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Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology
<p><strong>Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>The oxidation of sodium sulfite solutions by dissolved oxygen is greatly accelerated by minute traces of copper ions in the homogeneous liquid system. This system is of special interest since it has been shown that the process is a chain reaction. In this case many thousands of molecules of sodium sulfite can be oxidized to sulfate if the initial activation process is produced by absorption of a limited number of quanta (discrete energy measures) of light. The best example of a light-initiated chain reaction is the photocombination of hydrogen and chlorine; as many as one million molecules of hydrogen chloride can be formed by absorption of a single light quantum. It is of interest to note that such chain reactions can be retarded by the presence of negative catalysts, more commonly termed inhibitors. These are materials that slow down the overall reaction by shortening the reaction chains, generally by entering into a non-chain reaction with one of the chemical components that maintain the chain. A wide variety of substances, including alcohols, sugars, and phenols, have been found to act as inhibitors of the oxidation of sulfite solutions. In certain instances, two or more catalysts present at the same time produce effects greater than either would produce alone. It is then customary to speak of promoter action. Thus, iron ions in solution fortify the action of copper ions in catalyzing a reaction between hydrogen peroxide and iodine. It is assumed that each catalyst activates only one of the reactants.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 4.44959</p> <p>0.00025 4.45878</p> <p>0.0005 4.48183</p> <p>0.00075 4.51166</p> <p>0.001 4.54417</p> <p>0.00125 4.58104</p> <p>0.0015 4.62817</p> <p>0.00175 4.68814</p> <p>0.002 4.75712</p> <p>0.00225 4.82549</p> <p>0.0025 4.88385</p> <p>0.00275 4.92753</p> <p>0.003 4.95729</p> <p>0.00325 4.98021</p> <p>0.0035 5.00483</p> <p>0.00375 5.03541</p> <p>0.004 5.07069</p> <p>0.00425 5.10466</p> <p>0.0045 5.13141</p> <p>0.00475 5.14874</p> <p>0.005 5.15804</p> <p>0.00525 5.16465</p> <p>0.0055 5.17504</p> <p>0.00575 5.19208</p> <p>0.006 5.21419</p> <p>0.00625 5.23637</p> <p>0.0065 5.25342</p> <p>0.00675 5.26315</p> <p>0.007 5.26706</p> <p>0.00725 5.26999</p> <p>0.0075 5.27698</p> <p>0.00775 5.2902</p> <p>0.008 5.30797</p> <p>0.00825 5.32557</p> <p>0.0085 5.33865</p> <p>0.00875 5.34553</p> <p>0.009 5.34758</p> <p>0.00925 5.34898</p> <p>0.0095 5.35409</p> <p>0.00975 5.36492</p> <p>0.01 5.38001</p> <p>0.01025 5.39497</p> <p>0.0105 5.40558</p> <p>0.01075 5.41024</p> <p>0.011 5.41031</p> <p>0.01125 5.41008</p> <p>0.0115 5.41383</p> <p>0.01175 5.42315</p> <p>0.012 5.43632</p> <p>0.01225 5.44943</p> <p>0.0125 5.45885</p> <p>0.01275 5.46302</p> <p>0.013 5.46291</p> <p>0.01325 5.46232</p> <p>0.0135 5.46534</p> <p>0.01375 5.47361</p> <p>0.014 5.48559</p> <p>0.01425 5.49703</p> <p>0.0145 5.50449</p> <p>0.01475 5.50685</p> <p>0.015 5.5052</p> <p>0.01525 5.50292</p> <p>0.0155 5.5039</p> <p>0.01575 5.5099</p> <p>0.016 5.51963</p> <p>0.01625 5.52926</p> <p>0.0165 5.53479</p> <p>0.01675 5.53509</p> <p>0.017 5.53187</p> <p>0.01725 5.52862</p> <p>0.0175 5.52867</p> <p>0.01775 5.53341</p> <p>0.018 5.54174</p> <p>0.01825 5.54974</p> <p>0.0185 5.5541</p> <p>0.01875 5.5541</p> <p>0.019 5.55067</p> <p>0.01925 5.54664</p> <p>0.0195 5.54565</p> <p>0.01975 5.54956</p> <p>0.02 5.55697</p> <p>0.02025 5.56395</p> <p>0.0205 5.56722</p> <p>0.02075 5.56603</p> <p>0.021 5.56165</p> <p>0.02125 5.55689</p> <p>0.0215 5.55505</p> <p>0.02175 5.55776</p> <p>0.022 5.56342</p> <p>0.02225 5.56878</p> <p>0.0225 5.57095</p> <p>0.02275 5.56887</p> <p>0.023 5.56341</p> <p>0.02325 5.55734</p> <p>0.0235 5.55408</p> <p>0.02375 5.55524</p> <p>0.024 5.55933</p> <p>0.02425 5.56278</p> <p>0.0245 5.56283</p> <p>0.02475 5.55851</p> <p>0.025 5.55036</p> <p>0.02525 5.54139</p> <p>0.0255 5.53503</p> <p>0.02575 5.53218</p> <p>0.026 5.53104</p> <p>0.02625 5.52834</p> <p>0.0265 5.52161</p> <p>0.02675 5.51435</p> <p>0.027 5.50735</p> <p>0.02725 5.50059</p> <p>0.0275 5.49358</p> <p>0.02775 5.48678</p> <p>0.028 5.47965</p> <p>0.02825 5.47246</p> <p>0.0285 5.46597</p> <p>0.02875 5.45839</p> <p>0.029 5.45181</p> <p>0.02925 5.4442</p> <p>0.0295 5.43768</p> <p>0.02975 5.43001</p> <p>0.03 5.42345</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Code: Decarbonization Employment and Energy Systems (DEERS) Model
<p>The Decarbonization Employment and Energy Systems (DEERS) model is a data-driven framework for estimating labor market pathways of large-scale, low-carbon energy-supply infrastructure development. The DEERS model is designed as a tool to inform regional and national workforce and infrastructure planning and policy-making in the U.S. The model simulates the distribution of labor effects over time and across economic sectors, resource sectors, occupations, and geography for multi-decadal energy-supply system transition scenarios. The model is used to estimate employment demand and wages, as well as experience, education, and training requirements, across domestic energy supply chains. We also incorporate time-variant factors, such as labor productivity and wage inflation, which are especially important in the context of emerging labor markets and long-term transitions. The DEERS model is adaptable to different energy system contexts and readily coupled with regional and downscaled macro-energy system modeling outputs. It can also be used to explore modifiable workforce and infrastructure planning and policy decisions, such as high road labor policies, siting domestic manufacturing facilities, creating just transition funds, and changing fossil fuel exports over time.</p>
Testing an Evidence-Based Supported Employment Model in Autistic Young Adults
ClinicalTrials.gov study NCT06829264. IPD Sharing: NO. Countries: 1. Publications: 5.
Employment-based Reinforcement to Motivate Drug Abstinence in the Treatment of Drug Addiction. - 1
ClinicalTrials.gov study NCT00249496. IPD Sharing: NO. Countries: 1. Publications: 2.
Social and Monetary Incentives for Smoking Cessation at Large Employers
ClinicalTrials.gov study NCT02421224. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Employment-based Reinforcement of Naltrexone Ingestion and Abstinence
ClinicalTrials.gov study NCT00149669. IPD Sharing: NO. Countries: 1. Publications: 2.
Real World Effectiveness of Combining an Employer-based Weight Management Program With Medication for Chronic Weight Management in Employees With Obesity
ClinicalTrials.gov study NCT03799198. IPD Sharing: YES. Countries: 1. Publications: 2.
The Study Focuses on Training Newly Employed Nurses With Two Groups Interventional (Simulation Training) & Control (Brochure) Group Using BLS -AHA 2020 Using Simulation, the Test Includes Pre-test & 2
ClinicalTrials.gov study NCT06001879. IPD Sharing: YES. Countries: 1. Publications: 104.
ATN 151 Work-to-Prevent: Employment as HIV Prevention
ClinicalTrials.gov study NCT03313310. IPD Sharing: YES. Countries: 1. Publications: 5.
Assessing Choice in the Employer Setting (ACES) Study
ClinicalTrials.gov study NCT00808808. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Employment-Based Depot Naltrexone Clinical Trial
ClinicalTrials.gov study NCT00684788. IPD Sharing: NO. Countries: 1. Publications: 2.
Telehealth Pain Self-Management for Employed Adults
ClinicalTrials.gov study NCT04248725. IPD Sharing: YES. Countries: 1. Publications: 12.
SCI-VIP: Predictive Outcome Model Over Time for Employment (PrOMOTE)
ClinicalTrials.gov study NCT01141647. IPD Sharing: NO. Countries: 1. Publications: 5.
Supported Employment in Patient Aligned Care Teams
ClinicalTrials.gov study NCT02400736. IPD Sharing: NO. Countries: 1. Publications: 2.
Employment-Based Depot Naltrexone Clinical Trial II
ClinicalTrials.gov study NCT00684775. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: AUTOEB: A software for systematically evaluating bipartitions in a phylogenetic tree employing an approximately unbiased test
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Metagenomics tools employed in microbiome research, 2018-2023, per peer-reviewed publications
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Assessing the impact of supply-side policies on oil extraction, health, and employment in California
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Data from: Employing hypothesis testing and data from multiple genomic compartments to resolve recalcitrant backbone nodes in Goodenia s.l. (Goodeniaceae)
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Nonaggressive behavior: A strategy employed by an obligate nest invader to avoid conflict with its host species
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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.