Palliative care as the driving force for providing psychological comfort to patients with cancer: A hermeneutic study

Background: Palliative care is an important part of effective cancer care Objectives: The purpose of our study was to explore the lived experiences of nurses providing psychological palliative care for cancer patients in Iran. Methods: A hermeneutic phenomenological study was performed. We interviewed 11 oncology nurses to understand their lived experiences in cancer wards about psychological palliative care. We employed a seven-stage process of data analysis. Results: One constitutive pattern �palliative care as the driving force for providing psychological comfort to patients with cancer� and three associated themes, namely �stress management�, �empathetic behavior�, and �all-embracing outlook�, were identified. Conclusions: The findings present better understanding of the lived experiences of oncology nurses in Iran regarding the phenomena under study. © 2016, Iranian Journal of Cancer Prevention

Promotion and updating of laboratories database for Iran Fisheries Research Organization

Creating a database of affiliated laboratories of the institute is organized with the aim of integrating information related to laboratories of research centers and their subsidiaries. The main objective of conducting this project in this stage is to upgrade it, establish and running one software system based on up-to-date technology of networking. In this way, in addition to organizing the centers database, a periodic report on various aspects can be done which help for implementing appropriate monitoring and management. Generally, the items that are designed and upgraded for this system include: Portal, bank of information, advanced possibilities for inputting data, searching and reporting on laboratory equipment and materials, information about calibration and repair and expiration dates of chemical materials, expertise and capabilities of personnel, providing laboratory services of institutes and research centers, direct order collecting of experiments from inside and outside of the institute, exchanging information, new test methods and sharing of new ideas and professional proposals, organizing laboratory materials, and exchange of expensive chemical materials. The advantages of this system compared to the previous version is that comprehensive, precise and updated reports can be collected easily from the general information of research institutes and centers, reports of the number of lab experts with different educational levels in affiliated centers, awareness of numbers and status of the chemical materials in the laboratories of each center, and the significant and important point is about economizing equipment, chemical materials and on time calibration, in time repairing of equipment and providing laboratories tariff and other matters

Competition and Selection Among Conventions

In many domains, a latent competition among different conventions determines which one will come to dominate. One sees such effects in the success of community jargon, of competing frames in political rhetoric, or of terminology in technical contexts. These effects have become widespread in the online domain, where the data offers the potential to study competition among conventions at a fine-grained level. In analyzing the dynamics of conventions over time, however, even with detailed on-line data, one encounters two significant challenges. First, as conventions evolve, the underlying substance of their meaning tends to change as well; and such substantive changes confound investigations of social effects. Second, the selection of a convention takes place through the complex interactions of individuals within a community, and contention between the users of competing conventions plays a key role in the convention's evolution. Any analysis must take place in the presence of these two issues. In this work we study a setting in which we can cleanly track the competition among conventions. Our analysis is based on the spread of low-level authoring conventions in the eprint arXiv over 24 years: by tracking the spread of macros and other author-defined conventions, we are able to study conventions that vary even as the underlying meaning remains constant. We find that the interaction among co-authors over time plays a crucial role in the selection of them; the distinction between more and less experienced members of the community, and the distinction between conventions with visible versus invisible effects, are both central to the underlying processes. Through our analysis we make predictions at the population level about the ultimate success of different synonymous conventions over time--and at the individual level about the outcome of "fights" between people over convention choices.Comment: To appear in Proceedings of WWW 2017, data at https://github.com/CornellNLP/Macro

Content-Based Quality Estimation for Automatic Subject Indexing of Short Texts under Precision and Recall Constraints

Semantic annotations have to satisfy quality constraints to be useful for digital libraries, which is particularly challenging on large and diverse datasets. Confidence scores of multi-label classification methods typically refer only to the relevance of particular subjects, disregarding indicators of insufficient content representation at the document-level. Therefore, we propose a novel approach that detects documents rather than concepts where quality criteria are met. Our approach uses a deep, multi-layered regression architecture, which comprises a variety of content-based indicators. We evaluated multiple configurations using text collections from law and economics, where the available content is restricted to very short texts. Notably, we demonstrate that the proposed quality estimation technique can determine subsets of the previously unseen data where considerable gains in document-level recall can be achieved, while upholding precision at the same time. Hence, the approach effectively performs a filtering that ensures high data quality standards in operative information retrieval systems.Comment: authors' manuscript, paper submitted to TPDL-2018 conference, 12 page

Understanding the undelaying mechanism of HASubtyping in the level of physic-chemal characteristics of protein

The evolution of the influenza A virus to increase its host range is a major concern worldwide. Molecular mechanisms of increasing host range are largely unknown. Influenza surface proteins play determining roles in reorganization of host-sialic acid receptors and host range. In an attempt to uncover the physic-chemical attributes which govern HA subtyping, we performed a large scale functional analysis of over 7000 sequences of 16 different HA subtypes. Large number (896) of physic-chemical protein characteristics were calculated for each HA sequence. Then, 10 different attribute weighting algorithms were used to find the key characteristics distinguishing HA subtypes. Furthermore, to discover machine leaning models which can predict HA subtypes, various Decision Tree, Support Vector Machine, Naïve Bayes, and Neural Network models were trained on calculated protein characteristics dataset as well as 10 trimmed datasets generated by attribute weighting algorithms. The prediction accuracies of the machine learning methods were evaluated by 10-fold cross validation. The results highlighted the frequency of Gln (selected by 80% of attribute weighting algorithms), percentage/frequency of Tyr, percentage of Cys, and frequencies of Try and Glu (selected by 70% of attribute weighting algorithms) as the key features that are associated with HA subtyping. Random Forest tree induction algorithm and RBF kernel function of SVM (scaled by grid search) showed high accuracy of 98% in clustering and predicting HA subtypes based on protein attributes. Decision tree models were successful in monitoring the short mutation/reassortment paths by which influenza virus can gain the key protein structure of another HA subtype and increase its host range in a short period of time with less energy consumption. Extracting and mining a large number of amino acid attributes of HA subtypes of influenza A virus through supervised algorithms represent a new avenue for understanding and predicting possible future structure of influenza pandemics.Mansour Ebrahimi, Parisa Aghagolzadeh, Narges Shamabadi, Ahmad Tahmasebi, Mohammed Alsharifi, David L. Adelson, Farhid Hemmatzadeh, Esmaeil Ebrahimi

Patient prioritisation of impact items to develop the patient‐reported impact of dermatological diseases ( PRIDD ) measure: European Delphi data

Background: The Global Research on the Impact of Dermatological Diseases (GRIDD) project is developing a patient‐reported measure of the impact of dermatological disease on the patient's life called Patient Reported Impact of Dermatological Diseases (PRIDD). We developed a list of 263 potential impact items through a global qualitative interview study with 68 patients. We next conducted a Delphi study to seek consensus on which of these items to prioritize for inclusion in PRIDD. This study aims to explore patterns in demographic (e.g. country) and clinical variables (e.g. disease group) across the impacts ranked as most important to European dermatology patients. Methods: We conducted a modified, two rounds Delphi study, testing the outcomes from the previous qualitative interview study. Adults (≥18 years) living with a dermatological disease were recruited through the International Alliance of Dermatology Patient Organizations' (GlobalSkin) membership network. The survey consisted of a demographic questionnaire and 263 impact items and was available in six languages. Quantitative data were collected using ranking scales and analysed against a priori consensus criteria. Qualitative data were collected using free‐text responses and a Framework Analysis was conducted. European data were obtained, and descriptive statistics, including multiple subgroup analyses, were performed. Results: Out of 1154 participants, 441 Europeans representing 46 dermatological disease from 25 countries participated. The results produced a list of the top 20 impacts reported by European patients, with psychological impacts accounting for the greatest proportion. Conclusion: This study identified what patients consider to be the most important issues impacting their lives as a result of their dermatological disease. The data support previous evidence that patients experience profound psychological impacts and require psychological support. The findings can inform research, clinical practice and policy by indicating research questions and initiatives that are of most benefit to patients

P8 patient prioritisation of items for the new Patient-Reported Impact of Dermatological Diseases (PRIDD) measure: A delphi study

The Global Research on the Impact of Dermatological Diseases (GRIDD) team is developing the new Patient-Reported Impact of Dermatological Diseases (PRIDD) measure, a patient-reported outcome measure of the impact of dermatological conditions on the patient’s life. We developed a conceptual framework through a qualitative interview study with 68 patients globally to derive impact items. This study aimed to seek consensus from patients on which items to prioritise for inclusion in PRIDD

Correction to: "Comparative repair capacity of knee osteochondral defects using regenerated silk fiber scaffolds and fibrin glue with/without autologous chondrocyes during 36 weeks in rabbit model (Cell and Tissue Research, (2016), 364, 3, (559-572), 10.1007/s00441-015-2355-9)

In this paper, figure 1 and its associated text were erroneously identical to that of another article from our group (Mobini et al., 2016, Journal of Biomaterial Application, SAGE publications). Unfortunately, copyright permission to re-use figure 1 and its related data were not requested. The authors would like to apologize for any confusion caused in this regard. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature

Quantitative assessment of biopllution caused by Mnemiopsis leidyi on ecological community structure in the southern part of the Caspian Sea

After the arrival of the invasive spexies (Mnemiopsis leidyi) in the ecosystem of Caspian Sea in 1999, It had notable impacts. In this study, we,re assessing impacts of quantitative M. leidyi as a biopllutant on zooplankton community in the southern part of the Caspian Sea during 2001-2010 period. It becomes clear that Abundance and Distribution Range (ADR) of M.leidyi during 2001-2009 was in class E(occurrence in high numbers in all localities) and in year 2010 was in class D(occurrence in moderate numbers in all localities). from 2001- 2009, ADR in Summer season was in class E, but in summer 2010, relatinve biomass of M.leidyi has decreased and ADR was evaluated as D. During the fall seasons of 2001 -2010, only in fall of 2003 and 2010, the ADR was C(occurrence in low numbers in all localities) and D respectively and in other years, the ADR was in class E. In winter season relative biomass of M.leidyi decreased and only in winter of 2001 relative biomass was high and the highest ADR (class E). In winter 2003 and 2004, ADR was in class D. The biomass of M.leidyi was found to be zero in winter 2008. From winter of 2009-2010,ADR, were assessed B and A respectively. In the spring, ADR was evaluated A and D. Considering the obtained results, the yesr 2001, which the relative niomass was more than 90 percent, could be considered as the expantion phase and the following years (2002-2010) with regard to decrease of relative biomass as the adjustment phase. With regards to the loss of the keystone species (Eurytemora sP.) and some other native species, our evalution showed that the impact of M.leidyi on structure of zooplankton community was assessed as massive (C4).During summer and fall seasons that biomass of M.leidyi was higher than 50%, only A.tonsa exist, but during spring and winter seasons that biomass of M.leidyi was decreased and more species have a chance to exist