Muhammad Kashif¹, Ayyaz Hussain², Asim Munir¹, Abdul Basit Siddiqui³, Aaqif Afzaal Abbasi⁴, Muhammad Aakif⁵, Arif Jamal Malik⁴, Fayez Eid Alazemi⁶, Oh-Young Song^7,*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2123-2139, 2021, DOI:10.32604/cmc.2021.014782 - 05 February 2021

Abstract Expression detection plays a vital role to determine the patient’s condition in healthcare systems. It helps the monitoring teams to respond swiftly in case of emergency. Due to the lack of suitable methods, results are often compromised in an unconstrained environment because of pose, scale, occlusion and illumination variations in the image of the face of the patient. A novel patch-based multiple local binary patterns (LBP) feature extraction technique is proposed for analyzing human behavior using facial expression recognition. It consists of three-patch [TPLBP] and four-patch LBPs [FPLBP] based feature engineering respectively. Image representation is… More >

Purushottam Sharma¹, Mohammed Alshehri^2,*, Richa Sharma¹, Osama Alfarraj³

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 885-901, 2021, DOI:10.32604/cmc.2020.012251 - 30 October 2020

Abstract Low back pain (LBP) is a morbid condition that has afflicted several citizens in Europe. It has negatively impacted the European economy due to several man-days lost, with bed rest and forced inactivity being the usual LBP care and management steps. Direct models, which incorporate various regression analyses, have been executed for the investigation of this premise due to the simplicity of translation. However, such straight models fail to completely consider the impact of association brought about by a mix of nonlinear connections and autonomous factors.In this paper, we discuss a system that aids decision-making… More >

Seo Woo Han, Doug Young Suh^*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 213-228, 2021, DOI:10.32604/cmc.2020.012223 - 30 October 2020

Abstract Inpainting has been continuously studied in the field of computer vision. As artificial intelligence technology developed, deep learning technology was introduced in inpainting research, helping to improve performance. Currently, the input target of an inpainting algorithm using deep learning has been studied from a single image to a video. However, deep learning-based inpainting technology for panoramic images has not been actively studied. We propose a 360-degree panoramic image inpainting method using generative adversarial networks (GANs). The proposed network inputs a 360-degree equirectangular format panoramic image converts it into a cube map format, which has relatively More >

Robert J. Evans¹, Tyler Overholt¹, Marc Colaco¹, Stephen J. Walker^1,2

Canadian Journal of Urology, Vol.27, No.1, pp. 10125-10129, 2020

Abstract Introduction: Botulinum toxin A (BTX-A) is currently used as a fourth-line therapeutic option for interstitial cystitis/bladder pain syndrome (IC/BPS) management. The purpose of this study was to determine if BTX-A injection can mitigate pain and if injection location (i.e., trigone-including versus trigone-sparing injection template) impacts treatment efficacy and/or treatment complications profile.
Materials and methods: Female IC/BPS patients refractory to conservative management strategies were prospectively enrolled and asked to complete a baseline history and physical exam, post-void residual (PVR) urine volume determination, O’Leary Sant (OLS) questionnaire, and Pelvic Pain and Urgency/Frequency Symptom Scale (PUF) questionnaire. Participants were randomly… More >

Tyler L. Overholt¹, Robert J. Evans¹, Bruce A. Lessey³, Catherine A. Matthews¹, Katherine N. Hines¹, Gopal Badlani¹, Stephen J. Walker^1,2

Canadian Journal of Urology, Vol.27, No.3, pp. 10257-10262, 2020

Abstract Introduction: Interstitial cystitis/bladder pain syndrome (IC/BPS) and endometriosis are coexistent diagnoses in 48%-65% of women with chronic pelvic pain (CPP), suggesting that dual screening may be warranted. To further investigate the clinical relationship and risk factors between these two conditions, we performed a retrospective review of our large IC/BPS patient data registry.
Materials and methods: We evaluated IC/BPS patients who were prospectively enrolled into our registry who completed validated questionnaires and underwent therapeutic hydrodistension, during which anesthetic bladder capacity (BC) and Hunner’s lesion (HL) status were recorded. Demographic/medical history were reviewed. IC/BPS patients with co-occurring endometriosis diagnosis… More >

Thenappan Chandrasekar^1,*, Lydia Glick², Daniella Wong², Timothy M. Han², Joon Yau Leong², Misung Yi³, James R. Mark¹, Mark J. Mann¹, Edouard J. Trabulsi¹, Costas D. Lallas¹

Canadian Journal of Urology, Vol.27, No.3, pp. 10250-10256, 2020

Abstract Introduction: To evaluate the impact of an “opt-in” non-narcotic postoperative pain regimen on narcotic utilization and patient-reported pain scores.
Materials and methods: A prospective, non-blinded pre- and post-interventional trial was conducted, including a lead-in period for baseline evaluation. The intervention group received a new pain protocol prioritizing non-narcotic medications, an “opt-in” requirement for opiates, and standardized patient education. Study outcomes included opiate prescription and utilization (measured in Morphine Equivalent Doses) and reported pain scores on postoperative day (POD) 1, discharge, and follow-up.
Results: At discharge, 70% fewer patients were prescribed any opioids (ARR: -0.7; p < 0.001); the… More >

Andrew Stamm, Basil Ferenczi, Christopher Porter, Paul Kozlowski, Ryan Donahue, John Corman

Canadian Journal of Urology, Vol.27, No.5, pp. 10363-10368, 2020

Abstract Introduction: Continence and catheter-related pain following prostatectomy are significant patient concerns, and it is unknown whether catheter size impacts these variables. In this study, patients undergoing prostatectomy were randomized to receive either a 16 French or 20 French catheter to assess the impact of catheter size on postoperative continence and pain.
Materials and methods: Patients were prospectively randomized to receive either a 16 French or a 20 French latex catheter at the completion of prostatectomy. Subjects were asked on postoperative day 7 to report their average catheter-related pain and the amount of opioid medication used. International Prostate… More >

Avaneesh Singh^*, Manish Kumar Bajpai

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.3, pp. 991-1031, 2020, DOI:10.32604/cmes.2020.012503 - 15 December 2020

Abstract We have proposed a new mathematical method, the SEIHCRD model, which has an excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD model is an extension of the SEIR model. Three-compartments have added death, hospitalized, and critical, which improves the basic understanding of disease spread and results. We have studied COVID-19 cases of six countries, where the impact of this disease in the highest are Brazil, India, Italy, Spain, the United Kingdom, and the United States. After estimating model parameters based on available clinical data, the model will propagate and forecast dynamic… More >

Samarjeet Singh Siwal^1,2, Qibo Zhang^1,3,*, Adesh Kumar Saini⁴, Vijay Kumar Thakur^5,6,*

Journal of Renewable Materials, Vol.8, No.12, pp. 1543-1563, 2020, DOI:10.32604/jrm.2020.014597 - 12 November 2020

Abstract Coronaviruses are responsible for a developing budgetary, human and fatality trouble, as the causative factor of infections, for example, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has been well recognized that SARS-CoV-2 may survive under severe atmosphere circumstances. Hence, efficient containment approaches, for example, sanitizing, are crucial. Commonly, living compounds contribute a substance of chemical heterogeneity, with antiviral movement, and therefore can have efficacy as therapeutic tools toward coronavirus diseases. Here, in this review article, we have described the antimicrobialbased materials, which can be used to inhibit the spreading of the COVID-19. We have More >

Taemin Lee¹, Dongwann Kang², Kyunghyun Yoon¹, Sanghyun Seo^3,*

Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 181-192, 2020, DOI:10.31209/2019.100000139

Abstract As mobile devices have tremendously developed, people can now get sensor data easily. These data are not only physical data such as temperature, humidity, gravity, acceleration, etc. but also human health data such as blood pressure, heart pulse rate, etc. With this information, Internet of Things (IoT) technology has provided many systems to support human health care. Systems for human health care support physical health care like checking blood pressure, pulse rate, etc. However, the demand for physical health care as well as mental health care is increasing. So, a system, which automatically recommends a… More >