An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…It uses fast dimensionality reduction, asymmetric convolution decomposition, and pooling to suppress the accumulation of parameters, then reducing the algorithmic complexity; The ECA is adopted to reweight the output features of Inception in different channels, enabling the RIE model to focus on information that is more relevant to gestures. 52-, 49-, and 52-class gesture recognition experiments are conducted on NinaPro DB1, DB3, and DB4 datasets, which contain 14,040, 3234, and 3120 gesture samples, respectively. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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PRODEM: an annual series of summer DEMs (2019 through 2022) of the marginal areas of the Greenland Ice Sheet by M. Winstrup, H. Ranndal, S. Hillerup Larsen, S. B. Simonsen, K. D. Mankoff, K. D. Mankoff, K. D. Mankoff, R. S. Fausto, L. Sandberg Sørensen

“…The PRODEMs are validated using leave-one-out cross-validation, and PRODEM19 is further validated against an external data set, showcasing their ability to correctly represent surface elevations within the associated spatially varying prediction uncertainties. We observe a general lowering of surface elevations during the 4-year PRODEM period, but the spatial pattern of change is highly complex and with annual changes superimposed. …”
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Temperature-induced corrosion of the TRIGA 2000 research reactor tank liner in long-term normal operation by Veri Trisnawan, Prasetyo Basuki, Hakimul Wafda, Yayat Supriyatna, Djoko Hadi Prajitno, Maykel Manawan, Roziq Himawan, Deddy Kurniadi

“…Future studies will integrate axial and radial coupon placement with neutron and gamma flux mapping to improve spatial resolution and enhance predictive aging models for reactor tank liner.…”
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A comprehensive evaluation of satellite-based and reanalysis soil moisture products over the upper Blue Nile Basin, Ethiopia by Addis A. Alaminie, Sofie Annys, Jan Nyssen, Mark R. Jury, Giriraj Amarnath, Muluneh A. Mekonnen, Seifu A. Tilahun

“…Establishing these networks is essential for improving satellite retrievals and modelling in the upper Blue Nile Basin, Ethiopia.…”
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Palsa mires of the Northern Hemisphere: environmental characteristics, degradation, and morpho-ecological state by Oona Leppiniemi

“…The main objective of this thesis is to provide a comprehensive understanding of the environmental factors influencing the occurrence and morpho-ecological state of palsa mires, and to predict future changes in palsa distribution. To achieve this, the thesis employs a multi-scale approach, integrating remote sensing data and statistical modelling across spatial scales ranging from circumpolar to local. …”
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Lightweight Pepper Disease Detection Based on Improved YOLOv8n by Yuzhu Wu, Junjie Huang, Siji Wang, Yujian Bao, Yizhe Wang, Jia Song, Wenwu Liu

“…However, during its production process, chili peppers are affected by pests and diseases, resulting in significant yield reduction due to the temperature and environment. In this study, a lightweight pepper disease identification method, DD-YOLO, based on the YOLOv8n model, is proposed. …”
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Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…Six standard databases were utilized, achieving an average accuracy of 90.23% with our proposed model, showcasing a 3–4% average accuracy improvement and a 10% variance reduction. …”
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Toward skillful forecasting of super El Niño events using a diffusion-based westerly wind burst parameterization by Chaopeng Ji, Mu Mu, Bo Qin, Tao Lian, Shijin Yuan, Jie Feng, Xunshu Song, Yuntao Wei, Guokun Dai, Jinyu Wang, Xianghui Fang

“…The DDPM-based scheme effectively captures observed WWBs’ characteristics (e.g., frequency, intensity, and spatial center). When implemented in the Community Earth System Model, it outperforms both the control (CTRL, without WWBs parameterization) and conventional warm pool eastern edge (WPEE)-dependent parameterization in predicting intensity and seasonal phase-locking for super El Niños (1982/83, 1997/98, 2015/16). …”
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Local Adaptation and Climate Change Vulnerability of the Relict Tree Species Taiwania cryptomerioides Provide Insights Into Its Conservation and Restoration by Yang Lu, Hao Dong, Saibin Fan, Lu Yuan, Yuhui Wang, Zhuang Zhao, Yong Lai, Shixin Zhu, Jinyong Huang, Caipeng Yue, Yongpeng Ma, Ningning Zhang

“…Here, we applied a landscape genomics approach to investigate the population genetic structure and predict adaptive capacity to climatic change for Taiwania cryptomerioides Hayata, a vulnerable Tertiary relict tree species in China. …”
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KDM1A epigenetically enhances RAD51 expression to suppress the STING-associated anti-tumor immunity in esophageal squamous cell carcinoma by Qingyuan Yang, Shiyin Wei, Cen Qiu, Chenjie Han, Zunguo Du, Ning Wu

“…Cell growth was assessed by colony formation assays in vitro and subcutaneous xenograft models in vivo. High-throughput transcriptomics and spatial immune proteomics were performed using bulk RNA sequencing and digital spatial profiling techniques, respectively. …”
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Mapping near-real-time soil moisture dynamics over Tasmania with transfer learning by M. T. Widyastuti, J. Padarian, B. Minasny, M. Webb, M. Taufik, D. Kidd

“…Results showed that (1) models calibrated from the Australian dataset performed worse than Tasmanian models regardless of the type of DL approaches; (2) Tasmanian models, calibrated solely using local data, resulted in shortcomings in predicting soil moisture; and (3) transfer learning exhibited remarkable performance improvements (error reductions of up to 45 % and a 50 % increase in correlation) and resolved the drawbacks of the two previous models. …”
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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

“…This process involves spatial normalization of the images and dimensionality reduction via PCA. …”
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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…Although iterative processing can improve the surface accuracy, repeated tool paths tend to deteriorate mid-spatial frequency textures, and for complex surfaces such as aspheres, traditional manual alignment is time-consuming and lacks repeatability, significantly restricting the processing efficiency. …”
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Synergistic Enhancement of Carbon Sinks and Connectivity: Restoration and Renewal of Ecological Networks in Nanjing, China by Renfei Zhang, Hongye Li, Zhicheng Liu

“…This study used Nanjing, China, as a case to construct an ecological network by applying Morphological Spatial Pattern Analysis (MSPA) and the Linkage Mapper (LM) tool based on circuit theory. …”
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Land Rental Transactions in Ethiopian Peri-Urban Areas: Sex and Other Factors for Land Rent Transactions by Sayeh Kassaw Agegnehu, Reinfried Mansberger, Moges Wubet Shita, Derjew Fentie Nurie, Ayelech Kidie Mengesha

“…The continuous reduction in peri-urban agricultural land due to spatial urban expansion forces subsistence farmers to seek arable land through different land access strategies. …”
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Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…This can be captured by machine learning and deep learning methods to stratigraphic segmentation as many people investigated in industry. However, the spatial variability and instability of the peaks and troughs of seismic signals increases the difficulty of applying this technology. …”
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Neuroprotective effects of MIP-15 peptide from Morchella importuna against ischemic-hypoxic brain damage in rats by Chuan Xiong, Ping Li, Qiang Luo, Chia Wei Phan, Xin Jin, Wenli Huang

“…Subsequently, an oxygen glucose deprivation/reoxygenation (OGD/R) model was established in rat primary hippocampal neurons to explore the mechanism of MIP-15 action. …”
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Multi‐stage attention network for monaural speech enhancement by Kunpeng Wang, Wenjing Lu, Peng Liu, Juan Yao, Huafeng Li

“…To tackle such a problem, we divide the speech enhancement model into multiple stages, with a special attention mechanism introduced in each stage so that the detailed speech information is retained and the features of high levels are captured. …”
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Global patterns and drivers of soil dissolved organic carbon concentrations by T. Ren, T. Ren, A. Cai

“…Machine learning techniques were employed, including 10-fold cross-validation and evaluating model performance by <span class="inline-formula"><i>R</i>²</span> and root mean square error values, to predict the relative importance of various predictors and the global distribution of soil DOC concentrations. …”
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