Arfa Siddiqu, Abdul Basit^*, Waheed Noor, Muhammad Asfandyar Khan, M. Saeed H. Kakar, Azam Khan

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 875-885, 2023, DOI:10.32604/iasc.2023.036426

Abstract The optical character recognition for the right to left and cursive languages such as Arabic is challenging and received little attention from researchers in the past compared to the other Latin languages. Moreover, the absence of a standard publicly available dataset for several low-resource languages, including the Pashto language remained a hurdle in the advancement of language processing. Realizing that, a clean dataset is the fundamental and core requirement of character recognition, this research begins with dataset generation and aims at a system capable of complete language understanding. Keeping in view the complete and full autonomous recognition of the cursive… More >

Turki M. Alanazi^*

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3343-3354, 2023, DOI:10.32604/iasc.2023.036411

Abstract Detecting and recognizing text from natural scene images presents a challenge because the image quality depends on the conditions in which the image is captured, such as viewing angles, blurring, sensor noise, etc. However, in this paper, a prototype for text detection and recognition from natural scene images is proposed. This prototype is based on the Raspberry Pi 4 and the Universal Serial Bus (USB) camera and embedded our text detection and recognition model, which was developed using the Python language. Our model is based on the deep learning text detector model through the Efficient and Accurate Scene Text Detector… More >

Xinliang Tang¹, Caixing Wang¹, Jingfang Su^1,*, Cecilia Taylor²

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 117-131, 2023, DOI:10.32604/cmc.2023.033327

Abstract Fast recognition of elevator buttons is a key step for service robots to ride elevators automatically. Although there are some studies in this field, none of them can achieve real-time application due to problems such as recognition speed and algorithm complexity. Elevator button recognition is a comprehensive problem. Not only does it need to detect the position of multiple buttons at the same time, but also needs to accurately identify the characters on each button. The latest version 5 of you only look once algorithm (YOLOv5) has the fastest reasoning speed and can be used for detecting multiple objects in… More >

ASPASIA MANTA¹, SPYRIDON KAZANAS², STEFANOS KARAMAROUDIS³, HELEN GOGAS², DIMITRIOS C. ZIOGAS^2,*

Oncology Research, Vol.30, No.5, pp. 211-219, 2022, DOI:10.32604/or.2022.026913

Abstract Epigenetic mechanisms, such as DNA methylation and histone modifications (e.g., acetylation and deacetylation), are strongly implicated in the carcinogenesis of various malignancies. During transcription, the expression and functionality of coding gene products are altered following the histone acetylation and deacetylation. These processes are regulated by histone acetyltransferases (HATs) and histone deacetylases (HDACs), respectively. HDAC inhibitors (HDACis) have been developed as promising therapeutic agents, to limit exposure to traditional and toxic chemotherapies and offer more alternatives for some specific malignant diseases with limited options. Mechanistically, these agents affect many intracellular pathways, including cell cycle arrest, apoptosis and differentiation, and their mechanism… More >

Ahmed Ben Atitallah^1,*, Mohamed Amin Ben Atitallah^2,3, Yahia Said^4,5, Mohammed Albekairi¹, Anis Boudabous⁶, Turki M. Alanazi¹, Khaled Kaaniche¹, Mohamed Atri⁷

Computer Systems Science and Engineering, Vol.46, No.1, pp. 701-717, 2023, DOI:10.32604/csse.2023.035871

Abstract The challenge faced by the visually impaired persons in their day-to-day lives is to interpret text from documents. In this context, to help these people, the objective of this work is to develop an efficient text recognition system that allows the isolation, the extraction, and the recognition of text in the case of documents having a textured background, a degraded aspect of colors, and of poor quality, and to synthesize it into speech. This system basically consists of three algorithms: a text localization and detection algorithm based on mathematical morphology method (MMM); a text extraction algorithm based on the gamma… More >

Fei Wang¹, Jihyun Ma², Nan Zhao³, Chi Lin^3,*, Haixing Jiang^1,*

Oncologie, Vol.24, No.4, pp. 865-895, 2022, DOI:10.32604/oncologie.2022.025447

Abstract Objective: The characteristics of clinical features and prognoses among patients with different racial backgrounds have not been clearly studied. We thus investigated the clinical characteristics and overall survival (OS) differences among Asian, White, and Black patients with pancreatic neuroendocrine tumors (pNETs). Materials and Methods: The Surveillance, Epidemiology, and End Results (SEER) database was queried to identify patients with pNETs between 1983 and 2015. We performed univariable (UVA) and multivariable logistic regression (MVA) to assess the association between variables and race category. A Kaplan-Meier (KM) plot was used to calculate the OS rates. The Cox proportional hazard regression was used to… More >

Salah Alghyaline^*

CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 1825-1861, 2023, DOI:10.32604/cmes.2022.024555

Abstract This study aims to review the latest contributions in Arabic Optical Character Recognition (OCR) during the last decade, which helps interested researchers know the existing techniques and extend or adapt them accordingly. The study describes the characteristics of the Arabic language, different types of OCR systems, different stages of the Arabic OCR system, the researcher’s contributions in each step, and the evaluation metrics for OCR. The study reviews the existing datasets for the Arabic OCR and their characteristics. Additionally, this study implemented some preprocessing and segmentation stages of Arabic OCR. The study compares the performance of the existing methods in… More >

Shoushi Wang¹, Jingping Shi², Ruike Sheng¹, Si Yu¹, Wei Xu^1,*

International Journal of Mental Health Promotion, Vol.24, No.6, pp. 933-944, 2022, DOI:10.32604/ijmhp.2022.023083

Abstract Academic procrastination among adolescents is an increasingly prominent problem. It is important to look for influences behind academic procrastination in the adolescent population. The present study aimed to reveal the explanatory mechanisms underlying the association between hope and academic procrastination behaviors among Chinese adolescents by testing the mediating role of attentional control and the moderating role of trait mindfulness. Participants in the current study were 1156 Chinese adolescents who completed self-report questionnaires on hope, attentional control, academic procrastination, and trait mindfulness. The results indicated that adolescent hope was negatively related to academic procrastination and that attentional control partially mediated this… More >

Antonio J. F. Carvalho

Journal of Renewable Materials, Vol.2, No.2, pp. 118-122, 2014, DOI:10.7569/JRM.2014.634108

Abstract Two nanocelluloses from eucalyptus, namely microfi brillated cellulose (MFC) and cellulose nanocrystals (CNC), were prepared and compared by transmission electron microscopy (TEM). The MFC fi bers are 20–30 nm wide and are composed of very homogeneous bundles of aligned regular elementary fi brils of 3–5 nm diameter. They show long straight portions and short fl exible zones, attributed to crystalline and amorphous zones, respectively. The needle-shaped CNC was approximately 200 nm long and 10 nm wide in the wider portion. A model for the MFC structure, whose fl exible zones are formed by alignment of the amorphous portion of the… More >

Marta Martínez-Sanz, Amparo López-Rubio, Maria José Fabra, José M. Lagaron^*

Journal of Renewable Materials, Vol.2, No.2, pp. 107-117, 2014, DOI:10.7569/JRM.2014.634106

Abstract Due to their high crystallinity and aspect ratio, bacterial cellulose nanowhiskers (BCNW) represent an appealing choice for the development of fully biobased nanocomposite materials with high barrier performance. However, their strong tendency to self-associate, together with their highly hydrophilic character, has restricted the production of nanocomposites containing cellulose nanowhiskers by industrial processing techniques such as melt compounding. Th is article presents an overview of the latest published results carried out within our group and also in other relevant literature, which have led to the development of an effi cient strategy for the incorporation of highly dispersed BCNW by melt compounding… More >