An optimized ensemble ML-WQI model for reliable water quality prediction by minimizing the eclipsing and ambiguity issues by Ashifur Rahman, M. M. Mahbubul Syeed, Md. Rajaul Karim, Kaniz Fatema, Razib Hayat Khan, Mohammad Faisal Uddin

Get full text

Large language models in critical care by Laurens A. Biesheuvel, Jessica D. Workum, Merijn Reuland, Michel E. van Genderen, Patrick Thoral, Dave Dongelmans, Paul Elbers

Get full text

Enhanced clinical photoacoustic vascular imaging through a skin localization network and adaptive weighting by Chuqin Huang, Emily Zheng, Wenhan Zheng, Huijuan Zhang, Yanda Cheng, Xiaoyu Zhang, Varun Shijo, Robert W. Bing, Isabel Komornicki, Linda M. Harris, Ermelinda Bonaccio, Kazuaki Takabe, Emma Zhang, Wenyao Xu, Jun Xia

Get full text

Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…Numerous IDS models were implemented using the full and feature-selected copies of the datasets with and without normalization. The models were evaluated using popular evaluation metrics in IDS modeling, intra- and inter-model comparisons were performed between models and with state-of-the-art works. …”
Get full text

AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Recognizing and extracting anatomical landmarks facilitates lesion evaluation and enhances diagnostic interpretation. Recent artificial intelligence (AI) segmentation methods employing deep neural networks (DNNs) and transformers encounter computational efficiency challenges to balance the preservation of feature dependencies information with model efficiency, limiting their clinical applicability.MethodsThe anatomical structure recognition framework, MaskHybrid, was developed using a private dataset comprising 34,711 abdominal ultrasound images of 2,063 patients from CSMUH. …”
Get full text

Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma by Minghui Liu, Yi Wei, Tianshu Xie, Meiyi Yang, Xuan Cheng, Lifeng Xu, Qian Li, Feng Che, Qing Xu, Bin Song, Ming Liu

Get full text

Effects of Alzheimer’s disease plasma marker levels on multilayer centrality in healthy individuals by Alejandra García-Colomo, David López-Sanz, Ignacio Taguas, Martín Carrasco-Gómez, Carlos Spuch, María Comis-Tuche, Fernando Maestú

Get full text

Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models by Diogo Duarte, Cidália C. Fonte

Get full text

Equalizer Design: HBOA-DE-trained radial basis function neural networks by Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed

Get full text

Assessment on drag force distribution of a semi-submersible truss fish cage in currents by Hang-Fei Liu, Xiaohua Huang, Guoliang Pang, Gen Li, Taiping Yuan, Yu Hu, Qiyou Tao, Qiyou Tao

“…The present investigation provides a comprehensive evaluation of the drag force distribution on the semi-submersible truss fish cage, which is significant practical engineering implications.…”
Get full text

Considerations of growth factor and material use in bone tissue engineering using biodegradable scaffolds in vitro and in vivo by Karen M. Marshall, Jonathan P. Wojciechowski, Vineetha Jayawarna, Abshar Hasan, Cécile Echalier, Øystein Øvrebø, Tao Yang, Kun Zhou, Janos M. Kanczler, Alvaro Mata, Manuel Salmeron-Sanchez, Molly M. Stevens, Richard O. C. Oreffo

“…The PCL-TMA scaffold and coatings supported angiogenesis and displayed excellent biocompatibility following evaluation on the chorioallantoic membrane assay. No significant (p < 0.05) heterotopic bone formed on the scaffolds within a murine subcutaneous implantation model, compared to the positive control of BMP-2 loaded collagen sponge following examination by micro-computed tomography or histology. …”
Get full text

CFD-based investigation of energy and exergy enhancement in a geothermal heat exchanger with hybrid nanofluid and novel turbulator by As'ad Alizadeh, Joy Djuansjah, Ali Basem, Aman Sharma, Muntadher Abed Hussein, Husam Rajab, Khalil Hajlaoui, R. Thakur

“…The average Nusselt number, pressure drop, and performance evaluation criterion (PEC) are strongly affected by λ, φ, and Re. …”
Get full text

Enhanced Swine Behavior Detection with YOLOs and a Mixed Efficient Layer Aggregation Network in Real Time by Ji-hyeon Lee, Yo Han Choi, Han-sung Lee, Hyun Ju Park, Jun Seon Hong, Ji Hwan Lee, Soo Jin Sa, Yong Min Kim, Jo Eun Kim, Yong Dae Jeong, Hyun-chong Cho

“…To ensure high reliability, a performance evaluation of all techniques was conducted using a k-fold cross-validation (k = 3). …”
Get full text

Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges by Alan G. Lujan-Olalde, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Martin Valtierra-Rodriguez, Jose M. Machorro-Lopez, Juan P. Amezquita-Sanchez

“…The proposed approach is validated using a 3D nine-bay truss-type bridge model encountered in the Vibrations Laboratory at the Autonomous University of Querétaro, Mexico. The evaluation considers three different corrosion levels: (1) incipient, (2) moderate, and (3) severe, along with a healthy condition. …”
Get full text

High-Intensity Statins Promote PCSK9 Secretion and aortic valve calcification in patients with severe aortic stenosis: In vitro and clinical evidence by Veronika A. Myasoedova, Matteo Franchi, Donato De Giorgi, Alice Bonomi, Vincenza Valerio, Sergio Pirola, Niccolò Andreani, Valentina Rusconi, Francesca Bertolini, Ilaria Massaiu, Gianluca Pontone, Paolo Poggio

“…In AS patients, contrast-enhanced computed tomography evaluation showed a higher aortic valve calcium (AVC) content in patients on high-intensity statins compared to low-intensity ones, with no significant difference between low-intensity statin and non-users. …”
Get full text

Clinical profile, surgical management, and outcome of inferior vena cava tumors- A single-team experience by Farooq Ahmad Ganie, Masarat-ul Gani, Shahbaz Bashir, Hakeem Zubair Ashraf, Rohey Jan, Mohd Iqbal Dar, Mudasir Hamid Bhat, Shadab Maqsood

“…The evaluation process comprised a detailed medical history, physical examination, chest X-rays, ultrasound of the abdomen and pelvis with color Doppler imaging, contrast-enhanced computed tomography with computed tomography venography, magnetic resonance venography, two-dimensional echocardiography, and urinary catecholamine level assessment. …”
Get full text

Adaptive Policy-Oriented Cybersecurity: A Decentralized Framework Using Message Passing Algorithms for Dynamic Threat Mitigation by Spyridon Evangelatos, Eleni Veroni, Mariza Konidi, Sophia Karagiorgou, Georgia Dede, Anargyros Baklezos, Christos Nikolopoulos, Panagiotis Sarigiannidis, Sotirios K. Goudos

“…The proposed framework is designed to handle large-scale network environments with minimal computational overhead, relying on localized message exchanges instead of centralized computations. …”
Get full text

Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…Since the 1960s, SFG has been applied in various contexts within computational linguistics (Matthiessen & Bateman, 1991; Teich, 1995). …”
Get full text

Utility of ultrasound imaging in monitoring fracture healing in rat femur: Comparison with other imaging modalities by Satoshi Inoue, Michinori Mori, Masaya Yasui, Miwako Matsuki-Fukushima, Kentaro Yoshimura, Naoko Nonaka

“…Radiological assessments were conducted for the evaluation of calcified tissue. The gap between the bony callus and cartilaginous callus was measured. …”
Get full text

Validation of musculoskeletal segmentation model with uncertainty estimation for bone and muscle assessment in hip-to-knee clinical CT images by Mazen Soufi, Yoshito Otake, Makoto Iwasa, Keisuke Uemura, Tomoki Hakotani, Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki, Suzushi Kusano, Masaki Takao, Seiji Okada, Nobuhiko Sugano, Yoshinobu Sato

“…The model has improved all segmentation accuracy and structure volume/density evaluation metrics compared to a shallower baseline model with a smaller training database (N = 20). …”
Get full text