Scalable Hyperspectral Enhancement via Patch-Wise Sparse Residual Learning: Insights from Super-Resolved EnMAP Data by Parth Naik, Rupsa Chakraborty, Sam Thiele, Richard Gloaguen

“…A majority of hyperspectral super-resolution methods aim to enhance the spatial resolution of hyperspectral imaging data (HSI) by integrating high-resolution multispectral imaging data (MSI), leveraging rich spectral information for various geospatial applications. …”
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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…HD causes more number of deaths per year. Hence, the early detection of HD is needed to increase the survival rate. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…Additionally, the experimental results imply that training solely on textual content can yield high prediction accuracy, thereby providing valuable insights into the optimization of fake news detection systems. These findings not only aid in detecting misinformation but also have broader implications for the application of advanced deep learning techniques in public health policy and communication.…”
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UAV-Enabled Diverse Data Collection via Integrated Sensing and Communication Functions Based on Deep Reinforcement Learning by Yaxi Liu, Xulong Li, Boxin He, Meng Gu, Wei Huangfu

“…A diverse data collection framework is established where the uplink communication and sensing functions are both considered, which can also be referred to as the uplink ISAC system. An optimization is formulated to minimize the data freshness indicator for communication and the detection freshness indicator for sensing by optimizing the UAV paths, the transmitted power of IoT devices and UAVs, and the transmission allocation indicators. …”
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Assessment of Microsatellite Genetic Diversity of Cultured Eriocheir sinensis Populations from Jiangsu and Anhui by Yuting HU, Jun LING, He JIANG, Huan WANG, Tingshuang PAN, Guoqing DUAN, Huaxing ZHOU, Min YANG, Tong LI

“…According to the frequency of alleles, mutation-drift equilibrium was detected using Bottleneck software. Genetic structure analysis was performed using the Structure 2.3.4 software. …”
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Precise Rail Transit Sleeper Positioning Technology Based on Improved YOLOv8n Model by YAN Xiaoxia, GUO Jianqin, ZHAI Huchao, LIU Yutao, LI Junxin, WANG Liangxian

“…Based on the YOLOv8n model, a new EIoU (enhanced intersection over union) method is used. Through optimization of loss function and structural constraints on sleeper counting, a sleeper object detection model YOLOv8n_SC is proposed based on the improved YOLOv8n model. …”
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VISUALIZATION OF Nd3+-DOPED LaF3 NANOPARTICLES FOR NEAR INFRARED BIOIMAGING VIA UPCONVERSION LUMINESCENCE AT MULTIPHOTON EXCITATION MICROSCOPY by A. V. Ryabova, K. Keevend, E. Tsolaki, S. Bertazzo, D. V. Pominova, I. D. Romanishkin, P. V. Grachev, V. I. Makarov, I. A. Burmistrov, A. S. Vanetsev, E. O. Orlovskaya, A. E. Baranchikov, M. Rähn, I. Sildos, V. Sammelselg, V. B. Loschenov, Y. V. Orlovskii

“…In this paper we found optimal parameters to excite upconversion luminescence of Nd3++:LaF NPs in living cells and to compare the distribution of the NPs inside the cell culture of human macrophages THP-1 obtained by two methods. …”
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Single-cell sequencing of full-length transcripts and T-cell receptors with automated high-throughput Smart-seq3 by Hsiu-Chun Chuang, Ruidong Li, Huang Huang, Szu-Wen Liu, Christine Wan, Subhra Chaudhuri, Lili Yue, Terence Wong, Venina Dominical, Randy Yen, Olivia Ngo, Nam Bui, Hubert Stoppler, Tangsheng Yi, Silpa Suthram, Li Li, Kai-Hui Sun

“…Abstract We developed an automated high-throughput Smart-seq3 (HT Smart-seq3) workflow that integrates best practices and an optimized protocol to enhance efficiency, scalability, and method reproducibility. …”
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Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort studyResearc... by Michelle H. Lee, Eveline Febriana, Maybritte Lim, Sonia Baig, Liang Shen, Mayank Dalakoti, Nicholas Chew, Tze Ping Loh, Mark Chan, Kee Seng Chia, Alice Pik-Shan Kong, Alex R. Cook, Jeffrey B. Halter, Faidon Magkos, Sue-Anne Toh

“…Interpretation: The ability of 1 h-PG to detect Asians at risk of developing T2DM within three years is on par with 2 h-PG and the optimal cut-off is 10.7 mmol/L. …”
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AdjcorT-RBFNN for Air Quality Classification: Mitigating Multicollinearity with Real and Simulated Data by Siti Khadijah Arafin, Nor Azura Md Ghani, Marshima Mohd Rosli, Nurain Ibrahim

“…The AdjcorT-RBFNN model selects the optimal combination of 9 feature combinations from 10 variables and outperforms the RBFNN model, which uses all 10 variables. …”
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Rapid Prediction of High-Resolution 3D Ship Airwake in the Glide Path Based on CFD, BP Neural Network, and DWL by Qingsong Liu, Gan Ren, Dingfu Zhou, Bo Liu, Zida Li

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Neural network-based three-phase state estimation for unobservable low voltage grids by Andrea Bragantini, Andreas Sumper, Vinicius Gadelha, Samuel Galceran-Arellano

“…With advanced metering infrastructures still in development, learning-based methods for state estimation present a cost-effective alternative for monitoring LV systems. …”
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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images by Farhatullah, Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah

“…The resutlts reveals that the Adam optimizer consistently yields the highest scores across multiple evaluation matrices. …”
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Hierarchical Sensing Framework for Polymer Degradation Monitoring: A Physics-Constrained Reinforcement Learning Framework for Programmable Material Discovery by Xiaoyu Hu, Xiuyuan Zhao, Wenhe Liu

“…This paper introduces a novel physics-informed deep learning framework that integrates multi-scale molecular sensing data with reinforcement learning algorithms to enable intelligent characterization and prediction of polymer degradation dynamics. Our method combines three key innovations: (1) a dual-channel sensing architecture that fuses spectroscopic signatures from Graph Isomorphism Networks with temporal degradation patterns captured by transformer-based models, enabling comprehensive molecular state detection across multiple scales; (2) a physics-constrained policy network that ensures sensor measurements adhere to thermodynamic principles while optimizing the exploration of degradation pathways; and (3) a hierarchical signal processing system that balances multiple sensing modalities through adaptive weighting schemes learned from experimental feedback. …”
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Design of multifunctional intelligent information lamp for mining by Jianbo DAI

“…The test results indicate that: the coulombmeter method can detect the remaining battery power with an accuracy of ±1%. …”
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EGFR and K-ras Mutation Analysis in Non-Small Cell Lung Cancer: Comparison of Paraffin Embedded versus Frozen Specimens by Mariëlle I. Gallegos Ruiz, Karijn Floor, Frank Rijmen, Katrien Grünberg, José A Rodriguez, Giuseppe Giaccone

“…In addition, 10 nucleotide changes, were detected in FPE samples that were not detected in the frozen specimens. …”
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A Generalized Modularity for Computing Community Structure in Fully Signed Networks by Xiaochen He, Ruochen Zhang, Bin Zhu

“…Experiments show that the proposed method can efficiently optimize the objective function and perform effective community detection.…”
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Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality by Abu Shufian, Sowrov Komar Shib, Durjoy Roy Dipto, Md Tanvir Rahman, Nasif Hannan, Shaikh Anowarul Fattah

“…This ensures optimal compensation and consistent voltage regulation across varying operating scenarios. …”
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Possibilities of radionuclide diagnostics of Her2-positive breast cancer using technetium-99m-labeled target molecules: the first experience of clinical use by O. D. Bragina, V. I. Chernov, E. Yu. Garbukov, A. V. Doroshenko, A. G. Vorobyeva, A. M. Orlova, V. M. Tolmachev

“…The main purpose of the Her2/neu status determination in clinical practice is to determine the indications for the appointment of targeted therapy. The main methods for detecting the Her2/neu status are the immunohistochemical method (IHC) and the fluorescence in situ hybridization (FISH); however, despite their widespread use, they have a number of significant disadvantages. …”
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Analysis of Spatial and Temporal Changes and Driving Forces of Ecological Environment Quality in Tuojiang River Basin Based on RSEI Improved Modeling by ZHAO Xiaoyan, TAN Shucheng, ZHANG Su, LI Yongping, WU Han, WANG Chao

“…It is of great significance to carry out the evaluation of the ecological and environmental quality of this basin in order to promote the ecological environmental protection of the upper reaches of the Yangtze River and the high-quality sustainable development of the basin's socio-economy. [Methods] Based on the Google Earth Engine platform, Landsat remote sensing images from 2000 to 2020 were selected to construct an ecological environment quality evaluation model with NDVI, WET, LST, NDBSI, and AI indices, and the coefficient of variation, one-way linear regression, and spatial autocorrelation analysis methods were used to analyze the spatial and temporal evolution pattern of ecological environment quality in the watershed, and to detect the driving force using the optimal parameter Geographic Detector Model(OPGD). …”
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