Ultrafast Sintered Composite Cathode Incorporating a Negative Thermal Expansion Material for High-Performance Protonic Ceramic Fuel Cells.

Protonic ceramic fuel cells (PCFCs) offer a promising, clean, and efficient energy conversion solution. However, thermal mismatch between cathodes and electrolytes remains a critical obstacle, leading to interfacial damage such as cracking and delamination. Incorporating negative thermal expansion (NTE) materials into the cathode can mitigate this issue. The challenge lies in integrating NTE materials without compromising electrochemical performance or causing unwanted reactions during sintering. This study introduces a novel BaFe0.9Zr0.1O3-δ (BFZ)-NdMnO3-δ composite cathode fabricated using an ultrafast high-temperature sintering (UHS) process. This approach mitigates thermal expansion while boosting the cathode's catalytic activity compared to a single-phase BFZ cathode. The resulting fuel cell achieves a high peak power density of ∼550 mW cm-2 at 600 °C and demonstrates excellent stability during a 100 h test at 550 °C. These findings highlight the potential of UHS for developing high-performance, thermally compatible cathode materials that advance the field of PCFCs.

Knowledge and Attitudes Regarding Depression Among a Sample of Iraqi Non-Psychiatric Nurses: A Cross-Sectional Study.

Introduction: Nurses, comprising the largest profession in healthcare, play a significant role in the identification and management of mental health disorders in hospitals. Objectives: The study assessed the knowledge and attitudes of non-psychiatric nurses and their encounters with depressive patients throughout their careers. Methods: This was a cross-sectional descriptive study with 400 non-psychiatric nurses from different hospitals in the Kurdistan Region of Iraq during October and November 2022. The independent Student's t-test, one-way analysis of variance, and binary logistic regression were used to assess possible factors associated with knowledge and attitude toward depression. Results: In this study, 400 non-psychiatric nurses were examined, revealing a mean age of 31.57 ± 8.59 years. Their mean scores for knowledge and attitude toward depression were 5.41 out of a maximum of 11 (standard deviation 1.15) and 5.15 out of 18 (standard deviation 1.83), respectively. Notably, differences in mean knowledge scores were observed concerning participant marital status (P = .044), while disparities in mean attitude scores are related to participant gender (P = .010). Upon binary logistic regression analysis, none of the independent variables exhibited an association with good knowledge. Nevertheless, gender emerged as a significant factor influencing attitude toward depression (odds ratio: 0.51; 95% confidence interval: 0.30-0.86; P = .012). Subsequently, in the multivariate binary logistic regression analysis, gender sustained significance (adjusted odds ratio: 0.573; 95% confidence interval: 0.348-0.942; P = .028) as the key variable impacting attitudes toward depression among non-psychiatric nurses. Conclusion: Based on the results of this study, nurses have insufficient awareness and management skills for depression. It has been experienced and reported that nurses lack knowledge and an attitude toward depression management. The study highlights a significant gap in nurses' skills for managing depression, urging the immediate improvement of training programs. Customizing these programs to enhance nurses' abilities in identifying and managing depression is crucial.

Torus fractures - diagnosis and management.

Torus fractures are a common paediatric injury involving the distal radius. Patients typically present following a fall onto the outstretched hand, with wrist pain as their primary complaint. The principal investigation of choice is a plain radiograph of the wrist joint. These fractures should be managed with a soft-bandage and immediate discharge approach and do not require specialist follow-up. Clinicians have historically had differing views regarding optimal management of torus fractures. It is therefore important for hospital clinicians to uniformly understand the most up-to-date management of this condition. This review provides an overview of the epidemiology, anatomy, diagnosis and management, with an aim to improve outcomes.

A Wearable Multi-Modal Digital Upper Limb Assessment System for Automatic Musculoskeletal Risk Evaluation.

Continuous ergonomic risk assessment of the human body is critical to avoid various musculoskeletal disorders (MSDs) for people involved in physical jobs. This paper presents a digital upper limb assessment (DULA) system that automatically performs rapid upper limb assessment (RULA) in real-time for the timely intervention and prevention of MSDs. While existing approaches require human resources for computing the RULA score, which is highly subjective and untimely, the proposed DULA achieves automatic and objective assessment of musculoskeletal risks using a wireless sensor band embedded with multi-modal sensors. The system continuously tracks and records upper limb movements and muscle activation levels and automatically generates musculoskeletal risk levels. Moreover, it stores the data in a cloud database for in-depth analysis by a healthcare expert. Limb movements and muscle fatigue levels can also be visually seen using any tablet/computer in real-time. In the paper, algorithms of robust limb motion detection are developed, and an explanation of the system is provided along with the presentation of preliminary results, which validate the effectiveness of the new technology.

An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients.

BACKGROUND: During the COVID-19 pandemic, there is a global demand for intelligent health surveillance and diagnosis systems for patients with critical conditions, particularly those with severe heart diseases. Sophisticated measurement tools are used in hospitals worldwide to identify serious heart conditions. However, these tools need the face-to-face involvement of healthcare experts to identify cardiac problems. OBJECTIVE: To design and implement an intelligent health monitoring and diagnosis system for critical cardiac arrhythmia COVID-19 patients. METHODOLOGY: We use artificial intelligence tools divided into two parts: (i) IoT-based health monitoring; and (ii) fuzzy logic-based medical diagnosis. The intelligent diagnosis of heart conditions and IoT-based health surveillance by doctors is offered to critical COVID-19 patients or isolated in remote locations. Sensors, cloud storage, as well as a global system for mobile texts and emails for communication with doctors in case of emergency are employed in our proposal. RESULTS: Our implemented system favors remote areas and isolated critical patients. This system utilizes an intelligent algorithm that employs an ECG signal pre-processed by moving through six digital filters. Then, based on the processed results, features are computed and assessed. The intelligent fuzzy system can make an autonomous diagnosis and has enough information to avoid human intervention. The algorithm is trained using ECG data from the MIT-BIH database and achieves high accuracy. In real-time validation, the fuzzy algorithm obtained almost 100% accuracy for all experiments. CONCLUSION: Our intelligent system can be helpful in many situations, but it is particularly beneficial for isolated COVID-19 patients who have critical heart arrhythmia and must receive intensive care.

Efficient Approach for Extracting High-Level B-Spline Features from LIDAR Data for Light-Weight Mapping.

Light-weight and accurate mapping is made possible by high-level feature extraction from sensor readings. In this paper, the high-level B-spline features from a 2D LIDAR are extracted with a faster method as a solution to the mapping problem, making it possible for the robot to interact with its environment while navigating. The computation time of feature extraction is very crucial when mobile robots perform real-time tasks. In addition to the existing assessment measures of B-spline feature extraction methods, the paper also includes a new benchmark time metric for evaluating how well the extracted features perform. For point-to-point association, the most reliable vertex control points of the spline features generated from the hints of low-level point feature FALKO were chosen. The standard three indoor and one outdoor data sets were used for the experiment. The experimental results based on benchmark performance metrics, specifically computation time, show that the presented approach achieves better results than the state-of-the-art methods for extracting B-spline features. The classification of the methods implemented in the B-spline features detection and the algorithms are also presented in the paper.

Cardiac X-ray image-based haptic guidance for robot-assisted coronary intervention: a feasibility study.

PURPOSE: Effective and efficient haptic guidance is desirable for tele-operated robotic surgery because it has a potential to enhance surgeon's skills, especially in coronary interventions where surgeon loses both an eye-hand coordination and a direct sight to the organ. This paper proposes a novel haptic guidance procedure-both kinesthetic and cutaneous, which solely depends upon X-ray images, for tele-robotic system that assists an efficient navigation of the guidewire towards the target location during a coronary intervention. METHODS: Proposed methodology requires cardiologists to draw virtual fixtures (VFs) on angiograms as a preoperative procedure. During an operation, these VFs direct the guidewire to the desired coronary vessel. For this, the position and orientation of guidewire tip are calculated with respect to VFs' anatomy, using image processing on the real-time 2D fluoroscopic images. The haptic feedbacks are then rendered on to the master device depending on the interaction with attractive and repulsive, guidance and forbidden region VFs. RESULTS: A feasibility study in the laboratory environment is performed by using a webcam as an image acquisition device and a phantom-based coronary vessel model. The subsequent statistical analysis shows that, on an average, a decrease of approx. 37% in task completion time is observed with haptic feedback. Moreover, haptic guidance is found effective for most difficult branch, whereas there is a minimal significance of such haptics for the easiest branch. CONCLUSIONS: The proposed haptic guidance procedure may assist cardiologists for an efficient and effective guidewire navigation during a surgical procedure. The cutaneous haptics (vibration feedback) is found more helpful in coronary interventions compared with kinesthetic haptics (force feedback).

Water flooding behavior in flow cells for ammonia production via electrocatalytic nitrogen reduction.

The green production of ammonia, in an electrochemical flow cell under ambient conditions, is a promising way to replace the energy-intensive Haber-Bosch process. In the operation of this flow cell with an alkaline electrolyte, water is produced at the anode but also required as an essential reactant at the cathode for nitrogen reduction. Hence, water from the anode is expected to diffuse through the membrane to the cathode to compensate for the water needed for nitrogen reduction. Excessive water permeation, however, tends to increase the possibility of water flooding, which would not only create a large barrier for nitrogen delivery and availability, but also lead to severe hydrogen evolution as side reaction, and thus significantly lower the ammonia production rate and Faradaic efficiency. In this work, the water flooding phenomenon in flow cells for ammonia production via electrocatalytic nitrogen reduction is verified via the visualization approach and the electrochemical cell performance. In addition, the effects of the nitrogen flow rate, applied current density, and membrane thickness on the water crossover flux and ammonia production rate are comprehensively studied. The underlying mechanism of water transport through the membrane, including diffusion and electro-osmotic drag, is precisely examined and specified to provide more insight on water flooding behavior in the flow cell.

Real Time 3D Representation and Tracking of Guidewire for Image Guided Cardiovascular Interventions.

Visual tracking and 3D representation of guidewire in fluoroscopic image sequence for beating heart image guided interventions is very challenging task. The degraded image quality due to low dose fluoroscopy further complicates the problem. In this paper a robust guidewire tracking is proposed for mean shift algorithm using integrated colour, texture and depth features. The target colour, texture and depth features are encoded into gray level intensity histogram, filtered local binary pattern histogram and filtered local depth pattern histograms respectively. For depth features a 3D image acquisition system for C-Arm, X-Ray imaging system is simulated for real time three dimensional shape recovery of guidewire and associated vessels for vertical beating heart motion using shape from focus technique. The proposed technique provides 3D visualization of guide wire and vessels to the physician as well as real time robust guidewire tip tracking. Experimental results of guidewire tip tracking and 3D shape recovery on image sequence acquired through beating heart simulated phantom show the significance of the proposed technique.

Sporadic incidence of Fascioliasis detected during hepatobiliary procedures: a study of 18 patients from Sulaimaniyah governorate.

BACKGROUND: Fascioliasis is an often-neglected zoonotic disease and currently is an emerging infection in Iraq. Fascioliasis has two distinct phases, an acute phase, exhibiting the hepatic migratory stage of the fluke's life cycle, and a chronic biliary phase manifested with the presence of the parasite in the bile ducts through hepatic tissue. The incidence of Fascioliasis in Sulaimaniyah governorate was unexpected observation. We believe that shedding light on this disease in our locality will increase our physician awareness and experience in early detection, treatment in order to avoid unnecessary surgeries. FINDINGS: We retrospectively evaluated this disease in terms of the demographic features, clinical presentations, and managements by reviewing the medical records of 18 patients, who were admitted to the Sulaimani Teaching Hospital and Kurdistan Centre for Gastroenterology and Hepatology. Patients were complained from hepatobiliary and/or upper gastrointestinal symptoms and diagnosed accidentally with Fascioliasis during hepatobiliary surgeries and ERCP by direct visualization of the flukes and stone analysis. Elevated liver enzymes, white blood cells count and eosinophilia were notable laboratory indices. The dilated CBD, gallstones, liver cysts and abscess were found common in radiological images. Fascioliasis diagnosed during conventional surgical CBD exploration and choledochodoudenostomy, open cholecystectomy, surgical drainage of liver abscess, ERCP and during gallstone analysis. CONCLUSION: Fascioliasis is indeed an emerging disease in our locality, but it is often underestimated and ignored. We recommend the differential diagnosis of patients suffering from Rt. Hypochondrial pain, fever and eosinophilia. The watercress ingestion was a common factor in patient's history.