A Python tool to determine the thickness of the hydrate layer around clinker grains using SEM-BSE images.

To accurately simulate the hydration process of cementitious materials, understanding the growth rate of C-S-H layers around clinker grains is crucial. Nonetheless, the thickness of the hydrate layer shows substantial variation around individual grains, depending on their surrounding. Consequently, it is not feasible to measure hydrate layers manually in a reliable and reproducible manner. To address this challenge, a software has been developed to statistically determine the C-S-H thickness, requiring minimal manual interventions for thresholding and for setting limits like particle size or circularity. This study presents a tool, which automatically identifies suitable clinker grains and and perform statistical measurements of their hydrate layer up to a specimen age of 28 days. The findings reveal a significant increase in the C-S-H layer, starting from 0.45  µ m $\umu {\rm {m}}$ after 1 day and reaching 3.04  µ m $\umu {\rm {m}}$ after 28 days. However, for older specimens, the measurement of the C-S-H layer was not feasible due to limited pore space and clinker grains.

OHO: A Multi-Modal, Multi-Purpose Dataset for Human-Robot Object Hand-Over.

In the context of collaborative robotics, handing over hand-held objects to a robot is a safety-critical task. Therefore, a robust distinction between human hands and presented objects in image data is essential to avoid contact with robotic grippers. To be able to develop machine learning methods for solving this problem, we created the OHO (Object Hand-Over) dataset of tools and other everyday objects being held by human hands. Our dataset consists of color, depth, and thermal images with the addition of pose and shape information about the objects in a real-world scenario. Although the focus of this paper is on instance segmentation, our dataset also enables training for different tasks such as 3D pose estimation or shape estimation of objects. For the instance segmentation task, we present a pipeline for automated label generation in point clouds, as well as image data. Through baseline experiments, we show that these labels are suitable for training an instance segmentation to distinguish hands from objects on a per-pixel basis. Moreover, we present qualitative results for applying our trained model in a real-world application.

Laser-Based Door Localization for Autonomous Mobile Service Robots.

For autonomous mobile service robots, closed doors that are in their way are restricting obstacles. In order to open doors with on-board manipulation skills, a robot needs to be able to localize the door's key features, such as the hinge and handle, as well as the current opening angle. While there are vision-based approaches for detecting doors and handles in images, we concentrate on analyzing 2D laser range scans. This requires less computational effort, and laser-scan sensors are available on most mobile robot platforms. Therefore, we developed three different machine learning approaches and a heuristic method based on line fitting able to extract the required position data. The algorithms are compared with respect to localization accuracy with help of a dataset containing laser range scans of doors. Our LaserDoors dataset is publicly available for academic use. Pros and cons of the individual methods are discussed; basically, the machine learning methods could outperform the heuristic method, but require special training data when applied in a real application.

Quantification of cracks in concrete thin sections considering current methods of image analysis.

Image analysis is used in this work to quantify cracks in concrete thin sections via modern image processing. Thin sections were impregnated with a yellow epoxy resin, to increase the contrast between voids and other phases of the concrete. By the means of different steps of pre-processing, machine learning and python scripts, cracks can be quantified in an area of up to 40 cm2 . As a result, the crack area, lengths and widths were estimated automatically within a single workflow. Crack patterns caused by freeze-thaw damages were investigated. To compare the inner degradation of the investigated thin sections, the crack density was used. Cracks in the thin sections were measured manually in two different ways for validation of the automatic determined results. On the one hand, the presented work shows that the width of cracks can be determined pixelwise, thus providing the plot of a width distribution. On the other hand, the automatically measured crack length differs in comparison to the manually measured ones.

Reconstruction of calcium silicate hydrates using multiple 2D and 3D imaging techniques: Light microscopy, µ-CT, SEM, FIB-nT combined with EDX.

This study demonstrates the application and combination of multiple imaging techniques [light microscopy, micro-X-ray computer tomography (µ-CT), scanning electron microscopy (SEM) and focussed ion beam - nano-tomography (FIB-nT)] to the analysis of the microstructure of hydrated alite across multiple scales. However, by comparing findings with mercury intrusion porosimetry (MIP), it becomes obvious that the imaged 3D volumes and 2D images do not sufficiently overlap at certain scales to allow a continuous quantification of the pore size distribution (PSD). This can be overcome by improving the resolution and increasing the measured volume. Furthermore, results show that the fibrous morphology of calcium-silicate-hydrates (C-S-H) phases is preserved during FIB-nT. This is a requirement for characterisation of nano-scale porosity. Finally, it was proven that the combination of FIB-nT with energy-dispersive X-ray spectroscopy (EDX) data facilitates the phase segmentation of a 11 × 11 × 7.7 µm3 volume of hydrated alite.

Agricultural Injury Surveillance Using a Regional Trauma Registry.

BACKGROUND: The burden of traumatic injury among workers in agriculture is substantial. Surveillance can inform injury prevention efforts to reduce farmworkers' risk. We posited that the regional trauma registry can provide surveillance for agricultural injury requiring trauma-center care. METHODS: The Northeast Texas regional trauma registry was queried for patients injured in agricultural settings during 2016-2019 occurring in the 23,580 square mile study area subdivided into 219 US Census Zip Code Tract Area (ZCTA). Population at risk was estimated from the 2017 Census of Agriculture. Kuldorff's SaTScan identified case hot spots. A multivariable, geographically weighted regression model was fit for cases/1000 workers. RESULTS: In total, 273 cases occurred, (mean 68 cases per year [95% confidence interval 55.1-80.9]) among 96 ZCTA. The mean injury rate was 3.9 (95% confidence interval 3.4-4.3) cases per 1000 farmworkers. Animals and farm machinery were the most common injury mechanisms, 52.0% and 20.9%, respectively. Trauma ZCTA demonstrated more farms (median 170 versus 95.5, P < 0.001), greater farm acreage (53,900 acres versus 32,800, P = 0.004), and higher median total product sales ($6.5 million versus $3.9 million, P < 0.001). Six hot spots were identified with relative risks from 2.85 to 5.31. The multivariable model of cases/1000 workers demonstrated significant associations with workers per ZCTA (a mean ß-coefficient of 0.004 with P values <0.05 in 145 of 219 [66.5%] ZCTA) and percent rural population (ß = -6.62, P values <0.05 in 76.1% of ZCTA). CONCLUSIONS: Regional trauma registry data, combined with census data and spatial analyses, can identify actionable geographic areas of high agriculture-related injury risk.

Clinical characterization of familial hypercholesterolemia due to an amish founder mutation in Apolipoprotein B.

BACKGROUND: Familial hypercholesterolemia (FH) due to a founder variant in Apolipoprotein B (ApoBR3500Q) is reported in 12% of the Pennsylvania Amish community. By studying a cohort of ApoBR3500Q heterozygotes and homozygotes, we aimed to characterize the biochemical and cardiac imaging features in children and young adults with a common genetic background and similar lifestyle. METHODS: We employed advanced lipid profile testing, carotid intima media thickness (CIMT), pulse wave velocity (PWV), and peripheral artery tonometry (PAT) to assess atherosclerosis in a cohort of Amish ApoBR3500Q heterozygotes (n = 13), homozygotes (n = 3), and their unaffected, age-matched siblings (n = 9). ApoBR3500Q homozygotes were not included in statistical comparisons. RESULTS: LDL cholesterol (LDL-C) was significantly elevated among ApoBR3500Q heterozygotes compared to sibling controls, though several ApoBR3500Q heterozygotes had LDL-C levels in the normal range. LDL particles (LDL-P), small, dense LDL particles, and ApoB were also significantly elevated among subjects with ApoBR3500Q. Despite these differences in serum lipids and particles, CIMT and PWV were not significantly different between ApoBR3500Q heterozygotes and controls in age-adjusted analysis. CONCLUSIONS: We provide a detailed description of the serum lipids, atherosclerotic plaque burden, vascular stiffness, and endothelial function among children and young adults with FH due to heterozygous ApoBR3500Q. Fasting LDL-C was lower than what is seen with other forms of FH, and even normal in several ApoBR3500Q heterozygotes, emphasizing the importance of cascade genetic testing among related individuals for diagnosis. We found increased number of LDL particles among ApoBR3500Q heterozygotes but an absence of detectable atherosclerosis.

Neonatal Fever in the COVID-19 Pandemic: Odds of a Serious Bacterial Infection.

OBJECTIVES: A sepsis workup is recommended in young infants 56 days or younger with fever to rule out a serious bacterial infection (SBI). Given the reduction in non-severe acute respiratory syndrome - coronavirus 2 viral infections observed in multiple studies during the coronavirus diseases 2019 (COVID-19) pandemic, we sought to determine if the reduction in viral infections led to a change in the incidence of SBI in this vulnerable patient population. METHODS: We performed a multicenter, retrospective study of infants 56 days or younger presenting with fever to emergency departments of 6 community hospitals. We compared the incidence of SBIs, viral meningitis, and viral bronchiolitis during March 2020 to February 2021 (pandemic year) with the same calendar months in the 2 preceding years (prepandemic years). RESULTS: From March 2018 to February 2021, 543 febrile infants presented to the emergency departments, 95 during the pandemic year (March 2020 to February 2021) compared with 231 and 217 in the prepandemic years (March 2018 to February 2019 and March 2019 to February 2020, respectively).During the pandemic year, 28.4% of infants (27 of 95) were diagnosed with an SBI compared with 11.7% and 6.9% (P < 0.001) in the prepandemic years (27 of 231 and 15 of 217, respectively). Five patients were diagnosed with bacterial meningitis over the 3-year period, 4 of them during the pandemic year (4 of 95 [4.2%]). Positivity for viral cerebrospinal fluid polymerase chain reaction during the pandemic year was 6.4% (3 of 47) compared with 20.8% (25 of 120) and 20.4% (23 of 113) in prepandemic years (P = 0.070). During the pandemic year, 2.1% (2 of 95) febrile young infants were admitted with a comorbid diagnosis of bronchiolitis compared with 4.3% and 6.0% in the prepandemic years (P = 0.310). CONCLUSIONS: The COVID-19 pandemic led to an increase in the incidence of SBIs in febrile infants 56 days or younger, likely a result of reduction in non-severe acute respiratory syndrome - coronavirus 2 viral infections. Greater vigilance is thus warranted in the evaluation of febrile infants during the COVID-19 pandemic.

Digital media in intergenerational communication: Status quo and future scenarios for the grandparent-grandchild relationship.

Communication technologies play an important role in maintaining the grandparent-grandchild (GP-GC) relationship. Based on Media Richness Theory, this study investigates the frequency of use (RQ1) and perceived quality (RQ2) of established media as well as the potential use of selected innovative media (RQ3) in GP-GC relationships with a particular focus on digital media. A cross-sectional online survey and vignette experiment were conducted in February 2021 among N = 286 university students in Germany (mean age 23 years, 57% female) who reported on the direct and mediated communication with their grandparents. In addition to face-to-face interactions, non-digital and digital established media (such as telephone, texting, video conferencing) and innovative digital media, namely augmented reality (AR)-based and social robot-based communication technologies, were covered. Face-to-face and phone communication occurred most frequently in GP-GC relationships: 85% of participants reported them taking place at least a few times per year (RQ1). Non-digital established media were associated with higher perceived communication quality than digital established media (RQ2). Innovative digital media received less favorable quality evaluations than established media. Participants expressed doubts regarding the technology competence of their grandparents, but still met innovative media with high expectations regarding improved communication quality (RQ3). Richer media, such as video conferencing or AR, do not automatically lead to better perceived communication quality, while leaner media, such as letters or text messages, can provide rich communication experiences. More research is needed to fully understand and systematically improve the utility, usability, and joy of use of different digital communication technologies employed in GP-GC relationships.

Interventions to Increase Multivitamin Use Among Women in the Interconception Period: An IMPLICIT Network Study.

INTRODUCTION: Each year, 3% of infants in the Unites States (US) are born with congenital anomalies, including 3000 with neural tube defects. Multivitamins (MVIs) including folic acid reduce the incidence of these birth defects. Most women do not take recommended levels of folic acid prior to conception or during the interconception period. METHODS: The Interventions to Minimize Preterm and Low Birth Weight Infants through Continuous Improvement Techniques (IMPLICIT) ICC model was implemented to screen mothers who attend well child visits (WCVs) for their children aged 0-24 months. Mothers were queried for maternal behavioral risks known to affect pregnancy including multivitamin use and use of family planning methods to enhance birth spacing. When appropriate, interventions targeted at those at risk behaviors are offered. A mixed effects logistic regression model was used to calculate the odds ratio (OR) of behavior change in MVI use among mothers who reported not using MVIs. RESULTS: 37.7% of mothers reported not using MVIs at WCVs. 64.0% of mothers received an intervention to improve MVI use in this model. Mothers who received an intervention were more likely to report taking an MVI at the subsequent WCV if they received advice to take MVIs (OR 1.64) or directly received MVI samples (OR 3.09). CONCLUSIONS: Dedicated maternal counseling during pediatric WCVs is an opportunity to influence behavioral change in women at risk of becoming pregnant. Direct provision of MVIs increases the odds that women will report taking them at a higher rate than provider advice or no counseling at all.

Point Cloud Hand-Object Segmentation Using Multimodal Imaging with Thermal and Color Data for Safe Robotic Object Handover.

This paper presents an application of neural networks operating on multimodal 3D data (3D point cloud, RGB, thermal) to effectively and precisely segment human hands and objects held in hand to realize a safe human-robot object handover. We discuss the problems encountered in building a multimodal sensor system, while the focus is on the calibration and alignment of a set of cameras including RGB, thermal, and NIR cameras. We propose the use of a copper-plastic chessboard calibration target with an internal active light source (near-infrared and visible light). By brief heating, the calibration target could be simultaneously and legibly captured by all cameras. Based on the multimodal dataset captured by our sensor system, PointNet, PointNet++, and RandLA-Net are utilized to verify the effectiveness of applying multimodal point cloud data for hand-object segmentation. These networks were trained on various data modes (XYZ, XYZ-T, XYZ-RGB, and XYZ-RGB-T). The experimental results show a significant improvement in the segmentation performance of XYZ-RGB-T (mean Intersection over Union: 82.8% by RandLA-Net) compared with the other three modes (77.3% by XYZ-RGB, 35.7% by XYZ-T, 35.7% by XYZ), in which it is worth mentioning that the Intersection over Union for the single class of hand achieves 92.6%.

Robot-Assisted Gait Self-Training: Assessing the Level Achieved.

This paper presents the technological status of robot-assisted gait self-training under real clinical environment conditions. A successful rehabilitation after surgery in hip endoprosthetics comprises self-training of the lessons taught by physiotherapists. While doing this, immediate feedback to the patient about deviations from the expected physiological gait pattern during training is important. Hence, the Socially Assistive Robot (SAR) developed for this type of training employs task-specific, user-centered navigation and autonomous, real-time gait feature classification techniques to enrich the self-training through companionship and timely corrective feedback. The evaluation of the system took place during user tests in a hospital from the point of view of technical benchmarking, considering the therapists' and patients' point of view with regard to training motivation and from the point of view of initial findings on medical efficacy as a prerequisite from an economic perspective. In this paper, the following research questions were primarily considered: Does the level of technology achieved enable autonomous use in everyday clinical practice? Has the gait pattern of patients who used additional robot-assisted gait self-training for several days been changed or improved compared to patients without this training? How does the use of a SAR-based self-training robot affect the motivation of the patients?

Properties of Calcium Sulfoaluminate Cement Mortar Modified by Hydroxyethyl Methyl Celluloses with Different Degrees of Substitution.

This paper studies the influence of hydroxyethyl methyl cellulose (HEMC) on the properties of calcium sulfoaluminate (CSA) cement mortar. In order to explore the applicability of different HEMCs in CSA cement mortars, HEMCs with higher and lower molar substitution (MS)/degree of substitution (DS) and polyacrylamide (PAAm) modification were used. At the same time, two kinds of CSA cements with different contents of ye'elimite were selected. Properties of cement mortar in fresh and hardened states were investigated, including the fluidity, consistency and water-retention rate of fresh mortar and the compressive strength, flexural strength, tensile bond strength and dry shrinkage rate of hardened mortar. The porosity and pore size distribution were also analyzed by mercury intrusion porosimetry (MIP). Results show that HEMCs improve the fresh state properties and tensile bond strength of both types of CSA cement mortars. However, the compressive strength of CSA cement mortars is greatly decreased by the addition of HEMCs, and the flexural strength is decreased slightly. The MIP measurement shows that HEMCs increase the amount of micron-level pores and the porosity. The HEMCs with different MS/DS have different effects on the improvement of tensile bond strength in different CSA cement mortars. PAAm modification can improve the tensile bond strength of HEMC-modified CSA cement mortar.

A Multi-Modal Person Perception Framework for Socially Interactive Mobile Service Robots.

In order to meet the increasing demands of mobile service robot applications, a dedicated perception module is an essential requirement for the interaction with users in real-world scenarios. In particular, multi sensor fusion and human re-identification are recognized as active research fronts. Through this paper we contribute to the topic and present a modular detection and tracking system that models position and additional properties of persons in the surroundings of a mobile robot. The proposed system introduces a probability-based data association method that besides the position can incorporate face and color-based appearance features in order to realize a re-identification of persons when tracking gets interrupted. The system combines the results of various state-of-the-art image-based detection systems for person recognition, person identification and attribute estimation. This allows a stable estimate of a mobile robot's user, even in complex, cluttered environments with long-lasting occlusions. In our benchmark, we introduce a new measure for tracking consistency and show the improvements when face and appearance-based re-identification are combined. The tracking system was applied in a real world application with a mobile rehabilitation assistant robot in a public hospital. The estimated states of persons are used for the user-centered navigation behaviors, e.g., guiding or approaching a person, but also for realizing a socially acceptable navigation in public environments.

Use of the Medtronic Freestyle for aortic valve infection: A retrospective propensity score matched analysis.

BACKGROUNDS: Aortic valve and prosthetic valve endocarditis present a challenging subgroup of patients at high risk. We analyzed our experience using the Medtronic Freestyle in full root technique for the treatment of these cases over 18-year time period. METHODS: We investigated the endocarditis subgroup from our cohort of 971 patients and compared results against other valve types with propensity score matching implementing nearest neighbor method. T-test, χ2 test, logistic regression, and Cox regression were performed. RESULTS: Fifty-four patients from the Freestyle group (FS) were matched against 54 patients from a cohort of 376 aortic valve/root endocarditis patients treated by other valve types (non-FS). Hospital mortality was 9/54 (16.7%) in the FS vs 13/54 (24.1%) in the non-FS group (P = .33). Variables age (P = .003) and renal impairment (P = .026) had an impact on mortality according to Cox regression analysis for early results. Variables with significant risk for long-term mortality included postoperative renal impairment (P = .0001) and multiorgan failure (P = .0001). Recurrent infection was low (1.8% for FS and 3.7% for non-FS group), and freedom from reoperation was 97.2%. Use of the Medtronic Freestyle was no significant risk factor for long-term mortality. CONCLUSION: The Freestyle stentless xenograft is a viable alternative for treatment of valve/root and prosthetic endocarditis. In our experience, it showed good postoperative performance with low rate of reinfection while having an acceptable operative risk-profile for this high-risk cohort.

Under fire: gun violence is not just an urban problem.

BACKGROUND: Gun violence continues to be a source of trauma patient morbidity and mortality annually in the United States. We sought to characterize gun violence in the combined suburban and rural county of Lancaster, PA, and compare it with gun violence results obtained in urban areas. MATERIALS AND METHODS: All gunshot wound (GSW) admissions from January 2000-December 2013 were queried from trauma registry. Patients sustaining ball bearing/ball bullet (BB) or pellet gun injury were excluded. Data collected included mortality, injury severity score (ISS), number of GSW per patient, and cost data. Linear trend tests assessed the change in mortality, patients with three or more GSWs, and patients with an ISS ≥15 and ISS ≥25 over the study period. Statistical significance was defined as P < 0.05. RESULTS: A total of 478 patients met our inclusion criteria. Linear trend tests revealed no significant changes in percent mortality (P = 0.973), percent of patients with three or more GSWs (P = 0.692), percent of patients with an ISS ≥15 (P = 0.545), and percent of patients with an ISS ≥25 (P = 0.343) over the 14-y study period. No significant change in cost per case was observed over the study period (P = 0.246); however, percent reimbursement significantly increased (P = 0.012). CONCLUSIONS: In the relatively affluent suburban and rural community of Lancaster, PA, there is a low-level pattern of gunshot violence and subsequent mortality that has not changed over time. This continuing pattern of gunshot violence speaks to the need for development of innovative preventative measures, as well as continuing efforts against gunshot violence by health care and law-enforcement personnel in suburban and urban centers alike.

Mature trauma intensivist model improves intensive care unit efficiency but not mortality.

BACKGROUND: Although the Leap Frog intensivist staffing model has been shown to improve outcomes in the intensive care unit (ICU), to date, no one has examined the effect of an intensivist model in a dedicated trauma ICU. With stricter adherence to evidence-based protocols and 24-hour availability, we hypothesized that a mature intensivist model in a trauma ICU would decrease mortality. METHODS: Level II trauma center trauma ICU admissions 2006 to 2011. The ICU care provided by 6 trauma intensivists. Two periods were compared: early (2006-2008) and mature (2009-2011). Patients matched on age, Injury Severity Score (ISS), preexisting conditions, and so on in a univariate analysis, with significant variables placed in a logistic regression model, with mortality as the outcome. RESULTS: A total of 3527 patients (2999 excluding do not resuscitate status) were reviewed. Age ≥65 (odds ratio [OR] 2.38, P < .001), ISS ≥17 (OR 3.3, P < .001), coagulopathy (OR 1.64, P = .004), and anemia (OR 1.73, P = .02) were independent predictors of mortality. Multivariate logistic model encompassing these factors found no statistically significant differences in mortality across the 6-year period. The ICU efficiency showed significant improvements in terms of ventilator days (30.1% EARLY vs 24.4% MATURE; P < .001), decreases in mean consultant use per patient (0.55 ± 0.85 EARLY vs 0.40 ± 0.74 MATURE; P < .001), and increase in number of bedside procedures per patient (0.09 ± 0.48 EARLY vs 0.40 ± 0.74 MATURE; P < .001 CONCLUSIONS: Our mature intensivists staffing model shows improvement in ICU throughput (ventilator days, ICU days, decreased consultant use, and increased bedside procedures) but no survival benefit. Further improvements in overall trauma mortality may lie in the resuscitative and operative phase of patient care.

Effects of therapeutical and reduced levels of antibiotics on the fraction of antibiotic-resistant strains of Escherichia coli in the chicken gut.

Development of antibiotic resistance in the microbiota of farm animals and spread of antibiotic-resistant bacteria in the agricultural sector not only threaten veterinary use of antibiotics, but jeopardize human health care as well. The effects of exposure to antibiotics on spread and development of antibiotic resistance in Escherichia coli from the chicken gut were studied. Groups of 15 pullets each were exposed under strictly controlled conditions to a 2-day course of amoxicillin, oxytetracycline, or enrofloxacin, added to the drinking water either at full therapeutic dose, 75% of that, or at the carry-over level of 2.5%. During treatment and for 12 days afterwards, the minimal inhibitory concentration (MIC) for the applied antibiotics of E. coli strains isolated from cloacal swabs was measured. The full therapeutic dose yielded the highest percentage of resistant strains during and immediately after exposure. After 12 days without antibiotics, only strains from chickens that were given amoxicillin were significantly more often resistant than the untreated control. Strains isolated from pullets exposed to carry-over concentrations were only for a few days more often resistant than those from the control. These results suggest that, if chickens must be treated with antibiotics, a short intensive therapy is preferable. Even short-term exposure to carry-over levels of antibiotics can be a risk for public health, as also under those circumstances some selection for resistance takes place.

Few-Shot Object Detection: A Comprehensive Survey.

Humans are able to learn to recognize new objects even from a few examples. In contrast, training deep-learning-based object detectors requires huge amounts of annotated data. To avoid the need to acquire and annotate these huge amounts of data, few-shot object detection (FSOD) aims to learn from few object instances of new categories in the target domain. In this survey, we provide an overview of the state of the art in FSOD. We categorize approaches according to their training scheme and architectural layout. For each type of approach, we describe the general realization as well as concepts to improve the performance on novel categories. Whenever appropriate, we give short takeaways regarding these concepts in order to highlight the best ideas. Eventually, we introduce commonly used datasets and their evaluation protocols and analyze the reported benchmark results. As a result, we emphasize common challenges in evaluation and identify the most promising current trends in this emerging field of FSOD.

Clotting Propensity in Trauma Patients According to Marijuana Use: A Descriptive Analysis.

Marijuana use has been reported to promote hypercoagulable states among trauma patients, particularly respecting venous thromboembolism (VTE), a major contributor to morbidity and mortality in patients sustaining traumatic injury. We sought to investigate this further through a retrospective, single institutional study performed from January 2018 through June 2021, utilizing data from patients presenting to a Level 1 Trauma Center as a trauma activation. We observed less frequent VTE development in the marijuana-positive group compared to the marijuana-negative group, with patient thromboelastography revealing a longer mean R-time in the marijuana-positive group. Overall occurrence of VTE was too low for definitive conclusions, but a trend toward reduction in VTE frequency among marijuana users compared to nonusers was noted. More studies with larger populations and more VTE occurrences are needed to confirm a potential correlation between marijuana use and VTE development.