Sensor-Based Monitoring Data from an Industrial System of Centrifugal Pumps by Angelo Martone, Alessia D’Ambrosio, Michele Ferrucci, Assuntina Cembalo, Gianpaolo Romano, Gaetano Zazzaro

“…<b>Conclusions</b>: This dataset supports advanced methodologies in feature extraction, multivariate signal analysis, unsupervised pattern discovery, vibration analysis, and the development of digital twins and soft sensing models for predictive maintenance optimization.…”
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Skeletal ossification of Middle Triassic pachypleurosaur Keichousaurus hui (Reptilia: Sauropterygia) revealed by zinc distribution by Yi-nuo Wang, Da-yong Jiang, Ryosuke Motani, Ming-tao Yao, Cheng Ji, Zuo-yu Sun, Min Zhou

“…Furthermore, by integrating morphological features with the Zn distribution patterns, we infer that pachyostosis in K. hui develops progressively across all stages of growth and development.…”
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Deaf Languages: Does the Hypothesis Still Apply? by Laurence Vincent-Durroux

“…The lack of aural perception in the early months could be responsible for the development of specific cognitive representations, especially of time and space, which may account for persistent patterns of Deaf English despite the subsequent greater amount and variety in linguistic input.…”
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Personality typology, emotional needs, and romantic relationship stability in Chinese college students: A cultural perspective on MBTI dynamics by Jiaxin Li, Gu Fang, Yiyang Li

“…Structural equation modeling further indicated that gender and personality interactions influence emotional stability, with distinct patterns observed among NT, SJ, and SP types. A U-shaped pattern of emotional stability across academic years was identified, with freshmen showing the highest levels, declining in juniors, and slightly recovering in seniors. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Subsequently, it details the core steps of data-driven methods, including the acquisition of operational data from various sensors (e.g., vibration, acoustic, strain), signal preprocessing methods, signal processing and feature extraction techniques covering time-domain, frequency-domain, time–frequency domain combination, and modal analysis among others, and the use of machine learning and artificial intelligence models for fault pattern learning and diagnosis. …”
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Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023) by Jian-cheng Lou, Xiao-fen Yu, Jian-jun Ying, Da-qiao Song, Wen-hua Xiong

“…“deep learning,” “magnetic resonance imaging,” and “stroke” emerged as the most attention-gathering keywords among researchers. The development in this field is marked by a coexisting pattern of interdisciplinary integration and refinement within major disciplinary branches.ConclusionThe application of machine learning in the early prediction and personalized medical plans for stroke patients using neuroimaging characteristics offers significant value. …”
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Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes? by Yangxiaoyue Liu, Yaping Yang, Jia Song

“…Here, we investigate the evolutionary pattern of SM and then carry out an attribution analysis from climate and human perspectives. …”
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Spatial Characterization of Channeling in Sheared Rough‐Walled Fractures in the Transition to Nonlinear Fluid Flow by Robert Egert, Fabian Nitschke, Maziar Gholami Korzani, Thomas Kohl

“…In contrast, parallel to the shearing, a complex pattern of individual tortuous channels emerges, with flow occurring in 22% of the void space. …”
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Phonological category resolution: a study of handshapes in younger and older sign languages by Assaf Israel, Wendy Sandler

“…Our methodology measures the degree of cross-signer consensus with respect to each meaningless phonetic feature of handshape as well as the number of variants (indicating the range of variation), and reveals a consistent pattern across the three languages: The largest amount of variation is found in ABSL; ISL is next; and ASL shows the least amount of cross-signer variation in production of the handshape category. …”
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Permanent and seasonally specific surface heat island structure in urban and non-urban areas in mid-latitude polycentric agglomeration based on Landsat images by Aleksandra Renc, Ewa Łupikasza

“…Permanent non-urban SHI was scattered throughout the GZM without any clear pattern and covered only 0.4% of the entire GZM, and 75% of its area was covered by non-irrigated arable land and pastures. …”
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Spatial distribution characteristics and tourism response of intangible cultural heritage in coastal areas of China by Litao Xie, Tingzuo Feng, Lijun Jiang, Jing Tian

“…Abstract The coastal regions of China are abundant in intangible cultural heritage (ICH) resources characterized by distinct maritime features. The comprehensive integration and development of these resources with tourism represent a critical strategy for the scientific protection and sustainable development of coastal ICH. …”
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Economical, Constructional, and Cultural Conditions of the ‎Mongols by Rajaa Azeez Shallal, Abdulsattar Mutlag Darweesh

“…On the other hand, architecture ‎was limited in terms of documentation and sources, but the geographical ‎expansion contributed to the Mongols' openness to multiple urban patterns. ‎Conclusions: It can be concluded that the nomadic and military nature of ‎Mongol society influenced the features of its economic and urban ‎development, with the military nature dominating production, and a lifestyle ‎based on herding and trade emerging. …”
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Historical commentary in the Russian language lesson as a pedagogical genre by Konstantin A. Kalinin

“…Historical commentary on linguistic facts and patterns helps to understand the cause-and-effect relationships of those phenomena, the study of which is impossible without referring to the history of the development of the Russian language. …”
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Study on the diffusion mechanism of gangue slurry within the rough connected voids in the caving zone by Jiaqi Wang, Wenbing Fan, Rui Gao, Qiang Zhang, Peng Huang

“…To investigate the impact mechanism of roughness, void aperture, and grouting pressure on the diffusion pattern of gangue slurry within the caving zone, a three-dimensional model featuring roughly connected voids was developed using numerical simulation. …”
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning by Seong-Yoon Kim, Hyun-Min Lee, Chae-Young Lim, Hyun-Woo Kim

“…These findings demonstrate the effectiveness of spectrogram-based deep learning models in identifying latent patterns within acoustic data and detecting abnormal symptoms. …”
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Graph-informed convolutional autoencoder to classify brain responses during sleep by Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar

“…The accuracy of the SlS-GICA classifier is 99.92% on the significant feature set. This achievement could be considered in real-time and automatic applications to develop new therapeutic strategies for sleep-related disorders.…”
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Empowering Dysarthric Communication: Hybrid Transformer-CTC-Based Speech Recognition System by R. Vinotha, D. Hepsiba, L. D. Vijay Anand, P. Malin Bruntha, Linh Dinh, Hien Dang

“…The Transformer architecture employs a self-attention mechanism that models complex dependencies between speech features, enabling it to identify and emphasize important patterns even when training data is limited. …”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics by Pavel Ilyushin, Boris Papkov, Aleksandr Kulikov, Konstantin Suslov

“…The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems.…”
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HCAP: Hybrid cyber attack prediction model for securing healthcare applications. by Mohanad Faeq Ali, Mohammed Shakir Mohmood, Ban Salman Shukur, Rex Bacarra, Jamil Abedalrahim Jamil Alsayaydeh, Masrullizam Mat Ibrahim, Safarudin Gazali Herawan

“…The gathered information is processed with the help of Principal Component-Recursive Feature Elimination (PC-RFE), which eliminates the irrelevant features. …”
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