Measuring the snowpack depth with Unmanned Aerial System photogrammetry: comparison with manual probing and a 3D laser scanning over a sample plot

Photogrammetric surveys using Unmanned Aerial Systems (UAS) may represent an alternative to existing methods for measuring the distribution of snow, but additional efforts are still needed to establish this technique as a low-cost, yet precise tool. Importantly, existing works have mainly used sparse evaluation datasets that limit the insight into UAS performance at high spatial resolutions. Here, we compare a UAS-based photogrammetric map of snow depth with data acquired with a MultiStation and with manual probing over a sample plot. The relatively high density of manual data (135\u2009pt over 6700\u2009m2, i.e., 2\u2009pt/100\u2009m2) enables to assess the performance of UAS in capturing the marked spatial variability of snow. The use of a MultiStation, which exploits a scanning principle, also enables to compare UAS data on snow with a frequently used instrument in high-resolution applications. Results show that the Root Mean Square Error (RMSE) between UAS and MultiStation data on snow is equal to 0.036\u2009m when comparing the two point clouds. A large fraction of this difference may be, however, due to spurious differences between datasets due to simultaneous snowmelt, as the RMSE on bare soil is equal to 0.02\u2009m. When comparing UAS data with manual probing, the RMSE is equal to 0.31\u2009m, whereas the median difference is equal to 0.12\u2009m. The statistics significantly decrease up to RMSE\u2009=\u20090.17\u2009m when excluding areas of likely water accumulation in snow and ice layers. These results suggest that UAS represent a competitive choice among existing techniques for high-precision, high-resolution remote sensing of snow

Glutamine Starvation Affects Cell Cycle, Oxidative Homeostasis and Metabolism in Colorectal Cancer Cells

Cancer cells adjust their metabolism to meet energy demands. In particular, glutamine addiction represents a distinctive feature of several types of tumors, including colorectal cancer. In this study, four colorectal cancer cell lines (Caco-2, HCT116, HT29 and SW480) were cultured with or without glutamine. The growth and proliferation rate, colony-forming capacity, apoptosis, cell cycle, redox homeostasis and metabolomic analysis were evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide test (MTT), flow cytometry, high-performance liquid chromatography and gas chromatography/mass spectrometry techniques. The results show that glutamine represents an important metabolite for cell growth and that its deprivation reduces the proliferation of colorectal cancer cells. Glutamine depletion induces cell death and cell cycle arrest in the GO/G1 phase by modulating energy metabolism, the amino acid content and antioxidant defenses. Moreover, the combined glutamine starvation with the glycolysis inhibitor 2-deoxy-D-glucose exerted a stronger cytotoxic effect. This study offers a strong rationale for targeting glutamine metabolism alone or in combination with glucose metabolism to achieve a therapeutic benefit in the treatment of colon cancer

Long-term sustainability of a distributed RI: the EPOS case

The European Plate Observing System (EPOS) is a distributed research infrastructure (RI) with the mission to establish and maintain sustainable and long-term access to solid Earth science data and services by integrating the diverse national research infrastructures under a common federated framework governed by EPOS ERIC (European Research Infrastructure Consortium). This paper presents the EPOS approach to ensure financial viability and to tackle the challenge of long-term sustainability of the RI during its operational phase. The EPOS approach to sustainable operation considers the scientific impact and the promotion of scientific research as the preconditions to achieve long-term sustainability. Enabling scientific excellence implies that high-quality data and services are provided reliably and continuously to establish the RI as the enabler of investigations to solid Earth scientists. The strategic approach and the solutions adopted by EPOS ERIC to address the long-term sustainability of a pan-European distributed RI are discussed in this paper focusing on the governance structure, considered as the qualifying dimension that gathers and connects the financial, legal and technical dimensions. The governance and the financial models are discussed to delineate the legal framework necessary to operate the EPOS RI relying on the implemented technical solutions. A sufficiently stable investment environment is necessary to allow the RI to concentrate on providing high quality services for their user communities. This paper discusses the current actions and challenges to be addressed for achieving this goal.publishedVersio

The war in Ukraine and food security in Eastern Europe

This dispatch outlines some of the immediate consequences and long-term challenges posed by the Ukraine war on food security and production systems in Eastern Europe. We draw particular attention to the food aid and provisioning realities around many million (and increasing) numbers of Ukrainian refugees, and the current lack of systemic, government-coordinated responses to the humanitarian crisis. Further, we outline the distinct forms of agriculture characterising Eastern Europe, notably, the short supply chains and farming networks that are socially and environmentally unique and valuable, and are a result of the persistence of smaller, family-led farms. However, these farms and farmers are facing increasingly difficult times as a result of inflation, rising fuel prices, rationing, climate stress, export bans, and now large numbers of refugees arriving to some already very poor rural areas. We highlight the need for these multiple stresses to be discussed together, for their consequences on food production in the short- and long-term, especially as the effects of the war extend beyond the region. These stresses include, in the immediate, a lack (and a lack of reliability) of state aid and infrastructures for refugee hosts and food aid organizations and, in the longer-term, persisting EU-policy and market pushes towards intensification that will greatly challenge the smallholder system in Eastern Europe

Clinical global impression-severity score as a reliable measure for routine evaluation of remission in schizophrenia and schizoaffective disorders

Aims: This study aimed to compare the performance of Positive and Negative Syndrome Scale (PANSS) symptom severity criteria established by the Remission in Schizophrenia Working Group (RSWG) with criteria based on Clinical Global Impression (CGI) severity score. The 6-month duration criterion was not taken into consideration. Methods: A convenience sample of 112 chronic psychotic outpatients was examined. Symptomatic remission was evaluated according to RSWG severity criterion and to a severity criterion indicated by the overall score obtained at CGI-Schizophrenia (CGI-SCH) rating scale (≤3) (CGI-S). Results: Clinical remission rates of 50% and 49.1%, respectively, were given by RSWG and CGI-S, with a significant level of agreement between the two criteria in identifying remitted and non-remitted cases. Mean scores at CGI-SCH and PANSS scales were significantly higher among remitters, independent of the remission criteria adopted. Measures of cognitive functioning were largely independent of clinical remission evaluated according to both RSWG and CGI-S. When applying RSWG and CGI-S criteria, the rates of overall good functioning yielded by Personal and Social Performance scale (PSP) were 32.1% and 32.7%, respectively, while the mean scores at PSP scale differed significantly between remitted and non-remitted patients, independent of criteria adopted. The proportion of patients judged to be in a state of well-being on Social Well-Being Under Neuroleptics-Short Version scale (SWN-K) were, respectively, 66.1% and 74.5% among remitters according to RSWG and CGI-S; the mean scores at the SWN scale were significantly higher only among remitters according to CGI-S criteria. Conclusions: CGI severity criteria may represent a valid and user-friendly alternative for use in identifying patients in remission, particularly in routine clinical practic

Immunohistochemical study of the expression of N-cadherin in cutaneous melanoma and in dysplastic melanocytic nevi

It has been suggested that the invasive and metastatic potential of melanoma cells reflects their ability to undergo epithelial-mesenchymal transition (EMT)-like phenotypic changes (1). Important hallmarks of EMT include the loss of E-cadherin expression and increased expression of the cell adhesion molecule N-cadherin. This cadherin switch leads melanoma cells to lose contact with keratinocytes in the epi- dermis and interact instead with stromal fibroblasts and endothelial cells, thus promoting dermal and vascular melanoma invasion (2). In melanoma, up-regulation of N-cadherin can be induced by the overexpression of the transmembrane receptor Notch1, thus providing a mechanism that underlines increased melanoma cell adhesion, survival, growth, and tumor progression when Notch signaling is activated (3). In this study, the expression of N-cadherin and Notch1 was evaluated by immuno- histochemical analysis in primary cutaneous melanomas and lymph node metastases. First, we evaluated the prognostic impact of high N-cadherin expression on sur- vival in melanoma patients. Second, we correlated the expression of N-cadherin with the full clinicopathological data of patients. Third, we investigated the relationship between the expression of N-cadherin and Notch1. Moreover, N-cadherin expression was evaluated in dysplastic melanocytic nevi and in normal skin. The results will be discussed

Centimetric accuracy in snow depth using unmanned aerial system photogrammetry and a multistation

Performing two independent surveys in 2016 and 2017 over a flat sample plot (6700 m2), we compare snow-depth measurements from Unmanned-Aerial-System (UAS) photogrammetry and from a new high-resolution laser-scanning device (MultiStation) with manual probing, the standard technique used by operational services around the world. While previous comparisons already used laser scanners, we tested for the first time aMultiStation, which has a different measurement principle and is thus capable of millimetric accuracy. Both remote-sensing techniques measured point clouds with centimetric resolution, while we manually collected a relatively dense amount of manual data (135 pt in 2016 and 115 pt in 2017). UAS photogrammetry and the MultiStation showed repeatable, centimetric agreement in measuring the spatial distribution of seasonal, dense snowpack under optimal illumination and topographic conditions (maximum RMSE of 0.036 m between point clouds on snow). A large fraction of this difference could be due to simultaneous snowmelt, as the RMSE between UAS photogrammetry and the MultiStation on bare soil is equal to 0.02 m. The RMSE between UAS data and manual probing is in the order of 0.20-0.30 m, but decreases to 0.06-0.17 m when areas of potential outliers like vegetation or river beds are excluded. Compact and portable remote-sensing devices like UASs or aMultiStation can thus be successfully deployed during operational manual snow courses to capture spatial snapshots of snow-depth distribution with a repeatable, vertical centimetric accuracy

Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?

This work was supported by National Institute of Biomedical Imaging and Bioengineering Grant No. U54EB020403 (to the ENIGMA consortium)

Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium

Schizophrenia (SZ) is associated with an increased risk of life-long cognitive impairments, age-related chronic disease, and premature mortality. We investigated evidence for advanced brain ageing in adult SZ patients, and whether this was associated with clinical characteristics in a prospective meta-analytic study conducted by the ENIGMA Schizophrenia Working Group. The study included data from 26 cohorts worldwide, with a total of 2803 SZ patients (mean age 34.2 years; range 18-72 years; 67% male) and 2598 healthy controls (mean age 33.8 years, range 18-73 years, 55% male). Brain-predicted age was individually estimated using a model trained on independent data based on 68 measures of cortical thickness and surface area, 7 subcortical volumes, lateral ventricular volumes and total intracranial volume, all derived from T1-weighted brain magnetic resonance imaging (MRI) scans. Deviations from a healthy brain ageing trajectory were assessed by the difference between brain-predicted age and chronological age (brain-predicted age difference [brain-PAD]). On average, SZ patients showed a higher brain-PAD of +3.55 years (95% CI: 2.91, 4.19; I2 = 57.53%) compared to controls, after adjusting for age, sex and site (Cohen's d = 0.48). Among SZ patients, brain-PAD was not associated with specific clinical characteristics (age of onset, duration of illness, symptom severity, or antipsychotic use and dose). This large-scale collaborative study suggests advanced structural brain ageing in SZ. Longitudinal studies of SZ and a range of mental and somatic health outcomes will help to further evaluate the clinical implications of increased brain-PAD and its ability to be influenced by interventions

Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 control subjects via the enhancing neuro Imaging genetics through meta analysis (ENIGMA) Consortium

BACKGROUND: The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of cortical thickness and surface area abnormalities in schizophrenia conducted by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Schizophrenia Working Group. METHODS: The study included data from 4474 individuals with schizophrenia (mean age, 32.3 years; range, 11-78 years; 66% male) and 5098 healthy volunteers (mean age, 32.8 years; range, 10-87 years; 53% male) assessed with standardized methods at 39 centers worldwide. RESULTS: Compared with healthy volunteers, individuals with schizophrenia have widespread thinner cortex (left/right hemisphere: Cohen's d = -0.530/-0.516) and smaller surface area (left/right hemisphere: Cohen's d = -0.251/-0.254), with the largest effect sizes for both in frontal and temporal lobe regions. Regional group differences in cortical thickness remained significant when statistically controlling for global cortical thickness, suggesting regional specificity. In contrast, effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were two to three times larger in individuals receiving antipsychotic medication relative to unmedicated individuals. Negative correlations between age and bilateral temporal pole thickness were stronger in individuals with schizophrenia than in healthy volunteers. Regional cortical thickness showed significant negative correlations with normalized medication dose, symptom severity, and duration of illness and positive correlations with age at onset. CONCLUSIONS: The findings indicate that the ENIGMA meta-analysis approach can achieve robust findings in clinical neuroscience studies; also, medication effects should be taken into account in future genetic association studies of cortical thickness in schizophrenia