Kamil Yasen^1,#, Heyan Jin^2,#, Sijie Yang², Li Zhan², Xuyang Zhang², Ke Qin^1,3, Ye Li^2,3,*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3277-3301, 2025, DOI:10.32604/cmc.2025.061037 - 16 April 2025

Abstract Research on mass gathering events is critical for ensuring public security and maintaining social order. However, most of the existing works focus on crowd behavior analysis areas such as anomaly detection and crowd counting, and there is a relative lack of research on mass gathering behaviors. We believe real-time detection and monitoring of mass gathering behaviors are essential for migrating potential security risks and emergencies. Therefore, it is imperative to develop a method capable of accurately identifying and localizing mass gatherings before disasters occur, enabling prompt and effective responses. To address this problem, we propose… More >

Xincong Shi^1,2, Yuze Ji^3,*, Xinrui Wang³, Ruimin Tian³, Chao Zhang²

Energy Engineering, Vol.122, No.3, pp. 1199-1220, 2025, DOI:10.32604/ee.2025.061586 - 07 March 2025

Abstract With the development of integrated power and gas distribution systems (IPGS) incorporating renewable energy sources (RESs), coordinating the restoration processes of the power distribution system (PS) and the gas distribution system (GS) by utilizing the benefits of RESs enhances service restoration. In this context, this paper proposes a coordinated service restoration framework that considers the uncertainty in RESs and the bi-directional restoration interactions between the PS and GS. Additionally, a coordinated service restoration model is developed considering the two systems’ interdependency and the GS’s dynamic characteristics. The objective is to maximize the system resilience index… More >

Jean-Baptiste Lattouf¹, Jenny J. Ko², Margot K. Davis³, Christian Constance⁴, Geoffrey T. Gotto⁵

Canadian Journal of Urology, Vol.31, No.5, pp. 11977-11985, 2024

Abstract Introduction: Niraparib, a PARP1/2 inhibitor, is newly approved in combination with abiraterone acetate (AA) plus prednisone or prednisolone (niraparib/AA+P) for the treatment of adult patients with BRCA-mutated, treatment-naïve metastatic castration resistant prostate cancer (mCRPC). Detailed guidance beyond the prescribing information may be helpful in managing the side effect profile and dosing practicalities of this combination therapy.
Materials and methods: A panel of specialists convened to design management algorithms for four common niraparib/ AA+P treatment-related adverse events (AEs) in mCRPC; anemia, thrombocytopenia, hypertension, and nausea. The algorithms build on Health Canada-approved prescribing information to highlight practical considerations related… More >

Huan Ma¹, Linlin Ma², Zengwei Wang^3,*, Zhendong Li³, Yuanzhen Zhu¹, Yutian Liu³

Energy Engineering, Vol.121, No.11, pp. 3133-3160, 2024, DOI:10.32604/ee.2024.055051 - 21 October 2024

Abstract With the increasing penetration of renewable energy in power system, renewable energy power ramp events (REPREs), dominated by wind power and photovoltaic power, pose significant threats to the secure and stable operation of power systems. This paper presents an early warning method for REPREs based on long short-term memory (LSTM) network and fuzzy logic. First, the warning levels of REPREs are defined by assessing the control costs of various power control measures. Then, the next 4-h power support capability of external grid is estimated by a tie line power prediction model, which is constructed based More > Graphic Abstract

Bayan Alabdullah¹, Muhammad Tayyab², Yahay AlQahtani³, Naif Al Mudawi⁴, Asaad Algarni⁵, Ahmad Jalal², Jeongmin Park^6,*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 309-326, 2024, DOI:10.32604/cmc.2024.053538 - 15 October 2024

Abstract In the modern era of a growing population, it is arduous for humans to monitor every aspect of sports, events occurring around us, and scenarios or conditions. This recognition of different types of sports and events has increasingly incorporated the use of machine learning and artificial intelligence. This research focuses on detecting and recognizing events in sequential photos characterized by several factors, including the size, location, and position of people’s body parts in those pictures, and the influence around those people. Common approaches utilized, here are feature descriptors such as MSER (Maximally Stable Extremal Regions),… More >

Rong Fu^*, Luze Xie

International Journal of Mental Health Promotion, Vol.26, No.1, pp. 21-30, 2024, DOI:10.32604/ijmhp.2023.041730 - 05 February 2024

Abstract COVID-19, as one of the most serious sudden public health problems in this century, is a serious threat to people’s mental health. College students, as a vulnerable group, are more likely to develop mental health problems. When the body is unable to adapt to new changes in the environment, the main mental health problem that arises is adjustment disorder. The aim of this study was to assess the prevalence and influencing factors of adjustment disorder among college students during the COVID-19 outbreak in China. Cross-sectional data collected by web-based questionnaires were obtained through convenience sampling… More >

Leslie M. Peard¹, Seth Teplitsky¹, Arati Annabathula², William Gunnar³, Peter Mills⁴, Andrew Harris^1,2

Canadian Journal of Urology, Vol.30, No.2, pp. 11467-11472, 2023

Abstract Introduction: Adverse events in urologic procedures are poorly studied. This study analyzes the Veterans Health Administration (VHA) Root Cause Analysis (RCA) data for patient safety adverse events during urologic procedures performed in a VHA operating room (OR).
Materials and methods: The VHA National Center for Patient Safety RCA database was queried for fiscal years 2015-2019 using urologic terms including vasectomy, prostatectomy, nephrectomy, cystectomy, cystoscopy, lithotripsy, ureteroscopy, urethral, TURBT, etc. RCAs for events outside a VHA OR were excluded. Cases were categorized based on type of event.
Results: Sixty-eight RCAs were identified for 319,713 urologic procedures. The most common… More >

David-Dan Nguyen^1,*, Massine Fellouah^2,*, Anna-Lisa V. Nguyen³, David-Christian Kazu⁴, Isabel Baltzan⁵, Muhieddine Labban⁶, Shubha De⁷, Kevin C. Zorn⁸, Bilal Chughtai⁹, Dean S. Elterman¹, Quoc-Dien Trinh⁶, Naeem Bhojani⁸

Canadian Journal of Urology, Vol.30, No.3, pp. 11546-11550, 2023

Abstract Introduction: 5α-reductase inhibitors (5ARI) are commonly prescribed medications. There is ongoing controversy about the adverse events of these medications. The aim of this study is to characterize lawsuits in Canada involving medical complications of 5ARIs use.
Materials and methods: Legal cases were queried from CanLII. Cases were included if they involved a party taking a 5ARI who alleged an adverse event. Relevant full cases were retained, and pertinent characteristics were extracted with the help of a legal expert.
Results: Our deduplicated search yielded 67 unique legal documents from December 2013 to February 2019. Twelve of these documents met… More >

Chen Gu^1,*, Caiyu Wang¹, Mengjiao Du², Kan Yi², Bihong Zhu¹, Hao Wang², Shu Dai¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.3, pp. 1-1, 2023, DOI:10.32604/icces.2023.09776

Abstract Site measurement is essential to the meteorological and oceanographic parameters of offshore wind farms. A floating lidar measurement buoy was deployed at a Qingzhou VI wind farm where is 45-80 km away from Guangdong coast. The field observation including wind and wave data start from March, 2021.The lidar wind data is compared and calibrated with the fixed wind tower data for three months, the accuracy meets the standard of stadge3 carbon trust. In this study, all these data are used to recalibrate for the met-ocean model to relies extreme conditions, such as Typhoon Kompasu(2118) and More >

Farah Mohammad^1,*, Saad Al-Ahmadi², Jalal Al-Muhtadi^1,2

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1423-1438, 2023, DOI:10.32604/cmc.2023.035741 - 30 August 2023

Abstract Social media forums have emerged as the most popular form of communication in the modern technology era, allowing people to discuss and express their opinions. This increases the amount of material being shared on social media sites. There is a wealth of information about the threat that may be found in such open data sources. The security of already-deployed software and systems relies heavily on the timely detection of newly-emerging threats to their safety that can be gleaned from such information. Despite the fact that several models for detecting cybersecurity events have been presented, it… More >