Self-assembly of DNA molecules at bio-interfaces and their emerging applications for biomedicines

Interfacial assembly has been intensively investigated in fabricating biomaterials and nanodevices for various applications.Recently,due to the precise sequence programmability,unique molecular recognition ability,and good biocompatibility,deoxyribonucleic acid(DNA)has been explored as superior building blocks to assemble at bio-interface for manipulating biological entities.To the best of our knowledge,the advances in this area have not been systematically summarized.To provide an overview of the area,in this review,the recently developed DNA assembly strategies on bio-interfaces were well summarized,and their representative works are exampled to illustrate how to rationally and elaborately design DNA molecules to realize functional integration and emerging of novel biological functionalities with high controllability and programmability.Furthermore,the biomedical applications of DNA assembly at bio-interface are categorially elaborated.The fascinating and unique advantages of DNA assembly systems are fully discussed in the exemplified applications to show the distinguished perspective of DNA in the future development.At the end of this review,the current limitations and challenges in applications and potential improvement strategies for DNA assembly at bio-interface are fully discussed.The future development direction is deliberated.We envision that this review will help scientists in the interdisciplinary fields gain a more comprehensive understanding of the DNA assembly at bio-interface,and therefore jointly promote the advances in this field.

RoBGP:A Chinese Nested Biomedical Named Entity Recognition Model Based on RoBERTa and Global Pointer

Named Entity Recognition(NER)stands as a fundamental task within the field of biomedical text mining,aiming to extract specific types of entities such as genes,proteins,and diseases from complex biomedical texts and categorize them into predefined entity types.This process can provide basic support for the automatic construction of knowledge bases.In contrast to general texts,biomedical texts frequently contain numerous nested entities and local dependencies among these entities,presenting significant challenges to prevailing NER models.To address these issues,we propose a novel Chinese nested biomedical NER model based on RoBERTa and Global Pointer(RoBGP).Our model initially utilizes the RoBERTa-wwm-ext-large pretrained language model to dynamically generate word-level initial vectors.It then incorporates a Bidirectional Long Short-Term Memory network for capturing bidirectional semantic information,effectively addressing the issue of long-distance dependencies.Furthermore,the Global Pointer model is employed to comprehensively recognize all nested entities in the text.We conduct extensive experiments on the Chinese medical dataset CMeEE and the results demonstrate the superior performance of RoBGP over several baseline models.This research confirms the effectiveness of RoBGP in Chinese biomedical NER,providing reliable technical support for biomedical information extraction and knowledge base construction.

Determination of the Postmortem Interval Using Fiber Bragg Grating Sensors

Fiber Bragg grating(FBG)sensors are often used in monitoring activities and to ensure that environmental parameters satisfy industrial requirements.They offer crucial safety measures in the early detection of hazards due to their greatly reduced size,low weight,flexibility,and immunity to electromagnetic interference.These characteristics make FBGs suitable also for use in relation to the human body for in vivo measurements and long-term monitoring.In this study,recent developments are presented with regard to the utilization of these sensors to measure the so-called post-mortem interval(PMI).Such developments rely on numerical simulations based on the Matlab software and monitoring of the rectal temperature,which is one of the main parameters for estimating the PMI.First,the Matlab software is used to solve the Henssge equation for different ambient temperatures and for different body masses;then a Bragg grating sensors is used for post-mortem dating.The results and their accuracy are discussed.

Comprehensive Physicochemical Profiling and Characterization of Neem Plant Leaf Extracts: Insights for Pharmaceutical & Biomedical Applications

This study presents a comprehensive physicochemical analysis of neem plant leaf extracts with a focus on their potential applications in pharmaceutical and biomedical contexts. Utilizing the soxhlet extraction method with n-hexane as the solvent, the study investigated the quantitative and qualitative composition of neem leaf extracts in reference to concentrations. The results revealed a diverse array of compounds, including cyanogenic glycoside, cardiac glycoside, tannin, steroids, phytate, flavone, oxalate, rutin, lunamarin, catechin, spatein, naringin, resveratrol, kaempferol, flavonones, epicatechin, and epihedrine, with notable concentrations. Further analyses indicated shared physicochemical properties, such as carboxyl and hydroxyl groups. Qualitative assessments affirmed the presence of flavonoid and phenolic compounds, while FTIR analysis confirmed the existence of carboxyl and hydroxyl groups. These findings emphasize the potential use of neem leaves as pharmaceutical raw materials due to their antioxidant-rich content. Additionally, the study explored the density, viscosity, saponification value, and foaming power of neem leaf extracts, providing insights into their industrial applicability. GC-MS analyses highlighted the presence of significant chemical compounds, with potential therapeutic implications. Mineral analysis demonstrated essential elements for human and animal nutrition. This study underscores neem plant leaves’ multifaceted potential across pharmaceutical, herbal medicine, cosmetic, and functional food sectors. It lays a solid foundation for further research into the specific health benefits, offering valuable insights for harnessing neem leaves’ potential in innovative products and treatments.

Present Situation and Thinking of the Evaluation and Management of Biomedical Projects in Shenzhen Industrial Park of Shenzhen-Hong Kong Cooperation Zone

Objective To put forward some suggestions for the improvement of the evaluation system of Shenzhen Industrial Park of Shenzhen-Hong Kong Innovation Cooperation Zone by studying the scientific research project evaluation and management system of Japan Agency for Medical Research and Development(AMED).Methods Through literature review,lessons were drawn from the review and management policies and methods of biomedical projects implemented by Japan AMED.Then some reference was provided to the review and management of the projects in Shenzhen Industrial Park.Results and Conclusion A basic review framework has been set up in Shenzhen Industrial Park,which consists of scientific research management institution of Shenzhen Industrial Park,Third-Party Review Institution and Science Committee.However,there are three problems in this system:unclear selection criteria of review experts,insufficient supervision and lack of project evaluation standards.These problems can be solved by establishing an expert think tank,setting up graded project supervisors to have the dynamic monitoring,and developing a general evaluation scale for evaluating scientific research projects in Shenzhen Industrial Park.

Ontology: Footstone for Strong Artificial Intelligence

In the past ten years,the application of artificial intelligence(AI)in biomedicine has increased rapidly,which roots in the rapid growth of biomedicine data,the improvement of computing performance,and the development of deep learning methods.At present,there are great difficulties in front of AI for solving complex and comprehensive medical problems.Ontology can play an important role in how to make machines have stronger intelligence and has wider applications in the medical field.By using ontologies,(meta)data can be standardized so that data quality is improved and more data analysis methods can be introduced,data integration can be supported by the semantics relationships which are specified in ontologies,and effective logic expression in nature language can be better understood by machine.This can be a pathway to stronger AI.Under this circumstance,the Chinese Conference on Biomedical Ontology and Terminology was held in Beijing in autumn 2019,with the theme“Making Machine Understand Data”.The success of this conference further improves the development of ontology in the field of biomedical information in China,and will promote the integration of Chinese ontology research and application with the international standards and the findability,accessibility,interoperability,and reusability(FAIR)Data Principle.

Research proceedings on amphibian model organisms

Model organisms have long been important in biology and medicine due to their specific characteristics. Amphibians, especially Xenopus, play key roles in answering fundamental questions on developmental biology, regeneration, genetics, and toxicology due to their large and abundant eggs, as well as their versatile embryos, which can be readily manipulated and developed in vivo. Furthermore, amphibians have also proven to be of considerable benefit in human disease research due to their conserved cellular developmental and genomic organization. This review gives a brief introduction on the progress and limitations of these animal models in biology and human disease research, and discusses the potential and challenge of Microhyla fissipes as a new model organism.

Recent Progress on Asymmetric Carbon- and Silica-Based Nanomaterials: From Synthetic Strategies to Their Applications

Carbon-and silica-based nanomaterials possess a set of merits including large surface area,good structural stability,diversified morphology,adjustable structure,and biocompatibility.These outstanding features make them widely applied in different fields.However,limited by the surface free energy effect,the current studies mainly focus on the symmetric structures,such as nanospheres,nanoflowers,nanowires,nanosheets,and core-shell structured composites.By comparison,the asymmetric structure with ingenious adjustability not only exhibits a larger effective surface area accompanied with more active sites,but also enables each component to work independently or corporately to harness their own merits,thus showing the unusual performances in some specific applications.The current review mainly focuses on the recent progress of design principles and synthesis methods of asymmetric carbon-and silica-based nanomaterials,and their applications in energy storage,catalysis,and biomedicine.Particularly,we provide some deep insights into their unique advantages in related fields from the perspective of materials’structure-performance relationship.Furthermore,the challenges and development prospects on the synthesis and applications of asymmetric carbon-and silica-based nanomaterials are also presented and highlighted.

DNA: From Carrier of Genetic Information to Polymeric Materials

Research has shown that the DNA molecule can not only store genetic information but also serve as a polymeric biomolecule for the fabrication of functional materials. The unique precise molecular recognition capability and sequence programmability, combined with its good biocompatibility and biodegradability, impart the DNA molecule considerable potential for use in the construction of multifunctional materials. Depending on the composition, DNA-based materials have been generally categorized into pure DNA materials that are entirely composed of DNA and hybrid DNA materials that are composed of DNA and other functional compositions. Recently, we have developed a series of DNA-based materials that can be applied in diagnosis and therapy, and this review summarizes the relative work. Although challenges still exist regarding the real applications of DNA-based materials such as the high cost of DNA, the difficulty in scale-up, and the low resistance to nuclease, we believe that these drawbacks will be overcome with the development of technology, and new opportunities will emerge in the fi eld of diagnosis and treatment.

Recent developments in biomedicine fields for laser induced breakdown spectroscopy

Laser induced breakdown spectroscopy (LIBS) can be used to determine solid, liquid, colloi-dal, and biological samples. It is a promising technique for analysis and characterization of the composition of a broad variety of objects. This review describes in brief the basic prin-ciples and technological aspects of LIBS, and the most recent progress of the various ap-plications of this technique in biomedicine fields will be reviewed in detail, including bio-aerosols detection and identification, tis-sue analysis, mineral analysis in human body, and detection of zinc in human skin. Finally new approaches and the prospects in bio-medicine fields of LIBS technique are de-scribed.

Numerical investigation on electron effects in the mass transfer of the plasma species in aqueous solution

The objective of this work is to contribute an understanding of the effects of electrons in the plasmas on the mass transfer of plasma species in aqueous solution by means of the numerical simulation based on a one-dimensional diffusion-reaction model.The plasma species are divided into two groups,i.e.electrons and the other species,and the mass transfer in the three scenarios has been simulated,including the systematic calculations of the depth distributions of five major reactive species,OH,O3,HO2,O2^-,and H2O2.In the three scenarios,the particles considered to enter into aqueous solution are all the plasma species(the scenario Ⅰ,where the mass transfer of plasma species is a result due to the synergy of the electrons and the other plasma species),the other species(the scenario Ⅱ),and only electrons in plasma species(the scenario Ⅲ),respectively.The detailed analyses on the difference between the depth distributions of each reactive species in these three scenarios show the following conclusions.The electrons play an important role in the mass transfer of plasma species in aqueous solution and the synergy of the electrons and the other plasma species(the electron-species synergy)presents its different effects on the mass transfer.The vast majority of H2O2 are generated from a series of the electronrelated reactions in aqueous solution,which is hardly affected by the electron-species synergy.Compared to the results when only the electrons enter into the liquid region,the electron-species synergy evidently weakens the generation of O2^-,O3,and OH,but promotes to produce HO2.

Physical scientists research biomedicine: a call for caution

It is noticeable that nowadays there are more and more scientists with physical science or engineering background working on or started to work on biomedical projects, but rarely vice versa. This reflects the multi-discipline nature of some projects, however, also at least partially can be explained that biomedical research is seen as trendy, fundable, and likely to get more citations and with results more publishable in high impact journals （1,2）. It is also apparent with some publications and lectures that not all these physical scientists/engineers are well-prepared to work on projects which do not align with their own expertise. Some studies are against very basic principles of pharmacology or biology, while others try to solve medical problems which do not exist clinically. I reviewed a number of submissions including a few from prestigious American universities to Nature journals which made no sense with the study design. Much of manpower and financial resource are being wasteful spent. There are also examples of clinical trials which were ill-planned right from the start and in the end only causing much inconvenience to patients to say at the least. In addition, ample examples exist where experienced physical scientists worked with inexperienced medical scientists and resulted in avoidable failures.

A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.

Data Mining in Biomedicine: Current Applications and Further Directions for Research

Data mining is the process of finding the patterns, associations or relationships among data using different analytical techniques involving the creation of a model and the concluded result will become useful information or knowledge. The advancement of the new medical deceives and the database management systems create a huge number of data-bases in the biomedicine world. Establishing a methodology for knowledge discovery and management of the large amounts of heterogeneous data has become a major priority of research. This paper introduces some basic data mining techniques, unsupervised learning and supervising learning, and reviews the application of data mining in biomedicine. Applications of the multimedia mining, including text, image, video and web mining are discussed. The key issues faced by the computing professional, medical doctors and clinicians are highlighted. We also state some foreseeable future developments in the field. Although extracting useful information from raw biomedical data is a challenging task, data mining is still a good area of scientific study and remains a promising and rich field for research.

Information for Authors Asian Pacific Journal of Tropical Biomedicine

GENERALAsian Pacific Journal of Tropical Biomedicine(APJTB)is administrated by Hainan Medical University and sponsored by Asian Pacific Tropical Medicine Press and aims to set up an acdemic communicating platform for Chinese and scientists all over the world on tropical biomedicine and related sciences.

Asian Pacific Journal of Tropical Biomedicine

APJTB Monthly Aims&Scope Asian Pacific Journal of Tropical Biomedicine (APJTB) is administrated by Hainan Medical University and sponsored by Hainan Medical University Journal Publisher, and aims to establish an international academic communicating platform for researchers of tropical biomedicine and public health workers, especially specialists and scholars of the Asian Pacific region and worldwide on

Information for Authors Asian Pacific Journal of Tropical Biomedcine

GENERAL Asian Pacific Journal of Tropical Biomedicine is sponsored by Hainan Medical University Journal Publisher, and aims to set up an acdemic communicating platform for scientists all over the world on tropical biomedicine and related sciences.The Journal invites concise reports of original research in all areas of tropical biomedicine and related fields, both experimental and clinical, including modern, traditional and epidemiological studies, from any part of the world.

Information for Authors Asian Pacific Journal of Tropical Biomedcine

GENERAL Asian Pacific Journal of Tropical Biomedicine is sponsored by Hainan Medical University Journal Publisher,and aims to set up an acdemic communicating platform for scientists all over the world on tropical biomedicine and related sciences.The Journal invites concise reports of original research in all areas of tropical biomedicine and related fields,both experimental and clinical,including modern,traditional and epidemiological studies,from any part of the world.

Biosensors: Types, features, and application in biomedicine

Fast and precise diagnostic techniques are required for the treatment of many disorders.Biosensors are one of the diagnostic devices that are applicable in biological and medical sciences.Biosensors could be utilized to recognize biological molecules with high sensitivity.Biosensors are consisted of different components and have different types.Each type of biosensor is used in a particular field according to its specific features.Nanobodies are a novel class of antibodies with small size,high affinity,and specificity to their target.The unique properties of nanobodies make them appropriate tools for diagnostic applications.In this paper,we review biosensors,and their features and roles in medicine.Antibody/nanobody-based biosensors are also specifically discussed.