Magneto-optical transverse Kerr effect in Co_x(CoO)_1−x nanocomposites by Maxim M. Yashin, Vitaly E. Ryabukhin, Alexey N. Yurasov

“…TKE experimental spectra were studied and Kerr effect spectra in the range of 1.5–3.0 eV were obtained by computer modeling. In this case, the modeling is performed by means of two methods, ignoring and considering the quasiclassical size effect. …”
Get full text

Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Data preprocessing was performed by the method of mapping features into numerical vectors, then the method of bringing the data to the desired dimension was applied. …”
Get full text

Integrative metabolome and genome-wide transcriptome analyses reveal the regulatory network for bioactive compound biosynthesis in lettuce upon UV-A radiation by Lingyan Zha, Shiwei Wei, Xiao Yang, Qingliang Niu, Danfeng Huang, Jingjin Zhang

“…To address this issue, we performed transcriptomic and metabolomic analyses of UV-A-treated lettuce to construct a global map of metabolic features and transcriptional regulatory networks for all major bioactive compounds. …”
Get full text

Case Report: Craniofacial deafness hand syndrome with unusual cardiovascular symptoms and lack of holistic care by Samantha Saenz Hinojosa, Carlos Reyes-Silva, Kazuyoshi Hosomichi, Vanessa I. Romero

“…It also highlights the need for multidisciplinary collaboration and a holistic care model to improve patient outcomes. The unique association of Craniofacial-Deafness-Hand Syndrome with cardiovascular anomalies due to a PAX3 variation provides valuable insights into the genetic underpinnings of this rare condition.…”
Get full text

Variational quantum classifier-based early identification and classification of chronic kidney disease using sparse autoencoder and LASSO shrinkage by P. Parthasarathi, Haya Mesfer Alshahrani, K. Venkatachalam, Jaehyuk Cho

“…With a 99.2% classification accuracy, it was found that this model performed better than the other traditional classifiers used for chronic kidney disease classification.…”
Get full text

Attention with Long-Term Interval-Based Deep Sequential Learning for Recommendation by Zhao Li, Long Zhang, Chenyi Lei, Xia Chen, Jianliang Gao, Jun Gao

“…In this paper, we propose integrating attention mechanism into RNNs for better modeling sequential user behaviors. Specifically, we design a network featuring Attention with Long-term Interval-based Gated Recurrent Units (ALI-GRU) to model temporal sequences of user actions. …”
Get full text

Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…A Genetic Algorithm (GA) is used to optimize the sparse matrix, which effectively selects the most significant features for prediction. The optimized sparse matrix is fed into the BiLSTM model for accurate traffic forecasting. …”
Get full text

An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Finally, the model undergoes fine-tuning in a supervised phase using complete lifecycle data. …”
Get full text

Personal health data protection and intelligent healthcare applications under generative adversarial network by Xiaoyuan Gao, Wei Mi, Xirui Feng

“…Additionally, the model’s accuracy gradually improves as the privacy budget increases. …”
Get full text

INS/LiDAR Relative Navigation Design Based on Point Cloud Covariance Characteristics for Spacecraft Proximity Operation by Dongyeon Park, Hyeongseob Shin, Sangkyung Sung

“…To solve this problem, this paper performed a principal component analysis (PCA) based on ICP to align the initial transformation matrix. …”
Get full text

About revising the computational dynamic scheme of an unmanned aerial vehicle based on the results of ground-based modal test operations in the aeroelasticity problems by S. G. Parafes’

“…The criteria of revising are considered. The features of revising the computational dynamic scheme, while studying the flutter and aeroelastic stability of the ACS-fitted UAV, are presented. …”
Get full text

CSTrans: cross-subdomain transformer for unsupervised domain adaptation by Junchi Liu, Xiang Zhang, Zhigang Luo

“…Of them, the cross-attention as a key component acts for the cross-domain feature alignment, benefiting from its robustness. …”
Get full text

Complete Protection Strategy for Loss of Excitation in Large-Scale Synchronous Condensers Applied to UHVDC Transmission by Zhilin Guo, Liangliang Hao, Jinghan He, Zhengguang Chen, Xingguo Wang

“…Then, excitation current difference between the measured value and equivalent actual value is identified as the new fault feature. Compared with existing reverse reactive power features which also appear in healthy LSC's leading phase conditions, this current difference feature only appears in the LO E process and thus is more typical. …”
Get full text

Arabic speech recognition using end‐to‐end deep learning by Hamzah A. Alsayadi, Abdelaziz A. Abdelhamid, Islam Hegazy, Zaki T. Fayed

“…In addition, a word‐based language model is employed to achieve better results. The end‐to‐end approaches applied in this work are based on state‐of‐the‐art frameworks, namely ESPnet and Espresso. …”
Get full text

Prevalence of hypertension in Indian tribes: a systematic review and meta-analysis of observational studies. by S A Rizwan, Rakesh Kumar, Arvind Kumar Singh, Y S Kusuma, Kapil Yadav, Chandrakant S Pandav

“…Pooled estimates of prevalence of hypertension were calculated using DerSimonian-Laird random effects model. Subgroup and sensitivity analyses and meta-regression were performed.…”
Get full text

Numerical Simulation of Electron Magnetohydrodynamics with Landau-quantized Electrons in Magnetar Crusts by Peter B. Rau, Ira Wasserman

“…Our results suggest that this mechanism could help explain the magnetar heating problem, though due to the effect's temperature-dependence, full magneto-thermal evolution simulations in a realistic stellar model are needed to judge whether it is viable explanation.…”
Get full text

Small town branding for tourism purposes: Working with cultural values by Tatyana Yu. Bystrova

“…The branding integrative model presented in the text provides a more comprehensive vision of this technology. …”
Get full text

Machine-Learning-Assisted Aroma Profile Prediction in Five Different Quality Grades of Nongxiangxing Baijiu Fermented During Summer Using Sensory Evaluation Combined with GC×GC–TOF... by Dongliang Shao, Wei Cheng, Chao Jiang, Tianquan Pan, Na Li, Mengmeng Li, Ruilong Li, Wei Lan, Xianfeng Du

“…Furthermore, we tested eight ML models; random forest (RF) demonstrated the best classification performance, effectively discriminating samples based on their VOC profiles. …”
Get full text

SD-YOLOv5: a rapid detection method for personal protective equipment on construction sites by ChunYa Li, ChunYa Li, Jianhua Wang, Jianhua Wang, Bingfeng Luo, Tubing Yin, Baohua Liu, Baohua Liu, Jianfei Lu

“…This paper presents SD (Small object detection and DilateFormer attention mechanism)-YOLOv5s, an improved PPE detection algorithm based on YOLOv5s, designed to enhance the detection accuracy of small objects, such as helmets, in complex construction environments. The proposed model incorporates a dedicated feature layer for small target detection and integrates the DilateFormer attention mechanism to balance detection performance and computational efficiency. …”
Get full text

Comparative Analysis of Automated and Handheld Breast Ultrasound Findings for Small (≤1 cm) Breast Cancers Based on BI-RADS Category by Han Song Mun, Eun Young Ko, Boo-Kyung Han, Eun Sook Ko, Ji Soo Choi, Haejung Kim, Myoung Kyoung Kim, Jieun Kim

“…Statistical analyses were performed using Bowker’s test of symmetry, a paired <i>t</i>-test, and a cumulative link mixed model. …”
Get full text