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| 1 | Highly dispersed ultrafine Pt and PtRu nanoparticles on graphene:Formation mechanism and electrocatalytic activity显示文摘 | Nethravathi C Anumol E A Rajamathi M | | 0，，02： | 1 |
| 2 | Investigating landfill leachate as a source of trace organic pollutants 显示文摘 | Clarke B O Anumol T Barlaz M | 2015 | Chemospbere2015，127，： | 1 |
| 3 | Highly dispersed ultrafine Pt and PtRu nanopar-ticles on grapheme : formation mechanism and electro-catalytic activity显示文摘 | NETHRAVATHI C ANUMOL E A RAJAMATHI M | 2011 | Nanoscale2011，3，： | 1 |
| 4 | Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network显示文摘The detection and reconstruction of transparent objects have remained challenging due to the absence of their features and variations in the local features with variations in illumination.In this paper,both compressive sensing(CS)and super-resolution convolutional neural network(SRCNN)techniques are combined to capture transparent objects.With the proposed method,the transparent object’s details are extracted accurately using a single pixel detector during the surface reconstruction.The resultant images obtained from the experimental setup are low in quality due to speckles and deformations on the object.However,the implemented SRCNN algorithm has obviated the mentioned drawbacks and reconstructed images visually plausibly.The developed algorithm locates the deformities in the resultant images and improves the image quality.Additionally,the inclusion of compressive sensing minimizes the measurements required for reconstruction,thereby reducing image post-processing and hardware requirements during network training.The result obtained indicates that the visual quality of the reconstructed images has increased from a structural similarity index(SSIM)value of 0.2 to 0.53.In this work,we demonstrate the efficiency of the proposed method in imaging and reconstructing transparent objects with the application of a compressive single pixel imaging technique and improving the image quality to a satisfactory level using the SRCNN algorithm. | Anumol MATHAI Li MENGDI Stephen LAU Ningqun GUO Xin WANG | 2022 | Photonic Sensors2022，12，4： | 1 |
| 5 | Bridging experimental and monitoring research for visible foliar injury as bio-indicator of ozone impacts on forests显示文摘Tropospheric ozone(O_(3))is a phytotoxic air pollutant and the O_(3)-induced visible foliar injury(O_(3)VFI)is a biomarker.A recently developed Free-air O_(3)eXposure(FO_(3)X)is a promising facility to verify field-observed“O_(3)-like”VFIs and to establish a flux-based threshold for the O_(3)VFI onset.The present study compared O_(3)-like VFI registered in the southern European forest sites with actual O_(3)VFI observed in a FO_(3)X experiment.The O_(3)-like VFIs were evaluated by eye in forests and thus it was subjective.According to the imaging analysis,we firstly demonstrated that major parts of the colors were similar in the field and the FO_(3)X.The color pallets for O_(3)VFI was species-specific and considered a advanced tool for the O_(3)VFI diagnosis.In addition,we calculated a flux-based threshold for the O_(3)VFI onset at the FO_(3)X based on a Phytotoxic Ozone Dose(POD_(1)),which ranged from 4.9 to 18.1 mmol m^(-2)POD1.This FO_(3)X-derived threshold partly explained but did not necessarily match with the observation for several tree species in actual forests.The multivariate analysis showed that O_(3)VFI was decreased by the presence of various species and suggested the importance of continuous monitoring activities in the field for the further analysis. | Barbara Baesso Moura Elisa Carrari Laurence Dalstein-Richier Pierre Sicard Stefan Leca Ovidiu Badea Diana Pitar-Silaghi Anumol Shashikumar Marie-Lyne Ciriani Elena Paoletti Yasutomo Hoshika | 2022 | Ecosystem Health and Sustainability2022，8，1： | 0 |
| 6 | The effect of ozone on pine forests in South-Eastern France from 2017 to 2019显示文摘In South-Eastern forests of France,risks linked to the effects of tropospheric ozone(O_(3))are real;its annual impact has been observed specifically near the coastline and in high altitude mountains during the period 2017-2019.In this study,the risk assessment of O_(3)pollutant was carried out using two approaches based on forest response indicators such as O_(3)specific foliar visible injury and by stomatal O_(3)flux.Phytotoxic O_(3)dose values(POD_(0))were obtained by the DO_(3)SE model.The model requires hourly O_(3)concentration for POD_(0)calculation.A modified approach that uses measurements from passive samplers(monthly average O_(3)concentration)was tested for the calculation of POD_(0)and test results showed good agreement with the POD_(0)calculated using hourly O_(3)data.In the model input file,the average O_(3)concentration is used for POD_(0),and this could be useful for POD_(0)calculation when the active monitor is limited.In this study,a flux-based assessment provided better correlation with O_(3)specific leaf injury,which is also species-specific.Foliar visible injury in response to O_(3)indicates that Pinus cembra and Pinus halepensis are more affected and therefore more sensitive than Pinus sylvestris.The POD_(0)and stomatal conductance(Gsto)seem to be induced by environmental factors,primarily rainfall and the soil water potential(fSWP).The correlation between the O_(3)flux metric and environmental variables with forest response indicators by Spearman rank test confirms P.cembra as one of the most sensitive species to O_(3). | Anumol Shashikumar Svetlana Bičárová Dalstein-Richier Laurence | 2023 | Journal of Forestry Research2023，34，2： | 0 |
| 7 | 人们吃到了什么?聚焦食物中的微塑料显示文摘当前,全球面临着日益严峻的塑料污染及废弃物问题,而塑料的长期蓄积将对人体造成危害。安捷伦科技全球环境与食品市场总监Tarun Anumol博士介绍了对人类食物链中微塑料的研究结果,并分享了关于微塑料普遍存在于鱼类及海洋生物中的独到看法。 | Tarun Anumol | 2020 | 食品安全导刊2020，，22： | 0 |
| 8 | Smartphone dependency and its impact on academics among medical and nursing students: A cross-sectional study显示文摘Objective:This study aimed to assess smartphone dependency and its impact on academics among medical and nursing students.Materials and Methods:A cross-sectional study was carried out on Bachelor of Medicine and Bachelor of Surgery(MBBS)and Bachelor of Science in Nursing(BScN)students in a medical teaching institute.The Smartphone Dependency Scale and self-structured questionnaire on impact of smartphone on academics were used to assess smartphone dependency and its impact on academics.A total of 436 students were selected using the total enumerative sampling technique.Data were analyzed using the descriptive(frequency,percentage,mean,and standard deviation)and inferential(t-test,Chi-square test)statistics.Results:The mean age of students was 20.6±1.29 years,81%were females,and the mean body mass index score was 21.59±3.41 kg/m2.The mean impact on academics and smartphone dependency scores was 19.92±7.01 and 48.58±11.46,respectively.The impact on academics had a significant association with student category(P<0.001)and gender(P<0.001).A significant association was found between the impact on academics(P=0.003)and smartphone dependency(P=0.05)with studying class.Conclusion:The use of smartphones is more among medical students.Students studying in the first and second years are found to be more dependent on smartphone,which caused a serious impact on their academics.Smart appliances have become mandatory in this era of technology,and it is not possible to stop its usage but negative impact of smartphones on students’academic performance needs to be addressed.Therefore,it is mandatory to organize educational seminars and workshops to promote the appropriate use of smartphones. | Rakesh SHARMA Vibhuti VAIDYA Rincy RAJAN Anumol Thottiyil ELDHOSE Hemkala RATRE Hemant Lata RAI | 2022 | Journal of Integrative Nursing2022，4，1： | 0 |
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