Fabrication of a poly(m‑aminophenol)/3-aminopropyl triethoxysilane/graphene oxide ternary nanocomposite for removal of Cu(II) from aqueous solution by Abeer S. Elsherbiny, Mohamed E. Elhalwagy, Ali H. Gemeay

“…PmAP/APTES/GO(6.6) hybrid composite was characterized by different techniques. The adsorption of Cu(II) on this composite was optimized under various experimental conditions. …”
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Dengue Early Warning System and Outbreak Prediction Tool in Bangladesh Using Interpretable Tree‐Based Machine Learning Model by Md. Siddikur Rahman, Miftahuzzannat Amrin, Md. Abu Bokkor Shiddik

“…Results Our study findings detected a nonlinear effect of climatic parameters on dengue at different thresholds such as mean (27°C), minimum (22°C), maximum temperatures (32°C), and relative humidity (82%). …”
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15 % Azelaic acid gel modify the skin microbiota of acne vulgaris by Wenxin Yu, Huchi Shen, Beilei Cai, Yuanruo Xie, Yue Wang, Jing Wang

“…Objective: For AV treatment, 15 % Azelaic acid gel has long been promoted as a safe and efficient therapeutic agent. Our goal was to investigate how the skin microbiota of individuals with acne vulgaris was affected by a 15 % Azelaic acid gel. …”
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Digital Twins Generated by Artificial Intelligence in Personalized Healthcare by Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra Kawala-Sterniuk

“…From a practical point of view, this requires not only efficient validation but also seamless integration with the existing healthcare infrastructure.…”
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Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets by Shereen Ismail, Salah Dandan, Ala'a Qushou

“…Machine learning (ML) has emerged as a highly efficient approach for designing cyber-attack detection systems to improve the security. …”
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TW-YOLO: An Innovative Blood Cell Detection Model Based on Multi-Scale Feature Fusion by Dingming Zhang, Yangcheng Bu, Qiaohong Chen, Shengbo Cai, Yichi Zhang

“…At the same time, utilizing the feature pyramid architecture of YOLO (You Only Look Once), we enhanced the fusion of features at different scales by incorporating the CBAM (Convolutional Block Attention Module) in the detection head and the EMA (Efficient Multi-Scale Attention) module in the neck, thereby improving the recognition ability of blood cells. …”
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A 3D modelling approach to measuring structural characteristics of bird nest interiors by Jing‐Chia Guo, Pei‐Jen Lee Shaner, Chih‐Ming Hung

“…However, we currently lack efficient tools to archive nests and measure their characteristics, particularly concerning enclosed nests. …”
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EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network by Weihao Liu, Xiaoli Li, Bo Hang, Pu Wang

“…Each module leverages different sources of multimodal information, and their fusion enhances the overall accuracy of GPCR-compound interaction (GCI) prediction. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…Accurate soil moisture estimation is fundamental for optimizing irrigation strategies, enhancing crop yields, and managing water resources efficiently. This study harnesses time-series RGB-thermal imagery to assess soil moisture throughout various growth stages of corn, emphasizing depth-specific soil moisture estimation and time-series analysis of canopy information such as canopy structure and canopy spectral across growth stages. …”
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Oxygen-modulated photoresponse in nickel oxide thin films for wide band gap photodetector application by Swati Suman, Anupama Behra, Parasuraman Swaminathan

“…Different ratios of oxygen to argon (10/45, 15/45, and 20/45) during sputtering are investigated, and the effect of oxygen concentration on the optical properties of the NiO film is studied, which helps in modulating the photoresponse of the developed detector. …”
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Seismic risk assessment of typical bridges in Northeastern Brazil through the application of Machine Learning methods by Lucas Filipe Da Ronch, Gustavo Henrique Ferreira Cavalcante, Eduardo Marques Vieira Pereira, Isabela Durci Rodrigues, Thiago Dias dos Santos, Gustavo Henrique Siqueira

“…Here, we present a computationally efficient scheme based on Machine Learning techniques to evaluate the application of artificial intelligence tools, such as Support Vector Machine, Decision Tree and Random Forest, for seismic vulnerability for structures situated in the northeastern region of Brazil. …”
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A Robust Scheme of Vertebrae Segmentation for Medical Diagnosis by Faisal Rehman, Syed Irtiza Ali Shah, Naveed Riaz, Syed Omer Gilani

“…In this paper, we propose a novel and efficient framework to address the subject problem by integrating a parametric level set approach in deep convolutional neural networks. …”
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Spatiotemporal evolution of scouring and silting in Made Island port channel (2015–2023) by Qiang Wang, Guanghui Wang, Hongwei Jiang, Hailong Song, Dianguang Ma, Yu Duan

“…The paper recommends regular topographic monitoring and the implementation of necessary dredging and maintenance measures to ensure the efficient operation and navigational safety of the port.…”
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Soulbound Tokens: Enabler for Privacy-Aware and Decentralized Authentication Mechanism in Medical Data Storage by Biagio Boi, Franco Cirillo, Marco De Santis, Christian Esposito

“…It introduced a new non-fungible token (NFT) type called Soulbound token (SBT) in the medical context, which will facilitate user authentication across different hospitals, effectively creating a federation of interconnected institutions. …”
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Blood urea nitrogen to albumin ratio as predictor of mortality among acute pancreatitis patients in ICU: A retrospective cohort study. by Wei Li, Ning Li, Yujia Zhan, Jun Gu

“…Heterogeneity between different subgroups was excluded by subgroup analysis.…”
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SPAIN AS AN ATTRACTIVE PLACE FOR FOREIGN INVESTMENT by Anatolii O. Zadoia, Khrystyna S. Yavtushynska

“…In order to study the problem from different angles, the media, scientific papers and journals were also involved in gathering the necessary information. …”
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Breast Cancer Classification with Various Optimized Deep Learning Methods by Mustafa Güler, Gamze Sart, Ömer Algorabi, Ayse Nur Adıguzel Tuylu, Yusuf Sait Türkan

“…<b>Methods:</b> In this study, 11 different deep learning algorithms (Vanilla, ResNet50, ResNet152, VGG16, DenseNet152, MobileNetv2, EfficientB1, NasNet, DenseNet201, ensemble, and Tuned Model) were used. …”
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The lived experiences of childhood trauma in war: has post-traumatic growth occurred? by Marzie Hashemi, Maryam Mahmoudzadeh

“…The available evidence points to the fact that, although the war-afflicted participants had to contantly live with the lingering effects of trauma across different stages of their lives, they continued to flourish and remain resilient with efficient stress management.Conclusions: The study emphasizes that, in theoretical terms, unexpected developmental steps are crucial, suggesting that childhood trauma, while commonly associated with negative outcomes, can also lead to growth and resilience in certain circumstances.…”
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Distinct transcriptome and traits of freshly dispersed Pseudomonas aeruginosa cells by Manmohit Kalia, Karin Sauer

“…We used RNA-seq to show that the physiology of freshly dispersed cells from Pseudomonas aeruginosa biofilms is highly different from those of planktonic and biofilm cells, apparent by dispersed cells uniquely expressing 194 genes. …”
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Effect of Fertilization in Companion Cropping Systems of Andean Fruit Trees in the Municipality of Ipiales by Ovidio Javier Moran-Chamorro, Danita Andrade-Díaz, Juan Sebastian Chirivi-Salomon, Pedro Alexander Velasquez-Vasconez

“…This study evaluated three levels of fertilization and interactions between fruit trees at different altitudes, observing differential behavior in the variables evaluated. …”
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