Qian Yin^1,2,3, Yujing Jiang^2,3,*, Richeng Liu^1,3

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.2, pp. 437-441, 2021, DOI:10.32604/cmes.2021.015432 - 21 January 2021

Abstract This article has no abstract. More >

Adeeb M. Alhomoud^*

Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 69-88, 2021, DOI:10.32604/iasc.2021.014773 - 07 January 2021

Abstract This research article provides an up-to-date review of spatial-domain steganography. Maintaining the communication as secure as possible when transmitting secret data through any available communication channels is the target of steganography. Currently, image steganography is the most developed field, with several techniques are provided for different image formats. Therefore, the general image steganography including the fundamental concepts, the terminology, and the applications are highlighted in this paper. Further, the paper depicts the essential characteristics between information hiding and cryptography systems. In addition, recent well-known techniques in the spatial-domain steganography, such as LSB and pixel value More >

Shwet Ketu^*, Pramod Kumar Mishra

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1896-1919, 2021, DOI:10.32604/cmc.2020.012423 - 26 November 2020

Abstract Infections or virus-based diseases are a significant threat to human societies and could affect the whole world within a very short time-span. Corona Virus Disease-2019 (COVID-19), also known as novel coronavirus or SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2), is a respiratory based touch contiguous disease. The catastrophic situation resulting from the COVID-19 pandemic posed a serious threat to societies globally. The whole world is making tremendous efforts to combat this life-threatening disease. For taking remedial action and planning preventive measures on time, there is an urgent need for efficient prediction models to confront the COVID-19 outbreak.… More >

Clarissa M. Gurbani¹, Vincent Khor², Jeffrey J. Leow¹, Melissa H.W. Tay³, Yew-Lam Chong¹

Canadian Journal of Urology, Vol.27, No.3, pp. 10270-10272, 2020

Abstract Wunderlich syndrome (WS) is a rare triad of flank pain, flank mass and hypovolemic shock and is classically attributed to angiomyolipomata or neoplasms. Treatment is guided by clinical severity: conservative, selective arterial embolization, or nephrectomy. We report an atypical case of a 69-year old man with a pre-existing 9 cm left renal tumor who developed WS secondary to anticoagulation and simple cyst rupture from his contralateral kidney, complicated by abdominal compartment syndrome with hemodynamic instability despite inotropic support and robust resuscitation. Early recognition and source control via radical nephrectomy were essential in securing a positive More >

Christina Shaw¹, Jacky Cahill², Adrian Wagg^1,2

Canadian Journal of Urology, Vol.27, No.4, pp. 10300-10305, 2020

Abstract Introduction: Data on the prevalence of lower urinary tract symptoms (LUTS) and urinary incontinence (UI) in Canada are dated. This study aims to describe the current prevalence of LUTS and UI, to assess the state of knowledge of these conditions, the treatment for them and the treatment experience of symptomatic persons.
Materials and methods: A nationally representative adult (≥ 18 years) sample was surveyed using a questionnaire based on the EPIC study. The margin of error associated with this probability-based sample was +/-3.1%, 19 times out of 20.
Results: Of the 1000 people contacted (52% female, 48% male),… More >

Heming Lu^*†1, Yuying Wu^‡1, Xu Liu^†, Huixian Huang^†, Hailan Jiang^†, Chaohua Zhu^†, Yuping Man^§, Zhaohong Chen^†, Xianfeng Long^†, Qiang Pang^†, Luxing Peng^†, Xianglong Li^†, Junzhao Gu^†, Shan Deng^†, Ligang Xing^*

Oncology Research, Vol.28, No.9, pp. 929-944, 2020, DOI:10.3727/096504021X16318716607908

Abstract This phase II randomized clinical trial aimed to assess the efficacy and toxicity of Endostar, an antiangiogenesis inhibitor, combined with concurrent chemoradiotherapy (CCRT) for locally advanced cervical cancer (LACC). Patients with LACC were randomly assigned to either CCRT plus Endostar (CCRT+E arm) or CCRT alone (CCRT arm). All patients received pelvic intensity-modulated radiation therapy (IMRT) and brachytherapy. Weekly cisplatin was administered concurrently with IMRT. Patients in the CCRT+E arm also received concurrent Endostar every 3 weeks for two cycles. The primary endpoint was progression-free survival (PFS) and acute toxicities. The exploratory endpoint was the impact… More >

AFRAH ALKHURIJI¹, ATEKAH ABDULLAH MOHAMMED ALRAQIBAH¹, AMAAL AWAD ALHARBI¹, ZENEB BABAY², FATIMAH BASIL AL-MUKAYNIZI³, ARWA ALTHOMALI³, SONYA S. ABDEL-RAZEQ⁴, ARJUMAND S. WARSY⁵

BIOCELL, Vol.44, No.4, pp. 613-621, 2020, DOI:10.32604/biocell.2020.09652 - 24 December 2020

Abstract Methylenetetrahydrofolate reductase (MTHFR) deficiency is the most common genetic cause of hyperhomocysteinemia, which has been implicated in the etiology of recurrent spontaneous abortion (RSA). This study was designed to investigate the association between two single nucleotide polymorphisms (SNP) (rs1801133 [C677T] and rs1801131 [A1298C]) in the MTHFR gene and RSA, in Saudis. These two SNPs were selected as these polymorphisms have a different effect on the activity and stability of the enzyme, and significantly diverse effects have been reported in relation to the association with RSA. Ethical approval was acquired from the IRB at King Saud… More >

Rohit S. Loomba^1,2, Enrique G. Villarreal^3,*, Riddhi Patel¹, Samantha Udarbe¹, Vincent Dorsey¹, Kristen Nelson-McMillan^1,4, Saul Flores^5,6

Congenital Heart Disease, Vol.15, No.6, pp. 447-455, 2020, DOI:10.32604/CHD.2020.012927 - 02 November 2020

Abstract Introduction: In children, data on the effects on carnitine supplementation and myocardial function are limited. A few studies have investigated the relationship between serum carnitine levels in the setting of depressed cardiac function and have demonstrated possible benefits. As such, this systematic review and meta-analyses aimed to assess the effects carnitine supplementation on left ventricular function. Materials and Methods: A systematic review of the literature was performed to identify full text manuscripts in English. PubMed, EMBASE, and the Cochrane databases were queried. Studies were included with data from pediatric patients, that used carnitine supplementation and included preand… More >

Miaohong Su¹, Haiying Dong^1,2,*, Kaiqi Liu¹, Weiwei Zou¹

Energy Engineering, Vol.117, No.6, pp. 439-452, 2020, DOI:10.32604/EE.2020.011805 - 16 October 2020

Abstract A subsynchronous oscillation suppression strategy based on self-adaptive auto disturbance rejection proportional integral controller is proposed for doublyfed induction generator-based wind farm integrated into grid through voltage source converter based multi-terminal direct current. In this strategy, the nonlinear PI controller is constructed by fal function to replace the traditional linear PI controller, and then the tracking differentiator is used to arrange the appropriate transition process in combination with the idea of active disturbance rejection control, and the self-adaptive auto disturbance rejection proportional integral controller is designed. By applying the controller to the inner loop of the… More >

Weiwen Kong¹, Baowei Wang^1,2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 849-863, 2020, DOI:10.32604/cmes.2020.012818 - 12 October 2020

Abstract Internet of Things (IoT) is a network that connects things in a special union. It embeds a physical entity through an intelligent perception system to obtain information about the component at any time. It connects various objects. IoT has the ability of information transmission, information perception,andinformationprocessing.Theairqualityforecastinghasalways been an urgent problem, which affects people’s quality of life seriously. So far, many air quality prediction algorithms have been proposed, which can be mainly classifed into two categories. One is regression-based prediction, the other is deep learning-based prediction. Regression-based prediction is aimed to make use of the classical… More >