t of 3DVT that has a significant positive effect on acquisition of anatomical knowledge when utilised within an interactive 3D environment. A distinction between stereoscopic and monoscopic 3DVT is essential to make in anatomical education and research. The purpose of this study was to determine whether fractal analysis could discriminate the peri-implant trabecular bone between individuals with healthy peri-implant mucosa and peri-implant disease using digital periapical radiographs. The electronic health records of patients with a dental implant were reviewed to determine their eligibility. One hundred four patients (aged 27-89years) were included and divided into three groups. Group 1) Individuals with healthy peri-implant mucosa; Group 2) Individuals with peri-implant mucositis; or Group 3) Individuals with peri-implantitis. The following clinical measurements for each dental implant were extracted probing depth (PD), clinical attachment level (CAL), and the presence or absence of bleeding on probing (BOP). selleck kinase inhibitor Digital periapical images of the implant were used to calculate the fractal dimension (FD) for each implant at two regions of interest (ROI). Summary statistics were calculated for mean PD, mean CAL, mean percent BOP, and mean FD by group. Differences among groups were tested using one-way analysis of variance (ANOVA). Spearman nonparametric correlations were tabulated for mean PD, mean CAL, mean percent BOP, and mean FD. The only measure that did not demonstrate significant differences among groups was FD (p=.559) with all other measures demonstrating a significant difference (p<.001). Based on this study, FD of the peri-implant bone calculated from a periapical radiograph does not appear to be a valid method to distinguish between healthy and diseased implants, while clinical measures of PD, CAL, and BOP are useful for the diagnosis of peri-implant health, peri-implant mucositis, and peri-implantitis.Based on this study, FD of the peri-implant bone calculated from a periapical radiograph does not appear to be a valid method to distinguish between healthy and diseased implants, while clinical measures of PD, CAL, and BOP are useful for the diagnosis of peri-implant health, peri-implant mucositis, and peri-implantitis. Tc-MAA-SPECT/CT may be used in Y-glass microsphere radioembolization treatment planning to assess perfused liver volumes and absorbed dose distributions. The partition model (PM) offers a more detailed planning dosimetry option beyond the single-compartment model more traditionally used in Y radioembolization. As Y radioembolization treatments shift toward activities and doses that aim to achieve tumor control, accurate and reliable treatment planning dosimetry for both tumors and normal liver (NL) becomes more critical. In this work, we explore the accuracy and precision of Y dosimetry predictions from pretherapy Tc-MAA and PM. Both PM and voxel dosimetry models were used to calculate tumor and NL mean doses using both planning Tc-MAA and verification Y-SPECT/CT in this retrospective analysis of hepatocellular carcinoma cases treated with glass microspheres (NCT01900002, n=32). Linear regression models were developed at first access, and then later correct, the estimates by (a) Tnical utility, but only in catheter-matched cases and with tumors comprising a clear majority (>80%) of the total tumor volume. These findings stratify the predictive fidelity of Tc-MAA- and PM-based treatment planning for Y dosimetry in improving treatment outcomes.80%) of the total tumor volume. These findings stratify the predictive fidelity of 99m Tc-MAA- and PM-based treatment planning for 90 Y dosimetry in improving treatment outcomes. To assess the impact of a multifaceted intervention on reducing the rate of cesarean section (CS) without negatively affecting the rate of perinatal mortality. A retrospective analysis of CS was performed before and after the implementation of a quality-improvement (QI) intervention in a university-affiliated teaching hospital in the Slovak Republic. All women who gave birth in 2015 (pre-intervention) and 2018 (post-intervention) were included. The different components of the intervention were introduced from September 2016. The main outcome was the overall rate of CS. A subanalysis by Robson groups was undertaken. After the implementation of the QI intervention, there was a 33.5% reduction in the rate of CS compared to the pre-intervention period where the rate reduced from 33.7% to 22.4% (P<0.001; relative risk 0.66, 95% confidence interval [CI] 0.61-0.72; Number Needed to Treat (NNT) 8.8, 95% CI 7.3-11.2). The main contributors were the reduction in elective CS for non-obstetric reasons, a reduction in intrapartum CS for failure to progress, and an increase in the number of vaginal births after CS in the post-intervention period. The implementation of the composite QI intervention led to a significant reduction in the rate of CS without affecting the rate of perinatal mortality.The implementation of the composite QI intervention led to a significant reduction in the rate of CS without affecting the rate of perinatal mortality.Extant land plants consist of two deeply divergent groups, tracheophytes and bryophytes, which shared a common ancestor some 500 million years ago. While information about vascular plants and the two of the three lineages of bryophytes, the mosses and liverworts, is steadily accumulating, the biology of hornworts remains poorly explored. Yet, as the sister group to liverworts and mosses, hornworts are critical in understanding the evolution of key land plant traits. Until recently, there was no hornwort model species amenable to systematic experimental investigation, which hampered detailed insight into the molecular biology and genetics of this unique group of land plants. The emerging hornwort model species, Anthoceros agrestis, is instrumental in our efforts to better understand not only hornwort biology but also fundamental questions of land plant evolution. To this end, here we provide an overview of hornwort biology and current research on the model plant A. agrestis to highlight its potential in answering key questions of land plant biology and evolution.