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| 1 | Molecular Biomarkers: Their significance and application in marine pollution monitoring显示文摘 | A. Sarkar D. Ray Amulya N. Shrivastava Subhodeep Sarker | 2006 | Ecotoxicology2006，，4： | 1 |
| 2 | Effect of Sintering Temperature and Heating Rate on Crystallite Size,Densification Behaviour and Mechanical Properties of Al-MWCNT Nanocomposite Consolidated via Spark Plasma Sintering显示文摘Powder mixture of ball-milled aluminium and functionalized multi-walled carbon nanotubes was compacted via spark plasma sintering(SPS) to study effects of sintering temperature and heating rate. An increase in sintering temperature led to an increase in crystallite size and density, whereas an increase in heating rate exerted the opposite effect. The crystallite size and relative density increased by 85.0% and 14.3%, respectively, upon increasing the sintering temperature from 400 to 600 °C, whereas increasing the heating rate from 25 to 100 °C/min led to respective reduction by 30.0% of crystallite size and 1.8% of relative density. The total punch displacement during SPS for the nanocomposite sintered at 600 °C(1.96 mm) was much higher than that of the sample sintered at 400 °C(1.02 mm) confirming positive impact of high sintering temperature on densification behaviour. The maximum improvement in mechanical properties was exhibited by the nanocomposite sintered at 600 °C at a heating rate of 50 °C/min displaying microhardness of 81 ± 3.6 VHN and elastic modulus of 89 ± 5.3 GPa. The nanocomposites consolidated at 400 °C and 100 °C/min, in spite of having relatively smaller crystallite size, exhibited poor mechanical properties indicating the detrimental effect of porosity on the mechanical properties. | Lavish Kumar Singh Alok Bhadauria Subhodeep Jana Tapas Laha | 2018 | Acta Metallurgica Sinica(English Letters)2018，31，10： | 0 |
| 3 | Artificial intelligence in ophthalmology: A new era is beginning显示文摘The use of artificial intelligence(AI)in ophthalmology is not very new and its use is expanding into various subspecialties of the eye like retina and glaucoma,thereby helping ophthalmologists to diagnose and treat diseases better than before.Incorporating“deep learning”(a subfield of AI)into image-based systems such as optical coherence tomography has dramatically improved the machine's ability to screen and identify stages of diabetic retinopathy accurately.Similar applications have been tried in the field of retinopathy of prematurity and agerelated macular degeneration,a silent retinal condition that needs to be diagnosed early to prevent progression.The advent of AI into glaucoma diagnostics in analyzing visual fields and assessing disease progression also holds a promising role.The ability of the software to detect even a subtle defect that the human eye can miss has led to a revolution in the management of certain ocular conditions.However,there are few significant challenges in the AI systems,such as the incorporation of quality images,training sets and the black box dilemma.Nevertheless,despite the existing differences,there is always a chance of improving the machines/software to potentiate their efficacy and standards.This review article shall discuss the current applications of AI in ophthalmology,significant challenges and the prospects as to how both science and medicine can work together. | Bijnya Birajita Panda Subhodeep Thakur Sumita Mohapatra Subhabrata Parida | 2021 | Artificial Intelligence in Medical Imaging2021，2，1： | 0 |
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