DS-SwinUNet: Redesigning Skip Connection With Double Scale Attention for Land Cover Semantic Segmentation by Zirui Shen, Wanjie Liu, Sheng Xu

“…Despite significant advancements in semantic segmentation models for remote sensing, a critical gap remains in effectively capturing both local and global contextual information. …”
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Extortions and fines of the Nogai family aristocracy, reflected in Ottoman documents by Paşaoğlu D.D., Mirgaleev I.M.

“…The lifestyle of the Nogais corresponded to the steppe culture; they moved between pastures and winter quarters and were engaged in cattle breeding. …”
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Ecological risk assessment of marine resources caught as bycatch in industrial bottom trawl shrimp fishery in the Amazon Continental Shelf by Ualerson I. Peixoto, Ualerson I. Peixoto, Ualerson I. Peixoto, Miriana Sporcic, Alistair J. Hobday, Bianca Bentes, Bianca Bentes, Rafaela Passarone, Flavia Lucena Fredou, Victoria Judith Isaac, Victoria Judith Isaac

“…The SICA identified that the main risk was related to fishing capture activities, potentially impacting the species’ population size. …”
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FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection by Gege Ding, Yuhang Shi, Zhenquan Liu, Yanjuan Wang, Zhixuan Yao, Dan Zhou, Xuexiu Zhu, Yiqin Li

“…Secondly, the SIoU (SCYLLA-IoU) algorithm was employed to replace the CIoU (Complete IoU) loss function in the original model, addressing the issues of unstable convergence. Finally, we captured and constructed a microalgae dataset containing 6300 images of seven species of microalgae, addressing the issue of a lack of microalgae cell datasets. …”
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Scanless laser waveform measurement in the near-infrared by Tran-Chau Truong, Yangyang Liu, Dipendra Khatri, Yuxuan Zhang, Bonggu Shim, Michael Chini

“…By using a crossed-beam geometry, the temporal evolution of the perturbing field is mapped onto a transverse spatial axis of the nonlinear medium, and the waveform is captured in a single measurement of the spatially resolved fluorescence emission from the crystal. …”
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Modeling the Hydrodynamic Pressure Field and Wake Field Characteristics of an Underwater Vehicle and Studying Their Correlation by Peihao Li, Hui Deng, Bingrui Xu, Weixue Xia, Wenbin Yi

“…A high grid density and the LES turbulence model are needed to accurately capture information about the wake field’s flow field. …”
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Assessment of Negative Symptoms in Schizophrenia: From the Consensus Conference-Derived Scales to Remote Digital Phenotyping by Armida Mucci, Stefan Leucht, Giulia M. Giordano, Luigi Giuliani, Sophia Wehr, Lucia Weigel, Silvana Galderisi

“…Complementing these traditional methods, remote digital phenotyping offers a novel approach by leveraging smartphones and wearable technology to capture real-time, high-resolution clinical data. …”
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Vision Transformers for Image Classification: A Comparative Survey by Yaoli Wang, Yaojun Deng, Yuanjin Zheng, Pratik Chattopadhyay, Lipo Wang

“…Transformers were initially introduced for natural language processing, leveraging the self-attention mechanism. …”
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Discovering Tree Architecture: A Comparison of the Performance of 3D Digitizing and Close-Range Photogrammetry by Kristýna Šleglová, Marek Hrdina, Peter Surový

“…However, it struggled with capturing intricate structures, overestimating volumetric values and underestimating branch lengths and counts. …”
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Application of fluid dynamics in modeling the spatial spread of infectious diseases with low mortality rate: A study using MUSCL scheme by Nnaji Daniel Ugochukwu, Kiogora Phineas Roy, Onah Ifeanyi Sunday, Mung’atu Joseph, Aguegboh Nnaemeka Stanley

“…The Monotone Upwind Scheme for Conservation Laws is employed to enhance the accuracy of numerical solutions, providing a high-resolution approach for capturing disease transmission patterns. The model’s analogy between fluid flow and epidemic propagation reveals critical insights into how diseases disperse geographically, influenced by factors like human mobility and environmental conditions. …”
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A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism by Fan Wang, Aihua Liu, Chunyang Qu, Ruolan Xiong, Lu Chen

“…However, existing models often struggle with comprehensive feature extraction, especially in capturing the complex behavior of power machinery, where non-linear degradation patterns arise under varying operational conditions. …”
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Systematic review of functional magnetic resonance imaging (fMRI) applications in the preoperative planning and treatment assessment of brain tumors by Hamad Yahia Abu Mhanna, Ahmad Fairuz Omar, Yasmin Md Radzi, Ammar A. Oglat, Hanan Fawaz Akhdar, Haytham Al Ewaidat, Abdallah Almahmoud, Abdel-Baset Bani Yaseen, Laith Al Badarneh, Omar Alhamad, Laith Alhamad

“…This extensive analysis encompasses the scrutiny of resting-state fMRI (Rs-fMRI) as a method of capturing functional connectivity, thereby providing significant insights into the management of patients with brain tumors. …”
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SINDy and PD-Based UAV Dynamics Identification for MPC by Bryan S. Guevara, José Varela-Aldás, Daniel C. Gandolfo, Juan M. Toibero

“…Both methodologies leverage data-driven strategies to construct compact and interpretable models from experimental data, capturing significant nonlinearities with high fidelity. …”
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Solar model independent constraints on the sterile neutrino interpretation of the Gallium Anomaly by M.C. Gonzalez-Garcia, Michele Maltoni, João Paulo Pinheiro

“…The dependence on the normalization of the capture rate in the solar Gallium experiments is also quantified. …”
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Predicting drug and target interaction with dilated reparameterize convolution by Moping Deng, Jian Wang, Yiming Zhao, Yongjia Zhao, Hao Cao, Zhuo Wang

“…The reparameterization method is introduced to help large-kernel convolutions capture small-scale information. We have also developed a gated attention mechanism to more efficiently characterize the interaction of drugs and targets. …”
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Investigation of Vertical Profiles of Particulate Matter and Meteorological Variables up to 2.5 km in Altitude Using a Drone-Based Monitoring System by Woo Young Kim, Sang Gu Lee, Handol Lee, Kang-Ho Ahn

“…In this study, a drone-based measurement system equipped with miniaturized optical and condensation particle counters was deployed to investigate the vertical distribution of particulate matter and meteorological variables up to 2.5 km in altitude. Measurements captured at various altitudes demonstrated notable vertical variations in particle concentration and significant correlations with meteorological factors, particularly relative humidity (RH). …”
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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

“…This model processes a triad of cardio cycles—the preceding, current, and following cycles—to capture temporal dependencies and hidden features related to arrhythmias. …”
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An intelligent humidity sensing system for human behavior recognition by Huabin Yang, Qiming Guo, Guidong Chen, Yuefang Zhao, Meng Shi, Na Zhou, Chengjun Huang, Haiyang Mao

“…This significant improvement enables the capture of weak humidity variations in exhaled gases, while the thermistor continuously monitors the sensor’s temperature during use and provides crucial temperature information related to respiration. …”
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Dual-Channel Deepfake Audio Detection: Leveraging Direct and Reverberant Waveforms by Gunwoo Lee, Jungmin Lee, Minkyo Jung, Joseph Lee, Kihun Hong, Souhwan Jung, Yoseob Han

“…Previous approaches have attempted to capture deepfake features by combining video and audio content; however, these methods are ineffective when video and audio are mismatched due to occlusion. …”
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An epidemiological modeling investigation of the long-term changing dynamics of the plague epidemics in Hong Kong by Salihu S. Musa, Shi Zhao, Winnie Mkandawire, Andrés Colubri, Daihai He

“…By fitting our model to historical pneumonic plague data, we accurately capture the incidence curves observed during the epidemic periods, which reveals some crucial insights into the dynamics of pneumonic plague transmission by identifying the epidemic driving factors and quantities such as the lifespan of flea vectors, the rate of rodent spread, as well as demographic parameters. …”
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