Scleromyxedema concurrent with dermatomyositis and paraproteinemia: A case report by M. N. Starovoitova, O. V. Desinova, N. G. Guseva

“…There was no evidence for scleroderma systematica that was supposed to be present in the patient who had scleroderma-like skin involvement.The authors have repeatedly mentioned the concurrency pattern of scleroderma diseases, which reflects the close mechanisms of their development and hinders the identification of specific nosological entities. …”
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Promoting by Looking Into Friend Circles: An Inadequately-Labeled and Socially-Aware Financial Technique for Products Recommendation by Nan Su

“…Our approach uses a geometry-based feature selection strategy to accurately capture each user’s buying patterns, which are characterized by a range of features, including those learned under weak supervision. …”
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Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…Unlike conventional methods that often require manual feature selection and engineering, CNNs automate feature extraction, enabling a more nuanced understanding of complex patterns. …”
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Regulation of ubiquitination in sepsis: from PAMP versus DAMP to peripheral inflammation and cell death by Yueying Li, Jiongyan Yu, Zhiwen Zeng, Weixiong Lin

“…Pathogen-associated molecular patterns (PAMP) and damage-associated molecular patterns (DAMP) induce strong immune responses and exacerbate inflammation by activating pattern recognition receptors (PRRs) in the host. …”
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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

“…Face recognition is one of the important elements that can be used for securing the facilities, emotion recognition, sentiment exploration, fraud analysis, and traffic pattern analysis. Intelligent face recognition has yielded excellent accuracy in a controlled environment whereas vice versa in an uncontrolled environment. …”
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Shoot complexes on the apical part of the crown of generative <i>Fraxinus excelsior</i> L. trees by I. S. Antonova, M. S. Televinova

“…The apical branches of the umbrella-shaped crown of generative ash trees are inverted cone-shaped shoot complexes with a similar development pattern.   Conclusion. The structure and development of F. excelsior branches characterizes the ecological features of the species, manifested through the absence of obvious branching orders and combined with the inverted conical shape of large branches.…”
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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context by Dan Li

“…Hidden Markov style has been widely used in English speech semantic recognition. The experiments of feature extraction and pattern recognition of speech samples prove that Hidden Markovian has higher recognition rate and better recognition effect in speech emotion recognition. …”
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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). …”
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O perspectivă inedită asupra romanului latin by Carmen-Nicola Jumara

“…We realize that Petronius’s and Apuleius’s perspective represent an element of continuity in the development of the novel. The next feature of the novel under debate is the one of the intrigue. …”
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Human Action Recognition Method Based on Multi-channel Fusion by Zhiyong TAO, Xijun GUO, Xiaokui REN, Ying LIU, Zemin WANG

“…A temporal convolution network captures temporal dependencies within the extracted action features, distinguishing between actions with similar spatial characteristics but distinct temporal patterns. …”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…Our model incorporates a joint loss function combining point and probability forecasting evaluations to accurately quantify online batch errors. It also features a buffer to store batch data showing pattern changes and dynamically adjusts weights to counteract concept drift. …”
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Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. by João A N Filipe, Eleanor M Riley, Christopher J Drakeley, Colin J Sutherland, Azra C Ghani

“…The model comprising immunity to clinical disease which develops early in life and is exposure-dependent, and anti-parasite immunity which develops later in life and is not dependent on the magnitude of exposure, appears to best reproduce the pattern of parasite prevalence and clinical disease by age in different malaria transmission settings. …”
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5-Methylcytosine methylation predicts cervical cancer prognosis, shaping immune cell infiltration by Luyang Su, Ren Xu, Yanan Ren, Shixia Zhao, Liyun Song, Cuiqiao Meng, Weilan Liu, Xuan Zhou, Zeqing Du

“…The 5-methylcytosine score feature was utilized to determine the 5-methylcytosine modification pattern in cervical cancer, revealing that patients with low 5-methylcytosine scores exhibited better survival rates, whereas those with high scores had increased mutation frequencies and better treatment responses. …”
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Automated Deadlift Techniques Assessment and Classification Using Deep Learning by Wegar Lien Grymyr, Isah A. Lawal

“…Furthermore, we designed an application that integrates keypoint visualizations with motion pattern classifications. This tool provides users with valuable feedback on their performance and includes a replay feature for self-assessment, helping lifters refine their technique and reduce the risk of injury.…”
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INTERBLOCK ZONES IN THE CRUST OF THE SOUTHERN REGIONS OF EAST SIBERIA: TECTONOPHYSICAL INTERPRETATION OF GEOLOGICAL AND GEOPHYSICAL DATA by K. Zh. Seminsky, N. O. Kozhevnikov, A. V. Cheremnykh, E. V. Pospeeva, A. A. Bobrov, V. V. Olenchenko, M. A. Tugarina, V. V. Potapov, R. M. Zaripov, A.S. Cheremnykh

“…Integrated interpretation of the data is challenging: when applied separately, the methods and techniques reveal various specific features of interblock zone that differ in the degree of heterogeneity of the internal patterns depending on conditions of their formation and development. …”
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The geopolitical environment impact of Arctic Passage on Eurasia: An analysis based on multi-factor geometric potential models by Chunjuan Wang, Dahai Liu, Haiyan Shan, Yuan Chi, Quanbin Wang, Ying Yu, Xiaoyang Yang

“…Meanwhile, it will provide a comprehensive reference for the development and utilization of the Arctic Passage about the geopolitical environment patterns.…”
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An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery by Wenbo Chen, Dongliang Wang, Xiaowei Xie

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Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer by Nobuko Irie, Naoki Takeda, Yorifumi Satou, Kimi Araki, Masahiro Ono

“…Furthermore, analysis of wild-type Foxp3 fluorescent Timer reporter mice at different ages uncovered distinct patterns of Foxp3 expression from neonatal to aged mice, highlighting prominent thymus-like features of neonatal splenic Foxp3 + T cells. …”
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IoT-Based Traffic Prediction for Smart Cities by Zhinong Miao, Qilong Liao

“…The implications for smart city development are substantial, as the model offers a robust solution for managing complex traffic patterns and enhancing real-time decision-making. …”
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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…To enhance predictive accuracy, the tool incorporates machine learning classifiers&#x2014;Naive Bayes (NB), Decision Tree (DT), Random Forest (RF), and Linear Support Vector Machine (LSVM)&#x2014;trained on various feature combinations, including Abstract Features (AF), Halstead Features (HF), and Semantic Features (SF). …”
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