3D Printing for medical devices: Mini review and bibliometric study

The technology of three-dimensional (3D) printing is transforming modern living. 3D printing has been a technical breakthrough because it can swiftly and precisely construct intricate and customized medical items. The study examines the pros and cons of technology as well as the possibilities of 3D printers for medical applications. The study includes bibliometric analysis based on previously published studies as well as a thorough examination of the literature. The paper examines both the benefits and drawbacks of 3D printing as it relates to medical devices. The numerous techniques and applications that can be applied, including stereolithography, fused deposition modeling, and digital light processing, are covered in the article. The outcomes of the systematic literature review demonstrate the possibilities for 3D-printed medical equipment in the fields of surgery, personal gadgets, and eco-friendly based materials. However, because of the delicate nature and intricacy of the materials, combining biodegradable polymers with biological components as a 3D printing material can be an eco-friendly alternative

A review of Microfluidic blood separation techniques

Microfluidic blood separation is a modern biological technology used to separate blood cells from their fluids. Blood cells present in the blood become an important outline of many diseases. To maintain the stability and sterility of blood, a tool with renewable technology and a large capacity is needed. Microfluidic blood separation has important assets, especially changes in the physicochemical properties of blood cells that are used for quick and accurate clinical diagnosis. Dissemination of structural materials and compositions from the separation and sorting of blood uses a technical system that will create this optimal microfluidic blood separation in research. As for this paper structure starts with introduction, then continued with literature review, type of Microfluidic methods, application of Microfluidic, and bibliometric analysis. With those methods the result could be conducted with systematic literature reviews. Therefore, this study is prepared to identify research gaps in topics related to Microfluidic blood separation techniques. Related studies about microfluidic blood separation techniques are identified using bibliometric analysis and systematic literature review of the study search index through database Scopus-indexed publications. The results from this paper reveal the topics in urine as a parameter for Microfluidic separations as the research gap according to Microfluidic separations. This paper expects research on Microfluidic blood separation techniques will continue to be developed to maximize the potential of Microfluidic blood separations in helping the research process

A review of Microfluidic blood separation techniques

Microfluidic blood separation is a modern biological technology used to separate blood cells from their fluids. Blood cells present in the blood become an important outline of many diseases. To maintain the stability and sterility of blood, a tool with renewable technology and a large capacity is needed. Microfluidic blood separation has important assets, especially changes in the physicochemical properties of blood cells that are used for quick and accurate clinical diagnosis. Dissemination of structural materials and compositions from the separation and sorting of blood uses a technical system that will create this optimal microfluidic blood separation in research. As for this paper structure starts with introduction, then continued with literature review, type of Microfluidic methods, application of Microfluidic, and bibliometric analysis. With those methods the result could be conducted with systematic literature reviews. Therefore, this study is prepared to identify research gaps in topics related to Microfluidic blood separation techniques. Related studies about microfluidic blood separation techniques are identified using bibliometric analysis and systematic literature review of the study search index through database Scopus-indexed publications. The results from this paper reveal the topics in urine as a parameter for Microfluidic separations as the research gap according to Microfluidic separations. This paper expects research on Microfluidic blood separation techniques will continue to be developed to maximize the potential of Microfluidic blood separations in helping the research process

Machine Learning Application in Battery Prediction: A Systematic Literature Review and Bibliometric Study

Recently, the popularity of li-ion batteries has attracted many researchers to carry out the battery’s maximum potential. Predicting batteries condition and behavior is part of the process that is considered challenging. ML algorithm is widely applied to overcome this challenge as it demonstrates a successful outcome in optimizing the complexity, accuracy, reliability, and efficiency of battery prediction. Yet, we believe there is a particular research area of battery prediction that can further be explored and enhanced with machine learning capability. Therefore, we perform a systematic literature review and bibliometric study to uncover the gap in the machine learning application in the battery prediction field. This study is divided into four stages: (1) literature search from the Scopus Database, (2) filtering the results based on keywords and prepared criteria using PRISMA method, (3) systematic review from filtered papers to provide further understanding, and (4) bibliometric analysis from visualization created in VOSViewer software. The analysis findings determine battery safety and performance prediction as a potential gap in the scope of machine learning for battery prediction research and provide some insightful information to assist future researchers. We envision this study to encourage further battery research, which will assist in the creation of better, cleaner, safer, and long-lasting energy resources

Battery optimization by machine learning algorithms: Research gap via bibliometric analysis

Technological developments enable low-carbon transitions to be accelerated by conceptualization systems and innovations for research and development to generate clean energy. Batteries are becoming one of the essential parts of the science of electrical power sources. Lithium-ion batteries are part of the change and development factors in technologies that significantly impact the portable devices sector and the development of electric vehicles. Designing the material structure and composition of battery manufacturing with the help of engineering system design will form a much more optimal battery. Machine learning algorithms can easily optimize the battery’s composition through battery experiment test data history to produce a more optimal battery configuration. This study is prepared to identify research gaps in topics related to machine learning for battery optimization. Related studies about machine learning for battery optimization are identified using bibliometric analysis and systematic literature review of the study search index through database Scopus-indexed publications. The results from this paper reveal energy management systems and strategies, hybrid vehicles, other optimization algorithms, battery electrodes, and the safety of batteries as the particular research gap according to machine learning for battery optimization. This paper expects research on battery optimization using machine learning methods will continue to be developed to maximize the potential of machine learning algorithms in helping the research process