Water Quality Simulation of Reclaimed Water Supply Type Rivers and Application of Metal Organic Frameworks in Phosphorus Pollution Control by Qunbo QIAO, Mingxiang ZHANG, Bingyi HAN, Weihua WANG

“…The model was calibrated and verified through historical monitoring data, and the results showed that chemical oxygen demand (COD) could stably meet the Class V water quality standard, while NH3-N and total phosphorus (TP) could not meet the standard. …”
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INTELLECTUAL DECISION SUPPORT IN INFORMATION SYSTEMS OF PRODUCT QUALITY MANAGEMENT IN THE AI ECONOMY by Argen K. Syiabekov, Zhenishbek K. Belekov, Guzal A. Alimova, Fedor P. Potapov, Olga A. Iurlova

“…The state and dynamics of the development of the AI economy are analysed, its advantages, features, and structure are determined, and examples and perspectives of implementing the tools of AI in the information systems of product quality management by leading technological companies are given. …”
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Ni2+ doped cobalt nano-ferrite for gas sensing application by Arati Chandragupta Mehere, Vyankati Rama Jadhav, Sujata Milind Kasabe, Sopan Mansing Rathod

“…Nickel-doped cobalt ferrite (Ni0.3Co0.7Fe2O4), a transition metal oxide with a spinel structure, is widely used in various industrial applications because of its remarkable properties. …”
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The current state and development trends of frailty research in diabetic patients: a bibliometric analysis by Ziqi Xu, Ziqi Xu, Rui Zhou, Xinran Zhou, Zhengyan Zhang, Qiong Li, Guodong Wang

“…Statistical analysis and data visualization were conducted using Microsoft Excel, R Studio, VOS viewer, and Cite Space 6.3.R1. …”
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Dense Matching with Low Computational Complexity for Disparity Estimation in the Radargrammetric Approach of SAR Intensity Images by Hamid Jannati, Mohammad Javad Valadan Zoej, Ebrahim Ghaderpour, Paolo Mazzanti

“…The two main approaches for deriving elevation models from SAR data are interferometry (InSAR) and radargrammetry. …”
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Bayesian Q-learning in multi-objective reward model for homophobic and transphobic text classification in low-resource languages: A hypothesis testing framework in multi-objective... by Vivek Suresh Raj, Ruba Priyadharshini, Saranya Rajiakodi, Bharathi Raja Chakravarthi

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Endocrine disruptor (17 β-estradiol) removal by poly pyrrole-based molecularly imprinted polymer: kinetic, isotherms and thermodynamic studies by Samaneh Mohebbi, Aram Dokht Khatibi, Davoud Balarak, Maryam Khashij, Edris Bazrafshan, Mohammad Mehralian

“…Various factors such as pH, contact time, dosage, temperature, and concentration were investigated to optimize the performance of the PPy-MIP. The structure of the MIP was confirmed using field emission scanning electron microscopy (FESEM), infrared spectrophotometric spectrum (FTIR), and X-ray diffraction (XRD). …”
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Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models by Minkyoung Shin, Seonggyun Jeong, Yong Seok Heo

“…In industrial manufacturing, anomaly inspection performance is frequently hampered by the scarcity of anomaly data. To address this issue, synthetic anomaly masks and corresponding images are generated using various methods. …”
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Automatic construction of risk transmission network about subway construction based on deep learning models by Yanxiang Liang, Na Xu, Hong Chang, Shan Qian, Yao Liu

“…This research successfully converted accident texts into a causal chain structure of “safety risk factors to risk events,” providing detailed categorization of safety risks and events. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool. …”
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Research on the Positioning Models and Elemental Guarantees of Convention and Exhibition Buildings in Small and Medium-Sized Cities: Based on Empirical Case Studies by Yuchen Xie, Jianhe Luo, Peng Du

“…This research offers theoretical support and practical guidance for the scientific planning and efficient construction of convention and exhibition buildings in small and medium-sized cities, contributing to improved functionality, regional economic growth, and optimized urban spatial structure.…”
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Hierarchical segmentation framework with dynamic parameter optimization for accurate stem-leaf partitioning and phenotypic extraction in maize by Yingjie Zhao, Dongjie Liu, Jiangtan Yao, Zhen Wang, Xuanyu Mu, Zongwei Jia

“…The proposed method was systematically evaluated on maize plant point cloud data at multiple growth stages, and compared with manually annotated results. …”
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InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

“…Traditional machine learning relies on manually engineered features from limited data, leading to suboptimal performance. In contrast, deep learning excels at extracting features from raw sequences but often overlooks essential biological context features, hindering effective binding prediction. …”
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The vaccine-site microenvironment: impacts of antigen, adjuvant, and same-site vaccination on antigen presentation and immune signaling by Craig L Slingluff, Pankaj Kumar, Max O Meneveau, Kevin T Lynch, Sapna P Patel

“…False discovery rate corrected p values <0.05 were considered significant.Results We found that addition of peptide antigens to IFA enhanced antigen presentation pathways and a tertiary lymphoid structure gene-signature locally at the VSME. Addition of pICLC to IFA + peptide induced an immunologically favorable VSME 1 week after injection but had little impact on the VSME after three injections, compared with IFA + peptide alone. …”
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Cutting-edge dynamics and research hotspots on boswellic acid in cancer: a bibliometrics analysis from 1994 to 2024 by Minghe Lv, Lei Tang, Yue feng, Su Zeng, Hongwei Zeng, Jingping Yu, Qing Ji, Ruping Zhao

“…The primary objective of this study was to provide a comprehensive overview of the research landscape, knowledge structure, and emerging trends surrounding boswellic acid and its potential use in oncology. …”
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Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…Within the system, the stability and reliability of the power supply are affected by the rapid adjustment of the energy structure. Outside the system, the frequent occurrence of extreme weather events also poses a considerable threat to the stable operation of the power system. …”
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Assessing acceptability of pre-exposure prophylaxis (PrEP) among participants in an HIV vaccine preparedness study in southwestern Uganda. by Sarah Nakamanya, Rachel Kawuma, Denis Kibuuka, Sylvia Kusemererwa, Sheena McCormack, Eugene Ruzagira, Janet Seeley, PrEPVacc Study Group

“…The Theoretical Framework of Acceptability was used to structure a thematic framework approach for data analysis.…”
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Critical review of current understanding of passive façade design in residential buildings by Yilin Lee, Edward Ng

“…Common focus domains were grouped into following research clusters: aesthetics, acoustics, structure, sustainability, pathology, thermal comfort, and natural ventilation, energy efficiency and building performance. …”
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Additive Manufacturing of Cobalt-Based Dental Alloys: Analysis of Microstructure and Physicomechanical Properties by Leonhard Hitzler, Frank Alifui-Segbaya, Philipp Williams, Burkhard Heine, Michael Heitzmann, Wayne Hall, Markus Merkel, Andreas Öchsner

“…Similarly, the interlaced weld-bead structures in AB Co-Cr-W were removed during heat treatment, which led to a complete recrystallization of the microstructure. …”
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Implementation of Aerosol Mie Scattering in POSEIDON with Application to the Hot Jupiter HD 189733 b’s Transmission, Emission, and Reflected Light Spectrum by Elijah Mullens, Nikole K. Lewis, Ryan J. MacDonald

“…We additionally explore how retrieval model choices such as cloud parameterization, aerosol species and properties, and thermal structure parameterization affect retrieved atmospheric properties. …”
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