Correlated Microscale Isotope and Scanning Transmission X-Ray Analyses of Isotopically Anomalous Organic Matter from the CR2 Chondrite EET 92042

We discuss correlated examinations of organic matter from the CR2 chondrite EET 92042, using SIMS, STXM and other methods. We found a large, isotopically highly anomalous region of probable presolar origin that is C- and 13C-poor and 15N-rich

Correlated analyses of D- and 15N-rich carbon grains from CR2 chondrite EET 92042

Extract from introduction: Insoluble organic matter (IOM) and matrix from primitive carbonaceous chondrites carry isotope enrichments (?D?20000', ?15N?3200�) that are comparable to those in interplanetary dust particles [1, this work]. Hence, primitive organics that formed in the protosolar cloud (PSC) – or maybe in the cold outer regions of the protoplanetary disk – survived accretion and planetary processing on the asteroids, the parent bodies of the chondrites

Immunohistochemical analysis of adhesive papillae of Clavelina lepadiformis (Müller, 1776) and Clavelina phlegraea (Salfi, 1929) (Tunicata, Ascidiacea)

Almost all ascidian larvae bear three mucus secreting and sensory organs, the adhesive papillae, at the anterior end of the trunk, which play an important role during the settlement phase. The morphology and the cellular composition of these organs varies greatly in the different species. The larvae of the Clavelina genus bear simple bulbous papillae, which are considered to have only a secretory function. We analysed the adhesive papillae of two species belonging to this genus, C. lepadiformis and C. phlegraea, by histological sections and by immunolocalisation of β-tubulin and serotonin, in order to better clarify the cellular composition of these organs. We demonstrated that they contain at least two types of neurons: central neurons, bearing microvilli, and peripheral ciliated neurons. Peripheral neurons of C. lepadiformis contain serotonin. We suggest that these two neurons play different roles during settlement: the central ones may be chemo- or mechanoreceptors that sense the substratum, and the peripheral ones may be involved in the mechanism that triggers metamorphosis

An Analysis of Students' Writing Skill Taught by Project-Based Learning Model at the Tenth Grade of SMK Negeri 1 Dharma Caraka Gunungsitoli Selatan in 2022/2023

The researcher conducted a study entitled An Analysis of Students' Writing Skill Taught by Project-Based Learning Model at the Tenth Grade of SMK Negeri 1 Dharma Caraka Gunungsitoli Selatan in 2022/2023, with the aim to find and describe students' writing skill and the problems faced by students in writing taught by project-based learning model at the Tenth Grade of SMK Negeri 1 Dharma Caraka Gunungsitoli Selatan in 2022/2023. This research had conducted using descriptive qualitative research method. The data was collected and analyzed using the Miles and Huberman (1984) data analysis model. The results of the study showed that there were 12% or 4 students got the excellent category, there were 58% or 19 students got the good category, there were 15% or 5 students got the average category, there were 15% or 5 students got the fair category. Meanwhile, the average writing skill of students of class X Askep 2 SMK Negeri 1 Dharma Caraka Gunungsitoli Selatan who were taught using a project-based learning model were good with an average of 65.27, which meant that students had written descriptive text according to the form but still incomplete, less organized but the main idea is already visible, the choice of words and expressions is sometimes less precise but does not interfere with the meaning, and there are some mistakes in spelling but the meaning is not blurred. Meanwhile, the problems that students often encountered when writing English texts were cognitive problems consisting of generic structure, grammar, and spelling problems

Impact of a nursing information system in clinical practice: a longitudinal study project

Background: The implementation of adequate clinical information systems helps to deal with the immense flow of health data to ensure the continuity of care and access to a safe and high-quality healthcare system. Currently there is an increasing awareness of the importance of evaluating and measuring the impact of such systems in clinical practice. Implementations often fail, due to inadequate interaction between technology and human elements. Methods: This article describes a research project aimed at evaluating the impact of a clinical nursing information system (CNIS), called Professional Assessment Instrument (PAI), in clinical practice. The study will evaluate PAI Quality, Nurses Satisfaction, PAI Use, Nurses and Environment Characteristics, Net Benefits and Nurses’ Experiences related to the PAI use. A theoretical model developed for this research will guide the study. A quali-quantitative longitudinal design will be performed involving two hospitals over a 9-month period. To measure different dimensions that affect the success/failure of CNIS we will use different tools/ methods of data collection (questionnaires, psychometric tools, surveys and focus groups). Expected Results: This study will evaluate the impact of a CNIS in hospitals providing an overview of the factors which can help and hinder the implementation of an information system. Conclusions: The results of the study will support interventions to improve and implement clinical information systems designed to computerize nursing data, with positive effects on public health and research in general, providing further evidence for health policy

Secondary ion mass spectrometry and x-ray absorption near-edge structure spectroscopy of isotopically anomalous organic matter from CR1 chondrites GRO 95577

We located interstellar organics from a CR1 chondrite with NanoSIMS and analyzed FIB-extracted sections with XANES. D-rich material appears not associated with a functional group, whereas 15N-rich matter shows some affinity to nitrile functionality

Osservazioni sull'Insegnamento dell'analisi matematica con le moderne tecnologie. Esperienze in classe

Abstract

Osservazioni sull'Insegnamento dell'analisi matematica con le moderne tecnologie. Esperienze in classe

Abstract

Development and Validation of a Computerized Assessment Form to Support Nursing Diagnosis

PURPOSE: Describe the development and validation of the Nursing Assessment Form (NAF), within a clinical nursing information system, to support nurses in the identification of nursing diagnoses. METHODS: Content validity and consensus on NAF contents were established using a panel of experts in nursing diagnosis and Delphi rounds. FINDINGS: Expert consensus was achieved to validate an instrument to support nurses in the process of nursing diagnoses identification. CONCLUSIONS: The use of the NAF can help nurses in diagnostic reasoning, facilitating the identification of the more suitable nursing diagnoses, and provide a basis for the best nursing interventions and outcomes. IMPLICATIONS FOR NURSING PRACTICE: The use of computerized decision support can improve the implementation of standardized terminology and the accuracy of nursing diagnosis

Prevalence of nursing diagnoses as a measure of nursing complexity in a hospital setting

Aims: To describe the prevalence of nursing diagnoses on admission among inpatient units and medical diagnoses and to analyse the relationship of nursing diagnoses to patient characteristics and hospital outcomes. Background: Nursing diagnoses classify patients according to nursing dependency and can be a measure of nursing complexity. Knowledge regarding the prevalence of nursing diagnoses on admission and their relationship with hospital outcomes is lacking. Design: Prospective observational study. Methods: Data were collected for 6 months in 2014 in four inpatient units of an Italian hospital using a nursing information system and the hospital discharge register. Nursing diagnoses with prevalence higher or equal to 20% were considered as \u2018high frequency.\u2019 Nursing diagnoses with statistically significant relationships with either higher mortality or length of stay were considered as \u2018high risk.\u2019 The high-frequency/high-risk category of nursing diagnoses was identified. Results: The sample included 2283 patients. A mean of 4\ub75 nursing diagnoses per patient was identified; this number showed a statistically significant difference among inpatient units and medical diagnoses. Six nursing diagnoses were classified as high frequency/high risk. Nursing diagnoses were not correlated with patient gender and age. A statistically significant perfect linear association (Spearman's correlation coefficient) was observed between the number of nursing diagnoses and both the length of stay and the mortality rate. Conclusion: Nursing complexity, as described by nursing diagnoses, was shown to be associated with length of stay and mortality. These results should be confirmed after considering other variables through multivariate analyses. The concept of high-frequency/high-risk nursing diagnoses should be expanded in further studies