Historical information based iterative soft Kalman time-varying channel estimation method by Lu CHENG, Lihua YANG, Zenghao WANG, Jie ZHANG, Yan LIANG

“…For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.…”
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STUDY OF QUALITY INDICATORS AND TECHNOLOGICAL CHARACTERISTICS OF LEAVES, STEMS AND FLOWERS OF <i>INULA VISCOSA </i>(L.) AS PROMISING RAW MATERIALS by R. Mussa, N. V. Sineva, V. V. Vandyshev, S. N. Suslina

“…The technological characteristics of the crushed raw materials are studied: bulk density, bulk mass, absorption coefficients of solvents with different ethanol content, based on the values of which 70% ethanol is selected as extractant for extraction. 70% ethanol is able to extract a multicomponent target complex of substances including phenolic acids, flavonoids, tannins, sesquiterpenoids. …”
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Ground-Level Surface Reconstruction and Soil Volume Estimation in Construction Sites Using Marching Cubes Method by Fattah Hanafi Sheikhha, Jaho Seo, Hanmin Lee

“…Precise 3D representations of complex and dynamic site geometries is essential for obstacle detection, progress monitoring, and safe operation. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…This study presents RDM-YOLO, a computationally efficient deep learning framework derived from YOLOv5s architecture, specifically designed for the automated detection of three essential behaviors (resting, wriggling, and eating) in fourth instar silkworms. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…Cervical cancer continues to pose a significant global health challenge, with early detection remaining the cornerstone for effective intervention. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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Deep Space Insights: Machine Learning Revolutionizing Astrophysical Discoveries by Dutta Samya, Paul Prithwineel

“…It integrates Machine Learning as a highly impressive advancement for making scalable, efficient, and accurate tools for astronomical data which face increasing complexity and volume. …”
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Determination of β-Agonist Residues in Animal-Derived Food by a Liquid Chromatography-Tandem Mass Spectrometric Method Combined with Molecularly Imprinted Stir Bar Sorptive Extract... by Jiwang Tang, Jianxiu Wang, Shuyun Shi, Shengqiang Hu, Liejiang Yuan

“…Good linearities were obtained for six β-agonists with correlation coefficients (R2) higher than 0.994. These results indicated the superiority of the proposed method in the analysis of β-agonists in a complex matrix.…”
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COVID-19 Pandemic as an Indicator of «Blank Spots» in Epidemiology and Infectious Pathology by M. V. Supotnitskiy

“…High transmissibility of SARS-CoV-2 is possible because: the binding energy of S1 protein of the virus with its receptor ACE2 is higher than that of viruses of closely related species; the virus penetrates into the endosomes of the cells more efficiently; because of the work of the replication-transcription complex, which counteracts the innate protective response of cells. …”
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Determination of the metabolites, eicosanoids derived from polyunsaturated fatty acids in Drosophila tissue with high performance liquid chromatography tandem mass spectrometry by TAN Liangliang, SHEN Lirong

“…Obtained results showed that the calibration curves were of good linearity for the 15 metabolites in the range of 2.5-100 ng/mL with the correlation coefficient (r) of 0.991. The limits of detection and quantitation were about 0.1-2.6 ng/g and 0.3-8.7 ng/g, respectively. …”
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Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…Models like convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have shown that they are better at capturing the complex temporal and spectral features of speech. …”
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Shannon entropy approach reveals relevant genes in Alzheimer's disease. by Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro

“…Alzheimer's disease (AD) is the most common type of dementia and affects millions of people worldwide. Since complex diseases are often the result of combinations of gene interactions, microarray data and gene co-expression analysis can provide tools for addressing complexity. …”
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Systems Biology of Recombinant 2G12 and 353/11 mAb Production in CHO-K1 Cell Lines at Phosphoproteome Level by Eldi Sulaj, Felix L. Sandell, Linda Schwaigerlehner, Gorji Marzban, Juliane C. Dohm, Renate Kunert

“…<b>Background</b>: Chinese hamster ovary (CHO) cells are extensively used in the pharmaceutical industry for producing complex proteins, primarily because of their ability to perform human-like post-translational modifications. …”
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Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…This demonstrates its robustness in real scenarios and provides a new idea for recognizing pointers in low-quality images more efficiently and accurately in complex industrial scenarios.…”
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Looking outside the box with a pathology aware AI approach for analyzing OCT retinal images in Stargardt disease by Parisa Khateri, Tiana Koottungal, Damon Wong, Rupert W. Strauss, Lucas Janeschitz-Kriegl, Maximilian Pfau, Leopold Schmetterer, Hendrik P. N. Scholl

“…In severely affected regions, identified by a box detection model, the total retina is segmented as a single layer to avoid errors. …”
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Issues in shale oil core porosity measurement by Jinqing ZHANG, Guoliang TAO, Dai HUANG, Cuijuan LUO, Lingbo LIU, Yunfeng YANG

“…Bulk samples require a long time for pressure equilibrium due to their complex pore tortuosity, while grain samples exhibit improved nanopore connectivity in shale with more pore space detected, making the measurement more accurate and reliable. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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Overview of Oncology: Drug-Induced Cardiac Toxicity by Nilima Rajpal Kundnani, Vincenzo Passini, Iulia Stefania Carlogea, Patrick Dumitrescu, Vlad Meche, Roxana Buzas, Daniel Marius Duda-Seiman

“…Conventional biomarkers alone can only indicate some degree of damage that has already occurred and, therefore, early detection is key. Novel methods like genetic profiling are being developed to detect individuals at risk, prior to the onset of clinical symptoms. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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Advancement in PMN-PT transparent piezoelectric ceramic for photoacoustic/ultrasound dual-mode imaging by Pengkun Guo, Wen Gao, Riqiang Lin, Xiatian Wang, Jiale Lan, Jiaming Zhang, Yanan Wang, Lin Zhu, Yongcheng Zhang, Feng Li, Weijie Zheng, Tianlong Zhao, Kwok-Ho Lam, Xiaojing Gong, Zhihua Xie, Yalin Qin, Shujun Zhang

“…In traditional dual-mode imaging systems, however, the opaque ultrasound transducers are integrated in complex optical and ultrasound paths, leading to compromises in imaging efficiency and sensitivity. …”
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