Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Bhattacharjee, NV, Schumacher, AE, Aali, A, Almidani, O, Bandyopadhyay, S, Graham, SM, Lacey, BWH, Maude, RJ, Runghien, T, Rodriguez, JAB

“…The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 produced up-to-date and comprehensive demographic assessments of key fertility indicators at global, regional, and national levels from 1950 to 2021 and forecast fertility metrics to 2100 based on a reference scenario and key policy-dependent alternative scenarios. …”

Quantitative analysis of choriocapillaris in non-human primates using swept-source optical coherence tomography angiography (SS-OCTA) by Tan, Bingyao, Chua, Jacqueline, Barathi, Veluchamy Amutha, Baskaran, Mani, Chan, Anita, Lin, Emily, Ang, Marcus, Klose, Gerd, Schmetterer, Leopold

“…We used several techniques to study choroidal perfusion, including laser Doppler flowmetry, laser speckle flowgraphy, and optical coherence tomography angiography (OCTA), but with the latter no standardized algorithm for quantitative analysis has been provided. …”
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Visualising cardiovascular pathology using computed tomography: the Heart multi-Omics imaging Atlas ProjEct (HOPE Atlas) by Xie, C

“…Firstly, I developed a novel minimally invasive post-mortem CT technique so that in-situ coronary computed tomography angiography (CCTA) could be performed to assess CAD with body preservation. …”

Retrieval of refractivity fields from GNSS tropospheric delays: theoretical and data-based evaluation of collocation methods and comparisons with GNSS tomography by Shehaj, Endrit, Geiger, Alain, Rothacher, Markus, Moeller, Gregor

“…This work aims at emphasizing the capabilities and limitations of the collocation method in modeling refractivity and to present it as a valuable alternative to GNSS tomography. Initially, we analyze the stochastic models in collocation and compare the theoretical errors of collocation with those of tomography. …”
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Multilevel mechanisms driving intraplate volcanism in Central Mongolia revealed by adjoint waveform tomography of receiver function and ambient noise data by Xu, Mijian, Wang, Kai, Chen, Jing, He, Jing, Liu, Qinya, Liu, Yiduo, Huang, Zhouchuan, Tong, Ping

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Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image by Ge, Chenkun, Yu, Xiaojun, Yuan, Miao, Fan, Zeming, Chen, Jinna, Shum, Perry Ping, Liu, Linbo

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Retinal nerve fiber layer damage assessment in glaucomatous eyes using retinal retardance measured by polarization-sensitive optical coherence tomography by Parakkel, Reshma Radhakrishnan, Wong, Damon, Li, Chi, Cheong, Jocelyn, Nongpiur, Monisha Esther, Chong, Rachel Shujuan, Aung, Tin, Schmetterer, Leopold, Liu, Xinyu, Chua, Jacqueline

“…The patients underwent PS-OCT imaging and conventional spectral-domain optical coherence tomography (SD-OCT), as well as visual field (VF) tests. …”
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Photoacoustic imaging of live chicken embryo at multiple developmental stages by Sharma, Arunima, Ishak, Noreen, Teoh, Swee-Hin, Cheung, Christine, Pramanik, Manojit

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Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019 by Reitsma, M. B., Kendrick, P. J., Ababneh, E., Abbafati, C., Abbasi-Kangevari, M., Abdoli, A., Abedi, A., Abhilash, E. S., Abila, D. B., Aboyans, V., Abu-Rmeileh, N. M., Adebayo, O. M., Advani, S. M., Aghaali, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, K., Ahmed, H., Aji, B., Akunna, C. J., Al-Aly, Z., Alanzi, T. M., Alhabib, K. F., Ali, L., Alif, S. M., Alipour, V., Aljunid, S. M., Alla, F., Allebeck, P., Alvis-Guzman, N., Amin T. T., Amini, S., Amu, H., Amul, G. G. H., Ancuceanu, R., Anderson, J. A., Ansari-Moghaddam, A., Antonio, C. A. T., Antony, B., Anvari, D., Arabloo, J., Arian, N. D., Arora, M., Asaad, M., Ausloos, M., Awan, A. T., Ayano, G., Aynalem, G. L., Azari, S., B, D.B., Badiye, A. D., Baig, A. A., Bakhshaei, M. H., Banach, M., Banik, P.C., Barker-Collo, S. L., Bärnighausen, T. W., Barqawi, H. J., Basu, S., Bayati, M., Bazargan-Hejazi, S., Behzadifar, M., Bekuma, T. T., Bennett, D. A., Bensenor, I. M., Berfield, K. S. S., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhattacharyya, K., Bibi, S., Bijani, A., Bintoro, B. S., Biondi, A., Birara, S., Braithwaite, D., Brenner, H., Brunoni, A. R., Burkart, K., Butt, Z. A., Caetano dos Santos, F. L., Car, Josip, Cárdenas, R., Carreras, G., Carrero, J. J., Castaldelli-Maia, J. M., Cattaruzza, M. S. S., Chang, J. C., Chen, S., Chu, D. T., Chung, S. C., Cirillo, M., Costa, V. M., Couto, R. A. S., Dadras, O., Dai, X., Damasceno, A. A. M., Damiani, G., Dandona, L.

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Localized transverse flow measurement with dynamic light scattering line-scan OCT by Han, Le, Tan, Bingyao, Schmetterer, Leopold, Bizheva, Kostadinka

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Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Schumacher, AE, Kyu, HH, Aali, A, Almidani, O, Bandyopadhyay, S, Basnyat, B, Maude, RJ, Bennett, D, Browne, AJ, Dolecek, C, Dunachie, SJ, Newton, CRJ, Rodriguez, JAB

“…<p><b>Background</b></p> Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. …”

Residual learning diagnosis detection: an advanced residual learning diagnosis detection system for COVID-19 in industrial internet of things by Zhang, Mingdong, Chu, Ronghe, Dong, Chaoyu, Wei, Jianguo, Lu, Wenhuan, Xiong, Naixue

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Hybrid UNet transformer architecture for ischemic stoke segmentation with MRI and CT datasets by Soh, Wei Kwek, Rajapakse, Jagath Chandana

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Evaluation of population immunity against SARS-CoV-2 variants, EG.5.1, FY.4, BA.2.86, JN.1, JN.1.4, and KP.3.1.1 using samples from two health demographic surveillance systems in Kenya by Lugano, D, Kutima, B, Kimani, M, Sigilai, A, Gitonga, J, Karani, A, Akech, D, Karia, B, Ziraba, AK, Maina, A, Lambisia, A, Omuoyo, D, Mugo, D, Lucinde, R, Owuor, S, Konyino, G, Newman, J, Bailey, D, Nduati, E, Githinji, G, Agoti, CN, Bejon, P, Scott, JAG, Agweyu, A, Warimwe, GM

Modeling of NF/RO membrane fouling and flux decline using real-time observations by Park, Jongkwan, Jeong, Kwanho, Baek, Sangsoo, Park, Sanghun, Ligaray, Mayzonee, Chong, Tzyy Haur, Cho, Kyung Hwa

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The development of CT urography for investigating haematuria by Cowan, N

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15.021J / 11.433J Real Estate Economics, Spring 2004 by Wheaton, William C., 1944-

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Terahertz Antenna Technology for Imaging and Sensing Applications / by Malhotra, Isha, author 643130, Singh, Ghanshyam, author 643131

“…Provides a comprehensive review of terahertz source and detector for imaging and sensing; Discusses photoconductive antenna technology for imaging and sensing; Presents modalities for improving the photoconductive dipole antenna performance for imaging and sensing; Explores applications in tomographic imaging, art conservation and the pharmaceutical and aerospace industries.…”

Galaxy bias in the era of LSST: perturbative bias expansions by Nicola, A, Hadzhiyska, B, Findlay, N, García-García, C, Alonso, D, Slosar, A, Guo, Z, Kokron, N, Angulo, R, Aviles, A, Blazek, J, Dunkley, J, Jain, B, Pellejero, M, Sullivan, J, Walter, CW, Zennaro, M

“…We consider a variety of different simulated galaxy samples and test the performance of the bias models in a tomographic joint analysis of LSST-Y10-like galaxy clustering, galaxy-galaxy-lensing and cosmic shear. …”

Electrical substations mapping for possible communication technologies using QGIs and Google Earth Pro by Zulkifli, Izzati Thaqifah, Azhar, Nayli Adriana, Mohamed Radzi, Nurul Asyikin, Md. Aripin, Mohamad Faruq Syahmi, Mohd. Azmi, Kaiyisah Hanis, Samidi, Faris Syahmi

“…This integration shows the electrical substation data, the possible communication technology ranking, and a map that can be displayed and visualized based on the demographics. The QGIS in this study is used to reclassify the demographics into three main demographics: urban, suburban, and rural areas. …”
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