Acoustic Control through Gradient Coil Design Using a Finite-Difference-Based Method for MRI by Liyi Kang, Ling Xia

“…The simulation results show that by optimizing coil displacement, the overall SPL can be attenuated by 4 dB over the frequency range from 0 to 3000 Hz with the displacement reduced by about 50%, at the cost of a figure of merit (FOM) loss by about 8%. …”
Get full text

Advancing construction safety: YOLOv8-CGS helmet detection model. by Zhihui Wu, Xiaojia Lei, Munish Kumar

“…To address these issues, we propose an improved helmet detection model, YOLOv8-CGS, which is based on the YOLOv8 architecture and integrates optimization modules such as CBAM (Convolutional Block Attention Module), GAM (Global Attention Mechanism), and SLOU (Smooth Labeling Loss Function). …”
Get full text

Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Furthermore, the implementation of a nonmonotonic strategy for dynamically adjusting the loss function weights significantly boosts the model's detection precision and training efficiency. …”
Get full text

Research on image generation technology based on deep learning by Li Jinchen

“…Based on the above problems, this paper analyzes the methods of improving and optimizing the mainstream image generation algorithm from the perspectives of improving and optimizing the loss function, improving the space modeling, revising the structure of both the generator and discriminator, while speeding up the training process. …”
Get full text

A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements by Aliki D. Mouratidou, Georgios E. Stavroulakis

Get full text

Ab Initio Investigation on the Magnetic Moments, Magnetocrystalline Anisotropy and Curie Temperature of Fe₂P-Based Magnets by Stephan Erdmann, Halil İbrahim Sözen, Thorsten Klüner

“…Nonetheless, to preserve a high MAE, the extent of substitution should be optimized.…”
Get full text

“Locality – Adaptation” Research of Hydropower Resettlement Communities in the Jinsha River Basin: A Case Study of Ludila Hydropower Station by Fang WANG, Zhuoqi LI, Haoyi XU, Jiaqi YAN

“…Through multi-source data fusion (including remote sensing, demographic statistics, and compensation records) and field investigations, the research quantitatively analyzes the “locality – adaptation” reconstruction process of resettlement communities across the three spatial dimensions of living, production, and cultural spaces.Results1) Land cover evolution: Water storage of hydropower station inundates 37.12 km2 of land (including 21.61 km² of high-quality cultivated land), resulting in a loss of 43.68% of settlement production space. 2) Adjustment of architectural space: 65.8% of dwellings in the original villages are traditional timber-earth buildings with a tile roof, which adapt to the climate environment of concentrated rainfall and sufficient sunshine in the Jinsha River Basin. 48.7% of the resettlement sites adopt unified flat roof planning, and 51.3% realize functional optimization through self-construction or renovation, with the average renovation area reaching 230.9 m2. 3) Transformation of livelihood system: The annual compensation mechanism only restores 15.79% of the cultivated land allocation before resettlement, and the proportion of compensation income drops from 82.71% in the initial stage of relocation to 33.15% after long-term resettlement, driving the adjustment of crop structure to high value-added cash crops. 4) Cultural space reconstruction: In the context of the disappearance of traditional water transport functions, the three cultural relics reconstructed in different places show a symbolic turn. …”
Get full text

Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems by Hannah Lange, Guillaume Bornet, Gabriel Emperauger, Cheng Chen, Thierry Lahaye, Stefan Kienle, Antoine Browaeys, Annabelle Bohrdt

“…However, their expressivity comes with the cost of a challenging optimization due to the in general rugged and complicated loss landscape. …”
Get full text

MacroD1 sustains mitochondrial integrity and oxidative metabolism by Ann-Katrin Hopp, Lorenza P. Ferretti, Lisa Schlicker, Amalia Ruiz-Serrano, Udo Hetzel, Francesco Prisco, Anja Kipar, Lukas Muskalla, Elena Ferrari, Carsten C. Scholz, Karsten Hiller, Francisco Verdeguer, Deena M. Leslie Pedrioli, Michael O. Hottiger

“…Hence, our research establishes MacroD1 as a regulator of metabolic homeostasis, which ensures the coordination of cellular carbohydrate flux and optimal mitochondrial function.…”
Get full text

Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…In this paper, the sensitivity logging parameters of median rock grain size are optimized for low permeability sandstone reservoirs using principal component analysis obtained the grain size direction correlation curves (DEN, CNL,GR, and RD) in the study area, and the corresponding loss and activation functions are selected based on the learning characteristics of the nonlinear mapping of the logging data and the BP neural network to ensure that overfitting occurs. …”
Get full text

SNR Enhancement in Phase-Sensitive OTDR with Adaptive 2-D Bilateral Filtering Algorithm by Haijun He, Liyang Shao, Hengchao Li, Wei Pan, Bin Luo, Xihua Zou, Lianshan Yan

“…To simplify the algorithm, a Lorentz spatial function is adopted to replace the original Gaussian function, which has higher practicability. …”
Get full text

Polycaprolactone for Hard Tissue Regeneration: Scaffold Design and In Vivo Implications by Fernanda Ramírez-Ruiz, Israel Núñez-Tapia, María Cristina Piña-Barba, Marco Antonio Alvarez-Pérez, Vincenzo Guarino, Janeth Serrano-Bello

“…In the last thirty years, tissue engineering (TI) has emerged as an alternative method to regenerate tissues and organs and restore their function by implanting specific lineage cells, growth factors, or biomolecules functionalizing a matrix scaffold. …”
Get full text

Determination of cervical vertebral maturation using machine learning in lateral cephalograms by Shahab Kavousinejad, Asghar Ebadifar, Azita Tehranchi, Farzan Zakermashhadi, Kazem Dalaie

“…The proposed model achieved an accuracy of 99.49% and demonstrated a loss of 0.003 on the test set. Conclusion. By employing feature engineering, simplified landmark selection, AER function, data augmentation, and eliminating gender and age features, a model was developed for accurate assessment of skeletal maturation for clinical applications.…”
Get full text

A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…The negative log-likelihood function and pixel loss function are used to accelerate the optimization to generate high-resolution DEM images that are closer to the natural terrain. …”
Get full text

Copper Metabolism and Cuproptosis in Ovarian Cancer by Yuhong Xu, Qiang Wen, Haigang Ding, Jiangjing Shan, Qi Zhang

“…Findings in Brief: Cuproptosis, a copper-dependent mechanism of cell death mechanism, disrupts mitochondrial function by inducing the aggregation of lipoylated proteins and the loss of iron-sulfur (Fe-S) clusters. …”
Get full text

The role of repeat kidney biopsy in patients with lupus nephritis (case report) by N. Yu. Nikishin, E. A. Aseeva, A. A. Mesnyankina, S. K. Soloviev, E. S. Stolyarevich, V. A. Zelenov, A. M. Lila

“…LN is one of the most severe manifestations of SLE and, if not treated promptly and effectively, can lead to rapid and severe loss of kidney function. Despite modern pharmacotherapy, 5–20% of patients develop end-stage renal failure within 10 years of diagnosis of LN. …”
Get full text

Identifying Capsule Defect Based on an Improved Convolutional Neural Network by Junlin Zhou, Jiao He, Guoli Li, Yongbin Liu

“…Then, cross entropy is used as a loss function to measure the prediction performance of the model. …”
Get full text

A Case Report of Non-Traumatic Spinal Cord Injury Following Large Cervicodorsal Syringohydromyelia by Rajeev Kumar Singh, Prince Rohilla, Zubina Khan, Nitika Roy, Shazia Mattu

“…Further research is needed to evaluate potential benefits and optimize treatment protocols. …”
Get full text

Features of pregnancy after simultaneous pancreas-kidney transplantation in patient with type 1 diabetes mellitus. Case report by Madina I. Yevloyeva, Darya U. Savitskaya, Anastasia S. Severina, Minara S. Shamkhalova, Natalia P. Trubitsyna, Marina V. Shestakova

“…Pregnant patients after simultaneous pancreas and kidney transplantation are a high-risk group for adverse events/loss of both fetal and grafts. These risks are significantly reduced with pregnancy planning, regular monitoring of the woman and fetus with timely correction of immunosuppressive therapy, maintenance of target blood pressure and glycemia, selection of optimal timing and method of delivery. …”
Get full text

Modelling of Regional Economy Growth Strategy by I. S. Mezhov, E. V. Kletskova

“…The result of the methodology developed by the authors for planning GRP growth is the procedures for evaluating optimal strategies that allow making informed decisions on the volumes and directions of investing in foreign economic activity, allowing within the available resources to achieve the maximum growth of the regional economy.…”
Get full text