Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…As an extension of non-negative matrix factorization (NMF), graph-regularized non-negative matrix factorization (GNMF) has been widely applied in data mining and machine learning, particularly for tasks such as clustering and feature selection. Traditional GNMF methods typically rely on predefined graph structures to guide the decomposition process, using fixed data graphs and feature graphs to capture relationships between data points and features. …”
Get full text

A feature fusion network with spatial-temporal-enhanced strategy for the motor imagery of force intensity variation by Ankai Ying, Ankai Ying, Ankai Ying, Jinwang Lv, Jinwang Lv, Jinwang Lv, Junchen Huang, Junchen Huang, Junchen Huang, Tian Wang, Peixin Si, Peixin Si, Jiyu Zhang, Guokun Zuo, Guokun Zuo, Guokun Zuo, Guokun Zuo, Jialin Xu, Jialin Xu, Jialin Xu, Jialin Xu

“…This model combines a multi-scale spatial-temporal convolution module with a spatial-temporal-enhanced strategy, a convolutional auto-encoder for information reconstruction, and a long short-term memory with self-attention, enabling the comprehensive extraction and fusion of EEG features across fine-grained time-frequency variations and dynamic spatial-temporal patterns.ResultsThe proposed FN-SSIR achieved a classification accuracy of 86.7% ± 6.6% on our force variation MI dataset, and 78.4% ± 13.0% on the BCI Competition IV 2a dataset.DiscussionThese findings highlight the potential of this paradigm and algorithm for advancing MI-BCI systems in rehabilitation training based on dynamic force interactions.…”
Get full text

Fusion of deep neural networks and infrared wave analysis for climate pattern prediction and shifting sand hazard Assessment by Huayu Lu, Marzieh Mokarram

Get full text

Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

“…The region of interest of the tumor was delineated on the computed tomography (CT) images, and radiomics features were extracted. A nomogram model was established using radiomics features, clinical features and conventional radiographic features. …”
Get full text

Estimation of the pattern of ocular manifestations, risk factors, and imaging of rhino-orbital-cerebral mucormycosis in COVID-19 patients by Rajwinder Kaur, Grace Budhiraja, Upasana Bhumbla, Manjot Kaur, Vandana Sharma, Priyanka Gupta, Ritesh Singla, Akashdeep Goel, Ekta Gupta, Priyanka Dahiya

“…The most common ocular clinical features were ptosis (80%) and loss of vision 48.7%, respectively. …”
Get full text

A method for mining over-limit patterns of low voltage in users based on hierarchical affinity propagation clustering by SHEN Shuhao, ZHONG Qing, XU Zhong, WANG Gang, LI Haifeng, WANG Longjun

“…The features of the over-limit patterns are then drived by calculating the indices for each cluster. …”
Get full text

Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

“…Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking into consideration the vulnerability of assets in the system and the security measures implemented.However, the lack of entity relations between these knowledge bases hinders the security event tracking and attack path generation.To complement entity relations between CAPEC and ATT＆amp;CK techniques and enrich threat paths, an entity correlation prediction method called WGS was proposed, in which entity descriptions were analyzed based on word embedding and a graph convolution network.A Word2Vec model was trained in the proposed method for security domain to extract domain-specific semantic features and a GCN model to capture the co-occurrence between words and sentences in entity descriptions.The relationship between entities was predicted by a Siamese network that combines these two features.The inclusion of external semantic information helped address the few-shot learning problem caused by limited entity relations in the existing knowledge base.Additionally, dynamic negative sampling and regularization was applied in model training.Experiments conducted on CAPEC and ATT＆amp;CK database provided by MITRE demonstrate that WGS effectively separates related entity pairs from irrelevant ones in the sample space and accurately predicts new entity relations.The proposed method achieves higher prediction accuracy in few-shot learning and requires shorter training time and less computing resources compared to the Bert-based text similarity prediction models.It proves that word embedding and graph convolutional network based entity relation prediction method can extract new entity correlation relationships between attack patterns and techniques.This helps to abstract attack techniques and tactics from low-level vulnerabilities and weaknesses in security threat analysis.…”
Get full text

Growth Performance, Feed Intake and vegf121 Gene Expression Feature of Dwarf Cyprinus carpio rubrofuscus by Shuozhen CHEN, Dongmei MA, Zaixuan ZHONG, Jiajia FAN, Huaping ZHU, Huanhuan SU

“…To explore the molecular mechanism of dwarf fish formation in the cultured population of Cyprinus carpio rubrofuscus and the functions of vascular endothelial growth factor (VEGF) in fish growth, the features of growth trait, feed intake, and feed utilization of dwarf fish were detected and analyzed. …”
Get full text

InSAR-derived seasonal subsidence reflects spatial soil moisture patterns in Arctic lowland permafrost regions by B. Widhalm, B. Widhalm, A. Bartsch, A. Bartsch, T. Strozzi, N. Jones, A. Khomutov, E. Babkina, M. Leibman, R. Khairullin, M. Göckede, H. Bergstedt, H. Bergstedt, C. von Baeckmann, C. von Baeckmann, X. Muri, X. Muri

“…<p>The identification of spatial soil moisture patterns is of high importance for various applications in high-latitude permafrost regions but challenging with common remote sensing approaches due to high landscape heterogeneity. …”
Get full text

Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. Thermal images from the Tufts Face Database and self-collected images were utilized to train the models in identifying temperature variations in specific facial regions. …”
Get full text

Composition, formation conditions, distribution patterns and zoning of gold mineralization in the Stadukhinsky ore-placer region (Western Chukotka) by Nikolaev Yu. N., Balykova I. V., Kuzin S. V., Baksheev I. A., Apletalin A. V., Prokofiev V. Yu., Vlasov E. A., Kalko I. A., Kosyatov V. V.

Get full text

Research on variable-length control chart pattern recognition based on sliding window method and SECNN-BiLSTM by Tao Zan, Xiaolong Jia, Xiaoyu Guo, Min Wang, Xiangsheng Gao, Peng Gao

“…This network, inspired by residual structures, extracts multiple features to build a control chart recognition model. …”
Get full text

Tumor Budding, Micropapillary Pattern, and Polyploidy Giant Cancer Cells in Colorectal Cancer: Current Status and Future Prospects by Shiwu Zhang, Dan Zhang, Zhengduo Yang, Xipeng Zhang

“…There are similar morphologic features and molecular phenotypes among tumor budding, micropapillary carcinoma pattern, and PGCCs with their budding daughter cells and all of them show strong ability of tumor invasion and migration. …”
Get full text

Climatic variability and temperature and rainfall patterns in Murcia (1863-2017). Climate analysis techniques in the context of global change by Salvador Gil-Guirado, Alfredo Pérez-Morales

“…The climatic characterisation of successive periods in the last 30 years confirms these patterns and shows how the climate in Murcia has changed since the last third of the 19th century (when the Murcia climate was typically Mediterranean with hot dry summers). …”
Get full text

Do New World pitvipers “scale‐down” at high elevations? Macroecological patterns of scale characters and body size by Robert C. Jadin, Joseph R. Mihaljevic, Sarah A. Orlofske

“…Moreover, adaptive traits, such as epidermal features like scales, have not been widely examined in conjunction with Bergmann's rule, even though these traits affect physiological processes, such as thermoregulation, which are hypothesized as underlying mechanisms for the pattern. …”
Get full text

Тhe main patterns of forming the microelement composition of soils under mountain-meadow vegetation in the Western Caucasus by T. V. Degtyareva, A. A. Likhovid

Get full text

Analyzing Taiwanese Traffic Patterns on Consecutive Holidays Through Forecast Reconciliation and Prediction-Based Anomaly Detection Techniques by Mahsa Ashouri, Frederick Kin Hing Phoa, Marzia Angela Cremona

“…This study explores traffic patterns on Taiwanese highways during consecutive holidays, with a focus on understanding the behavior of Taiwanese highway traffic. …”
Get full text

Design of a Microstrip Line Fed SIW Ring Antenna With Sixth-Order Circular Polarized Conical Pattern by Umar Fayyaz, Shahab Ahmad Niazi, Khaled Al-Jaloud, Waqar Ahmad Malik, Abdul Aziz, Rifaqat Hussain, Ali H. Alqahtani, Akram Alomainy

“…The dual feed single port mechanism successfully radiates the desired radiation pattern at 6.55 GHz, making the design suitable for satellite communication applications. …”
Get full text

Investigation of Personalized Visual Stimuli via Checkerboard Patterns Using Flickering Circles for SSVEP-Based BCI System by Nannaphat Siribunyaphat, Natjamee Tohkhwan, Yunyong Punsawad

“…The first study introduces a novel visual stimulus paradigm that combines checkerboard patterns with flickering circles configured in single-, double-, and triple-layer forms. …”
Get full text

Sex disparities in papillary thyroid cancer survival: Divergent patterns of relative and absolute effects across the age spectrum. by Hui Ouyang, Xiaolin Dou, Xinying Li, Mingyu Cao, Zhijing Wu, Fada Xia

Get full text