Evaluating the usability of a cancer registry system using Cognitive Walkthrough, and assessing user agreement with its problems.

OBJECTIVE/AIM: Good design of cancer registry systems makes them easy to use, while poor design of their user interfaces leads to user dissatisfaction and resistance. The objective of this study was to evaluate the usability of a cancer registry system using Cognitive Walkthrough (CW) and to assess users' agreement with its usability problems. METHODS: CW was used to evaluate the registry system. We developed a checklist to help evaluators speed up the evaluation process, a problems form to collect the usability issues identified by the evaluators, and a problems severity form to determine the severity of problems by the evaluators. The problems were classified into two categories according to the CW questions and the system tasks. The agreement of the users with the system problems was examined by an online questionnaire. Users' agreement with the problems was then analyzed using the Interclass Correlation Coefficient in the SPSS 22 (Statistical Package for Social Science). RESULTS: In this study, 114 problems were identified. In the categorization of problems based on the CW questions, 41% (n = 47) of the problems concerned the issue of "users do not know what to do at each stage of working with the system", 24% (n = 27) were classified as "users cannot link what they intend to do with system controls", and 22% (n = 25) were related to "user's lack of understanding of the system processes". Based on user tasks, about 36% (n = 41) of the problems were related to "removing patient duplication" and 33% (n = 38) were related to "registration of patient identification information". User agreement with the problems was high (CI 95% = 0.9 (0.96, 0.98)). CONCLUSION: System problems often originate from user ignorance about what to do at each stage of using the system. Also, half of the system problems concern a mismatch between what users want to do and the system controls, or a lack of understanding about what the system does at different stages. Therefore, to avoid user confusion, designers should use clues and guides on the screen for users, design controls consistent with the user model of thinking, and provide appropriate feedback after each user action to help users understand what the system is doing. The high agreement of users with the problems showed that in the absence of users system designers can use CW to identify the problems that users face in the real environment.

Design of an all-optical insulator-metal-insulator and metal-insulator-metal Feynman logic gates.

In this paper, two Feynman logic gates based on insulator-metal-insulator (IMI) and metal-insulator-metal (MIM) waveguides are proposed. The gates are modeled using the finite-difference time-domain method. The IMI-based Feynman gate shows high extinction ratio (ER) values of 11.06 dB and 7.61 dB for the output bits P and Q, respectively. The ER values of the MIM-based Feynman gate are also 12.83 dB and 7.29 dB for the output bits P and Q, respectively. The footprint of the gates is less than 2µm2. The proposed gates benefit from high ERs in the wavelength range of 1.5-1.6 µm (band C), ultra-compact footprints, and CMOS-compatible structures, which make them potential candidates for use in integrated photonic circuits.

Effect of educational intervention on improving nurse's general health in military hospitals of Iran: a quasi-experimental study.

BACKGROUND: Nursing in military hospitals affects their general health. Educational interventions can help to maintain the general health of nurses. This study aimed to evaluate the effect of an educational intervention to improve the general health of nurses in military hospitals. METHODS: In this quasi-experimental study, 146 nurses working in military hospitals in Tehran, Iran in 2021 were included in the study. The one-month educational intervention included videos, pamphlets, and motivational messages about promoting general health. General health questionnaire with 28 items (GHQ28) was study tool. The allocation of nurses to groups was not random, it was based on personal interest. Frequency (percentage), and mean (standard deviation) were used to describe, and the chi-square test, Fisher's exact test, independent and paired t-test were used for data analysis. All analyzes were performed in SPSS 24 software with a significance level of 5%. RESULTS: A total of 146 nurses participated in the study, most of them were in the age group of 30 to 40 years (64 people, 43.8%), and 76.7% (112 people) of them were women. The results of the independent sample t-test showed after the intervention, general health scores in the intervention group had a significant decrease compared to the control (p < 0.001) (change in intervention group = -31.1, V.S change in control = 0.55). The results of paired t-test showed that only in the intervention group, the value of the general health score and its dimensions were significantly different (p < 0.001). CONCLUSIONS: The educational intervention performed well and decreased the score of the general health of military nurses. Given that these positive effects may be temporary, it is necessary to design and perform educational interventions over a longer period.

PERSIANN-CCS-CDR, a 3-hourly 0.04° global precipitation climate data record for heavy precipitation studies.

Accurate long-term global precipitation estimates, especially for heavy precipitation rates, at fine spatial and temporal resolutions is vital for a wide variety of climatological studies. Most of the available operational precipitation estimation datasets provide either high spatial resolution with short-term duration estimates or lower spatial resolution with long-term duration estimates. Furthermore, previous research has stressed that most of the available satellite-based precipitation products show poor performance for capturing extreme events at high temporal resolution. Therefore, there is a need for a precipitation product that reliably detects heavy precipitation rates with fine spatiotemporal resolution and a longer period of record. Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System-Climate Data Record (PERSIANN-CCS-CDR) is designed to address these limitations. This dataset provides precipitation estimates at 0.04° spatial and 3-hourly temporal resolutions from 1983 to present over the global domain of 60°S to 60°N. Evaluations of PERSIANN-CCS-CDR and PERSIANN-CDR against gauge and radar observations show the better performance of PERSIANN-CCS-CDR in representing the spatiotemporal resolution, magnitude, and spatial distribution patterns of precipitation, especially for extreme events.

PERSIANN Dynamic Infrared-Rain Rate (PDIR-Now): A Near-Real-Time, Quasi-Global Satellite Precipitation Dataset.

This study presents the Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks-Dynamic Infrared Rain Rate (PDIR-Now) near-real-time precipitation dataset. This dataset provides hourly, quasi-global, infrared-based precipitation estimates at 0.04° × 0.04° spatial resolution with a short latency (15-60 min). It is intended to supersede the PERSIANN-Cloud Classification System (PERSIANN-CCS) dataset previously produced as the near-real-time product of the PERSIANN family. We first provide a brief description of the algorithm's fundamentals and the input data used for deriving precipitation estimates. Second, we provide an extensive evaluation of the PDIR-Now dataset over annual, monthly, daily, and subdaily scales. Last, the article presents information on the dissemination of the dataset through the Center for Hydrometeorology and Remote Sensing (CHRS) web-based interfaces. The evaluation, conducted over the period 2017-18, demonstrates the utility of PDIR-Now and its improvement over PERSIANN-CCS at all temporal scales. Specifically, PDIR-Now improves the estimation of rain/no-rain days as demonstrated by a critical success index (CSI) of 0.53 compared to 0.47 of PERSIANN-CCS. In addition, PDIR-Now improves the estimation of seasonal and diurnal cycles of precipitation as well as regional precipitation patterns erroneously estimated by PERSIANN-CCS. Finally, an evaluation is carried out to examine the performance of PDIR-Now in capturing two extreme events, Hurricane Harvey and a cluster of summer thunderstorms that occurred over the Netherlands, where it is shown that PDIR-Now adequately represents spatial precipitation patterns as well as subdaily precipitation rates with a correlation coefficient (CORR) of 0.64 for Hurricane Harvey and 0.76 for the Netherlands thunderstorms.

Acceptability of picture archiving and communication system (PACS) among hospital healthcare personnel based on a unified theory of acceptance and use of technology.

BACKGROUND AND AIM: The picture archiving and communication system (PACS) is a healthcare system technology which manages medical images and integrates equipment through a network. There are some theories about the use and acceptance of technology by people to describe the behavior and attitudes of end users towards information technologies. We investigated the influential factors on users' acceptance of PACS in the military hospitals of Tehran. METHODS: In this applied analytical and cross-sectional study, 151 healthcare employees of military hospitals who had experience in using the PACS system were investigated. Participants were selected by census. The following variables were considered: performance expectancy, efforts expectancy, social influence, facilitating conditions and behavioral intention. Data were gathered using a questionnaire. Its validity and reliability were approved by a panel of experts and was piloted with 30 hospital healthcare staff (Cronbach's alpha =0.91). Spearman correlation coefficient and multiple linear regression analysis were used in analyzing the data. RESULTS: Expected performance, efforts expectancy, social impact and facilitating conditions had a significant relationship with behavioral intention. The multiple regression analysis indicated that only performance expectancy can predict the user's behavioral intentions to use PACS technology. CONCLUSION: Performance and effort expectancies are quite influential in accepting the use of PACS in hospitals. All healthcare personnel should become aware that using such technology is necessary in a hospital. Knowing the influencing factors that affect the acceptance of using new technology can help in improving its use, especially in a healthcare system. This can improve the offered healthcare services' quality.

Grating-based X-ray phase-contrast tomography of atherosclerotic plaque at high photon energies.

BACKGROUND: Tissue characterization of atherosclerosis by absorption-based imaging methods is limited due to low soft-tissue contrast. Grating-based phase-contrast computed tomography (PC-CT) may become an alternative for plaque assessment if the phase signal can be retrieved at clinically applicable photon energies. The aims of this feasibility study were (i) to characterize arterial vessels at low and high photon energies, (ii) to extract qualitative features and (iii) quantitative phase-contrast Hounsfield units (HU-phase) of plaque components at 53 keV using histopathology as gold standard. MATERIALS AND METHODS: Five human carotid artery specimens underwent grating-based PC-CT using synchrotron radiation of either 23 keV or 53 keV and histological work-up. Specimens without advanced atherosclerosis were used to extract signal criteria of vessel layers. Diseased specimens were screened for important plaque components including fibrous tissue (FT), lipid (LIP), necrotic core (NEC), intraplaque hemorrhage (IPH), inflammatory cell infiltration (INF) and calcifications (CA). Qualitative features as well as quantitative HU-phase were analyzed. RESULTS: Thirty-three regions in 6 corresponding PC-CT scans and histology sections were identified. Healthy samples had the same signal characteristics at 23 keV and 53 keV with bright tunica intima and adventitia and dark media. Plaque components showed differences in signal intensity and texture at 53 keV. Quantitative analysis demonstrated the highest HU-phase of soft plaque in dense FT. Less organized LIP, NEC and INF were associated with lower HU-phase values. The highest HU-phase were measured in CA. CONCLUSION: PC-CT of atherosclerosis is feasible at high, clinically relevant photon energies and provides detailed information about plaque structure including features of high risk vulnerable plaques.

AML M1 presenting with recurrent acute large arterial vessel thromboembolism.

Acute leukemia may be associated with coagulopathy, predominantly severe bleeding diathesis caused by disseminated intravascular coagulation (DIC) and/or hyperfibrinolysis. Disordered hemostasis is characteristic for acute promyelocytic leukemia (APL, FAB M3). However, thromboembolic events such as arterial occlusion localized to the large vessels at presentation is very rare and almost exclusively linked to APL. We report a case of severe recurrent acute arterial thromboembolism at presentation in AML FAB M1. Most likely, the ischemic events in our patient resulted from leukemia as the thrombus material included many leukemic blasts. The thrombotic complications resulted in leg amputation in this patient. Despite leg amputation just a couple of hours before and extremely high infectious risk of the patient, chemotherapy was administered. The clinical course of cessation of the ischemic events and a fast reduction of the blasts in the peripheral blood smear after chemotherapeutic treatment of the patient outlines the importance and life saving role of early chemotherapy even under adverse circumstances.