S. Dilip Kumar^1,*, T. V. Sivasubramonia Pillai²

Computer Systems Science and Engineering, Vol.41, No.1, pp. 19-33, 2022, DOI:10.32604/csse.2022.019366 - 08 October 2021

Abstract Fuel is a very important factor and has considerable influence on the air quality in the environment, which is the heart of the world. The increase of vehicles in lived-in areas results in greater emission of carbon particles in the environment. Adulterated fuel causes more contaminated particles to mix with breathing air and becomes the main source of dangerous pollution. Adulteration is the mixing of foreign substances in fuel, which damages vehicles and causes more health problems in living beings such as humans, birds, aquatic life, and even water resources by emitting high levels of… More >

Tong Gan¹, Shi-You Wang¹, Qiang Ma¹, Yi-Dong Jia^2,*, Yun-Yun Ma³

Computer Systems Science and Engineering, Vol.41, No.1, pp. 321-337, 2022, DOI:10.32604/csse.2022.019244 - 08 October 2021

Abstract The rapid growth of mobile data traffic has caused great pressure on the limited spectrum resources, and there must be some better methods to deal with this problem. The innovative technology of Long-Term Evolution (LTE) using the unlicensed spectrum, known as LTE-Unlicensed (LTE-U), has been proposed to effectively alleviate the shortage of authorized band resources. LTE-U has explored a lot of potential capacity in mobile communication systems with limited authorized spectrum resources, and improved the spectrum utilization of unauthorized frequency bands. However, LTE-U is still facing challenges in its application. In this paper, we summarize… More >

SICONG WANG¹, RUIJIN LIU², QIUYUAN HAN², KAIJIANG YU^3,*

BIOCELL, Vol.46, No.1, pp. 149-158, 2022, DOI:10.32604/biocell.2021.013027 - 29 September 2021

Abstract Acute kidney injury (AKI), commonly occurring as complications of sepsis, cardiac surgery, and liver or kidney transplantation, is a critical care syndrome. It is well known that lipopolysaccharide (LPS) shock is a common triggering factor for AKI. This study is aimed to examine the effect of flavonoid compound hispidulin on LPS-induced AKI. For this, renal tubular epithelial cell HK-2 was treated with LPS to establish an in vitro model of AKI. The effect of hispidulin on HK-2 cell viability was examined using CCK-8 assay. Cell apoptosis was determined by TUNEL and flow cytometry. Apoptosis marker proteins… More >

ALI H. ABU ALMAATY¹, BASMA M. HENDAM², FAYEZ ALTHOBAITI³, EMAN FAYAD^3,*, YASMIN M. ABD EL-AZIZ¹

BIOCELL, Vol.46, No.1, pp. 219-234, 2022, DOI:10.32604/biocell.2022.017623 - 28 September 2021

Abstract The hepatotoxic effect of potassium bromide (KBr) on rat liver tissues were determined, as well as the potential protective effect of Tegillaraca granosa (T. granosa) flesh body extract. Twenty adult male albino rats were equally distributed into four groups; Group (I) treated with physiological saline (control group), Group (II) was orally gavaged by 200 mg/kg of T. granosa body extract day after day, Group (III) was intoxicated by KBr (150 mg/kg bwt day after day orally) and finally, Group (IV) was given a combination of T. granosa flesh body extract plus KBr with similar doses in the second and… More >

JIANRONG YANG^1,#, WAN CHEN^2,#, XING ZHOU^3,#, YAOXUAN LI^4,#, ZHIHUANG NONG⁵, LIYUAN ZHOU⁴, XUAN WEI⁴, XIAORONG PAN⁶, CHUNXIA CHEN⁷, WENSHENG LU³

BIOCELL, Vol.46, No.1, pp. 137-148, 2022, DOI:10.32604/biocell.2022.016807 - 28 September 2021

Abstract In this study, we investigated the protective effect of hyperbaric oxygen (HBO) on PC12 and H9C2 cell damage caused by oxygen-glucose deprivation/reperfusion and its possible mechanism. PC12 and H9C2 cell oxygen-glucose deprivation/reperfusion model were established. Cells were divided into a control group, model group, hyperbaric air (HBA) group and HBO group. The cell viability was detected by the CCK8 assay. Hoechst 33342 and PI staining assays and mitochondrial membrane potential (MMP) assays were used to detect cell apoptosis. The ultrastructure of cells, including autophagosomes, lysosomes, and apoptosis, were examined using a transmission electron microscope. The… More >

MUBASHIR HUSSAIN¹, ZEESHAN ALI¹, BIN LIU², JIANGUO DAI¹, XIAOLONG LIU¹, JUNCHEN ZHU¹, YONGJUN TANG¹

BIOCELL, Vol.46, No.1, pp. 61-74, 2022, DOI:10.32604/biocell.2022.016392 - 28 September 2021

Abstract Dengue virus infections are increasing worldwide generally and in Asia, Central and South America and Africa, particularly. It poses a serious threat to the children population. The rapid and accurate diagnostic systems are essentially required due to lack of effective vaccine against dengue virus and the progressive spread of the dengue virus infection. The recent progress in developing micro- and nano-fabrication techniques has led to low cost and scale down the biomedical point-of-care devices. Starting from the conventional and modern available methods for the diagnosis of dengue infection, this review examines several emerging rapid and More >

LUPING YANG^1,#, YIJING JIANG^2,#, XIAOQIAN YE^3,#, YONGMEI YOU², LING LIN², JING LIAN², JUAN LI¹, SHANLI YANG², XIEHUA XUE²

BIOCELL, Vol.46, No.1, pp. 235-245, 2022, DOI:10.32604/biocell.2022.014997 - 28 September 2021

Abstract ATP depletion is one of the pathological bases in cerebral ischemia. Electro-acupuncture (EA) is widely used in clinical practice for ischemia. However, the mechanism of EA remains unclear. The purpose of this study was to investigate whether EA could activate the AMPK/PGC-1α/TFAM signaling pathway and, consequently, increase the preservation of ATP in rats with ischemia. In this study, 48 rats were randomly divided into four groups as a sham-operation control group (sham group), a middle cerebral artery occlusion group (MCAO group), an EA group, and an EA group blocked by the AMPK inhibitor compound C… More >

Hassen Mestiri^1,2,3,*, Imen Barraj^4,5, Abdullah Alsir Mohamed¹, Mohsen Machhout³

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3667-3683, 2022, DOI:10.32604/cmc.2022.020716 - 27 September 2021

Abstract The Advanced Encryption Standard cryptographic algorithm, named AES, is implemented in cryptographic circuits to ensure high security level to any system which required confidentiality and secure information exchange. One of the most effective physical attacks against the hardware implementation of AES is fault attacks which can extract secret data. Until now, a several AES fault detection schemes against fault injection attacks have been proposed. In this paper, so as to ensure a high level of security against fault injection attacks, a new efficient fault detection scheme based on the AES architecture modification has been proposed.… More >

Jae-Hyun Ro¹, Jong-Gyu Ha², Woon-Sang Lee², Young-Hwan You³, Hyoung-Kyu Song^2,*

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3625-3636, 2022, DOI:10.32604/cmc.2022.020596 - 27 September 2021

Abstract This paper proposes the multiple-input multiple-output (MIMO) detection scheme by using the deep neural network (DNN) based ensemble machine learning for higher error performance in wireless communication systems. For the MIMO detection based on the ensemble machine learning, all learning models for the DNN are generated in offline and the detection is performed in online by using already learned models. In the offline learning, the received signals and channel coefficients are set to input data, and the labels which correspond to transmit symbols are set to output data. In the online learning, the perfectly learned More >

Ahmed Abdullah Alqarni¹, Nizar Alsharif¹, Nayeem Ahmad Khan^1,*, Lilia Georgieva², Eric Pardade³, Mohammed Y. Alzahrani¹

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4075-4085, 2022, DOI:10.32604/cmc.2022.020389 - 27 September 2021

Abstract The rapid growth and uptake of network-based communication technologies have made cybersecurity a significant challenge as the number of cyber-attacks is also increasing. A number of detection systems are used in an attempt to detect known attacks using signatures in network traffic. In recent years, researchers have used different machine learning methods to detect network attacks without relying on those signatures. The methods generally have a high false-positive rate which is not adequate for an industry-ready intrusion detection product. In this study, we propose and implement a new method that relies on a modular deep More >