Studying the Effects of Cold Plasma Phosphorus Using Physiological and Digital Image Processing Techniques.

The goal of this study is to see how cold plasma affects rabbit bone tissue infected with osteoporosis. The search is divided into three categories: control, infected, and treated. The rabbits were subjected to cold plasma for five minutes in a room with a microwave plasma voltage of "175 V" and a gas flow of "2." A histopathological photograph of infected bone cells is obtained to demonstrate the influence of plasma on infected bone cells, as well as the extent of destruction and effect of plasma therapy before and after exposure. The findings of the search show that plasma has a clear impact on Ca and vitamin D levels. In the cold plasma, the levels of osteocalcin and alkali phosphates (ALP) respond as well. Image processing techniques (second-order gray level matrix) with textural elements are employed as an extra proof. The outcome gives good treatment indicators, and the image processing result corresponds to the biological result.

Artificial Intelligence Technique of Synthesis and Characterizations for Measurement of Optical Particles in Medical Devices.

The aim of this study is to demonstrate the effect of particle size on semiconductor properties; artificial intelligence is being used for the research methods. As a result, we picked cadmium sulfide (CdS), which is a unique semiconductor material that is employed in a broad variety of current applications. Given that CdS has distinct electrical and optical characteristics, it may be employed in the production of solar cells, for example. Solar cells, as is also well known, have become an essential source of energy in the world. Within the visible range (500-700 nm), we create one layer of bulk CdS and one layer of nano-CdS air bulk CdS air and air nano-CdS air. We used a number of instrumentation methods to investigate the naked CdS nanoparticles, including XRD, SEM-EDX, UV-Vis spectroscopy, TEM, XPS, and PL spectroscopy, among others. The results show that for bulk CdS at normal incidence, the transmittance is T = 45, and for nano-CdS with particle size 3 nm, the transmittance is T = 85.8, with transverse-electric (S-polarized) and transverse-magnetic (P-polarized) transmittances of TE = 75 and TM = 80, respectively.

Investigations into the impact of nursing unit layout on critical care nurses.

BACKGROUND: Nurses' work environment has apparent implications for maximizing their productivity, satisfaction, and improving patient care. OBJECTIVES: This study aimed to explore the influence of three nursing unit spatial layouts on critical care nurses' satisfaction and walking behavior at a university hospital. METHODS: The research used a comparative design by administering a standardized questionnaire, recording walking steps and distances using pedometers, and tracking nurses' walking behavior. Thirty-six critical care nurses working on the morning shift consented to participate in the research. RESULTS: The study results showed a relationship between the spatial layout of intensive care units (ICUs) and nurses' satisfaction and walking behavior. Questionnaire results indicated statistically significant variations in nurses' satisfaction with the location of the nursing station, the arrangement of patients' rooms, the availability of family space, and the unit's auditory privacy. Nurses in ICU1 were more satisfied with the nursing station's placement and the availability of family space inside patient rooms, while nurses in ICU2 were more satisfied with the patient bed arrangement and the unit's aural privacy than nurses in other units. The pedometer readings and movement maps revealed significant differences in nurses' walking patterns across the three ICUs. The steps, distances, and movement diagrams demonstrated that ICU1 with private rooms outperformed the other units owing to the nurse station's placement and accessibility to patients and support rooms. CONCLUSION: This study concludes that the ICU design impacts nurses' satisfaction and behavior. The optimum placement of nursing stations, patients' beds, and supporting room reduces walking distance and thus increases nurses' satisfaction and performance.

A Study of Workspace Design Characteristics Exemplified by Nurses' Satisfaction Within Three Intensive Care Units in a University Hospital.

BACKGROUND: The critical conditions of intensive care patients require providing them with a higher acuity of care. Thus, it is essential to focus on critical care nurses and improve their work environment in a way that maximizes productivity, collaboration, satisfaction, and leads to improved patient care. PURPOSE: This study aims to explore the role the workplace layout design play in determining nurses' satisfaction in three intensive care units (ICUs) at a university hospital. METHOD: A prospective, cross-sectional, single-center, survey-based design was employed in this study. Data were obtained, via a standardized questionnaire, from 36 morning shift nurses. The nurses' self-reported satisfaction scores in three different ICUs with differing overall layouts, nursing station locations, and workplace design were statistically compared. RESULTS: The study found that ICU 1 (private rooms, single corridor, central nursing station, close to supported services) had higher nursing satisfaction levels than ICUs 2 and 3 (open wards with separate service zones), F(2,34) = 5.054, p = .012. However, overall satisfaction was higher with the ICU 2 primary workspace design, possibly due to the perceived acoustic privacy in this configuration, F(2,34)= 4.492, p = .019. The ability of the ICU layout design to enhance teamwork and minimize traffic in patients care areas was found to be an important predictor of nurses' satisfaction. The primary workspace design capacity to minimize congestion and the presence of large numbers of providers in a confined workplace might account for variation in nurses' satisfaction. CONCLUSION: Physical environment variables in the ICU design may contribute to staff workplace satisfaction scores and may help in guiding informed choices regarding the future ICU design.

Nurses Knowledge, Attitude, and Practices Toward Pain Assessment and Management of Patients Unable to Communicate Verbally.

Critically ill patients usually experience a significant level of pain during rest or during routine care such as turning, wound care, and endotracheal suctioning. Pain assessment is the cornerstone of pain management. Adequate pain assessment and management are major responsibilities of critical care nurses. The purpose of this study was to evaluate the nurses' knowledge, attitudes, and practices toward pain assessment and management of the intensive care unit (ICU) patients who are unable to communicate verbally. A descriptive cross-sectional design was used in this study. The study was conducted at ICUs in 5 hospitals from the north, middle, and south areas of Jordan. A self-administered questionnaire developed by Rose was used in this study. The most important finding in this study was that a large number of ICU nurses do not use assessment tools to evaluate the level of pain in patients who are unable to communicate verbally. Moreover, the nurses have inadequate knowledge about pain assessment and management. As perceived by the nurses, "restlessness" was the highest rated routine indicator of pain (25.1%), followed by "not following commands" (24%). Half of the participants (50%) answered that nurses were the persons who provide the most accurate rating of pain intensity. However, the participants showed positive attitude toward pain assessment and management.

Factors influencing sleep quality among Jordanian intensive care patients.

Sleep disturbance is common in patients in the intensive care unit (ICU). Numerous factors can contribute to this. High noise and light levels, nursing interventions and medication administration are major factors. This study investigated the demographic and environmental factors that might adversely affect ICU patients' quality of sleep. Data were collected from 103 patients using a demographic data sheet, the Freedman Quality of Sleep Scale and the Richards-Campbell Sleep Scale. Patients' demographic characteristics were found to have no significant effects on their perceived quality of sleep. Environmental factors, including noise, light, nursing interventions, diagnostic testing, the administration of medication, talking and phones ringing, were significantly related to the patients' perceived quality of sleep.