Achieving groundwater resource sustainability at watershed scale by conjunctive use of groundwater and surface resources

The main goal of paper is to identify optimal water resources management strategies for groundwater resources sustainability achievement in Maharlou-Bakhtegan watershed in Iran and maximum water supply probability to the demand sites. In the present study, conjunctive use of groundwater and surface resources along with a scenario-based analysis approach is examined to achieve the optimal water resource management and plan Maharlou-Bakhtegan watershed using MODSIM model as a decision support system (DSS) for the basic river catchment management. The proposed approach is used to assess the effects of the different management strategies, climate changes, groundwater withdrawal levels and irrigation efficiency on the groundwater resources sustainability, agricultural water supply, and environmental water demand satisfaction. To quantify the system performance, six management scenarios are defined and modelled by MODSIM. For assessment of the system performance in each scenario, three performance indicators including reliability, vulnerability, and resiliency are introduced and defined. The findings showed that the fifth scenario (SC5) strategies satisfied all of the considered management goals and proposed the optimal management solutions for sustainability achievement of the groundwater resources.Keywords: Maharlou-Bakhtegan Watershed, Groundwater Resources Sustainability, MODSIM, Scenario Analysis, Performance Indice

Calculation of the Probability of Survival for Trauma Patients Based on Trauma Score and the Injury Severity Score Model in Fatemi Hospital in Ardabil

Background: Trauma, in addition to economic and social costs, is the fourth cause of death in the world and in the year 2000 alone, it led to the death of more than 6000000 people. In Iran, Trauma has the first burden of disease and also needs a long medical surveillance. Objectives: The aim of this study was to evaluate the outcome of trauma cases using the trauma score and the injury severity score (TRISS) model and then comparing this with the results of a major trauma outcome study (MTOS) carried out in the US. Patients and Methods: This study is a retrospective, descriptive and analytical study on 1000 patients aged 2 - 82 years old with closed or penetrating traumas staying at Ardebil Fatemi hospital. In this study, injury severity score (ISS), revised trauma score (RTS), and TRISS were calculated and patients\' viability ratios were obtained. Results: The results showed that 714 patients (71.4%) were male and 286 patients (28.6%) female with the mean age of 35.68 years. In this study 45 (4.5%) and 955 patients (95.5%) had penetrating and blunt traumas, respectively, whereby the head and neck were the most prevalent (74%) areas of injury. The most common reason for these traumas was, accident with vehicles with 670 cases (67%), which resulted in hospitalization. From this group, ninety-seven cases (9.7%) died in the hospital. From these results, calculations of ISS and RTS were 15.50 ± 11.31 and 7.49 ± 0.79, respectively. According to the calculation of the TRISS model, 91.5% of trauma victims should be survived, while only 90.3% survived practically. Conclusions: We can conclude that the surveillance presented to our injured group probably had some defects that need to be revised in therapeutic services to enhance survival requirements

An Enhanced Multi-Objective Biogeography-Based Optimization Algorithm for Automatic Detection of Overlapping Communities in a Social Network with Node Attributes

Community detection is one of the most important and interesting issues in social network analysis. In recent years, simultaneous considering of nodes' attributes and topological structures of social networks in the process of community detection has attracted the attentions of many scholars, and this consideration has been recently used in some community detection methods to increase their efficiencies and to enhance their performances in finding meaningful and relevant communities. But the problem is that most of these methods tend to find non-overlapping communities, while many real-world networks include communities that often overlap to some extent. In order to solve this problem, an evolutionary algorithm called MOBBO-OCD, which is based on multi-objective biogeography-based optimization (BBO), is proposed in this paper to automatically find overlapping communities in a social network with node attributes with synchronously considering the density of connections and the similarity of nodes' attributes in the network. In MOBBO-OCD, an extended locus-based adjacency representation called OLAR is introduced to encode and decode overlapping communities. Based on OLAR, a rank-based migration operator along with a novel two-phase mutation strategy and a new double-point crossover are used in the evolution process of MOBBO-OCD to effectively lead the population into the evolution path. In order to assess the performance of MOBBO-OCD, a new metric called alpha_SAEM is proposed in this paper, which is able to evaluate the goodness of both overlapping and non-overlapping partitions with considering the two aspects of node attributes and linkage structure. Quantitative evaluations reveal that MOBBO-OCD achieves favorable results which are quite superior to the results of 15 relevant community detection algorithms in the literature

Protein O-Mannosylation in the Murine Brain: Occurrence of Mono-O-Mannosyl Glycans and Identification of New Substrates

Protein O-mannosylation is a post-translational modification essential for correct development of mammals. In humans, deficient O-mannosylation results in severe congenital muscular dystrophies often associated with impaired brain and eye development. Although various O-mannosylated proteins have been identified in the recent years, the distribution of O-mannosyl glycans in the mammalian brain and target proteins are still not well defined. In the present study, rabbit monoclonal antibodies directed against the O-mannosylated peptide YAT(α1-Man)AV were generated. Detailed characterization of clone RKU-1-3-5 revealed that this monoclonal antibody recognizes O-linked mannose also in different peptide and protein contexts. Using this tool, we observed that mono-O-mannosyl glycans occur ubiquitously throughout the murine brain but are especially enriched at inhibitory GABAergic neurons and at the perineural nets. Using a mass spectrometry-based approach, we further identified glycoproteins from the murine brain that bear single O-mannose residues. Among the candidates identified are members of the cadherin and plexin superfamilies and the perineural net protein neurocan. In addition, we identified neurexin 3, a cell adhesion protein involved in synaptic plasticity, and inter-alpha-trypsin inhibitor 5, a protease inhibitor important in stabilizing the extracellular matrix, as new O-mannosylated glycoproteins

High temperature optical absorption investigation into the electronic transitions in sol–gel derived C12A7 thin films

Optical absorption into 6 mm thick sol–gel derived films, annealed at 1300 °C of 12CaO·7Al2O3 calcium aluminate binary compound on MgO〈100〉 single crystal substrates was studied at temperatures ranging from room temperature to 300 °C. Experimental data were analysed in both Tauc and Urbach regions. The optical band gap decreased from 4.088 eV at 25 °C to 4.051 eV at 300 °C, while Urbach energy increased from 0.191 eV at 25 °C to 0.257 eV at 300 °C. The relationship between the optical band gap and the Urbach energy at different temperatures showed an almost linear relationship from which the theoretical values of 4.156 and 0.065 eV were evaluated for the band gap energy and Urbach energy of a 12CaO·7Al2O3 crystal with zero structural disorder at 0 K

Nurses� hemovigilance knowledge and performance after teach-back, concept map, and lecture: A quasi-experimental study

Objectives: This study aimed to compare the effects of teaching by three methods of teach-back, concept map, and lecture on knowledge and performance of nurses in hemovigilance process. Methods: This quasi-experimental study was performed on 108 Iranian nurses. In the lecture group, the educational intervention was conducted during a 4-hour session; and in the concept map and teach-back groups, it was performed in two 2-hour sessions. The nurses� knowledge and performance were measured by �routine blood transfusion knowledge questionnaire (RBTKQ)� and �self-reporting performance-evaluator questionnaire�. Results: After the interventions, knowledge was significantly higher in the teach-back and the concept map groups compared to the lecture group (p = 0.001), but the performance in the lecture group was higher than the other two groups (p = 0.01). No statistically significant differences were found between teach-back and concept map groups. Conclusion: Teach-back and concept map methods were effective in improving the nurses� hemovigilance knowledge, while the lecture was associated with a significant increase in their performance. Therefore, integrating the hemovigilance teaching methods is suggested. © 2021 Blood safety; Hemovigilance, Knowledge; Teaching; Nurses; Work performance. © 202

A new software tool for carbohydrate microarray data storage, processing, presentation, and reporting

Publisher Copyright: © 2022 The Author(s) 2022. Published by Oxford University Press. This project is supported by Wellcome Trust Biomedical Resource grants (WT099197/Z/12/Z, 108430/Z/15/Z and 218304/Z/19/Z); March of Dimes European Prematurity Research Centre grant 22-FY18-82 and NIH Commons Fund 1U01GM125267-01Glycan microarrays are essential tools in glycobiology and are being widely used for assignment of glycan ligands in diverse glycan recognition systems. We have developed a new software, called Carbohydrate microArray Analysis and Reporting Tool (CarbArrayART), to address the need for a distributable application for glycan microarray data management. The main features of CarbArrayART include: (i) Storage of quantified array data from different array layouts with scan data and array-specific metadata, such as lists of arrayed glycans, array geometry, information on glycan-binding samples, and experimental protocols. (ii) Presentation of microarray data as charts, tables, and heatmaps derived from the average fluorescence intensity values that are calculated based on the imaging scan data and array geometry, as well as filtering and sorting functions according to monosaccharide content and glycan sequences. (iii) Data export for reporting in Word, PDF, and Excel formats, together with metadata that are compliant with the guidelines of MIRAGE (Minimum Information Required for A Glycomics Experiment). CarbArrayART is designed for routine use in recording, storage, and management of any slide-based glycan microarray experiment. In conjunction with the MIRAGE guidelines, CarbArrayART addresses issues that are critical for glycobiology, namely, clarity of data for evaluation of reproducibility and validity.publishersversionpublishe

Generation and characterization of β1,2-gluco-oligosaccharide probes fromBrucella abortuscyclic β-glucan and their recognition by C-type lectins of the immune system

The β1,2-glucans produced by bacteria are important in invasion, survival and immunomodulation in infected hosts be they mammals or plants. However, there has been a lack of information on proteins which recognize these molecules. This is partly due to the extremely limited availability of the sequence-defined oligosaccharides and derived probes for use in the study of their interactions. Here we have used the cyclic β1,2-glucan (CβG) of the bacterial pathogen Brucella abortus, after removal of succinyl side chains, to prepare linearized oligosaccharides which were used to generate microarrays. We describe optimized conditions for partial depolymerization of the cyclic glucan by acid hydrolysis and conversion of the β1,2-gluco-oligosaccharides, with degrees of polymerization 2-13, to neoglycolipids for the purpose of generating microarrays. By microarray analyses we show that the C-type lectin receptor DC-SIGNR, like the closely related DC-SIGN we investigated earlier, binds to the β1,2-gluco-oligosaccharides, as does the soluble immune effector serum mannose-binding protein. Exploratory studies with DC-SIGN are suggestive of the recognition also of the intact CβG by this receptor. These findings open the way to unravelling mechanisms of immunomodulation mediated by β1,2-glucans in mammalian systems

The relationship between spiritual well-being and happiness among healthcare students: Application of the spiritual health questionnaire for the Iranian population

Happiness; Iran; Islam; Spirituality; Students; Well-being; Behavioral medicine; Health promotion; Clinical psychology © 2020 Objectives: To investigate the relationship between spiritual well-being (SWB) and happiness in a sample of Iranian healthcare students, considering a culturally-adapted and a context-based measure of SWB. Methods: In this descriptive-correlational study, 343 Muslim students of Qom University of Medical Science are studied from October 2017 to March 2018. Data collection tools were the culturally-adapted spiritual well-being scale (SWBS), the spiritual health questionnaire for the Iranian population (SHQ), and the Persian version of Oxford happiness inventory (OHI). Results: Total scores of SWBS, SHQ, and OHI were in moderate (68.42 ± 12.76), high (193.74 ± 24.26), and moderate (37.95 ± 14.56) levels, respectively. Happiness had a significant positive correlation with all domains of SWBS and SHQ. Moreover, a significant proportion of happiness was determined by SWBS and SHQ. Also, some domains of SWBS and SHQ showed a significant correlation with age, gender, marital status, and academic major. Conclusion: There was a significant correlation between happiness and SWB, measured by SWBS and SHQ. Hence, it seems that both SWBS and SHQ are sufficiently sensitive to assess the relationship between happiness and SWB. © 202

Plant antibodies for human antifungal therapy

There is an increasing interest in the development of therapeutic antibodies (Ab) to improve the control of fungal pathogens, but none of these reagents is available for clinical use. We previously described a murine monoclonal antibody (mAb 2G8) targeting β-glucan, a cell wall polysaccharide common to most pathogenic fungi, which conferred significant protection against Candida albicans, Aspergillus fumigatus and Cryptococcus neoformans in animal models. Transfer of this wide-spectrum, antifungal mAb into the clinical setting would allow the control of most frequent fungal infections in many different categories of patients. To this aim, two chimeric mouse-human Ab derivatives from mAb 2G8, in the format of complete IgG or scFv-Fc, were generated, transiently expressed in Nicotiana benthamiana plants and purified from leaves with high yields (approximately 50 mg Ab/kg of plant tissues). Both recombinant Abs fully retained the β-glucan-binding specificity and the antifungal activities of the cognate murine mAb against C. albicans. In fact, they recognized preferentially β1,3-linked glucan molecules present at the fungal cell surface and directly inhibited the growth of C. albicans and its adhesion to human epithelial cells in vitro. In addition, both the IgG and the scFv-Fc promoted C. albicans killing by isolated, human polymorphonuclear neutrophils in ex vivo assays and conferred significant antifungal protection in animal models of systemic or vulvovaginal C. albicans infection. These recombinant Abs represent valuable molecules for developing novel, plant-derived immunotherapeutics against candidiasis and, possibly, other fungal diseases