Maria J. D’Amico¹, Jennifer A. Hagerty²

Canadian Journal of Urology, Vol.31, No.3, pp. 11908-11910, 2024

Abstract Urethral injuries are rare among the pediatric population, and the majority occur after trauma. This is the case of an eight-year-old female with complete proximal urethral disruption and ruptured bladder neck without pelvic fracture after a motor vehicle crash. After the accident, her bladder neck was reapproximated and a suprapubic tube was placed. Three months later, she underwent reconstruction for a bladder neck closure and appendicovesicostomy. In managing these patients, focus should first be directed at achieving a safe means of urinary drainage, and next to repair the lower urinary tract to maximize continence and More >

Bassem Toeama¹, Nathan Perlis², Paul Grootendorst¹, William Orovan³, Emmanuel Papadimitropoulos^1,4

Canadian Journal of Urology, Vol.31, No.4, pp. 11963-11970, 2024

Abstract Introduction: Prostate cancer is the third leading cause of death from cancer among Canadian men. High intensity focused ultrasound (HIFU) is a novel approach for primary treatment of localized prostate cancer. Little is known, however, about its costs. We aimed to collect the direct costs and health-related quality of life (HRQoL) data of HIFU in primary treatment of localized low and intermediate risk prostate cancer in Ontario.
Materials and methods: We collected direct costs and HRQoL data of 20 patients with localized low or intermediate risk prostate cancer who received whole gland HIFU at a privately owned… More >

Braden Rolig¹, James A. Brown²

Canadian Journal of Urology, Vol.31, No.5, pp. 12019-12021, 2024

Abstract The Hem-o-lok Weck clip is part of a polymer locking ligation system often employed for hemostasis in surgical practices. Its use is routine in a wide array of surgical subspecialties. Surgeons have limited options in removing these clips when they are aberrantly positioned.
Herein, we describe a novel, cost-effective approach for removing a Hem-o-lok clip using standard robotic instruments. This simple approach will allow surgeons to remove a Hem-o-lok clip precisely and quickly if it is not adequately placed.
During a routine robotic-assisted laparoscopic prostatectomy a Hem-o-lok Weck clip was noted to be in juxtaposition to… More >

Alex J. Xu¹, Jeffery S. Lin¹, Po Yen Chen², Samuel Carbunaru¹, Yeonsoo S. Lee³, Lee C. Zhao¹

Canadian Journal of Urology, Vol.31, No.6, pp. 12072-12076, 2024

Abstract Introduction: We describe a method of robotic ureterocalicostomy (RALUC) with the Da Vinci Single Port (SP) platform and present clinical outcomes in our cohort of patients.
Materials and methods: We retrospectively reviewed all patients undergoing RALUC with the SP platform in a single-institution, IRB-approved database between 2020 2023. Demographics, preoperative, intraoperative, and postoperative outcomes were collated. Surgical success was defined as freedom from hardware, avoidance of additional surgical reconstruction, and no obstruction on follow up imaging/ureteroscopy.
An incision is made 1/3rd the distance from anterior superior iliac spine to the umbilicus. The retroperitoneal space is entered and SP… More >

Fizza Mansoor¹, Muhammad Affan Alim^2,5,*, Muhammad Taha Jilani³, Muhammad Monsoor Alam^4,5, Mazliham Mohd Su’ud⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4603-4624, 2024, DOI:10.32604/cmc.2024.057979 - 19 December 2024

Abstract Software cost estimation is a crucial aspect of software project management, significantly impacting productivity and planning. This research investigates the impact of various feature selection techniques on software cost estimation accuracy using the CoCoMo NASA dataset, which comprises data from 93 unique software projects with 24 attributes. By applying multiple machine learning algorithms alongside three feature selection methods, this study aims to reduce data redundancy and enhance model accuracy. Our findings reveal that the principal component analysis (PCA)-based feature selection technique achieved the highest performance, underscoring the importance of optimal feature selection in improving software More >

Alya Penta Agharid¹, Indra Permana², Nitesh Singh¹, Fujen Wang^2,*, Susan Gustiyana²

Energy Engineering, Vol.121, No.12, pp. 3549-3571, 2024, DOI:10.32604/ee.2024.056398 - 22 November 2024

Abstract Hotel buildings are currently among the largest energy consumers in the world. Heating, ventilation, and air conditioning are the most energy-intensive building systems, accounting for more than half of total energy consumption. An energy audit is used to predict the weak points of a building’s energy use system. Various factors influence building energy consumption, which can be modified to achieve more energy-efficient strategies. In this study, an existing hotel building in Central Taiwan is evaluated by simulating several scenarios using energy modeling over a year. Energy modeling is conducted by using Autodesk Revit 2025. It… More >

Indra Mamad Gandidi^1,2,*, Sukarni Sukarni^3,4, Avita Ayu Permanasari³, Purnami Purnami⁵, Tuan Amran Tuan Abdullah⁶, Anwar Johari⁶, Nugroho Agung Pambudi^7,*

Energy Engineering, Vol.121, No.12, pp. 3635-3648, 2024, DOI:10.32604/ee.2024.054943 - 22 November 2024

Abstract The use of catalysts has significantly enhanced the yield and quality of in-situ pyrolysis products. However, there is a lack of understanding regarding pyrolysis approaches that utilize several low-cost natural catalysts (LCC) and their placement within the reactor. Therefore, this study aims to examine the effects of various LCC on the in-situ pyrolysis of spirulina platensis microalgae (SPM) and investigate the impact of different types of catalysts. We employed LCC such as zeolite, dolomite, kaolin, and activated carbon, with both layered and uniformly mixed LCC-SPM placements. Each experiment was conducted at a constant temperature of 500°C… More > Graphic Abstract

Sagiraju Srinadhraju^*, Samaresh Mishra, Suresh Chandra Satapathy

Computer Systems Science and Engineering, Vol.48, No.6, pp. 1641-1668, 2024, DOI:10.32604/csse.2024.055612 - 22 November 2024

Abstract This paper introduces the integration of the Social Group Optimization (SGO) algorithm to enhance the accuracy of software cost estimation using the Constructive Cost Model (COCOMO). COCOMO’s fixed coefficients often limit its adaptability, as they don’t account for variations across organizations. By fine-tuning these parameters with SGO, we aim to improve estimation accuracy. We train and validate our SGO-enhanced model using historical project data, evaluating its performance with metrics like the mean magnitude of relative error (MMRE) and Manhattan distance (MD). Experimental results show that SGO optimization significantly improves the predictive accuracy of software cost More >

Naeem Raza¹, Muhammad Asif Habib¹, Mudassar Ahmad¹, Qaisar Abbas^2,*, Mutlaq B. Aldajani², Muhammad Ahsan Latif³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 911-931, 2024, DOI:10.32604/cmc.2024.055049 - 15 October 2024

Abstract Vision-based vehicle detection in adverse weather conditions such as fog, haze, and mist is a challenging research area in the fields of autonomous vehicles, collision avoidance, and Internet of Things (IoT)-enabled edge/fog computing traffic surveillance and monitoring systems. Efficient and cost-effective vehicle detection at high accuracy and speed in foggy weather is essential to avoiding road traffic collisions in real-time. To evaluate vision-based vehicle detection performance in foggy weather conditions, state-of-the-art Vehicle Detection in Adverse Weather Nature (DAWN) and Foggy Driving (FD) datasets are self-annotated using the YOLO LABEL tool and customized to four vehicle… More >

Mohamed Rabik Mohamed Ismail¹, Muthuramalingam Thangaraj^1,*, Khaja Moiduddin^2,*, Zeyad Almutairi^2,3, Mustufa Haider Abidi²

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 4263-4279, 2024, DOI:10.32604/cmc.2024.055271 - 12 September 2024

Abstract The measurement and mapping of objects in the outer environment have traditionally been conducted using ground-based monitoring systems, as well as satellites. More recently, unmanned aerial vehicles have also been employed for this purpose. The accurate detection and mapping of a target such as buildings, trees, and terrains are of utmost importance in various applications of unmanned aerial vehicles (UAVs), including search and rescue operations, object transportation, object detection, inspection tasks, and mapping activities. However, the rapid measurement and mapping of the object are not currently achievable due to factors such as the object’s size,… More >