Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…The experimental results show that the proposed method outperforms state-of-the-art methods across several public datasets, exhibiting greater robustness and superior visual performance in tasks such as handling complex noise and recovering small targets.…”
Get full text

Crafting desirable climate trajectories with reinforcement learning explored socio-environmental simulations by James Rudd-Jones, Fiona Thendean, María Pérez-Ortiz

“…In the last decades, policymakers increasingly use simulations and computational methods to guide some of their decisions. Integrated Assessment Models (IAMs) are one of such methods, which combine social, economic, and environmental simulations to forecast potential policy effects. …”
Get full text

Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…In contrast, the average PSNR values of the attacked images reached 34.0692 dB, demonstrating the method’s superior robustness and visual quality. Compared to existing zero-watermarking algorithms, the proposed method shows superior robustness and security, making it highly effective for multimedia copyright protection.…”
Get full text

Disease course of Chronic Relapsing Inflammatory Optic Neuropathy (CRION) in a single care center by Luis Enrique MOLINA-CARRIÓN, Josehp LIRA-TECPA, María Pilar JIMÉNEZ-ARELLANO, María Pilar CRUZ-DOMÍNGUEZ, Gabriela MEDINA

“…Demographic and clinical data, including initial presentation, symptoms, number of relapses, time delay in diagnosis, diagnostic methods, and treatment were obtained from clinical files. …”
Get full text

Criteria of evaluating augmented reality applications by M. R. Ablyaev, A. N. Abliakimova, Z. S. Seidametova

“…We provide analysis and evaluation of AR apps through each characteristic using guidelines which we have developed.Materials and Methods. An AR application is a software application that integrates digital visual, audio and other types of content into a real-world environment. …”
Get full text

Machine learning-based prognostic prediction model of pneumonia-associated acute respiratory distress syndrome by Jing Lv, Juan Chen, Meijun Liu, Xue Dai, Wang Deng

“…The model shows good predictive performance and achieves explanatory analysis in combination with SHAP and LIME methods, providing a reliable mortality risk assessment tool for p- ARDS.…”
Get full text

Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…Traditional diagnostic methods, including visual examination and PCR tests, face limitations such as misdiagnoses, high costs, and unavailability in resource-limited areas. …”
Get full text

Comparion of two techniques crosslinking for progressive keratectasia by L. N. Boriskina, I. A. Remesnikov, E. S. Blinkova, E. G. Solodkova

“…Purpose: to compare surgical approaches, features of the postoperative period and functional results of conventional and opti- mized crosslinking techniques.Methods: We followed 2 groups of patients (10 patients, 10 eyes each), treated in Volgograd branch of the S.N. …”
Get full text

Noise2Variance: Dual networks with variance constraint for self‐supervised real‐world image denoising by Hanlin Tan, Yu Liu, Maojun Zhang

“…Visual comparison of results further substantiates the efficacy of the proposed method. …”
Get full text

Mem-based pangenome indexing for k-mer queries by Stephen Hwang, Nathaniel K. Brown, Omar Y. Ahmed, Katharine M. Jenike, Sam Kovaka, Michael C. Schatz, Ben Langmead

“…Methods based on graph pangenomes require a computationally expensive multiple-alignment step, which can leave out some variation. …”
Get full text

Machine-Learning-Based Analysis of Internal Forces in Reinforced Concrete Conical and Cylindrical Tanks Under Hydrostatic Pressure Considering Material Nonlinearity by May Haggag, Mohamed K. Ismail, Ahmed Elansary

“…However, simplified analytical methods fall short in providing an accurate analysis, while traditional methods, such as finite element modeling, can be computationally intensive and time-consuming, especially when dealing with nonlinear material properties and complex geometries, like conical and cylindrical shapes. …”
Get full text

BRCA1 protein expression and subcellular localization in primary breast cancer: Automated digital microscopy analysis of tissue microarrays. by Abeer M Mahmoud, Virgilia Macias, Umaima Al-Alem, Ryan J Deaton, Andre Kadjaksy-Balla, Peter H Gann, Garth H Rauscher

“…Slides were visualized and quantified using the VECTRA Automated Multispectral Image Analysis System and InForm software.…”
Get full text

Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…Through precise feature selection techniques, and using only three key features—Median, Autoregressive coefficients, and Autocorrelation—machine learning models, including Support Vector Machine, K-Nearest Neighbors, and Random Forest, achieved approximately 97% accuracy in detecting virus-infected plants even before the appearance of visual symptoms. This represents superior performance with minimal input data compared to existing methods. …”
Get full text

RECURRENT ANALYSIS OF ENERGY CONSUMPTION OF A METALLURGICAL ENTERPRISE by Anna Bakurova, Iryna Divocha, Kiyko Sergiy, Olesia Yuskiv

“… The subject of the study is the study of models and methods for short-term forecasting of energy consumption in power systems based on recurrent analysis of time series. …”
Get full text

A participatory data-driven approach for unpaved road condition monitoring by Keegan Mbiyana, Mirka Kans

“…Currently, subjective visual surveys and manual methods for monitoring and assessing the condition of unpaved roads dominate, while data-driven objective methods are not commonly applied for maintenance planning and decision-making. …”
Get full text

A NEW APPROACH TO THE DOSING DEGREE OF ANTERIOR TRANSPOSITION OF THE INFERIOR OBLIQUE MUSCLE SURGERY FOR VERTICAL STRABISMUS by A. V. Tereshchenko, Ju. A. Beliy, I. G. Trifanenkova, A. A. Vydrina

“…The search for the optimal methods and principles of surgical  treatment of vertical strabismus caused by hyperfunction  of the inferior oblique muscle, testifies to the relevance of developing new approaches to eliminate hypertropia  depending  on its severit y.The purpose — to  develop  a  method  of dosing  the  degree of anterior transposition of the  inferior  oblique muscle  in the  surgical treatment of vertical  strabismus caused by hyperfunction  of the  inferior oblique muscle  depending  on severit y,  and  to  evaluate  its clinical efficacy.Patients And Methods. …”
Get full text

Association between optical coherence tomography and functionally severe stenosis assessed by quantitative flow ratio in coronary intermediate lesions. by Yuan Xue, Yuchen Zhang, Peng Wu, Yang Yang, Xin Lu, Haoyu Meng

“…ICL was defined as a coronary lesion according to visual estimation with a diameter stenosis between 50% and 90%. …”
Get full text

Clinical and economic studies on pharmacotherapy of malignant neoplasms: the modeling approach by A. G. Tolkushin, S. K. Zyryanov, N. L. Pogudina, M. V. Davydovskaya

“…In so doing, we paid special attention to the model type, the modeling methodology, information on the effectiveness and cost, the cost elements, performance criteria, the assessment of the CeS final results, as well as the possibility of applying these results to the national healthcare system. We used the methods of generalization, systematization, as well as visual-graphical and mathematical modeling. …”
Get full text

Clinical outcomes of DSAEK with pre-cut grafts of thickness more than 150 microns by Aravind Roy, Tanvi Mudgil, Nikita Das, Megana Peddi, Sunita Chaurasia

“…Purpose: To study the clinical outcomes of descemet stripping automated endothelial keratoplasty (DSAEK) with pre-cut lenticules of thickness above 150 microns. Methods: During the study period Jan 2019 to Sept 2020, 1865 pre-cut DSAEK lenticules were prepared at the institute-affiliated eye bank by two trained technicians. …”
Get full text

Local Information-Driven Hierarchical Fusion of SAR and Visible Images via Refined Modal Salient Features by Yunzhong Yan, La Jiang, Jun Li, Shuowei Liu, Zhen Liu

“…Experiments on the YYX-OPT-SAR and WHU-OPT-SAR datasets show that our method outperforms 11 state-of-the-art methods. Ablation studies confirm each component’s contribution. …”
Get full text