Dish-TS: a general paradigm for alleviating distribution shift in time series forecasting by Fan, W, Wang, P, Wang, D, Wang, D, Zhou, Y, Fu, Y

“…Specifically, for better distribution estimation, we propose the coefficient net (Conet), which can be any neural architectures, to map input sequences into learnable distribution coefficients. …”

Tectono-stratigraphic evolution of the foreland fold-and-thrust belt of the United Arab Emirates by Abdelmaksoud, A, Ali, MY, Searle, MP

“…Twelve horizons ranging in age from Miocene to Lower Jurassic were interpreted and mapped. Additionally, we outlined subsurface extent of Sumeini and Hawasina allochthonous nappes. …”

Understanding the oxidation resistance of zirconium alloy at 1000°C based on the formation of a Zr-Sn intermetallic phase and co-precipitation of Sn and Nb by Cui, Z, Liu, J, Liu, G, Tang, G, Liu, X, Meng, R, Lozano-Perez, S, Yun, D, Deng, H

“…Also, TEM energy dispersive spectroscopy (EDS) maps show that Zr-Sn particles invariably accompany the segregation or precipitation of Nb. …”

Sympathetic-neuron-derived neuropeptide Y (NPY) regulates adipose tissue immunometabolic homeostasis by Zhu, Y

“…Our imaging of cleared murine brown and white adipose tissue (BAT and WAT) established that NPY⁺ sympathetic axons are only a minority that mostly maps to the peri-vasculature; our analysis of single-cell RNA-sequencing datasets identifies mural cells as the main NPY-responsive cells in adipose tissues. …”

Poetics of the urban, poetics of the self: a comparative study of selected works by Jorge Luis Borges and Jacques Réda by Puello Alfonso, SL

“…Its primary aim is to analyse the relational phenomenon between the construction of these poets' personal maps of the city and the concomitant formation of the poetic self. …”

The Eoan Group and the politics of coloured opera in apartheid South Africa by Pistorius, JM

“…These labels, however, do not map tidily onto the Eoan Group, with its bewildering narrative of self-empowerment-through-collusion. …”

The four worlds of ‘welfare reality’ – social risks and outcomes in Europe by Ferragina, E, Seeleib-Kaiser, M, Spreckelsen, T

“…We use aggregate longitudinal data for West European countries in order to map welfare outcomes and cluster countries. The cluster results are also assessed for their sensitivity to the choice of different countries, years or indicators. …”

Traversing the complexity of digital construction and beyond through soft skills: experiences of Malaysian architects by Shahruddin, Syafizal, Sonet, Ungku Norani, Azmi, Athira, Zainordin, Nadzirah

“…Practical implications: Furthermore, the developed thematic map serves as a foundational resource for human resource practices aiming to design upskilling and reskilling programs that focus on nurturing soft skills. …”

Bibliometric insights into metal-organic frameworks modified with metal-based materials for hydrogen storage: Prospects, opportunities and challenges by Abdulkadir, B. A., Herma Dina, Setiabudi

“…Visual analytical tools were employed to map research trajectories and identify gaps in the literature. …”
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Bird-Count: a multi-modality benchmark and system for bird population counting in the wild by Wang, Hongchang, Lu, Huaxiang, Guo, Huimin, Jian, Haifang, Gan, Chuang, Liu, Wu

“…To mitigate these challenges, a simple yet effective plug-and-play framework, called Morphology Prior Knowledge Fusion Network (MPKNet), which can be used on-site to help generate a high-precision bird population density map by incorporating morphological prior knowledge, is proposed. …”
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Label-free discrimination of tumorigenesis stages using in vitro prostate cancer bone metastasis model by Raman imaging by Kar, Sumanta, Jaswandkar, Sharad V., Katti, Kalpana S., Kang, Jeon Woong, So, Peter T. C., Paulmurugan, Ramasamy, Liepmann, Dorian, Venkatesan, Renugopalakrishnan, Katti, Dinesh R.

“…Our results showed distinctive spectral differences in Raman imaging between prostate cancer cells and the cells cultured in 3D bone mimetic scaffolds, particularly at 1002, 1261, 1444, and 1654 cm<jats:sup>−1</jats:sup>, which primarily contain proteins and lipids signals. Raman maps capture sub-cellular responses with the progression of tumor cells into metastasis. …”
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Uncovering Fast Solid-Acid Proton Conductors Based on Dynamics of Polyanion Groups and Proton Bonding Strength by Žguns, Pjotrs, Klyukin, Konstantin, Wang, Louis S., Xiong, Grace, Li, Ju, Haile, Sossina M., Yildiz, Bilge

“…In this work, we have mapped the structural, chemical and dynamic properties of solid acids to the elementary steps of the Grotthuss mechanism of proton diffusion. …”
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Engineering synthetic and recombinant human lysosomal β-glucocerebrosidase for enzyme replacement therapy for Gaucher disease by Figueiredo, Lílian L. S., Junior, Wilson L., da Silva Goncalves, Victor W., Ramos, Ester S., D’Almeida, Vania, de Souza, Lucas E. B., Orellana, Maristela D., Abraham, Kuruvilla J., Lichtenstein, Flávio, Bleicher, Lucas

“…We also evaluated conserved and coevolved residues mapped to functionally important positions. Further studies are needed to assess its functionality in a GD animal model. …”
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Information FOMO: The Unhealthy Fear of Missing Out on Information&mdash;A Method for Removing Misleading Data for Healthier Models by Pickering, Ethan, Sapsis, Themistoklis P.

“…We find these instabilities are a result of the complexity of the underlying map and are linked to extreme events and heavy tails. …”
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Non-invasive estimation of the powder size distribution from a single speckle image by Zhang, Qihang, Pandit, Ajinkya, Liu, Zhiguang, Guo, Zhen, Muddu, Shashank, Wei, Yi, Pereg, Deborah, Nazemifard, Neda, Papageorgiou, Charles, Yang, Yihui, Tang, Wenlong, Braatz, Richard D, Myerson, Allan S, Barbastathis, George

“…The latter approach requires an inverse map from the speckle autocorrelation to the particle sizes. …”
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Neural Light Transport for Relighting and View Synthesis by Zhang, Xiuming, Fanello, Sean, Tsai, Yun-Ta, Sun, Tiancheng, Xue, Tianfan, Pandey?, Rohit, Orts-Escolano, Sergio, Davidson?, Philip, Rhemann, Christoph, Debevec?, Paul, Barron, Jonathan T., Ramamoorthi, Ravi, Freeman, William

“…With this learned LT, one can relight the scene photorealistically with a directional light or an HDRI map, synthesize novel views with view-dependent effects, or do both simultaneously, all in a unified framework using a set of sparse observations.…”
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RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design by Zhao, Allan, Xu, Jie, Konakovic-Lukovic, Mina, Hughes, Josephine, Spielberg, Andrew, Rus, Daniela, Matusik, Wojciech

“…In Graph Heuristic Search, we explore the design space while simultaneously learning a function that maps incomplete designs (e.g., nodes in the combinatorial search tree) to the best performance values that can be achieved by expanding these incomplete designs. …”
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Television food advertising towards children : a content analysis of the Singapore advertising landscape and experimental study on the placement of pro-nutritional advertisements by Lim, Glenn Yin De., Lin, Jieying., Tang, Shuxia., Chen, Wendy Jin Jing.

“…This study aims to examine food and beverage (F&B) advertising as well as persuasion strategies in health communication in the form of pro-nutritional advertisements, in the context of children’s television viewing. In Study One, we mapped out the food advertising landscape by content analyzing F&B advertisements (ads) across six television channels over two weeks in Singapore. …”
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Risk assessment model for UAV cost-effective path planning in urban environments by Hu, Xinting, Pang, Bizhao, Dai, Fuqing, Low, Kin Huat

“…We then computed the total risk and generated a risk cost map for path planning. Modified path planning algorithms were used to produce a cost-effective path, and we compared their performances in terms of total risk cost and computational time. …”
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Rare bioparticle detection via deep metric learning by Luo, Shaobo, Shi, Yuzhi, Chin, Lip Ket, Zhang, Yi, Wen, Bihan, Sun, Ying, Nguyen, Binh T. T., Chierchia, Giovanni, Talbot, Hugues, Bourouina, Tarik, Jiang, Xudong, Liu, Ai-Qun

“…Deep metric learning offers a better generatability by using distance information to model the similarity of the images and learning function maps from image pixels to a latent space, playing a vital role in rare object detection. …”
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