Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…A transformer encoder with integrated spectral and temporal attention mechanisms captures intricate patterns and long-range dependencies within the EEG signals. …”
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A spatial analysis of gating in Bloemfontein, South Africa by Ferreira Verno, Visser Gustav

“…Metropolitan areas in South Africa have also witnessed a rapid increase in the number and spread of gated developments since the late 1980s. Development of enclosed neighbourhoods has become increasingly popular, gaining widespread support for their utopic lifestyle and safety features. …”
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THE ROLE OF UNEVEN BLOOD OXYGEN SATURATION AND OTHER PERFUSION PARAMETERS IN DEVELOPMENT OF HEMOLYSIS AFTER ON-PUMP CORONARY ARTERY BYPASS GRAFT SURGERY by SVETLANA P. Chumakova, VLADIMIR M. Shipulin, OLGA I. Urazova, VIATCHESLAV V. Novitskiy, SVETLANA E. Barmina

“…After the surgery, such pattern was also observed in patients with moderate hemolysis. …”
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Real time blood detection in CCTV surveillance using attention enhanced InceptionV3 by Adnan Khalil, Fakhre Alam, Dilawar Shah, Irshad khalil, Shujaat Ali, Muhammad Tahir

“…This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attention Modules to enhance spatial and channel-level feature discrimination. The model is further optimized through a proposed attention module that intensifies attention to small and minute blood-related patterns, even under challenging conditions such as occlusions, motion blur, and low visibility. …”
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Domain Knowledge Preservation in Financial Machine Learning: Evidence from Autocallable Note Pricing by Mohammed Ahnouch, Lotfi Elaachak, Erwan Le Saout

“…Machine learning applications in finance commonly employ feature decorrelation techniques developed for generic statistical problems. …”
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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…PD signals were collected using a combination of High-Frequency Current Transformer (HFCT) and Ultra High Frequency (UHF) sensors, capturing time-domain waveforms, frequency-domain spectra, and Phase-Resolved Partial Discharge (PRPD) patterns, from which feature quantities were extracted. …”
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Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction by Tian ZHANG, Zhen SHEN, Tingting SU, Daixin DAI

“…Land use data from three time points (2000, 2010, and 2020) are analyzed to identify the spatiotemporal patterns of carbon storage. A land use transition matrix is constructed to reveal the primary drivers of carbon storage changes. …”
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Development and validation of an interpretable multi-task model to predict outcomes in patients with rhabdomyolysis: a multicenter retrospective cohort studyResearch in context by Chunli Liu, Jie Shi, Fengjuan Wang, Duo Li, Yu Luo, Bofan Yang, Yunlong Zhao, Li Zhang, Dingwei Yang, Heng Jin, Jie Song, Xiaoqin Guo, Haojun Fan, Qi Lv

“…Twenty-two clinical features available within the first 24 h of admission were selected to develop the prediction models. …”
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Dynamic Wetland Evolution in the Upper Yellow River Basin: A 30-Year Spatiotemporal Analysis and Future Projections Under Multiple Protection Scenarios by Zheng Liu, Chunlin Huang, Ting Zhou, Tianwen Feng, Qiang Bie

“…The simulation results of the future spatial pattern of wetlands show that: under the FPS scenario, farmland and related land use will expand significantly, mainly through the development of beaches, dry land and unused land, while under the WPS scenario, wetlands will be strictly protected, the area of water resource features such as rivers, lakes and reservoirs will increase significantly, and land use changes will be more ecologically oriented. …”
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Insights into genetics of floral development in Amborella trichopoda Baill. through genome-wide survey and expression analysis of MADS-Box transcription factors by Sanam Parajuli, Bibek Adhikari, Madhav P. Nepal

“…Amborella trichopoda is a basal angiosperm with simpler floral features, and the genetic and functional roles of MADS-Box genes in floral development remain poorly understood in the species. …”
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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…Grad-CAM visualization was employed to provide insights into the model’s interpretability.ResultsThe 3-branch CNN architecture demonstrated superior performance, achieving an overall test accuracy of 91%, precision of 96%, and recall of 98%, with an area under the curve (AUC) score of 0.9896. Its multi-scale feature extraction pathways were pivotal in effectively addressing overlapping red reflex patterns and subtle variations between classes.ConclusionThis study establishes the feasibility of smartphone-based photorefractive assessment integrated with artificial intelligence for scalable and cost-effective vision screening. …”
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The Role of the West in Evolving World Order, and Russian Politics by A. D. Voskressenski

“…Theoretical and empirical conceptualization of interdependence between external and internal processes, including political component, makes it possible to develop applied theories of competitive regional and national development patterns based on higher cooperative trends in national strategies for modernization and development while defending adequately national interests.…”
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Delineation of single-cell Altas provides new insights for development of coronary artery lesions in Kawasaki disease: bad and good signaling molecules by Qiuping Lin, Qiuping Lin, Xin Lv, Qingzhu Qiu, Lianni Mei, Liqin Chen, Sirui Song, Wei Liu, Xunwei Jiang, Min Huang, Min Huang, Libing Shen, Tingting Xiao, Lijian Xie, Lijian Xie, Lijian Xie

“…Pseudo-time analyses demonstrate that CAL BT patients have a disorganized cell development trajectory with multiple overlapped cell linages and CAL AT patients have a dysregulated B cell developmental trajectory featured with a mixed monocyte and B lineage. …”
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Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study by Zijun Song, Liyong Zhuo, Jiawei Hao, Huan Meng, Tianda Wang, Jian Zhang

“…Conclusion The MPP delayed recovery prediction model, based on 16 radiomics features, D-dimer, SII, and a consolidation pattern, showed excellent predictive performance. …”
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Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning by Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva

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A Novel Hybrid Machine Learning Framework for Wind Speed Prediction by Rhafes Mohamed Yassine, Moussaoui Omar, Raboaca Maria Simona, Mihaltan Traian Candin

“…However, using wind power is challenging due to the variability and unpredictability of wind patterns. Consequently, the ability to predict wind power in advance is crucial. …”
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An Analysis on Tendency Components on Strategic Approach in the Process of Urban Planning in Iran by Hosseini Mahnaz, Ghadami Mostafa

“…Cycle approach, process and partnership as an appropriate model can replaced centralized approach to comprehensive planning features uncompromising and unrealistic used in developing countries, including our country. 2-Materials and Methods The required data and information were collected in two ways, including measuring and library survey. …”
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Post-transcriptional regulation in early cell fate commitment of germ layers by Rubens Gomes-Júnior, Cintia Delai da Silva Horinouchi, Aruana Fagundes Fiuza Hansel-Fröse, Annanda Lyra Ribeiro, Isabela Tiemy Pereira, Lucia Spangenberg, Bruno Dallagiovanna

“…Abstract Background Cell differentiation during development is orchestrated by precisely coordinated gene expression programs. …”
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Clinical features among adult‐onset type 1 diabetes, distribution of subtypes, and differences in probable and definite slowly progressive insulin‐dependent diabetes mellitus: A si... by Hiroko Takaike, Junnosuke Miura, Satoshi Takagi, Shota Mochizuki, Tetsuya Babazono

“…ABSTRACT Aims In Japan, type 1 diabetes (T1D) is classified into three subtypes based on its onset patterns; however, the proportion of each subtype remains unexplored. …”
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Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

“…Using the IoT23 dataset, which contains a wide range of network traffic patterns from various IoT devices and malware families, the research explores and evaluates multiple machine learning techniques. …”
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