Application Status Research Articles

Application Prospect of Multifunctional Hydrogel Coating in Household Field

Hydrogel coatings are regarded as an ideal material for enhancing the health, safety, and environmental friendliness of the home environment, owing to their outstanding antifouling, flame-retardant, anticorrosive, and antibacterial properties. To fully exploit the performance advantages of hydrogel coatings in the domestic realm, this review comprehensively examines their preparation methods, the progress of modification research, and the application status in other fields. It is revealed that hydrogel coatings can not only offer benefits by dint of their inherent flame retardancy and oleophobicity but also encapsulate chemical substances within the porous structure of certain special hydrogel coatings, thereby augmenting their anticorrosive and antibacterial capabilities. Moreover, the favorable interface adhesion between hydrogel coatings and diverse substrates, along with extensive modification research, has furnished novel concepts for applications in the domestic domain, including but not limited to the multifunctional surface modification of soft furniture, kitchen and bathroom furniture, and children’s furniture. The research findings demonstrate that hydrogel coatings hold substantial potential for enhancing the functionality and environmental sustainability of household products.

Application status and considerations of unilateral biportal endoscopy technique

To review the application status, clinical advantages, and complications of unilateral biportal endoscopy (UBE) technique and explore its future development direction. By reviewing recent domestic and international literature, the evolution history of UBE technique, its surgical advantages, and its application effectiveness in various spinal diseases were analyzed, providing a comprehensive review. UBE technique, with its unique dual-channel design, provides a clearer surgical field and more flexible operating space, significantly reduces surgical trauma and postoperative recovery time. UBE technique has demonstrated high safety and effectiveness in the treatment of lumbar disc herniation, spinal stenosis, lumbar instability, and cervical spondylosis. Additionally, the complication incidence of UBE surgery is lower than that of traditional open surgery. In recent years, UBE technique has shown good clinical application prospects and efficacy, but further technical optimization and large-scale clinical research are still needed to ensure the safety and effectiveness. In the future, the combination of UBE technique and intelligent medical and surgical robotics technology is expected to promote the further development of spinal surgery.

CRISPR/Cas Technology in Disease Prevention and Control of Aquatic Animals

ABSTRACTThe CRISPR/Cas genome editing technology, with its advantages of simplicity, high efficiency, and cost‐effectiveness, has become a key tool for dissecting gene function, knocking out harmful/undesirable genes, and repairing defective genes. It has also shown great potential in the genome editing of aquatic animals such as tilapia, carp, salmon, and sea urchins. Disease prevention and control are core areas of aquatic animal research and the aquaculture industry. Novel technologies based on CRISPR/Cas, such as rapid diagnostic kits for aquatic diseases and species‐specific drugs against parasites, have been developed in the disease diagnosis, treatment, and prevention of aquatic animals. Based on our work in these fields, this review summarizes the relevant new technologies and latest progress, aiming to provide readers with a quick and comprehensive understanding of the application status and future trends of CRISPR/Cas technology in the prevention and control of aquatic diseases and to provide a reference for related fields.

Research progress on assessment tools related to occupational fatigue in nurses: a traditional review

Nurse occupational fatigue is a significant factor affecting nursing quality and medical safety. Scientific and effective assessment of occupational fatigue is beneficial for strengthening nurse occupational health management, improving the quality of life for nurses, and ensuring patient safety. This article provides a narrative review of the content, reliability, validity, characteristics, application status, and advantages and disadvantages of assessment tools related to nurse occupational fatigue. These tools include single-dimensional assessment scales (Fatigue Severity Scale, Chinese version of Li Fatigue Scale), multidimensional assessment scales (Fatigue Scale-14, Fatigue Assessment Scale, Multidimensional Fatigue Scale, etc.), and other assessment tools. Our review reveals limitations in existing occupational fatigue assessment tools, such as variability in accuracy and applicability across different populations, and potential biases. These findings underscore the critical role of these tools in nursing management and occupational health, advocating for continuous refinement and innovation. Future research should focus on developing more comprehensive, context-specific tools to address the multifaceted nature of nurse occupational fatigue. Nursing managers must carefully select appropriate tools to effectively identify and mitigate fatigue, thereby enhancing nurse well-being and patient care quality.

Progress and optimization of CRISPR-Cas9/12 application in CAR-T therapy

CAR-T therapy and CRISPR/Cas9 gene editing technology have shown great potential in cancer treatment and gene editing, respectively. Combining these two technologies can significantly improve the effect of cancer treatment. However, CAR-T therapy has problems such as complex production, toxicity and functional failure, while CRISPR/Cas9 technology faces challenges such as off-target effects. This study first reviewed the basic principles of CAR-T therapy and CRISPR/Cas9 technology and their current application status, analyzed the feasibility of applying CRISPR/Cas9 technology to CAR-T therapy, including optimization strategies and examples, and focused on how to reduce off-target effects and enhance T cell function and persistence. The results showed that the application of CRISPR-Cas9/12 technology in CAR-T therapy significantly improved the accuracy of gene editing, therapeutic effects and the realization of personalized medicine. Nevertheless, these advances are also accompanied by ethical issues, especially in areas related to human genes. Therefore, future research needs to pay close attention to and address ethical issues while improving therapeutic effects.

Non-factor Therapies for Hemophilia: Achievements and Perspectives.

Non-factor replacement therapies (NFTs) have been developed to address the limitations of conventional replacement therapies, aiming to improve hemostasis and provide enhanced protection against bleeding episodes and long-term joint damage for patients both with and without inhibitors. Factor VIII (FVIII)-mimetic agents, such as emicizumab, have transformed the management of hemophilia A with inhibitors, offering a lower treatment burden and an effective alternative for those without inhibitors as well. Rebalancing agents, including anti-tissular factor pathway inhibitor agents (concizumab and marstacimab) and serpin inhibitors like fitusiran, have shown promising efficacy for patients with hemophilia B with inhibitors and other hemophilia subtypes. Administered subcutaneously, NFTs generate stable thrombin levels and feature a long half-life, which can shift severe hemophilia toward a milder phenotype. These therapies are effective regardless of inhibitor status and hold potential for application in other bleeding disorders. Evaluating the potential thrombotic risk after implementing mitigation measures, along with the development of anti-drug antibodies (ADAs), remain critical areas for further analysis. NFTs pose additional challenges due to their complex mechanism of action and the absence of a standardized laboratory assessment method. Unresolved issues include optimal management strategies for major surgeries and tailored approaches for safe use in older populations. This review highlights the progress and future potential of NFTs in treating persons with hemophilia.

Dynamic Obstacle Avoidance Technology Based on Multi-Sensor Fusion in Autonomous Driving

With the booming development of artificial intelligence and sensor technology, various types of devices are widely used in daily life and industry. This paper reviews the current state and prospects of multi-sensor fusion technology for dynamic obstacle avoidance in autonomous systems. The purpose of this paper is to discuss the application status and future development direction of multi-sensor fusion technology in dynamic obstacle avoidance. By analyzing the current research results and technical challenges, this paper will summarize how multi-sensor fusion technology can improve the performance of dynamic obstacle avoidance systems, and discuss the application of intelligent algorithms and future research directions The limitations of traditional single-sensor approaches are demonstrated through a single-sensor versus multi-sensor comparison, emphasizing the advantages of combining data from various sensors (e.g. lidar, cameras, and IMUs) to enhance environmental perception. This fusion improves obstacle detection accuracy and system robustness, particularly in complex urban environments. Despite significant advancements, challenges remain, including data management, real-time processing, and computational efficiency.

Study on Vibration Damping Characteristics of Mounting Structure Based on the High Damping Alloy Material

Abstract: The high damping alloy materials, by virtue of the excellent mechanical properties and damping performance generated by the material’s properties and internal friction mechanism, can be employed directly in the reduction of structural vibrations. On the basis of summarising the current research progress and application status of existing damping alloy materials, the damping characteristics of Fe-12Cr-3Al ferromagnetic high damping alloy material were tested and applied to the vibration reduction of an aero-engine lubricating oil tank. Subsequent to this, vibration characteristics simulation analysis and tests were conducted. The results show that the amplitude reduction rate of mounting structures utilising the Fe-12Cr-3Al ferromagnetic high damping alloy is 30% in comparison to Q235 carbon steel. Additionally, the vibration transmission rate can be diminished by 40%. The utilisation of the Fe-12Cr-3Al ferromagnetic high damping alloy in the aero-engine mounting structure has been observed to result in a discernible reduction in vibration.

A state-of-the-art review of novel aerogel insulation materials for building exterior walls

ABSTRACT The unique network-like framework and nanopore structure of aerogel endow it with excellent thermal insulation performance. The thermal conductivity is as low as 0.012 W/(m·K), far lower than 0.035-0.040 W/(m·K) of traditional thermal insulation materials. Research and industrialization of nanoaerogels as building insulation have gained increasing attention in recent years. This paper discusses the application status, existing challenges, and solutions in the field of building external wall energy conservation and insulation based on nanoaerogel materials. First, it reviews the research progress of nanoaerogels and the development status of traditional building exterior wall insulation materials. The external wall using nano aerogel can reduce the heat loss by about 40%. Second, it focuses on the characteristics and research status of several types of aerogel thermal insulation products for buildings. Some products show that the energy efficiency has been improved to 50% in practical applications. Finally, it analyzes existing challenges of nanoaerogels in the application of building external wall thermal insulation and summarizes the development direction of industrialization research. Building external wall thermal insulation and the application and development of aerogels in the field of building energy conservation are facilitated by this analysis.

Advancements and Current Application Status of Bioremediation Technology for Oil‐Contaminated Soil

Advancements and Current Application Status of Bioremediation Technology for Oil‐Contaminated Soil

Hiring intentions at the intersection of gender, parenthood, and social status. A factorial survey experiment in the UK labour market

Abstract Extant literature points to the gender, parenthood, and social status of job applicants as crucial factors influencing employers’ hiring preferences and behaviours. However, little is known about whether and to what extent the intersection of these attributes leads to specific forms of hiring discrimination. This study aims to fill this research gap by examining whether labour market (dis)advantages related to gender, parenthood, and social status occur in an additive or interactive relationship. We conducted a factorial survey experiment in which more than 2,500 UK-based individuals with recruiting experience rated the profiles of fictitious candidates for various job vacancies. We found significant and substantial discrimination against mothers, indicating the existence of a cumulative disadvantage between being a woman and having children, while high-status candidates were more favourably positioned, albeit with noteworthy differences depending on how social status was signalled. Most interestingly, the motherhood penalty was significantly reduced (up to almost half) for high-status candidates, suggesting a compensatory effect of signalling a high status. This novel evidence in the British context highlights the importance of examining the intersection of different dimensions of discrimination and inequality.

Exploring the Current Applications and Effectiveness of ChatGPT in Nursing: An Integrative Review

ABSTRACTAimsTo systematically review the current application status of ChatGPT in nursing and explore its application effects.DesignAn integrative review.MethodsFollowing inclusion and exclusion criteria, two researchers summarised the selected literature and conducted a quality appraisal, followed by narrative synthesis.Data SourcesPubMed, Web of Science and Scopus were searched from January 2022 to June 2024.ResultsA total of 31 papers met the inclusion criteria. Fifteen empirical studies were rated as grade 5, while five were rated as grade 4. The references of a minireview were not recently published and lacked ChatGPT‐related articles, and a systematic review was of low quality. The review focused on three main topics: (1) The subsidiary role of ChatGPT in nursing; (2) Comparison of different models' effectiveness and (3) Existing challenges.ConclusionsWhile adopting new technologies such as ChatGPT, it is important to maintain a balanced perspective on both its benefits and limitations. Nursing professionals must actively address these deficiencies and explore solutions to improve ChatGPT's utility in the field.Implications to the Profession and Patient CareThis review synthesised evidence on ChatGPT's application and highlighted existing challenges in nursing. Nursing researchers, educators and practitioners can further validate these findings to explore its potential in various aspects of nursing practice.ImpactFor researchers, ChatGPT can enhance language quality and summarise findings effectively, but adherence to research standards is crucial. For educators, ChatGPT can serve as an effective information source for students, though caution should be taken to avoid overreliance. For practitioners, ChatGPT can offer useful suggestions for clinical practice, but these should be critically evaluated and not followed blindly, as issues of inaccuracy must be addressed.Reporting MethodThis review adhered to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses.Patient or Public ContributionNo patient or public contribution.

Research of the application of medical bionic robot

Abstract. Medical bionic robotics is one of the research hotspots in today's medical field, which is widely used in minimally invasive surgery, soft bionic robots, endoscopic instruments, and so on. Through reading and organizing related literature, this paper will describe the research status of medical bionic robot application in the form of a review, analyze the existing research results, find the research gaps, explore the optimization direction, and try to put forward the corresponding solutions. Medical bionic robot application technology can still be improved in many aspects to realize more comprehensive functions. Current research work not only explores knowledge or problems in specific fields, but also lays a foundation for future research and provides valuable reference information. This reference may include aspects such as methodology, data analysis techniques, experimental design ideas, theoretical frameworks, etc., which can help other researchers to conduct deeper or broader exploration in this field.

The Application of Virtual Reality Technology in Clothing Product Development

With the rapid development of modern technology, virtual reality technology is gradually emerging in the clothing industry, which has a profound impact on key aspects such as product design, sample clothing production, production management, and supply chain management. This study delves into the specific application status, efficiency advantages, and complex challenges faced by virtual reality technology in clothing product development. Through system analysis, this article provides a detailed explanation of the technology's implementation of digital clothing design, virtual fitting, and efficient integration of 3D modeling and simulation systems. Meanwhile, this article provides a detailed and in-depth discussion on the application details of virtual reality technology in areas such as sample clothing production, production process management, and supply chain operations. The research results show that virtual reality technology has brought new design and management tools to the clothing industry, effectively improving design efficiency, reducing cost expenditures, enhancing user experience, and driving the entire industry towards more efficient, intelligent, and sustainable development.

Application status and prospect of machine learning in the field of enterprise development planning

Abstract. In today's digital information background, data is already an important means of production, various kinds of data continue to grow, and it is difficult to rely on the manpower to deal with such a huge amount of data. Machine learning can learn the law of data change from a large number of data and build a model for analysis, to give accurate and efficient program opinions. With the development of machine learning, deep machine learning in daily life is gradually widespread, and several successful commercial applications such as Google Translate have been born. Based on machine learning technology, this paper studies its application status and prospects in enterprise development planning. The research results show that more and more enterprises now apply machine learning to the planning and summary of the enterprise, at the same time, there are many functions of machine learning to be developed in the enterprise, through more development, enterprises can carry out more reasonable development and planning. The significance of this research is that it can provide specific application programs and solutions for enterprises, and also provide important references and guidance for the future development of enterprises, which is conducive to the healthy development of enterprises. In the future, with the continuous increase in the amount of data, the continuous progress of algorithms and the improvement of computing power, the application of machine learning in enterprise development planning will be more extensive and in-depth.

Technological State and Optimization Analysis of High-Rise Glass Curtain Wall Cleaning Robots

Abstract. With the proliferation of high-rise buildings in urban areas, glass curtain walls are widely used due to their excellent light transmittance and modern appearance. However, these glass curtain walls are prone to accumulating dust, rain stains, and other dirt during use, affecting their aesthetics and transparency, thus requiring regular cleaning. Traditional manual cleaning methods are inefficient and pose significant safety risks. Consequently, high-rise glass curtain wall cleaning robot technology has become a research hotspot. This paper reviews the current research status of high-rise glass curtain wall cleaning robots, which provides a detailed analysis of four main adhesion methods (magnetic adhesion, thrust adhesion, vacuum negative pressure adhesion, and bionic adhesion), four main motion modes (legged, wheeled, tracked, and external assistance), and two main cleaning methods (physical and chemical). For path planning, this paper explores the application status and challenges of regular scanning, random walking, sensor feedback dynamic planning, and bionic path planning. Through the evaluation of the advantages and disadvantages of existing technologies, this paper identifies the main issues faced by each technology and proposes optimization strategies for adhesion technology, motion modes, cleaning efficiency, and path planning. Future directions include improvements in intelligence and automation, multifunctional integration, energy efficiency enhancement, and human-machine collaboration. This paper aims to provide a comprehensive technological review and constructive suggestions to advance high-rise glass curtain wall cleaning robot technology.

The application of electroflocculation (EC) technology in printing and dyeing wastewater

Abstract. Industrial wastewater contains a large number of toxic pollutants, and the total consumption of dyes in the global textile printing and dyeing industry exceeds 587,000 tons per year. Duo to the process of dye production is more complex, the application of processes and materials are more, so many production links will produce a variety of waste, garbage, and the relevant waste dye into the river, lake and sea is up to millions of kilograms. It can be seen that textile printing and dyeing wastewater is the main source of water environmental pollution. If not treated in time, it will not only affect the production efficiency, but also harm the surrounding ecological environment and pose a serious threat to human survival. Scientific and effective intervention of textile industry wastewater and reasonable selection of textile industry wastewater intervention mode are related to the sustainable development of the industry. In recent years, electroflocculation (EC) technology has gradually become a research hotspot due to its advantages of high removal rate, simple operation, small dosage of chemicals, and small impact on the environment, including the intervention of wastewater. This paper will describe the main mechanism of EC and the application status of EC technology is discussed in detail, the limitations and future development trend of this technology are also proposed.

Analyzing The Problems of Chatgpt in Chinese International Education Based on The Classification of Educational Objectives

With the continuous development of generative artificial intelligence technology, ChatGPT has also had a significant impact on the education sector. ChatGPT can assist in the teaching practice of Chinese international education and has shown positive effects in empirical research. However, there is still insufficient research on the challenges and response measures of ChatGPT for the formation of international Chinese language education. Therefore, based on the teaching practice cases of ChatGPT in Chinese international education, this article selects qualitative research methods in methodology, summarizes the current application status and existing problems of ChatGPT in Chinese international education, and provides targeted suggestions in combination with Bloom's educational goal classification method. Research has found that, In the process of assisting Chinese international education, ChatGPT may lead to the subversion of ethical relationships between teachers and students, difficulty in ensuring the accuracy of generative artificial intelligence, or inability to meet the requirements of the artificial intelligence era. Teachers need to further improve their professional qualities, actively promote changes in educational concepts, and avoid technological dependence.

The role of ACSL4 in stroke: mechanisms and potential therapeutic target.

Stroke, as a neurological disorder with a poor overall prognosis, has long plagued the patients. Current stroke therapy lacks effective treatments. Ferroptosis has emerged as a prominent subject of discourse across various maladies in recent years. As an emerging therapeutic target, notwithstanding its initial identification in tumor cells associated with brain diseases, it has lately been recognized as a pivotal factor in the pathological progression of stroke. Acyl-CoA synthetase long-chain family member 4 (ACSL4) is a potential target and biomarker of catalytic unsaturated fatty acids mediating ferroptosis in stroke. Specifically, the upregulation of ACSL4 leads to heightened accumulation of lipid peroxidation products and reactive oxygen species (ROS), thereby exacerbating the progression of ferroptosis in neuronal cells. ACSL4 is present in various tissues and involved in multiple pathways of ferroptosis. At present, the pharmacological mechanisms of targeting ACSL4 to inhibit ferroptosis have been found in many drugs, but the molecular mechanisms of targeting ACSL4 are still in the exploratory stage. This paper introduces the physiopathological mechanism of ACSL4 and the current status of the research involved in ferroptosis crosstalk and epigenetics, and summarizes the application status of ACSL4 in modern pharmacology research, and discusses the potential application value of ACSL4 in the field of stroke.

Exploration of the advantages of targeted isolation of deep-sea microorganisms and genetically engineered strains.

Oil, mineral processing and environmental restoration can be dangerous processes. Attempts are often made to apply microorganisms to reduce the risks, but the adaptability of terrestrial organisms is often weak. Although genetically engineered strains can improve their environmental adaptability through targeted modification, there are problems such as metabolite accumulation, poor plasmid stability and potential pathogenicity. Screening of extremophiles from the natural environment has become an inevitable choice. The special environment in the deep sea (high pressure, low temperature, low nutrition, high salinity) is a natural place for extremophiles to grow and survive, thus screening of extremophiles from the deep sea is conducive to the green and sustainable development of industry. In this paper, the application status and problems of genetically engineered strains are reviewed based on the microorganisms needed for extreme industry. This paper focuses on the application status and advantages of deep-sea microorganisms. It is found that their advantages are strong adaptability, stable gene, friendly environment, simple and convenient technology (compared with genetic engineering), which has a broad industry processes application prospect. This review broadens the scope of microbial applications.