67 research outputs found
Nursing Care Aesthetic in Iran: A Phenomenological Study
Background: Despite the emphasis of contemporary nursing theories on the belief that nursing is a science and an art in care, published studies show that only the nursing science has developed. Many experts believe that by recognizing and perceiving this concept, the clinical field can develop aesthetic knowledge in nursing and education of students.
Objectives: The purpose of this study was to explain clients and nurses perspective of nursing care aesthetics.
Patients and Methods: Using an interpretive phenomenology, 12 clients and 14 nurses were interviewed. Participants in this study were purposefully selected and their experiences were analyzed using Van Manen’s hermeneutic phenomenological framework.
Results: Emerged themes were as follows: subjective description, overt spirituality, opening desperate impasse, sense of unity, continue to shine, and painful pass and pleasing. According the participants experiences, nursing care aesthetics includes subjective description of spiritual and desirable caring behaviors combined with sense of unity and sympathy between the nurse and the patients, which leads to opening in desperate impasse with creating the feeling of satisfaction and peace in the patient. It is a shining of clinical capabilities and an action beyond what should be combined with a decorating care that leads to a pleasant ending against the pain and suffering of the others for the nurse.
Conclusions: Many caring behaviors associate with aesthetic experience for both patients and nurses and despite two different views, findings of this study showed that these experiences were similar in most cases. The aesthetics of nursing care was defined as what reflects the holistic nature of nursing with an emphasis on spirituality and skill. Results of this study are effective in identification of the values existed in nurse caring behaviors and developing of profession by instruction, implementation, and evaluation them
Comparison of analgesic effect of pregabalin-fentanyl and midazolam-fentanyl combinations on the severity of pain in the patients undergoing extracorporeal shock wave lithotripsy: a double-blind clinical trial
Background and Objective: Kidney stone disease goes back to thousands of years ago. Extracorporeal Shock Wave Lithotripsy (ESWL) is currently the first line treatment for this disease. Different analgesics were already used to relieve pain in the patients but they still complain about their pain. Therefore, the effect of two combinations of pregabalin-fentanyl and midazolam-fentanyl was investigated in controlling pain in the patients undergoing ESWL in this study.Materials and Methods: This was double-blind clinical trial on 141 patients visiting Lithotripsy Unit in Peymaniyeh Hospital in Jahrom Town. The participants were selected using a simple sampling method. Inclusion criterion was 8mm < kidney stone < 20mm. Exclusion criteria were 20 kg/m2 < body mass index (BMI) < 30 kg/m2, a history of mental disorders, namely addiction to analgesics and opiates. Finally, the patients were randomly assigned to two groups. One microgram per kilogram fentanyl was administered intravenously and 300mg pregabalin was given orally to the patients ten minutes before surgery in the first group (pregabalin-fentanyl and n = 47). One microgram per kilogram fentanyl and one microgram per kilogram midazolam were injected intravenously to the patients ten minutes prior to operation in the second group (fentanyl-midazolam and n = 46). Then, standard shock wave lithotripsy was carried out in both groups. The severity of pain was measured every 20 minutes during the operation and two hours after the operation using the Visual Analog Scale for Pain (VAS Pain). The collected data was analyzed using SPSS version 21. Descriptive statistics (mean, standard deviation and percent) and analytical statistical tests (Mann-Whitney and Chi-square) were used to analyze the data.Results: The mean age of participants was 43.80±13.71 in the first group (pregabalin + fentanyl) and 39.0±11.19 in the second group (midazolam + fentanyl). Chi-square test results were matched in both groups in terms of age, gender, number of shocks and size of the stone. The Mann-Whitney test results showed a significant difference between the first and second groups in terms of pain score from the first 20 minutes up to 2 hours after drug administration (p-value<0.05). The results also showed that the number of patients experiencing higher than average severity of pain in the second group was significantly less than the first group (pvalue< 0.05).Conclusion: The results of this study showed that the number of patients experiencing higher than average severity of pain in the group receiving midazolam-fentanyl combination was less than the group receiving pregabalin-fentanyl combination. Therefore, it can be deduced that fentanyl in combination with midazolam has a greater analgesic effect on pain relief in the patients undergoing ESWL.Keywords: pregabalin-fentanyl, midazolam-fentanyl, pain, extracorporeal shockwave lithotrips
Combining business process and failure modelling to increase yield in electronics manufacturing
The prediction and capturing of defects in low-volume assembly of electronics is
a technical challenge that is a prerequisite for design for manufacturing (DfM) and business
process improvement (BPI) to increase first-time yields and reduce production costs. Failures
at the component-level (component defects) and system-level (such as defects in design and
manufacturing) have not been incorporated in combined prediction models. BPI efforts should
have predictive capability while supporting flexible production and changes in business models.
This research was aimed at the integration of enterprise modelling (EM) and failure models (FM)
to support business decision making by predicting system-level defects. An enhanced business
modelling approach which provides a set of accessible failure models at a given business process
level is presented in this article. This model-driven approach allows the evaluation of product
and process performance and hence feedback to design and manufacturing activities hence
improving first-time yield and product quality. A case in low-volume, high-complexity electronics
assembly industry shows how the approach leverages standard modelling techniques
and facilitates the understanding of the causes of poor manufacturing performance using a
set of surface mount technology (SMT) process failure models. A prototype application tool
was developed and tested in a collaborator site to evaluate the integration of business process
models with the execution entities, such as software tools, business database, and simulation
engines. The proposed concept was tested for the defect data collection and prediction in the
described case study
Integration issues in the development of a modelling and simulation tool for low volume high-complexity electronics manufacture
In order to design and implement the information
systems and modules that could comprise an “industrial
strong” knowledge-based tool, links to shop floor systems
containing real-time production data and PCA customer
information (e.g. bill of materials (BOM), CAD
drawings) are required. Details of the issues of
implementing the tool in an industrial organisation and
the integration of various data sources (e.g. “in-house”
developed systems, enterprise resource planning systems,
ad-hoc developed databases, machine data and CAD data)
are presented in this paper. The application of the
CLOVES system in an industrial setup highlights the
difficulties in integrating information from design as
CAD data and shows how these setbacks could be
overcome if the electronics industry were to adopt a
common CAD assembly information exchange platform.
Hence, this paper concludes that existing automation tool
manufacturers should focus exclusively on developing
generic connections by adopting industry standards that
can facilitate the deployment of “plug and play” tools.
This standardisation could in turn help software
developers, to provide the electronics industry with more
integrated systems that communicate better among
loosely coupled information systems and avoid depending
on extensive time consuming manual data input
One common polymorphism of cholesteryl ester transfer protein gene in Iranian subjects with and without primary hypertriglyceridemia
Primary hypertriglyceridemia is considered to be a major risk factor for pancreatitis, atherosclerosis and coronary heart disease. Cholesteryl ester transfer protein gene polymorphisms known to be associated with changes in lipid levels. This study was performed by using polymerase chain reaction and restriction fragment length polymorphisms. Genotype distribution and allelic frequencies of polymorphism were determined and compared in primary hypertriglyceridemic and normotriglyceridemic subjects. The results showed that plasma cholesteryl ester transfer protein activity was significantly higher in primary hypertriglyceridemia than in controls (p = 0.001). In this study all individuals with B2B2 genotype had lower plasma cholesteryl ester transfer protein activity, higher high-density lipoprotein than B1B1 and B1B2 genotypes, whereas triglyceride was significantly decreased in this genotype. The genotype and allelic frequencies for this polymorphism differed significantly between primary hypertriglyceridemic patients and controls (p = 0.014 and p = 0.027, respectively). In both groups, CETP Taq 1B polymorphism (presence of B 2 allele) correlated significantly with HDL-C (r = 0.207 and 0.300 in control and patient groups, respectively) and CETP activity (r = -0.193 for controls and r = -0.132 for patients). Taq 1B polymorphism of cholesteryl ester transfer protein gene was associated with changes in lipids profile and plasma cholesteryl ester transfer protein activity in the selected population. © 2007 Asian Network for Scientific Information
Sources of Sleep Disturbances and Psychological Strain for Hospital Staff Working during the COVID-19 Pandemic
Hospital staff members reported increased stress-related workload when caring for inpatients with COVID-19 (“frontline hospital staff members”). Here, we tested if depression, anxiety, and stress were associated with poor sleep and lower general health, and if social support mediated these associations. Furthermore, we compared current insomnia scores and general health scores with normative data. A total of 321 full-time frontline hospital staff members (mean age: 36.86; 58% females) took part in the study during the COVID-19 pandemic. They completed a series of questionnaires covering demographic and work-related information, symptoms of depression, anxiety, stress, social support, self-efficacy, and symptoms of insomnia and general health. Higher symptoms of depression, anxiety, and stress were associated with higher symptoms of insomnia and lower general health. Higher scores of depression, anxiety, and stress directly predicted higher insomnia scores and lower general health scores, while the indirect effect of social support was modest. Compared to normative data, full-time frontline hospital staff members had a 3.14 higher chance to complain about insomnia and a significantly lower general health. Symptoms of insomnia and general health were unrelated to age, job experience, educational level, and gender. Given this background, it appears that the working context had a lower impact on individuals’ well-being compared to individual characteristics
A simulation module for supporting the manufacture of high value added electronics manufacturing
Given the global pressures and demanding
requirements for high value added electronics
manufacturing, it is vital to make the right decisions on
the shop floor. One of the main shop floor level decisions
in the domain is the selection of the most appropriate
scheduling strategy for the available manufacturing
system. Simulation has proved to be a powerful decision
support tool. However, very few studies have used this
potential to support the evaluation of scheduling
strategies in a manufacturing context. A component-based
simulation tool to evaluate the performance of scheduling
strategies on a particular system is presented in this paper.
The component based structure of the simulation tool
allows the main problem requirements to be addressed.
An example, based on a real company, illustrates the
nature of the simulation results and the kind of support
that can be obtaine
Characterization of printed solder paste excess and bridge related defects
Surface Mount Technology (SMT) involves the
printing of solder paste on to printed circuit board (PCB)
interconnection pads prior to component placement and
reflow soldering. This paper focuses on the solder paste
deposition process. With an approximated cause ratio of
50 – 70% of post assembly defects, solder paste
deposition represents the most significant cause initiator
of the three sub-processes. Paradigmatic cause models,
and associated design rules and effects data are
extrapolated from academic and industrial literature and
formulated into physical models that identify and
integrate the process into three discrete solder paste
deposition events - i.e. (i) stencil / PCB alignment, (ii)
print stroke / aperture filling and (iii) stencil separation /
paste transfer. The project’s industrial partners are
producers of safety-critical products and have recognised
the in-service reliability benefits of electro-mechanical
interface elimination when multiple smaller circuit
designs are assimilated into one larger Printed Circuit
Assembly (PCA). However, increased solder paste
deposition related defect rates have been reported with
larger PCAs and therefore, print process physical models
need to account for size related phenomena
Integration approach to virtual-driven discrete event simulation for manufacturing systems
This is an Accepted Manuscript of an article published by Taylor & Francis in 'International Journal of Computer Integrated Manufacturing' on 11/06/2014, available online: https://doi.org/10.1080/0951192X.2014.924159.Virtual engineering (VE) environment helps to verify process and resource design through visualisation. By using VE, the impacts of re-configurability and new-process additions in the machine stops can be viewed down to the component level. On the other hand, discrete event simulation (DES) typically forecasts the system behaviour over a period of time to predict future performance. During pre-build stages of machines, DES analysis comes with uncertainties, as most of the parameters in the model are based on the assumptions. Therefore, it was aimed to use the validated and verified data, for example ‘process time’ of a machine component available from the VE-emulated systems, in the DES model. Thus, a systematic algorithm was proposed to integrate the VE tool data, with the DES. This article presents the development of a package known as ‘virtual-driven discrete event simulation’ (VDSim), used to establish an integration between the VE and DES domains. The success of this integration depends upon the quality of information and the compatibility of data flow between these independent domains. VDSim integration will help productivity planners and schedulers to get the best possible options for resource selection at stages even when the resource is not physically present
Vitamin B12 bioaccumulation in Chlorella vulgaris grown on food waste-derived anaerobic digestate
Anaerobic digestion plays a pivotal role in the modern circular economy, as it offers a sustainable solution for converting organic waste into biogas (methane). It also results in a nutrient-rich liquid stream, referred to as digestate. This digestate is extensively applied to agricultural land as fertilizer due to its high macronutrient (N, P) content, but the bioactive micronutrients it contains and their significance for downstream applications remain largely unknown. Here, we investigate whether digestate generated from a vitamin B12-deficient substrate (fruit and vegetable waste) can be enriched in this vitamin through anaerobic digestion, and explore the capability of the microalga Chlorella vulgaris to grow in this medium and bioaccumulate B12. Our findings uncover, for the first time, that substantial amounts of B12 are synthesized during anaerobic digestion, and that C. vulgaris can effectively be enriched with this vitamin when grown in the digestate (10.6 μg Β12·g−1 dry weight). Additionally, we identified that pH-induced ammonia toxicity was the main inhibitor when growing microalgae in the digestate, which allowed us to significantly enhance productivity at lab- and pilot-scale through pH control. The case of B12 synthesis in digestate and accumulation in microalgae highlights the potential for enhancing the value of these waste streams through the identification and utilization of bioactive compounds
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