A. Sattar^1,*, A. Sher^1,*, M. Ijaz¹, M. Irfan², M. Butt¹, T. Abbas¹, S. Hussain², A. Abbas¹, M. S. Ullah³, M. A. Cheema⁴

Phyton-International Journal of Experimental Botany, Vol.88, No.4, pp. 379-388, 2019, DOI:10.32604/phyton.2019.04784

Abstract Application of biochar to agricultural soils is mostly used to improve soil fertility. Experimental treatments were comprised of two factors: i) drought at two level, i.e., 80% and 40% water holding capacity (WHC) which was maintained on gravimetric basis ii) three levels of biochar i.e., control, 2 t ha^-1 and 4 t ha^-1 added to soil. Experimentation was done to examine potential of biochar application to enhance the growth attributes, water relations, photosynthetic pigments and antioxidants activities in maize (Zea mays L.) seedlings. Results of study revealed that biochar application increased the growth qualities (total seedlings biomass,… More >

Lijuan Kong^1,2, Haiye Yu^1,2, Meichen Chen^1,2, Zhaojia Piao^1,2, Jingmin Dang¹, Yuanyuan Sui^1,2,*

Phyton-International Journal of Experimental Botany, Vol.88, No.4, pp. 367-378, 2019, DOI:10.32604/phyton.2019.09017

Abstract The particle matter, particularly the suspended particle matter (PM ≤ 2.5) in the air is not only a risk factor for human health, but also affects the survival and physiological features of plants. Plants show advantages in the adsorption of particle matter, while the factors, such as the leaf shape, leaf distribution density and leaf surface microstructure, such as grooves, folds, stomata, flocculent projections, micro-roughness, long fuzz, short pubescence, wax and secretory products, appeared to play an important role determing their absorption capacity. In this paper, the research progress on the capture or adsorption of… More >

Lina Gogoi¹, Rumi Narzari¹, Nirmali Gogoi², Muhammad Farooq³, Rupam Kataki^1,*

Phyton-International Journal of Experimental Botany, Vol.88, No.4, pp. 349-365, 2019, DOI:10.32604/phyton.2019.08406

Abstract The increasing deforestation with an alarming rate is the prime cause of upsetting the balance in the natural ecosystem and the livelihood of local communities. Sustainable forest management and reforestation efforts can equilibrium this destruction and maintain the protected areas. In this regard, soil management strategies for reforestation of the degraded forest land can be helpful. In this review, the potential of using biochar, a solid carbon rich product of biomass thermochemical conversion, as a soil amendment in forest soils has been discussed. The production procedures of biochar, availability of feedstocks and the biochar properties More >

Gregory Reimonn¹, Taofeng Lu¹, Neeti Gandhi², Wan-Ting Chen^1,*

Journal of Renewable Materials, Vol.7, No.12, pp. 1251-1268, 2019, DOI:10.32604/jrm.2019.08055

Abstract Microplastic pollution represents a side-effect stemming from a global plastic waste mismanagement problem and includes degraded particles or mass produced plastic particles less than 5 mm in largest dimension. The small nature of microplastics gives this area of pollution different environmental concerns than general plastic waste in the environment. The biological toxicity of particles, their internal components, and their surface level changes all present opportunities for these particles to adversely affect the environment around them. Thus, it is necessary to review the current literature surrounding this topic and identify areas where the study of microplastic More >

J.K. Mohanty¹, A. Adarsh², P.R. Dash¹, K. Parida¹, P.K. Pradhan^1,*

Sound & Vibration, Vol.53, No.5, pp. 223-235, 2019, DOI:10.32604/sv.2019.07737

Abstract Condition monitoring is implementation of the advanced diagnostic techniques to reduce downtime and to increase the efficiency and reliability. The research is for determining the usage of advanced techniques like Vibration analysis, Oil analysis and Thermography to diagnose ensuing problems of the Plant and Machinery at an early stage and plan to take corrective and preventive actions to eliminate the forthcoming breakdown and enhancing the reliability of the system. Nowadays, the most of the industries have adopted the condition monitoring techniques as a part of support system to the basic maintenance strategies. Major condition monitoring… More >

Xia Wang¹, Hongming Shen¹, Huawei Tao², Ruiyu Liang³, Xing Deng^4,5, Haijian Shao⁵, Li Zhao^6,*, Cairong Zou⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.121, No.2, pp. 551-567, 2019, DOI:10.32604/cmes.2019.06314

Abstract To make full use of the residual audible frequency band of hearing-loss patients and improve the intelligibility of speech, an adaptive nonlinear frequency compression (NFC) algorithm is proposed, which amplifies signals below the cutoff frequency while compresses signals above the cutoff frequency. Firstly, high-frequency signals are decomposed to critical band signals according to the BARK scale. Secondly, the global compression ratio is determined according to the patient's cutoff frequency and maximum audible frequency. Thirdly, the sub-band compression ratio is adaptively determined based on the global compression ratio and normalized average energy of subband signals. Finally, More >

Liang Ding^1,*, Lunjie Li¹, Jianghong Han¹, Yuqi Fan^2,*, Donghui Hu¹

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1285-1304, 2019, DOI:10.32604/cmc.2019.06160

Abstract Botnets often use domain generation algorithms (DGA) to connect to a command and control (C2) server, which enables the compromised hosts connect to the C2 server for accessing many domains. The detection of DGA domains is critical for blocking the C2 server, and for identifying the compromised hosts as well. However, the detection is difficult, because some DGA domain names look normal. Much of the previous work based on statistical analysis of machine learning relies on manual features and contextual information, which causes long response time and cannot be used for real-time detection. In addition,… More >

Hyun Kyu Shin¹, Yong Han Ahn², Sang Hyo Lee³, Ha Young Kim^4,*

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 911-928, 2019, DOI:10.32604/cmc.2019.08269

Abstract Compressive strength of concrete is a significant factor to assess building structure health and safety. Therefore, various methods have been developed to evaluate the compressive strength of concrete structures. However, previous methods have several challenges in costly, time-consuming, and unsafety. To address these drawbacks, this paper proposed a digital vision based concrete compressive strength evaluating model using deep convolutional neural network (DCNN). The proposed model presented an alternative approach to evaluating the concrete strength and contributed to improving efficiency and accuracy. The model was developed with 4,000 digital images and 61,996 images extracted from video More >

Stamatia Pagoulatou^1,*, Mauro Ferraro¹, Bram Trachet^1,2, Georgios Rovas¹, Vasiliki Bikia¹, Dionysios Adamopoulos³, Lindsey Crowe³, Jean-Paul Vallée³, Nikolaos Stergiopulos¹

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 148-149, 2019, DOI:10.32604/mcb.2019.07346

Abstract This article has no abstract. More >

Yuhua Gong¹, Shilei Hao^1,*, Bochu Wang^1,*

Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 143-143, 2019, DOI:10.32604/mcb.2019.07095

Abstract The mechanical response of brain tissue closely relates to cerebral blood flow and brain diseases. During intracerebral haemorrhage (ICH), a mass effect occurs during the initial bleeding. As the hematoma increases, the haematoma mass effect continues to squeeze the brain tissue mechanically, which can even lead to the formation of fatal cerebral hernia. However, fewer studies have focused on the brain damage mechanisms and treatment approaches associated with mass effects compared to the secondary brain injuries after ICH, which may be a result of the absence of acceptable animal models mimicking a mass effect. Thus,… More >