Raidizon Mercedes, Eric Eidelman, Michael Mawhorter, Max Yudovich, Alireza Aminsharifi^*

Canadian Journal of Urology, Vol.32, No.5, pp. 515-520, 2025, DOI:10.32604/cju.2025.067973 - 30 October 2025

Abstract Background: Spontaneous rupture of the urinary bladder (SRUB) is a rare condition characterized by bladder rupture without any trauma or previous instrumentation. Diagnosing SRUB can be challenging, leading to potential delays in treatment and significant morbidity. Case description: We present a case of a 75-year-old male with a complex medical history, including atrial fibrillation, systemic lupus erythematosus, antiphospholipid syndrome, and chronic anticoagulation, who developed sudden onset gross hematuria and abdominal pain following bilateral internal iliac artery angioembolization for a spontaneous pelvic hematoma in the setting of supratherapeutic anticoagulation. Extraperitoneal bladder perforation was confirmed by CT cystogram.… More >

Jiaqi Lu¹, Fang Wang^2,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 651-659, 2025, DOI:10.32604/jpa.2025.066088 - 24 October 2025

Abstract This study explores parenting and family adjustment profile effects on toddler socioemotional competence by the underlying mechanisms of effortful control. Participants were Chinese parent caregivers (N = 448) of 448 toddlers aged 15–36 months. They completed measures of parenting and family adjustment, toddler socioemotional competence, and effortful control. Latent profile analysis (LPA) identified three family profiles—Strict-Detached, Constrained-Collaborative, and Harmonious-Aligned. These three profiles of parenting and family adjustment directly affect toddler socioemotional competence through variations in emotional support, discipline strategies, and parent–child interactions. Effortful control mediates this relationship of parenting and family adjustment and toddler socioemotional More >

Abdulqadeer Rash^1,*, Yaseen T. Mustafa^2,3,4, Rahel Hamad⁵

Revue Internationale de Géomatique, Vol.34, pp. 381-414, 2025, DOI:10.32604/rig.2025.065870 - 29 July 2025

Abstract Changes in land use/land cover (LULC) are a substantial environmental subject with considerable consequences for human well-being, climate, and ecosystems. Innovative investigations for predicting LULC changes are essential for effective land management and sustainable development. This study used Landsat images and supplementary spatial factors to evaluate spatiotemporal LULC changes in Erbil Province, Kurdistan Region-Iraq. It predicts future changes in 2040 using four climates scenario-based Shared Socioeconomic Pathways (SSPs). The Random Forest (RF) model was used to classify and forecast LULC changes, which are crucial for effective land management and sustainable development. The RF model was… More >

Fatou Balleh Jobe¹, Satyanarayana Narra^1,*, Vidhi Singh¹, Komi Agboka²

Energy Engineering, Vol.122, No.7, pp. 2539-2569, 2025, DOI:10.32604/ee.2025.061963 - 27 June 2025

Abstract This study evaluates the feasibility of incorporating alternative sustainable energy sources, specifically bioenergy and green hydrogen, into The Gambia’s energy mix to support the nation’s long-term energy development goals. The feedstocks analyzed include agricultural crop residues such as rice, cassava, groundnuts, maize, sorghum, oil palm fruit, seed cotton, and millet, as well as municipal solid waste (MSW). An assessment was conducted to calculate the theoretical potential generated from the organic components of both MSW and crop residues, utilizing data collected from 2017 to 2021 and projections extending to 2038. The results were employed to calculate… More >

Meng-Hua Yen^1,*, Nilamadhab Mishra^2,*, Win-Jet Luo³, Chu-En Lin¹

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1839-1855, 2025, DOI:10.32604/cmc.2025.060903 - 17 February 2025

Abstract The Internet of Everything (IoE) coupled with Proactive Artificial Intelligence (AI)-Based Learning Agents (PLAs) through a cloud processing system is an idea that connects all computing resources to the Internet, making it possible for these devices to communicate with one another. Technologies featured in the IoE include embedding, networking, and sensing devices. To achieve the intended results of the IoE and ease life for everyone involved, sensing devices and monitoring systems are linked together. The IoE is used in several contexts, including intelligent cars’ protection, navigation, security, and fuel efficiency. The Smart Things Monitoring System… More >

ELMIRA YAKUPOVA¹, VALENTINA BABENKO^1,2, ALEXEY BOCHARNIKOV¹, KSENIYA FEDULOVA¹, DENIS SILACHEV^1,2, EGOR PLOTNIKOV^1,2,*

BIOCELL, Vol.48, No.12, pp. 1827-1834, 2024, DOI:10.32604/biocell.2024.058496 - 30 December 2024

Abstract Background: The active use of stem and progenitor cells in the therapy of various diseases requires the development of approaches for targeted modification of their properties. One such approach is the induction of a pro- or anti-inflammatory phenotype. Methods: In this study, we investigated the effect of a pro-inflammatory environment in vitro on multipotent mesenchymal stromal cells (MSC) by incubation with lipopolysaccharide (LPS). iCELLigence real-time cell analysis system was used for monitoring cell culture growth. Cell energy metabolism was assessed using the Seahorse XFp Analyzer. For the rat stroke experiment, we used a photoinduced thrombosis (PT)… More >

Rui Li^1,*, Yonggang Huang², John A. Rogers²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.012578

Abstract Bioresorbable electronic devices represent an emerging class of technology that involves components which physically disappear, in whole or in part, at prescribed rates and at programmed times [1,2]. Obtaining reliable performance and favorable degradation behavior demands materials that can serve as biofluid barriers in encapsulating structures that avoid premature degradation of active electronic components [3–5]. We have recently presented a multilayer organic–inorganic film design that addresses this need, with properties in water impermeability, mechanical flexibility, and processability that are superior to alternatives [6,7]. Theoretical modeling for water permeation across the multilayer films provides an important More >

SAM SON¹, AKSHAAR BRAHMBHATT¹, KEN ZHAO¹, BRETT MARINELLI¹, JAMES HARDING², WILLIAM JARNAGIN³, GHASSAN K. ABOU-ALFA², HOOMAN YARMOHAMMADI^1,*

Oncology Research, Vol.32, No.12, pp. 1831-1836, 2024, DOI:10.32604/or.2024.052985 - 13 November 2024

Abstract Background: This article aims to present the single-institution outcomes of patients with Fibrolamellar Carcinoma (FLC) treated with liver-directed therapies (LDT). Methods: In this single-center retrospective study, all patients diagnosed with FLC who underwent LDT were identified. Between July 2012 and July 2023, six patients were identified. One patient was excluded due to bleeding. Demographic and clinical parameters were recorded. Complications within 30 days of the LDT were evaluated. Radiological treatment responses at 1, 6, and 12 months were assessed per mRECIST. Results: A total of five patients, which included three females and two males, were reviewed.… More >

Grace Gau¹, Minerva Singh^2,3,*

Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

Adekunle A. Adeleke^1,*, Nzerem Petrus², Salihu Ayuba², Asmau M. Yahya², Peter P. Ikubanni³, Ikechuckwu S. Okafor², Stephen S. Emmanuel⁴, Adebayo I. Olosho⁴, Ademidun A. Adesibikan⁴

Journal of Renewable Materials, Vol.11, No.12, pp. 4123-4141, 2023, DOI:10.32604/jrm.2023.043915 - 10 November 2023

Abstract Nigeria, often referred to as “the giant of Africa,” boasts a sizable population, a thriving economy, and abundant energy resources. Nevertheless, Nigeria has yet to fully harness its renewable energy potential, despite its enormous capacity in this field. The goal of this review paper is to thoroughly examine the difficulties and untapped opportunities in utilizing biomass for bioenergy production in Nigeria. Notably, Nigeria generates substantial volumes of biomass annually, primarily in the form of agricultural waste, which is often either discarded or burned inefficiently, resulting in significant ecological and environmental damage. Therefore, an efficient approach… More > Graphic Abstract