This review evaluates 70 published studies with R2 > 0.95 that apply the diffusion-chemisorption (D-C) model to adsorption systems. It also incorporates an experimental component to demonstrate the practical applicability of the derived characteristic curves and equations. The study introduces a new framework for classifying adsorption systems based on intraparticle diffusion, leveraging a solid-phase mass transfer index (RDC) and characteristic curves derived from the D-C kinetic model. Additionally, new equations were developed to rapidly estimate the half-time of adsorption reactions and map operating time as a function of sorbent saturation. The characteristic curves based on the published studies revealed four distinct zones for RDC ranging from 0 to infinity. Type I curves correspond to large particle sizes and highly porous adsorbents, whereas Type IV curves represent powdered and low-porosity adsorbents. The concurrence to Types I, II, III, and IV curves from the 70 published studies were 8.5%, 36%, 32.5%, and 23%, respectively. To demonstrate the usefulness of the developed equations, the adsorption of Cu(II) ions by Fomes fasciatus was successfully evaluated to elucidate the influence of intraparticle diffusion and predict adsorption performance. This type of analysis offers a valuable tool for researchers and designers to identify adsorbents for specific adsorbates and explicate transport mechanisms. Further, it minimises the need for extensive sampling and enables the comparison of adsorbent performances.
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http://dx.doi.org/10.1093/etojnl/vgaf052 | DOI Listing |
Front Nephrol
February 2025
Department of Pediatrics, Shanghai East Hospital, Tongji University, Shanghai, China.
Objective: This study aims to investigate the predictive value of early neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) levels for relapse and adverse prognosis within one year in children diagnosed with steroid-sensitive nephrotic syndrome (SSNS).
Methods: This study included a total of 145 pediatric patients diagnosed with steroid-sensitive nephrotic syndrome (SSNS) between January 2016 and December 2021. We collected early neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) levels, along with relevant clinical data, and conducted a one-year follow-up of the patients.
Chin J Cancer Res
January 2025
Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital of Qingdao University, Yantai 264000, China.
Objective: Early predicting response before neoadjuvant chemotherapy (NAC) is crucial for personalized treatment plans for locally advanced breast cancer patients. We aim to develop a multi-task model using multiscale whole slide images (WSIs) features to predict the response to breast cancer NAC more finely.
Methods: This work collected 1,670 whole slide images for training and validation sets, internal testing sets, external testing sets, and prospective testing sets of the weakly-supervised deep learning-based multi-task model (DLMM) in predicting treatment response and pCR to NAC.
Chin J Cancer Res
January 2025
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, China.
Objective: The neglect of occult lymph nodes metastasis (OLNM) is one of the pivotal causes of early non-small cell lung cancer (NSCLC) recurrence after local treatments such as stereotactic body radiotherapy (SBRT) or surgery. This study aimed to develop and validate a computed tomography (CT)-based radiomics and deep learning (DL) fusion model for predicting non-invasive OLNM.
Methods: Patients with radiologically node-negative lung adenocarcinoma from two centers were retrospectively analyzed.
Front Psychiatry
February 2025
Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
Background: The severe functional impairment and poor prognosis of early-onset schizophrenia (EOS) create a great need to identify effective biomarkers for early diagnosis in young psychiatric patients. Current research indicates a potential link between loss of autophagy function and emotional and behavioral abnormalities in individuals with psychiatric disorders.
Materials And Methods: This study aimed to explore diagnostic autophagy-related endogenous competitive RNA (ceRNA) networks for EOS patients.
Int J Womens Health
March 2025
Department of Reproductive Technology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province, 646000, People's Republic of China.
Objective: To investigate the relationship between the progesterone level on trigger day (P) to basal progesterone (bP) ratio and the outcomes of in vitro fertilization-embryo transfer (IVF-ET).
Methods: A retrospective analysis was conducted on women who received an antagonist protocol, with a P less than 1.5 ng/mL and who underwent fresh embryo transfer.
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