered, the Auger coefficient varies from a minimum of 1x10<sup>‑16</sup>cm<sup>4</sup>s<sup>-1</sup> at 2.1µm to ~8x10<sup>‑16</sup>cm<sup>4</sup>s<sup>-1</sup> at 3.2µm.</p> <p> </p> <p> </p> <p> </p>
Subspecies and Distribution. A.a.americanaOrd,1815—fromSCanada(SAlberta&SSaskatchewan)toN&CMexico. A.a.peninsularisNelson,1912—Mexico(NBajaCalifornia). A. a. sononensis Goldman, 1945 — USA (S Arizona) and Mexico (N Sonora). It was introduced on Lanai Island (Hawaii) in 1959; however, it never became well established there and seems headed for extinction. in Antilocapridae
Subspecies and Distribution. A.a.americanaOrd,1815—fromSCanada(SAlberta&SSaskatchewan)toN&CMexico. A.a.peninsularisNelson,1912—Mexico(NBajaCalifornia). A. a. sononensis Goldman, 1945 — USA (S Arizona) and Mexico (N Sonora). It was introduced on Lanai Island (Hawaii) in 1959; however, it never became well established there and seems headed for extinction.
Distribution. Known from Aomori, Iwate, Fukushima, and Tochigi prefectures on Honshu I, Japan, as well as from a recently collected specimen from C & SW South Korea. in Vespertilionidae
Distribution. Known from Aomori, Iwate, Fukushima, and Tochigi prefectures on Honshu I, Japan, as well as from a recently collected specimen from C & SW South Korea.
Distribution. Known from scattered localities throughout Africa and Middle East, including N Africa from Morocco to Egypt and W Africa (Senegal and Mauritania) E to Sudan and Ethiopia and S throughoutthe rest of sub-Saharan Africa to N South Africa as well as Unguja I (Zanzibar Archipelago), and Middle East in Israel, SE Iraq, Kuwait, extreme SW Iran, Bahrain, and SW Yemen; distribution is probably much more continuous. in Vespertilionidae
Distribution. Known from scattered localities throughout Africa and Middle East, including N Africa from Morocco to Egypt and W Africa (Senegal and Mauritania) E to Sudan and Ethiopia and S throughoutthe rest of sub-Saharan Africa to N South Africa as well as Unguja I (Zanzibar Archipelago), and Middle East in Israel, SE Iraq, Kuwait, extreme SW Iran, Bahrain, and SW Yemen; distribution is probably much more continuous.
Distribution. Very widespread throughout Africa from Morocco, Algeria, and N Egypt (Cairo) to SW South Africa (Cape Town), as well as SW Saudi Arabia, Yemen, and E Oman, S Iran, E Afghanistan, Pakistan, India, and Sr1 Lanka; while it 1s more continuously distributed in S Africa, its distribution N of the Zambezi Riveris very patchy. in Molossidae
Distribution. Very widespread throughout Africa from Morocco, Algeria, and N Egypt (Cairo) to SW South Africa (Cape Town), as well as SW Saudi Arabia, Yemen, and E Oman, S Iran, E Afghanistan, Pakistan, India, and Sr1 Lanka; while it 1s more continuously distributed in S Africa, its distribution N of the Zambezi Riveris very patchy.
Distribution. Tropical to warm temperate waters from ¢.50° N to ¢.40° S in the Indian, Pacific, and Atlantic oceans, as well as many adjacent seas including the Gulf of California, Sea ofJapan, Bohai, Yellow, and East China seas, and the Mediterranean Sea. Vagrant to the Red Sea and Persian Gulf. in Delphinidae
Distribution. Tropical to warm temperate waters from ¢.50° N to ¢.40° S in the Indian, Pacific, and Atlantic oceans, as well as many adjacent seas including the Gulf of California, Sea ofJapan, Bohai, Yellow, and East China seas, and the Mediterranean Sea. Vagrant to the Red Sea and Persian Gulf.
Distribution. Coastal and subcoastal E Australia from Cape York Peninsula, NE Queensland, to far SE South Australia and inland to Adavale, Queensland; present also on islands of Fraser, Bribie, North and South Stradbroke, Peel, and Russell (all in Queensland), as well as Chinaman, Hummock, Little Snake, Phillip, Rotamah, and Sunday (all in Victoria). in Macropodidae
Distribution. Coastal and subcoastal E Australia from Cape York Peninsula, NE Queensland, to far SE South Australia and inland to Adavale, Queensland; present also on islands of Fraser, Bribie, North and South Stradbroke, Peel, and Russell (all in Queensland), as well as Chinaman, Hummock, Little Snake, Phillip, Rotamah, and Sunday (all in Victoria).
Herman B Wells on a Bench
Herman B Wells Source: Objaverse 1.0 / Sketchfab
St Ruan's Well House take 2
A small, stone built well house near the village of Cadgwith on the Lizard peninsula. Said to be 15th century It once had a stone cross on the ridge, this was removed in the 19th century and is now in St Grade church. This is a second scan of the well house using a mobile phone and Scaniverse software 📍 [Cornwall AONB, Helston, England](https://scaniver.se/L49.98832,-5.18891) Source: Objaverse 1.0 / Sketchfab
Well
Source: Objaverse 1.0 / Sketchfab
"Merkel-Welle" (Carnival-Wagon)
This model was made by Jaque Tilly for this years (2016) carnival in Düsseldorf. I used a photometric scan system to recreate this model in the 3D space and optimised it for a 3D-Print version. ; ) Source: Objaverse 1.0 / Sketchfab
The influence of inhomogeneities and defects on novel Quantum Well and Quantum Dot based Infrared -emitting Semiconductor Lasers
<p><strong>Semiconductor Science and Technology article.</strong></p> <p>In this paper we discuss the development of new semiconductor materials and approaches to overcome the fundamental limitations of well established (Al,In)GaAs/InP and InGaAsP/InP infrared-emitting lasers. We consider three approaches; dilute-nitride InGaAsN-based structures; InAs-based quantum dot/dash structures and the most recently emerging dilute-bismide (GaAsBi, InGaAsBi), all of which may be grown on either GaAs or InP substrates. These material systems provide a range of possibilities for band engineering and strain control, thereby giving new routes to improve device efficiency, overcoming existing limitations of device performance and to develop range of new cost-efficient devices with improved characteristics. However, all of these approaches have common difficulties related to establishing optimised growth conditions to produce high quality material for device fabrication. Particularly, in this paper we compare and contrast the effects of inhomogeneous carrier distribution in these systems and discuss the influence of this on the physical properties of lasers developed using these approaches.</p> <p>The authors dedicate this paper to the memory of Professor Naci Balkan (Essex) and Professor Jeff Hosea (Surrey) both of whom made significant contributions to the development of new semiconductor materials including the dilute nitrides and bismides as discussed in the paper. We are also pleased to acknowledge the many collaborators who have contributed to the development of the materials and devices considered in this work, including; Tyndall National Institute (Ireland), Philipps-Universität Marburg (Germany), University of Sheffield (UK), Universität Würzburg (Germany), Fujitsu Laboratories Ltd (Japan), Infineon Technologies AG (Germany) and the Center for Physical Sciences and Technology (Lithuania). We gratefully acknowledge funding from EPSRC (grants EP/H005587/1, EP/G064725/1, EP/N021037/1) and the EU-FP7 “BIANCHO” project (FP7-257974).</p>
Fig. 1 in Lack of well-maintained natural history collections and taxonomists in megadiverse developing countries hampers global biodiversity exploration
Fig. 1 Distribution of global biodiversity repositories (i.e. natural history collections including herbaria and university museums) in 17 biologically megadiverse countries in comparison with the rest of the world (blue); industrialized megadiverse countries (green) include Australia, China and the USA; the six emerging countries (red) are Brazil, India, Malaysia, Mexico, Philippines and South Africa; the eight megadiverse developing countries (yellow) comprise Colombia, the Democratic Republic of the Congo, Ecuador, Indonesia, Madagascar, Papua New Guinea, Peru and Venezuela. In the middle of each graph, total numbers of the respective biodiversity collection categories are given (sources: Biodiversity
Bose-Einstein Condensation of Light in a Semiconductor Quantum Well Microcavity
Open the record for dataset details and reuse information.
Figure 1 in Revision shock in Pacific oysters taxonomy: the genus Magallana (formerly Crassostrea in part) is well-founded and necessary
Figure 1. Phylogeny of Ostreidae redrawn from Salvi & Mariottini (2017) derived from (A) mitochondrial DNA sequences (COI + 16S rRNA), (B) nuclear DNA sequences (ITS2 rRNA + 28S rRNA) and (C) combined mitochondrial and nuclear DNA sequences (16S rRNA + COI + ITS2 + 28S rRNAs). Hyotissa hyotis and Neopycnodonte cochlear (Gryphaeidae) were used as outgroup. Maximum likelihood trees are shown, with bootstrap values (≥ 70) reported above the main nodes and Bayesian posterior probabilities (≥ 0.90) reported below the nodes. For methodological details see Salvi & Mariottini (2017).
Medsensio-Sanolla Cardiopulmonary Auscultation Dataset [MSCAD] - a dataset of lung & heart auscultation recordings as well as vitals data for COVID and chronic patients
<p>This is a comprehensive clinical database that contains information from confirmed COVID-19 patients, individuals who are at higher risk for severe COVID-19, and healthy patients. The data was collected as part of the [PyxY.ai project](https://pyxy.ai/), which is funded under the Horizon 2020 program. The dataset has been collected specifically to aid in the development of the PyXy.ai system.</p> <p>The dataset consists of two parts: first part contains 18497 auscultation recordings collected during 1875 encounters with 1333 patients (among the patients: 185 had COPD, 73 had Asthma, 33 had emphysema, 739 had hypertension, 123 had myocardial infarction, 213 had heart failure); the second part consists of 4547 audio recordings collected in 319 encounters with 319 patients (1 encounter per patient). In the first part, 60% of recordings corresponds to pulmonary auscultation (in standard locations: left and right: main bronchus, basal segment of lung, apical segment of upper lobe of lung), 40% to cardiac auscultation (aortic valve, pulmonary valve, tricuspid valve, mitral valve). In the second dataset 100% of recordings corresponds to pulmonary auscultation - this part contains solely pulmonary auscultation recordings. In case of both datasets some vitals data for patients is also provided (i.a., heart rate, blood pressure, pulse oximetry, body temperature). Audio recordings are provided in wav format, vitals data in CSV format as well as HL7 FHIR format.</p> <p>"Medsensio-Sanolla Cardiopulmonary Auscultation Dataset [MSCAD] - a dataset of lung & heart auscultation recordings as well as vitals data for COVID and chronic patients." (c) 2023 by Medsensio AS, Sanolla Ltd, Rudolf Riester GmbH, Helgeland hospital trust / Helgelandssykehuset HF, Philonmed GmbH, Benevit holding GmbH, Natali Ltd.</p> <p>"Medsensio-Sanolla Cardiopulmonary Auscultation Dataset [MSCAD] - a dataset of lung & heart auscultation recordings as well as vitals data for COVID and chronic patients." is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 Unported License.</p> <p>You should have received a copy of the license along with this work. If not, see <http://creativecommons.org/licenses/by-nc-sa/4.0/>.</p>
FIGURES 18–22. Acilius sinensis Peschet, 1915, instar II in Larval morphology and new records of the iconic diving beetle Acilius sinensis Peschet, 1915 (Coleoptera: Dytiscidae: Dytiscinae)-a species well established in western Yunnan, China
FIGURES 18–22. Acilius sinensis Peschet, 1915, instar II: 18. parietale, ventral aspect; 19. mandible, dorsal aspect; 20. maxilla, dorsal aspect; 21. metathoracic leg, anterior surface; 22. metathoracic leg, posterior surface. Scale bars = 0.5 mm (Fig. 18); 0.2 mm (Figs 21–22); 0.1 mm (Figs 19–20).
Fig. 5 in Antihypertensive phytocomplexes of proven efficacy and well-established use: Mode of action and individual characterization of the active constituents
Fig. 5. Isolated components of Elettaria cardamomum (L.) Maton extract characterized for antihypertensive activity.
Typical Russian wooden well
Source: Objaverse 1.0 / Sketchfab
Ashapura Well Bottom
Photogammetry of Ashapura Mata Stepwell in Ahmedabad Source: Objaverse 1.0 / Sketchfab
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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.