Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…The study also systematically identified the essential and pattern characteristics of the dust time series data and utilized the variational mode decomposition (VMD) with Golden Jackal Optimization (GJO) to decompose the original dust concentration data. …”
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Camouflage or Coincidence? Investigating the Effects of Spatial and Temporal Environmental Features on Feral Cat Morphology in Tasmania by Alexandra J. Paton, Barry W. Brook, Jessie C. Buettel

“…We used 24,657 camera‐trap images of feral cats in Tasmania, Australia, and assigned each cat observation a coat colour and pattern. We analysed these data to examine how different spatial features affect the modal coat type present at a site. …”
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Multimodal Contrastive Learning for Remote Sensing Image Feature Extraction Based on Relaxed Positive Samples by Zhenshi Zhang, Qiujun Li, Wenxuan Jing, Guangjun He, Lili Zhu, Shijuan Gao

“…Traditional multimodal contrastive learning brings text and its corresponding image closer together as a positive pair, where the text typically consists of fixed sentence structures or specific descriptive statements, and the image features are generally global features (with some fine-grained work using local features). …”
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Dynamic electro‐clinical features in Guanidinoacetate N‐methyltransferase deficiency: A familial case series by Mariapaola Schifino, Emanuele Bartolini, Stefano Pagano, Camilla Meossi, Rosa Pasquariello, Roberta Battini

“…The dynamic electroclinical pattern we observed has never been reported beforehand. …”
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Immune infiltration related PRDX4 facilitates the malignant features and drug resistance of breast cancer by Wenying Jiang, Maonan Wang, Qingning Chen, Xiaoqian Yu, Guoqian Liu, Xiaoyun He, Cheng Mei, Chunlin Ou

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Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…Key point features are further characterized using motion histograms, pose landmark visualization and Local Intensity Order Pattern (LIOP) features. …”
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High-grade astrocytoma with piloid features: a single-institution case series and literature review by Eric A. Goethe, Subhiksha Srinivasan, Swaminathan Kumar, Sujit S. Prabhu, Maria A. Gubbiotti, Sherise D. Ferguson

“…Abstract High-grade astrocytoma with piloid features (HGAP) is a recently described primary brain tumor and the first requiring a specific methylation pattern for diagnosis, as its histologic features are often compatible with other tumors such as glioblastoma (GBM). …”
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Epilepsy, epileptiform discharges and features of brain magnetic resonance imaging in merosin-deficient muscular dystrophy by A. V. Monakhova, E. D. Belousova, Z. K. Gorchkhanova

“…A predominantly focal seizure pattern was noted: 7 of 12 (58.4%) patients. The percentage of pharmacoresistance was comparable to epilepsy in general and amounted to 4 of 12 (33.3%) cases. …”
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Multidimensional features of sporadic Creutzfeldt-Jakob disease in the elderly: a case report and systematic review by Jiangfeng Liao, Jiangfeng Liao, Wenming Hu, Wenming Hu, Shiheng Chen, Chunyu Huang, Chunyu Huang, Senwei Dong, Senwei Dong, Wanjin Chen, Wanjin Chen, Xiaochun Chen, Longfei Chen, Longfei Chen

“…This study aims to enunciate the multidimensional features of sCJD in this group.MethodsA case of probable sCJD was reported in a 90-year-old Chinese man with initial dizziness. …”
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Specific features of bronchial inflammation in asthma patients with airway hyper-responsiveness to cold and osmotic stimuli by Aleksey B. Pirogov, Anna G. Prikhodko, Sergey V. Zinov’ev, Eugen A. Borodin, Elena V. Ushakova, Galina A. Makarova, Juliy M. Perelman

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

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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. …”
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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. …”
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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. …”
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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.…”
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Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score by Xiaoan Yan, Ying Liu, Peng Ding, Minping Jia

“…Pattern spectrum (PS) and pattern spectrum entropy (PSE) in recent years have been smoothly applied in feature extraction, whereas they easily ignore the partial impulse signatures hidden in bearing vibration data. …”
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Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence by Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Lepore Brianna N, Mariah Chobany, Halimah Abdul-waalee, Greeshma Malgireddy, Jonathan A. Hart, Michele A. Bertocci, Rasim S. Diler

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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. …”
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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). …”
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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. …”
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