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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Sequential Prediction of" (30 stories)

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Sequence-based prediction of drug–target binding using machine learning, deep learning and ensemble models without 3D structural information
Lead StoryNaturegeneral
Jun 12

Sequence-based prediction of drug–target binding using machine learning, deep learning and ensemble models without 3D structural information

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1YWkZOcC1jRlRqVGFLNWxUMlc1SjlqLWxraGFZU3htUk5VSGFxa1R2MW1MMVBCMEZKR1NVOV9iNXUtSWtvZG1YeXJtU3lsZHRCb0d4a2h4TUNYS2dJdzgw?oc=5" target="_blank">Sequence-based prediction of drug–target binding using machine learning, deep learning and ensemble models without 3D structural information</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Sequential Prediction of"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Sequence-Free for Compound Protein Interaction Prediction
The Association for the Advancement of Artificial Intelligenceworld

Sequence-Free for Compound Protein Interaction Prediction

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1ZTm9kU2d6cDYzTmhmazYzUE9ZanJjc1RJMlNSbHd3ajBLc29nOHczUmdRSGFLX0pTYmZIdFNnTU82Z0xwbGtrNUdLSXdCR3F5emREczVyYkMxWHdHV3lWTklReDk?oc=5" target="_blank">Sequence-Free for Compound Protein Interaction Prediction</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Multimodal Deep Learning for Longitudinal Prediction of Glaucoma Progression Using Sequential RNFL, Visual Field, and Clinical Data
medRxivgeneral

Multimodal Deep Learning for Longitudinal Prediction of Glaucoma Progression Using Sequential RNFL, Visual Field, and Clinical Data

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE5NVjEzRUMxVUtoVGl3eGR4djBhZUtMcVVWa2d5MHdhWE1yUHQ0ekEteXI0WDJ4Tmx6b1VNYndrYUNqbXVKcWR5UXpsMlNkenBXeVRON3FSY25KV2RwdHZuc3JTS0liendWb3BXMFJ1YWpCSDNmbzlONHZjOA?oc=5" target="_blank">Multimodal Deep Learning for Longitudinal Prediction of Glaucoma Progression Using Sequential RNFL, Visual Field, and Clinical Data</a>  <font color="#6f6f6f">medRxiv</font>

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Wells Fargo Data Validates Quantum Sequence Prediction With QFWPs
Quantum Zeitgeistgeneral

Wells Fargo Data Validates Quantum Sequence Prediction With QFWPs

<a href="https://news.google.com/rss/articles/CBMifkFVX3lxTE1ha0o3Qll3QXhRMDM0OXQ4aFFlb0hQWUxBSHN5QlJaRnB2SVlvMlRRWXhPbVR5UHVzYWg1WS1ybE1YRHpONkZEZEhtM0FiMmhBTXpQMWFpUmdzQ29HY25Da0Q0dFRsNU1TZXNjMWJYNElQSzFrcmtCWG9IOGVSdw?oc=5" target="_blank">Wells Fargo Data Validates Quantum Sequence Prediction With QFWPs</a>  <font color="#6f6f6f">Quantum Zeitgeist</font>

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Sequential Bayesian learning-enabled thermal and material flow field prediction in additive friction stir deposition
Naturegeneral

Sequential Bayesian learning-enabled thermal and material flow field prediction in additive friction stir deposition

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9uX21ZdHBVOUFTQWpNUWRrZ2NzZkx6cWxJQjBlWWRmdWR5eHJ4RHNHVEdIajd4T0phM3NOcC1BY1B1RmVuSDdKNlhxNU8yaEVkZGRFWHdyWTcxWmJBcWFz?oc=5" target="_blank">Sequential Bayesian learning-enabled thermal and material flow field prediction in additive friction stir deposition</a>  <font color="#6f6f6f">Nature</font>

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Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning
RSNA Journalsworld

Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning

<a href="https://news.google.com/rss/articles/CBMiW0FVX3lxTFBGSWxfdmN2ZnBReGdrWlk2alZCbnM1OGxGZW1lSGpoNnlENF9jZXhsWmtyNy1Id3RHZV9ycngzTG5ydlFyblpvdkxwamxKWDNXWVdvWmwxZmpLczA?oc=5" target="_blank">Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning</a>  <font color="#6f6f6f">RSNA Journals</font>

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Motor Sequence Learning Involves Better Prediction of the Next Action and Optimization of Movement Trajectories
Journal of Neurosciencegeneral

Motor Sequence Learning Involves Better Prediction of the Next Action and Optimization of Movement Trajectories

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE5JdlBvQjRydHlWMnlmNmJIUzVHUEtDQ0ZHS2hkZ1l6c2x3MTJGUlREVnZva09tRnpDR2dLUDZXSkFIZkh3a0J3cGlXTFA2THFpWDhpdmFBVG5wWl83SXlBbA?oc=5" target="_blank">Motor Sequence Learning Involves Better Prediction of the Next Action and Optimization of Movement Trajectories</a>  <font color="#6f6f6f">Journal of Neuroscience</font>

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Editorial: Computational protein function prediction based on sequence and/or structural data
Frontiersworld

Editorial: Computational protein function prediction based on sequence and/or structural data

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxPc1I5ajRoS0hVd2l5SzdUR01vWng0UzZaZng0MFFKN3FnOElXUWx6TC1weHluRHFiNVhZNnpwb1hRVnZjbEJhS0c1aDZScEZ2RG9ndzV2cjl3WDl4MHZhQXFFbU40Nkd0eDl0Y1VabTRVRDBSNUVmT0l2cDF3ZUhFcDlLalI0RkRQRW1wU1haT09ydGVCTFkw?oc=5" target="_blank">Editorial: Computational protein function prediction based on sequence and/or structural data</a>  <font color="#6f6f6f">Frontiers</font>

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FuzDrop: sequence-based prediction of the propensity of proteins for liquid–liquid phase separation and aggregation
Naturegeneral

FuzDrop: sequence-based prediction of the propensity of proteins for liquid–liquid phase separation and aggregation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ELURlN09YcHFwbkFOMXJ3ZDBJd0ExXzVFTUVUMXZNaWxEbnRfMlByckRWeHgyZVk0N3Y0OFVXck84TUdUZG81RzJxNGdrck5tSXJIU3cwQU12aWg1aUZj?oc=5" target="_blank">FuzDrop: sequence-based prediction of the propensity of proteins for liquid–liquid phase separation and aggregation</a>  <font color="#6f6f6f">Nature</font>

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Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning
RSNA Journalsworld

Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTFBIYzhYNlM4bkhodllfTDE3YlQ4M3BhNDBWdEpIUnBZaG1KT2dVMXRoTThFeXBmN3JCdklZQzFEd0I0RTRIUUVWQzVYZnBUdmVGZ2VzdGE5TkdQR3N5aDlTWg?oc=5" target="_blank">Sequential Prediction of Interstitial Lung Abnormalities Using Machine Learning</a>  <font color="#6f6f6f">RSNA Journals</font>

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Accurate prediction of tensorial spectra using equivariant graph neural network
Naturegeneral

Accurate prediction of tensorial spectra using equivariant graph neural network

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1XM0U4d1RuRURvd193X3EwZm1MU1NveDFoSmFHM1puZi14aFAzc1RVU0VzYVRBY3pUV3NabzNRZGpCM0lGSFRiUGxYcWpXbk5KX0hJcnVvMWJWemRVeWJV?oc=5" target="_blank">Accurate prediction of tensorial spectra using equivariant graph neural network</a>  <font color="#6f6f6f">Nature</font>

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A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins
Naturegeneral

A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5lMU0wekEzZW1ockJSeWR6YjQ1WjFENmtxOXA3Tzh3UXhGOV9FeU1uNERpNlp6XzM0RXc4NTdMRmRVZDEyWjItRm5zbmlnWHVqUmNycTQzeFc0anNvQmtB?oc=5" target="_blank">A comprehensive benchmark of sequence-based subcellular localization predictors for human proteins</a>  <font color="#6f6f6f">Nature</font>

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A paired sequence language model for protein-protein interaction modeling
Naturetech

A paired sequence language model for protein-protein interaction modeling

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1qSWRnVFZ0WU1hX01IR0VpM3ZRR2hPR25nRTR5VDhMaDk2TUZmdEhpRXc3cjJkVV9VVFAxNEdDUzA1MU1fN3l0YmI0eTZOQjVyMFJrcjhrdzJsb3E1aVhv?oc=5" target="_blank">A paired sequence language model for protein-protein interaction modeling</a>  <font color="#6f6f6f">Nature</font>

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JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention
Naturegeneral

JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5mZGlTak1OQS05LXVWSVZaTlY4Y3lkRjA2eXdkd2taTElnVjhBV2pBaUFfMGRGLUhTdTk4YTZpWFI0d1ctQXVMdzFHaXA0aXFfSmVMSGM3LTl4OHZ1Nmc4?oc=5" target="_blank">JanusDDG: a physics-informed neural network for sequence-based protein stability via two-fronts attention</a>  <font color="#6f6f6f">Nature</font>

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Stable de novo protein design via joint conformational landscape and sequence optimization
Naturegeneral

Stable de novo protein design via joint conformational landscape and sequence optimization

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5OWWw2dS1vSnlFU2NOSXh2M291amwwYmhFbVBjSk5MdjlmOHJHQTM0MWZIT25FSVlsYjhjS2Jhc1dfLXJCa3dXVkxRRThaVzZ2R3JBQkJLclFHTVdGNG1v?oc=5" target="_blank">Stable de novo protein design via joint conformational landscape and sequence optimization</a>  <font color="#6f6f6f">Nature</font>

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High-accuracy protein complex structure modeling based on sequence-derived structure complementarity
Naturegeneral

High-accuracy protein complex structure modeling based on sequence-derived structure complementarity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1yaGJWT1R0blF5OFFBX1otdzlfeC1DNXltazJHa0RhVU9tSThvcVQ4bEV1OHdVTWI1Qnc3d3lEbC1yek9SWU5WdDJhdDRvSTRhM1owOEFnYVoyYnBjb3JR?oc=5" target="_blank">High-accuracy protein complex structure modeling based on sequence-derived structure complementarity</a>  <font color="#6f6f6f">Nature</font>

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Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder
Naturegeneral

Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpODd6Uk5KOUQwM2k5VDh2NGFuVGg3cWxyVnJjVHphMzhBS19HamhJb3NfSEhnUDA2UVc0ZWJQTUtQRGNtcmZUT2VFN0h2ZFBma0R0S3YxRkRNM2QyQmdJ?oc=5" target="_blank">Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder</a>  <font color="#6f6f6f">Nature</font>

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Sequential stacking link prediction algorithms for temporal networks
Naturegeneral

Sequential stacking link prediction algorithms for temporal networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB4OWZsX3NnUXVnek8tdG4tUFQyR3JRZmhUOW1TOGtRZDY3TFRscUJsVlRpbWpZSE9rc1hrSXQ0TVRPd3h6VjJaNnZyaEhpXy1kRTZicE1kZldvdEZSSUJR?oc=5" target="_blank">Sequential stacking link prediction algorithms for temporal networks</a>  <font color="#6f6f6f">Nature</font>

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3D long time spatiotemporal convolution for complex transfer sequence prediction
Naturegeneral

3D long time spatiotemporal convolution for complex transfer sequence prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1PUDRSYjdxNmZFNzRHOWNRY3dXVm9LVndnQ1FHUGNXS1JLMTQ3bms0TFAyYXlkVEhQcWFGcXA5ZkhvZEpxanA1VEhQZTNYWE85SW5abWJyaDhxZHBmZi1Z?oc=5" target="_blank">3D long time spatiotemporal convolution for complex transfer sequence prediction</a>  <font color="#6f6f6f">Nature</font>

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Direct prediction of intrinsically disordered protein conformational properties from sequence
Naturegeneral

Direct prediction of intrinsically disordered protein conformational properties from sequence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5zU0NUbkJGU1VpeE5OV1ppZVhwX0NZSS1VVm9oUmdpYWFuV2s1MlJsZEViVnhlU1RobnR6VEg3ak9acHJfOEExMkJnOWp2aGVKb2VLdUkwbFk4QU1HU0w0?oc=5" target="_blank">Direct prediction of intrinsically disordered protein conformational properties from sequence</a>  <font color="#6f6f6f">Nature</font>

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Effective gene expression prediction from sequence by integrating long-range interactions
Naturegeneral

Effective gene expression prediction from sequence by integrating long-range interactions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92S2JseHZ0emFTVV83U2twelEybzk1TVQ4a3FWTk5jbzk2X0tQemlUYnc0MkYyUWs0dTM3SHh2RjNyc1JKWGtRRmxTcnptak8xZTNDRG52cHU5WkdCbDhz?oc=5" target="_blank">Effective gene expression prediction from sequence by integrating long-range interactions</a>  <font color="#6f6f6f">Nature</font>

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Sequence-based prediction of intermolecular interactions driven by disordered regions
Science | AAASgeneral

Sequence-based prediction of intermolecular interactions driven by disordered regions

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE9TM25Dcjd0R0d5Z05xUHRSS09jU2VpOFRTQ0lIMERycFJndVBEVUczOFNPOGlVRlhYbktTOGNJY0VzRGVwaGJoT1pCV1FudWJZaHMyZ0pEMWZFd3RwcG1KdA?oc=5" target="_blank">Sequence-based prediction of intermolecular interactions driven by disordered regions</a>  <font color="#6f6f6f">Science | AAAS</font>

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Prediction of potent shRNAs with a sequential classification algorithm
Naturegeneral

Prediction of potent shRNAs with a sequential classification algorithm

<a href="https://news.google.com/rss/articles/CBMiUkFVX3lxTFBBS29xYldWSXEtT2xHVGFCUGloQTBpckRfZjc5M2hCMExlN21KX2E3S1oxd3JLX09DRjdPeHA3THNuRHRyNVA0UUR6RVBOczdaeEE?oc=5" target="_blank">Prediction of potent shRNAs with a sequential classification algorithm</a>  <font color="#6f6f6f">Nature</font>

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Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting
Naturegeneral

Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1BbTNVcldGOXA4R1lCTGp6ajJCLVJsSHViQl9vSWJXbEZ5XzlnRWphSlUwQWtYZUJ3ZHVFU0lIZV9mMmFsZkhnMWNJeUViVGNQS0czNmhUZ1R4TFVZeTlj?oc=5" target="_blank">Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting</a>  <font color="#6f6f6f">Nature</font>

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Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants
Naturetech

Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0tb3J3S2JoVGFDcFY4WndVT1U2M2JZdm1kQ3hIS3FnVnVWWXRxOFFDLVJKNms3TVJSSkZkNDhHbjdIZy03OU9FckNuRk9iRHRraTl6OXpncW5ySW1zN1Vn?oc=5" target="_blank">Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants</a>  <font color="#6f6f6f">Nature</font>

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Sequence-based prediction of condensate composition reveals that specificity can emerge from multivalent interactions among disordered regions | Communications Chemistry
Natureworld

Sequence-based prediction of condensate composition reveals that specificity can emerge from multivalent interactions among disordered regions | Communications Chemistry

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE95LXQtU3pVamc3aG1ZeDhGOGZ5am44a1VFaUZNUnV1UlZ3a09uNWcyd2JkS3NRaDNDcGd0RHo2UnBJWDZKNkw3TnZzeVl4MUxKUGQ2RE9uV3lLT0FFQXQ4?oc=5" target="_blank">Sequence-based prediction of condensate composition reveals that specificity can emerge from multivalent interactions among disordered regions | Communications Chemistry</a>  <font color="#6f6f6f">Nature</font>

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Sequence-specific prediction of the efficiencies of adenine and cytosine base editors
Naturegeneral

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors

<a href="https://news.google.com/rss/articles/CBMiXkFVX3lxTE1vOVVlYm5TQzV3VnJFMEx3dTZwWUhfOXRxd0ExNllNQU9BZ2RJQnVRczJmOXdSc2VMcmtWU2hUVW9rX0dhLXlhREZ6VWRmemt3bE9EVHlWd2lRRFBsX3c?oc=5" target="_blank">Sequence-specific prediction of the efficiencies of adenine and cytosine base editors</a>  <font color="#6f6f6f">Nature</font>

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Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue
Naturegeneral

Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5OUkZ3ZkduM192RV95eFhEVlhFVHBkNU1aOUtNdkFTZVNUQlU2aW8yM3BZb29XemlxWWctekdFTy1sYUVuNFBZRmtsQnQzS3M0MlRfOTBWUkUwb1VlU3NF?oc=5" target="_blank">Multi-model sequential analysis of MRI data for microstructure prediction in heterogeneous tissue</a>  <font color="#6f6f6f">Nature</font>

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Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process
Naturetech

Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BREdjOGFZa1loNmpxbnNobDllNWdXYTlFRkhwU0JsQmJfWkJGWU92YmRoemdWSWJsZXRaZGRhNF9mSlU5Z1A2NEZmTXNSdGlRVEdNWlZaNFBkUmxZbkJF?oc=5" target="_blank">Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process</a>  <font color="#6f6f6f">Nature</font>

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Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN
Naturegeneral

Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9YeVB3aWE4VW9wOHJ0VDVGRzhEc2tSQWJsemRTQlNFbTVjRTBiZFF5a1lDOGs2ZmlTTXZVZzRLelE5d08wMGtjaGxkcnZOUGpJa2JTaDV3NVV2aUNVZTY0?oc=5" target="_blank">Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN</a>  <font color="#6f6f6f">Nature</font>

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