SACHIN SINGH^a, MUKTI TYAGI^a,*, AJAY KUMAR TYAGI^a, PRAVEEN KUMAR KAICKER^a, LALIT VARSHNEY^b

Journal of Polymer Materials, Vol.36, No.4, pp. 305-321, 2019, DOI:10.32381/JPM.2019.36.04.2

Abstract Graphite is the most suitable material as dry lubricant. However, its application as a lubricant is limited with necessity of moisture vapors. Alternatively, polytetrafluoroethylene (PTFE) has an excellent lubrication property but does not have mechanical characteristics. The effect of gamma radiation doses on the lubrication behavior of graphite –PTFE (Inoflon A-408) system has been studied using (TR-TW-30L) tribotester with thrust washer attachment. Different compositions of graphite and PTFE were prepared and irradiated by gamma rays. Improved tribological properties of graphite –PTFE system showed by decrease in coefficient of friction and wear. SEM-EDX, XRD and contact angle analysis confirm fluorination of… More >

SUBRATA PAL^1,2, BHUVNESHWAR RAI¹, AJAY KUMAR TYAGI¹, SUNITA RATTAN², VIRENDRA KUMAR³

Journal of Polymer Materials, Vol.39, No.1-2, pp. 55-70, 2022, DOI:10.32381/JPM.2022.39.1-2.4

Abstract The present work is focused on the study of antimicrobial and water absorption properties of the surface of grafted rayon fiber with quaternary ammonium-based salts containing 3- Acrylamidopropyl trimethyl ammonium chloride (APTAC) monomer induced by gamma radiation. Grafting was qualitatively confirmed by FTIR-ATR,TGA, SEM and by calculating grafting yield and grafting efficiency. The performance was examined for water absorbency and antibacterial efficacy (R) against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). Study showed that water absorption, grafting yield and grafting efficiency increased steadily with the increase in monomer concentration and absorbed gamma irradiation dose up to a certain… More >

YANAN MA¹, SHANSHAN WANG^2,*, HUIGUO DING^1,*

BIOCELL, Vol.48, No.3, pp. 463-471, 2024, DOI:10.32604/biocell.2024.048244

Abstract Background: Hepatocellular carcinoma (HCC) is a common malignant tumor with poor prognosis and high mortality worldwide. Although cystathionine-gamma-lyase (CSE) plays an important role in the development of multiple tumors, the clinical implication and potential mechanisms of CSE in HCC development remain elusive. Methods: In our study, the CSE expression in HCC was analyzed in Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) datasets and further confirmed by RT-qPCR and immunohistochemistry assays in HCC samples. Furthermore, the associations between CSE expression and HCC malignancy as well as survival were analyzed in GSE14520 and validated in HCC patients. Finally, the… More >

Jason Elroy Martis¹, Sannidhan Manjaya Shetty^2,*, Manas Ranjan Pradhan³, Usha Desai⁴, Biswaranjan Acharya^5,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 915-938, 2023, DOI:10.32604/cmc.2023.038847

Abstract In the past, sketches were a standard technique used for recognizing offenders and have remained a valuable tool for law enforcement and social security purposes. However, relying on eyewitness observations can lead to discrepancies in the depictions of the sketch, depending on the experience and skills of the sketch artist. With the emergence of modern technologies such as Generative Adversarial Networks (GANs), generating images using verbal and textual cues is now possible, resulting in more accurate sketch depictions. In this study, we propose an adversarial network that generates human facial sketches using such cues provided by an observer. Additionally, we… More >

Xiaoyan Zhao^1,*, Lin Zhou², Yue Xie¹, Ying Tong¹, Jingang Shi³

Intelligent Automation & Soft Computing, Vol.36, No.3, pp. 3087-3100, 2023, DOI:10.32604/iasc.2023.030180

Abstract Speech separation is an active research topic that plays an important role in numerous applications, such as speaker recognition, hearing prosthesis, and autonomous robots. Many algorithms have been put forward to improve separation performance. However, speech separation in reverberant noisy environment is still a challenging task. To address this, a novel speech separation algorithm using gate recurrent unit (GRU) network based on microphone array has been proposed in this paper. The main aim of the proposed algorithm is to improve the separation performance and reduce the computational cost. The proposed algorithm extracts the sub-band steered response power-phase transform (SRP-PHAT) weighted… More >

Sebastián Muñoz-Guerra^*, Montserrat García-Alvarez, José A. Portilla-Arias

Journal of Renewable Materials, Vol.1, No.1, pp. 42-60, 2013, DOI:10.7569/JRM.2012.634105

Abstract Poly(γ-glutamic acid) (PGGA) is an edible polypeptide excreted by certain bacteria that is presently accessible on a semi-industrial scale. Chemically, it is a nylon 4 derivative bearing a carboxylic side group attached to the fourth carbon of the repeating unit. Although this biopolymer is being exploited in the food, agriculture and cosmetic sectors, its use in massive applications as packaging or coating is still unknown mainly due to its instability in wet environments and unsuitability to be processed by common techniques. Chemical modifi cation of PGGA involving esterifi cation or amidation of the carboxylic group is the approach explored the… More >

Navleen S Rekhi^1,2,*, Jagroop S Sidhu², Amit Arora²

Computer Systems Science and Engineering, Vol.44, No.3, pp. 2791-2807, 2023, DOI:10.32604/csse.2023.026976

Abstract Due to improper acquisition settings and other noise artifacts, the image degraded to yield poor mean preservation in brightness. The simplest way to improve the preservation is the implementation of histogram equalization. Because of over-enhancement, it failed to preserve the mean brightness and produce the poor quality of the image. This paper proposes a multi-scale decomposition for brightness preservation using gamma correction. After transformation to hue, saturation and intensity (HSI) channel, the 2D- discrete wavelet transform decomposed the intensity component into low and high-pass coefficients. At the next phase, gamma correction is used by auto-tuning the scale value. The scale… More >

Giuseppe Emmanuele Umana^1,*, Gianluca Ferini², Antonio Crea¹, Bipin Chaurasia³, Vishal Chavda⁴, Leonardo Corbino¹, Daniele Franceschini¹, Maria Grazia Tranchina⁵, Marco Fricia¹, Francesca Graziano⁶, Giovanni Federico Nicoletti⁶, Salvatore Cicero¹, Gianluca Scalia⁶

Oncologie, Vol.24, No.2, pp. 341-348, 2022, DOI:10.32604/oncologie.2022.021347

Abstract Concomitant acute epidural hematoma (EDH) and subdural hematoma (SDH) is a rare finding, and its bilateral onset has not yet been reported in literature. We present the first report of a patient affected by post-traumatic concomitant EDH and SDH, with the contralateral, delayed onset of another, associated with meningioma previously treated with gamma knife. A 60-year-old female patient with a history of simple focal seizures with motor symptoms and well-controlled by drugs since childhood, arterial hypertension, and incidental diagnosis of multiple meningiomas was referred to our department after falling down the stairs. Initially, the patient was prescribed gamma knife treatment… More >

Waqar Hafeez¹, Nazrina Aziz^1,2,*

Computer Systems Science and Engineering, Vol.44, No.2, pp. 1069-1079, 2023, DOI:10.32604/csse.2023.022047

Abstract Acceptance sampling is used to decide either the whole lot will be accepted or rejected, based on inspection of randomly sampled items from the same lot. As an alternative to traditional sampling plans, it is possible to use Bayesian approaches using previous knowledge on process variation. This study presents a Bayesian two-sided group chain sampling plan (BTSGChSP) by using various combinations of design parameters. In BTSGChSP, inspection is based on preceding as well as succeeding lots. Poisson function is used to derive the probability of lot acceptance based on defective and non-defective products. Gamma distribution is considered as a suitable… More >

Norah Saleh Alghamdi¹, Sami Bourouis^2,*, Nizar Bouguila³

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1139-1156, 2022, DOI:10.32604/cmc.2022.022959

Abstract Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security applications. In particular, recognizing human activities with accurate results have become a topic of high interest. Although the current tools have reached remarkable successes, it is still a challenging problem due to various uncontrolled environments and conditions. In this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some real-world applications. In particular, two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are developed.… More >