Impact of interspecific competition on African wild dogs (Lycaon pictus) in an ecosystem with artificial perennial water provision by Sandoval Serés, ME

“…Thirdly, I evaluated if African wild dogs avoid large competing predators (leopards, lions and hyaenas) reactively or proactively in space and time at different spatial and temporal scales, using camera trap data to perform generalized linear mixed models, activity pattern overlap and time-to-event analyses (Chapter 4). …”

Extracting kinetic information from short-time trajectories: relaxation and disorder of lossy cavity polaritons by Wu, Andrew, Cerrillo, Javier, Cao, Jianshu

“…Moreover, we generalize TTM to disordered systems by sampling dynamical maps and achieve fast convergence to disordered-averaged dynamics using a small set of realizations. …”
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Interfacial fracture behavior of double-ceramic-layer thermal barrier coating system with segmented structure by Li, Biao, Fan, Xueling, Wang, Tiejun, Zhou, Kun

“…However, the driving forces become insensitive to the top coat properties when the vertical crack density is sufficiently high. Moreover, a design map was constructed for guiding the selections of preferable properties for the segmented DCL-TBCs.…”
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Self-consistent learning of neural dynamical systems from noisy time series by Wang, Zhe, Guet, Claude

“…The embedding dimension is determined iteratively during the training by using the false-nearest-neighbors Algorithm and it is implemented as an attention map to the state vector. This allows for a state space reconstruction without a priori information on the signal. …”
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One-shot yield-cost relations in general quantum resource theories by Takagi, Ryuji, Regula, Bartosz, Wilde, Mark M.

“…Moreover, we introduce a class of channels that generalize twirling maps encountered in many resource theories, and by directly connecting it with resource quantification, we compute analytically several smoothed resource measures and improve our one-shot yield--cost bound in relevant theories. …”
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Fault-tolerant computation meets network coding: optimal scheduling in parallel computing by Li, Congduan, Zhang, Yiqian, Tan, Chee Wei

“…Inspired by network coding in distributed storage for disk failures, we propose coding matrices to strategically map partial computation to available computing units, so that the central unit can reliably reconstruct the results of any failed machine without recalculations to yield the final correct computation output. …”
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Using an ER-specific optogenetic mechanostimulator to understand the mechanosensitivity of the endoplasmic reticulum by Song, Yutong, Zhao, Zhihao, Xu, Linyu, Huang, Peiyuan, Gao, Jiayang, Li, Jingxuan, Wang, Xuejie, Zhou, Yiren, Wang, Jinhui, Zhao, Wenting, Wang, Likun, Zheng, Chaogu, Gao, Bo, Jiang, Liwen, Liu, Kai, Guo, Yusong, Yao, Xiaoqiang, Duan, Liting

“…Our results provide direct evidence for ER mechanosensitivity and tight mechanoregulation of ER functions, placing ER as an important player on the intricate map of cellular mechanotransduction.…”
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Structural modelling of the DNAJB6 oligomeric chaperone shows a peptide-binding cleft lined with conserved S/T-residues at the dimer interface by Söderberg, Christopher A. G., Månsson, Cecilia, Bernfur, Katja, Rutsdottir, Gudrun, Härmark, Johan, Rajan, Sreekanth, Al-Karadaghi, Salam, Rasmussen, Morten, Höjrup, Peter, Hebert, Hans, Emanuelsson, Cecilia

“…Elongated particles (160 × 120 Å) were detected by electron microscopy and single particle reconstruction resulted in a density map of 20 Å resolution into which the DNAJB6 dimers fit. …”
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Extensive promoter-centered chromatin interactions provide a topological basis for transcription regulation by Li, Guoliang, Ruan, Xiaoan, Auerbach, Raymond K., Sandhu, Kuljeet Singh, Zheng, Meizhen, Wang, Ping, Poh, Huay Mei, Goh, Yufen, Lim, Joanne, Zhang, Jingyao, Sim, Hui Shan, Peh, Su Qin, Mulawadi, Fabianus Hendriyan, Ong, Chin Thing, Orlov, Yuriy L., Hong, Shuzhen, Zhang, Zhizhuo, Landt, Steve, Raha, Debasish, Euskirchen, Ghia, Wei, Chia-Lin, Ge, Weihong, Wang, Huaien, Davis, Carrie, Fisher-Aylor, Katherine I., Mortazavi, Ali, Gerstein, Mark, Gingeras, Thomas, Wold, Barbara, Sun, Yi, Cheung, Edwin, Liu, Edison, Sung, Wing-Kin, Snyder, Michael, Ruan, Yijun, Fullwood, Melissa Jane

“…Using genome-wide Chromatin Interaction Analysis with Paired-End-Tag sequencing (ChIA-PET), we mapped long-range chromatin interactions associated with RNA polymerase II in human cells and uncovered widespread promoter-centered intragenic, extragenic, and intergenic interactions. …”
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The critique toward uṣūl al-fiqh literacy of 1890–2023: An offer for development by Khoir, Tholkhatul, Munawaroh, Lathifah, Hassan, Zainudin

“…The data obtained was mapped and analyzed, and its trends were recorded. …”
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Human detection in search and rescue operations using embedded artificial intelligence by Ahmad, Mohd. Ridzuan, Al-Azzani, Ahmed Abdullah Hussein

“…The paper proposes using transfer learning to develop a human detection model with a mean average precision (mAP@0.5) above 90% and compares two deep learning models, MobileNet v2 and EfficientDet. …”
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Machine learning from quantum chemistry to predict experimental solvent effects on reaction rates by Chung, Yunsie, Green, William H.

“…The presented model can provide nearly instantaneous predictions of kinetic solvent effects or relative rate constants for a broad range of neutral closed-shell or free radical reactions and solvents only based on atom-mapped reaction SMILES and solvent SMILES strings.…”
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Soil moisture-based drought monitoring using remote sensing over Africa by Lu, Catherine S.

“…This data was applied at the continental, regional, and country level to reconstruct historical records of drought throughout the SMAP time record (time series) and localities of drought intensities for a given time period (drought maps). Additionally, a methodology of exponential time filtering is explored to convert surface soil moisture from SMAP into root-zone soil moisture, which can be more relevant for agricultural production. …”
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Understanding tumor cell plasticity in spatial transcriptomics with graph attention networks and walk-based pseudotime analysis by Zamora, Izabella

“…The utility of our approach is validated in model systems, specifically in the brain and colon, where it successfully identifies biologically relevant neighborhoods and maps differentiation pathways. When applied to pancreatic ductal adenocarcinoma (PDAC), distinct, conserved neighborhoods within the tissue, including diverse immune and cancer clusters. …”
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Exploiting irregular parallelism to accelerate FPGA routing by Zhu, Alan Y.

“…Of particular relevance is the routing phase, which takes a circuit’s technology-mapped netlist and routes its signals using the switches and wires present on a given FPGA architecture, often with a target of minimizing critical path delay. …”
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Pico-Scale Science for Pedestrian-Scale Solutions (PSS4PSS): A Computational Toolbox Leveraging Molecular Simulation for Pedestrian Dynamics by Chen, Samuel, Collins, Emerson, Cheng, Vincent, Kramer, Kelby, Wang, Gerald

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Indoor localization using Wi-Fi by Siswanto, Hadi

“…An Android application is also developed to illustrate the usage of indoor localization. A map and the user’s estimated location will be shown in the application, and the user is able to get a navigation from their location to any point of interest inside the area of interest.…”
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Object counting for intelligent video surveillance by Zhang, Haobo

“…Convolutional neural network works well for regression or classification tasks, and it also proves its value in generating density maps. It builds an end-to-end regression method. …”
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Autonomous navigation system by Au, Yi Xian

“…When using multiple robots, the agents besides steer clear of obstacles but also prevent collisions with one another, the effects of having unknowledgeable or only vaguely understood maps and states estimate drift increases dramatically [11]. …”
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Object detection in car cabin environment by Lee, Wai Yeong

“…The results were satisfactory, with the EfficientDet-D3 achieving a COCO mAP score of 64.6 on the manually annotated Drive & Act dataset with a latency of 35.4ms.…”
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