Xiaolan Guo^1,2, Di Zhao², Jinbin Hu³, Delu Wang^2,*, Jianbin Wang¹, Muhammad Shakeel⁴

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 209-223, 2023, DOI:10.32604/phyton.2022.023050

Abstract

To evaluate the effects of nitrogen (N) and irrigation coupling on the soil N distribution, plant N utilization, and fruit yield of rabbiteye blueberries (Vaccinium virgatum), a field experiment was designed using two factors (water and fertilizer application) with four levels of irrigation and three levels of fertilization, and a control. Under the different water and fertilizer combinations, N primarily accumulated in the leaves. Irrigation and N application within appropriate ranges (pure N ≤ 29 g/plant and irrigation volume ≤ 2.5 L/plant) significantly improved the blueberry fruit yield. Increases in water and N within these ranges promoted the effective accumulation… More >

Le Quang Thao^1,2,*, Duong Duc Cuong², Vu Manh Hung³, Le Thanh Vinh³, Doan Trong Nghia⁴, Dinh Ha Hai³, Nguyen Nhan Nhi³

Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3517-3530, 2023, DOI:10.32604/iasc.2023.031026

Abstract The recent outbreak of the coronavirus disease of 2019 (Covid-19) has been causing many disruptions among the education systems worldwide, most of them due to the abrupt transition to online learning. The sudden upsurge in digital electronic devices usage, namely personal computers, laptops, tablets and smartphones is unprecedented, which leads to a new wave of both mental and physical health problems among students, for example eye-related illnesses. The overexposure to electronic devices, extended screen time usage and lack of outdoor sunlight have put a consequential strain on the student’s ophthalmic health because of their young age and a relative lack… More >

Ashit Kumar Dutta^1,*, Yasser Albagory², Majed Alsanea³, Hamdan I. Almohammed⁴, Abdul Rahaman Wahab Sait⁵

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1643-1655, 2023, DOI:10.32604/iasc.2023.027865

Abstract Eye state classification acts as a vital part of the biomedical sector, for instance, smart home device control, drowsy driving recognition, and so on. The modifications in the cognitive levels can be reflected via transforming the electroencephalogram (EEG) signals. The deep learning (DL) models automated extract the features and often showcased improved outcomes over the conventional classification model in the recognition processes. This paper presents an Ensemble Deep Learning with Chimp Optimization Algorithm for EEG Eye State Classification (EDLCOA-ESC). The proposed EDLCOA-ESC technique involves min-max normalization approach as a pre-processing step. Besides, wavelet packet decomposition (WPD) technique is employed for… More >

Mohamed Abbas Ahamed Farook^1,*, S. Rukmanidevi², N. R. Shanker³

Computer Systems Science and Engineering, Vol.44, No.2, pp. 1763-1774, 2023, DOI:10.32604/csse.2023.026260

Abstract Nowadays, smartphones are used as self-health monitoring devices for humans. Self-health monitoring devices help clinicians with big data for accurate diagnosis and guidance for treatment through repetitive measurement. Repetitive measurement of haemoglobin requires for pregnant women, pediatric, pulmonary hypertension and obstetric patients. Noninvasive haemoglobin measurement through conjunctiva leads to inaccurate measurement. The inaccuracy is due to a decrease in the density of goblet cells and acinar units in Meibomian glands in the human eye as age increases. Furthermore, conjunctivitis is a disease in the eye due to inflammation or infection at the conjunctiva. Conjunctivitis is in the form of lines… More >

Hongfang Song^1,2, Aike Qiao^3,4,*

Molecular & Cellular Biomechanics, Vol.19, No.3, pp. 159-164, 2022, DOI:10.32604/mcb.2022.019005

Abstract Putting the thread through the eye of a needle is a very ordinary issues in daily life. The mechanism of putting the thread through the eye of a needle is quite similar to threading a series of polymer chains through synthetic macrocycle in bioscience. A new rubbing approach to thread through the eye of a needle was proposed in this paper, and its potential application in the fields of biomechanics and mechanobiology to mimic the micro scale assembly processes was discussed. More >

Jia Qin^1,2,3,4,5, Lin An^1,2,3,4,5,*

Molecular & Cellular Biomechanics, Vol.19, No.3, pp. 151-157, 2022, DOI:10.32604/mcb.2022.018578

Abstract Myopia is a common ophthalmic deficiency. The structure and function of choroid layer is assumed to be associated with myopia. In this study, a laboratory developed spectral domain optical coherence tomography scanning system is used to image human eyes. The axial resolution of the system is about 7 μm, and the acquisition rate is 100 kHz. Firstly, a cross-sectional image was acquired by averaging 100 images from imaging posterior segment of each eye. The choroid thickness was measured by 11 discrete points. The average thickness of normal human eyes was (0.296 ± 0.126) mm, whereas the average choroid thickness of… More >

SHUAI LIU¹, JIANZHONG XU^1,*, TINGSHAN LIU¹, ZHIMING RAO², WEIGUO ZHANG^1,*

BIOCELL, Vol.46, No.10, pp. 2303-2313, 2022, DOI:10.32604/biocell.2022.020899

Abstract In this study, phosphoenolpyruvate and erythrose-4-phosphate are efficiently supplied by collaborative design of Embden-Meyerhof-Parnas (EMP) pathway and pentose phosphate (PP) pathway in Escherichia coli, thus increasing the L-tryptophan production. Firstly, the effects of disrupting EMP pathway on L-tryptophan production were studied, and the results indicated that the strain with deletion of phosphofructokinase A (i.e., E. coli JW-5 ΔpfkA) produced 23.4 ± 2.1 g/L of L-tryptophan production. However, deletion of phosphofructokinase A and glucosephosphate isomerase is not conducive to glucose consumption and cell growth, especially deletion of glucosephosphate isomerase. Next, the carbon flux in PP pathway was enhanced by introduction of… More >

CARL RANDALL HARRELL^1,#, ANA VOLAREVIC^2,#,*, DRAGICA PAVLOVIC³, VALENTIN DJONOV⁴, VLADISLAV VOLAREVIC^4,5,*

BIOCELL, Vol.46, No.10, pp. 2195-2200, 2022, DOI:10.32604/biocell.2022.020175

Abstract Detrimental immune response has a crucially important role in the development and progression of inflammatory eye diseases. Inflammatory mediators and proteolytic enzymes released by activated immune cells induce serious injury of corneal epithelial cells and retinal ganglion cell which may result in the vision loss. Mesenchymal stem cells (MSCs) are regulatory cells which produce various immunosuppressive factors that modulate phenotype and function of inflammatory immune cells. However, several safety issues, including undesired differentiation and emboli formation, limit clinical use of MSCs. MSC-derived exosomes (MSC-Exos) are nano-sized extracellular vesicles which contain all MSC-derived immunoregulatory factors. Intraocular administration of MSC-Exos efficiently attenuated… More >

Waleed El Nahal¹, Hatim G. Zaini², Raghad H. Zaini³, Sherif S. M. Ghoneim^4,*, Ashraf Mohamed Ali Hassan⁵

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 33-50, 2022, DOI:10.32604/cmc.2022.028190

Abstract Recently, many researchers have tried to develop a robust, fast, and accurate algorithm. This algorithm is for eye-tracking and detecting pupil position in many applications such as head-mounted eye tracking, gaze-based human-computer interaction, medical applications (such as deaf and diabetes patients), and attention analysis. Many real-world conditions challenge the eye appearance, such as illumination, reflections, and occasions. On the other hand, individual differences in eye physiology and other sources of noise, such as contact lenses or make-up. The present work introduces a robust pupil detection algorithm with and higher accuracy than the previous attempts for real-time analytics applications. The proposed… More >

Nur Syazreen Ahmad^*, Jia Hui Teo, Patrick Goh

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 611-628, 2022, DOI:10.32604/cmc.2022.025823

Abstract A single-channel electroencephalography (EEG) device, despite being widely accepted due to convenience, ease of deployment and suitability for use in complex environments, typically poses a great challenge for reactive brain-computer interface (BCI) applications particularly when a continuous command from users is desired to run a motorized actuator with different speed profiles. In this study, a combination of an inconspicuous visual stimulus and voluntary eyeblinks along with a machine learning-based decoder is considered as a new reactive BCI paradigm to increase the degree of freedom and minimize mismatches between the intended dynamic command and transmitted control signal. The proposed decoder is… More >