XIAOBI HUANG^1,#, CHUNYUAN CHEN², YONGYANG CHEN^1,#, HONGLIAN ZHOU¹, YONGHUA CHEN¹, ZHONG HUANG¹, YULIU XIE¹, BAIYANG LIU¹, YUDONG GUO¹, ZHIXIONG YANG¹, GUANGHUA CHEN^3,*, WENMEI SU^1,4,*

Oncology Research, Vol.32, No.7, pp. 1185-1195, 2024, DOI:10.32604/or.2023.030771

Abstract Background: Long non-coding RNAs are important regulators in cancer biology and function either as tumor suppressors or as oncogenes. Their dysregulation has been closely associated with tumorigenesis. LINC00265 is upregulated in lung adenocarcinoma and is a prognostic biomarker of this cancer. However, the mechanism underlying its function in cancer progression remains poorly understood. Methods: Here, the regulatory role of LINC00265 in lung adenocarcinoma was examined using lung cancer cell lines, clinical samples, and xenografts. Results: We found that high levels of LINC00265 expression were associated with shorter overall survival rate of patients, whereas knockdown of LINC00265 inhibited proliferation… More >

Chen Chen^1,2, Zhongwei Xu¹, Meng Mei^1,*, Kai Huang³, Siu Ming Lo²

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4533-4549, 2024, DOI:10.32604/cmc.2024.048995

Abstract Railway switch machine is essential for maintaining the safety and punctuality of train operations. A data-driven fault diagnosis scheme for railway switch machine using tensor machine and multi-representation monitoring data is developed herein. Unlike existing methods, this approach takes into account the spatial information of the time series monitoring data, aligning with the domain expertise of on-site manual monitoring. Besides, a multi-sensor fusion tensor machine is designed to improve single signal data’s limitations in insufficient information. First, one-dimensional signal data is preprocessed and transformed into two-dimensional images. Afterward, the fusion feature tensor is created by More >

Camden L. Hebson^1,*, Kyle Bliton², Amr Y. Hammouda¹, Kaitlyn Barr³, W. Hampton Gray⁴, Mohini Gunnett², Waldemar F. Carlo¹

Congenital Heart Disease, Vol.19, No.2, pp. 185-195, 2024, DOI:10.32604/chd.2024.048871

Abstract D-transposition of the great arteries (d-TGA) is surgically repaired with the arterial switch operation (ASO) with excellent results, however short and long-term morbidities still develop including neurocognitive delay. Clinically significant central sleep apnea is uncommon in non-premature infants, but when present indicates immature autonomic control of respiration likely due to a neurologic disorder. We report the unanticipated finding of central sleep apnea in four-term neonates with d-TGA after uncomplicated ASO, with the short-term complication of delayed hospital discharge and long-term concerns regarding this early marker of brain immaturity and its hindrance to normal development. Within More >

BAOHAI PAN^1,2, JUNCHENG HUANG¹, LAI CHEN², FEI LIU^1,*, CHEN JING, HAINING NA^1,*, JIN ZHU¹

Journal of Polymer Materials, Vol.37, No.1-2, pp. 17-27, 2020, DOI:10.32381/JPM.2020.37.1-2.2

Abstract A switchable CO₂ /1,8-diazabicyclo[5.4.0]undec-7-ene (DBU)/dimethyl sulfoxide (DMSO) solvent system is applied to prepare corn cellulose film with controllable mechanical property. By use of the switchable CO₂ /DBU/DMSO system, a rather simple process concerning reacted dissolution and heated precipitation controlled by addition and releasing of CO₂ respectively, to prepare corn cellulose film, is formed. Results exhibit the degree of dissolution of corn cellulose is easily controlled just by adjusting the feeding amount of DBU in the switchable solvent system. Accordingly, some undissolved part of corn cellulose with relative high crystallinity can be appropriately retained to contribute to the More >

Yumin Jo¹, Jongho Paik^2,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 4153-4176, 2024, DOI:10.32604/cmc.2024.047046

Abstract Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input stream. However, when the transmission environment is unstable, problems such as reduction in the lifespan of equipment due to frequent switching and interruption, delay, and stoppage of services may occur. Therefore, applying a machine learning (ML) method, which is possible to automatically judge and classify network-related service anomaly, and switch multi-input signals without dropping or changing signals by predicting or quickly determining the time of error occurrence for smooth stream switching when… More >

Michael A. Rebolledo^1,*, Jane S. Yao², Jason N. Johnson¹, Umar S. Boston³, Benjamin R. Waller III¹

Congenital Heart Disease, Vol.19, No.1, pp. 65-68, 2024, DOI:10.32604/chd.2024.046638

Abstract We describe a 63-year-old male who appears to have undergone an early form of the arterial switch operation for D-transposition of the great arteries performed in the mid-1960s. We review the clinical and imaging data that support our conclusion. He had a diagnostic cardiac catheterization which demonstrated severe pulmonary hypertension responsive to epoprostenol and oxygen. Our case may represent one example of the experimental surgical work done prior to Dr. Adibe Jatene’s description of the first successful arterial switch performed in 1975. More >

Rizwan Iqbal^1,*, Rashid Hussain², Sheeraz Arif³, Nadia Mustaqim Ansari⁴, Tayyab Ahmed Shaikh²

CMC-Computers, Materials & Continua, Vol.77, No.2, pp. 1575-1598, 2023, DOI:10.32604/cmc.2023.042432

Abstract Software-Defined Networking (SDN) is a new network technology that uses programming to complement the data plane with a control plane. To enable safe connection, however, numerous security challenges must be addressed. Flooding attacks have been one of the most prominent risks on the internet for decades, and they are now becoming challenging difficulties in SDN networks. To solve these challenges, we proposed a unique firewall application built on multiple levels of packet filtering to provide a flooding attack prevention system and a layer-based packet detection system. This study offers a systematic strategy for wrapping up… More >

Yong Zhang^1,*, Jie Wang^2,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09368

Abstract Ferroelectric materials have been widely used in various electromechanical devices such as sensors, actuators, transducers and energy storage devices due to their distinguished electromechanical coupling properties. Ferroelectric materials usually bear large mechanical loads and high electric fields in order to give full play to their potential. The interaction between fracture and dielectric breakdown is able to occur since the filler inside a crack will change the dielectric behaviors around it and dielectric breakdown can change the local mechanical properties of dielectric materials because of its weakening of chemical bonds. Therefore, a comprehensive and in-depth understanding… More >

Xu Yang^1,2, Jing Zhang^1,2, Chuanxian Luo^1,2, Qinqing Huang^1,2, Hui Xu^1,2, Guozhi Zhang^1,2,*

Energy Engineering, Vol.120, No.9, pp. 2115-2132, 2023, DOI:10.32604/ee.2023.027198

Abstract In response to the problem of frequent leakage and false alarm of partial discharge insulation defects in GIS, this paper conducts experimental research on intermittent discharge characteristics of common solid insulation defects in GIS. Using true GIS to build a multi-source testing platform for intermittent discharge of solid insulation defects, and using pulse current method, ultra-high frequency method, ultrasonic method, and gas characteristic component detection method to study the variation law of intermittent discharge characteristics of solid insulation defects. The results show that: the intermittent discharge state of metal fouling defects on the solid insulation… More >

Wei Zhang¹, Bin Ji², Ping He¹, Nanqin Wang¹, Yuwei Wang¹, Mengzhe Zhang^2,*

Energy Engineering, Vol.120, No.9, pp. 2177-2192, 2023, DOI:10.32604/ee.2023.026504

Abstract Power flow calculation is the basis of power grid planning and many system analysis tasks require convergent power flow conditions. To address the unsolvable power flow problem caused by the reactive power imbalance, a method for adjusting reactive power flow convergence based on deep reinforcement learning is proposed. The deep reinforcement learning method takes switching parallel reactive compensation as the action space and sets the reward value based on the power flow convergence and reactive power adjustment. For the non-convergence power flow, the 500 kV nodes with reactive power compensation devices on the low-voltage side More >