Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…This decreases the complexity of the model without losing essential information. …”
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Remote Sensing Image Compression via Wavelet-Guided Local Structure Decoupling and Channel–Spatial State Modeling by Jiahui Liu, Lili Zhang, Xianjun Wang

“…However, challenges remain in achieving a balance between fine-detail adaptation and computational efficiency. Mamba, a state–space model (SSM)-based architecture, offers linear-time complexity and excels at capturing long-range dependencies in sequences. …”
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Preparation, microstructure and properties of LaCePr polishing slurry for optical glass CMP by Quanxin ZHANG, Huping LI, Junlong SHI, Ai SU, Guiqing CHEN, Hao XIE, Yupei JIN, Guangshou HU

“…Objectives: In recent years, cerium-based rare earth polishing liquids have been widely used in the field of chemical mechanical polishing (CMP) of glass and other materials due to their excellent selectivity and good polishing efficiency, but their polishing performance needs to be further improved. …”
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Development of a model system for in vitro simulated application testing of neurovascular stent systems by Siewert Stefan, Brandt-Wunderlich Christoph, Streckenbach Felix, Paetow Hagen, Schmidt Wolfram, Stiehm Michael, Langner Sönke, Cantré Daniel, Weber Marc-André, Schmitz Klaus-Peter

“…Trackability in the distal catheter area, which was positioned inside a complex 3D vascular model was analyzed for two neurovascular stent systems (Neuroform EZ 4.0x20 mm and Enterprise VRD 4.5x14 mm) combined with different microcatheters (Excelsior XT-27 Flex, PX Slim Delivery Microcatheter and Prowler Select Plus Infusion Catheter). …”
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Advances in Enrichment and Purification Technology of Ammonium Perrhenate by Hailong Jing, Qidong Zhang, Zhifang Hu, Hongling Jiang, Bowen Gao, Tingan Zhang, Yanxi Yin

“…Furthermore, the paper presents a prospective view on the development of ammonium perrhenate enrichment and purification technology, focusing on the objective of obtaining more selective purification materials and more efficient purification techniques for ammonium perrhenate.…”
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The use of big data on the labor market in HR business processes of organizations in the Republic of Belarus by Alena V. Vankevich, Iryna N. Kalinouskaya

“…A significant regional differentiation of wages was revealed (coefficient of variation 23.8 %), while the average wages in the metropolitan region exceeds the national average ones by 25 %. …”
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An antifouling polydopamine-based fluorescent aptasensor for determination of arginine kinase by Yanbo Wang, Huan Li, Jinru Zhou, Fangting Wang, Yifan Qian, Linglin Fu

“…Simple yet efficient detection methods for food allergens are in urgent need to help people avoid the risks imposed by allergenic food. …”
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High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling by Álvaro Agustín Chávez-Durán, Miguel Olvera-Vargas, Inmaculada Aguado, Blanca Lorena Figueroa-Rangel, Ramón Trucíos-Caciano, Ernesto Alonso Rubio-Camacho, Jaqueline Xelhuantzi-Carmona, Mariano García

“…A set of vegetation indices and texture metrics derived from the multispectral data, optimized by a “Variable Selection Using Random Forests” (VSURF) algorithm, were used to train random forest (RF) models, enabling the modeling of high-resolution maps of litter and duff fuel loads. …”
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Integrating Artificial Intelligence in Medical Education: A Meta-Synthesis of Potentials and Pitfalls of ChatGPT by AHMAD KEYKHA, BEHESHTEH FAZLALI, SARA BEHRAVESH, ZOHREH FARAHMANDPOUR

“…Together, these challenges were further delineated into 11 secondary sub-themes,offering a comprehensive analysis of the complexities involved.Conclusion: The findings suggest that improving educational efficiency, assisting with self-development, enhancing communication skills, creating and expanding curriculum, and improving the learning environment are opportunities for utilizing ChatGPT. …”
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Fine‐Tuning 2D Heterogeneous Channels for Charge‐Lock Enhanced Lithium Separation from Brine by Yaxin Hao, Xin Liu, Yaoling Zhang, Xin Zhang, Zhan Li, Ximeng Chen

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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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Information requirement analysis for establishing intelligent natural language query interfaces in BIM-based construction projects by Mengtian Yin, Zhuoqian Wu, Haotian Li, Mun On Wong, Llewellyn Tang, Shu Tang, Junxiang Zhu

“…Emerging artificial intelligence (AI)-based natural language interface (NLI) systems show significant potential for enabling stakeholders to efficiently retrieve complicated building information models (BIM). …”
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NMR Evaluation of Shale Oil Mobility: Combined Pyrolysis and CO₂ Huff-N-Puff by Jianmeng Sun, Yibo Yao, Fujing Sun, Junlei Su, Jing Lu, Kun Liu, Peng Chi

“…Shale reservoirs exhibit a complex fluid state, with oil and water present in various forms. …”
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In-Depth Analysis of Ka-Band Integrated Commercial Beamformer Non-Idealities in Phased Array Calibration and Pattern Prediction Methods for 5G Scenarios by Jorge Calatayud Maeso, Xiaoliang Sun, Alfonso Tomas Muriel-Barrado, Fernando Rodriguez Varela, Pablo Sanchez-Olivares, Jose-Manuel Fernandez-Gonzalez, Manuel Sierra Castaner

“…The Rotating-element Electric-field Vector (REV) and Control Circuit Encoding (CCE) methods are simulated using a synthetic array with spherical wave expansion driven by output coefficients measured from the beamformer. Simulations are executed to compare the REV method with a Selective-REV variant, designed to enhance coefficient prediction accuracy by leveraging a priori knowledge of phase-shifter amplitude deviations. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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Phenothiazine-Based Nanoaggregates: Dual Role in Bioimaging and Stem Cell-Driven Photodynamic Therapy by Eleonora Calzoni, Alessio Cesaretti, Nicolò Montegiove, Maria Luisa Valicenti, Francesco Morena, Rajneesh Misra, Benedetta Carlotti, Sabata Martino

“…However, a significant obstacle for PDT is the need to selectively deliver photosensitizers to disease sites while minimizing systemic side effects. …”
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Experimental and Numerical Study on Flow and Heat Transfer Characteristics of Additively Manufactured Triply Periodic Minimal Surface (TPMS) Heat Exchangers for Micro Gas Turbine by Xiyuan Su, Yueliang Zhang, Yu Rao, Kirttayoth Yeranee, Xintong Wang

“…This paper proposes two compact, efficient, and lightweight heat exchangers based on triply periodic minimal surfaces (TPMSs). …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…The objective was to evaluate and select the modeling approaches based on (i) data availability, (ii) model complexity, (iii) predictive accuracy, and (iv) sensitivity to input uncertainty. …”
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Depositing Pt nanoparticles on crumpled Ti3C2Tx for enhanced electrochemical sensing by Huaqing Chen, Tianshu Chu, Shundong Ge, Bowei Zhang, Fu-Zhen Xuan, Rui Yin

“…However, realizing highly selective and sensitive detection of dopamine in complex biological environments remains a challenge. …”
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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images by Muhammad Attique Khan, Usama Shafiq, Ameer Hamza, Anwar M. Mirza, Jamel Baili, Dina Abdulaziz AlHammadi, Hee-Chan Cho, Byoungchol Chang

“…Future work will explore its adaptability to additional datasets and optimize its computational complexity for broader deployment.…”
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