Comprehensive Analysis to Reveal Amino Acid Metabolism-Associated Genes as a Prognostic Index in Gastric Cancer by Gangjun Zhao, Mi Wu, Qiuwen Yan

“…We developed a scoring system (AAM score) based on 4 AAM gene expressions to measure the AAM patterns of each patient. …”
Get full text

Construction and characterization of cultural landscape genomic maps of traditional miao communities in Leigong Mountain by Han Gu, Hongyu Chen, Yiting Luo, Ke Xu

“…This study clarifies the spatial distribution pattern of the cultural landscape genome of traditional gMiao villages in Leigong Mountain by constructing an atlas and identifying the relationship between the mutual influences of various elements during the development and evolution of the villages. …”
Get full text

Types and applicability of waterflooding characteristic curves in fractured-cavity carbonate reservoirs: A case study of Tahe Oilfield by ZHENG Lingli, ZHU Bingqian, ZHANG Yuhao, LI Xiaobo, PENG Jiaming, XIAO Wenlian

Get full text

Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space by Yangguang Hao, Zhongwei Shen, Jiexi Ma, Jiawei Li, Mengqian Yang

“…Urban Agglomerations (UAs), as the primary form of China’s new urbanization and an essential spatial unit for promoting coordinated regional development, play a crucial role in measuring the sustainable and healthy development of urban clusters through the assessment of spatial network connections among cities within the UAs. …”
Get full text

Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Spatial analysis units encompass regular grids, road blocks, image segmentation units, traffic analysis zones, and buildings. Data features consist of the remote sensing image-derived features (such as visual, spatial pattern, and abstract features) and the geospatial big data-derived features (such as spatial, attribute, and temporal features). …”
Get full text

Multi-branch GAT-GRU-transformer for explainable EEG-based finger motor imagery classification by Zhuozheng Wang, Yunlong Wang

“…However, due to the complex, noisy, and non-stationary nature of EEG signals, traditional classification methods—such as Common Spatial Pattern (CSP) and Power Spectral Density (PSD)—struggle to extract meaningful, multidimensional features. …”
Get full text

Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
Get full text

Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…Abstract The incidence rate of cervical cancer (CC) is three times greater in Southeast Asia (SEA), where screening tests are less common than in Northern America, underlining a need for convenient self-diagnostic methods. The expression pattern of microRNAs (miRNAs) has been considered a molecular tool for non-invasive cancer diagnosis and prognosis. …”
Get full text

A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Met... by A. S. Albahri, Z. T. Al-qaysi, Laith Alzubaidi, Alhamzah Alnoor, O. S. Albahri, A. H. Alamoodi, Anizah Abu Bakar

“…The literature’s findings in terms of the main aspects identified in existing applications of deep learning pattern recognition techniques in SSVEP-based BCI, such as feature extraction, classification, activation functions, validation methods, and achieved classification accuracies, are examined. …”
Get full text

Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

“…Different from targets in ordinary videos, targets in satellite videos usually demonstrate the phenomenon of a small size occupation pattern (small) and weak feature capture (dim) due to occlusion, illumination variation, and confusion with the surroundings. …”
Get full text

An Improved IoT Based Hybrid Predictive Load Forecasting Model for a Greenhouse Integrated With Demand Side Management by Soumya Ranjan Biswal, Tanmoy Roy Choudhury, Babita Panda, Subhrajyoti Mishra

“…A hybrid predictive model integrating Extreme Gradient Boosting (XGBoost) for static feature learning and Long Short-Term Memory (LSTM) for sequential pattern recognition is proposed, coupled with a priority-based DSM framework deployed on a Raspberry Pi IoT platform. …”
Get full text

QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting. by Dominic Waithe, Peter Rennert, Gabriel Brostow, Matthew D W Piper

“…We report the development and testing of software called QuantiFly: an automated tool to quantify Drosophila egg laying. …”
Get full text

Deep learning-based debris flow hazard detection and recognition system: a case study by Fei Wu, Jianlin Zhang, Dunlong Liu, Andreas Maier, Vincent Christlein

Get full text

Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Additionally, the study generated field-scale CGI spatiotemporal distribution maps, revealing the temporal and spatial variation patterns of crop growth. In summary, this study provides an efficient method for monitoring the growth of drip-irrigated spring maize in Northwest China, offering valuable guidance for precision agriculture management and sustainable development.…”
Get full text

FAULTING IN THE LITHOSPHERE: THE 35TH ANNIVERSARY OF THE IRKUTSK SCHOOL OF TECTONOPHYSICS by S. I. Sherman, K. Zh. Seminsky, S. A. Bornyakov

“…It is established that internal patterns of areas of dynamic influence of faults are composed of zones that can be revealed both laterally and in depth, and such zonal patterns depend on the degree of tectonical and dynamo-metamorphical transformation of the rocks.The internal structure of continental fault zones was studied, and three main disjunctive stages were revealed, each corresponding to a specific type of deformation behaviour of the medium, its state of stresses, pathogenesis of faults varying in ranks, and variations of parameters in space and time.Triple paragenesises of fractures were revealed and analysed for a number of regions, and such studies provided the basis to propose a method of specialized mapping of the crust, which provides for determination of locations of fault zones and their boundaries, conditions of their formation and major specific features of their internal structures. …”
Get full text

An Interactive Clustering-Based Visualization Tool for Air Quality Data Analysis by Mahsa Ashouri, Frederick Kin Hing Phoa, Chun-Houh Chen, Galit Shmueli

“…An improved understanding of PM2.5 seasonal patterns can help environmental protection agencies (EPAs) make decisions and develop complex models for controlling the concentration of PM2.5 in different regions. …”
Get full text

Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics data by Lili Tang, Rui Tang, Junjie Zheng, Pengfei Zhao, Rongxin Zhu, Yanqing Tang, Xizhe Zhang, Xiaohong Gong, Fei Wang

“…We identified three neuroimaging-based MDD subtypes, each characterized by unique ALFF pattern alterations compared to HC. Multi-omics analysis showed a strong genetic predisposition for Subtype 1, primarily enriched in neuronal development and synaptic regulation pathways. …”
Get full text

Carapace Morphological Characteristics of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) from Emerging Origins Revealed via Geometric Morphometrics by Wang Zhang, Junren Xue, Li Ma, Jian Yang

“…Compared to the average morphology, the first lateral tooth of the carapace of the Zhenlai crab was shorter, and the M pattern was enlarged in males, whereas the first and second lateral teeth of the crabs from the other two origins were longer, and the M pattern was reduced. …”
Get full text

T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 sequences per sample. …”
Get full text

RESULTS OF THE TECTONOPHYSICAL STUDY IN THE DZHANKHOT THRUST ZONE (NORTHWESTERN CAUCASUS) by A. V. Marinin, T. Yu. Tveritinova

“…The relevance of the research topic is found on the reason that despite the obvious importance of these overthrust nappes in the structure of the Greater Caucasus there is still lack of in-situ observational data on the detailed structure of thrust zones and on tectonic stress distribution pattern therein.As a result of the structural and geological studies of small disjunctive and plicative forms in the Upper Cretaceous and Paleocene sediment contact along the Dzhankhot thrust, there were identified the major structural and tectonic deformation patterns and the areal distribution of tectonic deformations depending on the distance to the thrust. …”
Get full text