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38 results for “current limitation”
Measurement data of a three-phase grid-side converter with a grid-forming synchronverter-based control method with current limitation
<p>The data set was recorded for a publication currently undergoing the submission process. The published data correspond to the data presented in the figures. The first column represents the time vector. All other columns are linked to the corresponding scenario by an identifier in the column name. The column name also contains the name of the recorded signal and the associated unit. The naming convention is <identifier_to_figure>_<recorded_signal>_<unit>.</p>
DATASETS - Pervasive iron limitation at subsurface chlorophyll maxima of the California Current
<p>R and Python code for processing these datasets are available from: 10.5281/zenodo.1495504</p> <p><strong>Abstract: </strong>Subsurface chlorophyll maximum layers (SCMLs) are nearly ubiquitous in stratified water columns and exist at horizontal scales ranging from the submesoscale to the extent of oligotrophic gyres. These layers of heightened chlorophyll and/or phytoplankton concentrations are generally thought to be a consequence of a balance between light energy from above and a limiting nutrient flux from below, typically nitrate (NO3). Here we present multiple lines of evidence demonstrating that iron (Fe) limits or with light colimits phytoplankton communities in SCMLs along a primary productivity gradient from coastal to oligotrophic offshore waters in the southern California Current ecosystem. SCML phytoplankton responded markedly to added Fe or Fe/light in experimental incubations and transcripts of diatom and picoeukaryote Fe stress genes were strikingly abundant in SCML metatranscriptomes. Using a biogeochemical proxy with data from a 40-y time series, we find that diatoms growing in California Current SCMLs are persistently Fe deficient during the spring and summer growing season.We also find that the spatial extent of Fe deficiency within California Current SCMLs has significantly increased over the last 25 y in line with a regional climate index. Finally, we show that diatom Fe deficiency may be common in the subsurface of major upwelling zones worldwide. Our results have important implications for our understanding of the biogeochemical consequences of marine SCML formation and maintenance.</p>
Biodiversity patterns of epipelagic copepods in the South Pacific Ocean: Strengths and limitations of current data bases
<p>These data were used for the development of the paper "<strong>Biodiversity patterns of epipelagic copepods in the South Pacific Ocean: Strengths and limitations of current data bases</strong>". Especifically, we added ecological and environmental data that were used for modeling.</p>
Measurements, from CCE LTER process cruises in the California Current region, of dissolved inorganic concentrations of nutrient iron and of iron limitation at selected stations and depths, 2006 - 2021 (ongoing).
Measurements are made of dissolved iron, total iron and the potential for phytoplankton iron limitation on CCE LTER Process cruises (since 2006, ongoing) in coastal transition zones of the southern California Current System. This is a weak upwelling regime that is relatively low in nutrients and chlorophyll. Changes in phytoplankton (Chla response to Fe+) and nutrient parameters upon iron addition are also investigated.
Testing strengths, limitations and biases of current Pulsar Timing Arrays detection analyses on realistic data
<p>In this project, we carried out an extensive investigation of the performance of current Pulsar Timing Arrays (PTA) analyses on simulated PTA datasets where we modeled the gravitational waves (GW) signal as the incoherent superposition of sinusoidal signals from a cosmic population of super-massive black hole binaries (SMBHBs). Here we publish the dataset referred to in the paper as the <em><strong>SMBHB_set</strong></em>: 100 realisations of PTA datasets with 25 pulsars and a GWB signal of nominal amplitude 2.4e-15. For each realisation, listed from 1001 to 1100, this repository contains the pulsars .par and .tim files, the mcmc chain (sampling over 66 parameters: 60 for pulsars intrinsic noise parameters and log amplitude and slope of a common red noise process), and the SMBHB details for that specific realisation of the GWB. The columns of the <em>MBHB_list.dat</em> files contain (from left to right): log10 MBH chirp mass (in solar masses in the source frame), mass ratio, source redshift, log10 of GW fundamental mode (n=2) in the observer frame, phi and theta angles in the sky, source inclination angle, source polarisation angle, source initial orbital phase, source initial direction of periastron and source initial eccentricity.</p> <p>If you make use of any of this data, please cite:<br><br></p> <div>@article{ refId0,</div> <div> author = {{Valtolina, Serena} and {Shaifullah, Golam} and {Samajdar, Anuradha} and {Sesana, Alberto}},</div> <div> title = {Testing strengths, limitations, and biases of current pulsar timing arrays’ detection analyses on realistic data},</div> <div> DOI= "10.1051/0004-6361/202348084",</div> <div> url= "https://doi.org/10.1051/0004-6361/202348084",</div> <div> journal = {A&A},</div> <div> year = 2024,</div> <div> volume = 683,</div> <div> pages = "A201",</div> <div>}</div>
Fig. 5 in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 5. Four nest localities of Java sparrow in the study area; nurse dormitory of Bhumipol Hospital (1), Air Force Youth Club (2), Air Force Museum (3) and Phaholyothin 69/1 alley (4). Java sparrows were mostly found nesting in (1) and (3). All sites were located <1.5 km from Don Muang Airport. (1), (2) and (3) were located on the eastern side of Don Muang Airport and (4) was located to the south-west.
Fig. 6. There were 39 in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 6. There were 39 nest sites at Bhumibol Hospital, 22 sites at the Royal Thai Air Force Museum, 3 at the Thai Air Force Youth Club and 3 at Phahonyothin Soi 69/1. Birds mostly located their nests in cavities in the ceilings of buildings or in openings of air ducts.
Fig. 3. Within the 15 occupied cells, 6 cells had a in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 3. Within the 15 occupied cells, 6 cells had a percentage of paddyfield cover <1%, 6 cells had 1–20% paddyfield cover and 3 cells had 20–40% paddyfield cover. For the 26 cells with no detections, 16 had a percentage of paddyfield cover <1%, 7 cells had 1–20% paddyfield cover and 3 cells had 20–40% paddyfield cover.
Fig. 2. Forty-one grid cells randomly set within a 10 in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 2. Forty-one grid cells randomly set within a 10-km radius around Don Muang airport, Bangkok, Thailand, used for surveying Java sparrows. Don Muang was the site where Java sparrows were first recorded in Thailand in 1924. The study area includes three provinces; Bangkok, Pathum Thani, and Nonthaburi. The primary land use was urban, while paddyfields were mostly located on the eastern side of the study area. Different symbols (circles, squares and triangles) represent the number of occasions (out of 5 possible visits to a location) on which the sparrow was detected. Size of symbols of Java sparrow detection points was related to the number of birds detected; smallest size indicated only 1 bird was detected, medium size indicated 2–10 birds were detected, and largest size indicated a group of more than 40 birds was detected.
Fig. 1. 101 in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 1. 101 grid cells (400 ha each) were overlaid on the study area (40,000 ha). We randomly selected approximately 40% (41) (green) of 98 accessible grid cells in total. Access to three grid cells (red) in the middle of study area including Don Muang International Airport were restricted by the Thai Air Force.
Fig. 4 in Factors limiting the current distribution of the introduced Java sparrow (Lonchura oryzivora) in Bangkok, Thailand
Fig. 4. Number of Java sparrows counted at the two main roosting sites in Bangkok, Thailand, each site was counted once per month from August 2016 to July 2017. Lowest and highest counts (33 and 2132 individuals) were obtained from the Kan Kheha Thung Song Hong (KKTSH) roost (dashed line). Lowest counts at KKTSH were in August–September 2016. The roosting site at Chaeng Wattana (solid line) had a lower number of birds but may have received some birds from KKTSH during the first two months of the count.
Experimental Verification of Nonlinear Effects in Peak Limiting Current Mode Controlled Boost Converter
<p>Compressed file contains results of experimental verification of nonlinear effects in peak limiting current mode controlled boost converter. Circuit diagrams are given in files <strong>power.pdf</strong> and <strong>control.pdf</strong> in the root directory. Directories</p> <p><strong>M-2019-05-02-8kHz-12V</strong></p> <p><strong>M-2019-05-02-8kHz-17V</strong></p> <p><strong>M-2019-05-02-8kHz-24V</strong></p> <p><strong>M-2019-05-02-8kHz-29V</strong></p> <p>contain the experimental results for Vout=12V, Vout=17V, Vout=24V, and Vout=29V. Each directory contains .npy files with numerical data, figures recorded by the oscilloscope, figure that depicts measured output current of the converter as it depends on the assigned control voltage, and programs that controlled the measurements. Out of 15009 files in each directory 15003 files are oscilloscope recordings, <strong>Iout.npy</strong> contains measured output current data, <strong>Vg.npy</strong> contains assigned control voltage data, <strong>figure.py</strong> is a Python 2 program used to plot Iout(Vg), which is stored in <strong>figure-xy.pdf</strong> (xy stands for the actual output voltage), while <strong>oscusb.py</strong> and <strong>overjm.py</strong> are programs used to control the experiment. Experiments are controlled by a computer running under GNU/Linux operating system.</p>
Analysis of Nonlinear Effects in Peak Limiting Current Mode Controlled Converters
<p>This compressed file contains simulation programs, simulation results, figures that depict the results, as well as the animations that illustrate nonlinear effects in peak limiting current mode controlled converters. The simulations are performed using Python 2 programming language using pylab environment (numpy, scipy, matplotlib, ipython) under Ubuntu 18.04 operating system.</p>
[Bmim]Cl limiting current density - NCN project SONATA-17, grant no. 2021/43/D/ST8/02776.
<p><span>Dataset contains results obtained during the NCN project SONATA-17, grant no. </span><span>2021/43/D/ST8/02776</span><span>. The file presents results of the influence of [Bmim]<sup>+</sup> ion concentration and linear flow velocity on the limiting current density during electrodialysis process.</span></p>
Virus Finding Tools: current solutions and limitations - Synthetic datasets
<p>The simulated RNA-seq datasets were built using FluxSimulator to generate paired-end reads. The first one contains thirty viral genomes from NCBI and the human genome (version GRCh38). The second dataset comprises five Human Rhinovirus A1, five Human Papillomavirus 16, and the human genome (version GRCh38).</p> <p>Concerning the first dataset, we chose the genomes to mix human, animal, and vegetable viruses for a fair analysis of each tool's reliability. Instead, the second dataset was created to understand the capability of each tool to assess the taxonomic level and the specificity of viral identification.</p> <p>We downloaded the genomes of the selected viruses from NCBI nucleotide, getting the FASTA file and the GFF3 annotation. Next, we used AGAT to transform the GFF3 files into GTF files. After that, we used FluxSimulator to generate a synthetic RNA-seq dataset for each species. Finally, we joined each simulated dataset to build a single RNA-seq sample. The number of reads generated for each species was chosen to act as a real sample.</p> <p>For each dataset, we include two compressed archives. The "*_fastq_files.tar" files contain the synthetic fastq files generated by FluxSimulator. The "*_raw_results.tar" files contain all the raw output produced by the tools employed in our benchmarking.</p> <p>The selected viruses for the first dataset are Human rhinovirus 1 strain ATCC VR-1559, Human Rhinovirus 3, Tomato mosaic virus, Molluscum contagiosum virus subtype 1, Apple mosaic virus RNA 3, Encephalomyocarditis virus, Human papillomavirus 52 isolate 52HB20, Hepatitis C virus genotype 1, Human papillomavirus type 31, Human papillomavirus type 54, JC polyomavirus, Marine RNA virus SF-2, Marine RNA virus JP-B, Hepatitis A virus, Human immunodeficiency virus 1, Anguillid herpes virus strain UK N080, Apis mellifera virus 14 isolate BFH508NG, Human enterovirus, Escherichia phage T7 isolate T7, Human herpesvirus 6B, Human measles virus, Cyprinid herpesvirus 3, Rotavirus C segment 8, Japanese encephalitis virus, Human papillomavirus 116, Influenza A virus (A/New York/392/2004(H3N2)) segment 4, Rotavirus RCU, Human parvovirus B19, Rous Sarcoma, Human papillomavirus 16.</p> <p>The selected strains and isolates for the second dataset are Human rhinovirus 1 strain ATCC VR-1559, Rhinovirus A1 strain 7A2, Rhinovirus A1 strain 5Q1, Rhinovirus A1 strain RvA1B/USA/2021/RJ9JKH, Rhinovirus A1 strain RvA1/USA/2021/L8MQLH, Human papillomavirus type 16, Human papillomavirus type 16 isolate 16CN37, Human papillomavirus type 16 isolate 16CN34, Human papillomavirus type 16 strain MML8, Human papillomavirus type 16 strain MML20.</p> <p>The tools employed in our benchmarking are VirusFinder, VirusSeq, VirTect, viGEN, VirDetect, DAMIAN, Metamap, Kraken2, Centrifuge.</p>
EXPLORING THE CAPABILITIES AND LIMITATIONS OF DEEP LEARNING IN HEALTHCARE SECTORS IN INDIA: A REVIEW OF CURRENT TRENDS, page 1-10
<p> </p> <p><strong>Learnet Publishing ( Publisher) </strong></p> <p>Conference Volume : ARTIFICIAL INTELLIGENCE (AI) – APPLICATIONS & MISAPPLICATIONS 2024" (ISBN No.: 978-81-957591-7-0) </p> <p>Paper title : <em><strong>EXPLORING THE CAPABILITIES AND LIMITATIONS OF DEEP LEARNING IN HEALTHCARE SECTORS IN INDIA: A REVIEW OF CURRENT TRENDS</strong></em></p> <p><strong>Authors </strong><br>Suvendu Narayan Roy<br>Director, Knowgen Education Services Private Limited<br>Researcher, Faculty of Finance & Management<br>Orcid id : https://orcid.org/0000-0002-2801-0740<br>Soham Roy<br>Researcher & Partner, E & O Learnet and Learnet Manpower Solutions<br>Orcid id : https://orcid.org/0000-0002-3127-608</p>
Heat tolerance limits of Mediterranean songbirds and their current and future vulnerabilities to temperature extremes
<p>Songbirds are one of the groups most vulnerable to extreme heat events. Although several recent studies have assessed their physiological responses to heat, most of them have focused on arid-zone species solely. We investigated thermoregulatory responses to heat in eight small-sized songbirds occurring in the Mediterranean Basin, where heatwaves are becoming more frequent and intense. Specifically, we determined their heat tolerance limits (HTL) and evaporative cooling efficiency and evaluated their current and future vulnerabilities to heat in southwestern Iberia, a Mediterranean climate warming hotspot. To do this, we exposed birds to an increasing profile of air temperatures (Ta) and measured resting metabolic rate (RMR), evaporative water loss (EWL), evaporative cooling efficiency (the ratio between evaporative heat loss and metabolic heat production) and body temperature (Tb). HTL ranged between 40 and 46°C across species, and all species showed rapid increases in RMR, EWL and Tb in response to increasing Ta. However, only the crested lark Galerida cristata achieved an evaporative cooling efficiency greater than 1. The studied songbirds currently experience summer Ta maxima that surpass their upper critical temperatures of their thermoneutral zone and even their HTL. Our estimates indicated that five of the eight species will experience moderate risk of lethal dehydration by the end of the century. We argue that the limited heat tolerance and evaporative cooling efficiency of small-sized Mediterranean songbirds make them particularly vulnerable to heatwaves, which will be exacerbated under future climate change scenarios.</p>
Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
<p>The vast variation in floral traits across angiosperms is often interpreted as the result of adaptation to pollinators. However, studies in wild populations often find no evidence of pollinator-mediated selection on flowers. Evolutionary theory predicts this could be the outcome of periods of stasis under stable conditions, followed by shorter periods of pollinator change that provide selection for innovative phenotypes. We asked if periods of stasis are caused by stabilizing selection, absence of other forms of selection, or by low trait ability to respond even if selection is present. We studied a plant predominantly pollinated by one bee species across its range. We measured heritability and evolvability of traits, using genome-wide relatedness in a large wild population, and combined this with estimates of selection on the same individuals. We found evidence for both stabilizing selection and low trait heritability as potential explanations for stasis in flowers. The area of the standard petal is under stabilizing selection, but the variability is not heritable. A separate trait, floral weight, presents high heritability, but is not currently under selection. We show how a simple pollination environment coincides with the absence of current prerequisites for adaptive evolutionary change, while heritable variation remains to respond to future selection pressures.</p>
FEDORA. Corpus of literature review on limits and potential of the current organization of knowledge in disciplines
<p>Coded segments for literature review in FEDORA project (Grant Agreement no. 872841), WP1 tasks T1.1, T1.3, T1.6, T1.7. Manually coded segments by 4 coders that were extracted from MAXQDA file are based on the following topics:</p> <p>1. Potential and limits of the vertical disciplinary organization<br> 1.1. What skills are formed?<br> 1.2. What new skills are needed?<br> 1.3. Diversity-responsiveness of the current organization<br> 2. Suggestions to improve (all types of suggestions)<br> 2.1. Other forms of knowledge organization<br> 2.1.1. What thinking skills are they fostering?<br> 2.1.1.1. Are they fostering skills that are needed to citizens and professionals to participate in inter-multi-transdisciplinary, multi-actor and open contexts of RI?<br> 2.1.1.2. What are these skills?<br> 2.1.2. What barriers in implementation of suggestions to improve/other forms of knowledge organisation do stakeholders perceive and anticipate?<br> 2.1.3. How can the universities and schools be supported in order to break down the barriers?<br> 2.2. Forms of co-teaching and open-schooling<br> 2.2.1. Are they effective?<br> 3. The ways the young perceive, experience and cope with science and technology, their future and the range of motives<br> 4. Criteria for designing and/or revising teaching materials and activities for 11-19 year old students<br> 5. Examples of inter-multi-transdisciplinary teaching materials<br> 6. Examples of multi-actor co-teaching and open-schooling contexts<br> 7. Operational markers aimed to evaluate the impact of the inter-multi-transdisciplinary materials on students’ perception and engagement</p> <p>To note, only citations for code groups 1 - 2.1 are presented in this document.</p>
Data from: Quantitative genetic analysis of floral traits shows current limits but potential evolution in the wild
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