Na Liu¹, Yan Zhang², Junxiu Wang^3,4,*

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 449-462, 2024, DOI:10.32604/ijmhp.2024.049334

Abstract Background: In the current social environment, scarcity, as a universally present objective state, profoundly impacts individuals’ decision-making and health through the subjective feeling it induces, known as a “scarcity mindset.” Particularly, the feeling of scarcity related to money and sleep time is not only widespread but also directly linked to an individual’s mental health. Purpose: This study aims to delve into the relationship between the feeling of scarcity and mental health, with a specific focus on the relationship between the feeling of money scarcity or sleep time scarcity and mental health, as well as the… More >

Khalid A. Al-Gaadi^1,2, Ahmed M. Zeyada¹, ElKamil Tola^2,*, Abdullah M. Alhamdan^1,3, Khalid A.M. Ahmed^3,4, Rangaswamy Madugundu², Mohamed K. Edrris²

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1311-1323, 2024, DOI:10.32604/phyton.2024.049535

Abstract From economic and nutritional points of view, tomato is, historically, considered one of the most important crops. Without significant yield reduction, most commercial cultivars of tomato crops are sensitive to moderate levels of salinity. However, high levels of salt stress can negatively affect the yield and quality of tomato fruits. Therefore, this study was conducted to evaluate the yield and fruit quality of three tomato cultivars (Forester, Ghandowra-F1, and Feisty-Red) cultivated hydroponically, under three different levels of nutrient solution salinity. Evaluation of tomato fruits was performed based on quantity (number and weight of fruits, and… More >

Feng Zhao, Guangdi Liu^*, Xiaoqiang Chen, Ying Wang

Energy Engineering, Vol.121, No.7, pp. 1865-1882, 2024, DOI:10.32604/ee.2024.048209

Abstract In light of the prevailing issue that the existing convolutional neural network (CNN) power quality disturbance identification method can only extract single-scale features, which leads to a lack of feature information and weak anti-noise performance, a new approach for identifying power quality disturbances based on an adaptive Kalman filter (KF) and multi-scale channel attention (MS-CAM) fused convolutional neural network is suggested. Single and composite-disruption signals are generated through simulation. The adaptive maximum likelihood Kalman filter is employed for noise reduction in the initial disturbance signal, and subsequent integration of multi-scale features into the conventional CNN… More >

Manal El-Hamamsy^*, Hesham Elwakil^†, Amr S. Saad^†, May A. Shawki^*

Oncology Research, Vol.24, No.6, pp. 521-528, 2016, DOI:10.3727/096504016X14719078133528

Abstract Statins have been reported to have a potential radiosensitizing effect that has not been evaluated in clinical trials. The aim of this study was to evaluate the efficacy and safety of simvastatin in addition to whole-brain radiation therapy (WBRT) in patients with brain metastases (BM). A prospective randomized, controlled, open-label pilot study was conducted on 50 Egyptian patients with BM who were randomly assigned to receive 30-Gy WBRT (control group: 25 patients) or 30 Gy WBRT+ simvastatin 80 mg/day for the WBRT period (simvastatin group: 25 patients). The primary outcome was radiological response at 4… More >

Yijie Ye¹, Han Wang², Liujiang Ye¹, Hao Gao^1,*

International Journal of Mental Health Promotion, Vol.26, No.5, pp. 361-376, 2024, DOI:10.32604/ijmhp.2024.049606

Abstract Sleep quality is closely linked to people’s health, and during the COVID-19 pandemic, the sleep patterns of residents in China were notably poor. The lockdown in China led to an increase in social media use, prompting questions about its impact on sleep. Therefore, this study investigates the association between social media use and sleep quality among Chinese residents during the COVID-19 outbreak, highlighting the potential mediating role of social media addiction. Data were collected via questionnaires through a cross-sectional survey with 779 valid responses. Variance analysis was used to test for differences in social media… More >

Md. Abdul Quddus¹, Md. Ataur Rahman¹, Razu Ahmed¹, Mohammad Eyakub Ali², Khokan Kumer Sarker³, Md. Alamgir Siddiky⁴, Mohibur Rahman⁴, Lamya Ahmed Alkeridis⁵, Samy Sayed^6,7, Ahmed Gaber^8,9, Akbar Hossain^10,*

Phyton-International Journal of Experimental Botany, Vol.93, No.5, pp. 901-922, 2024, DOI:10.32604/phyton.2024.049226

Abstract Garden pea productivity and qualities are hampered in zinc (Zn), boron (B), and molybdenum (Mo) deficient soil. Thus, the combination of micronutrients (i.e., Zn, B, and Mo) and rhizobium is necessary to increase the productivity and quality of garden peas, since this management for garden peas is neglected in Bangladesh. Therefore, the present study was made to assess the effectiveness of rhizobium inoculant singly or in combination with the micronutrients (i.e., Zn, B, and Mo) on growth, yield, nutrient uptake, and quality of garden peas. Treatments were: T = Control, T = Rhizobium inoculation at 50… More >

Chao-Lung Yang^1,*, Atinkut Atinafu Yilma^1,2, Bereket Haile Woldegiorgis², Hendrik Tampubolon^3,4, Hendri Sutrisno⁵

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 233-254, 2024, DOI:10.32604/iasc.2024.043091

Abstract This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations. Since real-time production process monitoring is critical in today’s smart manufacturing. The more robust the monitoring model, the more reliable a process is to be under control. In the past, many researchers have developed real-time monitoring methods to detect process shifts early. However, these methods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties. In this paper, a robust monitoring model combining Gated Recurrent Unit (GRU) and Random… More >

Gustavo Cruz^1,*, Santiago Pedroza², Juan F. Vélez³, Jessica Largo², Juan F. Tejada⁴, Jorge H. Mejía-Mantilla⁵

Congenital Heart Disease, Vol.19, No.2, pp. 207-218, 2024, DOI:10.32604/chd.2024.044244

Abstract Background: Failure to rescue has been an effective quality metric in congenital heart surgery. Conversely, morbidity and mortality depend greatly on non-modifiable individual factors and have a weak correlation with better-quality performance. We aim to measure the complications, mortality, and risk factors in pediatric patients undergoing congenital heart surgery in a high-complexity institution located in a middle-income country and compare it with other institutions that have conducted a similar study. Methods: A retrospective observational study was conducted in a high-complexity service provider institution, in Cali, Colombia. All pediatric patients undergoing any congenital heart surgery between… More >

Anindita Das¹, Kanu Murmu², Biplab Mitra³, Pintoo Bandopadhyay², Ritesh Kundu⁴, Moupiya Roy⁵, Saleh Alfarraj⁶, Mohammad Javed Ansari⁷, Marian Brestic⁸, Akbar Hossain^9,*

Phyton-International Journal of Experimental Botany, Vol.93, No.4, pp. 763-776, 2024, DOI:10.32604/phyton.2024.049473

Abstract Nutrient management plays a crucial role in the yield and quality of sweet corn. A field experiment was conducted in consecutive two kharif seasons in 2018 and 2019 to investigate the effect of various organic sources of nutrients in combination with inorganic sources on the yield and quality of sweet corn under new alluvial soils of West Bengal, India. Treatments were: T: Control (without fertilizers); T: 100% recommended dose (RDF) of chemical fertilizers (CF) (RDF CF); T: 100% recommended dose of N (RDN) through vermicompost (VC) (RDN VC); T: 50 RDN through CF + 50%… More >

Yongjiang Zhao, Haoyi Zhong, Chang Cyoon Lim^*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 449-471, 2024, DOI:10.32604/cmc.2024.048771

Abstract This paper examines the difficulties of managing distributed power systems, notably due to the increasing use of renewable energy sources, and focuses on voltage control challenges exacerbated by their variable nature in modern power grids. To tackle the unique challenges of voltage control in distributed renewable energy networks, researchers are increasingly turning towards multi-agent reinforcement learning (MARL). However, MARL raises safety concerns due to the unpredictability in agent actions during their exploration phase. This unpredictability can lead to unsafe control measures. To mitigate these safety concerns in MARL-based voltage control, our study introduces a novel… More >