64 results about "Forensic identification" patented technology

The invention belongs to the technical field of novel fluorescent materials, and particularly discloses application of a mechanical color change pyrenyl derivative in latent fingerprint fluorescence imaging and extraction. The mechanical color-changing pyrenyl derivative can be selectively combined with fingerprint residual substances under the excitation of ultraviolet light through the unique fluorescence response characteristic, so that potential fingerprints form high-contrast fluorescence imaging on smooth or rough surfaces (such as glass, metal, plastic and the like), and the mechanical color-changing pyrenyl derivative is compatible with conventional camera equipment to realize rapid acquisition. The compound design is based on a modular synthesis route, and has the advantages of simple and convenient synthesis process, controllable raw material cost, high reaction yield and the like. The product has excellent thermal stability and chemical stability, can be stored at normal temperature and does not need special treatment, and the practical application threshold is greatly reduced. Compared with a traditional fingerprint developing technology, the method has remarkable breakthroughs in the aspects of sensitivity, substrate adaptability and operation convenience, and an efficient, economical and environment-friendly novel solution is provided for the fields of criminal investigation, forensic identification and the like.

The invention relates to the field of forensic medicine, and discloses a method and system for identifying smoking behaviors and application of the method and system. The construction method comprises the following steps: respectively obtaining saliva and excrement of a smoking object and a non-smoking object; performing metagenome sequencing to obtain original microbiome data; after processing the original microbiome data, extracting multi-omics feature information, including species information and gene function annotation information; based on a statistical analysis method, carrying out diversity analysis and screening microbial markers and functional genes significantly related to smoking behaviors; constructing a training set and a test set, and training a machine learning model and model evaluation by taking the microbial markers and / or the functional genes as input features; and performing smoking behavior identification on a target sample by using the model, and outputting a prediction result. The accuracy rate of model identification reaches 0.7966, the sensitivity is 0.8750, the specificity is 0.7037, and the method can be applied to health assessment and judicial expertise.

The invention discloses a 26 Multi-InDel genetic marker system for highly degraded sample typing, a detection primer and application of the 26 Multi-InDel genetic marker system, and belongs to the technical field of forensic medicine identification. According to the invention, through bioinformatics screening and experimental verification, a multi-InDel genetic marker system of which the lengths of 26 amplicons do not exceed 125 bp is constructed. The problem that degradation detection material detection and high system efficiency are difficult to consider at the same time is solved. The random matching probability of the system in Han population in Hunan reaches 2.25 * 10 <-17 >, the cumulative paternity exclusion rate is 0.999925, complete typing of highly degraded DNA can be achieved, triad paternity test can be completed, and a new technical scheme which is efficient and compatible with a capillary electrophoresis platform is provided for forensic practice.

The invention discloses a high-throughput composite STR (short tandem repeat) detection system based on next-generation sequencing. The high-throughput composite STR detection system comprises specific primer sequences designed for 291 STR loci; the 291 STR loci are composed of 106 autosome STR loci, one sex identification locus Amelogenin, 148 Y chromosome STR loci and 36 X chromosome STR loci, and the 291 STR loci are composed of 106 autosome STR loci, one sex identification locus Amelogenin, 148 Y chromosome STR loci and 36 X chromosome STR loci; the system is used for performing STR typing and is prepared into a kit for individual recognition, paternity identification and complex sample analysis. The STR detection system covers STR locus combinations of whole chromosomes (autosomes and X / Y chromosomes), breaks through the split design in the prior art, can overcome the limitation of the traditional capillary electrophoresis (CE) technology on complex samples, degraded samples and large-scale detection, improves the detection sensitivity, flux and accuracy, and has a good application prospect. And the requirements of identity identification of complex genetic relationships, mixed samples and disastrous events in judicial expertise are met.

The invention discloses a death reason discrimination method based on a virtual anatomical image, and the method comprises the following steps: S1, data preprocessing: obtaining to-be-discriminated corpse CT image data, and carrying out the preprocessing; s2, feature extraction: inputting the preprocessed three-dimensional image data into a three-dimensional convolutional neural network model for feature extraction, and obtaining a feature vector through forward propagation of the three-dimensional convolutional neural network model; s3, judging a death reason: inputting the feature vector into a classifier for classification to obtain a probability value of each death reason category corresponding to the CT image data, and selecting the category with the highest probability value as a death reason; and S4, interpretability analysis: performing interpretability analysis on a death reason judgment result of the three-dimensional convolutional neural network model by using an LIME algorithm to generate a saliency map. According to the method, the features can be automatically extracted from the virtual anatomical image and the death reason is judged, so that the efficiency of forensic identification is improved.

The invention discloses a medical image-based auricle projection area measurement method and system, and belongs to the technical field of forensic medicine. According to the method, a head CT image sequence is subjected to three-dimensional reconstruction through an improved Marking Cubes algorithm to form a high-precision head three-dimensional model, an auricle region is further extracted through fine segmentation, auricle projection areas are automatically measured at all visual angles through a dynamic angle iterative algorithm, and finally the maximum projection area value is determined. The problems that traditional manual measurement is low in precision and poor in efficiency, and the precision is affected due to the fact that modeling holes are prone to occurring in handheld three-dimensional scanning equipment are solved. The method can be applied to forensic medicine auricle defect quantitative evaluation, and a high-precision and objective basis is provided for judicial expertise.

This invention discloses a wearable intelligent joint range of motion measurement device for forensic clinical identification, belonging to the field of forensic identification equipment technology. The device includes a wearable fixation component, a posture sensing unit, a data processing unit, a storage and interaction unit, and a power supply unit. It synchronously collects limb posture data from both sides of the joint using dual inertial sensors, calculates high-precision joint range of motion, and automatically matches the data using a built-in disability assessment standard library to output a preliminary suggestion for the disability level. This invention offers objective measurement, convenient wear, and traceable data, specifically addressing the problems of large errors, low efficiency, and susceptibility to subjective interference in traditional forensic manual measurements. It is suitable for limb injury disability assessment and possesses strong practicality and professionalism.

The invention discloses a primer group, a kit and a detection method for simultaneously realizing species identification and individual identification, and belongs to the technical field of forensic identification. The invention discloses a primer group for simultaneously realizing species identification and individual identification. The primer group comprises a primer sequence for amplifying 11 animal characteristic sequences and a primer sequence for amplifying 30 individual genetic markers STR. The invention also discloses a kit comprising the primer group, and a detection method for species identification and individual recognition by adopting the primer group. The method is suitable for trace detection materials, and is high in detection speed, low in detection cost and high in accuracy.

The invention relates to the technical field of judicial expertise, in particular to a segmented blood DNA methylation age prediction method and system based on an SVR model, and the method comprises the steps: collecting a DNA sample of a to-be-evaluated object; measuring the methylation level of a predetermined CpG site on the DNA sample to obtain a methylation level parameter; and predicting the age of the to-be-evaluated object according to the methylation level parameter. In order to solve the problem that the prediction error of a prediction method in the prior art is obviously increased along with the increase of age groups, in the scheme, firstly, the age interval of a to-be-evaluated object is predicted, then a prediction model on the corresponding interval is called in each age interval, and effective point locations screened out in the regression analysis process are combined, so that the prediction accuracy of the to-be-evaluated object is improved. The age of the to-be-evaluated object is accurately predicted, and the influence of the age interval on the age prediction error is improved.

This invention discloses a method for predicting sudden cardiac death based on forensic autopsy data using machine learning and its forensic applications, belonging to the fields of machine learning, statistics, and forensic identification. This invention provides a method for screening independent predictors of forensic diagnosis of sudden cardiac death using LASSO regression and logistic regression. Using 10-fold cross-validation, the method selects the minimum lambda(λ) to identify 14 risk factors. Logistic regression ultimately identifies 9 independent predictors, including age, heart weight, left ventricular wall thickness, right ventricular wall thickness, interventricular septum thickness, aortic valve circumference, mitral valve circumference, liver weight, and left kidney weight. A nomogram and a web-based calculator are constructed for predicting sudden cardiac death in forensic practice, thereby determining sudden cardiac death using objective indicators. This method has not been reported worldwide.

The invention relates to the technical field of forensic appraisal, and provides a method and system for constructing a drowning appraisal model based on virtual anatomy, and the method comprises the steps: obtaining image data corresponding to a plurality of corpses obtained through scanning the plurality of corpses based on different CT scanning devices; segmenting each piece of image data by using image processing equipment to obtain a VOI mask file corresponding to each corpse output by the image processing equipment; extracting original image omics characteristics in the VOI mask file; screening specific radiomics characteristics meeting screening conditions in the original radiomics characteristics; and constructing a multi-organ joint identification model based on a training set and a test set generated by the specific radiomics characteristics. According to the scheme, the phenomenon that the identification result is inaccurate due to the influence of external subjective and objective factors can be avoided, and the accuracy of drowning identification is improved.

The present invention provides a forensics method and system based on a virtual knowledge graph and big data. The method includes constructing a domain knowledge graph for the forensics field, obtaining data sources involved in forensics, and establishing a mapping set between the domain knowledge graph and the data sources; constructing evidence extraction and analysis rules based on the mapping set; obtaining a forensics request issued by a user, splitting the forensics request based on the domain knowledge graph to obtain a number of sub-forensics requests; determining an answer set based on the number of sub-forensics requests, and converting the answer set into the format of a knowledge graph to obtain a forensics set. The present invention can provide accurate and comprehensive results in multi-level evidence analysis, provide strong technical support for fields such as forensic identification, and has broad application prospects.

This invention discloses a semen-specific mRNA-cSNP primer composition, kit, and method based on SNaPshot technology, belonging to the field of molecular identification technology. The primer composition provided by this invention includes amplification primers with nucleotide sequences as shown in SEQ ID NO. 1-34 and single-base extension primers as shown in SEQ ID NO. 35-52. This invention further provides a method for identifying human semen samples, including extracting sample mRNA, reverse transcription to obtain cDNA, performing an amplification reaction using amplification primers, and then performing a single-base extension reaction using single-base extension primers. Experimental results show that the identification method of this invention has advantages such as high specificity, high sensitivity, and good reproducibility, and can accurately identify individual semen donors, which is of great significance for achieving accurate semen-related criminal investigations and forensic identification.

This invention provides a method and system for automatically generating forensic reports, relating to the field of judicial information technology. The method includes: acquiring multimodal forensic materials of the object to be identified; extracting key information tags using a multi-label classification model to generate a tag set; constructing a prompt template for forensic identification based on the tag set using an automatic prompt search algorithm; determining key discovery description paragraphs by combining the prompt template and a language model; performing slot processing on the key discovery description paragraphs and the standard forensic report template using a slot classifier to determine the target position of the template; filling the key discovery description paragraphs into the target position of the template and optimizing the description content in the filled template to generate a draft forensic report; determining whether the draft forensic report passes quality verification; if so, outputting the draft forensic report as the forensic report; otherwise, adjusting the key discovery description paragraphs according to the quality verification results.

This invention discloses a cSNP primer composition, kit, and its application for body fluid tracing based on next-generation sequencing technology, relating to the fields of forensic biological evidence and molecular identification technology. The cSNP primer composition includes primer pairs amplifying 34 cSNP genetic markers. The primer composition for body fluid tracing based on next-generation sequencing technology provided by this invention relates to 34 cSNP markers for identifying five types of body fluids. This invention has developed and established a kit capable of determining the body fluid type and genotyping the body fluid donor cSNPs. Using the primer composition or kit provided by this invention, highly consistent genotyping results can be obtained, with high sensitivity and good tissue specificity. It provides an effective detection tool for directly associating common body fluid types and body fluid donors, and is of great significance for further research on body fluid identification and achieving accurate and efficient forensic identification related to body fluids.

The embodiment of the application discloses a kind of information determination methods, comprising: after obtaining the forensics operation of user, the forensics identification of forensics operation, the forensics position of user and the visible range of user are determined and sent to server;Obtain the information available to user in terminal and get evidence file;Determine the file identification of evidence file, and store file identification and forensics identification to target blockchain, file identification and forensics identification have mapping relationship;Receive the user feature of user to be confirmed sent by server, and the user feature is determined based on the forensics identification, forensics position and the visible range of user by server;Determine the target user feature and target storage information of target user based on user feature, and send to server, to make server determine the target identification of target user based on target user feature and target storage information.The embodiment of the application also discloses a kind of information determination device, equipment, computer storage medium and computer program product.

The invention relates to the technical field of molecular detection, in particular to forensic body fluid identification based on GC-MS metabolites. By means of the identified metabolite, body fluid type identification under the low sample size in a forensic identification scene can be achieved, the method has the advantages of being high in sensitivity, good in reproducibility, nondestructive in detection and the like, and a brand new thought is provided for forensic physical evidence identification.

This invention relates to the fields of molecular biology and forensic identification, specifically to a method for bird species identification based on multi-gene co-amplification and nanopore sequencing. The method involves extracting genomic DNA from avian biological samples; using the extracted DNA as a template, amplification is performed using four independent PCR primer pools that specifically target the avian mitochondrial cytochrome C oxidase subunit I gene, cytochrome B gene, 12S rRNA gene, and 16S rRNA gene; after purification of the amplification products, a nanopore sequencing library is constructed and sequenced; finally, bioinformatics analysis, including read length clustering, draft consensus sequence generation, and polishing, is performed on the raw sequencing data to obtain consensus sequences for each target gene. Species identification is then completed by comparing the sequence with a avian sequence database. This method effectively solves the problem that existing technologies cannot simultaneously meet the practical needs of large-scale, rapid, and high-success-rate identification of avian biological samples.

The utility model discloses a forensic appraisal hair sampling device which comprises a hair storage cylinder and an external thread head fixedly arranged at the top end of the hair storage cylinder, and the external thread head is provided with a hair collecting mechanism used for cutting and tightening hair. According to the medical hair taking device, collected hair is stored in the hair storage cylinder, traditional scissors are replaced with the hair collecting mechanism, after pressing and buckling, the hair can be automatically pressed after being cut off from the root, the cut hair is neat in end and directly loaded into the hair storage cylinder to be stored, a blade is arranged in the collecting sleeve and does not make direct contact with the skin, and the hair collecting mechanism is simple in structure and convenient to use. Therefore, the safety of hair collection can be remarkably improved, the scalp of a target person cannot be scratched, the hair sampling device is a disposable article, is packaged through a vacuum bag, does not need to be disinfected before being used, integrates cutting, tightening, collecting and storing of hair, can remarkably reduce the working process of hair sampling, is simple to operate, and is beneficial to improving the working efficiency of forensic hair sampling.

The invention provides a genetic marker detection system containing 68 high-performance autosomal haplotypes and application, and relates to the field of forensic identification. The detection system is formed by combining 68 amplification primer pairs after amplification, and the sequences of the amplification primers are as shown in SEQ ID No. 1 to SEQ ID No. 136. The invention also provides a method for identifying the genetic relationship, which comprises the following steps: S1, collecting a sample, extracting DNA (Deoxyribonucleic Acid), and obtaining a corresponding original sequencing result; s2, comparing an original sequencing result with a human reference genome hg38, and screening to obtain a genetic typing of each MiniHap gene locus; and S3, calculating the likelihood ratio of the specific genetic relationship between the sample pairs, and judging whether the sample pairs have the genetic relationship or not. According to the invention, a haplotype panel containing 68 human MiniHaps gene loci is constructed, and by combining multiple PCR and nanopore sequencing, very high personal identification and genetic relationship identification system efficiency can be achieved, and genetic relationship identification within third level is expected to be realized.

The invention discloses a gene polymorphic site detection kit for predicting the onset risk of drug-induced liver injury of children. The gene polymorphic site combination comprises an rs186666026 site of a ZNF648 gene, an rs375747246 site of a TSPYL6 gene, and an rs559022552 site of an NFRKB gene, and is characterized in that the rs375747246 site of the TSPYL6 gene and the rs559022552 site of the NFRKB gene are respectively The kit comprises a MassARRAY chip and primers, wherein the primers are used for detecting a gene ZNF 648rs186666026 site, a gene TSPYL6rs375747246 site and a gene NFRKB rs559022552 site, and the primers are used for detecting a gene ZNF 648rs186666026 site and a gene TSPYL6rs375747246 site. The kit disclosed by the invention can be used for carrying out high-throughput detection on the three sites, and has the advantages of high sensitivity, high specificity, stable detection result, high reliability and the like; meanwhile, the method is suitable for gene analysis fields such as clinical disease mutation detection, pharmacogenomics analysis and forensic medicine identification.

This invention belongs to the field of forensic identification technology. It provides a method and system for automatic annotation of forensic injuries based on image segmentation technology. The method includes: an automatic annotation device capturing video images of the wound area targeted in the forensic examination; using image segmentation technology to extract the external shape data of the wound from the video images; a posture prediction model analyzing and processing the external shape data to predict the target's display posture; determining the target shooting angle based on the target's display posture; while the forensic examiner displays the wound area of ​​the target object, the automatic annotation device capturing high-definition images of the displayed wound area according to the target shooting angle; extracting wound feature data from the high-definition images; assessing the injury severity level of the wound area based on the wound feature data; automatically annotating the injury severity level in the high-definition images; and saving the data. This method enables automatic assessment of wound severity levels and automatic annotation in high-definition images, improving the efficiency of forensic injury examination.

The present invention belongs to the field of forensic identification, and specifically relates to a micro-haplotype detection system based on the NGS platform and its application. The present invention takes the micro-haplotype of a novel molecular genetic marker as the research object, and systematically selects micro-haplotype molecular genetic markers with high genetic polymorphism in the domestic Han population by performing a meta-analysis of previously reported micro-haplotypes; based on the NGS platform, a synchronous typing detection system is developed for forensic genetics research. The results of the present invention can provide an efficient and practical tool for research such as personal identification, complex kinship identification, mixed sample analysis, and biogeographical origin speculation in forensic genetics.

The invention relates to an STR marker combination for dogs and application of the STR marker combination, and belongs to the technical field of molecular biology and forensic identification. The STR marker combination comprises a combination of any four STR gene loci in the following 20 gene loci: PEZ1, PEZ2, FH2010, PEZ5, PEZ12, FH2309, PEZ20, PEZ15, FH2079, PEZ8, FH3377, PEZ21, PEZ3, PEZ6, FH2004, FH2054, VWFX, FH2611, FH2132 and FH2328, and a combination of any four STR gene loci in the following 20 gene loci. The STR marker combination further comprises a gene locus Amel for identifying sex. Through reasonable gene locus and fragment combination and fluorescent combination, the problem of simultaneous PCR amplification of 21 fluorescent primer single tubes is solved. And secondly, the technical verification index of the 10 [mu] L reaction system completely meets the forensic medicine application requirements, and the cost is greatly reduced. And finally, through cooperation of multiple departments, an STR database of 1000 kinds of dogs in the Chengdu region based on the system is constructed for the first time, and the application basis for effectiveness calculation is solved.

The invention discloses a genetic marker system containing 31 high-performance autosomal microhaplotypes as well as a detection primer and application thereof, and belongs to the technical field of forensic medicine identification. The genetic marker system comprises 31 loci, namely, mh02ZL-022, mh03ZL-014, mh03ZL-015, mh03ZL-016, mh03ZL-017, mh03ZL-018, mh04ZL-014, mh10ZL-010, mh10ZL-01, mh10ZL-012 and the like, and is characterized in that the molecular weight of the genetic marker system is 8000-9000, and the molecular weight of the genetic marker system is 8000-9000. On the basis of traditional micro-haplotype screening, InDels is incorporated into micro-haplotypes for whole genome screening, and an amplification system of a novel composite genetic marker is constructed. The system has the advantages of short fragment, short amplicon, low mutation rate and the like, is wide in applicability, and has good application potential in individual recognition, genetic relationship analysis and mixed sample detection of forensic detection.

This invention discloses a method for identifying peanut oil components and its applications. The invention screens and identifies three peanut oil-specific markers: alfalfa ketone, stigmatine, and chiricanine A. Based on these three markers and their characteristic ion pairs, peanut oil components can be accurately identified qualitatively using liquid chromatography-tandem mass spectrometry, with a detection limit of 1% (mass ratio). The method provided by this invention has the advantages of high accuracy, good specificity, and applicability to the detection of various vegetable oils, and can be widely applied in fields such as food authenticity identification, quality supervision, and related forensic identification.

The utility model discloses a kind of pupil measuring instruments for forensic identification, including pupil measuring instrument, support assembly is set on pupil measuring instrument, support assembly includes two threaded columns, two threaded columns are respectively installed on the lateral wall of pupil measuring instrument, threaded column is movably sleeved with first ring and support part, support part side installs moving part, support part includes second ring, second ring is movably sleeved on threaded column, moving part is set in second ring lateral wall, second ring outer wall is provided with telescopic plate.The utility model moving part's connecting plate one end is set on support part, connecting plate other end installs pull ring, forensic identification is moved by pulling pull ring and driving connecting plate, single hand completes the position adjustment of support part, vacates another hand and fixes patient head or operates other equipment, improve work efficiency, first ring and second ring are sleeved on threaded column, cooperate with support rod and form triangular support structure, enhance overall rigidity, prevent deformation or wobble in use process.

The invention discloses a composite system and method for skin identification and application, and belongs to the technical field of forensic medicine identification. The kit comprises a primer combination for amplifying a detection site, the sequences of the primer combination are as shown in SEQ ID NO.1-30; and the detection sites comprise cg06833110, cg14542120, cg05942459, cg02745009, cg02807788, cg10959820, cg17320707, cg25855753, cg22226904 and cg20603548, and the detection sites comprise the following components: the cg06833110, the cg14542120, the cg05942459, the cg02745009, the cg02807788, the cg10959820, the At present, no ARMS-PCR composite system for skin identification exists, a body fluid sample is identified and analyzed by adopting an ARMS-PCR technology, a DNA methylation composite system for detecting skin components is constructed, and the DNA methylation composite system has excellent sensitivity and specificity.

This invention discloses a method and system for estimating the time of bloodstain traces in judicial practice, relating to the fields of forensic identification and physical evidence technology. The invention acquires spatial distribution AC magnetic susceptibility tensor data of bloodstains and pure substrate magnetic signal array data; constructs a background noise covariance matrix and inputs it into an adaptive Wiener filter model to perform deconvolution separation, generating pure bloodstain intrinsic magnetic susceptibility spectrum data stripped of background interference; performs nonlinear fitting processing on the spectrum data using the fractional-order Haveryak-Nicaraguan relaxation equation, analytically generating relaxation dynamics feature set data; maps this data to a high-dimensional space of a Riemannian manifold to perform geodesic distance optimization calculation, outputting the bloodstain retention time corresponding to the minimum distance. This invention achieves non-destructive, non-contact detection, completely eliminates magnetic field interference from complex substrates, overcomes the measurement distortion of high-dimensional biochemical features, and significantly improves the accuracy and robustness of time estimation.

The present application relates to the field of forensic pathology, forensic genetics and molecular identification technology, in particular to a primer composition for evaluating genetic susceptibility of unexplained sudden death, products and applications thereof. The primer composition provided by the present application comprises nucleotide sequences such as amplification primers shown in SEQ ID NO. 1-512, that is, 256 pairs of primers related to 238 quantitative trait loci. The present application further provides products and methods for evaluating genetic susceptibility of unexplained sudden death of individuals. Experimental results show that the primer composition or kit provided by the present application can detect consistent and highly repeatable genotyping results, and on this basis, the genetic susceptibility of unexplained sudden death can be further evaluated by calculating the polygenic risk score, which has important significance for the genetic background research of unexplained sudden death and the accurate cause of death identification in sudden death related cases in forensic identification work.