Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

Get full text

The Local Galactic Transient Survey Applied to an Optical Search for Directed Intelligence by Alex Thomas, Natalie LeBaron, Luca Angeleri, Phillip Morgan, Varun Iyer, Prerana Kottapalli, Enda Mao, Samuel Whitebook, Jasper Webb, Dharv Patel, Rachel Darlinger, Kyle Lam, Kelvin Yip, Michael McDonald, Robby Odum, Cole Slenkovich, Yael Brynjegard-Bialik, Nicole Efstathiu, Joshua Perkins, Ryan Kuo, Audrey O’Malley, Alec Wang, Ben Fogiel, Sam Salters, Marlon Munoz, Natalie Kim, Lee Fowler, Ruiyang Wang, Philip Lubin

“…Data processing of 30,000 LGTS images spanning 5 yr is in progress with the TRansient Image Processing Pipeline.…”
Get full text

Evidence of a persistent altered neural state in people with fibromyalgia syndrome during functional MRI studies and its relationship with pain and anxiety. by Patrick W Stroman, Roland Staud, Caroline F Pukall

“…Altered neural signaling in fibromyalgia syndrome (FM) was investigated with functional magnetic resonance imaging (fMRI). We employed a novel fMRI network analysis method, Structural and Physiological Modeling (SAPM), which provides more detailed information than previous methods. …”
Get full text

Methods and Results of the Study of the Phenomenon of Soviet Nostalgia in the Russian Media Space by Ivan V. Suslov, Sofya V. Tikhonova

“…The authors emphasize the changing balance between communicative and cultural memory in the era of digital technologies, as well as the need to develop new methods of analysis to work with huge amounts of data. The review of current studies of Soviet nostalgia in the media space allows us to identify the main vectors of development of Russian digital humanities, as well as analyze the reasons for the continued interest in nostalgic discussions in online communities, social networks and other media platforms. …”
Get full text

FARVNet: A Fast and Accurate Range-View-Based Method for Semantic Segmentation of Point Clouds by Chuang Chen, Lulu Zhao, Wenwu Guo, Xia Yuan, Shihan Tan, Jing Hu, Zhenyuan Yang, Shengjie Wang, Wenyi Ge

“…This paper presents FARVNet, a novel real-time Range-View (RV)-based semantic segmentation framework that explicitly models the intrinsic correlation between intensity features and spatial coordinates to enhance feature representation in point cloud analysis. Our architecture introduces three key innovations: First, the Geometric Field of View Reconstruction (GFVR) module rectifies spatial distortions and compensates for structural degradation induced during the spherical projection of 3D LiDAR point clouds onto 2D range images. …”
Get full text

Raman micro-spectroscopy reveals the metabolic alterations in primary prostate tumor tissues of patients with metastases by Xiaoguang Shao, Bo Liu, Hongyang Qian, Qihan Zhang, Yinjie Zhu, Shupeng Liu, Heng Zhang, Jiahua Pan, Wei Xue

Get full text

Risk Factors for Gout in Taiwan Biobank: A Machine Learning Approach by Liu YR, Nfor ON, Zhong JH, Lin CY, Liaw YP

“…Five machine learning models were used: Bayesian Network (BN), Random Forest (RF), Gradient Boosting (GB), Logistic Regression (LR), and Neural Network (NN). …”
Get full text

MRI Delta-Radiomics and Morphological Feature-Driven TabPFN Model for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer by Yunhua Li BS, Jianfeng Yang MS, Pan Xiao MS, Haibo Liu BS, Yingjun Zhou BS, Xiuqi Yang MS, Gangwen Chen BS, Zhichao Zuo PhD

“…We have developed the Tabular Prior-data Fitted Network (TabPFN) algorithm, which synergistically combines clinical and MR morphological features with delta-radiomics, thereby substantially improving the performance of binary classification. …”
Get full text

Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification by Timo T. Stomberg, Lennart A. Reißner, Martin G. Schultz, Ribana Roscher

“…Attribution methods like Grad-CAM and occlusion sensitivity analysis are frequently used to identify how features contribute to predictions of neural networks. …”
Get full text

Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET by T. Elise Potthoff, Carolin Walter, Daniela Jeising, Daniel Münter, Archana Verma, Eric Suero Molina, Walter Stummer, Martin Dugas, Wolfgang Hartmann, Matthias Dottermusch, Lea Altendorf, Ulrich Schüller, Sophia Scheuermann, Christian Seitz, Thomas K. Albert, Kornelius Kerl

Get full text

The intelligent lift: Artificial Intelligence's growing role in plastic surgery - a comprehensive review by Amr Youssef Arkoubi

“…Convolutional Neural Networks (CNNs) and Artificial Neural Networks (ANNs) demonstrated strong performance in image-based and predictive tasks, respectively. …”
Get full text

The Inhibitory Effect and Adsorption Properties of Testagen Peptide on Copper Surfaces in Saline Environments: An Experimental and Computational Study by Aurelian Dobriţescu, Adriana Samide, Nicoleta Cioateră, Oana Camelia Mic, Cătălina Ionescu, Irina Dăbuleanu, Cristian Tigae, Cezar Ionuţ Spînu, Bogdan Oprea

“…The copper surface characterization was performed using optical microscopy and SEM/EDS analysis. In the KEDG presence, post-corrosion, SEM images showed a network surface morphology including microdeposits with an acicular appearance, and EDS analysis highlighted an upper surface layer consisting of KEDG, sodium chloride, and copper corrosion compounds. …”
Get full text

A Comparison of the Morbidities Associated with Different Early Treatments in Tubo-Ovarian Abscess Patients by Sumanta Saha, Sujata Saha

Get full text

Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology by Yinhu Gao, Peizhen Wen, Yuan Liu, Yahuang Sun, Hui Qian, Xin Zhang, Huan Peng, Yanli Gao, Cuiyu Li, Zhangyuan Gu, Huajin Zeng, Zhijun Hong, Weijun Wang, Ronglin Yan, Zunqi Hu, Hongbing Fu

“…With the development of artificial intelligence (AI) technologies such as deep learning, real-time lesion detection with endoscopic assistance and automated pathological image analysis have shown potential in improving diagnostic accuracy and efficiency. …”
Get full text

Implementation and Impact Assessment of Organic Crop Rotation Techniques for Soil Health Improvement in Temperate Agroecosystems by Shnain Ammar H., Abed Z., Siri Dharmapuri

“…Time series data analysis is performed by LSTM networks to make predictions regarding the trends of soil health as well as to predict the long-term results from crop rotation strategy. …”
Get full text

A Comprehensive Study on the Different Approaches of the Symmetric Difference in Nilpotent Fuzzy Systems by Luca Sára Pusztaházi, György Eigner, Orsolya Csiszár

“…Moreover, this operator retains critical properties including symmetry, neutrality, antitonicity, and invariance under negation, thus making it particularly valuable for various computational and applied domains such as image processing, pattern recognition, fuzzy neural networks, cryptographic schemes, and medical data analysis. …”
Get full text

Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques by Misha Karim, Shah Khalid, Sungyoung Lee, Sulaiman Almutairi, Abdallah Namoun, Mohammed Abohashrh

“…This review bridges the gap between classical techniques, such as Fourier Transform (FT), Wavelet Transform (WT), and Principal Component Analysis (PCA), and advanced Deep Learning (DL) approaches, including Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and emerging Transformer-based architectures. …”
Get full text

Evaluating the effects of volume censoring on fetal functional connectivity by Jung-Hoon Kim, Josepheen De Asis-Cruz, Kevin M. Cook, Catherine Limperopoulos

“…Resting-state functional magnetic resonance imaging (rs-fMRI) has provided critical insights into emerging brain networks in fetuses. …”
Get full text

Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time by Haykel Snoussi, Davood Karimi

“…More importantly, it yields FODs and tractography that are quantitatively comparable and qualitatively highly similar to those from a reliable Hybrid-CSD ground truth, despite using only 30% of the full acquisition data. These findings highlight sCNNs' potential for accurate and clinically efficient dMRI analysis, paving the way for improved diagnostic capabilities and characterization of early brain development with shorter scan times.…”
Get full text

Scaling up thrombectomy care in transitioning health systems: a qualitative study of stroke centres in Canada by Mayank Goyal, Timo Krings, Syed Uzair Ahmed, Tanaporn Jaroenngarmsamer, Alexandre Poppe, Rosalie V McDonough, Arshia Sehgal, Vivek Bodani, Borwornsom Leerapan, Sirintara Singhara Na Ayudhaya

Get full text