Experiment Study Research Articles

Evaluation of privacy protection methods of public service advertising visual design in the perspective of artificial intelligence internet of things.

With the widespread application of monitoring technology and network storage technology, there are some privacy issues in the process of public service advertising visual design and the process of pushing public service advertising visual design works. Researching the privacy protection method of public service advertising visual design is of great significance to protecting the privacy data security of public service advertising visual designers and the personal privacy of other citizens. This paper proposes a digital watermark privacy protection method and a public service advertising visual design work push privacy protection method, and conducts a privacy protection experiment study on public service advertising visual design. The digital watermark privacy protection method and the public service advertising work push privacy protection method are used to provide an innovative solution for public service advertising privacy protection. The study shows that the evaluation score of the digital watermark privacy protection method is 11.05% higher than that of the traditional passive privacy protection method; the average feasibility evaluation score and the average effectiveness evaluation score of the privacy protection method for the public service advertising visual design work push by experts are 86.8 and 90.66 respectively. Combining the perspectives of artificial intelligence and the Internet of Things, this paper proposes a digital watermark privacy protection method, emphasizing practicality, and providing new ideas for privacy protection of public service advertising visual design.

Engineering enzyme conformation within liquid-solid hybrid microreactors for enhanced continuous-flow biocatalysis

The artificial engineering of an enzyme’s structural conformation and dynamic properties to promote its catalytic activity and stability outside cellular environments is highly pursued in industrial biotechnology. Here, we describe an elegant strategy of combining the rationally designed liquid-solid hybrid microreactor with a tailor-made polyethylene glycol functional ionic liquid (PEG-IL) microenvironment to exercise a high level of control over the configuration of enzymes for practical continuous-flow biocatalysis. As exemplified by a lipase driven kinetic resolution reaction, the obtained system exhibits a 2.70 to 30.35-fold activity enhancement compared to their batch or traditional IL-based counterparts. Also, our results demonstrate that the thermal stability of encapsulated lipase can be significantly strengthened in the presence of PEG groups, showcasing a long-term continuous-flow stability even up to 1000 h at evaluated temperature of 60 oC. Through systematic experiment and molecular dynamics simulation studies, the conformational changes of the active site cavity in the modified lipases are correlated with enzymatic properties alteration, and the pronounced effects of PEG-groups in stabilizing enzyme’s secondary structures by delaying unfolding at elevated temperatures are identified. We believe that this study will guide the design of high-performance enzymatic systems, promoting their utilization in real-world biocatalysis applications.

Enhanced heat transfer of nanocellulose–graphene membrane: experiment and molecular dynamics simulation study

Enhanced heat transfer of nanocellulose–graphene membrane: experiment and molecular dynamics simulation study

Choice of primary healthcare providers among population in urban areas of low- and middle-income countries—a protocol for systematic review of literature

IntroductionStrengthening and reforming the urban primary healthcare (PHC) system is essential to efficiently deliver need-based healthcare services to the rapidly increasing urban poor population. Such reforms of PHC system need to emphasize the opinion of patients in co-designing services in order that delivery of services can be accessed effectively by the urban population in a timely and low-cost way. Hence, it is important to identify the preference of urban population while choosing healthcare providers. The aim of this proposed protocol is to summarize a planned systematic review of existing evidence on the attributes considered for choosing PHC providers in urban settings of low- and middle-income countries (LMICs), as classified by the World Bank.Methods and analysesAn inclusive literature search will be conducted in electronic databases including Pubmed/MEDLINE, Embase, Global Health, Cochrane Library, Web of Science, and Scopus. Databases will be searched from the earliest date of entry until March 30, 2024. Database search will be supplemented by manual search of citations, reference lists, and grey literature sources. Following the pre-set inclusion and exclusion criterion, two researchers will independently screen all the retrieved studies in Covidence. Any discrepancies will be resolved through a discussion between two researchers, and if disagreements persist, a third reviewer will be consulted. The methodological quality of included studies will be appraised using checklist for Conjoint Analysis studies and the Mixed Methods Appraisal Tool (MMAT). An Excel-based data extraction table will be developed, piloted, and refined during the review process. Preference attributes will be identified and analyzed according to their types. The systematic review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta‑Analyses (PRISMA) guidelines.DiscussionThe identification of attributes, their influence on preference, and heterogeneity with socioeconomic characteristics of the population will help the policymakers and researchers to design targeted PHC interventions. Such evidence will be also useful to design choice experiment studies to quantify the preferred attributes of PHC providers in urban context of LMICs.Systematic review registrationPROSPERO CRD42023409720.

Patient Preferences with Anti-Vascular Endothelial Growth Factor Treatment for Neovascular Age-Related Macular Degeneration and Diabetic Macular Edema: A Multinational Discrete Choice Experiment Study.

New anti-vascular endothelial growth factor (VEGF) treatments are emerging for the treatment of diabetic macular edema (DME)/neovascular age-related macular degeneration (nAMD). This study aimed to explore the treatment attributes patients find important when deciding on treatment options. This noninterventional survey study assessed treatment preferences through a discrete choice experiment (DCE) among patients with DME/nAMD in the United States, Canada, France, Italy, Spain, and the United Kingdom. The DCE design was informed by a targeted literature review and qualitative interview research and included five treatment attributes: mode of administration, frequency of examinations, frequency of injections or refills, likely change in visual acuity, and eye-related side effects. Conditional logit models were used to analyze the choice data. Overall, 537 patients completed the DCE (DME, n = 173; nAMD, n = 364). Patients reported preferring "injection" over "implant surgery and refills" and better visual outcomes over "stabilization", which were also the most important attributes driving preference (35.1% and 31.5%, respectively). They also showed a preference for less-frequent treatment and examinations and for "mild-moderate, frequent" over "severe, rare" side effects. These findings were generally consistent across the two conditions, although significant differences were found depending on anti-VEGF treatment duration (nAMD, DME) and number of reported barriers (nAMD). Patient preferences for treatment are driven by several factors. Considering these is essential when designing/introducing new therapies. Individual treatment preferences should be identified and given key consideration when helping patients select from an expanding array of treatment options.

Saline seepage circulation experiment study on low plastic limit clays combined with microscale tests and the fractal theory

Saline seepage circulation experiment study on low plastic limit clays combined with microscale tests and the fractal theory

Inhibitory performance and mechanism analysis of modified fly-ash inhibitor on the coal spontaneous combustion: A combined study of laboratory experiments and molecular dynamic simulation

To effectively inhibit the occurrence and development of coal spontaneous combustion (CSC), ammonium polyphosphate was grafted onto fly ash cenospheres (FAC) through co-condensation, acid-base modification, and amidation to prepare a modified fly ash inhibitor (PMFAC) in this study. Then, SEM, TG-FTIR, in-situ FTIR, and molecular dynamics simulation were synthetically utilized to explore the inhibition effect and mechanism of PMFAC on CSC. The results demonstrated that the nitrogen- and phosphorus-containing compounds were successfully attached to the surface of PMFAC, which are effective components for inhibiting CSC. Besides, PMFAC effectively increased the characteristic temperatures in CSC process, and an addition of 45 % PMFAC increased the ignition point by 16 °C. The inhibitors can significantly inhibit the production of CO2, CO, CH4, and H2O during the CSC process. Additionally, PMFAC also had a strong inhibitory effect on hydroxyl, alkyl, and carbonyl groups involved in the reaction process. The Eα increased progressively with the increase of PMFAC concentration, with the largest growth rate reaching 64.4 %. The main reaction path of •OH/•O/O2 consumption during CSC under the action of PMFAC was obtained through molecular dynamics simulations. The research results have important theoretical and engineering significance for preventing CSC in goaf.

Experiment and Simulation Study on the Adsorption Interaction between a Fluorescent Tracer and a Montmorillonite Crystal in Drilling Fluid.

The adsorption interaction of oil field tracer in drilling fluid plays a significant role in tracer monitoring (TM) technology in the petroleum industry. In this work, the adsorption performances of Rhodamine B (RhB+) and fluorescein sodium (Fln-) tracers with montmorillonite (MMT) crystal in drilling fluid were investigated by both experimental and simulation methods. For the experimental aspect, the macroscopic results indicate thermodynamic monolayer adsorption by the Langmuir model and kinetic chemical adsorption by the pseudo-second-order (PSO) model. As a result, MMT shows a larger adsorption capacity (qm) for RhB+ than for Fln- with but stronger adsorption spontaneity (ΔrGmθ) for Fln- than for RhB+ with kJ mol-1 < kJ mol-1. Meanwhile, the interaction rate (k2) of Fln- was shown to be faster than that of RhB+ with . For simulation insight, MMT shows much higher system stability (E) for Fln- than for RhB+ with and . Meanwhile, the microscopic simulation results reveal configuration changes and site distinctions for RhB+ and Fln- interactions with the MMT crystal. The different adsorption responses were explained by proposing an interaction mechanism of force dominance and position orientation. Specifically, Fln- was deduced to interact with metal (Al, Ca) and metalloid (Si) elements in the MMT crystal interlayer by "upright-insertion" orientation while RhB+ was deduced to interact with oxygen atoms on the MMT crystal surface by a "flat-lying" orientation. Hydrogen bonds, the electrostatic interaction, and the coordination effect were revealed to dominate for the interaction of tracer adsorption. This work provides both performance and mechanism investigation of fluorescent tracer adsorption interaction with the MMT crystal in drilling fluid, which is of great significance in reservoir exploitation.

Decoding decision-making: The interplay of cognitive processes and working capital management constraints in new ventures

ABSTRACT This research delves into the relationship between managerial cognitive frameworks, particularly construal levels, working capital management constraints, and new venture performance. We posit that higher construal levels positively influence venture performance, while working capital management constraints have a detrimental effect, reflecting challenges in resource allocation and cash flow. Our study also suggests that these constraints can temper the benefits of high construal levels on performance. Using a mixed-method approach, we gather data from recently IPOed firms (Study 1) and an MBA cohort experiment (Study 2). Our findings elucidate the intricate interplay between cognitive orientation and financial constraints, offering novel insights into new venture operational management. This research enriches venture financing literature and offers valuable insights for decision-makers navigating the entrepreneurial realm.

A Metric-Based Detection System for Large Language Model Texts

More efforts are being put into improving Large Language Models’ (LLM) capabilities than into dealing with their implications. Current LLMs are able to generate high quality texts seemingly indistinguishable from those written by human experts. While offering great potentials, such breakthroughs also pose new challenges for safe and ethical uses of LLMs in education, science, and a multitude of other areas. To add up, the majority of current approaches in LLM text detection are either computationally expensive or need access to the LLMs’ internal computations, both of which hinder their public accessibility. With such motivation, this paper presents a novel metric learning paradigm for detection of LLM-generated texts that is able to balance among computational costs, accessibility, and performances. Specifically, the detection is based on learning a similarity function between a given text and an equivalent example generated by LLMs that outputs high values for LLM-LLM text pairs and low values for LLM-human text pairs. In terms of architecture, the detection framework includes a pretrained language model for the text embedding task and a newly designed deep metric model. The metric component can be trained on triplets or pairs of same-context instances to signify the distances between human texts and LLM ones while reducing that among LLM texts. Next, we develop five datasets totalling over 95,000 contexts and triplets of responses in which one from human and two from GPT-3.5 TURBO or GPT-4 TURBO for benchmarking. Experiment studies show that our best architectures maintain F1 scores in between 0.87 to 0.95 across the tested corpora in multiple experiment settings. The metric framework also demands significantly less time in training and inference compared to the RoBERTa, LLaMA 3, Mistral v0.3, and Ghostbuster, while keeping 90% to 150% performances of the best benchmark.

Oxygen vacancy-mediated Bi2WO6/FeOOH heterojunction for efficient photo-Fenton degradation antibiotics and synergistic sterilization

Photo-Fenton as the advanced oxidation technology shows great potential in water purification, which is limited by the sluggish reaction kinetics. Herein, oxygen vacancy-mediated Bi2WO6/FeOOH (Vo-BWO/FeOOH) heterojunction has been successfully constructed and performs superior performance for degradation antibiotic wastewater and antibiotic resistant bacteria (ARB) inactivation. The optimal photo-Fenton degradation rate for TCH achieves 0.0833 min−1 over oxygen vacancy-rich BWO/FeOOH (Vo-r-BWO/FeOOH). The degradation rate of tetracycline reached 100 % within 60 min, while the removal efficiency of E. coli resistant to tetracycline, ampicillin, and kanamycin was 94.1 % at 80 min. Moreover, Vo-r-BWO/FeOOH heterojunction also exhibits excellent durability, strong removal ability for multiple antibiotics and exceptional activity in a practical water environment. The comprehensive study of experiment and density functional theory (DFT) calculations confirms that the synergistic effect of oxygen vacancies accelerates the interfacial charge carriers’ migration and adsorption-activation of H2O2. Finally, the degradation pathway and toxicity of intermediates have been ascertained. This work provides a valuable strategy for the remediation of antibiotic wastewater resources.

Experimental study on the influence of operating parameters of plug flow on thermal efficiency of direct absorption solar collector with Fe3O4 nanofluid

In this paper, the influence of operating parameters of plug flow on thermal efficiency of direct absorption solar collector (DASC) using Fe3O4 nanofluid (0.05–0.2 wt%) was experimentally studied, the DASC is a device that directly converts sunlight into heat by using a working fluid with high thermal conductivity. As a result, the outlet temperature and efficiency of DASC was affected by the ratio of length of liquid plug to the inner diameter of the tube, the working time of air compressor, the mass flow rate, the inlet temperature, solar radiation and concentration of the Fe3O4 nanofluid. When the plug flow mode was implemented, the energy gained and stored exhibited a notable enhancement compared to the regular flow mode. Furthermore, the DASC exhibited the highest efficiency when the L/D were 1.7 which was 27.7 % higher than that of regular flow mode. In addition, the inlet temperature was inversely proportional to the efficiency cause the heat loss to the environment.The maximum performance of the direct absorption solar collector was obtained when 0.1 wt% Fe3O4 nanofluid was used as the working fluid with plug flow mode.

Stereodivergent Synthesis of Chiral Hydrobenzofuranpyrrolidines by Catalytic Asymmetric Dearomative Cyclization and Controlled Epimerization

AbstractA methodology to access stereoisomeric sets of products bearing multiple stereogenic centers is still a significant challenge in asymmetric catalysis. We present herein our experimental studies on the stereodivergent synthesis of chiral hydrobenzofuran‐fused pyrrolidines with three stereogenic centers via organocatalytic asymmetric dearomative cyclization and epimerization process. Chiral bifunctional thiourea catalyst could successfully promote the enantioselective dearomatization cyclization of 2‐nitrobenzofurans with o‐hydroxy aromatic aldimines, which enabled the synthesis of (3S,3aR,8bR)‐hydrobenzofuran[3.2]pyrrolidines in 79–92% yields with &gt;20:1 stereoselectivities and 93–&gt;99% enantio‐selectivities. While catalytic amount of DBU could induce the direct intramolecular epimerization of (3S,3aR,8bR)‐hydrobenzofuran[3.2] pyrrolidines to its diastereomers (3R,3aR,8bR)‐hydrobenzofuran[3.2] pyrrolidines in 72–87% yields without loss of stereoselectivities. The mechanistic pathways of the epimerization process were investigated by a series of control experiments study. This work provides an alternative and forward solution for the stereodivergent preparation of functionalized pyrrolidines with potential bioactivities.

Climate change and plant pathogens: Understanding dynamics, risks and mitigation strategies

AbstractClimate change is reshaping the interactions between plants and pathogens, exerting profound effects on global agricultural systems. Elevated tropospheric ozone levels due to climate change hinder plant photosynthesis and increase vulnerability to biotic invasion. The prevailing atmospheric conditions, including temperature and humidity, profoundly influence fungal pathogenesis, as each stage of a pathogen's life cycle is intricately linked to temperature variations. Likewise, climate change alters bacterial behaviour, fostering increased production of extracellular polysaccharides by plant‐pathogenic bacteria in warmer temperatures. Heat‐adapted bacteria, such as Burkholderia glumea and Ralstonia solanacearum, are emerging as significant global threats as temperature rise. Viruses, too, respond dynamically to climate shifts, with certain species favouring warmer climates for replication, resulting in expanded geographical ranges and modified transmission patterns. Nematodes, formidable constraints in crop production, exhibit temperature‐dependent life cycles and would have potentially accelerated proliferation and distribution as global warming progresses. Molecular‐level changes in pathogenesis, induced by temperature fluctuations, influence various pathogens, thereby impacting their virulence and interactions with host plants. Modelling studies predict changes in disease risks and distributions under future climate scenarios, highlighting the necessity of integrating climate data into crop disease models for accurate forecasts. Mechanistic and observational models illustrate pathogen behaviours amidst changing environmental conditions, providing crucial insights into future disease dynamics. In addition, controlled experiments study disease responses under simulated climate scenarios, underscoring the urgency for comprehensive research to devise effective resistance strategies against severe plant diseases.

Unravelling the Role of Phytohormones against Heat Stress in Maize

Background: Drought stress is a significant challenge for maize production, causing significant harm to crop growth and yield. In this experiment two set of pot culture experiment was conducted with three replication to assess the effect of phytohormone foliar spray on maize COH(M) 8. Methods: This experiment study was conducted at the Seed Science and Technology, TNAU in the summer season during 2022 and 2023, respectively. One set of potted plants were kept under ambient temperature (34±2°C). Another set of potted plants were raised at elevated temperature of 42°C in the Open Top Chamber. The plants were sprayed with sodium nitroprusside (50 ìM and 75 ìM), brassinolides (0.2 ppm and 0.5 ppm) and salicylic acid (50 ppm and 75 ppm) at 40 and 47 days after sowing along with control. Result: Foliar spraying with sodium nitroprusside 50 ìM and salicylic acid 75 ppm recorded higher plant height, early flowering, pollen viability, chlorophyll content and enzyme activities (catalase, peroxidase and superoxide dismutase) compared to the control plants. As a result, these findings suggest that use of sodium nitroprusside 50 ìM enhances plant defence mechanisms against heat stress in maize.

Study on preparation technology of Qi Yu constitution Yangsheng granules.

Understanding how pharmaceutical formulas target specific illnesses is crucial for developing effective treatments. Enriching ion channel data is a critical first step in comprehending a formula's mechanism of action. This study aims to explore the effective disease spectrum of the Qi Yu granule formula through network pharmacology analysis and backtracking, and analyze its potential curative effects on liver and spleen system diseases, particularly depression and breast cancer. Using pharmacological tools and database analysis, the ion channel data of the formula's components were investigated. The effective disease spectrum was determined, and diseases related to liver and gallbladder, liver depression, and spleen deficiency were identified. Network pharmacology analysis was conducted to backtrack diseases, target gene proteins, and drug compositions. The extraction technology of volatile oil from medicinal herbs was experimentally studied to optimize the preparation process. The effective disease spectrum analysis identified potential curative effects of the Qi Yu granule formula on various diseases, including breast cancer. Backtracking revealed relationships between diseases, target gene proteins, and drug compositions. Experimental studies on volatile oil extraction provided insights into optimizing the preparation process. The study underscores the potential therapeutic benefits of the Qi Yu granule formula for liver and spleen system diseases. By integrating network pharmacology analysis and experimental research, this study offers valuable insights into the formulation and efficacy of the Qi Yu granules, paving the way for further exploration and optimization of TCM formulations.

Model analysis and experiment study for effects of thermal viscous and fluid flow on ventilated acoustic metamaterials labyrinth

In many noise scenarios, ventilation is necessary. The practical realization of noise attenuation under the premise of ensuring ventilation is an urgent problem to be solved. In this paper, a ventilated acoustic metamaterial labyrinth (VAML) is proposed, and the corresponding analytical and numerical computational models are developed considering the thermal viscous effect (TVE). The loss in sound transmission of the VAML is quantitatively obtained and experimentally verified. The theoretical results are compared with the experimental results with an error of 0.6%. By comparing the transmission coefficient and the impedance at the entrance of the side branches, the mechanism of the TVE on the performance of VAML is analyzed, and it is clarified that the TVE is responsible for the sound absorption coefficient. The effects of structure parameters on the transmission coefficient of the VAML are analyzed individually. The results show that the resonant frequency of the system decreases as the length of channel 1 l1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$l_1$$\\end{document}, the length of channel 2 l2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$l_2$$\\end{document}, and the width of channel d increase. By adjusting the magnitude of these three parameters, the control of the resonant frequency can be realized. Meanwhile, as l1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$l_1$$\\end{document}, l2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$l_2$$\\end{document} and ventilation radius R decrease the valley of transmission coefficient decreases which means better noise reduction. Finally, the effect of flow velocity on the transmission coefficient is analyzed, revealing the mechanism of fluid action on macroscopic acoustic properties.

Electrochemical C−O and C−N Arylation using Alternating Polarity in flow for Compound Libraries

AbstractEtherification and amination of aryl halide scaffolds are commonly used reactions in parallel medicinal chemistry to rapidly scan structure–activity relationships with abundant building blocks. Electrochemical methods for aryl etherification and amination demonstrate broad functional group tolerance and extended nucleophile scope compared to traditional methods. Nevertheless, there is a need for robust and scale‐transferable workflows for electrochemical compound library synthesis. Herein we describe a platform for automated electrochemical synthesis of C−X arylation (X=NH, OH) in flow to access compound libraries. A comprehensive Design of Experiment (DoE) study identifies an optimal protocol which generates high yields across&gt;30 aryl halide scaffolds, diverse amines (including electron‐deficient sulfonamides, sulfoximines, amides, and anilines) and alcohols (including serine residues within peptides). Reaction sequences are automated on commercially available equipment to generate libraries of anilines and aryl ethers. The unprecedented application of potentiostatic alternating polarity in flow is essential to avoid accumulating electrode passivation. Moreover, it enables reactions to be performed in air, without supporting electrolyte and with high reproducibility over consecutive runs. Our method represents a powerful means to rapidly generate nucleophile independent C−X arylation compound libraries using flow electrochemistry.

Oxidation states and structural role of iron in sodium iron aluminophosphate glass: A combined study of XAFS experiments and MD simulations

Vitrification has gained global recognition as one of the most mature techniques for solidification of high-level nuclear waste, and borosilicate glass has been widely used in various countries as the base material. However, iron aluminophosphate glass also found advantages in solidify waste forms containing high concentrations of Zr, Mo and rare earth elements. In this work, oxidation states of Fe and its structural role of sodium iron aluminophosphate glass have been investigated using X-ray absorption fine structure spectroscopy experiments and molecular dynamic simulations. Results show that both the Fe2+ concentration and the average phosphorus number around Fe increase with the replacement of Na by Fe; whereas, the average oxygen number around Fe decreases. Fe2+ ions are mainly four-coordinated, and Fe3+ ions are mainly five-coordinated. Moreover, additional Fe content leads to the gradual replacement of Al/P–O–P linkages by Fe2+–O–P linkages, resulting in the enhancement of the chemical durability of the glass.

Hierarchically-porous resin for the adsorption of organic matter in raffinate produced by solvent extraction from the vanadium industry

Solvent extraction wastewater contains high concentrations of organic pollutants and metal ions, making it difficult to treat. This paper presents a method of using hierarchically-porous adsorption resin to recover organics from raffinate and regenerate the resin, addressing secondary pollution in extraction processes. The chosen resin, WS6108, removes over 95 % of organics from raffinate, with high metal ion concentrations enhancing its adsorption efficiency. The article conducted an optimization experiment and mechanism study on WS6108 resin for adsorbing organic matter in vanadium raffinate (OIVR), followed by desorption and recycling tests. Results showed WS6108 resin achieved a 96.7 % adsorption efficiency at a solid–liquid ratio of 24 g/L after optimization. The chosen methanol desorbent achieves over 99 % desorption efficiency for the WS6108 cycle under specific conditions. The resin’s performance remains stable for up to 45 cycles. Adsorption isotherms and kinetic experiments indicate that OIVR adsorption by WS6108 resin is endothermic, non-spontaneous and entropy increasing. Moreover, the adsorption kinetics of OIVR by WS6108 resin followed a pseudo-second-order model, based on the activation energy, liquid film diffusion was considered the main rate-controlling step. A column experiment was conducted to verify that WS6108 resin can be used in real vanadium raffinate to remove organics. Density functional theory (DFT) revealed that strong hydrogen bonding, π-π stacking and excellent adsorption diffusion behavior drive OIVR adsorption. This study aims to increase the use of adsorption to treat oily wastewater generated by solvent extraction.