Ibtisam A. Taqi^*

CMC-Computers, Materials & Continua, Vol.89, No.2, 2026, DOI:10.32604/cmc.2026.082352 - 15 September 2026

Abstract Multimedia technology and social media platforms like Facebook, Telegram, Viber, and WhatsApp, as well as numerous industries like communications, banking, and the military, depend heavily on images. Therefore, the biggest issue these days is safeguarding the image from theft or hacking during storage or transmission over the internet. This study suggests a novel approach of grayscale image encoding that uses a two-dimensional (2D) logistic map and the Secure Hash Algorithm (SHA). First, convert a color image to grayscale. Second, use the recently proposed equations to calculate the initial states of the Two-Dimensional Logistic Map (2DLM).… More >

Erman Taer^1,*, Novi Yanti¹, Asmarwati¹, Apriwandi¹, Abrar Ismardi², Indra Wahyudhin Fathona², Memoria Rosi², Bidayatul Armynah³, Dahlang Tahir³, Ninis Hadi Haryanti⁴, Suryajaya⁴, Isnasyauqiah⁵, Ida Usman⁶, Julnaidi⁷, Rika Taslim^8,*

Journal of Renewable Materials, Vol.14, No.8, 2026, DOI:10.32604/jrm.2026.02026-0022 - 26 August 2026

Abstract The promotion of bio-carbon for developing superior electrodes has become a trending topic in realising the practical application of supercapacitor devices. This study aimed to prepare porous carbon (PC) with a taproot fiber-like nanostructure that was decorated with self-doped oxygen. The waste of red suren leaves (RSL) was further treated using a direct heating method with the catalyst effect of ZnCl₂ (0.3, 0.5, and 0.7 M) in an N₂/CO₂ environment at 850°C, being examined. The results showed that RSL@PC-0.5 exhibited the best amorphous carbon structure (FWHM = 0.105° and 0.182°). The specific surface area (SSA =… More > Graphic Abstract

Xue Yang¹, Shunpeng Yang¹, Wanying Shi^2,*, Weizhong Yuan¹, Sihui Long¹, Ruixiao Sun³, Cheng Yang⁴

Structural Durability & Health Monitoring, Vol.20, No.5, 2026, DOI:10.32604/sdhm.2026.078468 - 24 August 2026

Abstract Unmanned aerial vehicle (UAV) imaging techniques have emerged as a promising solution to boost the accuracy and dependability of visual monitoring for railway facilities and peripheral ecological environments, garnering widespread research interest in recent years. Nevertheless, aerial images acquired by UAVs are prone to severe quality deterioration in fog and haze weather scenarios, which greatly hinders the progress and effectiveness of railway routine inspection work. As modern railway systems pursue higher operational safety benchmarks and intelligent rail transit technologies achieve iterative breakthroughs, video monitoring systems have evolved into indispensable core equipment for identifying and early… More >

Marie-Elise Henckes, Ben Van Cleynenbreugel^*

Canadian Journal of Urology, Vol.33, No.4, pp. 811-817, 2026, DOI:10.32604/cju.2026.072379 - 21 August 2026

Abstract Objectives: This study aims to assess the precision of transrectal ultrasound (TRUS) measurement of the prostate volume when performed by a urologist compared with a radiologist. To date, no prior research has directly compared the accuracy of prostate volume measurements between these two groups. Methods: A retrospective study was conducted using data from 307 men who underwent enucleation of the prostate between 2020 and 2022 in two Belgian hospitals (University Hospital Leuven and Maria Middelares Hospital [Ghent]). A comparison was made between the prostate volume measured on ultrasound pre-operatively and the measured resected volume after… More >

Islam T. Almalkawi^1,*, Samer Khasawneh¹, Hamza M. Alkhatib¹, Sabya Shtaiwi¹, Rami Halloush², Manel Guerrero Zapata³

CMC-Computers, Materials & Continua, Vol.89, No.1, 2026, DOI:10.32604/cmc.2026.077025 - 13 August 2026

Abstract Current image steganography methods often struggle to balance security, payload capacity, and computational efficiency, with many spatial-domain techniques vulnerable to statistical steganalysis and complex methods incurring high overhead. To address persistent challenges in secure data communication, this paper introduces a novel hybrid chaotic-based multi-layered image security and steganography scheme to enhance resistance against detection while offering adaptable performance. The proposed scheme first integrates Fisher-Yates permutation driven by a Logistic Map PRNG, followed by stream cipher encryption using a Hénon Map-generated keystream to secure the secret image. Embedding is then performed via a unique three-pass chaotic More > Graphic Abstract

Whitnee Hogan^1,2,*, Thomas S. Przybycien^3,4, Anita J. Moon-Grady^3,4

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085038 - 31 July 2026

Abstract Improvements in fetal cardiac imaging have highlighted the need for large, multidisciplinary collaborations to further advance fetal cardiovascular care. The Fetal Cardiac Intervention Registry (IFCIR), established in 2011, aims to improve outcomes in fetuses with congenital heart disease (CHD) considered amenable to fetal cardiac intervention (FCI). The registry compiles data from multiple international centers to better define indications, selection criteria, procedural techniques, complications, and outcomes of FCI. The Fetal Heart Society (FHS), founded in 2014, is a non-profit organization dedicated to advancing the understanding of in utero cardiovascular physiology through collaborative research, education and mentorship. The… More >

Anusha Konduri^1,*, Toni Duganiero², Lauren Smyth², Shahnawaz Amdani³, Angela Lorts², Sabrina Law⁴, Jacqueline Lamour⁵, Deipanjan Nandi⁶, Aryaz Sheybani⁷, Sarah Wilkens⁸, Thomas Young⁹, Mark Bleiweis¹⁰, Jennifer Conway¹¹

Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.082288 - 31 July 2026

Abstract Pediatric heart failure is associated with substantial morbidity, mortality, and health care utilization across diverse diagnoses and care settings. Despite major advances in surgical and medical care, evidence-based management of heart failure in the pediatric population, especially with congenital heart disease (CHD), remains limited due to a small patient population, marked anatomic and physiologic heterogeneity, and barriers to conducting traditional randomized clinical trials. Clinical registries have provided important insights into pediatric heart failure, and the increasing complexity of these populations has underscored the value of learning health system approaches to data generation and improvement. The… More >

Jinxiu Song¹, Zhixin Li², Wenwen Di², Qiaoshuo Hou², Xiaoming Song¹, Long Wang³, Qi Liu², Zejin Zhang⁴, Zhengnan Yan^2,*

Phyton-International Journal of Experimental Botany, Vol.95, No.7, 2026, DOI:10.32604/phyton.2026.086028 - 30 July 2026

Abstract Blue light and ultraviolet-A (UV-A) radiation are critical light-quality regulators that coordinately modulate plant growth and quality in protected horticulture. However, their interactive effects on celery (Apium graveolens L.) remain inadequately characterized. In the present study, we quantified the individual and combined impacts of supplemental UV-A and blue light on the growth, biomass accumulation, photosynthetic performance, and nutritional quality of celery (cv. Dayehuang) in a plant factory with artificial lighting. Our results demonstrated that sole UV-A or blue light application significantly increased biomass, nutritional quality, and light use efficiency (LUE) of celery. Notably, combined supplementation with… More >

Dogukan Sugolu, Lutfiye Kusak^*

Revue Internationale de Géomatique, Vol.35, pp. 461-489, 2026, DOI:10.32604/rig.2026.079178 - 29 July 2026

Abstract Disasters are occurring much more frequently and their impacts are worsening due to factors such as climate change, rapid urbanization, and environmental degradation. The need for technologies like Mobile Geographic Information Systems (Mobile GIS) in disaster management is increasing every day. This study evaluates mobile GIS applications in disaster management using a hybrid method combining bibliometric analysis with a PRISMA-based systematic review approach. Analyzing 353 publications, the study reveals that mobile GIS research is among the preferred technologies in disaster management. However, a significant structural imbalance is also noticeable in the literature, with a large… More >

Naimul Hasan Shadesh^*, Zannatul Ferdous, Bipasha Iasmin

Journal on Artificial Intelligence, Vol.8, pp. 335-357, 2026, DOI:10.32604/jai.2026.078589 - 22 July 2026

Abstract Sentiment analysis is a core task in Natural Language Processing (NLP) that aims to identify opinions and sentiment polarity expressed in textual data. This study presents a systematic empirical evaluation of classical machine learning–based sentiment analysis methods using a unified experimental framework. Several supervised classifiers, including Decision Trees, Logistic Regression, Support Vector Machines (SVM), Random Forests, Naïve Bayes, and K-Nearest Neighbors (KNN), are evaluated on labeled text datasets collected from multiple domains such as product reviews, customer feedback, hotel reviews, and social media content. The experimental pipeline includes standard NLP preprocessing steps—text normalization, tokenization, stopword More >