Semantically Guided Depth Upsampling

We present a novel method for accurate and efficient up- sampling of sparse depth data, guided by high-resolution imagery. Our approach goes beyond the use of intensity cues only and additionally exploits object boundary cues through structured edge detection and semantic scene labeling for guidance. Both cues are combined within a geodesic distance measure that allows for boundary-preserving depth in- terpolation while utilizing local context. We model the observed scene structure by locally planar elements and formulate the upsampling task as a global energy minimization problem. Our method determines glob- ally consistent solutions and preserves fine details and sharp depth bound- aries. In our experiments on several public datasets at different levels of application, we demonstrate superior performance of our approach over the state-of-the-art, even for very sparse measurements.Comment: German Conference on Pattern Recognition 2016 (Oral

Invisible Inequalities: Persistent Health Threats in the Urban Built Environment

A city’s materiality creates health and illness. We both write about air – its movement and its temperature – as it affects human bodies. We offer two topics as case studies, heat and ventilation, and how they exacerbate the effects of each other, to illustrate the long history of seemingly new challenges posed by the novel coronavirus. The environmental inequalities of heat exposure and access to fresh air underscore that cities can only be considered ‘low impact’ on the environment from a top-down, large-scale approach. In writing about air and heat, we direct attention to the feel and the bodily impacts of unseen but persistent problems in housing. Centuries of building inequalities into the urban environment are coming to bear on our present debates about indoor space, ventilation, and viral spread as cities encounter the COVID-19 crisis

Microsatellite instability in ovarian neoplasms.

Microsatellite instability has been observed in a variety of sporadic malignancies, but its existence in sporadic ovarian cancer has been the subject of conflicting reports. We have performed a polymerase chain reaction-based microsatellite analysis of DNAs extracted from the neoplastic and non-neoplastic tissues of 41 ovarian cancer patients. Tumour-associated alterations were observed in seven (17%) of these cases. Clinicopathological correlations revealed that: (1) alterations among tumours classified as serous adenocarcinomas occurred with relatively low frequency (2/24 or 8%); (2) most of the tumours with microsatellite alterations (5/7 or 71%) were of less common histopathological types (epithelial subtypes such as endometrioid and mixed serous and mucinous, or non-epithelial types such as malignant mixed Müllerian or germ cell tumours); (3) tumour-associated alterations were observed in 3/4 (75%) of the patients with stage I tumours vs 4/37 (11%) of the patients with stage II, III and IV tumours (P = 0.01); (4) tumour-associated microsatellite instability was found to occur with similar frequencies among patients with and without clinical features suggestive of familial disease, including positive family history, early onset, or multiple primary tumours. In summary, we have observed microsatellite alterations in the neoplastic tissues of ovarian cancer patients with diverse genetic backgrounds and clinicopathological features. The pattern of alterations is consistent with the possibility that multiple mechanisms may be responsible for microsatellite instability in ovarian neoplasms

Health-related quality of life and the burden of prolonged seizures in noninstitutionalized children with epilepsy

OBJECTIVE: This study aimed to provide information on the burden of illness and health-related quality of life (HRQoL) in children with epilepsy who experience prolonged acute convulsive seizures (PACS) in the community setting, and to investigate factors that may predict poor HRQoL in this population. METHODS: Noninstitutionalized children (aged 3–16 years) who had experienced at least one PACS within the past year and had currently prescribed PACS rescue medication were enrolled in a cross-sectional study in Germany, Italy, Spain, and the United Kingdom (Practices in Emergency and Rescue medication For Epilepsy managed with Community-administered Therapy 3 [PERFECT-3]). Clinicians, parents/guardians, and patients completed web-based questionnaires regarding clinical characteristics, PACS frequency, and day-to-day impairment. Patients' HRQoL was rated by clinicians, parents/guardians, and patients themselves using the 5-dimension EuroQol questionnaire (EQ-5D) and summarized as a utility score. Potential predictors of poor HRQoL were tested in individual univariate generalized linear models and a global multivariable model. RESULTS: Enrolled children (N = 286) had experienced 1–400 PACS (median: 4) in the past year. Clinicians reported that 216/281 patients (76.9%) had learning disabilities of varying severity. Mean EQ-5D utility scores rated by clinicians (n = 279), parents (n = 277), and patients (n = 85) were 0.52 (standard deviation: 0.41), 0.51 (0.39), and 0.74 (0.29), respectively. Increasing PACS frequency, increasing severity of learning disability, and specialist school attendance were significantly associated with decreasing EQ-5D utility score. In the multivariable model, having learning disabilities was the best predictor of poor HRQoL. SIGNIFICANCE: Health-related quality of life was very poor in many children with epilepsy whose PACS were managed with rescue medication in the community, with learning disability being the most powerful predictor of patients' HRQoL. Mean EQ-5D utility scores were lower (worse) than published values for many other chronic disorders, indicating that optimal treatment should involve helping children and their families to manage learning disabilities and day-to-day impairments, in addition to preventing seizures

Management of Febrile Neutropenia - a German Prospective Hospital Cost Analysis in Lymphoproliferative Disorders, Non-Small Cell Lung Cancer, and Primary Breast Cancer

Background: Febrile neutropenia/leukopenia (FN/FL) is the most frequent dose-limiting toxicity of myelosuppressive chemotherapy, but German data on economic consequences are limited. Patients and Methods: A prospective, multicentre, longitudinal, observational study was carried out to evaluate the occurrence of FN/FL and its impact on health resource utilization and costs in non-small cell lung cancer (NSCLC), lymphoproliferative disorder (LPD), and primary breast cancer (PBC) patients. Costs are presented from a hospital perspective. Results: A total of 325 consecutive patients (47% LPD, 37% NSCLC, 16% PBC; 46% women; 38% age >= 65 years) with 68 FN/FL episodes were evaluated. FN/FL occurred in 22% of the LPD patients, 8% of the NSCLC patients, and 27% of the PBC patients. 55 FN/FL episodes were associated with at least 1 hospital stay (LPD n = 34, NSCLC n = 10, PBC n = 11). Mean (median) cost per FN/FL episode requiring hospital care amounted to (sic) 3,950 ((sic) 2,355) and varied between (sic) 4,808 ((sic) 3,056) for LPD, (sic) 3,627 ((sic) 2,255) for NSCLC, and (sic) 1,827 ((sic) 1,969) for PBC patients. 12 FN/FL episodes (LPD n = 9, NSCLC n = 3) accounted for 60% of the total expenses. Main cost drivers were hospitalization and drugs (60 and 19% of the total costs). Conclusions: FN/FL treatment has economic relevance for hospitals. Costs vary between tumour types, being significantly higher for LPD compared to PBC patients. The impact of clinical characteristics on asymmetrically distributed costs needs further evaluation

The Predictive Value of PITX2 DNA Methylation for High-Risk Breast Cancer Therapy: Current Guidelines, Medical Needs, and Challenges

High-risk breast cancer comprises distinct tumor entities such as triple-negative breast cancer (TNBC) which is characterized by lack of estrogen (ER) and progesterone (PR) and the HER2 receptor and breast malignancies which have spread to more than three lymph nodes. For such patients, current (inter)national guidelines recommend anthracycline-based chemotherapy as the standard of care, but not all patients do equally benefit from such a chemotherapy. To further improve therapy decision-making, predictive biomarkers are of high, so far unmet, medical need. In this respect, predictive biomarkers would permit patient selection for a particular kind of chemotherapy and, by this, guide physicians to optimize the treatment plan for each patient individually. Besides DNA mutations, DNA methylation as a patient selection marker has received increasing clinical attention. For instance, significant evidence has accumulated that methylation of the PITX2 (paired-like homeodomain transcription factor 2) gene might serve as a novel predictive and prognostic biomarker, for a variety of cancer diseases. This review highlights the current understanding of treatment modalities of high-risk breast cancer patients with a focus on recommended treatment options, with special attention on the future clinical application of PITX2 as a predictive biomarker to personalize breast cancer management

Biologic Monitoring of Exposure to Environmental Chemicals throughout the Life Stages: Requirements and Issues for Consideration for the National Children’s Study

Biomonitoring of exposure is a useful tool for assessing environmental exposures. The matrices available for analyses include blood, urine, breast milk, adipose tissue, and saliva, among others. The sampling can be staged to represent the particular time period of concern: preconceptionally from both parents, from a pregnant woman during each of the three trimesters, during and immediately after childbirth, from the mother postnatally, and from the child as it develops to 21 years of age. The appropriate sample for biomonitoring will depend upon matrix availability, the time period of concern for a particular exposure or health effect, and the different classes of environmental chemicals to be monitored. This article describes the matrices available for biomonitoring during the life stages being evaluated in the National Children’s Study; the best biologic matrices for exposure assessment for each individual chemical class, including consideration of alternative matrices; the analytical methods used for analysis, including quality control procedures and less costly alternatives; the costs of analysis; optimal storage conditions; and chemical and matrix stability during long-term storage

Ty1 integrase overexpression leads to integration of non-Ty1 DNA fragments into the genome of Saccharomyces cerevisiae

The integrase of the Saccharomyces cerevisiae retrotransposon Ty1 integrates Ty1 cDNA into genomic DNA likely via a transesterification reaction. Little is known about the mechanisms ensuring that integrase does not integrate non-Ty DNA fragments. In an effort to elucidate the conditions under which Ty1 integrase accepts non-Ty DNA as substrate, PCR fragments encompassing a selectable marker gene were transformed into yeast strains overexpressing Ty1 integrase. These fragments do not exhibit similarity to Ty1 cDNA except for the presence of the conserved terminal dinucleotide 5′-TG-CA-3′. The frequency of fragment insertion events increased upon integrase overexpression. Characterization of insertion events by genomic sequencing revealed that most insertion events exhibited clear hallmarks of integrase-mediated reactions, such as 5 bp target site duplication and target site preferences. Alteration of the terminal dinucleotide abolished the suitability of the PCR fragments to serve as substrates. We hypothesize that substrate specificity under normal conditions is mainly due to compartmentalization of integrase and Ty cDNA, which meet in virus-like particles. In contrast, recombinant integrase, which is not confined to virus-like particles, is able to accept non-Ty DNA, provided that it terminates in the proper dinucleotide sequence