Potential of the magnetic hollow-sphere nanocomposite, graphene oxide-gadolinium oxide (GO-GdO) for arsenic (As) removal from real field water with developing a continuous operating system and antimicrobial activity were investigated. The characterization results suggest that the prepared GO-GdO is a hallow sphere wool-like nanocomposite having 50.91 m g surface area. The sorption studies revealed that a high adsorption capacity (216.70 mg g) can be achieved using GO-GdO (0.1 g L) at a pH of 6.0, and temperature of 293 K. The main and novel observations from the loading of GdO are that the GO adsorption efficiency, adsorbent separation rate from aqueous solutions, and the stability of the composite have been altered. Thus, the developed material can overcome the separation and stability issues associated with the bare GO, and exhibits an enhanced adsorption capacity toward arsenic was higher or comparable with existing magnetic material. In addition, the developed adsorption method was well applied for real field water samples collected from the mining area of South Korea where the GO-GdO can reduce the quantity of arsenic under the maximum accepted concentration of arsenic considered fit for drinking water stipulated by environmental protection agencies. Furthermore, the GO-GdO nanocomposite shows a high bacterial photocatalytic inactivation and was comparable with other reports.
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http://dx.doi.org/10.1016/j.jhazmat.2020.123882 | DOI Listing |
It is a common occurrence in the fracture processes of deep carbonate reservoirs that the fracturing construction pressure during hydraulic fracturing operation exceeds 80 MPa. The maximum pumping pressure is determined by the rated pressure of the pumping pipe equipment and the reservoir characteristics, which confine the fracture to the target area. When the pump pressure exceeds the safety limit, hydraulic fracturing has to reduce the construction displacement to prevent potential accidents caused by overpressure.
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January 2025
School of Civil Engineering, Qingdao University of Technology, Qingdao, 266525, China.
In the field of Structural Health Monitoring (SHM), complete datasets are fundamental for modal identification analysis and risk prediction. However, data loss due to sensor failures, transmission interruptions, or hardware issues is a common problem. To address this challenge, this study develops a method combining Variational Mode Decomposition (VMD) and Sparrow Search Algorithm (SSA)-optimized Gate Recurrent Unit (GRU) for recovering structural response data.
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January 2025
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210000, China.
Travelable area boundaries not only constrain the movement of field robots but also indicate alternative guiding routes for dynamic objects. Publicly available road boundary datasets have outlined boundaries by binary segmentation labels. However, hard post-processes have to be done to extract from detected boundaries further semantics including the shapes of the boundaries and guiding routes, which poses challenges to a real-time visual navigation system without detailed prior maps.
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January 2025
Amal Jyothi College of Engineering (Autonomous), Kanjirappally, Kerala, India.
In agriculture, promptly and accurately identifying leaf diseases is crucial for sustainable crop production. To address this requirement, this research introduces a hybrid deep learning model that combines the visual geometric group version 19 (VGG19) architecture features with the transformer encoder blocks. This fusion enables the accurate and précised real-time classification of leaf diseases affecting grape, bell pepper, and tomato plants.
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January 2025
Centre for Biostatistics, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
Study Objective: Stillbirth is burdensome in low-income and middle-income countries (LMICs), especially in sub-Saharan Africa and South Asia. Currently, there are two core outcome sets (COS) for stillbirth (prevention and bereavement care), but these were developed with limited reflection of the needs of parents in an LMIC setting. To address this gap, the objective of this study was to establish consensus on the most important outcomes for stillbirth prevention and bereavement care following stillbirth in sub-Saharan Africa and South Asia.
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