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Introduction: Rhabdomyomas are benign tumors of striated muscle, the bladder localization is very rare. Clinical Case: We present an 87-year-old male consulting for gross hematuria. Cystoscopy was done with evidence of bulged bladder mucosa in right side wall and dome. Post-transurethral resection of the bladder (TURB) pathological anatomy was negative for malignancy. As extension study abdominopelvic computed tomography was performed identifying a bladder thickening of right posterior sidewall and an increased density of the adjacent fat. Second TURB was performed and a fetal bladder rhabdomyoma intermediate type was obtained. We performed another biopsy to confirm this rare pathology, with the same diagnosis. Subsequently, the patient continues with hematuria deciding on hemostatic radiotherapy (not candidate for cystectomy or arterial embolization). Currently, the patient is asymptomatic. Discussion: Bladder rhabdomyomas are rare tumors, and, in fact, there have been only 5 papers published. Some cases are only isolation cited in the bladder mesenchymal tumors, and other polemic cases in which clinical and macroscopic characteristics remembered a rhabdomyosarcoma. The importance of this publication case is the macro- and microscopic images that can corroborate the final diagnosis, helping us to differentiate between rhabdomyoma, rhabdomyofibroma, or the malignant rhabdomyosarcoma, and shows the treatment possibilities of these tumors. [ABSTRACT FROM AUTHOR]

Introduction: Tobacco is one of the main causes of preventable mortality in our environment, in addition to having been correlated with numerous diseases. Smoking cessation improves health status and life expectancy. Pharmacological treatment of smoking cessation increases the likelihood that patient will successfully quit smoking., Method and Design: A search was carried out in the PubMed and UpToDate databases, obtaining a total of 11 systematic reviews or meta-analyses published in the last five years. After applying inclusion criteria and reading summaries, 5 total articles were obtained for the final review., Results and Discussion: Cytisine is a safe and effective treatment for smoking cessation. The most effective treatment in the clinical trials reviewed is varenicline associated with nicotine replacement therapy.There is less evidence collected on cytisine treatment, but it shows that it is also an effective therapy in smoking cessation, also demonstrating its usefulness in the long term. In addition, therapy with cytisine seems to entail fewer adverse effects than treatment with varenicline., (Copyright SEFAC. Sociedad Española de Farmacia Clínica, Familiar y Comunitaria. This article is available from url https://www.farmaceuticoscomunitarios.org/.)

Introduction: Bladder cancer (BC) is a common malignancy in Spain. The aims of this study were: to identify the proportion of patients diagnosed with BC incidentally or after symptomatic presentation in a contemporary period in Spain; to compare demographic, clinical, and pathologic characteristics between these groups., Methods: This was a retrospective analysis of a multi-centre observational study of 26 hospitals in the Spanish National Health System of all BCs newly diagnosed in 2011. The study represented 21.5% of the Spanish population and hospitals were selected in proportion to Spain's regions to ensure a representative sample. Patients were categorized by whether the cancer was diagnosed incidentally or after symptomatic presentation and baseline demographic, pathologic, and clinical characteristics were analyzed., Results: 2472 were newly diagnosed with BC at the 26 participating Spanish hospitals with 308 (12.5%) of cases diagnosed incidentally and 2164 (87.5%) diagnosed after symptomatic presentation. No differences were observed between patients diagnosed incidentally vs. symptomatically in terms of demographics or measured co-morbidities. Compared to symptomatically diagnosed bladder tumours, those diagnosed incidentally were more likely to have a papillary appearance, to be significantly smaller, and less likely to have positive/suspicious cytology. Additionally, incidentally diagnosed bladder tumours were less likely to be muscle-invasive (11.7% vs. 25.0%, p < 0.01) nor aggressive at pathology, with 33.6% Grade 3 compared to 50.1%, (p < 0.01)., Conclusions: We identified a significant percentage (12.5%) of new bladder cancer diagnosis made incidentally in a representative sample of the Spanish population. These tumours exhibited less aggressive pathologic characteristics than their symptomatic counterparts., (Copyright © 2022 AEU. Published by Elsevier España, S.L.U. All rights reserved.)

A low-cost smart sensor GNSS system has been developed to provide accurate real-time position and orientation measurements on a floating offshore wind platform. The approach chosen to offer a viable and reliable solution for this application is based on the use of the well-known advantages of the GNSS system as the main driver for enhancing the accuracy of positioning. For this purpose, the data reported in this work are captured through a GNSS receiver operating over multiple frequency bands (L1, L2, L5) and combining signals from different constellations of navigation satellites (GPS, Galileo, and GLONASS), and they are processed through the precise point positioning (PPP) and real-time kinematic (RTK) techniques. Furthermore, aiming to improve global positioning, the processing unit fuses the results obtained with the data acquired through an inertial measurement unit (IMU), reaching final accuracy of a few centimeters. To validate the system designed and developed in this proposal, three different sets of tests were carried out in a (i) rotary table at the laboratory, (ii) GNSS simulator, and (iii) real conditions in an oceanic buoy at sea. The real-time positioning solution was compared to solutions obtained by post-processing techniques in these three scenarios and similar results were satisfactorily achieved.

Objective: To determine the prevalence and factors associated with the development of ocular hypertension and glaucoma, in patients undergoing penetrating keratoplasty, in the Eye Clinic of the city of Bogotá., Method: A retrospective cross-sectional study was conducted, and 130 eyes of patients undergoing penetrating keratoplasty were analyzed at the Eye Clinic in Bogotá, between January 2015 and August 2018. Demographic and clinical data were obtained, and it was determined by bivariate analysis, the association factors and the prevalence of the pathology under study., Results: Prevalence of ocular hypertension was 27.69% and glaucoma 10%. Average age 48.93 ± 18.63 years; higher frequency of presentation in men (61.5%). Statistically significant association factors were male sex (PR 2.59), presence of peripheral anterior synechiae (PR 1.83), history of trauma (PR 2.16), prior PK (PR 2.10) and graft failure (PR 2.04). Post-KP glaucoma only had statistically significant association with bullous keratopathy (PR 2.76)., Conclusions: Ocular hypertension and glaucoma had a high prevalence after penetrating keratoplasty, and the association factors were similar to those reported in other international studies. Knowing these factors, allows focusing surveillance and treatment in these patients to avoid blindness due to damage of the optic nerve or corneal graft., (Copyright © 2020 Sociedad Española de Oftalmología. Published by Elsevier España, S.L.U. All rights reserved.)

Plant height (PH) is an essential trait in the screening of most crops. While in crops such as wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above-ground biomass. PH is an easy trait to measure manually, although it can be labor-intense depending on the number of plots. There is an increasing demand for alternative approaches to estimate PH in a higher throughput mode. Crop surface models (CSMs) derived from dense point clouds generated via aerial imagery could be used to estimate PH. This study evaluates PH estimation at different phenological stages using plot-level information from aerial imaging-derived 3D CSM in wheat inbred lines during two consecutive years. Multi-temporal and high spatial resolution images were collected by fixed-wing ( P l a t F W ) and multi-rotor ( P l a t M R ) unmanned aerial vehicle (UAV) platforms over two wheat populations (50 and 150 lines). The PH was measured and compared at four growth stages (GS) using ground-truth measurements (PHground) and UAV-based estimates (PHaerial). The CSMs generated from the aerial imagery were validated using ground control points (GCPs) as fixed reference targets at different heights. The results show that PH estimations using P l a t F W were consistent with those obtained from P l a t M R , showing some slight differences due to image processing settings. The GCPs heights derived from CSM showed a high correlation and low error compared to their actual heights ( R 2 ≥ 0.90, RMSE ≤ 4 cm). The coefficient of determination ( R 2 ) between PHground and PHaerial at different GS ranged from 0.35 to 0.88, and the root mean square error ( RMSE ) from 0.39 to 4.02 cm for both platforms. In general, similar and higher heritability was obtained using PHaerial across different GS and years and ranged according to the variability, and environmental error of the PHground observed (0.06-0.97). Finally, we also observed high Spearman rank correlations (0.47-0.91) and R 2 (0.63-0.95) of PHaerial adjusted and predicted values against PHground values. This study provides an example of the use of UAV-based high-resolution RGB imagery to obtain time-series estimates of PH, scalable to tens-of-thousands of plots, and thus suitable to be applied in plant wheat breeding trials., Competing Interests: GM was not employed by company KWS Momont Recherche during the execution of this research. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Volpato, Pinto, González-Pérez, Thompson, Borém, Reynolds, Gérard, Molero and Rodrigues.)

We present a case of a 67 year old male with a cortical nodular tumour of the left kidney. During a year's follow-up with ultrasound and MRI, the tumour was seen to increase in size by 16-20 mm. The nodule was surgically removed. Microscopically it was well defined and unencapsulated, with a proliferation of typical fusiform cells of smooth muscle cell appearance, clumped around well vascularized areas. Immunohistochemically, the neoplasm was positive for muscle markers (smooth muscle actin, desmin and caldesmon) and melanocyte markers (HMB-45 and Melan A). Our case would appear to be a renal neoplasm with an angioleiomyomatous pattern, but with immunohistochemical characteristics of angiomyolipoma (PEComa), however, without either a lipomatous or lipid cell component. We found no previous reports of this type of tumour in the literature., (Publicado por Elsevier España, S.L.U.)

Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by improving prediction accuracy for grain yield. Hyperspectral cameras quantify canopy reflectance across a wide range of wavelengths that are associated with numerous biophysical and biochemical processes in plants. Genomic selection models utilize genome-wide marker or pedigree information to predict the genetic values of breeding lines. In this study, we propose a multi-kernel GBLUP approach to genomic selection that uses genomic marker-, pedigree-, and hyperspectral reflectance-derived relationship matrices to model the genetic main effects and genotype × environment ( G  ×  E ) interactions across environments within a bread wheat ( Triticum aestivum L.) breeding program. We utilized an airplane equipped with a hyperspectral camera to phenotype five differentially managed treatments of the yield trials conducted by the Bread Wheat Improvement Program of the International Maize and Wheat Improvement Center (CIMMYT) at Ciudad Obregón, México over four breeding cycles. We observed that single-kernel models using hyperspectral reflectance-derived relationship matrices performed similarly or superior to marker- and pedigree-based genomic selection models when predicting within and across environments. Multi-kernel models combining marker/pedigree information with hyperspectral reflectance phentoypes had the highest prediction accuracies; however, improvements in accuracy over marker- and pedigree-based models were marginal when correcting for days to heading. Our results demonstrate the potential of using hyperspectral imaging to predict grain yield within a multi-environment context and also support further studies on the integration of hyperspectral reflectance phenotyping into breeding programs., (Copyright © 2019 Krause et al.)

Power is one of the most complex organizational attributes to understand due to the multiple related variables and dimensions in which it appears. The ownership and use and of power are reflected in the interpersonal relationships within an organization, as a result, modeling its structure and interactions can lead to knowledge about the power networks that shape it. The objective of this study was to identify the behavior of organizational networks based on existing sources of power, using a consensual analysis of the different topologies present in these networks. The study was carried out in a private production company in Ecuador, which has representation at a domestic level. To this end, a 12-question personalized questionnaire was designed with the aim of identifying specific networks and was applied to 1190 workers in the company. The results were obtained using organizational network analysis and a consensus strategy to integrate the centralities found in multiple networks into one. This study can serve as a reference to organizations, so they can know the relationships between people within it, as part of their management process. In this way, the identification of people within power networks is useful for knowing the "key" actors in the promotion of organizational changes, as well as for the development of career plans based on the position that people occupy in the organizational system.

Genomic selection and high-throughput phenotyping (HTP) are promising tools to accelerate breeding gains for high-yielding and climate-resilient wheat varieties. Hence, our objective was to evaluate them for predicting grain yield (GY) in drought-stressed (DS) and late-sown heat-stressed (HS) environments of the International maize and wheat improvement center's elite yield trial nurseries. We observed that the average genomic prediction accuracies using fivefold cross-validations were 0.50 and 0.51 in the DS and HS environments, respectively. However, when a different nursery/year was used to predict another nursery/year, the average genomic prediction accuracies in the DS and HS environments decreased to 0.18 and 0.23, respectively. While genomic predictions clearly outperformed pedigree-based predictions across nurseries, they were similar to pedigree-based predictions within nurseries due to small family sizes. In populations with some full-sibs in the training population, the genomic and pedigree-based prediction accuracies were on average 0.27 and 0.35 higher than the accuracies in populations with only one progeny per cross, indicating the importance of genetic relatedness between the training and validation populations for good predictions. We also evaluated the item-based collaborative filtering approach for multivariate prediction of GY using the green normalized difference vegetation index from HTP. This approach proved to be the best strategy for across-nursery predictions, with average accuracies of 0.56 and 0.62 in the DS and HS environments, respectively. We conclude that GY is a challenging trait for across-year predictions, but GS and HTP can be integrated in increasing the size of populations screened and evaluating unphenotyped large nurseries for stress-resilience within years.

Background: Modern agriculture uses hyperspectral cameras that provide hundreds of reflectance data at discrete narrow bands in many environments. These bands often cover the whole visible light spectrum and part of the infrared and ultraviolet light spectra. With the bands, vegetation indices are constructed for predicting agronomically important traits such as grain yield and biomass. However, since vegetation indices only use some wavelengths (referred to as bands), we propose using all bands simultaneously as predictor variables for the primary trait grain yield; results of several multi-environment maize (Aguate et al. in Crop Sci 57(5):1-8, 2017) and wheat (Montesinos-López et al. in Plant Methods 13(4):1-23, 2017) breeding trials indicated that using all bands produced better prediction accuracy than vegetation indices. However, until now, these prediction models have not accounted for the effects of genotype × environment (G × E) and band × environment (B × E) interactions incorporating genomic or pedigree information., Results: In this study, we propose Bayesian functional regression models that take into account all available bands, genomic or pedigree information, the main effects of lines and environments, as well as G × E and B × E interaction effects. The data set used is comprised of 976 wheat lines evaluated for grain yield in three environments (Drought, Irrigated and Reduced Irrigation). The reflectance data were measured in 250 discrete narrow bands ranging from 392 to 851 nm (nm). The proposed Bayesian functional regression models were implemented using two types of basis: B-splines and Fourier. Results of the proposed Bayesian functional regression models, including all the wavelengths for predicting grain yield, were compared with results from conventional models with and without bands., Conclusions: We observed that the models with B × E interaction terms were the most accurate models, whereas the functional regression models (with B-splines and Fourier basis) and the conventional models performed similarly in terms of prediction accuracy. However, the functional regression models are more parsimonious and computationally more efficient because the number of beta coefficients to be estimated is 21 (number of basis), rather than estimating the 250 regression coefficients for all bands. In this study adding pedigree or genomic information did not increase prediction accuracy.

Capuli cherry (Prunus serotina Ehr. subsp. capuli (Cav.) McVaugh) fruits from the inter-Andean region of Ecuador were analysed to determine their bioactive compounds content, total antioxidant capacity, radical scavenging activity and their anti-inflammatory and protective effects against the cytotoxic damage mediated by lipopolysaccharide (LPS) in RAW 264.7 macrophages. Capuli fruits proved to be a natural source of bioactive compounds such as anthocyanins, vitamin C and β-carotene as well as to present an important total antioxidant capacity and radical scavenging activities. RAW 264.7 macrophages were incubated with different concentration of Capuli crude extract and subsequently activated by LPS to determine the markers related to oxidative damage and the proinflammatory cytokine production. The markers of oxidative damage, nitrite levels, the interleukin 1β messenger RNA levels and the tumor necrosis factor α mRNA levels and secretion were significantly decreased after the pre-incubated with Capuli extract and subsequently stimulated with LPS. In summary, Capuli extract attenuated the LPS-induced damage in RAW 264.7 macrophages due to its antioxidant and anti-inflammatory properties, showing that Capuli fruits may represent a relevant source of bioactive compounds with promising benefits for human health., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: Modern agriculture uses hyperspectral cameras to obtain hundreds of reflectance data measured at discrete narrow bands to cover the whole visible light spectrum and part of the infrared and ultraviolet light spectra, depending on the camera. This information is used to construct vegetation indices (VI) (e.g., green normalized difference vegetation index or GNDVI, simple ratio or SRa, etc.) which are used for the prediction of primary traits (e.g., biomass). However, these indices only use some bands and are cultivar-specific; therefore they lose considerable information and are not robust for all cultivars., Results: This study proposes models that use all available bands as predictors to increase prediction accuracy; we compared these approaches with eight conventional vegetation indexes (VIs) constructed using only some bands. The data set we used comes from CIMMYT's global wheat program and comprises 1170 genotypes evaluated for grain yield (ton/ha) in five environments (Drought, Irrigated, EarlyHeat, Melgas and Reduced Irrigated); the reflectance data were measured in 250 discrete narrow bands ranging between 392 and 851 nm. The proposed models for the simultaneous analysis of all the bands were ordinal least square (OLS), Bayes B, principal components with Bayes B, functional B-spline, functional Fourier and functional partial least square. The results of these models were compared with the OLS performed using as predictors each of the eight VIs individually and combined., Conclusions: We found that using all bands simultaneously increased prediction accuracy more than using VI alone. The Splines and Fourier models had the best prediction accuracy for each of the nine time-points under study. Combining image data collected at different time-points led to a small increase in prediction accuracy relative to models that use data from a single time-point. Also, using bands with heritabilities larger than 0.5 only in Drought as predictor variables showed improvements in prediction accuracy.

Background: Low cost unmanned aerial systems (UAS) have great potential for rapid proximal measurements of plants in agriculture. In the context of plant breeding and genetics, current approaches for phenotyping a large number of breeding lines under field conditions require substantial investments in time, cost, and labor. For field-based high-throughput phenotyping (HTP), UAS platforms can provide high-resolution measurements for small plot research, while enabling the rapid assessment of tens-of-thousands of field plots. The objective of this study was to complete a baseline assessment of the utility of UAS in assessment field trials as commonly implemented in wheat breeding programs. We developed a semi-automated image-processing pipeline to extract plot level data from UAS imagery. The image dataset was processed using a photogrammetric pipeline based on image orientation and radiometric calibration to produce orthomosaic images. We also examined the relationships between vegetation indices (VIs) extracted from high spatial resolution multispectral imagery collected with two different UAS systems (eBee Ag carrying MultiSpec 4C camera, and IRIS+ quadcopter carrying modified NIR Canon S100) and ground truth spectral data from hand-held spectroradiometer., Results: We found good correlation between the VIs obtained from UAS platforms and ground-truth measurements and observed high broad-sense heritability for VIs. We determined radiometric calibration methods developed for satellite imagery significantly improved the precision of VIs from the UAS. We observed VIs extracted from calibrated images of Canon S100 had a significantly higher correlation to the spectroradiometer (r = 0.76) than VIs from the MultiSpec 4C camera (r = 0.64). Their correlation to spectroradiometer readings was as high as or higher than repeated measurements with the spectroradiometer per se., Conclusion: The approaches described here for UAS imaging and extraction of proximal sensing data enable collection of HTP measurements on the scale and with the precision needed for powerful selection tools in plant breeding. Low-cost UAS platforms have great potential for use as a selection tool in plant breeding programs. In the scope of tools development, the pipeline developed in this study can be effectively employed for other UAS and also other crops planted in breeding nurseries.

Xyloglucan oligosaccharides (XGOs) are breakdown products of XGs, the most abundant hemicelluloses of the primary cell walls of non-Poalean species. Treatment of cell cultures or whole plants with XGOs results in accelerated cell elongation and cell division, changes in primary root growth, and a stimulation of defence responses. They may therefore act as signalling molecules regulating plant growth and development. Previous work suggests an interaction with auxins and effects on cell wall loosening, however their mode of action is not fully understood. The effect of an XGO extract from tamarind (Tamarindus indica) on global gene expression was therefore investigated in tobacco BY-2 cells using microarrays. Over 500 genes were differentially regulated with similar numbers and functional classes of genes up- and down-regulated, indicating a complex interaction with the cellular machinery. Up-regulation of a putative XG endotransglycosylase/hydrolase-related (XTH) gene supports the mechanism of XGO action through cell wall loosening. Differential expression of defence-related genes supports a role for XGOs as elicitors. Changes in the expression of genes related to mitotic control and differentiation also support previous work showing that XGOs are mitotic inducers. XGOs also affected expression of several receptor-like kinase genes and transcription factors. Hence, XGOs have significant effects on expression of genes related to cell wall metabolism, signalling, stress responses, cell division and transcriptional control.

Synovial chondromatosis (SC) is a metaplastic disorder characterized by the formation of cartilaginous nodules inside the articular space. SC is uncommon in the temporomandibular joint (TMJ). A few reports suggest a correlation between a traumatic episode and the development of SC. The authors describe the diagnosis, treatment and follow-up of a patient with unilateral SC of the left TMJ in conjunction with bony resorption on the mandibular condyle and a clear traumatic etiology. They review and comment on previous reports in the literature., (Copyright © 2010 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.)

Giant cell angiofibroma was first described as a distinctive orbital soft-tissue tumour in male adults; it is now recognized that this mesenchymal tumour can present in other anatomical regions. In this article, a case of giant cell angiofibroma of parapharyngeal space in a 25-year-old woman is described. Clinicopathologic features of this tumour are reviewed. To the authors' knowledge, this is the first reported case of giant cell angiofibroma arising in the parapharyngeal space., (Copyright © 2010 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.)

Lipomas are common benign neoplasms affecting many adipose tissue-containing organs of the body, including bone. Central lesions in bone account for less than 1% of all lipomas. In the literature, intraosseous lipomas have been reported in various bones such as the frontal and parietal bones, ribs, ulna, phalanges of hand and foot, femoral neck, fibula and calcaneum. No preference has been described for gender or race. As far as the authors know, there have been no documented cases of intraosseous lipoma involving the temporomandibular joint. This report describes a rare case of mandibular intraosseous lipoma in the left condylar area associated with temporomandibular dysfunction.

Objective: To assess the prognosis of cancer patients in an intensive care unit (ICU), to compare the capabilities of severity scoring systems to predict hospital death, and to improve prediction by adding new variables., Patients and Methods: Cohort study in a medical-surgical ICU of a university hospital. Demographic and oncologic characteristics were collected along with death records for all nonsurgical cancer patients admitted between January 1995 and June 2000. Severity scores and risk of death were calculated., Results: In the cohort of 250 patients studied, the hospital mortality rate was 58% and the ICU mortality rate was 38.8%. The best predictions were made with the third version of the Acute Physiology and Chronic Health Evaluation (APACHE III), the total maximum Sequential Organ Failure Assessment (SOFA) score, and the total maximum Multiple Organ Dysfunction Score (MODS). The APACHE II and the Simplified Acute Physiology Score (SAPS), version II, were good predictors, whereas the systems of the International Council on Mining and Metals overestimated hospital mortality and the Modality Prediction Model at 0 and 24 hours (MPM0 and MPM24) and the Logistic Organ Dysfunction System underestimated it. The total maximum SOFA and MODS scores had the greatest discriminating capability and the SOFA0, the MODS0, MPM0, and MPM24 had the poorest. All assessment systems except the APACHE III improved when we added new mortality-associated variables: prior functional status, diabetes, radiographic lung infiltrates, mechanical ventilation, and vasoactive support., Conclusions: Medical oncology patients should not all be denied intensive care. None of the systems assessed offer clinically relevant advantages for predicting hospital mortality in nonsurgical oncology patients in the ICU, although we recommend the SAPS II because it includes oncologic variables, is easy to score, and has good prognostic capability.

Temporomandibular joint arthoscopy is a new diagnostic and therapeutic modality and its development is in its infancy. The purpose of this article is to describe arthroscopic pathologic findings of the superior joint space.