Journal of forensic sciences最新文献

Development of the house fly, Musca domestica L. (Diptera: Muscidae), on pork tissue at two temperatures.

Journal of forensic sciences Pub Date : 2025-01-23 DOI: 10.1111/1556-4029.15702

Casey A Flint, Jennifer Rhinesmith-Carranza, Riley Bell, Jeffery K Tomberlin

{"title":"Development of the house fly, Musca domestica L. (Diptera: Muscidae), on pork tissue at two temperatures.","authors":"Casey A Flint, Jennifer Rhinesmith-Carranza, Riley Bell, Jeffery K Tomberlin","doi":"10.1111/1556-4029.15702","DOIUrl":"https://doi.org/10.1111/1556-4029.15702","url":null,"abstract":"The house fly, Musca domestica, L. (Diptera: Muscidae), is a filth fly that is often associated with criminal and civil investigations surrounding abuse, neglect, and death of humans and other vertebrates. However, development data, which are crucial for determining the age of immatures collected under forensically relevant circumstances, are limited. Given the lack of data and the recognition of population-specific growth patterns, the aim of this study was to generate data for development of a M. domestica population from Texas, USA, on decomposing lean pork at 24.0°C (i.e., approximate room temperature in Texas) and 37.0°C (i.e., approximate human body temperature). As expected, fly development significantly differed between temperatures with development at the higher temperature taking significantly less time (development from egg to adult emergence occurred c. 48.5% faster at 37.0°C than at 24.0°C). The value of this dataset is demonstrated through an applied comparison with previously published data for the house fly. Differences in development times across life stages for the studies are evident, with shorter time of colonization estimations using the data published by Wang et al. (2018), especially in later life stages. These data represent the first development dataset for the house fly on decomposing flesh in North America. Furthermore, the comparison with the previously published dataset demonstrate data from this study are of value for future forensic investigations in Texas or possibly other parts of the United States where this species is encountered, as they can be used to determine time of colonization.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143026231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visual assessment for frontal sinus radiographic identifications: Documenting accuracy and exploring the effects of experience. 额窦造影识别的视觉评估：记录准确性和探索经验的影响。

Journal of forensic sciences Pub Date : 2025-01-20 DOI: 10.1111/1556-4029.15700

Lauren N Butaric, Jessica L Campbell, Heather M Garvin

{"title":"Visual assessment for frontal sinus radiographic identifications: Documenting accuracy and exploring the effects of experience.","authors":"Lauren N Butaric, Jessica L Campbell, Heather M Garvin","doi":"10.1111/1556-4029.15700","DOIUrl":"https://doi.org/10.1111/1556-4029.15700","url":null,"abstract":"Decedent positive identification via visual comparisons of frontal sinus radiographs is commonly used in the medicolegal field; however, only a handful of studies have empirically tested this method. This study aimed to test the accuracy of visual assessment in frontal sinus identifications across a large and experientially diverse participant sample. A Qualtrics survey presented participants with 25 pairs of cropped frontal sinus radiographs, asking them to determine if they matched and their confidence level. Radiographs were from the American Association of Orthodontics Legacy Collection. Eighteen radiographic pairs were of the same individual taken a year or more apart. Seven pairs were from different individuals (nonmatches). Euclidean distances were used to select challenging nonmatches with similar outlines. Participants were also asked questions about their profession, training, and experience. The overall accuracy of the 145 respondents (3625 comparisons) was 89.9%, with a median accuracy of 92.0%. The majority of respondents (64.58%) report zero radiographic identification experience. Incorrect responses were biased, with only 3.6% of nonmatches wrongly reported as matches (false positives). Statistical analyses revealed significant effects of profession, radiographic experience, and training on match accuracies and confidence levels (p < 0.05), with a significant correlation between accuracy and confidence level (rs = 0.302, p < 0.001). These results support the use of frontal sinus visual comparisons in forensic identifications but highlight the importance of training and experience. In practice, accuracy rates are expected to exceed those reported here, given that identifications are made by medicolegal personnel using higher quality radiographs of the entire cranium.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143019048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An alternative approach to the detection of latent fingermarks using [Eu₂(BDC)3(H₂O)₂], a luminescent non-toxic MOF powder. 一种利用[Eu2(BDC)3(H2O)2]（一种发光无毒的MOF粉末）检测潜在手印的替代方法。

Journal of forensic sciences Pub Date : 2025-01-16 DOI: 10.1111/1556-4029.15691

André L R Talhari, Filipe G M Mauricio, Bruna R B Gomes, Caroline R Carneiro, Idio A S Filho, Fabiane H Veiga-Souza, Ingrid T Weber

{"title":"An alternative approach to the detection of latent fingermarks using [Eu2(BDC)3(H2O)2], a luminescent non-toxic MOF powder.","authors":"André L R Talhari, Filipe G M Mauricio, Bruna R B Gomes, Caroline R Carneiro, Idio A S Filho, Fabiane H Veiga-Souza, Ingrid T Weber","doi":"10.1111/1556-4029.15691","DOIUrl":"https://doi.org/10.1111/1556-4029.15691","url":null,"abstract":"Fingermarks are important forensic evidence for identifying people. In this work, luminescent MOF [Eu2(BDC)3(H2O)2] (herein referred as EuBDC) was tested as a potential latent fingermark (LF) luminescent developer powder and its acute toxicity evaluated following OECD protocol 423. The results showed that the powder can develop groomed LF on materials such as leather, plastic, metal, glass, cardboard, and aluminum. LFs aged up to 30 days, left on glass slides were developed and classified as level-3. The images presented high quality, enabling correct donor identification as well as through an Automated Fingerprint Identification System (AFIS) search. EuBDC also showed useful results as secondary technique for fixed cyanoacrylate LFs, especially on a reflective, multicolored and non-flat surfaces. Additionally, the EuBDC was tested on ungroomed fingermarks, developed on a split depletion series of successive deposits and compared to a commercially available luminescent powder. Development also occurred on ungroomed aged fingermarks; as a secondary technique for cyanoacrylate fuming; and on transparent adhesive tape when used as a suspension for the latter. Considering that development powders are frequently handled by Papilloscopists and that this may pose a health risk, the acute toxicity and of EuBDC and histopathological analysis were evaluated. The tests showed no signs of toxicity. Therefore, the EuBDC was classified in category 5 in the Globally Harmonized System classification, the least toxic category, with an LD50 >5000 mg/Kg. The set of results shows that EuBDC powder has the potential use as a fingermark developer, as well as being suitable for applications for non-toxic material.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143019046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Long-range trajectory reconstructions using the point mass model. 利用点质量模型进行远程弹道重建。

Journal of forensic sciences Pub Date : 2025-01-08 DOI: 10.1111/1556-4029.15697

Fabiano Riva, Frederick Richard Broekhuis, Michael Haag, Lambertus Koene, Wim Kerkhoff

{"title":"Long-range trajectory reconstructions using the point mass model.","authors":"Fabiano Riva, Frederick Richard Broekhuis, Michael Haag, Lambertus Koene, Wim Kerkhoff","doi":"10.1111/1556-4029.15697","DOIUrl":"https://doi.org/10.1111/1556-4029.15697","url":null,"abstract":"In shooting incident reconstructions, forensic examiners usually deal with scenes involving short-range trajectories, typically ≤30 m. In situations such as this, a linear trajectory reconstruction model is appropriate. However, a forensic expert can also be asked to estimate a shooter's position by reconstructing a long-range trajectory where the bullet's path becomes arced as a result of gravity and the greater time in flight. In this study, the point mass model (PMM) was used, because it is accessible and considered sufficiently accurate. A computer program using PMM can perform long-range trajectory reconstructions starting from an impact point. The reconstruction results in an area where the shot is expected to be fired from, not a single location. This is caused by varying the input parameters of the PMM. The aim of this study is to assess the accuracy of the method and discuss the influence of the most relevant parameters. The model has been validated by comparing its performance with 20 handgun bullet trajectories that were determined using Doppler radar measurements over long ranges, i.e. from 500 m to 1800 m. Comparison between the area calculated using the model and the actual shooter position demonstrates the limits of these reconstructions, particularly at high incident angles. The differences between the reconstructed deflections and the deflections measured by the tracking radar are rather large. This phenomenon is caused by either measurement errors in the cross wind as a function of height or inaccuracy of the radar's deflection measurements.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142960663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Air DNA forensics: Novel air collection method investigations for human DNA identification. 空气 DNA 鉴证：用于人类 DNA 鉴定的新型空气采集法调查。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-11-10 DOI: 10.1111/1556-4029.15662

Emily Bibbo, Duncan Taylor, Roland A H van Oorschot, Mariya Goray

{"title":"Air DNA forensics: Novel air collection method investigations for human DNA identification.","authors":"Emily Bibbo, Duncan Taylor, Roland A H van Oorschot, Mariya Goray","doi":"10.1111/1556-4029.15662","DOIUrl":"10.1111/1556-4029.15662","url":null,"abstract":"Modern techniques can generate highly discriminatory DNA profiles from minuscule biological samples, providing valuable information in criminal investigations and court proceedings. However, trace and touch DNA samples, due to their nature, often have lower success rates than other biological materials, such as blood. Further, forensically aware criminals can utilize gloves and meticulously clean the crime scene to remove DNA traces of themselves from contacted surfaces. Air sampling offers a novel approach to the collection of human DNA that has the potential to bypass some of these issues. This study reports on the results of research into the prevalence and persistence of human DNA in the air. The ability to collect human DNA from the air was investigated with the use of an AirPrep Cub Sampler ACD220 in different spaces, with and without the presence of individuals for various durations of sample collection. Results of this study demonstrate that level of occupation and sampling duration each have an influence on quantity and quality of DNA recovered from the air whereas the effects of orientation and distance of participants from the collection device as well as sequence of occupation remain unclear and require further investigation.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":"298-313"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy. 通过表面增强拉曼光谱检测可卡因、摇头丸、甲基苯丙胺和咖啡因混合物中的低浓度芬太尼。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-11-11 DOI: 10.1111/1556-4029.15652

Saiqa Muneer, Matthew Smith, Mikaela M Bazley, Daniel Cozzolino, Joanne T Blanchfield

{"title":"Detection of low-level fentanyl concentrations in mixtures of cocaine, MDMA, methamphetamine, and caffeine via surface-enhanced Raman spectroscopy.","authors":"Saiqa Muneer, Matthew Smith, Mikaela M Bazley, Daniel Cozzolino, Joanne T Blanchfield","doi":"10.1111/1556-4029.15652","DOIUrl":"10.1111/1556-4029.15652","url":null,"abstract":"Surface-enhanced Raman spectroscopy (SERS) was utilized to measure low-level fentanyl concentrations mixed in common cutting agents, cocaine, 3,4-methylenedioxymethamphetamine (MDMA), methamphetamine, and caffeine. Mixtures were prepared with a fentanyl concentration range of 0-339 μM. Data was initially analyzed by plotting the area of a diagnostic peak (1026 cm-1) against concentration to generate a calibration model. This method was successful with fentanyl/MDMA samples (LOD 0.04 μM) but not for the other mixtures. A chemometric approach was then employed. The data was evaluated using principal component analysis (PCA), partial least squares (PLS1) regression, and linear discriminant analysis (LDA). The LDA model was used to classify samples into one of three designated concentration ranges, low = 0-0.4 mM, medium = 0.4-14 mM, or high >14 mM, with fentanyl concentrations correctly classified with greater than 85% accuracy. This model was then validated using a series of \"blind\" fentanyl mixtures and these unknown samples were assigned to the correct concentration range with an accuracy >95%. The PLS1 model failed to provide accurate quantitative assignments for the samples but did provide an accurate prediction for the presence or absence of fentanyl. The combination of the two models enabled accurate quantitative assignment of fentanyl in binary mixtures. This work establishes a proof of concept, indicating a larger sample size could generate a more accurate model. It demonstrates that samples, containing variable, low concentrations of fentanyl, can be accurately quantified, using SERS.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":"73-83"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Score-based likelihood ratios for barefootprint evidence using deep learning features. 利用深度学习特征对赤足印证据进行基于分数的似然比分析。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-11-14 DOI: 10.1111/1556-4029.15670

Yi Yang BEng, Yunqi Tang, Junjian Cui MEng, Xiaorui Zhao MEng

{"title":"Score-based likelihood ratios for barefootprint evidence using deep learning features.","authors":"Yi Yang BEng, Yunqi Tang, Junjian Cui MEng, Xiaorui Zhao MEng","doi":"10.1111/1556-4029.15670","DOIUrl":"10.1111/1556-4029.15670","url":null,"abstract":"As the court put forward higher requirements for quantitative evaluation and scientific standards of forensic evidence, how to objectively and scientifically express identification opinions has become a challenge for traditional forensic identification methods. Score-based likelihood ratios are mathematical methods for quantitative evaluation of forensic evidence. However, due to the subtle differences in inter-class barefootprints, there is no automatic barefootprints matching algorithm with high accuracy under large-scale dataset validation, and there are few studies related to deep learning barefootprint features for evidence evaluation in court. Therefore, score-based likelihood ratios for barefootprint evidence using deep learning features are proposed by this paper. Firstly, the largest barefootprint dataset (BFD) is constructed, which contains 54,118 barefootprint images from 3000 individuals. Then, an automatic barefootprint feature extraction and matching algorithm is proposed, which achieves a retrieval accuracy of 98.4% on BFD and an AUC of 0.989 for barefootprint validation. Next, Cosine distance, Euclidean distance and Manhattan distance are employed to measure the comparison scores between intra-class and inter-class barefootprints using deep learning features in four dimensions of 64, 128, 512 and 1024, respectively. The performance of proposed model is evaluated by comparing the <math> <semantics> <mrow><msub><mi>C</mi> <mi>llr</mi></msub> </mrow> </semantics> </math> values and the Tippett plot. Finally, simulated crime scene barefootprint samples are constructed to verify the practical application of the proposed method, which provide further support for the quantitative evaluation of barefootprint evidence in court.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":"98-116"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Handling finding counts in handwriting analysis - Avoiding the overrepresentation of unusual writing scenarios. 处理笔迹分析中的查找次数--避免不寻常书写情况过多出现。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-10-30 DOI: 10.1111/1556-4029.15643

Rolf Berty

引用次数: 0

A statistical analysis for deepfake videos forgery traces recognition followed by a fine-tuned InceptionResNetV2 detection technique. 对深度伪造视频的伪造痕迹识别进行统计分析，然后采用经过微调的 InceptionResNetV2 检测技术。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-11-19 DOI: 10.1111/1556-4029.15665

Sandhya, Abhishek Kashyap

{"title":"A statistical analysis for deepfake videos forgery traces recognition followed by a fine-tuned InceptionResNetV2 detection technique.","authors":"Sandhya, Abhishek Kashyap","doi":"10.1111/1556-4029.15665","DOIUrl":"10.1111/1556-4029.15665","url":null,"abstract":"Deepfake videos are growing progressively more competent because of the rapid advancements in artificial intelligence and deep learning technology. This has led to substantial problems around propaganda, privacy, and security. This research provides an analytically novel method for detecting deepfake videos using temporal discrepancies of the various statistical features of video at the pixel level, followed by a deep learning algorithm. To detect minute aberrations typical of deepfake manipulations, this study focuses on both spatial information inside individual frames and temporal correlations between subsequent frames. This study primarily provides a novel Euclidean distance variation probability score value for directly commenting on the authenticity of a deepfake video. Next, fine-tuning of InceptionResNetV2 with the addition of a dense layer is trained FaceForensics++ for deepfake detection. The proposed fine-tuned model outperforms the existing techniques as its testing accuracy on unseen data outperforms the existing methods. The propsd method achieved an accuracy of 99.80% for FF++ dataset and 97.60% accuracy for CelebDF dataset.","PeriodicalId":94080,"journal":{"name":"Journal of forensic sciences","volume":" ","pages":"349-368"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142678068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facing the future: Technology and "advocacy" at the American Academy of Forensic Sciences. 面对未来：美国法医学会的技术与 "宣传"。

Journal of forensic sciences Pub Date : 2025-01-01 Epub Date: 2024-12-16 DOI: 10.1111/1556-4029.15676

Christopher R Thompson

引用次数: 0