Photo-acoustic tomographic image reconstruction from reduced data using physically inspired regularization by Rejesh, Nadaparambil Aravindakshan, Kalva, Sandeep Kumar, Pramanik, Manojit, Arigovindan, Muthuvel

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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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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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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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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. …”

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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21A.112 Seminar in Ethnography and Fieldwork, Fall 2003 by Silbey, Susan S.

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Divine authority and covenant community in contemporary culture by Billingham, J

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21A.348 Photography and Truth, Spring 2005 by Slyomovics, Susan

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Lamaholot of East Flores: a study of a boundary community by Modh, SV

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

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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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Metasomatism of the continental crust and its impact on surface uplift: insights from reactive‐transport modelling by Worthington, JR, Chin, EJ, Palin, RM

“…High-elevation, low-relief continental plateaus are major topographic features and profoundly influence atmospheric circulation, sediment transport and storage, and biodiversity. …”

Study of LIDAR mapping technology by Lin, Xinyuan.

“…High-resolution digital terrain models (DTMs) are essential for many topographic applications such as flood modeling. LIDAR is one of the latest optical remote sensing technologies that used to generate DTM. …”
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Strange mythologies: cultural and linguistic opacity in Argonauts of the Western Pacific by Scott, Bede

“…I then address his conviction that even the most mundane features of social and cultural life carry ethnographic value, allowing the anthropologist to produce a comprehensive overview of any given culture. …”
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Children’s influence on parental yielding on toys with respect to educational value and perceived price. by Li, Xian., Lee, Mildred Sook Han., Tan, Rachael Yan Hang.

“…Parental yielding could be affected by demographics as well as other factors, such as that of the educational value of toys, as well as the price perceptions. …”
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Implicit leadership theory : a study on the perception of military and private sector leaders by Singaporean undergraduates by Indahsuria Mokhtar, Gay, Si Hui, Tang, Shi Yin

“…By considering these inherent demographics, would the student sample yield similar or vastly different results from the military sample? …”
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