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Picture of Walter Nold Mathis at “Villa Finaleâ€
No full textPicture of Walter Nold Mathis at “Villa Finaleâ
Images and voices from digital Africa: An interview about the film documentary “Digital Africa” with Elke Sasse
Get PDFFor the film documentary “Digital Africa” Elke Sasse, together with her colleague Bettina Haasen, has journeyed through Kenya, Rwanda, Congo and Ghana. Elke Sasse spoke with Mathis Walter for TATuP about African implementations and usages of information and communications technology (ICT).For the film documentary “Digital Africa” Elke Sasse, together with her colleague Bettina Haasen, has journeyed through Kenya, Rwanda, Congo and Ghana. Elke Sasse spoke with Mathis Walter for TATuP about African implementations and usages of information and communications technology (ICT)
Chapter 3: Early Detection in Schizophrenia: a population health Approach. Authors: Maria Ferrara, Walter Mathis, John Cahill, Jessica Pollard, Vinod Srihari. In Intervening Early in PSYCHOSIS. A Team Approach.
No full textA growing body of both research and clinical experience confirms that intervening early in the progression of psychotic symptoms may delay or even prevent the movement toward more serious psychiatric illness. Young people at clinical high risk of developing psychosis, or those with a recent onset of psychosis, can benefit from a range of tailored interventions each emphasizing recovery and return to functioning.
Achieving recovery and remission for people experiencing psychosis requires a multifaceted, team-based response, and it is precisely this sort of a holistic approach Intervening Early in Psychosis: A Team Approach provides. With expert guidance on tailoring care to the needs of young people experiencing a first-episode psychosis, this book—the first of its kind to focus on the U.S. health care environment—begins with an overview of the history of early psychosis services in the United States and the development of coordinated specialty care (CSC) services.
Clinical case examples then illustrate the application of a range of evidence-based interventions, from the psychological and psychosocial—including cognitive-behavioral therapy for psychosis and supported employment and education—to peer, family, lifestyle, and technological interventions. All of these interventions are examined in individual detail, but it is the effectiveness of the interplay between them that the authors of Intervening Early in Psychosis emphasize. The collaboration of multidisciplinary stakeholders, including licensed therapists, medical providers, employment and education specialists, and peer specialists, is central to the success of the multimodal care model outlined in the guide and is examined at length.
This interdisciplinary approach is underpinned by recovery-oriented language that focuses on healing and recovery rather than disability and illness management. The book also provides an individual and family perspective on the lived experience of psychosis that underscores the importance of engaging clients and their support network in a philosophy of shared decision making.
With additional chapters that discuss advocacy issues and policy considerations when establishing CSC services and the importance of reducing the duration of untreated psychosis to optimize clinical and functional outcomes, this is the most comprehensive resource for clinicians, case workers, peer and vocational specialists, family members, and anyone else interested in expanding their knowledge of the early identification and treatment of individuals with psychotic disorders
An Author Writing to Remember and Celebrate Black Children
No full textWith an undergraduate degree in sociology from Morgan State University (Baltimore, MD) and a master’s degree in Library Science from the Catholic University of America (Washington, DC), Sharon Bell Mathis is a librarian and a multiple award-winning children’s and young adult book author [...
Walter Barnard Hill: Constructive Southern American
No full textThe purpose of this study of Walter Barnard Hill (1851-1905), Macon lawyer and Chancellor of the University of Georgia, is to explore his ideas on court reform, the labor problem, the Negro question, and southern education. Based primarily on his public statements, the study will show that when Hill considered each of these social issues he was concerned with the rights of the individual. According to Ralph H. Gabriel, a liberal in late nineteenth-century America was one who believed that individuals could alter the course of their lives and that the state or the group should help persons achieve their greatest potential as human beings. In an analysis of Hill,s ideas, I shall suggest that to a degree Hill approached Gabriel\u27s definition. This study, however, will also show that Hill was a southerner who lived and worked within a conservative atmosphere and even shared with his associates some of their prejudice against the Negro. But, unlike many. Hill did not allow his personal feelings to dominate him. Thus, although Hill eluded Gabriel\u27s definition of a liberal, the Georgian merits credit for his openmindedness and humanitarianism. On the basis of the thesis\u27 conclusions, I have chosen to label Hill a constructive southern American.
Because of G. Ray Mathis\u27 recent dissertation on Hill\u27s administration at the University of Georgia, I have de-emphasized the chancellorship and have attempted to study an unworked area of Hill\u27s contribution by concentrating upon his concepts of human rights. Therefore, in this study. Hill is treated as a leader in public education rather than as a university administrator.
For consideration and assistance in this undertaking, I wish to thank each member of the graduate faculty of the history department of Georgia Southern College, especially Dr. John Perry Cochran, who as my major professor has given invaluable guidance and encouragement during each stage of the completion of the study. For aid in the collection of materials for research, I am grateful to Mrs. Lilla Hawes and her staff at the Georgia Historical Society in Savannah, to Mr. John Bonner and Mrs. Susan B. Tate of the special collections division of the University of Georgia Libraries in Athens, and to Mrs. Mildred B. Sanders of the Georgia Southern College Library in Statesboro, I also wish to thank Mr. Brian S. Brown of Atlanta and Mrs. Walter B. Hill, Jr. of Clarkesville, who have kindly allowed me to examine some of the Hill family papers. Finally, I am indebted to my family for their assistance, patience, and understanding
Pretrained Transformers of "B-spline Curve Approximation With Transformer Neural Networks" article
No full textPretrained Transformers of B-spline Curve Approximation With Transformer Neural Networks article
This dataset contains model checkpoints along with configuration and log files of trained transformer neural networks. Those networks have been trained following the methodology described in the link article. The following github repository can be used to read, test and process the data found in this dataset : bspline-curve-approximation-transformer.
The Readme file can help you understand the nature of the data to help you in treating it yourself. A recent version of Pytorch is required to load some of the data (i.e. model checkpoints and parameters).
The training logs and inference results come as csv and txt files and can be read and processed by any software of your choice.
See Readme.md for a more detailed description of files and parameters. Feel free to contact the author regarding questions/problems with the data.</p
Global and local estimates of environmental flow requirements to sustain river ecosystems are poorly correlated
No full textData repository for ‘Global and local estimates of environmental flow requirements to sustain river ecosystems are poorly correlated ‘
prepared by Mathis L. Messager ([email protected])
1. Overview and background ----------------------------------------------------------
This documentation describes the input and output data associated with the analysis presented in: Messager, M. L., Dickens, W. S. C., Eriyagama, N., Tharme, R. E., Stassen, R. (2024). Limited comparability of global and local estimates of
environmental flow requirements to sustain river ecosystems. https://doi.org/10.1088/1748-9326/ad1cb5.
Environmental flows (e-flows) are a central element of sustainable water resource management to mitigate the detrimental impacts of hydrological alteration on freshwater ecosystems and their benefits to people. Many nations strive to protect e-flows through policy, and thousands of local-scale e-flows assessments have been conducted globally, leveraging data and knowledge to quantify how much water must be provided to river ecosystems, and when, to keep them healthy. However, e-flows assessments and implementation are geographically uneven and cover a small fraction of rivers worldwide. This hinders globally consistent target-setting, monitoring and evaluation for international agreements to curb water scarcity and biodiversity loss. Therefore, dozens of models have been developed over the past two decades to estimate the e-flows requirements of rivers seamlessly across basins and administrative boundaries at a global scale.There has been little effort, however, to benchmark these models against locally derived e-flows estimates, which may limit confidence in the relevance of global estimates. The aim of this study was to assess whether current global methods reflect e-flows estimates used on the ground, by comparing global and local estimates for 1194 sites across 25 countries. We found that while global approaches broadly approximate the bulk volume of water that should be precautionarily provided to sustain aquatic ecosystems at the scale of large basins or countries, they explain a remarkably negligible 0%–1% of the global variability in locally derived estimates of the percentage of river flow that must be protected at a given site. Even when comparing assessments for individual countries, thus controlling for differences in local assessment methods among jurisdictions, global e-flows estimates only marginally compared (R2 ⩽ 0.31) to local estimates. Such a disconnect between global and local assessments of e-flows requirements limits the credibility of global estimates and associated targets for water use. To accelerate the global implementation of e-flows requires further concerted effort to compile and draw from the thousands of existing local e-flows assessments worldwide for developing a new generation of global models and bridging the gap from local to global scales..
The data repository includes data required to perform this analysis as well as the data outputs from this analysis. Input data from local e-flow assessments included herein were either provided by collaborators or extracted from published governmental and academic reports by the authors. Input hydrographic data not available for download elsewhere were provided by Dr. Bernhard Lehner and hydrological simulations from PCR-GLOBWB 2.0 at a spatial resolution of 5 arc-min (not provided herein) were provided by Dr. ir. Edwin H. Sutanudjaja.
All scripts necessary to reproduce this analysis are freely available for all purposes (and can be copied, modified and distributed) at: https://github.com/messamat/globalEF_testPy (for data-preformatting and global e-flow calculations) and https://github.com/messamat/globalEF_testR (for comparing global and local MAF and e-flow estimates). The structure of the analysis relies as much as possible on good enough practices in scientific computing, which users are encouraged to read.
2. Repository content ----------------------------------------------------------
The data repository has the following structure, which must be conserved to run the analysis workflow:
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data/
Formatted_data_Chandima_20211018: pre-formatted local e-flow assessment sites.
Formatted_data_Chandima_20211102: pre-formatted local e-flow assessment sites.
GEFIS_test_data/:
Master Data Table_20230424.xlsx: final database of local e-flow assessments.
HydroATLAS/: hydrographic data required for downscaling and mapping global MAF and e-flow estimates
HydroATLAS_metadata_MLMv11.xlsx: metadata of RiverATLAS attributes used in producing distribution histogram in Supplementary Material.
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results/
france_preprocessing.gdb: outputs from spatial formatting of local e-flow assessment data for the Rhone River basin in France. The main output file is /Rhone_EFpoints_cleanjoin.
mexico_preprocessing.gdb: outputs from spatial formatting of local e-flow assessment data for Mexico. The main output file is /Mexico_EFpoints_cleanjoin.
processing_outputs.gdb: outputs from overall spatial formatting of local e-flow assessment data. The fully formatted point data of the sites is: EFpoints_20230424_clean_riverjoin. Associated with global e-flow estimates: EFpoints_20230424_clean_globalEF.
victoria_preprocessing.gdb: outputs from spatial formatting of local e-flow assessment data for the state of Victoria, Australia. The main output file is /Victoria_EFpoints_cleanjoin.
EFpoints_20230424_clean_globalEF.csv: all global e-flow estimates extracted for local e-flow assessment sites.
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isimp2_qtot_accumulated15s.gdb.zip: all global MAF and e-flow estimates in raster format. In the analytical workflow, these data are in the results/ folder but here they have been placed outside to conform with the maximum file size limit of this dataverse.
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README_Technical_documentation_globalEFcomparison_Messageretal2023.pdf : documentation for this repository
3. Data format and projection ----------------------------------------------------------
The spatial datasets are distributed in ESRI® file geodatabase format. Please contact the author should you want the data in another format. These datasets are available in compressed zip file format. To use the data files, the zip files must first be decompressed.
All data layers are provided in geographic (latitude/longitude) projection, referenced to datum WGS84. In ESRI® software this projection is defined by the geographic coordinate system GCS_WGS_1984 and datum D_WGS_1984 (EPSG: 4326).
4. License and citations ----------------------------------------------------------
4.1 License agreement
This documentation and datasets are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC-BY-4.0 License). For all regulations regarding license grants, copyright, redistribution restrictions, required attributions, disclaimer of warranty, indemnification, liability, waiver of damages, and a precise definition of licensed materials, please refer to the License Agreement (https://creativecommons.org/licenses/by/4.0/legalcode). For a human-readable summary of the license, please see https://creativecommons.org/licenses/by/4.0/.
4.2 Citations and acknowledgements.
Citations and acknowledgements of this dataset should be made as follows:
Messager, M. L., Dickens, W. S. C., Eriyagama, N., Tharme, R. E., Stassen, R. (2024). Limited comparability of global and local estimates of
environmental flow requirements to sustain river ecosystems. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ad1cb5.
We kindly ask users to cite this study in any published material produced using it. If possible, online links to this repository (DOI) should also be provided
Data for Contrasting action and posture coding with hierarchical deep neural network models of proprioception
No full text#############
Contrasting action and posture coding with hierarchical deep neural network models of proprioception, eLife 2023
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Authors: Kai J Sandbrink, Pranav Mamidanna, Claudio Michaelis, Matthias Bethge, Mackenzie W Mathis and Alexander Mathis
Affiliation: Brain Mind Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Switzerland, The Rowland Institute at Harvard, Harvard University, United States; Tübingen AI Center, Eberhard Karls Universität Tübingen & Institute for Theoretical Physics, Germany
Date of upload: December, 2024
Earlier the data was available via dropbox (see github).
Link to the eLife article:
https://elifesciences.org/articles/81499
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Here we provide the data and code for this project:
We share the proprioceptive character recognition dataset (contained in 'pcr_data.zip') it has approximately ~29GB when uncompressed.
We share the weights of all the trained networks (contained in 'network-weights.zip'): about ~3.5GB
The compressed code is also available here ('DeepDrawCode.zip').
The activations are shared in a separate Zenodo project (due to the size). Check out the repository below to find the link.
The up to date code is at: https://github.com/amathislab/DeepDraw
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The datasets, weights, activations and predictions are released with Creative Commons Attribution 4.0 license.
If you find this useful, please cite:
@article{sandbrink2023contrasting, title={Contrasting action and posture coding with hierarchical deep neural network models of proprioception}, author={Sandbrink, Kai J and Mamidanna, Pranav and Michaelis, Claudio and Bethge, Matthias and Mathis, Mackenzie Weygandt and Mathis, Alexander}, journal={Elife}, volume={12}, pages={e81499}, year={2023}, publisher={eLife Sciences Publications Limited}}UPAMATHISUPMWMATHI
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