Mohamed Abdel-Basset¹, Hossam Hawash¹, Mohamed Abouhawwash^2,3,*, S. S. Askar⁴, Alshaimaa A. Tantawy¹

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1171-1187, 2024, DOI:10.32604/cmc.2023.044425 - 30 January 2024

Abstract The early implementation of treatment therapies necessitates the swift and precise identification of COVID-19 pneumonia by the analysis of chest CT scans. This study aims to investigate the indispensable need for precise and interpretable diagnostic tools for improving clinical decision-making for COVID-19 diagnosis. This paper proposes a novel deep learning approach, called Conformer Network, for explainable discrimination of viral pneumonia depending on the lung Region of Infections (ROI) within a single modality radiographic CT scan. Firstly, an efficient U-shaped transformer network is integrated for lung image segmentation. Then, a robust transfer learning technique is introduced… More >

Andrew Omame^1,2,*, Mujahid Abbas^3,6, Dumitru Baleanu^4,5,6

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2973-3012, 2024, DOI:10.32604/cmes.2023.029681 - 15 December 2023

Abstract A patient co-infected with COVID-19 and viral hepatitis B can be at more risk of severe complications than the one infected with a single infection. This study develops a comprehensive stochastic model to assess the epidemiological impact of vaccine booster doses on the co-dynamics of viral hepatitis B and COVID-19. The model is fitted to real COVID-19 data from Pakistan. The proposed model incorporates logistic growth and saturated incidence functions. Rigorous analyses using the tools of stochastic calculus, are performed to study appropriate conditions for the existence of unique global solutions, stationary distribution in the More >

Shaik Mahaboob Basha^1,*, Victor Hugo C. de Albuquerque², Samia Allaoua Chelloug^3,*, Mohamed Abd Elaziz^4,5,6,7, Shaik Hashmitha Mohisin⁸, Suhail Parvaze Pathan⁹

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1981-2004, 2024, DOI:10.32604/cmes.2023.031425 - 17 November 2023

Abstract Manual investigation of chest radiography (CXR) images by physicians is crucial for effective decision-making in COVID-19 diagnosis. However, the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning techniques. This study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies, including normal cases. Texture information is extracted using gray co-occurrence matrix (GLCM)-based features, while vessel-like features are obtained using Frangi, Sato, and Meijering filters. Machine learning models employing Decision Tree (DT) and Random Forest (RF) approaches are designed to categorize CXR images… More > Graphic Abstract

Muhammad Farman^1,2,4, Ali Akgül^3,9,*, Mir Sajjad Hashemi⁵, Liliana Guran^6,7, Amelia Bucur^8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1385-1403, 2024, DOI:10.32604/cmes.2023.028803 - 17 November 2023

Abstract New fractional operators, the COVID-19 model has been studied in this paper. By using different numerical techniques and the time fractional parameters, the mechanical characteristics of the fractional order model are identified. The uniqueness and existence have been established. The model’s Ulam-Hyers stability analysis has been found. In order to justify the theoretical results, numerical simulations are carried out for the presented method in the range of fractional order to show the implications of fractional and fractal orders. We applied very effective numerical techniques to obtain the solutions of the model and simulations. Also, we… More >

Elizabeth Ellis¹, Lauren Gochenaur¹, Helena Temkin-Greener², Jean Joseph¹, Divya Ajay¹

Canadian Journal of Urology, Vol.30, No.1, pp. 11438-11444, 2023

Abstract Introduction: Due to COVID-19, telemedicine has become a common method of healthcare delivery. Our goal was to evaluate urology patients’ satisfaction with telemedicine, examine patient preferences, and identify opportunities for improvement in readiness, access, and quality of care.
Materials and methods: A total of 285 adult urology patients who completed at least one telemedicine visit from September to December 2020 were eligible. A paper survey was disseminated by postal mail with an option to complete electronically. Those who returned completed surveys received a $15 gift card.
Results: Seventy-six subjects completed the survey (response rate of 27%). The most… More >

Zhiyu Qian^1,2, Jamie Ye², David F. Friedlander³, Mara Koelker^1,2, Muhieddine Labban^1,2, Bjoern Langbein^1,2, Cheryl Chang-Rong Chen^1,2, Mark A. Preston^1,2, Timothy Clinton¹, Matthew Mossanen^1,2, Firas Abdullah^4,5, Stuart R. Lipsitz², Adam S. Kibel^1,2, Quoc-Dien Trinh^1,2, Alexander P. Cole^1,2

Canadian Journal of Urology, Vol.30, No.6, pp. 11714-11723, 2023

Abstract Introduction: Robot-assisted laparoscopic prostatectomy (RALP) and transurethral resection of bladder tumor (TURBT) are two common surgeries for prostate and bladder cancer. We aim to assess the trends in the site of care for RALP and TURBT before and after the COVID outbreak.
Materials and methods: We identified adults who underwent RALP and TURBT within the California Healthcare Cost and Utilization Project State Inpatient Database and the State Ambulatory Surgery Database between 2018 and 2020. Multivariable analysis and spline analysis with a knot at COVID outbreak were performed to investigate the time trend and factors associated with ambulatory… More >

Elias Hossain¹, Abdullah Alshahrani², Wahidur Rahman^3,*

Intelligent Automation & Soft Computing, Vol.38, No.2, pp. 109-123, 2023, DOI:10.32604/iasc.2022.029511 - 05 February 2024

Abstract This paper aims to develop Machine Learning algorithms to classify electronic articles related to this phenomenon by retrieving information and topic modelling. The Methodology of this study is categorized into three phases: the Text Classification Approach (TCA), the Proposed Algorithms Interpretation (PAI), and finally, Information Retrieval Approach (IRA). The TCA reflects the text preprocessing pipeline called a clean corpus. The Global Vectors for Word Representation (Glove) pre-trained model, FastText, Term Frequency-Inverse Document Frequency (TF-IDF), and Bag-of-Words (BOW) for extracting the features have been interpreted in this research. The PAI manifests the Bidirectional Long Short-Term Memory (Bi-LSTM)… More >

Renaud Mabire-Yon^1,*, Arnaud Siméone¹, Thibaud Marmorat², Anne-Sophie Petit¹, Mathilde Perray¹, Costanza Puppo¹, Charlotte Bauquier¹, Claire Della Vecchia¹, Hervé Picard³, Marie Préau¹

Psycho-Oncologie, Vol.17, No.4, pp. 245-256, 2023, DOI:10.32604/po.2023.042296 - 28 December 2023

Abstract Objectifs : Cette étude visait à déterminer si les personnes atteintes d’un cancer (PAC) présentaient un profil unique de perception du risque COVID-19 et à identifier les facteurs psychosociaux caractérisant les PAC qui n’appartenaient pas au profil majoritaire de perception du risque. Procédure : Une étude transversale par auto-questionnaire en ligne a été menée en France du 25 avril au 7 mai 2020, avec un échantillon (n = 748) comprenant des PAC, des personnes ne recevant pas de traitement contre le cancer et des personnes n’ayant pas d’antécédents de cancer. Des profils latents de perception du risque… More >

FATEMEH HEIDARI^1,2, REIHANEH SEYEDEBRAHIMI^1,2, PIAO YANG³, MOHSEN ESLAMI FARSANI^1,2, SHIMA ABABZADEH^2,4, NASER KALHOR⁵, HAMED MANOOCHEHRI⁶, MOHSEN SHEYKHHASAN^7,*, MARYAM AZIMZADEH^8,9,*

BIOCELL, Vol.47, No.12, pp. 2597-2608, 2023, DOI:10.32604/biocell.2023.043351 - 27 December 2023

Abstract Exosomes are small vesicles that carry molecules from one cell to another. They have many features that make them interesting for research, such as their stability, low immunogenicity, size of the nanoscale, toxicity, and selective delivery. Exosomes can also interact with viruses in diverse ways. Emerging research highlights the significant role of exosomes in viral infections, particularly in the context of diseases like COVID-19, HIV, HBV and HCV. Understanding the intricate interplay between exosomes and the human immune system holds great promise for the development of effective antiviral therapies. An important aspect is gaining clarity More >

Qi Li, Jinsheng Hu^*, Peng Wan

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1173-1186, 2023, DOI:10.32604/ijmhp.2023.030343 - 08 December 2023

Abstract

Given the ongoing character of COVID-19, higher-education students encountered multifaceted pressures brought about by the pandemic and had to overcome many difficulties during this period. Accordingly, it is imperative to identify the factors that may have protective effects on the social functioning and mental status of college students in the aftermath of COVID-19. This cross-sectional study sought to ascertain the internal mechanism of positive coping (PC) styles affecting post-traumatic growth (PTG) and considered the mediating roles of cognitive reappraisal (CR), psychological resilience (PR), and deliberate rumination (DR), which are essential for understanding how and to

… More >