Ultrasound-guided needle tracking with deep learning: a novel approach with photoacoustic ground truth by Hui, Xie, Rajendran, Praveenbalaji, Ling, Tong, Dai, Xianjin, Xing, Lei, Pramanik, Manojit

“…The evaluation of needle segmentation performance extends across previously unseen ex vivo data and in vivo human data (collected from an open-source data repository). …”
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A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction by Chang, Huibin, Huang, Weimin, Wu, Chunlin, Huang, Su, Guan, Cuntai, Sekar, Sakthivel, Bhakoo, Kishore Kumar, Duan, Yuping

“…On the other hand, the results of brain extraction are compared against manually segmented gold standards, BET, BSE and 3-D PCNN based on a number of metrics. …”
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Crystal structure of the FK506 binding domain of plasmodium falciparum FKBP35 in complex with FK506 by Kotaka, Masayo, Ye, Hong, Alag, Reema, Hu, Guangan, Bozdech, Zbynek, Preiser, Peter Rainer, Yoon, Ho Sup, Lescar, Julien

“…Compared to the human FKBP12−FK506 complex reported earlier, the structure reveals structural differences in the β5−β6 segment that lines the FK506 binding site. The presence in PfFKBD of Cys-106 and Ser-109 (substituting for His-87 and Ile-90, respectively, in human FKBP12), which are 4−5 Å from the nearest atom of the FK506 compound, suggests possible routes for the rational design of analogues of FK506 with specific antiparasitic activity. …”
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Modeling mass removal and sediment deposition in stormwater ponds using floating treatment islands: a computational approach by Xavier, Manoel L. M., Janzen, Johannes G., Nepf, Heidi

“…In cases where both processes occur simultaneously, the presence of FTIs lead to higher mass removal, primarily attributed to the FTIs themselves, particularly in the initial segment. Remarkably, certain FTI configurations enable mass removal exceeding 70% for large sediment particles, even with a pond length less than half of the original.…”
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Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters by Mayer, Daniel W.

“…This work establishes methods and analysis techniques to treat CUORE as a segmented detector in aggregate, with a focus towards identifying and reconstructing track-like signatures induced by high-energy through-going particles traversing the detector array. …”
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Multi-bounce Returns for Specular Surface Mapping from Consumer-grade Flash LiDAR by Lin, Tsung-Han

“…In addition to 3D reconstruction, we show multi-bounce returns help to enhance performances on applications such as segmentation and novel view synthesis. Our method can be combined with these state-of-the-art learned-based model, enhancing its robustness by discerning ambiguous scenarios. …”
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Phonetic Faithfulness in Phonological Opacity by Kim, Yeong-Joon

“…The results of typological surveys encompassing 87 counterfeeding and 65 counterbleeding interactions across languages support this prediction, revealing that opacified processes are subject to a narrow range of markedness conditions, such as coarticulatory assimilation (e.g., palatalization) and durational adjustments (e.g., segmental weakening). Other types of phonological processes, particularly non-natural ones, are only rarely, if ever, opacified. …”
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Game of drones by Wei, LuoBin

“…Augmentation of data-points within gate position via gate segmentation for a more effective trajectory planning is also explored. …”
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Deep learning-based algorithm for synthetic aperture radar despeckling by Wang, Yuxuan

“…However, SAR images inherently suffer from speckle noise, which severely hinders the effective implementation of subsequent tasks such as image segmentation and target detection. Therefore, research on SAR image denoising and target detection technologies is of great significance. …”
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Universal machine learning classifier using extreme learning machines by Chen, Jinnan

“…Also, it can give us some accurate prediction based on the currently collected data and then automatically realize the objective of trend prediction, pattern recognition or segmentation like the development of autonomous vehicles, or the stock market forecasting. …”
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Image processing and machine learning techniques for Chagas disease detection and identification by Rada, Lavdie, Azzawi, Inass, Kumar, Preet, Brito-Loeza, Carlos Francisco, Karabağ, Cefa, Reyes-Aldasoro, Constantino C.

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Building fabric improvement and heat pump deployment: a set of policy conundrums by Killip, G, Topouzi, M, Fawcett, T

“…</p> <br> <p>The paper examines building interventions through the concept of 'trigger points.' It evaluates a segmented market approach and proposes a policy framework that emphasises 'understanding first' as a strategy to facilitate informed decision-making, rather than imposing specific measures. …”

Enhanced Approach of Decision Making in Determining Contemporary Critical Preferential Factors and Location Decisions for Residential Project using MCDM Technique (S/O 13903) by Lamsali, Hendrik, Mad Lazim, Halim, Abdul Rahim, Mohd Kamarul Irwan, Osman, Wan Nadzri, Salleh, Mohamed Najib

“…The study can be further expanded by conducting consumers’ and markets’ segmentation analysis. Developers’ preferences and priorities can also be explored further using the Multiple-criteriadecision-making (MCDM) techniques.…”
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Plan Implementation Challenges in a Shrinking City: A Conformance Evaluation of Youngstown’s (OH) Comprehensive Plan With a Subsequent Zoning Code by Ryan, Brent D., Gao, Shuqi

“…Informants attribute the weak conformance between the comprehensive plan and the Youngstown Redevelopment Code to many of the former’s ideas not being legally defensible. Changing political regimes, shifts in public opinion, and the driving need for economic investment were also cited as contributors to this weak conformance. …”
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Performance Characterization of High-Density Electrospray Thrusters by Corrado, Matthew N., Wangari, Charity, Finch, Michael R., Parameswaran, Lalitha, Cook, Matthew, Holihan, Eric C., Mathews, Richard, Kedzierski, Jakub, Racz, Livia M., Smith, Melissa A., Lozano, Paulo C.

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An Optimal Tradeoff between Entanglement and Copy Complexity for State Tomography by Chen, Sitan, Li, Jerry, Liu, Allen

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Envisioning Water: Sustainability and Future-Making in Dubai and Los Angeles by Christidi, Nadia

“…Second, I consider how these interests, forces, and effects emerge from and get mediated through entrenched structures like bureaucratic systems, accumulation regimes, and sunken investments, which produce a stickiness to infrastructures and infrastructural visions that renders change challenging, slow, and incremental. …”
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Mechanics of Three-Dimensional Micro-Architected Interpenetrating Phase Composites by Chen, Andrew Y.

“…Using these prototypes, we study the mechanical behavior of the fabricated composites under uniaxial compression, with particular emphasis on the non-linear and failure regimes. We show that independent of the material system, the presence of a load-bearing matrix distributes the stress in the composite, contributing to a high-strength, globally stretchingdominated failure behavior, regardless of nodal connectivity. …”
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A Branched Convolutional Neural Network for Forecasting the Occurrence of Hazes in Paris Using Meteorological Maps with Different Characteristic Spatial Scales by Wang, Chien

“…The strategy is to make the machine learn from available historical data to recognize various regional weather and hydrological regimes associated with low-visibility events. To better preserve the characteristic spatial information of input features in training, two branched architectures have recently been developed. …”
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Coherent Terahertz Control and Ultrafast Spectroscopy of Layered Antiferromagnets by Ilyas, Batyr

“…These advancements not only showcase the capability of ultrafast experiments in understanding complex material properties but also demonstrate the manipulation of ordered phases at ultrafast timescales, thereby opening a laboratory for studying materials in nonequilibrium regime. This dissertation contributes to the ongoing effort of developing new ultrafast spectroscopy tools, utilizing them to probe lattice, magnetic, and electronic properties, and gaining active control over them. …”
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