The Global Multidimensional Poverty Index 2021: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…More specifically, it contains harmonised level estimates and their changes over time of the global MPI and related sub-indices, which have been estimated for the 2021 release. …”

The Global Multidimensional Poverty Index 2022: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…More specifically, it contains harmonised level estimates and their changes over time of the global MPI and related sub-indices, which have been estimated for the 2022 release. …”

The Global Multidimensional Poverty Index 2024: harmonised level estimates and their changes over time by Alkire, S, Kanagaratnam, U, Suppa, N

“…More specifically, it contains harmonised level estimates and their changes over time of the global MPI and related sub-indices, which have been estimated for the 2024 release. …”

Intelligent reflecting surfaces-assisted hybrid THz/RF system over generalized fading by Premanand, Rithwik, Vishwakarma, Narendra, Singh, Ranjan, Madhukumar, A. S.

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Information extraction from bibliography data by Leong, Kai Ling

“…Mann Kendall trend test was the best approach as it was designed to detect trends, and numerous studies over the years have proposed modified versions to accommodate different limitations and types of data. …”
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Association between COVID-19 infection and new-onset dementia in older adults: a systematic review and meta-analysis by Shan, D, Wang, C, Crawford, T, Holland, C

“…Across a median observation period of 12 months post-COVID, the overall incidence of NOD was about 1.82% in the COVID-infected group, compared to 0.35% in the non-COVID-infected group. The overall pooled meta-analysis showed a significantly increased NOD risk among COVID-19 older adult survivors compared to non-COVID-19 controls (RR = 1.58, 95% CI 1.21–2.08). …”

Data-driven modeling of transportation systems and traffic data analysis during a major power outage in the Netherlands by Melnikov, Valentin R., Krzhizhanovskaya, Valeria V., Boukhanovsky, Alexander V., Sloot, Peter M. A.

“…Efficient methods and tools for road network planning and traffic management are critically important in the ever more urbanized world. The goal of our research is the development of a data-driven multiscale modeling approach for accurate simulation of road traffic in real-life transportation networks, with applications in real-time decision support systems and urban planning. …”
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Optimal criteria and their asymptotic form for data selection in data-driven reduced-order modelling with Gaussian process regression by Sapsis, Themistoklis P., Blanchard, Antoine

“…We derive criteria for the selection of datapoints used for data-driven reduced-order modelling and other areas of supervised learning based on Gaussian process regression (GPR). …”
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The development of volcanic ash cloud layers over hours to days due to atmospheric turbulence layering by Bursik, Marcus, Yang, Qingyuan, Bear-Crozier, Adele, Pavolonis, Michael, Tupper, Andrew

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An efficient mechanism for dynamic multicast traffic grooming in overlay IP/MPLS over WDM networks by Cheng, Tee Hiang, Yu, Xiaojun, Xiao, Gaoxi

“…This paper proposes an efficient overlay multicast provisioning (OMP) mechanism for dynamic multicast traffic grooming in overlay IP/MPLS over WDM networks. To facilitate request provisioning, OMP jointly utilizes a data learning (DL) scheme on the IP/MPLS layer for logical link cost estimation, and a lightpath fragmentation (LPF) based method on the WDM layer for improving resource sharing in grooming process. …”
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"Meta-atomless" architecture based on an irregular continuous fabric of coupling-tuned identical nanopillars enables highly efficient and achromatic metasurfaces by Yaǧcl, H. Bilge, Demir, Hilmi Volkan

“…However, to date, a pending and fundamental problem of this approach has been the low device efficiency that such resulting metasurface components suffer, an unwanted side effect of large lattice constants that are used for preventing intercoupling of their meta-atoms. Although the use of near-field coupling for tuning electromagnetic resonances found its use in constructing efficient narrow-band designs, such structures fell short of providing high efficiency over a broad spectrum. …”
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Mechanised Hypersafety Proofs about Structured Data by Gladshtein, Vladimir, Zhao, Qiyuan, Ahrens, Willow, Amarasinghe, Saman, Sergey, Ilya

“…We argue for the effectiveness of relational reasoning about structured data in LGTM by specifying and mechanically proving correctness of 13 case studies including computations on compressed arrays and efficient operations over multiple kinds of sparse tensors.…”
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Effective dietary interventions during pregnancy: a systematic review and meta-analysis of behavior change techniques to promote healthy eating by O’Connor, H, Meloncelli, N, Wilkinson, SA, Scott, AM, Vincze, L, Rushton, A, Dawson, S, Hollis, J, Whiteoak, B, Gauci, S, de Jersey, S

“…Six databases were searched to identify randomised control trials (RCTs) reporting on dietary intake in pregnant women over the age of sixteen, with an active intervention group compared to a control group receiving usual care or less intensive interventions. …”

Data Driven Quality Improvement of Health Professions Education: Design and Development of CLUE – An Interactive Curriculum Data Visualization Tool by Canning, Claire Ann, Loe, Alan, Cockett, Kathryn Jane, Gagnon, Paul, Zary, Nabil

“…CLUE exists independent of institutional systems and in this way, is uniquely positioned to deliver a data driven quality improvement resource, easily adaptable for use by any member of our health care professions.…”
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Task and data allocation in autonomous mobile robots by Tan, Natasha Zhaowen

“…The increasing need for AMR in service industries, particularly those requiring precision and efficiency, such as coffee preparation, emphasizes the importance of advanced task and data allocation methods that improve system performance and adaptability. …”
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Optimized GPU algorithms for sparse data problems by Pham, Nguyen Quang Anh

“…Many important problems in science and engineering today deal with sparse data. Examples of sparse data include sparse matrices, where the number of nonzero values is much smaller than the total number possible and where nonzeros are located in scattered instead of regular positions, and graphs in which the average degree is low and the edge set has an irregular structure. …”
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MIGHTEE: the continuum survey Data Release 1 by Hale, CL, Heywood, I, Jarvis, MJ, Whittam, IH, Best, PN, An, F, Bowler, RAA, Harrison, I, Matthews, A, Smith, DJB, Taylor, AR, Vaccari, M

“…The MeerKAT International GHz Tiered Extragalactic Exploration Survey (MIGHTEE) is one of the large survey projects using the MeerKAT telescope, covering four fields that have a wealth of ancillary data available. We present Data Release 1 of the MIGHTEE continuum survey, releasing total intensity images and catalogues over ∼20 deg2, across three fields at ∼1.2-1.3 GHz. …”

Data-driven fault detection and isolation in DC microgrids without prior fault data: a transfer learning approach by Wang, Ting, Zhang, Chunyan, Hao, Zhiguo, Monti, Antonello, Ponci, Ferdinanda

“…The lack of fault data is the major constraint on data-driven fault detection and isolation schemes for DC microgrids. …”
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Scene understanding based on visual and text data by Ong, Randal Ren Tai

“…In this project, the concept of scene understanding with visual and text data will be applied to the task of video captioning, and its effectiveness would be evaluated. …”
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FMRI denoising and data analysis for medical applications by Singh, Rahul.

“…Functional magnetic resonance imaging (FMRI) data is severely contaminated by noise, in large part due to physiologic noise caused by respiratory and cardiac variations over time. …”
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