Applicable Method Research Articles

Bleeding control methods for kids: A pediatric approach to the national education campaign-a pilot program.

The project purpose was to design and test an age-appropriate curriculum to train children aged 5 through 13 years on bleeding control methods based on the national Stop the Bleed initiative. Studies have shown that children as young as 5 years are able to perform first aid and cardiopulmonary resuscitation. The project aimed to demonstrate that children as young as 5 years can be taught bleeding control methods. Our hypothesis was that there would be a 60% retention rate on retesting of the children within 1 year across all age groups. The study design was an observational cohort study from February 2018 to January 2020. Participants (aged 5 through 13 years) were trained on bleeding control methods but using an age-based curriculum. The initial training included 500 children. The participants were taught tourniquet applications, wound packing, and direct pressure skills. The curriculum consisted of a 30-minute didactic portion with participant involvement and engagement followed by 30 minutes of hands-on skill training and demonstration. In addition, participants were required to be able to recite the "5 Rules" to helping hurt people. Descriptive statistics were performed. Participants were retested approximately 1 year after the initial training. The retest group only consisted of 227 participants because of a multitude of reasons for the decrease in children. Children were tested in comprehension and application of each skill. Results indicated a greater than 70% retention for all skills across all participants for the retesting after 1 year. The findings indicated that children as young as 5 years can be taught to perform bleeding control methods of tourniquet application, wound packing, and direct pressure. While the results indicate that the older the child, the better the retention, if children were provided multiple trainings over a 1-year period, the retention could be higher. Observational Cohort Study; Level VIII.

Synthesis of α-Aminonitriles via Ammonium-Catalyzed Reactions of Aminoacetonitrile.

α-Aminonitriles are not only broadly useful building blocks but also structural motifs in bioactive molecules. The Strecker reaction is one of the most widely used methods for α-aminonitrile synthesis. However, a severe drawback in Strecker reactions is the required use of a stoichiometric amount of toxic cyanation reagents. Thus, the development of a greener and widely applicable method for the synthesis of aminonitriles from readily available starting materials presents an important yet unmet challenge. We developed a general and new method for the synthesis of aminonitriles from readily available aminoacetonitrile. This method utilized off-the-shelf ammonium salts as catalysts, tolerated air and moisture, and avoided the use of cyanation reagents, which rendered it a greener alternative to the widely practiced Strecker reaction approach. We further illustrated that chiral ammonium-catalyzed asymmetric reactions of N-arylidene aminoacetonitriles could provide chiral α-tertiary and α-quaternary aminonitriles and α-aminonitriles bearing two continuous stereocenters.

Enhancing data-driven-based state of health estimation for diverse battery applications through effective feature construction

Data-driven-based State of Health (SOH) estimation methods are popular for their ability to avoid considering the battery's complex aging mechanisms. However, aging features extracted from specific voltage intervals and the SOH estimation models established under specific conditions may no longer be applicable to other battery applications. This work first reveals the necessary conditions for constructing effective aging features in a partial voltage interval, and specifically proposes an applicable method for determining the voltage interval of constructing aging features based on the incremental capacity curve and the voltage curve's shape. The proposed method can be adapted to different battery applications and is suitable for partial charging conditions. Given the different aging patterns present in different battery types and applications, a feature self-scaling -based online learning strategy is developed to reduce the model's reliance on aging datasets and enable it to adapt to real-time battery aging patterns. The proposed methods are validated through both an actual aging experiment and three publicly available aging datasets, showcasing their effectiveness in extending the applicability of the proposed SOH estimation methods for diverse battery applications.

Efficient and fast arsenate removal from water by in-situ formed magnesium hydroxide

MgO nanoparticles have good As-adsorption capacity in treating As-contaminated wastewater but suffer from high production cost. In this study, instead of using pre-formed MgO nanoparticles, we found that in-situ formed Mg(OH)2 from MgCl2 and NaOH reaction exhibited super high arsenate (As(V)) removal efficiency. Only 1.5 mmol/L of in-situ formed Mg(OH)2 could remove more than 95% As(V) within 10 min to make the As contaminated water (10 mg-As(V)/L) meet the municipal wastewater treatment standard, whereas MgO nanoparticles failed. The Mg-As sludge has an amorphous crystal structure while no Mg(OH)2 phase could be observed. As(V) existed uniformly within the sludge which was confirmed by elemental mapping. A precipitation-adsorption-coagulation mechanism might exist, which could relieve the restriction of limited surface area of solid MgO adsorbents. This study not only reveals an applicable method for efficient removal of trace level As(V) from water but also implies the huge potential of in-situ formed adsorbents in water treatment.

Ethnobotanical survey of medicinal and ritual plants utilized by the indigenous communities of Benguet province, Philippines

BackgroundThe Sto. Niño site in Benguet province, Philippines was once a mining area that has now been transformed into an agricultural land. In this area, there has been significant integration of the three indigenous people (IPs) Ibaloi, Kankanaeys and Kalanguyas with the Ilocano community. These IPs safeguard biodiversity and traditional knowledge, including medicinal plant use. However, the documentation of these plant species and their medicinal applications has not been systematic, with the resultant loss of knowledge across generations. This study aims to document the medicinal and ritual plants used by the indigenous communities at the site, in order to preserve and disseminate traditional medicinal knowledge that would otherwise be lost.MethodsEthnobotanical data were collected in Sto. Niño, Brgy. Ambassador, Municipality of Tublay, Benguet, Philippines, and collected through semi-structured interviews, together with focus group discussions (FGD). A total of 100 residents (39 male and 61 female) were interviewed. Among them, 12 were key interviewees, including community elders and farmers, while the rest were selected through the convenience and snowball technique. Demographic information collected from the interviewees included age, gender, and occupation. Ethnobotanical information collected focused on medicinal plants, including the specific parts of plants used, methods of preparation, modes of treatment, and the types of ailments treated. Ethnobotanical quantitative indices of the relative frequency of citations (RFC) and informant consensus factor (ICF) were calculated to evaluate the plant species that were utilized by the community.ResultsA total of 28 medicinal plants from 20 different families and 6 ritual plants from 5 different families were documented. Asteraceae, Poaceae, and Lamiaceae (10.71%) family are the most mentioned medicinal plant species, followed by Myrtaceae and Euphorbiaceae (7.14%). The most widely used growth form were herbs (46.4%), while leaves (61.5%) were the most utilized plant part, and the preparation of a decoction (62.2%) was the most preferred method of processing and application. The medicinal plants were most commonly utilized for wound-healing, cough and colds, stomachache and kidney trouble, whereas ritual plants were largely used for healing, protection, and funeral ceremonies.ConclusionThis study marks the first report on the medicinal and ritual plants used by a group of indigenous communities in Sto. Niño, Brgy. Ambassador, Tublay, Benguet Province. The data collected show that plant species belonging to the Asteraceae, Poaceae, and Lamiaceae family were the most mentioned and should be further evaluated by pharmacological analysis to assess their wider use for medicinal treatment.

Plant-Leaf Recognition Based on Sample Standardization and Transfer Learning

In recent years, deep-learning methods have significantly improved the classification results in the field of plant-leaf recognition. However, limited by the model input, the original image needs to be compressed to a certain size before it can be input into the convolutional neural network. This results in great changes in the shape and texture information of some samples, thus affecting the classification accuracy of the model to a certain extent. Therefore, a minimum enclosing quadrate (MEQ) method is proposed to standardize the sample datasets. First, the minimum enclosing rectangle (MER) of the leaf is obtained in the original image, and the target area is clipped. Then, the minimum enclosing quadrate of the leaf is obtained by extending the short side of the rectangle. Finally, the sample is compressed to fit the input requirements of the model. In addition, in order to further improve the classification accuracy of plant-leaf recognition, an EC-ResNet50 model based on transfer-learning strategy is proposed and further combined with the MEQ method. The Swedish leaf, Flavia leaf, and MEW2012 leaf datasets are used to test the performance of the proposed methods, respectively. The experimental results show that using the MEQ method to standardize datasets can significantly improve the classification accuracy of neural networks. The Grad-CAM visual analysis reveals that the convolutional neural network exhibits a higher degree of attention towards the leaf surface features and utilizes more comprehensive feature regions during recognition of the leaf samples processed by MEQ method. In addition, the proposed MEQ + EC-ResNet50 method also achieved the best classification results among all the compared methods. This experiment provides a widely applicable sample standardization method for leaf recognition research, which can avoid the problem of sample deformation caused by compression processing and reduce the interference of redundant information in the image to the classification results to a certain degree.

Application Methods of Zinc Sulphate Increased Safflower Seed Yield and Quality under End-Season Drought Stress

Application Methods of Zinc Sulphate Increased Safflower Seed Yield and Quality under End-Season Drought Stress

Effects of self-etch adhesive agitation with diode laser on dentin bond strength.

The present study assessed the effect of active application of self-etch adhesives with diode laser irradiation on the shear dentin bond strength. Sixty bovine incisors, each embedded individually in hard plaster blocks, were divided into two groups based on the adhesive system used: Group 1 Adper Easy One and Group 2 Clearfil SE Protect. Based on the application technique of self-etch adhesives, each main group was further divided into three subgroups: passive application, active application with a micro-brush, and active application with a 976-nm diode laser tip (phototherapy active application). Shear bond strength tests were conducted using a universal testing machine and the data were analyzed by two-way ANOVA. Post hoc multiple comparisons were performed with the Tukey HSD test. Additionally, the statistical analysis of failure mode distribution was carried out using the chi-squared test (p < 0.05). While the adhesive system exhibited significant differences in shear dentin bond strengths, there were no significant differences in application techniques. Regardless of the application technique, Clearfil SE Protect demonstrated significantly higher dentin bond strength than Adper Easy One. In the present study, the utilization of phototherapy through a 976-nm diode laser for the active application of the tested self-etch adhesives demonstrated similar initial dentin bond strengths to conventional application methods.

Protection of Seafarers' Rights and Interests by International Treaties

In 2006, the ILO adopted the Maritime Labour Convention, which has had an important impact on the rights of seafarers worldwide and the promotion of the international maritime industry. In recent years, China's labor and social security legal system has been gradually improved, and legal norms such as the Regulations on Seafarers and the Maritime Traffic Safety Law have been promulgated and implemented successively, laying a certain foundation for the system of labor norms for seafarers. However, these special legislation has some limitations, such as not strong operability and not identical with the international treaty system. This paper mainly studies the framework structure and implementation mechanism of maritime labor conventions, finds out China's application method of international law, and puts forward the shortcomings of China's implementation process and corresponding countermeasures and suggestions suitable for the current situation of Chinese seafarers. By combining theory with practice, this paper uses literature analysis and analysis deduction to find out the strategies that can optimize the implementation mechanism in China. At present, China has made a lot of preparations for the implementation of maritime labor conventions, carried out a lot of legislative activities, and has already acquired relevant legislative experience and technology. Improving the labor supervision system and making full use of the tripartite mechanism platform and industry associations are the top priorities for China to better implement international conventions and protect the rights and interests of seafarers in the next stage.

Metal–Organic Frameworks as Promising Textile Flame Retardants: Importance and Application Methods

We present a review of current research on promising flame retardants using specific methods of applying metal–organic frameworks (MOFs) to the highly flammable fibrous surface of cotton fabric. In this review, we initially address the reasons why the search for new flame retardants has becomes critically important in textile finishing, the area responsible for adhering new functionalities to substrates. This addition of characteristics is closely linked to the nature of the fibers, so the reason for the improvement in cotton fabric in relation to flame retardancy is discussed. Furthermore, the development of highly porous nanomaterials that can generate composites with specific functions is described, as well as their application and methods of integration into textile surfaces. Finally, the main candidates for flame retardant functionality in cellulosic materials are identified. It is also hoped that this work will facilitate researchers to develop and formulate new methods of applying nanomaterials to textile substrates, with a view to becoming a reference for new research into the development of adhesion of emerging materials to traditional materials.

WP6.14 - Automated analysis of operative video in surgical training: Scoping review

Abstract Aims There is an increasing availability of operative video for use in surgical training. Emerging technologies can now assess video footage and automatically generate metrics that could be harnessed to improve the assessment of operative performance. This scoping review explores the current application of automated video analytics in surgical training. Methods PubMed, Scopus, Web of Science and the Cochrane database were searched to identify studies which applied automated video analytics to trainee-performed operations. Search terms included ‘trainee’, ‘video analytics’ and ‘education’. Two reviewers independently screened and extracted data on the methods of analysis, metrics generated and application to training. The Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Review (PRISMA-ScR) guidelines were followed. Results Thirteen studies were identified. Computer vision tracking was the most common method of video analysis. Metrics were generated for processes (e.g. movement of instruments) and outcomes (e.g. intraoperative phase duration). Two studies generated metrics to assess critical safety elements (e.g. critical view of safety in laparoscopic cholecystectomy). Automated metrics were able to differentiate between different skill levels (e.g. consultant vs. trainee) and correlated with traditional methods of assessment. There was a lack of longitudinal application to training and only one qualitative study reported the experience of trainees using automated video analytics. Conclusion Automated video analytics is an emerging field which provides an objective assessment of operative performance. Gathering evidence to demonstrate the impact of long-term use on training outcomes is a priority for future research.

Enhancing cellular and enzymatic properties through in vivo continuous evolution.

Directed evolution seeks to evolve target genes at a rate far exceeding the natural mutation rate, thereby endowing cellular and enzymatic properties with desired traits. In vivo continuous directed evolution achieves these purposes by generating libraries within living cells, enabling a continuous cycle of mutant generation and selection, enhancing the exploration of gene variants. Continuous evolution has become powerful tools for unraveling evolution mechanism and improving cellular and enzymatic properties. This review categorizes current continuous evolution into three distinct classes: non-targeted chromosomal, targeted chromosomal, and extra-chromosomal hypermutation approaches. It also compares various continuous evolution strategies based on different principles, providing a reference for selecting suitable methods for specific evolutionary goals. Furthermore, this review discusses the two primary limitations for further widespread application of in vivo continuous evolution, which are lack of general applicability and insufficient mutagenic capability. We envision that developing generally applicable mutagenic components and methods to enhance mutation rates for in vivo continuous evolution are promising future directions for wide range applications of continuous evolution.

Controlling Prescribing through “Preferred Drug” Targets—The Bavarian Experience

Background: The rising costs of drugs are putting health care systems under pressure. We report on the Bavarian Drug Agreement, which employs prescribing targets for preferred and generic drugs in ambulatory care. Under this agreement, providers are regularly profiled with individual feedback but also possible sanctions. We investigated the degree to which targets were being met (or not) and why failure occurred. Methods: We analysed prescribing data aggregated by practice for the quarter 1/2018. We chose eight specialisation groups and analysed their drug targets with a high prescribing volume, widely missed drug targets (&lt;90%), and drugs preventing drug target achievement. Characterisation of drug targets and preventing drugs was undertaken. Results: Drug targets with a high prescribing volume are mostly achieved, while highly missed drug targets mostly do not affect the main indication area of the specialisation groups considered. Generic drug targets seem to be more easily achieved than recommended drug targets. Paediatrics accounts for the largest number of missed drug targets. Conclusions: The Bavarian tool implemented uses the prescribing volume (DDD) and price components to evaluate the prescription behaviour of physicians. Well-established drugs with demonstrated effectiveness, safety, and lower costs are preferred. Nevertheless, me-too drugs, combination drugs, costly innovations with unclear value, and drugs with application methods of variable convenience challenge the drug prescribers and are reasons for missed drug targets.

Limited role of fungal diversity in maintaining soil processes in grassland soil under concurrent fungicide stress

BackgroundFungicides are an effective tool for protecting crops and maintaining a steady food supply. However, as pathogens continue to evolve, it is crucial to prolong the effectiveness of fungicides by delaying resistance development. A key strategy to achieving this is to combine or rotate fungicides with different modes of action. As fungicides lack specificity, they inevitably affect both pathogenic and non-pathogenic fungi when surrounding environments are unintentionally contaminated. Our study aims to investigate the effects of recommended application methods to prevent resistance development, specifically repeated-single fungicide, simultaneous mixture, and sequential applications on non-target soil fungi, and the subsequent impacts on important soil processes. We used fungicides with different modes of action on soil microcosms inoculated with fungi at varying levels of diversity (3, 5, and 8 species) isolated from a protected grassland.ResultsWe found that repeated treatments of individual isopyrazam and prothioconazole differentially inhibited fungal activity. Although mixture applications are considered more protectant against crop pathogen resistance than repeated application, our study revealed stronger negative effects of simultaneous application on saprobic fungi and consequently on soil processes. However, contrary to expectations, higher fungal diversity did not translate to improved soil function under these conditions.ConclusionsThe simultaneous application of fungicides with different modes of action (MoA) has more pronounced non-target effects on soil compared to the individual or sequential application of fungicides. These non-target effects extend beyond the intended control of pathogenic fungi, impacting saprobic and beneficial soil microbes and the critical processes they drive. When fungicides are applied concurrently, microbial activities in the soil are significantly altered, even in soils with high microbial diversity. Our study emphasizes the importance of carefully considering the unintended consequences of fungicide use in agriculture. As we strive for a secure food supply, it is crucial to investigate the broader environmental impacts of these chemical interventions, including their effects on non-pathogenic fungi and overall soil health.

Effects of liquid-phase carbon combining surfactant coatings on the performance of LiMn0.2Fe0.8PO4 cathode materials

Efforts to reduce the particle size of LiFexMn1-xPO4 materials and apply conductive carbon coatings have yielded substantial benefits in terms of obtaining lithium-ion batteries (LIBs) with enhanced electrochemical performance. However, LiFexMn1-xPO4 materials with small particle sizes and uniform carbon layers cannot be obtained by the conventional high-temperature solid-phase method, which is the most convenient and applicable method for the industrial-scale preparation of the cathode materials used in commercial LIBs. The present work addresses this issue by applying the cationic surfactant cetyltrimethylammonium bromide (CTAB) in conjunction with LiMn0.2Fe0.8PO4 (LMFP) particles, and obtaining a carbon layer by replacing the conventional in-situ solid-phase carbon coating process with a secondary liquid-phase coating process using sucrose as the carbon source. The CTAB surfactant is observed to be uniformly adsorbed on the surface of LMFP particles, and maintains small LMFP particle sizes by operating as a dispersant preventing their agglomeration. Additionally, the carbon network formed by CTAB pyrolysis acts as an intermediate medium ensuring that the conductive carbon layer is uniformly and firmly adhered to the LMFP particle surfaces at a high preparation temperature of 680°C. This composite carbon layer is demonstrated to enhance lithium-ion transport, while concurrently acting as a barrier interfering with manganese diffusion within the electrolyte during charge-discharge cycling. As a result, the optimal LMFP-based cathode material achieves reversible specific capacities of 160 mAh g−1 and 120 mAh g−1 at charge-discharge rates of 0.1 C and 5 C, respectively, and the capacity retention is 88 % after 500 cycles at 1 C. Hence, the results verify that the proposed surfactant-mediated liquid-phase carbon coating process is an effective method for enhancing the overall electrochemical performance of LMFP-based cathode materials.

Colonies under dysbiosis benefit from oxalic acid application: the role of landscape and beekeeping practices in microbiota response to treatment

AbstractThe Varroa destructor mite causes severe losses of Apis mellifera colonies, requiring recurring treatments. One such treatment is oxalic acid (OA), considered ecological. However, it is unclear whether OA affects the honey bee gut microbiota or other hive-associated microbiotas. Herein, we studied the effect of three OA treatments (trickling at 2.1% or 4.2%, and sublimation through Varrox®) upon microbial communities associated with workers’ gut, hive bee bread and pupae, sampled from conventionally or ecologically managed colonies under different anthropization levels (located in urban, rural or mountainous landscapes). We hypothesized that treatment with OA would impact the diversity and composition of bacteria and/or eukaryotic communities, and that the effect would be dose-dependent and specific to the beehive niche. Results showed that the microbiomes of apiaries under different anthropization levels and management strategies differed prior to OA application. Neither the bacterial nor the fungal communities of bee bread and pupae shifted due to OA treatment. Independent of the dosage and the application method (trickling or sublimation), OA induced slight compositional changes in the bacterial profiles of honeybee guts. Those changes were stronger the higher the anthropization (in colonies from urban areas under conventional management). OA treatment reduced the relative abundance of several pathogens, such as Nosema ceranae, and decreased the overall bacterial diversity down to values found in less anthropized colonies. Thus, our results suggest that, aside from managing Varroa infestations, OA could have beneficial effects for stressed colonies while not impairing honey bee resilience from a microbial point of view.

Effects of different source zinc and application methods on growth and yield of wheat (Triticum aestivum L.) under timely sowing crop

Effects of different source zinc and application methods on growth and yield of wheat (Triticum aestivum L.) under timely sowing crop

Ecofriendly bleaching method for cotton fabric: Development of titanium dioxide doped single wall carbon nanocomposites by photocatalytic treatment for sustainable textile pre-finishing applications

This study aimed to find an eco-friendly substitute method and chemical for conventional hydrogen peroxide (H2O2) bleaching of cotton fabric. We developed diverse functional groups containing titanium dioxide-doped single-wall carbon nanotubes (TiO2-SWCNTs) particles, designed a photocatalytic system, and examined the effects of working conditions and functional group variations on the degree of fabric whitening. Throughout the many phases of the chemical development process, X-ray diffraction (XRD), Fourier transform infrared spectroscopy −Attenuated total reflectance (FTIR-ATR) and the scanning electron microscopy (SEM) tests were conducted. In addition, the color spectrum values, the whiteness indexes, the results of the tearing test, SEM and FTIR-ATR findings of 100% cotton textiles were presented that were treated with TiO2-SWCNTs particles using the photocatalytic technique. The test results demonstrated the successful synthesis of various types of TiO2-SWCNTs, leading to a significant enhancement in the whiteness of the cotton fabrics. This increase reached 21.79% using a small amount of nano-chemicals, surpassing the whiteness index value created by the conventional H2O2 bleaching process. Optimal results were achieved by using minimum quantities of substance and working at moderate temperatures. According to this information, it can be concluded that this approach may serve as a substitute for the conventional H2O2 whitening procedure in terms of both the substance utilized and the application method, specifically for treating cotton fabric. Moreover, the statistical analysis revealed that the fabric’s self-cleaning capacity is significantly influenced by the square of temperature and pH.

Biocontrol agent amendments shape the soybean rhizosphere in a cyst nematode (Heterodera glycines) conducive soil over a two-year field trial

Plant-associated beneficial microorganisms play a vital role in promoting plant health, fitness, and disease suppression, leading to improved plant growth and protection against specific plant parasites. Microbial amendments may reduce nematode parasite populations and ensure plant yield, yet their long-term impact on the native plant microbiome under field conditions is not well understood. In this study, we evaluated the effectiveness of biocontrol products against soybean cyst nematode (SCN) using two application methods over a two-year period under field conditions. Pochonia chlamydosporia PC10 (Rizotec), Bacillus methylotrophicus UFPEDA 20 (Onix), and Trichoderma koningiopsis GF 362 were applied either through seed inoculation or in-furrow treatment at planting. The treatments effectively reduced the nematode population, with T. koningiopsis showing significant deviations from the control and leading to a notable increase in yield. No difference in the Shannon diversity index was detected for the alpha-diversity of root-associated 16S, ITS2, and 18S communities. The dominant phyla were Proteobacteria, Acidobacteria, Actinobacteria for 16S; Ascomycota, Basidiomycota, Mortierellomycota for ITS2; and Ascomycota, and Cercozoa for 18S. In the 16S community, T. koningiopsis and B. methylotrophicus caused a 25% increase in the relative abundance of Sphingomonas spp. compared to the control. Additionally, the relative abundance of Mortierella spp. significantly increased by 50% in both the T. koningiopsis and B. methylotrophicus treatments compared to the control. Both treatments also led to a significant reduction in Fusarium spp. by 37.5% and 31.5%, respectively. Co-occurrence network analysis revealed that communities were disrupted after the first application, but grew more intricate and cohesive after the second year of biocontrol product amendment. T. koningiopsis and B. methylotrophicus demonstrated potential in reducing nematode and Fusarium populations, leading to increased yield production. However, under high nematode pressure, relying solely on biocontrol measures does not guarantee a reduction in SCN population or yield improvement. Manipulating the microbial community to reduce harmful organisms and promote biocontrol-related species may offer long-term benefits.

Development model based on visual image big data applied to art management

This paper aims to explore the application of visual image big data (BD) in art management, and proposes and develops a new art management model. First of all, this study conducted extensive research on the overview and application of big data, focusing on analyzing the characteristics of big data and its characteristics and application methods in art management. By introducing image processing (IP) technology, this paper expounds on the application of visual image technology in art management in detail and discusses the classification of computer vision images to determine its application direction. On this basis, this paper proposes the application of visual images and big data in art management from three aspects: the accurate acquisition of visual images, the development model of art management, and the development of visual image technology in art resource management and teaching, and strengthens the development model of art management based on IP algorithm. Experiments and surveys show that the art management model development system built by the newly introduced visual image technology, big data technology, and IP algorithm can increase user satisfaction by 24 %. This result shows that the new model has a significant effect in improving the efficiency and quality of art management, providing strong technical support for the field of art management, while also providing designers with a more accurate tool for assessing market trends, helping to adhere to and promote good design concepts.