9 research outputs found
Managing a challenging case of bilaterally fractured DJ stents following extracorporeal shock waves lithotripsy for chronic encrustations: A case report
No full textDouble-j stents are commonly used in many urological procedures to facilitate the drainage of renal systems postoperatively. Their usage has revolutionized the world of urological interventions but if left forgotten present serious complications. We report a case of an old man who was diagnosed with bilaterally fragmented DJ stents in situ in our urology department following his sessions of extracorporeal shock wave lithotripsy for chronic encrustations. These stents were placed after complete breakdown of bilateral ureteral stones through ureterorenoscopy and laser lithotripsy
Employment of Self-Adaptive Bayesian Neural Network for Systematic Antenna Design: Improving Wireless Networks Functionalities
No full textThe performance of wireless networks is related to the optimized structure of the antenna. Therefore, in this paper, a Machine Learning (ML)-assisted new methodology named Self-Adaptive Bayesian Neural Network (SABNN) is proposed, aiming to optimize the antenna pattern for next-generation wireless networks. In addition, the statistical analysis for the presented SABNN is evaluated in this paper and compared with the current Gaussian Process (GP). The training cost and convergence speed are also discussed in this paper. In the final stage, the proposed model’s measured results are demonstrated, showing that the system has optimized outcomes with less calculation time
Coaxial feed ultra-wideband microstrip antenna for medical applications
Get PDFIn this article, an ultra-wideband antenna has been presented for medical applications which have a resonant frequency of 10.35GHz and offers a bandwidth of 1400MHz with a return loss of -19db. The presented antenna is low-cost lightweight and can easily be integrated inside the circuit. As this antenna is designed for medical applications its size is compact and is fed utilizing a coaxial feeding technique which is especially plentiful for operative radiotherapy applications. The designed antenna is rectangular and covers an overall size of 24x12mm with a thickness of 1mm. The proposed antenna is designed using CST studio as a simulation tool, the extracted results of important parameters like return loss, surface current, reference impedance, and far-field have achieved remarkable results which are illustrated in the article. which makes it suitable for radiotherapy. A high epsilon valued εr = 4.8, tan δ = 0.02 substrate GT-008 has been employed as a dielectric material whereas copper is being used for the ground and radiating patches. The performance of the antenna in the X-band is satisfactory which makes it suitable for radiotherapy
Multiband Stepped Impedance Resonator (SIR) Based Antenna for Future Wireless Applications
Get PDFA novel multi-band stepped impedance resonator (SIR) based microstrip antenna is presented in this paper. The presented antenna is explicitly designed to overcome the multi-standard requirements of future wireless communication systems. The antenna contains six radiating patches, occupies a volume of 85x50x1.574mm. The antenna contains three short-circuited dual band SIR radiating patches. The SIR radiating patches are optimized to operate at the specified frequency bands of 0.9GHz, 1.2GHz, 1.5GHz, 2.5GHz, 2.75GHz, and 3.65 GHz. The SIR radiating patches are fed using a single coaxial feeding technique which shows a good matching of 50 Ohm. In stepped impedance technique; of three resonators one of the radiating patches is short circuited with a ground. The simulated results of the reflection coefficient, impedance matching, and peak gains show stable responses and are acceptable. The Antenna is designed using FR-4 as a substrate whereas; CST studio and MATLAB are utilized as simulation tool. The proposed antenna verifies to be a suitable candidate for small mobile devices and other multi-standard wireless communication devices
Predictive modelling of compressive strength of fly ash and ground granulated blast furnace slag based geopolymer concrete using machine learning techniques
No full textOrdinary Portland cement (OPC) is proving to be hazardous to the environment. To replace the OPC, geopolymers (GPs) are introduced. However, to fully replace the OPC by GPs extensive laboratory tests are required to assess the long-term and short-term properties of GPs in different scenarios. Given the shortage of time for performing such extensive testing, artificial intelligence (AI) is used to analyze the properties of GPs. In this study, different AI techniques such as artificial neuro network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and gene expression programming (GEP) are used to obtain the predictive models for estimating the compressive strength of fly ash and ground granulated blast furnace slag-based GP concrete. Different statistical parameters are used to evaluate the performance of predictive models. Similarly, sensitivity and parametric analysis are also conducted on the input parameters. Additionally, multiple linear regression was also performed on the whole database. After comparing all the results, it was concluded that GEP is the best AI technique to predict the compressive strength of GP-based concrete
Non-Adherence to WHO recommendations regarding infant feeding practices results in dilemma of malnourishment: A community-based prospective cohort study conducted in Karachi, Pakistan
Get PDFBackground: The prevalence of chronic malnutrition and its associated morbid outcomes has been a significant cause of health loss globally, affecting millions of children hampering their mental, physical, social, and immune system development. World Health Organization\u27s (WHO) recommendations presenting infant feeding guidelines have largely controlled this burden. However, developing countries including Pakistan have failed to promote these guidelines and still succumb to a huge burden of morbidity and mortality secondary to malnourishment among infants.Methodology: Our study is a prospective cohort including 300 infants without predisposing congenital anomaly, followed from 6 months to 18 months of age. The primary outcome involved was classifying patients as malnourished based on anthropometric measurements, assessing the prevalence of co-morbidities and comparison of results in compliance with WHO guidelines.Results: A total of 276 infants were included and the rest were lost to follow-up. Stratification on socioeconomic status was done; 53% of infants were diagnosed as malnourished, either due to stunted growth, underweight, or both. The odds of development of malnourishment based on non-adherence to WHO guidelines on breastfeeding were 2.87 (p=0.001). The incidence of morbid complications was higher in the malnourished group, including gastrointestinal and respiratory tract infections.Conclusion: The implementation of WHO recommendations on infant feeding techniques can prove to be a pivotal instrument to control the soaring index of morbidities and mortalities associated with malnourishment. A strong focus on parental education and awareness among masses is required for its promulgation and controlling the infant health burden linked to this preventable condition
Design of Roger-based Beamforming Antenna Array for Future 5G
No full textA microstrip antenna array is proposed and excited using a microstrip-line. ROGER-3003 is employed as a dielectric material since its advance and environment-friendly features which makes it suitable for the application of 5G and B5G. The antenna is resonating at 28.8GHz with 1GHz impedance bandwidth. It offers 9.19dBi gain illustrating it is perfectly matched and maximum power is delivered to radiating patches. Â
Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries
Get PDFBackground: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures. Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge. Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to sideeffects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (β coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and lowand middle-income countries, patient-reported outcomes did not. Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely
