OBJECTIVES: To realize the dynamic visualization of forensic odontology based on the bibliometrics methods, and capture the research hotspots and identify the future development trend. METHODS: Literature articles published from January 1995 to December 2020 were searched according to specific subject words in the core data set of Web of Science. The visualization analysis of publishing country, institution, discipline, author, co-cited journal and keywords was performed by CiteSpace 5.7.R5W software. RESULTS: The annual analysis of publications showed an upward trend of forensic odontology research literature year by year, with the number of annual publications more than 110 in the last five years. Developed countries were the main source of contributions and the average centrality was greater than 0.2. The research of forensic odontology involved multiple disciplines, including stomatology, biology, computer science and medical imaging, with a distinct interdisciplinary feature. A total of 115 nodes were obtained by keyword cluster analysis. The principal line of forensic odontology mainly included individual identification and age estimation and the emergence of hotspots was closely related to new technologies. Population-based odontology investigation, improvement of traditional dental age estimation method and dental age estimation based on new technology were popular research in forensic odontology. CONCLUSIONS Developing countries urgently need to increase the focus on related research. It may be an important direction for the development of forensic odontology to establish and enrich the regional dental database, develop new odontology identification technology combined with frontier and high-end technology, and develop the identification program based on advanced information technology.
Forensic Medicine ; Software ; Bibliometrics

Humans ; Child ; Caregivers ; Singapore ; Software

Objective: To analyze the survival of nasopharyngeal carcinoma patients in Qidong from 1972 to 2016, and provide a basis for the prognosis evaluation and prevention for nasopharyngeal carcinoma patients. Methods: A total of 1 060 registered nasopharyngeal carcinoma patients were followed up for survival outcomes until December 31, 2021. Observed survival rate (OSR) and relative survival rate (RSR) was calculated by Hakulinen method in SURV3.01 software, and Hakulinen's likelihood ratio test was used for statistical difference comparison. Age-standardized relative survival rate (ARSR) was calculated according to the International Cancer Survival Standard (ICSS). Joinpoint 4.7.0.0 software was used to conduct the annual average percentage change (AAPC) in nasopharyngeal carcinoma survival rate. The period from 1972 to 2016 is divided into 9 periods for grouping processing according to 5 years. Results: The OSR of nasopharyngeal carcinoma at 1, 5, 10 years were 63.02%, 34.70% and 24.72%, the RSR at 1, 5, 10 years were 64.44%, 38.98% and 31.64%, respectively. The uptrends of RSR in the nine periods were statistically significant (χ(2)=112.16, P<0.001). The 1, 5, 10 years RSR for males were 62.66%, 35.89% and 27.94%, while the 1, 5, 10 years RSR for females were 68.30%, 45.67% and 39.68%, respectively. There was no statistically significant difference in RSR between males and females (χ(2)=14.16, P=0.656). The 5-year RSR for the age groups of 25-34, 35-44, 45-54, 55-64, 65-74, and over 75 years old were 52.83%, 40.92%, 42.64%, 38.65%, 27.23% and 28.88%, respectively. There was a statistically significant difference in RSR among different age groups (χ(2)=42.33, P=0.003). Moreover, the ARSR of nasopharyngeal carcinoma at 1, 5, 10 years were 63.64%, 37.33% and 27.10%, for males were 61.82%, 35.60% and 25.20%, for females were 68.36%, 43.12% and 32.93%. Period trend showed that the AAPC of 5-ARSR was 2.71% (t=7.47, P<0.001) from 1972 to 2016 in Qidong. The AAPC of 5-ARSR in males and females were 2.63% (t=4.98, P=0.002) and 2.71% (t=6.08, P=0.001). There was statistically significant increase in 5-year ARSR among both genders. Furthermore, the AAPC of 5-year RSR among 25-34, 35-44, 45-54, 55-64, 65-74 and 75+ years old were 2.16% (t=4.28, P=0.004), 3.38% (t=5.06, P=0.001), 1.99% (t=2.82, P=0.026), 2.82% (t=3.39, P=0.012), 2.20% (t=2.82, P=0.026) and -0.91% (t=-0.42, P=0.689), respectively. Except for the 75+ years old age group, the other age groups were significantly upward trend. Conclusions: The overall survival rate of nasopharyngeal carcinoma in Qidong from 1972 to 2016 has shown an upward trend. It is necessary to introduce standardized multi-disciplinary treatment mode to improve treatment effect and survival rate.
Humans ; Male ; Female ; Aged ; Nasopharyngeal Carcinoma ; Survival Rate ; Prognosis ; Software ; Nasopharyngeal Neoplasms ; China/epidemiology* ; Incidence

With the gradual maturity of sequencing technology, many microbiome studies have published, driving the emergence and advance of related analysis tools. R language is the widely used platform for microbiome data analysis for powerful functions. However, tens of thousands of R packages and numerous similar analysis tools have brought major challenges for many researchers to explore microbiome data. How to choose suitable, efficient, convenient, and easy-to-learn tools from the numerous R packages has become a problem for many microbiome researchers. We have organized 324 common R packages for microbiome analysis and classified them according to application categories (diversity, difference, biomarker, correlation and network, functional prediction, and others), which could help researchers quickly find relevant R packages for microbiome analysis. Furthermore, we systematically sorted the integrated R packages (phyloseq, microbiome, MicrobiomeAnalystR, Animalcules, microeco, and amplicon) for microbiome analysis, and summarized the advantages and limitations, which will help researchers choose the appropriate tools. Finally, we thoroughly reviewed the R packages for microbiome analysis, summarized most of the common analysis content in the microbiome, and formed the most suitable pipeline for microbiome analysis. This paper is accompanied by hundreds of examples with 10,000 lines codes in GitHub, which can help beginners to learn, also help analysts compare and test different tools. This paper systematically sorts the application of R in microbiome, providing an important theoretical basis and practical reference for the development of better microbiome tools in the future. All the code is available at GitHub github.com/taowenmicro/EasyMicrobiomeR.
Software ; Microbiota ; Sequence Analysis, DNA ; Language

A user-friendly teaching software for visual analysis of acupoint compatibility laws has been developed based on the principles of partial order mathematics. This software is designed to provide auxiliary teaching of structured organization and visualization of law knowledge of compatibility data of acupuncture and moxibustion prescriptions from ancient texts, textbooks, and clinical case records. The software is installed as a plugin in the Microsoft Office Excel, allowing the generation of visually appealing graphs and associated rules that align with the cognitive patterns of teachers and students majoring in acupuncture and moxibustion. Its aim is to facilitate the discovery and analysis of underlying patterns and structured knowledge embedded in acupoint compatibility data, thus contributing to the enhancement of teaching effectiveness in acupoint compatibility.
Humans ; Acupuncture Points ; Acupuncture Therapy ; Moxibustion ; Acupuncture ; Software ; Meridians

Data-independent acquisition (DIA) is a high-throughput, unbiased mass spectrometry data acquisition method which has good quantitative reproducibility and is friendly to low-abundance proteins. It becomes the preferred choice for clinical proteomic studies especially for large cohort studies in recent years. The mass-spectrometry (MS)/MS spectra generated by DIA is usually heavily mixed with fragment ion information of multiple peptides, which makes the protein identification and quantification more difficult. Currently, DIA data analysis methods fall into two main categories, namely peptide-centric and spectrum-centric. The peptide-centric strategy is more sensitive for identification and more accurate for quantification. Thus, it has become the mainstream strategy for DIA data analysis, which includes four key steps: building a spectral library, extracting ion chromatogram, feature scoring and statistical quality control. This work reviews the peptide-centric DIA data analysis procedure, introduces the corresponding algorithms and software tools, and summarizes the improvements for the existing algorithms. Finally, the future development directions are discussed.
Humans ; Proteomics/methods* ; Reproducibility of Results ; Peptides/chemistry* ; Software ; Algorithms ; Tandem Mass Spectrometry/methods* ; Proteome/analysis*

The Monte Carlo N-Particle (MCNP) is often used to calculate the radiation dose during computed tomography (CT) scans. However, the physical calculation process of the model is complicated, the input file structure of the program is complex, and the three-dimensional (3D) display of the geometric model is not supported, so that the researchers cannot establish an accurate CT radiation system model, which affects the accuracy of the dose calculation results. Aiming at these two problems, this study designed a software that visualized CT modeling and automatically generated input files. In terms of model calculation, the theoretical basis was based on the integration of CT modeling improvement schemes of major researchers. For 3D model visualization, LabVIEW was used as the new development platform, constructive solid geometry (CSG) was used as the algorithm principle, and the introduction of editing of MCNP input files was used to visualize CT geometry modeling. Compared with a CT model established by a recent study, the root mean square error between the results simulated by this visual CT modeling software and the actual measurement was smaller. In conclusion, the proposed CT visualization modeling software can not only help researchers to obtain an accurate CT radiation system model, but also provide a new research idea for the geometric modeling visualization method of MCNP.
Radiation Dosage ; Software Design ; Tomography, X-Ray Computed/methods* ; Software ; Algorithms ; Phantoms, Imaging ; Monte Carlo Method

According to the current domestic laws and regulations of the medical devices classification management, combined with the characteristics of digital therapeutics products and the existing status of classification management of medical software products in China, and drawing on international classification management experience, this study discusses and analyzes the attribute definition and classification of digital therapeutics software products, with a view to provide reference for the classification management of digital therapeutics software products.
China ; Software

Objective: To examine the application value of 3D Slicer software assisted domestic frameless stereotactic robot in biopsy of intracranial lesions. Methods: A retrospective analysis was performed on 80 patients who admitted consecutively and underwent intracerebral lesions biopsy with the domestic frameless stereotactic robot at Department of Neurosurgery, Aerospace Central Hospital from January 2019 to December 2021. There were 36 males and 44 females, with a mean age of (38.5±18.0) years (range: 6 to 71 years). Before surgery only enhanced T1-weighted three-dimensional magnetization prepared gradient echo sequences and diffusion tensor imaging scans were performed. Self-reconstruction of intracranial lesions, cerebral cortex and blood vessels was carried out using 3D Slicer software system after the DICOM format imaging data of 80 patients were collected. These imaging data were merged to the workstation of the domestic frameless stereotactic robot for preoperative surgical planning and the surgical puncture path was designed to avoid blood vessels in the brain functional area, cerebral cortex and sulcus. Results: All frameless stereotactic biopsy were successfully performed. Postoperative pathological diagnosis included 50 cases of diffuse astrocytic and oligodendroglioma, 15 cases of lymphoma, 5 cases of metastatic tumors, 5 cases of inflammatory demyelinating disease, 2 cases of inflammatory granuloma, 1 case of hemangioma, 1 case of acute lymphoblastic leukemia intracranial invasion and 1 case of seminoma. The positive diagnosis rate was 100% (80/80). Postoperative imaging confirmed that the puncture path and target were accurately implemented according to the preoperative planning, and the target error was (1.32±0.44) mm (range: 0.55 to 1.99 mm). One case of puncture-related bleeding occurred at the target after surgery and improved after treatment. Conclusion: The three-dimensional multimodal images reconstructed by the 3D Slicer software before operation could help the surgeons make the preoperative planning and reduce the risk of stereotactic brain biopsy.
Male ; Female ; Humans ; Child ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Brain Neoplasms/pathology* ; Diffusion Tensor Imaging ; Retrospective Studies ; Robotics ; Biopsy ; Software ; Stereotaxic Techniques

For the detection and identification of abnormal nodular tissues on the body surface, a microwave sensor structure loaded with a spiral resonator is proposed in this paper, a sensor simulation model is established using HFSS software, the structural parameters are optimized, and the actual sensor is fabricated. The S21 parameters of the tissue were obtained when nodules appeared by simulation, and the characteristic relationship between the difference of S21 parameters with position was analyzed and tested experimentally. The results showed that when nodules were present in normal tissues, the curve of S21 parameter difference with position change had obvious inverted bimodal characteristics, and the extreme value of S21 parameter difference appeared when the sensor was directly above the nodules, which was easy to identify the position of nodules. It provides an objective detection tool for the identification of abnormal nodular tissues on the body surface.
Microwaves ; Recognition, Psychology ; Computer Simulation ; Software