Investigating Brain Responses to Transcutaneous Electroacupuncture Stimulation: A Deep Learning Approach by Tahereh Vasei, Harshil Gediya, Maryam Ravan, Anand Santhanakrishnan, David Mayor, Tony Steffert

“…Saliency maps were applied to identify the most critical EEG electrodes, potentially reducing the number needed without sacrificing accuracy. …”
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Social Intelligence Mining: Transforming Land Management with Data and Deep Learning by Mohammad Reza Yeganegi, Hossein Hassani, Nadejda Komendantova

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Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matte... by Gibran Manasseh, Tom Hilbert, Mário João Fartaria, Jeremy Deverdun, Meritxell Bach Cuadra, Bénédicte Maréchal, Tobias Kober, Vincent Dunet

“…Automated prototypes were used for the segmentation and morphometry of brain regions (MorphoBox) and MS lesions (LeManPV). Susceptibility maps were estimated using standard post-processing (RESHARP and TVSB). …”
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Rising from the Ashes. II. The Bar-driven Abundance Bimodality of the Milky Way by Angus Beane, James W. Johnson, Vadim A. Semenov, Lars Hernquist, Vedant Chandra, Charlie Conroy

“…This scenario results in a pronounced abundance bimodality after a post-processing adjustment of the [ α /Fe] of old stars designed to mimic a higher star formation efficiency in dense gas. …”
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Identification and characterization of the powdery mildew resistance in cultivated emmer wheat accession Lxd-682 via bulked segregant RNA sequencing by Jiatong Li, Ningning Yu, Nina Sun, Lige Geng, Yanmin Qie, Dongfeng Zhai, Yuxiang Wang, Linzhi Li, Xueqing Liu, Xusheng Sun, Jiangchun Wang, Ruishan Liu, Guantong Pan, Shengmao Zou, Guohao Han, Yuli Jin, Pengtao Ma

“…Homology-based cloning and sequence alignment further confirmed that PmLxd-682 is identical to Pm4a. qRT-PCR analysis showed that the alternative splicing PmLxd-682-V2 exhibited higher expression level than that of PmLxd-682-V1 post-Bgt invasion, suggesting its prominent role in fighting Bgt invasion. …”
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A concept for fully automated segmentation of bone in ultrasound imaging by Ananth Hari Ramakrishnan, Muthaiah Rajappa, Kannan Krithivasan, Nachiappan Chockalingam, Panagiotis E. Chatzistergos, Rengarajan Amirtharajan

“…Then, the final output from the Chan–Vese is post-processed using a boundary tracing algorithm to get the last automated bone segmented output. …”
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Glial Cell Architecture Dynamics in Dentate Gyrus and CA4 Area of Wistar Rat Hippocampus Following 20-minute Occlusion of Common Carotid Arteries by Anna V. Gorbunova, Dmitry B. Avdeev, Sergey S. Stepanov, Victor A. Akulinin, Alexander S. Stepanov, Anastasia Yu. Shoronova, Artem A. Samsonov

“…All this indicated the probable role of astrocytes in post-ischemic activation of natural neuroprotection mechanisms.…”
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In-Depth Analysis Based on Occupant Behaviour: A Support-Decision Method for Energy-Efficient Retrofitting of 20th Century Buildings by Antonella Mastrorilli, Roberta Zarcone

“…These studies have identified the performance gap between standard occupant behaviour models, based on conventional patterns, and the genuine energy consumption.This article aims at proposing an in-depth analysis methodology based on post-occupancy behavioural energy assessment. …”
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GROUNDWATER POTENTIAL ZONE IDENTIFICATION USING REMOTE-SENSINGBASED/GIS BASED MACHINE AND ANALYTICAL HIERARCHY PROCESS (AHP) FOR ABBAY WATERSHED, EAST AFRICA by Agegnehu Kitanbo Yoshe

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Assessment of ante mortem welfare indicators and the pathophysiology of captive-bolt trauma in equids at slaughter by Katharine A Fletcher, Barbara Padalino, Martina Felici, Daniele Bigi, Georgina Limon-Vega, Andrew Grist, Troy J Gibson

“…To address this evidence gap and explore associations between ante and post mortem factors, the welfare of 62 horses was assessed at a commercial Italian abattoir. …”
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Research on the Movement Patterns of Bed-load Streaky Structure Transport and the Mechanism of Fluid-solid Coupling by YAO Jiateng, XIE Xiaoxi, WANG Hao, ZHAO Lin, XIE Haonan, ZHEN Rongtian

“…Utilizing the open-source program on the VisualSFM platform, images containing control points were processed to yield post-scouring terrain conditions, providing a comprehensive view of the bed surface morphology. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The automated detection and classification of immature macauba (<i>Acrocomia aculeata</i>) fruits is critical for improving post-harvest processing and quality control. In this study, we present a comparative evaluation of two state-of-the-art YOLO architectures, YOLOv11x and YOLOv12x, trained on the newly constructed VIC01 dataset comprising 1600 annotated images captured under both background-free and natural background conditions. …”
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Protein Lactylation: A new jewel in the crown by Ruby Dhar, Arun Kumar, Subhradip Karmakar

“…Lactylation is a newly identified post-translational modification that has emerged as a crucial epigenetic regulator, significantly influencing cellular functions and disease processes. …”
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An Environment Recognition Algorithm for Staircase Climbing Robots by Yanjie Liu, Yanlong Wei, Chao Wang, Heng Wu

“…Firstly, we preprocess the staircase point cloud, mainly using the Statistical Outlier Removal algorithm to effectively remove the outliers in the staircase scene and combine the vertical angular resolution and spatial geometric relationship of LiDAR to realize the ground segmentation in the staircase scene. Then, we perform post-processing based on the point cloud map obtained from LiDAR SLAM, extract the staircase point cloud and project and fit the staircase point cloud by Ceres optimizer, and solve the dimensional information such as depth and height of the staircase by combining with the mean filtering method. …”
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EduFuncSum: a function-wise progressive transformer for code summarization in undergraduate programming education by Yi Rong, Manping Xu, Roubing Li, Lin Xin, Wenting Bao

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Strengthening local capacity for mathematical modelling in low- and middle-income countries: the process and lessons learnt in implementing the first cohort of Nigeria malaria mode... by Chijioke Kaduru, Uche Ibe, Shina Aladeshawe, Adaeze Eche-George, Ganiyat Eshikhena, Dumale Aadum, Bassey Okon, Emmanuel D. Iorkase, Kesiye Leghemo, Oladipo Ogunbode, Chukwu Okoronkwo, Onyebuchi Okoro, Ehimario U. Igumbor, Abisoye Oyeyemi, Perpetua Uhomoibhi, Seye Babatunde

“…The rigorous recruitment process underscores a strong interest in mathematical modelling. …”
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Wetland dynamics in northern Australia’s tropical savanna (1987–2024): a multi-index Google Earth Engine approach for long-term monitoring by Kaline de Mello, Edimilson Rodrigues dos Santos Junior, Erica A. Garcia, Anna E. Richards, Peter Scott Waugh, Jessica Huxley, Simon Linke

“…To address the strong seasonality of tropical wetlands, the classification included separate wet/dry season processing. Post-classification refinement using hierarchical rules and auxiliary datasets helped resolve confusion among spectrally similar classes. …”
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Perceived Values of Zonguldak Central Scrubber Area as an Alternative Approach to Preservation of Industrial Heritage by Nilay Nida Can, Müge Akkar Ercan

“…This paper focuses on the values of this site by examining the pre- and post-industrialization status. As a methodology, conceptual and value mapping have been conducted on the data, of which both 10 semi-structured in-depth interviews with three stakeholder groups: decision-makers, site employees, and researchers and archival data. …”
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Intervention Brigade: A Strategic Process to Improve the Academic Performance of Cookery 9 Students in Bulihan Integrated National High School, Silang, Cavite, Philippines by Ronemie Abril, Paul Jay Payumo, Mark Anthony Abril

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Near Real-Time Flood Monitoring Using Multi-Sensor Optical Imagery and Machine Learning by GEE: An Automatic Feature-Based Multi-Class Classification Approach by Hadi Farhadi, Hamid Ebadi, Abbas Kiani, Ali Asgary

“…Land cover classification is then performed using the Random Forest algorithm with the automatically generated training samples. The final flood map is obtained by subtracting the pre-flood water class from the post-flood image. …”
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