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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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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HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data by Zhao, Zhongning, Chen, Jiaxuan, Shi, Yuqi, Hong, Feng, Jiang, Guiyuan, Huang, Haiguang, Zhao, Jinhua

“…The proposed deep learning model, integrating ResNet, LSTM, and MLP, seamlessly synthesizes spatial features from coarse fishing effort distributions, sea surface factor fields, and current fields, while accounting for the temporal relationships within trajectory segments. Evaluated on 1855 East China Sea trawler VMS records and Copernicus Climate Data Store hydrological factor data, HiTrip achieves a 0.20 km interpolation error, meeting a finery 0.005° × 0.005°spatial resolution demand for fishing effort distribution analysis. …”
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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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Know Thy Cell-Free DNA: Early Detection of Microsatellite Instability Using Ultra-Low-Pass Cell-Free DNA Sequences by Lu, Nicole

“…Microsatellites are short segments of repeated DNA motifs (i.e., base pair patterns) that are widespread in our genomes. …”
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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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Flood risk analysis under consideration of river system dynamics and spatial temporal scales by Oliver, Julien

“…The risk-based approach, which quantifies both flooding frequencies and impacts, offers opportunities to design cost-efficient strategies to address all segments of the risk management cycle. While theoretically well established, current methods to quantify flood risks usually fail to capture adequately spatial and temporal dynamics of flood risks. …”
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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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Functional characterisation of multiple sclerosis-­associated single nucleotide polymorphisms in the Eomesodermin region by Leach, O

“…SNPs in two such non-coding DNA segments upstream of the <em>EOMES</em> gene, encoding Eomesodermin (Eomes) have been consistently associated with MS, as well as with the two other autoimmune diseases rheumatoid arthritis (RA) and ankylosing spondylitis (AS). …”

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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Enhancing production performance using sustainable lean supply chain: A case study in an Indonesian shoes manufacturer by Putra, Raditya Abyudaya, Emelia Sari, ., Moengin, Parwadi, Satria, Ridha, Maulidya, Rahmi, Mohd Yazid, Abu

“…The SVSM results are further analyzed using Process Activity Mapping tools to categorize activities into non value added, necessary non value added, and value added segments. The Sustainability Index (SI) is then calculated, incorporating economic, social, and environmental indicators. …”
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A study on giant panda recognition based on images of a large proportion of captive pandas by Chen, Peng, Swarup, Pranjal, Matkowski, Wojciech Michal, Kong, Adams Wai Kin, Han, Su, Zhang, Zhihe, Rong, Hou

“…For panda face recognition, a fully automatic deep learning algorithm which consists of a sequence of deep neural networks (DNNs) used for panda face detection, segmentation, alignment, and identity prediction is developed in this study. …”
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Super-resolution imaging of photogenerated charges on CdS/g-C₃N₄ heterojunctions and its correlation with photoactivity by Wu, Shuyang, Lee, Jinn-Kye, Lim, Pei Chong, Xu, Rong, Zhang, Zhengyang

“…The photoactive species (i.e., e- and h+) were found to be preferentially distributed at the two end segments of CdS nanorods and the edge boundaries of g-C3N4. …”
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A Slip Gap of the 2016 Mw 6.6 Muji, Xinjiang, China, Earthquake Inferred from Sentinel‐1 TOPS Interferometry by Feng, Wanpeng, Tian, Yunfeng, Zhang, Yong, Samsonov, Sergey, Almeida, Rafael, Liu, Peng

“…The inverted best‐fitting coseismic slip model in this study shows that the mainshock was a right‐lateral strike‐slip rupture on the western segment of the Muji fault, with an optimal dip angle of 80°±4°. …”
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Improved 5G network slicing for enhanced QoS against attack in SDN environment using deep learning by Abood, Mohammed Salah, Hua, Wang, Virdee, Bal Singh, He, Dongxuan, Fathy, Maha, Yusuf, Abdulganiyu Abdu, Jamal, Omar, Elwi, Taha A., Alibakhshikenari, Mohammad, Kouhalvandi, Lida, Ahmad, Ashfaq

“…Moreover, network slicing significantly enhances Quality of Service (QoS) by segmenting services based on bandwidth. Future research will concentrate on real-world implementation, encompassing diverse dataset evaluations, and assessing the model's adaptability across varied scenarios.…”
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Modélisation des interactions en Italie du Nord au premier âge du Fer: de la circulation de parures aux réseaux d’influences culturelles by Cicolani, V, Huet, T, Zamboni, L

“…Applied for each period, this segmentation is represented on a map by assigning the color of the groups (clusters) to the sites, thus facilitating spatial reading and geographical interpretation of the results. …”