Miracle-dz/UniFAR-FTUs huggingface dataset:
FIGO classification for the clinical diagnosis of placenta accreta spectrum disorders ,

Placenta accreta spectrum is impacting maternal health outcomes globally and its prevalence is likely to increase. Maternal outcomes depend on identification of the condition before or during delivery and, in particular, on the differential diagnosis between its adherent and invasive forms. However, accurate estimation of its prevalence and outcome is currently problematic because of the varying use of clinical criteria to define it at birth and the lack of detailed pathologic examination in most series. Adherence to this new International Federation of Gynecology and Obstetrics (FIGO) classification should improve future systematic reviews and meta‐analyses and provide more accurate epidemiologic data which are essential to develop new management strategies.
Integration of UAV-Based Photogrammetry and Terrestrial Laser Scanning for the Three-Dimensional Mapping and Monitoring of Open-Pit Mine Areas

This paper presents a practical framework for the integration of unmanned aerial vehicle (UAV) based photogrammetry and terrestrial laser scanning (TLS) with application to open-pit mine areas, which includes UAV image and TLS point cloud acquisition, image and cloud point processing and integration, object-oriented classification and three-dimensional (3D) mapping and monitoring of open-pit mine areas. The proposed framework was tested in three open-pit mine areas in southwestern China. (1) With respect to extracting the conjugate points of the stereo pair of UAV images and those points between TLS point clouds and UAV images, some feature points were first extracted by the scale-invariant feature transform (SIFT) operator and the outliers were identified and therefore eliminated by the RANdom SAmple Consensus (RANSAC) approach; (2) With respect to improving the accuracy of geo-positioning based on UAV imagery, the ground control points (GCPs) surveyed from global positioning systems (GPS) and the feature points extracted from TLS were integrated in the bundle adjustment, and three scenarios were designed and compared; (3) With respect to monitoring and mapping the mine areas for land reclamation, an object-based image analysis approach was used for the classification of the accuracy improved UAV ortho-image. The experimental results show that by introduction of TLS derived point clouds as GCPs, the accuracy of geo-positioning based on UAV imagery can be improved. At the same time, the accuracy of geo-positioning based on GCPs form the TLS derived point clouds is close to that based on GCPs from the GPS survey. The results also show that the TLS derived point clouds can be used as GCPs in areas such as in mountainous or high-risk environments where it is difficult to conduct a GPS survey. The proposed framework achieved a decimeter-level accuracy for the generated digital surface model (DSM) and digital orthophoto map (DOM), and an overall accuracy of 90.67% for classification of the land covers in the open-pit mine.
External injuries, trauma and avoidable deaths in Agincourt, South Africa: a retrospective observational and qualitative study

Objective Injury burden is highest in low-income and middle-income countries. To reduce avoidable deaths, it is necessary to identify health system deficiencies preventing timely, quality care. We developed criteria to use verbal autopsy (VA) data to identify avoidable deaths and associated health system deficiencies. Setting Agincourt, a rural Bushbuckridge municipality, Mpumalanga Province, South Africa. Participants Agincourt Health and Socio-Demographic Surveillance System and healthcare providers (HCPs) from local hospitals. Methods A literature review to explore definitions of avoidable deaths after trauma and barriers to access to care using the ‘three delays framework’ (seeking, reaching and receiving care) was performed. Based on these definitions, this study developed criteria, applicable for use with VA data, for identifying avoidable death and which of the three delays contributed to avoidable deaths. These criteria were then applied retrospectively to the VA-defined category external injury deaths (EIDs—a subset of which are trauma deaths) from 2012 to 2015. The findings were validated by external expert review. Key informant interviews (KIIs) with HCPs were performed to further explore delays to care. Results Using VA data, avoidable death was defined with a focus on survivability, using level of consciousness at the scene and ability to seek care as indicators. Of 260 EIDs (189 trauma deaths), there were 104 (40%) avoidable EIDs and 78 (30%) avoidable trauma deaths (41% of trauma deaths). Delay in receiving care was the largest contributor to avoidable EIDs (61%) and trauma deaths (59%), followed by delay in seeking care (24% and 23%) and in reaching care (15% and 18%). KIIs revealed context-specific factors contributing to the third delay, including difficult referral systems. Conclusions A substantial proportion of EIDs and trauma deaths were avoidable, mainly occurring due to facility-based delays in care. Interventions, including strengthening referral networks, may substantially reduce trauma deaths.
Apigenin inhibits growth and migration of fibroblasts by suppressing FAK signaling

The naturally occurring compound apigenin has many biological effects, including anti-inflammatory, antioxidative and anticancer effects. Although hypertrophic scar formation is a common surgical complication, there is still no good treatment for it. In the present study, we examined the effect of apigenin on hypertrophic scar. After isolating fibroblasts from human hypertrophic scars, we assess the effects of apigenin on fibroblast cell survival, apoptosis and migration. The results showed that apigenin dose-dependently inhibited the growth and migration of hypertrophic scar fibroblasts. By inhibiting FAK kinase activity and FAK phosphorylation, apigenin also inhibited activation of the FAK signaling pathway. Apigenin thus appears to inhibit the growth and migration of hypertrophic scar fibroblasts by inhibiting FAK signaling. This suggests apigenin could potentially provide a new option for the treatment of hypertrophic scars.
A preliminary study of using a deep convolution neural network to generate synthesized CT images based on CBCT for adaptive radiotherapy of nasopharyngeal carcinoma

This study aims to utilize a deep convolutional neural network (DCNN) for synthesized CT image generation based on cone-beam CT (CBCT) and to apply the images to dose calculations for nasopharyngeal carcinoma (NPC). An encoder-decoder 2D U-Net neural network was produced. A total of 70 CBCT/CT paired images of NPC cancer patients were used for training (50), validation (10) and testing (10) datasets. The testing datasets were treated with the same prescription dose (70 Gy to PTVnx70, 68 Gy to PTVnd68, 62 Gy to the PTV62 and 54 Gy to the PTV54). The mean error (ME) and mean absolute error (MAE) for the true CT images were calculated for image quality evaluation of the synthesized CT. The dose-volume histogram (DVH) dose metric difference and 3D gamma pass rate for the true CT images were calculated for dose analysis, and the results were compared with those for the CBCT images (original CBCT images without any correction) and a patient-specific calibration (PSC) method. Compared with CBCT, the range of the MAE for synthesized CT images improved from (60, 120) to (6, 27) Hounsfield units (HU), and the ME improved from (−74, 51) to (−26, 4) HU. Compared with the true CT method, the average DVH dose metric differences for the CBCT, PSC and synthesized CT methods were 0.8% ± 1.9%, 0.4% ± 0.7% and 0.2% ± 0.6%, respectively. The 1%/1 mm gamma pass rates within the body for the CBCT, PSC and synthesized CT methods were 90.8% ± 6.2%, 94.1% ± 4.4% and 95.5% ± 1.6%, respectively, and the rates within the PTVnx70 were 80.3% ± 16.6%, 87.9% ± 19.7%, 98.6% ± 2.9%, respectively. The DCNN model can generate high-quality synthesized CT images from CBCT images and be used for accurate dose calculations for NPC patients. This finding has great significance for the clinical application of adaptive radiotherapy for NPC.
Fluorinated Bioactive Glass Nanoparticles: Enamel Demineralization Prevention and Antibacterial Effect of Orthodontic Bonding Resin

Orthodontic treatment involving the bonding of fixed appliances to tooth surfaces can cause white spot lesions (WSLs). WSLs increase the likelihood of cavity formation and hence require preservation and prosthetic restoration. Therefore, the prevention of WSLs is of greater importance than treatment. Application of fluoride or the use of fluoride-containing mouthwash can prevent WSLs, but this requires patient cooperation and additional time and cost. Bioactive glass containing 2.5% fluoride was synthesized and mixed with the orthodontic bonding adhesive Transbond XT Low Flow (LV) at ratios of 1, 3, and 5% to prepare orthodontic adhesive samples. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) were used to characterize the samples. The Vickers hardness test, bracket retention test, and adhesive remnant index (ARI) of the samples were analysed to determine their mechanical properties. To determine the biological cytotoxicity, the cell activity of the samples was evaluated using cell viability tests and the antibacterial activity was analysed using Streptococcus mutans. To evaluate the anti-demineralization effect, the sample was bonded to extracted teeth and a pH cycle test was performed. Micro computed tomography data were obtained from the bonded teeth and sample, and the anti-demineralization effect was evaluated using the ImageJ software program. The Vickers hardness of the sample was higher than that of LV and was dependent on the concentration of fluoride-containing bioactive glass (FBAG). The bracket retention test and ARI of the sample showed no significant differences from those of LV. The cell viability test showed no significant changes at 24 and 48 h after application of the sample. The fluoride ion release test indicated an ion release rate of 9.5–17.4 μg/cm2. The antibacterial activity of the experimental group containing FBAG was significantly higher than that of the LV group. The anti-demineralization test showed a concentration-dependent increase. However, the resin containing 5 mass% FBAG (FBAG5) showed a statistically-significant increase compared with LV. The orthodontic adhesive containing FBAG showed antibacterial and anti-demineralization effects, thus indicating possible WSL prevention activity.
Molecular characterization of alterations in the intestinal microbiota of patients with grade 3 hypertension

Hypertension has become a major risk factor for many diseases, including cardiovascular, cerebrovascular and kidney disorders. It has been reported that the composition of human gut microbiota is changed during the progression of cardiovascular and kidney diseases. The current study aimed to qualitatively and quantitatively compare the composition of gut microbiota between patients with hypertension and healthy controls. Fecal samples were collected from 50 patients diagnosed with grade 3 hypertension and 30 healthy controls. Touchdown PCR-denaturing gradient gel electrophoresis with primers specifically targeting the V3 region of 16S ribosomal RNA, and quantitative PCR, were performed to characterize all the samples. High-throughput sequencing of the V3-V4 regions was performed on 30 randomly selected samples. By comparing diversity and richness indices, the gut microbiome of the hypertensive individuals was found to be more diverse than that of the healthy controls. Among the main bacterial phlya that reside in the gut, Bacteroidetes, Firmicutes and Proteobacteria were dominant in all the samples; however the Firmicutes to Bacteroidetes ratio was variable, with a significant increase in the patients with hypertension compared with the healthy control group. In addition, at the genus level, there was an increased abundance of Prevotella_9, Megasphaera, Parasutterella and Escherichia-Shigella in patients with hypertension, while Bacteroides and Faecalibacterium were decreased. These results suggested that the human gut microbiota is altered in hypertension, and understanding the mechanism of these changes in microbial composition may open up new insights, and help to treat hypertension and other related diseases.
Combined analysis of miRNA‐181a with phase angle derived from bioelectrical impedance predicts radiotherapy‐induced changes in body composition and survival of male patients with head and neck cancer

Nutritional deficits developing as an effect of applied radiotherapy (RTH) negatively affect patients' quality of life, survival, and therapy outcomes. We demonstrated novel approach to prediction of RTH‐induced changes in body composition of patients with head and neck cancer using phase angle (PA) derived from bioelectrical impedance in combination with miRNA‐181a expression.
Composite-derived monomers affect cell viability and cytokine expression in human leukocytes stimulated with Porphyromonas gingivalis

Abstract Objectives: Dental composites release unreacted resin monomers into the oral environment, even after polymerization. Periodontal cells are, therefore, exposed to substances that potentially elicit the immune inflammatory response. The underlying molecular mechanisms associated with the interaction between resin monomers and human immune cells found in the gingival crevicular fluid are not fully understood yet. This study investigated the ability of bisphenol A-glycidyl methacrylate (BISGMA), urethane dimethacrylate (UDMA) and triethylene glycol dimethacrylate (TEGDMA) to induce apoptosis and cytokine release by human leukocytes stimulated with a periodontal pathogen. Methodology: Peripheral blood mononuclear cells (PBMC) from 16 healthy individuals were included in this study. To determine the toxicity, the PBMC were incubated for 20 hours, with monomers, for the analysis of cell viability using MTT assay. To evaluate cell death in the populations of monocytes and lymphocytes, they were exposed to sub-lethal doses of each monomer and of heat-inactivated Porphyromonas gingivalis (P. gingivalis) for 5 hours. Secretions of IL-1β, IL-6, IL-10 and TNF-α were determined by ELISA after 20 hours. Results: UDMA and TEGDMA induced apoptosis after a short-time exposure. Bacterial challenge induced significant production of IL-1β and TNF-α (p<0.05). TEGDMA reduced the bacterial-induced release of IL-1β and TNF-α, whereas UDMA reduced IL-1β release (p<0.05). These monomers did not affect IL-10 and IL-6 secretion. BISGMA did not significantly interfere in cytokine release. Conclusions: These results show that resin monomers are toxic to PBMC in a dose-dependent manner, and may influence the local immune inflammatory response and tissue damage mechanisms via regulation of bacterial-induced IL-1β and TNF-α secretion by PBMC.
Facilitation and Interference in Indirect/Implicit Memory Tests and in the Process Dissociation Paradigm: The Letter Insertion and the Letter Deletion Tasks

This paper introduced the letter insertion and letter deletion tasks. In these tasks participants are presented with letter strings and are instructed to insert or delete a letter to create a word. Experiment 1 demonstrated facilitation priming and established these tasks as sensitive indirect measures of memory. Experiments 2 and 3 demonstrated interference priming effects. In Experiment 4 the process dissociation paradigm (Jacoby, 1991) was applied to investigate the contributions of automatic and consciously controlled processes to performance on the letter insertion task. In addition, performance in the exclusion condition demonstrated an interference effect caused by automatic retrieval. Potential applications for the letter insertion and letter deletion tasks are discussed.
Understanding the context of delays in seeking appropriate care for children with symptoms of severe malaria in Uganda

Introduction A large proportion of children with uncomplicated malaria receive appropriate treatment late, contributing to progression of illness to severe disease. We explored contexts of caregiver delays in seeking appropriate care for children with severe malaria. Methods This qualitative study was conducted at the Children’s Ward of Jinja Hospital, where children with severe malaria were hospitalized. A total of 22in-depth interviews were conducted with caregivers of children hospitalized with severe malaria. Issues explored were formulated based on the Partners for Applied Social Sciences (PASS) model, focusing on facilitators and barriersto caregivers’promptseeking and accessing ofappropriate care. The data were coded deductively using ATLAS.ti (version 7.5). Codes were then grouped into families based on emerging themes. Results Caregivers’ rating of initial symptoms as mild illness lead to delays in response. Use of home initiated interventions with presumably ineffective herbs or medicines was common, leading to further delay. When care was sought outside the home, drug shops were preferred over public health facilities for reasons of convenience. Drug shops often provided sub-optimal care, and thus contributed to delays in access to appropriate care. Public facilities were often a last resort when illness was perceived to be progressing to severe disease. Further delays occurred at health facilities due to inadequate referral systems. Conclusion Communities living in endemic areas need to be sensitized about the significance of fever, even if mild, as an indicator of malaria. Additionally, amidst ongoing efforts at bringing antimalarial treatment services closer to communities, the value of drug shops as providers ofrationalantimalarialtreatment needs to be reviewed.
An IoT Tree Health Indexing Method Using Heterogeneous Neural Network

Urban trees provide essential ecosystem services on regulating temperature and humidity, filtering urban pollutants, and improving air quality. However, the increasing number of urban trees put pressure on maintenance and public safety. The total compensatory value of the trees, consisting of inspection, maintenance, and settlement of tree damages, is more than $2 trillion USD. At this point in time, there is no known research on manifesting guidance on automated tree health assessment. The Internet-of-Things (IoT) proliferates the deployment of wireless sensors and networks. A concept of the IoT trees is raised to implement various sensors on the trees for automated health monitoring and assessment. In this paper, an urban tree health index (UTHI) is first developed to indicate the health of urban IoT trees. The index will facilitate preventive measures on urban trees. To construct the indexing model, seven (7) dynamic (time-series) features and seven (7) static features are extracted to explore the ambient effects on urban tree health. Afterward, a heterogeneous neural network (HNN) for UTHI modeling is developed to adopt the heterogeneous feature structure. In HNN, the dynamic features are analyzed in the gated recurrent unit (GRU) layer and the static features are analyzed in a hidden layer. The novel fusion layer then aggregates the outputs computed from those layers and further explores unseen correlations among all features. The experimental result verifies that the HNN-based modeling achieves high accuracy and model fitness with the error rate of less than 5%. In addition, the HNN achieves 34% to 66% improvement of accuracy in comparison with the other machine learning algorithms. The supremacy of the developed model is that all indexing features can be predefined or monitored by the IoT sensors, thus rendering an automated and economic urban tree management.
Hybrid insulin peptides are neo-epitopes for CD4 T cells in autoimmune diabetes.

PURPOSE OF REVIEW The current review covers recent advances in our knowledge of the newest autoantigen neo-epitopes in type 1 diabetes (T1D): hybrid insulin peptides or HIPs. These ligands for autoreactive T cells are formed by peptide fusion, a novel posttranslational modification process that we first reported in 2016. RECENT FINDINGS Two major HIPs in the nonobese diabetic mouse model, ligands for diabetogenic CD4 T-cell clones, have been incorporated into tetramers and used to track HIP-reactive T cells during progression of disease. HIPs have also been used in strategies for induction of antigen-specific tolerance and show promise for delaying or reversing disease in the nonobese diabetic mouse. Importantly, CD4 T cells reactive to various HIPs have been detected in the islets and peripheral blood mononuclear cell of T1D patients and newly developed human T-cell clones are being employed to gather more data on the phenotype and function of HIP-reactive T cells in patients. SUMMARY These new hybrid insulin peptide epitopes may provide the basis for establishing autoreactive T cells as biomarkers of disease and as potential tolerogens for treatment of T1D.
Health Disparities of Employees in Taiwan with Major Cancer Diagnosis from 2004 to 2015: A Nation- and Population-Based Analysis

Background: Health disparities related to environmental exposure exist in different industries. Cancer is currently a leading cause of morbidity and mortality worldwide. Much remains unknown about the types of work and industries that face the greatest cancer risks. In this study, we aimed to provide the overall and specific cancer incidences among all workers from 2004 to 2015. We also aimed to show the all-cause mortality for all employees with a first-ever cancer diagnosis. Methods: All workers in Taiwan in the labor insurance database in 2004–2015 were linked to the national health insurance databases. The annual overall and specific cancer incidences in 2004–2015 were calculated and stratified by industry and gender. Age-standardized incidence rates were also calculated. Results: A total of 332,575 workers (46.5% male) who had a first-ever cancer diagnosis from 2004–2015 were identified from 16,720,631 employees who provided 1,564,593 person-years of observation. The fishing, wholesale, construction, and building industries were identified as high-risk industries, with at least 5% of employees within them receiving a first-ever cancer diagnosis. Temporal trends of cancer incidences showed a range from 235.5 to 294.4 per 100,000 with an overall upward trend and an increase of 1.3-fold from 2004 to 2015. There were significant increases over that time for breast cancer (25%); colon cancer (8%); lung, bronchial, and tracheal cancers (11%); and oral cancer (1.7%). However, the incidence rates of cervical cancer and liver and intrahepatic cholangiocarcinoma decreased by 11.2% and 8.3%, respectively. Among the 332,575 workers with a first-ever cancer diagnosis, there were 110,692 deaths and a mortality rate of 70.75 per 1000 person-years. Conclusions: The overall incidence of cancer increased over the 10-year study period, probably due to the aging of the working population. High-risk industries are concentrated in the labor-intensive blue-collar class, which is related to aging and socioeconomic status intergradation.