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adsorption in water treatment: fundamentals, processes, and modeling  (Walter de Gruyter GmbH)

 
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    Walter de Gruyter GmbH adsorption in water treatment: fundamentals, processes, and modeling
    Adsorption In Water Treatment: Fundamentals, Processes, And Modeling, supplied by Walter de Gruyter GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/modeling+process/adsorption+in+water+treatment++fundamentals++processes++and+modeling/pm31244068-483-9-15
    Average 90 stars, based on 1 article reviews
    adsorption in water treatment: fundamentals, processes, and modeling - by Bioz Stars, 2026-09
    90/100 stars

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    Adsorption:

    Article Title: Tailored mesoporous biochar sorbents from pinecone biomass for the adsorption of natural organic matter from lake water
    Article Snippet: .. [38] E. Worch, Adsorption Technology in Water Treatment : Fundamentals, Processes, and Modeling, DEU: Walter de Gruyter, Munchen, 2012. ..

    Article Title: Removal of steroid hormone micropollutants by UF-PBSAC composite in presence of organic matter
    Article Snippet: Accepted Manuscript Removal of steroid hormone micropollutants by UF-PBSAC composite in presence of organic matter Julia Wolters, Matteo Tagliavini, Andrea I. Schäfer PII: S0376-7388(19)31675-8 DOI: https://doi.org/10.1016/j.memsci.2019.117315 Article Number: 117315 Reference: MEMSCI 117315 To appear in: Journal of Membrane Science Received Date: 5 June 2019 Revised Date: 29 July 2019 Accepted Date: 29 July 2019 Please cite this article as: J. Wolters, M. Tagliavini, A.I.. Schäfer, Removal of steroid hormone micropollutants by UF-PBSAC composite in presence of organic matter, Journal of Membrane Science (2019), doi: https://doi.org/10.1016/j.memsci.2019.117315.. This is a PDF file of an unedited manuscript that has been accepted for publication.

    Article Title: SILAR Deposition of Metal Oxide Nanostructured Films.
    Article Snippet: .. [60] E. Worch, Adsorption Technology in Water Treatment: Fundamentals, Processes, and Modeling, Walter de Gruyter, Berlin 2012. ..

    Article Title: N 2 yields from monochloramine conversion by granular activated carbons are decisive for effective swimming pool water treatment.
    Article Snippet: .. 1084 M AN US CR IP T AC CE PT ED 46 Worch, E., Adsorption Technology in Water Treatment: Fundamentals, Processes, 1085 and Modeling, Walter de Gruyter GmbH & Co. KG, Berlin/Boston, 2012. ..

    Article Title: White Cement as a Nontoxic and Eco-Friendly Adsorbent for Phosphate Adsorption/Desorption: Characterization, Optimization, and Modeling Studies
    Article Snippet: .. 2007, 144, 93−100. (99) Worch, E. Adsorption Technology in Water Treatment; Walter de Gruyter, 2001. (100) Deng, Y.; Wheatley, A. Mechanisms of phosphorus removal by recycled crushed concrete. ..

    Article Title: Trimellitated sugarcane bagasse: A versatile adsorbent for removal of cationic dyes from aqueous solution. Part II: Batch and continuous adsorption in a bicomponent system.
    Article Snippet: Please cite this article as: R. Aparecida Fideles, F. Simões Teodoro, A. Luísa Pedrosa Xavier, O. Fernando Herrera Adarme, L. Frédéric Gil, L. Vinícius Alves Gurgel, Trimellitated sugarcane bagasse: A versatile adsorbent for removal of cationic dyes from aqueous solution.. Part II: Batch and continuous adsorption in a bicomponent system, Journal of Colloid and Interface Science (2019), doi: https://doi.org/10.1016/j.jcis.2019.05.089

    Article Title: Deeper Insights into the Bohart-Adams Model in a Fixed-Bed Column.
    Article Snippet: The Bohart−Adams model was one of the most widely used breakthrough models in column experiments.. However, it usually provided a poor fit for the modeling of an asymmetric breakthrough curve.. This work proposed the n-order Bohart−Adams and fractal-like Bohart−Adams models.

    Article Title: Application of Nitric Acid Modified Multi‐Walled Carbon Nanotubes for Efficient Removal of Methylene Blue in Aqueous Solution
    Article Snippet: In this work, multi-walled carbon nanotubes (MWCNTs) was modified with nitric acid and applied as efficient adsorbents for the removal of methylene blue (MB) in aqueous solution.. The morphologies of the modified MWCNTs were characterized by N2 adsorption-desorption (BET), transmission electron microscope (TEM) and X-ray photoelectron spectroscopy (XPS).. Batch experiments were conducted systematically to explore the effects of various parameters including mass dosage of adsorbents, initial concentration of MB dye, pH of solution and ionic strength about the adsorption performance with modified MWCNTs.



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    Overview of Methodological Workflows for Multi-Omics and Spatial Transcriptomics Analysis. a Nicheformer Model for Gene Expression Integration: The Nicheformer model processes tokenized gene expression data and assay-specific markers using transformer embeddings, producing unified outputs for gene ranking and modality integration. This enables accurate predictions for gene regulatory networks (GRN) and drug response analysis . b LocalCLiP for Spatial Transcriptomics: LocalCLiP utilizes a local transformer model to integrate spatial transcriptomics data, using KNN for image patch analysis and gene expression prediction, providing insights into tissue-specific molecular patterns . c BioTask Executor for Task-Specific Analysis: The BioTask Executor handles various biological tasks, from zero-shot learning to GRN inference and drug response prediction, by preprocessing data, initializing pretrained models (e.g., SCGPT, Geneformer), and fine-tuning them for task-specific applications . d Human-8CATAC-CorpuS for Multi-Tissue Analysis: The Human-8CATAC-CorpuS dataset, with 5 million cells from 31 tissues, is used to train models for gene expression prediction and cCRE signal reconstruction, enabling comprehensive analysis of tissue-specific regulatory elements . The schematics were adapted from [ , , ] and

    Journal: Journal of Translational Medicine

    Article Title: Transformative advances in single-cell omics: a comprehensive review of foundation models, multimodal integration and computational ecosystems

    doi: 10.1186/s12967-025-07091-0

    Figure Lengend Snippet: Overview of Methodological Workflows for Multi-Omics and Spatial Transcriptomics Analysis. a Nicheformer Model for Gene Expression Integration: The Nicheformer model processes tokenized gene expression data and assay-specific markers using transformer embeddings, producing unified outputs for gene ranking and modality integration. This enables accurate predictions for gene regulatory networks (GRN) and drug response analysis . b LocalCLiP for Spatial Transcriptomics: LocalCLiP utilizes a local transformer model to integrate spatial transcriptomics data, using KNN for image patch analysis and gene expression prediction, providing insights into tissue-specific molecular patterns . c BioTask Executor for Task-Specific Analysis: The BioTask Executor handles various biological tasks, from zero-shot learning to GRN inference and drug response prediction, by preprocessing data, initializing pretrained models (e.g., SCGPT, Geneformer), and fine-tuning them for task-specific applications . d Human-8CATAC-CorpuS for Multi-Tissue Analysis: The Human-8CATAC-CorpuS dataset, with 5 million cells from 31 tissues, is used to train models for gene expression prediction and cCRE signal reconstruction, enabling comprehensive analysis of tissue-specific regulatory elements . The schematics were adapted from [ , , ] and

    Article Snippet: The schematic were adapted from [ ] and [ ] with permission Fig. 3 Overview of Methodological Workflows for Multi-Omics and Spatial Transcriptomics Analysis. a Nicheformer Model for Gene Expression Integration: The Nicheformer model processes tokenized gene expression data and assay-specific markers using transformer embeddings, producing unified outputs for gene ranking and modality integration.

    Techniques: Biomarker Discovery, Gene Expression