Background: Thanks to progressive technology and modern innovations, laparoscopic procedures, being minimally invasive, have now supervened upon most open surgical procedures. Laparoscopic procedures have proven advantages over open procedures. The study was designed to compare the outcomes of laparoscopic nephrectomy between 3D and 4K camera resolutions. Methods: This randomized control trial carried out at Tabba Kidney institute, Karachi, Pakistan from July 2020 to April 2021, to our knowledge was the first of its kind comparative study in Pakistan and internationally. All patients diagnosed to have symptomatic non-functioning kidney on the basis of both renal scintigraphy and CT- KUB were divided through blocked randomization in to two different camera resolution groups, i.e., 3D vs 4K and outcomes in terms of operative time, haemoglobin fall, post procedure complications and in patient stay were recorded. Results: It was observed that the 3D group had a significantly shorter mean total operative time 172.1±36.9 vs 272.5±14.1 respectively (p<0.005). A significant difference was also observed in mean operative time for task 2 was 53.1±21.1 & 101±30.9 mins (p<0.005), and for task 3 was 67.18±18.3 & 112.5±37 mins (p=0.005) for 3D and 4K groups respectively. The mean haemoglobin drops in 3D and 4K groups was 0.51±1.6 & 0.73±1.1 respectively (p=0.7). Moreover, the mean hospital stay was 2.5±0.6 for 3D group & 2.7±0.9 for 4K group (p-value 0.8). Post-operative wound infection was observed in one patient in each group. No case had to be converted to surgery by an open approach. Conclusion: We concluded that despite being the latest technological advancement with a greater zooming capability, when used for performing laparoscopic nephrectomy, 4K imaging system couldn’t show any superiority over 3D imaging system, in different operative tasks and in terms of total operative time.
Ultraviolet-C (UVC) sourced has been widely used for the purpose of disinfection due to its germicidal spectrum. In this study, the effectiveness of Everlight’s 275 nm Ultraviolet-C surface mounted device (UVC-SMD) to disinfect Staphylococcus aureus (S. aureus) was investigated at three exposure durations (10, 30 and 60 s) for a standard distance of 5 cm. The inhibition zones were greater with the increment of exposure duration. The highest records of 4.53 ± 0.03 cm were achieved when 102 mJ/cm² of dose was applied at a distance of 5 cm for 60 s. Whereas, on the other side, the lowest inhibition was seen when the exposure was set for 10 s. Thus, the Everlight 6565 UVC-SMD with 275 nm of wavelength is capable in providing bacterial disinfection which could possibly be used for the development of disinfection system based on SMDs at longer exposure duration.
Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focused on mental task designs for BCI by acquiring the signals generated by mental activity using EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eyes for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain.
Detection of early knee osteoarthritis remains a driving force in the search for more promising quantitative assessment approaches. Apart from other conventional methods such as radiography, computed tomography, and sonography, magnetic resonance imaging has become more widely available and has made it essential to visualize the knee's entire anatomy. Biomarkers such as joint space narrowing, articular cartilage thickness, cartilage volume, cartilage surface curvature, lesion depth, and others are used to determine disease progression in non-invasive manner. In this research, a regional cartilage normal thickness approximation (RCN-ta) model was developed with MATLAB to enable rapid cartilage thickness assessment with a simple click. The model formulated was compared to the FDA-cleared software measurements. A reasonable range of 0.135-0.214 mm of root-mean-square error may be predicted from the model. With a high ICC > 0.975, the model was highly accurate and reproducible. A good agreement between the proposed model and the medically used software can be found with a high Pearson correlation of r > 0.90.
Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focuses on mental task design for BCI by acquiring the signals generated by mental activity through EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eye for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain.
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