63 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Saturable and reverse saturable absorption of Rhodamine B in methanol and water

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    Journal of the Optical Society of America B: Optical Physics20122470-2479JOBP

    Prediction of microstrip antenna dimension using optimized auto-metric Graph Neural Network

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    Microstrip antennas are fabricated by a copper-etched printed circuit board (PCB) through an exact patch shapes are arranged at one side and ground planes are arranged at other side. This manuscript proposes a Prediction of Microstrip Antenna Dimension using Auto-Metric Graph Neural Network is optimized with Sheep Flock optimization Algorithm for predicting antenna dimension (MSA-AMGNN-SFOA). Initially, the input datasets are taken through CST microwave studio and Google Sheet is used to records the information. Then, the input antenna parameter is pre-processed by the normalization techniques of Min-Max scaling methodfor feature scaling that enhance the prediction performance.The pre-processed antenna parameters are fed toAuto-Metric Graph Neural Network (AMGNN) for predicting antenna dimension. Auto-Metric Graph Neural Network not exposesany adoption of optimization methods for scaling the optimum parameters andguaranteeingexact prediction. The proposed Sheep Flock Optimization Algorithm (SFOA) is used to optimize the AMGNN weight parameters and it is implemented. The simulation results of the proposed MSA-AMGNN-SFOA design provide higher predicted accuracy and higher than existing methods, such as design of microstrip antenna using GP regression including (MSA-GPR-ANN), Design and optimization of microstrip antenna utilising Gaussian process and support vector machine (MSA-GP-SVM), design of microstrip antenna using deep kernel model including artificial neural network with (MSA-DKL-ANN-PSO) respectively

    Evaluating the feasibility of utilizing Gynocular-triage-to-diagnose application with VIA (Visual inspection with Acetic acid) in community cervical cancer screening programs in rural Mysore, India

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    Background: Cervical cancer is the third most common cancer among women in India. The aim of the study is to determine the feasibility of using the Gynocular-triage-to-diagnose (Gynocular T2D/GT2D) in conjunction with visual inspection with acetic acid (VIA) in community-based cervical cancer screening programs in rural Mysore, India. Methods: Between November 2015 and August 2016, the Public Health Research Institute of India (PHRII) implemented a mobile cervical cancer-screening in Mysore district using VIA and GT2D. Women underwent speculum exams and VIA positive cases were identified. Swede score was assessed using GT2D and a score >4 indicated further monitoring or referral for treatment. Papanicolaou (Pap) smears were conducted for selected cases. Statistical analysis was performed using Chi-square and Fisher's exact tests. Results: Among 199 women registered in the camp, 176 were included in the final analysis. 23 women were excluded due to vaginal bleeding. The average age of women was 39 years (range = 27-59 years). Among the 176 cases, 38 (21.6%) were VIA positive and 138 (78.4%) were VIA negative. Swede score of >4 was observed in 6 VIA positive and 7 VIA negative women. Two cases among VIA negative with a score of >4 were suggested biopsy. Conclusion: Gynocular triaging prevented overtreatment of 32 (18.1%) participants, and identified 7 subjects with >4 Swede score even in VIA negative cases, which would have been ignored if VIA alone was used. In summary, our study demonstrates that Gynocular triaging is feasible in community cervical cancer screening programs. © 2021 Indian Journal of Cancer | Published by Wolters Kluwer - Medknow.Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

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    Not AvailableThe present trial was conducted to study the effect of ratio of unsaturated to saturated fatty acids with or without L-carnitine supplementation on the performance male broiler chicks. A total of 320 day old male broiler chicks were randomly divided into 8 treatments with eight replicate and five birds each. T1, T2, T3 and T4 diets were formulated to contain ratio of UFA: SFA fatty acids as 60: 40, 65: 35, 70: 30 and 75: 25, respectively. Diets T5, T6, T7 and T8 were formulated to contain same ratio of fatty acids to that of T1 to T4 but with supplementation of L-carnitine at 100 mg/kg diet level. Before the feed formulation, the lipid profile of the tallow and crude soybean oil were analyzed. The unsaturated fatty acids (UFA) : saturated fatty acids (SFA) ratio were found to be 5.37 and 0.77, respectively for crude soybean oil and tallow. The results indicated that 70: 30 ratio without L-carnitine had significantly (P<0.05) higher weight gain during starter, finisher and overall period compared to other ratios. However, carnitine supplementation to these ratios did not have significant effect on weight gain during the finisher and the overall period. Significantly (P<0.05) lowest feed intake was noticed at 75: 25 ratio with L-carnitine supplementation. The FCR was better (P<0.05) at 60: 40 ratio diets without carnitine supplementation compared to others. The interaction effect was significant (P<0.05) only during starter phase.Not Availabl
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