Thermal gravimetric analyses and the first derivative for the obtained data for the CNTs; (A and B), AC; (C and D) and SiO₂; (E and F) compared with the pristine kaolin. by Nasser A. M. Barakat (11705885)

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Effect of each additive on Kaolin ceramic properties at different sintering temperatures. by Nasser A. M. Barakat (11705885)

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Mammary fistula (n(%)). by Na Wang (193263)

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Annual number of outpatient visits in all eyes. by Yasuyuki Sotani (20114144)

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Loss of life expectancy that would result if colorectal cancer missed in 2011 had been diagnosed in 2011 (unit: years). by Hiroaki Saito (24514)

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Estimated detected and non-detected colorectal cancer rates and their clinical stages based on colorectal cancer screening in Minamisoma City in 2011. by Hiroaki Saito (24514)

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Time course of optical coherence tomography and fundus findings in a representative non-recurrent eye. by Yasuyuki Sotani (20114144)

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Conceptual diagram of survival curve and loss of life expectancy. by Hiroaki Saito (24514)

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Time course of central retinal thickness (CRT) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

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Time course of best-corrected visual acuity (BCVA) in all eyes. by Yasuyuki Sotani (20114144)

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Annual number of outpatient visits in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

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Time course of central retinal thickness (CRT) in all eyes. by Yasuyuki Sotani (20114144)

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Annual treatment frequencies in all eyes. by Yasuyuki Sotani (20114144)

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Loss of life expectancy by age group and stage of colorectal cancer and change if detected after one year. by Hiroaki Saito (24514)

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Estimated distribution of colorectal cancer stage among patients assumed to have missed diagnosis in 2011 (unit: persons). by Hiroaki Saito (24514)

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Annual treatment frequencies in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

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Additional loss of life expectancy and cost per life-year saved resulting from changes in colorectal cancer stage due to a 1-year diagnostic delay. by Hiroaki Saito (24514)

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Time course of best-corrected visual acuity (BCVA) in recurrence and non-recurrence groups. by Yasuyuki Sotani (20114144)

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Preoperative background characteristics of the patients. by Yasuyuki Sotani (20114144)

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Modeling method used. by Claire Teillet (18986264)

“…The most influential variables for predicting larval presence were the mean of Normalized Difference Vegetation Index (NDVI), texture indices from both NDVI, brightness index (BI), and the panchromatic image. Urban vegetation significantly influences larval presence, although higher vegetation index values correlate with a decreased probability of larval occurrence. …”