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615 results for “Tuning”
The role of population size in folk tune complexity
<p>Demography, particularly population size, plays a key role in cultural complexity. However, the relationship between population size and complexity appears to vary across domains: while studies of technology typically find a positive correlation, the opposite is true for language, and the role of population size in complexity in the arts remains to be established. Here, we investigate the relationship between population size and complexity in music using Irish folk session tunes as a case study. Using analyses of a large online folk tune dataset, we show that popular tunes played by larger communities of musicians have diversified into a greater number of different versions which encompass more variation in melodic complexity compared with less popular tunes. However, popular tunes also tend to be intermediate in melodic complexity and variation in complexity is lower than expected given the increased number of tune versions. We also find that user preferences for individual tune versions are more skewed in popular tunes. Taken together, these results suggest that while larger populations create more frequent opportunities for musical innovation, they encourage convergence upon intermediate levels of melodic complexity due to a widespread inverse U-shaped relationship between complexity and aesthetic preference. We explore the assumptions underlying our empirical analyses further using simple simulations of tune diffusion through populations of different sizes, finding that a combination of biased copying and structured populations appears most consistent with our results. Our study demonstrates a unique relationship between population size and cultural complexity in the arts, confirming that the relationship between population size and cultural complexity is domain-dependent, rather than universal.</p>
data for "On the tuning and performance of Stand-Alone Large-Power PV irrigation systems"
<p>These data were used in article "On the tuning and performance of Stand-Alone Large-Power PV irrigation systems" ( <a href="https://doi.org/10.1016/j.ecmx.2021.100175">https://doi.org/10.1016/j.ecmx.2021.100175</a>)</p>
Tuning topological spin textures in size-tailored chiral magnet insulator particles
<p>The file contains the raw data and code used for the paper entitled "Tuning topological spin textures in size-tailored chiral magnet insulator particles" by Priya R. Baral et al. to be published in Journal of Physical Chemistry C. </p> <p>Requests for further information can be directed to the corresponding author: Arnaud Magrez (arnaud.magrez 'at' epfl.ch) </p>
Sex-specific tuning of modular muscle activation patterns for locomotion in young and older adults
<p>There is increasing evidence that including sex as a biological variable is of crucial importance to promote rigorous, repeatable and reproducible science. In spite of this, the body of literature that accounts for the sex of participants in human locomotion studies is small and often produces controversial results. Here, we investigated the modular organization of muscle activation patterns for human locomotion using the concept of muscle synergies with a double purpose: i) uncover possible sex-specific characteristics of motor control and ii) assess whether these are maintained in older age. We recorded electromyographic activities from 13 ipsilateral muscles of the lower limb in young and older adults of both sexes walking (young and old) and running (young) on a treadmill. The data set obtained from the 215 participants was elaborated through non-negative matrix factorization to extract the time-independent (i.e., motor modules) and time-dependent (i.e., motor primitives) coefficients of muscle synergies. We found sparse sex-specific modulations of motor control. Motor modules showed a different contribution of hip extensors, knee extensors and foot dorsiflexors in various synergies. Motor primitives were wider (i.e., lasted longer) in males in the propulsion synergy for walking (but only in young and not in older adults) and in the weight acceptance synergy for running. Moreover, the complexity of motor primitives was similar in younger adults of both sexes, but lower in older females as compared to older males. In essence, our results revealed the existence of small but defined sex-specific differences in the way humans control locomotion and that these strategies are not entirely maintained in older age.</p> <p>In this supplementary data set we made available: a) the metadata with anonymized participant information; b) the raw EMG, already concatenated for the overground trials; c) the touchdown and lift-off timings of the recorded limb, d) the code to process the data. In total, 520 trials from 215 participants are included in the supplementary data set.</p> <p>The file “metadata.dat” is available in ASCII format and contains:</p> <ul> <li>Code: the participant’s code</li> <li>Group: the participant's group (G1=young adults, walking; G2=old adults, walking; G3=young adults, running)</li> <li>Sex: the participant’s sex (M or F)</li> <li>Locomotion: the type of locomotion (walking or running)</li> <li>Speed: the speed at which the recordings were conducted in [m/s]</li> <li>Speed_type: the distinction between fixed (decided by the researchers) or preferred (selected by the participant) speed</li> <li>Age: the participant’s age in years</li> <li>Height: the participant’s height in [cm]</li> <li>Mass: the participant’s body mass in [kg].</li> </ul> <p>The "RAW_DATA.RData" R list consists of elements of S3 class "EMG", each of which is a human locomotion trial containing cycle segmentation timings and raw electromyographic (EMG) data from 13 muscles of the right-side leg. Cycle times are structured as data frames containing two columns that correspond to touchdown (first column) and lift-off (second column). Raw EMG data sets are also structured as data frames with one row for each recorded data point and 14 columns. The first column contains the incremental time in seconds. The remaining 13 columns contain the raw EMG data, named with the following muscle abbreviations: ME = gluteus medius, MA = gluteus maximus, FL = tensor fasciæ latæ, RF = rectus femoris, VM = vastus medialis, VL = vastus lateralis, ST = semitendinosus, BF = biceps femoris, TA = tibialis anterior, PL = peroneus longus, GM = gastrocnemius medialis, GL = gastrocnemius lateralis, SO = soleus. Trials are named like “ID0020_M_YOUNG_TW_01,” where the characters “ID0020” indicate the participant number (in this example the 20th), the character “M” indicates the sex, the characters “YOUNG” indicate the age group, the characters “TW” indicate the locomotion type and environment (T=treadmill, W=walking, R=running), and the numbers “01” indicate the trial number.</p> <p><strong>Old versions not compatible with the R package <a href="https://CRAN.R-project.org/package=musclesyneRgies">musclesyneRgies</a></strong></p> <p>The files containing the gait cycle breakdown are available in RData format, in the file named “CYCLE_TIMES.RData”. The files are structured as data frames with one row for each gait cycle and two columns. The first column contains the touchdown incremental times in seconds. The second column contains the duration of each stance phase in seconds. Each trial is saved as an element of a single R list. Trials are named like “CYCLE_TIMES_ID0020_M_YOUNG_TW_01,” where the characters “CYCLE_TIMES” indicate that the trial contains the gait cycle breakdown times, the characters “ID0020” indicate the participant number (in this example the 20th), the character “M” indicates the sex, the characters “YOUNG” indicate the age group, the characters “TW” indicate the locomotion type and environment (T=treadmill, W=walking, R=running), and the numbers “01” indicate the trial number.</p> <p>The files containing the raw, filtered, and the normalized EMG data are available in RData format, in the files named “RAW_EMG.RData” and “FILT_EMG.RData”. The raw EMG files are structured as data frames with one row for each recorded data point and 14 columns. The first column contains the incremental time in seconds. The remaining 13 columns contain the raw EMG data, named with the following muscle abbreviations: ME = gluteus medius, MA = gluteus maximus, FL = tensor fasciæ latæ, RF = rectus femoris, VM = vastus medialis, VL = vastus lateralis, ST = semitendinosus, BF = biceps femoris, TA = tibialis anterior, PL = peroneus longus, GM = gastrocnemius medialis, GL = gastrocnemius lateralis, SO = soleus. Each trial is saved as an element of a single R list. Trials are named like “RAW_EMG_ID0003_F_OLD_TW_01”, where the characters “RAW_EMG” indicate that the trial contains raw emg data, the characters “ID0003” indicate the participant number (in this example the 3rd), the character “F” indicates the sex, the characters “OLD” indicate the age group, the characters “TW” indicate the locomotion type and environment (see above), and the numbers “01” indicate the trial number.</p> <p>All the code used for the pre-processing of EMG data and the extraction of muscle synergies is available in R format. Explanatory comments are profusely present throughout the script “muscle_synergies.R”. The latest version of this code can be found at https://github.com/alesantuz/musclesyneRgies.</p>
Data for the article "Tuning Spin-Orbit Torques Across the Phase Transition in VO2/NiFe Heterostructure"
<p>Data for the article "Tuning Spin-Orbit Torques Across the Phase Transition in VO2/NiFe Heterostructure" (<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.202111555">https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.202111555</a> and <a href="http://arxiv.org/abs/2201.12984">http://arxiv.org/abs/2201.12984</a>)</p>
Additional Sponge Rheology Data for "Rheology of Marine Sponge Tissue Reveals Anisotropic Mechanics and Tuned Dynamics"
<p>These plots further support the general conclusions of the manuscript "Rheology of Marine Sponge Tissue Reveals Anisotropic Mechanics and Tuned Dynamics". These data were collected on a Kinexus rheometer and the sponges were from a distinct shipment of sponges than those presented in the main manuscript. </p>
Data used in article 'Tuning Charge Carrier Dynamics and Surface Passivation in Organolead Halide Perovskites with Capping Ligands and Metal Oxide Interfaces'
<p>Data underlying the article 'Tuning Charge Carrier Dynamics and Surface Passivation in Organolead Halide Perovskites with Capping Ligands and Metal Oxide Interfaces' published in Advanced Optical Materials.</p>
How to tune luminescent Cu(I) complexes with strong donor carbenes towards TADF?
<p>Theoretical and spectroscopic data of the investigated Cu(I) NHC <span>complexes </span><span>with the anionic carbene An6DAC </span>and other pyridine-derived ligands. <span>This study provides a detailed overview of the possibilities of targeted molecular design to selectively address desirable optical properties, especially thermally activated delayed fluorescence (TADF).</span></p> <p>The theoretical data include high-level DFT/MRCI calculations. The spectroscopic data include steady-state and temperature-dependent time-resolved luminescence measurements on different time scales (ns, µs, ms).</p> <p><strong>Author Contributions</strong></p> <p>Conceptualization: C. M. M. and M. S.; Methodology: J. G., D. S., P. S., S. F., R. K., M. S.; Validation: J. G., D. S., P. S.; Formal analysis: J. G., D. S., P. S., S. F., R. K., M. S.; Investigation: J. G., D. S., P. S. M. S; Data curation: J. G., D. S., P. S., S. F., R. K.; Writing – original draft preparation: J. G., D. S., P. S., C. M. M., M. S.; Writing – review and editing: J. G., D. S., P. S., R. K., C. G., C. A. M. S., C. M. M., M. S.; Visualization: J. G., D. S., P. S.; Project administration: C. G., C. A. M. S., C. M. M., M. S.; Funding acquisition: C. G., C. A. M. S., C. M. M., M. S.</p>
Long-lived magnetization in an atomic spin chain tuned to a diabolic point
<p>This is the OpenData Folder for the paper under the same name.</p>
Figure2. Generation of negative feedbacks gets tuned once a TCR completes stimulation beyond the threshold l. A TCell generates activation signal to BCell once it gets stimulation of its k-TCRs.-AIDEN: A Density Conscious Artificial Immune System for Automatic Discovery of Arbitrary Shape Clusters in Spatial Patterns
<p>A TCR at position p is stimulated if rp (x) - rn(x) > l. Figure 1 depicts this process. When a T<br> Cell receives stimulations on more than k receptors, it generates activation signal to a B Cell, as<br> represented in Figure2.</p>
Data set for Sicoli et al. - Conformational tuning of a DNA-bound transcription factor
<p>The data set contains NMR, EPR and MD data. The NMR folder contains 1H-15N correlation NMR data of DNA-bound MAX with a paramagnetic MTSL spin label at position 5, with a chemically reduced, diamagnetic spin label, respectively. The EPR folder contains DEER data of MAX for three difference labeling positions R5C, G35C and R55C, with and without bound DNA. The MD folder contains MD trajecrories at three different temperatures, 310 K, 320 K and 330 K. Further details can be found in the readme.txt files in the respective folders.</p>
Hyperparameter tuning and performance assessment of statistical and machine-learning models using spatial data.
<p>This is a research compendium (RC) for the publication "Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data".</p> <p>The code (including figures, appendices and the manuscript) is packed in <strong>pathogen-modeling-3.zip </strong>or can be found directly in the <a href="https://github.com/pat-s/pathogen-modeling">Github repository</a>.</p> <ul> <li><strong>Publication figures</strong>: analysis/paper/submission/3/latex-source-files/</li> <li><strong>Appendices</strong>: analysis/paper/submission/3/</li> </ul> <p>This RC represents a static snapshot at the time of submission. The Github repository will receive changes after the publication was published.</p> <p><strong>Data sources</strong></p> <ul> <li>Atlas Climatico: <a href="http://opengis.uab.es/wms/iberia/index.htm">http://opengis.uab.es/wms/iberia/index.htm</a></li> <li>DEM: ftp://ftp.geo.euskadi.eus/lidar/MDE_LIDAR_2016_ETRS89/</li> <li>Lithology: <a href="http://www.geo.euskadi.eus/geonetwork/srv/spa/main.home">http://www.geo.euskadi.eus/geonetwork/srv/spa/main.home</a></li> <li>pH: <a href="https://esdac.jrc.ec.europa.eu/content/soil-ph-europe#tabs-0-description=0">https://esdac.jrc.ec.europa.eu/content/soil-ph-europe#tabs-0-description=0</a></li> <li>soil: <a href="https://www.isric.org/explore/soilgrids">https://www.isric.org/explore/soilgrids</a></li> </ul> <p><strong>Licenses</strong></p> <p>All files are shared via the given license with the exception of "soil.tif" which is shared via the <strong>ODbL </strong>license<strong>.</strong></p>
Transfer fine-tuned BERT models by paraphrases
<p>Transfer fine-tuned BERT models by phrasal paraphrases. </p> <ul> <li>transferFT_bert-base-uncased.pkl bases on the bert-base-uncased model</li> <li>transferFT_bert-large-uncased.pkl bases on the bert-large-uncased model</li> </ul> <p>For usage, please refer to our GitHub page.</p> <p><a href="https://github.com/yukiar/TransferFT">https://github.com/yukiar/TransferFT</a></p> <p>For details of these models, please refer to our paper.</p> <p>Yuki Arase and Junichi Tsujii. 2019. Transfer Fine-Tuning: A BERT Case Study. in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2019).</p> <p><a href="https://arxiv.org/abs/1909.00931">https://arxiv.org/abs/1909.00931</a></p>
Electrochemical data plotted in A. Fasano, C. Guendon, A. Jacq-Bailly, A. Kpebe, J. Wozniak, C. Baffert, M. del Barrio, V. Fourmond, M. Brugna, C. Léger , « A chimeric NiFe hydrogenase heterodimer to assess the role of the electron transfer chain in tuning the enzyme's catalytic bias and oxygen tolerance », J. Am. Chem. Soc. 145, 36, 20021–20030 (2023). doi: 10.1021/jacs.3c06895
<p>Text file of all the electrochemical data shown in the following paper: A. Fasano, C. Guendon, A. Jacq-Bailly, A. Kpebe, J. Wozniak, C. Baffert, M. del Barrio, V. Fourmond, M. Brugna, C. Léger , « A chimeric NiFe hydrogenase heterodimer to assess the role of the electron transfer chain in tuning the enzyme's catalytic bias and oxygen tolerance », J. Am. Chem. Soc. 145, 36, 20021–20030 (2023). <a href="dx.doi.org/10.1021/jacs.3c06895" target="_blank" rel="noopener">doi: 10.1021/jacs.3c06895</a></p>
data for Tuning the interlayer coupling in La0.7Sr0.3Mn0.95Ru0.05O3 LaNiO3 multilayers with perpendicular magnetic ansiotropy
<p>Here we upload the data for the manuscript "Tuning the interlayer coupling in<br>La0.7Sr0.3Mn0.95Ru0.05O3 / LaNiO3 multilayers with perpendicular magnetic anisotropy". The data underlying the figures of the main text and supplement materials are provided as txt files and embedded origin graphs. Hall voltage and Kerr ellipticity for the trilayers (Fig 2), reference samples (SFig2), SQUID for the multilayer (Fig 4, SFig6, SFig7), LSAT substrate (SFig3 and SFig 4), minor hysteresis loop of the multilayer (SFig 5), and XMCD for the multilayer (Fig 5, SFig 6).</p>
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
<p>Biomedical Dataset (”BioLeaflets”) for the paper "Biomedical Data2Text Generation via fine-tuning transformers" (INLG'21)</p>
Flow Cytometry data from: "The EMT transcription factor Zeb1 is essential for HSPC differentiation that acts synergistically with Zeb2 in fine-tuning hematopoietic lineage fidelity"
<p>Abstract:</p> <p>The Zeb2 transcription factor has been demonstrated to play important roles in hematopoiesis and leukemic transformation. Zeb1 is a close family member of Zeb2 but has remained more enigmatic concerning its roles in hematopoiesis. Here we show using conditional loss of function approaches and bone marrow reconstitution experiments that Zeb1 plays cell autonomous role in hematopoietic lineage differentiation, particularly as a positive regulator of monocyte development in addition to its previously reported important role in T-cell differentiation. Analysis of existing single cell RNAseq data of early hematopoiesis has revealed distinctive expression differences between Zeb1 and Zeb2 in HSPC differentiation with Zeb2 being more highly and broadly expressed that Zeb1 except at a key transition point (ST-HSCàMPP1) whereby Zeb1 appears to be the dominantly expressed family member. Inducible deletion of both Zeb1 and Zeb2 using a tamoxifen inducible Cre-mediated approach leads to acute bone marrow failure at this transition point with increased long-term and shortterm hematopoietic stem cell numbers and an accompanying decrease in all hematopoietic lineage differentiation. Bioinformatics analysis of RNAseq data has revealed that Zeb2 acts predominantly as a transcriptional repressor involved in restraining mature hematopoietic lineage gene expression programs from being expressed too early in hematopoietic stem and progenitor cells (HSPCs). Zeb1 appears to fine tune this repressive role during hematopoiesis to ensure hematopoietic lineage fidelity. Analysis of ROSA26 locus based transgenic models has revealed that Zeb1 as well as Zeb2 overexpression within the hematopoietic system can drive extramedullary hematopoiesis/splenomegaly and enhanced monocyte development. Finally, deletion of Zeb2 alone or Zeb1/2 together was found to enhance survival in secondary MLL-AF9 AML models attesting to the oncogenic role of Zeb1/2 in AML.</p> <p> </p> <p>Flow cytometric and Hematocrit analysis methods: </p> <p><br> Cells were stained with antibodies listed in the provided Supplemental Table (Antibodies.xlsx) according to the manufacturer guidelines. Flow cytometric analyses were performed on the LSRII and Fortessa X-20 cytometer (BD Biosciences) and the results were analysed by FACSDiva or FlowJo software (BD Biosciences). Cells for MLL-AF9 experiments and RNA-seq were stained and sorted on Influx or FACSAria Fusion sorters (BD Biosciences) at AMREP Flow Cytometry Core Facility and FlowCore, Monash University. <br> Submandibular blood samples were collected into EDTA-coated tubes, and hematology parameters were measured using a HemaVet 950FS automated blood analysis machine (Drew Scientific).</p>
Dataset for "Fine-Tuning A Robust Metal–Organic Framework Towards Enhanced Clean Energy Gas Storage"
<p>Dataset covering the DFT simulations performed for the journal article "Fine-Tuning A Robust Metal–Organic Framework Towards Enhanced Clean Energy Gas Storage"</p>
Geometric latches enable tuning of ultrafast, spring-propelled movements
<p>The smallest, fastest, repeated-use movements are propelled by power-dense elastic mechanisms, yet the key to their energetic control may be found in the latch-like mechanisms that mediate transformation from elastic potential energy to kinetic energy. Here we test how geometric latches enable consistent or variable outputs in ultrafast, spring-propelled systems. We constructed a reduced-order mathematical model of a spring-propelled system that uses a torque reversal (over-center) geometric latch. We parameterized the model to match the scales and mechanisms of ultrafast systems, specifically snapping shrimp. We simulated geometric and energetic configurations that enabled or reduced variation of their strike durations and dactyl rotations given variation of stored elastic energy and latch mediation. We then collected an experimental dataset of the energy storage mechanism and ultrafast snaps of live snapping shrimp (<em>Alpheus</em> <em>heterochaelis</em>) and compared our simulations to their configuration. We discovered that snapping shrimp store elastic energy through deformation of the propodus exoskeleton. Regardless of the amount of variation in spring loading duration, strike durations were far less variable than spring loading durations. When we simulated this species' morphological configuration in our mathematical model, we found that the low variability of strike duration is consistent with their torque reversal geometry. Even so, our simulations indicate that torque reversal systems can achieve either variable or invariant outputs through small adjustments to geometry. Our combined experiments and mathematical simulations reveal the capacity of geometric latches to enable, reduce, or enhance variation of ultrafast movements in biological and synthetic systems. </p>
Matrices for a plate with tuned vibration absorbers
<p>Matrices for a numerical model of an aluminum plate equipped with tuned vibration absorbers (TVA).</p> <p>For usage see RUNME.m and the <a href="http://modelreduction.org/index.php/Plate_with_tuned_vibration_absorbers">MOR Wiki</a>.</p> <p>Version history:</p> <ul> <li>1.0: Initial release</li> <li>1.1: Added RUNME.py</li> </ul>
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